Merge branch 'nlmixr'

316 files changed, 27257 insertions, 3091 deletions

diff --git a/.Rbuildignore b/.Rbuildignore
index f9ff58a0..208d9d46 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -26,6 +26,7 @@
 ^vignettes/FOCUS_Z.tex$
 ^vignettes/mkin.tex$
 ^vignettes/mkin_benchmarks.rda$
+^vignettes/web_only/.build.timestamp$
 ^vignettes/web_only/mkin_benchmarks.rda$
 ^mkin_.*\.tar\.gz
 ^mkin.tar$
diff --git a/.travis.yml b/.travis.yml
index d47e2e8f..84c6d7c5 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -6,6 +6,7 @@ addons:
     packages:
       - gcc
       - libgit2-dev
+      - libmpfr-dev
 cache: packages
 repos:
   CRAN: https://cloud.r-project.org
@@ -15,6 +16,8 @@ r_packages:
   - devtools
   - covr
   - vdiffr
+r_github_packages:
+  - saemixdevelopment/saemixextension
 script:
   - R CMD build .
   - R CMD check --no-tests mkin_*.tar.gz
diff --git a/DESCRIPTION b/DESCRIPTION
index 8450ead0..d216d6fb 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Package: mkin
 Type: Package
 Title: Kinetic Evaluation of Chemical Degradation Data
-Version: 1.0.5
-Date: 2021-09-15
+Version: 1.1.0
+Date: 2021-10-01
 Authors@R: c(
   person("Johannes", "Ranke", role = c("aut", "cre", "cph"),
     email = "jranke@uni-bremen.de",
@@ -14,12 +14,17 @@ Description: Calculation routines based on the FOCUS Kinetics Report (2006,
   2014).  Includes a function for conveniently defining differential equation
   models, model solution based on eigenvalues if possible or using numerical
   solvers.  If a C compiler (on windows: 'Rtools') is installed, differential
-  equation models are solved using automatically generated C functions.  Please
-  note that no warranty is implied for correctness of results or fitness for a
-  particular purpose.
+  equation models are solved using automatically generated C functions.
+  Heteroscedasticity can be taken into account using variance by variable or
+  two-component error models as described by Ranke and Meinecke (2018)
+  <doi:10.3390/environments6120124>.  Interfaces to several nonlinear
+  mixed-effects model packages are available, some of which are described by
+  Ranke et al. (2021) <doi:10.3390/environments8080071>.  Please note that no
+  warranty is implied for correctness of results or fitness for a particular
+  purpose.
 Depends: R (>= 2.15.1), parallel
-Imports: stats, graphics, methods, deSolve, R6, inline (>= 0.3.17), numDeriv,
-  lmtest, pkgbuild, nlme (>= 3.1-151), purrr
+Imports: stats, graphics, methods, deSolve, R6, inline (>= 0.3.19), numDeriv,
+  dplyr, lmtest, pkgbuild, nlme (>= 3.1-151), purrr, saemix, nlmixr
 Suggests: knitr, rbenchmark, tikzDevice, testthat, rmarkdown, covr, vdiffr,
   benchmarkme, tibble, stats4
 License: GPL
diff --git a/GNUmakefile b/GNUmakefile
index 479d8454..39270cb3 100644
--- a/GNUmakefile
+++ b/GNUmakefile
@@ -109,7 +109,7 @@ pd: roxygen
 	"$(RBIN)/Rscript" -e "pkgdown::build_site(run_dont_run = TRUE, lazy = TRUE)"
 	git add -A
 
-pd_release: roxygen
+pd_all: roxygen
 	"$(RBIN)/Rscript" -e "pkgdown::build_site(run_dont_run = TRUE)"
 	git add -A
 
diff --git a/NAMESPACE b/NAMESPACE
index 9776d2f3..aa3899ac 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -8,6 +8,8 @@ S3method(aw,mmkin)
 S3method(confint,mkinfit)
 S3method(f_time_norm_focus,mkindsg)
 S3method(f_time_norm_focus,numeric)
+S3method(intervals,nlmixr.mmkin)
+S3method(intervals,saem.mmkin)
 S3method(loftest,mkinfit)
 S3method(logLik,mkinfit)
 S3method(lrtest,mkinfit)
@@ -16,6 +18,7 @@ S3method(mixed,mmkin)
 S3method(mkinpredict,mkinfit)
 S3method(mkinpredict,mkinmod)
 S3method(nlme,mmkin)
+S3method(nlmixr,mmkin)
 S3method(nobs,mkinfit)
 S3method(parms,mkinfit)
 S3method(parms,mmkin)
@@ -30,11 +33,18 @@ S3method(print,mkinmod)
 S3method(print,mmkin)
 S3method(print,nafta)
 S3method(print,nlme.mmkin)
+S3method(print,nlmixr.mmkin)
+S3method(print,saem.mmkin)
 S3method(print,summary.mkinfit)
 S3method(print,summary.nlme.mmkin)
+S3method(print,summary.nlmixr.mmkin)
+S3method(print,summary.saem.mmkin)
 S3method(residuals,mkinfit)
+S3method(saem,mmkin)
 S3method(summary,mkinfit)
 S3method(summary,nlme.mmkin)
+S3method(summary,nlmixr.mmkin)
+S3method(summary,saem.mmkin)
 S3method(update,mkinfit)
 S3method(update,mmkin)
 S3method(update,nlme.mmkin)
@@ -53,7 +63,9 @@ export(endpoints)
 export(f_time_norm_focus)
 export(get_deg_func)
 export(ilr)
+export(intervals)
 export(invilr)
+export(invtffm0)
 export(loftest)
 export(logistic.solution)
 export(lrtest)
@@ -82,19 +94,30 @@ export(nafta)
 export(nlme)
 export(nlme_data)
 export(nlme_function)
+export(nlmixr)
+export(nlmixr_data)
+export(nlmixr_model)
 export(parms)
 export(plot_err)
 export(plot_res)
 export(plot_sep)
+export(saem)
+export(saemix_data)
+export(saemix_model)
 export(sigma_twocomp)
+export(tffm0)
 export(transform_odeparms)
 import(deSolve)
 import(graphics)
 import(nlme)
 importFrom(R6,R6Class)
+importFrom(dplyr,"%>%")
 importFrom(grDevices,dev.cur)
 importFrom(lmtest,lrtest)
 importFrom(methods,signature)
+importFrom(nlme,intervals)
+importFrom(nlmixr,nlmixr)
+importFrom(nlmixr,tableControl)
 importFrom(parallel,detectCores)
 importFrom(parallel,mclapply)
 importFrom(parallel,parLapply)
@@ -105,6 +128,7 @@ importFrom(stats,aggregate)
 importFrom(stats,as.formula)
 importFrom(stats,coef)
 importFrom(stats,coefficients)
+importFrom(stats,confint)
 importFrom(stats,cov2cor)
 importFrom(stats,dist)
 importFrom(stats,dnorm)
@@ -124,7 +148,10 @@ importFrom(stats,qnorm)
 importFrom(stats,qt)
 importFrom(stats,residuals)
 importFrom(stats,rnorm)
+importFrom(stats,sd)
 importFrom(stats,shapiro.test)
 importFrom(stats,update)
+importFrom(stats,vcov)
 importFrom(utils,getFromNamespace)
+importFrom(utils,packageVersion)
 importFrom(utils,write.table)
diff --git a/NEWS.md b/NEWS.md
index e8a57aba..cb5b3bf7 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,19 @@
+# mkin 1.1.0 (unreleased)
+
+## Mixed-effects models
+
+- Introduce an interface to nlmixr, supporting estimation methods 'saem' and 'focei': S3 method 'nlmixr.mmkin' using the helper functions 'nlmixr_model' and 'nlmixr_data' to set up nlmixr models for mmkin row objects, with summary and plot methods.
+
+- Reintroduce the interface to current development versions (not on CRAN) of saemix, in particular the generic function 'saem' with a generator 'saem.mmkin', currently using 'saemix_model' and 'saemix_data', summary and plot methods
+
+- 'mean_degparms': New argument 'test_log_parms' that makes the function only consider log-transformed parameters where the untransformed parameters pass the t-test for a certain confidence level. This can be used to obtain more plausible starting parameters for the different mixed-effects model backends
+
+- 'plot.mixed.mmkin': Gains arguments 'test_log_parms' and 'conf.level'
+
+- 'vignettes/web_only/dimethenamid_2018.rmd': Example evaluations of the dimethenamid data.
+
+- 'intervals': Provide methods of this nlme function for 'nlmixr.mmkin' and 'saem.mmkin' objects.
+
 # mkin 1.0.5 (2021-09-15)
 
 - 'dimethenamid_2018': Correct the data for the Borstel soil. The five observations from Staudenmaier (2013) that were previously stored as "Borstel 2" are actually just a subset of the 16 observations in "Borstel 1" which is now simply "Borstel"
diff --git a/R/dimethenamid_2018.R b/R/dimethenamid_2018.R
index 0d8f681f..2bf5fb77 100644
--- a/R/dimethenamid_2018.R
+++ b/R/dimethenamid_2018.R
@@ -15,7 +15,55 @@
 #' @source Rapporteur Member State Germany, Co-Rapporteur Member State Bulgaria (2018)
 #'   Renewal Assessment Report Dimethenamid-P Volume 3 - B.8 Environmental fate and behaviour
 #'   Rev. 2 - November 2017
-#'   \href{https://open.efsa.europa.eu}{https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716}
+#'   \url{https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716}
 #' @examples
 #' print(dimethenamid_2018)
+#' dmta_ds <- lapply(1:7, function(i) {
+#'   ds_i <- dimethenamid_2018$ds[[i]]$data
+#'   ds_i[ds_i$name == "DMTAP", "name"] <-  "DMTA"
+#'   ds_i$time <- ds_i$time * dimethenamid_2018$f_time_norm[i]
+#'   ds_i
+#' })
+#' names(dmta_ds) <- sapply(dimethenamid_2018$ds, function(ds) ds$title)
+#' dmta_ds[["Elliot"]] <- rbind(dmta_ds[["Elliot 1"]], dmta_ds[["Elliot 2"]])
+#' dmta_ds[["Elliot 1"]] <- NULL
+#' dmta_ds[["Elliot 2"]] <- NULL
+#' \dontrun{
+#' dfop_sfo3_plus <- mkinmod(
+#'   DMTA = mkinsub("DFOP", c("M23", "M27", "M31")),
+#'   M23 = mkinsub("SFO"),
+#'   M27 = mkinsub("SFO"),
+#'   M31 = mkinsub("SFO", "M27", sink = FALSE),
+#'   quiet = TRUE
+#' )
+#' f_dmta_mkin_tc <- mmkin(
+#'   list("DFOP-SFO3+" = dfop_sfo3_plus),
+#'   dmta_ds, quiet = TRUE, error_model = "tc")
+#' nlmixr_model(f_dmta_mkin_tc)
+#' # The focei fit takes about four minutes on my system
+#' system.time(
+#'   f_dmta_nlmixr_focei <- nlmixr(f_dmta_mkin_tc, est = "focei",
+#'     control = nlmixr::foceiControl(print = 500))
+#' )
+#' summary(f_dmta_nlmixr_focei)
+#' plot(f_dmta_nlmixr_focei)
+#' # Using saemix takes about 18 minutes
+#' system.time(
+#'   f_dmta_saemix <- saem(f_dmta_mkin_tc, test_log_parms = TRUE)
+#' )
+#'
+#' # nlmixr with est = "saem" is pretty fast with default iteration numbers, most
+#' # of the time (about 2.5 minutes) is spent for calculating the log likelihood at the end
+#' # The likelihood calculated for the nlmixr fit is much lower than that found by saemix
+#' # Also, the trace plot and the plot of the individual predictions is not
+#' # convincing for the parent. It seems we are fitting an overparameterised
+#' # model, so the result we get strongly depends on starting parameters and control settings.
+#' system.time(
+#'   f_dmta_nlmixr_saem <- nlmixr(f_dmta_mkin_tc, est = "saem",
+#'     control = nlmixr::saemControl(print = 500, logLik = TRUE, nmc = 9))
+#' )
+#' traceplot(f_dmta_nlmixr_saem$nm)
+#' summary(f_dmta_nlmixr_saem)
+#' plot(f_dmta_nlmixr_saem)
+#' }
 "dimethenamid_2018"
diff --git a/R/endpoints.R b/R/endpoints.R
index b5872e68..6bf52f07 100644
--- a/R/endpoints.R
+++ b/R/endpoints.R
@@ -10,8 +10,8 @@
 #' Additional DT50 values are calculated from the FOMC DT90 and k1 and k2 from
 #' HS and DFOP, as well as from Eigenvalues b1 and b2 of any SFORB models
 #'
-#' @param fit An object of class [mkinfit] or [nlme.mmkin] 
-#'  or another object that has list components
+#' @param fit An object of class [mkinfit], [nlme.mmkin], [saem.mmkin] or
+#'  [nlmixr.mmkin]. Or another object that has list components
 #'  mkinmod containing an [mkinmod] degradation model, and two numeric vectors,
 #'  bparms.optim and bparms.fixed, that contain parameter values
 #'  for that model.
@@ -20,8 +20,8 @@
 #'   and, if applicable, a vector of formation fractions named ff
 #'   and, if the SFORB model was in use, a vector of eigenvalues
 #'   of these SFORB models, equivalent to DFOP rate constants
-#' @note The function is used internally by [summary.mkinfit]
-#'   and [summary.nlme.mmkin]
+#' @note The function is used internally by [summary.mkinfit],
+#'   [summary.nlme.mmkin] and [summary.saem.mmkin].
 #' @author Johannes Ranke
 #' @examples
 #'
diff --git a/R/intervals.R b/R/intervals.R
new file mode 100644
index 00000000..e2d342f0
--- /dev/null
+++ b/R/intervals.R
@@ -0,0 +1,179 @@
+#' @importFrom nlme intervals
+#' @export
+nlme::intervals
+
+#' Confidence intervals for parameters in saem.mmkin objects
+#'
+#' @param object The fitted saem.mmkin object
+#' @param level The confidence level. Must be the default of 0.95 as this is what
+#'   is available in the saemix object
+#' @param backtransform In case the model was fitted with mkin transformations,
+#'  should we backtransform the parameters where a one to one correlation
+#'  between transformed and backtransformed parameters exists?
+#' @return An object with 'intervals.saem.mmkin' and 'intervals.lme' in the
+#'  class attribute
+#' @export
+intervals.saem.mmkin <- function(object, level = 0.95, backtransform = TRUE, ...)
+{
+  if (!identical(level, 0.95)) {
+    stop("Confidence intervals are only available for a level of 95%")
+  }
+
+  mod_vars <- names(object$mkinmod$diffs)
+
+  pnames <- names(object$mean_dp_start)
+
+  # Confidence intervals are available in the SaemixObject, so
+  # we just need to extract them and put them into a list modelled
+  # after the result of nlme::intervals.lme
+
+  conf.int <- object$so@results@conf.int
+  rownames(conf.int) <- conf.int$name
+  colnames(conf.int)[2] <- "est."
+  confint_trans <- as.matrix(conf.int[pnames, c("lower", "est.", "upper")])
+
+  # Fixed effects
+  # In case objects were produced by earlier versions of saem
+  if (is.null(object$transformations)) object$transformations <- "mkin"
+
+  if (object$transformations == "mkin" & backtransform) {
+    bp <- backtransform_odeparms(confint_trans[, "est."], object$mkinmod,
+      object$transform_rates, object$transform_fractions)
+    bpnames <- names(bp)
+
+    # Transform boundaries of CI for one parameter at a time,
+    # with the exception of sets of formation fractions (single fractions are OK).
+    f_names_skip <- character(0)
+    for (box in mod_vars) { # Figure out sets of fractions to skip
+      f_names <- grep(paste("^f", box, sep = "_"), pnames, value = TRUE)
+      n_paths <- length(f_names)
+      if (n_paths > 1) f_names_skip <- c(f_names_skip, f_names)
+    }
+
+    confint_back <- matrix(NA, nrow = length(bp), ncol = 3,
+      dimnames = list(bpnames, colnames(confint_trans)))
+    confint_back[, "est."] <- bp
+
+    for (pname in pnames) {
+      if (!pname %in% f_names_skip) {
+        par.lower <- confint_trans[pname, "lower"]
+        par.upper <- confint_trans[pname, "upper"]
+        names(par.lower) <- names(par.upper) <- pname
+        bpl <- backtransform_odeparms(par.lower, object$mkinmod,
+                                              object$transform_rates,
+                                              object$transform_fractions)
+        bpu <- backtransform_odeparms(par.upper, object$mkinmod,
+                                              object$transform_rates,
+                                              object$transform_fractions)
+        confint_back[names(bpl), "lower"] <- bpl
+        confint_back[names(bpu), "upper"] <- bpu
+      }
+    }
+    confint_ret <- confint_back
+  } else {
+    confint_ret <- confint_trans
+  }
+  attr(confint_ret, "label") <- "Fixed effects:"
+
+  # Random effects
+  ranef_ret <- as.matrix(conf.int[paste0("SD.", pnames), c("lower", "est.", "upper")])
+  rownames(ranef_ret) <- paste0(gsub("SD\\.", "sd(", rownames(ranef_ret)), ")")
+  attr(ranef_ret, "label") <- "Random effects:"
+
+
+  # Error model
+  enames <- if (object$err_mod == "const") "a.1" else c("a.1", "b.1")
+  err_ret <- as.matrix(conf.int[enames, c("lower", "est.", "upper")])
+
+  res <- list(
+    fixed = confint_ret,
+    random = ranef_ret,
+    errmod = err_ret
+  )
+  class(res) <- c("intervals.saemix.mmkin", "intervals.lme")
+  attr(res, "level") <- level
+  return(res)
+}
+
+#' Confidence intervals for parameters in nlmixr.mmkin objects
+#'
+#' @param object The fitted saem.mmkin object
+#' @param level The confidence level.
+#' @param backtransform Should we backtransform the parameters where a one to
+#'   one correlation between transformed and backtransformed parameters exists?
+#' @importFrom nlme intervals
+#' @return An object with 'intervals.saem.mmkin' and 'intervals.lme' in the
+#'  class attribute
+#' @export
+intervals.nlmixr.mmkin <- function(object, level = 0.95, backtransform = TRUE, ...)
+{
+
+  # Fixed effects
+  mod_vars <- names(object$mkinmod$diffs)
+
+  conf.int <- confint(object$nm)
+  dpnames <- setdiff(rownames(conf.int), names(object$mean_ep_start))
+  ndp <- length(dpnames)
+
+  confint_trans <- as.matrix(conf.int[dpnames, c(3, 1, 4)])
+  colnames(confint_trans) <- c("lower", "est.", "upper")
+
+  if (backtransform) {
+    bp <- backtransform_odeparms(confint_trans[, "est."], object$mkinmod,
+      object$transform_rates, object$transform_fractions)
+    bpnames <- names(bp)
+
+    # Transform boundaries of CI for one parameter at a time,
+    # with the exception of sets of formation fractions (single fractions are OK).
+    f_names_skip <- character(0)
+    for (box in mod_vars) { # Figure out sets of fractions to skip
+      f_names <- grep(paste("^f", box, sep = "_"), dpnames, value = TRUE)
+      n_paths <- length(f_names)
+      if (n_paths > 1) f_names_skip <- c(f_names_skip, f_names)
+    }
+
+    confint_back <- matrix(NA, nrow = length(bp), ncol = 3,
+      dimnames = list(bpnames, colnames(confint_trans)))
+    confint_back[, "est."] <- bp
+
+    for (pname in dpnames) {
+      if (!pname %in% f_names_skip) {
+        par.lower <- confint_trans[pname, "lower"]
+        par.upper <- confint_trans[pname, "upper"]
+        names(par.lower) <- names(par.upper) <- pname
+        bpl <- backtransform_odeparms(par.lower, object$mkinmod,
+                                              object$transform_rates,
+                                              object$transform_fractions)
+        bpu <- backtransform_odeparms(par.upper, object$mkinmod,
+                                              object$transform_rates,
+                                              object$transform_fractions)
+        confint_back[names(bpl), "lower"] <- bpl
+        confint_back[names(bpu), "upper"] <- bpu
+      }
+    }
+    confint_ret <- confint_back
+  } else {
+    confint_ret <- confint_trans
+  }
+  attr(confint_ret, "label") <- "Fixed effects:"
+
+  # Random effects
+  ranef_ret <- as.matrix(data.frame(lower = NA, 
+      "est." = sqrt(diag(object$nm$omega)), upper = NA))
+  rownames(ranef_ret) <- paste0(gsub("eta\\.", "sd(", rownames(ranef_ret)), ")")
+  attr(ranef_ret, "label") <- "Random effects:"
+
+  # Error model
+  enames <- names(object$nm$sigma)
+  err_ret <- as.matrix(conf.int[enames, c(3, 1, 4)])
+  colnames(err_ret) <- c("lower", "est.", "upper")
+
+  res <- list(
+    fixed = confint_ret,
+    random = ranef_ret,
+    errmod = err_ret
+  )
+  class(res) <- c("intervals.nlmixr.mmkin", "intervals.lme")
+  attr(res, "level") <- level
+  return(res)
+}
diff --git a/R/mean_degparms.R b/R/mean_degparms.R
new file mode 100644
index 00000000..ec20c068
--- /dev/null
+++ b/R/mean_degparms.R
@@ -0,0 +1,62 @@
+#' Calculate mean degradation parameters for an mmkin row object
+#'
+#' @return If random is FALSE (default), a named vector containing mean values
+#'   of the fitted degradation model parameters. If random is TRUE, a list with
+#'   fixed and random effects, in the format required by the start argument of
+#'   nlme for the case of a single grouping variable ds.
+#' @param object An mmkin row object containing several fits of the same model to different datasets
+#' @param random Should a list with fixed and random effects be returned?
+#' @param test_log_parms If TRUE, log parameters are only considered in
+#'   the mean calculations if their untransformed counterparts (most likely
+#'   rate constants) pass the t-test for significant difference from zero.
+#' @param conf.level Possibility to adjust the required confidence level
+#'   for parameter that are tested if requested by 'test_log_parms'.
+#' @export
+mean_degparms <- function(object, random = FALSE, test_log_parms = FALSE, conf.level = 0.6)
+{
+  if (nrow(object) > 1) stop("Only row objects allowed")
+  parm_mat_trans <- sapply(object, parms, transformed = TRUE)
+
+  if (test_log_parms) {
+      parm_mat_dim <- dim(parm_mat_trans)
+      parm_mat_dimnames <- dimnames(parm_mat_trans)
+
+      log_parm_trans_names <- grep("^log_", rownames(parm_mat_trans), value = TRUE)
+      log_parm_names <- gsub("^log_", "", log_parm_trans_names)
+
+      t_test_back_OK <- matrix(
+        sapply(object, function(o) {
+          suppressWarnings(summary(o)$bpar[log_parm_names, "Pr(>t)"] < (1 - conf.level))
+        }), nrow = length(log_parm_names))
+      rownames(t_test_back_OK) <- log_parm_trans_names
+
+      parm_mat_trans_OK <- parm_mat_trans
+      for (trans_parm in log_parm_trans_names) {
+        parm_mat_trans_OK[trans_parm, ] <- ifelse(t_test_back_OK[trans_parm, ],
+          parm_mat_trans[trans_parm, ], NA)
+      }
+    } else {
+    parm_mat_trans_OK <- parm_mat_trans
+  }
+
+  mean_degparm_names <- setdiff(rownames(parm_mat_trans), names(object[[1]]$errparms))
+  degparm_mat_trans <- parm_mat_trans[mean_degparm_names, , drop = FALSE]
+  degparm_mat_trans_OK <- parm_mat_trans_OK[mean_degparm_names, , drop = FALSE]
+
+  fixed <- apply(degparm_mat_trans_OK, 1, mean, na.rm = TRUE)
+  if (random) {
+    random <- t(apply(degparm_mat_trans[mean_degparm_names, , drop = FALSE], 2, function(column) column - fixed))
+    # If we only have one parameter, apply returns a vector so we get a single row
+    if (nrow(degparm_mat_trans) == 1) random <- t(random)
+    rownames(random) <- levels(nlme_data(object)$ds)
+
+    # For nlmixr we can specify starting values for standard deviations eta, and
+    # we ignore uncertain parameters if test_log_parms is FALSE
+    eta <- apply(degparm_mat_trans_OK, 1, stats::sd, na.rm = TRUE)
+
+    return(list(fixed = fixed, random = list(ds = random), eta = eta))
+  } else {
+    return(fixed)
+  }
+}
+
diff --git a/R/mixed.mmkin.R b/R/mixed.mmkin.R
index 7aa5edd5..682a9a34 100644
--- a/R/mixed.mmkin.R
+++ b/R/mixed.mmkin.R
@@ -3,6 +3,8 @@
 #' @param object An [mmkin] row object
 #' @param method The method to be used
 #' @param \dots Currently not used
+#' @return An object of class 'mixed.mmkin' which has the observed data in a
+#'   single dataframe which is convenient for plotting
 #' @examples
 #' sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
 #' n_biphasic <- 8
@@ -54,7 +56,6 @@ mixed.mmkin <- function(object, method = c("none"), ...) {
   if (nrow(object) > 1) stop("Only row objects allowed")
 
   method <- match.arg(method)
-  if (method == "default") method = c("naive", "nlme")
 
   ds_names <- colnames(object)
   res <- list(mmkin = object, mkinmod = object[[1]]$mkinmod)
diff --git a/R/mkinsub.R b/R/mkinsub.R
index 886f712c..93af3f16 100644
--- a/R/mkinsub.R
+++ b/R/mkinsub.R
@@ -1,8 +1,3 @@
-#' Function to set up a kinetic submodel for one state variable
-#' 
-#' This is a convenience function to set up the lists used as arguments for
-#' \code{\link{mkinmod}}.
-#' 
 #' @rdname mkinmod
 #' @param submodel Character vector of length one to specify the submodel type.
 #'   See \code{\link{mkinmod}} for the list of allowed submodel names.
diff --git a/R/nlme.R b/R/nlme.R
index 9215aab0..8762f137 100644
--- a/R/nlme.R
+++ b/R/nlme.R
@@ -36,7 +36,7 @@
 #' nlme_f <- nlme_function(f)
 #' # These assignments are necessary for these objects to be
 #' # visible to nlme and augPred when evaluation is done by
-#' # pkgdown to generated the html docs.
+#' # pkgdown to generate the html docs.
 #' assign("nlme_f", nlme_f, globalenv())
 #' assign("grouped_data", grouped_data, globalenv())
 #'
@@ -125,30 +125,6 @@ nlme_function <- function(object) {
 }
 
 #' @rdname nlme
-#' @return If random is FALSE (default), a named vector containing mean values
-#'   of the fitted degradation model parameters. If random is TRUE, a list with
-#'   fixed and random effects, in the format required by the start argument of
-#'   nlme for the case of a single grouping variable ds.
-#' @param random Should a list with fixed and random effects be returned?
-#' @export
-mean_degparms <- function(object, random = FALSE) {
-  if (nrow(object) > 1) stop("Only row objects allowed")
-  parm_mat_trans <- sapply(object, parms, transformed = TRUE)
-  mean_degparm_names <- setdiff(rownames(parm_mat_trans), names(object[[1]]$errparms))
-  degparm_mat_trans <- parm_mat_trans[mean_degparm_names, , drop = FALSE]
-  fixed <- apply(degparm_mat_trans, 1, mean)
-  if (random) {
-    random <- t(apply(degparm_mat_trans[mean_degparm_names, , drop = FALSE], 2, function(column) column - fixed))
-    # If we only have one parameter, apply returns a vector so we get a single row
-    if (nrow(degparm_mat_trans) == 1) random <- t(random)
-    rownames(random) <- levels(nlme_data(object)$ds)
-    return(list(fixed = fixed, random = list(ds = random)))
-  } else {
-    return(fixed)
-  }
-}
-
-#' @rdname nlme
 #' @importFrom purrr map_dfr
 #' @return A \code{\link{groupedData}} object
 #' @export
diff --git a/R/nlme.mmkin.R b/R/nlme.mmkin.R
index ff1f2fff..7049a9a1 100644
--- a/R/nlme.mmkin.R
+++ b/R/nlme.mmkin.R
@@ -24,7 +24,7 @@ get_deg_func <- function() {
 #' This functions sets up a nonlinear mixed effects model for an mmkin row
 #' object. An mmkin row object is essentially a list of mkinfit objects that
 #' have been obtained by fitting the same model to a list of datasets.
-#' 
+#'
 #' Note that the convergence of the nlme algorithms depends on the quality
 #' of the data. In degradation kinetics, we often only have few datasets
 #' (e.g. data for few soils) and complicated degradation models, which may
@@ -34,10 +34,9 @@ get_deg_func <- function() {
 #' @param data Ignored, data are taken from the mmkin model
 #' @param fixed Ignored, all degradation parameters fitted in the
 #'   mmkin model are used as fixed parameters
-#' @param random If not specified, correlated random effects are set up
-#'   for all optimised degradation model parameters using the log-Cholesky
-#'   parameterization [nlme::pdLogChol] that is also the default of
-#'   the generic [nlme] method.
+#' @param random If not specified, no correlations between random effects are
+#'   set up for the optimised degradation model parameters. This is
+#'   achieved by using the [nlme::pdDiag] method.
 #' @param groups See the documentation of nlme
 #' @param start If not specified, mean values of the fitted degradation
 #'   parameters taken from the mmkin object are used
@@ -135,7 +134,7 @@ nlme.mmkin <- function(model, data = "auto",
     function(el) eval(parse(text = paste(el, 1, sep = "~")))),
   random = pdDiag(fixed),
   groups,
-  start = mean_degparms(model, random = TRUE),
+  start = mean_degparms(model, random = TRUE, test_log_parms = TRUE),
   correlation = NULL, weights = NULL,
   subset, method = c("ML", "REML"),
   na.action = na.fail, naPattern,
diff --git a/R/nlmixr.R b/R/nlmixr.R
new file mode 100644
index 00000000..fd12f555
--- /dev/null
+++ b/R/nlmixr.R
@@ -0,0 +1,557 @@
+utils::globalVariables(c("predicted", "std", "ID", "TIME", "CMT", "DV", "IPRED", "IRES", "IWRES"))
+
+#' @export
+nlmixr::nlmixr
+
+#' Fit nonlinear mixed models using nlmixr
+#'
+#' This function uses [nlmixr::nlmixr()] as a backend for fitting nonlinear mixed
+#' effects models created from [mmkin] row objects using the Stochastic Approximation
+#' Expectation Maximisation algorithm (SAEM) or First Order Conditional
+#' Estimation with Interaction (FOCEI).
+#'
+#' An mmkin row object is essentially a list of mkinfit objects that have been
+#' obtained by fitting the same model to a list of datasets using [mkinfit].
+#'
+#' @importFrom nlmixr nlmixr tableControl
+#' @importFrom dplyr %>%
+#' @param object An [mmkin] row object containing several fits of the same
+#'   [mkinmod] model to different datasets
+#' @param data Not used, the data are extracted from the mmkin row object
+#' @param est Estimation method passed to [nlmixr::nlmixr]
+#' @param degparms_start Parameter values given as a named numeric vector will
+#'   be used to override the starting values obtained from the 'mmkin' object.
+#' @param eta_start Standard deviations on the transformed scale given as a
+#'   named numeric vector will be used to override the starting values obtained
+#'   from the 'mmkin' object.
+#' @param test_log_parms If TRUE, an attempt is made to use more robust starting
+#'   values for population parameters fitted as log parameters in mkin (like
+#'   rate constants) by only considering rate constants that pass the t-test
+#'   when calculating mean degradation parameters using [mean_degparms].
+#' @param conf.level Possibility to adjust the required confidence level
+#'   for parameter that are tested if requested by 'test_log_parms'.
+#' @param data Not used, as the data are extracted from the mmkin row object
+#' @param table Passed to [nlmixr::nlmixr]
+#' @param error_model Optional argument to override the error model which is
+#'   being set based on the error model used in the mmkin row object.
+#' @param control Passed to [nlmixr::nlmixr]
+#' @param \dots Passed to [nlmixr_model]
+#' @param save Passed to [nlmixr::nlmixr]
+#' @param envir Passed to [nlmixr::nlmixr]
+#' @return An S3 object of class 'nlmixr.mmkin', containing the fitted
+#'   [nlmixr::nlmixr] object as a list component named 'nm'. The
+#'   object also inherits from 'mixed.mmkin'.
+#' @seealso [summary.nlmixr.mmkin] [plot.mixed.mmkin]
+#' @examples
+#' \dontrun{
+#' ds <- lapply(experimental_data_for_UBA_2019[6:10],
+#'  function(x) subset(x$data[c("name", "time", "value")]))
+#' names(ds) <- paste("Dataset", 6:10)
+#'
+#' f_mmkin_parent <- mmkin(c("SFO", "FOMC", "DFOP", "HS"), ds, quiet = TRUE, cores = 1)
+#' f_mmkin_parent_tc <- mmkin(c("SFO", "FOMC", "DFOP"), ds, error_model = "tc",
+#'   cores = 1, quiet = TRUE)
+#'
+#' library(nlmixr)
+#' f_nlmixr_sfo_saem <- nlmixr(f_mmkin_parent["SFO", ], est = "saem",
+#'   control = saemControl(print = 0))
+#' f_nlmixr_sfo_focei <- nlmixr(f_mmkin_parent["SFO", ], est = "focei",
+#'   control = foceiControl(print = 0))
+#'
+#' f_nlmixr_fomc_saem <- nlmixr(f_mmkin_parent["FOMC", ], est = "saem",
+#'   control = saemControl(print = 0))
+#' f_nlmixr_fomc_focei <- nlmixr(f_mmkin_parent["FOMC", ], est = "focei",
+#'   control = foceiControl(print = 0))
+#'
+#' f_nlmixr_dfop_saem <- nlmixr(f_mmkin_parent["DFOP", ], est = "saem",
+#'   control = saemControl(print = 0))
+#' f_nlmixr_dfop_focei <- nlmixr(f_mmkin_parent["DFOP", ], est = "focei",
+#'   control = foceiControl(print = 0))
+#'
+#' f_nlmixr_hs_saem <- nlmixr(f_mmkin_parent["HS", ], est = "saem",
+#'   control = saemControl(print = 0))
+#' f_nlmixr_hs_focei <- nlmixr(f_mmkin_parent["HS", ], est = "focei",
+#'   control = foceiControl(print = 0))
+#'
+#' f_nlmixr_fomc_saem_tc <- nlmixr(f_mmkin_parent_tc["FOMC", ], est = "saem",
+#'   control = saemControl(print = 0))
+#' f_nlmixr_fomc_focei_tc <- nlmixr(f_mmkin_parent_tc["FOMC", ], est = "focei",
+#'   control = foceiControl(print = 0))
+#'
+#' AIC(
+#'   f_nlmixr_sfo_saem$nm, f_nlmixr_sfo_focei$nm,
+#'   f_nlmixr_fomc_saem$nm, f_nlmixr_fomc_focei$nm,
+#'   f_nlmixr_dfop_saem$nm, f_nlmixr_dfop_focei$nm,
+#'   f_nlmixr_hs_saem$nm, f_nlmixr_hs_focei$nm,
+#'   f_nlmixr_fomc_saem_tc$nm, f_nlmixr_fomc_focei_tc$nm)
+#'
+#' AIC(nlme(f_mmkin_parent["FOMC", ]))
+#' AIC(nlme(f_mmkin_parent["HS", ]))
+#'
+#' # The FOCEI fit of FOMC with constant variance or the tc error model is best
+#' plot(f_nlmixr_fomc_saem_tc)
+#'
+#' sfo_sfo <- mkinmod(parent = mkinsub("SFO", "A1"),
+#'   A1 = mkinsub("SFO"), quiet = TRUE)
+#' fomc_sfo <- mkinmod(parent = mkinsub("FOMC", "A1"),
+#'   A1 = mkinsub("SFO"), quiet = TRUE)
+#' dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "A1"),
+#'   A1 = mkinsub("SFO"), quiet = TRUE)
+#'
+#' f_mmkin_const <- mmkin(list(
+#'     "SFO-SFO" = sfo_sfo, "FOMC-SFO" = fomc_sfo, "DFOP-SFO" = dfop_sfo),
+#'   ds, quiet = TRUE, error_model = "const")
+#' f_mmkin_obs <- mmkin(list(
+#'     "SFO-SFO" = sfo_sfo, "FOMC-SFO" = fomc_sfo, "DFOP-SFO" = dfop_sfo),
+#'   ds, quiet = TRUE, error_model = "obs")
+#' f_mmkin_tc <- mmkin(list(
+#'     "SFO-SFO" = sfo_sfo, "FOMC-SFO" = fomc_sfo, "DFOP-SFO" = dfop_sfo),
+#'   ds, quiet = TRUE, error_model = "tc")
+#'
+#' nlmixr_model(f_mmkin_const["SFO-SFO", ])
+#'
+#' # A single constant variance is currently only possible with est = 'focei' in nlmixr
+#' f_nlmixr_sfo_sfo_focei_const <- nlmixr(f_mmkin_const["SFO-SFO", ], est = "focei")
+#' f_nlmixr_fomc_sfo_focei_const <- nlmixr(f_mmkin_const["FOMC-SFO", ], est = "focei")
+#' f_nlmixr_dfop_sfo_focei_const <- nlmixr(f_mmkin_const["DFOP-SFO", ], est = "focei")
+#'
+#' # Variance by variable is supported by 'saem' and 'focei'
+#' f_nlmixr_fomc_sfo_saem_obs <- nlmixr(f_mmkin_obs["FOMC-SFO", ], est = "saem")
+#' f_nlmixr_fomc_sfo_focei_obs <- nlmixr(f_mmkin_obs["FOMC-SFO", ], est = "focei")
+#' f_nlmixr_dfop_sfo_saem_obs <- nlmixr(f_mmkin_obs["DFOP-SFO", ], est = "saem")
+#' f_nlmixr_dfop_sfo_focei_obs <- nlmixr(f_mmkin_obs["DFOP-SFO", ], est = "focei")
+#'
+#' # Identical two-component error for all variables is only possible with
+#' # est = 'focei' in nlmixr
+#' f_nlmixr_fomc_sfo_focei_tc <- nlmixr(f_mmkin_tc["FOMC-SFO", ], est = "focei")
+#' f_nlmixr_dfop_sfo_focei_tc <- nlmixr(f_mmkin_tc["DFOP-SFO", ], est = "focei")
+#'
+#' # Two-component error by variable is possible with both estimation methods
+#' # Variance by variable is supported by 'saem' and 'focei'
+#' f_nlmixr_fomc_sfo_saem_obs_tc <- nlmixr(f_mmkin_tc["FOMC-SFO", ], est = "saem",
+#'   error_model = "obs_tc")
+#' f_nlmixr_fomc_sfo_focei_obs_tc <- nlmixr(f_mmkin_tc["FOMC-SFO", ], est = "focei",
+#'   error_model = "obs_tc")
+#' f_nlmixr_dfop_sfo_saem_obs_tc <- nlmixr(f_mmkin_tc["DFOP-SFO", ], est = "saem",
+#'   error_model = "obs_tc")
+#' f_nlmixr_dfop_sfo_focei_obs_tc <- nlmixr(f_mmkin_tc["DFOP-SFO", ], est = "focei",
+#'   error_model = "obs_tc")
+#'
+#' AIC(
+#'   f_nlmixr_sfo_sfo_focei_const$nm,
+#'   f_nlmixr_fomc_sfo_focei_const$nm,
+#'   f_nlmixr_dfop_sfo_focei_const$nm,
+#'   f_nlmixr_fomc_sfo_saem_obs$nm,
+#'   f_nlmixr_fomc_sfo_focei_obs$nm,
+#'   f_nlmixr_dfop_sfo_saem_obs$nm,
+#'   f_nlmixr_dfop_sfo_focei_obs$nm,
+#'   f_nlmixr_fomc_sfo_focei_tc$nm,
+#'   f_nlmixr_dfop_sfo_focei_tc$nm,
+#'   f_nlmixr_fomc_sfo_saem_obs_tc$nm,
+#'   f_nlmixr_fomc_sfo_focei_obs_tc$nm,
+#'   f_nlmixr_dfop_sfo_saem_obs_tc$nm,
+#'   f_nlmixr_dfop_sfo_focei_obs_tc$nm
+#' )
+#' # Currently, FOMC-SFO with two-component error by variable fitted by focei gives the
+#' # lowest AIC
+#' plot(f_nlmixr_fomc_sfo_focei_obs_tc)
+#' summary(f_nlmixr_fomc_sfo_focei_obs_tc)
+#' }
+#' @export
+nlmixr.mmkin <- function(object, data = NULL,
+  est = NULL, control = list(),
+  table = tableControl(),
+  error_model = object[[1]]$err_mod,
+  test_log_parms = TRUE,
+  conf.level = 0.6,
+  degparms_start = "auto",
+  eta_start = "auto",
+  ...,
+  save = NULL,
+  envir = parent.frame()
+)
+{
+  m_nlmixr <- nlmixr_model(object, est = est,
+    error_model = error_model, add_attributes = TRUE,
+    test_log_parms = test_log_parms, conf.level = conf.level,
+    degparms_start = degparms_start, eta_start = eta_start
+  )
+  d_nlmixr <- nlmixr_data(object)
+
+  mean_dp_start <- attr(m_nlmixr, "mean_dp_start")
+  mean_ep_start <- attr(m_nlmixr, "mean_ep_start")
+
+  attributes(m_nlmixr) <- NULL
+
+  fit_time <- system.time({
+    f_nlmixr <- nlmixr(m_nlmixr, d_nlmixr, est = est, control = control)
+  })
+
+  if (is.null(f_nlmixr$CMT)) {
+    nlmixr_df <- as.data.frame(f_nlmixr[c("ID", "TIME", "DV", "IPRED", "IRES", "IWRES")])
+    nlmixr_df$CMT <- as.character(object[[1]]$data$variable[1])
+  } else {
+    nlmixr_df <- as.data.frame(f_nlmixr[c("ID", "TIME", "DV", "CMT", "IPRED", "IRES", "IWRES")])
+  }
+
+  return_data <- nlmixr_df %>%
+    dplyr::transmute(ds = ID, name = CMT, time = TIME, value = DV,
+      predicted = IPRED, residual = IRES,
+      std = IRES/IWRES, standardized = IWRES) %>%
+    dplyr::arrange(ds, name, time)
+
+  bparms_optim <- backtransform_odeparms(f_nlmixr$theta,
+    object[[1]]$mkinmod,
+    object[[1]]$transform_rates,
+    object[[1]]$transform_fractions)
+
+  result <- list(
+    mkinmod = object[[1]]$mkinmod,
+    mmkin = object,
+    transform_rates = object[[1]]$transform_rates,
+    transform_fractions = object[[1]]$transform_fractions,
+    nm = f_nlmixr,
+    est = est,
+    time = fit_time,
+    mean_dp_start = mean_dp_start,
+    mean_ep_start = mean_ep_start,
+    bparms.optim = bparms_optim,
+    bparms.fixed = object[[1]]$bparms.fixed,
+    data = return_data,
+    err_mod = error_model,
+    date.fit = date(),
+    nlmixrversion = as.character(utils::packageVersion("nlmixr")),
+    mkinversion = as.character(utils::packageVersion("mkin")),
+    Rversion = paste(R.version$major, R.version$minor, sep=".")
+  )
+
+  class(result) <- c("nlmixr.mmkin", "mixed.mmkin")
+  return(result)
+}
+
+#' @export
+#' @rdname nlmixr.mmkin
+#' @param x An nlmixr.mmkin object to print
+#' @param digits Number of digits to use for printing
+print.nlmixr.mmkin <- function(x, digits = max(3, getOption("digits") - 3), ...) {
+  cat("Kinetic nonlinear mixed-effects model fit by", x$est, "using nlmixr")
+  cat("\nStructural model:\n")
+  diffs <- x$mmkin[[1]]$mkinmod$diffs
+  nice_diffs <- gsub("^(d.*) =", "\\1/dt =", diffs)
+  writeLines(strwrap(nice_diffs, exdent = 11))
+  cat("\nData:\n")
+  cat(nrow(x$data), "observations of",
+    length(unique(x$data$name)), "variable(s) grouped in",
+    length(unique(x$data$ds)), "datasets\n")
+
+  cat("\nLikelihood:\n")
+  print(data.frame(
+      AIC = AIC(x$nm),
+      BIC = BIC(x$nm),
+      logLik = logLik(x$nm),
+      row.names = " "), digits = digits)
+
+  cat("\nFitted parameters:\n")
+  print(x$nm$parFixed, digits = digits)
+
+  invisible(x)
+}
+
+#' @rdname nlmixr.mmkin
+#' @param add_attributes Should the starting values used for degradation model
+#'   parameters and their distribution and for the error model parameters
+#'   be returned as attributes?
+#' @return An function defining a model suitable for fitting with [nlmixr::nlmixr].
+#' @export
+nlmixr_model <- function(object,
+  est = c("saem", "focei"),
+  degparms_start = "auto",
+  eta_start = "auto",
+  test_log_parms = TRUE, conf.level = 0.6,
+  error_model = object[[1]]$err_mod, add_attributes = FALSE)
+{
+  if (nrow(object) > 1) stop("Only row objects allowed")
+  est = match.arg(est)
+
+  mkin_model <- object[[1]]$mkinmod
+  obs_vars <- names(mkin_model$spec)
+
+  if (error_model == object[[1]]$err_mod) {
+
+    if (length(object[[1]]$mkinmod$spec) > 1 & est == "saem") {
+      if (error_model == "const") {
+        message(
+          "Constant variance for more than one variable is not supported for est = 'saem'\n",
+          "Changing the error model to 'obs' (variance by observed variable)")
+        error_model <- "obs"
+      }
+      if (error_model =="tc") {
+        message(
+          "With est = 'saem', a different error model is required for each observed variable",
+          "Changing the error model to 'obs_tc' (Two-component error for each observed variable)")
+        error_model <- "obs_tc"
+      }
+    }
+  }
+
+  degparms_mmkin <- mean_degparms(object,
+    test_log_parms = test_log_parms,
+    conf.level = conf.level, random = TRUE)
+
+  degparms_optim <- degparms_mmkin$fixed
+
+  degparms_optim_ilr_names <- grep("^f_.*_ilr", names(degparms_optim), value = TRUE)
+  obs_vars_ilr <- unique(gsub("f_(.*)_ilr.*$", "\\1", degparms_optim_ilr_names))
+  degparms_optim_noilr <- degparms_optim[setdiff(names(degparms_optim),
+    degparms_optim_ilr_names)]
+
+  degparms_optim_back <- backtransform_odeparms(degparms_optim,
+      object[[1]]$mkinmod,
+      object[[1]]$transform_rates,
+      object[[1]]$transform_fractions)
+
+  if (degparms_start[1] == "auto") {
+    degparms_start <- degparms_optim_noilr
+    for (obs_var_ilr in obs_vars_ilr) {
+      ff_names <- grep(paste0("^f_", obs_var_ilr, "_"),
+        names(degparms_optim_back), value = TRUE)
+      f_tffm0 <- tffm0(degparms_optim_back[ff_names])
+      f_tffm0_qlogis <- qlogis(f_tffm0)
+      names(f_tffm0_qlogis) <- paste0("f_", obs_var_ilr,
+        "_tffm0_", 1:length(f_tffm0), "_qlogis")
+      degparms_start <- c(degparms_start, f_tffm0_qlogis)
+    }
+  }
+
+  if (eta_start[1] == "auto") {
+    eta_start <- degparms_mmkin$eta[setdiff(names(degparms_optim),
+      degparms_optim_ilr_names)]
+    for (obs_var_ilr in obs_vars_ilr) {
+      ff_n <- length(grep(paste0("^f_", obs_var_ilr, "_"),
+        names(degparms_optim_back), value = TRUE))
+      eta_start_ff <- rep(0.3, ff_n)
+      names(eta_start_ff) <- paste0("f_", obs_var_ilr,
+        "_tffm0_", 1:ff_n, "_qlogis")
+      eta_start <- c(eta_start, eta_start_ff)
+    }
+  }
+
+
+  degparms_fixed <- object[[1]]$bparms.fixed
+
+  odeini_optim_parm_names <- grep('_0$', names(degparms_optim), value = TRUE)
+  odeini_fixed_parm_names <- grep('_0$', names(degparms_fixed), value = TRUE)
+
+  odeparms_fixed_names <- setdiff(names(degparms_fixed), odeini_fixed_parm_names)
+  odeparms_fixed <- degparms_fixed[odeparms_fixed_names]
+
+  odeini_fixed <- degparms_fixed[odeini_fixed_parm_names]
+  names(odeini_fixed) <- gsub('_0$', '', odeini_fixed_parm_names)
+
+  # Definition of the model function
+  f <- function(){}
+
+  ini_block <- "ini({"
+
+  # Initial values for all degradation parameters
+  for (parm_name in names(degparms_start)) {
+    # As initials for state variables are not transformed,
+    # we need to modify the name here as we want to
+    # use the original name in the model block
+    ini_block <- paste0(
+      ini_block,
+      parm_name, " = ",
+      as.character(signif(degparms_start[parm_name], 2)),
+      "\n",
+      "eta.", parm_name, " ~ ",
+      as.character(signif(eta_start[parm_name], 2)),
+      "\n"
+    )
+  }
+
+  # Error model parameters
+  error_model_mkin <- object[[1]]$err_mod
+
+  errparm_names_mkin <- names(object[[1]]$errparms)
+  errparms_mkin <- sapply(errparm_names_mkin, function(parm_name) {
+    mean(sapply(object, function(x) x$errparms[parm_name]))
+  })
+
+  sigma_tc_mkin <- errparms_ini <- errparms_mkin[1] +
+    mean(unlist(sapply(object, function(x) x$data$observed)), na.rm = TRUE) *
+      errparms_mkin[2]
+
+  if (error_model == "const") {
+    if (error_model_mkin == "tc") {
+      errparms_ini <- sigma_tc_mkin
+    } else {
+      errparms_ini <- mean(errparms_mkin)
+    }
+    names(errparms_ini) <- "sigma"
+  }
+
+  if (error_model == "obs") {
+    errparms_ini <- switch(error_model_mkin,
+      const = rep(errparms_mkin["sigma"], length(obs_vars)),
+      obs = errparms_mkin,
+      tc = sigma_tc_mkin)
+    names(errparms_ini) <- paste0("sigma_", obs_vars)
+  }
+
+  if (error_model == "tc") {
+    if (error_model_mkin != "tc") {
+      stop("Not supported")
+    } else {
+      errparms_ini <- errparms_mkin
+    }
+  }
+
+  if (error_model == "obs_tc") {
+    if (error_model_mkin != "tc") {
+      stop("Not supported")
+    } else {
+      errparms_ini <- rep(errparms_mkin, length(obs_vars))
+      names(errparms_ini) <- paste0(
+        rep(names(errparms_mkin), length(obs_vars)),
+        "_",
+        rep(obs_vars, each = 2))
+    }
+  }
+
+  for (parm_name in names(errparms_ini)) {
+    ini_block <- paste0(
+      ini_block,
+      parm_name, " = ",
+      as.character(signif(errparms_ini[parm_name], 2)),
+      "\n"
+    )
+  }
+
+  ini_block <- paste0(ini_block, "})")
+
+  body(f)[2] <- parse(text = ini_block)
+
+  model_block <- "model({"
+
+  # Population initial values for the ODE state variables
+  for (parm_name in odeini_optim_parm_names) {
+    model_block <- paste0(
+      model_block,
+      parm_name, "_model = ",
+      parm_name, " + eta.", parm_name, "\n",
+      gsub("(.*)_0", "\\1(0)", parm_name), " = ", parm_name, "_model\n")
+  }
+
+  # Population initial values for log rate constants
+  for (parm_name in grep("^log_", names(degparms_start), value = TRUE)) {
+    model_block <- paste0(
+      model_block,
+      gsub("^log_", "", parm_name), " = ",
+      "exp(", parm_name, " + eta.", parm_name, ")\n")
+  }
+
+  # Population initial values for logit transformed parameters
+  for (parm_name in grep("_qlogis$", names(degparms_start), value = TRUE)) {
+    parm_name_new <- names(
+      backtransform_odeparms(degparms_start[parm_name],
+        object[[1]]$mkinmod,
+        object[[1]]$transform_rates,
+        object[[1]]$transform_fractions))
+    model_block <- paste0(
+      model_block,
+      parm_name_new, " = ",
+      "expit(", parm_name, " + eta.", parm_name, ")\n")
+  }
+
+  # Calculate formation fractions from tffm0 transformed values
+  for (obs_var_ilr in obs_vars_ilr) {
+    ff_names <- grep(paste0("^f_", obs_var_ilr, "_"),
+      names(degparms_optim_back), value = TRUE)
+    pattern <- paste0("^f_", obs_var_ilr, "_to_(.*)$")
+    target_vars <- gsub(pattern, "\\1",
+      grep(paste0("^f_", obs_var_ilr, "_to_"), names(degparms_optim_back), value = TRUE))
+    for (i in 1:length(target_vars)) {
+      ff_name <- ff_names[i]
+      ff_line <- paste0(ff_name, " = f_", obs_var_ilr, "_tffm0_", i)
+      if (i > 1) {
+        for (j in (i - 1):1) {
+          ff_line <- paste0(ff_line, " * (1 - f_", obs_var_ilr, "_tffm0_", j , ")")
+        }
+      }
+      model_block <- paste0(
+        model_block,
+        ff_line,
+        "\n"
+      )
+    }
+  }
+
+  # Differential equations
+  model_block <- paste0(
+    model_block,
+    paste(
+      gsub("d_(.*) =", "d/dt(\\1) =", mkin_model$diffs),
+      collapse = "\n"),
+    "\n"
+  )
+
+  # Error model
+  if (error_model == "const") {
+    model_block <- paste0(model_block,
+    paste(paste0(obs_vars, " ~ add(sigma)"), collapse = "\n"))
+  }
+  if (error_model == "obs") {
+    model_block <- paste0(model_block,
+    paste(paste0(obs_vars, " ~ add(sigma_", obs_vars, ")"), collapse = "\n"),
+    "\n")
+  }
+  if (error_model == "tc") {
+    model_block <- paste0(model_block,
+    paste(paste0(obs_vars, " ~ add(sigma_low) + prop(rsd_high)"), collapse = "\n"),
+      "\n")
+  }
+  if (error_model == "obs_tc") {
+    model_block <- paste0(model_block,
+    paste(
+      paste0(obs_vars, " ~ add(sigma_low_", obs_vars, ") + ",
+        "prop(rsd_high_", obs_vars, ")"), collapse = "\n"),
+      "\n")
+  }
+
+  model_block <- paste0(model_block, "})")
+
+  body(f)[3] <- parse(text = model_block)
+
+  if (add_attributes) {
+    attr(f, "mean_dp_start") <- degparms_optim
+    attr(f, "eta_start") <- degparms_mmkin$eta
+    attr(f, "mean_ep_start") <- errparms_ini
+  }
+
+  return(f)
+}
+
+#' @rdname nlmixr.mmkin
+#' @return An dataframe suitable for use with [nlmixr::nlmixr]
+#' @export
+nlmixr_data <- function(object, ...) {
+  if (nrow(object) > 1) stop("Only row objects allowed")
+  d <- lapply(object, function(x) x$data)
+  compartment_map <- 1:length(object[[1]]$mkinmod$spec)
+  names(compartment_map) <- names(object[[1]]$mkinmod$spec)
+  ds_names <- colnames(object)
+
+  ds_list <- lapply(object, function(x) x$data[c("time", "variable", "observed")])
+  names(ds_list) <- ds_names
+  ds_nlmixr <- purrr::map_dfr(ds_list, function(x) x, .id = "ds")
+  ds_nlmixr$variable <- as.character(ds_nlmixr$variable)
+  ds_nlmixr_renamed <- data.frame(
+    ID = ds_nlmixr$ds,
+    TIME = ds_nlmixr$time,
+    AMT = 0, EVID = 0,
+    CMT = ds_nlmixr$variable,
+    DV = ds_nlmixr$observed,
+    stringsAsFactors = FALSE)
+
+  return(ds_nlmixr_renamed)
+}
diff --git a/R/plot.mixed.mmkin.R b/R/plot.mixed.mmkin.R
index 4c1f1531..1ac62b07 100644
--- a/R/plot.mixed.mmkin.R
+++ b/R/plot.mixed.mmkin.R
@@ -2,7 +2,7 @@ utils::globalVariables("ds")
 
 #' Plot predictions from a fitted nonlinear mixed model obtained via an mmkin row object
 #'
-#' @param x An object of class [mixed.mmkin], [nlme.mmkin]
+#' @param x An object of class [mixed.mmkin], [saem.mmkin] or [nlme.mmkin]
 #' @param i A numeric index to select datasets for which to plot the individual predictions,
 #'   in case plots get too large
 #' @inheritParams plot.mkinfit
@@ -10,6 +10,10 @@ utils::globalVariables("ds")
 #'   `resplot = "time"`.
 #' @param pred_over Named list of alternative predictions as obtained
 #'   from [mkinpredict] with a compatible [mkinmod].
+#' @param test_log_parms Passed to [mean_degparms] in the case of an
+#'   [mixed.mmkin] object
+#' @param conf.level Passed to [mean_degparms] in the case of an
+#'   [mixed.mmkin] object
 #' @param rel.height.legend The relative height of the legend shown on top
 #' @param rel.height.bottom The relative height of the bottom plot row
 #' @param ymax Vector of maximum y axis values
@@ -36,9 +40,23 @@ utils::globalVariables("ds")
 #'
 #' # For this fit we need to increase pnlsMaxiter, and we increase the
 #' # tolerance in order to speed up the fit for this example evaluation
+#' # It still takes 20 seconds to run
 #' f_nlme <- nlme(f, control = list(pnlsMaxIter = 120, tolerance = 1e-3))
 #' plot(f_nlme)
 #'
+#' f_saem <- saem(f, transformations = "saemix")
+#' plot(f_saem)
+#'
+#' f_obs <- mmkin(list("DFOP-SFO" = dfop_sfo), ds, quiet = TRUE, error_model = "obs")
+#' f_nlmix <- nlmix(f_obs)
+#' plot(f_nlmix)
+#'
+#' # We can overlay the two variants if we generate predictions
+#' pred_nlme <- mkinpredict(dfop_sfo,
+#'   f_nlme$bparms.optim[-1],
+#'   c(parent = f_nlme$bparms.optim[[1]], A1 = 0),
+#'   seq(0, 180, by = 0.2))
+#' plot(f_saem, pred_over = list(nlme = pred_nlme))
 #' }
 #' @export
 plot.mixed.mmkin <- function(x,
@@ -49,6 +67,8 @@ plot.mixed.mmkin <- function(x,
   xlim = range(x$data$time),
   resplot = c("predicted", "time"),
   pred_over = NULL,
+  test_log_parms = FALSE,
+  conf.level = 0.6,
   ymax = "auto", maxabs = "auto",
   ncol.legend = ifelse(length(i) <= 3, length(i) + 1, ifelse(length(i) <= 8, 3, 4)),
   nrow.legend = ceiling((length(i) + 1) / ncol.legend),
@@ -67,7 +87,7 @@ plot.mixed.mmkin <- function(x,
   backtransform = TRUE
 
   if (identical(class(x), "mixed.mmkin")) {
-    degparms_pop <- mean_degparms(x$mmkin)
+    degparms_pop <- mean_degparms(x$mmkin, test_log_parms = test_log_parms, conf.level = conf.level)
 
     degparms_tmp <- parms(x$mmkin, transformed = TRUE)
     degparms_i <- as.data.frame(t(degparms_tmp[setdiff(rownames(degparms_tmp), names(fit_1$errparms)), ]))
@@ -82,6 +102,30 @@ plot.mixed.mmkin <- function(x,
       type = ifelse(standardized, "pearson", "response"))
   }
 
+  if (inherits(x, "saem.mmkin")) {
+    if (x$transformations == "saemix") backtransform = FALSE
+    degparms_i <- saemix::psi(x$so)
+    rownames(degparms_i) <- ds_names
+    degparms_i_names <- setdiff(x$so@results@name.fixed, names(fit_1$errparms))
+    colnames(degparms_i) <- degparms_i_names
+    residual_type = ifelse(standardized, "standardized", "residual")
+    residuals <- x$data[[residual_type]]
+    degparms_pop <- x$so@results@fixed.effects
+    names(degparms_pop) <- degparms_i_names
+  }
+
+  if (inherits(x, "nlmixr.mmkin")) {
+    eta_i <- random.effects(x$nm)[-1]
+    names(eta_i) <- gsub("^eta.", "", names(eta_i))
+    degparms_i <- eta_i
+    degparms_pop <- x$nm$theta
+    for (parm_name in names(degparms_i)) {
+      degparms_i[parm_name] <- eta_i[parm_name] + degparms_pop[parm_name]
+    }
+    residual_type = ifelse(standardized, "standardized", "residual")
+    residuals <- x$data[[residual_type]]
+  }
+
   degparms_fixed <- fit_1$fixed$value
   names(degparms_fixed) <- rownames(fit_1$fixed)
   degparms_all <- cbind(as.matrix(degparms_i),
diff --git a/R/saem.R b/R/saem.R
new file mode 100644
index 00000000..2c20f788
--- /dev/null
+++ b/R/saem.R
@@ -0,0 +1,542 @@
+utils::globalVariables(c("predicted", "std"))
+
+#' Fit nonlinear mixed models with SAEM
+#'
+#' This function uses [saemix::saemix()] as a backend for fitting nonlinear mixed
+#' effects models created from [mmkin] row objects using the Stochastic Approximation
+#' Expectation Maximisation algorithm (SAEM).
+#'
+#' An mmkin row object is essentially a list of mkinfit objects that have been
+#' obtained by fitting the same model to a list of datasets using [mkinfit].
+#'
+#' Starting values for the fixed effects (population mean parameters, argument
+#' psi0 of [saemix::saemixModel()] are the mean values of the parameters found
+#' using [mmkin].
+#'
+#' @importFrom utils packageVersion
+#' @param object An [mmkin] row object containing several fits of the same
+#'   [mkinmod] model to different datasets
+#' @param verbose Should we print information about created objects of
+#'   type [saemix::SaemixModel] and [saemix::SaemixData]?
+#' @param transformations Per default, all parameter transformations are done
+#'   in mkin. If this argument is set to 'saemix', parameter transformations
+#'   are done in 'saemix' for the supported cases. Currently this is only
+#'   supported in cases where the initial concentration of the parent is not fixed,
+#'   SFO or DFOP is used for the parent and there is either no metabolite or one.
+#' @param degparms_start Parameter values given as a named numeric vector will
+#'   be used to override the starting values obtained from the 'mmkin' object.
+#' @param test_log_parms If TRUE, an attempt is made to use more robust starting
+#'   values for population parameters fitted as log parameters in mkin (like
+#'   rate constants) by only considering rate constants that pass the t-test
+#'   when calculating mean degradation parameters using [mean_degparms].
+#' @param conf.level Possibility to adjust the required confidence level
+#'   for parameter that are tested if requested by 'test_log_parms'.
+#' @param solution_type Possibility to specify the solution type in case the
+#'   automatic choice is not desired
+#' @param fail_with_errors Should a failure to compute standard errors
+#'   from the inverse of the Fisher Information Matrix be a failure?
+#' @param quiet Should we suppress the messages saemix prints at the beginning
+#'   and the end of the optimisation process?
+#' @param nbiter.saemix Convenience option to increase the number of
+#'   iterations
+#' @param control Passed to [saemix::saemix].
+#' @param \dots Further parameters passed to [saemix::saemixModel].
+#' @return An S3 object of class 'saem.mmkin', containing the fitted
+#'   [saemix::SaemixObject] as a list component named 'so'. The
+#'   object also inherits from 'mixed.mmkin'.
+#' @seealso [summary.saem.mmkin] [plot.mixed.mmkin]
+#' @examples
+#' \dontrun{
+#' ds <- lapply(experimental_data_for_UBA_2019[6:10],
+#'  function(x) subset(x$data[c("name", "time", "value")]))
+#' names(ds) <- paste("Dataset", 6:10)
+#' f_mmkin_parent_p0_fixed <- mmkin("FOMC", ds,
+#'   state.ini = c(parent = 100), fixed_initials = "parent", quiet = TRUE)
+#' f_saem_p0_fixed <- saem(f_mmkin_parent_p0_fixed)
+#'
+#' f_mmkin_parent <- mmkin(c("SFO", "FOMC", "DFOP"), ds, quiet = TRUE)
+#' f_saem_sfo <- saem(f_mmkin_parent["SFO", ])
+#' f_saem_fomc <- saem(f_mmkin_parent["FOMC", ])
+#' f_saem_dfop <- saem(f_mmkin_parent["DFOP", ])
+#'
+#' # The returned saem.mmkin object contains an SaemixObject, therefore we can use
+#' # functions from saemix
+#' library(saemix)
+#' compare.saemix(f_saem_sfo$so, f_saem_fomc$so, f_saem_dfop$so)
+#' plot(f_saem_fomc$so, plot.type = "convergence")
+#' plot(f_saem_fomc$so, plot.type = "individual.fit")
+#' plot(f_saem_fomc$so, plot.type = "npde")
+#' plot(f_saem_fomc$so, plot.type = "vpc")
+#'
+#' f_mmkin_parent_tc <- update(f_mmkin_parent, error_model = "tc")
+#' f_saem_fomc_tc <- saem(f_mmkin_parent_tc["FOMC", ])
+#' compare.saemix(f_saem_fomc$so, f_saem_fomc_tc$so)
+#'
+#' sfo_sfo <- mkinmod(parent = mkinsub("SFO", "A1"),
+#'   A1 = mkinsub("SFO"))
+#' fomc_sfo <- mkinmod(parent = mkinsub("FOMC", "A1"),
+#'   A1 = mkinsub("SFO"))
+#' dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "A1"),
+#'   A1 = mkinsub("SFO"))
+#' # The following fit uses analytical solutions for SFO-SFO and DFOP-SFO,
+#' # and compiled ODEs for FOMC that are much slower
+#' f_mmkin <- mmkin(list(
+#'     "SFO-SFO" = sfo_sfo, "FOMC-SFO" = fomc_sfo, "DFOP-SFO" = dfop_sfo),
+#'   ds, quiet = TRUE)
+#' # saem fits of SFO-SFO and DFOP-SFO to these data take about five seconds
+#' # each on this system, as we use analytical solutions written for saemix.
+#' # When using the analytical solutions written for mkin this took around
+#' # four minutes
+#' f_saem_sfo_sfo <- saem(f_mmkin["SFO-SFO", ])
+#' f_saem_dfop_sfo <- saem(f_mmkin["DFOP-SFO", ])
+#' # We can use print, plot and summary methods to check the results
+#' print(f_saem_dfop_sfo)
+#' plot(f_saem_dfop_sfo)
+#' summary(f_saem_dfop_sfo, data = TRUE)
+#'
+#' # The following takes about 6 minutes
+#' #f_saem_dfop_sfo_deSolve <- saem(f_mmkin["DFOP-SFO", ], solution_type = "deSolve",
+#' #  control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))
+#'
+#' #saemix::compare.saemix(list(
+#' #  f_saem_dfop_sfo$so,
+#' #  f_saem_dfop_sfo_deSolve$so))
+#'
+#' # If the model supports it, we can also use eigenvalue based solutions, which
+#' # take a similar amount of time
+#' #f_saem_sfo_sfo_eigen <- saem(f_mmkin["SFO-SFO", ], solution_type = "eigen",
+#' #  control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))
+#' }
+#' @export
+saem <- function(object, ...) UseMethod("saem")
+
+#' @rdname saem
+#' @export
+saem.mmkin <- function(object,
+  transformations = c("mkin", "saemix"),
+  degparms_start = numeric(),
+  test_log_parms = TRUE,
+  conf.level = 0.6,
+  solution_type = "auto",
+  nbiter.saemix = c(300, 100),
+  control = list(displayProgress = FALSE, print = FALSE,
+    nbiter.saemix = nbiter.saemix,
+    save = FALSE, save.graphs = FALSE),
+  fail_with_errors = TRUE,
+  verbose = FALSE, quiet = FALSE, ...)
+{
+  transformations <- match.arg(transformations)
+  m_saemix <- saemix_model(object, verbose = verbose,
+    degparms_start = degparms_start,
+    test_log_parms = test_log_parms, conf.level = conf.level,
+    solution_type = solution_type,
+    transformations = transformations, ...)
+  d_saemix <- saemix_data(object, verbose = verbose)
+
+  fit_time <- system.time({
+    utils::capture.output(f_saemix <- saemix::saemix(m_saemix, d_saemix, control), split = !quiet)
+    FIM_failed <- NULL
+    if (any(is.na(f_saemix@results@se.fixed))) FIM_failed <- c(FIM_failed, "fixed effects")
+    if (any(is.na(c(f_saemix@results@se.omega, f_saemix@results@se.respar)))) {
+      FIM_failed <- c(FIM_failed, "random effects and residual error parameters")
+    }
+    if (!is.null(FIM_failed) & fail_with_errors) {
+      stop("Could not invert FIM for ", paste(FIM_failed, collapse = " and "))
+    }
+  })
+
+  transparms_optim <- f_saemix@results@fixed.effects
+  names(transparms_optim) <- f_saemix@results@name.fixed
+
+  if (transformations == "mkin") {
+    bparms_optim <- backtransform_odeparms(transparms_optim,
+      object[[1]]$mkinmod,
+      object[[1]]$transform_rates,
+      object[[1]]$transform_fractions)
+  } else {
+    bparms_optim <- transparms_optim
+  }
+
+  return_data <- nlme_data(object)
+
+  return_data$predicted <- f_saemix@model@model(
+    psi = saemix::psi(f_saemix),
+    id = as.numeric(return_data$ds),
+    xidep = return_data[c("time", "name")])
+
+  return_data <- transform(return_data,
+    residual = value - predicted,
+    std = sigma_twocomp(predicted,
+      f_saemix@results@respar[1], f_saemix@results@respar[2]))
+  return_data <- transform(return_data,
+    standardized = residual / std)
+
+  result <- list(
+    mkinmod = object[[1]]$mkinmod,
+    mmkin = object,
+    solution_type = object[[1]]$solution_type,
+    transformations = transformations,
+    transform_rates = object[[1]]$transform_rates,
+    transform_fractions = object[[1]]$transform_fractions,
+    so = f_saemix,
+    time = fit_time,
+    mean_dp_start = attr(m_saemix, "mean_dp_start"),
+    bparms.optim = bparms_optim,
+    bparms.fixed = object[[1]]$bparms.fixed,
+    data = return_data,
+    err_mod = object[[1]]$err_mod,
+    date.fit = date(),
+    saemixversion = as.character(utils::packageVersion("saemix")),
+    mkinversion = as.character(utils::packageVersion("mkin")),
+    Rversion = paste(R.version$major, R.version$minor, sep=".")
+  )
+
+  class(result) <- c("saem.mmkin", "mixed.mmkin")
+  return(result)
+}
+
+#' @export
+#' @rdname saem
+#' @param x An saem.mmkin object to print
+#' @param digits Number of digits to use for printing
+print.saem.mmkin <- function(x, digits = max(3, getOption("digits") - 3), ...) {
+  cat( "Kinetic nonlinear mixed-effects model fit by SAEM" )
+  cat("\nStructural model:\n")
+  diffs <- x$mmkin[[1]]$mkinmod$diffs
+  nice_diffs <- gsub("^(d.*) =", "\\1/dt =", diffs)
+  writeLines(strwrap(nice_diffs, exdent = 11))
+  cat("\nData:\n")
+  cat(nrow(x$data), "observations of",
+    length(unique(x$data$name)), "variable(s) grouped in",
+    length(unique(x$data$ds)), "datasets\n")
+
+  cat("\nLikelihood computed by importance sampling\n")
+  print(data.frame(
+      AIC = AIC(x$so, type = "is"),
+      BIC = BIC(x$so, type = "is"),
+      logLik = logLik(x$so, type = "is"),
+      row.names = " "), digits = digits)
+
+  cat("\nFitted parameters:\n")
+  conf.int <- x$so@results@conf.int[c("estimate", "lower", "upper")]
+  rownames(conf.int) <- x$so@results@conf.int[["name"]]
+  print(conf.int, digits = digits)
+
+  invisible(x)
+}
+
+#' @rdname saem
+#' @return An [saemix::SaemixModel] object.
+#' @export
+saemix_model <- function(object, solution_type = "auto", transformations = c("mkin", "saemix"),
+  degparms_start = numeric(), test_log_parms = FALSE, verbose = FALSE, ...)
+{
+  if (packageVersion("saemix") < "3.0") {
+    stop("To use the interface to saemix, you need to install a version >= 3.0\n")
+  }
+
+  if (nrow(object) > 1) stop("Only row objects allowed")
+
+  mkin_model <- object[[1]]$mkinmod
+
+  degparms_optim <-  mean_degparms(object, test_log_parms = test_log_parms)
+  if (transformations == "saemix") {
+    degparms_optim <- backtransform_odeparms(degparms_optim,
+      object[[1]]$mkinmod,
+      object[[1]]$transform_rates,
+      object[[1]]$transform_fractions)
+  }
+  degparms_fixed <- object[[1]]$bparms.fixed
+
+  # Transformations are done in the degradation function
+  transform.par = rep(0, length(degparms_optim))
+
+  odeini_optim_parm_names <- grep('_0$', names(degparms_optim), value = TRUE)
+  odeini_fixed_parm_names <- grep('_0$', names(degparms_fixed), value = TRUE)
+
+  odeparms_fixed_names <- setdiff(names(degparms_fixed), odeini_fixed_parm_names)
+  odeparms_fixed <- degparms_fixed[odeparms_fixed_names]
+
+  odeini_fixed <- degparms_fixed[odeini_fixed_parm_names]
+  names(odeini_fixed) <- gsub('_0$', '', odeini_fixed_parm_names)
+
+  model_function <- FALSE
+
+  # Model functions with analytical solutions
+  # Fixed parameters, use_of_ff = "min" and turning off sinks currently not supported here
+  # In general, we need to consider exactly how the parameters in mkinfit were specified,
+  # as the parameters are currently mapped by position in these solutions
+  sinks <- sapply(mkin_model$spec, function(x) x$sink)
+  if (length(odeparms_fixed) == 0 & mkin_model$use_of_ff == "max" & all(sinks)) {
+    # Parent only
+    if (length(mkin_model$spec) == 1) {
+      parent_type <- mkin_model$spec[[1]]$type
+      if (length(odeini_fixed) == 1) {
+        if (parent_type == "SFO") {
+          stop("saemix needs at least two parameters to work on.")
+        }
+        if (parent_type == "FOMC") {
+          model_function <- function(psi, id, xidep) {
+            odeini_fixed / (xidep[, "time"]/exp(psi[id, 2]) + 1)^exp(psi[id, 1])
+          }
+        }
+        if (parent_type == "DFOP") {
+          model_function <- function(psi, id, xidep) {
+            g <- plogis(psi[id, 3])
+            t <- xidep[, "time"]
+            odeini_fixed * (g * exp(- exp(psi[id, 1]) * t) +
+              (1 - g) * exp(- exp(psi[id, 2]) * t))
+          }
+        }
+        if (parent_type == "HS") {
+          model_function <- function(psi, id, xidep) {
+            tb <- exp(psi[id, 3])
+            t <- xidep[, "time"]
+            k1 = exp(psi[id, 1])
+            odeini_fixed * ifelse(t <= tb,
+              exp(- k1 * t),
+              exp(- k1 * tb) * exp(- exp(psi[id, 2]) * (t - tb)))
+          }
+        }
+      } else {
+        if (parent_type == "SFO") {
+          if (transformations == "mkin") {
+            model_function <- function(psi, id, xidep) {
+              psi[id, 1] * exp( - exp(psi[id, 2]) * xidep[, "time"])
+            }
+          } else {
+            model_function <- function(psi, id, xidep) {
+              psi[id, 1] * exp( - psi[id, 2] * xidep[, "time"])
+            }
+            transform.par = c(0, 1)
+          }
+        }
+        if (parent_type == "FOMC") {
+          model_function <- function(psi, id, xidep) {
+            psi[id, 1] / (xidep[, "time"]/exp(psi[id, 3]) + 1)^exp(psi[id, 2])
+          }
+        }
+        if (parent_type == "DFOP") {
+          if (transformations == "mkin") {
+            model_function <- function(psi, id, xidep) {
+              g <- plogis(psi[id, 4])
+              t <- xidep[, "time"]
+              psi[id, 1] * (g * exp(- exp(psi[id, 2]) * t) +
+                (1 - g) * exp(- exp(psi[id, 3]) * t))
+            }
+          } else {
+            model_function <- function(psi, id, xidep) {
+              g <- psi[id, 4]
+              t <- xidep[, "time"]
+              psi[id, 1] * (g * exp(- psi[id, 2] * t) +
+                (1 - g) * exp(- psi[id, 3] * t))
+            }
+            transform.par = c(0, 1, 1, 3)
+          }
+        }
+        if (parent_type == "HS") {
+          model_function <- function(psi, id, xidep) {
+            tb <- exp(psi[id, 4])
+            t <- xidep[, "time"]
+            k1 = exp(psi[id, 2])
+            psi[id, 1] * ifelse(t <= tb,
+              exp(- k1 * t),
+              exp(- k1 * tb) * exp(- exp(psi[id, 3]) * (t - tb)))
+          }
+        }
+      }
+    }
+
+    # Parent with one metabolite
+    # Parameter names used in the model functions are as in
+    # https://nbviewer.jupyter.org/urls/jrwb.de/nb/Symbolic%20ODE%20solutions%20for%20mkin.ipynb
+    types <- unname(sapply(mkin_model$spec, function(x) x$type))
+    if (length(mkin_model$spec) == 2 &! "SFORB" %in% types ) {
+      # Initial value for the metabolite (n20) must be fixed
+      if (names(odeini_fixed) == names(mkin_model$spec)[2]) {
+        n20 <- odeini_fixed
+        parent_name <- names(mkin_model$spec)[1]
+        if (identical(types, c("SFO", "SFO"))) {
+          if (transformations == "mkin") {
+            model_function <- function(psi, id, xidep) {
+              t <- xidep[, "time"]
+              n10 <- psi[id, 1]
+              k1 <- exp(psi[id, 2])
+              k2 <- exp(psi[id, 3])
+              f12 <- plogis(psi[id, 4])
+              ifelse(xidep[, "name"] == parent_name,
+                n10 * exp(- k1 * t),
+                (((k2 - k1) * n20 - f12 * k1 * n10) * exp(- k2 * t)) / (k2 - k1) +
+                  (f12 * k1 * n10 * exp(- k1 * t)) / (k2 - k1)
+              )
+            }
+          } else {
+            model_function <- function(psi, id, xidep) {
+              t <- xidep[, "time"]
+              n10 <- psi[id, 1]
+              k1 <- psi[id, 2]
+              k2 <- psi[id, 3]
+              f12 <- psi[id, 4]
+              ifelse(xidep[, "name"] == parent_name,
+                n10 * exp(- k1 * t),
+                (((k2 - k1) * n20 - f12 * k1 * n10) * exp(- k2 * t)) / (k2 - k1) +
+                  (f12 * k1 * n10 * exp(- k1 * t)) / (k2 - k1)
+              )
+            }
+            transform.par = c(0, 1, 1, 3)
+          }
+        }
+        if (identical(types, c("DFOP", "SFO"))) {
+          if (transformations == "mkin") {
+            model_function <- function(psi, id, xidep) {
+              t <- xidep[, "time"]
+              n10 <- psi[id, 1]
+              k2 <- exp(psi[id, 2])
+              f12 <- plogis(psi[id, 3])
+              l1 <- exp(psi[id, 4])
+              l2 <- exp(psi[id, 5])
+              g <- plogis(psi[id, 6])
+              ifelse(xidep[, "name"] == parent_name,
+                n10 * (g * exp(- l1 * t) + (1 - g) * exp(- l2 * t)),
+                ((f12 * g - f12) * l2 * n10 * exp(- l2 * t)) / (l2 - k2) -
+                  (f12 * g * l1 * n10 * exp(- l1 * t)) / (l1 - k2) +
+                  ((((l1 - k2) * l2 - k2 * l1 + k2^2) * n20 +
+                      ((f12 * l1 + (f12 * g - f12) * k2) * l2 -
+                        f12 * g * k2 * l1) * n10) * exp( - k2 * t)) /
+                  ((l1 - k2) * l2 - k2 * l1 + k2^2)
+              )
+            }
+          } else {
+            model_function <- function(psi, id, xidep) {
+              t <- xidep[, "time"]
+              n10 <- psi[id, 1]
+              k2 <- psi[id, 2]
+              f12 <- psi[id, 3]
+              l1 <- psi[id, 4]
+              l2 <- psi[id, 5]
+              g <- psi[id, 6]
+              ifelse(xidep[, "name"] == parent_name,
+                n10 * (g * exp(- l1 * t) + (1 - g) * exp(- l2 * t)),
+                ((f12 * g - f12) * l2 * n10 * exp(- l2 * t)) / (l2 - k2) -
+                  (f12 * g * l1 * n10 * exp(- l1 * t)) / (l1 - k2) +
+                  ((((l1 - k2) * l2 - k2 * l1 + k2^2) * n20 +
+                      ((f12 * l1 + (f12 * g - f12) * k2) * l2 -
+                        f12 * g * k2 * l1) * n10) * exp( - k2 * t)) /
+                  ((l1 - k2) * l2 - k2 * l1 + k2^2)
+              )
+            }
+            transform.par = c(0, 1, 3, 1, 1, 3)
+          }
+        }
+      }
+    }
+  }
+
+  if (is.function(model_function) & solution_type == "auto") {
+    solution_type = "analytical saemix"
+  } else {
+
+    if (solution_type == "auto")
+      solution_type <- object[[1]]$solution_type
+
+    model_function <- function(psi, id, xidep) {
+
+      uid <- unique(id)
+
+      res_list <- lapply(uid, function(i) {
+
+        transparms_optim <- as.numeric(psi[i, ]) # psi[i, ] is a dataframe when called in saemix.predict
+        names(transparms_optim) <- names(degparms_optim)
+
+        odeini_optim <- transparms_optim[odeini_optim_parm_names]
+        names(odeini_optim) <- gsub('_0$', '', odeini_optim_parm_names)
+
+        odeini <- c(odeini_optim, odeini_fixed)[names(mkin_model$diffs)]
+
+        ode_transparms_optim_names <- setdiff(names(transparms_optim), odeini_optim_parm_names)
+        odeparms_optim <- backtransform_odeparms(transparms_optim[ode_transparms_optim_names], mkin_model,
+          transform_rates = object[[1]]$transform_rates,
+          transform_fractions = object[[1]]$transform_fractions)
+        odeparms <- c(odeparms_optim, odeparms_fixed)
+
+        xidep_i <- subset(xidep, id == i)
+
+        if (solution_type == "analytical") {
+          out_values <- mkin_model$deg_func(xidep_i, odeini, odeparms)
+        } else {
+
+          i_time <- xidep_i$time
+          i_name <- xidep_i$name
+
+          out_wide <- mkinpredict(mkin_model,
+            odeparms = odeparms, odeini = odeini,
+            solution_type = solution_type,
+            outtimes = sort(unique(i_time)),
+            na_stop = FALSE
+          )
+
+          out_index <- cbind(as.character(i_time), as.character(i_name))
+          out_values <- out_wide[out_index]
+        }
+        return(out_values)
+      })
+      res <- unlist(res_list)
+      return(res)
+    }
+  }
+
+  error.model <- switch(object[[1]]$err_mod,
+    const = "constant",
+    tc = "combined",
+    obs = "constant")
+
+  if (object[[1]]$err_mod == "obs") {
+    warning("The error model 'obs' (variance by variable) can currently not be transferred to an saemix model")
+  }
+
+  error.init <- switch(object[[1]]$err_mod,
+    const = c(a = mean(sapply(object, function(x) x$errparms)), b = 1),
+    tc = c(a = mean(sapply(object, function(x) x$errparms[1])),
+      b = mean(sapply(object, function(x) x$errparms[2]))),
+    obs = c(a = mean(sapply(object, function(x) x$errparms)), b = 1))
+
+  degparms_psi0 <- degparms_optim
+  degparms_psi0[names(degparms_start)] <- degparms_start
+  psi0_matrix <- matrix(degparms_psi0, nrow = 1)
+  colnames(psi0_matrix) <- names(degparms_psi0)
+
+  res <- saemix::saemixModel(model_function,
+    psi0 = psi0_matrix,
+    "Mixed model generated from mmkin object",
+    transform.par = transform.par,
+    error.model = error.model,
+    verbose = verbose
+  )
+  attr(res, "mean_dp_start") <- degparms_optim
+  return(res)
+}
+
+#' @rdname saem
+#' @return An [saemix::SaemixData] object.
+#' @export
+saemix_data <- function(object, verbose = FALSE, ...) {
+  if (nrow(object) > 1) stop("Only row objects allowed")
+  ds_names <- colnames(object)
+
+  ds_list <- lapply(object, function(x) x$data[c("time", "variable", "observed")])
+  names(ds_list) <- ds_names
+  ds_saemix_all <- purrr::map_dfr(ds_list, function(x) x, .id = "ds")
+  ds_saemix <- data.frame(ds = ds_saemix_all$ds,
+    name = as.character(ds_saemix_all$variable),
+    time = ds_saemix_all$time,
+    value = ds_saemix_all$observed,
+    stringsAsFactors = FALSE)
+
+  res <- saemix::saemixData(ds_saemix,
+    name.group = "ds",
+    name.predictors = c("time", "name"),
+    name.response = "value",
+    verbose = verbose,
+    ...)
+  return(res)
+}
diff --git a/R/summary.nlmixr.mmkin.R b/R/summary.nlmixr.mmkin.R
new file mode 100644
index 00000000..a023f319
--- /dev/null
+++ b/R/summary.nlmixr.mmkin.R
@@ -0,0 +1,250 @@
+#' Summary method for class "nlmixr.mmkin"
+#'
+#' Lists model equations, initial parameter values, optimised parameters
+#' for fixed effects (population), random effects (deviations from the
+#' population mean) and residual error model, as well as the resulting
+#' endpoints such as formation fractions and DT50 values. Optionally
+#' (default is FALSE), the data are listed in full.
+#'
+#' @importFrom stats confint sd
+#' @param object an object of class [nlmixr.mmkin]
+#' @param x an object of class [summary.nlmixr.mmkin]
+#' @param data logical, indicating whether the full data should be included in
+#'   the summary.
+#' @param verbose Should the summary be verbose?
+#' @param distimes logical, indicating whether DT50 and DT90 values should be
+#'   included.
+#' @param digits Number of digits to use for printing
+#' @param \dots optional arguments passed to methods like \code{print}.
+#' @return The summary function returns a list obtained in the fit, with at
+#'   least the following additional components
+#'   \item{nlmixrversion, mkinversion, Rversion}{The nlmixr, mkin and R versions used}
+#'   \item{date.fit, date.summary}{The dates where the fit and the summary were
+#'     produced}
+#'   \item{diffs}{The differential equations used in the degradation model}
+#'   \item{use_of_ff}{Was maximum or minimum use made of formation fractions}
+#'   \item{data}{The data}
+#'   \item{confint_back}{Backtransformed parameters, with confidence intervals if available}
+#'   \item{ff}{The estimated formation fractions derived from the fitted
+#'      model.}
+#'   \item{distimes}{The DT50 and DT90 values for each observed variable.}
+#'   \item{SFORB}{If applicable, eigenvalues of SFORB components of the model.}
+#'   The print method is called for its side effect, i.e. printing the summary.
+#' @importFrom stats predict vcov
+#' @author Johannes Ranke for the mkin specific parts
+#'   nlmixr authors for the parts inherited from nlmixr.
+#' @examples
+#' # Generate five datasets following DFOP-SFO kinetics
+#' sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
+#' dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "m1"),
+#'  m1 = mkinsub("SFO"), quiet = TRUE)
+#' set.seed(1234)
+#' k1_in <- rlnorm(5, log(0.1), 0.3)
+#' k2_in <- rlnorm(5, log(0.02), 0.3)
+#' g_in <- plogis(rnorm(5, qlogis(0.5), 0.3))
+#' f_parent_to_m1_in <- plogis(rnorm(5, qlogis(0.3), 0.3))
+#' k_m1_in <- rlnorm(5, log(0.02), 0.3)
+#'
+#' pred_dfop_sfo <- function(k1, k2, g, f_parent_to_m1, k_m1) {
+#'   mkinpredict(dfop_sfo,
+#'     c(k1 = k1, k2 = k2, g = g, f_parent_to_m1 = f_parent_to_m1, k_m1 = k_m1),
+#'     c(parent = 100, m1 = 0),
+#'     sampling_times)
+#' }
+#'
+#' ds_mean_dfop_sfo <- lapply(1:5, function(i) {
+#'   mkinpredict(dfop_sfo,
+#'     c(k1 = k1_in[i], k2 = k2_in[i], g = g_in[i],
+#'       f_parent_to_m1 = f_parent_to_m1_in[i], k_m1 = k_m1_in[i]),
+#'     c(parent = 100, m1 = 0),
+#'     sampling_times)
+#' })
+#' names(ds_mean_dfop_sfo) <- paste("ds", 1:5)
+#'
+#' ds_syn_dfop_sfo <- lapply(ds_mean_dfop_sfo, function(ds) {
+#'   add_err(ds,
+#'     sdfunc = function(value) sqrt(1^2 + value^2 * 0.07^2),
+#'     n = 1)[[1]]
+#' })
+#'
+#' \dontrun{
+#' # Evaluate using mmkin and nlmixr
+#' f_mmkin_dfop_sfo <- mmkin(list(dfop_sfo), ds_syn_dfop_sfo,
+#'   quiet = TRUE, error_model = "tc", cores = 5)
+#' f_saemix_dfop_sfo <- mkin::saem(f_mmkin_dfop_sfo)
+#' f_nlme_dfop_sfo <- mkin::nlme(f_mmkin_dfop_sfo)
+#' f_nlmixr_dfop_sfo_saem <- nlmixr(f_mmkin_dfop_sfo, est = "saem")
+#' # The following takes a very long time but gives
+#' f_nlmixr_dfop_sfo_focei <- nlmixr(f_mmkin_dfop_sfo, est = "focei")
+#' AIC(f_nlmixr_dfop_sfo_saem$nm, f_nlmixr_dfop_sfo_focei$nm)
+#' summary(f_nlmixr_dfop_sfo_sfo, data = TRUE)
+#' }
+#'
+#' @export
+summary.nlmixr.mmkin <- function(object, data = FALSE, verbose = FALSE, distimes = TRUE, ...) {
+
+  mod_vars <- names(object$mkinmod$diffs)
+
+  conf.int <- confint(object$nm)
+  dpnames <- setdiff(rownames(conf.int), names(object$mean_ep_start))
+  ndp <- length(dpnames)
+
+  confint_trans <- as.matrix(conf.int[dpnames, c(1, 3, 4)])
+  colnames(confint_trans) <- c("est.", "lower", "upper")
+
+  bp <- backtransform_odeparms(confint_trans[, "est."], object$mkinmod,
+    object$transform_rates, object$transform_fractions)
+  bpnames <- names(bp)
+
+  # Transform boundaries of CI for one parameter at a time,
+  # with the exception of sets of formation fractions (single fractions are OK).
+  f_names_skip <- character(0)
+  for (box in mod_vars) { # Figure out sets of fractions to skip
+    f_names <- grep(paste("^f", box, sep = "_"), dpnames, value = TRUE)
+    n_paths <- length(f_names)
+    if (n_paths > 1) f_names_skip <- c(f_names_skip, f_names)
+  }
+
+  confint_back <- matrix(NA, nrow = length(bp), ncol = 3,
+    dimnames = list(bpnames, colnames(confint_trans)))
+  confint_back[, "est."] <- bp
+
+  for (pname in dpnames) {
+    if (!pname %in% f_names_skip) {
+      par.lower <- confint_trans[pname, "lower"]
+      par.upper <- confint_trans[pname, "upper"]
+      names(par.lower) <- names(par.upper) <- pname
+      bpl <- backtransform_odeparms(par.lower, object$mkinmod,
+                                            object$transform_rates,
+                                            object$transform_fractions)
+      bpu <- backtransform_odeparms(par.upper, object$mkinmod,
+                                            object$transform_rates,
+                                            object$transform_fractions)
+      confint_back[names(bpl), "lower"] <- bpl
+      confint_back[names(bpu), "upper"] <- bpu
+    }
+  }
+
+  #  Correlation of fixed effects (inspired by summary.nlme)
+  varFix <- vcov(object$nm)
+  stdFix <- sqrt(diag(varFix))
+  object$corFixed <- array(
+    t(varFix/stdFix)/stdFix,
+    dim(varFix),
+    list(dpnames, dpnames))
+
+  object$confint_trans <- confint_trans
+  object$confint_back <- confint_back
+
+  object$date.summary = date()
+  object$use_of_ff = object$mkinmod$use_of_ff
+
+  object$diffs <- object$mkinmod$diffs
+  object$print_data <- data # boolean: Should we print the data?
+
+  names(object$data)[4] <- "observed" # rename value to observed
+
+  object$verbose <- verbose
+
+  object$fixed <- object$mmkin_orig[[1]]$fixed
+  object$AIC = AIC(object$nm)
+  object$BIC = BIC(object$nm)
+  object$logLik = logLik(object$nm)
+
+  ep <- endpoints(object)
+  if (length(ep$ff) != 0)
+    object$ff <- ep$ff
+  if (distimes) object$distimes <- ep$distimes
+  if (length(ep$SFORB) != 0) object$SFORB <- ep$SFORB
+  class(object) <- c("summary.nlmixr.mmkin")
+  return(object)
+}
+
+#' @rdname summary.nlmixr.mmkin
+#' @export
+print.summary.nlmixr.mmkin <- function(x, digits = max(3, getOption("digits") - 3), verbose = x$verbose, ...) {
+  cat("nlmixr version used for fitting:   ", x$nlmixrversion, "\n")
+  cat("mkin version used for pre-fitting: ", x$mkinversion, "\n")
+  cat("R version used for fitting:        ", x$Rversion, "\n")
+
+  cat("Date of fit:    ", x$date.fit, "\n")
+  cat("Date of summary:", x$date.summary, "\n")
+
+  cat("\nEquations:\n")
+  nice_diffs <- gsub("^(d.*) =", "\\1/dt =", x[["diffs"]])
+  writeLines(strwrap(nice_diffs, exdent = 11))
+
+  cat("\nData:\n")
+  cat(nrow(x$data), "observations of",
+    length(unique(x$data$name)), "variable(s) grouped in",
+    length(unique(x$data$ds)), "datasets\n")
+
+  cat("\nDegradation model predictions using RxODE\n")
+
+  cat("\nFitted in", x$time[["elapsed"]],  "s\n")
+
+  cat("\nVariance model: ")
+  cat(switch(x$err_mod,
+    const = "Constant variance",
+    obs = "Variance unique to each observed variable",
+    tc = "Two-component variance function",
+    obs_tc = "Two-component variance unique to each observed variable"), "\n")
+
+  cat("\nMean of starting values for individual parameters:\n")
+  print(x$mean_dp_start, digits = digits)
+
+  cat("\nMean of starting values for error model parameters:\n")
+  print(x$mean_ep_start, digits = digits)
+
+  cat("\nFixed degradation parameter values:\n")
+  if(length(x$fixed$value) == 0) cat("None\n")
+  else print(x$fixed, digits = digits)
+
+  cat("\nResults:\n\n")
+  cat("Likelihood calculated by", nlmixr::getOfvType(x$nm), " \n")
+  print(data.frame(AIC = x$AIC, BIC = x$BIC, logLik = x$logLik,
+      row.names = " "), digits = digits)
+
+  cat("\nOptimised parameters:\n")
+  print(x$confint_trans, digits = digits)
+
+  if (nrow(x$confint_trans) > 1) {
+    corr <- x$corFixed
+    class(corr) <- "correlation"
+    print(corr, title = "\nCorrelation:", ...)
+  }
+
+  cat("\nRandom effects (omega):\n")
+  print(x$nm$omega, digits = digits)
+
+  cat("\nVariance model:\n")
+  print(x$nm$sigma, digits = digits)
+
+  cat("\nBacktransformed parameters:\n")
+  print(x$confint_back, digits = digits)
+
+  printSFORB <- !is.null(x$SFORB)
+  if(printSFORB){
+    cat("\nEstimated Eigenvalues of SFORB model(s):\n")
+    print(x$SFORB, digits = digits,...)
+  }
+
+  printff <- !is.null(x$ff)
+  if(printff){
+    cat("\nResulting formation fractions:\n")
+    print(data.frame(ff = x$ff), digits = digits,...)
+  }
+
+  printdistimes <- !is.null(x$distimes)
+  if(printdistimes){
+    cat("\nEstimated disappearance times:\n")
+    print(x$distimes, digits = digits,...)
+  }
+
+  if (x$print_data){
+    cat("\nData:\n")
+    print(format(x$data, digits = digits, ...), row.names = FALSE)
+  }
+
+  invisible(x)
+}
diff --git a/R/summary.saem.mmkin.R b/R/summary.saem.mmkin.R
new file mode 100644
index 00000000..e92c561c
--- /dev/null
+++ b/R/summary.saem.mmkin.R
@@ -0,0 +1,268 @@
+#' Summary method for class "saem.mmkin"
+#'
+#' Lists model equations, initial parameter values, optimised parameters
+#' for fixed effects (population), random effects (deviations from the
+#' population mean) and residual error model, as well as the resulting
+#' endpoints such as formation fractions and DT50 values. Optionally
+#' (default is FALSE), the data are listed in full.
+#'
+#' @param object an object of class [saem.mmkin]
+#' @param x an object of class [summary.saem.mmkin]
+#' @param data logical, indicating whether the full data should be included in
+#'   the summary.
+#' @param verbose Should the summary be verbose?
+#' @param distimes logical, indicating whether DT50 and DT90 values should be
+#'   included.
+#' @param digits Number of digits to use for printing
+#' @param \dots optional arguments passed to methods like \code{print}.
+#' @return The summary function returns a list based on the [saemix::SaemixObject]
+#'   obtained in the fit, with at least the following additional components
+#'   \item{saemixversion, mkinversion, Rversion}{The saemix, mkin and R versions used}
+#'   \item{date.fit, date.summary}{The dates where the fit and the summary were
+#'     produced}
+#'   \item{diffs}{The differential equations used in the degradation model}
+#'   \item{use_of_ff}{Was maximum or minimum use made of formation fractions}
+#'   \item{data}{The data}
+#'   \item{confint_trans}{Transformed parameters as used in the optimisation, with confidence intervals}
+#'   \item{confint_back}{Backtransformed parameters, with confidence intervals if available}
+#'   \item{confint_errmod}{Error model parameters with confidence intervals}
+#'   \item{ff}{The estimated formation fractions derived from the fitted
+#'      model.}
+#'   \item{distimes}{The DT50 and DT90 values for each observed variable.}
+#'   \item{SFORB}{If applicable, eigenvalues of SFORB components of the model.}
+#'   The print method is called for its side effect, i.e. printing the summary.
+#' @importFrom stats predict vcov
+#' @author Johannes Ranke for the mkin specific parts
+#'   saemix authors for the parts inherited from saemix.
+#' @examples
+#' # Generate five datasets following DFOP-SFO kinetics
+#' sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
+#' dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "m1"),
+#'  m1 = mkinsub("SFO"), quiet = TRUE)
+#' set.seed(1234)
+#' k1_in <- rlnorm(5, log(0.1), 0.3)
+#' k2_in <- rlnorm(5, log(0.02), 0.3)
+#' g_in <- plogis(rnorm(5, qlogis(0.5), 0.3))
+#' f_parent_to_m1_in <- plogis(rnorm(5, qlogis(0.3), 0.3))
+#' k_m1_in <- rlnorm(5, log(0.02), 0.3)
+#'
+#' pred_dfop_sfo <- function(k1, k2, g, f_parent_to_m1, k_m1) {
+#'   mkinpredict(dfop_sfo,
+#'     c(k1 = k1, k2 = k2, g = g, f_parent_to_m1 = f_parent_to_m1, k_m1 = k_m1),
+#'     c(parent = 100, m1 = 0),
+#'     sampling_times)
+#' }
+#'
+#' ds_mean_dfop_sfo <- lapply(1:5, function(i) {
+#'   mkinpredict(dfop_sfo,
+#'     c(k1 = k1_in[i], k2 = k2_in[i], g = g_in[i],
+#'       f_parent_to_m1 = f_parent_to_m1_in[i], k_m1 = k_m1_in[i]),
+#'     c(parent = 100, m1 = 0),
+#'     sampling_times)
+#' })
+#' names(ds_mean_dfop_sfo) <- paste("ds", 1:5)
+#'
+#' ds_syn_dfop_sfo <- lapply(ds_mean_dfop_sfo, function(ds) {
+#'   add_err(ds,
+#'     sdfunc = function(value) sqrt(1^2 + value^2 * 0.07^2),
+#'     n = 1)[[1]]
+#' })
+#'
+#' \dontrun{
+#' # Evaluate using mmkin and saem
+#' f_mmkin_dfop_sfo <- mmkin(list(dfop_sfo), ds_syn_dfop_sfo,
+#'   quiet = TRUE, error_model = "tc", cores = 5)
+#' f_saem_dfop_sfo <- saem(f_mmkin_dfop_sfo)
+#' summary(f_saem_dfop_sfo, data = TRUE)
+#' }
+#'
+#' @export
+summary.saem.mmkin <- function(object, data = FALSE, verbose = FALSE, distimes = TRUE, ...) {
+
+  mod_vars <- names(object$mkinmod$diffs)
+
+  pnames <- names(object$mean_dp_start)
+  np <- length(pnames)
+
+  conf.int <- object$so@results@conf.int
+  rownames(conf.int) <- conf.int$name
+  confint_trans <- as.matrix(conf.int[pnames, c("estimate", "lower", "upper")])
+  colnames(confint_trans)[1] <- "est."
+
+  # In case objects were produced by earlier versions of saem
+  if (is.null(object$transformations)) object$transformations <- "mkin"
+
+  if (object$transformations == "mkin") {
+    bp <- backtransform_odeparms(confint_trans[, "est."], object$mkinmod,
+      object$transform_rates, object$transform_fractions)
+    bpnames <- names(bp)
+
+    # Transform boundaries of CI for one parameter at a time,
+    # with the exception of sets of formation fractions (single fractions are OK).
+    f_names_skip <- character(0)
+    for (box in mod_vars) { # Figure out sets of fractions to skip
+      f_names <- grep(paste("^f", box, sep = "_"), pnames, value = TRUE)
+      n_paths <- length(f_names)
+      if (n_paths > 1) f_names_skip <- c(f_names_skip, f_names)
+    }
+
+    confint_back <- matrix(NA, nrow = length(bp), ncol = 3,
+      dimnames = list(bpnames, colnames(confint_trans)))
+    confint_back[, "est."] <- bp
+
+    for (pname in pnames) {
+      if (!pname %in% f_names_skip) {
+        par.lower <- confint_trans[pname, "lower"]
+        par.upper <- confint_trans[pname, "upper"]
+        names(par.lower) <- names(par.upper) <- pname
+        bpl <- backtransform_odeparms(par.lower, object$mkinmod,
+                                              object$transform_rates,
+                                              object$transform_fractions)
+        bpu <- backtransform_odeparms(par.upper, object$mkinmod,
+                                              object$transform_rates,
+                                              object$transform_fractions)
+        confint_back[names(bpl), "lower"] <- bpl
+        confint_back[names(bpu), "upper"] <- bpu
+      }
+    }
+  } else {
+    confint_back <- confint_trans
+  }
+
+  #  Correlation of fixed effects (inspired by summary.nlme)
+  varFix <- vcov(object$so)[1:np, 1:np]
+  stdFix <- sqrt(diag(varFix))
+  object$corFixed <- array(
+    t(varFix/stdFix)/stdFix,
+    dim(varFix),
+    list(pnames, pnames))
+
+  # Random effects
+  rnames <- paste0("SD.", pnames)
+  confint_ranef <- as.matrix(conf.int[rnames, c("estimate", "lower", "upper")])
+  colnames(confint_ranef)[1] <- "est."
+
+  # Error model
+  enames <- if (object$err_mod == "const") "a.1" else c("a.1", "b.1")
+  confint_errmod <- as.matrix(conf.int[enames, c("estimate", "lower", "upper")])
+  colnames(confint_errmod)[1] <- "est."
+
+
+  object$confint_trans <- confint_trans
+  object$confint_ranef <- confint_ranef
+  object$confint_errmod <- confint_errmod
+  object$confint_back <- confint_back
+
+  object$date.summary = date()
+  object$use_of_ff = object$mkinmod$use_of_ff
+  object$error_model_algorithm = object$mmkin_orig[[1]]$error_model_algorithm
+  err_mod = object$mmkin_orig[[1]]$err_mod
+
+  object$diffs <- object$mkinmod$diffs
+  object$print_data <- data # boolean: Should we print the data?
+  so_pred <- object$so@results@predictions
+
+  names(object$data)[4] <- "observed" # rename value to observed
+
+  object$verbose <- verbose
+
+  object$fixed <- object$mmkin_orig[[1]]$fixed
+  object$AIC = AIC(object$so)
+  object$BIC = BIC(object$so)
+  object$logLik = logLik(object$so, method = "is")
+
+  ep <- endpoints(object)
+  if (length(ep$ff) != 0)
+    object$ff <- ep$ff
+  if (distimes) object$distimes <- ep$distimes
+  if (length(ep$SFORB) != 0) object$SFORB <- ep$SFORB
+  class(object) <- c("summary.saem.mmkin")
+  return(object)
+}
+
+#' @rdname summary.saem.mmkin
+#' @export
+print.summary.saem.mmkin <- function(x, digits = max(3, getOption("digits") - 3), verbose = x$verbose, ...) {
+  cat("saemix version used for fitting:     ", x$saemixversion, "\n")
+  cat("mkin version used for pre-fitting: ", x$mkinversion, "\n")
+  cat("R version used for fitting:        ", x$Rversion, "\n")
+
+  cat("Date of fit:    ", x$date.fit, "\n")
+  cat("Date of summary:", x$date.summary, "\n")
+
+  cat("\nEquations:\n")
+  nice_diffs <- gsub("^(d.*) =", "\\1/dt =", x[["diffs"]])
+  writeLines(strwrap(nice_diffs, exdent = 11))
+
+  cat("\nData:\n")
+  cat(nrow(x$data), "observations of",
+    length(unique(x$data$name)), "variable(s) grouped in",
+    length(unique(x$data$ds)), "datasets\n")
+
+  cat("\nModel predictions using solution type", x$solution_type, "\n")
+
+  cat("\nFitted in", x$time[["elapsed"]],  "s using", paste(x$so@options$nbiter.saemix, collapse = ", "), "iterations\n")
+
+  cat("\nVariance model: ")
+  cat(switch(x$err_mod,
+    const = "Constant variance",
+    obs = "Variance unique to each observed variable",
+    tc = "Two-component variance function"), "\n")
+
+  cat("\nMean of starting values for individual parameters:\n")
+  print(x$mean_dp_start, digits = digits)
+
+  cat("\nFixed degradation parameter values:\n")
+  if(length(x$fixed$value) == 0) cat("None\n")
+  else print(x$fixed, digits = digits)
+
+  cat("\nResults:\n\n")
+  cat("Likelihood computed by importance sampling\n")
+  print(data.frame(AIC = x$AIC, BIC = x$BIC, logLik = x$logLik,
+      row.names = " "), digits = digits)
+
+  cat("\nOptimised parameters:\n")
+  print(x$confint_trans, digits = digits)
+
+  if (nrow(x$confint_trans) > 1) {
+    corr <- x$corFixed
+    class(corr) <- "correlation"
+    print(corr, title = "\nCorrelation:", ...)
+  }
+
+  cat("\nRandom effects:\n")
+  print(x$confint_ranef, digits = digits)
+
+  cat("\nVariance model:\n")
+  print(x$confint_errmod, digits = digits)
+
+  if (x$transformations == "mkin") {
+    cat("\nBacktransformed parameters:\n")
+    print(x$confint_back, digits = digits)
+  }
+
+  printSFORB <- !is.null(x$SFORB)
+  if(printSFORB){
+    cat("\nEstimated Eigenvalues of SFORB model(s):\n")
+    print(x$SFORB, digits = digits,...)
+  }
+
+  printff <- !is.null(x$ff)
+  if(printff){
+    cat("\nResulting formation fractions:\n")
+    print(data.frame(ff = x$ff), digits = digits,...)
+  }
+
+  printdistimes <- !is.null(x$distimes)
+  if(printdistimes){
+    cat("\nEstimated disappearance times:\n")
+    print(x$distimes, digits = digits,...)
+  }
+
+  if (x$print_data){
+    cat("\nData:\n")
+    print(format(x$data, digits = digits, ...), row.names = FALSE)
+  }
+
+  invisible(x)
+}
diff --git a/R/tffm0.R b/R/tffm0.R
new file mode 100644
index 00000000..bb5f4cf5
--- /dev/null
+++ b/R/tffm0.R
@@ -0,0 +1,48 @@
+#' Transform formation fractions as in the first published mkin version
+#'
+#' The transformed fractions can be restricted between 0 and 1 in model
+#' optimisations. Therefore this transformation was used originally in mkin. It
+#' was later replaced by the [ilr] transformation because the ilr transformed
+#' fractions can assumed to follow normal distribution. As the ilr
+#' transformation is not available in [RxODE] and can therefore not be used in
+#' the nlmixr modelling language, this transformation is currently used for
+#' translating mkin models with formation fractions to more than one target
+#' compartment for fitting with nlmixr in [nlmixr_model]. However,
+#' this implementation cannot be used there, as it is not accessible
+#' from RxODE.
+#'
+#' @param ff Vector of untransformed formation fractions. The sum
+#'   must be smaller or equal to one
+#' @param ff_trans Vector of transformed formation fractions that can be
+#'   restricted to the interval from 0 to 1
+#' @return A vector of the transformed formation fractions
+#' @export
+#' @examples
+#' ff_example <- c(
+#'   0.10983681, 0.09035905, 0.08399383
+#' )
+#' ff_example_trans <- tffm0(ff_example)
+#' invtffm0(ff_example_trans)
+tffm0 <- function(ff) {
+  n <- length(ff)
+  res <- numeric(n)
+  f_remaining <- 1
+  for (i in 1:n) {
+    res[i] <- ff[i]/f_remaining
+    f_remaining <- f_remaining - ff[i]
+  }
+  return(res)
+}
+#' @rdname tffm0
+#' @export
+#' @return A vector of backtransformed formation fractions for natural use in degradation models
+invtffm0 <- function(ff_trans) {
+  n <- length(ff_trans)
+  res <- numeric(n)
+  f_remaining <- 1
+  for (i in 1:n) {
+    res[i] <- ff_trans[i] * f_remaining
+    f_remaining <- f_remaining - res[i]
+  }
+  return(res)
+}
diff --git a/R/transform_odeparms.R b/R/transform_odeparms.R
index 4fe4e5c2..174e7c2d 100644
--- a/R/transform_odeparms.R
+++ b/R/transform_odeparms.R
@@ -229,13 +229,18 @@ backtransform_odeparms <- function(transparms, mkinmod,
     if (length(trans_f) > 0) {
       if(transform_fractions) {
         if (any(grepl("qlogis", names(trans_f)))) {
-          parms[f_names] <- plogis(trans_f)
+          f_tmp  <- plogis(trans_f)
+          if (any(grepl("_tffm0_.*_qlogis$", names(f_tmp)))) {
+            parms[f_names] <- invtffm0(f_tmp)
+          } else {
+            parms[f_names] <- f_tmp
+          }
         } else {
-          f <- invilr(trans_f)
+          f_tmp <- invilr(trans_f)
           if (spec[[box]]$sink) {
-            parms[f_names] <- f[1:length(f)-1]
+            parms[f_names] <- f_tmp[1:length(f_tmp)-1]
           } else {
-            parms[f_names] <- f
+            parms[f_names] <- f_tmp
           }
         }
       } else {
diff --git a/README.html b/README.html
index 452a90e9..68c11a37 100644
--- a/README.html
+++ b/README.html
@@ -363,7 +363,7 @@ pre code {
 
 <div id="mkin" class="section level1">
 <h1>mkin</h1>
-<p><a href="https://cran.r-project.org/package=mkin"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></a> <a href="https://app.travis-ci.com/github/jranke/mkin"><img src="data:image/svg+xml;base64,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" alt="Build Status" /></a> <a href="https://codecov.io/github/jranke/mkin"><img src="data:image/svg+xml;base64,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" alt="codecov" /></a></p>
+<p><a href="https://cran.r-project.org/package=mkin"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></a> <a href="https://app.travis-ci.com/github/jranke/mkin"><img src="data:image/svg+xml;base64,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" alt="Build Status" /></a> <a href="https://codecov.io/github/jranke/mkin"><img src="data:image/svg+xml;base64,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" alt="codecov" /></a></p>
 <p>The R package <strong>mkin</strong> provides calculation routines for the analysis of chemical degradation data, including <b>m</b>ulticompartment <b>kin</b>etics as needed for modelling the formation and decline of transformation products, or if several degradation compartments are involved.</p>
 <div id="installation" class="section level2">
 <h2>Installation</h2>
diff --git a/_pkgdown.yml b/_pkgdown.yml
index aaade416..ec9bfb1b 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -1,8 +1,8 @@
 url: https://pkgdown.jrwb.de/mkin
 
 development:
-  mode: release
-  version_label: default
+  mode: devel
+  version_label: info
 
 template:
   bootswatch: spacelab
@@ -42,11 +42,19 @@ reference:
     desc: Create and work with nonlinear mixed effects models
     contents:
       - nlme.mmkin
+      - saem.mmkin
+      - nlmixr.mmkin
       - plot.mixed.mmkin
       - summary.nlme.mmkin
+      - summary.nlmixr.mmkin
+      - summary.saem.mmkin
       - nlme_function
       - get_deg_func
+      - saemix_model
       - mixed
+      - intervals
+      - intervals.saem.mmkin
+      - intervals.nlmixr.mmkin
   - title: Datasets and known results
     contents:
       - focus_soil_moisture
@@ -82,12 +90,14 @@ reference:
       - mkinpredict
       - transform_odeparms
       - ilr
+      - tffm0
       - logLik.mkinfit
       - residuals.mkinfit
       - nobs.mkinfit
       - mkinresplot
       - mkinparplot
       - mkinerrplot
+      - mean_degparms
       - create_deg_func
   - title: Analytical solutions
     desc: Parent only model solutions
diff --git a/build.log b/build.log
index 13f76240..c88520ce 100644
--- a/build.log
+++ b/build.log
@@ -6,5 +6,5 @@
 * creating vignettes ... OK
 * checking for LF line-endings in source and make files and shell scripts
 * checking for empty or unneeded directories
-* building ‘mkin_1.0.5.tar.gz’
+* building ‘mkin_1.1.0.tar.gz’
 
diff --git a/check.log b/check.log
index 33cb3a0e..5acb6a4d 100644
--- a/check.log
+++ b/check.log
@@ -5,7 +5,7 @@
 * using options ‘--no-tests --as-cran’
 * checking for file ‘mkin/DESCRIPTION’ ... OK
 * checking extension type ... Package
-* this is package ‘mkin’ version ‘1.0.5’
+* this is package ‘mkin’ version ‘1.1.0’
 * package encoding: UTF-8
 * checking CRAN incoming feasibility ... Note_to_CRAN_maintainers
 Maintainer: ‘Johannes Ranke <jranke@uni-bremen.de>’
diff --git a/docs/dev/404.html b/docs/dev/404.html
index bea38406..38898979 100644
--- a/docs/dev/404.html
+++ b/docs/dev/404.html
@@ -71,7 +71,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="https://pkgdown.jrwb.de/mkin/index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
diff --git a/docs/dev/articles/FOCUS_D.html b/docs/dev/articles/FOCUS_D.html
index dd86f677..a35a255a 100644
--- a/docs/dev/articles/FOCUS_D.html
+++ b/docs/dev/articles/FOCUS_D.html
@@ -32,7 +32,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -81,7 +81,7 @@
 <ul class="nav navbar-nav navbar-right">
 <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -95,14 +95,13 @@
 
       
 
-      </header><link href="FOCUS_D_files/anchor-sections-1.0/anchor-sections.css" rel="stylesheet">
-<script src="FOCUS_D_files/anchor-sections-1.0/anchor-sections.js"></script><div class="row">
+      </header><script src="FOCUS_D_files/header-attrs-2.6/header-attrs.js"></script><script src="FOCUS_D_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Example evaluation of FOCUS Example Dataset D</h1>
                         <h4 class="author">Johannes Ranke</h4>
             
-            <h4 class="date">2020-11-30</h4>
+            <h4 class="date">Last change 31 January 2019 (rebuilt 2021-02-15)</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/FOCUS_D.rmd"><code>vignettes/FOCUS_D.rmd</code></a></small>
       <div class="hidden name"><code>FOCUS_D.rmd</code></div>
@@ -187,10 +186,10 @@
 <p>A comprehensive report of the results is obtained using the <code>summary</code> method for <code>mkinfit</code> objects.</p>
 <div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    0.9.50.4 
+<pre><code>## mkin version used for fitting:    1.0.3.9000 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Nov 30 16:01:50 2020 
-## Date of summary: Mon Nov 30 16:01:50 2020 
+## Date of fit:     Mon Feb 15 17:13:36 2021 
+## Date of summary: Mon Feb 15 17:13:37 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
@@ -241,11 +240,11 @@
 ## 
 ## Parameter correlation:
 ##                   parent_0 log_k_parent   log_k_m1 f_parent_qlogis      sigma
-## parent_0         1.000e+00    5.174e-01 -1.688e-01      -5.471e-01 -1.171e-06
-## log_k_parent     5.174e-01    1.000e+00 -3.263e-01      -5.426e-01 -8.481e-07
-## log_k_m1        -1.688e-01   -3.263e-01  1.000e+00       7.478e-01  8.209e-07
+## parent_0         1.000e+00    5.174e-01 -1.688e-01      -5.471e-01 -1.172e-06
+## log_k_parent     5.174e-01    1.000e+00 -3.263e-01      -5.426e-01 -8.483e-07
+## log_k_m1        -1.688e-01   -3.263e-01  1.000e+00       7.478e-01  8.205e-07
 ## f_parent_qlogis -5.471e-01   -5.426e-01  7.478e-01       1.000e+00  1.305e-06
-## sigma           -1.171e-06   -8.481e-07  8.209e-07       1.305e-06  1.000e+00
+## sigma           -1.172e-06   -8.483e-07  8.205e-07       1.305e-06  1.000e+00
 ## 
 ## Backtransformed parameters:
 ## Confidence intervals for internally transformed parameters are asymmetric.
diff --git a/docs/dev/articles/FOCUS_D_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/FOCUS_D_files/accessible-code-block-0.0.1/empty-anchor.js
new file mode 100644
index 00000000..ca349fd6
--- /dev/null
+++ b/docs/dev/articles/FOCUS_D_files/accessible-code-block-0.0.1/empty-anchor.js
@@ -0,0 +1,15 @@
+// Hide empty <a> tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) -->
+// v0.0.1
+// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020.
+
+document.addEventListener('DOMContentLoaded', function() {
+  const codeList = document.getElementsByClassName("sourceCode");
+  for (var i = 0; i < codeList.length; i++) {
+    var linkList = codeList[i].getElementsByTagName('a');
+    for (var j = 0; j < linkList.length; j++) {
+      if (linkList[j].innerHTML === "") {
+        linkList[j].setAttribute('aria-hidden', 'true');
+      }
+    }
+  }
+});
diff --git a/docs/dev/articles/FOCUS_D_files/figure-html/plot-1.png b/docs/dev/articles/FOCUS_D_files/figure-html/plot-1.png
index 8ddca415..abf26715 100644
--- a/docs/dev/articles/FOCUS_D_files/figure-html/plot-1.png
+++ b/docs/dev/articles/FOCUS_D_files/figure-html/plot-1.png
diff --git a/docs/dev/articles/FOCUS_D_files/header-attrs-2.6/header-attrs.js b/docs/dev/articles/FOCUS_D_files/header-attrs-2.6/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/dev/articles/FOCUS_D_files/header-attrs-2.6/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/dev/articles/FOCUS_L.html b/docs/dev/articles/FOCUS_L.html
index 2695db5e..547ec630 100644
--- a/docs/dev/articles/FOCUS_L.html
+++ b/docs/dev/articles/FOCUS_L.html
@@ -32,7 +32,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -81,7 +81,7 @@
 <ul class="nav navbar-nav navbar-right">
 <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -95,14 +95,13 @@
 
       
 
-      </header><link href="FOCUS_L_files/anchor-sections-1.0/anchor-sections.css" rel="stylesheet">
-<script src="FOCUS_L_files/anchor-sections-1.0/anchor-sections.js"></script><div class="row">
+      </header><script src="FOCUS_L_files/header-attrs-2.6/header-attrs.js"></script><script src="FOCUS_L_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Example evaluation of FOCUS Laboratory Data L1 to L3</h1>
                         <h4 class="author">Johannes Ranke</h4>
             
-            <h4 class="date">2020-11-30</h4>
+            <h4 class="date">Last change 17 November 2016 (rebuilt 2021-02-15)</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/FOCUS_L.rmd"><code>vignettes/FOCUS_L.rmd</code></a></small>
       <div class="hidden name"><code>FOCUS_L.rmd</code></div>
@@ -128,10 +127,10 @@
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">m.L1.SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="va">FOCUS_2006_L1_mkin</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
 <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">m.L1.SFO</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    0.9.50.4 
+<pre><code>## mkin version used for fitting:    1.0.3.9000 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Nov 30 16:01:52 2020 
-## Date of summary: Mon Nov 30 16:01:52 2020 
+## Date of fit:     Mon Feb 15 17:13:39 2021 
+## Date of summary: Mon Feb 15 17:13:39 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
@@ -234,17 +233,17 @@
 <pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
 <pre><code>## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is
 ## doubtful</code></pre>
-<pre><code>## mkin version used for fitting:    0.9.50.4 
+<pre><code>## mkin version used for fitting:    1.0.3.9000 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Nov 30 16:01:53 2020 
-## Date of summary: Mon Nov 30 16:01:53 2020 
+## Date of fit:     Mon Feb 15 17:13:40 2021 
+## Date of summary: Mon Feb 15 17:13:40 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 380 model solutions performed in 0.087 s
+## Fitted using 369 model solutions performed in 0.084 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -272,22 +271,22 @@
 ## 
 ## Results:
 ## 
-##        AIC      BIC    logLik
-##   95.88778 99.44927 -43.94389
+##        AIC      BIC   logLik
+##   95.88781 99.44929 -43.9439
 ## 
 ## Optimised, transformed parameters with symmetric confidence intervals:
 ##           Estimate Std. Error  Lower  Upper
 ## parent_0     92.47     1.2820 89.720 95.220
-## log_alpha    16.92        NaN    NaN    NaN
-## log_beta     19.26        NaN    NaN    NaN
-## sigma         2.78     0.4501  1.814  3.745
+## log_alpha    13.78        NaN    NaN    NaN
+## log_beta     16.13        NaN    NaN    NaN
+## sigma         2.78     0.4598  1.794  3.766
 ## 
 ## Parameter correlation:
-##           parent_0 log_alpha log_beta    sigma
-## parent_0  1.000000       NaN      NaN 0.002218
-## log_alpha      NaN         1      NaN      NaN
-## log_beta       NaN       NaN        1      NaN
-## sigma     0.002218       NaN      NaN 1.000000
+##            parent_0 log_alpha log_beta     sigma
+## parent_0  1.0000000       NaN      NaN 0.0001671
+## log_alpha       NaN         1      NaN       NaN
+## log_beta        NaN       NaN        1       NaN
+## sigma     0.0001671       NaN      NaN 1.0000000
 ## 
 ## Backtransformed parameters:
 ## Confidence intervals for internally transformed parameters are asymmetric.
@@ -295,9 +294,9 @@
 ## for estimators of untransformed parameters.
 ##           Estimate t value Pr(&gt;t)  Lower  Upper
 ## parent_0 9.247e+01      NA     NA 89.720 95.220
-## alpha    2.223e+07      NA     NA     NA     NA
-## beta     2.325e+08      NA     NA     NA     NA
-## sigma    2.780e+00      NA     NA  1.814  3.745
+## alpha    9.658e+05      NA     NA     NA     NA
+## beta     1.010e+07      NA     NA     NA     NA
+## sigma    2.780e+00      NA     NA  1.794  3.766
 ## 
 ## FOCUS Chi2 error levels in percent:
 ##          err.min n.optim df
@@ -346,10 +345,10 @@
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-9-1.png" width="672"></p>
 <div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">m.L2.FOMC</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    0.9.50.4 
+<pre><code>## mkin version used for fitting:    1.0.3.9000 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Nov 30 16:01:54 2020 
-## Date of summary: Mon Nov 30 16:01:54 2020 
+## Date of fit:     Mon Feb 15 17:13:40 2021 
+## Date of summary: Mon Feb 15 17:13:40 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
@@ -391,10 +390,10 @@
 ## 
 ## Parameter correlation:
 ##             parent_0  log_alpha   log_beta      sigma
-## parent_0   1.000e+00 -1.151e-01 -2.085e-01 -7.436e-09
-## log_alpha -1.151e-01  1.000e+00  9.741e-01 -1.617e-07
-## log_beta  -2.085e-01  9.741e-01  1.000e+00 -1.386e-07
-## sigma     -7.436e-09 -1.617e-07 -1.386e-07  1.000e+00
+## parent_0   1.000e+00 -1.151e-01 -2.085e-01 -7.828e-09
+## log_alpha -1.151e-01  1.000e+00  9.741e-01 -1.602e-07
+## log_beta  -2.085e-01  9.741e-01  1.000e+00 -1.372e-07
+## sigma     -7.828e-09 -1.602e-07 -1.372e-07  1.000e+00
 ## 
 ## Backtransformed parameters:
 ## Confidence intervals for internally transformed parameters are asymmetric.
@@ -427,10 +426,10 @@
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-10-1.png" width="672"></p>
 <div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">m.L2.DFOP</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    0.9.50.4 
+<pre><code>## mkin version used for fitting:    1.0.3.9000 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Nov 30 16:01:54 2020 
-## Date of summary: Mon Nov 30 16:01:54 2020 
+## Date of fit:     Mon Feb 15 17:13:41 2021 
+## Date of summary: Mon Feb 15 17:13:41 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -439,7 +438,7 @@
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 581 model solutions performed in 0.136 s
+## Fitted using 581 model solutions performed in 0.134 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -470,18 +469,18 @@
 ## Optimised, transformed parameters with symmetric confidence intervals:
 ##          Estimate Std. Error      Lower     Upper
 ## parent_0   93.950  9.998e-01    91.5900   96.3100
-## log_k1      3.117  1.929e+03 -4558.0000 4564.0000
+## log_k1      3.112  1.842e+03 -4353.0000 4359.0000
 ## log_k2     -1.088  6.285e-02    -1.2370   -0.9394
 ## g_qlogis   -0.399  9.946e-02    -0.6342   -0.1638
 ## sigma       1.414  2.886e-01     0.7314    2.0960
 ## 
 ## Parameter correlation:
-##           parent_0     log_k1     log_k2   g_qlogis      sigma
-## parent_0 1.000e+00  6.459e-07  9.147e-11  2.665e-01  8.413e-11
-## log_k1   6.459e-07  1.000e+00  1.061e-04 -2.087e-04 -9.802e-06
-## log_k2   9.147e-11  1.061e-04  1.000e+00 -7.903e-01 -2.429e-09
-## g_qlogis 2.665e-01 -2.087e-04 -7.903e-01  1.000e+00  4.049e-09
-## sigma    8.413e-11 -9.802e-06 -2.429e-09  4.049e-09  1.000e+00
+##            parent_0     log_k1     log_k2   g_qlogis      sigma
+## parent_0  1.000e+00  6.783e-07 -3.390e-10  2.665e-01 -2.967e-10
+## log_k1    6.783e-07  1.000e+00  1.116e-04 -2.196e-04 -1.031e-05
+## log_k2   -3.390e-10  1.116e-04  1.000e+00 -7.903e-01  2.917e-09
+## g_qlogis  2.665e-01 -2.196e-04 -7.903e-01  1.000e+00 -4.408e-09
+## sigma    -2.967e-10 -1.031e-05  2.917e-09 -4.408e-09  1.000e+00
 ## 
 ## Backtransformed parameters:
 ## Confidence intervals for internally transformed parameters are asymmetric.
@@ -489,7 +488,7 @@
 ## for estimators of untransformed parameters.
 ##          Estimate   t value    Pr(&gt;t)   Lower   Upper
 ## parent_0  93.9500 9.397e+01 2.036e-12 91.5900 96.3100
-## k1        22.5800 5.303e-04 4.998e-01  0.0000     Inf
+## k1        22.4800 5.553e-04 4.998e-01  0.0000     Inf
 ## k2         0.3369 1.591e+01 4.697e-07  0.2904  0.3909
 ## g          0.4016 1.680e+01 3.238e-07  0.3466  0.4591
 ## sigma      1.4140 4.899e+00 8.776e-04  0.7314  2.0960
@@ -501,7 +500,7 @@
 ## 
 ## Estimated disappearance times:
 ##          DT50  DT90 DT50back DT50_k1 DT50_k2
-## parent 0.5335 5.311    1.599  0.0307   2.058</code></pre>
+## parent 0.5335 5.311    1.599 0.03084   2.058</code></pre>
 <p>Here, the DFOP model is clearly the best-fit model for dataset L2 based on the chi^2 error level criterion. However, the failure to calculate the covariance matrix indicates that the parameter estimates correlate excessively. Therefore, the FOMC model may be preferred for this dataset.</p>
 </div>
 </div>
@@ -533,10 +532,10 @@
 <p>We can extract the summary and plot for <em>e.g.</em> the DFOP fit, using square brackets for indexing which will result in the use of the summary and plot functions working on mkinfit objects.</p>
 <div class="sourceCode" id="cb24"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">mm.L3</span><span class="op">[[</span><span class="st">"DFOP"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    0.9.50.4 
+<pre><code>## mkin version used for fitting:    1.0.3.9000 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Nov 30 16:01:55 2020 
-## Date of summary: Mon Nov 30 16:01:55 2020 
+## Date of fit:     Mon Feb 15 17:13:41 2021 
+## Date of summary: Mon Feb 15 17:13:42 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -545,7 +544,7 @@
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 376 model solutions performed in 0.081 s
+## Fitted using 376 model solutions performed in 0.082 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -583,11 +582,11 @@
 ## 
 ## Parameter correlation:
 ##            parent_0     log_k1     log_k2   g_qlogis      sigma
-## parent_0  1.000e+00  1.732e-01  2.282e-02  4.009e-01 -9.671e-08
-## log_k1    1.732e-01  1.000e+00  4.945e-01 -5.809e-01  7.148e-07
+## parent_0  1.000e+00  1.732e-01  2.282e-02  4.009e-01 -9.664e-08
+## log_k1    1.732e-01  1.000e+00  4.945e-01 -5.809e-01  7.147e-07
 ## log_k2    2.282e-02  4.945e-01  1.000e+00 -6.812e-01  1.022e-06
-## g_qlogis  4.009e-01 -5.809e-01 -6.812e-01  1.000e+00 -7.929e-07
-## sigma    -9.671e-08  7.148e-07  1.022e-06 -7.929e-07  1.000e+00
+## g_qlogis  4.009e-01 -5.809e-01 -6.812e-01  1.000e+00 -7.926e-07
+## sigma    -9.664e-08  7.147e-07  1.022e-06 -7.926e-07  1.000e+00
 ## 
 ## Backtransformed parameters:
 ## Confidence intervals for internally transformed parameters are asymmetric.
@@ -646,10 +645,10 @@
 <p>The <span class="math inline">\(\chi^2\)</span> error level of 3.3% as well as the plot suggest that the SFO model fits very well. The error level at which the <span class="math inline">\(\chi^2\)</span> test passes is slightly lower for the FOMC model. However, the difference appears negligible.</p>
 <div class="sourceCode" id="cb29"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">mm.L4</span><span class="op">[[</span><span class="st">"SFO"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    0.9.50.4 
+<pre><code>## mkin version used for fitting:    1.0.3.9000 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Nov 30 16:01:55 2020 
-## Date of summary: Mon Nov 30 16:01:55 2020 
+## Date of fit:     Mon Feb 15 17:13:42 2021 
+## Date of summary: Mon Feb 15 17:13:42 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
@@ -711,17 +710,17 @@
 ## parent  106  352</code></pre>
 <div class="sourceCode" id="cb31"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">mm.L4</span><span class="op">[[</span><span class="st">"FOMC"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    0.9.50.4 
+<pre><code>## mkin version used for fitting:    1.0.3.9000 
 ## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Nov 30 16:01:55 2020 
-## Date of summary: Mon Nov 30 16:01:56 2020 
+## Date of fit:     Mon Feb 15 17:13:42 2021 
+## Date of summary: Mon Feb 15 17:13:42 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 224 model solutions performed in 0.045 s
+## Fitted using 224 model solutions performed in 0.046 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -756,10 +755,10 @@
 ## 
 ## Parameter correlation:
 ##             parent_0  log_alpha   log_beta      sigma
-## parent_0   1.000e+00 -4.696e-01 -5.543e-01 -2.456e-07
-## log_alpha -4.696e-01  1.000e+00  9.889e-01  2.169e-08
-## log_beta  -5.543e-01  9.889e-01  1.000e+00  4.910e-08
-## sigma     -2.456e-07  2.169e-08  4.910e-08  1.000e+00
+## parent_0   1.000e+00 -4.696e-01 -5.543e-01 -2.468e-07
+## log_alpha -4.696e-01  1.000e+00  9.889e-01  2.478e-08
+## log_beta  -5.543e-01  9.889e-01  1.000e+00  5.211e-08
+## sigma     -2.468e-07  2.478e-08  5.211e-08  1.000e+00
 ## 
 ## Backtransformed parameters:
 ## Confidence intervals for internally transformed parameters are asymmetric.
@@ -783,7 +782,7 @@
 <div id="references" class="section level1 unnumbered">
 <h1 class="hasAnchor">
 <a href="#references" class="anchor"></a>References</h1>
-<div id="refs" class="references">
+<div id="refs" class="references hanging-indent">
 <div id="ref-ranke2014">
 <p>Ranke, Johannes. 2014. “Prüfung und Validierung von Modellierungssoftware als Alternative zu ModelMaker 4.0.” Umweltbundesamt Projektnummer 27452.</p>
 </div>
diff --git a/docs/dev/articles/FOCUS_L_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/FOCUS_L_files/accessible-code-block-0.0.1/empty-anchor.js
new file mode 100644
index 00000000..ca349fd6
--- /dev/null
+++ b/docs/dev/articles/FOCUS_L_files/accessible-code-block-0.0.1/empty-anchor.js
@@ -0,0 +1,15 @@
+// Hide empty <a> tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) -->
+// v0.0.1
+// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020.
+
+document.addEventListener('DOMContentLoaded', function() {
+  const codeList = document.getElementsByClassName("sourceCode");
+  for (var i = 0; i < codeList.length; i++) {
+    var linkList = codeList[i].getElementsByTagName('a');
+    for (var j = 0; j < linkList.length; j++) {
+      if (linkList[j].innerHTML === "") {
+        linkList[j].setAttribute('aria-hidden', 'true');
+      }
+    }
+  }
+});
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-10-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-10-1.png
index 811c800e..e9c0b0a0 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-10-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-10-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-12-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-12-1.png
index 4c02b097..3e03954d 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-12-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-12-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-13-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-13-1.png
index 1aa97f8c..8c9e8fd4 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-13-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-13-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-15-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-15-1.png
index 36e862f6..b3aa8334 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-15-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-15-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-4-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-4-1.png
index 68b24b5e..477829a5 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-4-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-4-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png
index 53e33b68..c0e08884 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-8-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-8-1.png
index 47d5b335..310b4f3b 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-8-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-8-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-9-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-9-1.png
index f644c299..570f0026 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-9-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-9-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/header-attrs-2.6/header-attrs.js b/docs/dev/articles/FOCUS_L_files/header-attrs-2.6/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/dev/articles/FOCUS_L_files/header-attrs-2.6/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/dev/articles/index.html b/docs/dev/articles/index.html
index 6daa6960..c0338df8 100644
--- a/docs/dev/articles/index.html
+++ b/docs/dev/articles/index.html
@@ -71,7 +71,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -161,6 +161,8 @@
         <dd></dt>
         <dt><a href="web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a></dt>
         <dd></dt>
+        <dt><a href="web_only/dimethenamid_2018.html">Example evaluations of the dimethenamid data from 2018</a></dt>
+        <dd></dt>
       </dl>
     </div>
   </div>
diff --git a/docs/dev/articles/mkin.html b/docs/dev/articles/mkin.html
index 2de8b9f0..fed85a33 100644
--- a/docs/dev/articles/mkin.html
+++ b/docs/dev/articles/mkin.html
@@ -32,7 +32,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -81,7 +81,7 @@
 <ul class="nav navbar-nav navbar-right">
 <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -95,14 +95,13 @@
 
       
 
-      </header><link href="mkin_files/anchor-sections-1.0/anchor-sections.css" rel="stylesheet">
-<script src="mkin_files/anchor-sections-1.0/anchor-sections.js"></script><div class="row">
+      </header><script src="mkin_files/header-attrs-2.6/header-attrs.js"></script><script src="mkin_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Introduction to mkin</h1>
                         <h4 class="author">Johannes Ranke</h4>
             
-            <h4 class="date">2020-11-30</h4>
+            <h4 class="date">Last change 15 February 2021 (rebuilt 2021-02-15)</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/mkin.rmd"><code>vignettes/mkin.rmd</code></a></small>
       <div class="hidden name"><code>mkin.rmd</code></div>
@@ -150,28 +149,34 @@
 <div id="background" class="section level1">
 <h1 class="hasAnchor">
 <a href="#background" class="anchor"></a>Background</h1>
-<p>Many approaches are possible regarding the evaluation of chemical degradation data.</p>
-<p>The <code>mkin</code> package <span class="citation">(Ranke 2019)</span> implements the approach recommended in the kinetics report provided by the FOrum for Co-ordination of pesticide fate models and their USe <span class="citation">(FOCUS Work Group on Degradation Kinetics 2006, 2014)</span> for simple decline data series, data series with transformation products, commonly termed metabolites, and for data series for more than one compartment. It is also possible to include back reactions, so equilibrium reactions and equilibrium partitioning can be specified, although this oftentimes leads to an overparameterisation of the model.</p>
+<p>The <code>mkin</code> package <span class="citation">(Ranke 2021)</span> implements the approach to degradation kinetics recommended in the kinetics report provided by the FOrum for Co-ordination of pesticide fate models and their USe <span class="citation">(FOCUS Work Group on Degradation Kinetics 2006, 2014)</span>. It covers data series describing the decline of one compound, data series with transformation products (commonly termed metabolites) and data series for more than one compartment. It is possible to include back reactions. Therefore, equilibrium reactions and equilibrium partitioning can be specified, although this often leads to an overparameterisation of the model.</p>
 <p>When the first <code>mkin</code> code was published in 2010, the most commonly used tools for fitting more complex kinetic degradation models to experimental data were KinGUI <span class="citation">(Schäfer et al. 2007)</span>, a MATLAB based tool with a graphical user interface that was specifically tailored to the task and included some output as proposed by the FOCUS Kinetics Workgroup, and ModelMaker, a general purpose compartment based tool providing infrastructure for fitting dynamic simulation models based on differential equations to data.</p>
-<p>The code was first uploaded to the BerliOS platform. When this was taken down, the version control history was imported into the R-Forge site (see <em>e.g.</em> <a href="https://cgit.jrwb.de/mkin/commit/?id=30cbb4092f6d2d3beff5800603374a0d009ad770">the initial commit on 11 May 2010</a>), where the code is still occasionally updated.</p>
-<p>At that time, the R package <code>FME</code> (Flexible Modelling Environment) <span class="citation">(Soetaert and Petzoldt 2010)</span> was already available, and provided a good basis for developing a package specifically tailored to the task. The remaining challenge was to make it as easy as possible for the users (including the author of this vignette) to specify the system of differential equations and to include the output requested by the FOCUS guidance, such as the relative standard deviation that has to be assumed for the residuals, such that the <span class="math inline">\(\chi^2\)</span> goodness-of-fit test as defined by the FOCUS kinetics workgroup would pass using an significance level <span class="math inline">\(\alpha\)</span> of 0.05. This relative error, expressed as a percentage, is often termed <span class="math inline">\(\chi^2\)</span> error level or similar.</p>
-<p>Also, <code>mkin</code> introduced using analytical solutions for parent only kinetics for improved optimization speed. Later, Eigenvalue based solutions were introduced to <code>mkin</code> for the case of linear differential equations (<em>i.e.</em> where the FOMC or DFOP models were not used for the parent compound), greatly improving the optimization speed for these cases. This, however, has become somehow obsolete, as the use of compiled code described below gives even smaller execution times.</p>
+<p>The ‘mkin’ code was first uploaded to the BerliOS development platform. When this was taken down, the version control history was imported into the R-Forge site (see <em>e.g.</em> <a href="https://cgit.jrwb.de/mkin/commit/?id=30cbb4092f6d2d3beff5800603374a0d009ad770">the initial commit on 11 May 2010</a>), where the code is still being updated.</p>
+<p>At that time, the R package <code>FME</code> (Flexible Modelling Environment) <span class="citation">(Soetaert and Petzoldt 2010)</span> was already available, and provided a good basis for developing a package specifically tailored to the task. The remaining challenge was to make it as easy as possible for the users (including the author of this vignette) to specify the system of differential equations and to include the output requested by the FOCUS guidance, such as the <span class="math inline">\(\chi^2\)</span> error level as defined in this guidance.</p>
+<p>Also, <code>mkin</code> introduced using analytical solutions for parent only kinetics for improved optimization speed. Later, Eigenvalue based solutions were introduced to <code>mkin</code> for the case of linear differential equations (<em>i.e.</em> where the FOMC or DFOP models were not used for the parent compound), greatly improving the optimization speed for these cases. This, has become somehow obsolete, as the use of compiled code described below gives even faster execution times.</p>
 <p>The possibility to specify back-reactions and a biphasic model (SFORB) for metabolites were present in <code>mkin</code> from the very beginning.</p>
 <div id="derived-software-tools" class="section level2">
 <h2 class="hasAnchor">
 <a href="#derived-software-tools" class="anchor"></a>Derived software tools</h2>
-<p>Soon after the publication of <code>mkin</code>, two derived tools were published, namely KinGUII (available from Bayer Crop Science) and CAKE (commissioned to Tessella by Syngenta), which added a graphical user interface (GUI), and added fitting by iteratively reweighted least squares (IRLS) and characterisation of likely parameter distributions by Markov Chain Monte Carlo (MCMC) sampling.</p>
-<p>CAKE focuses on a smooth use experience, sacrificing some flexibility in the model definition, originally allowing only two primary metabolites in parallel. The current version 3.3 of CAKE release in March 2016 uses a basic scheme for up to six metabolites in a flexible arrangement, but does not support back-reactions (non-instantaneous equilibria) or biphasic kinetics for metabolites.</p>
+<p>Soon after the publication of <code>mkin</code>, two derived tools were published, namely KinGUII (developed at Bayer Crop Science) and CAKE (commissioned to Tessella by Syngenta), which added a graphical user interface (GUI), and added fitting by iteratively reweighted least squares (IRLS) and characterisation of likely parameter distributions by Markov Chain Monte Carlo (MCMC) sampling.</p>
+<p>CAKE focuses on a smooth use experience, sacrificing some flexibility in the model definition, originally allowing only two primary metabolites in parallel. The current version 3.4 of CAKE released in May 2020 uses a scheme for up to six metabolites in a flexible arrangement and supports biphasic modelling of metabolites, but does not support back-reactions (non-instantaneous equilibria).</p>
 <p>KinGUI offers an even more flexible widget for specifying complex kinetic models. Back-reactions (non-instantaneous equilibria) were supported early on, but until 2014, only simple first-order models could be specified for transformation products. Starting with KinGUII version 2.1, biphasic modelling of metabolites was also available in KinGUII.</p>
 <p>A further graphical user interface (GUI) that has recently been brought to a decent degree of maturity is the browser based GUI named <code>gmkin</code>. Please see its <a href="https://pkgdown.jrwb.de/gmkin/">documentation page</a> and <a href="https://pkgdown.jrwb.de/gmkin/articles/gmkin_manual.html">manual</a> for further information.</p>
 <p>A comparison of scope, usability and numerical results obtained with these tools has been recently been published by <span class="citation">Ranke, Wöltjen, and Meinecke (2018)</span>.</p>
 </div>
-<div id="recent-developments" class="section level2">
-<h2 class="hasAnchor">
-<a href="#recent-developments" class="anchor"></a>Recent developments</h2>
-<p>Currently (July 2019), the main features available in <code>mkin</code> which are not present in KinGUII or CAKE, are the speed increase by using compiled code when a compiler is present, parallel model fitting on multicore machines using the <code>mmkin</code> function, and the estimation of parameter confidence intervals based on transformed parameters.</p>
-<p>In addition, the possibility to use two alternative error models to constant variance have been integrated. The variance by variable error model introduced by <span class="citation">Gao et al. (2011)</span> has been available via an iteratively reweighted least squares (IRLS) procedure since mkin <a href="https://pkgdown.jrwb.de/mkin/news/index.html#mkin-0-9-22-2013-10-26">version 0.9-22</a>. With <a href="https://pkgdown.jrwb.de/mkin/news/index.html#mkin-0-9-49-5-2019-07-04">release 0.9.49.5</a>, the IRLS algorithm has been replaced by direct or step-wise maximisation of the likelihood function, which makes it possible not only to fit the variance by variable error model but also a <a href="https://pkgdown.jrwb.de/mkin/reference/sigma_twocomp.html">two-component error model</a> inspired by error models developed in analytical chemistry.</p>
 </div>
+<div id="unique-features" class="section level1">
+<h1 class="hasAnchor">
+<a href="#unique-features" class="anchor"></a>Unique features</h1>
+<p>Currently, the main unique features available in <code>mkin</code> are</p>
+<ul>
+<li>the <a href="https://pkgdown.jrwb.de/mkin/articles/web_only/compiled_models.html">speed increase</a> by using compiled code when a compiler is present,</li>
+<li>parallel model fitting on multicore machines using the <a href="https://pkgdown.jrwb.de/mkin/reference/mmkin.html"><code>mmkin</code> function</a>,</li>
+<li>the estimation of parameter confidence intervals based on transformed parameters (see below) and</li>
+<li>the possibility to use the <a href="https://pkgdown.jrwb.de/mkin/reference/sigma_twocomp.html">two-component error model</a>
+</li>
+</ul>
+<p>The iteratively reweighted least squares fitting of different variances for each variable as introduced by <span class="citation">Gao et al. (2011)</span> has been available in mkin since <a href="https://pkgdown.jrwb.de/mkin/news/index.html#mkin-0-9-22-2013-10-26">version 0.9-22</a>. With <a href="https://pkgdown.jrwb.de/mkin/news/index.html#mkin-0-9-49-5-2019-07-04">release 0.9.49.5</a>, the IRLS algorithm has been complemented by direct or step-wise maximisation of the likelihood function, which makes it possible not only to fit the variance by variable error model but also a <a href="https://pkgdown.jrwb.de/mkin/reference/sigma_twocomp.html">two-component error model</a> inspired by error models developed in analytical chemistry <span class="citation">(Ranke and Meinecke 2019)</span>.</p>
 </div>
 <div id="internal-parameter-transformations" class="section level1">
 <h1 class="hasAnchor">
@@ -179,13 +184,13 @@
 <p>For rate constants, the log transformation is used, as proposed by Bates and Watts <span class="citation">(1988, 77, 149)</span>. Approximate intervals are constructed for the transformed rate constants <span class="citation">(compare Bates and Watts 1988, 135)</span>, <em>i.e.</em> for their logarithms. Confidence intervals for the rate constants are then obtained using the appropriate backtransformation using the exponential function.</p>
 <p>In the first version of <code>mkin</code> allowing for specifying models using formation fractions, a home-made reparameterisation was used in order to ensure that the sum of formation fractions would not exceed unity.</p>
 <p>This method is still used in the current version of KinGUII (v2.1 from April 2014), with a modification that allows for fixing the pathway to sink to zero. CAKE uses penalties in the objective function in order to enforce this constraint.</p>
-<p>In 2012, an alternative reparameterisation of the formation fractions was proposed together with René Lehmann <span class="citation">(Ranke and Lehmann 2012)</span>, based on isometric logratio transformation (ILR). The aim was to improve the validity of the linear approximation of the objective function during the parameter estimation procedure as well as in the subsequent calculation of parameter confidence intervals.</p>
+<p>In 2012, an alternative reparameterisation of the formation fractions was proposed together with René Lehmann <span class="citation">(Ranke and Lehmann 2012)</span>, based on isometric logratio transformation (ILR). The aim was to improve the validity of the linear approximation of the objective function during the parameter estimation procedure as well as in the subsequent calculation of parameter confidence intervals. In the current version of mkin, a logit transformation is used for parameters that are bound between 0 and 1, such as the g parameter of the DFOP model.</p>
 <div id="confidence-intervals-based-on-transformed-parameters" class="section level2">
 <h2 class="hasAnchor">
 <a href="#confidence-intervals-based-on-transformed-parameters" class="anchor"></a>Confidence intervals based on transformed parameters</h2>
 <p>In the first attempt at providing improved parameter confidence intervals introduced to <code>mkin</code> in 2013, confidence intervals obtained from FME on the transformed parameters were simply all backtransformed one by one to yield asymmetric confidence intervals for the backtransformed parameters.</p>
 <p>However, while there is a 1:1 relation between the rate constants in the model and the transformed parameters fitted in the model, the parameters obtained by the isometric logratio transformation are calculated from the set of formation fractions that quantify the paths to each of the compounds formed from a specific parent compound, and no such 1:1 relation exists.</p>
-<p>Therefore, parameter confidence intervals for formation fractions obtained with this method only appear valid for the case of a single transformation product, where only one formation fraction is to be estimated, directly corresponding to one component of the ilr transformed parameter.</p>
+<p>Therefore, parameter confidence intervals for formation fractions obtained with this method only appear valid for the case of a single transformation product, where currently the logit transformation is used for the formation fraction.</p>
 <p>The confidence intervals obtained by backtransformation for the cases where a 1:1 relation between transformed and original parameter exist are considered by the author of this vignette to be more accurate than those obtained using a re-estimation of the Hessian matrix after backtransformation, as implemented in the FME package.</p>
 </div>
 <div id="parameter-t-test-based-on-untransformed-parameters" class="section level2">
@@ -200,36 +205,39 @@
 <h1 class="hasAnchor">
 <a href="#references" class="anchor"></a>References</h1>
 <!-- vim: set foldmethod=syntax: -->
-<div id="refs" class="references">
+<div id="refs" class="references hanging-indent">
 <div id="ref-bates1988">
 <p>Bates, D., and D. Watts. 1988. <em>Nonlinear Regression and Its Applications</em>. Wiley-Interscience.</p>
 </div>
 <div id="ref-FOCUS2006">
-<p>FOCUS Work Group on Degradation Kinetics. 2006. <em>Guidance Document on Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration. Report of the Focus Work Group on Degradation Kinetics</em>. <a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics" class="uri">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a>.</p>
+<p>FOCUS Work Group on Degradation Kinetics. 2006. <em>Guidance Document on Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration. Report of the Focus Work Group on Degradation Kinetics</em>. <a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a>.</p>
 </div>
 <div id="ref-FOCUSkinetics2014">
-<p>———. 2014. <em>Generic Guidance for Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration</em>. 1.1 ed. <a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics" class="uri">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a>.</p>
+<p>———. 2014. <em>Generic Guidance for Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration</em>. 1.1 ed. <a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a>.</p>
 </div>
 <div id="ref-gao11">
-<p>Gao, Z., J.W. Green, J. Vanderborght, and W. Schmitt. 2011. “Improving Uncertainty Analysis in Kinetic Evaluations Using Iteratively Reweighted Least Squares.” Journal. <em>Environmental Science and Technology</em> 45: 4429–37.</p>
+<p>Gao, Z., J. W. Green, J. Vanderborght, and W. Schmitt. 2011. “Improving Uncertainty Analysis in Kinetic Evaluations Using Iteratively Reweighted Least Squares.” Journal. <em>Environmental Science and Technology</em> 45: 4429–37.</p>
 </div>
 <div id="ref-pkg:mkin">
-<p>Ranke, J. 2019. <em>‘mkin‘: Kinetic Evaluation of Chemical Degradation Data</em>. <a href="https://CRAN.R-project.org/package=mkin" class="uri">https://CRAN.R-project.org/package=mkin</a>.</p>
+<p>Ranke, J. 2021. <em>‘mkin‘: Kinetic Evaluation of Chemical Degradation Data</em>. <a href="https://CRAN.R-project.org/package=mkin">https://CRAN.R-project.org/package=mkin</a>.</p>
 </div>
 <div id="ref-ranke2012">
 <p>Ranke, J., and R. Lehmann. 2012. “Parameter Reliability in Kinetic Evaluation of Environmental Metabolism Data - Assessment and the Influence of Model Specification.” In <em>SETAC World 20-24 May</em>. Berlin.</p>
 </div>
 <div id="ref-ranke2015">
-<p>———. 2015. “To T-Test or Not to T-Test, That Is the Question.” In <em>XV Symposium on Pesticide Chemistry 2-4 September 2015</em>. Piacenza. <a href="http://chem.uft.uni-bremen.de/ranke/posters/piacenza_2015.pdf" class="uri">http://chem.uft.uni-bremen.de/ranke/posters/piacenza_2015.pdf</a>.</p>
+<p>———. 2015. “To T-Test or Not to T-Test, That Is the Question.” In <em>XV Symposium on Pesticide Chemistry 2-4 September 2015</em>. Piacenza. <a href="http://chem.uft.uni-bremen.de/ranke/posters/piacenza_2015.pdf">http://chem.uft.uni-bremen.de/ranke/posters/piacenza_2015.pdf</a>.</p>
+</div>
+<div id="ref-ranke2019">
+<p>Ranke, Johannes, and Stefan Meinecke. 2019. “Error Models for the Kinetic Evaluation of Chemical Degradation Data.” <em>Environments</em> 6 (12). <a href="https://doi.org/10.3390/environments6120124">https://doi.org/10.3390/environments6120124</a>.</p>
 </div>
 <div id="ref-ranke2018">
-<p>Ranke, Johannes, Janina Wöltjen, and Stefan Meinecke. 2018. “Comparison of Software Tools for Kinetic Evaluation of Chemical Degradation Data.” <em>Environmental Sciences Europe</em> 30 (1): 17. <a href="https://doi.org/10.1186/s12302-018-0145-1" class="uri">https://doi.org/10.1186/s12302-018-0145-1</a>.</p>
+<p>Ranke, Johannes, Janina Wöltjen, and Stefan Meinecke. 2018. “Comparison of Software Tools for Kinetic Evaluation of Chemical Degradation Data.” <em>Environmental Sciences Europe</em> 30 (1): 17. <a href="https://doi.org/10.1186/s12302-018-0145-1">https://doi.org/10.1186/s12302-018-0145-1</a>.</p>
 </div>
 <div id="ref-schaefer2007">
 <p>Schäfer, D., B. Mikolasch, P. Rainbird, and B. Harvey. 2007. “KinGUI: A New Kinetic Software Tool for Evaluations According to FOCUS Degradation Kinetics.” In <em>Proceedings of the Xiii Symposium Pesticide Chemistry</em>, edited by Del Re A. A. M., Capri E., Fragoulis G., and Trevisan M., 916–23. Piacenza.</p>
 </div>
 <div id="ref-soetaert2010">
-<p>Soetaert, Karline, and Thomas Petzoldt. 2010. “Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME.” <em>Journal of Statistical Software</em> 33 (3): 1–28. <a href="https://www.jstatsoft.org/v33/i03/" class="uri">https://www.jstatsoft.org/v33/i03/</a>.</p>
+<p>Soetaert, Karline, and Thomas Petzoldt. 2010. “Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME.” <em>Journal of Statistical Software</em> 33 (3): 1–28. <a href="https://www.jstatsoft.org/v33/i03/">https://www.jstatsoft.org/v33/i03/</a>.</p>
 </div>
 </div>
 </div>
diff --git a/docs/dev/articles/mkin_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/mkin_files/accessible-code-block-0.0.1/empty-anchor.js
new file mode 100644
index 00000000..ca349fd6
--- /dev/null
+++ b/docs/dev/articles/mkin_files/accessible-code-block-0.0.1/empty-anchor.js
@@ -0,0 +1,15 @@
+// Hide empty <a> tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) -->
+// v0.0.1
+// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020.
+
+document.addEventListener('DOMContentLoaded', function() {
+  const codeList = document.getElementsByClassName("sourceCode");
+  for (var i = 0; i < codeList.length; i++) {
+    var linkList = codeList[i].getElementsByTagName('a');
+    for (var j = 0; j < linkList.length; j++) {
+      if (linkList[j].innerHTML === "") {
+        linkList[j].setAttribute('aria-hidden', 'true');
+      }
+    }
+  }
+});
diff --git a/docs/dev/articles/mkin_files/figure-html/unnamed-chunk-2-1.png b/docs/dev/articles/mkin_files/figure-html/unnamed-chunk-2-1.png
index 9b82cd62..bf38fdd7 100644
--- a/docs/dev/articles/mkin_files/figure-html/unnamed-chunk-2-1.png
+++ b/docs/dev/articles/mkin_files/figure-html/unnamed-chunk-2-1.png
diff --git a/docs/dev/articles/mkin_files/header-attrs-2.6/header-attrs.js b/docs/dev/articles/mkin_files/header-attrs-2.6/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/dev/articles/mkin_files/header-attrs-2.6/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/dev/articles/twa.html b/docs/dev/articles/twa.html
index 42ed6fa5..30eeb5a6 100644
--- a/docs/dev/articles/twa.html
+++ b/docs/dev/articles/twa.html
@@ -32,7 +32,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -81,7 +81,7 @@
 <ul class="nav navbar-nav navbar-right">
 <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -95,14 +95,13 @@
 
       
 
-      </header><link href="twa_files/anchor-sections-1.0/anchor-sections.css" rel="stylesheet">
-<script src="twa_files/anchor-sections-1.0/anchor-sections.js"></script><div class="row">
+      </header><script src="twa_files/header-attrs-2.6/header-attrs.js"></script><script src="twa_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Calculation of time weighted average concentrations with mkin</h1>
                         <h4 class="author">Johannes Ranke</h4>
             
-            <h4 class="date">2020-11-30</h4>
+            <h4 class="date">Last change 18 September 2019 (rebuilt 2021-02-15)</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/twa.rmd"><code>vignettes/twa.rmd</code></a></small>
       <div class="hidden name"><code>twa.rmd</code></div>
@@ -143,9 +142,9 @@
   \frac{1}{k_1} \left( 1 - e^{- k_1 t_b} \right) +
   \frac{e^{- k_1 t_b}}{k_2} \left( 1 - e^{- k_2 (t - t_b)} \right)  \right) \]</span></p>
 <p>Note that a method for calculating maximum moving window time weighted average concentrations for a model fitted by ‘mkinfit’ or from parent decline model parameters is included in the <code><a href="../reference/max_twa_parent.html">max_twa_parent()</a></code> function. If the same is needed for metabolites, the function <code><a href="https://pkgdown.jrwb.de/pfm/reference/max_twa.html">pfm::max_twa()</a></code> from the ‘pfm’ package can be used.</p>
-<div id="refs" class="references">
+<div id="refs" class="references hanging-indent">
 <div id="ref-FOCUSkinetics2014">
-<p>FOCUS Work Group on Degradation Kinetics. 2014. <em>Generic Guidance for Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration</em>. 1.1 ed. <a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics" class="uri">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a>.</p>
+<p>FOCUS Work Group on Degradation Kinetics. 2014. <em>Generic Guidance for Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration</em>. 1.1 ed. <a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a>.</p>
 </div>
 </div>
   </div>
diff --git a/docs/dev/articles/twa_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/twa_files/accessible-code-block-0.0.1/empty-anchor.js
new file mode 100644
index 00000000..ca349fd6
--- /dev/null
+++ b/docs/dev/articles/twa_files/accessible-code-block-0.0.1/empty-anchor.js
@@ -0,0 +1,15 @@
+// Hide empty <a> tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) -->
+// v0.0.1
+// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020.
+
+document.addEventListener('DOMContentLoaded', function() {
+  const codeList = document.getElementsByClassName("sourceCode");
+  for (var i = 0; i < codeList.length; i++) {
+    var linkList = codeList[i].getElementsByTagName('a');
+    for (var j = 0; j < linkList.length; j++) {
+      if (linkList[j].innerHTML === "") {
+        linkList[j].setAttribute('aria-hidden', 'true');
+      }
+    }
+  }
+});
diff --git a/docs/dev/articles/twa_files/header-attrs-2.6/header-attrs.js b/docs/dev/articles/twa_files/header-attrs-2.6/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/dev/articles/twa_files/header-attrs-2.6/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/dev/articles/web_only/FOCUS_Z.html b/docs/dev/articles/web_only/FOCUS_Z.html
index 15c41eb7..694b33ca 100644
--- a/docs/dev/articles/web_only/FOCUS_Z.html
+++ b/docs/dev/articles/web_only/FOCUS_Z.html
@@ -32,7 +32,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -81,7 +81,7 @@
 <ul class="nav navbar-nav navbar-right">
 <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -95,14 +95,13 @@
 
       
 
-      </header><link href="FOCUS_Z_files/anchor-sections-1.0/anchor-sections.css" rel="stylesheet">
-<script src="FOCUS_Z_files/anchor-sections-1.0/anchor-sections.js"></script><div class="row">
+      </header><script src="FOCUS_Z_files/header-attrs-2.6/header-attrs.js"></script><script src="FOCUS_Z_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Example evaluation of FOCUS dataset Z</h1>
                         <h4 class="author">Johannes Ranke</h4>
             
-            <h4 class="date">2020-11-30</h4>
+            <h4 class="date">Last change 16 January 2018 (rebuilt 2021-02-15)</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/web_only/FOCUS_Z.rmd"><code>vignettes/web_only/FOCUS_Z.rmd</code></a></small>
       <div class="hidden name"><code>FOCUS_Z.rmd</code></div>
@@ -239,12 +238,12 @@
 <div class="sourceCode" id="cb34"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">m.Z.FOCUS</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span><span class="op">$</span><span class="va">bpar</span></code></pre></div>
 <pre><code>##             Estimate se_notrans t value     Pr(&gt;t)     Lower      Upper
-## Z0_0       96.839001   1.994273 48.5585 4.0276e-42 92.827060 100.850943
-## k_Z0        2.215367   0.118456 18.7021 1.0410e-23  1.989432   2.466960
-## k_Z1        0.478310   0.028258 16.9265 6.2430e-22  0.424712   0.538673
-## k_Z2        0.451628   0.042139 10.7176 1.6313e-14  0.374337   0.544877
-## k_Z3        0.058692   0.015245  3.8498 1.7806e-04  0.034806   0.098972
-## f_Z2_to_Z3  0.471498   0.058350  8.0805 9.6614e-11  0.357741   0.588294
+## Z0_0       96.838822   1.994274 48.5584 4.0280e-42 92.826981 100.850664
+## k_Z0        2.215393   0.118458 18.7019 1.0413e-23  1.989456   2.466989
+## k_Z1        0.478305   0.028258 16.9266 6.2418e-22  0.424708   0.538666
+## k_Z2        0.451627   0.042139 10.7176 1.6314e-14  0.374339   0.544872
+## k_Z3        0.058692   0.015245  3.8499 1.7803e-04  0.034808   0.098965
+## f_Z2_to_Z3  0.471502   0.058351  8.0805 9.6608e-11  0.357769   0.588274
 ## sigma       3.984431   0.383402 10.3923 4.5575e-14  3.213126   4.755736</code></pre>
 <div class="sourceCode" id="cb36"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="../../reference/endpoints.html">endpoints</a></span><span class="op">(</span><span class="va">m.Z.FOCUS</span><span class="op">)</span></code></pre></div>
@@ -255,9 +254,9 @@
 ## $distimes
 ##        DT50    DT90
 ## Z0  0.31288  1.0394
-## Z1  1.44916  4.8140
+## Z1  1.44917  4.8141
 ## Z2  1.53478  5.0984
-## Z3 11.80983 39.2314</code></pre>
+## Z3 11.80986 39.2315</code></pre>
 <p>This fit corresponds to the final result chosen in Appendix 7 of the FOCUS report. Confidence intervals returned by mkin are based on internally transformed parameters, however.</p>
 </div>
 <div id="using-the-sforb-model" class="section level1">
@@ -353,13 +352,13 @@
 ## 
 ## $SFORB
 ##     Z0_b1     Z0_b2     Z3_b1     Z3_b2 
-## 2.4471371 0.0075126 0.0800070 0.0000000 
+## 2.4471322 0.0075125 0.0800069 0.0000000 
 ## 
 ## $distimes
 ##      DT50   DT90 DT50back DT50_Z0_b1 DT50_Z0_b2 DT50_Z3_b1 DT50_Z3_b2
-## Z0 0.3043 1.1848  0.35666    0.28325     92.265         NA         NA
+## Z0 0.3043 1.1848  0.35666    0.28325     92.266         NA         NA
 ## Z1 1.5148 5.0320       NA         NA         NA         NA         NA
-## Z2 1.6414 5.4525       NA         NA         NA         NA         NA
+## Z2 1.6414 5.4526       NA         NA         NA         NA         NA
 ## Z3     NA     NA       NA         NA         NA     8.6636        Inf</code></pre>
 <p>It is clear the degradation rate of Z3 towards the end of the experiment is very low as DT50_Z3_b2 (the second Eigenvalue of the system of two differential equations representing the SFORB system for Z3, corresponding to the slower rate constant of the DFOP model) is reported to be infinity. However, this appears to be a feature of the data.</p>
 </div>
@@ -367,9 +366,9 @@
 <h1 class="hasAnchor">
 <a href="#references" class="anchor"></a>References</h1>
 <!-- vim: set foldmethod=syntax: -->
-<div id="refs" class="references">
+<div id="refs" class="references hanging-indent">
 <div id="ref-FOCUSkinetics2014">
-<p>FOCUS Work Group on Degradation Kinetics. 2014. <em>Generic Guidance for Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration</em>. 1.1 ed. <a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics" class="uri">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a>.</p>
+<p>FOCUS Work Group on Degradation Kinetics. 2014. <em>Generic Guidance for Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration</em>. 1.1 ed. <a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a>.</p>
 </div>
 </div>
 </div>
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/web_only/FOCUS_Z_files/accessible-code-block-0.0.1/empty-anchor.js
new file mode 100644
index 00000000..ca349fd6
--- /dev/null
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/accessible-code-block-0.0.1/empty-anchor.js
@@ -0,0 +1,15 @@
+// Hide empty <a> tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) -->
+// v0.0.1
+// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020.
+
+document.addEventListener('DOMContentLoaded', function() {
+  const codeList = document.getElementsByClassName("sourceCode");
+  for (var i = 0; i < codeList.length; i++) {
+    var linkList = codeList[i].getElementsByTagName('a');
+    for (var j = 0; j < linkList.length; j++) {
+      if (linkList[j].innerHTML === "") {
+        linkList[j].setAttribute('aria-hidden', 'true');
+      }
+    }
+  }
+});
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_1-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_1-1.png
index 575def46..2213c446 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_1-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_1-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_10-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_10-1.png
index 22305ab1..61b04d3a 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_10-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_10-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11-1.png
index 2213f493..409f1203 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11a-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11a-1.png
index fc5e5556..4d6820cd 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11a-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11a-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11b-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11b-1.png
index 5c29341c..2e504961 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11b-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_11b-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_2-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_2-1.png
index 575def46..2213c446 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_2-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_2-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_3-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_3-1.png
index 98ce34a7..7ab743af 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_3-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_3-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_5-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_5-1.png
index d04a411e..2e0dce77 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_5-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_5-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_6-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_6-1.png
index 29a74490..458299c1 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_6-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_6-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_7-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_7-1.png
index 0acfa2a4..eb833066 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_7-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_7-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_9-1.png b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_9-1.png
index ca191b00..e7501cbb 100644
--- a/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_9-1.png
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/figure-html/FOCUS_2006_Z_fits_9-1.png
diff --git a/docs/dev/articles/web_only/FOCUS_Z_files/header-attrs-2.6/header-attrs.js b/docs/dev/articles/web_only/FOCUS_Z_files/header-attrs-2.6/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/dev/articles/web_only/FOCUS_Z_files/header-attrs-2.6/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/dev/articles/web_only/NAFTA_examples.html b/docs/dev/articles/web_only/NAFTA_examples.html
index fca15672..b9784415 100644
--- a/docs/dev/articles/web_only/NAFTA_examples.html
+++ b/docs/dev/articles/web_only/NAFTA_examples.html
@@ -32,7 +32,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -81,7 +81,7 @@
 <ul class="nav navbar-nav navbar-right">
 <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -95,14 +95,13 @@
 
       
 
-      </header><link href="NAFTA_examples_files/anchor-sections-1.0/anchor-sections.css" rel="stylesheet">
-<script src="NAFTA_examples_files/anchor-sections-1.0/anchor-sections.js"></script><div class="row">
+      </header><script src="NAFTA_examples_files/header-attrs-2.6/header-attrs.js"></script><script src="NAFTA_examples_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Evaluation of example datasets from Attachment 1 to the US EPA SOP for the NAFTA guidance</h1>
                         <h4 class="author">Johannes Ranke</h4>
             
-            <h4 class="date">2020-11-30</h4>
+            <h4 class="date">26 February 2019 (rebuilt 2021-02-15)</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/web_only/NAFTA_examples.rmd"><code>vignettes/web_only/NAFTA_examples.rmd</code></a></small>
       <div class="hidden name"><code>NAFTA_examples.rmd</code></div>
@@ -158,7 +157,7 @@
 ##          Estimate   Pr(&gt;t)   Lower    Upper
 ## parent_0 9.99e+01 1.41e-26 98.8116 101.0810
 ## k1       2.67e-02 5.05e-06  0.0243   0.0295
-## k2       2.42e-12 5.00e-01  0.0000      Inf
+## k2       2.26e-12 5.00e-01  0.0000      Inf
 ## g        6.47e-01 3.67e-06  0.6248   0.6677
 ## sigma    1.27e+00 8.91e-06  0.8395   1.6929
 ## 
@@ -167,7 +166,7 @@
 ##      DT50     DT90 DT50_rep
 ## SFO  67.7 2.25e+02 6.77e+01
 ## IORE 58.2 1.07e+03 3.22e+02
-## DFOP 55.5 5.22e+11 2.86e+11
+## DFOP 55.5 5.59e+11 3.07e+11
 ## 
 ## Representative half-life:
 ## [1] 321.51</code></pre>
@@ -209,7 +208,7 @@
 ##          Estimate   Pr(&gt;t)   Lower   Upper
 ## parent_0 9.84e+01 1.24e-27 97.8078 98.9187
 ## k1       1.55e-02 4.10e-04  0.0143  0.0167
-## k2       1.10e-11 5.00e-01  0.0000     Inf
+## k2       8.63e-12 5.00e-01  0.0000     Inf
 ## g        6.89e-01 2.92e-03  0.6626  0.7142
 ## sigma    6.48e-01 2.38e-05  0.4147  0.8813
 ## 
@@ -218,7 +217,7 @@
 ##      DT50     DT90 DT50_rep
 ## SFO  86.6 2.88e+02 8.66e+01
 ## IORE 85.5 7.17e+02 2.16e+02
-## DFOP 83.6 1.03e+11 6.29e+10
+## DFOP 83.6 1.32e+11 8.04e+10
 ## 
 ## Representative half-life:
 ## [1] 215.87</code></pre>
@@ -260,7 +259,7 @@
 ##          Estimate   Pr(&gt;t)   Lower   Upper
 ## parent_0 9.66e+01 1.57e-25 95.3476 97.8979
 ## k1       2.55e-02 7.33e-06  0.0233  0.0278
-## k2       3.60e-11 5.00e-01  0.0000     Inf
+## k2       3.22e-11 5.00e-01  0.0000     Inf
 ## g        8.61e-01 7.55e-06  0.8314  0.8867
 ## sigma    1.46e+00 6.93e-06  0.9661  1.9483
 ## 
@@ -269,7 +268,7 @@
 ##      DT50     DT90 DT50_rep
 ## SFO  38.6 1.28e+02 3.86e+01
 ## IORE 34.0 1.77e+02 5.32e+01
-## DFOP 34.1 9.07e+09 1.93e+10
+## DFOP 34.1 1.01e+10 2.15e+10
 ## 
 ## Representative half-life:
 ## [1] 53.17</code></pre>
@@ -311,7 +310,7 @@
 ##          Estimate   Pr(&gt;t)   Lower    Upper
 ## parent_0 9.89e+01 9.44e-49 95.4640 102.2573
 ## k1       1.81e-02 1.75e-01  0.0116   0.0281
-## k2       2.89e-10 5.00e-01  0.0000      Inf
+## k2       3.63e-10 5.00e-01  0.0000      Inf
 ## g        6.06e-01 2.19e-01  0.4826   0.7178
 ## sigma    7.40e+00 2.97e-15  6.0201   8.7754
 ## 
@@ -320,7 +319,7 @@
 ##      DT50     DT90 DT50_rep
 ## SFO  94.3 3.13e+02 9.43e+01
 ## IORE 96.7 1.51e+03 4.55e+02
-## DFOP 96.4 4.75e+09 2.40e+09
+## DFOP 96.4 3.77e+09 1.91e+09
 ## 
 ## Representative half-life:
 ## [1] 454.55</code></pre>
@@ -422,7 +421,7 @@
 ##          Estimate   Pr(&gt;t)  Lower  Upper
 ## parent_0 9.85e+01 2.54e-20 97.390 99.672
 ## k1       1.38e-01 3.52e-05  0.131  0.146
-## k2       9.03e-13 5.00e-01  0.000    Inf
+## k2       9.02e-13 5.00e-01  0.000    Inf
 ## g        6.52e-01 8.13e-06  0.642  0.661
 ## sigma    7.88e-01 6.13e-02  0.481  1.095
 ## 
@@ -431,7 +430,7 @@
 ##      DT50     DT90 DT50_rep
 ## SFO  16.9 5.63e+01 1.69e+01
 ## IORE 11.6 3.37e+02 1.01e+02
-## DFOP 10.5 1.38e+12 7.67e+11
+## DFOP 10.5 1.38e+12 7.69e+11
 ## 
 ## Representative half-life:
 ## [1] 101.43</code></pre>
@@ -443,15 +442,16 @@
 <div class="sourceCode" id="cb37"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">p9b</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/nafta.html">nafta</a></span><span class="op">(</span><span class="va">NAFTA_SOP_Attachment</span><span class="op">[[</span><span class="st">"p9b"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
 <pre><code>## Warning in sqrt(diag(covar)): NaNs produced</code></pre>
+<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs produced</code></pre>
 <pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
 <pre><code>## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is
 ## doubtful</code></pre>
 <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre>
 <pre><code>## The half-life obtained from the IORE model may be used</code></pre>
-<div class="sourceCode" id="cb43"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb44"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">p9b</span><span class="op">)</span></code></pre></div>
 <p><img src="NAFTA_examples_files/figure-html/p9b-1.png" width="700"></p>
-<div class="sourceCode" id="cb44"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb45"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">p9b</span><span class="op">)</span></code></pre></div>
 <pre><code>## Sums of squares:
 ##      SFO     IORE     DFOP 
@@ -475,12 +475,12 @@
 ## sigma             1.288 1.76e-04  0.7456  1.830
 ## 
 ## $DFOP
-##          Estimate Pr(&gt;t)   Lower   Upper
-## parent_0  94.7123     NA 93.1355 96.2891
-## k1         0.0389     NA  0.0266  0.0569
-## k2         0.0389     NA  0.0255  0.0592
-## g          0.5256     NA      NA      NA
-## sigma      1.5957     NA  0.9135  2.2779
+##          Estimate   Pr(&gt;t)   Lower   Upper
+## parent_0  94.7123 1.61e-16 93.1355 96.2891
+## k1         0.0389 1.08e-04  0.0266  0.0569
+## k2         0.0389 2.23e-04  0.0255  0.0592
+## g          0.5256      NaN      NA      NA
+## sigma      1.5957 2.50e-04  0.9135  2.2779
 ## 
 ## 
 ## DTx values:
@@ -496,15 +496,18 @@
 <div id="example-on-page-10" class="section level2">
 <h2 class="hasAnchor">
 <a href="#example-on-page-10" class="anchor"></a>Example on page 10</h2>
-<div class="sourceCode" id="cb46"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb47"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">p10</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/nafta.html">nafta</a></span><span class="op">(</span><span class="va">NAFTA_SOP_Attachment</span><span class="op">[[</span><span class="st">"p10"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
-<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs produced</code></pre>
+<pre><code>## Warning in sqrt(diag(covar)): NaNs produced</code></pre>
+<pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
+<pre><code>## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is
+## doubtful</code></pre>
 <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre>
 <pre><code>## The half-life obtained from the IORE model may be used</code></pre>
-<div class="sourceCode" id="cb50"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb53"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">p10</span><span class="op">)</span></code></pre></div>
 <p><img src="NAFTA_examples_files/figure-html/p10-1.png" width="700"></p>
-<div class="sourceCode" id="cb51"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb54"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">p10</span><span class="op">)</span></code></pre></div>
 <pre><code>## Sums of squares:
 ##      SFO     IORE     DFOP 
@@ -530,9 +533,9 @@
 ## $DFOP
 ##          Estimate   Pr(&gt;t)   Lower    Upper
 ## parent_0 101.7315 1.41e-09 91.6534 111.8097
-## k1         0.0495 5.63e-03  0.0240   0.1020
-## k2         0.0495 1.93e-03  0.0272   0.0903
-## g          0.4487      NaN  0.0000   1.0000
+## k1         0.0495 6.58e-03  0.0303   0.0809
+## k2         0.0495 2.60e-03  0.0410   0.0598
+## g          0.4487 5.00e-01      NA       NA
 ## sigma      8.0152 2.50e-04  4.5886  11.4418
 ## 
 ## 
@@ -553,14 +556,14 @@
 <div id="example-on-page-11" class="section level2">
 <h2 class="hasAnchor">
 <a href="#example-on-page-11" class="anchor"></a>Example on page 11</h2>
-<div class="sourceCode" id="cb53"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb56"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">p11</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/nafta.html">nafta</a></span><span class="op">(</span><span class="va">NAFTA_SOP_Attachment</span><span class="op">[[</span><span class="st">"p11"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
 <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre>
 <pre><code>## The half-life obtained from the IORE model may be used</code></pre>
-<div class="sourceCode" id="cb56"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb59"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">p11</span><span class="op">)</span></code></pre></div>
 <p><img src="NAFTA_examples_files/figure-html/p11-1.png" width="700"></p>
-<div class="sourceCode" id="cb57"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb60"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">p11</span><span class="op">)</span></code></pre></div>
 <pre><code>## Sums of squares:
 ##      SFO     IORE     DFOP 
@@ -596,10 +599,10 @@
 ##          DT50     DT90 DT50_rep
 ## SFO  2.16e+02 7.18e+02 2.16e+02
 ## IORE 9.73e+02 1.37e+08 4.11e+07
-## DFOP 3.07e+11 1.93e+12 6.97e+11
+## DFOP 3.07e+11 1.93e+12 6.98e+11
 ## 
 ## Representative half-life:
-## [1] 41148171</code></pre>
+## [1] 41148170</code></pre>
 <p>In this case, the DFOP fit reported for PestDF resulted in a negative value for the slower rate constant, which is not possible in mkin. The other results are in agreement.</p>
 </div>
 </div>
@@ -610,19 +613,21 @@
 <div id="example-on-page-12-upper-panel" class="section level2">
 <h2 class="hasAnchor">
 <a href="#example-on-page-12-upper-panel" class="anchor"></a>Example on page 12, upper panel</h2>
-<div class="sourceCode" id="cb59"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb62"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">p12a</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/nafta.html">nafta</a></span><span class="op">(</span><span class="va">NAFTA_SOP_Attachment</span><span class="op">[[</span><span class="st">"p12a"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
 <pre><code>## Warning in summary.mkinfit(x): Could not calculate correlation; no covariance
-## matrix
-
-## Warning in summary.mkinfit(x): Could not calculate correlation; no covariance
 ## matrix</code></pre>
+<pre><code>## Warning in sqrt(diag(covar)): NaNs produced</code></pre>
+<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs produced</code></pre>
+<pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
+<pre><code>## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is
+## doubtful</code></pre>
 <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre>
 <pre><code>## The half-life obtained from the IORE model may be used</code></pre>
-<div class="sourceCode" id="cb63"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb70"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">p12a</span><span class="op">)</span></code></pre></div>
 <p><img src="NAFTA_examples_files/figure-html/p12a-1.png" width="700"></p>
-<div class="sourceCode" id="cb64"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb71"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">p12a</span><span class="op">)</span></code></pre></div>
 <pre><code>## Sums of squares:
 ##      SFO     IORE     DFOP 
@@ -646,12 +651,12 @@
 ## sigma             3.965     NA    NA    NA
 ## 
 ## $DFOP
-##          Estimate   Pr(&gt;t) Lower Upper
-## parent_0  100.521 2.74e-10    NA    NA
-## k1          0.124 2.53e-05    NA    NA
-## k2          0.124 2.52e-02    NA    NA
-## g           0.793 5.00e-01    NA    NA
-## sigma       7.048 2.50e-04    NA    NA
+##          Estimate   Pr(&gt;t)   Lower   Upper
+## parent_0  100.521 2.74e-10 92.2366 108.805
+## k1          0.124 2.53e-05  0.0908   0.170
+## k2          0.124 2.52e-02  0.0456   0.339
+## g           0.793      NaN      NA      NA
+## sigma       7.048 2.50e-04  4.0349  10.061
 ## 
 ## 
 ## DTx values:
@@ -666,20 +671,18 @@
 <div id="example-on-page-12-lower-panel" class="section level2">
 <h2 class="hasAnchor">
 <a href="#example-on-page-12-lower-panel" class="anchor"></a>Example on page 12, lower panel</h2>
-<div class="sourceCode" id="cb66"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb73"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">p12b</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/nafta.html">nafta</a></span><span class="op">(</span><span class="va">NAFTA_SOP_Attachment</span><span class="op">[[</span><span class="st">"p12b"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
-<pre><code>## Warning in sqrt(diag(covar)): NaNs produced</code></pre>
 <pre><code>## Warning in qt(alpha/2, rdf): NaNs produced</code></pre>
 <pre><code>## Warning in qt(1 - alpha/2, rdf): NaNs produced</code></pre>
-<pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
-<pre><code>## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is
-## doubtful</code></pre>
+<pre><code>## Warning in sqrt(diag(covar_notrans)): NaNs produced</code></pre>
+<pre><code>## Warning in pt(abs(tval), rdf, lower.tail = FALSE): NaNs produced</code></pre>
 <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre>
 <pre><code>## The half-life obtained from the IORE model may be used</code></pre>
-<div class="sourceCode" id="cb74"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb80"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">p12b</span><span class="op">)</span></code></pre></div>
 <p><img src="NAFTA_examples_files/figure-html/p12b-1.png" width="700"></p>
-<div class="sourceCode" id="cb75"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb81"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">p12b</span><span class="op">)</span></code></pre></div>
 <pre><code>## Sums of squares:
 ##      SFO     IORE     DFOP 
@@ -704,11 +707,11 @@
 ## 
 ## $DFOP
 ##          Estimate Pr(&gt;t) Lower Upper
-## parent_0  97.6840     NA   NaN   NaN
-## k1         0.0589     NA    NA    NA
-## k2         0.0589     NA    NA    NA
-## g          0.6473     NA    NA    NA
-## sigma      3.4323     NA   NaN   NaN
+## parent_0  97.6840    NaN   NaN   NaN
+## k1         0.0589    NaN    NA    NA
+## k2         0.0589    NaN    NA    NA
+## g          0.6473    NaN    NA    NA
+## sigma      3.4323    NaN   NaN   NaN
 ## 
 ## 
 ## DTx values:
@@ -723,18 +726,14 @@
 <div id="example-on-page-13" class="section level2">
 <h2 class="hasAnchor">
 <a href="#example-on-page-13" class="anchor"></a>Example on page 13</h2>
-<div class="sourceCode" id="cb77"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb83"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">p13</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/nafta.html">nafta</a></span><span class="op">(</span><span class="va">NAFTA_SOP_Attachment</span><span class="op">[[</span><span class="st">"p13"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
-<pre><code>## Warning in sqrt(diag(covar)): NaNs produced</code></pre>
-<pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
-<pre><code>## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is
-## doubtful</code></pre>
 <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre>
 <pre><code>## The half-life obtained from the IORE model may be used</code></pre>
-<div class="sourceCode" id="cb83"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb86"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">p13</span><span class="op">)</span></code></pre></div>
 <p><img src="NAFTA_examples_files/figure-html/p13-1.png" width="700"></p>
-<div class="sourceCode" id="cb84"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb87"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">p13</span><span class="op">)</span></code></pre></div>
 <pre><code>## Sums of squares:
 ##      SFO     IORE     DFOP 
@@ -760,9 +759,9 @@
 ## $DFOP
 ##          Estimate Pr(&gt;t)    Lower    Upper
 ## parent_0 92.73500     NA 8.95e+01 95.92118
-## k1        0.00258     NA 4.25e-04  0.01569
-## k2        0.00258     NA 1.76e-03  0.00379
-## g         0.16452     NA       NA       NA
+## k1        0.00258     NA 4.14e-04  0.01611
+## k2        0.00258     NA 1.74e-03  0.00383
+## g         0.16452     NA 0.00e+00  1.00000
 ## sigma     3.41172     NA 2.02e+00  4.79960
 ## 
 ## 
@@ -779,7 +778,7 @@
 <div id="dt50-not-observed-in-the-study-and-dfop-problems-in-pestdf" class="section level1">
 <h1 class="hasAnchor">
 <a href="#dt50-not-observed-in-the-study-and-dfop-problems-in-pestdf" class="anchor"></a>DT50 not observed in the study and DFOP problems in PestDF</h1>
-<div class="sourceCode" id="cb86"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb89"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">p14</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/nafta.html">nafta</a></span><span class="op">(</span><span class="va">NAFTA_SOP_Attachment</span><span class="op">[[</span><span class="st">"p14"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
 <pre><code>## Warning in sqrt(diag(covar)): NaNs produced</code></pre>
 <pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
@@ -787,10 +786,10 @@
 ## doubtful</code></pre>
 <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre>
 <pre><code>## The half-life obtained from the IORE model may be used</code></pre>
-<div class="sourceCode" id="cb92"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb95"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">p14</span><span class="op">)</span></code></pre></div>
 <p><img src="NAFTA_examples_files/figure-html/p14-1.png" width="700"></p>
-<div class="sourceCode" id="cb93"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb96"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">p14</span><span class="op">)</span></code></pre></div>
 <pre><code>## Sums of squares:
 ##      SFO     IORE     DFOP 
@@ -817,7 +816,7 @@
 ##          Estimate   Pr(&gt;t)    Lower    Upper
 ## parent_0 1.00e+02 2.96e-28 99.40280 101.2768
 ## k1       9.53e-03 1.20e-01  0.00638   0.0143
-## k2       5.33e-12 5.00e-01  0.00000      Inf
+## k2       6.08e-12 5.00e-01  0.00000      Inf
 ## g        3.98e-01 2.19e-01  0.30481   0.4998
 ## sigma    1.17e+00 7.68e-06  0.77406   1.5610
 ## 
@@ -826,7 +825,7 @@
 ##          DT50     DT90 DT50_rep
 ## SFO  2.48e+02 8.25e+02 2.48e+02
 ## IORE 4.34e+02 2.22e+04 6.70e+03
-## DFOP 3.48e+10 3.37e+11 1.30e+11
+## DFOP 3.05e+10 2.95e+11 1.14e+11
 ## 
 ## Representative half-life:
 ## [1] 6697.44</code></pre>
@@ -835,14 +834,14 @@
 <div id="n-is-less-than-1-and-dfop-fraction-parameter-is-below-zero" class="section level1">
 <h1 class="hasAnchor">
 <a href="#n-is-less-than-1-and-dfop-fraction-parameter-is-below-zero" class="anchor"></a>N is less than 1 and DFOP fraction parameter is below zero</h1>
-<div class="sourceCode" id="cb95"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb98"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">p15a</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/nafta.html">nafta</a></span><span class="op">(</span><span class="va">NAFTA_SOP_Attachment</span><span class="op">[[</span><span class="st">"p15a"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
 <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre>
 <pre><code>## The half-life obtained from the IORE model may be used</code></pre>
-<div class="sourceCode" id="cb98"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb101"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">p15a</span><span class="op">)</span></code></pre></div>
 <p><img src="NAFTA_examples_files/figure-html/p15a-1.png" width="700"></p>
-<div class="sourceCode" id="cb99"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb102"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">p15a</span><span class="op">)</span></code></pre></div>
 <pre><code>## Sums of squares:
 ##      SFO     IORE     DFOP 
@@ -866,12 +865,12 @@
 ## sigma             3.105 1.78e-04  1.795  4.416
 ## 
 ## $DFOP
-##          Estimate Pr(&gt;t)    Lower    Upper
-## parent_0 97.96751     NA 94.21913 101.7159
-## k1        0.00952     NA  0.00221   0.0411
-## k2        0.00952     NA  0.00626   0.0145
-## g         0.21241     NA  0.00000   1.0000
-## sigma     4.18778     NA  2.39747   5.9781
+##          Estimate   Pr(&gt;t)    Lower    Upper
+## parent_0 97.96751 2.85e-13 94.21913 101.7159
+## k1        0.00952 6.28e-02  0.00250   0.0363
+## k2        0.00952 1.27e-04  0.00646   0.0140
+## g         0.21241 5.00e-01  0.00000   1.0000
+## sigma     4.18778 2.50e-04  2.39747   5.9781
 ## 
 ## 
 ## DTx values:
@@ -882,7 +881,7 @@
 ## 
 ## Representative half-life:
 ## [1] 41.33</code></pre>
-<div class="sourceCode" id="cb101"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb104"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">p15b</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/nafta.html">nafta</a></span><span class="op">(</span><span class="va">NAFTA_SOP_Attachment</span><span class="op">[[</span><span class="st">"p15b"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
 <pre><code>## Warning in sqrt(diag(covar)): NaNs produced</code></pre>
 <pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
@@ -890,10 +889,10 @@
 ## doubtful</code></pre>
 <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre>
 <pre><code>## The half-life obtained from the IORE model may be used</code></pre>
-<div class="sourceCode" id="cb107"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb110"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">p15b</span><span class="op">)</span></code></pre></div>
 <p><img src="NAFTA_examples_files/figure-html/p15b-1.png" width="700"></p>
-<div class="sourceCode" id="cb108"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb111"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">p15b</span><span class="op">)</span></code></pre></div>
 <pre><code>## Sums of squares:
 ##       SFO      IORE      DFOP 
@@ -911,7 +910,7 @@
 ## 
 ## $IORE
 ##                Estimate   Pr(&gt;t)    Lower  Upper
-## parent_0          99.83 1.81e-16 97.51348 102.14
+## parent_0          99.83 1.81e-16 97.51349 102.14
 ## k__iore_parent     0.38 3.22e-01  0.00352  41.05
 ## N_parent           0.00 5.00e-01 -1.07696   1.08
 ## sigma              2.21 2.57e-04  1.23245   3.19
@@ -938,16 +937,16 @@
 <div id="the-dfop-fraction-parameter-is-greater-than-1" class="section level1">
 <h1 class="hasAnchor">
 <a href="#the-dfop-fraction-parameter-is-greater-than-1" class="anchor"></a>The DFOP fraction parameter is greater than 1</h1>
-<div class="sourceCode" id="cb110"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb113"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">p16</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/nafta.html">nafta</a></span><span class="op">(</span><span class="va">NAFTA_SOP_Attachment</span><span class="op">[[</span><span class="st">"p16"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
 <pre><code>## The SFO model is rejected as S_SFO is equal or higher than the critical value S_c</code></pre>
 <pre><code>## The representative half-life of the IORE model is longer than the one corresponding</code></pre>
 <pre><code>## to the terminal degradation rate found with the DFOP model.</code></pre>
 <pre><code>## The representative half-life obtained from the DFOP model may be used</code></pre>
-<div class="sourceCode" id="cb115"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb118"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">p16</span><span class="op">)</span></code></pre></div>
 <p><img src="NAFTA_examples_files/figure-html/p16-1.png" width="700"></p>
-<div class="sourceCode" id="cb116"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb119"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">p16</span><span class="op">)</span></code></pre></div>
 <pre><code>## Sums of squares:
 ##      SFO     IORE     DFOP 
@@ -998,7 +997,7 @@
 <div id="references" class="section level1 unnumbered">
 <h1 class="hasAnchor">
 <a href="#references" class="anchor"></a>References</h1>
-<div id="refs" class="references">
+<div id="refs" class="references hanging-indent">
 <div id="ref-usepa2015">
 <p>US EPA. 2015. “Standard Operating Procedure for Using the NAFTA Guidance to Calculate Representative Half-Life Values and Characterizing Pesticide Degradation.”</p>
 </div>
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/web_only/NAFTA_examples_files/accessible-code-block-0.0.1/empty-anchor.js
new file mode 100644
index 00000000..ca349fd6
--- /dev/null
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/accessible-code-block-0.0.1/empty-anchor.js
@@ -0,0 +1,15 @@
+// Hide empty <a> tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) -->
+// v0.0.1
+// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020.
+
+document.addEventListener('DOMContentLoaded', function() {
+  const codeList = document.getElementsByClassName("sourceCode");
+  for (var i = 0; i < codeList.length; i++) {
+    var linkList = codeList[i].getElementsByTagName('a');
+    for (var j = 0; j < linkList.length; j++) {
+      if (linkList[j].innerHTML === "") {
+        linkList[j].setAttribute('aria-hidden', 'true');
+      }
+    }
+  }
+});
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p10-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p10-1.png
index 38b251ea..f5420ce8 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p10-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p10-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p11-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p11-1.png
index 77463495..0ae4bd9f 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p11-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p11-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p12a-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p12a-1.png
index ccf8f77a..57a48119 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p12a-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p12a-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p12b-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p12b-1.png
index 6b0dcaf2..c42d45f0 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p12b-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p12b-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p13-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p13-1.png
index ce177190..52dea51e 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p13-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p13-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p14-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p14-1.png
index f2f59ff7..ca1f29be 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p14-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p14-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p15a-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p15a-1.png
index c5759a5b..f69e6d3b 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p15a-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p15a-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p15b-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p15b-1.png
index 3640ea68..71fcd257 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p15b-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p15b-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p16-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p16-1.png
index b61f28e2..820501a3 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p16-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p16-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p5a-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p5a-1.png
index 8d38b89c..e264d2ea 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p5a-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p5a-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p5b-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p5b-1.png
index 3f2da285..e5b656a4 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p5b-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p5b-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p6-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p6-1.png
index 37274769..c9664c77 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p6-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p6-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p7-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p7-1.png
index 515e9095..a81f814c 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p7-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p7-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p8-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p8-1.png
index ebcc326c..75d72e7c 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p8-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p8-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p9a-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p9a-1.png
index a6f4e763..3ce13a97 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p9a-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p9a-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p9b-1.png b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p9b-1.png
index 2a8cf947..e2cf2f83 100644
--- a/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p9b-1.png
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/figure-html/p9b-1.png
diff --git a/docs/dev/articles/web_only/NAFTA_examples_files/header-attrs-2.6/header-attrs.js b/docs/dev/articles/web_only/NAFTA_examples_files/header-attrs-2.6/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/dev/articles/web_only/NAFTA_examples_files/header-attrs-2.6/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/dev/articles/web_only/benchmarks.html b/docs/dev/articles/web_only/benchmarks.html
index 8e157c0f..a6d52649 100644
--- a/docs/dev/articles/web_only/benchmarks.html
+++ b/docs/dev/articles/web_only/benchmarks.html
@@ -32,7 +32,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -81,7 +81,7 @@
 <ul class="nav navbar-nav navbar-right">
 <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -95,14 +95,13 @@
 
       
 
-      </header><link href="benchmarks_files/anchor-sections-1.0/anchor-sections.css" rel="stylesheet">
-<script src="benchmarks_files/anchor-sections-1.0/anchor-sections.js"></script><div class="row">
+      </header><script src="benchmarks_files/header-attrs-2.6/header-attrs.js"></script><script src="benchmarks_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Benchmark timings for mkin</h1>
                         <h4 class="author">Johannes Ranke</h4>
             
-            <h4 class="date">2020-11-30</h4>
+            <h4 class="date">Last change 13 May 2020 (rebuilt 2021-02-15)</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/web_only/benchmarks.rmd"><code>vignettes/web_only/benchmarks.rmd</code></a></small>
       <div class="hidden name"><code>benchmarks.rmd</code></div>
@@ -137,17 +136,11 @@
   m1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span>
 <span class="va">t3</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOMC_SFO</span>, <span class="va">DFOP_SFO</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">FOCUS_D</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
 <span class="va">t4</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOMC_SFO</span>, <span class="va">DFOP_SFO</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">FOCUS_D</span><span class="op">)</span>,
-    error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></code></pre></div>
-<pre><code>## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): Optimisation did not converge:
-## iteration limit reached without convergence (10)
-
-## Warning in mkinfit(models[[model_index]], datasets[[dataset_index]], ...): Optimisation did not converge:
-## iteration limit reached without convergence (10)</code></pre>
-<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">t5</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOMC_SFO</span>, <span class="va">DFOP_SFO</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">FOCUS_D</span><span class="op">)</span>,
+    error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
+<span class="va">t5</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOMC_SFO</span>, <span class="va">DFOP_SFO</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">FOCUS_D</span><span class="op">)</span>,
     error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></code></pre></div>
 <p>Two metabolites, synthetic data:</p>
-<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">m_synth_SFO_lin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"M1"</span><span class="op">)</span>,
                            M1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"M2"</span><span class="op">)</span>,
                            M2 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,
@@ -174,7 +167,7 @@
     error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
 <span class="va">t11</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">m_synth_DFOP_par</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">DFOP_par_c</span><span class="op">)</span>,
     error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></code></pre></div>
-<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span class="va">mkin_benchmarks</span><span class="op">[</span><span class="va">system_string</span>, <span class="fu"><a href="https://rdrr.io/r/base/paste.html">paste0</a></span><span class="op">(</span><span class="st">"t"</span>, <span class="fl">1</span><span class="op">:</span><span class="fl">11</span><span class="op">)</span><span class="op">]</span> <span class="op">&lt;-</span>
   <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="va">t1</span>, <span class="va">t2</span>, <span class="va">t3</span>, <span class="va">t4</span>, <span class="va">t5</span>, <span class="va">t6</span>, <span class="va">t7</span>, <span class="va">t8</span>, <span class="va">t9</span>, <span class="va">t10</span>, <span class="va">t11</span><span class="op">)</span>
 <span class="fu"><a href="https://rdrr.io/r/base/save.html">save</a></span><span class="op">(</span><span class="va">mkin_benchmarks</span>, file <span class="op">=</span> <span class="st">"~/git/mkin/vignettes/web_only/mkin_benchmarks.rda"</span><span class="op">)</span></code></pre></div>
@@ -235,6 +228,16 @@
 <td align="right">1.786</td>
 <td align="right">3.729</td>
 </tr>
+<tr class="odd">
+<td align="left">1.0.3</td>
+<td align="right">1.722</td>
+<td align="right">3.419</td>
+</tr>
+<tr class="even">
+<td align="left">1.0.3.9000</td>
+<td align="right">2.770</td>
+<td align="right">3.458</td>
+</tr>
 </tbody>
 </table>
 </div>
@@ -298,13 +301,25 @@
 <td align="right">7.251</td>
 <td align="right">2.810</td>
 </tr>
+<tr class="odd">
+<td align="left">1.0.3</td>
+<td align="right">1.402</td>
+<td align="right">6.343</td>
+<td align="right">2.802</td>
+</tr>
+<tr class="even">
+<td align="left">1.0.3.9000</td>
+<td align="right">1.405</td>
+<td align="right">6.417</td>
+<td align="right">2.824</td>
+</tr>
 </tbody>
 </table>
 </div>
 <div id="two-metabolites" class="section level3">
 <h3 class="hasAnchor">
 <a href="#two-metabolites" class="anchor"></a>Two metabolites</h3>
-<p>Constant variance (t6 and t7), two-component error model (t8 and t9), and variance by variable (t10 and t11) for one model fitted to one dataset, i.e. one fit for each test.</p>
+<p>Constant variance (t6 and t7), two-component error model (t8 and t9), and variance by variable (t10 and t11) for one model fitted to one dataset, i.e. one fit for each test.</p>
 <table class="table">
 <thead><tr class="header">
 <th align="left">mkin version</th>
@@ -388,6 +403,24 @@
 <td align="right">1.958</td>
 <td align="right">3.105</td>
 </tr>
+<tr class="odd">
+<td align="left">1.0.3</td>
+<td align="right">0.771</td>
+<td align="right">1.251</td>
+<td align="right">1.464</td>
+<td align="right">3.074</td>
+<td align="right">1.940</td>
+<td align="right">2.831</td>
+</tr>
+<tr class="even">
+<td align="left">1.0.3.9000</td>
+<td align="right">0.772</td>
+<td align="right">1.263</td>
+<td align="right">1.483</td>
+<td align="right">3.101</td>
+<td align="right">1.958</td>
+<td align="right">2.843</td>
+</tr>
 </tbody>
 </table>
 </div>
diff --git a/docs/dev/articles/web_only/benchmarks_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/web_only/benchmarks_files/accessible-code-block-0.0.1/empty-anchor.js
new file mode 100644
index 00000000..ca349fd6
--- /dev/null
+++ b/docs/dev/articles/web_only/benchmarks_files/accessible-code-block-0.0.1/empty-anchor.js
@@ -0,0 +1,15 @@
+// Hide empty <a> tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) -->
+// v0.0.1
+// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020.
+
+document.addEventListener('DOMContentLoaded', function() {
+  const codeList = document.getElementsByClassName("sourceCode");
+  for (var i = 0; i < codeList.length; i++) {
+    var linkList = codeList[i].getElementsByTagName('a');
+    for (var j = 0; j < linkList.length; j++) {
+      if (linkList[j].innerHTML === "") {
+        linkList[j].setAttribute('aria-hidden', 'true');
+      }
+    }
+  }
+});
diff --git a/docs/dev/articles/web_only/benchmarks_files/header-attrs-2.6/header-attrs.js b/docs/dev/articles/web_only/benchmarks_files/header-attrs-2.6/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/dev/articles/web_only/benchmarks_files/header-attrs-2.6/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/dev/articles/web_only/compiled_models.html b/docs/dev/articles/web_only/compiled_models.html
index a444f4bc..49a579fc 100644
--- a/docs/dev/articles/web_only/compiled_models.html
+++ b/docs/dev/articles/web_only/compiled_models.html
@@ -32,7 +32,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -81,7 +81,7 @@
 <ul class="nav navbar-nav navbar-right">
 <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -95,14 +95,13 @@
 
       
 
-      </header><link href="compiled_models_files/anchor-sections-1.0/anchor-sections.css" rel="stylesheet">
-<script src="compiled_models_files/anchor-sections-1.0/anchor-sections.js"></script><div class="row">
+      </header><script src="compiled_models_files/header-attrs-2.6/header-attrs.js"></script><script src="compiled_models_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Performance benefit by using compiled model definitions in mkin</h1>
                         <h4 class="author">Johannes Ranke</h4>
             
-            <h4 class="date">2020-11-30</h4>
+            <h4 class="date">2021-02-15</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/web_only/compiled_models.rmd"><code>vignettes/web_only/compiled_models.rmd</code></a></small>
       <div class="hidden name"><code>compiled_models.rmd</code></div>
@@ -160,10 +159,10 @@
   <span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="st">"R package rbenchmark is not available"</span><span class="op">)</span>
 <span class="op">}</span></code></pre></div>
 <pre><code>##                    test replications relative elapsed
-## 4            analytical            1    1.000   0.187
-## 3     deSolve, compiled            1    1.807   0.338
-## 2      Eigenvalue based            1    2.032   0.380
-## 1 deSolve, not compiled            1   43.048   8.050</code></pre>
+## 4            analytical            1    1.000   0.182
+## 3     deSolve, compiled            1    1.824   0.332
+## 2      Eigenvalue based            1    2.082   0.379
+## 1 deSolve, not compiled            1   46.181   8.405</code></pre>
 <p>We see that using the compiled model is by more than a factor of 10 faster than using deSolve without compiled code.</p>
 </div>
 <div id="model-without-analytical-solution" class="section level2">
@@ -190,13 +189,13 @@
 <span class="op">}</span></code></pre></div>
 <pre><code>## Temporary DLL for differentials generated and loaded</code></pre>
 <pre><code>##                    test replications relative elapsed
-## 2     deSolve, compiled            1    1.000   0.483
-## 1 deSolve, not compiled            1   29.969  14.475</code></pre>
-<p>Here we get a performance benefit of a factor of 30 using the version of the differential equation model compiled from C code!</p>
-<p>This vignette was built with mkin 0.9.50.4 on</p>
+## 2     deSolve, compiled            1    1.000   0.541
+## 1 deSolve, not compiled            1   29.091  15.738</code></pre>
+<p>Here we get a performance benefit of a factor of 29 using the version of the differential equation model compiled from C code!</p>
+<p>This vignette was built with mkin 1.0.3.9000 on</p>
 <pre><code>## R version 4.0.3 (2020-10-10)
 ## Platform: x86_64-pc-linux-gnu (64-bit)
-## Running under: Debian GNU/Linux 10 (buster)</code></pre>
+## Running under: Debian GNU/Linux bullseye/sid</code></pre>
 <pre><code>## CPU model: AMD Ryzen 7 1700 Eight-Core Processor</code></pre>
 </div>
   </div>
diff --git a/docs/dev/articles/web_only/compiled_models_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/web_only/compiled_models_files/accessible-code-block-0.0.1/empty-anchor.js
new file mode 100644
index 00000000..ca349fd6
--- /dev/null
+++ b/docs/dev/articles/web_only/compiled_models_files/accessible-code-block-0.0.1/empty-anchor.js
@@ -0,0 +1,15 @@
+// Hide empty <a> tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) -->
+// v0.0.1
+// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020.
+
+document.addEventListener('DOMContentLoaded', function() {
+  const codeList = document.getElementsByClassName("sourceCode");
+  for (var i = 0; i < codeList.length; i++) {
+    var linkList = codeList[i].getElementsByTagName('a');
+    for (var j = 0; j < linkList.length; j++) {
+      if (linkList[j].innerHTML === "") {
+        linkList[j].setAttribute('aria-hidden', 'true');
+      }
+    }
+  }
+});
diff --git a/docs/dev/articles/web_only/compiled_models_files/header-attrs-2.6/header-attrs.js b/docs/dev/articles/web_only/compiled_models_files/header-attrs-2.6/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/dev/articles/web_only/compiled_models_files/header-attrs-2.6/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/dev/articles/web_only/dimethenamid_2018.html b/docs/dev/articles/web_only/dimethenamid_2018.html
new file mode 100644
index 00000000..a2ea5c8d
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018.html
@@ -0,0 +1,619 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en">
+<head>
+<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
+<meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<title>Example evaluations of the dimethenamid data from 2018 • mkin</title>
+<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../../bootstrap-toc.css">
+<script src="../../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
+<!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../../pkgdown.css" rel="stylesheet">
+<script src="../../pkgdown.js"></script><meta property="og:title" content="Example evaluations of the dimethenamid data from 2018">
+<meta property="og:description" content="mkin">
+<meta name="robots" content="noindex">
+<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+</head>
+<body data-spy="scroll" data-target="#toc">
+    <div class="container template-article">
+      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../../index.html">mkin</a>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+<li>
+  <a href="../../reference/index.html">Functions and data</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+<li>
+      <a href="../../articles/mkin.html">Introduction to mkin</a>
+    </li>
+    <li>
+      <a href="../../articles/FOCUS_D.html">Example evaluation of FOCUS Example Dataset D</a>
+    </li>
+    <li>
+      <a href="../../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
+    </li>
+    <li>
+      <a href="../../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+    </li>
+    <li>
+      <a href="../../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
+    </li>
+    <li>
+      <a href="../../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
+    </li>
+    <li>
+      <a href="../../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
+    </li>
+    <li>
+      <a href="../../articles/web_only/benchmarks.html">Some benchmark timings</a>
+    </li>
+  </ul>
+</li>
+<li>
+  <a href="../../news/index.html">News</a>
+</li>
+      </ul>
+<ul class="nav navbar-nav navbar-right">
+<li>
+  <a href="https://github.com/jranke/mkin/">
+    <span class="fab fa-github fa-lg"></span>
+     
+  </a>
+</li>
+      </ul>
+</div>
+<!--/.nav-collapse -->
+  </div>
+<!--/.container -->
+</div>
+<!--/.navbar -->
+
+      
+
+      </header><script src="dimethenamid_2018_files/header-attrs-2.11/header-attrs.js"></script><script src="dimethenamid_2018_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header toc-ignore">
+      <h1 data-toc-skip>Example evaluations of the dimethenamid data from 2018</h1>
+                        <h4 class="author">Johannes Ranke</h4>
+            
+            <h4 class="date">Last change 11 January 2022, built on 11 Jan 2022</h4>
+      
+      <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/web_only/dimethenamid_2018.rmd"><code>vignettes/web_only/dimethenamid_2018.rmd</code></a></small>
+      <div class="hidden name"><code>dimethenamid_2018.rmd</code></div>
+
+    </div>
+
+    
+    
+<p><a href="http://www.jrwb.de">Wissenschaftlicher Berater, Kronacher Str. 12, 79639 Grenzach-Wyhlen, Germany</a></p>
+<div id="introduction" class="section level1">
+<h1 class="hasAnchor">
+<a href="#introduction" class="anchor"></a>Introduction</h1>
+<p>During the preparation of the journal article on nonlinear mixed-effects models in degradation kinetics <span class="citation">(Ranke et al. 2021)</span> and the analysis of the dimethenamid degradation data analysed therein, a need for a more detailed analysis using not only nlme and saemix, but also nlmixr for fitting the mixed-effects models was identified, as many model variants do not converge when fitted with nlme, and not all relevant error models can be fitted with saemix.</p>
+<p>This vignette is an attempt to satisfy this need.</p>
+</div>
+<div id="data" class="section level1">
+<h1 class="hasAnchor">
+<a href="#data" class="anchor"></a>Data</h1>
+<p>Residue data forming the basis for the endpoints derived in the conclusion on the peer review of the pesticide risk assessment of dimethenamid-P published by the European Food Safety Authority (EFSA) in 2018 <span class="citation">(EFSA 2018)</span> were transcribed from the risk assessment report <span class="citation">(Rapporteur Member State Germany, Co-Rapporteur Member State Bulgaria 2018)</span> which can be downloaded from the Open EFSA repository <a href="https://open.efsa.europa.eu">https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716</a>.</p>
+<p>The data are <a href="https://pkgdown.jrwb.de/mkin/reference/dimethenamid_2018.html">available in the mkin package</a>. The following code (hidden by default, please use the button to the right to show it) treats the data available for the racemic mixture dimethenamid (DMTA) and its enantiomer dimethenamid-P (DMTAP) in the same way, as no difference between their degradation behaviour was identified in the EU risk assessment. The observation times of each dataset are multiplied with the corresponding normalisation factor also available in the dataset, in order to make it possible to describe all datasets with a single set of parameters.</p>
+<p>Also, datasets observed in the same soil are merged, resulting in dimethenamid (DMTA) data from six soils.</p>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://pkgdown.jrwb.de/mkin/">mkin</a></span>, quietly <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
+<span class="va">dmta_ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html">lapply</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">7</span>, <span class="kw">function</span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">{</span>
+  <span class="va">ds_i</span> <span class="op">&lt;-</span> <span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">ds</span><span class="op">[[</span><span class="va">i</span><span class="op">]</span><span class="op">]</span><span class="op">$</span><span class="va">data</span>
+  <span class="va">ds_i</span><span class="op">[</span><span class="va">ds_i</span><span class="op">$</span><span class="va">name</span> <span class="op">==</span> <span class="st">"DMTAP"</span>, <span class="st">"name"</span><span class="op">]</span> <span class="op">&lt;-</span>  <span class="st">"DMTA"</span>
+  <span class="va">ds_i</span><span class="op">$</span><span class="va">time</span> <span class="op">&lt;-</span> <span class="va">ds_i</span><span class="op">$</span><span class="va">time</span> <span class="op">*</span> <span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">f_time_norm</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>
+  <span class="va">ds_i</span>
+<span class="op">}</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/r/base/names.html">names</a></span><span class="op">(</span><span class="va">dmta_ds</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html">sapply</a></span><span class="op">(</span><span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">ds</span>, <span class="kw">function</span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="va">ds</span><span class="op">$</span><span class="va">title</span><span class="op">)</span>
+<span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html">rbind</a></span><span class="op">(</span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 1"</span><span class="op">]</span><span class="op">]</span>, <span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 2"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span>
+<span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 1"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span>
+<span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 2"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span></code></pre></div>
+</div>
+<div id="parent-degradation" class="section level1">
+<h1 class="hasAnchor">
+<a href="#parent-degradation" class="anchor"></a>Parent degradation</h1>
+<p>We evaluate the observed degradation of the parent compound using simple exponential decline (SFO) and biexponential decline (DFOP), using constant variance (const) and a two-component variance (tc) as error models.</p>
+<div id="separate-evaluations" class="section level2">
+<h2 class="hasAnchor">
+<a href="#separate-evaluations" class="anchor"></a>Separate evaluations</h2>
+<p>As a first step, to get a visual impression of the fit of the different models, we do separate evaluations for each soil using the mmkin function from the mkin package:</p>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_mkin_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">dmta_ds</span>,
+  error_model <span class="op">=</span> <span class="st">"const"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
+<span class="va">f_parent_mkin_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">dmta_ds</span>,
+  error_model <span class="op">=</span> <span class="st">"tc"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></code></pre></div>
+<p>The plot of the individual SFO fits shown below suggests that at least in some datasets the degradation slows down towards later time points, and that the scatter of the residuals error is smaller for smaller values (panel to the right):</p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png" width="700"></p>
+<p>Using biexponential decline (DFOP) results in a slightly more random scatter of the residuals:</p>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png" width="700"></p>
+<p>The population curve (bold line) in the above plot results from taking the mean of the individual transformed parameters, i.e. of log k1 and log k2, as well as of the logit of the g parameter of the DFOP model). Here, this procedure does not result in parameters that represent the degradation well, because in some datasets the fitted value for k2 is extremely close to zero, leading to a log k2 value that dominates the average. This is alleviated if only rate constants that pass the t-test for significant difference from zero (on the untransformed scale) are considered in the averaging:</p>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png" width="700"></p>
+<p>While this is visually much more satisfactory, such an average procedure could introduce a bias, as not all results from the individual fits enter the population curve with the same weight. This is where nonlinear mixed-effects models can help out by treating all datasets with equally by fitting a parameter distribution model together with the degradation model and the error model (see below).</p>
+<p>The remaining trend of the residuals to be higher for higher predicted residues is reduced by using the two-component error model:</p>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png" width="700"></p>
+</div>
+<div id="nonlinear-mixed-effects-models" class="section level2">
+<h2 class="hasAnchor">
+<a href="#nonlinear-mixed-effects-models" class="anchor"></a>Nonlinear mixed-effects models</h2>
+<p>Instead of taking a model selection decision for each of the individual fits, we fit nonlinear mixed-effects models (using different fitting algorithms as implemented in different packages) and do model selection using all available data at the same time. In order to make sure that these decisions are not unduly influenced by the type of algorithm used, by implementation details or by the use of wrong control parameters, we compare the model selection results obtained with different R packages, with different algorithms and checking control parameters.</p>
+<div id="nlme" class="section level3">
+<h3 class="hasAnchor">
+<a href="#nlme" class="anchor"></a>nlme</h3>
+<p>The nlme package was the first R extension providing facilities to fit nonlinear mixed-effects models. We would like to do model selection from all four combinations of degradation models and error models based on the AIC. However, fitting the DFOP model with constant variance and using default control parameters results in an error, signalling that the maximum number of 50 iterations was reached, potentially indicating overparameterisation. Nevertheless, the algorithm converges when the two-component error model is used in combination with the DFOP model. This can be explained by the fact that the smaller residues observed at later sampling times get more weight when using the two-component error model which will counteract the tendency of the algorithm to try parameter combinations unsuitable for fitting these data.</p>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://svn.r-project.org/R-packages/trunk/nlme/">nlme</a></span><span class="op">)</span>
+<span class="va">f_parent_nlme_sfo_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span>
+<span class="co"># f_parent_nlme_dfop_const &lt;- nlme(f_parent_mkin_const["DFOP", ])</span>
+<span class="va">f_parent_nlme_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span>
+<span class="va">f_parent_nlme_dfop_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></code></pre></div>
+<p>Note that a certain degree of overparameterisation is also indicated by a warning obtained when fitting DFOP with the two-component error model (‘false convergence’ in the ‘LME step’ in iteration 3). However, as this warning does not occur in later iterations, and specifically not in the last of the 6 iterations, we can ignore this warning.</p>
+<p>The model comparison function of the nlme package can directly be applied to these fits showing a much lower AIC for the DFOP model fitted with the two-component error model. Also, the likelihood ratio test indicates that this difference is significant as the p-value is below 0.0001.</p>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/stats/anova.html">anova</a></span><span class="op">(</span>
+  <span class="va">f_parent_nlme_sfo_const</span>, <span class="va">f_parent_nlme_sfo_tc</span>, <span class="va">f_parent_nlme_dfop_tc</span>
+<span class="op">)</span></code></pre></div>
+<pre><code>                        Model df    AIC    BIC  logLik   Test L.Ratio p-value
+f_parent_nlme_sfo_const     1  5 796.60 811.82 -393.30                       
+f_parent_nlme_sfo_tc        2  6 798.60 816.86 -393.30 1 vs 2    0.00   0.998
+f_parent_nlme_dfop_tc       3 10 671.91 702.34 -325.96 2 vs 3  134.69  &lt;.0001</code></pre>
+<p>In addition to these fits, attempts were also made to include correlations between random effects by using the log Cholesky parameterisation of the matrix specifying them. The code used for these attempts can be made visible below.</p>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_nlme_sfo_const_logchol</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>,
+  random <span class="op">=</span> <span class="fu">nlme</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdLogChol.html">pdLogChol</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">DMTA_0</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k_DMTA</span> <span class="op">~</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/r/stats/anova.html">anova</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_const</span>, <span class="va">f_parent_nlme_sfo_const_logchol</span><span class="op">)</span>
+<span class="va">f_parent_nlme_sfo_tc_logchol</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>,
+  random <span class="op">=</span> <span class="fu">nlme</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdLogChol.html">pdLogChol</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">DMTA_0</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k_DMTA</span> <span class="op">~</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/r/stats/anova.html">anova</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_tc</span>, <span class="va">f_parent_nlme_sfo_tc_logchol</span><span class="op">)</span>
+<span class="va">f_parent_nlme_dfop_tc_logchol</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>,
+  random <span class="op">=</span> <span class="fu">nlme</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdLogChol.html">pdLogChol</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">DMTA_0</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k1</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k2</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">g_qlogis</span> <span class="op">~</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/r/stats/anova.html">anova</a></span><span class="op">(</span><span class="va">f_parent_nlme_dfop_tc</span>, <span class="va">f_parent_nlme_dfop_tc_logchol</span><span class="op">)</span></code></pre></div>
+<p>While the SFO variants converge fast, the additional parameters introduced by this lead to convergence warnings for the DFOP model. The model comparison clearly show that adding correlations between random effects does not improve the fits.</p>
+<p>The selected model (DFOP with two-component error) fitted to the data assuming no correlations between random effects is shown below.</p>
+<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html">plot</a></span><span class="op">(</span><span class="va">f_parent_nlme_dfop_tc</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png" width="700"></p>
+</div>
+<div id="saemix" class="section level3">
+<h3 class="hasAnchor">
+<a href="#saemix" class="anchor"></a>saemix</h3>
+<p>The saemix package provided the first Open Source implementation of the Stochastic Approximation to the Expectation Maximisation (SAEM) algorithm. SAEM fits of degradation models can be conveniently performed using an interface to the saemix package available in current development versions of the mkin package.</p>
+<p>The corresponding SAEM fits of the four combinations of degradation and error models are fitted below. As there is no convergence criterion implemented in the saemix package, the convergence plots need to be manually checked for every fit. As we will compare the SAEM implementation of saemix to the results obtained using the nlmixr package later, we define control settings that work well for all the parent data fits shown in this vignette.</p>
+<div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va">saemix</span><span class="op">)</span>
+<span class="va">saemix_control</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/saemixControl.html">saemixControl</a></span><span class="op">(</span>nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">800</span>, <span class="fl">300</span><span class="op">)</span>, nb.chains <span class="op">=</span> <span class="fl">15</span>,
+    print <span class="op">=</span> <span class="cn">FALSE</span>, save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span>, displayProgress <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>
+<span class="va">saemix_control_moreiter</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/saemixControl.html">saemixControl</a></span><span class="op">(</span>nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">1600</span>, <span class="fl">300</span><span class="op">)</span>, nb.chains <span class="op">=</span> <span class="fl">15</span>,
+    print <span class="op">=</span> <span class="cn">FALSE</span>, save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span>, displayProgress <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
+<p>The convergence plot for the SFO model using constant variance is shown below.</p>
+<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_saemix_sfo_const</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
+  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_sfo_const</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_const-1.png" width="700"></p>
+<p>Obviously the default number of iterations is sufficient to reach convergence. This can also be said for the SFO fit using the two-component error model.</p>
+<div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_saemix_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
+  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_sfo_tc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_tc-1.png" width="700"></p>
+<p>When fitting the DFOP model with constant variance (see below), parameter convergence is not as unambiguous.</p>
+<div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_saemix_dfop_const</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
+  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_const</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_const-1.png" width="700"></p>
+<p>This is improved when the DFOP model is fitted with the two-component error model. Convergence of the variance of k2 is enhanced, it remains more or less stable already after 200 iterations of the first phase.</p>
+<div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_saemix_dfop_tc</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
+  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc-1.png" width="700"></p>
+<div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># The last time I tried (2022-01-11) this gives an error in solve.default(omega.eta)</span>
+<span class="co"># system is computationally singular: reciprocal condition number = 5e-17</span>
+<span class="co">#f_parent_saemix_dfop_tc_10k &lt;- mkin::saem(f_parent_mkin_tc["DFOP", ], quiet = TRUE,</span>
+<span class="co">#  control = saemix_control_10k, transformations = "saemix")</span>
+<span class="co"># Now we do not get a significant improvement by using twice the number of iterations</span>
+<span class="va">f_parent_saemix_dfop_tc_moreiter</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
+  control <span class="op">=</span> <span class="va">saemix_control_moreiter</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span>
+<span class="co">#plot(f_parent_saemix_dfop_tc_moreiter$so, plot.type = "convergence")</span></code></pre></div>
+<p>An alternative way to fit DFOP in combination with the two-component error model is to use the model formulation with transformed parameters as used per default in mkin.</p>
+<div class="sourceCode" id="cb18"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_saemix_dfop_tc_mkin</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
+  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"mkin"</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_mkin</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin-1.png" width="700"> As the convergence plots do not clearly indicate that the algorithm has converged, we again use four times the number of iterations, which leads to almost satisfactory convergence (see below).</p>
+<div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">saemix_control_muchmoreiter</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/saemixControl.html">saemixControl</a></span><span class="op">(</span>nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">3200</span>, <span class="fl">300</span><span class="op">)</span>, nb.chains <span class="op">=</span> <span class="fl">15</span>,
+    print <span class="op">=</span> <span class="cn">FALSE</span>, save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span>, displayProgress <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>
+<span class="va">f_parent_saemix_dfop_tc_mkin_muchmoreiter</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
+  control <span class="op">=</span> <span class="va">saemix_control_muchmoreiter</span>, transformations <span class="op">=</span> <span class="st">"mkin"</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_mkin_muchmoreiter</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_moreiter-1.png" width="700"></p>
+<p>The four combinations (SFO/const, SFO/tc, DFOP/const and DFOP/tc), including the variations of the DFOP/tc combination can be compared using the model comparison function of the saemix package:</p>
+<div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">AIC_parent_saemix</span> <span class="op">&lt;-</span> <span class="fu">saemix</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/compare.saemix.html">compare.saemix</a></span><span class="op">(</span>
+  <span class="va">f_parent_saemix_sfo_const</span><span class="op">$</span><span class="va">so</span>,
+  <span class="va">f_parent_saemix_sfo_tc</span><span class="op">$</span><span class="va">so</span>,
+  <span class="va">f_parent_saemix_dfop_const</span><span class="op">$</span><span class="va">so</span>,
+  <span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>,
+  <span class="va">f_parent_saemix_dfop_tc_moreiter</span><span class="op">$</span><span class="va">so</span>,
+  <span class="va">f_parent_saemix_dfop_tc_mkin</span><span class="op">$</span><span class="va">so</span>,
+  <span class="va">f_parent_saemix_dfop_tc_mkin_muchmoreiter</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></code></pre></div>
+<pre><code>Likelihoods calculated by importance sampling</code></pre>
+<div class="sourceCode" id="cb22"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/colnames.html">rownames</a></span><span class="op">(</span><span class="va">AIC_parent_saemix</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span>
+  <span class="st">"SFO const"</span>, <span class="st">"SFO tc"</span>, <span class="st">"DFOP const"</span>, <span class="st">"DFOP tc"</span>, <span class="st">"DFOP tc more iterations"</span>,
+  <span class="st">"DFOP tc mkintrans"</span>, <span class="st">"DFOP tc mkintrans more iterations"</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">AIC_parent_saemix</span><span class="op">)</span></code></pre></div>
+<pre><code>                                     AIC    BIC
+SFO const                         796.38 795.34
+SFO tc                            798.38 797.13
+DFOP const                        705.75 703.88
+DFOP tc                           665.65 663.57
+DFOP tc more iterations           665.88 663.80
+DFOP tc mkintrans                 674.02 671.94
+DFOP tc mkintrans more iterations 667.94 665.86</code></pre>
+<p>As in the case of nlme fits, the DFOP model fitted with two-component error (number 4) gives the lowest AIC. Using a much larger number of iterations does not significantly change the AIC. When the mkin transformations are used instead of the saemix transformations, we need four times the number of iterations to obtain a goodness of fit that almost as good as the result obtained with saemix transformations.</p>
+<p>In order to check the influence of the likelihood calculation algorithms implemented in saemix, the likelihood from Gaussian quadrature is added to the best fit, and the AIC values obtained from the three methods are compared.</p>
+<div class="sourceCode" id="cb24"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span> <span class="op">&lt;-</span>
+  <span class="fu">saemix</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/llgq.saemix.html">llgq.saemix</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span><span class="op">)</span>
+<span class="va">AIC_parent_saemix_methods</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span>
+  is <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"is"</span><span class="op">)</span>,
+  gq <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"gq"</span><span class="op">)</span>,
+  lin <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"lin"</span><span class="op">)</span>
+<span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">AIC_parent_saemix_methods</span><span class="op">)</span></code></pre></div>
+<pre><code>    is     gq    lin 
+665.65 665.68 665.11 </code></pre>
+<p>The AIC values based on importance sampling and Gaussian quadrature are very similar. Using linearisation is known to be less accurate, but still gives a similar value.</p>
+</div>
+<div id="nlmixr" class="section level3">
+<h3 class="hasAnchor">
+<a href="#nlmixr" class="anchor"></a>nlmixr</h3>
+<p>In the last years, a lot of effort has been put into the nlmixr package which is designed for pharmacokinetics, where nonlinear mixed-effects models are routinely used, but which can also be used for related data like chemical degradation data. A current development branch of the mkin package provides an interface between mkin and nlmixr. Here, we check if we get equivalent results when using a refined version of the First Order Conditional Estimation (FOCE) algorithm used in nlme, namely the First Order Conditional Estimation with Interaction (FOCEI), and the SAEM algorithm as implemented in nlmixr.</p>
+<p>First, the focei algorithm is used for the four model combinations. A number of warnings are produced with unclear significance.</p>
+<div class="sourceCode" id="cb26"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/nlmixrdevelopment/nlmixr">nlmixr</a></span><span class="op">)</span>
+<span class="va">f_parent_nlmixr_focei_sfo_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"focei"</span><span class="op">)</span>
+<span class="va">f_parent_nlmixr_focei_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"focei"</span><span class="op">)</span>
+<span class="va">f_parent_nlmixr_focei_dfop_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"focei"</span><span class="op">)</span>
+<span class="va">f_parent_nlmixr_focei_dfop_tc</span><span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"focei"</span><span class="op">)</span></code></pre></div>
+<div class="sourceCode" id="cb27"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">aic_nlmixr_focei</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html">sapply</a></span><span class="op">(</span>
+  <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_focei_sfo_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_focei_sfo_tc</span><span class="op">$</span><span class="va">nm</span>,
+    <span class="va">f_parent_nlmixr_focei_dfop_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_focei_dfop_tc</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span>,
+  <span class="va">AIC</span><span class="op">)</span></code></pre></div>
+<p>The AIC values are very close to the ones obtained with nlme which are repeated below for convenience.</p>
+<div class="sourceCode" id="cb28"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">aic_nlme</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html">sapply</a></span><span class="op">(</span>
+  <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_const</span>, <span class="cn">NA</span>, <span class="va">f_parent_nlme_sfo_tc</span>, <span class="va">f_parent_nlme_dfop_tc</span><span class="op">)</span>,
+  <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/NA.html">is.na</a></span><span class="op">(</span><span class="va">x</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span><span class="op">)</span><span class="op">)</span> <span class="cn">NA</span> <span class="kw">else</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html">AIC</a></span><span class="op">(</span><span class="va">x</span><span class="op">)</span><span class="op">)</span>
+<span class="va">aic_nlme_nlmixr_focei</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html">data.frame</a></span><span class="op">(</span>
+  <span class="st">"Degradation model"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"SFO"</span>, <span class="st">"DFOP"</span>, <span class="st">"DFOP"</span><span class="op">)</span>,
+  <span class="st">"Error model"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"constant variance"</span>, <span class="st">"two-component"</span><span class="op">)</span>, <span class="fl">2</span><span class="op">)</span>,
+  <span class="st">"AIC (nlme)"</span> <span class="op">=</span> <span class="va">aic_nlme</span>,
+  <span class="st">"AIC (nlmixr with FOCEI)"</span> <span class="op">=</span> <span class="va">aic_nlmixr_focei</span>,
+  check.names <span class="op">=</span> <span class="cn">FALSE</span>
+<span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span><span class="op">(</span><span class="va">aic_nlme_nlmixr_focei</span><span class="op">)</span></code></pre></div>
+<pre><code>  Degradation model       Error model AIC (nlme) AIC (nlmixr with FOCEI)
+1               SFO constant variance     796.60                  796.60
+2               SFO     two-component         NA                  798.64
+3              DFOP constant variance     798.60                  745.87
+4              DFOP     two-component     671.91                  740.42</code></pre>
+<p>Secondly, we use the SAEM estimation routine and check the convergence plots. The control parameters also used for the saemix fits are defined beforehand.</p>
+<div class="sourceCode" id="cb30"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">nlmixr_saem_control_800</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/saemControl.html">saemControl</a></span><span class="op">(</span>logLik <span class="op">=</span> <span class="cn">TRUE</span>,
+  nBurn <span class="op">=</span> <span class="fl">800</span>, nEm <span class="op">=</span> <span class="fl">300</span>, nmc <span class="op">=</span> <span class="fl">15</span><span class="op">)</span>
+<span class="va">nlmixr_saem_control_1000</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/saemControl.html">saemControl</a></span><span class="op">(</span>logLik <span class="op">=</span> <span class="cn">TRUE</span>,
+  nBurn <span class="op">=</span> <span class="fl">1000</span>, nEm <span class="op">=</span> <span class="fl">300</span>, nmc <span class="op">=</span> <span class="fl">15</span><span class="op">)</span>
+<span class="va">nlmixr_saem_control_10k</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/saemControl.html">saemControl</a></span><span class="op">(</span>logLik <span class="op">=</span> <span class="cn">TRUE</span>,
+  nBurn <span class="op">=</span> <span class="fl">10000</span>, nEm <span class="op">=</span> <span class="fl">1000</span>, nmc <span class="op">=</span> <span class="fl">15</span><span class="op">)</span></code></pre></div>
+<p>Then we fit SFO with constant variance</p>
+<div class="sourceCode" id="cb31"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_sfo_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
+  control <span class="op">=</span> <span class="va">nlmixr_saem_control_800</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_sfo_const</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_const-1.png" width="700"></p>
+<p>and SFO with two-component error.</p>
+<div class="sourceCode" id="cb32"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
+  control <span class="op">=</span> <span class="va">nlmixr_saem_control_800</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_sfo_tc</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_tc-1.png" width="700"></p>
+<p>For DFOP with constant variance, the convergence plots show considerable instability of the fit, which indicates overparameterisation which was already observed above for this model combination.</p>
+<div class="sourceCode" id="cb33"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_dfop_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
+  control <span class="op">=</span> <span class="va">nlmixr_saem_control_800</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_dfop_const</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_const-1.png" width="700"></p>
+<p>For DFOP with two-component error, a less erratic convergence is seen.</p>
+<div class="sourceCode" id="cb34"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_dfop_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
+  control <span class="op">=</span> <span class="va">nlmixr_saem_control_800</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_dfop_tc</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc-1.png" width="700"></p>
+<p>To check if an increase in the number of iterations improves the fit, we repeat the fit with 1000 iterations for the burn in phase and 300 iterations for the second phase.</p>
+<div class="sourceCode" id="cb35"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_dfop_tc_1000</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
+  control <span class="op">=</span> <span class="va">nlmixr_saem_control_1000</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_dfop_tc_1000</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_1k-1.png" width="700"></p>
+<p>Here the fit looks very similar, but we will see below that it shows a higher AIC than the fit with 800 iterations in the burn in phase. Next we choose 10 000 iterations for the burn in phase and 1000 iterations for the second phase for comparison with saemix.</p>
+<div class="sourceCode" id="cb36"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_dfop_tc_10k</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
+  control <span class="op">=</span> <span class="va">nlmixr_saem_control_10k</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_dfop_tc_10k</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
+<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-1.png" width="700"></p>
+<p>In the above convergence plot, the time course of ‘eta.DMTA_0’ and ‘log_k2’ indicate a false convergence.</p>
+<p>The AIC values are internally calculated using Gaussian quadrature.</p>
+<div class="sourceCode" id="cb37"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/stats/AIC.html">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_sfo_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_saem_sfo_tc</span><span class="op">$</span><span class="va">nm</span>,
+  <span class="va">f_parent_nlmixr_saem_dfop_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_saem_dfop_tc</span><span class="op">$</span><span class="va">nm</span>,
+  <span class="va">f_parent_nlmixr_saem_dfop_tc_1000</span><span class="op">$</span><span class="va">nm</span>,
+  <span class="va">f_parent_nlmixr_saem_dfop_tc_10k</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
+<pre><code>                                     df     AIC
+f_parent_nlmixr_saem_sfo_const$nm     5  798.71
+f_parent_nlmixr_saem_sfo_tc$nm        6  808.64
+f_parent_nlmixr_saem_dfop_const$nm    9 1995.96
+f_parent_nlmixr_saem_dfop_tc$nm      10  664.96
+f_parent_nlmixr_saem_dfop_tc_1000$nm 10  667.39
+f_parent_nlmixr_saem_dfop_tc_10k$nm  10     Inf</code></pre>
+<p>We can see that again, the DFOP/tc model shows the best goodness of fit. However, increasing the number of burn-in iterations from 800 to 1000 results in a higher AIC. If we further increase the number of iterations to 10 000 (burn-in) and 1000 (second phase), the AIC cannot be calculated for the nlmixr/saem fit, supporting that the fit did not converge properly.</p>
+</div>
+<div id="comparison" class="section level3">
+<h3 class="hasAnchor">
+<a href="#comparison" class="anchor"></a>Comparison</h3>
+<p>The following table gives the AIC values obtained with the three packages using the same control parameters (800 iterations burn-in, 300 iterations second phase, 15 chains).</p>
+<div class="sourceCode" id="cb39"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">AIC_all</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html">data.frame</a></span><span class="op">(</span>
+  check.names <span class="op">=</span> <span class="cn">FALSE</span>,
+  <span class="st">"Degradation model"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"SFO"</span>, <span class="st">"DFOP"</span>, <span class="st">"DFOP"</span><span class="op">)</span>,
+  <span class="st">"Error model"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"const"</span>, <span class="st">"tc"</span>, <span class="st">"const"</span>, <span class="st">"tc"</span><span class="op">)</span>,
+  nlme <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/AIC.html">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_const</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_tc</span><span class="op">)</span>, <span class="cn">NA</span>, <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlme_dfop_tc</span><span class="op">)</span><span class="op">)</span>,
+  nlmixr_focei <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html">sapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_focei_sfo_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_focei_sfo_tc</span><span class="op">$</span><span class="va">nm</span>,
+  <span class="va">f_parent_nlmixr_focei_dfop_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_focei_dfop_tc</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span>, <span class="va">AIC</span><span class="op">)</span>,
+  saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html">sapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">f_parent_saemix_sfo_const</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_parent_saemix_sfo_tc</span><span class="op">$</span><span class="va">so</span>,
+    <span class="va">f_parent_saemix_dfop_const</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span><span class="op">)</span>, <span class="va">AIC</span><span class="op">)</span>,
+  nlmixr_saem <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html">sapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_sfo_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_saem_sfo_tc</span><span class="op">$</span><span class="va">nm</span>,
+  <span class="va">f_parent_nlmixr_saem_dfop_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_saem_dfop_tc</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span>, <span class="va">AIC</span><span class="op">)</span>
+<span class="op">)</span>
+<span class="fu">kable</span><span class="op">(</span><span class="va">AIC_all</span><span class="op">)</span></code></pre></div>
+<table class="table">
+<thead><tr class="header">
+<th align="left">Degradation model</th>
+<th align="left">Error model</th>
+<th align="right">nlme</th>
+<th align="right">nlmixr_focei</th>
+<th align="right">saemix</th>
+<th align="right">nlmixr_saem</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td align="left">SFO</td>
+<td align="left">const</td>
+<td align="right">796.60</td>
+<td align="right">796.60</td>
+<td align="right">796.38</td>
+<td align="right">798.71</td>
+</tr>
+<tr class="even">
+<td align="left">SFO</td>
+<td align="left">tc</td>
+<td align="right">798.60</td>
+<td align="right">798.64</td>
+<td align="right">798.38</td>
+<td align="right">808.64</td>
+</tr>
+<tr class="odd">
+<td align="left">DFOP</td>
+<td align="left">const</td>
+<td align="right">NA</td>
+<td align="right">745.87</td>
+<td align="right">705.75</td>
+<td align="right">1995.96</td>
+</tr>
+<tr class="even">
+<td align="left">DFOP</td>
+<td align="left">tc</td>
+<td align="right">671.91</td>
+<td align="right">740.42</td>
+<td align="right">665.65</td>
+<td align="right">664.96</td>
+</tr>
+</tbody>
+</table>
+<div class="sourceCode" id="cb40"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/intervals.html">intervals</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">)</span></code></pre></div>
+<pre><code>Approximate 95% confidence intervals
+
+ Fixed effects:
+            lower       est.      upper
+DMTA_0 96.3087887 98.2761715 100.243554
+k1      0.0336893  0.0643651   0.095041
+k2      0.0062993  0.0088001   0.011301
+g       0.9100426  0.9524920   0.994941
+
+ Random effects:
+               lower      est.    upper
+sd(DMTA_0)   0.41868 2.0607469  3.70281
+sd(k1)       0.25611 0.5935653  0.93102
+sd(k2)     -10.29603 0.0029188 10.30187
+sd(g)        0.38083 1.0572543  1.73368
+
+ 
+      lower     est.    upper
+a.1 0.86253 1.061610 1.260690
+b.1 0.02262 0.029666 0.036712</code></pre>
+<div class="sourceCode" id="cb42"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/intervals.html">intervals</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">)</span></code></pre></div>
+<pre><code>Approximate 95% confidence intervals
+
+ Fixed effects:
+            lower       est.      upper
+DMTA_0 96.3087887 98.2761715 100.243554
+k1      0.0336893  0.0643651   0.095041
+k2      0.0062993  0.0088001   0.011301
+g       0.9100426  0.9524920   0.994941
+
+ Random effects:
+               lower      est.    upper
+sd(DMTA_0)   0.41868 2.0607469  3.70281
+sd(k1)       0.25611 0.5935653  0.93102
+sd(k2)     -10.29603 0.0029188 10.30187
+sd(g)        0.38083 1.0572543  1.73368
+
+ 
+      lower     est.    upper
+a.1 0.86253 1.061610 1.260690
+b.1 0.02262 0.029666 0.036712</code></pre>
+<div class="sourceCode" id="cb44"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/intervals.html">intervals</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_mkin_muchmoreiter</span><span class="op">)</span></code></pre></div>
+<pre><code>Approximate 95% confidence intervals
+
+ Fixed effects:
+            lower       est.      upper
+DMTA_0 96.3402070 98.2789378 100.217669
+k1      0.0397896  0.0641976   0.103578
+k2      0.0041987  0.0084427   0.016977
+g       0.8656257  0.9521509   0.983992
+
+ Random effects:
+                lower    est.   upper
+sd(DMTA_0)    0.38907 2.01821 3.64735
+sd(log_k1)    0.25653 0.59512 0.93371
+sd(log_k2)   -0.20501 0.37610 0.95721
+sd(g_qlogis)  0.39712 1.18296 1.96879
+
+ 
+       lower     est.    upper
+a.1 0.868558 1.070260 1.271963
+b.1 0.022461 0.029505 0.036548</code></pre>
+<div class="sourceCode" id="cb46"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/intervals.html">intervals</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_dfop_tc</span><span class="op">)</span></code></pre></div>
+<pre><code>Approximate 95% confidence intervals
+
+ Fixed effects:
+            lower       est.      upper
+DMTA_0 96.3224806 98.2941093 100.265738
+k1      0.0402270  0.0648200   0.104448
+k2      0.0068547  0.0093928   0.012871
+g       0.8764066  0.9501419   0.980848
+
+ Random effects:
+             lower     est. upper
+sd(DMTA_0)      NA 1.686509    NA
+sd(log_k1)      NA 0.592805    NA
+sd(log_k2)      NA 0.009766    NA
+sd(g_qlogis)    NA 1.082616    NA
+
+ 
+          lower     est. upper
+sigma_low    NA 1.081677    NA
+rsd_high     NA 0.032073    NA</code></pre>
+<div class="sourceCode" id="cb48"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/intervals.html">intervals</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_dfop_tc_10k</span><span class="op">)</span></code></pre></div>
+<pre><code>Approximate 95% confidence intervals
+
+ Fixed effects:
+            lower       est.      upper
+DMTA_0 96.2302085 98.1641090 100.098010
+k1      0.0398514  0.0643909   0.104041
+k2      0.0066292  0.0090784   0.012432
+g       0.8831478  0.9527284   0.981734
+
+ Random effects:
+             lower       est. upper
+sd(DMTA_0)      NA 1.6257e+00    NA
+sd(log_k1)      NA 5.9627e-01    NA
+sd(log_k2)      NA 5.8400e-07    NA
+sd(g_qlogis)    NA 1.0676e+00    NA
+
+ 
+          lower     est. upper
+sigma_low    NA 1.087722    NA
+rsd_high     NA 0.031883    NA</code></pre>
+</div>
+</div>
+</div>
+<div id="references" class="section level1">
+<h1 class="hasAnchor">
+<a href="#references" class="anchor"></a>References</h1>
+<!-- vim: set foldmethod=syntax: -->
+<div id="refs" class="references hanging-indent">
+<div id="ref-efsa_2018_dimethenamid">
+<p>EFSA. 2018. “Peer Review of the Pesticide Risk Assessment of the Active Substance Dimethenamid-P.” <em>EFSA Journal</em> 16 (4): 5211.</p>
+</div>
+<div id="ref-ranke2021">
+<p>Ranke, Johannes, Janina Wöltjen, Jana Schmidt, and Emmanuelle Comets. 2021. “Taking Kinetic Evaluations of Degradation Data to the Next Level with Nonlinear Mixed-Effects Models.” <em>Environments</em> 8 (8). <a href="https://doi.org/10.3390/environments8080071">https://doi.org/10.3390/environments8080071</a>.</p>
+</div>
+<div id="ref-dimethenamid_rar_2018_b8">
+<p>Rapporteur Member State Germany, Co-Rapporteur Member State Bulgaria. 2018. “Renewal Assessment Report Dimethenamid-P Volume 3 - B.8 Environmental fate and behaviour, Rev. 2 - November 2017.” <a href="https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716">https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716</a>.</p>
+</div>
+</div>
+</div>
+  </div>
+
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+
+        <nav id="toc" data-toggle="toc"><h2 data-toc-skip>Contents</h2>
+    </nav>
+</div>
+
+</div>
+
+
+
+      <footer><div class="copyright">
+  <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+</div>
+
+      </footer>
+</div>
+
+  
+
+
+  </body>
+</html>
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/web_only/dimethenamid_2018_files/accessible-code-block-0.0.1/empty-anchor.js
new file mode 100644
index 00000000..ca349fd6
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/accessible-code-block-0.0.1/empty-anchor.js
@@ -0,0 +1,15 @@
+// Hide empty <a> tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) -->
+// v0.0.1
+// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020.
+
+document.addEventListener('DOMContentLoaded', function() {
+  const codeList = document.getElementsByClassName("sourceCode");
+  for (var i = 0; i < codeList.length; i++) {
+    var linkList = codeList[i].getElementsByTagName('a');
+    for (var j = 0; j < linkList.length; j++) {
+      if (linkList[j].innerHTML === "") {
+        linkList[j].setAttribute('aria-hidden', 'true');
+      }
+    }
+  }
+});
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png
new file mode 100644
index 00000000..8eb464d1
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png
new file mode 100644
index 00000000..9e4b951a
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png
new file mode 100644
index 00000000..830fec65
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png
new file mode 100644
index 00000000..133249a4
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_const-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_const-1.png
new file mode 100644
index 00000000..27546d8d
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_const-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc-1.png
new file mode 100644
index 00000000..dcb8a2f0
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-1.png
new file mode 100644
index 00000000..7871ef69
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_1k-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_1k-1.png
new file mode 100644
index 00000000..69aaae8e
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_1k-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_const-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_const-1.png
new file mode 100644
index 00000000..4316ed0b
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_const-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_tc-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_tc-1.png
new file mode 100644
index 00000000..fb6dd51c
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_tc-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_const-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_const-1.png
new file mode 100644
index 00000000..fd4a686d
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_const-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc-1.png
new file mode 100644
index 00000000..25a82cbe
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_10k-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_10k-1.png
new file mode 100644
index 00000000..0975126f
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_10k-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin-1.png
new file mode 100644
index 00000000..9a6547a2
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_10k-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_10k-1.png
new file mode 100644
index 00000000..ae8c1555
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_10k-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_moreiter-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_moreiter-1.png
new file mode 100644
index 00000000..30ee4ea0
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_moreiter-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_moreiter-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_moreiter-1.png
new file mode 100644
index 00000000..1c8fc837
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_moreiter-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_const-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_const-1.png
new file mode 100644
index 00000000..c406f3f2
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_const-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_tc-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_tc-1.png
new file mode 100644
index 00000000..aaf2e0c8
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_tc-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png
new file mode 100644
index 00000000..ed978664
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/header-attrs-2.11/header-attrs.js b/docs/dev/articles/web_only/dimethenamid_2018_files/header-attrs-2.11/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/header-attrs-2.11/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/header-attrs-2.9/header-attrs.js b/docs/dev/articles/web_only/dimethenamid_2018_files/header-attrs-2.9/header-attrs.js
new file mode 100644
index 00000000..dd57d92e
--- /dev/null
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/header-attrs-2.9/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/dev/authors.html b/docs/dev/authors.html
index d592b39f..943cba1b 100644
--- a/docs/dev/authors.html
+++ b/docs/dev/authors.html
@@ -71,7 +71,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -147,15 +147,15 @@
       </li>
       <li>
         <p><strong>Katrin Lindenberger</strong>. Contributor. 
-        </p>
+        <br /><small>contributed to mkinresplot()</small></p>
       </li>
       <li>
         <p><strong>René Lehmann</strong>. Contributor. 
-        </p>
+        <br /><small>ilr() and invilr()</small></p>
       </li>
       <li>
         <p><strong>Eurofins Regulatory AG</strong>. Copyright holder. 
-        </p>
+        <br /><small>copyright for some of the contributions of JR 2012-2014</small></p>
       </li>
     </ul>
 
diff --git a/docs/dev/index.html b/docs/dev/index.html
index a4399963..fe365189 100644
--- a/docs/dev/index.html
+++ b/docs/dev/index.html
@@ -16,9 +16,14 @@
   2014).  Includes a function for conveniently defining differential equation
   models, model solution based on eigenvalues if possible or using numerical
   solvers.  If a C compiler (on windows: Rtools) is installed, differential
-  equation models are solved using automatically generated C functions.  Please
-  note that no warranty is implied for correctness of results or fitness for a
-  particular purpose.">
+  equation models are solved using automatically generated C functions.
+  Heteroscedasticity can be taken into account using variance by variable or
+  two-component error models as described by Ranke and Meinecke (2018)
+  &lt;doi:10.3390/environments6120124&gt;.  Interfaces to several nonlinear
+  mixed-effects model packages are available, some of which are described by
+  Ranke et al. (2021) &lt;doi:10.3390/environments8080071&gt;.  Please note that no
+  warranty is implied for correctness of results or fitness for a particular
+  purpose.">
 <meta name="robots" content="noindex">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
@@ -38,7 +43,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -133,23 +138,40 @@
 <div id="features" class="section level2">
 <h2 class="hasAnchor">
 <a href="#features" class="anchor"></a>Features</h2>
+<div id="general" class="section level3">
+<h3 class="hasAnchor">
+<a href="#general" class="anchor"></a>General</h3>
 <ul>
 <li>Highly flexible model specification using <a href="https://pkgdown.jrwb.de/mkin/reference/mkinmod.html"><code>mkinmod</code></a>, including equilibrium reactions and using the single first-order reversible binding (SFORB) model, which will automatically create two latent state variables for the observed variable.</li>
-<li>As of version 0.9-39, fitting of several models to several datasets, optionally in parallel, is supported, see for example <a href="https://pkgdown.jrwb.de/mkin/reference/plot.mmkin.html"><code>plot.mmkin</code></a>.</li>
 <li>Model solution (forward modelling) in the function <a href="https://pkgdown.jrwb.de/mkin/reference/mkinpredict.html"><code>mkinpredict</code></a> is performed either using the analytical solution for the case of parent only degradation, an eigenvalue based solution if only simple first-order (SFO) or SFORB kinetics are used in the model, or using a numeric solver from the <code>deSolve</code> package (default is <code>lsoda</code>).</li>
-<li>If a C compiler is installed, the kinetic models are compiled from automatically generated C code, see <a href="https://pkgdown.jrwb.de/mkin/articles/web_only/compiled_models.html">vignette <code>compiled_models</code></a>. The autogeneration of C code was inspired by the <a href="https://github.com/karlines/ccSolve"><code>ccSolve</code></a> package. Thanks to Karline Soetaert for her work on that.</li>
-<li>By default, kinetic rate constants and kinetic formation fractions are transformed internally using <a href="https://pkgdown.jrwb.de/mkin/reference/transform_odeparms.html"><code>transform_odeparms</code></a> so their estimators can more reasonably be expected to follow a normal distribution. This has the side effect that no constraints are needed in the optimisation. Thanks to René Lehmann for the nice cooperation on this, especially the isometric log-ratio transformation that is now used for the formation fractions.</li>
-<li>A side effect of this is that when parameter estimates are backtransformed to match the model definition, confidence intervals calculated from standard errors are also backtransformed to the correct scale, and will not include meaningless values like negative rate constants or formation fractions adding up to more than 1, which can not occur in a single experiment with a single defined radiolabel position.</li>
 <li>The usual one-sided t-test for significant difference from zero is nevertheless shown based on estimators for the untransformed parameters.</li>
 <li>Summary and plotting functions. The <code>summary</code> of an <code>mkinfit</code> object is in fact a full report that should give enough information to be able to approximately reproduce the fit with other tools.</li>
 <li>The chi-squared error level as defined in the FOCUS kinetics guidance (see below) is calculated for each observed variable.</li>
-<li>When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite.</li>
-<li>Three different error models can be selected using the argument <code>error_model</code> to the <a href="https://pkgdown.jrwb.de/mkin/reference/mkinfit.html"><code>mkinfit</code></a> function.</li>
 <li>The ‘variance by variable’ error model which is often fitted using Iteratively Reweighted Least Squares (IRLS) should now be specified as <code>error_model = "obs"</code>.</li>
-<li>A two-component error model similar to the one proposed by <a href="https://pkgdown.jrwb.de/mkin/reference/sigma_twocomp.html">Rocke and Lorenzato</a> can be selected using the argument <code>error_model = "tc"</code>.</li>
-<li>Nonlinear mixed-effects models can be created from fits of the same degradation model to different datasets for the same compound by using the <a href="https://pkgdown.jrwb.de/mkin/reference/nlme.mmkin.html">nlme.mmkin</a> method.</li>
 </ul>
 </div>
+<div id="unique-in-mkin" class="section level3">
+<h3 class="hasAnchor">
+<a href="#unique-in-mkin" class="anchor"></a>Unique in mkin</h3>
+<ul>
+<li>Three different error models can be selected using the argument <code>error_model</code> to the <a href="https://pkgdown.jrwb.de/mkin/reference/mkinfit.html"><code>mkinfit</code></a> function. A two-component error model similar to the one proposed by <a href="https://pkgdown.jrwb.de/mkin/reference/sigma_twocomp.html">Rocke and Lorenzato</a> can be selected using the argument <code>error_model = "tc"</code>.</li>
+<li>Model comparisons using the Akaike Information Criterion (AIC) are supported which can also be used for non-constant variance. In such cases the FOCUS chi-squared error level is not meaningful.</li>
+<li>By default, kinetic rate constants and kinetic formation fractions are transformed internally using <a href="https://pkgdown.jrwb.de/mkin/reference/transform_odeparms.html"><code>transform_odeparms</code></a> so their estimators can more reasonably be expected to follow a normal distribution.</li>
+<li>When parameter estimates are backtransformed to match the model definition, confidence intervals calculated from standard errors are also backtransformed to the correct scale, and will not include meaningless values like negative rate constants or formation fractions adding up to more than 1, which cannot occur in a single experiment with a single defined radiolabel position.</li>
+<li>When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite. Mathematically, the SFORB model is equivalent to the DFOP model used by other tools for biphasic metabolite curves. However, the SFORB model has the advantage that there is a mechanistic interpretation of the model parameters.</li>
+<li>Nonlinear mixed-effects models can be created from fits of the same degradation model to different datasets for the same compound by using the <a href="https://pkgdown.jrwb.de/mkin/reference/nlme.mmkin.html">nlme.mmkin</a> method. Note that the convergence of the nlme fits depends on the quality of the data. Convergence is better for simple models and data for many groups (e.g. soils).</li>
+</ul>
+</div>
+<div id="performance" class="section level3">
+<h3 class="hasAnchor">
+<a href="#performance" class="anchor"></a>Performance</h3>
+<ul>
+<li>Parallel fitting of several models to several datasets is supported, see for example <a href="https://pkgdown.jrwb.de/mkin/reference/plot.mmkin.html"><code>plot.mmkin</code></a>.</li>
+<li>If a C compiler is installed, the kinetic models are compiled from automatically generated C code, see <a href="https://pkgdown.jrwb.de/mkin/articles/web_only/compiled_models.html">vignette <code>compiled_models</code></a>. The autogeneration of C code was inspired by the <a href="https://github.com/karlines/ccSolve"><code>ccSolve</code></a> package. Thanks to Karline Soetaert for her work on that.</li>
+<li>Even if no compiler is installed, many degradation models still give <a href="https://pkgdown.jrwb.de/mkin/articles/web_only/benchmarks.html">very good performance</a>, as current versions of mkin also have <a href="https://jrwb.de/performance-improvements-mkin/">analytical solutions for some models with one metabolite</a>, and if SFO or SFORB are used for the parent compound, Eigenvalue based solutions of the degradation model are available.</li>
+</ul>
+</div>
+</div>
 <div id="gui" class="section level2">
 <h2 class="hasAnchor">
 <a href="#gui" class="anchor"></a>GUI</h2>
@@ -158,7 +180,7 @@
 <div id="news" class="section level2">
 <h2 class="hasAnchor">
 <a href="#news" class="anchor"></a>News</h2>
-<p>There is a ChangeLog, for the latest <a href="https://cran.r-project.org/package=mkin/news/news.html">CRAN release</a> and one for the <a href="https://github.com/jranke/mkin/blob/master/NEWS.md">github master branch</a>.</p>
+<p>There is a list of changes for the latest <a href="https://cran.r-project.org/package=mkin/news/news.html">CRAN release</a> and one for each github branch, e.g. <a href="https://github.com/jranke/mkin/blob/master/NEWS.md">the main branch</a>.</p>
 </div>
 <div id="credits-and-historical-remarks" class="section level2">
 <h2 class="hasAnchor">
@@ -169,8 +191,19 @@
 <p>The companion package <a href="http://kinfit.r-forge.r-project.org/kinfit_static/index.html">kinfit</a> (now deprecated) was <a href="https://r-forge.r-project.org/scm/viewvc.php?view=rev&amp;root=kinfit&amp;revision=2">started in 2008</a> and <a href="https://cran.r-project.org/src/contrib/Archive/kinfit/">first published</a> on CRAN on 01 May 2010.</p>
 <p>The first <code>mkin</code> code was <a href="https://r-forge.r-project.org/scm/viewvc.php?view=rev&amp;root=kinfit&amp;revision=8">published on 11 May 2010</a> and the <a href="https://cran.r-project.org/src/contrib/Archive/mkin/">first CRAN version</a> on 18 May 2010.</p>
 <p>In 2011, Bayer Crop Science started to distribute an R based successor to KinGUI named KinGUII whose R code is based on <code>mkin</code>, but which added, among other refinements, a closed source graphical user interface (GUI), iteratively reweighted least squares (IRLS) optimisation of the variance for each of the observed variables, and Markov Chain Monte Carlo (MCMC) simulation functionality, similar to what is available e.g. in the <code>FME</code> package.</p>
-<p>Somewhat in parallel, Syngenta has sponsored the development of an <code>mkin</code> and KinGUII based GUI application called CAKE, which also adds IRLS and MCMC, is more limited in the model formulation, but puts more weight on usability. CAKE is available for download from the <a href="https://www.tessella.com/showcase/computer-assisted-kinetic-evaluation">CAKE website</a>, where you can also find a zip archive of the R scripts derived from <code>mkin</code>, published under the GPL license.</p>
+<p>Somewhat in parallel, Syngenta has sponsored the development of an <code>mkin</code> and KinGUII based GUI application called CAKE, which also adds IRLS and MCMC, is more limited in the model formulation, but puts more weight on usability. CAKE is available for download from the <a href="https://cake-kinetics.org">CAKE website</a>, where you can also find a zip archive of the R scripts derived from <code>mkin</code>, published under the GPL license.</p>
 <p>Finally, there is <a href="https://github.com/zhenglei-gao/KineticEval">KineticEval</a>, which contains a further development of the scripts used for KinGUII, so the different tools will hopefully be able to learn from each other in the future as well.</p>
+<p>Thanks to René Lehmann, formerly working at the Umweltbundesamt, for the nice cooperation cooperation on parameter transformations, especially the isometric log-ratio transformation that is now used for formation fractions in case there are more than two transformation targets.</p>
+<p>Many inspirations for improvements of mkin resulted from doing kinetic evaluations of degradation data for my clients while working at Harlan Laboratories and at Eurofins Regulatory AG, and now as an independent consultant.</p>
+<p>Funding was received from the Umweltbundesamt in the course of the projects</p>
+<ul>
+<li>Project Number 27452 (Testing and validation of modelling software as an alternative to ModelMaker 4.0, 2014-2015)</li>
+<li>Project Number 56703 (Optimization of gmkin for routine use in the Umweltbundesamt, 2015)</li>
+<li>Project Number 92570 (Update of Project Number 27452, 2017-2018)</li>
+<li>Project Number 112407 (Testing the feasibility of using an error model according to Rocke and Lorenzato for more realistic parameter estimates in the kinetic evaluation of degradation data, 2018-2019)</li>
+<li>Project Number 120667 (Development of objective criteria for the evaluation of the visual fit in the kinetic evaluation of degradation data, 2019-2020)</li>
+<li>Project Number 146839 (Checking the feasibility of using mixed-effects models for the derivation of kinetic modelling parameters from degradation studies, 2020-2021)</li>
+</ul>
 </div>
 <div id="references" class="section level2">
 <h2 class="hasAnchor">
@@ -178,6 +211,11 @@
 <table class="table">
 <tr>
 <td>
+Ranke J, Wöltjen J, Schmidt J, and Comets E (2021) Taking kinetic evaluations of degradation data to the next level with nonlinear mixed-effects models. <i>Environments</i> <b>8</b> (8) 71 <a href="https://doi.org/10.3390/environments8080071">doi:10.3390/environments8080071</a>
+</td>
+</tr>
+<tr>
+<td>
 Ranke J, Meinecke S (2019) Error Models for the Kinetic Evaluation of Chemical Degradation Data <i>Environments</i> <b>6</b> (12) 124 <a href="https://doi.org/10.3390/environments6120124">doi:10.3390/environments6120124</a>
 </td>
 </tr>
@@ -226,7 +264,7 @@ Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic
 <h2>Dev status</h2>
 <ul class="list-unstyled">
 <li><a href="https://cran.r-project.org/package=mkin"><img src="https://www.r-pkg.org/badges/version/mkin"></a></li>
-<li><a href="https://travis-ci.com/jranke/mkin"><img src="https://travis-ci.com/jranke/mkin.svg?branch=master" alt="Build Status"></a></li>
+<li><a href="https://app.travis-ci.com/github/jranke/mkin"><img src="https://travis-ci.com/jranke/mkin.svg?branch=master" alt="Build Status"></a></li>
 <li><a href="https://codecov.io/github/jranke/mkin"><img src="https://codecov.io/github/jranke/mkin/branch/master/graphs/badge.svg" alt="codecov"></a></li>
 </ul>
 </div>
diff --git a/docs/dev/news/index.html b/docs/dev/news/index.html
index c3597efe..2a6b3d9d 100644
--- a/docs/dev/news/index.html
+++ b/docs/dev/news/index.html
@@ -71,7 +71,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -141,13 +141,69 @@
       <small>Source: <a href='https://github.com/jranke/mkin/blob/master/NEWS.md'><code>NEWS.md</code></a></small>
     </div>
 
-    <div id="mkin-0-9-50-4-unreleased" class="section level1">
-<h1 class="page-header" data-toc-text="0.9.50.4">
-<a href="#mkin-0-9-50-4-unreleased" class="anchor"></a>mkin 0.9.50.4 (unreleased)<small> Unreleased </small>
-</h1>
-<div id="general-new-features" class="section level2">
+    <div id="mkin-110-unreleased" class="section level1">
+<h1 class="page-header" data-toc-text="1.1.0">
+<a href="#mkin-110-unreleased" class="anchor"></a>mkin 1.1.0 (unreleased)</h1>
+<div id="mixed-effects-models" class="section level2">
+<h2 class="hasAnchor">
+<a href="#mixed-effects-models" class="anchor"></a>Mixed-effects models</h2>
+<ul>
+<li><p>Introduce an interface to nlmixr, supporting estimation methods ‘saem’ and ‘focei’: S3 method ‘nlmixr.mmkin’ using the helper functions ‘nlmixr_model’ and ‘nlmixr_data’ to set up nlmixr models for mmkin row objects, with summary and plot methods.</p></li>
+<li><p>Reintroduce the interface to current development versions (not on CRAN) of saemix, in particular the generic function ‘saem’ with a generator ‘saem.mmkin’, currently using ‘saemix_model’ and ‘saemix_data’, summary and plot methods</p></li>
+<li><p>‘mean_degparms’: New argument ‘test_log_parms’ that makes the function only consider log-transformed parameters where the untransformed parameters pass the t-test for a certain confidence level. This can be used to obtain more plausible starting parameters for the different mixed-effects model backends</p></li>
+<li><p>‘plot.mixed.mmkin’: Gains arguments ‘test_log_parms’ and ‘conf.level’</p></li>
+<li><p>‘vignettes/web_only/dimethenamid_2018.rmd’: Example evaluations of the dimethenamid data.</p></li>
+<li><p>‘intervals’: Provide methods of this nlme function for ‘nlmixr.mmkin’ and ‘saem.mmkin’ objects.</p></li>
+</ul>
+</div>
+</div>
+    <div id="mkin-105-2021-09-15" class="section level1">
+<h1 class="page-header" data-toc-text="1.0.5">
+<a href="#mkin-105-2021-09-15" class="anchor"></a>mkin 1.0.5 (2021-09-15)</h1>
+<ul>
+<li>‘dimethenamid_2018’: Correct the data for the Borstel soil. The five observations from Staudenmaier (2013) that were previously stored as “Borstel 2” are actually just a subset of the 16 observations in “Borstel 1” which is now simply “Borstel”</li>
+</ul>
+</div>
+    <div id="mkin-104-2021-04-20" class="section level1">
+<h1 class="page-header" data-toc-text="1.0.4">
+<a href="#mkin-104-2021-04-20" class="anchor"></a>mkin 1.0.4 (2021-04-20)</h1>
+<ul>
+<li><p>All plotting functions setting graphical parameters: Use on.exit() for resetting graphical parameters</p></li>
+<li><p>‘plot.mkinfit’: Use xlab and xlim for the residual plot if show_residuals is TRUE</p></li>
+<li><p>‘mmkin’: Use cores = 1 per default on Windows to make it easier for first time users</p></li>
+</ul>
+</div>
+    <div id="mkin-103-2021-02-15" class="section level1">
+<h1 class="page-header" data-toc-text="1.0.3">
+<a href="#mkin-103-2021-02-15" class="anchor"></a>mkin 1.0.3 (2021-02-15)</h1>
+<ul>
+<li>Review and update README, the ‘Introduction to mkin’ vignette and some of the help pages</li>
+</ul>
+</div>
+    <div id="mkin-102-unreleased" class="section level1">
+<h1 class="page-header" data-toc-text="1.0.2">
+<a href="#mkin-102-unreleased" class="anchor"></a>mkin 1.0.2 (Unreleased)</h1>
+<ul>
+<li>‘mkinfit’: Keep model names stored in ‘mkinmod’ objects, avoiding their loss in ‘gmkin’</li>
+</ul>
+</div>
+    <div id="mkin-101-2021-02-10" class="section level1">
+<h1 class="page-header" data-toc-text="1.0.1">
+<a href="#mkin-101-2021-02-10" class="anchor"></a>mkin 1.0.1 (2021-02-10)</h1>
+<ul>
+<li><p>‘confint.mmkin’, ‘nlme.mmkin’, ‘transform_odeparms’: Fix example code in dontrun sections that failed with current defaults</p></li>
+<li><p>‘logLik.mkinfit’: Improve example code to avoid warnings and show convenient syntax</p></li>
+<li><p>‘mkinresplot’: Re-add Katrin Lindenberger as coauthor who was accidentally removed long ago</p></li>
+<li><p>Remove tests relying on non-convergence of the FOMC fit to the FOCUS A dataset as this is platform dependent (revealed by the new additional tests on CRAN, thanks!)</p></li>
+<li><p>Increase test tolerance for some parameter comparisons that also proved to be platform dependent</p></li>
+</ul>
+</div>
+    <div id="mkin-100-2021-02-03" class="section level1">
+<h1 class="page-header" data-toc-text="1.0.0">
+<a href="#mkin-100-2021-02-03" class="anchor"></a>mkin 1.0.0 (2021-02-03)</h1>
+<div id="general" class="section level2">
 <h2 class="hasAnchor">
-<a href="#general-new-features" class="anchor"></a>General new features</h2>
+<a href="#general" class="anchor"></a>General</h2>
 <ul>
 <li><p>‘mkinmod’ models gain arguments ‘name’ and ‘dll_dir’ which, in conjunction with a current version of the ‘inline’ package, make it possible to still use the DLL used for fast ODE solutions with ‘deSolve’ after saving and restoring the ‘mkinmod’ object.</p></li>
 <li><p>‘mkindsg’ R6 class for groups of ‘mkinds’ datasets with metadata</p></li>
@@ -156,26 +212,23 @@
 <li><p>‘focus_soil_moisture’ FOCUS default soil moisture data</p></li>
 <li><p>‘update’ method for ‘mmkin’ objects</p></li>
 <li><p>‘transform_odeparms’, ‘backtransform_odeparms’: Use logit transformation for solitary fractions like the g parameter of the DFOP model, or formation fractions for a pathway to only one target variable</p></li>
+<li><p>‘plot.mmkin’: Add a ylab argument, making it possible to customize the y axis label of the panels on the left without affecting the residual plots. Reduce legend size and vertical distance between panels</p></li>
+<li><p>‘plot.mkinfit’: Change default ylab from “Observed” to “Residue”. Pass xlab to residual plot if show_residuals is TRUE.</p></li>
 </ul>
 </div>
-<div id="mixed-effects-models" class="section level2">
+<div id="mixed-effects-models-1" class="section level2">
 <h2 class="hasAnchor">
-<a href="#mixed-effects-models" class="anchor"></a>Mixed-effects models</h2>
+<a href="#mixed-effects-models-1" class="anchor"></a>Mixed-effects models</h2>
 <ul>
 <li><p>‘mixed.mmkin’ New container for mmkin objects for plotting with the ‘plot.mixed.mmkin’ method</p></li>
-<li><p>‘plot.mixed.mmkin’ method used for ‘nlme.mmkin’ and ‘saem.mmkin’, both inheriting from ‘mixed.mmkin’ (currently virtual)</p></li>
+<li><p>‘plot.mixed.mmkin’ method used for ‘nlme.mmkin’ inheriting from ‘mixed.mmkin’ (currently virtual)</p></li>
 <li><p>‘plot’, ‘summary’ and ‘print’ methods for ‘nlme.mmkin’ objects</p></li>
-<li><p>Add the current development version of the saemix package as a second, optional backend for mixed-effects models</p></li>
-<li><p>DESCRIPTION: Additional_repositories entry pointing to my drat repository on github for a suitable saemix version</p></li>
-<li><p>‘saemix_model’, ‘saemix_data’: Helper functions to fit nonlinear mixed-effects models for mmkin row objects.</p></li>
-<li><p>‘saem’ generic function to fit saemix models using ‘saemix_model’ and ‘saemix_data’, with a generator ‘saem.mmkin’, summary and plot methods</p></li>
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-50-3-2020-10-08" class="section level1">
+    <div id="mkin-09503-2020-10-08" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.50.3">
-<a href="#mkin-0-9-50-3-2020-10-08" class="anchor"></a>mkin 0.9.50.3 (2020-10-08)<small> 2020-10-08 </small>
-</h1>
+<a href="#mkin-09503-2020-10-08" class="anchor"></a>mkin 0.9.50.3 (2020-10-08)</h1>
 <ul>
 <li><p>‘parms’: Add a method for mmkin objects</p></li>
 <li><p>‘mmkin’ and ‘confint(method = ’profile’): Use all cores detected by parallel::detectCores() per default</p></li>
@@ -188,37 +241,33 @@
 <li><p>‘endpoints’: Back-calculate DT50 value from DT90 also for the biphasic models DFOP, HS and SFORB</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-50-2-2020-05-12" class="section level1">
+    <div id="mkin-09502-2020-05-12" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.50.2">
-<a href="#mkin-0-9-50-2-2020-05-12" class="anchor"></a>mkin 0.9.50.2 (2020-05-12)<small> 2020-05-12 </small>
-</h1>
+<a href="#mkin-09502-2020-05-12" class="anchor"></a>mkin 0.9.50.2 (2020-05-12)</h1>
 <ul>
 <li><p>Increase tolerance for a platform specific test results on the Solaris test machine on CRAN</p></li>
 <li><p>Updates and corrections (using the spelling package) to the documentation</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-50-1-2020-05-11" class="section level1">
+    <div id="mkin-09501-2020-05-11" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.50.1">
-<a href="#mkin-0-9-50-1-2020-05-11" class="anchor"></a>mkin 0.9.50.1 (2020-05-11)<small> 2020-05-11 </small>
-</h1>
+<a href="#mkin-09501-2020-05-11" class="anchor"></a>mkin 0.9.50.1 (2020-05-11)</h1>
 <ul>
 <li><p>Support SFORB with formation fractions</p></li>
 <li><p>‘mkinmod’: Make ‘use_of_ff’ = “max” the default</p></li>
 <li><p>Improve performance by a) avoiding expensive calls in the cost function like merge() and data.frame(), and b) by implementing analytical solutions for SFO-SFO and DFOP-SFO</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-49-11-2020-04-20" class="section level1">
+    <div id="mkin-094911-2020-04-20" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.49.11">
-<a href="#mkin-0-9-49-11-2020-04-20" class="anchor"></a>mkin 0.9.49.11 (2020-04-20)<small> 2020-04-20 </small>
-</h1>
+<a href="#mkin-094911-2020-04-20" class="anchor"></a>mkin 0.9.49.11 (2020-04-20)</h1>
 <ul>
 <li>Increase a test tolerance to make it pass on all CRAN check machines</li>
 </ul>
 </div>
-    <div id="mkin-0-9-49-10-2020-04-18" class="section level1">
+    <div id="mkin-094910-2020-04-18" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.49.10">
-<a href="#mkin-0-9-49-10-2020-04-18" class="anchor"></a>mkin 0.9.49.10 (2020-04-18)<small> 2020-04-18 </small>
-</h1>
+<a href="#mkin-094910-2020-04-18" class="anchor"></a>mkin 0.9.49.10 (2020-04-18)</h1>
 <ul>
 <li><p>‘nlme.mmkin’: An nlme method for mmkin row objects and an associated S3 class with print, plot, anova and endpoint methods</p></li>
 <li><p>‘mean_degparms, nlme_data, nlme_function’: Three new functions to facilitate building nlme models from mmkin row objects</p></li>
@@ -228,19 +277,17 @@
 <li><p>‘summary.mkinfit’: Add AIC, BIC and log likelihood to the summary</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-49-9-2020-03-31" class="section level1">
+    <div id="mkin-09499-2020-03-31" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.49.9">
-<a href="#mkin-0-9-49-9-2020-03-31" class="anchor"></a>mkin 0.9.49.9 (2020-03-31)<small> 2020-03-31 </small>
-</h1>
+<a href="#mkin-09499-2020-03-31" class="anchor"></a>mkin 0.9.49.9 (2020-03-31)</h1>
 <ul>
 <li><p>‘mkinmod’: Use pkgbuild::has_compiler instead of Sys.which(‘gcc’), as the latter will often fail even if Rtools are installed</p></li>
 <li><p>‘mkinds’: Use roxygen for documenting fields and methods of this R6 class</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-49-8-2020-01-09" class="section level1">
+    <div id="mkin-09498-2020-01-09" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.49.8">
-<a href="#mkin-0-9-49-8-2020-01-09" class="anchor"></a>mkin 0.9.49.8 (2020-01-09)<small> 2020-01-09 </small>
-</h1>
+<a href="#mkin-09498-2020-01-09" class="anchor"></a>mkin 0.9.49.8 (2020-01-09)</h1>
 <ul>
 <li><p>‘aw’: Generic function for calculating Akaike weights, methods for mkinfit objects and mmkin columns</p></li>
 <li><p>‘loftest’: Add a lack-of-fit test</p></li>
@@ -249,19 +296,17 @@
 <li><p>‘confint.mkinfit’: Make the quadratic approximation the default, as the likelihood profiling takes a lot of time, especially if the fit has more than three parameters</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-49-7-2019-11-01" class="section level1">
+    <div id="mkin-09497-2019-11-01" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.49.7">
-<a href="#mkin-0-9-49-7-2019-11-01" class="anchor"></a>mkin 0.9.49.7 (2019-11-01)<small> 2019-11-02 </small>
-</h1>
+<a href="#mkin-09497-2019-11-01" class="anchor"></a>mkin 0.9.49.7 (2019-11-01)</h1>
 <ul>
 <li><p>Fix a bug introduced in 0.9.49.6 that occurred if the direct optimisation yielded a higher likelihood than the three-step optimisation in the d_3 algorithm, which caused the fitted parameters of the three-step optimisation to be returned instead of the parameters of the direct optimisation</p></li>
 <li><p>Add a ‘nobs’ method for mkinfit objects, enabling the default ‘BIC’ method from the stats package. Also, add a ‘BIC’ method for mmkin column objects.</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-49-6-2019-10-31" class="section level1">
+    <div id="mkin-09496-2019-10-31" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.49.6">
-<a href="#mkin-0-9-49-6-2019-10-31" class="anchor"></a>mkin 0.9.49.6 (2019-10-31)<small> 2019-10-31 </small>
-</h1>
+<a href="#mkin-09496-2019-10-31" class="anchor"></a>mkin 0.9.49.6 (2019-10-31)</h1>
 <ul>
 <li><p>Implement a likelihood ratio test as a method for ‘lrtest’ from the lmtest package</p></li>
 <li><p>Add an ‘update’ method for mkinfit objects which remembers fitted parameters if appropriate</p></li>
@@ -278,10 +323,9 @@
 <li><p>Support summarizing ‘mkinfit’ objects generated with versions &lt; 0.9.49.5</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-49-5-2019-07-04" class="section level1">
+    <div id="mkin-09495-2019-07-04" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.49.5">
-<a href="#mkin-0-9-49-5-2019-07-04" class="anchor"></a>mkin 0.9.49.5 (2019-07-04)<small> 2019-07-04 </small>
-</h1>
+<a href="#mkin-09495-2019-07-04" class="anchor"></a>mkin 0.9.49.5 (2019-07-04)</h1>
 <ul>
 <li><p>Several algorithms for minimization of the negative log-likelihood for non-constant error models (two-component and variance by variable). In the case the error model is constant variance, least squares is used as this is more stable. The default algorithm ‘d_3’ tries direct minimization and a three-step procedure, and returns the model with the highest likelihood.</p></li>
 <li><p>The argument ‘reweight.method’ to mkinfit and mmkin is now obsolete, use ‘error_model’ and ‘error_model_algorithm’ instead</p></li>
@@ -297,10 +341,9 @@
 <li><p>Add example datasets obtained from risk assessment reports published by the European Food Safety Agency.</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-48-1-2019-03-04" class="section level1">
+    <div id="mkin-09481-2019-03-04" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.48.1">
-<a href="#mkin-0-9-48-1-2019-03-04" class="anchor"></a>mkin 0.9.48.1 (2019-03-04)<small> 2019-03-04 </small>
-</h1>
+<a href="#mkin-09481-2019-03-04" class="anchor"></a>mkin 0.9.48.1 (2019-03-04)</h1>
 <ul>
 <li><p>Add the function ‘logLik.mkinfit’ which makes it possible to calculate an AIC for mkinfit objects</p></li>
 <li><p>Add the function ‘AIC.mmkin’ to make it easy to compare columns of mmkin objects</p></li>
@@ -314,38 +357,34 @@
 <li><p>‘nafta’: Add evaluations according to the NAFTA guidance</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-47-5-2018-09-14" class="section level1">
+    <div id="mkin-09475-2018-09-14" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.47.5">
-<a href="#mkin-0-9-47-5-2018-09-14" class="anchor"></a>mkin 0.9.47.5 (2018-09-14)<small> 2018-09-14 </small>
-</h1>
+<a href="#mkin-09475-2018-09-14" class="anchor"></a>mkin 0.9.47.5 (2018-09-14)</h1>
 <ul>
 <li><p>Make the two-component error model stop in cases where it is inadequate to avoid nls crashes on windows</p></li>
 <li><p>Move two vignettes to a location where they will not be built on CRAN (to avoid more NOTES from long execution times)</p></li>
 <li><p>Exclude more example code from testing on CRAN to avoid NOTES from long execution times</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-47-3" class="section level1">
+    <div id="mkin-09473" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.47.3">
-<a href="#mkin-0-9-47-3" class="anchor"></a>mkin 0.9.47.3<small> Unreleased </small>
-</h1>
+<a href="#mkin-09473" class="anchor"></a>mkin 0.9.47.3</h1>
 <ul>
 <li><p>‘mkinfit’: Improve fitting the error model for reweight.method = ‘tc’. Add ‘manual’ to possible arguments for ‘weight’</p></li>
 <li><p>Test that FOCUS_2006_C can be evaluated with DFOP and reweight.method = ‘tc’</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-47-2-2018-07-19" class="section level1">
+    <div id="mkin-09472-2018-07-19" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.47.2">
-<a href="#mkin-0-9-47-2-2018-07-19" class="anchor"></a>mkin 0.9.47.2 (2018-07-19)<small> 2018-07-19 </small>
-</h1>
+<a href="#mkin-09472-2018-07-19" class="anchor"></a>mkin 0.9.47.2 (2018-07-19)</h1>
 <ul>
 <li><p>‘sigma_twocomp’: Rename ‘sigma_rl’ to ‘sigma_twocomp’ as the Rocke and Lorenzato model assumes lognormal distribution for large y. Correct references to the Rocke and Lorenzato model accordingly.</p></li>
 <li><p>‘mkinfit’: Use 1.1 as starting value for N parameter of IORE models to obtain convergence in more difficult cases. Show parameter names when ‘trace_parms’ is ‘TRUE’.</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-47-1-2018-02-06" class="section level1">
+    <div id="mkin-09471-2018-02-06" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.47.1">
-<a href="#mkin-0-9-47-1-2018-02-06" class="anchor"></a>mkin 0.9.47.1 (2018-02-06)<small> 2018-02-06 </small>
-</h1>
+<a href="#mkin-09471-2018-02-06" class="anchor"></a>mkin 0.9.47.1 (2018-02-06)</h1>
 <ul>
 <li><p>Skip some tests on CRAN and winbuilder to avoid timeouts</p></li>
 <li><p>‘test_data_from_UBA_2014’: Added this list of datasets containing experimental data used in the expertise from 2014</p></li>
@@ -355,46 +394,41 @@
 <li><p>‘summary.mkinfit’: Show versions of mkin and R used for fitting (not the ones used for the summary) if the fit was generated with mkin &gt;= 0.9.47.1</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-46-3-2017-11-16" class="section level1">
+    <div id="mkin-09463-2017-11-16" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.46.3">
-<a href="#mkin-0-9-46-3-2017-11-16" class="anchor"></a>mkin 0.9.46.3 (2017-11-16)<small> 2017-11-16 </small>
-</h1>
+<a href="#mkin-09463-2017-11-16" class="anchor"></a>mkin 0.9.46.3 (2017-11-16)</h1>
 <ul>
 <li><p><code>README.md</code>, <code>vignettes/mkin.Rmd</code>: URLs were updated</p></li>
 <li><p><code>synthetic_data_for_UBA</code>: Add the code used to generate the data in the interest of reproducibility</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-46-2-2017-10-10" class="section level1">
+    <div id="mkin-09462-2017-10-10" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.46.2">
-<a href="#mkin-0-9-46-2-2017-10-10" class="anchor"></a>mkin 0.9.46.2 (2017-10-10)<small> 2017-10-10 </small>
-</h1>
+<a href="#mkin-09462-2017-10-10" class="anchor"></a>mkin 0.9.46.2 (2017-10-10)</h1>
 <ul>
 <li><p>Converted the vignette FOCUS_Z from tex/pdf to markdown/html</p></li>
 <li><p><code>DESCRIPTION</code>: Add ORCID</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-46-1-2017-09-14" class="section level1">
+    <div id="mkin-09461-2017-09-14" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.46.1">
-<a href="#mkin-0-9-46-1-2017-09-14" class="anchor"></a>mkin 0.9.46.1 (2017-09-14)<small> 2017-09-14 </small>
-</h1>
+<a href="#mkin-09461-2017-09-14" class="anchor"></a>mkin 0.9.46.1 (2017-09-14)</h1>
 <ul>
 <li><p><code>plot.mkinfit</code>: Fix scaling of residual plots for the case of separate plots for each observed variable</p></li>
 <li><p><code>plot.mkinfit</code>: Use all data points of the fitted curve for y axis scaling for the case of separate plots for each observed variable</p></li>
 <li><p>Documentation updates</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-46-2017-07-24" class="section level1">
+    <div id="mkin-0946-2017-07-24" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.46">
-<a href="#mkin-0-9-46-2017-07-24" class="anchor"></a>mkin 0.9.46 (2017-07-24)<small> 2017-07-29 </small>
-</h1>
+<a href="#mkin-0946-2017-07-24" class="anchor"></a>mkin 0.9.46 (2017-07-24)</h1>
 <ul>
 <li>Remove <code>test_FOMC_ill-defined.R</code> as it is too platform dependent</li>
 </ul>
 </div>
-    <div id="mkin-0-9-45-2-2017-07-24" class="section level1">
+    <div id="mkin-09452-2017-07-24" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.45.2">
-<a href="#mkin-0-9-45-2-2017-07-24" class="anchor"></a>mkin 0.9.45.2 (2017-07-24)<small> 2017-07-22 </small>
-</h1>
+<a href="#mkin-09452-2017-07-24" class="anchor"></a>mkin 0.9.45.2 (2017-07-24)</h1>
 <ul>
 <li><p>Rename <code>twa</code> to <code>max_twa_parent</code> to avoid conflict with <code>twa</code> from my <code>pfm</code> package</p></li>
 <li><p>Update URLs in documentation</p></li>
@@ -402,10 +436,9 @@
 <li><p>Switch from <code>microbenchmark</code> to <code>rbenchmark</code> as the former is not supported on all platforms</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-45-1-2016-12-20" class="section level1">
+    <div id="mkin-09451-2016-12-20" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.45.1">
-<a href="#mkin-0-9-45-1-2016-12-20" class="anchor"></a>mkin 0.9.45.1 (2016-12-20)<small> Unreleased </small>
-</h1>
+<a href="#mkin-09451-2016-12-20" class="anchor"></a>mkin 0.9.45.1 (2016-12-20)</h1>
 <div id="new-features" class="section level2">
 <h2 class="hasAnchor">
 <a href="#new-features" class="anchor"></a>New features</h2>
@@ -414,10 +447,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-45-2016-12-08" class="section level1">
+    <div id="mkin-0945-2016-12-08" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.45">
-<a href="#mkin-0-9-45-2016-12-08" class="anchor"></a>mkin 0.9.45 (2016-12-08)<small> 2016-12-08 </small>
-</h1>
+<a href="#mkin-0945-2016-12-08" class="anchor"></a>mkin 0.9.45 (2016-12-08)</h1>
 <div id="minor-changes" class="section level2">
 <h2 class="hasAnchor">
 <a href="#minor-changes" class="anchor"></a>Minor changes</h2>
@@ -428,10 +460,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-44-2016-06-29" class="section level1">
+    <div id="mkin-0944-2016-06-29" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.44">
-<a href="#mkin-0-9-44-2016-06-29" class="anchor"></a>mkin 0.9.44 (2016-06-29)<small> 2016-06-29 </small>
-</h1>
+<a href="#mkin-0944-2016-06-29" class="anchor"></a>mkin 0.9.44 (2016-06-29)</h1>
 <div id="bug-fixes" class="section level2">
 <h2 class="hasAnchor">
 <a href="#bug-fixes" class="anchor"></a>Bug fixes</h2>
@@ -440,10 +471,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-43-2016-06-28" class="section level1">
+    <div id="mkin-0943-2016-06-28" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.43">
-<a href="#mkin-0-9-43-2016-06-28" class="anchor"></a>mkin 0.9.43 (2016-06-28)<small> 2016-06-28 </small>
-</h1>
+<a href="#mkin-0943-2016-06-28" class="anchor"></a>mkin 0.9.43 (2016-06-28)</h1>
 <div id="major-changes" class="section level2">
 <h2 class="hasAnchor">
 <a href="#major-changes" class="anchor"></a>Major changes</h2>
@@ -479,10 +509,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-42-2016-03-25" class="section level1">
+    <div id="mkin-0942-2016-03-25" class="section level1">
 <h1 class="page-header" data-toc-text="0.9.42">
-<a href="#mkin-0-9-42-2016-03-25" class="anchor"></a>mkin 0.9.42 (2016-03-25)<small> 2016-03-25 </small>
-</h1>
+<a href="#mkin-0942-2016-03-25" class="anchor"></a>mkin 0.9.42 (2016-03-25)</h1>
 <div id="major-changes-1" class="section level2">
 <h2 class="hasAnchor">
 <a href="#major-changes-1" class="anchor"></a>Major changes</h2>
@@ -500,10 +529,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-41-2015-11-09" class="section level1">
+    <div id="mkin-09-41-2015-11-09" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-41">
-<a href="#mkin-0-9-41-2015-11-09" class="anchor"></a>mkin 0.9-41 (2015-11-09)<small> 2015-11-09 </small>
-</h1>
+<a href="#mkin-09-41-2015-11-09" class="anchor"></a>mkin 0.9-41 (2015-11-09)</h1>
 <div id="minor-changes-3" class="section level2">
 <h2 class="hasAnchor">
 <a href="#minor-changes-3" class="anchor"></a>Minor changes</h2>
@@ -523,10 +551,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-40-2015-07-21" class="section level1">
+    <div id="mkin-09-40-2015-07-21" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-40">
-<a href="#mkin-0-9-40-2015-07-21" class="anchor"></a>mkin 0.9-40 (2015-07-21)<small> 2015-07-21 </small>
-</h1>
+<a href="#mkin-09-40-2015-07-21" class="anchor"></a>mkin 0.9-40 (2015-07-21)</h1>
 <div id="bug-fixes-3" class="section level2">
 <h2 class="hasAnchor">
 <a href="#bug-fixes-3" class="anchor"></a>Bug fixes</h2>
@@ -544,10 +571,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-39-2015-06-26" class="section level1">
+    <div id="mkin-09-39-2015-06-26" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-39">
-<a href="#mkin-0-9-39-2015-06-26" class="anchor"></a>mkin 0.9-39 (2015-06-26)<small> 2015-06-26 </small>
-</h1>
+<a href="#mkin-09-39-2015-06-26" class="anchor"></a>mkin 0.9-39 (2015-06-26)</h1>
 <div id="major-changes-2" class="section level2">
 <h2 class="hasAnchor">
 <a href="#major-changes-2" class="anchor"></a>Major changes</h2>
@@ -565,10 +591,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-38-2015-06-24" class="section level1">
+    <div id="mkin-09-38-2015-06-24" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-38">
-<a href="#mkin-0-9-38-2015-06-24" class="anchor"></a>mkin 0.9-38 (2015-06-24)<small> 2015-06-23 </small>
-</h1>
+<a href="#mkin-09-38-2015-06-24" class="anchor"></a>mkin 0.9-38 (2015-06-24)</h1>
 <div id="minor-changes-4" class="section level2">
 <h2 class="hasAnchor">
 <a href="#minor-changes-4" class="anchor"></a>Minor changes</h2>
@@ -586,10 +611,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-36-2015-06-21" class="section level1">
+    <div id="mkin-09-36-2015-06-21" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-36">
-<a href="#mkin-0-9-36-2015-06-21" class="anchor"></a>mkin 0.9-36 (2015-06-21)<small> 2015-06-21 </small>
-</h1>
+<a href="#mkin-09-36-2015-06-21" class="anchor"></a>mkin 0.9-36 (2015-06-21)</h1>
 <div id="major-changes-3" class="section level2">
 <h2 class="hasAnchor">
 <a href="#major-changes-3" class="anchor"></a>Major changes</h2>
@@ -608,10 +632,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-35-2015-05-15" class="section level1">
+    <div id="mkin-09-35-2015-05-15" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-35">
-<a href="#mkin-0-9-35-2015-05-15" class="anchor"></a>mkin 0.9-35 (2015-05-15)<small> 2015-05-15 </small>
-</h1>
+<a href="#mkin-09-35-2015-05-15" class="anchor"></a>mkin 0.9-35 (2015-05-15)</h1>
 <div id="major-changes-4" class="section level2">
 <h2 class="hasAnchor">
 <a href="#major-changes-4" class="anchor"></a>Major changes</h2>
@@ -640,10 +663,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-34-2014-11-22" class="section level1">
+    <div id="mkin-09-34-2014-11-22" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-34">
-<a href="#mkin-0-9-34-2014-11-22" class="anchor"></a>mkin 0.9-34 (2014-11-22)<small> 2014-11-22 </small>
-</h1>
+<a href="#mkin-09-34-2014-11-22" class="anchor"></a>mkin 0.9-34 (2014-11-22)</h1>
 <div id="new-features-2" class="section level2">
 <h2 class="hasAnchor">
 <a href="#new-features-2" class="anchor"></a>New features</h2>
@@ -662,10 +684,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-33-2014-10-22" class="section level1">
+    <div id="mkin-09-33-2014-10-22" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-33">
-<a href="#mkin-0-9-33-2014-10-22" class="anchor"></a>mkin 0.9-33 (2014-10-22)<small> 2014-10-12 </small>
-</h1>
+<a href="#mkin-09-33-2014-10-22" class="anchor"></a>mkin 0.9-33 (2014-10-22)</h1>
 <div id="new-features-3" class="section level2">
 <h2 class="hasAnchor">
 <a href="#new-features-3" class="anchor"></a>New features</h2>
@@ -695,17 +716,16 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-32-2014-07-24" class="section level1">
+    <div id="mkin-09-32-2014-07-24" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-32">
-<a href="#mkin-0-9-32-2014-07-24" class="anchor"></a>mkin 0.9-32 (2014-07-24)<small> 2014-07-24 </small>
-</h1>
+<a href="#mkin-09-32-2014-07-24" class="anchor"></a>mkin 0.9-32 (2014-07-24)</h1>
 <div id="new-features-4" class="section level2">
 <h2 class="hasAnchor">
 <a href="#new-features-4" class="anchor"></a>New features</h2>
 <ul>
 <li><p>The number of degrees of freedom is difficult to define in the case of ilr transformation of formation fractions. Now for each source compartment the number of ilr parameters (=number of optimised parameters) is divided by the number of pathways to metabolites (=number of affected data series) which leads to fractional degrees of freedom in some cases.</p></li>
 <li><p>The default for the initial value for the first state value is now taken from the mean of the observations at time zero, if available.</p></li>
-<li><p>The kinetic model can alternatively be specified with a shorthand name for parent only degradation models, e.g. <code>SFO</code>, or <code>DFOP</code>.</p></li>
+<li><p>The kinetic model can alternatively be specified with a shorthand name for parent only degradation models, e.g. <code>SFO</code>, or <code>DFOP</code>.</p></li>
 <li><p>Optimisation method, number of model evaluations and time elapsed during optimisation are given in the summary of mkinfit objects.</p></li>
 <li><p>The maximum number of iterations in the optimisation algorithm can be specified using the argument <code>maxit.modFit</code> to the mkinfit function.</p></li>
 <li><p>mkinfit gives a warning when the fit does not converge (does not apply to SANN method). This warning is included in the summary.</p></li>
@@ -732,10 +752,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-31-2014-07-14" class="section level1">
+    <div id="mkin-09-31-2014-07-14" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-31">
-<a href="#mkin-0-9-31-2014-07-14" class="anchor"></a>mkin 0.9-31 (2014-07-14)<small> 2014-07-14 </small>
-</h1>
+<a href="#mkin-09-31-2014-07-14" class="anchor"></a>mkin 0.9-31 (2014-07-14)</h1>
 <div id="bug-fixes-9" class="section level2">
 <h2 class="hasAnchor">
 <a href="#bug-fixes-9" class="anchor"></a>Bug fixes</h2>
@@ -744,10 +763,9 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-30-2014-07-11" class="section level1">
+    <div id="mkin-09-30-2014-07-11" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-30">
-<a href="#mkin-0-9-30-2014-07-11" class="anchor"></a>mkin 0.9-30 (2014-07-11)<small> 2014-07-11 </small>
-</h1>
+<a href="#mkin-09-30-2014-07-11" class="anchor"></a>mkin 0.9-30 (2014-07-11)</h1>
 <div id="new-features-5" class="section level2">
 <h2 class="hasAnchor">
 <a href="#new-features-5" class="anchor"></a>New features</h2>
@@ -759,7 +777,7 @@
 <h2 class="hasAnchor">
 <a href="#major-changes-5" class="anchor"></a>Major changes</h2>
 <ul>
-<li><p>The original and the transformed parameters now have different names (e.g. <code>k_parent</code> and <code>log_k_parent</code>. They also differ in how many they are when we have formation fractions but no pathway to sink.</p></li>
+<li><p>The original and the transformed parameters now have different names (e.g. <code>k_parent</code> and <code>log_k_parent</code>. They also differ in how many they are when we have formation fractions but no pathway to sink.</p></li>
 <li><p>The order of some of the information blocks in <code>print.summary.mkinfit.R()</code> has been ordered in a more logical way.</p></li>
 </ul>
 </div>
@@ -776,30 +794,27 @@
 </ul>
 </div>
 </div>
-    <div id="mkin-0-9-29-2014-06-27" class="section level1">
+    <div id="mkin-09-29-2014-06-27" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-29">
-<a href="#mkin-0-9-29-2014-06-27" class="anchor"></a>mkin 0.9-29 (2014-06-27)<small> 2014-06-27 </small>
-</h1>
+<a href="#mkin-09-29-2014-06-27" class="anchor"></a>mkin 0.9-29 (2014-06-27)</h1>
 <ul>
 <li><p>R/mkinresplot.R: Make it possible to specify <code>xlim</code></p></li>
 <li><p>R/geometric_mean.R, man/geometric_mean.Rd: Add geometric mean function</p></li>
 <li><p>R/endpoints.R, man/endpoints.Rd: Calculate additional (pseudo)-DT50 values for FOMC, DFOP, HS and SFORB. Avoid calculation of formation fractions from rate constants when they are directly fitted</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-28-2014-05-20" class="section level1">
+    <div id="mkin-09-28-2014-05-20" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-28">
-<a href="#mkin-0-9-28-2014-05-20" class="anchor"></a>mkin 0.9-28 (2014-05-20)<small> 2014-05-20 </small>
-</h1>
+<a href="#mkin-09-28-2014-05-20" class="anchor"></a>mkin 0.9-28 (2014-05-20)</h1>
 <ul>
 <li><p>Do not backtransform confidence intervals for formation fractions if more than one compound is formed, as such parameters only define the pathways as a set</p></li>
 <li><p>Add historical remarks and some background to the main package vignette</p></li>
 <li><p>Correct ‘isotropic’ into ‘isometric’ for the ilr transformation</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-27-2014-05-10" class="section level1">
+    <div id="mkin-09-27-2014-05-10" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-27">
-<a href="#mkin-0-9-27-2014-05-10" class="anchor"></a>mkin 0.9-27 (2014-05-10)<small> 2014-05-10 </small>
-</h1>
+<a href="#mkin-09-27-2014-05-10" class="anchor"></a>mkin 0.9-27 (2014-05-10)</h1>
 <ul>
 <li><p>Fork the GUI into a separate package <a href="https://github.com/jranke/gmkin">gmkin</a></p></li>
 <li><p>DESCRIPTION, NAMESPACE, TODO: Adapt and add copyright information</p></li>
@@ -820,20 +835,18 @@
 <li><p>Add gmkin workspace datasets FOCUS_2006_gmkin and FOCUS_2006_Z_gmkin</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-24-2013-11-06" class="section level1">
+    <div id="mkin-09-24-2013-11-06" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-24">
-<a href="#mkin-0-9-24-2013-11-06" class="anchor"></a>mkin 0.9-24 (2013-11-06)<small> 2013-11-06 </small>
-</h1>
+<a href="#mkin-09-24-2013-11-06" class="anchor"></a>mkin 0.9-24 (2013-11-06)</h1>
 <ul>
 <li><p>Bugfix re-enabling the fixing of any combination of initial values for state variables</p></li>
 <li><p>Default values for kinetic rate constants are not all 0.1 any more but are “salted” with a small increment to avoid numeric artefacts with the eigenvalue based solutions</p></li>
 <li><p>Backtransform fixed ODE parameters for the summary</p></li>
 </ul>
 </div>
-    <div id="mkin-0-9-22-2013-10-26" class="section level1">
+    <div id="mkin-09-22-2013-10-26" class="section level1">
 <h1 class="page-header" data-toc-text="0.9-22">
-<a href="#mkin-0-9-22-2013-10-26" class="anchor"></a>mkin 0.9-22 (2013-10-26)<small> 2013-10-26 </small>
-</h1>
+<a href="#mkin-09-22-2013-10-26" class="anchor"></a>mkin 0.9-22 (2013-10-26)</h1>
 <ul>
 <li><p>Get rid of the optimisation step in <code>mkinerrmin</code> - this was unnecessary. Thanks to KinGUII for the inspiration - actually this is equation 6-2 in FOCUS kinetics p. 91 that I had overlooked originally</p></li>
 <li><p>Fix <code>plot.mkinfit</code> as it passed graphical arguments like main to the solver</p></li>
diff --git a/docs/dev/pkgdown.yml b/docs/dev/pkgdown.yml
index 2963e810..cecb4035 100644
--- a/docs/dev/pkgdown.yml
+++ b/docs/dev/pkgdown.yml
@@ -1,4 +1,4 @@
-pandoc: 2.2.1
+pandoc: 2.9.2.1
 pkgdown: 1.6.1
 pkgdown_sha: ~
 articles:
@@ -10,7 +10,8 @@ articles:
   web_only/NAFTA_examples: NAFTA_examples.html
   web_only/benchmarks: benchmarks.html
   web_only/compiled_models: compiled_models.html
-last_built: 2021-01-25T13:41Z
+  web_only/dimethenamid_2018: dimethenamid_2018.html
+last_built: 2022-01-11T18:34Z
 urls:
   reference: https://pkgdown.jrwb.de/mkin/reference
   article: https://pkgdown.jrwb.de/mkin/articles
diff --git a/docs/dev/reference/AIC.mmkin.html b/docs/dev/reference/AIC.mmkin.html
index b332257e..8c791755 100644
--- a/docs/dev/reference/AIC.mmkin.html
+++ b/docs/dev/reference/AIC.mmkin.html
@@ -73,7 +73,7 @@ same dataset." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ same dataset." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -187,8 +187,7 @@ dataframe if there are several fits in the column).</p>
   <span class='va'>f</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span><span class='op'>)</span>,
     <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='st'>"FOCUS A"</span> <span class='op'>=</span> <span class='va'>FOCUS_2006_A</span>,
          <span class='st'>"FOCUS C"</span> <span class='op'>=</span> <span class='va'>FOCUS_2006_C</span><span class='op'>)</span>, cores <span class='op'>=</span> <span class='fl'>1</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Optimisation did not converge:</span>
-#&gt; <span class='warning'>false convergence (8)</span></div><div class='input'>  <span class='co'># We get a warning because the FOMC model does not converge for the</span>
+  <span class='co'># We get a warning because the FOMC model does not converge for the</span>
   <span class='co'># FOCUS A dataset, as it is well described by SFO</span>
 
   <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span><span class='st'>"SFO"</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>)</span> <span class='co'># We get a single number for a single fit</span>
@@ -199,15 +198,15 @@ dataframe if there are several fits in the column).</p>
   <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;      df      AIC
 #&gt; SFO   3 55.28197
-#&gt; FOMC  4 57.28211
+#&gt; FOMC  4 57.28222
 #&gt; DFOP  5 59.28197</div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span>, k <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span> <span class='co'># If we do not penalize additional parameters, we get nearly the same</span>
 </div><div class='output co'>#&gt;      df      AIC
 #&gt; SFO   3 49.28197
-#&gt; FOMC  4 49.28211
+#&gt; FOMC  4 49.28222
 #&gt; DFOP  5 49.28197</div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>BIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>)</span>        <span class='co'># Comparing the BIC gives a very similar picture</span>
 </div><div class='output co'>#&gt;      df      BIC
 #&gt; SFO   3 55.52030
-#&gt; FOMC  4 57.59987
+#&gt; FOMC  4 57.59999
 #&gt; DFOP  5 59.67918</div><div class='input'>
   <span class='co'># For FOCUS C, the more complex models fit better</span>
   <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS C"</span><span class='op'>]</span><span class='op'>)</span>
diff --git a/docs/dev/reference/CAKE_export.html b/docs/dev/reference/CAKE_export.html
index d3f45bf0..e187772f 100644
--- a/docs/dev/reference/CAKE_export.html
+++ b/docs/dev/reference/CAKE_export.html
@@ -73,7 +73,7 @@ specified as well." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ specified as well." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/D24_2014.html b/docs/dev/reference/D24_2014.html
index 2498c58e..9ecb6330 100644
--- a/docs/dev/reference/D24_2014.html
+++ b/docs/dev/reference/D24_2014.html
@@ -77,7 +77,7 @@ constrained by data protection regulations." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
diff --git a/docs/dev/reference/DFOP.solution.html b/docs/dev/reference/DFOP.solution.html
index 22b28732..3ee660f2 100644
--- a/docs/dev/reference/DFOP.solution.html
+++ b/docs/dev/reference/DFOP.solution.html
@@ -73,7 +73,7 @@ two exponential decline functions." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ two exponential decline functions." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/Extract.mmkin.html b/docs/dev/reference/Extract.mmkin.html
index 0c02355f..8381337a 100644
--- a/docs/dev/reference/Extract.mmkin.html
+++ b/docs/dev/reference/Extract.mmkin.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -121,7 +121,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -220,7 +220,7 @@ either a list of mkinfit objects or a single mkinfit object.</p></td>
   <span class='op'>)</span>
 </div><div class='output co'>#&gt; $par
 #&gt;  parent_0 log_alpha  log_beta     sigma 
-#&gt; 99.666193  2.549849  5.050586  1.890202 
+#&gt; 99.666192  2.549850  5.050586  1.890202 
 #&gt; 
 #&gt; $objective
 #&gt; [1] 28.58291
diff --git a/docs/dev/reference/FOCUS_2006_DFOP_ref_A_to_B.html b/docs/dev/reference/FOCUS_2006_DFOP_ref_A_to_B.html
index 16d12378..a188430d 100644
--- a/docs/dev/reference/FOCUS_2006_DFOP_ref_A_to_B.html
+++ b/docs/dev/reference/FOCUS_2006_DFOP_ref_A_to_B.html
@@ -76,7 +76,7 @@ in this fit." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ in this fit." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/FOCUS_2006_FOMC_ref_A_to_F.html b/docs/dev/reference/FOCUS_2006_FOMC_ref_A_to_F.html
index 6b8a6119..0bee1c16 100644
--- a/docs/dev/reference/FOCUS_2006_FOMC_ref_A_to_F.html
+++ b/docs/dev/reference/FOCUS_2006_FOMC_ref_A_to_F.html
@@ -76,7 +76,7 @@ in this fit." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ in this fit." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/FOCUS_2006_HS_ref_A_to_F.html b/docs/dev/reference/FOCUS_2006_HS_ref_A_to_F.html
index 076a66c6..460fdf0d 100644
--- a/docs/dev/reference/FOCUS_2006_HS_ref_A_to_F.html
+++ b/docs/dev/reference/FOCUS_2006_HS_ref_A_to_F.html
@@ -76,7 +76,7 @@ in this fit." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ in this fit." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/FOCUS_2006_SFO_ref_A_to_F.html b/docs/dev/reference/FOCUS_2006_SFO_ref_A_to_F.html
index 08f1d416..c1a5fdff 100644
--- a/docs/dev/reference/FOCUS_2006_SFO_ref_A_to_F.html
+++ b/docs/dev/reference/FOCUS_2006_SFO_ref_A_to_F.html
@@ -76,7 +76,7 @@ in this fit." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ in this fit." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/FOCUS_2006_datasets.html b/docs/dev/reference/FOCUS_2006_datasets.html
index df4651f8..fb3a8f17 100644
--- a/docs/dev/reference/FOCUS_2006_datasets.html
+++ b/docs/dev/reference/FOCUS_2006_datasets.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -121,7 +121,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/FOMC.solution.html b/docs/dev/reference/FOMC.solution.html
index ed5c4d21..1a5124e0 100644
--- a/docs/dev/reference/FOMC.solution.html
+++ b/docs/dev/reference/FOMC.solution.html
@@ -73,7 +73,7 @@ a decreasing rate constant." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ a decreasing rate constant." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/HS.solution.html b/docs/dev/reference/HS.solution.html
index 8cf5c7f9..1b79e8b6 100644
--- a/docs/dev/reference/HS.solution.html
+++ b/docs/dev/reference/HS.solution.html
@@ -73,7 +73,7 @@ between them." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ between them." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/IORE.solution.html b/docs/dev/reference/IORE.solution.html
index 29d615dc..bc17319e 100644
--- a/docs/dev/reference/IORE.solution.html
+++ b/docs/dev/reference/IORE.solution.html
@@ -73,7 +73,7 @@ a concentration dependent rate constant." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ a concentration dependent rate constant." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/NAFTA_SOP_2015-1.png b/docs/dev/reference/NAFTA_SOP_2015-1.png
index 4d823d77..4f0d7833 100644
--- a/docs/dev/reference/NAFTA_SOP_2015-1.png
+++ b/docs/dev/reference/NAFTA_SOP_2015-1.png
diff --git a/docs/dev/reference/NAFTA_SOP_2015.html b/docs/dev/reference/NAFTA_SOP_2015.html
index 4243faba..fb65fec8 100644
--- a/docs/dev/reference/NAFTA_SOP_2015.html
+++ b/docs/dev/reference/NAFTA_SOP_2015.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -121,7 +121,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/NAFTA_SOP_Attachment-1.png b/docs/dev/reference/NAFTA_SOP_Attachment-1.png
index 6eb10cde..9417685e 100644
--- a/docs/dev/reference/NAFTA_SOP_Attachment-1.png
+++ b/docs/dev/reference/NAFTA_SOP_Attachment-1.png
diff --git a/docs/dev/reference/NAFTA_SOP_Attachment.html b/docs/dev/reference/NAFTA_SOP_Attachment.html
index de984984..311a7c61 100644
--- a/docs/dev/reference/NAFTA_SOP_Attachment.html
+++ b/docs/dev/reference/NAFTA_SOP_Attachment.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -121,7 +121,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -193,7 +193,7 @@
 #&gt;          Estimate   Pr(&gt;t)   Lower    Upper
 #&gt; parent_0 9.99e+01 1.41e-26 98.8116 101.0810
 #&gt; k1       2.67e-02 5.05e-06  0.0243   0.0295
-#&gt; k2       2.42e-12 5.00e-01  0.0000      Inf
+#&gt; k2       2.26e-12 5.00e-01  0.0000      Inf
 #&gt; g        6.47e-01 3.67e-06  0.6248   0.6677
 #&gt; sigma    1.27e+00 8.91e-06  0.8395   1.6929
 #&gt; 
@@ -202,7 +202,7 @@
 #&gt;      DT50     DT90 DT50_rep
 #&gt; SFO  67.7 2.25e+02 6.77e+01
 #&gt; IORE 58.2 1.07e+03 3.22e+02
-#&gt; DFOP 55.5 5.22e+11 2.86e+11
+#&gt; DFOP 55.5 5.59e+11 3.07e+11
 #&gt; 
 #&gt; Representative half-life:
 #&gt; [1] 321.51</div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>nafta_att_p5a</span><span class='op'>)</span>
diff --git a/docs/dev/reference/Rplot001.png b/docs/dev/reference/Rplot001.png
index bca41e2c..05495b6a 100644
--- a/docs/dev/reference/Rplot001.png
+++ b/docs/dev/reference/Rplot001.png
diff --git a/docs/dev/reference/Rplot002.png b/docs/dev/reference/Rplot002.png
index 9b97a634..bb1f61b8 100644
--- a/docs/dev/reference/Rplot002.png
+++ b/docs/dev/reference/Rplot002.png
diff --git a/docs/dev/reference/Rplot003.png b/docs/dev/reference/Rplot003.png
index ff6bc722..c90dd2e2 100644
--- a/docs/dev/reference/Rplot003.png
+++ b/docs/dev/reference/Rplot003.png
diff --git a/docs/dev/reference/Rplot004.png b/docs/dev/reference/Rplot004.png
index 98dd019e..c279f831 100644
--- a/docs/dev/reference/Rplot004.png
+++ b/docs/dev/reference/Rplot004.png
diff --git a/docs/dev/reference/Rplot005.png b/docs/dev/reference/Rplot005.png
index 5e675828..92c7cc2d 100644
--- a/docs/dev/reference/Rplot005.png
+++ b/docs/dev/reference/Rplot005.png
diff --git a/docs/dev/reference/Rplot006.png b/docs/dev/reference/Rplot006.png
index da52f580..4c728f4e 100644
--- a/docs/dev/reference/Rplot006.png
+++ b/docs/dev/reference/Rplot006.png
diff --git a/docs/dev/reference/Rplot007.png b/docs/dev/reference/Rplot007.png
index fce3b6ee..10b7455a 100644
--- a/docs/dev/reference/Rplot007.png
+++ b/docs/dev/reference/Rplot007.png
diff --git a/docs/dev/reference/SFO.solution.html b/docs/dev/reference/SFO.solution.html
index b3e7ef9a..43c434c6 100644
--- a/docs/dev/reference/SFO.solution.html
+++ b/docs/dev/reference/SFO.solution.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -121,7 +121,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/SFORB.solution.html b/docs/dev/reference/SFORB.solution.html
index 9310212f..807fbe5c 100644
--- a/docs/dev/reference/SFORB.solution.html
+++ b/docs/dev/reference/SFORB.solution.html
@@ -76,7 +76,7 @@ and no substance in the bound fraction." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ and no substance in the bound fraction." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/add_err-1.png b/docs/dev/reference/add_err-1.png
index d2ce797f..9ba106db 100644
--- a/docs/dev/reference/add_err-1.png
+++ b/docs/dev/reference/add_err-1.png
diff --git a/docs/dev/reference/add_err-2.png b/docs/dev/reference/add_err-2.png
index ac220c9e..3088c40e 100644
--- a/docs/dev/reference/add_err-2.png
+++ b/docs/dev/reference/add_err-2.png
diff --git a/docs/dev/reference/add_err-3.png b/docs/dev/reference/add_err-3.png
index 40465b71..493a761a 100644
--- a/docs/dev/reference/add_err-3.png
+++ b/docs/dev/reference/add_err-3.png
diff --git a/docs/dev/reference/add_err.html b/docs/dev/reference/add_err.html
index 6ea30515..b94cef29 100644
--- a/docs/dev/reference/add_err.html
+++ b/docs/dev/reference/add_err.html
@@ -74,7 +74,7 @@ may depend on the predicted value and is specified as a standard deviation." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -123,7 +123,7 @@ may depend on the predicted value and is specified as a standard deviation." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/aw.html b/docs/dev/reference/aw.html
index ef808dd8..3b06f2a6 100644
--- a/docs/dev/reference/aw.html
+++ b/docs/dev/reference/aw.html
@@ -74,7 +74,7 @@ by Burnham and Anderson (2004)." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -123,7 +123,7 @@ by Burnham and Anderson (2004)." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/confint.mkinfit.html b/docs/dev/reference/confint.mkinfit.html
index 515a7c9e..2237a539 100644
--- a/docs/dev/reference/confint.mkinfit.html
+++ b/docs/dev/reference/confint.mkinfit.html
@@ -79,7 +79,7 @@ method of Venzon and Moolgavkar (1988)." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -128,7 +128,7 @@ method of Venzon and Moolgavkar (1988)." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -273,68 +273,69 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
 <span class='kw'>if</span> <span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/identical.html'>identical</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/Sys.getenv.html'>Sys.getenv</a></span><span class='op'>(</span><span class='st'>"NOT_CRAN"</span><span class='op'>)</span>, <span class='st'>"true"</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>{</span>
   <span class='va'>n_cores</span> <span class='op'>&lt;-</span> <span class='fu'>parallel</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/r/parallel/detectCores.html'>detectCores</a></span><span class='op'>(</span><span class='op'>)</span> <span class='op'>-</span> <span class='fl'>1</span>
 <span class='op'>}</span> <span class='kw'>else</span> <span class='op'>{</span>
- <span class='va'>n_cores</span> <span class='op'>&lt;-</span> <span class='fl'>1</span>
+  <span class='va'>n_cores</span> <span class='op'>&lt;-</span> <span class='fl'>1</span>
 <span class='op'>}</span>
 <span class='kw'>if</span> <span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/Sys.getenv.html'>Sys.getenv</a></span><span class='op'>(</span><span class='st'>"TRAVIS"</span><span class='op'>)</span> <span class='op'>!=</span> <span class='st'>""</span><span class='op'>)</span> <span class='va'>n_cores</span> <span class='op'>=</span> <span class='fl'>1</span>
 <span class='kw'>if</span> <span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/Sys.info.html'>Sys.info</a></span><span class='op'>(</span><span class='op'>)</span><span class='op'>[</span><span class='st'>"sysname"</span><span class='op'>]</span> <span class='op'>==</span> <span class='st'>"Windows"</span><span class='op'>)</span> <span class='va'>n_cores</span> <span class='op'>=</span> <span class='fl'>1</span>
 
-<span class='va'>SFO_SFO</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"m1"</span><span class='op'>)</span>, m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='va'>SFO_SFO</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"m1"</span><span class='op'>)</span>, m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>,
+  use_of_ff <span class='op'>=</span> <span class='st'>"min"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 <span class='va'>SFO_SFO.ff</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"m1"</span><span class='op'>)</span>, m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>,
   use_of_ff <span class='op'>=</span> <span class='st'>"max"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 <span class='va'>f_d_1</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>FOCUS_2006_D</span>, <span class='va'>value</span> <span class='op'>!=</span> <span class='fl'>0</span><span class='op'>)</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 <span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span><span class='op'>(</span><span class='va'>ci_profile</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_d_1</span>, method <span class='op'>=</span> <span class='st'>"profile"</span>, cores <span class='op'>=</span> <span class='fl'>1</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;    user  system elapsed 
-#&gt;   3.900   0.929   3.548 </div><div class='input'><span class='co'># Using more cores does not save much time here, as parent_0 takes up most of the time</span>
+#&gt;   4.295   1.008   3.959 </div><div class='input'><span class='co'># Using more cores does not save much time here, as parent_0 takes up most of the time</span>
 <span class='co'># If we additionally exclude parent_0 (the confidence of which is often of</span>
-<span class='co'># minor interest), we get a nice performance improvement from about 50</span>
-<span class='co'># seconds to about 12 seconds if we use at least four cores</span>
+<span class='co'># minor interest), we get a nice performance improvement if we use at least 4 cores</span>
 <span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span><span class='op'>(</span><span class='va'>ci_profile_no_parent_0</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_d_1</span>, method <span class='op'>=</span> <span class='st'>"profile"</span>,
   <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"k_parent_sink"</span>, <span class='st'>"k_parent_m1"</span>, <span class='st'>"k_m1_sink"</span>, <span class='st'>"sigma"</span><span class='op'>)</span>, cores <span class='op'>=</span> <span class='va'>n_cores</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Profiling the likelihood</span></div><div class='output co'>#&gt; <span class='warning'>Warning: scheduled cores 3, 2, 1 encountered errors in user code, all values of the jobs will be affected</span></div><div class='output co'>#&gt; <span class='error'>Error in dimnames(x) &lt;- dn: length of 'dimnames' [2] not equal to array extent</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 0.009 0.034 0.257</span></div><div class='input'><span class='va'>ci_profile</span>
-</div><div class='output co'>#&gt;                        2.5%        97.5%
-#&gt; parent_0       96.456003640 1.027703e+02
-#&gt; k_parent        0.090911032 1.071578e-01
-#&gt; k_m1            0.003892606 6.702775e-03
-#&gt; f_parent_to_m1  0.471328495 5.611550e-01
-#&gt; sigma           2.535612399 3.985263e+00</div><div class='input'><span class='va'>ci_quadratic_transformed</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_d_1</span>, method <span class='op'>=</span> <span class='st'>"quadratic"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'>Profiling the likelihood</span></div><div class='output co'>#&gt;    user  system elapsed 
+#&gt;   1.451   0.126   0.923 </div><div class='input'><span class='va'>ci_profile</span>
+</div><div class='output co'>#&gt;                       2.5%        97.5%
+#&gt; parent_0      96.456003640 1.027703e+02
+#&gt; k_parent_sink  0.040762501 5.549764e-02
+#&gt; k_parent_m1    0.046786482 5.500879e-02
+#&gt; k_m1_sink      0.003892605 6.702778e-03
+#&gt; sigma          2.535612399 3.985263e+00</div><div class='input'><span class='va'>ci_quadratic_transformed</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_d_1</span>, method <span class='op'>=</span> <span class='st'>"quadratic"</span><span class='op'>)</span>
 <span class='va'>ci_quadratic_transformed</span>
-</div><div class='output co'>#&gt;                        2.5%        97.5%
-#&gt; parent_0       96.403833585 102.79311650
-#&gt; k_parent        0.090823771   0.10725430
-#&gt; k_m1            0.004012219   0.00689755
-#&gt; f_parent_to_m1  0.469118824   0.55959615
-#&gt; sigma           2.396089689   3.85491806</div><div class='input'><span class='va'>ci_quadratic_untransformed</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_d_1</span>, method <span class='op'>=</span> <span class='st'>"quadratic"</span>, transformed <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;                       2.5%        97.5%
+#&gt; parent_0      96.403841640 1.027931e+02
+#&gt; k_parent_sink  0.041033378 5.596269e-02
+#&gt; k_parent_m1    0.046777902 5.511931e-02
+#&gt; k_m1_sink      0.004012217 6.897547e-03
+#&gt; sigma          2.396089689 3.854918e+00</div><div class='input'><span class='va'>ci_quadratic_untransformed</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_d_1</span>, method <span class='op'>=</span> <span class='st'>"quadratic"</span>, transformed <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
 <span class='va'>ci_quadratic_untransformed</span>
-</div><div class='output co'>#&gt;                        2.5%        97.5%
-#&gt; parent_0       96.403833589 1.027931e+02
-#&gt; k_parent        0.090491913 1.069035e-01
-#&gt; k_m1            0.003835485 6.685823e-03
-#&gt; f_parent_to_m1  0.469113477 5.598387e-01
-#&gt; sigma           2.396089689 3.854918e+00</div><div class='input'><span class='co'># Against the expectation based on Bates and Watts (1988), the confidence</span>
+</div><div class='output co'>#&gt;                       2.5%        97.5%
+#&gt; parent_0      96.403841645 102.79312449
+#&gt; k_parent_sink  0.040485331   0.05535491
+#&gt; k_parent_m1    0.046611582   0.05494364
+#&gt; k_m1_sink      0.003835483   0.00668582
+#&gt; sigma          2.396089689   3.85491806</div><div class='input'><span class='co'># Against the expectation based on Bates and Watts (1988), the confidence</span>
 <span class='co'># intervals based on the internal parameter transformation are less</span>
 <span class='co'># congruent with the likelihood based intervals. Note the superiority of the</span>
 <span class='co'># interval based on the untransformed fit for k_m1_sink</span>
 <span class='va'>rel_diffs_transformed</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span><span class='op'>(</span><span class='op'>(</span><span class='va'>ci_quadratic_transformed</span> <span class='op'>-</span> <span class='va'>ci_profile</span><span class='op'>)</span><span class='op'>/</span><span class='va'>ci_profile</span><span class='op'>)</span>
 <span class='va'>rel_diffs_untransformed</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span><span class='op'>(</span><span class='op'>(</span><span class='va'>ci_quadratic_untransformed</span> <span class='op'>-</span> <span class='va'>ci_profile</span><span class='op'>)</span><span class='op'>/</span><span class='va'>ci_profile</span><span class='op'>)</span>
 <span class='va'>rel_diffs_transformed</span> <span class='op'>&lt;</span> <span class='va'>rel_diffs_untransformed</span>
-</div><div class='output co'>#&gt;                 2.5% 97.5%
-#&gt; parent_0       FALSE FALSE
-#&gt; k_parent        TRUE  TRUE
-#&gt; k_m1           FALSE FALSE
-#&gt; f_parent_to_m1  TRUE FALSE
-#&gt; sigma           TRUE FALSE</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span><span class='op'>(</span><span class='va'>rel_diffs_transformed</span>, <span class='fl'>3</span><span class='op'>)</span>
-</div><div class='output co'>#&gt;                    2.5%    97.5%
-#&gt; parent_0       0.000541 0.000222
-#&gt; k_parent       0.000960 0.000900
-#&gt; k_m1           0.030700 0.029100
-#&gt; f_parent_to_m1 0.004690 0.002780
-#&gt; sigma          0.055000 0.032700</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span><span class='op'>(</span><span class='va'>rel_diffs_untransformed</span>, <span class='fl'>3</span><span class='op'>)</span>
-</div><div class='output co'>#&gt;                    2.5%    97.5%
-#&gt; parent_0       0.000541 0.000222
-#&gt; k_parent       0.004610 0.002370
-#&gt; k_m1           0.014700 0.002530
-#&gt; f_parent_to_m1 0.004700 0.002350
-#&gt; sigma          0.055000 0.032700</div><div class='input'>
+</div><div class='output co'>#&gt;                2.5% 97.5%
+#&gt; parent_0      FALSE FALSE
+#&gt; k_parent_sink  TRUE FALSE
+#&gt; k_parent_m1    TRUE FALSE
+#&gt; k_m1_sink     FALSE FALSE
+#&gt; sigma         FALSE FALSE</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span><span class='op'>(</span><span class='va'>rel_diffs_transformed</span>, <span class='fl'>3</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;                   2.5%    97.5%
+#&gt; parent_0      0.000541 0.000222
+#&gt; k_parent_sink 0.006650 0.008380
+#&gt; k_parent_m1   0.000183 0.002010
+#&gt; k_m1_sink     0.030700 0.029100
+#&gt; sigma         0.055000 0.032700</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span><span class='op'>(</span><span class='va'>rel_diffs_untransformed</span>, <span class='fl'>3</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;                   2.5%    97.5%
+#&gt; parent_0      0.000541 0.000222
+#&gt; k_parent_sink 0.006800 0.002570
+#&gt; k_parent_m1   0.003740 0.001180
+#&gt; k_m1_sink     0.014700 0.002530
+#&gt; sigma         0.055000 0.032700</div><div class='input'>
 
 <span class='co'># Investigate a case with formation fractions</span>
 <span class='va'>f_d_2</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO.ff</span>, <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>FOCUS_2006_D</span>, <span class='va'>value</span> <span class='op'>!=</span> <span class='fl'>0</span><span class='op'>)</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
@@ -348,14 +349,14 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
 #&gt; sigma           2.535612399 3.985263e+00</div><div class='input'><span class='va'>ci_quadratic_transformed_ff</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_d_2</span>, method <span class='op'>=</span> <span class='st'>"quadratic"</span><span class='op'>)</span>
 <span class='va'>ci_quadratic_transformed_ff</span>
 </div><div class='output co'>#&gt;                        2.5%        97.5%
-#&gt; parent_0       96.403833585 102.79311650
+#&gt; parent_0       96.403833578 102.79311649
 #&gt; k_parent        0.090823771   0.10725430
 #&gt; k_m1            0.004012219   0.00689755
 #&gt; f_parent_to_m1  0.469118824   0.55959615
 #&gt; sigma           2.396089689   3.85491806</div><div class='input'><span class='va'>ci_quadratic_untransformed_ff</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_d_2</span>, method <span class='op'>=</span> <span class='st'>"quadratic"</span>, transformed <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
 <span class='va'>ci_quadratic_untransformed_ff</span>
 </div><div class='output co'>#&gt;                        2.5%        97.5%
-#&gt; parent_0       96.403833589 1.027931e+02
+#&gt; parent_0       96.403833583 1.027931e+02
 #&gt; k_parent        0.090491913 1.069035e-01
 #&gt; k_m1            0.003835485 6.685823e-03
 #&gt; f_parent_to_m1  0.469113477 5.598387e-01
@@ -373,15 +374,15 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
 #&gt; f_parent_to_m1  TRUE FALSE
 #&gt; sigma           TRUE FALSE</div><div class='input'><span class='va'>rel_diffs_transformed_ff</span>
 </div><div class='output co'>#&gt;                        2.5%        97.5%
-#&gt; parent_0       0.0005408689 0.0002217234
+#&gt; parent_0       0.0005408690 0.0002217233
 #&gt; k_parent       0.0009598532 0.0009001864
-#&gt; k_m1           0.0307283044 0.0290588365
-#&gt; f_parent_to_m1 0.0046881768 0.0027780063
+#&gt; k_m1           0.0307283041 0.0290588361
+#&gt; f_parent_to_m1 0.0046881769 0.0027780063
 #&gt; sigma          0.0550252516 0.0327066836</div><div class='input'><span class='va'>rel_diffs_untransformed_ff</span>
 </div><div class='output co'>#&gt;                        2.5%        97.5%
-#&gt; parent_0       0.0005408689 0.0002217233
-#&gt; k_parent       0.0046102155 0.0023732281
-#&gt; k_m1           0.0146740688 0.0025291817
+#&gt; parent_0       0.0005408689 0.0002217232
+#&gt; k_parent       0.0046102156 0.0023732281
+#&gt; k_m1           0.0146740690 0.0025291820
 #&gt; f_parent_to_m1 0.0046995211 0.0023457712
 #&gt; sigma          0.0550252516 0.0327066836</div><div class='input'>
 <span class='co'># The profiling for the following fit does not finish in a reasonable time,</span>
@@ -395,18 +396,18 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
   error_model_algorithm <span class='op'>=</span> <span class='st'>"direct"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_tc_2</span>, method <span class='op'>=</span> <span class='st'>"quadratic"</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;                        2.5%        97.5%
-#&gt; parent_0       94.596126334 106.19944007
-#&gt; k_M1            0.037605408   0.04490759
-#&gt; k_M2            0.008568739   0.01087675
-#&gt; f_parent_to_M1  0.021463787   0.62023881
-#&gt; f_parent_to_M2  0.015166531   0.37975349
-#&gt; k1              0.273897467   0.33388084
-#&gt; k2              0.018614555   0.02250379
-#&gt; g               0.671943606   0.73583278
-#&gt; sigma_low       0.251283766   0.83992113
-#&gt; rsd_high        0.040411014   0.07662005</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_tc_2</span>, <span class='st'>"parent_0"</span>, method <span class='op'>=</span> <span class='st'>"quadratic"</span><span class='op'>)</span>
+#&gt; parent_0       94.596039609 106.19954892
+#&gt; k_M1            0.037605368   0.04490762
+#&gt; k_M2            0.008568731   0.01087676
+#&gt; f_parent_to_M1  0.021462489   0.62023882
+#&gt; f_parent_to_M2  0.015165617   0.37975348
+#&gt; k1              0.273897348   0.33388101
+#&gt; k2              0.018614554   0.02250378
+#&gt; g               0.671943411   0.73583305
+#&gt; sigma_low       0.251283495   0.83992077
+#&gt; rsd_high        0.040411024   0.07662008</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_tc_2</span>, <span class='st'>"parent_0"</span>, method <span class='op'>=</span> <span class='st'>"quadratic"</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;              2.5%    97.5%
-#&gt; parent_0 94.59613 106.1994</div><div class='input'><span class='co'># }</span>
+#&gt; parent_0 94.59604 106.1995</div><div class='input'><span class='co'># }</span>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/dev/reference/create_deg_func.html b/docs/dev/reference/create_deg_func.html
index 4945d157..65a682bb 100644
--- a/docs/dev/reference/create_deg_func.html
+++ b/docs/dev/reference/create_deg_func.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -121,7 +121,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -181,8 +181,8 @@
     deSolve <span class='op'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, solution_type <span class='op'>=</span> <span class='st'>"deSolve"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
     replications <span class='op'>=</span> <span class='fl'>2</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; <span class='message'>Loading required package: rbenchmark</span></div><div class='output co'>#&gt;         test replications elapsed relative user.self sys.self user.child
-#&gt; 1 analytical            2   0.396    1.000     0.395        0          0
-#&gt; 2    deSolve            2   0.694    1.753     0.693        0          0
+#&gt; 1 analytical            2   0.396     1.00     0.396        0          0
+#&gt; 2    deSolve            2   0.709     1.79     0.707        0          0
 #&gt;   sys.child
 #&gt; 1         0
 #&gt; 2         0</div><div class='input'>  <span class='va'>DFOP_SFO</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>
@@ -193,8 +193,8 @@
     deSolve <span class='op'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>DFOP_SFO</span>, <span class='va'>FOCUS_D</span>, solution_type <span class='op'>=</span> <span class='st'>"deSolve"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
     replications <span class='op'>=</span> <span class='fl'>2</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;         test replications elapsed relative user.self sys.self user.child
-#&gt; 1 analytical            2   0.838    1.000     0.838    0.001          0
-#&gt; 2    deSolve            2   1.573    1.877     1.572    0.000          0
+#&gt; 1 analytical            2   0.844    1.000     0.844        0          0
+#&gt; 2    deSolve            2   1.624    1.924     1.624        0          0
 #&gt;   sys.child
 #&gt; 1         0
 #&gt; 2         0</div><div class='input'><span class='co'># }</span>
diff --git a/docs/dev/reference/dimethenamid_2018-1.png b/docs/dev/reference/dimethenamid_2018-1.png
new file mode 100644
index 00000000..b8c5355f
--- /dev/null
+++ b/docs/dev/reference/dimethenamid_2018-1.png
diff --git a/docs/dev/reference/dimethenamid_2018-2.png b/docs/dev/reference/dimethenamid_2018-2.png
new file mode 100644
index 00000000..3b8a123b
--- /dev/null
+++ b/docs/dev/reference/dimethenamid_2018-2.png
diff --git a/docs/dev/reference/dimethenamid_2018.html b/docs/dev/reference/dimethenamid_2018.html
index 21dea623..60c15ade 100644
--- a/docs/dev/reference/dimethenamid_2018.html
+++ b/docs/dev/reference/dimethenamid_2018.html
@@ -77,7 +77,7 @@ constrained by data protection regulations." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -162,13 +162,13 @@ constrained by data protection regulations.</p>
 
     <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
 
-    <p>An <a href='mkindsg.html'>mkindsg</a> object grouping eight datasets with some meta information</p>
+    <p>An <a href='mkindsg.html'>mkindsg</a> object grouping seven datasets with some meta information</p>
     <h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>Source</h2>
 
     <p>Rapporteur Member State Germany, Co-Rapporteur Member State Bulgaria (2018)
 Renewal Assessment Report Dimethenamid-P Volume 3 - B.8 Environmental fate and behaviour
 Rev. 2 - November 2017
-<a href='http://registerofquestions.efsa.europa.eu/roqFrontend/outputLoader?output=ON-5211'>http://registerofquestions.efsa.europa.eu/roqFrontend/outputLoader?output=ON-5211</a></p>
+<a href='https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716'>https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716</a></p>
     <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
 
     <p>The R code used to create this data object is installed with this package
@@ -177,33 +177,249 @@ specific pieces of information in the comments.</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
     <pre class="examples"><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>dimethenamid_2018</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; &lt;mkindsg&gt; holding 8 mkinds objects
+</div><div class='output co'>#&gt; &lt;mkindsg&gt; holding 7 mkinds objects
 #&gt; Title $title:  Aerobic soil degradation data on dimethenamid-P from the EU assessment in 2018 
 #&gt; Occurrence of observed compounds $observed_n:
 #&gt; DMTAP   M23   M27   M31  DMTA 
-#&gt;     4     7     7     7     4 
+#&gt;     3     7     7     7     4 
 #&gt; Time normalisation factors $f_time_norm:
-#&gt; [1] 1.0000000 0.9706477 0.9706477 1.2284784 1.2284784 0.6233856 0.7678922
-#&gt; [8] 0.6733938
+#&gt; [1] 1.0000000 0.9706477 1.2284784 1.2284784 0.6233856 0.7678922 0.6733938
 #&gt; Meta information $meta:
-#&gt;                       study  usda_soil_type study_moisture_ref_type
-#&gt; Calke         Unsworth 2014      Sandy loam                     pF2
-#&gt; Borstel 1 Staudenmaier 2013            Sand                     pF1
-#&gt; Borstel 2 Staudenmaier 2009            Sand                     pF1
-#&gt; Elliot 1         Wendt 1997       Clay loam                   pF2.5
-#&gt; Elliot 2         Wendt 1997       Clay loam                   pF2.5
-#&gt; Flaach           König 1996 Sandy clay loam                     pF1
-#&gt; BBA 2.2          König 1995      Loamy sand                     pF1
-#&gt; BBA 2.3          König 1995      Sandy loam                     pF1
-#&gt;           rel_moisture study_ref_moisture temperature
-#&gt; Calke             1.00                 NA          20
-#&gt; Borstel 1         0.50              23.00          20
-#&gt; Borstel 2         0.50              23.00          20
-#&gt; Elliot 1          0.75              33.37          23
-#&gt; Elliot 2          0.75              33.37          23
-#&gt; Flaach            0.40                 NA          20
-#&gt; BBA 2.2           0.40                 NA          20
-#&gt; BBA 2.3           0.40                 NA          20</div></pre>
+#&gt;                      study  usda_soil_type study_moisture_ref_type rel_moisture
+#&gt; Calke        Unsworth 2014      Sandy loam                     pF2         1.00
+#&gt; Borstel  Staudenmaier 2009            Sand                     pF1         0.50
+#&gt; Elliot 1        Wendt 1997       Clay loam                   pF2.5         0.75
+#&gt; Elliot 2        Wendt 1997       Clay loam                   pF2.5         0.75
+#&gt; Flaach          König 1996 Sandy clay loam                     pF1         0.40
+#&gt; BBA 2.2         König 1995      Loamy sand                     pF1         0.40
+#&gt; BBA 2.3         König 1995      Sandy loam                     pF1         0.40
+#&gt;          study_ref_moisture temperature
+#&gt; Calke                    NA          20
+#&gt; Borstel               23.00          20
+#&gt; Elliot 1              33.37          23
+#&gt; Elliot 2              33.37          23
+#&gt; Flaach                   NA          20
+#&gt; BBA 2.2                  NA          20
+#&gt; BBA 2.3                  NA          20</div><div class='input'><span class='va'>dmta_ds</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span><span class='op'>(</span><span class='fl'>1</span><span class='op'>:</span><span class='fl'>7</span>, <span class='kw'>function</span><span class='op'>(</span><span class='va'>i</span><span class='op'>)</span> <span class='op'>{</span>
+  <span class='va'>ds_i</span> <span class='op'>&lt;-</span> <span class='va'>dimethenamid_2018</span><span class='op'>$</span><span class='va'>ds</span><span class='op'>[[</span><span class='va'>i</span><span class='op'>]</span><span class='op'>]</span><span class='op'>$</span><span class='va'>data</span>
+  <span class='va'>ds_i</span><span class='op'>[</span><span class='va'>ds_i</span><span class='op'>$</span><span class='va'>name</span> <span class='op'>==</span> <span class='st'>"DMTAP"</span>, <span class='st'>"name"</span><span class='op'>]</span> <span class='op'>&lt;-</span>  <span class='st'>"DMTA"</span>
+  <span class='va'>ds_i</span><span class='op'>$</span><span class='va'>time</span> <span class='op'>&lt;-</span> <span class='va'>ds_i</span><span class='op'>$</span><span class='va'>time</span> <span class='op'>*</span> <span class='va'>dimethenamid_2018</span><span class='op'>$</span><span class='va'>f_time_norm</span><span class='op'>[</span><span class='va'>i</span><span class='op'>]</span>
+  <span class='va'>ds_i</span>
+<span class='op'>}</span><span class='op'>)</span>
+<span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>dmta_ds</span><span class='op'>)</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>sapply</a></span><span class='op'>(</span><span class='va'>dimethenamid_2018</span><span class='op'>$</span><span class='va'>ds</span>, <span class='kw'>function</span><span class='op'>(</span><span class='va'>ds</span><span class='op'>)</span> <span class='va'>ds</span><span class='op'>$</span><span class='va'>title</span><span class='op'>)</span>
+<span class='va'>dmta_ds</span><span class='op'>[[</span><span class='st'>"Elliot"</span><span class='op'>]</span><span class='op'>]</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/cbind.html'>rbind</a></span><span class='op'>(</span><span class='va'>dmta_ds</span><span class='op'>[[</span><span class='st'>"Elliot 1"</span><span class='op'>]</span><span class='op'>]</span>, <span class='va'>dmta_ds</span><span class='op'>[[</span><span class='st'>"Elliot 2"</span><span class='op'>]</span><span class='op'>]</span><span class='op'>)</span>
+<span class='va'>dmta_ds</span><span class='op'>[[</span><span class='st'>"Elliot 1"</span><span class='op'>]</span><span class='op'>]</span> <span class='op'>&lt;-</span> <span class='cn'>NULL</span>
+<span class='va'>dmta_ds</span><span class='op'>[[</span><span class='st'>"Elliot 2"</span><span class='op'>]</span><span class='op'>]</span> <span class='op'>&lt;-</span> <span class='cn'>NULL</span>
+<span class='co'># \dontrun{</span>
+<span class='va'>dfop_sfo3_plus</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>
+  DMTA <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"DFOP"</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"M23"</span>, <span class='st'>"M27"</span>, <span class='st'>"M31"</span><span class='op'>)</span><span class='op'>)</span>,
+  M23 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>,
+  M27 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>,
+  M31 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"M27"</span>, sink <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>,
+  quiet <span class='op'>=</span> <span class='cn'>TRUE</span>
+<span class='op'>)</span>
+<span class='va'>f_dmta_mkin_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span>
+  <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='st'>"DFOP-SFO3+"</span> <span class='op'>=</span> <span class='va'>dfop_sfo3_plus</span><span class='op'>)</span>,
+  <span class='va'>dmta_ds</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
+<span class='fu'><a href='nlmixr.mmkin.html'>nlmixr_model</a></span><span class='op'>(</span><span class='va'>f_dmta_mkin_tc</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'>With est = 'saem', a different error model is required for each observed variableChanging the error model to 'obs_tc' (Two-component error for each observed variable)</span></div><div class='output co'>#&gt; <span class='warning'>Warning: number of items to replace is not a multiple of replacement length</span></div><div class='output co'>#&gt; function () 
+#&gt; {
+#&gt;     ini({
+#&gt;         DMTA_0 = 98.7132391714013
+#&gt;         eta.DMTA_0 ~ 2.32692496033921
+#&gt;         log_k_M23 = -3.92162409637283
+#&gt;         eta.log_k_M23 ~ 0.549278519419884
+#&gt;         log_k_M27 = -4.33057580082049
+#&gt;         eta.log_k_M27 ~ 0.855184233768426
+#&gt;         log_k_M31 = -4.24415516780733
+#&gt;         eta.log_k_M31 ~ 0.745746058085877
+#&gt;         log_k1 = -2.23515804885306
+#&gt;         eta.log_k1 ~ 0.901033446532357
+#&gt;         log_k2 = -3.77581484944379
+#&gt;         eta.log_k2 ~ 1.57682329638124
+#&gt;         g_qlogis = 0.436302910942805
+#&gt;         eta.g_qlogis ~ 3.10190528862808
+#&gt;         f_DMTA_tffm0_1_qlogis = -2.0914852208395
+#&gt;         eta.f_DMTA_tffm0_1_qlogis ~ 0.3
+#&gt;         f_DMTA_tffm0_2_qlogis = -2.17879574608926
+#&gt;         eta.f_DMTA_tffm0_2_qlogis ~ 0.3
+#&gt;         f_DMTA_tffm0_3_qlogis = -2.14036526460782
+#&gt;         eta.f_DMTA_tffm0_3_qlogis ~ 0.3
+#&gt;         sigma_low_DMTA = 0.700117227383809
+#&gt;         rsd_high_DMTA = 0.0257724286053519
+#&gt;         sigma_low_M23 = 0.700117227383809
+#&gt;         rsd_high_M23 = 0.0257724286053519
+#&gt;         sigma_low_M27 = 0.700117227383809
+#&gt;         rsd_high_M27 = 0.0257724286053519
+#&gt;         sigma_low_M31 = 0.700117227383809
+#&gt;         rsd_high_M31 = 0.0257724286053519
+#&gt;     })
+#&gt;     model({
+#&gt;         DMTA_0_model = DMTA_0 + eta.DMTA_0
+#&gt;         DMTA(0) = DMTA_0_model
+#&gt;         k_M23 = exp(log_k_M23 + eta.log_k_M23)
+#&gt;         k_M27 = exp(log_k_M27 + eta.log_k_M27)
+#&gt;         k_M31 = exp(log_k_M31 + eta.log_k_M31)
+#&gt;         k1 = exp(log_k1 + eta.log_k1)
+#&gt;         k2 = exp(log_k2 + eta.log_k2)
+#&gt;         g = expit(g_qlogis + eta.g_qlogis)
+#&gt;         f_DMTA_to_M23 = expit(f_DMTA_tffm0_1_qlogis + eta.f_DMTA_tffm0_1_qlogis)
+#&gt;         f_DMTA_to_M23 = expit(f_DMTA_tffm0_2_qlogis + eta.f_DMTA_tffm0_2_qlogis)
+#&gt;         f_DMTA_to_M23 = expit(f_DMTA_tffm0_3_qlogis + eta.f_DMTA_tffm0_3_qlogis)
+#&gt;         f_DMTA_to_M23 = f_DMTA_tffm0_1
+#&gt;         f_DMTA_to_M27 = f_DMTA_tffm0_2 * (1 - f_DMTA_tffm0_1)
+#&gt;         f_DMTA_to_M31 = f_DMTA_tffm0_3 * (1 - f_DMTA_tffm0_2) * 
+#&gt;             (1 - f_DMTA_tffm0_1)
+#&gt;         d/dt(DMTA) = -((k1 * g * exp(-k1 * time) + k2 * (1 - 
+#&gt;             g) * exp(-k2 * time))/(g * exp(-k1 * time) + (1 - 
+#&gt;             g) * exp(-k2 * time))) * DMTA
+#&gt;         d/dt(M23) = +f_DMTA_to_M23 * ((k1 * g * exp(-k1 * time) + 
+#&gt;             k2 * (1 - g) * exp(-k2 * time))/(g * exp(-k1 * time) + 
+#&gt;             (1 - g) * exp(-k2 * time))) * DMTA - k_M23 * M23
+#&gt;         d/dt(M27) = +f_DMTA_to_M27 * ((k1 * g * exp(-k1 * time) + 
+#&gt;             k2 * (1 - g) * exp(-k2 * time))/(g * exp(-k1 * time) + 
+#&gt;             (1 - g) * exp(-k2 * time))) * DMTA - k_M27 * M27 + 
+#&gt;             k_M31 * M31
+#&gt;         d/dt(M31) = +f_DMTA_to_M31 * ((k1 * g * exp(-k1 * time) + 
+#&gt;             k2 * (1 - g) * exp(-k2 * time))/(g * exp(-k1 * time) + 
+#&gt;             (1 - g) * exp(-k2 * time))) * DMTA - k_M31 * M31
+#&gt;         DMTA ~ add(sigma_low_DMTA) + prop(rsd_high_DMTA)
+#&gt;         M23 ~ add(sigma_low_M23) + prop(rsd_high_M23)
+#&gt;         M27 ~ add(sigma_low_M27) + prop(rsd_high_M27)
+#&gt;         M31 ~ add(sigma_low_M31) + prop(rsd_high_M31)
+#&gt;     })
+#&gt; }
+#&gt; &lt;environment: 0x555559d89920&gt;</div><div class='input'><span class='co'># The focei fit takes about four minutes on my system</span>
+<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span><span class='op'>(</span>
+  <span class='va'>f_dmta_nlmixr_focei</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_dmta_mkin_tc</span>, est <span class='op'>=</span> <span class='st'>"focei"</span>,
+    control <span class='op'>=</span> <span class='fu'>nlmixr</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/foceiControl.html'>foceiControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>500</span><span class='op'>)</span><span class='op'>)</span>
+<span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: number of items to replace is not a multiple of replacement length</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; [====|====|====|====|====|====|====|====|====|====] 0:00:02 
+#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; [====|====|====|====|====|====|====|====|====|====] 0:00:04 
+#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; [====|====|====|====|====|====|====|====|====|====] 0:00:01 
+#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; [====|====|====|====|====|====|====|====|====|====] 0:00:09 
+#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; [====|====|====|====|====|====|====|====|====|====] 0:00:07 
+#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; [====|====|====|====|====|====|====|====|====|====] 0:00:06 
+#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; [====|====|====|====|====|====|====|====|====|====] 0:00:00 
+#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; [====|====|====|====|====|====|====|====|====|====] 0:00:00 
+#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Model:</span></div><div class='output co'>#&gt; <span class='message'>cmt(DMTA);</span>
+#&gt; <span class='message'>cmt(M23);</span>
+#&gt; <span class='message'>cmt(M27);</span>
+#&gt; <span class='message'>cmt(M31);</span>
+#&gt; <span class='message'>rx_expr_14~ETA[1]+THETA[1];</span>
+#&gt; <span class='message'>DMTA(0)=rx_expr_14;</span>
+#&gt; <span class='message'>rx_expr_15~ETA[5]+THETA[5];</span>
+#&gt; <span class='message'>rx_expr_16~ETA[7]+THETA[7];</span>
+#&gt; <span class='message'>rx_expr_17~ETA[6]+THETA[6];</span>
+#&gt; <span class='message'>rx_expr_24~exp(rx_expr_15);</span>
+#&gt; <span class='message'>rx_expr_25~exp(rx_expr_17);</span>
+#&gt; <span class='message'>rx_expr_29~t*rx_expr_24;</span>
+#&gt; <span class='message'>rx_expr_30~t*rx_expr_25;</span>
+#&gt; <span class='message'>rx_expr_31~exp(-(rx_expr_16));</span>
+#&gt; <span class='message'>rx_expr_35~1+rx_expr_31;</span>
+#&gt; <span class='message'>rx_expr_40~1/(rx_expr_35);</span>
+#&gt; <span class='message'>rx_expr_42~(rx_expr_40);</span>
+#&gt; <span class='message'>rx_expr_43~1-rx_expr_42;</span>
+#&gt; <span class='message'>d/dt(DMTA)=-DMTA*(exp(rx_expr_15-rx_expr_29)/(rx_expr_35)+exp(rx_expr_17-rx_expr_30)*(rx_expr_43))/(exp(-t*rx_expr_24)/(rx_expr_35)+exp(-t*rx_expr_25)*(rx_expr_43));</span>
+#&gt; <span class='message'>rx_expr_18~ETA[2]+THETA[2];</span>
+#&gt; <span class='message'>rx_expr_26~exp(rx_expr_18);</span>
+#&gt; <span class='message'>d/dt(M23)=-rx_expr_26*M23+DMTA*(exp(rx_expr_15-rx_expr_29)/(rx_expr_35)+exp(rx_expr_17-rx_expr_30)*(rx_expr_43))*f_DMTA_tffm0_1/(exp(-t*rx_expr_24)/(rx_expr_35)+exp(-t*rx_expr_25)*(rx_expr_43));</span>
+#&gt; <span class='message'>rx_expr_19~ETA[3]+THETA[3];</span>
+#&gt; <span class='message'>rx_expr_20~ETA[4]+THETA[4];</span>
+#&gt; <span class='message'>rx_expr_21~1-f_DMTA_tffm0_1;</span>
+#&gt; <span class='message'>rx_expr_27~exp(rx_expr_19);</span>
+#&gt; <span class='message'>rx_expr_28~exp(rx_expr_20);</span>
+#&gt; <span class='message'>d/dt(M27)=-rx_expr_27*M27+rx_expr_28*M31+DMTA*(rx_expr_21)*(exp(rx_expr_15-rx_expr_29)/(rx_expr_35)+exp(rx_expr_17-rx_expr_30)*(rx_expr_43))*f_DMTA_tffm0_2/(exp(-t*rx_expr_24)/(rx_expr_35)+exp(-t*rx_expr_25)*(rx_expr_43));</span>
+#&gt; <span class='message'>rx_expr_22~1-f_DMTA_tffm0_2;</span>
+#&gt; <span class='message'>d/dt(M31)=-rx_expr_28*M31+DMTA*(rx_expr_22)*(rx_expr_21)*(exp(rx_expr_15-rx_expr_29)/(rx_expr_35)+exp(rx_expr_17-rx_expr_30)*(rx_expr_43))*f_DMTA_tffm0_3/(exp(-t*rx_expr_24)/(rx_expr_35)+exp(-t*rx_expr_25)*(rx_expr_43));</span>
+#&gt; <span class='message'>rx_expr_0~CMT==4;</span>
+#&gt; <span class='message'>rx_expr_1~CMT==2;</span>
+#&gt; <span class='message'>rx_expr_2~CMT==1;</span>
+#&gt; <span class='message'>rx_expr_3~CMT==3;</span>
+#&gt; <span class='message'>rx_expr_4~1-(rx_expr_0);</span>
+#&gt; <span class='message'>rx_expr_5~1-(rx_expr_1);</span>
+#&gt; <span class='message'>rx_expr_6~1-(rx_expr_3);</span>
+#&gt; <span class='message'>rx_yj_~(rx_expr_4)*((2*(rx_expr_5)*(rx_expr_2)+2*(rx_expr_1))*(rx_expr_6)+2*(rx_expr_3))+2*(rx_expr_0);</span>
+#&gt; <span class='message'>rx_expr_7~(rx_expr_1);</span>
+#&gt; <span class='message'>rx_expr_8~(rx_expr_3);</span>
+#&gt; <span class='message'>rx_expr_9~(rx_expr_0);</span>
+#&gt; <span class='message'>rx_expr_13~(rx_expr_5);</span>
+#&gt; <span class='message'>rx_expr_32~rx_expr_13*(rx_expr_2);</span>
+#&gt; <span class='message'>rx_lambda_~(rx_expr_4)*((rx_expr_32+rx_expr_7)*(rx_expr_6)+rx_expr_8)+rx_expr_9;</span>
+#&gt; <span class='message'>rx_hi_~(rx_expr_4)*((rx_expr_32+rx_expr_7)*(rx_expr_6)+rx_expr_8)+rx_expr_9;</span>
+#&gt; <span class='message'>rx_low_~0;</span>
+#&gt; <span class='message'>rx_expr_10~M31*(rx_expr_0);</span>
+#&gt; <span class='message'>rx_expr_11~M27*(rx_expr_3);</span>
+#&gt; <span class='message'>rx_expr_12~M23*(rx_expr_1);</span>
+#&gt; <span class='message'>rx_expr_23~DMTA*(rx_expr_5);</span>
+#&gt; <span class='message'>rx_expr_36~rx_expr_23*(rx_expr_2);</span>
+#&gt; <span class='message'>rx_pred_=(rx_expr_4)*((rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_3)+((rx_expr_1)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))+(rx_expr_5)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_2))*(rx_expr_6))+(rx_expr_0)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)));</span>
+#&gt; <span class='message'>rx_expr_33~Rx_pow_di(THETA[12],2);</span>
+#&gt; <span class='message'>rx_expr_34~Rx_pow_di(THETA[11],2);</span>
+#&gt; <span class='message'>rx_r_=(rx_expr_4)*((rx_expr_33*Rx_pow_di(((rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_3)+((rx_expr_1)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))+(rx_expr_5)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_2))*(rx_expr_6)),2)+rx_expr_34)*(rx_expr_3)+((rx_expr_1)*(rx_expr_33*Rx_pow_di(((rx_expr_1)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))+(rx_expr_5)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_2)),2)+rx_expr_34)+(rx_expr_33*Rx_pow_di(((rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_2)),2)+rx_expr_34)*(rx_expr_5)*(rx_expr_2))*(rx_expr_6))+(rx_expr_0)*(rx_expr_33*Rx_pow_di(((rx_expr_4)*((rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_3)+((rx_expr_1)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))+(rx_expr_5)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_2))*(rx_expr_6))+(rx_expr_0)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))),2)+rx_expr_34);</span>
+#&gt; <span class='message'>DMTA_0=THETA[1];</span>
+#&gt; <span class='message'>log_k_M23=THETA[2];</span>
+#&gt; <span class='message'>log_k_M27=THETA[3];</span>
+#&gt; <span class='message'>log_k_M31=THETA[4];</span>
+#&gt; <span class='message'>log_k1=THETA[5];</span>
+#&gt; <span class='message'>log_k2=THETA[6];</span>
+#&gt; <span class='message'>g_qlogis=THETA[7];</span>
+#&gt; <span class='message'>f_DMTA_tffm0_1_qlogis=THETA[8];</span>
+#&gt; <span class='message'>f_DMTA_tffm0_2_qlogis=THETA[9];</span>
+#&gt; <span class='message'>f_DMTA_tffm0_3_qlogis=THETA[10];</span>
+#&gt; <span class='message'>sigma_low=THETA[11];</span>
+#&gt; <span class='message'>rsd_high=THETA[12];</span>
+#&gt; <span class='message'>eta.DMTA_0=ETA[1];</span>
+#&gt; <span class='message'>eta.log_k_M23=ETA[2];</span>
+#&gt; <span class='message'>eta.log_k_M27=ETA[3];</span>
+#&gt; <span class='message'>eta.log_k_M31=ETA[4];</span>
+#&gt; <span class='message'>eta.log_k1=ETA[5];</span>
+#&gt; <span class='message'>eta.log_k2=ETA[6];</span>
+#&gt; <span class='message'>eta.g_qlogis=ETA[7];</span>
+#&gt; <span class='message'>eta.f_DMTA_tffm0_1_qlogis=ETA[8];</span>
+#&gt; <span class='message'>eta.f_DMTA_tffm0_2_qlogis=ETA[9];</span>
+#&gt; <span class='message'>eta.f_DMTA_tffm0_3_qlogis=ETA[10];</span>
+#&gt; <span class='message'>DMTA_0_model=rx_expr_14;</span>
+#&gt; <span class='message'>k_M23=rx_expr_26;</span>
+#&gt; <span class='message'>k_M27=rx_expr_27;</span>
+#&gt; <span class='message'>k_M31=rx_expr_28;</span>
+#&gt; <span class='message'>k1=rx_expr_24;</span>
+#&gt; <span class='message'>k2=rx_expr_25;</span>
+#&gt; <span class='message'>g=1/(rx_expr_35);</span>
+#&gt; <span class='message'>f_DMTA_to_M23=1/(1+exp(-(ETA[8]+THETA[8])));</span>
+#&gt; <span class='message'>f_DMTA_to_M23=1/(1+exp(-(ETA[9]+THETA[9])));</span>
+#&gt; <span class='message'>f_DMTA_to_M23=1/(1+exp(-(ETA[10]+THETA[10])));</span>
+#&gt; <span class='message'>f_DMTA_to_M23=f_DMTA_tffm0_1;</span>
+#&gt; <span class='message'>f_DMTA_to_M27=(rx_expr_21)*f_DMTA_tffm0_2;</span>
+#&gt; <span class='message'>f_DMTA_to_M31=(rx_expr_22)*(rx_expr_21)*f_DMTA_tffm0_3;</span>
+#&gt; <span class='message'>tad=tad();</span>
+#&gt; <span class='message'>dosenum=dosenum();</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; <span class='message'>[1] "f_DMTA_tffm0_1" "f_DMTA_tffm0_2" "f_DMTA_tffm0_3" "CMT"           </span></div><div class='output co'>#&gt; <span class='error'>Error in (function (data, inits, PKpars, model = NULL, pred = NULL, err = NULL,     lower = -Inf, upper = Inf, fixed = NULL, skipCov = NULL,     control = foceiControl(), thetaNames = NULL, etaNames = NULL,     etaMat = NULL, ..., env = NULL, keep = NULL, drop = NULL) {    set.seed(control$seed)    .pt &lt;- proc.time()    RxODE::.setWarnIdSort(FALSE)    on.exit(RxODE::.setWarnIdSort(TRUE))    loadNamespace("n1qn1")    if (!RxODE::rxIs(control, "foceiControl")) {        control &lt;- do.call(foceiControl, control)    }    if (is.null(env)) {        .ret &lt;- new.env(parent = emptyenv())    }    else {        .ret &lt;- env    }    .ret$origData &lt;- data    .ret$etaNames &lt;- etaNames    .ret$thetaFixed &lt;- fixed    .ret$control &lt;- control    .ret$control$focei.mu.ref &lt;- integer(0)    if (is(model, "RxODE") || is(model, "character")) {        .ret$ODEmodel &lt;- TRUE        if (class(pred) != "function") {            stop("pred must be a function specifying the prediction variables in this model.")        }    }    else {        .ret$ODEmodel &lt;- TRUE        model &lt;- RxODE::rxGetLin(PKpars)        pred &lt;- eval(parse(text = "function(){return(Central);}"))    }    .square &lt;- function(x) x * x    .ret$diagXformInv &lt;- c(sqrt = ".square", log = "exp", identity = "identity")[control$diagXform]    if (is.null(err)) {        err &lt;- eval(parse(text = paste0("function(){err", paste(inits$ERROR[[1]],             collapse = ""), "}")))    }    .covNames &lt;- .parNames &lt;- c()    .ret$adjLik &lt;- control$adjLik    .mixed &lt;- !is.null(inits$OMGA) &amp;&amp; length(inits$OMGA) &gt; 0    if (!exists("noLik", envir = .ret)) {        .atol &lt;- rep(control$atol, length(RxODE::rxModelVars(model)$state))        .rtol &lt;- rep(control$rtol, length(RxODE::rxModelVars(model)$state))        .ssAtol &lt;- rep(control$ssAtol, length(RxODE::rxModelVars(model)$state))        .ssRtol &lt;- rep(control$ssRtol, length(RxODE::rxModelVars(model)$state))        .ret$model &lt;- RxODE::rxSymPySetupPred(model, pred, PKpars,             err, grad = (control$derivMethod == 2L), pred.minus.dv = TRUE,             sum.prod = control$sumProd, theta.derivs = FALSE,             optExpression = control$optExpression, interaction = (control$interaction ==                 1L), only.numeric = !.mixed, run.internal = TRUE,             addProp = control$addProp)        if (!is.null(.ret$model$inner)) {            .atol &lt;- c(.atol, rep(control$atolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                 length(.atol)))            .rtol &lt;- c(.rtol, rep(control$rtolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                 length(.rtol)))            .ret$control$rxControl$atol &lt;- .atol            .ret$control$rxControl$rtol &lt;- .rtol            .ssAtol &lt;- c(.ssAtol, rep(control$ssAtolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                 length(.ssAtol)))            .ssRtol &lt;- c(.ssRtol, rep(control$ssRtolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                 length(.ssRtol)))            .ret$control$rxControl$ssAtol &lt;- .ssAtol            .ret$control$rxControl$ssRtol &lt;- .ssRtol        }        .covNames &lt;- .parNames &lt;- RxODE::rxParams(.ret$model$pred.only)        .covNames &lt;- .covNames[regexpr(rex::rex(start, or("THETA",             "ETA"), "[", numbers, "]", end), .covNames) == -1]        colnames(data) &lt;- sapply(names(data), function(x) {            if (any(x == .covNames)) {                return(x)            }            else {                return(toupper(x))            }        })        .lhs &lt;- c(names(RxODE::rxInits(.ret$model$pred.only)),             RxODE::rxLhs(.ret$model$pred.only))        if (length(.lhs) &gt; 0) {            .covNames &lt;- .covNames[regexpr(rex::rex(start, or(.lhs),                 end), .covNames) == -1]        }        if (length(.covNames) &gt; 0) {            if (!all(.covNames %in% names(data))) {                message("Model:")                RxODE::rxCat(.ret$model$pred.only)                message("Needed Covariates:")                nlmixrPrint(.covNames)                stop("Not all the covariates are in the dataset.")            }            message("Needed Covariates:")            print(.covNames)        }        .extraPars &lt;- .ret$model$extra.pars    }    else {        if (.ret$noLik) {            .atol &lt;- rep(control$atol, length(RxODE::rxModelVars(model)$state))            .rtol &lt;- rep(control$rtol, length(RxODE::rxModelVars(model)$state))            .ret$model &lt;- RxODE::rxSymPySetupPred(model, pred,                 PKpars, err, grad = FALSE, pred.minus.dv = TRUE,                 sum.prod = control$sumProd, theta.derivs = FALSE,                 optExpression = control$optExpression, run.internal = TRUE,                 only.numeric = TRUE, addProp = control$addProp)            if (!is.null(.ret$model$inner)) {                .atol &lt;- c(.atol, rep(control$atolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                   length(.atol)))                .rtol &lt;- c(.rtol, rep(control$rtolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                   length(.rtol)))                .ret$control$rxControl$atol &lt;- .atol                .ret$control$rxControl$rtol &lt;- .rtol            }            .covNames &lt;- .parNames &lt;- RxODE::rxParams(.ret$model$pred.only)            .covNames &lt;- .covNames[regexpr(rex::rex(start, or("THETA",                 "ETA"), "[", numbers, "]", end), .covNames) ==                 -1]            colnames(data) &lt;- sapply(names(data), function(x) {                if (any(x == .covNames)) {                  return(x)                }                else {                  return(toupper(x))                }            })            .lhs &lt;- c(names(RxODE::rxInits(.ret$model$pred.only)),                 RxODE::rxLhs(.ret$model$pred.only))            if (length(.lhs) &gt; 0) {                .covNames &lt;- .covNames[regexpr(rex::rex(start,                   or(.lhs), end), .covNames) == -1]            }            if (length(.covNames) &gt; 0) {                if (!all(.covNames %in% names(data))) {                  message("Model:")                  RxODE::rxCat(.ret$model$pred.only)                  message("Needed Covariates:")                  nlmixrPrint(.covNames)                  stop("Not all the covariates are in the dataset.")                }                message("Needed Covariates:")                print(.covNames)            }            .extraPars &lt;- .ret$model$extra.pars        }        else {            .extraPars &lt;- NULL        }    }    .ret$skipCov &lt;- skipCov    if (is.null(skipCov)) {        if (is.null(fixed)) {            .tmp &lt;- rep(FALSE, length(inits$THTA))        }        else {            if (length(fixed) &lt; length(inits$THTA)) {                .tmp &lt;- c(fixed, rep(FALSE, length(inits$THTA) -                   length(fixed)))            }            else {                .tmp &lt;- fixed[1:length(inits$THTA)]            }        }        if (exists("uif", envir = .ret)) {            .uifErr &lt;- .ret$uif$ini$err[!is.na(.ret$uif$ini$ntheta)]            .uifErr &lt;- sapply(.uifErr, function(x) {                if (is.na(x)) {                  return(FALSE)                }                return(!any(x == c("pow2", "tbs", "tbsYj")))            })            .tmp &lt;- (.tmp | .uifErr)        }        .ret$skipCov &lt;- c(.tmp, rep(TRUE, length(.extraPars)))        .ret$control$focei.mu.ref &lt;- .ret$uif$focei.mu.ref    }    if (is.null(.extraPars)) {        .nms &lt;- c(sprintf("THETA[%s]", seq_along(inits$THTA)))    }    else {        .nms &lt;- c(sprintf("THETA[%s]", seq_along(inits$THTA)),             sprintf("ERR[%s]", seq_along(.extraPars)))    }    if (!is.null(thetaNames) &amp;&amp; (length(inits$THTA) + length(.extraPars)) ==         length(thetaNames)) {        .nms &lt;- thetaNames    }    .ret$thetaNames &lt;- .nms    .thetaReset$thetaNames &lt;- .nms    if (length(lower) == 1) {        lower &lt;- rep(lower, length(inits$THTA))    }    else if (length(lower) != length(inits$THTA)) {        print(inits$THTA)        print(lower)        stop("Lower must be a single constant for all the THETA lower bounds, or match the dimension of THETA.")    }    if (length(upper) == 1) {        upper &lt;- rep(upper, length(inits$THTA))    }    else if (length(lower) != length(inits$THTA)) {        stop("Upper must be a single constant for all the THETA lower bounds, or match the dimension of THETA.")    }    if (!is.null(.extraPars)) {        .ret$model$extra.pars &lt;- eval(call(control$diagXform,             .ret$model$extra.pars))        if (length(.ret$model$extra.pars) &gt; 0) {            inits$THTA &lt;- c(inits$THTA, .ret$model$extra.pars)            .lowerErr &lt;- rep(control$atol[1] * 10, length(.ret$model$extra.pars))            .upperErr &lt;- rep(Inf, length(.ret$model$extra.pars))            lower &lt;- c(lower, .lowerErr)            upper &lt;- c(upper, .upperErr)        }    }    if (is.null(data$ID))         stop("\"ID\" not found in data")    if (is.null(data$DV))         stop("\"DV\" not found in data")    if (is.null(data$EVID))         data$EVID &lt;- 0    if (is.null(data$AMT))         data$AMT &lt;- 0    for (.v in c("TIME", "AMT", "DV", .covNames)) {        data[[.v]] &lt;- as.double(data[[.v]])    }    .ret$dataSav &lt;- data    .ds &lt;- data[data$EVID != 0 &amp; data$EVID != 2, c("ID", "TIME",         "AMT", "EVID", .covNames)]    .w &lt;- which(tolower(names(data)) == "limit")    .limitName &lt;- NULL    if (length(.w) == 1L) {        .limitName &lt;- names(data)[.w]    }    .censName &lt;- NULL    .w &lt;- which(tolower(names(data)) == "cens")    if (length(.w) == 1L) {        .censName &lt;- names(data[.w])    }    data &lt;- data[data$EVID == 0 | data$EVID == 2, c("ID", "TIME",         "DV", "EVID", .covNames, .limitName, .censName)]    .w &lt;- which(!(names(.ret$dataSav) %in% c(.covNames, keep)))    names(.ret$dataSav)[.w] &lt;- tolower(names(.ret$dataSav[.w]))    if (.mixed) {        .lh &lt;- .parseOM(inits$OMGA)        .nlh &lt;- sapply(.lh, length)        .osplt &lt;- rep(1:length(.lh), .nlh)        .lini &lt;- list(inits$THTA, unlist(.lh))        .nlini &lt;- sapply(.lini, length)        .nsplt &lt;- rep(1:length(.lini), .nlini)        .om0 &lt;- .genOM(.lh)        if (length(etaNames) == dim(.om0)[1]) {            .ret$etaNames &lt;- .ret$etaNames        }        else {            .ret$etaNames &lt;- sprintf("ETA[%d]", seq(1, dim(.om0)[1]))        }        .ret$rxInv &lt;- RxODE::rxSymInvCholCreate(mat = .om0, diag.xform = control$diagXform)        .ret$xType &lt;- .ret$rxInv$xType        .om0a &lt;- .om0        .om0a &lt;- .om0a/control$diagOmegaBoundLower        .om0b &lt;- .om0        .om0b &lt;- .om0b * control$diagOmegaBoundUpper        .om0a &lt;- RxODE::rxSymInvCholCreate(mat = .om0a, diag.xform = control$diagXform)        .om0b &lt;- RxODE::rxSymInvCholCreate(mat = .om0b, diag.xform = control$diagXform)        .omdf &lt;- data.frame(a = .om0a$theta, m = .ret$rxInv$theta,             b = .om0b$theta, diag = .om0a$theta.diag)        .omdf$lower &lt;- with(.omdf, ifelse(a &gt; b, b, a))        .omdf$lower &lt;- with(.omdf, ifelse(lower == m, -Inf, lower))        .omdf$lower &lt;- with(.omdf, ifelse(!diag, -Inf, lower))        .omdf$upper &lt;- with(.omdf, ifelse(a &lt; b, b, a))        .omdf$upper &lt;- with(.omdf, ifelse(upper == m, Inf, upper))        .omdf$upper &lt;- with(.omdf, ifelse(!diag, Inf, upper))        .ret$control$nomega &lt;- length(.omdf$lower)        .ret$control$neta &lt;- sum(.omdf$diag)        .ret$control$ntheta &lt;- length(lower)        .ret$control$nfixed &lt;- sum(fixed)        lower &lt;- c(lower, .omdf$lower)        upper &lt;- c(upper, .omdf$upper)    }    else {        .ret$control$nomega &lt;- 0        .ret$control$neta &lt;- 0        .ret$xType &lt;- -1        .ret$control$ntheta &lt;- length(lower)        .ret$control$nfixed &lt;- sum(fixed)    }    .ret$lower &lt;- lower    .ret$upper &lt;- upper    .ret$thetaIni &lt;- inits$THTA    .scaleC &lt;- double(length(lower))    if (is.null(control$scaleC)) {        .scaleC &lt;- rep(NA_real_, length(lower))    }    else {        .scaleC &lt;- as.double(control$scaleC)        if (length(lower) &gt; length(.scaleC)) {            .scaleC &lt;- c(.scaleC, rep(NA_real_, length(lower) -                 length(.scaleC)))        }        else if (length(lower) &lt; length(.scaleC)) {            .scaleC &lt;- .scaleC[seq(1, length(lower))]            warning("scaleC control option has more options than estimated population parameters, please check.")        }    }    .ret$scaleC &lt;- .scaleC    if (exists("uif", envir = .ret)) {        .ini &lt;- as.data.frame(.ret$uif$ini)[!is.na(.ret$uif$ini$err),             c("est", "err", "ntheta")]        for (.i in seq_along(.ini$err)) {            if (is.na(.ret$scaleC[.ini$ntheta[.i]])) {                if (any(.ini$err[.i] == c("boxCox", "yeoJohnson",                   "pow2", "tbs", "tbsYj"))) {                  .ret$scaleC[.ini$ntheta[.i]] &lt;- 1                }                else if (any(.ini$err[.i] == c("prop", "add",                   "norm", "dnorm", "logn", "dlogn", "lnorm",                   "dlnorm"))) {                  .ret$scaleC[.ini$ntheta[.i]] &lt;- 0.5 * abs(.ini$est[.i])                }            }        }        for (.i in .ini$model$extraProps$powTheta) {            if (is.na(.ret$scaleC[.i]))                 .ret$scaleC[.i] &lt;- 1        }        .ini &lt;- as.data.frame(.ret$uif$ini)        for (.i in .ini$model$extraProps$factorial) {            if (is.na(.ret$scaleC[.i]))                 .ret$scaleC[.i] &lt;- abs(1/digamma(.ini$est[.i] +                   1))        }        for (.i in .ini$model$extraProps$gamma) {            if (is.na(.ret$scaleC[.i]))                 .ret$scaleC[.i] &lt;- abs(1/digamma(.ini$est[.i]))        }        for (.i in .ini$model$extraProps$log) {            if (is.na(.ret$scaleC[.i]))                 .ret$scaleC[.i] &lt;- log(abs(.ini$est[.i])) * abs(.ini$est[.i])        }        for (.i in .ret$logitThetas) {            .b &lt;- .ret$logitThetasLow[.i]            .c &lt;- .ret$logitThetasHi[.i]            .a &lt;- .ini$est[.i]            if (is.na(.ret$scaleC[.i])) {                .ret$scaleC[.i] &lt;- 1 * (-.b + .c) * exp(-.a)/((1 +                   exp(-.a))^2 * (.b + 1 * (-.b + .c)/(1 + exp(-.a))))            }        }    }    names(.ret$thetaIni) &lt;- sprintf("THETA[%d]", seq_along(.ret$thetaIni))    if (is.null(etaMat) &amp; !is.null(control$etaMat)) {        .ret$etaMat &lt;- control$etaMat    }    else {        .ret$etaMat &lt;- etaMat    }    .ret$setupTime &lt;- (proc.time() - .pt)["elapsed"]    if (exists("uif", envir = .ret)) {        .tmp &lt;- .ret$uif$logThetasList        .ret$logThetas &lt;- .tmp[[1]]        .ret$logThetasF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$logitThetasList        .ret$logitThetas &lt;- .tmp[[1]]        .ret$logitThetasF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$logitThetasListLow        .ret$logitThetasLow &lt;- .tmp[[1]]        .ret$logitThetasLowF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$logitThetasListHi        .ret$logitThetasHi &lt;- .tmp[[1]]        .ret$logitThetasHiF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$probitThetasList        .ret$probitThetas &lt;- .tmp[[1]]        .ret$probitThetasF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$probitThetasListLow        .ret$probitThetasLow &lt;- .tmp[[1]]        .ret$probitThetasLowF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$probitThetasListHi        .ret$probitThetasHi &lt;- .tmp[[1]]        .ret$probitThetasHiF &lt;- .tmp[[2]]    }    else {        .ret$logThetasF &lt;- integer(0)        .ret$logitThetasF &lt;- integer(0)        .ret$logitThetasHiF &lt;- numeric(0)        .ret$logitThetasLowF &lt;- numeric(0)        .ret$logitThetas &lt;- integer(0)        .ret$logitThetasHi &lt;- numeric(0)        .ret$logitThetasLow &lt;- numeric(0)        .ret$probitThetasF &lt;- integer(0)        .ret$probitThetasHiF &lt;- numeric(0)        .ret$probitThetasLowF &lt;- numeric(0)        .ret$probitThetas &lt;- integer(0)        .ret$probitThetasHi &lt;- numeric(0)        .ret$probitThetasLow &lt;- numeric(0)    }    if (exists("noLik", envir = .ret)) {        if (!.ret$noLik) {            .ret$.params &lt;- c(sprintf("THETA[%d]", seq_along(.ret$thetaIni)),                 sprintf("ETA[%d]", seq(1, dim(.om0)[1])))            .ret$.thetan &lt;- length(.ret$thetaIni)            .ret$nobs &lt;- sum(data$EVID == 0)        }    }    .ret$control$printTop &lt;- TRUE    .ret$control$nF &lt;- 0    .est0 &lt;- .ret$thetaIni    if (!is.null(.ret$model$pred.nolhs)) {        .ret$control$predNeq &lt;- length(.ret$model$pred.nolhs$state)    }    else {        .ret$control$predNeq &lt;- 0L    }    .fitFun &lt;- function(.ret) {        this.env &lt;- environment()        assign("err", "theta reset", this.env)        while (this.env$err == "theta reset") {            assign("err", "", this.env)            .ret0 &lt;- tryCatch({                foceiFitCpp_(.ret)            }, error = function(e) {                if (regexpr("theta reset", e$message) != -1) {                  assign("zeroOuter", FALSE, this.env)                  assign("zeroGrad", FALSE, this.env)                  if (regexpr("theta reset0", e$message) != -1) {                    assign("zeroGrad", TRUE, this.env)                  }                  else if (regexpr("theta resetZ", e$message) !=                     -1) {                    assign("zeroOuter", TRUE, this.env)                  }                  assign("err", "theta reset", this.env)                }                else {                  assign("err", e$message, this.env)                }            })            if (this.env$err == "theta reset") {                .nm &lt;- names(.ret$thetaIni)                .ret$thetaIni &lt;- setNames(.thetaReset$thetaIni +                   0, .nm)                .ret$rxInv$theta &lt;- .thetaReset$omegaTheta                .ret$control$printTop &lt;- FALSE                .ret$etaMat &lt;- .thetaReset$etaMat                .ret$control$etaMat &lt;- .thetaReset$etaMat                .ret$control$maxInnerIterations &lt;- .thetaReset$maxInnerIterations                .ret$control$nF &lt;- .thetaReset$nF                .ret$control$gillRetC &lt;- .thetaReset$gillRetC                .ret$control$gillRet &lt;- .thetaReset$gillRet                .ret$control$gillRet &lt;- .thetaReset$gillRet                .ret$control$gillDf &lt;- .thetaReset$gillDf                .ret$control$gillDf2 &lt;- .thetaReset$gillDf2                .ret$control$gillErr &lt;- .thetaReset$gillErr                .ret$control$rEps &lt;- .thetaReset$rEps                .ret$control$aEps &lt;- .thetaReset$aEps                .ret$control$rEpsC &lt;- .thetaReset$rEpsC                .ret$control$aEpsC &lt;- .thetaReset$aEpsC                .ret$control$c1 &lt;- .thetaReset$c1                .ret$control$c2 &lt;- .thetaReset$c2                if (this.env$zeroOuter) {                  message("Posthoc reset")                  .ret$control$maxOuterIterations &lt;- 0L                }                else if (this.env$zeroGrad) {                  message("Theta reset (zero gradient values); Switch to bobyqa")                  RxODE::rxReq("minqa")                  .ret$control$outerOptFun &lt;- .bobyqa                  .ret$control$outerOpt &lt;- -1L                }                else {                  message("Theta reset (ETA drift)")                }            }        }        if (this.env$err != "") {            stop(this.env$err)        }        else {            return(.ret0)        }    }    .ret0 &lt;- try(.fitFun(.ret))    .n &lt;- 1    while (inherits(.ret0, "try-error") &amp;&amp; control$maxOuterIterations !=         0 &amp;&amp; .n &lt;= control$nRetries) {        message(sprintf("Restart %s", .n))        .ret$control$nF &lt;- 0        .estNew &lt;- .est0 + 0.2 * .n * abs(.est0) * stats::runif(length(.est0)) -             0.1 * .n        .estNew &lt;- sapply(seq_along(.est0), function(.i) {            if (.ret$thetaFixed[.i]) {                return(.est0[.i])            }            else if (.estNew[.i] &lt; lower[.i]) {                return(lower + (.Machine$double.eps)^(1/7))            }            else if (.estNew[.i] &gt; upper[.i]) {                return(upper - (.Machine$double.eps)^(1/7))            }            else {                return(.estNew[.i])            }        })        .ret$thetaIni &lt;- .estNew        .ret0 &lt;- try(.fitFun(.ret))        .n &lt;- .n + 1    }    if (inherits(.ret0, "try-error"))         stop("Could not fit data.")    .ret &lt;- .ret0    if (exists("parHistData", .ret)) {        .tmp &lt;- .ret$parHistData        .tmp &lt;- .tmp[.tmp$type == "Unscaled", names(.tmp) !=             "type"]        .iter &lt;- .tmp$iter        .tmp &lt;- .tmp[, names(.tmp) != "iter"]        .ret$parHistStacked &lt;- data.frame(stack(.tmp), iter = .iter)        names(.ret$parHistStacked) &lt;- c("val", "par", "iter")        .ret$parHist &lt;- data.frame(iter = .iter, .tmp)    }    if (.mixed) {        .etas &lt;- .ret$ranef        .thetas &lt;- .ret$fixef        .pars &lt;- .Call(`_nlmixr_nlmixrParameters`, .thetas, .etas)        .ret$shrink &lt;- .Call(`_nlmixr_calcShrinkOnly`, .ret$omega,             .pars$eta.lst, length(.etas$ID))        .updateParFixed(.ret)    }    else {        .updateParFixed(.ret)    }    if (!exists("table", .ret)) {        .ret$table &lt;- tableControl()    }    if (control$calcTables) {        .ret &lt;- addTable(.ret, updateObject = "no", keep = keep,             drop = drop, table = .ret$table)    }    .ret})(data = dat, inits = .FoceiInits, PKpars = .pars, model = .mod,     pred = function() {        return(nlmixr_pred)    }, err = uif$error, lower = uif$focei.lower, upper = uif$focei.upper,     fixed = uif$focei.fixed, thetaNames = uif$focei.names, etaNames = uif$eta.names,     control = control, env = env, keep = .keep, drop = .drop): Not all the covariates are in the dataset.</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 121.4 8.294 129.7</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 121.5 8.294 129.9</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>f_dmta_nlmixr_focei</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in summary(f_dmta_nlmixr_focei): object 'f_dmta_nlmixr_focei' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_dmta_nlmixr_focei</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in plot(f_dmta_nlmixr_focei): object 'f_dmta_nlmixr_focei' not found</span></div><div class='input'><span class='co'># Using saemix takes about 18 minutes</span>
+<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span><span class='op'>(</span>
+  <span class='va'>f_dmta_saemix</span> <span class='op'>&lt;-</span> <span class='fu'><a href='saem.html'>saem</a></span><span class='op'>(</span><span class='va'>f_dmta_mkin_tc</span>, test_log_parms <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='op'>)</span>
+</div><div class='output co'>#&gt; Running main SAEM algorithm
+#&gt; [1] "Tue Oct  5 16:58:50 2021"
+#&gt; ....
+#&gt;     Minimisation finished
+#&gt; [1] "Tue Oct  5 17:17:24 2021"</div><div class='output co'>#&gt;     user   system  elapsed 
+#&gt; 1181.365    0.031 1181.470 </div><div class='input'>
+<span class='co'># nlmixr with est = "saem" is pretty fast with default iteration numbers, most</span>
+<span class='co'># of the time (about 2.5 minutes) is spent for calculating the log likelihood at the end</span>
+<span class='co'># The likelihood calculated for the nlmixr fit is much lower than that found by saemix</span>
+<span class='co'># Also, the trace plot and the plot of the individual predictions is not</span>
+<span class='co'># convincing for the parent. It seems we are fitting an overparameterised</span>
+<span class='co'># model, so the result we get strongly depends on starting parameters and control settings.</span>
+<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span><span class='op'>(</span>
+  <span class='va'>f_dmta_nlmixr_saem</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_dmta_mkin_tc</span>, est <span class='op'>=</span> <span class='st'>"saem"</span>,
+    control <span class='op'>=</span> <span class='fu'>nlmixr</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/saemControl.html'>saemControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>500</span>, logLik <span class='op'>=</span> <span class='cn'>TRUE</span>, nmc <span class='op'>=</span> <span class='fl'>9</span><span class='op'>)</span><span class='op'>)</span>
+<span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'>With est = 'saem', a different error model is required for each observed variableChanging the error model to 'obs_tc' (Two-component error for each observed variable)</span></div><div class='output co'>#&gt; <span class='warning'>Warning: number of items to replace is not a multiple of replacement length</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='error'>Error in eval(substitute(expr), data, enclos = parent.frame()): Cannot run SAEM since some of the parameters are not mu-referenced (eta.f_DMTA_tffm0_1_qlogis, eta.f_DMTA_tffm0_2_qlogis, eta.f_DMTA_tffm0_3_qlogis)</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 0.849 0.016 0.864</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 1.041 0.016 1.058</span></div><div class='input'><span class='fu'>traceplot</span><span class='op'>(</span><span class='va'>f_dmta_nlmixr_saem</span><span class='op'>$</span><span class='va'>nm</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in traceplot(f_dmta_nlmixr_saem$nm): could not find function "traceplot"</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>f_dmta_nlmixr_saem</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in summary(f_dmta_nlmixr_saem): object 'f_dmta_nlmixr_saem' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_dmta_nlmixr_saem</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in plot(f_dmta_nlmixr_saem): object 'f_dmta_nlmixr_saem' not found</span></div><div class='input'><span class='co'># }</span>
+</div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
     <nav id="toc" data-toggle="toc" class="sticky-top">
diff --git a/docs/dev/reference/endpoints.html b/docs/dev/reference/endpoints.html
index db702c2e..aa5bd773 100644
--- a/docs/dev/reference/endpoints.html
+++ b/docs/dev/reference/endpoints.html
@@ -78,7 +78,7 @@ advantage that the SFORB model can also be used for metabolites." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -127,7 +127,7 @@ advantage that the SFORB model can also be used for metabolites." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -165,8 +165,8 @@ advantage that the SFORB model can also be used for metabolites.</p>
     <colgroup><col class="name" /><col class="desc" /></colgroup>
     <tr>
       <th>fit</th>
-      <td><p>An object of class <a href='mkinfit.html'>mkinfit</a>, <a href='nlme.mmkin.html'>nlme.mmkin</a> or
-<a href='saem.html'>saem.mmkin</a>. Or another object that has list components
+      <td><p>An object of class <a href='mkinfit.html'>mkinfit</a>, <a href='nlme.mmkin.html'>nlme.mmkin</a>, <a href='saem.html'>saem.mmkin</a> or
+<a href='nlmixr.mmkin.html'>nlmixr.mmkin</a>. Or another object that has list components
 mkinmod containing an <a href='mkinmod.html'>mkinmod</a> degradation model, and two numeric vectors,
 bparms.optim and bparms.fixed, that contain parameter values
 for that model.</p></td>
diff --git a/docs/dev/reference/experimental_data_for_UBA-1.png b/docs/dev/reference/experimental_data_for_UBA-1.png
index 24cb54c5..33946ded 100644
--- a/docs/dev/reference/experimental_data_for_UBA-1.png
+++ b/docs/dev/reference/experimental_data_for_UBA-1.png
diff --git a/docs/dev/reference/experimental_data_for_UBA.html b/docs/dev/reference/experimental_data_for_UBA.html
index 78e57fb0..9904370f 100644
--- a/docs/dev/reference/experimental_data_for_UBA.html
+++ b/docs/dev/reference/experimental_data_for_UBA.html
@@ -100,7 +100,7 @@ Dataset 12 is from the Renewal Assessment Report (RAR) for thifensulfuron-methyl
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -149,7 +149,7 @@ Dataset 12 is from the Renewal Assessment Report (RAR) for thifensulfuron-methyl
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/f_time_norm_focus.html b/docs/dev/reference/f_time_norm_focus.html
index 3421043d..852e00a0 100644
--- a/docs/dev/reference/f_time_norm_focus.html
+++ b/docs/dev/reference/f_time_norm_focus.html
@@ -73,7 +73,7 @@ in Appendix 8 to the FOCUS kinetics guidance (FOCUS 2014, p. 369)." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
diff --git a/docs/dev/reference/focus_soil_moisture.html b/docs/dev/reference/focus_soil_moisture.html
index c46fd69a..0e6fea28 100644
--- a/docs/dev/reference/focus_soil_moisture.html
+++ b/docs/dev/reference/focus_soil_moisture.html
@@ -73,7 +73,7 @@ corresponds to pF2, MWHC to pF 1 and 1/3 bar to pF 2.5." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ corresponds to pF2, MWHC to pF 1 and 1/3 bar to pF 2.5." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/get_deg_func.html b/docs/dev/reference/get_deg_func.html
index a266bf5f..fb661085 100644
--- a/docs/dev/reference/get_deg_func.html
+++ b/docs/dev/reference/get_deg_func.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -121,7 +121,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/ilr.html b/docs/dev/reference/ilr.html
index 98e51211..452647d6 100644
--- a/docs/dev/reference/ilr.html
+++ b/docs/dev/reference/ilr.html
@@ -73,7 +73,7 @@ transformations." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ transformations." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/index.html b/docs/dev/reference/index.html
index e038ef5c..092e35c8 100644
--- a/docs/dev/reference/index.html
+++ b/docs/dev/reference/index.html
@@ -71,7 +71,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -175,7 +175,7 @@
       </tr><tr>
         
         <td>
-          <p><code><a href="mmkin.html">mmkin()</a></code> </p>
+          <p><code><a href="mmkin.html">mmkin()</a></code> <code><a href="mmkin.html">print(<i>&lt;mmkin&gt;</i>)</a></code> </p>
         </td>
         <td><p>Fit one or more kinetic models with one or more state variables to one or
 more datasets</p></td>
@@ -297,12 +297,6 @@ of an mmkin object</p></td>
           <p><code><a href="AIC.mmkin.html">AIC(<i>&lt;mmkin&gt;</i>)</a></code> <code><a href="AIC.mmkin.html">BIC(<i>&lt;mmkin&gt;</i>)</a></code> </p>
         </td>
         <td><p>Calculate the AIC for a column of an mmkin object</p></td>
-      </tr><tr>
-        
-        <td>
-          <p><code><a href="print.mmkin.html">print(<i>&lt;mmkin&gt;</i>)</a></code> </p>
-        </td>
-        <td><p>Print method for mmkin objects</p></td>
       </tr>
     </tbody><tbody>
       <tr>
@@ -331,6 +325,12 @@ of an mmkin object</p></td>
       </tr><tr>
         
         <td>
+          <p><code><a href="nlmixr.mmkin.html">nlmixr(<i>&lt;mmkin&gt;</i>)</a></code> <code><a href="nlmixr.mmkin.html">print(<i>&lt;nlmixr.mmkin&gt;</i>)</a></code> <code><a href="nlmixr.mmkin.html">nlmixr_model()</a></code> <code><a href="nlmixr.mmkin.html">nlmixr_data()</a></code> </p>
+        </td>
+        <td><p>Fit nonlinear mixed models using nlmixr</p></td>
+      </tr><tr>
+        
+        <td>
           <p><code><a href="plot.mixed.mmkin.html">plot(<i>&lt;mixed.mmkin&gt;</i>)</a></code> </p>
         </td>
         <td><p>Plot predictions from a fitted nonlinear mixed model obtained via an mmkin row object</p></td>
@@ -343,13 +343,19 @@ of an mmkin object</p></td>
       </tr><tr>
         
         <td>
+          <p><code><a href="summary.nlmixr.mmkin.html">summary(<i>&lt;nlmixr.mmkin&gt;</i>)</a></code> <code><a href="summary.nlmixr.mmkin.html">print(<i>&lt;summary.nlmixr.mmkin&gt;</i>)</a></code> </p>
+        </td>
+        <td><p>Summary method for class "nlmixr.mmkin"</p></td>
+      </tr><tr>
+        
+        <td>
           <p><code><a href="summary.saem.mmkin.html">summary(<i>&lt;saem.mmkin&gt;</i>)</a></code> <code><a href="summary.saem.mmkin.html">print(<i>&lt;summary.saem.mmkin&gt;</i>)</a></code> </p>
         </td>
         <td><p>Summary method for class "saem.mmkin"</p></td>
       </tr><tr>
         
         <td>
-          <p><code><a href="nlme.html">nlme_function()</a></code> <code><a href="nlme.html">mean_degparms()</a></code> <code><a href="nlme.html">nlme_data()</a></code> </p>
+          <p><code><a href="nlme.html">nlme_function()</a></code> <code><a href="nlme.html">nlme_data()</a></code> </p>
         </td>
         <td><p>Helper functions to create nlme models from mmkin row objects</p></td>
       </tr><tr>
@@ -364,6 +370,24 @@ of an mmkin object</p></td>
           <p><code><a href="mixed.html">mixed()</a></code> <code><a href="mixed.html">print(<i>&lt;mixed.mmkin&gt;</i>)</a></code> </p>
         </td>
         <td><p>Create a mixed effects model from an mmkin row object</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="reexports.html">reexports</a></code> </p>
+        </td>
+        <td><p>Objects exported from other packages</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="intervals.saem.mmkin.html">intervals(<i>&lt;saem.mmkin&gt;</i>)</a></code> </p>
+        </td>
+        <td><p>Confidence intervals for parameters in saem.mmkin objects</p></td>
+      </tr><tr>
+        
+        <td>
+          <p><code><a href="intervals.nlmixr.mmkin.html">intervals(<i>&lt;nlmixr.mmkin&gt;</i>)</a></code> </p>
+        </td>
+        <td><p>Confidence intervals for parameters in nlmixr.mmkin objects</p></td>
       </tr>
     </tbody><tbody>
       <tr>
@@ -576,6 +600,12 @@ kinetic models fitted with mkinfit</p></td>
       </tr><tr>
         
         <td>
+          <p><code><a href="tffm0.html">tffm0()</a></code> <code><a href="tffm0.html">invtffm0()</a></code> </p>
+        </td>
+        <td><p>Transform formation fractions as in the first published mkin version</p></td>
+      </tr><tr>
+        
+        <td>
           <p><code><a href="logLik.mkinfit.html">logLik(<i>&lt;mkinfit&gt;</i>)</a></code> </p>
         </td>
         <td><p>Calculated the log-likelihood of a fitted mkinfit object</p></td>
@@ -612,6 +642,12 @@ kinetic models fitted with mkinfit</p></td>
       </tr><tr>
         
         <td>
+          <p><code><a href="mean_degparms.html">mean_degparms()</a></code> </p>
+        </td>
+        <td><p>Calculate mean degradation parameters for an mmkin row object</p></td>
+      </tr><tr>
+        
+        <td>
           <p><code><a href="create_deg_func.html">create_deg_func()</a></code> </p>
         </td>
         <td><p>Create degradation functions for known analytical solutions</p></td>
diff --git a/docs/dev/reference/intervals.nlmixr.mmkin.html b/docs/dev/reference/intervals.nlmixr.mmkin.html
new file mode 100644
index 00000000..ccc348b1
--- /dev/null
+++ b/docs/dev/reference/intervals.nlmixr.mmkin.html
@@ -0,0 +1,203 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+  <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Confidence intervals for parameters in nlmixr.mmkin objects — intervals.nlmixr.mmkin • mkin</title>
+
+
+<!-- jquery -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
+<!-- Bootstrap -->
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
+
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
+
+<!-- bootstrap-toc -->
+<link rel="stylesheet" href="../bootstrap-toc.css">
+<script src="../bootstrap-toc.js"></script>
+
+<!-- Font Awesome icons -->
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
+
+<!-- clipboard.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
+
+<!-- headroom.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
+
+<!-- pkgdown -->
+<link href="../pkgdown.css" rel="stylesheet">
+<script src="../pkgdown.js"></script>
+
+
+
+
+<meta property="og:title" content="Confidence intervals for parameters in nlmixr.mmkin objects — intervals.nlmixr.mmkin" />
+<meta property="og:description" content="Confidence intervals for parameters in nlmixr.mmkin objects" />
+
+
+<meta name="robots" content="noindex">
+
+<!-- mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
+
+<!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+
+
+
+  </head>
+
+  <body data-spy="scroll" data-target="#toc">
+    <div class="container template-reference-topic">
+      <header>
+      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../index.html">mkin</a>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+        <li>
+  <a href="../reference/index.html">Functions and data</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+    <li>
+      <a href="../articles/mkin.html">Introduction to mkin</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_D.html">Example evaluation of FOCUS Example Dataset D</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
+    </li>
+    <li>
+      <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
+    </li>
+  </ul>
+</li>
+<li>
+  <a href="../news/index.html">News</a>
+</li>
+      </ul>
+      <ul class="nav navbar-nav navbar-right">
+        <li>
+  <a href="https://github.com/jranke/mkin/">
+    <span class="fab fa-github fa-lg"></span>
+     
+  </a>
+</li>
+      </ul>
+      
+    </div><!--/.nav-collapse -->
+  </div><!--/.container -->
+</div><!--/.navbar -->
+
+      
+
+      </header>
+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Confidence intervals for parameters in nlmixr.mmkin objects</h1>
+    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/intervals.R'><code>R/intervals.R</code></a></small>
+    <div class="hidden name"><code>intervals.nlmixr.mmkin.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    <p>Confidence intervals for parameters in nlmixr.mmkin objects</p>
+    </div>
+
+    <pre class="usage"><span class='co'># S3 method for nlmixr.mmkin</span>
+<span class='fu'><a href='https://rdrr.io/pkg/nlme/man/intervals.html'>intervals</a></span><span class='op'>(</span><span class='va'>object</span>, level <span class='op'>=</span> <span class='fl'>0.95</span>, backtransform <span class='op'>=</span> <span class='cn'>TRUE</span>, <span class='va'>...</span><span class='op'>)</span></pre>
+
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>object</th>
+      <td><p>The fitted saem.mmkin object</p></td>
+    </tr>
+    <tr>
+      <th>level</th>
+      <td><p>The confidence level.</p></td>
+    </tr>
+    <tr>
+      <th>backtransform</th>
+      <td><p>Should we backtransform the parameters where a one to
+one correlation between transformed and backtransformed parameters exists?</p></td>
+    </tr>
+    </table>
+
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>An object with 'intervals.saem.mmkin' and 'intervals.lme' in the
+class attribute</p>
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+    <nav id="toc" data-toggle="toc" class="sticky-top">
+      <h2 data-toc-skip>Contents</h2>
+    </nav>
+  </div>
+</div>
+
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+</div>
+
+      </footer>
+   </div>
+
+  
+
+
+  </body>
+</html>
+
+
diff --git a/docs/dev/reference/intervals.saem.mmkin.html b/docs/dev/reference/intervals.saem.mmkin.html
new file mode 100644
index 00000000..a160b21d
--- /dev/null
+++ b/docs/dev/reference/intervals.saem.mmkin.html
@@ -0,0 +1,205 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+  <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Confidence intervals for parameters in saem.mmkin objects — intervals.saem.mmkin • mkin</title>
+
+
+<!-- jquery -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
+<!-- Bootstrap -->
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
+
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
+
+<!-- bootstrap-toc -->
+<link rel="stylesheet" href="../bootstrap-toc.css">
+<script src="../bootstrap-toc.js"></script>
+
+<!-- Font Awesome icons -->
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
+
+<!-- clipboard.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
+
+<!-- headroom.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
+
+<!-- pkgdown -->
+<link href="../pkgdown.css" rel="stylesheet">
+<script src="../pkgdown.js"></script>
+
+
+
+
+<meta property="og:title" content="Confidence intervals for parameters in saem.mmkin objects — intervals.saem.mmkin" />
+<meta property="og:description" content="Confidence intervals for parameters in saem.mmkin objects" />
+
+
+<meta name="robots" content="noindex">
+
+<!-- mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
+
+<!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+
+
+
+  </head>
+
+  <body data-spy="scroll" data-target="#toc">
+    <div class="container template-reference-topic">
+      <header>
+      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../index.html">mkin</a>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+        <li>
+  <a href="../reference/index.html">Functions and data</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+    <li>
+      <a href="../articles/mkin.html">Introduction to mkin</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_D.html">Example evaluation of FOCUS Example Dataset D</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
+    </li>
+    <li>
+      <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
+    </li>
+  </ul>
+</li>
+<li>
+  <a href="../news/index.html">News</a>
+</li>
+      </ul>
+      <ul class="nav navbar-nav navbar-right">
+        <li>
+  <a href="https://github.com/jranke/mkin/">
+    <span class="fab fa-github fa-lg"></span>
+     
+  </a>
+</li>
+      </ul>
+      
+    </div><!--/.nav-collapse -->
+  </div><!--/.container -->
+</div><!--/.navbar -->
+
+      
+
+      </header>
+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Confidence intervals for parameters in saem.mmkin objects</h1>
+    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/intervals.R'><code>R/intervals.R</code></a></small>
+    <div class="hidden name"><code>intervals.saem.mmkin.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    <p>Confidence intervals for parameters in saem.mmkin objects</p>
+    </div>
+
+    <pre class="usage"><span class='co'># S3 method for saem.mmkin</span>
+<span class='fu'><a href='https://rdrr.io/pkg/nlme/man/intervals.html'>intervals</a></span><span class='op'>(</span><span class='va'>object</span>, level <span class='op'>=</span> <span class='fl'>0.95</span>, backtransform <span class='op'>=</span> <span class='cn'>TRUE</span>, <span class='va'>...</span><span class='op'>)</span></pre>
+
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>object</th>
+      <td><p>The fitted saem.mmkin object</p></td>
+    </tr>
+    <tr>
+      <th>level</th>
+      <td><p>The confidence level. Must be the default of 0.95 as this is what
+is available in the saemix object</p></td>
+    </tr>
+    <tr>
+      <th>backtransform</th>
+      <td><p>In case the model was fitted with mkin transformations,
+should we backtransform the parameters where a one to one correlation
+between transformed and backtransformed parameters exists?</p></td>
+    </tr>
+    </table>
+
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>An object with 'intervals.saem.mmkin' and 'intervals.lme' in the
+class attribute</p>
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+    <nav id="toc" data-toggle="toc" class="sticky-top">
+      <h2 data-toc-skip>Contents</h2>
+    </nav>
+  </div>
+</div>
+
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+</div>
+
+      </footer>
+   </div>
+
+  
+
+
+  </body>
+</html>
+
+
diff --git a/docs/dev/reference/loftest-1.png b/docs/dev/reference/loftest-1.png
index 6b918fec..d6006ecc 100644
--- a/docs/dev/reference/loftest-1.png
+++ b/docs/dev/reference/loftest-1.png
diff --git a/docs/dev/reference/loftest-2.png b/docs/dev/reference/loftest-2.png
index 60874bd3..4d0dc551 100644
--- a/docs/dev/reference/loftest-2.png
+++ b/docs/dev/reference/loftest-2.png
diff --git a/docs/dev/reference/loftest-3.png b/docs/dev/reference/loftest-3.png
index 4837e7f2..6afd084b 100644
--- a/docs/dev/reference/loftest-3.png
+++ b/docs/dev/reference/loftest-3.png
diff --git a/docs/dev/reference/loftest-4.png b/docs/dev/reference/loftest-4.png
index 9c18ac30..f94eede1 100644
--- a/docs/dev/reference/loftest-4.png
+++ b/docs/dev/reference/loftest-4.png
diff --git a/docs/dev/reference/loftest-5.png b/docs/dev/reference/loftest-5.png
index 11f2bda7..43460a65 100644
--- a/docs/dev/reference/loftest-5.png
+++ b/docs/dev/reference/loftest-5.png
diff --git a/docs/dev/reference/loftest.html b/docs/dev/reference/loftest.html
index abbbd3b9..9dbd547d 100644
--- a/docs/dev/reference/loftest.html
+++ b/docs/dev/reference/loftest.html
@@ -75,7 +75,7 @@ lrtest.default from the lmtest package." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -124,7 +124,7 @@ lrtest.default from the lmtest package." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/logLik.mkinfit.html b/docs/dev/reference/logLik.mkinfit.html
index 66539dbd..3e9452c6 100644
--- a/docs/dev/reference/logLik.mkinfit.html
+++ b/docs/dev/reference/logLik.mkinfit.html
@@ -76,7 +76,7 @@ the error model." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ the error model." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -196,11 +196,11 @@ and the fitted error model parameters.</p>
     parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='st'>"m1"</span><span class='op'>)</span>,
     m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>
   <span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'>  <span class='va'>d_t</span> <span class='op'>&lt;-</span> <span class='va'>FOCUS_2006_D</span>
+</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'>  <span class='va'>d_t</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>FOCUS_2006_D</span>, <span class='va'>value</span> <span class='op'>!=</span> <span class='fl'>0</span><span class='op'>)</span>
   <span class='va'>f_nw</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>sfo_sfo</span>, <span class='va'>d_t</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> <span class='co'># no weighting (weights are unity)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'>  <span class='va'>f_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>sfo_sfo</span>, <span class='va'>d_t</span>, error_model <span class='op'>=</span> <span class='st'>"obs"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'>  <span class='va'>f_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>sfo_sfo</span>, <span class='va'>d_t</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f_nw</span>, <span class='va'>f_obs</span>, <span class='va'>f_tc</span><span class='op'>)</span>
+  <span class='va'>f_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/update.html'>update</a></span><span class='op'>(</span><span class='va'>f_nw</span>, error_model <span class='op'>=</span> <span class='st'>"obs"</span><span class='op'>)</span>
+  <span class='va'>f_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/update.html'>update</a></span><span class='op'>(</span><span class='va'>f_nw</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
+  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f_nw</span>, <span class='va'>f_obs</span>, <span class='va'>f_tc</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;       df      AIC
 #&gt; f_nw   5 204.4486
 #&gt; f_obs  6 205.8727
diff --git a/docs/dev/reference/logistic.solution-2.png b/docs/dev/reference/logistic.solution-2.png
index 764996df..73e6436d 100644
--- a/docs/dev/reference/logistic.solution-2.png
+++ b/docs/dev/reference/logistic.solution-2.png
diff --git a/docs/dev/reference/logistic.solution.html b/docs/dev/reference/logistic.solution.html
index 950e8a8e..ab68c99e 100644
--- a/docs/dev/reference/logistic.solution.html
+++ b/docs/dev/reference/logistic.solution.html
@@ -73,7 +73,7 @@ an increasing rate constant, supposedly caused by microbial growth" />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ an increasing rate constant, supposedly caused by microbial growth" />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -240,10 +240,10 @@ Version 1.1, 18 December 2014
   <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span><span class='op'>(</span><span class='va'>m</span><span class='op'>)</span>
 </div><div class='img'><img src='logistic.solution-2.png' alt='' width='700' height='433' /></div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>m</span><span class='op'>)</span><span class='op'>$</span><span class='va'>bpar</span>
 </div><div class='output co'>#&gt;              Estimate   se_notrans   t value       Pr(&gt;t)        Lower
-#&gt; parent_0 1.057896e+02 1.9023449703 55.610119 3.768361e-16 1.016451e+02
-#&gt; kmax     6.398190e-02 0.0143201031  4.467978 3.841829e-04 3.929235e-02
+#&gt; parent_0 1.057896e+02 1.9023449590 55.610120 3.768360e-16 1.016451e+02
+#&gt; kmax     6.398190e-02 0.0143201029  4.467978 3.841828e-04 3.929235e-02
 #&gt; k0       1.612775e-04 0.0005866813  0.274898 3.940351e-01 5.846688e-08
-#&gt; r        2.263946e-01 0.1718110715  1.317695 1.061044e-01 4.335843e-02
+#&gt; r        2.263946e-01 0.1718110662  1.317695 1.061043e-01 4.335843e-02
 #&gt; sigma    5.332935e+00 0.9145907310  5.830952 4.036926e-05 3.340213e+00
 #&gt;                Upper
 #&gt; parent_0 109.9341588
diff --git a/docs/dev/reference/lrtest.mkinfit.html b/docs/dev/reference/lrtest.mkinfit.html
index b76ebc87..f2d8472e 100644
--- a/docs/dev/reference/lrtest.mkinfit.html
+++ b/docs/dev/reference/lrtest.mkinfit.html
@@ -76,7 +76,7 @@ and can be expressed by fixing the parameters of the other." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ and can be expressed by fixing the parameters of the other." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/max_twa_parent.html b/docs/dev/reference/max_twa_parent.html
index 25f745e9..a358568a 100644
--- a/docs/dev/reference/max_twa_parent.html
+++ b/docs/dev/reference/max_twa_parent.html
@@ -78,7 +78,7 @@ soil section of the FOCUS guidance." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -127,7 +127,7 @@ soil section of the FOCUS guidance." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/mccall81_245T-1.png b/docs/dev/reference/mccall81_245T-1.png
index 5daa5f18..91fe060e 100644
--- a/docs/dev/reference/mccall81_245T-1.png
+++ b/docs/dev/reference/mccall81_245T-1.png
diff --git a/docs/dev/reference/mccall81_245T.html b/docs/dev/reference/mccall81_245T.html
index 7179533d..f79137be 100644
--- a/docs/dev/reference/mccall81_245T.html
+++ b/docs/dev/reference/mccall81_245T.html
@@ -74,7 +74,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -181,30 +181,30 @@
     <span class='va'>fit.1</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO_SFO</span>, <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>mccall81_245T</span>, <span class='va'>soil</span> <span class='op'>==</span> <span class='st'>"Commerce"</span><span class='op'>)</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'>    <span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>fit.1</span><span class='op'>)</span><span class='op'>$</span><span class='va'>bpar</span>
 </div><div class='output co'>#&gt;                         Estimate   se_notrans   t value       Pr(&gt;t)
-#&gt; T245_0              1.038550e+02 2.1847074888 47.537272 4.472189e-18
+#&gt; T245_0              1.038550e+02 2.1847074945 47.537272 4.472189e-18
 #&gt; k_T245              4.337042e-02 0.0018983965 22.845818 2.276911e-13
-#&gt; k_phenol            4.050581e-01 0.2986993400  1.356073 9.756988e-02
-#&gt; k_anisole           6.678742e-03 0.0008021439  8.326114 2.623176e-07
-#&gt; f_T245_to_phenol    6.227599e-01 0.3985340295  1.562627 6.949412e-02
-#&gt; f_phenol_to_anisole 1.000000e+00 0.6718439378  1.488441 7.867787e-02
-#&gt; sigma               2.514628e+00 0.4907558750  5.123989 6.233156e-05
+#&gt; k_phenol            4.050581e-01 0.2986993563  1.356073 9.756989e-02
+#&gt; k_anisole           6.678742e-03 0.0008021439  8.326114 2.623177e-07
+#&gt; f_T245_to_phenol    6.227599e-01 0.3985340558  1.562627 6.949413e-02
+#&gt; f_phenol_to_anisole 1.000000e+00 0.6718439825  1.488441 7.867789e-02
+#&gt; sigma               2.514628e+00 0.4907558883  5.123989 6.233157e-05
 #&gt;                            Lower        Upper
-#&gt; T245_0              99.246061370 1.084640e+02
+#&gt; T245_0              99.246061385 1.084640e+02
 #&gt; k_T245               0.039631621 4.746194e-02
-#&gt; k_phenol             0.218013878 7.525762e-01
+#&gt; k_phenol             0.218013879 7.525762e-01
 #&gt; k_anisole            0.005370739 8.305299e-03
-#&gt; f_T245_to_phenol     0.547559083 6.924813e-01
+#&gt; f_T245_to_phenol     0.547559081 6.924813e-01
 #&gt; f_phenol_to_anisole  0.000000000 1.000000e+00
 #&gt; sigma                1.706607296 3.322649e+00</div><div class='input'>    <span class='fu'><a href='endpoints.html'>endpoints</a></span><span class='op'>(</span><span class='va'>fit.1</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; $ff
 #&gt;    T245_phenol      T245_sink phenol_anisole    phenol_sink 
-#&gt;   6.227599e-01   3.772401e-01   1.000000e+00   6.894640e-11 
+#&gt;   6.227599e-01   3.772401e-01   1.000000e+00   3.773626e-10 
 #&gt; 
 #&gt; $distimes
 #&gt;               DT50      DT90
 #&gt; T245     15.982025  53.09114
 #&gt; phenol    1.711229   5.68458
-#&gt; anisole 103.784092 344.76329
+#&gt; anisole 103.784093 344.76329
 #&gt; </div><div class='input'>    <span class='co'># formation fraction from phenol to anisol is practically 1. As we cannot</span>
     <span class='co'># fix formation fractions when using the ilr transformation, we can turn of</span>
     <span class='co'># the sink in the model generation</span>
@@ -215,28 +215,28 @@
       quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'>    <span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>fit.2</span><span class='op'>)</span><span class='op'>$</span><span class='va'>bpar</span>
 </div><div class='output co'>#&gt;                      Estimate   se_notrans   t value       Pr(&gt;t)        Lower
-#&gt; T245_0           1.038550e+02 2.1623653027 48.028439 4.993108e-19 99.271020526
-#&gt; k_T245           4.337042e-02 0.0018343666 23.643268 3.573555e-14  0.039650977
-#&gt; k_phenol         4.050582e-01 0.1177237248  3.440752 1.679252e-03  0.218746585
-#&gt; k_anisole        6.678741e-03 0.0006829745  9.778903 1.872894e-08  0.005377083
-#&gt; f_T245_to_phenol 6.227599e-01 0.0342197865 18.198825 2.039410e-12  0.547975628
+#&gt; T245_0           1.038550e+02 2.1623653066 48.028439 4.993108e-19 99.271020284
+#&gt; k_T245           4.337042e-02 0.0018343666 23.643268 3.573556e-14  0.039650976
+#&gt; k_phenol         4.050582e-01 0.1177237473  3.440752 1.679254e-03  0.218746587
+#&gt; k_anisole        6.678742e-03 0.0006829745  9.778903 1.872894e-08  0.005377083
+#&gt; f_T245_to_phenol 6.227599e-01 0.0342197875 18.198824 2.039411e-12  0.547975637
 #&gt; sigma            2.514628e+00 0.3790944250  6.633250 2.875782e-06  1.710983655
 #&gt;                         Upper
-#&gt; T245_0           108.43904097
+#&gt; T245_0           108.43904074
 #&gt; k_T245             0.04743877
-#&gt; k_phenol           0.75005577
+#&gt; k_phenol           0.75005585
 #&gt; k_anisole          0.00829550
-#&gt; f_T245_to_phenol   0.69212306
+#&gt; f_T245_to_phenol   0.69212308
 #&gt; sigma              3.31827222</div><div class='input'>    <span class='fu'><a href='endpoints.html'>endpoints</a></span><span class='op'>(</span><span class='va'>fit.1</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; $ff
 #&gt;    T245_phenol      T245_sink phenol_anisole    phenol_sink 
-#&gt;   6.227599e-01   3.772401e-01   1.000000e+00   6.894640e-11 
+#&gt;   6.227599e-01   3.772401e-01   1.000000e+00   3.773626e-10 
 #&gt; 
 #&gt; $distimes
 #&gt;               DT50      DT90
 #&gt; T245     15.982025  53.09114
 #&gt; phenol    1.711229   5.68458
-#&gt; anisole 103.784092 344.76329
+#&gt; anisole 103.784093 344.76329
 #&gt; </div><div class='input'>    <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span><span class='op'>(</span><span class='va'>fit.2</span><span class='op'>)</span>
 </div><div class='img'><img src='mccall81_245T-1.png' alt='' width='700' height='433' /></div><div class='input'>  <span class='co'># }</span>
 </div></pre>
diff --git a/docs/dev/reference/mean_degparms.html b/docs/dev/reference/mean_degparms.html
new file mode 100644
index 00000000..5981c625
--- /dev/null
+++ b/docs/dev/reference/mean_degparms.html
@@ -0,0 +1,210 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+  <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Calculate mean degradation parameters for an mmkin row object — mean_degparms • mkin</title>
+
+
+<!-- jquery -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
+<!-- Bootstrap -->
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
+
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
+
+<!-- bootstrap-toc -->
+<link rel="stylesheet" href="../bootstrap-toc.css">
+<script src="../bootstrap-toc.js"></script>
+
+<!-- Font Awesome icons -->
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
+
+<!-- clipboard.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
+
+<!-- headroom.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
+
+<!-- pkgdown -->
+<link href="../pkgdown.css" rel="stylesheet">
+<script src="../pkgdown.js"></script>
+
+
+
+
+<meta property="og:title" content="Calculate mean degradation parameters for an mmkin row object — mean_degparms" />
+<meta property="og:description" content="Calculate mean degradation parameters for an mmkin row object" />
+
+
+<meta name="robots" content="noindex">
+
+<!-- mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
+
+<!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+
+
+
+  </head>
+
+  <body data-spy="scroll" data-target="#toc">
+    <div class="container template-reference-topic">
+      <header>
+      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../index.html">mkin</a>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+        <li>
+  <a href="../reference/index.html">Functions and data</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+    <li>
+      <a href="../articles/mkin.html">Introduction to mkin</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_D.html">Example evaluation of FOCUS Example Dataset D</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
+    </li>
+    <li>
+      <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
+    </li>
+  </ul>
+</li>
+<li>
+  <a href="../news/index.html">News</a>
+</li>
+      </ul>
+      <ul class="nav navbar-nav navbar-right">
+        <li>
+  <a href="https://github.com/jranke/mkin/">
+    <span class="fab fa-github fa-lg"></span>
+     
+  </a>
+</li>
+      </ul>
+      
+    </div><!--/.nav-collapse -->
+  </div><!--/.container -->
+</div><!--/.navbar -->
+
+      
+
+      </header>
+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Calculate mean degradation parameters for an mmkin row object</h1>
+    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/mean_degparms.R'><code>R/mean_degparms.R</code></a></small>
+    <div class="hidden name"><code>mean_degparms.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    <p>Calculate mean degradation parameters for an mmkin row object</p>
+    </div>
+
+    <pre class="usage"><span class='fu'>mean_degparms</span><span class='op'>(</span><span class='va'>object</span>, random <span class='op'>=</span> <span class='cn'>FALSE</span>, test_log_parms <span class='op'>=</span> <span class='cn'>FALSE</span>, conf.level <span class='op'>=</span> <span class='fl'>0.6</span><span class='op'>)</span></pre>
+
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>object</th>
+      <td><p>An mmkin row object containing several fits of the same model to different datasets</p></td>
+    </tr>
+    <tr>
+      <th>random</th>
+      <td><p>Should a list with fixed and random effects be returned?</p></td>
+    </tr>
+    <tr>
+      <th>test_log_parms</th>
+      <td><p>If TRUE, log parameters are only considered in
+the mean calculations if their untransformed counterparts (most likely
+rate constants) pass the t-test for significant difference from zero.</p></td>
+    </tr>
+    <tr>
+      <th>conf.level</th>
+      <td><p>Possibility to adjust the required confidence level
+for parameter that are tested if requested by 'test_log_parms'.</p></td>
+    </tr>
+    </table>
+
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>If random is FALSE (default), a named vector containing mean values
+of the fitted degradation model parameters. If random is TRUE, a list with
+fixed and random effects, in the format required by the start argument of
+nlme for the case of a single grouping variable ds.</p>
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+    <nav id="toc" data-toggle="toc" class="sticky-top">
+      <h2 data-toc-skip>Contents</h2>
+    </nav>
+  </div>
+</div>
+
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+</div>
+
+      </footer>
+   </div>
+
+  
+
+
+  </body>
+</html>
+
+
diff --git a/docs/dev/reference/mixed-1.png b/docs/dev/reference/mixed-1.png
index 3400c4aa..422ab6a0 100644
--- a/docs/dev/reference/mixed-1.png
+++ b/docs/dev/reference/mixed-1.png
diff --git a/docs/dev/reference/mixed.html b/docs/dev/reference/mixed.html
index 18a67af8..4c849671 100644
--- a/docs/dev/reference/mixed.html
+++ b/docs/dev/reference/mixed.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -121,7 +121,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -180,6 +180,10 @@
     </tr>
     </table>
 
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>An object of class 'mixed.mmkin' which has the observed data in a
+single dataframe which is convenient for plotting</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
     <pre class="examples"><div class='input'><span class='va'>sampling_times</span> <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>3</span>, <span class='fl'>7</span>, <span class='fl'>14</span>, <span class='fl'>28</span>, <span class='fl'>60</span>, <span class='fl'>90</span>, <span class='fl'>120</span><span class='op'>)</span>
@@ -235,18 +239,16 @@
 #&gt; Status of individual fits:
 #&gt; 
 #&gt;           dataset
-#&gt; model      1  2  3  4  5  6 7  8 
-#&gt;   DFOP-SFO OK OK OK OK OK C OK OK
+#&gt; model      1  2  3  4  5  6  7  8 
+#&gt;   DFOP-SFO OK OK OK OK OK OK OK OK
 #&gt; 
 #&gt; OK: No warnings
-#&gt; C: Optimisation did not converge:
-#&gt; iteration limit reached without convergence (10)
 #&gt; 
 #&gt; Mean fitted parameters:
 #&gt;        parent_0        log_k_m1 f_parent_qlogis          log_k1          log_k2 
-#&gt;      100.606304       -8.759216       -0.002001       -3.350539       -3.989549 
+#&gt;      100.674757       -8.761916       -0.004347       -3.348812       -3.986853 
 #&gt;        g_qlogis 
-#&gt;       -0.090353 </div><div class='input'><span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_mixed</span><span class='op'>)</span>
+#&gt;       -0.087392 </div><div class='input'><span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_mixed</span><span class='op'>)</span>
 </div><div class='img'><img src='mixed-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='co'># }</span>
 </div></pre>
   </div>
diff --git a/docs/dev/reference/mkin_long_to_wide.html b/docs/dev/reference/mkin_long_to_wide.html
index 28a37800..6246fbe2 100644
--- a/docs/dev/reference/mkin_long_to_wide.html
+++ b/docs/dev/reference/mkin_long_to_wide.html
@@ -74,7 +74,7 @@ variable and several dependent variables as columns." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -123,7 +123,7 @@ variable and several dependent variables as columns." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/mkin_wide_to_long.html b/docs/dev/reference/mkin_wide_to_long.html
index f085d162..f2bf00c1 100644
--- a/docs/dev/reference/mkin_wide_to_long.html
+++ b/docs/dev/reference/mkin_wide_to_long.html
@@ -74,7 +74,7 @@ mkinfit." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -123,7 +123,7 @@ mkinfit." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/mkinds.html b/docs/dev/reference/mkinds.html
index 907f8ad3..0d1de46d 100644
--- a/docs/dev/reference/mkinds.html
+++ b/docs/dev/reference/mkinds.html
@@ -75,7 +75,7 @@ provided by this package come as mkinds objects nevertheless." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -124,7 +124,7 @@ provided by this package come as mkinds objects nevertheless." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/mkindsg.html b/docs/dev/reference/mkindsg.html
index 3e4dfb39..67c6e5df 100644
--- a/docs/dev/reference/mkindsg.html
+++ b/docs/dev/reference/mkindsg.html
@@ -75,7 +75,7 @@ dataset if no data are supplied." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -124,7 +124,7 @@ dataset if no data are supplied." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -239,12 +239,12 @@ or covariates like soil pH).</p></dd>
 <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>mdsg</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; &lt;mkindsg&gt; holding 5 mkinds objects
 #&gt; Title $title:  Experimental X 
-#&gt; Occurrene of observed compounds $observed_n:
+#&gt; Occurrence of observed compounds $observed_n:
 #&gt; parent     A1 
 #&gt;      5      5 </div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>mdsg</span>, verbose <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; &lt;mkindsg&gt; holding 5 mkinds objects
 #&gt; Title $title:  Experimental X 
-#&gt; Occurrene of observed compounds $observed_n:
+#&gt; Occurrence of observed compounds $observed_n:
 #&gt; parent     A1 
 #&gt;      5      5 
 #&gt; 
@@ -290,7 +290,7 @@ or covariates like soil pH).</p></dd>
 #&gt; Observation unit:  \%AR </div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>mdsg</span>, verbose <span class='op'>=</span> <span class='cn'>TRUE</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; &lt;mkindsg&gt; holding 5 mkinds objects
 #&gt; Title $title:  Experimental X 
-#&gt; Occurrene of observed compounds $observed_n:
+#&gt; Occurrence of observed compounds $observed_n:
 #&gt; parent     A1 
 #&gt;      5      5 
 #&gt; 
diff --git a/docs/dev/reference/mkinerrmin.html b/docs/dev/reference/mkinerrmin.html
index 1cff040d..94c575cb 100644
--- a/docs/dev/reference/mkinerrmin.html
+++ b/docs/dev/reference/mkinerrmin.html
@@ -73,7 +73,7 @@ the chi-squared test as defined in the FOCUS kinetics report from 2006." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ the chi-squared test as defined in the FOCUS kinetics report from 2006." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/mkinerrplot.html b/docs/dev/reference/mkinerrplot.html
index 2324b968..7f1fd048 100644
--- a/docs/dev/reference/mkinerrplot.html
+++ b/docs/dev/reference/mkinerrplot.html
@@ -76,7 +76,7 @@ using the argument show_errplot = TRUE." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ using the argument show_errplot = TRUE." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/mkinfit-1.png b/docs/dev/reference/mkinfit-1.png
index eed9064f..de2a90a9 100644
--- a/docs/dev/reference/mkinfit-1.png
+++ b/docs/dev/reference/mkinfit-1.png
diff --git a/docs/dev/reference/mkinfit.html b/docs/dev/reference/mkinfit.html
index 6ae7b343..5910038f 100644
--- a/docs/dev/reference/mkinfit.html
+++ b/docs/dev/reference/mkinfit.html
@@ -80,7 +80,7 @@ likelihood function." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -431,17 +431,17 @@ doi: <a href='https://doi.org/10.3390/environments6120124'>10.3390/environments6
 <span class='co'># Use shorthand notation for parent only degradation</span>
 <span class='va'>fit</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='st'>"FOMC"</span>, <span class='va'>FOCUS_2006_C</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 <span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; mkin version used for fitting:    0.9.50.4 
+</div><div class='output co'>#&gt; mkin version used for fitting:    1.0.3.9000 
 #&gt; R version used for fitting:       4.0.3 
-#&gt; Date of fit:     Mon Jan 11 12:41:45 2021 
-#&gt; Date of summary: Mon Jan 11 12:41:45 2021 
+#&gt; Date of fit:     Mon Feb 15 17:09:39 2021 
+#&gt; Date of summary: Mon Feb 15 17:09:39 2021 
 #&gt; 
 #&gt; Equations:
 #&gt; d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
 #&gt; 
 #&gt; Model predictions using solution type analytical 
 #&gt; 
-#&gt; Fitted using 222 model solutions performed in 0.046 s
+#&gt; Fitted using 222 model solutions performed in 0.045 s
 #&gt; 
 #&gt; Error model: Constant variance 
 #&gt; 
@@ -476,10 +476,10 @@ doi: <a href='https://doi.org/10.3390/environments6120124'>10.3390/environments6
 #&gt; 
 #&gt; Parameter correlation:
 #&gt;             parent_0  log_alpha   log_beta     sigma
-#&gt; parent_0   1.000e+00 -1.565e-01 -3.142e-01 4.758e-08
-#&gt; log_alpha -1.565e-01  1.000e+00  9.564e-01 1.007e-07
-#&gt; log_beta  -3.142e-01  9.564e-01  1.000e+00 8.568e-08
-#&gt; sigma      4.758e-08  1.007e-07  8.568e-08 1.000e+00
+#&gt; parent_0   1.000e+00 -1.565e-01 -3.142e-01 4.772e-08
+#&gt; log_alpha -1.565e-01  1.000e+00  9.564e-01 1.005e-07
+#&gt; log_beta  -3.142e-01  9.564e-01  1.000e+00 8.541e-08
+#&gt; sigma      4.772e-08  1.005e-07  8.541e-08 1.000e+00
 #&gt; 
 #&gt; Backtransformed parameters:
 #&gt; Confidence intervals for internally transformed parameters are asymmetric.
@@ -548,7 +548,7 @@ doi: <a href='https://doi.org/10.3390/environments6120124'>10.3390/environments6
 #&gt; ---
 #&gt; Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</div><div class='input'><span class='fu'><a href='parms.html'>parms</a></span><span class='op'>(</span><span class='va'>fit.tc</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;       parent_0       k_parent           k_m1 f_parent_to_m1      sigma_low 
-#&gt;   1.007343e+02   1.005562e-01   5.166712e-03   5.083933e-01   3.049884e-03 
+#&gt;   1.007343e+02   1.005562e-01   5.166712e-03   5.083933e-01   3.049883e-03 
 #&gt;       rsd_high 
 #&gt;   7.928118e-02 </div><div class='input'><span class='fu'><a href='endpoints.html'>endpoints</a></span><span class='op'>(</span><span class='va'>fit.tc</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; $ff
@@ -574,10 +574,10 @@ doi: <a href='https://doi.org/10.3390/environments6120124'>10.3390/environments6
     analytical <span class='op'>=</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span>,
       solution_type <span class='op'>=</span> <span class='st'>"analytical"</span><span class='op'>)</span><span class='op'>)</span>
 <span class='op'>}</span>
-</div><div class='output co'>#&gt; <span class='message'>Loading required package: rbenchmark</span></div><div class='output co'>#&gt;               test relative elapsed
-#&gt; 3       analytical    1.000   0.526
-#&gt; 1 deSolve_compiled    1.903   1.001
-#&gt; 2            eigen    2.308   1.214</div><div class='input'><span class='co'># }</span>
+</div><div class='output co'>#&gt;               test relative elapsed
+#&gt; 3       analytical    1.000   0.563
+#&gt; 1 deSolve_compiled    1.702   0.958
+#&gt; 2            eigen    2.597   1.462</div><div class='input'><span class='co'># }</span>
 
 <span class='co'># Use stepwise fitting, using optimised parameters from parent only fit, FOMC-SFO</span>
 <span class='co'># \dontrun{</span>
@@ -587,22 +587,21 @@ doi: <a href='https://doi.org/10.3390/environments6120124'>10.3390/environments6
 </div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='va'>fit.FOMC_SFO</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>FOMC_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 <span class='co'># Again, we get a warning and try a more sophisticated error model</span>
 <span class='va'>fit.FOMC_SFO.tc</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>FOMC_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Optimisation did not converge:</span>
-#&gt; <span class='warning'>iteration limit reached without convergence (10)</span></div><div class='input'><span class='co'># This model has a higher likelihood, but not significantly so</span>
+<span class='co'># This model has a higher likelihood, but not significantly so</span>
 <span class='fu'><a href='https://rdrr.io/pkg/lmtest/man/lrtest.html'>lrtest</a></span><span class='op'>(</span><span class='va'>fit.tc</span>, <span class='va'>fit.FOMC_SFO.tc</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; Likelihood ratio test
 #&gt; 
 #&gt; Model 1: FOMC_SFO with error model tc and fixed parameter(s) m1_0
 #&gt; Model 2: SFO_SFO with error model tc and fixed parameter(s) m1_0
 #&gt;   #Df  LogLik Df  Chisq Pr(&gt;Chisq)
-#&gt; 1   7 -64.870                     
-#&gt; 2   6 -64.983 -1 0.2259     0.6346</div><div class='input'><span class='co'># Also, the missing standard error for log_beta and the t-tests for alpha</span>
+#&gt; 1   7 -64.829                     
+#&gt; 2   6 -64.983 -1 0.3075     0.5792</div><div class='input'><span class='co'># Also, the missing standard error for log_beta and the t-tests for alpha</span>
 <span class='co'># and beta indicate overparameterisation</span>
 <span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>fit.FOMC_SFO.tc</span>, data <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: NaNs produced</span></div><div class='output co'>#&gt; <span class='warning'>Warning: NaNs produced</span></div><div class='output co'>#&gt; <span class='warning'>Warning: NaNs produced</span></div><div class='output co'>#&gt; <span class='warning'>Warning: diag(.) had 0 or NA entries; non-finite result is doubtful</span></div><div class='output co'>#&gt; mkin version used for fitting:    0.9.50.4 
+</div><div class='output co'>#&gt; <span class='warning'>Warning: NaNs produced</span></div><div class='output co'>#&gt; <span class='warning'>Warning: NaNs produced</span></div><div class='output co'>#&gt; <span class='warning'>Warning: diag(.) had 0 or NA entries; non-finite result is doubtful</span></div><div class='output co'>#&gt; mkin version used for fitting:    1.0.3.9000 
 #&gt; R version used for fitting:       4.0.3 
-#&gt; Date of fit:     Mon Jan 11 12:41:56 2021 
-#&gt; Date of summary: Mon Jan 11 12:41:56 2021 
+#&gt; Date of fit:     Mon Feb 15 17:09:50 2021 
+#&gt; Date of summary: Mon Feb 15 17:09:50 2021 
 #&gt; 
 #&gt; Equations:
 #&gt; d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
@@ -611,12 +610,12 @@ doi: <a href='https://doi.org/10.3390/environments6120124'>10.3390/environments6
 #&gt; 
 #&gt; Model predictions using solution type deSolve 
 #&gt; 
-#&gt; Fitted using 4273 model solutions performed in 3.456 s
+#&gt; Fitted using 3729 model solutions performed in 2.815 s
 #&gt; 
 #&gt; Error model: Two-component variance function 
 #&gt; 
 #&gt; Error model algorithm: d_3 
-#&gt; Three-step fitting yielded a higher likelihood than direct fitting 
+#&gt; Direct fitting and three-step fitting yield approximately the same likelihood 
 #&gt; 
 #&gt; Starting values for parameters to be optimised:
 #&gt;                 value   type
@@ -642,72 +641,67 @@ doi: <a href='https://doi.org/10.3390/environments6120124'>10.3390/environments6
 #&gt;      value  type
 #&gt; m1_0     0 state
 #&gt; 
-#&gt; 
-#&gt; Warning(s): 
-#&gt; Optimisation did not converge:
-#&gt; iteration limit reached without convergence (10)
-#&gt; 
 #&gt; Results:
 #&gt; 
-#&gt;        AIC      BIC    logLik
-#&gt;   143.7396 155.2027 -64.86982
+#&gt;       AIC      BIC    logLik
+#&gt;   143.658 155.1211 -64.82902
 #&gt; 
 #&gt; Optimised, transformed parameters with symmetric confidence intervals:
-#&gt;                   Estimate Std. Error   Lower    Upper
-#&gt; parent_0         1.016e+02    1.90600 97.7400 105.5000
-#&gt; log_k_m1        -5.285e+00    0.09286 -5.4740  -5.0950
-#&gt; f_parent_qlogis  6.482e-04    0.06164 -0.1251   0.1264
-#&gt; log_alpha        5.467e+00        NaN     NaN      NaN
-#&gt; log_beta         7.750e+00        NaN     NaN      NaN
-#&gt; sigma_low        0.000e+00        NaN     NaN      NaN
-#&gt; rsd_high         7.989e-02        NaN     NaN      NaN
+#&gt;                   Estimate Std. Error     Lower      Upper
+#&gt; parent_0        101.600000  2.6400000 96.240000 107.000000
+#&gt; log_k_m1         -5.284000  0.0929100 -5.474000  -5.095000
+#&gt; f_parent_qlogis   0.001426  0.0767000 -0.155000   0.157800
+#&gt; log_alpha         5.522000  0.0077320  5.506000   5.538000
+#&gt; log_beta          7.806000        NaN       NaN        NaN
+#&gt; sigma_low         0.002488  0.0002431  0.001992   0.002984
+#&gt; rsd_high          0.079210  0.0093280  0.060180   0.098230
 #&gt; 
 #&gt; Parameter correlation:
-#&gt;                   parent_0   log_k_m1 f_parent_qlogis log_alpha log_beta
-#&gt; parent_0         1.0000000 -0.0002167         -0.6060       NaN      NaN
-#&gt; log_k_m1        -0.0002167  1.0000000          0.5474       NaN      NaN
-#&gt; f_parent_qlogis -0.6060320  0.5474423          1.0000       NaN      NaN
-#&gt; log_alpha              NaN        NaN             NaN         1      NaN
-#&gt; log_beta               NaN        NaN             NaN       NaN        1
-#&gt; sigma_low              NaN        NaN             NaN       NaN      NaN
-#&gt; rsd_high               NaN        NaN             NaN       NaN      NaN
-#&gt;                 sigma_low rsd_high
-#&gt; parent_0              NaN      NaN
-#&gt; log_k_m1              NaN      NaN
-#&gt; f_parent_qlogis       NaN      NaN
-#&gt; log_alpha             NaN      NaN
-#&gt; log_beta              NaN      NaN
-#&gt; sigma_low               1      NaN
-#&gt; rsd_high              NaN        1
+#&gt;                  parent_0  log_k_m1 f_parent_qlogis log_alpha log_beta
+#&gt; parent_0         1.000000 -0.095226        -0.76678   0.70544      NaN
+#&gt; log_k_m1        -0.095226  1.000000         0.51432  -0.14387      NaN
+#&gt; f_parent_qlogis -0.766780  0.514321         1.00000  -0.61396      NaN
+#&gt; log_alpha        0.705444 -0.143872        -0.61396   1.00000      NaN
+#&gt; log_beta              NaN       NaN             NaN       NaN        1
+#&gt; sigma_low        0.016073  0.001586         0.01548   5.87007      NaN
+#&gt; rsd_high         0.006626 -0.011700        -0.05357   0.04849      NaN
+#&gt;                 sigma_low  rsd_high
+#&gt; parent_0         0.016073  0.006626
+#&gt; log_k_m1         0.001586 -0.011700
+#&gt; f_parent_qlogis  0.015476 -0.053566
+#&gt; log_alpha        5.870075  0.048487
+#&gt; log_beta              NaN       NaN
+#&gt; sigma_low        1.000000 -0.652558
+#&gt; rsd_high        -0.652558  1.000000
 #&gt; 
 #&gt; Backtransformed parameters:
 #&gt; Confidence intervals for internally transformed parameters are asymmetric.
 #&gt; t-test (unrealistically) based on the assumption of normal distribution
 #&gt; for estimators of untransformed parameters.
 #&gt;                 Estimate t value    Pr(&gt;t)     Lower     Upper
-#&gt; parent_0       1.016e+02 32.5400 7.812e-26 97.740000 1.055e+02
-#&gt; k_m1           5.069e-03 10.0400 1.448e-11  0.004194 6.126e-03
-#&gt; f_parent_to_m1 5.002e-01 20.7300 5.001e-20  0.468800 5.315e-01
-#&gt; alpha          2.367e+02  0.6205 2.697e-01        NA        NA
-#&gt; beta           2.322e+03  0.6114 2.727e-01        NA        NA
-#&gt; sigma_low      0.000e+00     NaN       NaN       NaN       NaN
-#&gt; rsd_high       7.989e-02  8.6630 4.393e-10       NaN       NaN
+#&gt; parent_0       1.016e+02 32.7800 6.311e-26 9.624e+01 1.070e+02
+#&gt; k_m1           5.072e-03 10.1200 1.216e-11 4.196e-03 6.130e-03
+#&gt; f_parent_to_m1 5.004e-01 20.8300 4.317e-20 4.613e-01 5.394e-01
+#&gt; alpha          2.502e+02  0.5624 2.889e-01 2.463e+02 2.542e+02
+#&gt; beta           2.455e+03  0.5549 2.915e-01        NA        NA
+#&gt; sigma_low      2.488e-03  0.4843 3.158e-01 1.992e-03 2.984e-03
+#&gt; rsd_high       7.921e-02  8.4300 8.001e-10 6.018e-02 9.823e-02
 #&gt; 
 #&gt; FOCUS Chi2 error levels in percent:
 #&gt;          err.min n.optim df
-#&gt; All data   6.782       5 14
-#&gt; parent     7.142       3  6
-#&gt; m1         4.639       2  8
+#&gt; All data   6.781       5 14
+#&gt; parent     7.141       3  6
+#&gt; m1         4.640       2  8
 #&gt; 
 #&gt; Resulting formation fractions:
 #&gt;                 ff
-#&gt; parent_m1   0.5002
-#&gt; parent_sink 0.4998
+#&gt; parent_m1   0.5004
+#&gt; parent_sink 0.4996
 #&gt; 
 #&gt; Estimated disappearance times:
-#&gt;          DT50  DT90 DT50back
-#&gt; parent   6.81  22.7    6.833
-#&gt; m1     136.74 454.2       NA</div><div class='input'>
+#&gt;           DT50  DT90 DT50back
+#&gt; parent   6.812  22.7    6.834
+#&gt; m1     136.661 454.0       NA</div><div class='input'>
 <span class='co'># We can easily use starting parameters from the parent only fit (only for illustration)</span>
 <span class='va'>fit.FOMC</span> <span class='op'>=</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='st'>"FOMC"</span>, <span class='va'>FOCUS_2006_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
 <span class='va'>fit.FOMC_SFO</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>FOMC_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>,
diff --git a/docs/dev/reference/mkinmod.html b/docs/dev/reference/mkinmod.html
index 9a7dac6f..60a0af96 100644
--- a/docs/dev/reference/mkinmod.html
+++ b/docs/dev/reference/mkinmod.html
@@ -44,9 +44,7 @@
 variable, specifying the corresponding submodel as well as outgoing pathways
 (see examples).
 Print mkinmod objects in a way that the user finds his way to get to its
-components.
-This is a convenience function to set up the lists used as arguments for
-mkinmod." />
+components." />
 
 
 <meta name="robots" content="noindex">
@@ -78,7 +76,7 @@ mkinmod." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -127,7 +125,7 @@ mkinmod." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -155,8 +153,6 @@ variable, specifying the corresponding submodel as well as outgoing pathways
 (see examples).</p>
 <p>Print mkinmod objects in a way that the user finds his way to get to its
 components.</p>
-<p>This is a convenience function to set up the lists used as arguments for
-<code>mkinmod</code>.</p>
     </div>
 
     <pre class="usage"><span class='fu'>mkinmod</span><span class='op'>(</span>
@@ -348,7 +344,7 @@ Evaluating and Calculating Degradation Kinetics in Environmental Media</p>
    parent <span class='op'>=</span> <span class='fu'>mkinsub</span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"m1"</span>, full_name <span class='op'>=</span> <span class='st'>"Test compound"</span><span class='op'>)</span>,
    m1 <span class='op'>=</span> <span class='fu'>mkinsub</span><span class='op'>(</span><span class='st'>"SFO"</span>, full_name <span class='op'>=</span> <span class='st'>"Metabolite M1"</span><span class='op'>)</span>,
    name <span class='op'>=</span> <span class='st'>"SFO_SFO"</span>, dll_dir <span class='op'>=</span> <span class='va'>DLL_dir</span>, unload <span class='op'>=</span> <span class='cn'>TRUE</span>, overwrite <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Copied DLL from /tmp/Rtmpy4eiQb/file554e573761a7.so to /home/jranke/.local/share/mkin/SFO_SFO.so</span></div><div class='input'><span class='co'># Now we can save the model and restore it in a new session</span>
+</div><div class='output co'>#&gt; <span class='message'>Copied DLL from /tmp/RtmpWsX48Z/file1029f864aada00.so to /home/jranke/.local/share/mkin/SFO_SFO.so</span></div><div class='input'><span class='co'># Now we can save the model and restore it in a new session</span>
 <span class='fu'><a href='https://rdrr.io/r/base/readRDS.html'>saveRDS</a></span><span class='op'>(</span><span class='va'>SFO_SFO.2</span>, file <span class='op'>=</span> <span class='st'>"~/SFO_SFO.rds"</span><span class='op'>)</span>
 <span class='co'># Terminate the R session here if you would like to check, and then do</span>
 <span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'><a href='https://pkgdown.jrwb.de/mkin/'>mkin</a></span><span class='op'>)</span>
@@ -397,7 +393,7 @@ Evaluating and Calculating Degradation Kinetics in Environmental Media</p>
 #&gt;     })
 #&gt;     return(predicted)
 #&gt; }
-#&gt; &lt;environment: 0x55555cac8d00&gt;</div><div class='input'>
+#&gt; &lt;environment: 0x55555cc38878&gt;</div><div class='input'>
 <span class='co'># If we have several parallel metabolites</span>
 <span class='co'># (compare tests/testthat/test_synthetic_data_for_UBA_2014.R)</span>
 <span class='va'>m_synth_DFOP_par</span> <span class='op'>&lt;-</span> <span class='fu'>mkinmod</span><span class='op'>(</span>
diff --git a/docs/dev/reference/mkinparplot-1.png b/docs/dev/reference/mkinparplot-1.png
index dcf3e4b5..c9ed49eb 100644
--- a/docs/dev/reference/mkinparplot-1.png
+++ b/docs/dev/reference/mkinparplot-1.png
diff --git a/docs/dev/reference/mkinparplot.html b/docs/dev/reference/mkinparplot.html
index 0a989ef9..bac6e71c 100644
--- a/docs/dev/reference/mkinparplot.html
+++ b/docs/dev/reference/mkinparplot.html
@@ -73,7 +73,7 @@ mkinfit." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ mkinfit." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -176,7 +176,8 @@ effect, namely to produce a plot.</p>
   phenol <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"anisole"</span><span class='op'>)</span><span class='op'>)</span>,
   anisole <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>, use_of_ff <span class='op'>=</span> <span class='st'>"max"</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='va'>fit</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>model</span>, <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>mccall81_245T</span>, <span class='va'>soil</span> <span class='op'>==</span> <span class='st'>"Commerce"</span><span class='op'>)</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'>mkinparplot</span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='output co'>#&gt; <span class='warning'>Warning: Optimisation did not converge:</span>
+#&gt; <span class='warning'>false convergence (8)</span></div><div class='input'><span class='fu'>mkinparplot</span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
 </div><div class='img'><img src='mkinparplot-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='co'># }</span>
 </div></pre>
   </div>
diff --git a/docs/dev/reference/mkinplot.html b/docs/dev/reference/mkinplot.html
index 417c8c73..120bddb3 100644
--- a/docs/dev/reference/mkinplot.html
+++ b/docs/dev/reference/mkinplot.html
@@ -73,7 +73,7 @@ plot.mkinfit." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ plot.mkinfit." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/mkinpredict.html b/docs/dev/reference/mkinpredict.html
index 3221fc23..1ebaecb5 100644
--- a/docs/dev/reference/mkinpredict.html
+++ b/docs/dev/reference/mkinpredict.html
@@ -74,7 +74,7 @@ kinetic parameters and initial values for the state variables." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -123,7 +123,7 @@ kinetic parameters and initial values for the state variables." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -408,10 +408,10 @@ as these always return mapped output.</p></td>
       solution_type <span class='op'>=</span> <span class='st'>"analytical"</span>, use_compiled <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span><span class='op'>[</span><span class='fl'>201</span>,<span class='op'>]</span><span class='op'>)</span>
 <span class='op'>}</span>
 </div><div class='output co'>#&gt;               test relative elapsed
+#&gt; 2 deSolve_compiled      1.0   0.005
 #&gt; 4       analytical      1.0   0.005
-#&gt; 2 deSolve_compiled      1.2   0.006
-#&gt; 1            eigen      4.0   0.020
-#&gt; 3          deSolve     44.2   0.221</div><div class='input'>
+#&gt; 1            eigen      4.4   0.022
+#&gt; 3          deSolve     46.8   0.234</div><div class='input'>
 <span class='co'># \dontrun{</span>
   <span class='co'># Predict from a fitted model</span>
   <span class='va'>f</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_2006_C</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
diff --git a/docs/dev/reference/mkinresplot.html b/docs/dev/reference/mkinresplot.html
index 4b2f6bea..30377f2c 100644
--- a/docs/dev/reference/mkinresplot.html
+++ b/docs/dev/reference/mkinresplot.html
@@ -75,7 +75,7 @@ argument show_residuals = TRUE." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -124,7 +124,7 @@ argument show_residuals = TRUE." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -242,7 +242,7 @@ lines of the mkinfit object, and <code><a href='plot.mkinfit.html'>plot_res</a><
 combining the plot of the fit and the residual plot.</p></div>
     <h2 class="hasAnchor" id="author"><a class="anchor" href="#author"></a>Author</h2>
 
-    <p>Johannes Ranke</p>
+    <p>Johannes Ranke and Katrin Lindenberger</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
     <pre class="examples"><div class='input'>
diff --git a/docs/dev/reference/mmkin-1.png b/docs/dev/reference/mmkin-1.png
index 7b7da90a..701a6d6a 100644
--- a/docs/dev/reference/mmkin-1.png
+++ b/docs/dev/reference/mmkin-1.png
diff --git a/docs/dev/reference/mmkin-2.png b/docs/dev/reference/mmkin-2.png
index ce2b2af4..5277b389 100644
--- a/docs/dev/reference/mmkin-2.png
+++ b/docs/dev/reference/mmkin-2.png
diff --git a/docs/dev/reference/mmkin-3.png b/docs/dev/reference/mmkin-3.png
index bb96f1b2..2659cd61 100644
--- a/docs/dev/reference/mmkin-3.png
+++ b/docs/dev/reference/mmkin-3.png
diff --git a/docs/dev/reference/mmkin-4.png b/docs/dev/reference/mmkin-4.png
index 351b21aa..ae16ee79 100644
--- a/docs/dev/reference/mmkin-4.png
+++ b/docs/dev/reference/mmkin-4.png
diff --git a/docs/dev/reference/mmkin-5.png b/docs/dev/reference/mmkin-5.png
index c1c05eea..2b9dc831 100644
--- a/docs/dev/reference/mmkin-5.png
+++ b/docs/dev/reference/mmkin-5.png
diff --git a/docs/dev/reference/mmkin.html b/docs/dev/reference/mmkin.html
index 651eb9a6..c385bbf6 100644
--- a/docs/dev/reference/mmkin.html
+++ b/docs/dev/reference/mmkin.html
@@ -75,7 +75,7 @@ datasets specified in its first two arguments." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.5</span>
       </span>
     </div>
 
@@ -124,7 +124,7 @@ datasets specified in its first two arguments." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -155,10 +155,13 @@ datasets specified in its first two arguments.</p>
     <pre class="usage"><span class='fu'>mmkin</span><span class='op'>(</span>
   models <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span><span class='op'>)</span>,
   <span class='va'>datasets</span>,
-  cores <span class='op'>=</span> <span class='fu'>parallel</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/r/parallel/detectCores.html'>detectCores</a></span><span class='op'>(</span><span class='op'>)</span>,
+  cores <span class='op'>=</span> <span class='kw'>if</span> <span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/Sys.info.html'>Sys.info</a></span><span class='op'>(</span><span class='op'>)</span><span class='op'>[</span><span class='st'>"sysname"</span><span class='op'>]</span> <span class='op'>==</span> <span class='st'>"Windows"</span><span class='op'>)</span> <span class='fl'>1</span> <span class='kw'>else</span> <span class='fu'>parallel</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/r/parallel/detectCores.html'>detectCores</a></span><span class='op'>(</span><span class='op'>)</span>,
   cluster <span class='op'>=</span> <span class='cn'>NULL</span>,
   <span class='va'>...</span>
-<span class='op'>)</span></pre>
+<span class='op'>)</span>
+
+<span class='co'># S3 method for mmkin</span>
+<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>...</span><span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -180,7 +183,8 @@ data for <code><a href='mkinfit.html'>mkinfit</a></code>.</p></td>
 is only used when the <code>cluster</code> argument is <code>NULL</code>. On Windows
 machines, cores &gt; 1 is not supported, you need to use the <code>cluster</code>
 argument to use multiple logical processors. Per default, all cores
-detected by <code><a href='https://rdrr.io/r/parallel/detectCores.html'>parallel::detectCores()</a></code> are used.</p></td>
+detected by <code><a href='https://rdrr.io/r/parallel/detectCores.html'>parallel::detectCores()</a></code> are used, except on Windows where
+the default is 1.</p></td>
     </tr>
     <tr>
       <th>cluster</th>
@@ -189,7 +193,11 @@ for parallel execution.</p></td>
     </tr>
     <tr>
       <th>...</th>
-      <td><p>Further arguments that will be passed to <code><a href='mkinfit.html'>mkinfit</a></code>.</p></td>
+      <td><p>Not used.</p></td>
+    </tr>
+    <tr>
+      <th>x</th>
+      <td><p>An mmkin object.</p></td>
     </tr>
     </table>
 
@@ -227,19 +235,19 @@ plotting.</p></div>
 
 <span class='va'>time_default</span>
 </div><div class='output co'>#&gt;    user  system elapsed 
-#&gt;   4.968   0.427   1.342 </div><div class='input'><span class='va'>time_1</span>
+#&gt;   4.771   0.576   1.803 </div><div class='input'><span class='va'>time_1</span>
 </div><div class='output co'>#&gt;    user  system elapsed 
-#&gt;   5.365   0.000   5.368 </div><div class='input'>
+#&gt;   5.779   0.000   5.781 </div><div class='input'>
 <span class='fu'><a href='endpoints.html'>endpoints</a></span><span class='op'>(</span><span class='va'>fits.0</span><span class='op'>[[</span><span class='st'>"SFO_lin"</span>, <span class='fl'>2</span><span class='op'>]</span><span class='op'>]</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; $ff
 #&gt;   parent_M1 parent_sink       M1_M2     M1_sink 
-#&gt;   0.7340478   0.2659522   0.7505687   0.2494313 
+#&gt;   0.7340481   0.2659519   0.7505683   0.2494317 
 #&gt; 
 #&gt; $distimes
 #&gt;             DT50       DT90
 #&gt; parent  0.877769   2.915885
-#&gt; M1      2.325746   7.725960
-#&gt; M2     33.720083 112.015691
+#&gt; M1      2.325744   7.725956
+#&gt; M2     33.720100 112.015749
 #&gt; </div><div class='input'>
 <span class='co'># plot.mkinfit handles rows or columns of mmkin result objects</span>
 <span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>fits.0</span><span class='op'>[</span><span class='fl'>1</span>, <span class='op'>]</span><span class='op'>)</span>
@@ -266,12 +274,10 @@ plotting.</p></div>
 #&gt;       dataset
 #&gt; model  A  B  C  D 
 #&gt;   SFO  OK OK OK OK
-#&gt;   FOMC C  OK OK OK
+#&gt;   FOMC OK OK OK OK
 #&gt;   DFOP OK OK OK OK
 #&gt; 
-#&gt; OK: No warnings
-#&gt; C: Optimisation did not converge:
-#&gt; false convergence (8)</div><div class='input'><span class='co'># We get false convergence for the FOMC fit to FOCUS_2006_A because this</span>
+#&gt; OK: No warnings</div><div class='input'><span class='co'># We get false convergence for the FOMC fit to FOCUS_2006_A because this</span>
 <span class='co'># dataset is really SFO, and the FOMC fit is overparameterised</span>
 <span class='fu'>stopCluster</span><span class='op'>(</span><span class='va'>cl</span><span class='op'>)</span>
 <span class='co'># }</span>
diff --git a/docs/dev/reference/nafta-1.png b/docs/dev/reference/nafta-1.png
index 4d823d77..4f0d7833 100644
--- a/docs/dev/reference/nafta-1.png
+++ b/docs/dev/reference/nafta-1.png
diff --git a/docs/dev/reference/nafta.html b/docs/dev/reference/nafta.html
index bbc8797d..6fb797a5 100644
--- a/docs/dev/reference/nafta.html
+++ b/docs/dev/reference/nafta.html
@@ -76,7 +76,7 @@ order of increasing model complexity, i.e. SFO, then IORE, and finally DFOP." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ order of increasing model complexity, i.e. SFO, then IORE, and finally DFOP." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/nlme-1.png b/docs/dev/reference/nlme-1.png
index 193722c7..365aaef0 100644
--- a/docs/dev/reference/nlme-1.png
+++ b/docs/dev/reference/nlme-1.png
diff --git a/docs/dev/reference/nlme-2.png b/docs/dev/reference/nlme-2.png
index c0fb6dcf..40841404 100644
--- a/docs/dev/reference/nlme-2.png
+++ b/docs/dev/reference/nlme-2.png
diff --git a/docs/dev/reference/nlme.html b/docs/dev/reference/nlme.html
index b3e88428..5c88b69d 100644
--- a/docs/dev/reference/nlme.html
+++ b/docs/dev/reference/nlme.html
@@ -75,7 +75,7 @@ datasets. They are used internally by the nlme.mmkin() method." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -124,7 +124,7 @@ datasets. They are used internally by the nlme.mmkin() method." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -155,8 +155,6 @@ datasets. They are used internally by the <code><a href='nlme.mmkin.html'>nlme.m
 
     <pre class="usage"><span class='fu'>nlme_function</span><span class='op'>(</span><span class='va'>object</span><span class='op'>)</span>
 
-<span class='fu'>mean_degparms</span><span class='op'>(</span><span class='va'>object</span>, random <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
-
 <span class='fu'>nlme_data</span><span class='op'>(</span><span class='va'>object</span><span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@@ -166,19 +164,11 @@ datasets. They are used internally by the <code><a href='nlme.mmkin.html'>nlme.m
       <th>object</th>
       <td><p>An mmkin row object containing several fits of the same model to different datasets</p></td>
     </tr>
-    <tr>
-      <th>random</th>
-      <td><p>Should a list with fixed and random effects be returned?</p></td>
-    </tr>
     </table>
 
     <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
 
     <p>A function that can be used with nlme</p>
-<p>If random is FALSE (default), a named vector containing mean values
-of the fitted degradation model parameters. If random is TRUE, a list with
-fixed and random effects, in the format required by the start argument of
-nlme for the case of a single grouping variable ds.</p>
 <p>A <code><a href='https://rdrr.io/pkg/nlme/man/groupedData.html'>groupedData</a></code> object</p>
     <h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
 
@@ -206,12 +196,12 @@ nlme for the case of a single grouping variable ds.</p>
 <span class='va'>ds</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>d1 <span class='op'>=</span> <span class='va'>d1</span>, d2 <span class='op'>=</span> <span class='va'>d2</span>, d3 <span class='op'>=</span> <span class='va'>d3</span><span class='op'>)</span>
 
 <span class='va'>f</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='va'>ds</span>, cores <span class='op'>=</span> <span class='fl'>1</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-<span class='va'>mean_dp</span> <span class='op'>&lt;-</span> <span class='fu'>mean_degparms</span><span class='op'>(</span><span class='va'>f</span><span class='op'>)</span>
+<span class='va'>mean_dp</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mean_degparms.html'>mean_degparms</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>)</span>
 <span class='va'>grouped_data</span> <span class='op'>&lt;-</span> <span class='fu'>nlme_data</span><span class='op'>(</span><span class='va'>f</span><span class='op'>)</span>
 <span class='va'>nlme_f</span> <span class='op'>&lt;-</span> <span class='fu'>nlme_function</span><span class='op'>(</span><span class='va'>f</span><span class='op'>)</span>
 <span class='co'># These assignments are necessary for these objects to be</span>
 <span class='co'># visible to nlme and augPred when evaluation is done by</span>
-<span class='co'># pkgdown to generated the html docs.</span>
+<span class='co'># pkgdown to generate the html docs.</span>
 <span class='fu'><a href='https://rdrr.io/r/base/assign.html'>assign</a></span><span class='op'>(</span><span class='st'>"nlme_f"</span>, <span class='va'>nlme_f</span>, <span class='fu'><a href='https://rdrr.io/r/base/environment.html'>globalenv</a></span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span>
 <span class='fu'><a href='https://rdrr.io/r/base/assign.html'>assign</a></span><span class='op'>(</span><span class='st'>"grouped_data"</span>, <span class='va'>grouped_data</span>, <span class='fu'><a href='https://rdrr.io/r/base/environment.html'>globalenv</a></span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span>
 
@@ -224,37 +214,37 @@ nlme for the case of a single grouping variable ds.</p>
 <span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>m_nlme</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; Nonlinear mixed-effects model fit by maximum likelihood
 #&gt;   Model: value ~ nlme_f(name, time, parent_0, log_k_parent_sink) 
-#&gt;  Data: grouped_data 
+#&gt;   Data: grouped_data 
 #&gt;        AIC      BIC    logLik
-#&gt;   252.7798 262.1358 -121.3899
+#&gt;   300.6824 310.2426 -145.3412
 #&gt; 
 #&gt; Random effects:
 #&gt;  Formula: list(parent_0 ~ 1, log_k_parent_sink ~ 1)
 #&gt;  Level: ds
 #&gt;  Structure: Diagonal
-#&gt;             parent_0 log_k_parent_sink Residual
-#&gt; StdDev: 0.0006768135         0.6800777 2.489397
+#&gt;         parent_0 log_k_parent_sink Residual
+#&gt; StdDev: 1.697361         0.6801209 3.666073
 #&gt; 
-#&gt; Fixed effects: parent_0 + log_k_parent_sink ~ 1 
-#&gt;                       Value Std.Error DF   t-value p-value
-#&gt; parent_0          101.74884 0.6456014 44 157.60321       0
-#&gt; log_k_parent_sink  -3.05575 0.4015811 44  -7.60929       0
+#&gt; Fixed effects:  parent_0 + log_k_parent_sink ~ 1 
+#&gt;                       Value Std.Error DF  t-value p-value
+#&gt; parent_0          100.99378 1.3890416 46 72.70753       0
+#&gt; log_k_parent_sink  -3.07521 0.4018589 46 -7.65246       0
 #&gt;  Correlation: 
 #&gt;                   prnt_0
-#&gt; log_k_parent_sink 0.026 
+#&gt; log_k_parent_sink 0.027 
 #&gt; 
 #&gt; Standardized Within-Group Residuals:
 #&gt;        Min         Q1        Med         Q3        Max 
-#&gt; -2.1317488 -0.6878121  0.0828385  0.8592270  2.9529864 
+#&gt; -1.9942823 -0.5622565  0.1791579  0.7165038  2.0704781 
 #&gt; 
-#&gt; Number of Observations: 48
+#&gt; Number of Observations: 50
 #&gt; Number of Groups: 3 </div><div class='input'><span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/pkg/nlme/man/augPred.html'>augPred</a></span><span class='op'>(</span><span class='va'>m_nlme</span>, level <span class='op'>=</span> <span class='fl'>0</span><span class='op'>:</span><span class='fl'>1</span><span class='op'>)</span>, layout <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>3</span>, <span class='fl'>1</span><span class='op'>)</span><span class='op'>)</span>
 </div><div class='img'><img src='nlme-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='co'># augPred does not work on fits with more than one state</span>
 <span class='co'># variable</span>
 <span class='co'>#</span>
 <span class='co'># The procedure is greatly simplified by the nlme.mmkin function</span>
 <span class='va'>f_nlme</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Iteration 1, LME step: nlminb() did not converge (code = 1). Do increase 'msMaxIter'!</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_nlme</span><span class='op'>)</span>
+<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_nlme</span><span class='op'>)</span>
 </div><div class='img'><img src='nlme-2.png' alt='' width='700' height='433' /></div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/dev/reference/nlme.mmkin-1.png b/docs/dev/reference/nlme.mmkin-1.png
index 25bebeca..95adfafb 100644
--- a/docs/dev/reference/nlme.mmkin-1.png
+++ b/docs/dev/reference/nlme.mmkin-1.png
diff --git a/docs/dev/reference/nlme.mmkin-2.png b/docs/dev/reference/nlme.mmkin-2.png
index c314c149..53b6fc76 100644
--- a/docs/dev/reference/nlme.mmkin-2.png
+++ b/docs/dev/reference/nlme.mmkin-2.png
diff --git a/docs/dev/reference/nlme.mmkin-3.png b/docs/dev/reference/nlme.mmkin-3.png
index a40b7cad..8df1e73b 100644
--- a/docs/dev/reference/nlme.mmkin-3.png
+++ b/docs/dev/reference/nlme.mmkin-3.png
diff --git a/docs/dev/reference/nlme.mmkin.html b/docs/dev/reference/nlme.mmkin.html
index a4d7070a..866091ca 100644
--- a/docs/dev/reference/nlme.mmkin.html
+++ b/docs/dev/reference/nlme.mmkin.html
@@ -74,7 +74,7 @@ have been obtained by fitting the same model to a list of datasets." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -123,7 +123,7 @@ have been obtained by fitting the same model to a list of datasets." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -155,11 +155,11 @@ have been obtained by fitting the same model to a list of datasets.</p>
 <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span>
   <span class='va'>model</span>,
   data <span class='op'>=</span> <span class='st'>"auto"</span>,
-  fixed <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>as.list</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='fu'><a href='nlme_function.html'>mean_degparms</a></span><span class='op'>(</span><span class='va'>model</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span>, <span class='kw'>function</span><span class='op'>(</span><span class='va'>el</span><span class='op'>)</span> <span class='fu'><a href='https://rdrr.io/r/base/eval.html'>eval</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/parse.html'>parse</a></span><span class='op'>(</span>text <span class='op'>=</span>
+  fixed <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>as.list</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='fu'><a href='mean_degparms.html'>mean_degparms</a></span><span class='op'>(</span><span class='va'>model</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span>, <span class='kw'>function</span><span class='op'>(</span><span class='va'>el</span><span class='op'>)</span> <span class='fu'><a href='https://rdrr.io/r/base/eval.html'>eval</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/parse.html'>parse</a></span><span class='op'>(</span>text <span class='op'>=</span>
     <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span><span class='op'>(</span><span class='va'>el</span>, <span class='fl'>1</span>, sep <span class='op'>=</span> <span class='st'>"~"</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span>,
-  random <span class='op'>=</span> <span class='fu'>pdDiag</span><span class='op'>(</span><span class='va'>fixed</span><span class='op'>)</span>,
+  random <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/pdDiag.html'>pdDiag</a></span><span class='op'>(</span><span class='va'>fixed</span><span class='op'>)</span>,
   <span class='va'>groups</span>,
-  start <span class='op'>=</span> <span class='fu'><a href='nlme_function.html'>mean_degparms</a></span><span class='op'>(</span><span class='va'>model</span>, random <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
+  start <span class='op'>=</span> <span class='fu'><a href='mean_degparms.html'>mean_degparms</a></span><span class='op'>(</span><span class='va'>model</span>, random <span class='op'>=</span> <span class='cn'>TRUE</span>, test_log_parms <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
   correlation <span class='op'>=</span> <span class='cn'>NULL</span>,
   weights <span class='op'>=</span> <span class='cn'>NULL</span>,
   <span class='va'>subset</span>,
@@ -194,10 +194,9 @@ mmkin model are used as fixed parameters</p></td>
     </tr>
     <tr>
       <th>random</th>
-      <td><p>If not specified, correlated random effects are set up
-for all optimised degradation model parameters using the log-Cholesky
-parameterization <a href='https://rdrr.io/pkg/nlme/man/pdLogChol.html'>nlme::pdLogChol</a> that is also the default of
-the generic <a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a> method.</p></td>
+      <td><p>If not specified, no correlations between random effects are
+set up for the optimised degradation model parameters. This is
+achieved by using the <a href='https://rdrr.io/pkg/nlme/man/pdDiag.html'>nlme::pdDiag</a> method.</p></td>
     </tr>
     <tr>
       <th>groups</th>
@@ -262,6 +261,12 @@ parameters taken from the mmkin object are used</p></td>
 
     <p>Upon success, a fitted 'nlme.mmkin' object, which is an nlme object
 with additional elements. It also inherits from 'mixed.mmkin'.</p>
+    <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
+
+    <p>Note that the convergence of the nlme algorithms depends on the quality
+of the data. In degradation kinetics, we often only have few datasets
+(e.g. data for few soils) and complicated degradation models, which may
+make it impossible to obtain convergence with nlme.</p>
     <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>Note</h2>
 
     <p>As the object inherits from <a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme::nlme</a>, there is a wealth of
@@ -284,7 +289,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
   <span class='fu'><a href='https://rdrr.io/r/stats/anova.html'>anova</a></span><span class='op'>(</span><span class='va'>f_nlme_sfo</span>, <span class='va'>f_nlme_dfop</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;             Model df      AIC      BIC    logLik   Test  L.Ratio p-value
 #&gt; f_nlme_sfo      1  5 625.0539 637.5529 -307.5269                        
-#&gt; f_nlme_dfop     2  9 495.1270 517.6253 -238.5635 1 vs 2 137.9268  &lt;.0001</div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>f_nlme_dfop</span><span class='op'>)</span>
+#&gt; f_nlme_dfop     2  9 495.1270 517.6253 -238.5635 1 vs 2 137.9269  &lt;.0001</div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>f_nlme_dfop</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; Kinetic nonlinear mixed-effects model fit by maximum likelihood
 #&gt; 
 #&gt; Structural model:
@@ -312,7 +317,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 </div><div class='img'><img src='nlme.mmkin-1.png' alt='' width='700' height='433' /></div><div class='input'>  <span class='fu'><a href='endpoints.html'>endpoints</a></span><span class='op'>(</span><span class='va'>f_nlme_dfop</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; $distimes
 #&gt;            DT50     DT90 DT50back  DT50_k1  DT50_k2
-#&gt; parent 10.79857 100.7937 30.34192 4.193937 43.85442
+#&gt; parent 10.79857 100.7937 30.34193 4.193938 43.85443
 #&gt; </div><div class='input'>
   <span class='va'>ds_2</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span><span class='op'>(</span><span class='va'>experimental_data_for_UBA_2019</span><span class='op'>[</span><span class='fl'>6</span><span class='op'>:</span><span class='fl'>10</span><span class='op'>]</span>,
    <span class='kw'>function</span><span class='op'>(</span><span class='va'>x</span><span class='op'>)</span> <span class='va'>x</span><span class='op'>$</span><span class='va'>data</span><span class='op'>[</span><span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"name"</span>, <span class='st'>"time"</span>, <span class='st'>"value"</span><span class='op'>)</span><span class='op'>]</span><span class='op'>)</span>
@@ -335,16 +340,17 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
   <span class='co'># f_nlme_sfo_sfo_ff &lt;- nlme(f_2["SFO-SFO-ff", ])</span>
   <span class='co'>#plot(f_nlme_sfo_sfo_ff)</span>
 
-  <span class='co'># With the log-Cholesky parameterization, this converges in 11</span>
-  <span class='co'># iterations and around 100 seconds, but without tweaking control</span>
-  <span class='co'># parameters (with pdDiag, increasing the tolerance and pnlsMaxIter was</span>
-  <span class='co'># necessary)</span>
-  <span class='va'>f_nlme_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_2</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in nlme.formula(model = value ~ (mkin::get_deg_func())(name, time,     parent_0, log_k_A1, f_parent_qlogis, log_k1, log_k2, g_qlogis),     data = structure(list(ds = structure(c(1L, 1L, 1L, 1L, 1L,     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,     1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,     2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,     3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,     3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,     4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,     4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,     5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,     5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L    ), .Label = c("1", "2", "3", "4", "5"), class = c("ordered",     "factor")), name = c("parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "A1", "A1", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1", "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1", "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1", "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1"), time = c(0, 0, 3, 3, 6, 6, 10, 10, 20, 20, 34, 34,     55, 55, 90, 90, 112, 112, 132, 132, 3, 3, 6, 6, 10, 10, 20,     20, 34, 34, 55, 55, 90, 90, 112, 112, 132, 132, 0, 0, 3,     3, 7, 7, 14, 14, 30, 30, 60, 60, 90, 90, 120, 120, 180, 180,     3, 3, 7, 7, 14, 14, 30, 30, 60, 60, 90, 90, 120, 120, 180,     180, 0, 0, 1, 1, 3, 3, 8, 8, 14, 14, 27, 27, 48, 48, 70,     70, 1, 1, 3, 3, 8, 8, 14, 14, 27, 27, 48, 48, 70, 70, 0,     0, 1, 1, 3, 3, 8, 8, 14, 14, 27, 27, 48, 48, 70, 70, 91,     91, 120, 120, 1, 1, 3, 3, 8, 8, 14, 14, 27, 27, 48, 48, 70,     70, 91, 91, 120, 120, 0, 0, 8, 8, 14, 14, 21, 21, 41, 41,     63, 63, 91, 91, 120, 120, 8, 8, 14, 14, 21, 21, 41, 41, 63,     63, 91, 91, 120, 120), value = c(97.2, 96.4, 71.1, 69.2,     58.1, 56.6, 44.4, 43.4, 33.3, 29.2, 17.6, 18, 10.5, 9.3,     4.5, 4.7, 3, 3.4, 2.3, 2.7, 4.3, 4.6, 7, 7.2, 8.2, 8, 11,     13.7, 11.5, 12.7, 14.9, 14.5, 12.1, 12.3, 9.9, 10.2, 8.8,     7.8, 93.6, 92.3, 87, 82.2, 74, 73.9, 64.2, 69.5, 54, 54.6,     41.1, 38.4, 32.5, 35.5, 28.1, 29, 26.5, 27.6, 3.9, 3.1, 6.9,     6.6, 10.4, 8.3, 14.4, 13.7, 22.1, 22.3, 27.5, 25.4, 28, 26.6,     25.8, 25.3, 91.9, 90.8, 64.9, 66.2, 43.5, 44.1, 18.3, 18.1,     10.2, 10.8, 4.9, 3.3, 1.6, 1.5, 1.1, 0.9, 9.6, 7.7, 15, 15.1,     21.2, 21.1, 19.7, 18.9, 17.5, 15.9, 9.5, 9.8, 6.2, 6.1, 99.8,     98.3, 77.1, 77.2, 59, 58.1, 27.4, 29.2, 19.1, 29.6, 10.1,     18.2, 4.5, 9.1, 2.3, 2.9, 2, 1.8, 2, 2.2, 4.2, 3.9, 7.4,     7.9, 14.5, 13.7, 14.2, 12.2, 13.7, 13.2, 13.6, 15.4, 10.4,     11.6, 10, 9.5, 9.1, 9, 96.1, 94.3, 73.9, 73.9, 69.4, 73.1,     65.6, 65.3, 55.9, 54.4, 47, 49.3, 44.7, 46.7, 42.1, 41.3,     3.3, 3.4, 3.9, 2.9, 6.4, 7.2, 9.1, 8.5, 11.7, 12, 13.3, 13.2,     14.3, 12.1)), row.names = c(NA, -170L), class = c("nfnGroupedData",     "nfGroupedData", "groupedData", "data.frame"), formula = value ~         time | ds, FUN = function (x)     max(x, na.rm = TRUE), order.groups = FALSE), start = list(        fixed = c(parent_0 = 93.8101519326534, log_k_A1 = -9.76474551635931,         f_parent_qlogis = -0.971114801595408, log_k1 = -1.87993711571859,         log_k2 = -4.27081421366622, g_qlogis = 0.135644115277507        ), random = list(ds = structure(c(2.56569977430371, -3.49441920289139,         -3.32614443321494, 4.35347873814922, -0.0986148763466161,         4.65850590018027, 1.8618544764481, 6.12693257601545,         4.91792724701579, -17.5652201996596, -0.466203822618637,         0.746660653597927, 0.282193987271096, -0.42053488943072,         -0.142115928819667, 0.369240076779088, -1.38985563501659,         1.02592753494098, 0.73090914081534, -0.736221117518819,         0.768170629350299, -1.89347658079869, 1.72168783460352,         0.844607177798114, -1.44098906095325, -0.377731855445672,         0.168180098477565, 0.469683412912104, 0.500717664434525,         -0.760849320378522), .Dim = 5:6, .Dimnames = list(c("1",         "2", "3", "4", "5"), c("parent_0", "log_k_A1", "f_parent_qlogis",         "log_k1", "log_k2", "g_qlogis"))))), fixed = list(parent_0 ~         1, log_k_A1 ~ 1, f_parent_qlogis ~ 1, log_k1 ~ 1, log_k2 ~         1, g_qlogis ~ 1), random = structure(numeric(0), class = c("pdDiag",     "pdMat"), formula = structure(list(parent_0 ~ 1, log_k_A1 ~         1, f_parent_qlogis ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~         1), class = "listForm"), Dimnames = list(NULL, NULL))): maximum number of iterations (maxIter = 50) reached without convergence</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 49.95 16.5 44.08</span></div><div class='input'>
+  <span class='co'># For the following, we need to increase pnlsMaxIter and the tolerance</span>
+  <span class='co'># to get convergence</span>
+  <span class='va'>f_nlme_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_2</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span>,
+    control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>pnlsMaxIter <span class='op'>=</span> <span class='fl'>120</span>, tolerance <span class='op'>=</span> <span class='fl'>5e-4</span><span class='op'>)</span><span class='op'>)</span>
+
   <span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_nlme_dfop_sfo</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in plot(f_nlme_dfop_sfo): object 'f_nlme_dfop_sfo' not found</span></div><div class='input'>
+</div><div class='img'><img src='nlme.mmkin-3.png' alt='' width='700' height='433' /></div><div class='input'>
   <span class='fu'><a href='https://rdrr.io/r/stats/anova.html'>anova</a></span><span class='op'>(</span><span class='va'>f_nlme_dfop_sfo</span>, <span class='va'>f_nlme_sfo_sfo</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in anova(f_nlme_dfop_sfo, f_nlme_sfo_sfo): object 'f_nlme_dfop_sfo' not found</span></div><div class='input'>
+</div><div class='output co'>#&gt;                 Model df       AIC       BIC    logLik   Test  L.Ratio p-value
+#&gt; f_nlme_dfop_sfo     1 13  843.8547  884.6201 -408.9274                        
+#&gt; f_nlme_sfo_sfo      2  9 1085.1821 1113.4043 -533.5910 1 vs 2 249.3274  &lt;.0001</div><div class='input'>
   <span class='fu'><a href='endpoints.html'>endpoints</a></span><span class='op'>(</span><span class='va'>f_nlme_sfo_sfo</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; $ff
 #&gt; parent_sink   parent_A1     A1_sink 
@@ -355,7 +361,15 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 #&gt; parent 19.13518  63.5657
 #&gt; A1     66.02155 219.3189
 #&gt; </div><div class='input'>  <span class='fu'><a href='endpoints.html'>endpoints</a></span><span class='op'>(</span><span class='va'>f_nlme_dfop_sfo</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in endpoints(f_nlme_dfop_sfo): object 'f_nlme_dfop_sfo' not found</span></div><div class='input'>
+</div><div class='output co'>#&gt; $ff
+#&gt;   parent_A1 parent_sink 
+#&gt;   0.2768574   0.7231426 
+#&gt; 
+#&gt; $distimes
+#&gt;             DT50     DT90 DT50back  DT50_k1  DT50_k2
+#&gt; parent  11.07091 104.6320 31.49737 4.462383 46.20825
+#&gt; A1     162.30519 539.1662       NA       NA       NA
+#&gt; </div><div class='input'>
   <span class='kw'>if</span> <span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span><span class='op'>(</span><span class='fu'>findFunction</span><span class='op'>(</span><span class='st'>"varConstProp"</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>&gt;</span> <span class='fl'>0</span><span class='op'>)</span> <span class='op'>{</span> <span class='co'># tc error model for nlme available</span>
     <span class='co'># Attempts to fit metabolite kinetics with the tc error model are possible,</span>
     <span class='co'># but need tweeking of control values and sometimes do not converge</span>
@@ -381,7 +395,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 #&gt; Fixed effects:
 #&gt;  list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1) 
 #&gt; parent_0   log_k1   log_k2 g_qlogis 
-#&gt; 94.04775 -1.82340 -4.16715  0.05685 
+#&gt; 94.04774 -1.82340 -4.16716  0.05686 
 #&gt; 
 #&gt; Random effects:
 #&gt;  Formula: list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1)
@@ -395,10 +409,8 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 #&gt;  Formula: ~fitted(.) 
 #&gt;  Parameter estimates:
 #&gt;      const       prop 
-#&gt; 2.23224114 0.01262341 </div><div class='input'>
-  <span class='va'>f_2_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='st'>"SFO-SFO"</span> <span class='op'>=</span> <span class='va'>m_sfo_sfo</span>,
-   <span class='st'>"DFOP-SFO"</span> <span class='op'>=</span> <span class='va'>m_dfop_sfo</span><span class='op'>)</span>,
-    <span class='va'>ds_2</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"obs"</span><span class='op'>)</span>
+#&gt; 2.23223147 0.01262395 </div><div class='input'>
+  <span class='va'>f_2_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/update.html'>update</a></span><span class='op'>(</span><span class='va'>f_2</span>, error_model <span class='op'>=</span> <span class='st'>"obs"</span><span class='op'>)</span>
   <span class='va'>f_nlme_sfo_sfo_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_2_obs</span><span class='op'>[</span><span class='st'>"SFO-SFO"</span>, <span class='op'>]</span><span class='op'>)</span>
   <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>f_nlme_sfo_sfo_obs</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; Kinetic nonlinear mixed-effects model fit by maximum likelihood
@@ -429,18 +441,21 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 #&gt;  Formula: ~1 | name 
 #&gt;  Parameter estimates:
 #&gt;    parent        A1 
-#&gt; 1.0000000 0.2050003 </div><div class='input'>  <span class='va'>f_nlme_dfop_sfo_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_2_obs</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in nlme.formula(model = value ~ (mkin::get_deg_func())(name, time,     parent_0, log_k_A1, f_parent_qlogis, log_k1, log_k2, g_qlogis),     data = structure(list(ds = structure(c(1L, 1L, 1L, 1L, 1L,     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,     1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,     2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,     3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,     3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,     4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,     4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,     5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,     5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L    ), .Label = c("1", "2", "3", "4", "5"), class = c("ordered",     "factor")), name = c("parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "A1", "A1", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1", "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1", "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1", "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "parent", "parent",     "parent", "parent", "parent", "parent", "A1", "A1", "A1",     "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1",     "A1"), time = c(0, 0, 3, 3, 6, 6, 10, 10, 20, 20, 34, 34,     55, 55, 90, 90, 112, 112, 132, 132, 3, 3, 6, 6, 10, 10, 20,     20, 34, 34, 55, 55, 90, 90, 112, 112, 132, 132, 0, 0, 3,     3, 7, 7, 14, 14, 30, 30, 60, 60, 90, 90, 120, 120, 180, 180,     3, 3, 7, 7, 14, 14, 30, 30, 60, 60, 90, 90, 120, 120, 180,     180, 0, 0, 1, 1, 3, 3, 8, 8, 14, 14, 27, 27, 48, 48, 70,     70, 1, 1, 3, 3, 8, 8, 14, 14, 27, 27, 48, 48, 70, 70, 0,     0, 1, 1, 3, 3, 8, 8, 14, 14, 27, 27, 48, 48, 70, 70, 91,     91, 120, 120, 1, 1, 3, 3, 8, 8, 14, 14, 27, 27, 48, 48, 70,     70, 91, 91, 120, 120, 0, 0, 8, 8, 14, 14, 21, 21, 41, 41,     63, 63, 91, 91, 120, 120, 8, 8, 14, 14, 21, 21, 41, 41, 63,     63, 91, 91, 120, 120), value = c(97.2, 96.4, 71.1, 69.2,     58.1, 56.6, 44.4, 43.4, 33.3, 29.2, 17.6, 18, 10.5, 9.3,     4.5, 4.7, 3, 3.4, 2.3, 2.7, 4.3, 4.6, 7, 7.2, 8.2, 8, 11,     13.7, 11.5, 12.7, 14.9, 14.5, 12.1, 12.3, 9.9, 10.2, 8.8,     7.8, 93.6, 92.3, 87, 82.2, 74, 73.9, 64.2, 69.5, 54, 54.6,     41.1, 38.4, 32.5, 35.5, 28.1, 29, 26.5, 27.6, 3.9, 3.1, 6.9,     6.6, 10.4, 8.3, 14.4, 13.7, 22.1, 22.3, 27.5, 25.4, 28, 26.6,     25.8, 25.3, 91.9, 90.8, 64.9, 66.2, 43.5, 44.1, 18.3, 18.1,     10.2, 10.8, 4.9, 3.3, 1.6, 1.5, 1.1, 0.9, 9.6, 7.7, 15, 15.1,     21.2, 21.1, 19.7, 18.9, 17.5, 15.9, 9.5, 9.8, 6.2, 6.1, 99.8,     98.3, 77.1, 77.2, 59, 58.1, 27.4, 29.2, 19.1, 29.6, 10.1,     18.2, 4.5, 9.1, 2.3, 2.9, 2, 1.8, 2, 2.2, 4.2, 3.9, 7.4,     7.9, 14.5, 13.7, 14.2, 12.2, 13.7, 13.2, 13.6, 15.4, 10.4,     11.6, 10, 9.5, 9.1, 9, 96.1, 94.3, 73.9, 73.9, 69.4, 73.1,     65.6, 65.3, 55.9, 54.4, 47, 49.3, 44.7, 46.7, 42.1, 41.3,     3.3, 3.4, 3.9, 2.9, 6.4, 7.2, 9.1, 8.5, 11.7, 12, 13.3, 13.2,     14.3, 12.1)), row.names = c(NA, -170L), class = c("nfnGroupedData",     "nfGroupedData", "groupedData", "data.frame"), formula = value ~         time | ds, FUN = function (x)     max(x, na.rm = TRUE), order.groups = FALSE), start = list(        fixed = c(parent_0 = 93.4272167134207, log_k_A1 = -9.71590717106959,         f_parent_qlogis = -0.953712099744438, log_k1 = -1.95256957646888,         log_k2 = -4.42919226610318, g_qlogis = 0.193023137298073        ), random = list(ds = structure(c(2.85557330683041, -3.87630303729395,         -2.78062140212751, 4.82042042600536, -1.01906929341432,         4.613992019697, 2.05871276943309, 6.0766404049189, 4.86471337131288,         -17.6140585653619, -0.480721175257541, 0.773079218835614,         0.260464433006093, -0.440615012802434, -0.112207463781733,         0.445812953745225, -1.49588630006094, 1.13602040717272,         0.801850880762046, -0.887797941619048, 0.936480292463262,         -2.43093808171905, 1.91256225793793, 0.984827519864443,         -1.40293198854659, -0.455176326336681, 0.376355651864385,         0.343919720700401, 0.46329187713133, -0.728390923359434        ), .Dim = 5:6, .Dimnames = list(c("1", "2", "3", "4",         "5"), c("parent_0", "log_k_A1", "f_parent_qlogis", "log_k1",         "log_k2", "g_qlogis"))))), fixed = list(parent_0 ~ 1,         log_k_A1 ~ 1, f_parent_qlogis ~ 1, log_k1 ~ 1, log_k2 ~             1, g_qlogis ~ 1), random = structure(numeric(0), class = c("pdDiag",     "pdMat"), formula = structure(list(parent_0 ~ 1, log_k_A1 ~         1, f_parent_qlogis ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~         1), class = "listForm"), Dimnames = list(NULL, NULL)),     weights = structure(numeric(0), formula = ~1 | name, class = c("varIdent",     "varFunc"))): maximum number of iterations (maxIter = 50) reached without convergence</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 59.38 16.5 53.5</span></div><div class='input'>
-  <span class='va'>f_2_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='st'>"SFO-SFO"</span> <span class='op'>=</span> <span class='va'>m_sfo_sfo</span>,
-   <span class='st'>"DFOP-SFO"</span> <span class='op'>=</span> <span class='va'>m_dfop_sfo</span><span class='op'>)</span>,
-    <span class='va'>ds_2</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
-  <span class='co'># f_nlme_sfo_sfo_tc &lt;- nlme(f_2_tc["SFO-SFO", ]) # stops with error message</span>
-  <span class='va'>f_nlme_dfop_sfo_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_2_tc</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='warning'>Warning: longer object length is not a multiple of shorter object length</span></div><div class='output co'>#&gt; <span class='error'>Error in X[, fmap[[nm]]] &lt;- gradnm: number of items to replace is not a multiple of replacement length</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 6.363 2.688 5.469</span></div><div class='input'>  <span class='co'># We get warnings about false convergence in the LME step in several iterations</span>
-  <span class='co'># but as the last such warning occurs in iteration 25 and we have 28 iterations</span>
-  <span class='co'># we can ignore these</span>
-  <span class='fu'><a href='https://rdrr.io/r/stats/anova.html'>anova</a></span><span class='op'>(</span><span class='va'>f_nlme_dfop_sfo</span>, <span class='va'>f_nlme_dfop_sfo_obs</span>, <span class='va'>f_nlme_dfop_sfo_tc</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in anova(f_nlme_dfop_sfo, f_nlme_dfop_sfo_obs, f_nlme_dfop_sfo_tc): object 'f_nlme_dfop_sfo' not found</span></div><div class='input'>
+#&gt; 1.0000000 0.2049995 </div><div class='input'>  <span class='va'>f_nlme_dfop_sfo_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_2_obs</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span>,
+    control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>pnlsMaxIter <span class='op'>=</span> <span class='fl'>120</span>, tolerance <span class='op'>=</span> <span class='fl'>5e-4</span><span class='op'>)</span><span class='op'>)</span>
+
+  <span class='va'>f_2_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/update.html'>update</a></span><span class='op'>(</span><span class='va'>f_2</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
+  <span class='co'># f_nlme_sfo_sfo_tc &lt;- nlme(f_2_tc["SFO-SFO", ]) # No convergence with 50 iterations</span>
+  <span class='co'># f_nlme_dfop_sfo_tc &lt;- nlme(f_2_tc["DFOP-SFO", ],</span>
+  <span class='co'>#  control = list(pnlsMaxIter = 120, tolerance = 5e-4)) # Error in X[, fmap[[nm]]] &lt;- gradnm</span>
+
+  <span class='fu'><a href='https://rdrr.io/r/stats/anova.html'>anova</a></span><span class='op'>(</span><span class='va'>f_nlme_dfop_sfo</span>, <span class='va'>f_nlme_dfop_sfo_obs</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;                     Model df      AIC      BIC    logLik   Test  L.Ratio
+#&gt; f_nlme_dfop_sfo         1 13 843.8547 884.6201 -408.9274                
+#&gt; f_nlme_dfop_sfo_obs     2 14 817.5338 861.4350 -394.7669 1 vs 2 28.32091
+#&gt;                     p-value
+#&gt; f_nlme_dfop_sfo            
+#&gt; f_nlme_dfop_sfo_obs  &lt;.0001</div><div class='input'>
 <span class='co'># }</span>
 </div></pre>
   </div>
diff --git a/docs/dev/reference/nlmixr.mmkin-1.png b/docs/dev/reference/nlmixr.mmkin-1.png
new file mode 100644
index 00000000..e7e1ded0
--- /dev/null
+++ b/docs/dev/reference/nlmixr.mmkin-1.png
diff --git a/docs/dev/reference/nlmixr.mmkin-2.png b/docs/dev/reference/nlmixr.mmkin-2.png
new file mode 100644
index 00000000..37432f76
--- /dev/null
+++ b/docs/dev/reference/nlmixr.mmkin-2.png
diff --git a/docs/dev/reference/nlmixr.mmkin.html b/docs/dev/reference/nlmixr.mmkin.html
new file mode 100644
index 00000000..55e256a0
--- /dev/null
+++ b/docs/dev/reference/nlmixr.mmkin.html
@@ -0,0 +1,12556 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+  <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Fit nonlinear mixed models using nlmixr — nlmixr.mmkin • mkin</title>
+
+
+<!-- jquery -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
+<!-- Bootstrap -->
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
+
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
+
+<!-- bootstrap-toc -->
+<link rel="stylesheet" href="../bootstrap-toc.css">
+<script src="../bootstrap-toc.js"></script>
+
+<!-- Font Awesome icons -->
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
+
+<!-- clipboard.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
+
+<!-- headroom.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
+
+<!-- pkgdown -->
+<link href="../pkgdown.css" rel="stylesheet">
+<script src="../pkgdown.js"></script>
+
+
+
+
+<meta property="og:title" content="Fit nonlinear mixed models using nlmixr — nlmixr.mmkin" />
+<meta property="og:description" content="This function uses nlmixr::nlmixr() as a backend for fitting nonlinear mixed
+effects models created from mmkin row objects using the Stochastic Approximation
+Expectation Maximisation algorithm (SAEM) or First Order Conditional
+Estimation with Interaction (FOCEI)." />
+
+
+<meta name="robots" content="noindex">
+
+<!-- mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
+
+<!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+
+
+
+  </head>
+
+  <body data-spy="scroll" data-target="#toc">
+    <div class="container template-reference-topic">
+      <header>
+      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../index.html">mkin</a>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+        <li>
+  <a href="../reference/index.html">Functions and data</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+    <li>
+      <a href="../articles/mkin.html">Introduction to mkin</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_D.html">Example evaluation of FOCUS Example Dataset D</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
+    </li>
+    <li>
+      <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
+    </li>
+  </ul>
+</li>
+<li>
+  <a href="../news/index.html">News</a>
+</li>
+      </ul>
+      <ul class="nav navbar-nav navbar-right">
+        <li>
+  <a href="https://github.com/jranke/mkin/">
+    <span class="fab fa-github fa-lg"></span>
+     
+  </a>
+</li>
+      </ul>
+      
+    </div><!--/.nav-collapse -->
+  </div><!--/.container -->
+</div><!--/.navbar -->
+
+      
+
+      </header>
+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Fit nonlinear mixed models using nlmixr</h1>
+    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/nlmixr.R'><code>R/nlmixr.R</code></a></small>
+    <div class="hidden name"><code>nlmixr.mmkin.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    <p>This function uses <code><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr::nlmixr()</a></code> as a backend for fitting nonlinear mixed
+effects models created from <a href='mmkin.html'>mmkin</a> row objects using the Stochastic Approximation
+Expectation Maximisation algorithm (SAEM) or First Order Conditional
+Estimation with Interaction (FOCEI).</p>
+    </div>
+
+    <pre class="usage"><span class='co'># S3 method for mmkin</span>
+<span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span>
+  <span class='va'>object</span>,
+  data <span class='op'>=</span> <span class='cn'>NULL</span>,
+  est <span class='op'>=</span> <span class='cn'>NULL</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='op'>)</span>,
+  table <span class='op'>=</span> <span class='fu'>tableControl</span><span class='op'>(</span><span class='op'>)</span>,
+  error_model <span class='op'>=</span> <span class='va'>object</span><span class='op'>[[</span><span class='fl'>1</span><span class='op'>]</span><span class='op'>]</span><span class='op'>$</span><span class='va'>err_mod</span>,
+  test_log_parms <span class='op'>=</span> <span class='cn'>TRUE</span>,
+  conf.level <span class='op'>=</span> <span class='fl'>0.6</span>,
+  degparms_start <span class='op'>=</span> <span class='st'>"auto"</span>,
+  eta_start <span class='op'>=</span> <span class='st'>"auto"</span>,
+  <span class='va'>...</span>,
+  save <span class='op'>=</span> <span class='cn'>NULL</span>,
+  envir <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/sys.parent.html'>parent.frame</a></span><span class='op'>(</span><span class='op'>)</span>
+<span class='op'>)</span>
+
+<span class='co'># S3 method for nlmixr.mmkin</span>
+<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>x</span>, digits <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Extremes.html'>max</a></span><span class='op'>(</span><span class='fl'>3</span>, <span class='fu'><a href='https://rdrr.io/r/base/options.html'>getOption</a></span><span class='op'>(</span><span class='st'>"digits"</span><span class='op'>)</span> <span class='op'>-</span> <span class='fl'>3</span><span class='op'>)</span>, <span class='va'>...</span><span class='op'>)</span>
+
+<span class='fu'>nlmixr_model</span><span class='op'>(</span>
+  <span class='va'>object</span>,
+  est <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"saem"</span>, <span class='st'>"focei"</span><span class='op'>)</span>,
+  degparms_start <span class='op'>=</span> <span class='st'>"auto"</span>,
+  eta_start <span class='op'>=</span> <span class='st'>"auto"</span>,
+  test_log_parms <span class='op'>=</span> <span class='cn'>TRUE</span>,
+  conf.level <span class='op'>=</span> <span class='fl'>0.6</span>,
+  error_model <span class='op'>=</span> <span class='va'>object</span><span class='op'>[[</span><span class='fl'>1</span><span class='op'>]</span><span class='op'>]</span><span class='op'>$</span><span class='va'>err_mod</span>,
+  add_attributes <span class='op'>=</span> <span class='cn'>FALSE</span>
+<span class='op'>)</span>
+
+<span class='fu'>nlmixr_data</span><span class='op'>(</span><span class='va'>object</span>, <span class='va'>...</span><span class='op'>)</span></pre>
+
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>object</th>
+      <td><p>An <a href='mmkin.html'>mmkin</a> row object containing several fits of the same
+<a href='mkinmod.html'>mkinmod</a> model to different datasets</p></td>
+    </tr>
+    <tr>
+      <th>data</th>
+      <td><p>Not used, as the data are extracted from the mmkin row object</p></td>
+    </tr>
+    <tr>
+      <th>est</th>
+      <td><p>Estimation method passed to <a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr::nlmixr</a></p></td>
+    </tr>
+    <tr>
+      <th>control</th>
+      <td><p>Passed to <a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr::nlmixr</a></p></td>
+    </tr>
+    <tr>
+      <th>table</th>
+      <td><p>Passed to <a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr::nlmixr</a></p></td>
+    </tr>
+    <tr>
+      <th>error_model</th>
+      <td><p>Optional argument to override the error model which is
+being set based on the error model used in the mmkin row object.</p></td>
+    </tr>
+    <tr>
+      <th>test_log_parms</th>
+      <td><p>If TRUE, an attempt is made to use more robust starting
+values for population parameters fitted as log parameters in mkin (like
+rate constants) by only considering rate constants that pass the t-test
+when calculating mean degradation parameters using <a href='mean_degparms.html'>mean_degparms</a>.</p></td>
+    </tr>
+    <tr>
+      <th>conf.level</th>
+      <td><p>Possibility to adjust the required confidence level
+for parameter that are tested if requested by 'test_log_parms'.</p></td>
+    </tr>
+    <tr>
+      <th>degparms_start</th>
+      <td><p>Parameter values given as a named numeric vector will
+be used to override the starting values obtained from the 'mmkin' object.</p></td>
+    </tr>
+    <tr>
+      <th>eta_start</th>
+      <td><p>Standard deviations on the transformed scale given as a
+named numeric vector will be used to override the starting values obtained
+from the 'mmkin' object.</p></td>
+    </tr>
+    <tr>
+      <th>...</th>
+      <td><p>Passed to nlmixr_model</p></td>
+    </tr>
+    <tr>
+      <th>save</th>
+      <td><p>Passed to <a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr::nlmixr</a></p></td>
+    </tr>
+    <tr>
+      <th>envir</th>
+      <td><p>Passed to <a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr::nlmixr</a></p></td>
+    </tr>
+    <tr>
+      <th>x</th>
+      <td><p>An nlmixr.mmkin object to print</p></td>
+    </tr>
+    <tr>
+      <th>digits</th>
+      <td><p>Number of digits to use for printing</p></td>
+    </tr>
+    <tr>
+      <th>add_attributes</th>
+      <td><p>Should the starting values used for degradation model
+parameters and their distribution and for the error model parameters
+be returned as attributes?</p></td>
+    </tr>
+    </table>
+
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>An S3 object of class 'nlmixr.mmkin', containing the fitted
+<a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr::nlmixr</a> object as a list component named 'nm'. The
+object also inherits from 'mixed.mmkin'.</p>
+<p>An function defining a model suitable for fitting with <a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr::nlmixr</a>.</p>
+<p>An dataframe suitable for use with <a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr::nlmixr</a></p>
+    <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
+
+    <p>An mmkin row object is essentially a list of mkinfit objects that have been
+obtained by fitting the same model to a list of datasets using <a href='mkinfit.html'>mkinfit</a>.</p>
+    <h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
+
+    <div class='dont-index'><p><a href='summary.nlmixr.mmkin.html'>summary.nlmixr.mmkin</a> <a href='plot.mixed.mmkin.html'>plot.mixed.mmkin</a></p></div>
+
+    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
+    <pre class="examples"><div class='input'><span class='co'># \dontrun{</span>
+<span class='va'>ds</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span><span class='op'>(</span><span class='va'>experimental_data_for_UBA_2019</span><span class='op'>[</span><span class='fl'>6</span><span class='op'>:</span><span class='fl'>10</span><span class='op'>]</span>,
+ <span class='kw'>function</span><span class='op'>(</span><span class='va'>x</span><span class='op'>)</span> <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>x</span><span class='op'>$</span><span class='va'>data</span><span class='op'>[</span><span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"name"</span>, <span class='st'>"time"</span>, <span class='st'>"value"</span><span class='op'>)</span><span class='op'>]</span><span class='op'>)</span><span class='op'>)</span>
+<span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>ds</span><span class='op'>)</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span><span class='op'>(</span><span class='st'>"Dataset"</span>, <span class='fl'>6</span><span class='op'>:</span><span class='fl'>10</span><span class='op'>)</span>
+
+<span class='va'>f_mmkin_parent</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span>, <span class='st'>"HS"</span><span class='op'>)</span>, <span class='va'>ds</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, cores <span class='op'>=</span> <span class='fl'>1</span><span class='op'>)</span>
+<span class='va'>f_mmkin_parent_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span><span class='op'>)</span>, <span class='va'>ds</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span>,
+  cores <span class='op'>=</span> <span class='fl'>1</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+
+<span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'><a href='https://github.com/nlmixrdevelopment/nlmixr'>nlmixr</a></span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'></span>
+#&gt; <span class='message'>Attaching package: ‘nlmixr’</span></div><div class='output co'>#&gt; <span class='message'>The following object is masked from ‘package:mkin’:</span>
+#&gt; <span class='message'></span>
+#&gt; <span class='message'>    saem</span></div><div class='input'><span class='va'>f_nlmixr_sfo_saem</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"saem"</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/saemControl.html'>saemControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'>→ generate SAEM model</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>RxODE 1.1.2 using 8 threads (see ?getRxThreads)</span>
+#&gt; <span class='message'>  no cache: create with `rxCreateCache()`</span></div><div class='output co'>#&gt; <span class='message'>Calculating covariance matrix</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='input'><span class='va'>f_nlmixr_sfo_focei</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/foceiControl.html'>foceiControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'>
+<span class='va'>f_nlmixr_fomc_saem</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"saem"</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/saemControl.html'>saemControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'>→ generate SAEM model</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Calculating covariance matrix</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='input'><span class='va'>f_nlmixr_fomc_focei</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/foceiControl.html'>foceiControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: last objective function was not at minimum, possible problems in optimization</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'>
+<span class='va'>f_nlmixr_dfop_saem</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"DFOP"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"saem"</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/saemControl.html'>saemControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'>→ generate SAEM model</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Calculating covariance matrix</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='input'><span class='va'>f_nlmixr_dfop_focei</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"DFOP"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/foceiControl.html'>foceiControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'>
+<span class='va'>f_nlmixr_hs_saem</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"HS"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"saem"</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/saemControl.html'>saemControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'>→ generate SAEM model</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Calculating covariance matrix</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='input'><span class='va'>f_nlmixr_hs_focei</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"HS"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/foceiControl.html'>foceiControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: last objective function was not at minimum, possible problems in optimization</span></div><div class='output co'>#&gt; <span class='warning'>Warning: using S matrix to calculate covariance, can check sandwich or R matrix with $covRS and $covR</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'>
+<span class='va'>f_nlmixr_fomc_saem_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent_tc</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"saem"</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/saemControl.html'>saemControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'>Calculating covariance matrix</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='input'><span class='va'>f_nlmixr_fomc_focei_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent_tc</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/foceiControl.html'>foceiControl</a></span><span class='op'>(</span>print <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: last objective function was not at minimum, possible problems in optimization</span></div><div class='output co'>#&gt; <span class='warning'>Warning: parameter estimate near boundary; covariance not calculated:</span>
+#&gt; <span class='warning'>   "rsd_high" </span>
+#&gt; <span class='warning'> use 'getVarCov' to calculate anyway</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate; see $scaleInfo</span></div><div class='input'>
+<span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span>
+  <span class='va'>f_nlmixr_sfo_saem</span><span class='op'>$</span><span class='va'>nm</span>, <span class='va'>f_nlmixr_sfo_focei</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_fomc_saem</span><span class='op'>$</span><span class='va'>nm</span>, <span class='va'>f_nlmixr_fomc_focei</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_dfop_saem</span><span class='op'>$</span><span class='va'>nm</span>, <span class='va'>f_nlmixr_dfop_focei</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_hs_saem</span><span class='op'>$</span><span class='va'>nm</span>, <span class='va'>f_nlmixr_hs_focei</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_fomc_saem_tc</span><span class='op'>$</span><span class='va'>nm</span>, <span class='va'>f_nlmixr_fomc_focei_tc</span><span class='op'>$</span><span class='va'>nm</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'>Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt;                           df      AIC
+#&gt; f_nlmixr_sfo_saem$nm       5 624.9492
+#&gt; f_nlmixr_sfo_focei$nm      5 625.0695
+#&gt; f_nlmixr_fomc_saem$nm      7 463.7577
+#&gt; f_nlmixr_fomc_focei$nm     7 468.0861
+#&gt; f_nlmixr_dfop_saem$nm      9 495.1980
+#&gt; f_nlmixr_dfop_focei$nm     9 495.1072
+#&gt; f_nlmixr_hs_saem$nm        9 531.0689
+#&gt; f_nlmixr_hs_focei$nm       9 545.6728
+#&gt; f_nlmixr_fomc_saem_tc$nm   8 462.1411
+#&gt; f_nlmixr_fomc_focei_tc$nm  8 470.0745</div><div class='input'>
+<span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; [1] 468.0781</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"HS"</span>, <span class='op'>]</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; [1] 535.609</div><div class='input'>
+<span class='co'># The FOCEI fit of FOMC with constant variance or the tc error model is best</span>
+<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_nlmixr_fomc_saem_tc</span><span class='op'>)</span>
+</div><div class='img'><img src='nlmixr.mmkin-1.png' alt='' width='700' height='433' /></div><div class='input'>
+<span class='va'>sfo_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"A1"</span><span class='op'>)</span>,
+  A1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='va'>fomc_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"FOMC"</span>, <span class='st'>"A1"</span><span class='op'>)</span>,
+  A1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='va'>dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"DFOP"</span>, <span class='st'>"A1"</span><span class='op'>)</span>,
+  A1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+
+<span class='va'>f_mmkin_const</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>
+    <span class='st'>"SFO-SFO"</span> <span class='op'>=</span> <span class='va'>sfo_sfo</span>, <span class='st'>"FOMC-SFO"</span> <span class='op'>=</span> <span class='va'>fomc_sfo</span>, <span class='st'>"DFOP-SFO"</span> <span class='op'>=</span> <span class='va'>dfop_sfo</span><span class='op'>)</span>,
+  <span class='va'>ds</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"const"</span><span class='op'>)</span>
+<span class='va'>f_mmkin_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>
+    <span class='st'>"SFO-SFO"</span> <span class='op'>=</span> <span class='va'>sfo_sfo</span>, <span class='st'>"FOMC-SFO"</span> <span class='op'>=</span> <span class='va'>fomc_sfo</span>, <span class='st'>"DFOP-SFO"</span> <span class='op'>=</span> <span class='va'>dfop_sfo</span><span class='op'>)</span>,
+  <span class='va'>ds</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"obs"</span><span class='op'>)</span>
+<span class='va'>f_mmkin_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>
+    <span class='st'>"SFO-SFO"</span> <span class='op'>=</span> <span class='va'>sfo_sfo</span>, <span class='st'>"FOMC-SFO"</span> <span class='op'>=</span> <span class='va'>fomc_sfo</span>, <span class='st'>"DFOP-SFO"</span> <span class='op'>=</span> <span class='va'>dfop_sfo</span><span class='op'>)</span>,
+  <span class='va'>ds</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
+
+<span class='fu'>nlmixr_model</span><span class='op'>(</span><span class='va'>f_mmkin_const</span><span class='op'>[</span><span class='st'>"SFO-SFO"</span>, <span class='op'>]</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'>Constant variance for more than one variable is not supported for est = 'saem'</span>
+#&gt; <span class='message'>Changing the error model to 'obs' (variance by observed variable)</span></div><div class='output co'>#&gt; function () 
+#&gt; {
+#&gt;     ini({
+#&gt;         parent_0 = 87
+#&gt;         eta.parent_0 ~ 4.2
+#&gt;         log_k_parent = -3.2
+#&gt;         eta.log_k_parent ~ 1.5
+#&gt;         log_k_A1 = -4.6
+#&gt;         eta.log_k_A1 ~ 0.56
+#&gt;         f_parent_qlogis = -0.33
+#&gt;         eta.f_parent_qlogis ~ 1.1
+#&gt;         sigma_parent = 4.3
+#&gt;         sigma_A1 = 4.3
+#&gt;     })
+#&gt;     model({
+#&gt;         parent_0_model = parent_0 + eta.parent_0
+#&gt;         parent(0) = parent_0_model
+#&gt;         k_parent = exp(log_k_parent + eta.log_k_parent)
+#&gt;         k_A1 = exp(log_k_A1 + eta.log_k_A1)
+#&gt;         f_parent_to_A1 = expit(f_parent_qlogis + eta.f_parent_qlogis)
+#&gt;         d/dt(parent) = -k_parent * parent
+#&gt;         d/dt(A1) = +f_parent_to_A1 * k_parent * parent - k_A1 * 
+#&gt;             A1
+#&gt;         parent ~ add(sigma_parent)
+#&gt;         A1 ~ add(sigma_A1)
+#&gt;     })
+#&gt; }
+#&gt; &lt;environment: 0x55556675b428&gt;</div><div class='input'>
+<span class='co'># A single constant variance is currently only possible with est = 'focei' in nlmixr</span>
+<span class='va'>f_nlmixr_sfo_sfo_focei_const</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_const</span><span class='op'>[</span><span class='st'>"SFO-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"
+#&gt; <span style='font-weight: bold;'>Key:</span> U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
+#&gt; F: Forward difference gradient approximation
+#&gt; C: Central difference gradient approximation
+#&gt; M: Mixed forward and central difference gradient approximation
+#&gt; Unscaled parameters for Omegas=chol(solve(omega));
+#&gt; Diagonals are transformed, as specified by foceiControl(diagXform=)
+#&gt; |-----+---------------+-----------+-----------+-----------+-----------|
+#&gt; |    #| Objective Fun |  parent_0 |log_k_parent |  log_k_A1 |f_parent_qlogis |
+#&gt; |.....................|     sigma |        o1 |        o2 |        o3 |
+#&gt; <span style='text-decoration: underline;'>|.....................|        o4 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    1</span>|     756.61847 |     1.000 |   -0.9694 |    -1.000 |   -0.9068 |
+#&gt; |.....................|   -0.8057 |   -0.8843 |   -0.8798 |   -0.8743 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8782 |...........|...........|...........|</span>
+#&gt; |    U|     756.61847 |     87.00 |    -3.200 |    -4.600 |   -0.3300 |
+#&gt; |.....................|     4.300 |    0.6985 |    0.9036 |     1.156 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9765 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     756.61847</span> |     87.00 |   0.04076 |   0.01005 |    0.4182 |
+#&gt; |.....................|     4.300 |    0.6985 |    0.9036 |     1.156 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9765 |...........|...........|...........|</span>
+#&gt; |    G|    Gill Diff. |     104.1 |   0.02915 |    0.3320 |    0.4427 |
+#&gt; |.....................|    -29.46 |     6.499 |     3.260 |    -8.158 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -5.501 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    2</span>|     4014.8405 |   0.04387 |   -0.9697 |    -1.003 |   -0.9108 |
+#&gt; |.....................|   -0.5352 |   -0.9440 |   -0.9098 |   -0.7994 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8277 |...........|...........|...........|</span>
+#&gt; |    U|     4014.8405 |     3.817 |    -3.200 |    -4.603 |   -0.3313 |
+#&gt; |.....................|     4.882 |    0.6569 |    0.8766 |     1.243 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.026 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     4014.8405</span> |     3.817 |   0.04075 |   0.01002 |    0.4179 |
+#&gt; |.....................|     4.882 |    0.6569 |    0.8766 |     1.243 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.026 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    3</span>|     784.09766 |    0.9044 |   -0.9695 |    -1.000 |   -0.9072 |
+#&gt; |.....................|   -0.7786 |   -0.8903 |   -0.8828 |   -0.8668 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8732 |...........|...........|...........|</span>
+#&gt; |    U|     784.09766 |     78.68 |    -3.200 |    -4.600 |   -0.3301 |
+#&gt; |.....................|     4.358 |    0.6944 |    0.9009 |     1.165 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9814 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     784.09766</span> |     78.68 |   0.04076 |   0.01005 |    0.4182 |
+#&gt; |.....................|     4.358 |    0.6944 |    0.9009 |     1.165 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9814 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    4</span>|     755.85897 |    0.9864 |   -0.9694 |    -1.000 |   -0.9068 |
+#&gt; |.....................|   -0.8018 |   -0.8852 |   -0.8803 |   -0.8733 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8775 |...........|...........|...........|</span>
+#&gt; |    U|     755.85897 |     85.82 |    -3.200 |    -4.600 |   -0.3300 |
+#&gt; |.....................|     4.308 |    0.6979 |    0.9032 |     1.157 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9772 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     755.85897</span> |     85.82 |   0.04076 |   0.01005 |    0.4182 |
+#&gt; |.....................|     4.308 |    0.6979 |    0.9032 |     1.157 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9772 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -10.67 |    0.1182 |    0.2197 |    0.3686 |
+#&gt; |.....................|    -28.82 |     3.860 |     3.200 |    -8.294 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -5.254 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    5</span>|     755.50135 |    0.9911 |   -0.9695 |    -1.000 |   -0.9070 |
+#&gt; |.....................|   -0.7893 |   -0.8868 |   -0.8816 |   -0.8697 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8752 |...........|...........|...........|</span>
+#&gt; |    U|     755.50135 |     86.22 |    -3.200 |    -4.600 |   -0.3301 |
+#&gt; |.....................|     4.335 |    0.6968 |    0.9020 |     1.161 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9794 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     755.50135</span> |     86.22 |   0.04076 |   0.01005 |    0.4182 |
+#&gt; |.....................|     4.335 |    0.6968 |    0.9020 |     1.161 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9794 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    6</span>|     755.34910 |    0.9966 |   -0.9695 |    -1.000 |   -0.9072 |
+#&gt; |.....................|   -0.7744 |   -0.8888 |   -0.8833 |   -0.8654 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8725 |...........|...........|...........|</span>
+#&gt; |    U|      755.3491 |     86.70 |    -3.200 |    -4.600 |   -0.3301 |
+#&gt; |.....................|     4.367 |    0.6954 |    0.9005 |     1.166 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9820 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      755.3491</span> |     86.70 |   0.04076 |   0.01005 |    0.4182 |
+#&gt; |.....................|     4.367 |    0.6954 |    0.9005 |     1.166 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9820 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     73.92 |   0.04965 |    0.3063 |    0.4373 |
+#&gt; |.....................|    -23.46 |     5.143 |     2.934 |    -7.746 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -5.165 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    7</span>|     754.44379 |    0.9831 |   -0.9697 |    -1.001 |   -0.9076 |
+#&gt; |.....................|   -0.7489 |   -0.8930 |   -0.8865 |   -0.8566 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8669 |...........|...........|...........|</span>
+#&gt; |    U|     754.44379 |     85.53 |    -3.200 |    -4.601 |   -0.3303 |
+#&gt; |.....................|     4.422 |    0.6925 |    0.8975 |     1.176 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9875 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     754.44379</span> |     85.53 |   0.04075 |   0.01005 |    0.4182 |
+#&gt; |.....................|     4.422 |    0.6925 |    0.8975 |     1.176 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9875 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -36.39 |    0.1354 |    0.1953 |    0.3724 |
+#&gt; |.....................|    -19.20 |     3.020 |     2.621 |    -7.506 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -4.671 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    8</span>|     753.82350 |    0.9908 |   -0.9699 |    -1.001 |   -0.9085 |
+#&gt; |.....................|   -0.7249 |   -0.8992 |   -0.8910 |   -0.8427 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8580 |...........|...........|...........|</span>
+#&gt; |    U|      753.8235 |     86.20 |    -3.200 |    -4.601 |   -0.3306 |
+#&gt; |.....................|     4.474 |    0.6881 |    0.8935 |     1.193 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9962 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      753.8235</span> |     86.20 |   0.04074 |   0.01004 |    0.4181 |
+#&gt; |.....................|     4.474 |    0.6881 |    0.8935 |     1.193 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.9962 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     25.33 |   0.08213 |    0.2542 |    0.4339 |
+#&gt; |.....................|    -14.89 |     3.322 |     2.230 |    -6.934 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -4.324 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    9</span>|     753.42397 |    0.9836 |   -0.9702 |    -1.002 |   -0.9101 |
+#&gt; |.....................|   -0.7094 |   -0.9058 |   -0.8962 |   -0.8215 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8457 |...........|...........|...........|</span>
+#&gt; |    U|     753.42397 |     85.57 |    -3.201 |    -4.602 |   -0.3311 |
+#&gt; |.....................|     4.507 |    0.6835 |    0.8888 |     1.217 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.008 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     753.42397</span> |     85.57 |   0.04073 |   0.01003 |    0.4180 |
+#&gt; |.....................|     4.507 |    0.6835 |    0.8888 |     1.217 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.008 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -31.38 |    0.1220 |    0.1752 |    0.4111 |
+#&gt; |.....................|    -12.58 |     2.402 |     1.769 |    -6.044 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -3.541 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   10</span>|     753.10125 |    0.9902 |   -0.9707 |    -1.003 |   -0.9128 |
+#&gt; |.....................|   -0.7033 |   -0.9147 |   -0.8999 |   -0.7966 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8328 |...........|...........|...........|</span>
+#&gt; |    U|     753.10125 |     86.15 |    -3.201 |    -4.603 |   -0.3320 |
+#&gt; |.....................|     4.520 |    0.6773 |    0.8855 |     1.246 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.021 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     753.10125</span> |     86.15 |   0.04071 |   0.01002 |    0.4178 |
+#&gt; |.....................|     4.520 |    0.6773 |    0.8855 |     1.246 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.021 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     18.19 |   0.07644 |    0.2005 |    0.4693 |
+#&gt; |.....................|    -11.34 |     2.660 |     1.470 |    -4.866 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -2.908 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   11</span>|     752.83558 |    0.9856 |   -0.9716 |    -1.004 |   -0.9194 |
+#&gt; |.....................|   -0.6931 |   -0.9294 |   -0.8999 |   -0.7740 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8246 |...........|...........|...........|</span>
+#&gt; |    U|     752.83558 |     85.75 |    -3.202 |    -4.604 |   -0.3342 |
+#&gt; |.....................|     4.542 |    0.6671 |    0.8855 |     1.272 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.029 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.83558</span> |     85.75 |   0.04067 |   0.01001 |    0.4172 |
+#&gt; |.....................|     4.542 |    0.6671 |    0.8855 |     1.272 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.029 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -17.42 |   0.09700 |    0.1175 |    0.4453 |
+#&gt; |.....................|    -9.793 |     1.829 |     1.489 |    -3.997 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -2.337 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   12</span>|     752.64046 |    0.9898 |   -0.9731 |    -1.005 |   -0.9331 |
+#&gt; |.....................|   -0.6718 |   -0.9413 |   -0.9101 |   -0.7759 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8318 |...........|...........|...........|</span>
+#&gt; |    U|     752.64046 |     86.12 |    -3.204 |    -4.605 |   -0.3387 |
+#&gt; |.....................|     4.588 |    0.6587 |    0.8763 |     1.270 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.022 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.64046</span> |     86.12 |   0.04061 |   0.01000 |    0.4161 |
+#&gt; |.....................|     4.588 |    0.6587 |    0.8763 |     1.270 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.022 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     12.96 |   0.06018 |    0.1556 |    0.4415 |
+#&gt; |.....................|    -6.445 |     1.822 |    0.6282 |    -4.092 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -2.761 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   13</span>|     752.52461 |    0.9874 |   -0.9741 |    -1.006 |   -0.9430 |
+#&gt; |.....................|   -0.6755 |   -0.9483 |   -0.9069 |   -0.7553 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8127 |...........|...........|...........|</span>
+#&gt; |    U|     752.52461 |     85.90 |    -3.205 |    -4.606 |   -0.3420 |
+#&gt; |.....................|     4.580 |    0.6538 |    0.8792 |     1.294 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.040 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.52461</span> |     85.90 |   0.04057 |  0.009996 |    0.4153 |
+#&gt; |.....................|     4.580 |    0.6538 |    0.8792 |     1.294 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.040 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -5.319 |   0.06758 |    0.1323 |    0.4528 |
+#&gt; |.....................|    -7.018 |     1.348 |    0.9128 |    -3.312 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.706 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   14</span>|     752.47650 |    0.9920 |   -0.9750 |    -1.008 |   -0.9578 |
+#&gt; |.....................|   -0.6735 |   -0.9481 |   -0.9014 |   -0.7293 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8100 |...........|...........|...........|</span>
+#&gt; |    U|      752.4765 |     86.30 |    -3.206 |    -4.608 |   -0.3468 |
+#&gt; |.....................|     4.584 |    0.6539 |    0.8841 |     1.324 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.043 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      752.4765</span> |     86.30 |   0.04054 |  0.009974 |    0.4142 |
+#&gt; |.....................|     4.584 |    0.6539 |    0.8841 |     1.324 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.043 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     26.38 |   0.03719 |   0.08701 |    0.4621 |
+#&gt; |.....................|    -6.642 |     1.808 |     1.401 |    -2.463 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.595 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   15</span>|     752.37074 |    0.9880 |   -0.9759 |    -1.009 |   -0.9778 |
+#&gt; |.....................|   -0.6665 |   -0.9465 |   -0.9156 |   -0.7192 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8239 |...........|...........|...........|</span>
+#&gt; |    U|     752.37074 |     85.96 |    -3.206 |    -4.609 |   -0.3534 |
+#&gt; |.....................|     4.599 |    0.6551 |    0.8713 |     1.335 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.030 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.37074</span> |     85.96 |   0.04050 |  0.009963 |    0.4125 |
+#&gt; |.....................|     4.599 |    0.6551 |    0.8713 |     1.335 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.030 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.8866 |   0.05090 |  -0.01541 |    0.3812 |
+#&gt; |.....................|    -5.712 |     1.436 |    0.1646 |    -2.191 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -2.247 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   16</span>|     752.26949 |    0.9921 |   -0.9761 |    -1.009 |   -0.9796 |
+#&gt; |.....................|   -0.6402 |   -0.9531 |   -0.9164 |   -0.7091 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8135 |...........|...........|...........|</span>
+#&gt; |    U|     752.26949 |     86.31 |    -3.207 |    -4.609 |   -0.3540 |
+#&gt; |.....................|     4.656 |    0.6505 |    0.8706 |     1.347 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.040 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.26949</span> |     86.31 |   0.04049 |  0.009963 |    0.4124 |
+#&gt; |.....................|     4.656 |    0.6505 |    0.8706 |     1.347 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.040 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     26.82 |   0.02710 |   0.03892 |    0.4267 |
+#&gt; |.....................|    -2.005 |     1.500 |    0.1022 |    -1.862 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.773 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   17</span>|     752.20271 |    0.9873 |   -0.9768 |    -1.006 |   -0.9927 |
+#&gt; |.....................|   -0.6361 |   -0.9677 |   -0.9007 |   -0.7162 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7982 |...........|...........|...........|</span>
+#&gt; |    U|     752.20271 |     85.89 |    -3.207 |    -4.606 |   -0.3584 |
+#&gt; |.....................|     4.664 |    0.6403 |    0.8848 |     1.339 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.055 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.20271</span> |     85.89 |   0.04046 |  0.009992 |    0.4114 |
+#&gt; |.....................|     4.664 |    0.6403 |    0.8848 |     1.339 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.055 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -7.259 |   0.05081 |    0.1320 |    0.4166 |
+#&gt; |.....................|    -1.497 |    0.4663 |     1.471 |    -1.984 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.9590 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   18</span>|     752.16826 |    0.9883 |   -0.9778 |    -1.006 |    -1.005 |
+#&gt; |.....................|   -0.6437 |   -0.9795 |   -0.9210 |   -0.7076 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7873 |...........|...........|...........|</span>
+#&gt; |    U|     752.16826 |     85.98 |    -3.208 |    -4.606 |   -0.3626 |
+#&gt; |.....................|     4.648 |    0.6320 |    0.8664 |     1.349 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.16826</span> |     85.98 |   0.04042 |  0.009989 |    0.4103 |
+#&gt; |.....................|     4.648 |    0.6320 |    0.8664 |     1.349 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.732 |   0.03428 |    0.1666 |    0.4265 |
+#&gt; |.....................|    -2.413 |    0.2526 |   -0.2557 |    -1.689 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3553 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   19</span>|     752.25223 |    0.9952 |   -0.9788 |    -1.010 |    -1.023 |
+#&gt; |.....................|   -0.6370 |   -0.9826 |   -0.9156 |   -0.6853 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7912 |...........|...........|...........|</span>
+#&gt; |    U|     752.25223 |     86.58 |    -3.209 |    -4.610 |   -0.3684 |
+#&gt; |.....................|     4.663 |    0.6299 |    0.8713 |     1.374 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.061 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.25223</span> |     86.58 |   0.04038 |  0.009949 |    0.4089 |
+#&gt; |.....................|     4.663 |    0.6299 |    0.8713 |     1.374 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.061 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   20</span>|     752.18605 |    0.9920 |   -0.9778 |    -1.007 |    -1.006 |
+#&gt; |.....................|   -0.6387 |   -0.9801 |   -0.9204 |   -0.7040 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7866 |...........|...........|...........|</span>
+#&gt; |    U|     752.18605 |     86.30 |    -3.208 |    -4.607 |   -0.3629 |
+#&gt; |.....................|     4.659 |    0.6316 |    0.8669 |     1.353 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.18605</span> |     86.30 |   0.04042 |  0.009985 |    0.4103 |
+#&gt; |.....................|     4.659 |    0.6316 |    0.8669 |     1.353 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   21</span>|     752.16428 |    0.9894 |   -0.9778 |    -1.006 |    -1.006 |
+#&gt; |.....................|   -0.6422 |   -0.9797 |   -0.9208 |   -0.7065 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7871 |...........|...........|...........|</span>
+#&gt; |    U|     752.16428 |     86.08 |    -3.208 |    -4.606 |   -0.3627 |
+#&gt; |.....................|     4.651 |    0.6319 |    0.8666 |     1.350 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.16428</span> |     86.08 |   0.04042 |  0.009988 |    0.4103 |
+#&gt; |.....................|     4.651 |    0.6319 |    0.8666 |     1.350 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     5.144 |   0.02886 |    0.1726 |    0.4333 |
+#&gt; |.....................|    -2.192 |    0.3285 |   -0.2407 |    -1.661 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3568 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   22</span>|     752.15919 |    0.9884 |   -0.9779 |    -1.007 |    -1.007 |
+#&gt; |.....................|   -0.6420 |   -0.9798 |   -0.9206 |   -0.7051 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7874 |...........|...........|...........|</span>
+#&gt; |    U|     752.15919 |     85.99 |    -3.208 |    -4.607 |   -0.3630 |
+#&gt; |.....................|     4.652 |    0.6319 |    0.8668 |     1.352 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.15919</span> |     85.99 |   0.04042 |  0.009985 |    0.4102 |
+#&gt; |.....................|     4.652 |    0.6319 |    0.8668 |     1.352 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.486 |   0.03361 |    0.1549 |    0.4244 |
+#&gt; |.....................|    -2.177 |    0.2364 |   -0.2213 |    -1.616 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3570 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   23</span>|     752.15545 |    0.9894 |   -0.9779 |    -1.007 |    -1.007 |
+#&gt; |.....................|   -0.6405 |   -0.9799 |   -0.9204 |   -0.7040 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7872 |...........|...........|...........|</span>
+#&gt; |    U|     752.15545 |     86.07 |    -3.208 |    -4.607 |   -0.3631 |
+#&gt; |.....................|     4.655 |    0.6318 |    0.8669 |     1.353 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.15545</span> |     86.07 |   0.04042 |  0.009984 |    0.4102 |
+#&gt; |.....................|     4.655 |    0.6318 |    0.8669 |     1.353 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.936 |   0.02854 |    0.1600 |    0.4306 |
+#&gt; |.....................|    -1.962 |    0.3065 |   -0.2063 |    -1.586 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3570 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   24</span>|     752.15077 |    0.9884 |   -0.9779 |    -1.007 |    -1.008 |
+#&gt; |.....................|   -0.6403 |   -0.9800 |   -0.9202 |   -0.7026 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7875 |...........|...........|...........|</span>
+#&gt; |    U|     752.15077 |     85.99 |    -3.209 |    -4.607 |   -0.3635 |
+#&gt; |.....................|     4.656 |    0.6317 |    0.8672 |     1.355 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.15077</span> |     85.99 |   0.04042 |  0.009981 |    0.4101 |
+#&gt; |.....................|     4.656 |    0.6317 |    0.8672 |     1.355 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.303 |   0.03292 |    0.1430 |    0.4220 |
+#&gt; |.....................|    -1.955 |    0.2207 |   -0.1874 |    -1.542 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3581 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   25</span>|     752.14731 |    0.9893 |   -0.9780 |    -1.007 |    -1.009 |
+#&gt; |.....................|   -0.6389 |   -0.9801 |   -0.9200 |   -0.7014 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7873 |...........|...........|...........|</span>
+#&gt; |    U|     752.14731 |     86.07 |    -3.209 |    -4.607 |   -0.3637 |
+#&gt; |.....................|     4.659 |    0.6316 |    0.8673 |     1.356 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.14731</span> |     86.07 |   0.04042 |  0.009980 |    0.4101 |
+#&gt; |.....................|     4.659 |    0.6316 |    0.8673 |     1.356 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.764 |   0.02806 |    0.1473 |    0.4277 |
+#&gt; |.....................|    -1.749 |    0.2865 |   -0.1727 |    -1.510 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3572 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   26</span>|     752.14299 |    0.9884 |   -0.9780 |    -1.007 |    -1.010 |
+#&gt; |.....................|   -0.6388 |   -0.9801 |   -0.9198 |   -0.7000 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7876 |...........|...........|...........|</span>
+#&gt; |    U|     752.14299 |     85.99 |    -3.209 |    -4.607 |   -0.3641 |
+#&gt; |.....................|     4.659 |    0.6316 |    0.8675 |     1.358 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.14299</span> |     85.99 |   0.04041 |  0.009978 |    0.4100 |
+#&gt; |.....................|     4.659 |    0.6316 |    0.8675 |     1.358 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.130 |   0.03192 |    0.1311 |    0.4194 |
+#&gt; |.....................|    -1.750 |    0.2064 |   -0.1542 |    -1.466 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3587 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   27</span>|     752.13982 |    0.9893 |   -0.9781 |    -1.008 |    -1.010 |
+#&gt; |.....................|   -0.6374 |   -0.9803 |   -0.9196 |   -0.6987 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7873 |...........|...........|...........|</span>
+#&gt; |    U|     752.13982 |     86.07 |    -3.209 |    -4.608 |   -0.3642 |
+#&gt; |.....................|     4.662 |    0.6315 |    0.8676 |     1.359 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.13982</span> |     86.07 |   0.04041 |  0.009977 |    0.4099 |
+#&gt; |.....................|     4.662 |    0.6315 |    0.8676 |     1.359 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.635 |   0.02760 |    0.1350 |    0.4248 |
+#&gt; |.....................|    -1.550 |    0.2683 |   -0.1407 |    -1.433 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3557 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   28</span>|     752.13580 |    0.9884 |   -0.9782 |    -1.008 |    -1.012 |
+#&gt; |.....................|   -0.6373 |   -0.9803 |   -0.9194 |   -0.6973 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7876 |...........|...........|...........|</span>
+#&gt; |    U|      752.1358 |     85.99 |    -3.209 |    -4.608 |   -0.3647 |
+#&gt; |.....................|     4.662 |    0.6315 |    0.8678 |     1.361 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      752.1358</span> |     85.99 |   0.04041 |  0.009975 |    0.4098 |
+#&gt; |.....................|     4.662 |    0.6315 |    0.8678 |     1.361 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.9657 |   0.03147 |    0.1207 |    0.4166 |
+#&gt; |.....................|    -1.557 |    0.1931 |   -0.1227 |    -1.391 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3574 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   29</span>|     752.13295 |    0.9893 |   -0.9782 |    -1.008 |    -1.012 |
+#&gt; |.....................|   -0.6359 |   -0.9805 |   -0.9193 |   -0.6961 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7873 |...........|...........|...........|</span>
+#&gt; |    U|     752.13295 |     86.07 |    -3.209 |    -4.608 |   -0.3648 |
+#&gt; |.....................|     4.665 |    0.6314 |    0.8679 |     1.362 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.13295</span> |     86.07 |   0.04041 |  0.009973 |    0.4098 |
+#&gt; |.....................|     4.665 |    0.6314 |    0.8679 |     1.362 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.554 |   0.02702 |    0.1245 |    0.4220 |
+#&gt; |.....................|    -1.357 |    0.2511 |   -0.1114 |    -1.356 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3512 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   30</span>|     752.12919 |    0.9885 |   -0.9783 |    -1.008 |    -1.014 |
+#&gt; |.....................|   -0.6359 |   -0.9804 |   -0.9191 |   -0.6947 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7876 |...........|...........|...........|</span>
+#&gt; |    U|     752.12919 |     86.00 |    -3.209 |    -4.608 |   -0.3653 |
+#&gt; |.....................|     4.665 |    0.6314 |    0.8681 |     1.364 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.12919</span> |     86.00 |   0.04040 |  0.009972 |    0.4097 |
+#&gt; |.....................|     4.665 |    0.6314 |    0.8681 |     1.364 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.8077 |   0.03076 |    0.1104 |    0.4140 |
+#&gt; |.....................|    -1.370 |    0.1799 |  -0.09417 |    -1.307 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3529 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   31</span>|     752.12656 |    0.9893 |   -0.9783 |    -1.008 |    -1.014 |
+#&gt; |.....................|   -0.6345 |   -0.9806 |   -0.9190 |   -0.6934 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7872 |...........|...........|...........|</span>
+#&gt; |    U|     752.12656 |     86.07 |    -3.209 |    -4.608 |   -0.3654 |
+#&gt; |.....................|     4.668 |    0.6313 |    0.8682 |     1.365 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.12656</span> |     86.07 |   0.04040 |  0.009970 |    0.4096 |
+#&gt; |.....................|     4.668 |    0.6313 |    0.8682 |     1.365 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.375 |   0.02651 |    0.1140 |    0.4191 |
+#&gt; |.....................|    -1.173 |    0.2330 |  -0.08481 |    -1.281 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3435 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   32</span>|     752.12310 |    0.9885 |   -0.9784 |    -1.008 |    -1.016 |
+#&gt; |.....................|   -0.6345 |   -0.9806 |   -0.9188 |   -0.6922 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7875 |...........|...........|...........|</span>
+#&gt; |    U|      752.1231 |     86.00 |    -3.209 |    -4.608 |   -0.3659 |
+#&gt; |.....................|     4.668 |    0.6313 |    0.8684 |     1.367 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      752.1231</span> |     86.00 |   0.04040 |  0.009969 |    0.4095 |
+#&gt; |.....................|     4.668 |    0.6313 |    0.8684 |     1.367 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.6515 |   0.02994 |    0.1012 |    0.4113 |
+#&gt; |.....................|    -1.192 |    0.1669 |  -0.06829 |    -1.233 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3455 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   33</span>|     752.12055 |    0.9892 |   -0.9784 |    -1.008 |    -1.016 |
+#&gt; |.....................|   -0.6332 |   -0.9808 |   -0.9187 |   -0.6908 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7871 |...........|...........|...........|</span>
+#&gt; |    U|     752.12055 |     86.06 |    -3.209 |    -4.608 |   -0.3661 |
+#&gt; |.....................|     4.671 |    0.6312 |    0.8685 |     1.368 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.12055</span> |     86.06 |   0.04040 |  0.009968 |    0.4095 |
+#&gt; |.....................|     4.671 |    0.6312 |    0.8685 |     1.368 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.998 |   0.02610 |    0.1041 |    0.4159 |
+#&gt; |.....................|    -1.002 |    0.2127 |  -0.06061 |    -1.206 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3333 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   34</span>|     752.11747 |    0.9885 |   -0.9785 |    -1.009 |    -1.018 |
+#&gt; |.....................|   -0.6332 |   -0.9807 |   -0.9185 |   -0.6896 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7874 |...........|...........|...........|</span>
+#&gt; |    U|     752.11747 |     86.00 |    -3.209 |    -4.609 |   -0.3666 |
+#&gt; |.....................|     4.671 |    0.6312 |    0.8687 |     1.370 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.11747</span> |     86.00 |   0.04039 |  0.009966 |    0.4094 |
+#&gt; |.....................|     4.671 |    0.6312 |    0.8687 |     1.370 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.5772 |   0.02918 |   0.09258 |    0.4085 |
+#&gt; |.....................|    -1.024 |    0.1535 |  -0.04467 |    -1.159 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3360 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   35</span>|     752.11522 |    0.9892 |   -0.9785 |    -1.009 |    -1.018 |
+#&gt; |.....................|   -0.6319 |   -0.9809 |   -0.9185 |   -0.6881 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7870 |...........|...........|...........|</span>
+#&gt; |    U|     752.11522 |     86.06 |    -3.209 |    -4.609 |   -0.3668 |
+#&gt; |.....................|     4.674 |    0.6311 |    0.8687 |     1.371 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.11522</span> |     86.06 |   0.04039 |  0.009965 |    0.4093 |
+#&gt; |.....................|     4.674 |    0.6311 |    0.8687 |     1.371 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.959 |   0.02535 |   0.09612 |    0.4130 |
+#&gt; |.....................|   -0.8451 |    0.1980 |  -0.03883 |    -1.121 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3219 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   36</span>|     752.11234 |    0.9885 |   -0.9786 |    -1.009 |    -1.020 |
+#&gt; |.....................|   -0.6320 |   -0.9808 |   -0.9183 |   -0.6870 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7872 |...........|...........|...........|</span>
+#&gt; |    U|     752.11234 |     86.00 |    -3.209 |    -4.609 |   -0.3673 |
+#&gt; |.....................|     4.673 |    0.6311 |    0.8689 |     1.373 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.11234</span> |     86.00 |   0.04039 |  0.009964 |    0.4092 |
+#&gt; |.....................|     4.673 |    0.6311 |    0.8689 |     1.373 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.065 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.5042 |   0.02791 |   0.08363 |    0.4056 |
+#&gt; |.....................|   -0.8741 |    0.1402 |  -0.02542 |    -1.088 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3257 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   37</span>|     752.11033 |    0.9892 |   -0.9787 |    -1.009 |    -1.020 |
+#&gt; |.....................|   -0.6308 |   -0.9810 |   -0.9182 |   -0.6855 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7868 |...........|...........|...........|</span>
+#&gt; |    U|     752.11033 |     86.06 |    -3.209 |    -4.609 |   -0.3675 |
+#&gt; |.....................|     4.676 |    0.6310 |    0.8689 |     1.374 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.11033</span> |     86.06 |   0.04039 |  0.009963 |    0.4091 |
+#&gt; |.....................|     4.676 |    0.6310 |    0.8689 |     1.374 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.874 |   0.02465 |   0.08719 |    0.4100 |
+#&gt; |.....................|   -0.7032 |    0.1835 |  -0.01978 |    -1.047 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3084 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   38</span>|     752.10764 |    0.9885 |   -0.9787 |    -1.009 |    -1.022 |
+#&gt; |.....................|   -0.6309 |   -0.9810 |   -0.9181 |   -0.6844 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7870 |...........|...........|...........|</span>
+#&gt; |    U|     752.10764 |     86.00 |    -3.209 |    -4.609 |   -0.3681 |
+#&gt; |.....................|     4.676 |    0.6310 |    0.8691 |     1.376 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.10764</span> |     86.00 |   0.04038 |  0.009962 |    0.4090 |
+#&gt; |.....................|     4.676 |    0.6310 |    0.8691 |     1.376 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.4131 |   0.02699 |   0.07721 |    0.4026 |
+#&gt; |.....................|   -0.7354 |    0.1282 | -0.007503 |    -1.011 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3125 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   39</span>|     752.10572 |    0.9892 |   -0.9788 |    -1.009 |    -1.023 |
+#&gt; |.....................|   -0.6298 |   -0.9812 |   -0.9181 |   -0.6829 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7865 |...........|...........|...........|</span>
+#&gt; |    U|     752.10572 |     86.06 |    -3.209 |    -4.609 |   -0.3683 |
+#&gt; |.....................|     4.678 |    0.6309 |    0.8691 |     1.377 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.10572</span> |     86.06 |   0.04038 |  0.009960 |    0.4090 |
+#&gt; |.....................|     4.678 |    0.6309 |    0.8691 |     1.377 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.580 |   0.02411 |   0.07834 |    0.4067 |
+#&gt; |.....................|   -0.5755 |    0.1666 | -0.003596 |   -0.9604 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2924 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   40</span>|     752.10333 |    0.9885 |   -0.9789 |    -1.009 |    -1.024 |
+#&gt; |.....................|   -0.6300 |   -0.9811 |   -0.9179 |   -0.6819 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7867 |...........|...........|...........|</span>
+#&gt; |    U|     752.10333 |     86.00 |    -3.209 |    -4.609 |   -0.3688 |
+#&gt; |.....................|     4.678 |    0.6309 |    0.8692 |     1.378 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.10333</span> |     86.00 |   0.04038 |  0.009959 |    0.4088 |
+#&gt; |.....................|     4.678 |    0.6309 |    0.8692 |     1.378 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.3772 |   0.02648 |   0.06875 |    0.3997 |
+#&gt; |.....................|   -0.6082 |    0.1162 |  0.008208 |   -0.9328 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2962 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   41</span>|     752.10169 |    0.9892 |   -0.9789 |    -1.009 |    -1.025 |
+#&gt; |.....................|   -0.6289 |   -0.9813 |   -0.9179 |   -0.6803 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7862 |...........|...........|...........|</span>
+#&gt; |    U|     752.10169 |     86.06 |    -3.209 |    -4.609 |   -0.3691 |
+#&gt; |.....................|     4.680 |    0.6308 |    0.8692 |     1.380 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.10169</span> |     86.06 |   0.04038 |  0.009958 |    0.4088 |
+#&gt; |.....................|     4.680 |    0.6308 |    0.8692 |     1.380 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.644 |   0.02338 |   0.07127 |    0.4037 |
+#&gt; |.....................|   -0.4618 |    0.1554 |  0.009391 |   -0.8908 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2755 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   42</span>|     752.09938 |    0.9886 |   -0.9790 |    -1.009 |    -1.027 |
+#&gt; |.....................|   -0.6291 |   -0.9812 |   -0.9178 |   -0.6794 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7864 |...........|...........|...........|</span>
+#&gt; |    U|     752.09938 |     86.00 |    -3.210 |    -4.609 |   -0.3697 |
+#&gt; |.....................|     4.680 |    0.6308 |    0.8693 |     1.381 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.09938</span> |     86.00 |   0.04037 |  0.009958 |    0.4086 |
+#&gt; |.....................|     4.680 |    0.6308 |    0.8693 |     1.381 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.2627 |   0.02548 |   0.06256 |    0.3967 |
+#&gt; |.....................|   -0.4955 |    0.1055 |   0.02027 |   -0.8653 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2789 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   43</span>|     752.09757 |    0.9890 |   -0.9791 |    -1.010 |    -1.028 |
+#&gt; |.....................|   -0.6281 |   -0.9814 |   -0.9178 |   -0.6778 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7859 |...........|...........|...........|</span>
+#&gt; |    U|     752.09757 |     86.05 |    -3.210 |    -4.610 |   -0.3699 |
+#&gt; |.....................|     4.682 |    0.6307 |    0.8693 |     1.383 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.09757</span> |     86.05 |   0.04037 |  0.009956 |    0.4086 |
+#&gt; |.....................|     4.682 |    0.6307 |    0.8693 |     1.383 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.867 |   0.02296 |   0.06369 |    0.3997 |
+#&gt; |.....................|   -0.3645 |    0.1327 |   0.01894 |   -0.8216 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2549 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   44</span>|     752.09570 |    0.9886 |   -0.9791 |    -1.010 |    -1.030 |
+#&gt; |.....................|   -0.6283 |   -0.9814 |   -0.9177 |   -0.6770 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7861 |...........|...........|...........|</span>
+#&gt; |    U|      752.0957 |     86.00 |    -3.210 |    -4.610 |   -0.3705 |
+#&gt; |.....................|     4.681 |    0.6307 |    0.8694 |     1.384 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      752.0957</span> |     86.00 |   0.04037 |  0.009956 |    0.4084 |
+#&gt; |.....................|     4.681 |    0.6307 |    0.8694 |     1.384 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.066 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.2846 |   0.02474 |   0.05675 |    0.3935 |
+#&gt; |.....................|   -0.3960 |   0.09353 |   0.02976 |   -0.7961 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2595 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   45</span>|     752.09434 |    0.9891 |   -0.9792 |    -1.010 |    -1.030 |
+#&gt; |.....................|   -0.6275 |   -0.9816 |   -0.9177 |   -0.6754 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7856 |...........|...........|...........|</span>
+#&gt; |    U|     752.09434 |     86.05 |    -3.210 |    -4.610 |   -0.3708 |
+#&gt; |.....................|     4.683 |    0.6306 |    0.8694 |     1.386 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.09434</span> |     86.05 |   0.04037 |  0.009955 |    0.4083 |
+#&gt; |.....................|     4.683 |    0.6306 |    0.8694 |     1.386 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.348 |   0.02147 |   0.05816 |    0.3967 |
+#&gt; |.....................|   -0.2833 |    0.1286 |   0.02562 |   -0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2380 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   46</span>|     752.09236 |    0.9886 |   -0.9793 |    -1.010 |    -1.032 |
+#&gt; |.....................|   -0.6277 |   -0.9815 |   -0.9176 |   -0.6746 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7858 |...........|...........|...........|</span>
+#&gt; |    U|     752.09236 |     86.01 |    -3.210 |    -4.610 |   -0.3715 |
+#&gt; |.....................|     4.683 |    0.6306 |    0.8695 |     1.387 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.09236</span> |     86.01 |   0.04036 |  0.009954 |    0.4082 |
+#&gt; |.....................|     4.683 |    0.6306 |    0.8695 |     1.387 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.1856 |   0.02378 |   0.05144 |    0.3902 |
+#&gt; |.....................|   -0.3147 |   0.08386 |   0.03545 |   -0.7433 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2408 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   47</span>|     752.09077 |    0.9890 |   -0.9793 |    -1.010 |    -1.033 |
+#&gt; |.....................|   -0.6269 |   -0.9817 |   -0.9177 |   -0.6729 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7852 |...........|...........|...........|</span>
+#&gt; |    U|     752.09077 |     86.04 |    -3.210 |    -4.610 |   -0.3717 |
+#&gt; |.....................|     4.684 |    0.6305 |    0.8694 |     1.389 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.09077</span> |     86.04 |   0.04036 |  0.009953 |    0.4081 |
+#&gt; |.....................|     4.684 |    0.6305 |    0.8694 |     1.389 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   48</span>|     752.08937 |    0.9892 |   -0.9795 |    -1.010 |    -1.036 |
+#&gt; |.....................|   -0.6267 |   -0.9818 |   -0.9176 |   -0.6714 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7852 |...........|...........|...........|</span>
+#&gt; |    U|     752.08937 |     86.06 |    -3.210 |    -4.610 |   -0.3725 |
+#&gt; |.....................|     4.685 |    0.6304 |    0.8695 |     1.391 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.08937</span> |     86.06 |   0.04036 |  0.009952 |    0.4079 |
+#&gt; |.....................|     4.685 |    0.6304 |    0.8695 |     1.391 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.945 |   0.01952 |   0.05064 |    0.3906 |
+#&gt; |.....................|   -0.1866 |    0.1233 |   0.03740 |   -0.6554 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2138 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   49</span>|     752.08593 |    0.9886 |   -0.9796 |    -1.010 |    -1.040 |
+#&gt; |.....................|   -0.6271 |   -0.9817 |   -0.9174 |   -0.6701 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7856 |...........|...........|...........|</span>
+#&gt; |    U|     752.08593 |     86.01 |    -3.210 |    -4.610 |   -0.3740 |
+#&gt; |.....................|     4.684 |    0.6305 |    0.8697 |     1.392 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.08593</span> |     86.01 |   0.04035 |  0.009951 |    0.4076 |
+#&gt; |.....................|     4.684 |    0.6305 |    0.8697 |     1.392 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |  -0.04707 |   0.02143 |   0.04311 |    0.3795 |
+#&gt; |.....................|   -0.2514 |   0.07631 |   0.05739 |   -0.6184 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2313 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   50</span>|     752.08243 |    0.9889 |   -0.9798 |    -1.010 |    -1.042 |
+#&gt; |.....................|   -0.6256 |   -0.9821 |   -0.9177 |   -0.6665 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7842 |...........|...........|...........|</span>
+#&gt; |    U|     752.08243 |     86.03 |    -3.210 |    -4.610 |   -0.3748 |
+#&gt; |.....................|     4.687 |    0.6302 |    0.8694 |     1.396 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.068 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.08243</span> |     86.03 |   0.04034 |  0.009949 |    0.4074 |
+#&gt; |.....................|     4.687 |    0.6302 |    0.8694 |     1.396 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.068 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   51</span>|     752.07616 |    0.9895 |   -0.9803 |    -1.011 |    -1.054 |
+#&gt; |.....................|   -0.6231 |   -0.9827 |   -0.9181 |   -0.6582 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7817 |...........|...........|...........|</span>
+#&gt; |    U|     752.07616 |     86.08 |    -3.211 |    -4.611 |   -0.3786 |
+#&gt; |.....................|     4.693 |    0.6298 |    0.8690 |     1.406 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.071 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.07616</span> |     86.08 |   0.04032 |  0.009942 |    0.4065 |
+#&gt; |.....................|     4.693 |    0.6298 |    0.8690 |     1.406 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.071 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     5.128 |   0.01286 |   0.03023 |    0.3726 |
+#&gt; |.....................|    0.2708 |   0.07184 |  -0.02487 |   -0.2959 |
+#&gt; <span style='text-decoration: underline;'>|.....................|  -0.03882 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   52</span>|     752.06706 |    0.9888 |   -0.9810 |    -1.011 |    -1.073 |
+#&gt; |.....................|   -0.6241 |   -0.9834 |   -0.9174 |   -0.6562 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7830 |...........|...........|...........|</span>
+#&gt; |    U|     752.06706 |     86.03 |    -3.212 |    -4.611 |   -0.3848 |
+#&gt; |.....................|     4.690 |    0.6293 |    0.8696 |     1.408 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.069 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.06706</span> |     86.03 |   0.04030 |  0.009938 |    0.4050 |
+#&gt; |.....................|     4.690 |    0.6293 |    0.8696 |     1.408 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.069 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   53</span>|     752.05726 |    0.9892 |   -0.9821 |    -1.012 |    -1.106 |
+#&gt; |.....................|   -0.6257 |   -0.9847 |   -0.9162 |   -0.6528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7853 |...........|...........|...........|</span>
+#&gt; |    U|     752.05726 |     86.06 |    -3.213 |    -4.612 |   -0.3958 |
+#&gt; |.....................|     4.687 |    0.6284 |    0.8707 |     1.412 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.05726</span> |     86.06 |   0.04025 |  0.009929 |    0.4023 |
+#&gt; |.....................|     4.687 |    0.6284 |    0.8707 |     1.412 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.067 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   54</span>|     752.04392 |    0.9898 |   -0.9854 |    -1.015 |    -1.200 |
+#&gt; |.....................|   -0.6305 |   -0.9883 |   -0.9128 |   -0.6430 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7918 |...........|...........|...........|</span>
+#&gt; |    U|     752.04392 |     86.11 |    -3.216 |    -4.615 |   -0.4269 |
+#&gt; |.....................|     4.677 |    0.6259 |    0.8738 |     1.423 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.061 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.04392</span> |     86.11 |   0.04012 |  0.009906 |    0.3949 |
+#&gt; |.....................|     4.677 |    0.6259 |    0.8738 |     1.423 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.061 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |     5.566 |  -0.02004 |   0.02472 |    0.1678 |
+#&gt; |.....................|   -0.6767 | -0.003606 |    0.4773 |   0.08205 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6933 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   55</span>|     752.05860 |    0.9880 |   -0.9900 |    -1.027 |    -1.486 |
+#&gt; |.....................|   -0.6186 |   -0.9338 |   -0.9168 |   -0.6653 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7443 |...........|...........|...........|</span>
+#&gt; |    U|      752.0586 |     85.96 |    -3.221 |    -4.627 |   -0.5212 |
+#&gt; |.....................|     4.702 |    0.6640 |    0.8702 |     1.398 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.107 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      752.0586</span> |     85.96 |   0.03993 |  0.009780 |    0.3726 |
+#&gt; |.....................|     4.702 |    0.6640 |    0.8702 |     1.398 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.107 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   56</span>|     752.02137 |    0.9885 |   -0.9874 |    -1.020 |    -1.325 |
+#&gt; |.....................|   -0.6252 |   -0.9645 |   -0.9146 |   -0.6528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7710 |...........|...........|...........|</span>
+#&gt; |    U|     752.02137 |     86.00 |    -3.218 |    -4.620 |   -0.4681 |
+#&gt; |.....................|     4.688 |    0.6425 |    0.8722 |     1.412 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.081 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.02137</span> |     86.00 |   0.04004 |  0.009850 |    0.3851 |
+#&gt; |.....................|     4.688 |    0.6425 |    0.8722 |     1.412 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.081 |...........|...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.728 |  -0.02729 |   0.08518 |   0.04185 |
+#&gt; |.....................|   -0.2367 |    0.4063 |    0.2432 |   0.01436 |
+#&gt; <span style='text-decoration: underline;'>|.....................|  -0.07563 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   57</span>|     752.06656 |    0.9886 |   -0.9792 |    -1.053 |    -1.433 |
+#&gt; |.....................|   -0.6165 |    -1.020 |   -0.9133 |   -0.6801 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7607 |...........|...........|...........|</span>
+#&gt; |    U|     752.06656 |     86.01 |    -3.210 |    -4.653 |   -0.5037 |
+#&gt; |.....................|     4.707 |    0.6037 |    0.8734 |     1.380 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.091 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.06656</span> |     86.01 |   0.04036 |  0.009533 |    0.3767 |
+#&gt; |.....................|     4.707 |    0.6037 |    0.8734 |     1.380 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.091 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   58</span>|     752.02137 |    0.9885 |   -0.9874 |    -1.020 |    -1.325 |
+#&gt; |.....................|   -0.6252 |   -0.9645 |   -0.9146 |   -0.6528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7710 |...........|...........|...........|</span>
+#&gt; |    U|     752.02137 |     86.00 |    -3.218 |    -4.620 |   -0.4681 |
+#&gt; |.....................|     4.688 |    0.6425 |    0.8722 |     1.412 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.081 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     752.02137</span> |     86.00 |   0.04004 |  0.009850 |    0.3851 |
+#&gt; |.....................|     4.688 |    0.6425 |    0.8722 |     1.412 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.081 |...........|...........|...........|</span>
+#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'><span class='va'>f_nlmixr_fomc_sfo_focei_const</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_const</span><span class='op'>[</span><span class='st'>"FOMC-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"
+#&gt; <span style='font-weight: bold;'>Key:</span> U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
+#&gt; F: Forward difference gradient approximation
+#&gt; C: Central difference gradient approximation
+#&gt; M: Mixed forward and central difference gradient approximation
+#&gt; Unscaled parameters for Omegas=chol(solve(omega));
+#&gt; Diagonals are transformed, as specified by foceiControl(diagXform=)
+#&gt; |-----+---------------+-----------+-----------+-----------+-----------|
+#&gt; |    #| Objective Fun |  parent_0 |  log_k_A1 |f_parent_qlogis | log_alpha |
+#&gt; |.....................|  log_beta |     sigma |        o1 |        o2 |
+#&gt; <span style='text-decoration: underline;'>|.....................|        o3 |        o4 |        o5 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>    1</span>|     494.78160 |     1.000 |    -1.000 |   -0.9115 |   -0.8954 |
+#&gt; |.....................|   -0.8491 |   -0.8592 |   -0.8761 |   -0.8740 |
+#&gt; |.....................|   -0.8674 |   -0.8694 |   -0.8683 |...........|
+#&gt; |    U|      494.7816 |     94.00 |    -5.400 |    -1.000 |   -0.2000 |
+#&gt; |.....................|     2.100 |     1.600 |    0.7598 |    0.8633 |
+#&gt; |.....................|     1.189 |     1.089 |     1.146 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>      494.7816</span> |     94.00 |  0.004517 |    0.2689 |    0.8187 |
+#&gt; |.....................|     8.166 |     1.600 |    0.7598 |    0.8633 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.189 |     1.089 |     1.146 |...........|</span>
+#&gt; |    G|    Gill Diff. |    -28.01 |     1.933 |   -0.2086 |   0.01492 |
+#&gt; |.....................|   -0.1687 |    -59.79 |     10.74 |     9.966 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -11.82 |    -8.862 |    -10.52 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>    2</span>|     1353.4477 |     1.400 |    -1.028 |   -0.9085 |   -0.8956 |
+#&gt; |.....................|   -0.8467 | -0.005584 |    -1.029 |    -1.016 |
+#&gt; |.....................|   -0.6987 |   -0.7429 |   -0.7181 |...........|
+#&gt; |    U|     1353.4477 |     131.6 |    -5.428 |   -0.9970 |   -0.2002 |
+#&gt; |.....................|     2.102 |     2.283 |    0.6433 |    0.7405 |
+#&gt; |.....................|     1.390 |     1.227 |     1.318 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     1353.4477</span> |     131.6 |  0.004394 |    0.2695 |    0.8186 |
+#&gt; |.....................|     8.186 |     2.283 |    0.6433 |    0.7405 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.390 |     1.227 |     1.318 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>    3</span>|     504.82409 |     1.040 |    -1.003 |   -0.9112 |   -0.8954 |
+#&gt; |.....................|   -0.8489 |   -0.7738 |   -0.8914 |   -0.8882 |
+#&gt; |.....................|   -0.8506 |   -0.8568 |   -0.8533 |...........|
+#&gt; |    U|     504.82409 |     97.76 |    -5.403 |   -0.9997 |   -0.2000 |
+#&gt; |.....................|     2.100 |     1.668 |    0.7482 |    0.8511 |
+#&gt; |.....................|     1.209 |     1.103 |     1.163 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     504.82409</span> |     97.76 |  0.004504 |    0.2690 |    0.8187 |
+#&gt; |.....................|     8.168 |     1.668 |    0.7482 |    0.8511 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.209 |     1.103 |     1.163 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>    4</span>|     494.10898 |     1.008 |    -1.001 |   -0.9114 |   -0.8954 |
+#&gt; |.....................|   -0.8490 |   -0.8416 |   -0.8792 |   -0.8769 |
+#&gt; |.....................|   -0.8640 |   -0.8668 |   -0.8652 |...........|
+#&gt; |    U|     494.10898 |     94.77 |    -5.401 |   -0.9999 |   -0.2000 |
+#&gt; |.....................|     2.100 |     1.614 |    0.7574 |    0.8608 |
+#&gt; |.....................|     1.193 |     1.092 |     1.149 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     494.10898</span> |     94.77 |  0.004514 |    0.2690 |    0.8187 |
+#&gt; |.....................|     8.167 |     1.614 |    0.7574 |    0.8608 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.193 |     1.092 |     1.149 |...........|</span>
+#&gt; |    F| Forward Diff. |     147.0 |     1.955 |  -0.08761 |   0.06834 |
+#&gt; |.....................|   0.05948 |    -55.61 |     11.89 |     8.304 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -12.01 |    -8.510 |    -10.24 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>    5</span>|     492.58255 |    0.9992 |    -1.001 |   -0.9114 |   -0.8954 |
+#&gt; |.....................|   -0.8490 |   -0.8245 |   -0.8825 |   -0.8797 |
+#&gt; |.....................|   -0.8605 |   -0.8643 |   -0.8621 |...........|
+#&gt; |    U|     492.58255 |     93.93 |    -5.401 |   -0.9999 |   -0.2000 |
+#&gt; |.....................|     2.100 |     1.628 |    0.7550 |    0.8584 |
+#&gt; |.....................|     1.197 |     1.095 |     1.153 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     492.58255</span> |     93.93 |  0.004511 |    0.2690 |    0.8187 |
+#&gt; |.....................|     8.167 |     1.628 |    0.7550 |    0.8584 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.197 |     1.095 |     1.153 |...........|</span>
+#&gt; |    F| Forward Diff. |    -43.22 |     1.882 |   -0.2206 | -0.004719 |
+#&gt; |.....................|   -0.1970 |    -51.78 |     10.22 |     6.620 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -11.81 |    -8.346 |    -10.04 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>    6</span>|     491.66702 |     1.006 |    -1.002 |   -0.9113 |   -0.8954 |
+#&gt; |.....................|   -0.8490 |   -0.8063 |   -0.8860 |   -0.8822 |
+#&gt; |.....................|   -0.8565 |   -0.8614 |   -0.8588 |...........|
+#&gt; |    U|     491.66702 |     94.52 |    -5.402 |   -0.9998 |   -0.2000 |
+#&gt; |.....................|     2.100 |     1.642 |    0.7523 |    0.8562 |
+#&gt; |.....................|     1.202 |     1.098 |     1.157 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     491.66702</span> |     94.52 |  0.004509 |    0.2690 |    0.8187 |
+#&gt; |.....................|     8.167 |     1.642 |    0.7523 |    0.8562 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.202 |     1.098 |     1.157 |...........|</span>
+#&gt; |    F| Forward Diff. |     87.79 |     1.893 |   -0.1269 |   0.04418 |
+#&gt; |.....................|  -0.01699 |    -47.85 |     10.34 |     7.758 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -11.67 |    -8.213 |    -9.916 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>    7</span>|     490.57489 |    0.9987 |    -1.002 |   -0.9112 |   -0.8954 |
+#&gt; |.....................|   -0.8489 |   -0.7885 |   -0.8895 |   -0.8851 |
+#&gt; |.....................|   -0.8525 |   -0.8586 |   -0.8553 |...........|
+#&gt; |    U|     490.57489 |     93.88 |    -5.402 |   -0.9998 |   -0.2000 |
+#&gt; |.....................|     2.100 |     1.657 |    0.7496 |    0.8537 |
+#&gt; |.....................|     1.207 |     1.101 |     1.161 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     490.57489</span> |     93.88 |  0.004506 |    0.2690 |    0.8187 |
+#&gt; |.....................|     8.168 |     1.657 |    0.7496 |    0.8537 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.207 |     1.101 |     1.161 |...........|</span>
+#&gt; |    F| Forward Diff. |    -52.56 |     1.834 |   -0.2285 |  -0.01046 |
+#&gt; |.....................|   -0.2159 |    -44.44 |     9.379 |     7.248 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -11.47 |    -8.044 |    -9.710 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>    8</span>|     489.67804 |     1.004 |    -1.003 |   -0.9112 |   -0.8954 |
+#&gt; |.....................|   -0.8489 |   -0.7706 |   -0.8932 |   -0.8884 |
+#&gt; |.....................|   -0.8482 |   -0.8554 |   -0.8516 |...........|
+#&gt; |    U|     489.67804 |     94.42 |    -5.403 |   -0.9997 |   -0.2000 |
+#&gt; |.....................|     2.100 |     1.671 |    0.7468 |    0.8509 |
+#&gt; |.....................|     1.212 |     1.105 |     1.165 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     489.67804</span> |     94.42 |  0.004503 |    0.2690 |    0.8187 |
+#&gt; |.....................|     8.168 |     1.671 |    0.7468 |    0.8509 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.212 |     1.105 |     1.165 |...........|</span>
+#&gt; |    F| Forward Diff. |     63.10 |     1.841 |   -0.1396 |   0.03713 |
+#&gt; |.....................|  -0.05177 |    -40.65 |     9.345 |     6.018 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -11.29 |    -7.879 |    -9.567 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>    9</span>|     488.80457 |    0.9984 |    -1.004 |   -0.9111 |   -0.8954 |
+#&gt; |.....................|   -0.8488 |   -0.7529 |   -0.8970 |   -0.8913 |
+#&gt; |.....................|   -0.8435 |   -0.8521 |   -0.8475 |...........|
+#&gt; |    U|     488.80457 |     93.85 |    -5.404 |   -0.9996 |   -0.2000 |
+#&gt; |.....................|     2.100 |     1.685 |    0.7439 |    0.8484 |
+#&gt; |.....................|     1.218 |     1.108 |     1.170 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     488.80457</span> |     93.85 |  0.004499 |    0.2690 |    0.8187 |
+#&gt; |.....................|     8.168 |     1.685 |    0.7439 |    0.8484 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.218 |     1.108 |     1.170 |...........|</span>
+#&gt; |    F| Forward Diff. |    -56.52 |     1.788 |   -0.2313 |  -0.01570 |
+#&gt; |.....................|   -0.2287 |    -37.43 |     8.740 |     5.512 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -11.08 |    -7.680 |    -9.353 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   10</span>|     487.98244 |     1.004 |    -1.005 |   -0.9110 |   -0.8954 |
+#&gt; |.....................|   -0.8487 |   -0.7356 |   -0.9012 |   -0.8939 |
+#&gt; |.....................|   -0.8380 |   -0.8482 |   -0.8428 |...........|
+#&gt; |    U|     487.98244 |     94.36 |    -5.405 |   -0.9995 |   -0.2000 |
+#&gt; |.....................|     2.100 |     1.699 |    0.7407 |    0.8461 |
+#&gt; |.....................|     1.224 |     1.112 |     1.175 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     487.98244</span> |     94.36 |  0.004495 |    0.2690 |    0.8187 |
+#&gt; |.....................|     8.169 |     1.699 |    0.7407 |    0.8461 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.224 |     1.112 |     1.175 |...........|</span>
+#&gt; |    F| Forward Diff. |     49.57 |     1.794 |   -0.1466 |   0.03517 |
+#&gt; |.....................|  -0.07178 |    -34.12 |     8.494 |     6.684 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -10.82 |    -7.482 |    -9.140 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   11</span>|     487.23587 |    0.9987 |    -1.006 |   -0.9109 |   -0.8954 |
+#&gt; |.....................|   -0.8487 |   -0.7192 |   -0.9058 |   -0.8980 |
+#&gt; |.....................|   -0.8316 |   -0.8438 |   -0.8374 |...........|
+#&gt; |    U|     487.23587 |     93.88 |    -5.406 |   -0.9994 |   -0.2001 |
+#&gt; |.....................|     2.100 |     1.712 |    0.7372 |    0.8426 |
+#&gt; |.....................|     1.232 |     1.117 |     1.181 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     487.23587</span> |     93.88 |  0.004490 |    0.2691 |    0.8187 |
+#&gt; |.....................|     8.170 |     1.712 |    0.7372 |    0.8426 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.232 |     1.117 |     1.181 |...........|</span>
+#&gt; |    F| Forward Diff. |    -49.22 |     1.745 |   -0.2274 | -0.009194 |
+#&gt; |.....................|   -0.2301 |    -31.48 |     7.992 |     6.132 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -10.64 |    -7.269 |    -8.903 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   12</span>|     486.53337 |     1.004 |    -1.007 |   -0.9107 |   -0.8954 |
+#&gt; |.....................|   -0.8485 |   -0.7047 |   -0.9109 |   -0.9037 |
+#&gt; |.....................|   -0.8240 |   -0.8386 |   -0.8310 |...........|
+#&gt; |    U|     486.53337 |     94.34 |    -5.407 |   -0.9993 |   -0.2001 |
+#&gt; |.....................|     2.101 |     1.724 |    0.7334 |    0.8376 |
+#&gt; |.....................|     1.241 |     1.123 |     1.189 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     486.53337</span> |     94.34 |  0.004484 |    0.2691 |    0.8187 |
+#&gt; |.....................|     8.171 |     1.724 |    0.7334 |    0.8376 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.241 |     1.123 |     1.189 |...........|</span>
+#&gt; |    F| Forward Diff. |     43.47 |     1.742 |   -0.1424 |   0.02918 |
+#&gt; |.....................|  -0.07089 |    -28.76 |     7.629 |     4.806 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -10.24 |    -6.953 |    -8.584 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   13</span>|     485.91669 |    0.9989 |    -1.009 |   -0.9105 |   -0.8955 |
+#&gt; |.....................|   -0.8484 |   -0.6920 |   -0.9165 |   -0.9072 |
+#&gt; |.....................|   -0.8145 |   -0.8325 |   -0.8231 |...........|
+#&gt; |    U|     485.91669 |     93.90 |    -5.409 |   -0.9991 |   -0.2001 |
+#&gt; |.....................|     2.101 |     1.734 |    0.7291 |    0.8346 |
+#&gt; |.....................|     1.252 |     1.130 |     1.198 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     485.91669</span> |     93.90 |  0.004476 |    0.2691 |    0.8187 |
+#&gt; |.....................|     8.172 |     1.734 |    0.7291 |    0.8346 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.252 |     1.130 |     1.198 |...........|</span>
+#&gt; |    F| Forward Diff. |    -44.30 |     1.699 |   -0.2182 |  0.001936 |
+#&gt; |.....................|   -0.2284 |    -26.86 |     7.286 |     5.487 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -9.898 |    -6.659 |    -8.234 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   14</span>|     485.33976 |     1.003 |    -1.011 |   -0.9103 |   -0.8955 |
+#&gt; |.....................|   -0.8481 |   -0.6819 |   -0.9228 |   -0.9110 |
+#&gt; |.....................|   -0.8035 |   -0.8257 |   -0.8143 |...........|
+#&gt; |    U|     485.33976 |     94.29 |    -5.411 |   -0.9988 |   -0.2001 |
+#&gt; |.....................|     2.101 |     1.742 |    0.7243 |    0.8314 |
+#&gt; |.....................|     1.265 |     1.137 |     1.208 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     485.33976</span> |     94.29 |  0.004467 |    0.2692 |    0.8186 |
+#&gt; |.....................|     8.174 |     1.742 |    0.7243 |    0.8314 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.265 |     1.137 |     1.208 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   15</span>|     484.77317 |     1.003 |    -1.014 |   -0.9100 |   -0.8956 |
+#&gt; |.....................|   -0.8479 |   -0.6718 |   -0.9302 |   -0.9153 |
+#&gt; |.....................|   -0.7902 |   -0.8175 |   -0.8035 |...........|
+#&gt; |    U|     484.77317 |     94.32 |    -5.414 |   -0.9986 |   -0.2002 |
+#&gt; |.....................|     2.101 |     1.750 |    0.7187 |    0.8276 |
+#&gt; |.....................|     1.281 |     1.146 |     1.220 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     484.77317</span> |     94.32 |  0.004455 |    0.2692 |    0.8186 |
+#&gt; |.....................|     8.176 |     1.750 |    0.7187 |    0.8276 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.281 |     1.146 |     1.220 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   16</span>|     483.17588 |     1.004 |    -1.023 |   -0.9091 |   -0.8958 |
+#&gt; |.....................|   -0.8469 |   -0.6384 |   -0.9549 |   -0.9296 |
+#&gt; |.....................|   -0.7463 |   -0.7903 |   -0.7681 |...........|
+#&gt; |    U|     483.17588 |     94.41 |    -5.423 |   -0.9976 |   -0.2004 |
+#&gt; |.....................|     2.102 |     1.777 |    0.6999 |    0.8153 |
+#&gt; |.....................|     1.333 |     1.176 |     1.261 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     483.17588</span> |     94.41 |  0.004415 |    0.2694 |    0.8184 |
+#&gt; |.....................|     8.184 |     1.777 |    0.6999 |    0.8153 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.333 |     1.176 |     1.261 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   17</span>|     481.21481 |     1.006 |    -1.040 |   -0.9072 |   -0.8961 |
+#&gt; |.....................|   -0.8451 |   -0.5721 |    -1.004 |   -0.9579 |
+#&gt; |.....................|   -0.6592 |   -0.7365 |   -0.6977 |...........|
+#&gt; |    U|     481.21481 |     94.58 |    -5.440 |   -0.9958 |   -0.2008 |
+#&gt; |.....................|     2.104 |     1.830 |    0.6628 |    0.7909 |
+#&gt; |.....................|     1.437 |     1.234 |     1.341 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     481.21481</span> |     94.58 |  0.004338 |    0.2698 |    0.8181 |
+#&gt; |.....................|     8.199 |     1.830 |    0.6628 |    0.7909 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.437 |     1.234 |     1.341 |...........|</span>
+#&gt; |    F| Forward Diff. |     62.86 |     1.476 |   0.06730 |   0.05792 |
+#&gt; |.....................|    0.1123 |    -8.977 |     1.055 |     2.914 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -3.044 |    -1.094 |    -2.299 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   18</span>|     481.29476 |     1.000 |    -1.145 |   -0.9129 |   -0.8997 |
+#&gt; |.....................|   -0.8485 |   -0.5378 |   -0.8985 |    -1.168 |
+#&gt; |.....................|   -0.6228 |   -0.8149 |   -0.6969 |...........|
+#&gt; |    U|     481.29476 |     94.03 |    -5.545 |    -1.001 |   -0.2043 |
+#&gt; |.....................|     2.101 |     1.857 |    0.7428 |    0.6099 |
+#&gt; |.....................|     1.480 |     1.149 |     1.342 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     481.29476</span> |     94.03 |  0.003907 |    0.2687 |    0.8152 |
+#&gt; |.....................|     8.171 |     1.857 |    0.7428 |    0.6099 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.480 |     1.149 |     1.342 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   19</span>|     480.77138 |     1.000 |    -1.090 |   -0.9099 |   -0.8978 |
+#&gt; |.....................|   -0.8467 |   -0.5555 |   -0.9542 |    -1.057 |
+#&gt; |.....................|   -0.6419 |   -0.7733 |   -0.6972 |...........|
+#&gt; |    U|     480.77138 |     94.01 |    -5.490 |   -0.9984 |   -0.2025 |
+#&gt; |.....................|     2.102 |     1.843 |    0.7004 |    0.7055 |
+#&gt; |.....................|     1.457 |     1.194 |     1.342 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.77138</span> |     94.01 |  0.004129 |    0.2693 |    0.8167 |
+#&gt; |.....................|     8.186 |     1.843 |    0.7004 |    0.7055 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.457 |     1.194 |     1.342 |...........|</span>
+#&gt; |    F| Forward Diff. |    -25.72 |     1.151 |   0.08772 | -0.007897 |
+#&gt; |.....................|  -0.07232 |    -6.930 |     3.330 |    -2.491 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -2.626 |    -3.111 |    -2.500 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   20</span>|     480.61717 |     1.001 |    -1.203 |   -0.9227 |   -0.9002 |
+#&gt; |.....................|   -0.8503 |   -0.5418 |   -0.9405 |    -1.001 |
+#&gt; |.....................|   -0.6281 |   -0.7705 |   -0.6908 |...........|
+#&gt; |    U|     480.61717 |     94.09 |    -5.603 |    -1.011 |   -0.2049 |
+#&gt; |.....................|     2.099 |     1.854 |    0.7108 |    0.7537 |
+#&gt; |.....................|     1.474 |     1.197 |     1.349 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.61717</span> |     94.09 |  0.003688 |    0.2667 |    0.8147 |
+#&gt; |.....................|     8.156 |     1.854 |    0.7108 |    0.7537 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.474 |     1.197 |     1.349 |...........|</span>
+#&gt; |    F| Forward Diff. |    -10.61 |    0.9224 |   -0.5881 |  -0.06621 |
+#&gt; |.....................|   -0.1838 |    -5.929 |     3.775 |     2.798 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.936 |    -2.993 |    -2.208 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   21</span>|     480.72130 |     1.009 |    -1.314 |   -0.9169 |   -0.9003 |
+#&gt; |.....................|   -0.8494 |   -0.5516 |   -0.9873 |    -1.003 |
+#&gt; |.....................|   -0.6340 |   -0.7292 |   -0.6819 |...........|
+#&gt; |    U|      480.7213 |     94.81 |    -5.714 |    -1.005 |   -0.2049 |
+#&gt; |.....................|     2.100 |     1.846 |    0.6753 |    0.7523 |
+#&gt; |.....................|     1.467 |     1.242 |     1.359 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>      480.7213</span> |     94.81 |  0.003299 |    0.2679 |    0.8147 |
+#&gt; |.....................|     8.163 |     1.846 |    0.6753 |    0.7523 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.467 |     1.242 |     1.359 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   22</span>|     480.86254 |     1.009 |    -1.247 |   -0.9202 |   -0.9002 |
+#&gt; |.....................|   -0.8499 |   -0.5429 |   -0.9605 |    -1.003 |
+#&gt; |.....................|   -0.6295 |   -0.7530 |   -0.6863 |...........|
+#&gt; |    U|     480.86254 |     94.84 |    -5.647 |    -1.009 |   -0.2048 |
+#&gt; |.....................|     2.099 |     1.853 |    0.6957 |    0.7520 |
+#&gt; |.....................|     1.472 |     1.216 |     1.354 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.86254</span> |     94.84 |  0.003530 |    0.2672 |    0.8148 |
+#&gt; |.....................|     8.160 |     1.853 |    0.6957 |    0.7520 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.472 |     1.216 |     1.354 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   23</span>|     480.98412 |     1.009 |    -1.209 |   -0.9220 |   -0.9002 |
+#&gt; |.....................|   -0.8501 |   -0.5381 |   -0.9458 |    -1.003 |
+#&gt; |.....................|   -0.6270 |   -0.7661 |   -0.6887 |...........|
+#&gt; |    U|     480.98412 |     94.85 |    -5.609 |    -1.010 |   -0.2048 |
+#&gt; |.....................|     2.099 |     1.857 |    0.7069 |    0.7519 |
+#&gt; |.....................|     1.475 |     1.202 |     1.352 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.98412</span> |     94.85 |  0.003664 |    0.2669 |    0.8148 |
+#&gt; |.....................|     8.158 |     1.857 |    0.7069 |    0.7519 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.475 |     1.202 |     1.352 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   24</span>|     480.60990 |     1.003 |    -1.203 |   -0.9226 |   -0.9002 |
+#&gt; |.....................|   -0.8503 |   -0.5410 |   -0.9411 |    -1.001 |
+#&gt; |.....................|   -0.6278 |   -0.7701 |   -0.6905 |...........|
+#&gt; |    U|      480.6099 |     94.24 |    -5.603 |    -1.011 |   -0.2049 |
+#&gt; |.....................|     2.099 |     1.855 |    0.7104 |    0.7534 |
+#&gt; |.....................|     1.474 |     1.198 |     1.350 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>      480.6099</span> |     94.24 |  0.003688 |    0.2668 |    0.8148 |
+#&gt; |.....................|     8.156 |     1.855 |    0.7104 |    0.7534 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.474 |     1.198 |     1.350 |...........|</span>
+#&gt; |    F| Forward Diff. |     15.29 |    0.9278 |   -0.5289 |  -0.04762 |
+#&gt; |.....................|   -0.1043 |    -5.468 |     3.876 |    0.6273 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.897 |    -2.941 |    -2.183 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   25</span>|     480.59557 |     1.001 |    -1.204 |   -0.9225 |   -0.9002 |
+#&gt; |.....................|   -0.8503 |   -0.5407 |   -0.9419 |    -1.001 |
+#&gt; |.....................|   -0.6277 |   -0.7694 |   -0.6902 |...........|
+#&gt; |    U|     480.59557 |     94.13 |    -5.604 |    -1.011 |   -0.2049 |
+#&gt; |.....................|     2.099 |     1.855 |    0.7098 |    0.7533 |
+#&gt; |.....................|     1.474 |     1.198 |     1.350 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.59557</span> |     94.13 |  0.003683 |    0.2668 |    0.8148 |
+#&gt; |.....................|     8.157 |     1.855 |    0.7098 |    0.7533 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.474 |     1.198 |     1.350 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.733 |    0.9212 |   -0.5619 |  -0.05855 |
+#&gt; |.....................|   -0.1664 |    -5.388 |     3.833 |    0.5854 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.924 |    -2.927 |    -2.102 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   26</span>|     480.58581 |     1.002 |    -1.204 |   -0.9224 |   -0.9002 |
+#&gt; |.....................|   -0.8502 |   -0.5395 |   -0.9428 |    -1.002 |
+#&gt; |.....................|   -0.6273 |   -0.7688 |   -0.6897 |...........|
+#&gt; |    U|     480.58581 |     94.23 |    -5.604 |    -1.011 |   -0.2048 |
+#&gt; |.....................|     2.099 |     1.856 |    0.7092 |    0.7532 |
+#&gt; |.....................|     1.475 |     1.199 |     1.351 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.58581</span> |     94.23 |  0.003683 |    0.2668 |    0.8148 |
+#&gt; |.....................|     8.157 |     1.856 |    0.7092 |    0.7532 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.475 |     1.199 |     1.351 |...........|</span>
+#&gt; |    F| Forward Diff. |     12.31 |    0.9226 |   -0.5246 |  -0.05019 |
+#&gt; |.....................|   -0.1134 |    -5.293 |     3.771 |    0.5822 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.938 |    -2.904 |    -2.175 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   27</span>|     480.57360 |     1.001 |    -1.205 |   -0.9222 |   -0.9002 |
+#&gt; |.....................|   -0.8502 |   -0.5392 |   -0.9437 |    -1.002 |
+#&gt; |.....................|   -0.6271 |   -0.7681 |   -0.6894 |...........|
+#&gt; |    U|      480.5736 |     94.13 |    -5.605 |    -1.011 |   -0.2048 |
+#&gt; |.....................|     2.099 |     1.856 |    0.7085 |    0.7532 |
+#&gt; |.....................|     1.475 |     1.200 |     1.351 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>      480.5736</span> |     94.13 |  0.003678 |    0.2668 |    0.8148 |
+#&gt; |.....................|     8.157 |     1.856 |    0.7085 |    0.7532 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.475 |     1.200 |     1.351 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.864 |    0.9151 |   -0.5515 |  -0.06112 |
+#&gt; |.....................|   -0.1679 |    -5.184 |     3.617 |    0.5746 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.832 |    -2.849 |    -2.141 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   28</span>|     480.56429 |     1.002 |    -1.206 |   -0.9220 |   -0.9002 |
+#&gt; |.....................|   -0.8502 |   -0.5382 |   -0.9446 |    -1.002 |
+#&gt; |.....................|   -0.6268 |   -0.7674 |   -0.6889 |...........|
+#&gt; |    U|     480.56429 |     94.23 |    -5.606 |    -1.011 |   -0.2048 |
+#&gt; |.....................|     2.099 |     1.857 |    0.7078 |    0.7531 |
+#&gt; |.....................|     1.475 |     1.201 |     1.351 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.56429</span> |     94.23 |  0.003676 |    0.2669 |    0.8148 |
+#&gt; |.....................|     8.158 |     1.857 |    0.7078 |    0.7531 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.475 |     1.201 |     1.351 |...........|</span>
+#&gt; |    F| Forward Diff. |     12.18 |    0.9169 |   -0.5105 |  -0.05061 |
+#&gt; |.....................|   -0.1125 |    -5.131 |     3.532 |    0.5638 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.931 |    -2.821 |    -2.132 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   29</span>|     480.55246 |     1.001 |    -1.207 |   -0.9218 |   -0.9002 |
+#&gt; |.....................|   -0.8501 |   -0.5380 |   -0.9454 |    -1.002 |
+#&gt; |.....................|   -0.6266 |   -0.7667 |   -0.6886 |...........|
+#&gt; |    U|     480.55246 |     94.13 |    -5.607 |    -1.010 |   -0.2048 |
+#&gt; |.....................|     2.099 |     1.857 |    0.7071 |    0.7532 |
+#&gt; |.....................|     1.476 |     1.201 |     1.352 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.55246</span> |     94.13 |  0.003672 |    0.2669 |    0.8148 |
+#&gt; |.....................|     8.158 |     1.857 |    0.7071 |    0.7532 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.476 |     1.201 |     1.352 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.480 |    0.9098 |   -0.5353 |  -0.06055 |
+#&gt; |.....................|   -0.1647 |    -5.053 |     3.625 |    0.5654 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.860 |    -2.782 |    -2.112 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   30</span>|     480.54335 |     1.002 |    -1.207 |   -0.9217 |   -0.9002 |
+#&gt; |.....................|   -0.8501 |   -0.5368 |   -0.9463 |    -1.002 |
+#&gt; |.....................|   -0.6262 |   -0.7660 |   -0.6881 |...........|
+#&gt; |    U|     480.54335 |     94.23 |    -5.607 |    -1.010 |   -0.2048 |
+#&gt; |.....................|     2.099 |     1.858 |    0.7065 |    0.7530 |
+#&gt; |.....................|     1.476 |     1.202 |     1.352 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.54335</span> |     94.23 |  0.003671 |    0.2669 |    0.8148 |
+#&gt; |.....................|     8.158 |     1.858 |    0.7065 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.476 |     1.202 |     1.352 |...........|</span>
+#&gt; |    F| Forward Diff. |     12.09 |    0.9120 |   -0.4955 |  -0.05014 |
+#&gt; |.....................|   -0.1107 |    -4.912 |     3.583 |    0.5835 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.814 |    -2.702 |    -2.057 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   31</span>|     480.53185 |     1.001 |    -1.209 |   -0.9215 |   -0.9002 |
+#&gt; |.....................|   -0.8500 |   -0.5366 |   -0.9472 |    -1.002 |
+#&gt; |.....................|   -0.6260 |   -0.7654 |   -0.6878 |...........|
+#&gt; |    U|     480.53185 |     94.13 |    -5.609 |    -1.010 |   -0.2048 |
+#&gt; |.....................|     2.099 |     1.858 |    0.7058 |    0.7531 |
+#&gt; |.....................|     1.476 |     1.203 |     1.353 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.53185</span> |     94.13 |  0.003666 |    0.2670 |    0.8148 |
+#&gt; |.....................|     8.158 |     1.858 |    0.7058 |    0.7531 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.476 |     1.203 |     1.353 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.509 |    0.9048 |   -0.5214 |  -0.06027 |
+#&gt; |.....................|   -0.1665 |    -4.870 |     3.525 |    0.5641 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.813 |    -2.699 |    -2.069 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   32</span>|     480.52276 |     1.002 |    -1.209 |   -0.9214 |   -0.9001 |
+#&gt; |.....................|   -0.8500 |   -0.5356 |   -0.9481 |    -1.002 |
+#&gt; |.....................|   -0.6256 |   -0.7647 |   -0.6873 |...........|
+#&gt; |    U|     480.52276 |     94.22 |    -5.609 |    -1.010 |   -0.2048 |
+#&gt; |.....................|     2.099 |     1.859 |    0.7051 |    0.7530 |
+#&gt; |.....................|     1.477 |     1.203 |     1.353 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.52276</span> |     94.22 |  0.003664 |    0.2670 |    0.8148 |
+#&gt; |.....................|     8.159 |     1.859 |    0.7051 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.477 |     1.203 |     1.353 |...........|</span>
+#&gt; |    F| Forward Diff. |     11.38 |    0.9060 |   -0.4821 |  -0.05014 |
+#&gt; |.....................|   -0.1110 |    -4.747 |     3.479 |    0.5798 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.777 |    -2.636 |    -2.020 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   33</span>|     480.51194 |     1.001 |    -1.211 |   -0.9212 |   -0.9001 |
+#&gt; |.....................|   -0.8500 |   -0.5355 |   -0.9490 |    -1.002 |
+#&gt; |.....................|   -0.6255 |   -0.7641 |   -0.6869 |...........|
+#&gt; |    U|     480.51194 |     94.13 |    -5.611 |    -1.010 |   -0.2048 |
+#&gt; |.....................|     2.099 |     1.859 |    0.7044 |    0.7530 |
+#&gt; |.....................|     1.477 |     1.204 |     1.354 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.51194</span> |     94.13 |  0.003659 |    0.2670 |    0.8148 |
+#&gt; |.....................|     8.159 |     1.859 |    0.7044 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.477 |     1.204 |     1.354 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.485 |    0.8991 |   -0.5064 |  -0.06148 |
+#&gt; |.....................|   -0.1643 |    -4.758 |     3.403 |    0.5432 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.772 |    -2.633 |    -2.022 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   34</span>|     480.50302 |     1.002 |    -1.211 |   -0.9210 |   -0.9001 |
+#&gt; |.....................|   -0.8499 |   -0.5345 |   -0.9500 |    -1.002 |
+#&gt; |.....................|   -0.6251 |   -0.7633 |   -0.6864 |...........|
+#&gt; |    U|     480.50302 |     94.22 |    -5.611 |    -1.010 |   -0.2047 |
+#&gt; |.....................|     2.099 |     1.860 |    0.7037 |    0.7529 |
+#&gt; |.....................|     1.477 |     1.205 |     1.354 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.50302</span> |     94.22 |  0.003656 |    0.2671 |    0.8149 |
+#&gt; |.....................|     8.159 |     1.860 |    0.7037 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.477 |     1.205 |     1.354 |...........|</span>
+#&gt; |    F| Forward Diff. |     10.83 |    0.8997 |   -0.4680 |  -0.05021 |
+#&gt; |.....................|   -0.1106 |    -4.703 |     3.332 |    0.5674 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.765 |    -2.559 |    -1.986 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   35</span>|     480.49281 |     1.001 |    -1.213 |   -0.9209 |   -0.9001 |
+#&gt; |.....................|   -0.8499 |   -0.5344 |   -0.9509 |    -1.002 |
+#&gt; |.....................|   -0.6250 |   -0.7627 |   -0.6860 |...........|
+#&gt; |    U|     480.49281 |     94.13 |    -5.613 |    -1.009 |   -0.2047 |
+#&gt; |.....................|     2.099 |     1.860 |    0.7030 |    0.7529 |
+#&gt; |.....................|     1.478 |     1.206 |     1.355 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.49281</span> |     94.13 |  0.003652 |    0.2671 |    0.8149 |
+#&gt; |.....................|     8.160 |     1.860 |    0.7030 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.478 |     1.206 |     1.355 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.447 |    0.8934 |   -0.4900 |  -0.06030 |
+#&gt; |.....................|   -0.1577 |    -4.708 |     3.266 |    0.5080 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.782 |    -2.544 |    -1.983 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   36</span>|     480.48415 |     1.002 |    -1.213 |   -0.9207 |   -0.9001 |
+#&gt; |.....................|   -0.8498 |   -0.5335 |   -0.9518 |    -1.002 |
+#&gt; |.....................|   -0.6246 |   -0.7620 |   -0.6855 |...........|
+#&gt; |    U|     480.48415 |     94.22 |    -5.613 |    -1.009 |   -0.2047 |
+#&gt; |.....................|     2.099 |     1.861 |    0.7023 |    0.7528 |
+#&gt; |.....................|     1.478 |     1.206 |     1.355 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.48415</span> |     94.22 |  0.003649 |    0.2671 |    0.8149 |
+#&gt; |.....................|     8.160 |     1.861 |    0.7023 |    0.7528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.478 |     1.206 |     1.355 |...........|</span>
+#&gt; |    F| Forward Diff. |     10.47 |    0.8932 |   -0.4526 |  -0.04997 |
+#&gt; |.....................|   -0.1093 |    -4.502 |     3.250 |    0.5653 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.769 |    -2.486 |    -1.944 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   37</span>|     480.47437 |     1.001 |    -1.215 |   -0.9205 |   -0.9001 |
+#&gt; |.....................|   -0.8498 |   -0.5334 |   -0.9527 |    -1.002 |
+#&gt; |.....................|   -0.6244 |   -0.7613 |   -0.6852 |...........|
+#&gt; |    U|     480.47437 |     94.13 |    -5.615 |    -1.009 |   -0.2047 |
+#&gt; |.....................|     2.099 |     1.861 |    0.7016 |    0.7528 |
+#&gt; |.....................|     1.478 |     1.207 |     1.356 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.47437</span> |     94.13 |  0.003644 |    0.2672 |    0.8149 |
+#&gt; |.....................|     8.161 |     1.861 |    0.7016 |    0.7528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.478 |     1.207 |     1.356 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.431 |    0.8869 |   -0.4735 |  -0.05983 |
+#&gt; |.....................|   -0.1554 |    -4.492 |     3.189 |   -0.6996 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.700 |    -2.467 |    -1.937 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   38</span>|     480.46651 |     1.002 |    -1.216 |   -0.9203 |   -0.9000 |
+#&gt; |.....................|   -0.8497 |   -0.5326 |   -0.9537 |    -1.002 |
+#&gt; |.....................|   -0.6240 |   -0.7606 |   -0.6847 |...........|
+#&gt; |    U|     480.46651 |     94.21 |    -5.616 |    -1.009 |   -0.2047 |
+#&gt; |.....................|     2.099 |     1.861 |    0.7009 |    0.7530 |
+#&gt; |.....................|     1.479 |     1.208 |     1.356 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.46651</span> |     94.21 |  0.003640 |    0.2672 |    0.8149 |
+#&gt; |.....................|     8.161 |     1.861 |    0.7009 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.479 |     1.208 |     1.356 |...........|</span>
+#&gt; |    F| Forward Diff. |     9.502 |    0.8860 |   -0.4381 |  -0.05035 |
+#&gt; |.....................|   -0.1103 |    -4.453 |     3.114 |    0.5384 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.770 |    -2.407 |    -1.897 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   39</span>|     480.45755 |     1.001 |    -1.217 |   -0.9200 |   -0.9000 |
+#&gt; |.....................|   -0.8497 |   -0.5325 |   -0.9546 |    -1.002 |
+#&gt; |.....................|   -0.6238 |   -0.7600 |   -0.6843 |...........|
+#&gt; |    U|     480.45755 |     94.13 |    -5.617 |    -1.009 |   -0.2047 |
+#&gt; |.....................|     2.099 |     1.861 |    0.7002 |    0.7530 |
+#&gt; |.....................|     1.479 |     1.209 |     1.357 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.45755</span> |     94.13 |  0.003635 |    0.2673 |    0.8149 |
+#&gt; |.....................|     8.162 |     1.861 |    0.7002 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.479 |     1.209 |     1.357 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.779 |    0.8798 |   -0.4544 |  -0.05816 |
+#&gt; |.....................|   -0.1541 |    -4.432 |     3.060 |    0.5236 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.719 |    -2.365 |    -1.874 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   40</span>|     480.44943 |     1.002 |    -1.218 |   -0.9199 |   -0.9000 |
+#&gt; |.....................|   -0.8496 |   -0.5319 |   -0.9555 |    -1.002 |
+#&gt; |.....................|   -0.6235 |   -0.7592 |   -0.6838 |...........|
+#&gt; |    U|     480.44943 |     94.21 |    -5.618 |    -1.008 |   -0.2046 |
+#&gt; |.....................|     2.099 |     1.862 |    0.6995 |    0.7529 |
+#&gt; |.....................|     1.479 |     1.209 |     1.357 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.44943</span> |     94.21 |  0.003631 |    0.2673 |    0.8149 |
+#&gt; |.....................|     8.162 |     1.862 |    0.6995 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.479 |     1.209 |     1.357 |...........|</span>
+#&gt; |    F| Forward Diff. |     8.806 |    0.8785 |   -0.4202 |  -0.05024 |
+#&gt; |.....................|   -0.1124 |    -4.289 |     3.039 |    0.5974 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.651 |    -2.322 |    -1.843 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   41</span>|     480.44100 |     1.001 |    -1.220 |   -0.9197 |   -0.9000 |
+#&gt; |.....................|   -0.8496 |   -0.5318 |   -0.9564 |    -1.002 |
+#&gt; |.....................|   -0.6233 |   -0.7586 |   -0.6835 |...........|
+#&gt; |    U|       480.441 |     94.13 |    -5.620 |    -1.008 |   -0.2046 |
+#&gt; |.....................|     2.100 |     1.862 |    0.6988 |    0.7529 |
+#&gt; |.....................|     1.480 |     1.210 |     1.358 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>       480.441</span> |     94.13 |  0.003626 |    0.2673 |    0.8150 |
+#&gt; |.....................|     8.162 |     1.862 |    0.6988 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.480 |     1.210 |     1.358 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.662 |    0.8724 |   -0.4382 |  -0.05735 |
+#&gt; |.....................|   -0.1541 |    -4.192 |     3.008 |    0.5718 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.633 |    -2.283 |    -1.828 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   42</span>|     480.43316 |     1.002 |    -1.221 |   -0.9195 |   -0.9000 |
+#&gt; |.....................|   -0.8495 |   -0.5313 |   -0.9573 |    -1.002 |
+#&gt; |.....................|   -0.6230 |   -0.7579 |   -0.6830 |...........|
+#&gt; |    U|     480.43316 |     94.21 |    -5.621 |    -1.008 |   -0.2046 |
+#&gt; |.....................|     2.100 |     1.862 |    0.6981 |    0.7529 |
+#&gt; |.....................|     1.480 |     1.211 |     1.358 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.43316</span> |     94.21 |  0.003622 |    0.2674 |    0.8150 |
+#&gt; |.....................|     8.163 |     1.862 |    0.6981 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.480 |     1.211 |     1.358 |...........|</span>
+#&gt; |    F| Forward Diff. |     8.374 |    0.8709 |   -0.4057 |  -0.04981 |
+#&gt; |.....................|   -0.1077 |    -4.274 |     2.898 |    0.5670 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.709 |    -2.249 |    -1.806 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   43</span>|     480.42514 |     1.001 |    -1.222 |   -0.9194 |   -0.8999 |
+#&gt; |.....................|   -0.8495 |   -0.5312 |   -0.9582 |    -1.002 |
+#&gt; |.....................|   -0.6227 |   -0.7573 |   -0.6826 |...........|
+#&gt; |    U|     480.42514 |     94.13 |    -5.622 |    -1.008 |   -0.2046 |
+#&gt; |.....................|     2.100 |     1.862 |    0.6974 |    0.7529 |
+#&gt; |.....................|     1.480 |     1.212 |     1.359 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.42514</span> |     94.13 |  0.003617 |    0.2674 |    0.8150 |
+#&gt; |.....................|     8.163 |     1.862 |    0.6974 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.480 |     1.212 |     1.359 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.560 |    0.8648 |   -0.4238 |  -0.05673 |
+#&gt; |.....................|   -0.1505 |    -4.130 |     2.894 |    0.5588 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.637 |    -2.210 |    -1.785 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   44</span>|     480.41757 |     1.002 |    -1.223 |   -0.9192 |   -0.8999 |
+#&gt; |.....................|   -0.8494 |   -0.5307 |   -0.9591 |    -1.002 |
+#&gt; |.....................|   -0.6223 |   -0.7566 |   -0.6821 |...........|
+#&gt; |    U|     480.41757 |     94.21 |    -5.623 |    -1.008 |   -0.2046 |
+#&gt; |.....................|     2.100 |     1.863 |    0.6967 |    0.7528 |
+#&gt; |.....................|     1.481 |     1.212 |     1.359 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.41757</span> |     94.21 |  0.003613 |    0.2674 |    0.8150 |
+#&gt; |.....................|     8.164 |     1.863 |    0.6967 |    0.7528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.481 |     1.212 |     1.359 |...........|</span>
+#&gt; |    F| Forward Diff. |     8.260 |    0.8632 |   -0.3905 |  -0.04898 |
+#&gt; |.....................|   -0.1050 |    -4.163 |     2.793 |    0.5626 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.680 |    -2.170 |    -1.767 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   45</span>|     480.40986 |     1.001 |    -1.225 |   -0.9190 |   -0.8999 |
+#&gt; |.....................|   -0.8494 |   -0.5306 |   -0.9600 |    -1.002 |
+#&gt; |.....................|   -0.6221 |   -0.7560 |   -0.6818 |...........|
+#&gt; |    U|     480.40986 |     94.13 |    -5.625 |    -1.008 |   -0.2045 |
+#&gt; |.....................|     2.100 |     1.863 |    0.6961 |    0.7528 |
+#&gt; |.....................|     1.481 |     1.213 |     1.360 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.40986</span> |     94.13 |  0.003607 |    0.2675 |    0.8150 |
+#&gt; |.....................|     8.164 |     1.863 |    0.6961 |    0.7528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.481 |     1.213 |     1.360 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.433 |    0.8570 |   -0.4082 |  -0.05598 |
+#&gt; |.....................|   -0.1439 |    -4.083 |     2.776 |   -0.7191 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.623 |    -2.134 |    -1.744 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   46</span>|     480.40309 |     1.002 |    -1.226 |   -0.9188 |   -0.8999 |
+#&gt; |.....................|   -0.8493 |   -0.5301 |   -0.9609 |    -1.002 |
+#&gt; |.....................|   -0.6217 |   -0.7553 |   -0.6813 |...........|
+#&gt; |    U|     480.40309 |     94.20 |    -5.626 |    -1.007 |   -0.2045 |
+#&gt; |.....................|     2.100 |     1.863 |    0.6954 |    0.7529 |
+#&gt; |.....................|     1.481 |     1.214 |     1.360 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.40309</span> |     94.20 |  0.003603 |    0.2675 |    0.8151 |
+#&gt; |.....................|     8.165 |     1.863 |    0.6954 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.481 |     1.214 |     1.360 |...........|</span>
+#&gt; |    F| Forward Diff. |     7.640 |    0.8551 |   -0.3719 |  -0.04853 |
+#&gt; |.....................|   -0.1037 |    -4.111 |     2.689 |    0.5674 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.653 |    -2.095 |    -1.726 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   47</span>|     480.39597 |     1.001 |    -1.227 |   -0.9185 |   -0.8998 |
+#&gt; |.....................|   -0.8492 |   -0.5300 |   -0.9618 |    -1.002 |
+#&gt; |.....................|   -0.6215 |   -0.7547 |   -0.6809 |...........|
+#&gt; |    U|     480.39597 |     94.13 |    -5.627 |    -1.007 |   -0.2045 |
+#&gt; |.....................|     2.100 |     1.863 |    0.6947 |    0.7530 |
+#&gt; |.....................|     1.482 |     1.214 |     1.361 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.39597</span> |     94.13 |  0.003598 |    0.2676 |    0.8151 |
+#&gt; |.....................|     8.165 |     1.863 |    0.6947 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.214 |     1.361 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.827 |    0.8487 |   -0.3865 |  -0.05558 |
+#&gt; |.....................|   -0.1453 |    -3.997 |     2.662 |    0.5449 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.580 |    -2.061 |    -1.701 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   48</span>|     480.38900 |     1.002 |    -1.229 |   -0.9184 |   -0.8998 |
+#&gt; |.....................|   -0.8491 |   -0.5297 |   -0.9626 |    -1.002 |
+#&gt; |.....................|   -0.6211 |   -0.7540 |   -0.6805 |...........|
+#&gt; |    U|       480.389 |     94.20 |    -5.629 |    -1.007 |   -0.2044 |
+#&gt; |.....................|     2.100 |     1.864 |    0.6940 |    0.7529 |
+#&gt; |.....................|     1.482 |     1.215 |     1.361 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>       480.389</span> |     94.20 |  0.003593 |    0.2676 |    0.8151 |
+#&gt; |.....................|     8.166 |     1.864 |    0.6940 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.215 |     1.361 |...........|</span>
+#&gt; |    F| Forward Diff. |     7.052 |    0.8465 |   -0.3544 |  -0.04836 |
+#&gt; |.....................|   -0.1022 |    -3.917 |     2.636 |    0.5926 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.553 |    -2.027 |    -1.689 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   49</span>|     480.38219 |     1.001 |    -1.230 |   -0.9183 |   -0.8998 |
+#&gt; |.....................|   -0.8491 |   -0.5296 |   -0.9634 |    -1.002 |
+#&gt; |.....................|   -0.6209 |   -0.7534 |   -0.6801 |...........|
+#&gt; |    U|     480.38219 |     94.13 |    -5.630 |    -1.007 |   -0.2044 |
+#&gt; |.....................|     2.100 |     1.864 |    0.6934 |    0.7529 |
+#&gt; |.....................|     1.482 |     1.216 |     1.362 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.38219</span> |     94.13 |  0.003587 |    0.2676 |    0.8151 |
+#&gt; |.....................|     8.166 |     1.864 |    0.6934 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.216 |     1.362 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.619 |    0.8406 |   -0.3725 |  -0.05439 |
+#&gt; |.....................|   -0.1411 |    -3.915 |     2.594 |   -0.6808 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.519 |    -1.986 |    -1.659 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   50</span>|     480.37598 |     1.002 |    -1.232 |   -0.9180 |   -0.8998 |
+#&gt; |.....................|   -0.8490 |   -0.5292 |   -0.9644 |    -1.002 |
+#&gt; |.....................|   -0.6206 |   -0.7528 |   -0.6796 |...........|
+#&gt; |    U|     480.37598 |     94.20 |    -5.632 |    -1.007 |   -0.2044 |
+#&gt; |.....................|     2.100 |     1.864 |    0.6927 |    0.7530 |
+#&gt; |.....................|     1.483 |     1.216 |     1.362 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.37598</span> |     94.20 |  0.003582 |    0.2677 |    0.8152 |
+#&gt; |.....................|     8.167 |     1.864 |    0.6927 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.483 |     1.216 |     1.362 |...........|</span>
+#&gt; |    F| Forward Diff. |     6.566 |    0.8383 |   -0.3380 |  -0.04700 |
+#&gt; |.....................|  -0.09943 |    -3.949 |     2.377 |    0.5751 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.561 |    -1.951 |    -1.641 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   51</span>|     480.36982 |     1.001 |    -1.233 |   -0.9178 |   -0.8997 |
+#&gt; |.....................|   -0.8489 |   -0.5291 |   -0.9651 |    -1.002 |
+#&gt; |.....................|   -0.6204 |   -0.7522 |   -0.6792 |...........|
+#&gt; |    U|     480.36982 |     94.12 |    -5.633 |    -1.006 |   -0.2043 |
+#&gt; |.....................|     2.100 |     1.864 |    0.6922 |    0.7530 |
+#&gt; |.....................|     1.483 |     1.217 |     1.363 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.36982</span> |     94.12 |  0.003577 |    0.2677 |    0.8152 |
+#&gt; |.....................|     8.167 |     1.864 |    0.6922 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.483 |     1.217 |     1.363 |...........|</span>
+#&gt; |    F| Forward Diff. |    -5.243 |    0.8317 |   -0.3515 |  -0.05392 |
+#&gt; |.....................|   -0.1358 |    -3.830 |     2.493 |    0.5823 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.510 |    -1.918 |    -1.620 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   52</span>|     480.36331 |     1.002 |    -1.235 |   -0.9176 |   -0.8997 |
+#&gt; |.....................|   -0.8489 |   -0.5289 |   -0.9659 |    -1.002 |
+#&gt; |.....................|   -0.6201 |   -0.7516 |   -0.6788 |...........|
+#&gt; |    U|     480.36331 |     94.19 |    -5.635 |    -1.006 |   -0.2043 |
+#&gt; |.....................|     2.100 |     1.864 |    0.6916 |    0.7530 |
+#&gt; |.....................|     1.483 |     1.218 |     1.363 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.36331</span> |     94.19 |  0.003572 |    0.2677 |    0.8152 |
+#&gt; |.....................|     8.168 |     1.864 |    0.6916 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.483 |     1.218 |     1.363 |...........|</span>
+#&gt; |    F| Forward Diff. |     5.492 |    0.8288 |   -0.3226 |  -0.04732 |
+#&gt; |.....................|  -0.09956 |    -3.829 |     2.435 |    0.5676 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.517 |    -1.882 |    -1.604 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   53</span>|     480.35731 |     1.001 |    -1.236 |   -0.9175 |   -0.8996 |
+#&gt; |.....................|   -0.8488 |   -0.5288 |   -0.9666 |    -1.002 |
+#&gt; |.....................|   -0.6198 |   -0.7510 |   -0.6783 |...........|
+#&gt; |    U|     480.35731 |     94.12 |    -5.636 |    -1.006 |   -0.2043 |
+#&gt; |.....................|     2.100 |     1.864 |    0.6910 |    0.7529 |
+#&gt; |.....................|     1.484 |     1.218 |     1.364 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.35731</span> |     94.12 |  0.003566 |    0.2678 |    0.8152 |
+#&gt; |.....................|     8.168 |     1.864 |    0.6910 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.484 |     1.218 |     1.364 |...........|</span>
+#&gt; |    F| Forward Diff. |    -5.442 |    0.8230 |   -0.3401 |  -0.05270 |
+#&gt; |.....................|   -0.1329 |    -3.818 |     2.394 |   -0.6865 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.462 |    -1.826 |    -1.568 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   54</span>|     480.35158 |     1.002 |    -1.238 |   -0.9173 |   -0.8996 |
+#&gt; |.....................|   -0.8487 |   -0.5286 |   -0.9675 |    -1.002 |
+#&gt; |.....................|   -0.6197 |   -0.7504 |   -0.6779 |...........|
+#&gt; |    U|     480.35158 |     94.19 |    -5.638 |    -1.006 |   -0.2042 |
+#&gt; |.....................|     2.100 |     1.864 |    0.6904 |    0.7530 |
+#&gt; |.....................|     1.484 |     1.219 |     1.364 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.35158</span> |     94.19 |  0.003561 |    0.2678 |    0.8153 |
+#&gt; |.....................|     8.169 |     1.864 |    0.6904 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.484 |     1.219 |     1.364 |...........|</span>
+#&gt; |    F| Forward Diff. |     5.119 |    0.8198 |   -0.3066 |  -0.04724 |
+#&gt; |.....................|   -0.1005 |    -3.787 |     2.338 |    0.5896 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.465 |    -1.812 |    -1.559 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   55</span>|     480.34603 |     1.001 |    -1.239 |   -0.9170 |   -0.8996 |
+#&gt; |.....................|   -0.8486 |   -0.5283 |   -0.9683 |    -1.002 |
+#&gt; |.....................|   -0.6195 |   -0.7499 |   -0.6775 |...........|
+#&gt; |    U|     480.34603 |     94.12 |    -5.639 |    -1.006 |   -0.2042 |
+#&gt; |.....................|     2.100 |     1.865 |    0.6897 |    0.7530 |
+#&gt; |.....................|     1.484 |     1.220 |     1.364 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.34603</span> |     94.12 |  0.003555 |    0.2679 |    0.8153 |
+#&gt; |.....................|     8.170 |     1.865 |    0.6897 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.484 |     1.220 |     1.364 |...........|</span>
+#&gt; |    F| Forward Diff. |    -5.669 |    0.8137 |   -0.3182 |  -0.05158 |
+#&gt; |.....................|   -0.1292 |    -3.845 |     2.251 |    0.5349 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.532 |    -1.781 |    -1.537 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   56</span>|     480.33997 |     1.002 |    -1.241 |   -0.9169 |   -0.8995 |
+#&gt; |.....................|   -0.8486 |   -0.5282 |   -0.9690 |    -1.002 |
+#&gt; |.....................|   -0.6192 |   -0.7493 |   -0.6772 |...........|
+#&gt; |    U|     480.33997 |     94.19 |    -5.641 |    -1.005 |   -0.2041 |
+#&gt; |.....................|     2.101 |     1.865 |    0.6892 |    0.7529 |
+#&gt; |.....................|     1.484 |     1.220 |     1.365 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.33997</span> |     94.19 |  0.003550 |    0.2679 |    0.8153 |
+#&gt; |.....................|     8.170 |     1.865 |    0.6892 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.484 |     1.220 |     1.365 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.944 |    0.8109 |   -0.2900 |  -0.04418 |
+#&gt; |.....................|  -0.09220 |    -3.817 |     2.207 |    0.5423 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.530 |    -1.750 |    -1.524 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   57</span>|     480.33440 |     1.001 |    -1.242 |   -0.9168 |   -0.8995 |
+#&gt; |.....................|   -0.8485 |   -0.5280 |   -0.9697 |    -1.002 |
+#&gt; |.....................|   -0.6188 |   -0.7487 |   -0.6768 |...........|
+#&gt; |    U|      480.3344 |     94.12 |    -5.642 |    -1.005 |   -0.2041 |
+#&gt; |.....................|     2.101 |     1.865 |    0.6887 |    0.7529 |
+#&gt; |.....................|     1.485 |     1.221 |     1.365 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>      480.3344</span> |     94.12 |  0.003544 |    0.2679 |    0.8154 |
+#&gt; |.....................|     8.171 |     1.865 |    0.6887 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.485 |     1.221 |     1.365 |...........|</span>
+#&gt; |    F| Forward Diff. |    -5.630 |    0.8048 |   -0.3070 |  -0.04965 |
+#&gt; |.....................|   -0.1246 |    -3.770 |     2.179 |    0.5400 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.465 |    -1.710 |    -1.500 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   58</span>|     480.32852 |     1.002 |    -1.244 |   -0.9167 |   -0.8994 |
+#&gt; |.....................|   -0.8485 |   -0.5278 |   -0.9703 |    -1.002 |
+#&gt; |.....................|   -0.6184 |   -0.7482 |   -0.6764 |...........|
+#&gt; |    U|     480.32852 |     94.19 |    -5.644 |    -1.005 |   -0.2041 |
+#&gt; |.....................|     2.101 |     1.865 |    0.6882 |    0.7528 |
+#&gt; |.....................|     1.485 |     1.221 |     1.366 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.32852</span> |     94.19 |  0.003538 |    0.2679 |    0.8154 |
+#&gt; |.....................|     8.171 |     1.865 |    0.6882 |    0.7528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.485 |     1.221 |     1.366 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.819 |    0.8018 |   -0.2789 |  -0.04260 |
+#&gt; |.....................|  -0.08823 |    -3.653 |     2.177 |   -0.6593 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.384 |    -1.678 |    -1.478 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   59</span>|     480.32382 |     1.001 |    -1.246 |   -0.9164 |   -0.8994 |
+#&gt; |.....................|   -0.8484 |   -0.5276 |   -0.9711 |    -1.002 |
+#&gt; |.....................|   -0.6183 |   -0.7477 |   -0.6761 |...........|
+#&gt; |    U|     480.32382 |     94.12 |    -5.646 |    -1.005 |   -0.2040 |
+#&gt; |.....................|     2.101 |     1.865 |    0.6876 |    0.7529 |
+#&gt; |.....................|     1.486 |     1.222 |     1.366 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.32382</span> |     94.12 |  0.003533 |    0.2680 |    0.8155 |
+#&gt; |.....................|     8.172 |     1.865 |    0.6876 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.486 |     1.222 |     1.366 |...........|</span>
+#&gt; |    F| Forward Diff. |    -5.225 |    0.7951 |   -0.2896 |  -0.04843 |
+#&gt; |.....................|   -0.1194 |    -3.720 |     2.091 |   -0.7072 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.430 |    -1.641 |    -1.454 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   60</span>|     480.31902 |     1.002 |    -1.247 |   -0.9160 |   -0.8993 |
+#&gt; |.....................|   -0.8482 |   -0.5273 |   -0.9719 |    -1.002 |
+#&gt; |.....................|   -0.6182 |   -0.7473 |   -0.6757 |...........|
+#&gt; |    U|     480.31902 |     94.19 |    -5.647 |    -1.005 |   -0.2039 |
+#&gt; |.....................|     2.101 |     1.865 |    0.6870 |    0.7531 |
+#&gt; |.....................|     1.486 |     1.222 |     1.367 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.31902</span> |     94.19 |  0.003527 |    0.2681 |    0.8155 |
+#&gt; |.....................|     8.173 |     1.865 |    0.6870 |    0.7531 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.486 |     1.222 |     1.367 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.904 |    0.7922 |   -0.2469 |  -0.04034 |
+#&gt; |.....................|  -0.08539 |    -3.545 |     2.094 |   -0.6237 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.331 |    -1.619 |    -1.454 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   61</span>|     480.31471 |     1.001 |    -1.249 |   -0.9156 |   -0.8993 |
+#&gt; |.....................|   -0.8481 |   -0.5271 |   -0.9727 |    -1.001 |
+#&gt; |.....................|   -0.6181 |   -0.7468 |   -0.6753 |...........|
+#&gt; |    U|     480.31471 |     94.12 |    -5.649 |    -1.004 |   -0.2039 |
+#&gt; |.....................|     2.101 |     1.866 |    0.6864 |    0.7533 |
+#&gt; |.....................|     1.486 |     1.223 |     1.367 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.31471</span> |     94.12 |  0.003522 |    0.2681 |    0.8156 |
+#&gt; |.....................|     8.174 |     1.866 |    0.6864 |    0.7533 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.486 |     1.223 |     1.367 |...........|</span>
+#&gt; |    F| Forward Diff. |    -5.295 |    0.7853 |   -0.2507 |  -0.04627 |
+#&gt; |.....................|   -0.1126 |    -3.760 |     1.942 |   -0.7288 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.482 |    -1.617 |    -1.436 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   62</span>|     480.31013 |     1.002 |    -1.250 |   -0.9152 |   -0.8992 |
+#&gt; |.....................|   -0.8480 |   -0.5269 |   -0.9734 |    -1.001 |
+#&gt; |.....................|   -0.6180 |   -0.7464 |   -0.6750 |...........|
+#&gt; |    U|     480.31013 |     94.19 |    -5.650 |    -1.004 |   -0.2038 |
+#&gt; |.....................|     2.101 |     1.866 |    0.6859 |    0.7535 |
+#&gt; |.....................|     1.486 |     1.223 |     1.367 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.31013</span> |     94.19 |  0.003516 |    0.2682 |    0.8156 |
+#&gt; |.....................|     8.175 |     1.866 |    0.6859 |    0.7535 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.486 |     1.223 |     1.367 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.435 |    0.7821 |   -0.2118 |  -0.03855 |
+#&gt; |.....................|  -0.07590 |    -3.495 |     2.000 |   -0.6027 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.382 |    -1.576 |    -1.413 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   63</span>|     480.30581 |     1.001 |    -1.252 |   -0.9149 |   -0.8991 |
+#&gt; |.....................|   -0.8479 |   -0.5266 |   -0.9741 |    -1.001 |
+#&gt; |.....................|   -0.6178 |   -0.7459 |   -0.6746 |...........|
+#&gt; |    U|     480.30581 |     94.12 |    -5.652 |    -1.003 |   -0.2037 |
+#&gt; |.....................|     2.101 |     1.866 |    0.6854 |    0.7536 |
+#&gt; |.....................|     1.486 |     1.224 |     1.368 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.30581</span> |     94.12 |  0.003510 |    0.2683 |    0.8157 |
+#&gt; |.....................|     8.176 |     1.866 |    0.6854 |    0.7536 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.486 |     1.224 |     1.368 |...........|</span>
+#&gt; |    F| Forward Diff. |    -5.315 |    0.7789 |   -0.2090 |  -0.03720 |
+#&gt; |.....................|  -0.09944 |    -3.577 |     1.911 |   -0.6518 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.378 |    -1.528 |    -1.376 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   64</span>|     480.30125 |     1.002 |    -1.254 |   -0.9146 |   -0.8990 |
+#&gt; |.....................|   -0.8478 |   -0.5264 |   -0.9748 |    -1.001 |
+#&gt; |.....................|   -0.6176 |   -0.7454 |   -0.6743 |...........|
+#&gt; |    U|     480.30125 |     94.19 |    -5.654 |    -1.003 |   -0.2037 |
+#&gt; |.....................|     2.101 |     1.866 |    0.6848 |    0.7538 |
+#&gt; |.....................|     1.486 |     1.224 |     1.368 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.30125</span> |     94.19 |  0.003505 |    0.2683 |    0.8157 |
+#&gt; |.....................|     8.177 |     1.866 |    0.6848 |    0.7538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.486 |     1.224 |     1.368 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.353 |    0.7723 |   -0.1834 |  -0.03622 |
+#&gt; |.....................|  -0.07047 |    -3.672 |     1.822 |   -0.6713 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.445 |    -1.532 |    -1.389 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   65</span>|     480.29714 |     1.001 |    -1.255 |   -0.9143 |   -0.8990 |
+#&gt; |.....................|   -0.8476 |   -0.5261 |   -0.9754 |    -1.001 |
+#&gt; |.....................|   -0.6174 |   -0.7450 |   -0.6740 |...........|
+#&gt; |    U|     480.29714 |     94.12 |    -5.655 |    -1.003 |   -0.2036 |
+#&gt; |.....................|     2.101 |     1.866 |    0.6843 |    0.7539 |
+#&gt; |.....................|     1.487 |     1.225 |     1.369 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.29714</span> |     94.12 |  0.003499 |    0.2684 |    0.8158 |
+#&gt; |.....................|     8.178 |     1.866 |    0.6843 |    0.7539 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.487 |     1.225 |     1.369 |...........|</span>
+#&gt; |    F| Forward Diff. |    -5.435 |    0.7663 |   -0.1878 |  -0.03986 |
+#&gt; |.....................|   -0.1019 |    -3.343 |     1.893 |    0.6711 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.269 |    -1.487 |    -1.354 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   66</span>|     480.29215 |     1.002 |    -1.257 |   -0.9143 |   -0.8989 |
+#&gt; |.....................|   -0.8476 |   -0.5260 |   -0.9760 |    -1.001 |
+#&gt; |.....................|   -0.6172 |   -0.7444 |   -0.6736 |...........|
+#&gt; |    U|     480.29215 |     94.18 |    -5.657 |    -1.003 |   -0.2036 |
+#&gt; |.....................|     2.102 |     1.867 |    0.6839 |    0.7538 |
+#&gt; |.....................|     1.487 |     1.226 |     1.369 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.29215</span> |     94.18 |  0.003493 |    0.2684 |    0.8158 |
+#&gt; |.....................|     8.179 |     1.867 |    0.6839 |    0.7538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.487 |     1.226 |     1.369 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.161 |    0.7621 |   -0.1686 |  -0.03452 |
+#&gt; |.....................|  -0.06632 |    -3.552 |     1.775 |    0.6057 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.379 |    -1.473 |    -1.364 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   67</span>|     480.28721 |     1.001 |    -1.259 |   -0.9145 |   -0.8989 |
+#&gt; |.....................|   -0.8476 |   -0.5257 |   -0.9765 |    -1.001 |
+#&gt; |.....................|   -0.6170 |   -0.7439 |   -0.6732 |...........|
+#&gt; |    U|     480.28721 |     94.12 |    -5.659 |    -1.003 |   -0.2035 |
+#&gt; |.....................|     2.102 |     1.867 |    0.6836 |    0.7537 |
+#&gt; |.....................|     1.487 |     1.226 |     1.369 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.28721</span> |     94.12 |  0.003487 |    0.2684 |    0.8159 |
+#&gt; |.....................|     8.179 |     1.867 |    0.6836 |    0.7537 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.487 |     1.226 |     1.369 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.925 |    0.7584 |   -0.1913 |  -0.03513 |
+#&gt; |.....................|  -0.09132 |    -3.418 |     1.781 |   -0.6203 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.349 |    -1.417 |    -1.313 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   68</span>|     480.28278 |     1.002 |    -1.260 |   -0.9144 |   -0.8988 |
+#&gt; |.....................|   -0.8475 |   -0.5255 |   -0.9770 |    -1.001 |
+#&gt; |.....................|   -0.6167 |   -0.7434 |   -0.6728 |...........|
+#&gt; |    U|     480.28278 |     94.19 |    -5.660 |    -1.003 |   -0.2035 |
+#&gt; |.....................|     2.102 |     1.867 |    0.6832 |    0.7537 |
+#&gt; |.....................|     1.487 |     1.227 |     1.370 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.28278</span> |     94.19 |  0.003481 |    0.2684 |    0.8159 |
+#&gt; |.....................|     8.179 |     1.867 |    0.6832 |    0.7537 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.487 |     1.227 |     1.370 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.442 |    0.7524 |   -0.1734 |  -0.03276 |
+#&gt; |.....................|  -0.06267 |    -3.400 |     1.746 |   -0.5960 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.307 |    -1.411 |    -1.323 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   69</span>|     480.27897 |     1.001 |    -1.262 |   -0.9141 |   -0.8988 |
+#&gt; |.....................|   -0.8474 |   -0.5252 |   -0.9776 |    -1.001 |
+#&gt; |.....................|   -0.6165 |   -0.7431 |   -0.6724 |...........|
+#&gt; |    U|     480.27897 |     94.13 |    -5.662 |    -1.003 |   -0.2034 |
+#&gt; |.....................|     2.102 |     1.867 |    0.6827 |    0.7539 |
+#&gt; |.....................|     1.488 |     1.227 |     1.370 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.27897</span> |     94.13 |  0.003475 |    0.2684 |    0.8159 |
+#&gt; |.....................|     8.180 |     1.867 |    0.6827 |    0.7539 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.488 |     1.227 |     1.370 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.732 |    0.7463 |   -0.1764 |  -0.03625 |
+#&gt; |.....................|  -0.08933 |    -3.375 |     1.716 |    0.6486 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.273 |    -1.374 |    -1.283 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   70</span>|     480.27440 |     1.002 |    -1.264 |   -0.9140 |   -0.8987 |
+#&gt; |.....................|   -0.8473 |   -0.5250 |   -0.9782 |    -1.001 |
+#&gt; |.....................|   -0.6164 |   -0.7427 |   -0.6721 |...........|
+#&gt; |    U|      480.2744 |     94.19 |    -5.664 |    -1.003 |   -0.2034 |
+#&gt; |.....................|     2.102 |     1.867 |    0.6823 |    0.7538 |
+#&gt; |.....................|     1.488 |     1.227 |     1.371 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>      480.2744</span> |     94.19 |  0.003469 |    0.2684 |    0.8160 |
+#&gt; |.....................|     8.181 |     1.867 |    0.6823 |    0.7538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.488 |     1.227 |     1.371 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.305 |    0.7431 |   -0.1535 |  -0.02884 |
+#&gt; |.....................|  -0.05624 |    -3.424 |     1.641 |   -0.6166 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.366 |    -1.368 |    -1.291 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   71</span>|     480.27043 |     1.001 |    -1.266 |   -0.9140 |   -0.8987 |
+#&gt; |.....................|   -0.8473 |   -0.5247 |   -0.9786 |    -1.001 |
+#&gt; |.....................|   -0.6161 |   -0.7423 |   -0.6718 |...........|
+#&gt; |    U|     480.27043 |     94.13 |    -5.666 |    -1.002 |   -0.2033 |
+#&gt; |.....................|     2.102 |     1.868 |    0.6819 |    0.7539 |
+#&gt; |.....................|     1.488 |     1.228 |     1.371 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.27043</span> |     94.13 |  0.003463 |    0.2685 |    0.8160 |
+#&gt; |.....................|     8.181 |     1.868 |    0.6819 |    0.7539 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.488 |     1.228 |     1.371 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.306 |    0.7372 |   -0.1665 |  -0.03186 |
+#&gt; |.....................|  -0.08221 |    -3.333 |     1.631 |   -0.6040 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.265 |    -1.322 |    -1.255 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   72</span>|     480.26665 |     1.002 |    -1.267 |   -0.9136 |   -0.8986 |
+#&gt; |.....................|   -0.8471 |   -0.5244 |   -0.9791 |    -1.001 |
+#&gt; |.....................|   -0.6160 |   -0.7419 |   -0.6714 |...........|
+#&gt; |    U|     480.26665 |     94.19 |    -5.667 |    -1.002 |   -0.2032 |
+#&gt; |.....................|     2.102 |     1.868 |    0.6815 |    0.7540 |
+#&gt; |.....................|     1.488 |     1.228 |     1.371 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.26665</span> |     94.19 |  0.003457 |    0.2685 |    0.8161 |
+#&gt; |.....................|     8.182 |     1.868 |    0.6815 |    0.7540 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.488 |     1.228 |     1.371 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.654 |    0.7327 |   -0.1326 |  -0.02617 |
+#&gt; |.....................|  -0.04981 |    -3.394 |     1.559 |   -0.6139 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.358 |    -1.341 |    -1.268 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   73</span>|     480.26300 |     1.001 |    -1.269 |   -0.9132 |   -0.8985 |
+#&gt; |.....................|   -0.8470 |   -0.5241 |   -0.9796 |    -1.000 |
+#&gt; |.....................|   -0.6158 |   -0.7416 |   -0.6711 |...........|
+#&gt; |    U|       480.263 |     94.13 |    -5.669 |    -1.002 |   -0.2032 |
+#&gt; |.....................|     2.102 |     1.868 |    0.6812 |    0.7542 |
+#&gt; |.....................|     1.488 |     1.229 |     1.372 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>       480.263</span> |     94.13 |  0.003451 |    0.2686 |    0.8162 |
+#&gt; |.....................|     8.183 |     1.868 |    0.6812 |    0.7542 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.488 |     1.229 |     1.372 |...........|</span>
+#&gt; |    F| Forward Diff. |    -4.009 |    0.7258 |   -0.1343 |  -0.03035 |
+#&gt; |.....................|  -0.07619 |    -3.164 |     1.609 |   -0.5397 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.251 |    -1.282 |    -1.219 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   74</span>|     480.25930 |     1.002 |    -1.271 |   -0.9130 |   -0.8985 |
+#&gt; |.....................|   -0.8469 |   -0.5239 |   -0.9802 |    -1.000 |
+#&gt; |.....................|   -0.6155 |   -0.7412 |   -0.6708 |...........|
+#&gt; |    U|      480.2593 |     94.19 |    -5.671 |    -1.002 |   -0.2031 |
+#&gt; |.....................|     2.102 |     1.868 |    0.6807 |    0.7543 |
+#&gt; |.....................|     1.489 |     1.229 |     1.372 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>      480.2593</span> |     94.19 |  0.003445 |    0.2686 |    0.8162 |
+#&gt; |.....................|     8.184 |     1.868 |    0.6807 |    0.7543 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.489 |     1.229 |     1.372 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.851 |    0.7223 |   -0.1045 |  -0.02290 |
+#&gt; |.....................|  -0.04316 |    -3.376 |     1.478 |    0.6193 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.343 |    -1.302 |    -1.232 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   75</span>|     480.25486 |     1.001 |    -1.273 |   -0.9131 |   -0.8984 |
+#&gt; |.....................|   -0.8469 |   -0.5237 |   -0.9805 |    -1.000 |
+#&gt; |.....................|   -0.6152 |   -0.7408 |   -0.6705 |...........|
+#&gt; |    U|     480.25486 |     94.14 |    -5.673 |    -1.002 |   -0.2030 |
+#&gt; |.....................|     2.102 |     1.868 |    0.6805 |    0.7542 |
+#&gt; |.....................|     1.489 |     1.230 |     1.373 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.25486</span> |     94.14 |  0.003439 |    0.2686 |    0.8162 |
+#&gt; |.....................|     8.184 |     1.868 |    0.6805 |    0.7542 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.489 |     1.230 |     1.373 |...........|</span>
+#&gt; |    F| Forward Diff. |    -3.282 |    0.7167 |   -0.1236 |  -0.02586 |
+#&gt; |.....................|  -0.06793 |    -3.294 |     1.470 |    0.6693 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.247 |    -1.242 |    -1.194 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   76</span>|     480.25000 |     1.002 |    -1.274 |   -0.9134 |   -0.8984 |
+#&gt; |.....................|   -0.8469 |   -0.5231 |   -0.9806 |    -1.001 |
+#&gt; |.....................|   -0.6147 |   -0.7402 |   -0.6701 |...........|
+#&gt; |    U|        480.25 |     94.20 |    -5.674 |    -1.002 |   -0.2030 |
+#&gt; |.....................|     2.102 |     1.869 |    0.6804 |    0.7539 |
+#&gt; |.....................|     1.490 |     1.230 |     1.373 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>        480.25</span> |     94.20 |  0.003434 |    0.2686 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.869 |    0.6804 |    0.7539 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.490 |     1.230 |     1.373 |...........|</span>
+#&gt; |    F| Forward Diff. |     5.823 |    0.7134 |   -0.1173 |  -0.02040 |
+#&gt; |.....................|  -0.04062 |    -3.151 |     1.491 |   -0.5685 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.243 |    -1.237 |    -1.210 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   77</span>|     480.24598 |     1.001 |    -1.276 |   -0.9134 |   -0.8984 |
+#&gt; |.....................|   -0.8469 |   -0.5229 |   -0.9809 |    -1.001 |
+#&gt; |.....................|   -0.6145 |   -0.7399 |   -0.6698 |...........|
+#&gt; |    U|     480.24598 |     94.13 |    -5.676 |    -1.002 |   -0.2030 |
+#&gt; |.....................|     2.102 |     1.869 |    0.6802 |    0.7539 |
+#&gt; |.....................|     1.490 |     1.231 |     1.373 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.24598</span> |     94.13 |  0.003427 |    0.2686 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.869 |    0.6802 |    0.7539 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.490 |     1.231 |     1.373 |...........|</span>
+#&gt; |    F| Forward Diff. |    -3.294 |    0.7076 |   -0.1362 |  -0.02383 |
+#&gt; |.....................|  -0.06566 |    -3.147 |     1.461 |    0.6663 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.244 |    -1.185 |    -1.155 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   78</span>|     480.24152 |     1.002 |    -1.278 |   -0.9134 |   -0.8983 |
+#&gt; |.....................|   -0.8469 |   -0.5225 |   -0.9813 |    -1.001 |
+#&gt; |.....................|   -0.6142 |   -0.7395 |   -0.6694 |...........|
+#&gt; |    U|     480.24152 |     94.19 |    -5.678 |    -1.002 |   -0.2030 |
+#&gt; |.....................|     2.102 |     1.869 |    0.6799 |    0.7538 |
+#&gt; |.....................|     1.490 |     1.231 |     1.374 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.24152</span> |     94.19 |  0.003421 |    0.2686 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.869 |    0.6799 |    0.7538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.490 |     1.231 |     1.374 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.573 |    0.7031 |   -0.1214 |  -0.01999 |
+#&gt; |.....................|  -0.04022 |    -3.129 |     1.425 |    0.6287 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.274 |    -1.197 |    -1.174 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   79</span>|     480.23703 |     1.001 |    -1.280 |   -0.9136 |   -0.8983 |
+#&gt; |.....................|   -0.8469 |   -0.5223 |   -0.9815 |    -1.001 |
+#&gt; |.....................|   -0.6136 |   -0.7392 |   -0.6691 |...........|
+#&gt; |    U|     480.23703 |     94.13 |    -5.680 |    -1.002 |   -0.2030 |
+#&gt; |.....................|     2.102 |     1.869 |    0.6797 |    0.7536 |
+#&gt; |.....................|     1.491 |     1.231 |     1.374 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.23703</span> |     94.13 |  0.003415 |    0.2685 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.869 |    0.6797 |    0.7536 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.491 |     1.231 |     1.374 |...........|</span>
+#&gt; |    F| Forward Diff. |    -3.496 |    0.6977 |   -0.1464 |  -0.02500 |
+#&gt; |.....................|  -0.06997 |    -3.031 |     1.316 |    0.6455 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.198 |    -1.144 |    -1.124 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   80</span>|     480.23246 |     1.002 |    -1.281 |   -0.9138 |   -0.8983 |
+#&gt; |.....................|   -0.8469 |   -0.5219 |   -0.9816 |    -1.001 |
+#&gt; |.....................|   -0.6131 |   -0.7387 |   -0.6687 |...........|
+#&gt; |    U|     480.23246 |     94.19 |    -5.681 |    -1.002 |   -0.2030 |
+#&gt; |.....................|     2.102 |     1.870 |    0.6796 |    0.7533 |
+#&gt; |.....................|     1.492 |     1.232 |     1.375 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.23246</span> |     94.19 |  0.003409 |    0.2685 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.870 |    0.6796 |    0.7533 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.492 |     1.232 |     1.375 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.825 |    0.6940 |   -0.1347 |  -0.01919 |
+#&gt; |.....................|  -0.03939 |    -3.118 |     1.378 |    0.5922 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.219 |    -1.136 |    -1.127 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   81</span>|     480.22809 |     1.001 |    -1.283 |   -0.9138 |   -0.8983 |
+#&gt; |.....................|   -0.8469 |   -0.5217 |   -0.9816 |    -1.002 |
+#&gt; |.....................|   -0.6127 |   -0.7384 |   -0.6684 |...........|
+#&gt; |    U|     480.22809 |     94.14 |    -5.683 |    -1.002 |   -0.2029 |
+#&gt; |.....................|     2.102 |     1.870 |    0.6796 |    0.7531 |
+#&gt; |.....................|     1.492 |     1.232 |     1.375 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.22809</span> |     94.14 |  0.003403 |    0.2685 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.870 |    0.6796 |    0.7531 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.492 |     1.232 |     1.375 |...........|</span>
+#&gt; |    F| Forward Diff. |    -3.001 |    0.6885 |   -0.1518 |  -0.02256 |
+#&gt; |.....................|  -0.06414 |    -2.892 |     1.443 |    0.6415 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.085 |    -1.098 |    -1.101 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   82</span>|     480.22387 |     1.002 |    -1.285 |   -0.9139 |   -0.8983 |
+#&gt; |.....................|   -0.8469 |   -0.5212 |   -0.9821 |    -1.002 |
+#&gt; |.....................|   -0.6124 |   -0.7381 |   -0.6680 |...........|
+#&gt; |    U|     480.22387 |     94.19 |    -5.685 |    -1.002 |   -0.2029 |
+#&gt; |.....................|     2.102 |     1.870 |    0.6793 |    0.7529 |
+#&gt; |.....................|     1.492 |     1.232 |     1.375 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.22387</span> |     94.19 |  0.003397 |    0.2685 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.870 |    0.6793 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.492 |     1.232 |     1.375 |...........|</span>
+#&gt; |    F| Forward Diff. |     5.360 |    0.6846 |   -0.1392 |  -0.01938 |
+#&gt; |.....................|  -0.04006 |    -2.853 |     1.421 |   -0.5715 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |    -1.117 |    -1.118 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   83</span>|     480.22054 |     1.001 |    -1.287 |   -0.9139 |   -0.8983 |
+#&gt; |.....................|   -0.8469 |   -0.5210 |   -0.9826 |    -1.002 |
+#&gt; |.....................|   -0.6125 |   -0.7380 |   -0.6676 |...........|
+#&gt; |    U|     480.22054 |     94.14 |    -5.687 |    -1.002 |   -0.2029 |
+#&gt; |.....................|     2.102 |     1.871 |    0.6789 |    0.7530 |
+#&gt; |.....................|     1.492 |     1.233 |     1.376 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.22054</span> |     94.14 |  0.003391 |    0.2685 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.871 |    0.6789 |    0.7530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.492 |     1.233 |     1.376 |...........|</span>
+#&gt; |    F| Forward Diff. |    -2.774 |    0.6781 |   -0.1521 |  -0.02419 |
+#&gt; |.....................|  -0.06697 |    -2.800 |     1.392 |    0.6467 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.111 |    -1.074 |    -1.064 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   84</span>|     480.21670 |     1.002 |    -1.288 |   -0.9138 |   -0.8983 |
+#&gt; |.....................|   -0.8469 |   -0.5206 |   -0.9832 |    -1.002 |
+#&gt; |.....................|   -0.6123 |   -0.7378 |   -0.6672 |...........|
+#&gt; |    U|      480.2167 |     94.19 |    -5.688 |    -1.002 |   -0.2029 |
+#&gt; |.....................|     2.102 |     1.871 |    0.6784 |    0.7529 |
+#&gt; |.....................|     1.493 |     1.233 |     1.376 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>      480.2167</span> |     94.19 |  0.003385 |    0.2685 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.871 |    0.6784 |    0.7529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.493 |     1.233 |     1.376 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.519 |    0.6730 |   -0.1351 |  -0.02088 |
+#&gt; |.....................|  -0.04118 |    -2.856 |     1.311 |    0.6094 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.165 |    -1.062 |    -1.048 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   85</span>|     480.21269 |     1.001 |    -1.290 |   -0.9139 |   -0.8983 |
+#&gt; |.....................|   -0.8469 |   -0.5205 |   -0.9835 |    -1.002 |
+#&gt; |.....................|   -0.6119 |   -0.7376 |   -0.6670 |...........|
+#&gt; |    U|     480.21269 |     94.14 |    -5.690 |    -1.002 |   -0.2029 |
+#&gt; |.....................|     2.102 |     1.871 |    0.6782 |    0.7527 |
+#&gt; |.....................|     1.493 |     1.233 |     1.377 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.21269</span> |     94.14 |  0.003379 |    0.2685 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.871 |    0.6782 |    0.7527 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.493 |     1.233 |     1.377 |...........|</span>
+#&gt; |    F| Forward Diff. |    -2.933 |    0.6686 |   -0.1517 |  -0.01805 |
+#&gt; |.....................|  -0.06304 |    -2.806 |     1.298 |    0.6045 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.073 |    -1.045 |    -1.026 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   86</span>|     480.20865 |     1.002 |    -1.292 |   -0.9139 |   -0.8983 |
+#&gt; |.....................|   -0.8469 |   -0.5201 |   -0.9839 |    -1.002 |
+#&gt; |.....................|   -0.6115 |   -0.7373 |   -0.6667 |...........|
+#&gt; |    U|     480.20865 |     94.19 |    -5.692 |    -1.002 |   -0.2029 |
+#&gt; |.....................|     2.102 |     1.871 |    0.6779 |    0.7525 |
+#&gt; |.....................|     1.494 |     1.233 |     1.377 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.20865</span> |     94.19 |  0.003373 |    0.2685 |    0.8163 |
+#&gt; |.....................|     8.184 |     1.871 |    0.6779 |    0.7525 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.494 |     1.233 |     1.377 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.802 |    0.6647 |   -0.1367 |  -0.01906 |
+#&gt; |.....................|  -0.03994 |    -2.699 |     1.311 |   -0.5807 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.078 |    -1.030 |    -1.030 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   87</span>|     480.20558 |     1.001 |    -1.294 |   -0.9137 |   -0.8983 |
+#&gt; |.....................|   -0.8468 |   -0.5199 |   -0.9842 |    -1.002 |
+#&gt; |.....................|   -0.6113 |   -0.7372 |   -0.6665 |...........|
+#&gt; |    U|     480.20558 |     94.14 |    -5.694 |    -1.002 |   -0.2029 |
+#&gt; |.....................|     2.102 |     1.871 |    0.6776 |    0.7525 |
+#&gt; |.....................|     1.494 |     1.233 |     1.377 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.20558</span> |     94.14 |  0.003367 |    0.2685 |    0.8163 |
+#&gt; |.....................|     8.185 |     1.871 |    0.6776 |    0.7525 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.494 |     1.233 |     1.377 |...........|</span>
+#&gt; |    F| Forward Diff. |    -2.911 |    0.6576 |   -0.1438 |  -0.02051 |
+#&gt; |.....................|  -0.06613 |    -2.751 |     1.246 |   -0.6218 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.053 |    -1.017 |    -1.010 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   88</span>|     480.20291 |     1.002 |    -1.296 |   -0.9132 |   -0.8982 |
+#&gt; |.....................|   -0.8467 |   -0.5195 |   -0.9848 |    -1.002 |
+#&gt; |.....................|   -0.6112 |   -0.7370 |   -0.6662 |...........|
+#&gt; |    U|     480.20291 |     94.19 |    -5.696 |    -1.002 |   -0.2029 |
+#&gt; |.....................|     2.102 |     1.872 |    0.6772 |    0.7527 |
+#&gt; |.....................|     1.494 |     1.234 |     1.377 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.20291</span> |     94.19 |  0.003361 |    0.2686 |    0.8164 |
+#&gt; |.....................|     8.186 |     1.872 |    0.6772 |    0.7527 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.494 |     1.234 |     1.377 |...........|</span>
+#&gt; |    F| Forward Diff. |     4.296 |    0.6533 |   -0.1055 |  -0.01383 |
+#&gt; |.....................|  -0.03435 |    -2.750 |     1.192 |   -0.6155 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.121 |    -1.037 |    -1.054 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   89</span>|     480.20010 |     1.001 |    -1.297 |   -0.9127 |   -0.8982 |
+#&gt; |.....................|   -0.8466 |   -0.5193 |   -0.9850 |    -1.002 |
+#&gt; |.....................|   -0.6110 |   -0.7368 |   -0.6658 |...........|
+#&gt; |    U|      480.2001 |     94.14 |    -5.697 |    -1.001 |   -0.2028 |
+#&gt; |.....................|     2.103 |     1.872 |    0.6771 |    0.7528 |
+#&gt; |.....................|     1.494 |     1.234 |     1.378 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>      480.2001</span> |     94.14 |  0.003355 |    0.2687 |    0.8164 |
+#&gt; |.....................|     8.187 |     1.872 |    0.6771 |    0.7528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.494 |     1.234 |     1.378 |...........|</span>
+#&gt; |    F| Forward Diff. |    -2.841 |    0.6461 |  -0.09617 |  -0.01892 |
+#&gt; |.....................|  -0.05600 |    -2.503 |     1.255 |    0.6797 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.9587 |    -1.006 |   -0.9794 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   90</span>|     480.19652 |     1.002 |    -1.299 |   -0.9127 |   -0.8982 |
+#&gt; |.....................|   -0.8466 |   -0.5191 |   -0.9853 |    -1.002 |
+#&gt; |.....................|   -0.6108 |   -0.7364 |   -0.6653 |...........|
+#&gt; |    U|     480.19652 |     94.19 |    -5.699 |    -1.001 |   -0.2028 |
+#&gt; |.....................|     2.103 |     1.872 |    0.6768 |    0.7526 |
+#&gt; |.....................|     1.494 |     1.234 |     1.378 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.19652</span> |     94.19 |  0.003349 |    0.2687 |    0.8164 |
+#&gt; |.....................|     8.187 |     1.872 |    0.6768 |    0.7526 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.494 |     1.234 |     1.378 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   91</span>|     480.19461 |     1.002 |    -1.301 |   -0.9128 |   -0.8982 |
+#&gt; |.....................|   -0.8466 |   -0.5193 |   -0.9855 |    -1.002 |
+#&gt; |.....................|   -0.6107 |   -0.7361 |   -0.6650 |...........|
+#&gt; |    U|     480.19461 |     94.18 |    -5.701 |    -1.001 |   -0.2028 |
+#&gt; |.....................|     2.103 |     1.872 |    0.6767 |    0.7526 |
+#&gt; |.....................|     1.494 |     1.235 |     1.379 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.19461</span> |     94.18 |  0.003342 |    0.2687 |    0.8164 |
+#&gt; |.....................|     8.187 |     1.872 |    0.6767 |    0.7526 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.494 |     1.235 |     1.379 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   92</span>|     480.18441 |     1.002 |    -1.313 |   -0.9134 |   -0.8983 |
+#&gt; |.....................|   -0.8466 |   -0.5209 |   -0.9862 |    -1.003 |
+#&gt; |.....................|   -0.6104 |   -0.7344 |   -0.6628 |...........|
+#&gt; |    U|     480.18441 |     94.17 |    -5.713 |    -1.002 |   -0.2029 |
+#&gt; |.....................|     2.103 |     1.871 |    0.6762 |    0.7522 |
+#&gt; |.....................|     1.495 |     1.237 |     1.381 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.18441</span> |     94.17 |  0.003303 |    0.2686 |    0.8164 |
+#&gt; |.....................|     8.187 |     1.871 |    0.6762 |    0.7522 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.495 |     1.237 |     1.381 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   93</span>|     480.15712 |     1.001 |    -1.360 |   -0.9157 |   -0.8984 |
+#&gt; |.....................|   -0.8466 |   -0.5271 |   -0.9890 |    -1.004 |
+#&gt; |.....................|   -0.6089 |   -0.7277 |   -0.6540 |...........|
+#&gt; |    U|     480.15712 |     94.12 |    -5.760 |    -1.004 |   -0.2031 |
+#&gt; |.....................|     2.103 |     1.866 |    0.6740 |    0.7509 |
+#&gt; |.....................|     1.497 |     1.244 |     1.391 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.15712</span> |     94.12 |  0.003151 |    0.2681 |    0.8162 |
+#&gt; |.....................|     8.187 |     1.866 |    0.6740 |    0.7509 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.497 |     1.244 |     1.391 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   94</span>|     480.23418 |    0.9997 |    -1.543 |   -0.9246 |   -0.8991 |
+#&gt; |.....................|   -0.8465 |   -0.5509 |    -1.000 |    -1.011 |
+#&gt; |.....................|   -0.6032 |   -0.7017 |   -0.6198 |...........|
+#&gt; |    U|     480.23418 |     93.97 |    -5.943 |    -1.013 |   -0.2037 |
+#&gt; |.....................|     2.103 |     1.847 |    0.6655 |    0.7454 |
+#&gt; |.....................|     1.503 |     1.272 |     1.431 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.23418</span> |     93.97 |  0.002624 |    0.2664 |    0.8157 |
+#&gt; |.....................|     8.187 |     1.847 |    0.6655 |    0.7454 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.503 |     1.272 |     1.431 |...........|</span>
+#&gt; |    F| Forward Diff. |    -6.048 |    0.4781 |   -0.2230 |  -0.02217 |
+#&gt; |.....................|  -0.05480 |    -3.577 |    0.9301 |    0.6494 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.028 |   -0.4525 |   -0.4232 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   95</span>|     480.10748 |     1.002 |    -1.612 |   -0.8919 |   -0.8955 |
+#&gt; |.....................|   -0.8419 |   -0.5057 |    -1.005 |    -1.011 |
+#&gt; |.....................|   -0.6089 |   -0.7402 |   -0.6757 |...........|
+#&gt; |    U|     480.10748 |     94.20 |    -6.012 |   -0.9804 |   -0.2001 |
+#&gt; |.....................|     2.107 |     1.883 |    0.6618 |    0.7449 |
+#&gt; |.....................|     1.497 |     1.230 |     1.367 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.10748</span> |     94.20 |  0.002450 |    0.2728 |    0.8186 |
+#&gt; |.....................|     8.225 |     1.883 |    0.6618 |    0.7449 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.497 |     1.230 |     1.367 |...........|</span>
+#&gt; |    F| Forward Diff. |     5.588 |   -0.2032 |     1.050 |   0.05863 |
+#&gt; |.....................|    0.1556 |    -1.013 |   -0.1797 |    0.1430 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.088 |    -1.192 |    -1.504 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   96</span>|     480.44664 |     1.003 |    -1.804 |   -0.9880 |   -0.8940 |
+#&gt; |.....................|   -0.8524 |   -0.4601 |   -0.9127 |    -1.040 |
+#&gt; |.....................|   -0.5485 |   -0.7099 |   -0.6226 |...........|
+#&gt; |    U|     480.44664 |     94.31 |    -6.204 |    -1.077 |   -0.1987 |
+#&gt; |.....................|     2.097 |     1.919 |    0.7320 |    0.7196 |
+#&gt; |.....................|     1.568 |     1.263 |     1.427 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.44664</span> |     94.31 |  0.002022 |    0.2542 |    0.8198 |
+#&gt; |.....................|     8.139 |     1.919 |    0.7320 |    0.7196 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.568 |     1.263 |     1.427 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   97</span>|     480.05051 |     1.002 |    -1.657 |   -0.9147 |   -0.8952 |
+#&gt; |.....................|   -0.8444 |   -0.4949 |   -0.9832 |    -1.018 |
+#&gt; |.....................|   -0.5946 |   -0.7329 |   -0.6630 |...........|
+#&gt; |    U|     480.05051 |     94.19 |    -6.057 |    -1.003 |   -0.1998 |
+#&gt; |.....................|     2.105 |     1.891 |    0.6784 |    0.7389 |
+#&gt; |.....................|     1.514 |     1.238 |     1.381 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.05051</span> |     94.19 |  0.002341 |    0.2683 |    0.8189 |
+#&gt; |.....................|     8.205 |     1.891 |    0.6784 |    0.7389 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.514 |     1.238 |     1.381 |...........|</span>
+#&gt; |    F| Forward Diff. |     3.048 |   -0.2764 |  -0.02525 |   0.07726 |
+#&gt; |.....................|    0.1002 |    0.1555 |     1.072 |    0.1458 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.5013 |   -0.7465 |   -0.9442 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   98</span>|     480.05873 |     1.002 |    -1.641 |   -0.9145 |   -0.9051 |
+#&gt; |.....................|   -0.8597 |   -0.5017 |   -0.9961 |    -1.019 |
+#&gt; |.....................|   -0.5552 |   -0.7600 |   -0.6392 |...........|
+#&gt; |    U|     480.05873 |     94.21 |    -6.041 |    -1.003 |   -0.2097 |
+#&gt; |.....................|     2.089 |     1.886 |    0.6686 |    0.7381 |
+#&gt; |.....................|     1.561 |     1.209 |     1.408 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.05873</span> |     94.21 |  0.002380 |    0.2684 |    0.8108 |
+#&gt; |.....................|     8.080 |     1.886 |    0.6686 |    0.7381 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.561 |     1.209 |     1.408 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>   99</span>|     480.03299 |     1.002 |    -1.650 |   -0.9146 |   -0.8993 |
+#&gt; |.....................|   -0.8508 |   -0.4977 |   -0.9887 |    -1.018 |
+#&gt; |.....................|   -0.5780 |   -0.7442 |   -0.6529 |...........|
+#&gt; |    U|     480.03299 |     94.17 |    -6.050 |    -1.003 |   -0.2040 |
+#&gt; |.....................|     2.098 |     1.889 |    0.6742 |    0.7386 |
+#&gt; |.....................|     1.533 |     1.226 |     1.393 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.03299</span> |     94.17 |  0.002357 |    0.2683 |    0.8155 |
+#&gt; |.....................|     8.152 |     1.889 |    0.6742 |    0.7386 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.533 |     1.226 |     1.393 |...........|</span>
+#&gt; |    F| Forward Diff. |  -0.07884 |   -0.2508 |  -0.03233 |  -0.02314 |
+#&gt; |.....................|   -0.1302 |   0.06288 |    0.7629 |    0.2261 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.3850 |    -1.277 |   -0.6610 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  100</span>|     480.00970 |     1.003 |    -1.641 |   -0.9125 |   -0.9005 |
+#&gt; |.....................|   -0.8500 |   -0.4980 |   -0.9983 |    -1.021 |
+#&gt; |.....................|   -0.5841 |   -0.7275 |   -0.6414 |...........|
+#&gt; |    U|      480.0097 |     94.26 |    -6.041 |    -1.001 |   -0.2051 |
+#&gt; |.....................|     2.099 |     1.889 |    0.6670 |    0.7367 |
+#&gt; |.....................|     1.526 |     1.244 |     1.406 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>      480.0097</span> |     94.26 |  0.002380 |    0.2687 |    0.8145 |
+#&gt; |.....................|     8.159 |     1.889 |    0.6670 |    0.7367 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.526 |     1.244 |     1.406 |...........|</span>
+#&gt; |    F| Forward Diff. |     12.51 |   -0.2151 |    0.1066 |  -0.04414 |
+#&gt; |.....................|  -0.06212 |   -0.2557 |   0.09002 |  -0.09728 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   0.06582 |   -0.3883 |   0.07016 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  101</span>|     480.02569 |     1.000 |    -1.627 |   -0.9257 |   -0.9015 |
+#&gt; |.....................|   -0.8496 |   -0.4974 |    -1.010 |    -1.023 |
+#&gt; |.....................|   -0.5876 |   -0.7200 |   -0.6493 |...........|
+#&gt; |    U|     480.02569 |     94.03 |    -6.027 |    -1.014 |   -0.2061 |
+#&gt; |.....................|     2.099 |     1.889 |    0.6581 |    0.7348 |
+#&gt; |.....................|     1.522 |     1.252 |     1.397 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.02569</span> |     94.03 |  0.002413 |    0.2662 |    0.8138 |
+#&gt; |.....................|     8.162 |     1.889 |    0.6581 |    0.7348 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.522 |     1.252 |     1.397 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  102</span>|     480.01783 |     1.000 |    -1.636 |   -0.9171 |   -0.9008 |
+#&gt; |.....................|   -0.8499 |   -0.4978 |    -1.002 |    -1.021 |
+#&gt; |.....................|   -0.5853 |   -0.7249 |   -0.6441 |...........|
+#&gt; |    U|     480.01783 |     94.03 |    -6.036 |    -1.006 |   -0.2055 |
+#&gt; |.....................|     2.099 |     1.889 |    0.6639 |    0.7361 |
+#&gt; |.....................|     1.525 |     1.247 |     1.403 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.01783</span> |     94.03 |  0.002392 |    0.2678 |    0.8143 |
+#&gt; |.....................|     8.160 |     1.889 |    0.6639 |    0.7361 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.525 |     1.247 |     1.403 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  103</span>|     480.01762 |     1.000 |    -1.639 |   -0.9140 |   -0.9006 |
+#&gt; |.....................|   -0.8500 |   -0.4979 |   -0.9995 |    -1.021 |
+#&gt; |.....................|   -0.5844 |   -0.7266 |   -0.6422 |...........|
+#&gt; |    U|     480.01762 |     94.04 |    -6.039 |    -1.002 |   -0.2052 |
+#&gt; |.....................|     2.099 |     1.889 |    0.6660 |    0.7365 |
+#&gt; |.....................|     1.526 |     1.245 |     1.405 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.01762</span> |     94.04 |  0.002384 |    0.2685 |    0.8145 |
+#&gt; |.....................|     8.159 |     1.889 |    0.6660 |    0.7365 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.526 |     1.245 |     1.405 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  104</span>|     480.00603 |     1.001 |    -1.641 |   -0.9125 |   -0.9005 |
+#&gt; |.....................|   -0.8500 |   -0.4980 |   -0.9983 |    -1.021 |
+#&gt; |.....................|   -0.5841 |   -0.7275 |   -0.6414 |...........|
+#&gt; |    U|     480.00603 |     94.12 |    -6.041 |    -1.001 |   -0.2051 |
+#&gt; |.....................|     2.099 |     1.889 |    0.6670 |    0.7367 |
+#&gt; |.....................|     1.526 |     1.244 |     1.406 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.00603</span> |     94.12 |  0.002380 |    0.2687 |    0.8145 |
+#&gt; |.....................|     8.159 |     1.889 |    0.6670 |    0.7367 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.526 |     1.244 |     1.406 |...........|</span>
+#&gt; |    F| Forward Diff. |    -6.885 |   -0.2187 |   0.06031 |  -0.05864 |
+#&gt; |.....................|   -0.1316 |   -0.6942 |  -0.07940 |    0.7419 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2628 |   -0.6303 |   -0.1748 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  105</span>|     480.00355 |     1.002 |    -1.640 |   -0.9125 |   -0.9004 |
+#&gt; |.....................|   -0.8497 |   -0.4981 |   -0.9983 |    -1.021 |
+#&gt; |.....................|   -0.5835 |   -0.7267 |   -0.6420 |...........|
+#&gt; |    U|     480.00355 |     94.17 |    -6.040 |    -1.001 |   -0.2050 |
+#&gt; |.....................|     2.099 |     1.889 |    0.6669 |    0.7366 |
+#&gt; |.....................|     1.527 |     1.245 |     1.405 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.00355</span> |     94.17 |  0.002382 |    0.2687 |    0.8147 |
+#&gt; |.....................|     8.162 |     1.889 |    0.6669 |    0.7366 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.527 |     1.245 |     1.405 |...........|</span>
+#&gt; |    F| Forward Diff. |   -0.1332 |   -0.2152 |   0.07761 |  -0.04946 |
+#&gt; |.....................|  -0.09731 |  -0.07704 |    0.1258 |    0.9492 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   0.08309 |   -0.3432 |   0.03979 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  106</span>|     480.00003 |     1.002 |    -1.640 |   -0.9126 |   -0.9003 |
+#&gt; |.....................|   -0.8495 |   -0.4980 |   -0.9985 |    -1.022 |
+#&gt; |.....................|   -0.5836 |   -0.7262 |   -0.6420 |...........|
+#&gt; |    U|     480.00003 |     94.19 |    -6.040 |    -1.001 |   -0.2049 |
+#&gt; |.....................|     2.100 |     1.889 |    0.6668 |    0.7355 |
+#&gt; |.....................|     1.527 |     1.245 |     1.405 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     480.00003</span> |     94.19 |  0.002382 |    0.2687 |    0.8147 |
+#&gt; |.....................|     8.163 |     1.889 |    0.6668 |    0.7355 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.527 |     1.245 |     1.405 |...........|</span>
+#&gt; |    F| Forward Diff. |     2.294 |   -0.2073 |   0.08146 |  -0.04541 |
+#&gt; |.....................|  -0.07807 |   -0.2293 |   0.05730 |    0.8075 |
+#&gt; <span style='text-decoration: underline;'>|.....................| -0.008164 |   -0.3171 |   0.03808 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  107</span>|     479.99578 |     1.002 |    -1.638 |   -0.9109 |   -0.8997 |
+#&gt; |.....................|   -0.8483 |   -0.4984 |   -0.9975 |    -1.023 |
+#&gt; |.....................|   -0.5809 |   -0.7230 |   -0.6440 |...........|
+#&gt; |    U|     479.99578 |     94.17 |    -6.038 |   -0.9994 |   -0.2043 |
+#&gt; |.....................|     2.101 |     1.889 |    0.6675 |    0.7343 |
+#&gt; |.....................|     1.530 |     1.249 |     1.403 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     479.99578</span> |     94.17 |  0.002387 |    0.2691 |    0.8152 |
+#&gt; |.....................|     8.172 |     1.889 |    0.6675 |    0.7343 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.530 |     1.249 |     1.403 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  108</span>|     479.99301 |     1.002 |    -1.632 |   -0.9055 |   -0.8980 |
+#&gt; |.....................|   -0.8447 |   -0.4999 |   -0.9947 |    -1.027 |
+#&gt; |.....................|   -0.5728 |   -0.7134 |   -0.6498 |...........|
+#&gt; |    U|     479.99301 |     94.16 |    -6.032 |   -0.9941 |   -0.2026 |
+#&gt; |.....................|     2.104 |     1.887 |    0.6697 |    0.7310 |
+#&gt; |.....................|     1.540 |     1.259 |     1.396 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     479.99301</span> |     94.16 |  0.002402 |    0.2701 |    0.8166 |
+#&gt; |.....................|     8.202 |     1.887 |    0.6697 |    0.7310 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.540 |     1.259 |     1.396 |...........|</span>
+#&gt; |    F| Forward Diff. |   -0.5972 |   -0.1625 |    0.4650 |  0.009686 |
+#&gt; |.....................|   0.08636 |    -1.694 |   -0.1652 |    -1.042 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1517 |    0.4204 |   -0.3659 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  109</span>|     479.98697 |     1.002 |    -1.611 |   -0.9101 |   -0.8945 |
+#&gt; |.....................|   -0.8385 |   -0.4966 |   -0.9980 |    -1.027 |
+#&gt; |.....................|   -0.5750 |   -0.7140 |   -0.6459 |...........|
+#&gt; |    U|     479.98697 |     94.17 |    -6.011 |   -0.9986 |   -0.1991 |
+#&gt; |.....................|     2.111 |     1.890 |    0.6672 |    0.7309 |
+#&gt; |.....................|     1.537 |     1.259 |     1.401 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     479.98697</span> |     94.17 |  0.002451 |    0.2692 |    0.8195 |
+#&gt; |.....................|     8.253 |     1.890 |    0.6672 |    0.7309 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.537 |     1.259 |     1.401 |...........|</span>
+#&gt; |    F| Forward Diff. | -0.005684 |   -0.1115 |    0.2082 |   0.08938 |
+#&gt; |.....................|    0.3008 |   0.01411 |    0.1052 |   -0.7061 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.4111 |    0.4010 |   -0.1199 |...........|</span>
+#&gt; |<span style='font-weight: bold;'>  110</span>|     479.98697 |     1.002 |    -1.611 |   -0.9101 |   -0.8945 |
+#&gt; |.....................|   -0.8385 |   -0.4966 |   -0.9980 |    -1.027 |
+#&gt; |.....................|   -0.5750 |   -0.7140 |   -0.6459 |...........|
+#&gt; |    U|     479.98697 |     94.17 |    -6.011 |   -0.9986 |   -0.1991 |
+#&gt; |.....................|     2.111 |     1.890 |    0.6672 |    0.7309 |
+#&gt; |.....................|     1.537 |     1.259 |     1.401 |...........|
+#&gt; |    X|<span style='font-weight: bold;'>     479.98697</span> |     94.17 |  0.002451 |    0.2692 |    0.8195 |
+#&gt; |.....................|     8.253 |     1.890 |    0.6672 |    0.7309 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.537 |     1.259 |     1.401 |...........|</span>
+#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'><span class='va'>f_nlmixr_dfop_sfo_focei_const</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_const</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"
+#&gt; <span style='font-weight: bold;'>Key:</span> U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
+#&gt; F: Forward difference gradient approximation
+#&gt; C: Central difference gradient approximation
+#&gt; M: Mixed forward and central difference gradient approximation
+#&gt; Unscaled parameters for Omegas=chol(solve(omega));
+#&gt; Diagonals are transformed, as specified by foceiControl(diagXform=)
+#&gt; |-----+---------------+-----------+-----------+-----------+-----------|
+#&gt; |    #| Objective Fun |  parent_0 |  log_k_A1 |f_parent_qlogis |    log_k1 |
+#&gt; |.....................|    log_k2 |  g_qlogis |     sigma |        o1 |
+#&gt; |.....................|        o2 |        o3 |        o4 |        o5 |
+#&gt; <span style='text-decoration: underline;'>|.....................|        o6 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    1</span>|     517.20934 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     517.20934 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     517.20934</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    G|    Gill Diff. |     64.43 |     1.648 |  -0.07882 |   -0.2050 |
+#&gt; |.....................|   -0.4304 |   0.05992 |    -56.51 |     17.73 |
+#&gt; |.....................|     9.983 |    -11.00 |    -3.771 |     3.593 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -10.58 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    2</span>|     2737.3115 |    0.2806 |    -1.018 |   -0.9100 |   -0.9273 |
+#&gt; |.....................|   -0.9731 |   -0.8892 |   -0.2282 |    -1.075 |
+#&gt; |.....................|   -0.9854 |   -0.7447 |   -0.8291 |   -0.9136 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7499 |...........|...........|...........|</span>
+#&gt; |    U|     2737.3115 |     26.38 |    -5.418 |   -0.9691 |    -1.898 |
+#&gt; |.....................|    -4.295 |    0.1399 |     2.105 |    0.5864 |
+#&gt; |.....................|    0.7671 |     1.329 |     1.042 |    0.8535 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.298 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     2737.3115</span> |     26.38 |  0.004434 |    0.2751 |    0.1499 |
+#&gt; |.....................|   0.01363 |    0.5349 |     2.105 |    0.5864 |
+#&gt; |.....................|    0.7671 |     1.329 |     1.042 |    0.8535 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.298 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    3</span>|     569.57476 |    0.9281 |    -1.002 |   -0.9108 |   -0.9293 |
+#&gt; |.....................|   -0.9774 |   -0.8886 |   -0.7961 |   -0.8964 |
+#&gt; |.....................|   -0.8851 |   -0.8553 |   -0.8670 |   -0.8775 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8562 |...........|...........|...........|</span>
+#&gt; |    U|     569.57476 |     87.24 |    -5.402 |   -0.9699 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.650 |    0.7166 |
+#&gt; |.....................|    0.8537 |     1.198 |     1.004 |    0.8856 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.175 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     569.57476</span> |     87.24 |  0.004508 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01358 |    0.5349 |     1.650 |    0.7166 |
+#&gt; |.....................|    0.8537 |     1.198 |     1.004 |    0.8856 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.175 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    4</span>|     531.41065 |    0.9928 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9778 |   -0.8885 |   -0.8528 |   -0.8786 |
+#&gt; |.....................|   -0.8751 |   -0.8663 |   -0.8708 |   -0.8739 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8668 |...........|...........|...........|</span>
+#&gt; |    U|     531.41065 |     93.32 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.605 |    0.7297 |
+#&gt; |.....................|    0.8624 |     1.185 |     1.000 |    0.8888 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.163 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.41065</span> |     93.32 |  0.004516 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.605 |    0.7297 |
+#&gt; |.....................|    0.8624 |     1.185 |     1.000 |    0.8888 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.163 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    5</span>|     531.74000 |    0.9993 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8585 |   -0.8768 |
+#&gt; |.....................|   -0.8741 |   -0.8674 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8679 |...........|...........|...........|</span>
+#&gt; |    U|        531.74 |     93.93 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.601 |    0.7310 |
+#&gt; |.....................|    0.8632 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>        531.74</span> |     93.93 |  0.004516 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.601 |    0.7310 |
+#&gt; |.....................|    0.8632 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    6</span>|     531.81753 |    0.9999 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8591 |   -0.8767 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.81753 |     93.99 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.81753</span> |     93.99 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    7</span>|     531.82573 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8591 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82573 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82573</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    8</span>|     531.82668 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82668 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82668</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    9</span>|     531.82678 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82678 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82678</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   10</span>|     531.82679 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82679 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82679</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   11</span>|     531.82679 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82679 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82679</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   12</span>|     531.82678 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82678 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82678</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   13</span>|     531.82679 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82679 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82679</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   14</span>|     531.82679 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82679 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82679</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   15</span>|     531.82679 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82679 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82679</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   16</span>|     531.82679 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82679 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82679</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   17</span>|     531.82679 |     1.000 |    -1.000 |   -0.9109 |   -0.9296 |
+#&gt; |.....................|   -0.9779 |   -0.8885 |   -0.8592 |   -0.8766 |
+#&gt; |.....................|   -0.8740 |   -0.8675 |   -0.8712 |   -0.8735 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8680 |...........|...........|...........|</span>
+#&gt; |    U|     531.82679 |     94.00 |    -5.400 |   -0.9700 |    -1.900 |
+#&gt; |.....................|    -4.300 |    0.1400 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     531.82679</span> |     94.00 |  0.004517 |    0.2749 |    0.1496 |
+#&gt; |.....................|   0.01357 |    0.5349 |     1.600 |    0.7311 |
+#&gt; |.....................|    0.8633 |     1.183 |     1.000 |    0.8891 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.161 |...........|...........|...........|</span>
+#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: last objective function was not at minimum, possible problems in optimization</span></div><div class='output co'>#&gt; <span class='warning'>Warning: using R matrix to calculate covariance, can check sandwich or S matrix with $covRS and $covS</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'>
+<span class='co'># Variance by variable is supported by 'saem' and 'focei'</span>
+<span class='va'>f_nlmixr_fomc_sfo_saem_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_obs</span><span class='op'>[</span><span class='st'>"FOMC-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"saem"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'>→ generate SAEM model</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; 1:    93.4067   -5.7935   -0.0604    2.2993   -1.1624    2.9450    1.7342    0.6650    0.5890    0.4750   14.5215    9.1023
+#&gt; 2:    93.8811   -5.7873   -0.0289    2.3640   -1.0762    2.7977    2.0710    0.6317    0.5595    0.4512   11.1033    4.6425
+#&gt; 3:    94.0397   -5.9934    0.0119    2.4035   -1.0703    3.0693    2.4524    0.6124    0.5316    0.4287   10.0698    3.4243
+#&gt; 4:    93.8834   -6.0401    0.0041    2.3944   -1.0097    2.9159    3.1645    0.6120    0.5050    0.4073    9.2013    3.2162
+#&gt; 5:    94.0163   -5.8381   -0.0267    2.3580   -1.0239    2.7701    3.0063    0.5814    0.4797    0.3869    9.0330    3.0330
+#&gt; 6:    93.9753   -5.8371   -0.0315    2.3598   -1.0052    2.6316    2.8559    0.5708    0.4558    0.3675    8.6051    2.6518
+#&gt; 7:    93.6109   -5.8741   -0.0401    2.3570   -1.0025    2.5000    2.7131    0.5691    0.4330    0.3492    8.4407    2.4701
+#&gt; 8:    93.2480   -6.0361   -0.0523    2.3504   -1.0028    2.3750    3.1584    0.5407    0.4113    0.3317    8.6121    2.2437
+#&gt; 9:    93.2245   -6.0431   -0.0503    2.3552   -0.9828    2.2562    3.9790    0.5395    0.3908    0.3151    8.6609    2.1129
+#&gt; 10:    93.3040   -6.1080   -0.0503    2.3613   -0.9784    2.1434    4.8606    0.5401    0.3712    0.2994    8.6497    2.0865
+#&gt; 11:    93.4509   -5.9532   -0.0503    2.3444   -0.9823    3.0948    4.6176    0.5679    0.3527    0.2844    8.1651    2.0310
+#&gt; 12:    93.5099   -6.1699   -0.0503    2.3408   -0.9746    3.2814    4.3867    0.5679    0.3350    0.2702    8.1716    1.9862
+#&gt; 13:    93.8052   -6.1984   -0.0474    2.3233   -0.9922    3.1173    4.6967    0.5644    0.3183    0.2567    8.2982    2.0040
+#&gt; 14:    93.6510   -6.0090   -0.0429    2.3601   -0.9885    2.9615    4.4618    0.5526    0.3024    0.2438    8.3254    2.0605
+#&gt; 15:    93.8952   -6.3354   -0.0394    2.3580   -0.9792    2.8134    5.2117    0.5657    0.2872    0.2316    8.1329    2.0520
+#&gt; 16:    93.4703   -6.0722   -0.0434    2.3386   -1.0026    2.6727    4.9512    0.5781    0.2729    0.2201    8.0866    2.0994
+#&gt; 17:    93.4238   -6.2132   -0.0755    2.3120   -1.0119    2.5391    4.7036    0.5495    0.2592    0.2091    7.5958    2.2864
+#&gt; 18:    93.5288   -6.2747   -0.0616    2.3223   -1.0105    2.4121    4.4684    0.5467    0.2463    0.1986    7.1910    1.9828
+#&gt; 19:    93.2607   -6.3635   -0.0631    2.3206   -1.0045    3.6271    4.8142    0.5405    0.2340    0.1928    7.3672    1.8187
+#&gt; 20:    93.3918   -6.3241   -0.0742    2.2941   -1.0140    3.4457    4.9242    0.5596    0.2223    0.1950    7.1427    1.8754
+#&gt; 21:    93.6794   -6.1336   -0.0758    2.3000   -1.0048    3.2734    4.6780    0.5565    0.2111    0.1852    7.0989    1.9232
+#&gt; 22:    94.0006   -6.1882   -0.0800    2.3099   -1.0252    3.1098    4.4441    0.5354    0.2006    0.1870    7.0038    1.9920
+#&gt; 23:    93.6433   -6.2626   -0.0841    2.2791   -1.0183    4.8893    4.4476    0.5276    0.1906    0.1798    6.3698    1.8787
+#&gt; 24:    93.9545   -6.3772   -0.0816    2.2887   -1.0019    4.6448    5.1698    0.5293    0.1810    0.1779    6.5903    1.9474
+#&gt; 25:    94.2280   -6.3235   -0.0839    2.2600   -0.9932    5.2801    4.9113    0.5262    0.1720    0.1806    6.5267    1.9807
+#&gt; 26:    94.2022   -6.2830   -0.0883    2.2643   -1.0012    5.9595    4.6658    0.5225    0.1634    0.1795    6.3678    1.9659
+#&gt; 27:    94.4398   -6.1769   -0.0894    2.2564   -1.0177    9.0771    4.4325    0.5207    0.1552    0.1880    6.4522    1.8590
+#&gt; 28:    94.2586   -6.1652   -0.0882    2.2574   -1.0226    8.6233    4.2108    0.5158    0.1475    0.1881    6.3701    1.7882
+#&gt; 29:    94.3490   -6.1505   -0.0854    2.2615   -1.0081    9.6333    4.0003    0.5109    0.1423    0.1833    6.3601    1.8485
+#&gt; 30:    94.6929   -6.0285   -0.0909    2.2610   -1.0082    9.1517    3.8003    0.5117    0.1401    0.2097    6.2461    1.8606
+#&gt; 31:    94.2553   -6.0390   -0.0896    2.2625   -1.0078    8.6941    3.6103    0.5072    0.1378    0.2088    6.3337    1.8220
+#&gt; 32:    94.3096   -5.7252   -0.0886    2.2677   -0.9967    9.0244    3.4298    0.5051    0.1325    0.2015    6.4601    1.8880
+#&gt; 33:    94.8327   -5.8775   -0.0865    2.2684   -0.9976    8.6305    3.2583    0.4920    0.1333    0.1993    6.4804    1.8203
+#&gt; 34:    94.3527   -5.9488   -0.0826    2.2879   -0.9989    8.1989    3.1538    0.4969    0.1388    0.1984    6.4201    1.7696
+#&gt; 35:    94.4411   -6.1171   -0.0826    2.2913   -0.9964    8.4377    3.7937    0.4969    0.1387    0.1972    6.3878    1.7612
+#&gt; 36:    94.2058   -6.1151   -0.0844    2.2920   -1.0069    8.0158    3.7963    0.4962    0.1395    0.1938    6.2469    1.6680
+#&gt; 37:    93.7449   -6.1251   -0.0925    2.2736   -1.0019    7.6150    3.8477    0.5101    0.1325    0.1841    6.1375    1.7472
+#&gt; 38:    93.6861   -6.0575   -0.0934    2.2803   -1.0097    7.2343    3.6553    0.5119    0.1259    0.1862    6.0729    1.7608
+#&gt; 39:    93.9767   -6.0314   -0.0999    2.2548   -1.0231    6.8726    3.4725    0.5195    0.1234    0.1951    6.1947    1.8276
+#&gt; 40:    94.0297   -6.1559   -0.0989    2.2440   -1.0374    6.5290    3.8559    0.5199    0.1279    0.1891    6.0195    1.8906
+#&gt; 41:    94.2069   -6.3055   -0.0820    2.2710   -1.0275    6.2025    4.7866    0.5304    0.1215    0.1858    6.1777    1.8541
+#&gt; 42:    94.2400   -6.3179   -0.0790    2.2783   -1.0379    5.8924    4.6915    0.5253    0.1154    0.1794    6.0530    1.8960
+#&gt; 43:    93.9851   -6.4096   -0.0784    2.2832   -1.0341    5.5978    5.0608    0.5163    0.1097    0.1773    6.0057    1.8136
+#&gt; 44:    94.1440   -6.2214   -0.0746    2.2969   -1.0262    5.3179    4.8077    0.5130    0.1079    0.1851    6.1182    1.8390
+#&gt; 45:    93.8847   -6.3883   -0.0745    2.3059   -1.0132    6.8202    5.1378    0.5130    0.1174    0.1769    6.1000    1.8391
+#&gt; 46:    93.7228   -6.3305   -0.0794    2.3033   -1.0107    6.4792    4.8809    0.5095    0.1196    0.1783    6.2794    1.7304
+#&gt; 47:    93.7031   -6.4232   -0.0796    2.3006   -1.0028    6.1552    5.5756    0.5092    0.1243    0.1887    6.1716    1.7279
+#&gt; 48:    93.5210   -6.2770   -0.0794    2.2948   -1.0122    5.8475    5.2968    0.5098    0.1247    0.1863    5.9847    1.7994
+#&gt; 49:    93.3676   -6.4486   -0.0754    2.3079   -1.0061    5.5551    5.4356    0.5018    0.1198    0.1858    6.1108    1.7598
+#&gt; 50:    93.8573   -6.3944   -0.0755    2.3057   -1.0038    5.2773    5.2487    0.5063    0.1193    0.1843    6.0935    1.7725
+#&gt; 51:    93.7004   -6.2783   -0.0854    2.2836   -1.0074    5.0135    4.9863    0.4932    0.1269    0.1858    6.1630    1.8063
+#&gt; 52:    93.4843   -6.3763   -0.0962    2.2731   -1.0073    4.7628    5.0969    0.4815    0.1345    0.1924    6.0823    1.8013
+#&gt; 53:    93.6971   -6.5002   -0.0887    2.2774   -1.0111    4.5246    5.7428    0.4726    0.1346    0.1982    6.1744    1.7695
+#&gt; 54:    93.6176   -6.4928   -0.0917    2.2648   -1.0220    4.2984    5.4557    0.4765    0.1419    0.2017    6.3732    1.8195
+#&gt; 55:    93.7072   -6.5760   -0.0833    2.2865   -1.0282    4.0835    5.9775    0.4732    0.1434    0.1963    6.3653    1.7028
+#&gt; 56:    94.1360   -6.6854   -0.0901    2.2941   -1.0244    3.8793    7.2562    0.4637    0.1393    0.1935    6.3001    1.7878
+#&gt; 57:    93.4627   -6.6255   -0.1049    2.2502   -1.0233    3.6854    6.8934    0.4847    0.1323    0.1878    6.2357    1.8480
+#&gt; 58:    93.8066   -6.6603   -0.1049    2.2362   -1.0280    3.5011    6.9334    0.4847    0.1397    0.1872    6.3582    1.7787
+#&gt; 59:    93.8599   -6.7837   -0.1046    2.2450   -1.0274    3.3260    8.4672    0.4853    0.1332    0.1833    6.1248    1.8066
+#&gt; 60:    93.6190   -6.5618   -0.1055    2.2381   -1.0244    3.1597    8.0438    0.4742    0.1390    0.1858    6.2589    1.7881
+#&gt; 61:    93.7045   -6.6482   -0.1159    2.2413   -1.0272    3.2942    7.8485    0.4655    0.1406    0.1827    5.8425    1.7744
+#&gt; 62:    93.5232   -6.5027   -0.1168    2.2418   -1.0187    3.3810    7.4560    0.4766    0.1414    0.1790    5.9349    1.7717
+#&gt; 63:    93.4884   -6.4221   -0.1164    2.2505   -1.0062    3.2119    7.0832    0.4768    0.1422    0.1752    6.0193    1.7434
+#&gt; 64:    93.2305   -6.4456   -0.1153    2.2573   -1.0062    4.1468    6.7291    0.4776    0.1395    0.1753    5.8355    1.7529
+#&gt; 65:    93.3743   -6.3237   -0.1227    2.2484   -1.0102    3.9395    6.3926    0.4864    0.1374    0.1800    5.6731    1.7808
+#&gt; 66:    93.7132   -6.3178   -0.1186    2.2389   -0.9894    4.0557    6.0730    0.4909    0.1426    0.1807    5.7099    1.7283
+#&gt; 67:    93.7490   -6.3514   -0.1155    2.2445   -0.9946    3.8529    5.7693    0.4938    0.1379    0.1830    5.7366    1.7847
+#&gt; 68:    93.7617   -6.1181   -0.1251    2.2487   -0.9841    3.7650    5.4809    0.4816    0.1549    0.1769    5.6569    1.7415
+#&gt; 69:    93.4342   -6.3588   -0.1301    2.2350   -0.9813    4.5688    5.2068    0.4745    0.1624    0.1736    5.5771    1.7091
+#&gt; 70:    93.5303   -6.3266   -0.1330    2.2384   -0.9753    4.3404    4.9465    0.4734    0.1563    0.1699    5.5332    1.7256
+#&gt; 71:    93.4733   -6.2859   -0.1364    2.2170   -0.9781    4.1234    4.6992    0.4701    0.1604    0.1649    5.6661    1.7335
+#&gt; 72:    93.3055   -6.2502   -0.1462    2.2156   -0.9724    3.9172    4.7693    0.4519    0.1607    0.1582    5.4776    1.7679
+#&gt; 73:    93.3010   -6.6844   -0.1490    2.2262   -0.9777    3.7213    6.9975    0.4426    0.1848    0.1640    5.7066    1.7588
+#&gt; 74:    93.1104   -6.6720   -0.1484    2.2079   -0.9982    3.5353    6.7811    0.4436    0.1807    0.1732    5.7700    1.7343
+#&gt; 75:    93.4534   -6.9644   -0.1480    2.2078   -0.9930    3.3585    8.7027    0.4497    0.1717    0.1708    5.5371    1.7098
+#&gt; 76:    93.5886   -6.3503   -0.1491    2.1958   -0.9884    3.7136    8.2676    0.4509    0.1731    0.1706    5.3943    1.7340
+#&gt; 77:    93.4345   -6.4976   -0.1531    2.1831   -0.9928    4.5945    7.8542    0.4592    0.1741    0.1703    5.5564    1.7164
+#&gt; 78:    93.6007   -6.4885   -0.1538    2.1850   -0.9919    4.3647    7.4615    0.4607    0.1803    0.1692    5.4698    1.7354
+#&gt; 79:    93.2897   -7.0329   -0.1518    2.1935   -0.9863    4.6922   10.9870    0.4569    0.1790    0.1608    5.3799    1.7484
+#&gt; 80:    93.4130   -6.6634   -0.1531    2.1865   -0.9839    5.4720   10.4377    0.4585    0.1852    0.1543    5.4298    1.7237
+#&gt; 81:    93.5828   -6.7204   -0.1563    2.1914   -0.9882    5.1984    9.9158    0.4548    0.1973    0.1600    5.4425    1.7741
+#&gt; 82:    93.4450   -6.7357   -0.1537    2.1964   -0.9958    4.9384   10.1331    0.4577    0.1874    0.1632    5.6874    1.7789
+#&gt; 83:    93.6109   -6.9249   -0.1493    2.2061   -0.9945    4.6915   11.1537    0.4474    0.1781    0.1686    5.4249    1.7317
+#&gt; 84:    93.7133   -6.8029   -0.1493    2.2016   -0.9886    4.4569   10.9568    0.4474    0.1715    0.1689    5.5426    1.7227
+#&gt; 85:    93.8040   -6.6434   -0.1483    2.2032   -0.9861    5.4991   10.4090    0.4330    0.1749    0.1726    5.4570    1.7332
+#&gt; 86:    93.9029   -6.7750   -0.1472    2.2066   -0.9892    5.2241   11.7325    0.4352    0.1819    0.1644    5.5652    1.6802
+#&gt; 87:    93.8127   -6.7015   -0.1499    2.2019   -0.9891    4.9629   11.1459    0.4292    0.1977    0.1661    5.7122    1.6713
+#&gt; 88:    93.6777   -6.7044   -0.1440    2.2074   -1.0050    4.7148   10.5886    0.4379    0.1878    0.1750    5.6084    1.7096
+#&gt; 89:    94.0481   -6.2990   -0.1443    2.2085   -0.9869    4.4790   10.0591    0.4355    0.1951    0.1688    5.4280    1.8093
+#&gt; 90:    93.6399   -6.3965   -0.1429    2.2138   -0.9737    5.1306    9.5562    0.4367    0.1917    0.1604    5.5652    1.7458
+#&gt; 91:    93.8670   -6.3075   -0.1426    2.2128   -0.9856    5.1368    9.0784    0.4427    0.1993    0.1546    5.3927    1.8246
+#&gt; 92:    93.7332   -6.4793   -0.1426    2.2091   -0.9835    5.0102    8.6245    0.4427    0.1986    0.1585    5.4463    1.7343
+#&gt; 93:    93.8211   -6.3270   -0.1416    2.2123   -0.9941    4.7597    8.1932    0.4431    0.1908    0.1689    5.5213    1.7093
+#&gt; 94:    93.7499   -6.0880   -0.1390    2.2158   -0.9960    5.1992    7.7836    0.4444    0.1958    0.1733    5.5329    1.7880
+#&gt; 95:    93.6253   -6.2196   -0.1436    2.2126   -1.0053    4.9392    7.3944    0.4383    0.2011    0.1717    5.6042    1.7460
+#&gt; 96:    93.8862   -6.1475   -0.1408    2.2211   -0.9922    4.6923    7.0247    0.4347    0.2077    0.1669    5.6807    1.6943
+#&gt; 97:    93.7610   -6.2409   -0.1368    2.2281   -0.9864    4.4576    6.6734    0.4313    0.2084    0.1723    5.5387    1.7075
+#&gt; 98:    93.5362   -6.3378   -0.1368    2.2294   -0.9813    4.2348    6.3398    0.4313    0.2127    0.1877    5.5850    1.6627
+#&gt; 99:    93.5044   -6.2557   -0.1311    2.2282   -0.9993    4.0230    6.0228    0.4461    0.2167    0.1879    5.6437    1.7076
+#&gt; 100:    93.3102   -6.3602   -0.1311    2.2368   -1.0040    3.8219    5.7216    0.4461    0.2139    0.1875    5.8029    1.7592
+#&gt; 101:    93.4687   -6.0385   -0.1241    2.2347   -1.0031    3.6308    5.4356    0.4483    0.2035    0.1816    6.0097    1.7002
+#&gt; 102:    93.6536   -6.2867   -0.1299    2.2421   -1.0002    3.4492    5.1743    0.4434    0.1993    0.1872    5.8540    1.7162
+#&gt; 103:    93.9532   -6.2261   -0.1277    2.2361   -0.9931    3.2768    5.0546    0.4450    0.2069    0.1884    5.6688    1.7324
+#&gt; 104:    93.9839   -6.1980   -0.1287    2.2286   -1.0081    3.1129    5.0671    0.4475    0.1997    0.1985    5.7690    1.7636
+#&gt; 105:    94.1682   -6.1671   -0.1283    2.2217   -1.0154    2.9573    4.8137    0.4481    0.1976    0.1965    5.9277    1.7386
+#&gt; 106:    94.2778   -6.1839   -0.1243    2.2323   -1.0022    3.5381    4.5730    0.4707    0.1980    0.1932    5.7059    1.7184
+#&gt; 107:    94.3667   -5.9941   -0.1182    2.2283   -1.0191    3.3612    4.3444    0.4753    0.1984    0.1986    5.7813    1.7446
+#&gt; 108:    94.2722   -6.1869   -0.1171    2.2293   -1.0027    3.6659    4.6329    0.4742    0.1986    0.2011    5.7827    1.7074
+#&gt; 109:    94.1997   -6.2385   -0.1172    2.2241   -1.0083    3.4826    4.7954    0.4721    0.2027    0.2020    5.8339    1.7650
+#&gt; 110:    94.3017   -6.3774   -0.1291    2.2229   -0.9857    3.7634    5.8516    0.4810    0.2126    0.1984    5.7961    1.6706
+#&gt; 111:    93.9803   -6.0240   -0.1258    2.2273   -0.9879    3.5752    5.5590    0.4749    0.2060    0.1976    5.6243    1.7082
+#&gt; 112:    94.1307   -6.0036   -0.1253    2.2365   -0.9886    4.0368    5.2810    0.4760    0.2060    0.1975    5.5732    1.7063
+#&gt; 113:    93.8676   -6.2496   -0.1118    2.2600   -1.0080    3.8350    5.0170    0.4855    0.2109    0.2006    5.6406    1.7357
+#&gt; 114:    93.5949   -6.3200   -0.1044    2.2449   -1.0172    3.6472    4.7661    0.4868    0.2095    0.2131    5.7690    1.7428
+#&gt; 115:    93.6997   -6.3282   -0.1046    2.2567   -1.0135    3.4648    4.8622    0.4876    0.2264    0.2134    5.8853    1.7823
+#&gt; 116:    93.8191   -6.0802   -0.1087    2.2535   -1.0011    3.4347    4.6191    0.4786    0.2176    0.2108    5.6553    1.7802
+#&gt; 117:    93.8575   -6.0930   -0.1022    2.2498   -0.9898    3.3071    4.3881    0.4822    0.2163    0.2075    5.7806    1.8150
+#&gt; 118:    93.9164   -5.9787   -0.1133    2.2535   -0.9861    4.2578    4.1687    0.4687    0.2198    0.2088    5.4441    1.8411
+#&gt; 119:    93.8748   -6.0108   -0.1165    2.2488   -0.9775    4.0449    3.9603    0.4653    0.2271    0.2032    5.6119    1.7501
+#&gt; 120:    93.6001   -6.0447   -0.1144    2.2477   -0.9821    3.8426    3.7623    0.4641    0.2223    0.2055    5.6454    1.7244
+#&gt; 121:    93.6712   -5.9851   -0.1195    2.2484   -0.9917    3.6505    3.5742    0.4600    0.2143    0.2010    5.4083    1.7965
+#&gt; 122:    93.6859   -6.0390   -0.1145    2.2497   -0.9888    3.4680    3.5595    0.4618    0.2136    0.1986    5.4111    1.7519
+#&gt; 123:    93.6014   -5.8383   -0.1145    2.2584   -0.9893    3.6047    3.3815    0.4618    0.2155    0.2045    5.3624    1.7023
+#&gt; 124:    93.6333   -5.7861   -0.1131    2.2556   -0.9872    3.4245    3.2125    0.4621    0.2153    0.2025    5.3930    1.7036
+#&gt; 125:    93.4504   -5.9483   -0.1154    2.2531   -0.9924    3.2533    3.0518    0.4640    0.2175    0.2030    5.5097    1.6830
+#&gt; 126:    93.5693   -5.8818   -0.1120    2.2506   -0.9960    3.0906    2.8992    0.4606    0.2267    0.2016    5.4583    1.6650
+#&gt; 127:    93.7074   -5.8191   -0.1178    2.2412   -0.9891    2.9361    2.7543    0.4688    0.2234    0.2039    5.4861    1.8125
+#&gt; 128:    93.5959   -5.8842   -0.1179    2.2544   -0.9985    3.0224    2.6166    0.4700    0.2237    0.2019    5.6417    1.8454
+#&gt; 129:    93.5600   -5.8683   -0.1161    2.2365   -0.9987    3.4186    2.4857    0.4721    0.2182    0.1918    5.4391    1.8145
+#&gt; 130:    93.4104   -5.8226   -0.1126    2.2355   -0.9892    3.3648    2.4231    0.4763    0.2212    0.1873    5.3999    1.7457
+#&gt; 131:    93.5045   -5.7255   -0.1118    2.2486   -0.9918    4.1951    2.3020    0.4776    0.2121    0.1927    5.4342    1.7744
+#&gt; 132:    93.2626   -5.8379   -0.1097    2.2510   -0.9933    3.9853    2.5572    0.4763    0.2114    0.1966    5.2979    1.7239
+#&gt; 133:    93.4370   -5.9097   -0.1049    2.2578   -0.9939    4.2190    2.8246    0.4738    0.2036    0.2020    5.2853    1.6765
+#&gt; 134:    93.8665   -5.9439   -0.1035    2.2654   -0.9832    4.0081    3.1228    0.4756    0.2102    0.1961    5.3467    1.7177
+#&gt; 135:    93.6301   -5.8062   -0.1031    2.2702   -0.9737    3.9024    2.9667    0.4748    0.2101    0.2003    5.3053    1.6977
+#&gt; 136:    93.7744   -5.9328   -0.1055    2.2685   -0.9764    3.7072    2.9952    0.4721    0.2096    0.1949    5.4319    1.6864
+#&gt; 137:    93.6734   -5.9886   -0.1107    2.2517   -0.9732    3.8811    3.4962    0.4642    0.2204    0.1924    5.4294    1.6684
+#&gt; 138:    93.7128   -5.9927   -0.1119    2.2517   -0.9775    3.6870    3.4543    0.4667    0.2204    0.1953    5.3912    1.7060
+#&gt; 139:    93.6530   -6.1296   -0.1210    2.2456   -0.9929    3.5027    4.6472    0.4527    0.2296    0.1855    5.4953    1.7242
+#&gt; 140:    93.9344   -6.2519   -0.1384    2.2304   -0.9970    3.6814    4.4707    0.4337    0.2182    0.1762    5.5643    1.7596
+#&gt; 141:    93.7356   -6.2804   -0.1296    2.2549   -0.9921    3.9811    4.4876    0.4218    0.2361    0.1674    5.3531    1.7175
+#&gt; 142:    93.7399   -6.0023   -0.1098    2.2611   -0.9815    3.7821    4.2632    0.4395    0.2421    0.1807    5.3139    1.7191
+#&gt; 143:    93.4732   -6.0376   -0.1108    2.2689   -0.9734    3.5930    4.0500    0.4396    0.2541    0.1718    5.2930    1.6229
+#&gt; 144:    93.4900   -5.9517   -0.1093    2.2876   -0.9675    3.4133    3.8475    0.4337    0.2542    0.1711    5.4258    1.5660
+#&gt; 145:    93.4090   -5.9596   -0.1000    2.2942   -0.9756    3.2426    3.6551    0.4274    0.2422    0.1671    5.3539    1.6971
+#&gt; 146:    93.4142   -5.9549   -0.0982    2.2846   -0.9704    3.0805    3.6092    0.4226    0.2339    0.1745    5.5092    1.6696
+#&gt; 147:    93.4409   -6.0720   -0.0971    2.2942   -0.9891    2.9265    3.9922    0.4224    0.2373    0.1781    5.5599    1.6080
+#&gt; 148:    93.4504   -6.2201   -0.0980    2.2855   -0.9832    2.7802    4.6985    0.4104    0.2464    0.1856    5.5016    1.5877
+#&gt; 149:    93.4240   -6.2122   -0.1005    2.2728   -0.9881    3.7659    4.7755    0.4082    0.2642    0.1885    5.4942    1.5534
+#&gt; 150:    93.5094   -6.1295   -0.1087    2.2717   -0.9941    3.5776    4.5367    0.4109    0.2611    0.1928    5.3468    1.5585
+#&gt; 151:    93.4038   -6.2751   -0.1130    2.2643   -0.9892    3.3987    4.9866    0.4172    0.2638    0.1905    5.4955    1.6256
+#&gt; 152:    93.5072   -6.3361   -0.1147    2.2627   -0.9988    2.3580    5.3824    0.4175    0.2656    0.1819    5.7685    1.6126
+#&gt; 153:    93.3582   -6.2019   -0.1227    2.2526   -0.9929    2.5874    4.7052    0.4348    0.2621    0.1810    5.5149    1.6181
+#&gt; 154:    93.1890   -6.3537   -0.1263    2.2446   -0.9871    2.4073    5.7070    0.4351    0.2586    0.1829    5.3136    1.6272
+#&gt; 155:    93.1706   -6.4117   -0.1260    2.2484   -0.9845    2.3035    6.0004    0.4463    0.2586    0.1781    5.4260    1.6494
+#&gt; 156:    93.3240   -6.3931   -0.1259    2.2469   -0.9824    2.5659    5.7375    0.4466    0.2781    0.1754    5.6202    1.6591
+#&gt; 157:    93.3239   -6.1812   -0.1242    2.2541   -0.9743    1.6054    4.5906    0.4478    0.2657    0.1758    5.6806    1.6367
+#&gt; 158:    93.3756   -6.2562   -0.1264    2.2706   -0.9888    1.5329    4.6790    0.4458    0.2532    0.1728    5.7756    1.6248
+#&gt; 159:    93.3034   -6.3291   -0.1217    2.2524   -0.9954    1.7774    5.7204    0.4532    0.2642    0.1715    5.8189    1.6830
+#&gt; 160:    93.4387   -6.5115   -0.1196    2.2488   -0.9846    2.2219    6.4960    0.4555    0.2728    0.1689    5.5273    1.6332
+#&gt; 161:    93.7646   -6.3820   -0.1231    2.2520   -0.9837    2.8322    5.7269    0.4498    0.2712    0.1730    5.3659    1.5787
+#&gt; 162:    93.6252   -6.4563   -0.1243    2.2472   -0.9867    2.8322    5.9119    0.4502    0.2671    0.1726    5.4519    1.5819
+#&gt; 163:    93.6787   -6.6444   -0.1292    2.2366   -0.9899    2.0520    7.4835    0.4556    0.2705    0.1689    5.4095    1.5883
+#&gt; 164:    93.7458   -6.9330   -0.1257    2.2430   -0.9872    1.7825    9.4340    0.4495    0.2701    0.1593    5.4517    1.6116
+#&gt; 165:    93.7370   -6.9118   -0.1250    2.2421   -0.9832    1.9949   10.6549    0.4499    0.2685    0.1622    5.6272    1.6075
+#&gt; 166:    94.0889   -6.8704   -0.1276    2.2409   -0.9872    1.5618   10.4435    0.4482    0.2608    0.1648    5.5891    1.6208
+#&gt; 167:    94.1319   -7.2779   -0.1206    2.2505   -0.9894    1.5063   13.4312    0.4393    0.2549    0.1661    5.6013    1.6043
+#&gt; 168:    93.8341   -6.9310   -0.1140    2.2495   -0.9844    1.7329   11.3224    0.4463    0.2540    0.1629    5.8366    1.6765
+#&gt; 169:    93.8923   -6.6547   -0.1173    2.2620   -0.9872    1.4531    8.4608    0.4419    0.2414    0.1666    5.8784    1.6268
+#&gt; 170:    94.0072   -6.3970   -0.1173    2.2606   -0.9861    1.4164    6.9237    0.4419    0.2468    0.1656    5.8793    1.6387
+#&gt; 171:    93.8690   -6.5151   -0.1079    2.2482   -0.9880    1.9225    7.7681    0.4547    0.2404    0.1523    6.0158    1.6281
+#&gt; 172:    93.6847   -6.3416   -0.1095    2.2438   -0.9849    2.0143    5.5739    0.4498    0.2450    0.1534    6.1355    1.6422
+#&gt; 173:    93.4817   -6.3165   -0.1115    2.2573   -0.9885    1.6855    5.5626    0.4440    0.2471    0.1542    6.1343    1.6337
+#&gt; 174:    93.6781   -6.2722   -0.1113    2.2521   -0.9958    1.9186    5.3383    0.4471    0.2427    0.1565    6.1081    1.6358
+#&gt; 175:    93.7764   -6.1664   -0.1113    2.2468   -0.9864    1.6286    4.6233    0.4471    0.2426    0.1596    5.8892    1.6375
+#&gt; 176:    93.9246   -6.2164   -0.1160    2.2529   -0.9853    1.0357    4.8013    0.4422    0.2471    0.1756    5.7340    1.6016
+#&gt; 177:    93.9711   -6.1274   -0.1112    2.2540   -0.9883    1.2079    4.1536    0.4415    0.2492    0.1783    5.8399    1.6291
+#&gt; 178:    93.9212   -6.0532   -0.1116    2.2593   -0.9742    1.2409    3.6443    0.4489    0.2458    0.1683    5.8422    1.6290
+#&gt; 179:    94.0137   -6.0739   -0.1095    2.2664   -0.9778    1.5060    3.9878    0.4506    0.2370    0.1746    6.0349    1.6326
+#&gt; 180:    93.9247   -6.0681   -0.1130    2.2660   -0.9934    1.9619    3.9582    0.4474    0.2328    0.1773    5.8082    1.6740
+#&gt; 181:    93.7150   -6.0191   -0.1153    2.2558   -0.9915    2.6849    3.7075    0.4491    0.2283    0.1759    5.7187    1.6842
+#&gt; 182:    93.5908   -6.1098   -0.1111    2.2769   -0.9942    3.0096    3.9325    0.4643    0.2275    0.1736    5.9243    1.6466
+#&gt; 183:    93.3386   -6.0987   -0.1131    2.2630   -0.9962    3.5457    4.1285    0.4693    0.2373    0.1751    5.6948    1.7222
+#&gt; 184:    93.4889   -6.3097   -0.1134    2.2660   -0.9720    3.0855    5.2642    0.4648    0.2255    0.1585    5.6827    1.7444
+#&gt; 185:    93.6387   -6.1883   -0.1188    2.2622   -0.9603    3.3568    4.8291    0.4554    0.2223    0.1681    5.7089    1.8164
+#&gt; 186:    93.3420   -6.2909   -0.1195    2.2656   -0.9835    3.2124    4.8317    0.4541    0.2286    0.1531    5.7574    1.7708
+#&gt; 187:    93.4395   -6.0358   -0.1165    2.2528   -0.9917    3.8299    3.3301    0.4518    0.2370    0.1593    5.8508    1.6988
+#&gt; 188:    93.5358   -6.0105   -0.1161    2.2540   -0.9813    5.1249    3.3448    0.4522    0.2361    0.1660    5.8700    1.6525
+#&gt; 189:    93.4932   -6.1199   -0.1129    2.2636   -0.9812    4.5430    4.3213    0.4428    0.2359    0.1907    5.6970    1.7268
+#&gt; 190:    93.4754   -5.9088   -0.1171    2.2564   -0.9614    4.6253    3.2590    0.4410    0.2399    0.1864    5.7116    1.8140
+#&gt; 191:    93.4709   -5.9676   -0.1171    2.2568   -0.9748    4.8326    3.6704    0.4410    0.2428    0.1812    5.5925    1.7267
+#&gt; 192:    93.3895   -5.9940   -0.1191    2.2523   -0.9691    4.3019    3.5174    0.4360    0.2484    0.1591    5.4631    1.7057
+#&gt; 193:    93.4904   -6.0400   -0.1173    2.2519   -0.9697    4.6476    3.6255    0.4389    0.2388    0.1694    5.5362    1.7174
+#&gt; 194:    93.4591   -5.9642   -0.1245    2.2626   -0.9559    5.3125    3.8133    0.4297    0.2550    0.1660    5.7591    1.7344
+#&gt; 195:    93.6610   -6.2211   -0.1226    2.2580   -0.9669    5.2051    4.9271    0.4318    0.2414    0.1811    5.7010    1.7710
+#&gt; 196:    93.4249   -5.9570   -0.1068    2.2735   -0.9727    5.1049    3.4872    0.4442    0.2429    0.1815    5.7753    1.7379
+#&gt; 197:    93.4082   -6.0568   -0.1054    2.2754   -0.9865    5.2827    3.9305    0.4554    0.2408    0.1925    5.7514    1.7163
+#&gt; 198:    93.3856   -5.8616   -0.1087    2.2708   -0.9686    4.1369    3.0197    0.4530    0.2473    0.1878    5.6920    1.7043
+#&gt; 199:    93.5488   -6.0494   -0.1167    2.2682   -0.9719    3.8010    3.8897    0.4600    0.2445    0.1860    5.7126    1.6605
+#&gt; 200:    93.3779   -5.9779   -0.1110    2.2761   -0.9780    3.5955    3.4721    0.4595    0.2468    0.1941    5.7539    1.6736
+#&gt; 201:    93.4946   -6.0259   -0.1102    2.2676   -0.9755    3.0583    3.7305    0.4592    0.2554    0.1921    5.8877    1.6730
+#&gt; 202:    93.4698   -6.0522   -0.1110    2.2685   -0.9703    2.9421    3.8718    0.4579    0.2595    0.1906    5.8527    1.6701
+#&gt; 203:    93.4625   -6.0744   -0.1132    2.2642   -0.9696    3.1854    4.0983    0.4589    0.2596    0.1886    5.7532    1.6655
+#&gt; 204:    93.4984   -6.0853   -0.1138    2.2589   -0.9718    3.2826    4.1667    0.4581    0.2588    0.1851    5.7274    1.6694
+#&gt; 205:    93.5279   -6.1054   -0.1151    2.2562   -0.9742    3.3257    4.2680    0.4569    0.2584    0.1832    5.6976    1.6777
+#&gt; 206:    93.6025   -6.1087   -0.1174    2.2518   -0.9767    3.2399    4.2443    0.4582    0.2589    0.1822    5.6809    1.6775
+#&gt; 207:    93.6382   -6.0990   -0.1204    2.2481   -0.9801    3.2768    4.1473    0.4579    0.2591    0.1823    5.6460    1.6819
+#&gt; 208:    93.6250   -6.0878   -0.1224    2.2438   -0.9812    3.1815    4.0872    0.4579    0.2577    0.1818    5.6256    1.6887
+#&gt; 209:    93.6102   -6.0740   -0.1255    2.2394   -0.9803    3.1716    3.9968    0.4561    0.2573    0.1812    5.6063    1.6886
+#&gt; 210:    93.6005   -6.0571   -0.1277    2.2348   -0.9799    3.2408    3.8923    0.4548    0.2572    0.1798    5.5849    1.6912
+#&gt; 211:    93.6270   -6.0425   -0.1306    2.2292   -0.9807    3.3500    3.8267    0.4538    0.2586    0.1792    5.5578    1.6992
+#&gt; 212:    93.6641   -6.0403   -0.1331    2.2253   -0.9806    3.4487    3.8366    0.4529    0.2596    0.1786    5.5422    1.7022
+#&gt; 213:    93.6743   -6.0344   -0.1354    2.2214   -0.9800    3.5484    3.8260    0.4518    0.2606    0.1781    5.5250    1.7069
+#&gt; 214:    93.6719   -6.0405   -0.1377    2.2179   -0.9804    3.5538    3.8785    0.4506    0.2612    0.1769    5.5148    1.7087
+#&gt; 215:    93.6743   -6.0403   -0.1396    2.2146   -0.9801    3.5578    3.9180    0.4496    0.2615    0.1761    5.5118    1.7094
+#&gt; 216:    93.6666   -6.0436   -0.1413    2.2115   -0.9796    3.5848    3.9484    0.4488    0.2624    0.1755    5.5015    1.7116
+#&gt; 217:    93.6715   -6.0438   -0.1430    2.2086   -0.9794    3.6188    3.9603    0.4478    0.2631    0.1748    5.4884    1.7132
+#&gt; 218:    93.6765   -6.0488   -0.1441    2.2060   -0.9796    3.6126    3.9885    0.4471    0.2632    0.1746    5.4714    1.7156
+#&gt; 219:    93.6714   -6.0557   -0.1453    2.2038   -0.9798    3.6603    4.0118    0.4463    0.2632    0.1735    5.4593    1.7235
+#&gt; 220:    93.6728   -6.0711   -0.1462    2.2027   -0.9794    3.7244    4.0910    0.4457    0.2639    0.1730    5.4531    1.7241
+#&gt; 221:    93.6723   -6.0822   -0.1470    2.2015   -0.9788    3.7754    4.1554    0.4450    0.2647    0.1724    5.4511    1.7247
+#&gt; 222:    93.6789   -6.0745   -0.1480    2.1998   -0.9780    3.8735    4.1186    0.4442    0.2662    0.1718    5.4419    1.7258
+#&gt; 223:    93.6891   -6.0700   -0.1488    2.1984   -0.9778    3.9353    4.0998    0.4434    0.2681    0.1715    5.4375    1.7251
+#&gt; 224:    93.7125   -6.0705   -0.1496    2.1976   -0.9774    4.0220    4.0861    0.4427    0.2697    0.1711    5.4378    1.7230
+#&gt; 225:    93.7332   -6.0695   -0.1502    2.1966   -0.9775    4.0553    4.0669    0.4422    0.2712    0.1711    5.4355    1.7205
+#&gt; 226:    93.7631   -6.0712   -0.1508    2.1951   -0.9779    4.0755    4.0572    0.4417    0.2728    0.1712    5.4347    1.7190
+#&gt; 227:    93.7912   -6.0687   -0.1512    2.1938   -0.9785    4.0621    4.0439    0.4409    0.2742    0.1716    5.4325    1.7189
+#&gt; 228:    93.8077   -6.0644   -0.1517    2.1927   -0.9791    4.0246    4.0190    0.4400    0.2755    0.1722    5.4269    1.7193
+#&gt; 229:    93.8255   -6.0661   -0.1521    2.1909   -0.9796    3.9958    4.0166    0.4392    0.2769    0.1725    5.4214    1.7214
+#&gt; 230:    93.8403   -6.0766   -0.1530    2.1895   -0.9802    4.0152    4.0548    0.4380    0.2788    0.1730    5.4214    1.7232
+#&gt; 231:    93.8549   -6.0768   -0.1541    2.1877   -0.9810    4.0690    4.0542    0.4368    0.2803    0.1734    5.4157    1.7236
+#&gt; 232:    93.8666   -6.0728   -0.1550    2.1858   -0.9816    4.0852    4.0337    0.4356    0.2818    0.1736    5.4136    1.7224
+#&gt; 233:    93.8728   -6.0672   -0.1557    2.1844   -0.9820    4.1001    4.0000    0.4346    0.2828    0.1738    5.4028    1.7243
+#&gt; 234:    93.8862   -6.0646   -0.1563    2.1830   -0.9825    4.1303    3.9850    0.4337    0.2838    0.1737    5.3924    1.7222
+#&gt; 235:    93.8862   -6.0632   -0.1570    2.1819   -0.9827    4.1149    3.9735    0.4329    0.2847    0.1737    5.3846    1.7225
+#&gt; 236:    93.8827   -6.0639   -0.1577    2.1814   -0.9834    4.1004    3.9711    0.4322    0.2852    0.1739    5.3838    1.7220
+#&gt; 237:    93.8729   -6.0680   -0.1582    2.1808   -0.9840    4.0606    3.9866    0.4316    0.2857    0.1741    5.3806    1.7213
+#&gt; 238:    93.8739   -6.0733   -0.1587    2.1806   -0.9845    4.0331    4.0011    0.4311    0.2859    0.1742    5.3775    1.7199
+#&gt; 239:    93.8732   -6.0729   -0.1591    2.1802   -0.9853    3.9850    3.9892    0.4307    0.2859    0.1744    5.3782    1.7216
+#&gt; 240:    93.8760   -6.0754   -0.1595    2.1796   -0.9854    3.9349    3.9867    0.4303    0.2858    0.1747    5.3781    1.7232
+#&gt; 241:    93.8779   -6.0749   -0.1599    2.1791   -0.9853    3.9241    3.9801    0.4299    0.2858    0.1748    5.3757    1.7228
+#&gt; 242:    93.8842   -6.0716   -0.1602    2.1786   -0.9852    3.9394    3.9651    0.4297    0.2859    0.1749    5.3726    1.7224
+#&gt; 243:    93.8884   -6.0719   -0.1606    2.1778   -0.9851    3.9310    3.9741    0.4295    0.2857    0.1750    5.3705    1.7224
+#&gt; 244:    93.8910   -6.0712   -0.1610    2.1771   -0.9850    3.9173    3.9819    0.4294    0.2856    0.1749    5.3700    1.7222
+#&gt; 245:    93.9054   -6.0736   -0.1614    2.1764   -0.9854    3.9106    3.9984    0.4293    0.2856    0.1748    5.3711    1.7217
+#&gt; 246:    93.9209   -6.0753   -0.1617    2.1757   -0.9859    3.9080    4.0071    0.4291    0.2852    0.1746    5.3711    1.7215
+#&gt; 247:    93.9273   -6.0846   -0.1621    2.1752   -0.9861    3.8790    4.0580    0.4286    0.2851    0.1745    5.3755    1.7206
+#&gt; 248:    93.9265   -6.0884   -0.1625    2.1749   -0.9865    3.8613    4.0784    0.4286    0.2848    0.1744    5.3760    1.7198
+#&gt; 249:    93.9286   -6.0926   -0.1627    2.1746   -0.9872    3.8663    4.1008    0.4287    0.2845    0.1745    5.3755    1.7195
+#&gt; 250:    93.9287   -6.0968   -0.1629    2.1744   -0.9878    3.8822    4.1269    0.4289    0.2844    0.1743    5.3755    1.7201
+#&gt; 251:    93.9314   -6.1017   -0.1630    2.1739   -0.9882    3.8878    4.1495    0.4291    0.2843    0.1744    5.3729    1.7200
+#&gt; 252:    93.9351   -6.1036   -0.1632    2.1734   -0.9885    3.8908    4.1545    0.4293    0.2843    0.1746    5.3684    1.7191
+#&gt; 253:    93.9415   -6.1053   -0.1634    2.1729   -0.9889    3.8727    4.1602    0.4294    0.2842    0.1747    5.3650    1.7196
+#&gt; 254:    93.9473   -6.1088   -0.1636    2.1723   -0.9891    3.8657    4.1769    0.4296    0.2843    0.1749    5.3666    1.7190
+#&gt; 255:    93.9505   -6.1087   -0.1639    2.1717   -0.9888    3.8457    4.1720    0.4298    0.2841    0.1749    5.3617    1.7191
+#&gt; 256:    93.9497   -6.1054   -0.1642    2.1715   -0.9885    3.8395    4.1559    0.4299    0.2839    0.1749    5.3598    1.7192
+#&gt; 257:    93.9477   -6.1008   -0.1643    2.1713   -0.9882    3.8383    4.1360    0.4299    0.2836    0.1749    5.3567    1.7196
+#&gt; 258:    93.9402   -6.0998   -0.1645    2.1713   -0.9880    3.8516    4.1288    0.4300    0.2832    0.1749    5.3565    1.7190
+#&gt; 259:    93.9318   -6.0979   -0.1646    2.1711   -0.9879    3.8396    4.1182    0.4301    0.2829    0.1750    5.3583    1.7188
+#&gt; 260:    93.9277   -6.1002   -0.1646    2.1713   -0.9879    3.8173    4.1273    0.4304    0.2826    0.1751    5.3611    1.7186
+#&gt; 261:    93.9251   -6.0973   -0.1646    2.1714   -0.9879    3.8140    4.1105    0.4306    0.2822    0.1750    5.3588    1.7192
+#&gt; 262:    93.9186   -6.1009   -0.1647    2.1715   -0.9880    3.8177    4.1303    0.4308    0.2822    0.1750    5.3604    1.7194
+#&gt; 263:    93.9130   -6.1033   -0.1646    2.1715   -0.9880    3.8029    4.1529    0.4309    0.2822    0.1748    5.3647    1.7188
+#&gt; 264:    93.9040   -6.1077   -0.1645    2.1717   -0.9879    3.7950    4.1820    0.4310    0.2822    0.1747    5.3699    1.7184
+#&gt; 265:    93.9012   -6.1071   -0.1645    2.1714   -0.9879    3.7834    4.1895    0.4310    0.2822    0.1746    5.3755    1.7191
+#&gt; 266:    93.8988   -6.1051   -0.1644    2.1714   -0.9879    3.7788    4.1822    0.4311    0.2822    0.1745    5.3765    1.7203
+#&gt; 267:    93.8964   -6.1059   -0.1643    2.1714   -0.9877    3.7774    4.1896    0.4311    0.2822    0.1744    5.3792    1.7197
+#&gt; 268:    93.8901   -6.1092   -0.1643    2.1715   -0.9876    3.7790    4.2198    0.4310    0.2822    0.1742    5.3811    1.7200
+#&gt; 269:    93.8842   -6.1105   -0.1643    2.1717   -0.9875    3.7620    4.2336    0.4310    0.2823    0.1742    5.3838    1.7193
+#&gt; 270:    93.8760   -6.1125   -0.1643    2.1721   -0.9874    3.7668    4.2483    0.4308    0.2823    0.1741    5.3852    1.7181
+#&gt; 271:    93.8705   -6.1149   -0.1643    2.1722   -0.9873    3.7785    4.2625    0.4306    0.2823    0.1742    5.3853    1.7172
+#&gt; 272:    93.8674   -6.1149   -0.1643    2.1723   -0.9871    3.7829    4.2581    0.4304    0.2823    0.1743    5.3836    1.7162
+#&gt; 273:    93.8644   -6.1159   -0.1642    2.1725   -0.9870    3.7910    4.2631    0.4303    0.2825    0.1743    5.3818    1.7154
+#&gt; 274:    93.8585   -6.1158   -0.1640    2.1728   -0.9869    3.7926    4.2612    0.4302    0.2825    0.1743    5.3816    1.7147
+#&gt; 275:    93.8564   -6.1151   -0.1639    2.1732   -0.9867    3.8053    4.2581    0.4301    0.2826    0.1743    5.3804    1.7143
+#&gt; 276:    93.8564   -6.1132   -0.1638    2.1736   -0.9866    3.7958    4.2486    0.4300    0.2827    0.1745    5.3810    1.7144
+#&gt; 277:    93.8564   -6.1120   -0.1637    2.1741   -0.9867    3.7952    4.2426    0.4298    0.2829    0.1747    5.3808    1.7148
+#&gt; 278:    93.8528   -6.1113   -0.1636    2.1743   -0.9867    3.7922    4.2352    0.4297    0.2832    0.1750    5.3819    1.7144
+#&gt; 279:    93.8503   -6.1124   -0.1636    2.1744   -0.9867    3.7930    4.2390    0.4298    0.2834    0.1753    5.3826    1.7144
+#&gt; 280:    93.8466   -6.1146   -0.1636    2.1743   -0.9867    3.7946    4.2470    0.4299    0.2838    0.1755    5.3832    1.7142
+#&gt; 281:    93.8435   -6.1165   -0.1638    2.1743   -0.9867    3.7994    4.2552    0.4298    0.2840    0.1756    5.3828    1.7140
+#&gt; 282:    93.8421   -6.1162   -0.1639    2.1741   -0.9868    3.7967    4.2496    0.4296    0.2843    0.1758    5.3816    1.7137
+#&gt; 283:    93.8382   -6.1146   -0.1641    2.1740   -0.9866    3.7957    4.2387    0.4294    0.2845    0.1760    5.3796    1.7135
+#&gt; 284:    93.8356   -6.1131   -0.1641    2.1740   -0.9865    3.7904    4.2263    0.4292    0.2848    0.1762    5.3776    1.7127
+#&gt; 285:    93.8349   -6.1113   -0.1642    2.1740   -0.9865    3.7841    4.2129    0.4291    0.2850    0.1765    5.3763    1.7130
+#&gt; 286:    93.8372   -6.1095   -0.1643    2.1741   -0.9864    3.7801    4.2035    0.4289    0.2853    0.1769    5.3779    1.7130
+#&gt; 287:    93.8393   -6.1077   -0.1643    2.1741   -0.9864    3.7804    4.1908    0.4287    0.2857    0.1771    5.3785    1.7132
+#&gt; 288:    93.8395   -6.1071   -0.1644    2.1740   -0.9866    3.7714    4.1834    0.4284    0.2859    0.1772    5.3798    1.7120
+#&gt; 289:    93.8398   -6.1065   -0.1645    2.1738   -0.9865    3.7635    4.1765    0.4282    0.2861    0.1774    5.3821    1.7111
+#&gt; 290:    93.8376   -6.1089   -0.1647    2.1737   -0.9865    3.7495    4.1853    0.4281    0.2863    0.1776    5.3852    1.7106
+#&gt; 291:    93.8341   -6.1091   -0.1647    2.1738   -0.9863    3.7340    4.1854    0.4278    0.2865    0.1776    5.3868    1.7098
+#&gt; 292:    93.8329   -6.1080   -0.1647    2.1741   -0.9863    3.7189    4.1760    0.4275    0.2868    0.1777    5.3885    1.7091
+#&gt; 293:    93.8312   -6.1065   -0.1647    2.1743   -0.9862    3.7091    4.1651    0.4272    0.2871    0.1778    5.3896    1.7086
+#&gt; 294:    93.8310   -6.1042   -0.1647    2.1745   -0.9861    3.6946    4.1521    0.4269    0.2874    0.1780    5.3908    1.7077
+#&gt; 295:    93.8299   -6.1033   -0.1648    2.1747   -0.9861    3.6968    4.1433    0.4265    0.2880    0.1781    5.3904    1.7066
+#&gt; 296:    93.8276   -6.1027   -0.1648    2.1749   -0.9862    3.7072    4.1361    0.4261    0.2885    0.1782    5.3910    1.7056
+#&gt; 297:    93.8212   -6.1015   -0.1647    2.1750   -0.9859    3.7253    4.1278    0.4256    0.2891    0.1783    5.3927    1.7051
+#&gt; 298:    93.8173   -6.0980   -0.1647    2.1751   -0.9858    3.7552    4.1115    0.4251    0.2897    0.1784    5.3932    1.7045
+#&gt; 299:    93.8168   -6.0984   -0.1646    2.1754   -0.9856    3.7687    4.1143    0.4246    0.2902    0.1786    5.3949    1.7037
+#&gt; 300:    93.8154   -6.0967   -0.1646    2.1756   -0.9855    3.7888    4.1072    0.4241    0.2906    0.1788    5.3962    1.7030
+#&gt; 301:    93.8129   -6.0946   -0.1646    2.1757   -0.9852    3.8097    4.1006    0.4236    0.2911    0.1791    5.3971    1.7026
+#&gt; 302:    93.8120   -6.0932   -0.1646    2.1759   -0.9849    3.8403    4.0955    0.4231    0.2917    0.1792    5.3971    1.7021
+#&gt; 303:    93.8115   -6.0942   -0.1646    2.1762   -0.9850    3.8602    4.1004    0.4227    0.2922    0.1795    5.3976    1.7020
+#&gt; 304:    93.8106   -6.0979   -0.1645    2.1765   -0.9850    3.8898    4.1217    0.4222    0.2926    0.1798    5.3975    1.7024
+#&gt; 305:    93.8091   -6.1009   -0.1644    2.1767   -0.9851    3.9165    4.1374    0.4218    0.2931    0.1801    5.3989    1.7024
+#&gt; 306:    93.8090   -6.1043   -0.1644    2.1770   -0.9850    3.9485    4.1617    0.4214    0.2936    0.1803    5.3998    1.7021
+#&gt; 307:    93.8082   -6.1063   -0.1644    2.1772   -0.9850    3.9730    4.1797    0.4210    0.2940    0.1803    5.3998    1.7017
+#&gt; 308:    93.8093   -6.1090   -0.1644    2.1775   -0.9850    3.9874    4.2026    0.4205    0.2945    0.1804    5.3996    1.7006
+#&gt; 309:    93.8092   -6.1122   -0.1643    2.1777   -0.9849    3.9948    4.2297    0.4201    0.2948    0.1804    5.4001    1.6998
+#&gt; 310:    93.8080   -6.1142   -0.1642    2.1780   -0.9850    3.9976    4.2436    0.4197    0.2951    0.1803    5.4016    1.6989
+#&gt; 311:    93.8094   -6.1164   -0.1641    2.1784   -0.9851    4.0015    4.2552    0.4194    0.2952    0.1803    5.4033    1.6978
+#&gt; 312:    93.8107   -6.1184   -0.1640    2.1788   -0.9851    4.0006    4.2628    0.4190    0.2954    0.1802    5.4042    1.6972
+#&gt; 313:    93.8118   -6.1190   -0.1640    2.1789   -0.9851    3.9991    4.2638    0.4186    0.2955    0.1802    5.4053    1.6967
+#&gt; 314:    93.8139   -6.1188   -0.1639    2.1791   -0.9851    4.0019    4.2619    0.4183    0.2956    0.1802    5.4049    1.6966
+#&gt; 315:    93.8152   -6.1173   -0.1639    2.1792   -0.9851    4.0111    4.2553    0.4179    0.2957    0.1802    5.4052    1.6966
+#&gt; 316:    93.8178   -6.1158   -0.1639    2.1792   -0.9851    4.0073    4.2498    0.4175    0.2957    0.1802    5.4050    1.6966
+#&gt; 317:    93.8205   -6.1155   -0.1639    2.1792   -0.9851    3.9999    4.2491    0.4172    0.2957    0.1802    5.4048    1.6963
+#&gt; 318:    93.8216   -6.1145   -0.1639    2.1792   -0.9850    3.9961    4.2438    0.4168    0.2957    0.1802    5.4031    1.6961
+#&gt; 319:    93.8241   -6.1143   -0.1639    2.1792   -0.9849    4.0009    4.2412    0.4164    0.2958    0.1801    5.4004    1.6956
+#&gt; 320:    93.8257   -6.1142   -0.1639    2.1792   -0.9849    4.0018    4.2380    0.4160    0.2958    0.1801    5.3986    1.6952
+#&gt; 321:    93.8280   -6.1134   -0.1639    2.1792   -0.9849    4.0055    4.2339    0.4156    0.2959    0.1802    5.3966    1.6950
+#&gt; 322:    93.8299   -6.1122   -0.1639    2.1793   -0.9848    4.0075    4.2274    0.4152    0.2959    0.1802    5.3969    1.6948
+#&gt; 323:    93.8318   -6.1123   -0.1639    2.1794   -0.9848    4.0087    4.2257    0.4149    0.2960    0.1802    5.3980    1.6941
+#&gt; 324:    93.8352   -6.1098   -0.1639    2.1795   -0.9848    4.0123    4.2136    0.4145    0.2960    0.1802    5.3988    1.6936
+#&gt; 325:    93.8374   -6.1072   -0.1638    2.1796   -0.9848    4.0230    4.2005    0.4142    0.2961    0.1802    5.3991    1.6933
+#&gt; 326:    93.8410   -6.1050   -0.1637    2.1796   -0.9849    4.0327    4.1891    0.4139    0.2963    0.1802    5.4004    1.6927
+#&gt; 327:    93.8457   -6.1023   -0.1637    2.1796   -0.9849    4.0327    4.1767    0.4135    0.2964    0.1802    5.4013    1.6922
+#&gt; 328:    93.8493   -6.1017   -0.1637    2.1797   -0.9850    4.0440    4.1730    0.4131    0.2964    0.1802    5.4019    1.6915
+#&gt; 329:    93.8515   -6.1001   -0.1637    2.1799   -0.9851    4.0556    4.1648    0.4128    0.2963    0.1803    5.4017    1.6912
+#&gt; 330:    93.8541   -6.1001   -0.1636    2.1800   -0.9852    4.0606    4.1631    0.4124    0.2962    0.1804    5.4025    1.6912
+#&gt; 331:    93.8539   -6.0994   -0.1635    2.1801   -0.9854    4.0654    4.1584    0.4120    0.2961    0.1805    5.4025    1.6907
+#&gt; 332:    93.8536   -6.0999   -0.1634    2.1803   -0.9854    4.0696    4.1601    0.4116    0.2960    0.1808    5.4027    1.6904
+#&gt; 333:    93.8531   -6.1002   -0.1633    2.1806   -0.9853    4.0682    4.1646    0.4112    0.2960    0.1810    5.4038    1.6893
+#&gt; 334:    93.8543   -6.1005   -0.1632    2.1809   -0.9852    4.0771    4.1690    0.4108    0.2960    0.1812    5.4040    1.6883
+#&gt; 335:    93.8552   -6.1010   -0.1631    2.1813   -0.9851    4.0888    4.1775    0.4104    0.2960    0.1813    5.4044    1.6878
+#&gt; 336:    93.8555   -6.1016   -0.1630    2.1817   -0.9850    4.0969    4.1858    0.4099    0.2961    0.1814    5.4046    1.6873
+#&gt; 337:    93.8553   -6.1025   -0.1628    2.1820   -0.9849    4.1152    4.1921    0.4094    0.2962    0.1815    5.4070    1.6863
+#&gt; 338:    93.8553   -6.1018   -0.1626    2.1824   -0.9848    4.1314    4.1904    0.4090    0.2963    0.1816    5.4080    1.6852
+#&gt; 339:    93.8567   -6.1004   -0.1625    2.1828   -0.9847    4.1449    4.1855    0.4087    0.2964    0.1817    5.4087    1.6841
+#&gt; 340:    93.8582   -6.0987   -0.1623    2.1832   -0.9846    4.1603    4.1799    0.4083    0.2965    0.1819    5.4086    1.6832
+#&gt; 341:    93.8589   -6.0962   -0.1620    2.1836   -0.9844    4.1692    4.1694    0.4079    0.2965    0.1820    5.4102    1.6828
+#&gt; 342:    93.8583   -6.0932   -0.1618    2.1841   -0.9844    4.1729    4.1563    0.4075    0.2966    0.1821    5.4117    1.6821
+#&gt; 343:    93.8590   -6.0906   -0.1615    2.1845   -0.9844    4.1840    4.1447    0.4071    0.2966    0.1822    5.4125    1.6819
+#&gt; 344:    93.8582   -6.0890   -0.1613    2.1851   -0.9845    4.1860    4.1347    0.4068    0.2968    0.1826    5.4135    1.6814
+#&gt; 345:    93.8576   -6.0876   -0.1610    2.1857   -0.9846    4.1889    4.1252    0.4064    0.2969    0.1829    5.4143    1.6810
+#&gt; 346:    93.8549   -6.0853   -0.1608    2.1862   -0.9845    4.1925    4.1121    0.4061    0.2969    0.1832    5.4157    1.6803
+#&gt; 347:    93.8540   -6.0829   -0.1605    2.1867   -0.9845    4.2031    4.0990    0.4058    0.2970    0.1834    5.4158    1.6803
+#&gt; 348:    93.8516   -6.0814   -0.1602    2.1873   -0.9845    4.2169    4.0885    0.4055    0.2971    0.1836    5.4174    1.6801
+#&gt; 349:    93.8505   -6.0797   -0.1600    2.1879   -0.9845    4.2253    4.0779    0.4052    0.2971    0.1837    5.4190    1.6799
+#&gt; 350:    93.8512   -6.0773   -0.1597    2.1885   -0.9845    4.2268    4.0657    0.4049    0.2972    0.1839    5.4209    1.6797
+#&gt; 351:    93.8507   -6.0754   -0.1595    2.1890   -0.9845    4.2245    4.0559    0.4046    0.2972    0.1840    5.4230    1.6794
+#&gt; 352:    93.8490   -6.0736   -0.1592    2.1896   -0.9845    4.2296    4.0474    0.4044    0.2973    0.1841    5.4252    1.6790
+#&gt; 353:    93.8460   -6.0718   -0.1589    2.1901   -0.9845    4.2356    4.0374    0.4042    0.2973    0.1843    5.4272    1.6790
+#&gt; 354:    93.8437   -6.0695   -0.1586    2.1906   -0.9845    4.2408    4.0255    0.4041    0.2973    0.1844    5.4303    1.6787
+#&gt; 355:    93.8420   -6.0679   -0.1584    2.1912   -0.9844    4.2428    4.0166    0.4040    0.2973    0.1845    5.4342    1.6785
+#&gt; 356:    93.8413   -6.0666   -0.1581    2.1916   -0.9843    4.2418    4.0072    0.4040    0.2973    0.1845    5.4348    1.6792
+#&gt; 357:    93.8406   -6.0650   -0.1578    2.1921   -0.9844    4.2531    3.9973    0.4040    0.2973    0.1846    5.4350    1.6798
+#&gt; 358:    93.8404   -6.0639   -0.1575    2.1926   -0.9844    4.2596    3.9901    0.4040    0.2973    0.1846    5.4357    1.6805
+#&gt; 359:    93.8373   -6.0630   -0.1572    2.1931   -0.9845    4.2724    3.9820    0.4039    0.2973    0.1848    5.4368    1.6816
+#&gt; 360:    93.8347   -6.0622   -0.1569    2.1936   -0.9845    4.2788    3.9747    0.4039    0.2973    0.1849    5.4377    1.6824
+#&gt; 361:    93.8327   -6.0626   -0.1566    2.1942   -0.9846    4.2919    3.9749    0.4038    0.2973    0.1850    5.4382    1.6831
+#&gt; 362:    93.8326   -6.0629   -0.1562    2.1947   -0.9846    4.2989    3.9737    0.4038    0.2973    0.1850    5.4408    1.6838
+#&gt; 363:    93.8316   -6.0629   -0.1559    2.1953   -0.9846    4.3007    3.9725    0.4037    0.2972    0.1850    5.4420    1.6842
+#&gt; 364:    93.8317   -6.0629   -0.1556    2.1957   -0.9846    4.2910    3.9739    0.4038    0.2971    0.1850    5.4430    1.6840
+#&gt; 365:    93.8317   -6.0629   -0.1553    2.1962   -0.9846    4.2878    3.9759    0.4040    0.2967    0.1849    5.4441    1.6839
+#&gt; 366:    93.8319   -6.0633   -0.1549    2.1966   -0.9845    4.2870    3.9823    0.4042    0.2963    0.1849    5.4461    1.6839
+#&gt; 367:    93.8320   -6.0636   -0.1546    2.1971   -0.9845    4.2828    3.9850    0.4042    0.2959    0.1849    5.4479    1.6843
+#&gt; 368:    93.8312   -6.0635   -0.1544    2.1975   -0.9844    4.2781    3.9859    0.4043    0.2955    0.1849    5.4475    1.6841
+#&gt; 369:    93.8301   -6.0640   -0.1541    2.1979   -0.9844    4.2760    3.9891    0.4043    0.2953    0.1850    5.4472    1.6835
+#&gt; 370:    93.8306   -6.0651   -0.1539    2.1983   -0.9844    4.2690    3.9967    0.4042    0.2950    0.1850    5.4484    1.6829
+#&gt; 371:    93.8312   -6.0669   -0.1536    2.1988   -0.9845    4.2613    4.0111    0.4042    0.2947    0.1851    5.4494    1.6822
+#&gt; 372:    93.8312   -6.0681   -0.1533    2.1992   -0.9845    4.2585    4.0252    0.4042    0.2945    0.1852    5.4513    1.6817
+#&gt; 373:    93.8307   -6.0681   -0.1531    2.1996   -0.9846    4.2605    4.0284    0.4042    0.2943    0.1853    5.4523    1.6815
+#&gt; 374:    93.8305   -6.0678   -0.1529    2.1999   -0.9846    4.2676    4.0279    0.4040    0.2942    0.1853    5.4533    1.6816
+#&gt; 375:    93.8313   -6.0673   -0.1528    2.2002   -0.9846    4.2708    4.0232    0.4038    0.2940    0.1854    5.4543    1.6813
+#&gt; 376:    93.8310   -6.0672   -0.1527    2.2004   -0.9846    4.2775    4.0214    0.4037    0.2938    0.1855    5.4538    1.6809
+#&gt; 377:    93.8298   -6.0666   -0.1526    2.2007   -0.9846    4.2787    4.0166    0.4035    0.2937    0.1856    5.4532    1.6806
+#&gt; 378:    93.8276   -6.0664   -0.1525    2.2009   -0.9846    4.2781    4.0135    0.4033    0.2935    0.1857    5.4538    1.6801
+#&gt; 379:    93.8262   -6.0671   -0.1524    2.2012   -0.9846    4.2800    4.0157    0.4031    0.2932    0.1857    5.4530    1.6803
+#&gt; 380:    93.8243   -6.0675   -0.1523    2.2015   -0.9846    4.2735    4.0168    0.4029    0.2929    0.1857    5.4523    1.6803
+#&gt; 381:    93.8233   -6.0677   -0.1522    2.2017   -0.9845    4.2670    4.0189    0.4027    0.2926    0.1858    5.4517    1.6798
+#&gt; 382:    93.8229   -6.0674   -0.1521    2.2019   -0.9845    4.2655    4.0211    0.4025    0.2924    0.1858    5.4510    1.6794
+#&gt; 383:    93.8196   -6.0681   -0.1521    2.2021   -0.9843    4.2696    4.0291    0.4023    0.2922    0.1859    5.4504    1.6788
+#&gt; 384:    93.8174   -6.0688   -0.1520    2.2023   -0.9842    4.2851    4.0333    0.4021    0.2919    0.1860    5.4500    1.6783
+#&gt; 385:    93.8156   -6.0682   -0.1518    2.2028   -0.9840    4.3056    4.0305    0.4019    0.2920    0.1862    5.4503    1.6774
+#&gt; 386:    93.8145   -6.0684   -0.1516    2.2032   -0.9838    4.3195    4.0302    0.4016    0.2920    0.1863    5.4499    1.6765
+#&gt; 387:    93.8121   -6.0679   -0.1514    2.2036   -0.9837    4.3290    4.0272    0.4014    0.2920    0.1864    5.4501    1.6756
+#&gt; 388:    93.8105   -6.0676   -0.1513    2.2040   -0.9835    4.3393    4.0267    0.4011    0.2920    0.1865    5.4509    1.6751
+#&gt; 389:    93.8089   -6.0664   -0.1510    2.2045   -0.9833    4.3458    4.0224    0.4009    0.2920    0.1865    5.4512    1.6746
+#&gt; 390:    93.8080   -6.0658   -0.1508    2.2049   -0.9832    4.3422    4.0199    0.4007    0.2920    0.1866    5.4514    1.6744
+#&gt; 391:    93.8077   -6.0669   -0.1507    2.2053   -0.9831    4.3500    4.0277    0.4007    0.2920    0.1867    5.4511    1.6740
+#&gt; 392:    93.8069   -6.0676   -0.1505    2.2056   -0.9831    4.3525    4.0326    0.4006    0.2920    0.1868    5.4500    1.6733
+#&gt; 393:    93.8072   -6.0678   -0.1504    2.2059   -0.9830    4.3562    4.0344    0.4005    0.2920    0.1868    5.4491    1.6725
+#&gt; 394:    93.8083   -6.0684   -0.1503    2.2061   -0.9829    4.3577    4.0386    0.4004    0.2920    0.1869    5.4493    1.6716
+#&gt; 395:    93.8086   -6.0685   -0.1501    2.2064   -0.9828    4.3574    4.0394    0.4003    0.2920    0.1869    5.4493    1.6709
+#&gt; 396:    93.8078   -6.0677   -0.1500    2.2067   -0.9827    4.3591    4.0355    0.4002    0.2921    0.1870    5.4493    1.6707
+#&gt; 397:    93.8064   -6.0668   -0.1499    2.2071   -0.9825    4.3621    4.0317    0.4000    0.2922    0.1871    5.4495    1.6704
+#&gt; 398:    93.8058   -6.0661   -0.1499    2.2073   -0.9823    4.3701    4.0285    0.3999    0.2923    0.1872    5.4491    1.6699
+#&gt; 399:    93.8057   -6.0651   -0.1498    2.2075   -0.9822    4.3803    4.0243    0.3997    0.2924    0.1872    5.4485    1.6699
+#&gt; 400:    93.8057   -6.0647   -0.1498    2.2076   -0.9820    4.3854    4.0225    0.3996    0.2924    0.1872    5.4488    1.6699
+#&gt; 401:    93.8059   -6.0635   -0.1498    2.2078   -0.9819    4.3939    4.0178    0.3995    0.2925    0.1873    5.4491    1.6702
+#&gt; 402:    93.8063   -6.0621   -0.1498    2.2079   -0.9818    4.4033    4.0120    0.3993    0.2926    0.1875    5.4492    1.6704
+#&gt; 403:    93.8055   -6.0609   -0.1498    2.2080   -0.9816    4.4098    4.0069    0.3992    0.2926    0.1876    5.4494    1.6703
+#&gt; 404:    93.8040   -6.0608   -0.1499    2.2081   -0.9815    4.4153    4.0050    0.3991    0.2927    0.1877    5.4494    1.6701
+#&gt; 405:    93.8030   -6.0604   -0.1499    2.2082   -0.9814    4.4181    4.0047    0.3990    0.2928    0.1879    5.4491    1.6700
+#&gt; 406:    93.8002   -6.0597   -0.1499    2.2083   -0.9812    4.4257    4.0025    0.3989    0.2928    0.1880    5.4498    1.6702
+#&gt; 407:    93.7969   -6.0593   -0.1500    2.2085   -0.9810    4.4343    3.9994    0.3988    0.2928    0.1881    5.4514    1.6703
+#&gt; 408:    93.7947   -6.0582   -0.1499    2.2087   -0.9809    4.4509    3.9936    0.3987    0.2927    0.1882    5.4526    1.6704
+#&gt; 409:    93.7929   -6.0579   -0.1499    2.2088   -0.9807    4.4584    3.9918    0.3987    0.2926    0.1882    5.4537    1.6707
+#&gt; 410:    93.7896   -6.0593   -0.1499    2.2089   -0.9807    4.4664    4.0002    0.3987    0.2925    0.1883    5.4560    1.6705
+#&gt; 411:    93.7875   -6.0601   -0.1499    2.2090   -0.9807    4.4626    4.0057    0.3987    0.2924    0.1883    5.4567    1.6705
+#&gt; 412:    93.7862   -6.0602   -0.1499    2.2091   -0.9808    4.4574    4.0095    0.3986    0.2923    0.1884    5.4565    1.6706
+#&gt; 413:    93.7858   -6.0606   -0.1498    2.2092   -0.9808    4.4527    4.0146    0.3986    0.2922    0.1885    5.4561    1.6708
+#&gt; 414:    93.7859   -6.0615   -0.1498    2.2093   -0.9808    4.4451    4.0211    0.3987    0.2921    0.1885    5.4574    1.6708
+#&gt; 415:    93.7864   -6.0629   -0.1498    2.2092   -0.9808    4.4443    4.0298    0.3986    0.2921    0.1885    5.4576    1.6707
+#&gt; 416:    93.7851   -6.0639   -0.1498    2.2092   -0.9808    4.4462    4.0362    0.3985    0.2920    0.1884    5.4575    1.6706
+#&gt; 417:    93.7820   -6.0644   -0.1499    2.2092   -0.9808    4.4425    4.0387    0.3985    0.2920    0.1884    5.4577    1.6703
+#&gt; 418:    93.7801   -6.0652   -0.1499    2.2093   -0.9808    4.4365    4.0420    0.3985    0.2920    0.1883    5.4589    1.6702
+#&gt; 419:    93.7799   -6.0648   -0.1499    2.2094   -0.9807    4.4303    4.0418    0.3984    0.2921    0.1883    5.4596    1.6703
+#&gt; 420:    93.7797   -6.0641   -0.1498    2.2095   -0.9807    4.4216    4.0383    0.3983    0.2921    0.1884    5.4607    1.6702
+#&gt; 421:    93.7803   -6.0641   -0.1498    2.2096   -0.9808    4.4120    4.0396    0.3983    0.2922    0.1885    5.4621    1.6702
+#&gt; 422:    93.7806   -6.0638   -0.1498    2.2097   -0.9809    4.4017    4.0373    0.3981    0.2923    0.1885    5.4635    1.6702
+#&gt; 423:    93.7800   -6.0636   -0.1498    2.2098   -0.9810    4.3948    4.0339    0.3981    0.2923    0.1885    5.4640    1.6701
+#&gt; 424:    93.7789   -6.0638   -0.1498    2.2099   -0.9810    4.3884    4.0336    0.3980    0.2924    0.1885    5.4651    1.6700
+#&gt; 425:    93.7774   -6.0628   -0.1498    2.2101   -0.9810    4.3814    4.0271    0.3978    0.2925    0.1884    5.4666    1.6699
+#&gt; 426:    93.7755   -6.0619   -0.1498    2.2102   -0.9811    4.3841    4.0221    0.3977    0.2925    0.1884    5.4693    1.6697
+#&gt; 427:    93.7753   -6.0612   -0.1498    2.2103   -0.9810    4.3785    4.0167    0.3975    0.2926    0.1883    5.4712    1.6696
+#&gt; 428:    93.7741   -6.0613   -0.1498    2.2104   -0.9810    4.3767    4.0161    0.3973    0.2926    0.1882    5.4729    1.6696
+#&gt; 429:    93.7717   -6.0613   -0.1498    2.2105   -0.9810    4.3744    4.0158    0.3971    0.2926    0.1880    5.4743    1.6694
+#&gt; 430:    93.7690   -6.0619   -0.1498    2.2106   -0.9809    4.3744    4.0189    0.3969    0.2926    0.1879    5.4753    1.6692
+#&gt; 431:    93.7668   -6.0615   -0.1498    2.2107   -0.9809    4.3709    4.0174    0.3967    0.2925    0.1878    5.4762    1.6691
+#&gt; 432:    93.7656   -6.0619   -0.1498    2.2108   -0.9809    4.3710    4.0173    0.3966    0.2926    0.1878    5.4770    1.6688
+#&gt; 433:    93.7632   -6.0625   -0.1498    2.2108   -0.9809    4.3689    4.0204    0.3964    0.2926    0.1877    5.4774    1.6687
+#&gt; 434:    93.7624   -6.0621   -0.1498    2.2109   -0.9808    4.3687    4.0178    0.3962    0.2926    0.1876    5.4774    1.6683
+#&gt; 435:    93.7608   -6.0622   -0.1497    2.2111   -0.9808    4.3714    4.0182    0.3961    0.2927    0.1875    5.4777    1.6679
+#&gt; 436:    93.7586   -6.0622   -0.1498    2.2112   -0.9808    4.3695    4.0178    0.3959    0.2928    0.1874    5.4784    1.6679
+#&gt; 437:    93.7558   -6.0622   -0.1498    2.2114   -0.9809    4.3658    4.0167    0.3957    0.2928    0.1873    5.4795    1.6678
+#&gt; 438:    93.7519   -6.0627   -0.1499    2.2115   -0.9808    4.3601    4.0183    0.3955    0.2928    0.1872    5.4807    1.6674
+#&gt; 439:    93.7478   -6.0618   -0.1499    2.2115   -0.9807    4.3538    4.0133    0.3952    0.2928    0.1871    5.4814    1.6672
+#&gt; 440:    93.7449   -6.0612   -0.1499    2.2117   -0.9805    4.3504    4.0103    0.3951    0.2928    0.1870    5.4820    1.6669
+#&gt; 441:    93.7433   -6.0608   -0.1499    2.2117   -0.9805    4.3438    4.0077    0.3949    0.2928    0.1869    5.4818    1.6666
+#&gt; 442:    93.7417   -6.0604   -0.1500    2.2118   -0.9805    4.3354    4.0058    0.3947    0.2927    0.1868    5.4824    1.6666
+#&gt; 443:    93.7407   -6.0604   -0.1500    2.2119   -0.9805    4.3281    4.0046    0.3946    0.2927    0.1867    5.4832    1.6667
+#&gt; 444:    93.7397   -6.0608   -0.1500    2.2118   -0.9805    4.3180    4.0069    0.3944    0.2928    0.1866    5.4857    1.6664
+#&gt; 445:    93.7387   -6.0613   -0.1501    2.2118   -0.9805    4.3092    4.0085    0.3942    0.2929    0.1866    5.4866    1.6663
+#&gt; 446:    93.7376   -6.0612   -0.1502    2.2117   -0.9805    4.3022    4.0075    0.3939    0.2930    0.1865    5.4866    1.6660
+#&gt; 447:    93.7375   -6.0613   -0.1503    2.2116   -0.9806    4.2981    4.0076    0.3937    0.2931    0.1865    5.4863    1.6658
+#&gt; 448:    93.7388   -6.0617   -0.1504    2.2115   -0.9806    4.2970    4.0087    0.3935    0.2932    0.1864    5.4870    1.6658
+#&gt; 449:    93.7400   -6.0617   -0.1504    2.2115   -0.9807    4.2904    4.0069    0.3933    0.2933    0.1864    5.4880    1.6655
+#&gt; 450:    93.7414   -6.0623   -0.1505    2.2113   -0.9808    4.2829    4.0095    0.3930    0.2935    0.1863    5.4880    1.6653
+#&gt; 451:    93.7426   -6.0634   -0.1506    2.2112   -0.9808    4.2797    4.0146    0.3928    0.2936    0.1863    5.4877    1.6655
+#&gt; 452:    93.7447   -6.0642   -0.1507    2.2110   -0.9809    4.2770    4.0171    0.3926    0.2938    0.1862    5.4876    1.6657
+#&gt; 453:    93.7465   -6.0644   -0.1508    2.2108   -0.9810    4.2698    4.0184    0.3924    0.2940    0.1862    5.4877    1.6652
+#&gt; 454:    93.7478   -6.0645   -0.1509    2.2106   -0.9810    4.2657    4.0182    0.3922    0.2941    0.1861    5.4874    1.6648
+#&gt; 455:    93.7486   -6.0650   -0.1511    2.2104   -0.9811    4.2656    4.0203    0.3921    0.2943    0.1861    5.4871    1.6644
+#&gt; 456:    93.7485   -6.0659   -0.1512    2.2102   -0.9812    4.2646    4.0240    0.3920    0.2945    0.1860    5.4869    1.6641
+#&gt; 457:    93.7487   -6.0668   -0.1514    2.2099   -0.9813    4.2613    4.0277    0.3919    0.2946    0.1860    5.4866    1.6640
+#&gt; 458:    93.7484   -6.0667   -0.1515    2.2097   -0.9812    4.2586    4.0263    0.3918    0.2947    0.1859    5.4854    1.6639
+#&gt; 459:    93.7468   -6.0661   -0.1517    2.2095   -0.9812    4.2565    4.0225    0.3917    0.2948    0.1858    5.4853    1.6639
+#&gt; 460:    93.7458   -6.0652   -0.1518    2.2093   -0.9812    4.2548    4.0171    0.3916    0.2950    0.1858    5.4843    1.6638
+#&gt; 461:    93.7435   -6.0645   -0.1519    2.2091   -0.9811    4.2554    4.0121    0.3914    0.2951    0.1858    5.4843    1.6637
+#&gt; 462:    93.7421   -6.0637   -0.1521    2.2089   -0.9811    4.2509    4.0079    0.3913    0.2953    0.1857    5.4840    1.6638
+#&gt; 463:    93.7406   -6.0630   -0.1522    2.2088   -0.9810    4.2534    4.0036    0.3912    0.2955    0.1857    5.4834    1.6640
+#&gt; 464:    93.7406   -6.0622   -0.1524    2.2086   -0.9810    4.2548    3.9986    0.3911    0.2956    0.1857    5.4828    1.6639
+#&gt; 465:    93.7404   -6.0617   -0.1525    2.2084   -0.9810    4.2511    3.9955    0.3910    0.2958    0.1857    5.4828    1.6638
+#&gt; 466:    93.7414   -6.0610   -0.1527    2.2080   -0.9809    4.2468    3.9918    0.3910    0.2959    0.1857    5.4812    1.6640
+#&gt; 467:    93.7419   -6.0606   -0.1529    2.2077   -0.9810    4.2446    3.9885    0.3909    0.2960    0.1858    5.4799    1.6642
+#&gt; 468:    93.7427   -6.0604   -0.1531    2.2074   -0.9809    4.2473    3.9872    0.3909    0.2961    0.1858    5.4790    1.6643
+#&gt; 469:    93.7435   -6.0608   -0.1532    2.2073   -0.9810    4.2457    3.9891    0.3907    0.2963    0.1858    5.4789    1.6641
+#&gt; 470:    93.7442   -6.0611   -0.1533    2.2071   -0.9811    4.2443    3.9895    0.3905    0.2965    0.1858    5.4785    1.6640
+#&gt; 471:    93.7443   -6.0618   -0.1534    2.2070   -0.9812    4.2415    3.9932    0.3903    0.2967    0.1858    5.4773    1.6639
+#&gt; 472:    93.7433   -6.0624   -0.1535    2.2069   -0.9812    4.2414    3.9958    0.3901    0.2969    0.1858    5.4765    1.6637
+#&gt; 473:    93.7421   -6.0621   -0.1536    2.2067   -0.9811    4.2330    3.9962    0.3899    0.2970    0.1858    5.4762    1.6637
+#&gt; 474:    93.7415   -6.0621   -0.1537    2.2066   -0.9812    4.2263    3.9968    0.3897    0.2972    0.1858    5.4755    1.6638
+#&gt; 475:    93.7396   -6.0621   -0.1538    2.2066   -0.9812    4.2261    3.9956    0.3895    0.2973    0.1859    5.4751    1.6637
+#&gt; 476:    93.7373   -6.0626   -0.1539    2.2065   -0.9811    4.2265    3.9976    0.3893    0.2975    0.1859    5.4743    1.6634
+#&gt; 477:    93.7357   -6.0623   -0.1540    2.2063   -0.9811    4.2222    3.9953    0.3891    0.2976    0.1859    5.4741    1.6635
+#&gt; 478:    93.7345   -6.0620   -0.1541    2.2062   -0.9811    4.2165    3.9939    0.3889    0.2978    0.1860    5.4745    1.6638
+#&gt; 479:    93.7341   -6.0615   -0.1542    2.2062   -0.9812    4.2122    3.9916    0.3887    0.2979    0.1860    5.4751    1.6637
+#&gt; 480:    93.7338   -6.0619   -0.1543    2.2061   -0.9812    4.2084    3.9932    0.3885    0.2980    0.1860    5.4753    1.6635
+#&gt; 481:    93.7336   -6.0618   -0.1544    2.2060   -0.9812    4.2066    3.9945    0.3883    0.2981    0.1860    5.4748    1.6637
+#&gt; 482:    93.7340   -6.0622   -0.1545    2.2058   -0.9812    4.2069    3.9969    0.3882    0.2983    0.1860    5.4741    1.6636
+#&gt; 483:    93.7328   -6.0627   -0.1547    2.2057   -0.9813    4.2062    3.9992    0.3879    0.2985    0.1861    5.4739    1.6636
+#&gt; 484:    93.7323   -6.0629   -0.1547    2.2056   -0.9813    4.2075    3.9995    0.3877    0.2987    0.1861    5.4730    1.6638
+#&gt; 485:    93.7326   -6.0634   -0.1548    2.2055   -0.9814    4.2045    4.0013    0.3875    0.2989    0.1862    5.4727    1.6637
+#&gt; 486:    93.7320   -6.0632   -0.1549    2.2055   -0.9814    4.2084    3.9989    0.3872    0.2991    0.1863    5.4718    1.6635
+#&gt; 487:    93.7321   -6.0625   -0.1549    2.2054   -0.9814    4.2105    3.9949    0.3870    0.2993    0.1864    5.4712    1.6634
+#&gt; 488:    93.7326   -6.0623   -0.1550    2.2054   -0.9814    4.2104    3.9935    0.3868    0.2996    0.1865    5.4721    1.6635
+#&gt; 489:    93.7342   -6.0615   -0.1551    2.2054   -0.9815    4.2103    3.9893    0.3866    0.2998    0.1866    5.4725    1.6635
+#&gt; 490:    93.7360   -6.0610   -0.1551    2.2053   -0.9815    4.2116    3.9857    0.3864    0.3001    0.1867    5.4730    1.6636
+#&gt; 491:    93.7374   -6.0601   -0.1551    2.2052   -0.9815    4.2128    3.9804    0.3862    0.3003    0.1868    5.4722    1.6638
+#&gt; 492:    93.7386   -6.0597   -0.1552    2.2050   -0.9816    4.2171    3.9774    0.3861    0.3006    0.1869    5.4714    1.6642
+#&gt; 493:    93.7399   -6.0597   -0.1553    2.2049   -0.9816    4.2262    3.9766    0.3859    0.3008    0.1869    5.4712    1.6643
+#&gt; 494:    93.7404   -6.0596   -0.1553    2.2047   -0.9816    4.2347    3.9746    0.3857    0.3011    0.1870    5.4711    1.6646
+#&gt; 495:    93.7406   -6.0590   -0.1554    2.2046   -0.9817    4.2395    3.9711    0.3855    0.3014    0.1871    5.4705    1.6650
+#&gt; 496:    93.7416   -6.0582   -0.1554    2.2045   -0.9817    4.2456    3.9660    0.3853    0.3017    0.1871    5.4707    1.6656
+#&gt; 497:    93.7433   -6.0575   -0.1555    2.2044   -0.9818    4.2511    3.9631    0.3851    0.3020    0.1871    5.4714    1.6658
+#&gt; 498:    93.7444   -6.0574   -0.1556    2.2042   -0.9817    4.2516    3.9632    0.3848    0.3023    0.1871    5.4721    1.6660
+#&gt; 499:    93.7457   -6.0576   -0.1557    2.2041   -0.9817    4.2518    3.9660    0.3846    0.3025    0.1871    5.4728    1.6660
+#&gt; 500:    93.7469   -6.0586   -0.1557    2.2040   -0.9817    4.2481    3.9757    0.3844    0.3028    0.1871    5.4738    1.6661</div><div class='output co'>#&gt; <span class='message'>Calculating covariance matrix</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='input'><span class='va'>f_nlmixr_fomc_sfo_focei_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_obs</span><span class='op'>[</span><span class='st'>"FOMC-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"
+#&gt; <span style='font-weight: bold;'>Key:</span> U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
+#&gt; F: Forward difference gradient approximation
+#&gt; C: Central difference gradient approximation
+#&gt; M: Mixed forward and central difference gradient approximation
+#&gt; Unscaled parameters for Omegas=chol(solve(omega));
+#&gt; Diagonals are transformed, as specified by foceiControl(diagXform=)
+#&gt; |-----+---------------+-----------+-----------+-----------+-----------|
+#&gt; |    #| Objective Fun |  parent_0 |  log_k_A1 |f_parent_qlogis | log_alpha |
+#&gt; |.....................|  log_beta |sigma_parent |  sigma_A1 |        o1 |
+#&gt; |.....................|        o2 |        o3 |        o4 |        o5 |
+#&gt; |<span style='font-weight: bold;'>    1</span>|     468.02617 |     1.000 |    -1.000 |   -0.9113 |   -0.8954 |
+#&gt; |.....................|   -0.8491 |   -0.8511 |   -0.8672 |   -0.8762 |
+#&gt; |.....................|   -0.8737 |   -0.8674 |   -0.8694 |   -0.8687 |
+#&gt; |    U|     468.02617 |     94.00 |    -5.400 |   -0.9900 |   -0.2000 |
+#&gt; |.....................|     2.100 |     2.000 |     1.200 |    0.7536 |
+#&gt; |.....................|    0.8758 |     1.189 |     1.093 |     1.127 |
+#&gt; |    X|<span style='font-weight: bold;'>     468.02617</span> |     94.00 |  0.004517 |    0.2709 |    0.8187 |
+#&gt; |.....................|     8.166 |     2.000 |     1.200 |    0.7536 |
+#&gt; |.....................|    0.8758 |     1.189 |     1.093 |     1.127 |
+#&gt; |    G|    Gill Diff. |     49.30 |     2.016 |   -0.2473 |   -0.3737 |
+#&gt; |.....................|    -1.227 |    -27.89 |    -10.29 |     8.753 |
+#&gt; |.....................|     11.17 |    -12.52 |    -9.819 |    -8.910 |
+#&gt; |<span style='font-weight: bold;'>    2</span>|     4021.4865 |    0.2059 |    -1.032 |   -0.9073 |   -0.8894 |
+#&gt; |.....................|   -0.8293 |   -0.4019 |   -0.7014 |    -1.017 |
+#&gt; |.....................|    -1.054 |   -0.6658 |   -0.7112 |   -0.7251 |
+#&gt; |    U|     4021.4865 |     19.35 |    -5.432 |   -0.9861 |   -0.1940 |
+#&gt; |.....................|     2.120 |     2.449 |     1.299 |    0.6474 |
+#&gt; |.....................|    0.7182 |     1.429 |     1.266 |     1.289 |
+#&gt; |    X|<span style='font-weight: bold;'>     4021.4865</span> |     19.35 |  0.004372 |    0.2717 |    0.8237 |
+#&gt; |.....................|     8.329 |     2.449 |     1.299 |    0.6474 |
+#&gt; |.....................|    0.7182 |     1.429 |     1.266 |     1.289 |
+#&gt; |<span style='font-weight: bold;'>    3</span>|     518.20369 |    0.9206 |    -1.003 |   -0.9109 |   -0.8948 |
+#&gt; |.....................|   -0.8471 |   -0.8062 |   -0.8506 |   -0.8903 |
+#&gt; |.....................|   -0.8917 |   -0.8473 |   -0.8535 |   -0.8543 |
+#&gt; |    U|     518.20369 |     86.53 |    -5.403 |   -0.9896 |   -0.1994 |
+#&gt; |.....................|     2.102 |     2.045 |     1.210 |    0.7430 |
+#&gt; |.....................|    0.8600 |     1.213 |     1.111 |     1.143 |
+#&gt; |    X|<span style='font-weight: bold;'>     518.20369</span> |     86.53 |  0.004502 |    0.2710 |    0.8192 |
+#&gt; |.....................|     8.182 |     2.045 |     1.210 |    0.7430 |
+#&gt; |.....................|    0.8600 |     1.213 |     1.111 |     1.143 |
+#&gt; |<span style='font-weight: bold;'>    4</span>|     467.99742 |    0.9921 |    -1.000 |   -0.9112 |   -0.8953 |
+#&gt; |.....................|   -0.8489 |   -0.8466 |   -0.8655 |   -0.8776 |
+#&gt; |.....................|   -0.8755 |   -0.8654 |   -0.8678 |   -0.8672 |
+#&gt; |    U|     467.99742 |     93.25 |    -5.400 |   -0.9900 |   -0.1999 |
+#&gt; |.....................|     2.100 |     2.004 |     1.201 |    0.7526 |
+#&gt; |.....................|    0.8742 |     1.192 |     1.095 |     1.129 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.99742</span> |     93.25 |  0.004515 |    0.2709 |    0.8188 |
+#&gt; |.....................|     8.168 |     2.004 |     1.201 |    0.7526 |
+#&gt; |.....................|    0.8742 |     1.192 |     1.095 |     1.129 |
+#&gt; |    F| Forward Diff. |    -98.28 |     1.929 |   -0.4044 |   -0.4503 |
+#&gt; |.....................|    -1.484 |    -29.27 |    -9.987 |     8.922 |
+#&gt; |.....................|     9.417 |    -11.79 |    -9.521 |    -8.343 |
+#&gt; |<span style='font-weight: bold;'>    5</span>|     467.67344 |    0.9967 |    -1.000 |   -0.9112 |   -0.8953 |
+#&gt; |.....................|   -0.8488 |   -0.8452 |   -0.8651 |   -0.8780 |
+#&gt; |.....................|   -0.8760 |   -0.8648 |   -0.8673 |   -0.8668 |
+#&gt; |    U|     467.67344 |     93.69 |    -5.400 |   -0.9899 |   -0.1999 |
+#&gt; |.....................|     2.100 |     2.006 |     1.201 |    0.7523 |
+#&gt; |.....................|    0.8738 |     1.192 |     1.095 |     1.129 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.67344</span> |     93.69 |  0.004515 |    0.2709 |    0.8188 |
+#&gt; |.....................|     8.168 |     2.006 |     1.201 |    0.7523 |
+#&gt; |.....................|    0.8738 |     1.192 |     1.095 |     1.129 |
+#&gt; |    F| Forward Diff. |    -11.92 |     1.963 |   -0.3242 |   -0.4184 |
+#&gt; |.....................|    -1.350 |    -28.16 |    -10.02 |     8.541 |
+#&gt; |.....................|     8.305 |    -11.80 |    -9.512 |    -8.408 |
+#&gt; |<span style='font-weight: bold;'>    6</span>|     467.50396 |    0.9983 |    -1.001 |   -0.9112 |   -0.8952 |
+#&gt; |.....................|   -0.8487 |   -0.8416 |   -0.8638 |   -0.8791 |
+#&gt; |.....................|   -0.8771 |   -0.8633 |   -0.8661 |   -0.8658 |
+#&gt; |    U|     467.50396 |     93.84 |    -5.401 |   -0.9899 |   -0.1999 |
+#&gt; |.....................|     2.100 |     2.010 |     1.202 |    0.7514 |
+#&gt; |.....................|    0.8729 |     1.194 |     1.097 |     1.130 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.50396</span> |     93.84 |  0.004514 |    0.2709 |    0.8188 |
+#&gt; |.....................|     8.170 |     2.010 |     1.202 |    0.7514 |
+#&gt; |.....................|    0.8729 |     1.194 |     1.097 |     1.130 |
+#&gt; |<span style='font-weight: bold;'>    7</span>|     467.27231 |     1.003 |    -1.001 |   -0.9110 |   -0.8951 |
+#&gt; |.....................|   -0.8481 |   -0.8306 |   -0.8599 |   -0.8825 |
+#&gt; |.....................|   -0.8803 |   -0.8587 |   -0.8624 |   -0.8625 |
+#&gt; |    U|     467.27231 |     94.27 |    -5.401 |   -0.9898 |   -0.1997 |
+#&gt; |.....................|     2.101 |     2.021 |     1.204 |    0.7489 |
+#&gt; |.....................|    0.8700 |     1.200 |     1.101 |     1.134 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.27231</span> |     94.27 |  0.004510 |    0.2710 |    0.8190 |
+#&gt; |.....................|     8.174 |     2.021 |     1.204 |    0.7489 |
+#&gt; |.....................|    0.8700 |     1.200 |     1.101 |     1.134 |
+#&gt; |    F| Forward Diff. |     101.6 |     1.991 |   -0.1997 |   -0.3688 |
+#&gt; |.....................|    -1.177 |    -25.72 |    -9.853 |     9.249 |
+#&gt; |.....................|     8.335 |    -11.58 |    -9.288 |    -8.277 |
+#&gt; |<span style='font-weight: bold;'>    8</span>|     466.36087 |    0.9961 |    -1.002 |   -0.9109 |   -0.8949 |
+#&gt; |.....................|   -0.8474 |   -0.8165 |   -0.8547 |   -0.8873 |
+#&gt; |.....................|   -0.8853 |   -0.8526 |   -0.8575 |   -0.8582 |
+#&gt; |    U|     466.36087 |     93.63 |    -5.402 |   -0.9896 |   -0.1995 |
+#&gt; |.....................|     2.102 |     2.035 |     1.207 |    0.7453 |
+#&gt; |.....................|    0.8657 |     1.207 |     1.106 |     1.139 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.36087</span> |     93.63 |  0.004506 |    0.2710 |    0.8191 |
+#&gt; |.....................|     8.180 |     2.035 |     1.207 |    0.7453 |
+#&gt; |.....................|    0.8657 |     1.207 |     1.106 |     1.139 |
+#&gt; |    F| Forward Diff. |    -21.78 |     1.909 |   -0.3215 |   -0.4291 |
+#&gt; |.....................|    -1.401 |    -25.38 |    -9.315 |     7.655 |
+#&gt; |.....................|     10.17 |    -11.26 |    -9.035 |    -7.894 |
+#&gt; |<span style='font-weight: bold;'>    9</span>|     465.79764 |     1.000 |    -1.004 |   -0.9107 |   -0.8946 |
+#&gt; |.....................|   -0.8467 |   -0.8024 |   -0.8495 |   -0.8920 |
+#&gt; |.....................|   -0.8917 |   -0.8462 |   -0.8524 |   -0.8537 |
+#&gt; |    U|     465.79764 |     94.04 |    -5.404 |   -0.9895 |   -0.1993 |
+#&gt; |.....................|     2.102 |     2.049 |     1.211 |    0.7417 |
+#&gt; |.....................|    0.8600 |     1.214 |     1.112 |     1.144 |
+#&gt; |    X|<span style='font-weight: bold;'>     465.79764</span> |     94.04 |  0.004501 |    0.2710 |    0.8193 |
+#&gt; |.....................|     8.186 |     2.049 |     1.211 |    0.7417 |
+#&gt; |.....................|    0.8600 |     1.214 |     1.112 |     1.144 |
+#&gt; |    F| Forward Diff. |     54.81 |     1.910 |   -0.2489 |   -0.4009 |
+#&gt; |.....................|    -1.285 |    -22.17 |    -8.389 |     8.020 |
+#&gt; |.....................|     7.340 |    -11.02 |    -8.786 |    -7.720 |
+#&gt; |<span style='font-weight: bold;'>   10</span>|     465.18897 |    0.9945 |    -1.005 |   -0.9105 |   -0.8943 |
+#&gt; |.....................|   -0.8457 |   -0.7893 |   -0.8445 |   -0.8971 |
+#&gt; |.....................|   -0.8975 |   -0.8390 |   -0.8467 |   -0.8487 |
+#&gt; |    U|     465.18897 |     93.48 |    -5.405 |   -0.9893 |   -0.1990 |
+#&gt; |.....................|     2.103 |     2.062 |     1.214 |    0.7379 |
+#&gt; |.....................|    0.8549 |     1.223 |     1.118 |     1.149 |
+#&gt; |    X|<span style='font-weight: bold;'>     465.18897</span> |     93.48 |  0.004495 |    0.2711 |    0.8196 |
+#&gt; |.....................|     8.194 |     2.062 |     1.214 |    0.7379 |
+#&gt; |.....................|    0.8549 |     1.223 |     1.118 |     1.149 |
+#&gt; |    F| Forward Diff. |    -47.52 |     1.834 |   -0.3684 |   -0.4503 |
+#&gt; |.....................|    -1.489 |    -22.39 |    -7.996 |     7.294 |
+#&gt; |.....................|     9.249 |    -10.90 |    -8.741 |    -7.575 |
+#&gt; |<span style='font-weight: bold;'>   11</span>|     464.56229 |    0.9983 |    -1.006 |   -0.9102 |   -0.8940 |
+#&gt; |.....................|   -0.8445 |   -0.7772 |   -0.8401 |   -0.9030 |
+#&gt; |.....................|   -0.9029 |   -0.8305 |   -0.8400 |   -0.8430 |
+#&gt; |    U|     464.56229 |     93.84 |    -5.406 |   -0.9890 |   -0.1986 |
+#&gt; |.....................|     2.105 |     2.074 |     1.216 |    0.7334 |
+#&gt; |.....................|    0.8503 |     1.233 |     1.125 |     1.156 |
+#&gt; |    X|<span style='font-weight: bold;'>     464.56229</span> |     93.84 |  0.004488 |    0.2711 |    0.8199 |
+#&gt; |.....................|     8.204 |     2.074 |     1.216 |    0.7334 |
+#&gt; |.....................|    0.8503 |     1.233 |     1.125 |     1.156 |
+#&gt; |<span style='font-weight: bold;'>   12</span>|     463.71730 |    0.9982 |    -1.009 |   -0.9098 |   -0.8933 |
+#&gt; |.....................|   -0.8424 |   -0.7583 |   -0.8332 |   -0.9128 |
+#&gt; |.....................|   -0.9112 |   -0.8167 |   -0.8291 |   -0.8337 |
+#&gt; |    U|      463.7173 |     93.83 |    -5.409 |   -0.9885 |   -0.1980 |
+#&gt; |.....................|     2.107 |     2.093 |     1.220 |    0.7260 |
+#&gt; |.....................|    0.8430 |     1.249 |     1.137 |     1.166 |
+#&gt; |    X|<span style='font-weight: bold;'>      463.7173</span> |     93.83 |  0.004478 |    0.2712 |    0.8204 |
+#&gt; |.....................|     8.221 |     2.093 |     1.220 |    0.7260 |
+#&gt; |.....................|    0.8430 |     1.249 |     1.137 |     1.166 |
+#&gt; |<span style='font-weight: bold;'>   13</span>|     461.03699 |    0.9978 |    -1.018 |   -0.9080 |   -0.8909 |
+#&gt; |.....................|   -0.8343 |   -0.6839 |   -0.8059 |   -0.9516 |
+#&gt; |.....................|   -0.9441 |   -0.7622 |   -0.7862 |   -0.7969 |
+#&gt; |    U|     461.03699 |     93.79 |    -5.418 |   -0.9868 |   -0.1955 |
+#&gt; |.....................|     2.115 |     2.167 |     1.237 |    0.6968 |
+#&gt; |.....................|    0.8141 |     1.314 |     1.184 |     1.208 |
+#&gt; |    X|<span style='font-weight: bold;'>     461.03699</span> |     93.79 |  0.004435 |    0.2716 |    0.8224 |
+#&gt; |.....................|     8.288 |     2.167 |     1.237 |    0.6968 |
+#&gt; |.....................|    0.8141 |     1.314 |     1.184 |     1.208 |
+#&gt; |<span style='font-weight: bold;'>   14</span>|     458.83693 |    0.9972 |    -1.033 |   -0.9052 |   -0.8871 |
+#&gt; |.....................|   -0.8218 |   -0.5692 |   -0.7639 |    -1.011 |
+#&gt; |.....................|   -0.9948 |   -0.6782 |   -0.7201 |   -0.7403 |
+#&gt; |    U|     458.83693 |     93.74 |    -5.433 |   -0.9840 |   -0.1917 |
+#&gt; |.....................|     2.127 |     2.282 |     1.262 |    0.6519 |
+#&gt; |.....................|    0.7697 |     1.414 |     1.256 |     1.272 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.83693</span> |     93.74 |  0.004371 |    0.2721 |    0.8255 |
+#&gt; |.....................|     8.393 |     2.282 |     1.262 |    0.6519 |
+#&gt; |.....................|    0.7697 |     1.414 |     1.256 |     1.272 |
+#&gt; |    F| Forward Diff. |   0.05416 |     1.397 |   -0.2200 |   -0.5344 |
+#&gt; |.....................|    -1.585 |    -3.387 |    -1.306 |   -0.2250 |
+#&gt; |.....................|     1.392 |    -3.452 |    -2.065 |    -1.405 |
+#&gt; |<span style='font-weight: bold;'>   15</span>|     459.30045 |    0.9957 |    -1.166 |   -0.8845 |   -0.8313 |
+#&gt; |.....................|   -0.6584 |   -0.5528 |   -0.7505 |   -0.8569 |
+#&gt; |.....................|    -1.017 |   -0.4560 |   -0.6245 |   -0.7036 |
+#&gt; |    U|     459.30045 |     93.60 |    -5.566 |   -0.9635 |   -0.1360 |
+#&gt; |.....................|     2.291 |     2.298 |     1.270 |    0.7682 |
+#&gt; |.....................|    0.7505 |     1.678 |     1.361 |     1.313 |
+#&gt; |    X|<span style='font-weight: bold;'>     459.30045</span> |     93.60 |  0.003827 |    0.2762 |    0.8729 |
+#&gt; |.....................|     9.881 |     2.298 |     1.270 |    0.7682 |
+#&gt; |.....................|    0.7505 |     1.678 |     1.361 |     1.313 |
+#&gt; |<span style='font-weight: bold;'>   16</span>|     458.36319 |    0.9960 |    -1.071 |   -0.8992 |   -0.8719 |
+#&gt; |.....................|   -0.7770 |   -0.5045 |   -0.7383 |   -0.9927 |
+#&gt; |.....................|    -1.023 |   -0.5931 |   -0.6727 |   -0.7107 |
+#&gt; |    U|     458.36319 |     93.63 |    -5.471 |   -0.9780 |   -0.1766 |
+#&gt; |.....................|     2.172 |     2.347 |     1.277 |    0.6658 |
+#&gt; |.....................|    0.7452 |     1.515 |     1.308 |     1.305 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.36319</span> |     93.63 |  0.004206 |    0.2733 |    0.8381 |
+#&gt; |.....................|     8.777 |     2.347 |     1.277 |    0.6658 |
+#&gt; |.....................|    0.7452 |     1.515 |     1.308 |     1.305 |
+#&gt; |    F| Forward Diff. |    -12.30 |     1.214 |   0.06343 |   -0.2616 |
+#&gt; |.....................|   -0.6069 |   0.08029 |    0.4273 |   0.07297 |
+#&gt; |.....................|   -0.3937 |    0.3470 |    0.5201 |   0.09241 |
+#&gt; |<span style='font-weight: bold;'>   17</span>|     458.37724 |    0.9977 |    -1.183 |   -0.9046 |   -0.8476 |
+#&gt; |.....................|   -0.7196 |   -0.4765 |   -0.7567 |    -1.014 |
+#&gt; |.....................|   -0.9850 |   -0.5955 |   -0.6985 |   -0.7030 |
+#&gt; |    U|     458.37724 |     93.79 |    -5.583 |   -0.9834 |   -0.1522 |
+#&gt; |.....................|     2.229 |     2.375 |     1.266 |    0.6497 |
+#&gt; |.....................|    0.7783 |     1.513 |     1.280 |     1.314 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.37724</span> |     93.79 |  0.003762 |    0.2722 |    0.8588 |
+#&gt; |.....................|     9.295 |     2.375 |     1.266 |    0.6497 |
+#&gt; |.....................|    0.7783 |     1.513 |     1.280 |     1.314 |
+#&gt; |<span style='font-weight: bold;'>   18</span>|     458.32800 |    0.9976 |    -1.124 |   -0.9017 |   -0.8605 |
+#&gt; |.....................|   -0.7499 |   -0.4913 |   -0.7470 |    -1.003 |
+#&gt; |.....................|    -1.005 |   -0.5943 |   -0.6849 |   -0.7071 |
+#&gt; |    U|       458.328 |     93.78 |    -5.524 |   -0.9806 |   -0.1651 |
+#&gt; |.....................|     2.199 |     2.360 |     1.272 |    0.6583 |
+#&gt; |.....................|    0.7608 |     1.514 |     1.295 |     1.309 |
+#&gt; |    X|<span style='font-weight: bold;'>       458.328</span> |     93.78 |  0.003990 |    0.2728 |    0.8478 |
+#&gt; |.....................|     9.017 |     2.360 |     1.272 |    0.6583 |
+#&gt; |.....................|    0.7608 |     1.514 |     1.295 |     1.309 |
+#&gt; |    F| Forward Diff. |     9.757 |     1.093 |  -0.06310 |   0.02237 |
+#&gt; |.....................|   0.09811 |    0.3115 |   -0.3381 |   -0.2098 |
+#&gt; |.....................|    0.8196 |    0.7052 |   0.04425 |    0.2610 |
+#&gt; |<span style='font-weight: bold;'>   19</span>|     458.25889 |    0.9968 |    -1.183 |   -0.9011 |   -0.8543 |
+#&gt; |.....................|   -0.7363 |   -0.4871 |   -0.7422 |    -1.003 |
+#&gt; |.....................|    -1.023 |   -0.6115 |   -0.6911 |   -0.7106 |
+#&gt; |    U|     458.25889 |     93.70 |    -5.583 |   -0.9799 |   -0.1589 |
+#&gt; |.....................|     2.213 |     2.364 |     1.275 |    0.6583 |
+#&gt; |.....................|    0.7450 |     1.494 |     1.288 |     1.305 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.25889</span> |     93.70 |  0.003760 |    0.2729 |    0.8531 |
+#&gt; |.....................|     9.141 |     2.364 |     1.275 |    0.6583 |
+#&gt; |.....................|    0.7450 |     1.494 |     1.288 |     1.305 |
+#&gt; |    F| Forward Diff. |   -0.6125 |    0.8824 |  -0.01905 |    0.1697 |
+#&gt; |.....................|    0.4368 |    0.4743 |   0.05191 |   -0.6440 |
+#&gt; |.....................|   -0.4868 |   -0.9136 |   -0.3225 |  -0.06220 |
+#&gt; |<span style='font-weight: bold;'>   20</span>|     458.18570 |    0.9978 |    -1.246 |   -0.9006 |   -0.8585 |
+#&gt; |.....................|   -0.7495 |   -0.4978 |   -0.7385 |   -0.9895 |
+#&gt; |.....................|    -1.024 |   -0.6046 |   -0.6874 |   -0.7124 |
+#&gt; |    U|      458.1857 |     93.79 |    -5.646 |   -0.9794 |   -0.1632 |
+#&gt; |.....................|     2.200 |     2.353 |     1.277 |    0.6683 |
+#&gt; |.....................|    0.7440 |     1.502 |     1.292 |     1.303 |
+#&gt; |    X|<span style='font-weight: bold;'>      458.1857</span> |     93.79 |  0.003532 |    0.2730 |    0.8495 |
+#&gt; |.....................|     9.022 |     2.353 |     1.277 |    0.6683 |
+#&gt; |.....................|    0.7440 |     1.502 |     1.292 |     1.303 |
+#&gt; |<span style='font-weight: bold;'>   21</span>|     458.13464 |    0.9963 |    -1.435 |   -0.8992 |   -0.8705 |
+#&gt; |.....................|   -0.7875 |   -0.5278 |   -0.7264 |   -0.9531 |
+#&gt; |.....................|    -1.031 |   -0.5901 |   -0.6784 |   -0.7184 |
+#&gt; |    U|     458.13464 |     93.65 |    -5.835 |   -0.9781 |   -0.1751 |
+#&gt; |.....................|     2.162 |     2.323 |     1.284 |    0.6957 |
+#&gt; |.....................|    0.7378 |     1.519 |     1.302 |     1.296 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.13464</span> |     93.65 |  0.002922 |    0.2733 |    0.8394 |
+#&gt; |.....................|     8.685 |     2.323 |     1.284 |    0.6957 |
+#&gt; |.....................|    0.7378 |     1.519 |     1.302 |     1.296 |
+#&gt; |    F| Forward Diff. |    -15.15 |    0.2290 |    0.2476 |   -0.1455 |
+#&gt; |.....................|   -0.7111 |    -1.138 |    0.8895 |     1.880 |
+#&gt; |.....................|    -1.837 |    0.2029 |    0.3485 |   -0.6531 |
+#&gt; |<span style='font-weight: bold;'>   22</span>|     458.67841 |    0.9992 |    -1.651 |   -0.9027 |   -0.9245 |
+#&gt; |.....................|   -0.8733 |   -0.5209 |   -0.7232 |    -1.036 |
+#&gt; |.....................|    -1.001 |   -0.6164 |   -0.6125 |   -0.6771 |
+#&gt; |    U|     458.67841 |     93.92 |    -6.051 |   -0.9815 |   -0.2291 |
+#&gt; |.....................|     2.076 |     2.330 |     1.286 |    0.6333 |
+#&gt; |.....................|    0.7647 |     1.488 |     1.374 |     1.343 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.67841</span> |     93.92 |  0.002355 |    0.2726 |    0.7952 |
+#&gt; |.....................|     7.971 |     2.330 |     1.286 |    0.6333 |
+#&gt; |.....................|    0.7647 |     1.488 |     1.374 |     1.343 |
+#&gt; |<span style='font-weight: bold;'>   23</span>|     458.25487 |     1.002 |    -1.469 |   -0.8998 |   -0.8789 |
+#&gt; |.....................|   -0.8006 |   -0.5263 |   -0.7262 |   -0.9666 |
+#&gt; |.....................|    -1.026 |   -0.5942 |   -0.6683 |   -0.7117 |
+#&gt; |    U|     458.25487 |     94.17 |    -5.869 |   -0.9787 |   -0.1835 |
+#&gt; |.....................|     2.148 |     2.325 |     1.285 |    0.6855 |
+#&gt; |.....................|    0.7425 |     1.514 |     1.313 |     1.304 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.25487</span> |     94.17 |  0.002825 |    0.2732 |    0.8324 |
+#&gt; |.....................|     8.572 |     2.325 |     1.285 |    0.6855 |
+#&gt; |.....................|    0.7425 |     1.514 |     1.313 |     1.304 |
+#&gt; |<span style='font-weight: bold;'>   24</span>|     458.28425 |     1.002 |    -1.442 |   -0.8994 |   -0.8721 |
+#&gt; |.....................|   -0.7899 |   -0.5271 |   -0.7267 |   -0.9564 |
+#&gt; |.....................|    -1.030 |   -0.5910 |   -0.6765 |   -0.7168 |
+#&gt; |    U|     458.28425 |     94.21 |    -5.842 |   -0.9783 |   -0.1768 |
+#&gt; |.....................|     2.159 |     2.324 |     1.284 |    0.6932 |
+#&gt; |.....................|    0.7392 |     1.518 |     1.304 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.28425</span> |     94.21 |  0.002902 |    0.2732 |    0.8380 |
+#&gt; |.....................|     8.664 |     2.324 |     1.284 |    0.6932 |
+#&gt; |.....................|    0.7392 |     1.518 |     1.304 |     1.298 |
+#&gt; |<span style='font-weight: bold;'>   25</span>|     458.13208 |    0.9983 |    -1.435 |   -0.8993 |   -0.8705 |
+#&gt; |.....................|   -0.7874 |   -0.5276 |   -0.7266 |   -0.9533 |
+#&gt; |.....................|    -1.031 |   -0.5901 |   -0.6785 |   -0.7183 |
+#&gt; |    U|     458.13208 |     93.84 |    -5.835 |   -0.9781 |   -0.1751 |
+#&gt; |.....................|     2.162 |     2.323 |     1.284 |    0.6955 |
+#&gt; |.....................|    0.7380 |     1.519 |     1.302 |     1.296 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.13208</span> |     93.84 |  0.002922 |    0.2733 |    0.8394 |
+#&gt; |.....................|     8.686 |     2.323 |     1.284 |    0.6955 |
+#&gt; |.....................|    0.7380 |     1.519 |     1.302 |     1.296 |
+#&gt; |    F| Forward Diff. |     13.75 |    0.2391 |    0.3431 |   -0.1129 |
+#&gt; |.....................|   -0.6079 |    -1.684 |    0.2301 |     1.587 |
+#&gt; |.....................|    0.9924 |   -0.4675 |    0.3927 |   -0.7567 |
+#&gt; |<span style='font-weight: bold;'>   26</span>|     458.12484 |    0.9973 |    -1.435 |   -0.8993 |   -0.8705 |
+#&gt; |.....................|   -0.7874 |   -0.5275 |   -0.7266 |   -0.9535 |
+#&gt; |.....................|    -1.031 |   -0.5900 |   -0.6785 |   -0.7182 |
+#&gt; |    U|     458.12484 |     93.75 |    -5.835 |   -0.9782 |   -0.1751 |
+#&gt; |.....................|     2.162 |     2.324 |     1.284 |    0.6954 |
+#&gt; |.....................|    0.7379 |     1.519 |     1.302 |     1.297 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.12484</span> |     93.75 |  0.002922 |    0.2733 |    0.8394 |
+#&gt; |.....................|     8.686 |     2.324 |     1.284 |    0.6954 |
+#&gt; |.....................|    0.7379 |     1.519 |     1.302 |     1.297 |
+#&gt; |    F| Forward Diff. |   -0.4576 |    0.2336 |    0.2904 |   -0.1274 |
+#&gt; |.....................|   -0.6585 |    -1.014 |    0.9040 |     1.932 |
+#&gt; |.....................|    -1.695 |    0.2950 |    0.3980 |   -0.7211 |
+#&gt; |<span style='font-weight: bold;'>   27</span>|     458.12349 |    0.9975 |    -1.436 |   -0.8994 |   -0.8704 |
+#&gt; |.....................|   -0.7872 |   -0.5272 |   -0.7269 |   -0.9542 |
+#&gt; |.....................|    -1.031 |   -0.5901 |   -0.6787 |   -0.7180 |
+#&gt; |    U|     458.12349 |     93.76 |    -5.836 |   -0.9783 |   -0.1751 |
+#&gt; |.....................|     2.162 |     2.324 |     1.284 |    0.6949 |
+#&gt; |.....................|    0.7384 |     1.519 |     1.302 |     1.297 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.12349</span> |     93.76 |  0.002922 |    0.2732 |    0.8394 |
+#&gt; |.....................|     8.688 |     2.324 |     1.284 |    0.6949 |
+#&gt; |.....................|    0.7384 |     1.519 |     1.302 |     1.297 |
+#&gt; |    F| Forward Diff. |     1.734 |    0.2328 |    0.2907 |   -0.1244 |
+#&gt; |.....................|   -0.6480 |   -0.5259 |     1.203 |     2.086 |
+#&gt; |.....................|    -1.687 |    0.2714 |    0.3976 |   -0.7167 |
+#&gt; |<span style='font-weight: bold;'>   28</span>|     458.12069 |    0.9972 |    -1.436 |   -0.8995 |   -0.8704 |
+#&gt; |.....................|   -0.7868 |   -0.5270 |   -0.7278 |   -0.9557 |
+#&gt; |.....................|    -1.030 |   -0.5902 |   -0.6785 |   -0.7174 |
+#&gt; |    U|     458.12069 |     93.74 |    -5.836 |   -0.9784 |   -0.1750 |
+#&gt; |.....................|     2.162 |     2.324 |     1.284 |    0.6937 |
+#&gt; |.....................|    0.7392 |     1.519 |     1.302 |     1.297 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.12069</span> |     93.74 |  0.002921 |    0.2732 |    0.8394 |
+#&gt; |.....................|     8.691 |     2.324 |     1.284 |    0.6937 |
+#&gt; |.....................|    0.7392 |     1.519 |     1.302 |     1.297 |
+#&gt; |    F| Forward Diff. |    -1.995 |    0.2265 |    0.2648 |   -0.1319 |
+#&gt; |.....................|   -0.6577 |    -1.056 |    0.5532 |     1.629 |
+#&gt; |.....................|   -0.4851 |    0.2582 |    0.3806 |   -0.6784 |
+#&gt; |<span style='font-weight: bold;'>   29</span>|     458.12793 |    0.9986 |    -1.436 |   -0.8997 |   -0.8703 |
+#&gt; |.....................|   -0.7863 |   -0.5263 |   -0.7282 |   -0.9568 |
+#&gt; |.....................|    -1.029 |   -0.5904 |   -0.6788 |   -0.7169 |
+#&gt; |    U|     458.12793 |     93.87 |    -5.836 |   -0.9785 |   -0.1749 |
+#&gt; |.....................|     2.163 |     2.325 |     1.283 |    0.6929 |
+#&gt; |.....................|    0.7395 |     1.519 |     1.302 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.12793</span> |     93.87 |  0.002920 |    0.2732 |    0.8395 |
+#&gt; |.....................|     8.695 |     2.325 |     1.283 |    0.6929 |
+#&gt; |.....................|    0.7395 |     1.519 |     1.302 |     1.298 |
+#&gt; |<span style='font-weight: bold;'>   30</span>|     458.12002 |    0.9975 |    -1.436 |   -0.8996 |   -0.8704 |
+#&gt; |.....................|   -0.7866 |   -0.5269 |   -0.7279 |   -0.9559 |
+#&gt; |.....................|    -1.030 |   -0.5903 |   -0.6786 |   -0.7173 |
+#&gt; |    U|     458.12002 |     93.77 |    -5.836 |   -0.9784 |   -0.1750 |
+#&gt; |.....................|     2.162 |     2.324 |     1.284 |    0.6935 |
+#&gt; |.....................|    0.7392 |     1.519 |     1.302 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.12002</span> |     93.77 |  0.002921 |    0.2732 |    0.8395 |
+#&gt; |.....................|     8.692 |     2.324 |     1.284 |    0.6935 |
+#&gt; |.....................|    0.7392 |     1.519 |     1.302 |     1.298 |
+#&gt; |    F| Forward Diff. |     2.647 |    0.2293 |    0.2815 |   -0.1267 |
+#&gt; |.....................|   -0.6372 |   -0.9129 |    0.8290 |     1.823 |
+#&gt; |.....................|    -1.624 |    0.2659 |    0.4184 |   -0.6478 |
+#&gt; |<span style='font-weight: bold;'>   31</span>|     458.11922 |    0.9973 |    -1.436 |   -0.8996 |   -0.8704 |
+#&gt; |.....................|   -0.7866 |   -0.5268 |   -0.7280 |   -0.9563 |
+#&gt; |.....................|    -1.029 |   -0.5903 |   -0.6786 |   -0.7171 |
+#&gt; |    U|     458.11922 |     93.74 |    -5.836 |   -0.9784 |   -0.1750 |
+#&gt; |.....................|     2.163 |     2.324 |     1.284 |    0.6933 |
+#&gt; |.....................|    0.7394 |     1.519 |     1.302 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11922</span> |     93.74 |  0.002920 |    0.2732 |    0.8395 |
+#&gt; |.....................|     8.693 |     2.324 |     1.284 |    0.6933 |
+#&gt; |.....................|    0.7394 |     1.519 |     1.302 |     1.298 |
+#&gt; |    F| Forward Diff. |   -0.8024 |    0.2274 |    0.2665 |   -0.1307 |
+#&gt; |.....................|   -0.6475 |    -1.019 |    0.5594 |     1.618 |
+#&gt; |.....................|    -1.681 |    0.3232 |    0.3907 |   -0.6658 |
+#&gt; |<span style='font-weight: bold;'>   32</span>|     458.11869 |    0.9974 |    -1.436 |   -0.8996 |   -0.8703 |
+#&gt; |.....................|   -0.7864 |   -0.5266 |   -0.7281 |   -0.9565 |
+#&gt; |.....................|    -1.029 |   -0.5904 |   -0.6787 |   -0.7170 |
+#&gt; |    U|     458.11869 |     93.76 |    -5.836 |   -0.9785 |   -0.1750 |
+#&gt; |.....................|     2.163 |     2.324 |     1.283 |    0.6931 |
+#&gt; |.....................|    0.7397 |     1.519 |     1.302 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11869</span> |     93.76 |  0.002920 |    0.2732 |    0.8395 |
+#&gt; |.....................|     8.694 |     2.324 |     1.283 |    0.6931 |
+#&gt; |.....................|    0.7397 |     1.519 |     1.302 |     1.298 |
+#&gt; |    F| Forward Diff. |     1.112 |    0.2271 |    0.2694 |   -0.1286 |
+#&gt; |.....................|   -0.6401 |    -1.529 |    0.3516 |     1.832 |
+#&gt; |.....................|   -0.3653 |    0.2635 |    0.3774 |   -0.6589 |
+#&gt; |<span style='font-weight: bold;'>   33</span>|     458.11797 |    0.9972 |    -1.436 |   -0.8997 |   -0.8703 |
+#&gt; |.....................|   -0.7863 |   -0.5263 |   -0.7282 |   -0.9569 |
+#&gt; |.....................|    -1.029 |   -0.5904 |   -0.6788 |   -0.7169 |
+#&gt; |    U|     458.11797 |     93.74 |    -5.836 |   -0.9785 |   -0.1749 |
+#&gt; |.....................|     2.163 |     2.325 |     1.283 |    0.6928 |
+#&gt; |.....................|    0.7397 |     1.519 |     1.302 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11797</span> |     93.74 |  0.002920 |    0.2732 |    0.8395 |
+#&gt; |.....................|     8.695 |     2.325 |     1.283 |    0.6928 |
+#&gt; |.....................|    0.7397 |     1.519 |     1.302 |     1.298 |
+#&gt; |    F| Forward Diff. |    -1.528 |    0.2260 |    0.2581 |   -0.1311 |
+#&gt; |.....................|   -0.6478 |    -1.074 |    0.7096 |     1.705 |
+#&gt; |.....................|    -1.609 |    0.2690 |    0.3809 |   -0.6419 |
+#&gt; |<span style='font-weight: bold;'>   34</span>|     458.11744 |    0.9975 |    -1.436 |   -0.8997 |   -0.8703 |
+#&gt; |.....................|   -0.7862 |   -0.5262 |   -0.7283 |   -0.9571 |
+#&gt; |.....................|    -1.029 |   -0.5904 |   -0.6788 |   -0.7168 |
+#&gt; |    U|     458.11744 |     93.76 |    -5.836 |   -0.9786 |   -0.1749 |
+#&gt; |.....................|     2.163 |     2.325 |     1.283 |    0.6926 |
+#&gt; |.....................|    0.7399 |     1.519 |     1.302 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11744</span> |     93.76 |  0.002920 |    0.2732 |    0.8395 |
+#&gt; |.....................|     8.696 |     2.325 |     1.283 |    0.6926 |
+#&gt; |.....................|    0.7399 |     1.519 |     1.302 |     1.298 |
+#&gt; |    F| Forward Diff. |     1.737 |    0.2262 |    0.2659 |   -0.1276 |
+#&gt; |.....................|   -0.6346 |   -0.9458 |    0.5100 |     1.567 |
+#&gt; |.....................|    -1.640 |    0.3111 |    0.3526 |   -0.6225 |
+#&gt; |<span style='font-weight: bold;'>   35</span>|     458.11714 |    0.9972 |    -1.436 |   -0.8998 |   -0.8703 |
+#&gt; |.....................|   -0.7861 |   -0.5260 |   -0.7284 |   -0.9574 |
+#&gt; |.....................|    -1.029 |   -0.5905 |   -0.6789 |   -0.7167 |
+#&gt; |    U|     458.11714 |     93.74 |    -5.836 |   -0.9786 |   -0.1749 |
+#&gt; |.....................|     2.163 |     2.325 |     1.283 |    0.6924 |
+#&gt; |.....................|    0.7402 |     1.519 |     1.302 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11714</span> |     93.74 |  0.002920 |    0.2732 |    0.8395 |
+#&gt; |.....................|     8.697 |     2.325 |     1.283 |    0.6924 |
+#&gt; |.....................|    0.7402 |     1.519 |     1.302 |     1.298 |
+#&gt; |    F| Forward Diff. |    -1.976 |    0.2241 |    0.2491 |   -0.1309 |
+#&gt; |.....................|   -0.6467 |   -0.8649 |    0.8521 |     1.757 |
+#&gt; |.....................|    -1.585 |    0.2641 |    0.3618 |   -0.6092 |
+#&gt; |<span style='font-weight: bold;'>   36</span>|     458.11663 |    0.9975 |    -1.436 |   -0.8998 |   -0.8703 |
+#&gt; |.....................|   -0.7860 |   -0.5259 |   -0.7285 |   -0.9576 |
+#&gt; |.....................|    -1.028 |   -0.5905 |   -0.6789 |   -0.7166 |
+#&gt; |    U|     458.11663 |     93.76 |    -5.836 |   -0.9787 |   -0.1749 |
+#&gt; |.....................|     2.163 |     2.325 |     1.283 |    0.6923 |
+#&gt; |.....................|    0.7404 |     1.518 |     1.301 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11663</span> |     93.76 |  0.002920 |    0.2732 |    0.8396 |
+#&gt; |.....................|     8.698 |     2.325 |     1.283 |    0.6923 |
+#&gt; |.....................|    0.7404 |     1.518 |     1.301 |     1.298 |
+#&gt; |    F| Forward Diff. |     2.001 |    0.2249 |    0.2609 |   -0.1271 |
+#&gt; |.....................|   -0.6310 |   -0.8317 |    0.8110 |     1.745 |
+#&gt; |.....................|   -0.3162 |    0.2564 |    0.3586 |   -0.6097 |
+#&gt; |<span style='font-weight: bold;'>   37</span>|     458.11610 |    0.9971 |    -1.436 |   -0.8999 |   -0.8702 |
+#&gt; |.....................|   -0.7859 |   -0.5258 |   -0.7286 |   -0.9579 |
+#&gt; |.....................|    -1.028 |   -0.5906 |   -0.6790 |   -0.7165 |
+#&gt; |    U|      458.1161 |     93.73 |    -5.836 |   -0.9787 |   -0.1749 |
+#&gt; |.....................|     2.163 |     2.325 |     1.283 |    0.6920 |
+#&gt; |.....................|    0.7404 |     1.518 |     1.301 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>      458.1161</span> |     93.73 |  0.002920 |    0.2732 |    0.8396 |
+#&gt; |.....................|     8.699 |     2.325 |     1.283 |    0.6920 |
+#&gt; |.....................|    0.7404 |     1.518 |     1.301 |     1.298 |
+#&gt; |    F| Forward Diff. |    -2.471 |    0.2228 |    0.2417 |   -0.1310 |
+#&gt; |.....................|   -0.6447 |    -1.605 |  0.009434 |     1.531 |
+#&gt; |.....................|    -1.615 |    0.2909 |    0.3664 |   -0.6093 |
+#&gt; |<span style='font-weight: bold;'>   38</span>|     458.11531 |    0.9974 |    -1.436 |   -0.8999 |   -0.8702 |
+#&gt; |.....................|   -0.7859 |   -0.5256 |   -0.7287 |   -0.9582 |
+#&gt; |.....................|    -1.028 |   -0.5905 |   -0.6791 |   -0.7164 |
+#&gt; |    U|     458.11531 |     93.76 |    -5.836 |   -0.9788 |   -0.1749 |
+#&gt; |.....................|     2.163 |     2.326 |     1.283 |    0.6918 |
+#&gt; |.....................|    0.7405 |     1.518 |     1.301 |     1.299 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11531</span> |     93.76 |  0.002919 |    0.2731 |    0.8396 |
+#&gt; |.....................|     8.699 |     2.326 |     1.283 |    0.6918 |
+#&gt; |.....................|    0.7405 |     1.518 |     1.301 |     1.299 |
+#&gt; |    F| Forward Diff. |     1.540 |    0.2236 |    0.2522 |   -0.1268 |
+#&gt; |.....................|   -0.6308 |   -0.9638 |    0.7239 |     1.714 |
+#&gt; |.....................|    -1.540 |    0.2567 |    0.3599 |   -0.5942 |
+#&gt; |<span style='font-weight: bold;'>   39</span>|     458.11496 |    0.9972 |    -1.436 |   -0.8999 |   -0.8702 |
+#&gt; |.....................|   -0.7858 |   -0.5254 |   -0.7288 |   -0.9585 |
+#&gt; |.....................|    -1.028 |   -0.5906 |   -0.6791 |   -0.7163 |
+#&gt; |    U|     458.11496 |     93.74 |    -5.836 |   -0.9788 |   -0.1748 |
+#&gt; |.....................|     2.163 |     2.326 |     1.283 |    0.6916 |
+#&gt; |.....................|    0.7408 |     1.518 |     1.301 |     1.299 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11496</span> |     93.74 |  0.002919 |    0.2731 |    0.8396 |
+#&gt; |.....................|     8.700 |     2.326 |     1.283 |    0.6916 |
+#&gt; |.....................|    0.7408 |     1.518 |     1.301 |     1.299 |
+#&gt; |    F| Forward Diff. |    -1.772 |    0.2217 |    0.2376 |   -0.1305 |
+#&gt; |.....................|   -0.6412 |    -1.736 |    0.1210 |     1.307 |
+#&gt; |.....................|    -1.540 |    0.2780 |    0.3483 |   -0.5916 |
+#&gt; |<span style='font-weight: bold;'>   40</span>|     458.11458 |    0.9975 |    -1.436 |   -0.9000 |   -0.8702 |
+#&gt; |.....................|   -0.7857 |   -0.5252 |   -0.7289 |   -0.9587 |
+#&gt; |.....................|    -1.028 |   -0.5906 |   -0.6792 |   -0.7163 |
+#&gt; |    U|     458.11458 |     93.76 |    -5.836 |   -0.9788 |   -0.1748 |
+#&gt; |.....................|     2.163 |     2.326 |     1.283 |    0.6915 |
+#&gt; |.....................|    0.7410 |     1.518 |     1.301 |     1.299 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11458</span> |     93.76 |  0.002919 |    0.2731 |    0.8396 |
+#&gt; |.....................|     8.701 |     2.326 |     1.283 |    0.6915 |
+#&gt; |.....................|    0.7410 |     1.518 |     1.301 |     1.299 |
+#&gt; |    F| Forward Diff. |     1.896 |    0.2223 |    0.2476 |   -0.1262 |
+#&gt; |.....................|   -0.6268 |   -0.4531 |    0.7600 |     1.698 |
+#&gt; |.....................|    -1.483 |    0.2984 |    0.3374 |   -0.6006 |
+#&gt; |<span style='font-weight: bold;'>   41</span>|     458.11430 |    0.9972 |    -1.436 |   -0.9000 |   -0.8702 |
+#&gt; |.....................|   -0.7856 |   -0.5251 |   -0.7290 |   -0.9589 |
+#&gt; |.....................|    -1.027 |   -0.5907 |   -0.6792 |   -0.7162 |
+#&gt; |    U|      458.1143 |     93.73 |    -5.836 |   -0.9789 |   -0.1748 |
+#&gt; |.....................|     2.164 |     2.326 |     1.283 |    0.6913 |
+#&gt; |.....................|    0.7412 |     1.518 |     1.301 |     1.299 |
+#&gt; |    X|<span style='font-weight: bold;'>      458.1143</span> |     93.73 |  0.002919 |    0.2731 |    0.8396 |
+#&gt; |.....................|     8.702 |     2.326 |     1.283 |    0.6913 |
+#&gt; |.....................|    0.7412 |     1.518 |     1.301 |     1.299 |
+#&gt; |    F| Forward Diff. |    -2.121 |    0.2201 |    0.2306 |   -0.1307 |
+#&gt; |.....................|   -0.6392 |   -0.8820 |    0.4853 |     1.475 |
+#&gt; |.....................|    -1.568 |    0.2856 |    0.3442 |   -0.5942 |
+#&gt; |<span style='font-weight: bold;'>   42</span>|     458.11392 |    0.9975 |    -1.437 |   -0.9001 |   -0.8702 |
+#&gt; |.....................|   -0.7855 |   -0.5250 |   -0.7290 |   -0.9592 |
+#&gt; |.....................|    -1.027 |   -0.5907 |   -0.6793 |   -0.7161 |
+#&gt; |    U|     458.11392 |     93.76 |    -5.837 |   -0.9789 |   -0.1748 |
+#&gt; |.....................|     2.164 |     2.326 |     1.283 |    0.6911 |
+#&gt; |.....................|    0.7414 |     1.518 |     1.301 |     1.299 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11392</span> |     93.76 |  0.002919 |    0.2731 |    0.8396 |
+#&gt; |.....................|     8.702 |     2.326 |     1.283 |    0.6911 |
+#&gt; |.....................|    0.7414 |     1.518 |     1.301 |     1.299 |
+#&gt; |    F| Forward Diff. |     2.218 |    0.2203 |    0.2415 |   -0.1269 |
+#&gt; |.....................|   -0.6242 |    -1.700 |   -0.1298 |     1.090 |
+#&gt; |.....................|     1.097 |   -0.4639 |    0.3406 |   -0.5940 |
+#&gt; |<span style='font-weight: bold;'>   43</span>|     458.11292 |    0.9972 |    -1.437 |   -0.9001 |   -0.8702 |
+#&gt; |.....................|   -0.7854 |   -0.5247 |   -0.7291 |   -0.9594 |
+#&gt; |.....................|    -1.027 |   -0.5906 |   -0.6794 |   -0.7160 |
+#&gt; |    U|     458.11292 |     93.74 |    -5.837 |   -0.9790 |   -0.1748 |
+#&gt; |.....................|     2.164 |     2.326 |     1.283 |    0.6909 |
+#&gt; |.....................|    0.7412 |     1.518 |     1.301 |     1.299 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11292</span> |     93.74 |  0.002919 |    0.2731 |    0.8396 |
+#&gt; |.....................|     8.703 |     2.326 |     1.283 |    0.6909 |
+#&gt; |.....................|    0.7412 |     1.518 |     1.301 |     1.299 |
+#&gt; |    F| Forward Diff. |    -1.114 |    0.2202 |    0.2288 |   -0.1307 |
+#&gt; |.....................|   -0.6328 |   -0.7727 |    0.7964 |     1.664 |
+#&gt; |.....................|   -0.2569 |    0.2827 |    0.3132 |   -0.5835 |
+#&gt; |<span style='font-weight: bold;'>   44</span>|     458.11219 |    0.9975 |    -1.437 |   -0.9002 |   -0.8701 |
+#&gt; |.....................|   -0.7853 |   -0.5246 |   -0.7293 |   -0.9597 |
+#&gt; |.....................|    -1.027 |   -0.5907 |   -0.6795 |   -0.7158 |
+#&gt; |    U|     458.11219 |     93.76 |    -5.837 |   -0.9790 |   -0.1748 |
+#&gt; |.....................|     2.164 |     2.327 |     1.283 |    0.6907 |
+#&gt; |.....................|    0.7413 |     1.518 |     1.301 |     1.299 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11219</span> |     93.76 |  0.002919 |    0.2731 |    0.8397 |
+#&gt; |.....................|     8.704 |     2.327 |     1.283 |    0.6907 |
+#&gt; |.....................|    0.7413 |     1.518 |     1.301 |     1.299 |
+#&gt; |    F| Forward Diff. |     1.924 |    0.2207 |    0.2357 |   -0.1254 |
+#&gt; |.....................|   -0.6202 |   -0.4451 |    0.8288 |     1.643 |
+#&gt; |.....................|    -1.561 |    0.2786 |    0.3167 |   -0.5797 |
+#&gt; |<span style='font-weight: bold;'>   45</span>|     458.11161 |    0.9972 |    -1.437 |   -0.9002 |   -0.8701 |
+#&gt; |.....................|   -0.7852 |   -0.5246 |   -0.7295 |   -0.9601 |
+#&gt; |.....................|    -1.027 |   -0.5907 |   -0.6795 |   -0.7157 |
+#&gt; |    U|     458.11161 |     93.74 |    -5.837 |   -0.9791 |   -0.1747 |
+#&gt; |.....................|     2.164 |     2.327 |     1.283 |    0.6904 |
+#&gt; |.....................|    0.7414 |     1.518 |     1.301 |     1.299 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11161</span> |     93.74 |  0.002918 |    0.2731 |    0.8397 |
+#&gt; |.....................|     8.705 |     2.327 |     1.283 |    0.6904 |
+#&gt; |.....................|    0.7414 |     1.518 |     1.301 |     1.299 |
+#&gt; |    F| Forward Diff. |    -1.221 |    0.2188 |    0.2217 |   -0.1291 |
+#&gt; |.....................|   -0.6301 |    -1.629 |    0.1332 |     1.223 |
+#&gt; |.....................|    -1.491 |    0.2969 |    0.3215 |   -0.5516 |
+#&gt; |<span style='font-weight: bold;'>   46</span>|     458.11130 |    0.9974 |    -1.437 |   -0.9003 |   -0.8701 |
+#&gt; |.....................|   -0.7851 |   -0.5243 |   -0.7295 |   -0.9603 |
+#&gt; |.....................|    -1.027 |   -0.5907 |   -0.6796 |   -0.7156 |
+#&gt; |    U|      458.1113 |     93.76 |    -5.837 |   -0.9791 |   -0.1747 |
+#&gt; |.....................|     2.164 |     2.327 |     1.283 |    0.6902 |
+#&gt; |.....................|    0.7416 |     1.518 |     1.301 |     1.299 |
+#&gt; |    X|<span style='font-weight: bold;'>      458.1113</span> |     93.76 |  0.002918 |    0.2731 |    0.8397 |
+#&gt; |.....................|     8.706 |     2.327 |     1.283 |    0.6902 |
+#&gt; |.....................|    0.7416 |     1.518 |     1.301 |     1.299 |
+#&gt; |    F| Forward Diff. |     1.605 |    0.2188 |    0.2279 |   -0.1262 |
+#&gt; |.....................|   -0.6191 |    -1.596 |    0.1216 |     1.254 |
+#&gt; |.....................|     1.158 |   -0.4084 |    0.3005 |   -0.5648 |
+#&gt; |<span style='font-weight: bold;'>   47</span>|     458.11059 |    0.9972 |    -1.437 |   -0.9003 |   -0.8701 |
+#&gt; |.....................|   -0.7850 |   -0.5240 |   -0.7295 |   -0.9605 |
+#&gt; |.....................|    -1.027 |   -0.5906 |   -0.6796 |   -0.7155 |
+#&gt; |    U|     458.11059 |     93.73 |    -5.837 |   -0.9791 |   -0.1747 |
+#&gt; |.....................|     2.164 |     2.327 |     1.283 |    0.6901 |
+#&gt; |.....................|    0.7415 |     1.518 |     1.301 |     1.300 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.11059</span> |     93.73 |  0.002918 |    0.2731 |    0.8397 |
+#&gt; |.....................|     8.707 |     2.327 |     1.283 |    0.6901 |
+#&gt; |.....................|    0.7415 |     1.518 |     1.301 |     1.300 |
+#&gt; |    F| Forward Diff. |    -2.022 |    0.2179 |    0.2140 |   -0.1317 |
+#&gt; |.....................|   -0.6294 |   -0.4112 |    0.8588 |     1.629 |
+#&gt; |.....................|    -1.524 |    0.3410 |    0.3226 |   -0.5400 |
+#&gt; |<span style='font-weight: bold;'>   48</span>|     458.10995 |    0.9975 |    -1.437 |   -0.9003 |   -0.8701 |
+#&gt; |.....................|   -0.7849 |   -0.5239 |   -0.7297 |   -0.9608 |
+#&gt; |.....................|    -1.027 |   -0.5906 |   -0.6797 |   -0.7154 |
+#&gt; |    U|     458.10995 |     93.76 |    -5.837 |   -0.9792 |   -0.1747 |
+#&gt; |.....................|     2.164 |     2.327 |     1.283 |    0.6899 |
+#&gt; |.....................|    0.7416 |     1.518 |     1.301 |     1.300 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10995</span> |     93.76 |  0.002918 |    0.2731 |    0.8397 |
+#&gt; |.....................|     8.708 |     2.327 |     1.283 |    0.6899 |
+#&gt; |.....................|    0.7416 |     1.518 |     1.301 |     1.300 |
+#&gt; |    F| Forward Diff. |     1.872 |    0.2188 |    0.2245 |   -0.1278 |
+#&gt; |.....................|   -0.6141 |    -1.055 |    0.5121 |     1.433 |
+#&gt; |.....................|    -1.504 |    0.3641 |    0.3235 |   -0.5302 |
+#&gt; |<span style='font-weight: bold;'>   49</span>|     458.10978 |    0.9972 |    -1.437 |   -0.9004 |   -0.8700 |
+#&gt; |.....................|   -0.7848 |   -0.5238 |   -0.7297 |   -0.9610 |
+#&gt; |.....................|    -1.027 |   -0.5907 |   -0.6797 |   -0.7153 |
+#&gt; |    U|     458.10978 |     93.73 |    -5.837 |   -0.9792 |   -0.1747 |
+#&gt; |.....................|     2.164 |     2.327 |     1.282 |    0.6897 |
+#&gt; |.....................|    0.7418 |     1.518 |     1.301 |     1.300 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10978</span> |     93.73 |  0.002918 |    0.2730 |    0.8397 |
+#&gt; |.....................|     8.709 |     2.327 |     1.282 |    0.6897 |
+#&gt; |.....................|    0.7418 |     1.518 |     1.301 |     1.300 |
+#&gt; |    C| Central Diff. |    -2.410 |    0.2142 |    0.1743 |   -0.1457 |
+#&gt; |.....................|   -0.6441 |   -0.7806 |    0.7426 |     1.188 |
+#&gt; |.....................|  -0.06181 |   -0.3659 |    0.5158 |   -0.5913 |
+#&gt; |<span style='font-weight: bold;'>   50</span>|     458.10914 |    0.9975 |    -1.437 |   -0.9004 |   -0.8700 |
+#&gt; |.....................|   -0.7847 |   -0.5236 |   -0.7299 |   -0.9612 |
+#&gt; |.....................|    -1.027 |   -0.5906 |   -0.6798 |   -0.7152 |
+#&gt; |    U|     458.10914 |     93.77 |    -5.837 |   -0.9792 |   -0.1747 |
+#&gt; |.....................|     2.164 |     2.327 |     1.282 |    0.6895 |
+#&gt; |.....................|    0.7418 |     1.518 |     1.300 |     1.300 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10914</span> |     93.77 |  0.002918 |    0.2730 |    0.8397 |
+#&gt; |.....................|     8.709 |     2.327 |     1.282 |    0.6895 |
+#&gt; |.....................|    0.7418 |     1.518 |     1.300 |     1.300 |
+#&gt; |    F| Forward Diff. |     2.690 |    0.2171 |    0.2203 |   -0.1291 |
+#&gt; |.....................|   -0.6099 |   -0.7940 |    0.4528 |     1.377 |
+#&gt; |.....................|    -1.452 |    0.2831 |    0.2911 |   -0.5300 |
+#&gt; |<span style='font-weight: bold;'>   51</span>|     458.10832 |    0.9972 |    -1.437 |   -0.9004 |   -0.8700 |
+#&gt; |.....................|   -0.7846 |   -0.5235 |   -0.7300 |   -0.9615 |
+#&gt; |.....................|    -1.027 |   -0.5905 |   -0.6799 |   -0.7151 |
+#&gt; |    U|     458.10832 |     93.74 |    -5.837 |   -0.9793 |   -0.1747 |
+#&gt; |.....................|     2.164 |     2.328 |     1.282 |    0.6893 |
+#&gt; |.....................|    0.7418 |     1.518 |     1.300 |     1.300 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10832</span> |     93.74 |  0.002918 |    0.2730 |    0.8397 |
+#&gt; |.....................|     8.710 |     2.328 |     1.282 |    0.6893 |
+#&gt; |.....................|    0.7418 |     1.518 |     1.300 |     1.300 |
+#&gt; |    F| Forward Diff. |    -1.386 |    0.2164 |    0.2066 |   -0.1317 |
+#&gt; |.....................|   -0.6210 |   -0.6390 |    0.8493 |     1.598 |
+#&gt; |.....................|    -1.491 |    0.2964 |    0.2278 |   -0.4988 |
+#&gt; |<span style='font-weight: bold;'>   52</span>|     458.10801 |    0.9974 |    -1.437 |   -0.9005 |   -0.8700 |
+#&gt; |.....................|   -0.7845 |   -0.5234 |   -0.7302 |   -0.9618 |
+#&gt; |.....................|    -1.026 |   -0.5906 |   -0.6800 |   -0.7150 |
+#&gt; |    U|     458.10801 |     93.76 |    -5.837 |   -0.9793 |   -0.1746 |
+#&gt; |.....................|     2.165 |     2.328 |     1.282 |    0.6891 |
+#&gt; |.....................|    0.7421 |     1.518 |     1.300 |     1.300 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10801</span> |     93.76 |  0.002918 |    0.2730 |    0.8398 |
+#&gt; |.....................|     8.711 |     2.328 |     1.282 |    0.6891 |
+#&gt; |.....................|    0.7421 |     1.518 |     1.300 |     1.300 |
+#&gt; |    F| Forward Diff. |     1.854 |    0.2167 |    0.2150 |   -0.1282 |
+#&gt; |.....................|   -0.6083 |   -0.7461 |    0.7029 |     1.539 |
+#&gt; |.....................|   -0.1981 |    0.2733 |    0.2717 |   -0.5257 |
+#&gt; |<span style='font-weight: bold;'>   53</span>|     458.10765 |    0.9971 |    -1.437 |   -0.9005 |   -0.8700 |
+#&gt; |.....................|   -0.7844 |   -0.5232 |   -0.7303 |   -0.9621 |
+#&gt; |.....................|    -1.026 |   -0.5906 |   -0.6800 |   -0.7149 |
+#&gt; |    U|     458.10765 |     93.73 |    -5.837 |   -0.9794 |   -0.1746 |
+#&gt; |.....................|     2.165 |     2.328 |     1.282 |    0.6889 |
+#&gt; |.....................|    0.7421 |     1.518 |     1.300 |     1.300 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10765</span> |     93.73 |  0.002917 |    0.2730 |    0.8398 |
+#&gt; |.....................|     8.712 |     2.328 |     1.282 |    0.6889 |
+#&gt; |.....................|    0.7421 |     1.518 |     1.300 |     1.300 |
+#&gt; |    F| Forward Diff. |    -2.678 |    0.2148 |    0.1964 |   -0.1329 |
+#&gt; |.....................|   -0.6222 |   -0.7140 |    0.5004 |     1.353 |
+#&gt; |.....................|   -0.2647 |    0.3470 |    0.3026 |   -0.5041 |
+#&gt; |<span style='font-weight: bold;'>   54</span>|     458.10677 |    0.9974 |    -1.437 |   -0.9006 |   -0.8700 |
+#&gt; |.....................|   -0.7843 |   -0.5231 |   -0.7305 |   -0.9624 |
+#&gt; |.....................|    -1.026 |   -0.5907 |   -0.6801 |   -0.7148 |
+#&gt; |    U|     458.10677 |     93.76 |    -5.837 |   -0.9794 |   -0.1746 |
+#&gt; |.....................|     2.165 |     2.328 |     1.282 |    0.6887 |
+#&gt; |.....................|    0.7421 |     1.518 |     1.300 |     1.300 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10677</span> |     93.76 |  0.002917 |    0.2730 |    0.8398 |
+#&gt; |.....................|     8.713 |     2.328 |     1.282 |    0.6887 |
+#&gt; |.....................|    0.7421 |     1.518 |     1.300 |     1.300 |
+#&gt; |    F| Forward Diff. |     1.911 |    0.2164 |    0.2105 |   -0.1281 |
+#&gt; |.....................|   -0.6034 |   -0.7920 |    0.6471 |     1.488 |
+#&gt; |.....................|   -0.2445 |    0.2110 |    0.2380 |   -0.4469 |
+#&gt; |<span style='font-weight: bold;'>   55</span>|     458.10609 |    0.9972 |    -1.437 |   -0.9006 |   -0.8700 |
+#&gt; |.....................|   -0.7842 |   -0.5230 |   -0.7306 |   -0.9627 |
+#&gt; |.....................|    -1.026 |   -0.5907 |   -0.6801 |   -0.7147 |
+#&gt; |    U|     458.10609 |     93.74 |    -5.837 |   -0.9794 |   -0.1746 |
+#&gt; |.....................|     2.165 |     2.328 |     1.282 |    0.6884 |
+#&gt; |.....................|    0.7421 |     1.518 |     1.300 |     1.300 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10609</span> |     93.74 |  0.002917 |    0.2730 |    0.8398 |
+#&gt; |.....................|     8.714 |     2.328 |     1.282 |    0.6884 |
+#&gt; |.....................|    0.7421 |     1.518 |     1.300 |     1.300 |
+#&gt; |    F| Forward Diff. |    -1.589 |    0.2148 |    0.1951 |   -0.1322 |
+#&gt; |.....................|   -0.6145 |   -0.8575 |    0.5942 |     1.427 |
+#&gt; |.....................|    -1.492 |    0.2699 |    0.1872 |   -0.4796 |
+#&gt; |<span style='font-weight: bold;'>   56</span>|     458.10567 |    0.9974 |    -1.437 |   -0.9006 |   -0.8699 |
+#&gt; |.....................|   -0.7841 |   -0.5228 |   -0.7308 |   -0.9630 |
+#&gt; |.....................|    -1.026 |   -0.5907 |   -0.6801 |   -0.7146 |
+#&gt; |    U|     458.10567 |     93.76 |    -5.837 |   -0.9795 |   -0.1746 |
+#&gt; |.....................|     2.165 |     2.328 |     1.282 |    0.6882 |
+#&gt; |.....................|    0.7422 |     1.518 |     1.300 |     1.301 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10567</span> |     93.76 |  0.002917 |    0.2730 |    0.8398 |
+#&gt; |.....................|     8.715 |     2.328 |     1.282 |    0.6882 |
+#&gt; |.....................|    0.7422 |     1.518 |     1.300 |     1.301 |
+#&gt; |    F| Forward Diff. |     1.760 |    0.2153 |    0.2043 |   -0.1283 |
+#&gt; |.....................|   -0.6005 |   -0.7529 |    0.6292 |     1.454 |
+#&gt; |.....................|   -0.2107 |    0.2534 |    0.2280 |   -0.4318 |
+#&gt; |<span style='font-weight: bold;'>   57</span>|     458.10540 |    0.9971 |    -1.437 |   -0.9007 |   -0.8699 |
+#&gt; |.....................|   -0.7840 |   -0.5227 |   -0.7309 |   -0.9633 |
+#&gt; |.....................|    -1.026 |   -0.5907 |   -0.6801 |   -0.7146 |
+#&gt; |    U|      458.1054 |     93.73 |    -5.837 |   -0.9795 |   -0.1745 |
+#&gt; |.....................|     2.165 |     2.328 |     1.282 |    0.6880 |
+#&gt; |.....................|    0.7423 |     1.518 |     1.300 |     1.301 |
+#&gt; |    X|<span style='font-weight: bold;'>      458.1054</span> |     93.73 |  0.002917 |    0.2730 |    0.8398 |
+#&gt; |.....................|     8.716 |     2.328 |     1.282 |    0.6880 |
+#&gt; |.....................|    0.7423 |     1.518 |     1.300 |     1.301 |
+#&gt; |    F| Forward Diff. |    -2.789 |    0.2130 |    0.1850 |   -0.1339 |
+#&gt; |.....................|   -0.6160 |   -0.6903 |    0.7130 |     1.481 |
+#&gt; |.....................|   -0.1975 |    0.2824 |    0.2646 |   -0.4868 |
+#&gt; |<span style='font-weight: bold;'>   58</span>|     458.10444 |    0.9974 |    -1.437 |   -0.9007 |   -0.8699 |
+#&gt; |.....................|   -0.7839 |   -0.5226 |   -0.7311 |   -0.9636 |
+#&gt; |.....................|    -1.026 |   -0.5907 |   -0.6801 |   -0.7145 |
+#&gt; |    U|     458.10444 |     93.76 |    -5.837 |   -0.9796 |   -0.1745 |
+#&gt; |.....................|     2.165 |     2.329 |     1.282 |    0.6878 |
+#&gt; |.....................|    0.7423 |     1.518 |     1.300 |     1.301 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10444</span> |     93.76 |  0.002916 |    0.2730 |    0.8398 |
+#&gt; |.....................|     8.717 |     2.329 |     1.282 |    0.6878 |
+#&gt; |.....................|    0.7423 |     1.518 |     1.300 |     1.301 |
+#&gt; |    F| Forward Diff. |     1.285 |    0.2143 |    0.1972 |   -0.1290 |
+#&gt; |.....................|   -0.5987 |   -0.7355 |    0.6064 |     1.421 |
+#&gt; |.....................|    -1.460 |    0.2526 |    0.2188 |   -0.4206 |
+#&gt; |<span style='font-weight: bold;'>   59</span>|     458.10435 |    0.9972 |    -1.437 |   -0.9008 |   -0.8699 |
+#&gt; |.....................|   -0.7838 |   -0.5224 |   -0.7312 |   -0.9638 |
+#&gt; |.....................|    -1.026 |   -0.5908 |   -0.6802 |   -0.7144 |
+#&gt; |    U|     458.10435 |     93.73 |    -5.837 |   -0.9796 |   -0.1745 |
+#&gt; |.....................|     2.165 |     2.329 |     1.282 |    0.6876 |
+#&gt; |.....................|    0.7425 |     1.518 |     1.300 |     1.301 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10435</span> |     93.73 |  0.002916 |    0.2730 |    0.8399 |
+#&gt; |.....................|     8.718 |     2.329 |     1.282 |    0.6876 |
+#&gt; |.....................|    0.7425 |     1.518 |     1.300 |     1.301 |
+#&gt; |    C| Central Diff. |    -2.184 |    0.2097 |    0.1486 |   -0.1446 |
+#&gt; |.....................|   -0.6255 |   -0.7028 |    0.6444 |     1.495 |
+#&gt; |.....................|    -1.416 |    0.3010 |    0.4942 |   -0.5303 |
+#&gt; |<span style='font-weight: bold;'>   60</span>|     458.10393 |    0.9975 |    -1.438 |   -0.9008 |   -0.8699 |
+#&gt; |.....................|   -0.7837 |   -0.5223 |   -0.7313 |   -0.9641 |
+#&gt; |.....................|    -1.026 |   -0.5908 |   -0.6802 |   -0.7143 |
+#&gt; |    U|     458.10393 |     93.76 |    -5.838 |   -0.9796 |   -0.1745 |
+#&gt; |.....................|     2.165 |     2.329 |     1.282 |    0.6873 |
+#&gt; |.....................|    0.7426 |     1.518 |     1.300 |     1.301 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10393</span> |     93.76 |  0.002916 |    0.2730 |    0.8399 |
+#&gt; |.....................|     8.718 |     2.329 |     1.282 |    0.6873 |
+#&gt; |.....................|    0.7426 |     1.518 |     1.300 |     1.301 |
+#&gt; |    F| Forward Diff. |     2.045 |    0.2119 |    0.1940 |   -0.1305 |
+#&gt; |.....................|   -0.5955 |   -0.7252 |    0.6285 |     1.413 |
+#&gt; |.....................|   -0.2070 |    0.2194 |    0.2208 |   -0.3980 |
+#&gt; |<span style='font-weight: bold;'>   61</span>|     458.10364 |    0.9971 |    -1.438 |   -0.9008 |   -0.8699 |
+#&gt; |.....................|   -0.7836 |   -0.5222 |   -0.7314 |   -0.9644 |
+#&gt; |.....................|    -1.026 |   -0.5908 |   -0.6803 |   -0.7142 |
+#&gt; |    U|     458.10364 |     93.73 |    -5.838 |   -0.9796 |   -0.1745 |
+#&gt; |.....................|     2.166 |     2.329 |     1.281 |    0.6871 |
+#&gt; |.....................|    0.7427 |     1.518 |     1.300 |     1.301 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10364</span> |     93.73 |  0.002916 |    0.2730 |    0.8399 |
+#&gt; |.....................|     8.719 |     2.329 |     1.281 |    0.6871 |
+#&gt; |.....................|    0.7427 |     1.518 |     1.300 |     1.301 |
+#&gt; |    F| Forward Diff. |    -2.727 |    0.2108 |    0.1771 |   -0.1339 |
+#&gt; |.....................|   -0.6094 |   -0.7304 |    0.6317 |     1.376 |
+#&gt; |.....................|    -1.443 |    0.2644 |    0.2580 |   -0.4629 |
+#&gt; |<span style='font-weight: bold;'>   62</span>|     458.10286 |    0.9974 |    -1.438 |   -0.9008 |   -0.8699 |
+#&gt; |.....................|   -0.7835 |   -0.5221 |   -0.7316 |   -0.9647 |
+#&gt; |.....................|    -1.026 |   -0.5908 |   -0.6803 |   -0.7141 |
+#&gt; |    U|     458.10286 |     93.75 |    -5.838 |   -0.9796 |   -0.1745 |
+#&gt; |.....................|     2.166 |     2.329 |     1.281 |    0.6869 |
+#&gt; |.....................|    0.7427 |     1.518 |     1.300 |     1.301 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10286</span> |     93.75 |  0.002915 |    0.2730 |    0.8399 |
+#&gt; |.....................|     8.720 |     2.329 |     1.281 |    0.6869 |
+#&gt; |.....................|    0.7427 |     1.518 |     1.300 |     1.301 |
+#&gt; |    F| Forward Diff. |     1.225 |    0.2118 |    0.1898 |   -0.1294 |
+#&gt; |.....................|   -0.5932 |   -0.6493 |    0.6517 |     1.411 |
+#&gt; |.....................|   -0.1402 |    0.3233 |    0.2428 |   -0.3732 |
+#&gt; |<span style='font-weight: bold;'>   63</span>|     458.10253 |    0.9971 |    -1.438 |   -0.9009 |   -0.8698 |
+#&gt; |.....................|   -0.7834 |   -0.5219 |   -0.7318 |   -0.9650 |
+#&gt; |.....................|    -1.026 |   -0.5909 |   -0.6803 |   -0.7141 |
+#&gt; |    U|     458.10253 |     93.73 |    -5.838 |   -0.9797 |   -0.1745 |
+#&gt; |.....................|     2.166 |     2.329 |     1.281 |    0.6867 |
+#&gt; |.....................|    0.7428 |     1.518 |     1.300 |     1.301 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10253</span> |     93.73 |  0.002915 |    0.2730 |    0.8399 |
+#&gt; |.....................|     8.721 |     2.329 |     1.281 |    0.6867 |
+#&gt; |.....................|    0.7428 |     1.518 |     1.300 |     1.301 |
+#&gt; |    F| Forward Diff. |    -2.449 |    0.2099 |    0.1736 |   -0.1338 |
+#&gt; |.....................|   -0.6049 |   -0.7015 |    0.6330 |     1.384 |
+#&gt; |.....................|   -0.1863 |    0.2615 |    0.2563 |   -0.4532 |
+#&gt; |<span style='font-weight: bold;'>   64</span>|     458.10167 |    0.9974 |    -1.438 |   -0.9009 |   -0.8698 |
+#&gt; |.....................|   -0.7832 |   -0.5218 |   -0.7320 |   -0.9653 |
+#&gt; |.....................|    -1.026 |   -0.5909 |   -0.6804 |   -0.7140 |
+#&gt; |    U|     458.10167 |     93.76 |    -5.838 |   -0.9797 |   -0.1744 |
+#&gt; |.....................|     2.166 |     2.329 |     1.281 |    0.6864 |
+#&gt; |.....................|    0.7427 |     1.518 |     1.300 |     1.301 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10167</span> |     93.76 |  0.002915 |    0.2729 |    0.8399 |
+#&gt; |.....................|     8.722 |     2.329 |     1.281 |    0.6864 |
+#&gt; |.....................|    0.7427 |     1.518 |     1.300 |     1.301 |
+#&gt; |    F| Forward Diff. |     1.422 |    0.2110 |    0.1849 |   -0.1293 |
+#&gt; |.....................|   -0.5889 |   -0.5964 |    0.6731 |     1.405 |
+#&gt; |.....................|   -0.1535 |    0.3114 |    0.2496 |   -0.4521 |
+#&gt; |<span style='font-weight: bold;'>   65</span>|     458.10133 |    0.9971 |    -1.438 |   -0.9009 |   -0.8698 |
+#&gt; |.....................|   -0.7831 |   -0.5217 |   -0.7321 |   -0.9657 |
+#&gt; |.....................|    -1.026 |   -0.5909 |   -0.6804 |   -0.7139 |
+#&gt; |    U|     458.10133 |     93.73 |    -5.838 |   -0.9798 |   -0.1744 |
+#&gt; |.....................|     2.166 |     2.329 |     1.281 |    0.6862 |
+#&gt; |.....................|    0.7428 |     1.518 |     1.300 |     1.301 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10133</span> |     93.73 |  0.002915 |    0.2729 |    0.8400 |
+#&gt; |.....................|     8.723 |     2.329 |     1.281 |    0.6862 |
+#&gt; |.....................|    0.7428 |     1.518 |     1.300 |     1.301 |
+#&gt; |    F| Forward Diff. |    -2.461 |    0.2094 |    0.1688 |   -0.1332 |
+#&gt; |.....................|   -0.6003 |   -0.7109 |    0.5914 |     1.349 |
+#&gt; |.....................|    -1.404 |    0.2951 |    0.2552 |   -0.4331 |
+#&gt; |<span style='font-weight: bold;'>   66</span>|     458.10059 |    0.9974 |    -1.438 |   -0.9009 |   -0.8698 |
+#&gt; |.....................|   -0.7830 |   -0.5215 |   -0.7323 |   -0.9660 |
+#&gt; |.....................|    -1.026 |   -0.5909 |   -0.6804 |   -0.7138 |
+#&gt; |    U|     458.10059 |     93.75 |    -5.838 |   -0.9798 |   -0.1744 |
+#&gt; |.....................|     2.166 |     2.330 |     1.281 |    0.6860 |
+#&gt; |.....................|    0.7428 |     1.518 |     1.300 |     1.302 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10059</span> |     93.75 |  0.002915 |    0.2729 |    0.8400 |
+#&gt; |.....................|     8.724 |     2.330 |     1.281 |    0.6860 |
+#&gt; |.....................|    0.7428 |     1.518 |     1.300 |     1.302 |
+#&gt; |    F| Forward Diff. |     1.228 |    0.2101 |    0.1802 |   -0.1294 |
+#&gt; |.....................|   -0.5857 |   -0.2287 |    0.9339 |     1.558 |
+#&gt; |.....................|    -1.376 |    0.3488 |    0.2665 |   -0.4324 |
+#&gt; |<span style='font-weight: bold;'>   67</span>|     458.10050 |    0.9972 |    -1.438 |   -0.9010 |   -0.8697 |
+#&gt; |.....................|   -0.7829 |   -0.5215 |   -0.7325 |   -0.9663 |
+#&gt; |.....................|    -1.025 |   -0.5910 |   -0.6804 |   -0.7137 |
+#&gt; |    U|      458.1005 |     93.73 |    -5.838 |   -0.9798 |   -0.1744 |
+#&gt; |.....................|     2.166 |     2.330 |     1.281 |    0.6857 |
+#&gt; |.....................|    0.7430 |     1.518 |     1.300 |     1.302 |
+#&gt; |    X|<span style='font-weight: bold;'>      458.1005</span> |     93.73 |  0.002915 |    0.2729 |    0.8400 |
+#&gt; |.....................|     8.725 |     2.330 |     1.281 |    0.6857 |
+#&gt; |.....................|    0.7430 |     1.518 |     1.300 |     1.302 |
+#&gt; |    C| Central Diff. |    -2.045 |    0.2058 |    0.1327 |   -0.1461 |
+#&gt; |.....................|   -0.6105 |   -0.6040 |    0.6130 |    0.9518 |
+#&gt; |.....................|   0.01902 |    0.3702 |    0.4676 |   -0.4886 |
+#&gt; |<span style='font-weight: bold;'>   68</span>|     458.10013 |    0.9974 |    -1.438 |   -0.9010 |   -0.8697 |
+#&gt; |.....................|   -0.7829 |   -0.5214 |   -0.7325 |   -0.9664 |
+#&gt; |.....................|    -1.025 |   -0.5910 |   -0.6805 |   -0.7136 |
+#&gt; |    U|     458.10013 |     93.75 |    -5.838 |   -0.9798 |   -0.1744 |
+#&gt; |.....................|     2.166 |     2.330 |     1.281 |    0.6857 |
+#&gt; |.....................|    0.7430 |     1.518 |     1.300 |     1.302 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10013</span> |     93.75 |  0.002914 |    0.2729 |    0.8400 |
+#&gt; |.....................|     8.725 |     2.330 |     1.281 |    0.6857 |
+#&gt; |.....................|    0.7430 |     1.518 |     1.300 |     1.302 |
+#&gt; |    F| Forward Diff. |    0.8557 |    0.2088 |    0.1747 |   -0.1300 |
+#&gt; |.....................|   -0.5847 |   -0.2393 |    0.9114 |     1.536 |
+#&gt; |.....................|    -1.367 |    0.3016 |    0.2557 |   -0.4123 |
+#&gt; |<span style='font-weight: bold;'>   69</span>|     458.10002 |    0.9973 |    -1.438 |   -0.9010 |   -0.8697 |
+#&gt; |.....................|   -0.7828 |   -0.5214 |   -0.7326 |   -0.9665 |
+#&gt; |.....................|    -1.025 |   -0.5911 |   -0.6805 |   -0.7136 |
+#&gt; |    U|     458.10002 |     93.74 |    -5.838 |   -0.9798 |   -0.1744 |
+#&gt; |.....................|     2.166 |     2.330 |     1.281 |    0.6856 |
+#&gt; |.....................|    0.7432 |     1.518 |     1.300 |     1.302 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.10002</span> |     93.74 |  0.002914 |    0.2729 |    0.8400 |
+#&gt; |.....................|     8.726 |     2.330 |     1.281 |    0.6856 |
+#&gt; |.....................|    0.7432 |     1.518 |     1.300 |     1.302 |
+#&gt; |    C| Central Diff. |   -0.5131 |    0.2058 |    0.1358 |   -0.1441 |
+#&gt; |.....................|   -0.6029 |   -0.6262 |    0.5998 |     1.158 |
+#&gt; |.....................|    -1.373 |    0.3470 |    0.4566 |   -0.4872 |
+#&gt; |<span style='font-weight: bold;'>   70</span>|     458.09992 |    0.9973 |    -1.438 |   -0.9010 |   -0.8697 |
+#&gt; |.....................|   -0.7827 |   -0.5214 |   -0.7327 |   -0.9666 |
+#&gt; |.....................|    -1.025 |   -0.5911 |   -0.6806 |   -0.7135 |
+#&gt; |    U|     458.09992 |     93.75 |    -5.838 |   -0.9799 |   -0.1743 |
+#&gt; |.....................|     2.166 |     2.330 |     1.281 |    0.6855 |
+#&gt; |.....................|    0.7433 |     1.518 |     1.300 |     1.302 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.09992</span> |     93.75 |  0.002914 |    0.2729 |    0.8400 |
+#&gt; |.....................|     8.726 |     2.330 |     1.281 |    0.6855 |
+#&gt; |.....................|    0.7433 |     1.518 |     1.300 |     1.302 |
+#&gt; |    C| Central Diff. |    0.2584 |    0.2056 |    0.1371 |   -0.1438 |
+#&gt; |.....................|   -0.5991 |   -0.6198 |    0.6082 |    0.9676 |
+#&gt; |.....................|     1.295 |    0.3221 |    0.4533 |   -0.4750 |
+#&gt; |<span style='font-weight: bold;'>   71</span>|     458.09944 |    0.9973 |    -1.438 |   -0.9010 |   -0.8697 |
+#&gt; |.....................|   -0.7827 |   -0.5213 |   -0.7328 |   -0.9668 |
+#&gt; |.....................|    -1.025 |   -0.5911 |   -0.6806 |   -0.7135 |
+#&gt; |    U|     458.09944 |     93.75 |    -5.838 |   -0.9799 |   -0.1743 |
+#&gt; |.....................|     2.166 |     2.330 |     1.281 |    0.6854 |
+#&gt; |.....................|    0.7431 |     1.518 |     1.300 |     1.302 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.09944</span> |     93.75 |  0.002914 |    0.2729 |    0.8400 |
+#&gt; |.....................|     8.727 |     2.330 |     1.281 |    0.6854 |
+#&gt; |.....................|    0.7431 |     1.518 |     1.300 |     1.302 |
+#&gt; |<span style='font-weight: bold;'>   72</span>|     458.09825 |    0.9974 |    -1.438 |   -0.9011 |   -0.8697 |
+#&gt; |.....................|   -0.7824 |   -0.5210 |   -0.7332 |   -0.9672 |
+#&gt; |.....................|    -1.025 |   -0.5911 |   -0.6808 |   -0.7131 |
+#&gt; |    U|     458.09825 |     93.76 |    -5.838 |   -0.9799 |   -0.1743 |
+#&gt; |.....................|     2.167 |     2.330 |     1.280 |    0.6851 |
+#&gt; |.....................|    0.7430 |     1.518 |     1.299 |     1.302 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.09825</span> |     93.76 |  0.002914 |    0.2729 |    0.8401 |
+#&gt; |.....................|     8.729 |     2.330 |     1.280 |    0.6851 |
+#&gt; |.....................|    0.7430 |     1.518 |     1.299 |     1.302 |
+#&gt; |<span style='font-weight: bold;'>   73</span>|     458.09793 |    0.9981 |    -1.438 |   -0.9013 |   -0.8695 |
+#&gt; |.....................|   -0.7815 |   -0.5202 |   -0.7349 |   -0.9686 |
+#&gt; |.....................|    -1.026 |   -0.5909 |   -0.6812 |   -0.7117 |
+#&gt; |    U|     458.09793 |     93.82 |    -5.838 |   -0.9801 |   -0.1741 |
+#&gt; |.....................|     2.168 |     2.331 |     1.279 |    0.6840 |
+#&gt; |.....................|    0.7428 |     1.518 |     1.299 |     1.304 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.09793</span> |     93.82 |  0.002913 |    0.2729 |    0.8402 |
+#&gt; |.....................|     8.737 |     2.331 |     1.279 |    0.6840 |
+#&gt; |.....................|    0.7428 |     1.518 |     1.299 |     1.304 |
+#&gt; |    F| Forward Diff. |     10.76 |    0.2116 |    0.1923 |   -0.1162 |
+#&gt; |.....................|   -0.5255 |   -0.5796 |    0.3777 |     1.210 |
+#&gt; |.....................|    -1.409 |    0.2855 |    0.1875 |   -0.3085 |
+#&gt; |<span style='font-weight: bold;'>   74</span>|     458.08987 |    0.9971 |    -1.438 |   -0.9013 |   -0.8695 |
+#&gt; |.....................|   -0.7808 |   -0.5187 |   -0.7369 |   -0.9692 |
+#&gt; |.....................|    -1.026 |   -0.5907 |   -0.6832 |   -0.7095 |
+#&gt; |    U|     458.08987 |     93.72 |    -5.838 |   -0.9802 |   -0.1741 |
+#&gt; |.....................|     2.168 |     2.332 |     1.278 |    0.6836 |
+#&gt; |.....................|    0.7427 |     1.518 |     1.297 |     1.306 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08987</span> |     93.72 |  0.002914 |    0.2729 |    0.8402 |
+#&gt; |.....................|     8.743 |     2.332 |     1.278 |    0.6836 |
+#&gt; |.....................|    0.7427 |     1.518 |     1.297 |     1.306 |
+#&gt; |    F| Forward Diff. |    -2.512 |    0.2078 |    0.1434 |   -0.1372 |
+#&gt; |.....................|   -0.5667 |   -0.8061 |    0.1467 |     1.033 |
+#&gt; |.....................|     1.202 |   -0.4065 |   0.09417 |   -0.1935 |
+#&gt; |<span style='font-weight: bold;'>   75</span>|     458.08564 |    0.9973 |    -1.438 |   -0.9016 |   -0.8695 |
+#&gt; |.....................|   -0.7801 |   -0.5170 |   -0.7384 |   -0.9704 |
+#&gt; |.....................|    -1.026 |   -0.5898 |   -0.6859 |   -0.7082 |
+#&gt; |    U|     458.08564 |     93.74 |    -5.838 |   -0.9804 |   -0.1741 |
+#&gt; |.....................|     2.169 |     2.334 |     1.277 |    0.6827 |
+#&gt; |.....................|    0.7424 |     1.519 |     1.294 |     1.308 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08564</span> |     93.74 |  0.002914 |    0.2728 |    0.8402 |
+#&gt; |.....................|     8.749 |     2.334 |     1.277 |    0.6827 |
+#&gt; |.....................|    0.7424 |     1.519 |     1.294 |     1.308 |
+#&gt; |<span style='font-weight: bold;'>   76</span>|     458.08078 |    0.9972 |    -1.438 |   -0.9021 |   -0.8695 |
+#&gt; |.....................|   -0.7788 |   -0.5136 |   -0.7416 |   -0.9727 |
+#&gt; |.....................|    -1.027 |   -0.5879 |   -0.6916 |   -0.7053 |
+#&gt; |    U|     458.08078 |     93.73 |    -5.838 |   -0.9809 |   -0.1742 |
+#&gt; |.....................|     2.170 |     2.338 |     1.275 |    0.6809 |
+#&gt; |.....................|    0.7420 |     1.522 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08078</span> |     93.73 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.761 |     2.338 |     1.275 |    0.6809 |
+#&gt; |.....................|    0.7420 |     1.522 |     1.288 |     1.311 |
+#&gt; |    F| Forward Diff. |   -0.8456 |    0.2109 |    0.1052 |   -0.1453 |
+#&gt; |.....................|   -0.5381 |   -0.2225 |   -0.1274 |    0.8336 |
+#&gt; |.....................|   -0.2653 |    0.4698 |   -0.4321 |   0.07917 |
+#&gt; |<span style='font-weight: bold;'>   77</span>|     458.08109 |    0.9983 |    -1.445 |   -0.9066 |   -0.8702 |
+#&gt; |.....................|   -0.7727 |   -0.5143 |   -0.7362 |   -0.9770 |
+#&gt; |.....................|    -1.027 |   -0.5885 |   -0.6915 |   -0.7058 |
+#&gt; |    U|     458.08109 |     93.84 |    -5.845 |   -0.9853 |   -0.1748 |
+#&gt; |.....................|     2.176 |     2.337 |     1.279 |    0.6777 |
+#&gt; |.....................|    0.7418 |     1.521 |     1.288 |     1.310 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08109</span> |     93.84 |  0.002894 |    0.2718 |    0.8396 |
+#&gt; |.....................|     8.815 |     2.337 |     1.279 |    0.6777 |
+#&gt; |.....................|    0.7418 |     1.521 |     1.288 |     1.310 |
+#&gt; |<span style='font-weight: bold;'>   78</span>|     458.08775 |    0.9985 |    -1.441 |   -0.9040 |   -0.8696 |
+#&gt; |.....................|   -0.7757 |   -0.5136 |   -0.7393 |   -0.9753 |
+#&gt; |.....................|    -1.026 |   -0.5887 |   -0.6911 |   -0.7056 |
+#&gt; |    U|     458.08775 |     93.86 |    -5.841 |   -0.9828 |   -0.1743 |
+#&gt; |.....................|     2.173 |     2.338 |     1.277 |    0.6789 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08775</span> |     93.86 |  0.002906 |    0.2723 |    0.8401 |
+#&gt; |.....................|     8.788 |     2.338 |     1.277 |    0.6789 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>   79</span>|     458.08407 |    0.9980 |    -1.438 |   -0.9022 |   -0.8694 |
+#&gt; |.....................|   -0.7783 |   -0.5133 |   -0.7415 |   -0.9736 |
+#&gt; |.....................|    -1.026 |   -0.5884 |   -0.6912 |   -0.7054 |
+#&gt; |    U|     458.08407 |     93.81 |    -5.838 |   -0.9810 |   -0.1740 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6802 |
+#&gt; |.....................|    0.7422 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08407</span> |     93.81 |  0.002915 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.766 |     2.338 |     1.275 |    0.6802 |
+#&gt; |.....................|    0.7422 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>   80</span>|     458.08069 |    0.9973 |    -1.438 |   -0.9021 |   -0.8695 |
+#&gt; |.....................|   -0.7787 |   -0.5135 |   -0.7416 |   -0.9729 |
+#&gt; |.....................|    -1.026 |   -0.5880 |   -0.6915 |   -0.7053 |
+#&gt; |    U|     458.08069 |     93.75 |    -5.838 |   -0.9809 |   -0.1741 |
+#&gt; |.....................|     2.170 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7420 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08069</span> |     93.75 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.762 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7420 |     1.521 |     1.288 |     1.311 |
+#&gt; |    F| Forward Diff. |     1.424 |    0.2112 |    0.1114 |   -0.1426 |
+#&gt; |.....................|   -0.5267 |   -0.3290 |  -0.02249 |    0.9218 |
+#&gt; |.....................|    -1.516 |    0.4273 |   -0.4325 |   0.09748 |
+#&gt; |<span style='font-weight: bold;'>   81</span>|     458.08076 |    0.9972 |    -1.438 |   -0.9021 |   -0.8695 |
+#&gt; |.....................|   -0.7786 |   -0.5134 |   -0.7416 |   -0.9730 |
+#&gt; |.....................|    -1.026 |   -0.5880 |   -0.6914 |   -0.7055 |
+#&gt; |    U|     458.08076 |     93.74 |    -5.838 |   -0.9810 |   -0.1741 |
+#&gt; |.....................|     2.170 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08076</span> |     93.74 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.763 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>   82</span>|     458.08078 |    0.9973 |    -1.438 |   -0.9021 |   -0.8695 |
+#&gt; |.....................|   -0.7787 |   -0.5135 |   -0.7416 |   -0.9730 |
+#&gt; |.....................|    -1.026 |   -0.5880 |   -0.6915 |   -0.7053 |
+#&gt; |    U|     458.08078 |     93.74 |    -5.838 |   -0.9809 |   -0.1741 |
+#&gt; |.....................|     2.170 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08078</span> |     93.74 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.762 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>   83</span>|     458.08068 |    0.9973 |    -1.438 |   -0.9021 |   -0.8695 |
+#&gt; |.....................|   -0.7787 |   -0.5135 |   -0.7416 |   -0.9729 |
+#&gt; |.....................|    -1.026 |   -0.5880 |   -0.6915 |   -0.7053 |
+#&gt; |    U|     458.08068 |     93.75 |    -5.838 |   -0.9809 |   -0.1741 |
+#&gt; |.....................|     2.170 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7420 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08068</span> |     93.75 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.762 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7420 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |    0.7458 |    0.2086 |   0.07146 |   -0.1568 |
+#&gt; |.....................|   -0.5453 |   -0.1723 |    0.1066 |    0.6006 |
+#&gt; |.....................|  -0.05957 |    0.1717 |   -0.3314 |   0.06442 |
+#&gt; |<span style='font-weight: bold;'>   84</span>|     458.08065 |    0.9973 |    -1.438 |   -0.9021 |   -0.8695 |
+#&gt; |.....................|   -0.7787 |   -0.5135 |   -0.7416 |   -0.9729 |
+#&gt; |.....................|    -1.026 |   -0.5880 |   -0.6915 |   -0.7053 |
+#&gt; |    U|     458.08065 |     93.74 |    -5.838 |   -0.9809 |   -0.1741 |
+#&gt; |.....................|     2.170 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7420 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08065</span> |     93.74 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.762 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7420 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |    0.5271 |    0.2085 |   0.07055 |   -0.1570 |
+#&gt; |.....................|   -0.5454 |   -0.3138 |   0.09492 |    0.7765 |
+#&gt; |.....................|     1.192 |    0.4934 |   -0.3382 |    0.1071 |
+#&gt; |<span style='font-weight: bold;'>   85</span>|     458.08062 |    0.9973 |    -1.438 |   -0.9021 |   -0.8695 |
+#&gt; |.....................|   -0.7786 |   -0.5135 |   -0.7416 |   -0.9730 |
+#&gt; |.....................|    -1.026 |   -0.5880 |   -0.6915 |   -0.7054 |
+#&gt; |    U|     458.08062 |     93.74 |    -5.838 |   -0.9809 |   -0.1741 |
+#&gt; |.....................|     2.170 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7420 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08062</span> |     93.74 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.762 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7420 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |    0.1077 |    0.2083 |   0.06880 |   -0.1572 |
+#&gt; |.....................|   -0.5469 |   -0.1727 |    0.1219 |    0.9565 |
+#&gt; |.....................|    -1.457 |    0.5128 |   -0.3399 |    0.1022 |
+#&gt; |<span style='font-weight: bold;'>   86</span>|     458.08061 |    0.9972 |    -1.438 |   -0.9021 |   -0.8695 |
+#&gt; |.....................|   -0.7786 |   -0.5135 |   -0.7416 |   -0.9730 |
+#&gt; |.....................|    -1.026 |   -0.5881 |   -0.6914 |   -0.7054 |
+#&gt; |    U|     458.08061 |     93.74 |    -5.838 |   -0.9809 |   -0.1741 |
+#&gt; |.....................|     2.170 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08061</span> |     93.74 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.763 |     2.338 |     1.275 |    0.6807 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |   -0.6930 |    0.2078 |   0.06712 |   -0.1577 |
+#&gt; |.....................|   -0.5484 |   -0.1767 |    0.1148 |    0.9863 |
+#&gt; |.....................|   -0.2038 |    0.5855 |   -0.3296 |    0.1002 |
+#&gt; |<span style='font-weight: bold;'>   87</span>|     458.08058 |    0.9972 |    -1.438 |   -0.9021 |   -0.8695 |
+#&gt; |.....................|   -0.7786 |   -0.5135 |   -0.7416 |   -0.9731 |
+#&gt; |.....................|    -1.026 |   -0.5881 |   -0.6914 |   -0.7054 |
+#&gt; |    U|     458.08058 |     93.74 |    -5.838 |   -0.9809 |   -0.1741 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6806 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08058</span> |     93.74 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.763 |     2.338 |     1.275 |    0.6806 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |   -0.3701 |    0.2079 |   0.06808 |   -0.1573 |
+#&gt; |.....................|   -0.5470 |   -0.1729 |  0.005725 |    0.9526 |
+#&gt; |.....................|    -1.465 |    0.5101 |   -0.1466 |  -0.02770 |
+#&gt; |<span style='font-weight: bold;'>   88</span>|     458.08052 |    0.9973 |    -1.438 |   -0.9021 |   -0.8695 |
+#&gt; |.....................|   -0.7785 |   -0.5135 |   -0.7416 |   -0.9731 |
+#&gt; |.....................|    -1.026 |   -0.5881 |   -0.6914 |   -0.7053 |
+#&gt; |    U|     458.08052 |     93.74 |    -5.838 |   -0.9809 |   -0.1741 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6806 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08052</span> |     93.74 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.763 |     2.338 |     1.275 |    0.6806 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |    0.2062 |    0.2080 |   0.06837 |   -0.1566 |
+#&gt; |.....................|   -0.5439 |   -0.1704 |   0.09858 |    0.5928 |
+#&gt; |.....................|  -0.05984 |    0.5131 |   -0.3447 |   0.06046 |
+#&gt; |<span style='font-weight: bold;'>   89</span>|     458.08047 |    0.9972 |    -1.438 |   -0.9021 |   -0.8694 |
+#&gt; |.....................|   -0.7785 |   -0.5134 |   -0.7416 |   -0.9732 |
+#&gt; |.....................|    -1.026 |   -0.5882 |   -0.6914 |   -0.7054 |
+#&gt; |    U|     458.08047 |     93.74 |    -5.838 |   -0.9809 |   -0.1741 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6805 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08047</span> |     93.74 |  0.002915 |    0.2727 |    0.8402 |
+#&gt; |.....................|     8.764 |     2.338 |     1.275 |    0.6805 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |  -0.06148 |    0.2077 |   0.06828 |   -0.1566 |
+#&gt; |.....................|   -0.5434 |   -0.1748 |    0.1045 |    0.7316 |
+#&gt; |.....................|   -0.7607 |    0.4924 |   -0.3350 |    0.1046 |
+#&gt; |<span style='font-weight: bold;'>   90</span>|     458.08041 |    0.9972 |    -1.438 |   -0.9021 |   -0.8694 |
+#&gt; |.....................|   -0.7784 |   -0.5134 |   -0.7417 |   -0.9733 |
+#&gt; |.....................|    -1.026 |   -0.5883 |   -0.6913 |   -0.7054 |
+#&gt; |    U|     458.08041 |     93.74 |    -5.838 |   -0.9810 |   -0.1740 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6804 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08041</span> |     93.74 |  0.002915 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.765 |     2.338 |     1.275 |    0.6804 |
+#&gt; |.....................|    0.7421 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |   -0.5076 |    0.2073 |   0.06528 |   -0.1564 |
+#&gt; |.....................|   -0.5454 |   -0.1802 |    0.1061 |    0.9740 |
+#&gt; |.....................|   -0.1992 |    0.5430 |   -0.2714 |    0.1031 |
+#&gt; |<span style='font-weight: bold;'>   91</span>|     458.08026 |    0.9972 |    -1.438 |   -0.9022 |   -0.8694 |
+#&gt; |.....................|   -0.7782 |   -0.5133 |   -0.7417 |   -0.9736 |
+#&gt; |.....................|    -1.026 |   -0.5884 |   -0.6912 |   -0.7055 |
+#&gt; |    U|     458.08026 |     93.74 |    -5.838 |   -0.9810 |   -0.1740 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6802 |
+#&gt; |.....................|    0.7422 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08026</span> |     93.74 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.766 |     2.338 |     1.275 |    0.6802 |
+#&gt; |.....................|    0.7422 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |   -0.3779 |    0.2092 |   0.07455 |   -0.1547 |
+#&gt; |.....................|   -0.5349 |    0.4172 |   -0.5362 |    0.7903 |
+#&gt; |.....................|    -1.451 |    0.5182 |   -0.2163 |   -0.4361 |
+#&gt; |<span style='font-weight: bold;'>   92</span>|     458.08039 |    0.9975 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7778 |   -0.5133 |   -0.7416 |   -0.9742 |
+#&gt; |.....................|    -1.026 |   -0.5887 |   -0.6910 |   -0.7056 |
+#&gt; |    U|     458.08039 |     93.76 |    -5.838 |   -0.9811 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6798 |
+#&gt; |.....................|    0.7424 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08039</span> |     93.76 |  0.002914 |    0.2727 |    0.8404 |
+#&gt; |.....................|     8.769 |     2.338 |     1.275 |    0.6798 |
+#&gt; |.....................|    0.7424 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>   93</span>|     458.08025 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08025 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08025</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |     1.019 |    0.2066 |   0.06601 |   -0.1530 |
+#&gt; |.....................|   -0.5270 |   -0.1637 |    0.1163 |    0.9184 |
+#&gt; |.....................|    -1.439 |    0.4715 |   -0.2217 |   0.03756 |
+#&gt; |<span style='font-weight: bold;'>   94</span>|     458.08029 |    0.9972 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08029 |     93.74 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7424 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08029</span> |     93.74 |  0.002914 |    0.2727 |    0.8404 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7424 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>   95</span>|     458.08025 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08025 |     93.74 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7424 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08025</span> |     93.74 |  0.002914 |    0.2727 |    0.8404 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7424 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>   96</span>|     458.08029 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08029 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08029</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>   97</span>|     458.08024 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08024 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08024</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |    0.9275 |    0.2065 |   0.06562 |   -0.1530 |
+#&gt; |.....................|   -0.5278 |   -0.1682 |    0.1168 |    0.9523 |
+#&gt; |.....................|   -0.1838 |    0.4888 |   -0.3154 |   0.09539 |
+#&gt; |<span style='font-weight: bold;'>   98</span>|     458.08024 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08024 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08024</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |    0.8715 |    0.2065 |   0.06540 |   -0.1531 |
+#&gt; |.....................|   -0.5308 |  -0.07756 |    0.1164 |    0.5595 |
+#&gt; |.....................|  -0.04465 |   -0.2577 |   -0.3240 |    0.1066 |
+#&gt; |<span style='font-weight: bold;'>   99</span>|     458.08023 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08023 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08023</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  100</span>|     458.08013 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08013 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08013</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    C| Central Diff. |    0.7255 |    0.2064 |   0.06482 |   -0.1531 |
+#&gt; |.....................|   -0.5283 |   -0.1617 |    0.1081 |    0.9192 |
+#&gt; |.....................|    -1.441 |    0.4906 |   -0.2900 |    0.1161 |
+#&gt; |<span style='font-weight: bold;'>  101</span>|     458.08017 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5885 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08017 |     93.74 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08017</span> |     93.74 |  0.002914 |    0.2727 |    0.8404 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  102</span>|     458.08021 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08021 |     93.74 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08021</span> |     93.74 |  0.002914 |    0.2727 |    0.8404 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  103</span>|     458.08029 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08029 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08029</span> |     93.75 |  0.002914 |    0.2727 |    0.8404 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  104</span>|     458.08032 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08032 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08032</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  105</span>|     458.08033 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08033 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08033</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  106</span>|     458.08032 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08032 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08032</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  107</span>|     458.08032 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08032 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08032</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  108</span>|     458.08032 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08032 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08032</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  109</span>|     458.08032 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08032 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08032</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  110</span>|     458.08032 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08032 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08032</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  111</span>|     458.08032 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08032 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08032</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |<span style='font-weight: bold;'>  112</span>|     458.08032 |    0.9973 |    -1.438 |   -0.9022 |   -0.8693 |
+#&gt; |.....................|   -0.7780 |   -0.5133 |   -0.7416 |   -0.9739 |
+#&gt; |.....................|    -1.026 |   -0.5886 |   -0.6911 |   -0.7055 |
+#&gt; |    U|     458.08032 |     93.75 |    -5.838 |   -0.9810 |   -0.1739 |
+#&gt; |.....................|     2.171 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; |    X|<span style='font-weight: bold;'>     458.08032</span> |     93.75 |  0.002914 |    0.2727 |    0.8403 |
+#&gt; |.....................|     8.768 |     2.338 |     1.275 |    0.6800 |
+#&gt; |.....................|    0.7423 |     1.521 |     1.288 |     1.311 |
+#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: last objective function was not at minimum, possible problems in optimization</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'><span class='va'>f_nlmixr_dfop_sfo_saem_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_obs</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"saem"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'>→ generate SAEM model</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; 1:    93.0952   -5.6337   -1.8988   -4.1294   -1.2035    0.1038    5.2152    1.6150    1.0450    2.6377    0.5035    0.5225   20.0768   11.4566
+#&gt; 2:    93.1464   -5.6948   -1.8729   -4.2029   -1.1302    0.1295    5.5478    1.5342    0.9927    2.5059    0.4783    0.5147   11.2089    8.1577
+#&gt; 3:    93.1719   -5.7029   -1.8810   -4.2024   -1.0686    0.1063    5.2764    1.5217    0.9431    2.3806    0.4544    0.5587    9.3753    5.7166
+#&gt; 4:    92.8647   -5.8139   -1.8979   -4.1992   -1.0168    0.1122    5.4892    1.7893    0.8960    2.2615    0.4317    0.5307    9.4134    4.7166
+#&gt; 5:    92.7759   -5.8627   -1.8873   -4.1402   -1.0347    0.1243    6.2028    2.1819    0.8795    2.1485    0.4101    0.5042    9.5964    4.7340
+#&gt; 6:    92.8080   -5.8954   -1.9186   -4.1772   -0.9727    0.1311    5.8926    2.0728    0.8633    2.0410    0.3896    0.4790    8.7334    4.1957
+#&gt; 7:    92.9042   -5.9034   -1.9603   -4.1854   -0.9717    0.1630    5.5980    2.2068    0.8672    1.9390    0.3701    0.4550    8.7213    3.3409
+#&gt; 8:    92.9302   -5.8545   -1.9240   -4.2343   -0.9748    0.1686    5.3181    2.3934    0.8239    1.9533    0.3516    0.4323    7.6950    2.9174
+#&gt; 9:    92.9518   -5.5561   -1.9734   -4.1856   -0.9322    0.2129    5.0522    2.2738    0.7830    2.0138    0.3340    0.4689    7.9230    2.1930
+#&gt; 10:    93.0672   -5.5564   -1.9633   -4.1456   -0.9343    0.2049    4.7996    2.1601    0.7438    2.0517    0.3173    0.4771    8.0644    2.0682
+#&gt; 11:    92.6849   -5.6187   -1.9773   -4.1793   -0.9342    0.2290    4.5596    2.0521    0.7123    2.0774    0.3015    0.5052    8.2355    1.9349
+#&gt; 12:    92.6425   -5.6989   -2.0144   -4.1395   -0.9342    0.2669    4.3316    2.2634    0.7142    2.3008    0.2864    0.5728    7.5188    1.8028
+#&gt; 13:    92.2996   -5.6700   -1.9885   -4.0443   -0.9202    0.2750    4.5787    2.1608    0.7019    2.7515    0.2721    0.6641    7.0744    1.8958
+#&gt; 14:    92.2457   -5.5825   -2.0314   -3.9788   -0.9142    0.2908    6.3744    2.0527    0.7018    3.2703    0.2585    0.6387    6.9499    1.8421
+#&gt; 15:    92.1741   -5.5333   -2.0318   -3.9664   -0.9059    0.2894    6.0557    1.9501    0.7179    3.2869    0.2455    0.6068    7.0951    1.6824
+#&gt; 16:    92.5772   -5.4982   -2.0352   -3.9471   -0.9063    0.2930    5.7529    1.8526    0.7244    3.6994    0.2333    0.5764    7.2138    1.7042
+#&gt; 17:    92.7024   -5.4902   -2.0438   -4.0347   -0.9079    0.2959    5.4652    1.7600    0.7393    3.5144    0.2216    0.5765    7.0258    1.6793
+#&gt; 18:    92.0240   -5.5539   -2.0520   -3.9601   -0.9079    0.2884    6.5142    1.9232    0.7320    3.9052    0.2157    0.5521    7.2568    1.6151
+#&gt; 19:    92.6532   -5.6325   -2.0456   -3.9091   -0.9179    0.3047    6.5743    2.3363    0.7405    4.5825    0.2049    0.5425    7.6201    1.6565
+#&gt; 20:    92.3488   -5.6617   -2.0554   -3.9501   -0.9216    0.3056    6.7080    2.7562    0.7218    4.7569    0.2083    0.5432    7.3481    1.8059
+#&gt; 21:    92.5679   -5.7469   -2.0614   -4.0829   -0.8890    0.3158    6.6510    3.1993    0.7136    4.5191    0.1978    0.5281    7.3723    1.7461
+#&gt; 22:    92.4785   -5.9527   -2.0657   -4.0580   -0.8971    0.3084    6.3184    4.1791    0.7144    4.2931    0.1929    0.5157    7.1922    1.6984
+#&gt; 23:    92.5594   -5.8590   -2.0723   -4.0580   -0.9020    0.2952    6.0025    3.9702    0.7335    4.0784    0.1833    0.5129    7.7560    1.6302
+#&gt; 24:    92.6152   -5.9488   -2.0658   -4.1187   -0.9050    0.2997    5.7024    4.5381    0.7215    3.8745    0.1875    0.5129    7.6182    1.6362
+#&gt; 25:    92.4658   -5.8715   -2.0791   -4.0949   -0.8922    0.3074    6.1428    4.3112    0.7353    3.6808    0.1896    0.5157    7.2703    1.5633
+#&gt; 26:    92.2507   -5.9797   -2.0707   -4.0834   -0.8868    0.3266    6.4124    4.7125    0.7334    3.5368    0.1851    0.5217    7.3085    1.5828
+#&gt; 27:    92.7055   -5.9792   -2.0779   -4.2066   -0.8887    0.2993    6.0918    4.8624    0.7659    3.7456    0.1841    0.4956    7.3534    1.5240
+#&gt; 28:    92.3971   -6.0253   -2.0648   -4.1406   -0.9042    0.2897    5.7872    4.7690    0.7449    3.5583    0.1823    0.4709    7.2479    1.5008
+#&gt; 29:    92.4045   -5.9045   -2.0730   -4.1407   -0.8969    0.3103    5.6683    4.5306    0.7349    3.3816    0.1849    0.5054    7.1719    1.6004
+#&gt; 30:    92.1714   -5.8598   -2.0645   -4.0913   -0.8964    0.2743    5.3849    4.3040    0.7538    3.3509    0.1757    0.4801    7.3739    1.5736
+#&gt; 31:    91.9134   -5.7867   -2.0367   -4.0563   -0.8957    0.2280    5.1156    4.0888    0.7299    3.3452    0.1749    0.4673    6.5991    1.5909
+#&gt; 32:    92.3743   -5.9967   -2.0255   -4.0668   -0.9025    0.2247    4.8599    4.6666    0.7256    3.3271    0.1714    0.5008    6.4693    1.5458
+#&gt; 33:    92.5239   -5.9301   -2.0387   -4.0365   -0.9033    0.2558    4.6169    4.4333    0.7492    3.6109    0.1688    0.5424    6.7730    1.5771
+#&gt; 34:    92.6892   -6.1135   -2.0587   -4.0280   -0.8993    0.2430    4.3860    6.0227    0.7798    3.5725    0.1672    0.5153    6.8110    1.5417
+#&gt; 35:    92.7276   -6.0815   -2.0629   -4.0833   -0.8943    0.2375    4.6811    5.7216    0.8010    3.3939    0.1715    0.4895    6.6812    1.5478
+#&gt; 36:    92.7316   -6.0691   -2.0882   -4.0626   -0.9030    0.2405    4.4614    5.4355    0.8355    3.2242    0.1789    0.4650    6.8443    1.4806
+#&gt; 37:    92.6685   -5.7905   -2.0666   -4.0663   -0.8998    0.2784    5.1916    5.1637    0.7937    3.0641    0.1823    0.4418    6.5421    1.6284
+#&gt; 38:    93.0325   -5.6829   -2.0674   -4.0772   -0.9167    0.2499    4.9320    4.9055    0.7768    3.1213    0.1887    0.4290    6.8220    1.5224
+#&gt; 39:    93.0378   -5.5554   -2.0743   -4.0772   -0.9189    0.2361    4.6854    4.6603    0.7822    3.1213    0.1813    0.4242    7.1137    1.5021
+#&gt; 40:    93.3297   -5.6270   -2.0591   -4.1200   -0.9167    0.2035    4.4511    4.4272    0.8128    2.9653    0.1829    0.4030    7.3894    1.5064
+#&gt; 41:    93.3408   -5.5437   -2.0344   -4.1042   -0.9078    0.1744    4.2286    4.2059    0.8228    2.8170    0.1881    0.3829    7.2734    1.5519
+#&gt; 42:    93.1691   -5.4436   -2.0551   -4.1048   -0.8984    0.1732    4.0172    3.9956    0.7816    2.6762    0.1853    0.3637    6.9712    1.5332
+#&gt; 43:    93.2443   -5.5247   -2.0722   -4.0980   -0.8992    0.1756    3.8163    3.7958    0.7781    2.7200    0.1956    0.3455    6.7012    1.5344
+#&gt; 44:    92.9509   -5.5020   -2.0495   -4.0961   -0.8964    0.1777    3.6255    3.6060    0.7555    2.8172    0.1994    0.3283    6.2180    1.6137
+#&gt; 45:    92.8898   -5.4913   -2.0462   -4.1079   -0.9003    0.1701    4.1177    3.4257    0.7491    2.8491    0.1989    0.3372    6.2876    1.6205
+#&gt; 46:    92.6044   -5.6429   -2.0499   -4.1079   -0.9069    0.1999    4.2103    3.2544    0.7657    2.8491    0.1921    0.3532    6.2261    1.6435
+#&gt; 47:    92.7740   -5.6128   -2.0804   -4.1186   -0.8976    0.1864    5.2188    3.0917    0.7381    2.9036    0.2030    0.3391    6.6803    1.6177
+#&gt; 48:    92.4691   -5.6645   -2.0600   -4.1288   -0.8796    0.1913    6.2045    2.9371    0.7774    2.9223    0.1966    0.3396    6.7169    1.6215
+#&gt; 49:    92.4128   -5.7079   -2.0802   -4.1166   -0.8798    0.1741    5.8943    3.1446    0.7854    2.8715    0.1935    0.3369    6.9151    1.4834
+#&gt; 50:    91.8883   -5.7713   -2.0932   -4.0899   -0.8886    0.1758    5.5996    3.5478    0.8033    2.8192    0.2014    0.3201    7.0775    1.4635
+#&gt; 51:    92.1187   -5.7306   -2.0903   -4.0878   -0.8923    0.2024    5.3196    3.6534    0.7823    2.7891    0.1969    0.3140    6.9879    1.5430
+#&gt; 52:    92.3209   -5.7897   -2.0903   -4.1622   -0.9072    0.2261    5.3781    3.4707    0.8001    3.0801    0.2063    0.3088    6.7047    1.4499
+#&gt; 53:    92.4318   -5.6954   -2.0950   -4.1866   -0.9082    0.2131    7.1200    3.2972    0.7711    3.3398    0.2034    0.3186    6.6152    1.5123
+#&gt; 54:    92.5380   -5.6975   -2.0782   -4.2394   -0.8976    0.2118    6.7640    3.1323    0.7744    3.5385    0.2175    0.3296    6.4402    1.5403
+#&gt; 55:    92.7213   -5.6663   -2.0427   -4.3288   -0.9028    0.2032    8.1796    2.9757    0.7748    4.4495    0.2142    0.3316    6.4111    1.5369
+#&gt; 56:    92.7219   -5.6865   -2.0557   -4.3434   -0.9084    0.2021    7.7706    2.8269    0.7989    4.6691    0.2174    0.3433    6.4256    1.4639
+#&gt; 57:    92.8932   -5.5736   -2.0497   -4.3955   -0.9216    0.1694    7.3821    2.6856    0.8205    4.9791    0.2142    0.3500    6.5378    1.5406
+#&gt; 58:    92.9219   -5.5789   -2.0547   -4.3094   -0.9183    0.1838    7.0130    2.5513    0.7958    4.7302    0.2193    0.3495    6.2662    1.4940
+#&gt; 59:    93.0432   -5.6201   -2.0395   -4.2527   -0.9199    0.2302    6.6623    2.4237    0.8241    4.4937    0.2241    0.3321    5.8693    1.6176
+#&gt; 60:    92.9724   -5.5971   -2.0537   -4.3509   -0.9219    0.2118    7.5905    2.3026    0.8418    4.4546    0.2177    0.3155    5.5960    1.5040
+#&gt; 61:    93.1235   -5.6332   -2.0671   -4.3572   -0.9219    0.1917    7.2521    2.3037    0.8527    4.5707    0.2230    0.2997    5.8136    1.4516
+#&gt; 62:    93.5431   -5.6373   -2.0371   -4.3384   -0.9276    0.1997    8.5187    2.3895    0.8575    4.4378    0.2258    0.3041    5.5746    1.4572
+#&gt; 63:    93.5009   -5.5634   -2.0224   -4.3560   -0.9339    0.2167    8.0927    2.2700    0.8462    4.4449    0.2266    0.3162    5.4922    1.5233
+#&gt; 64:    93.7369   -5.6032   -2.0362   -4.2323   -0.9355    0.2159    9.6684    2.1949    0.8514    4.2227    0.2300    0.3318    5.7597    1.4866
+#&gt; 65:    93.5021   -5.5769   -2.0311   -4.3204   -0.9375    0.1927    9.5537    2.0852    0.8559    4.6151    0.2208    0.3550    5.6975    1.5031
+#&gt; 66:    93.4211   -5.7184   -2.0384   -4.3041   -0.9228    0.2121    9.0760    2.6390    0.8430    4.3843    0.2098    0.3755    5.8990    1.5133
+#&gt; 67:    93.3435   -5.6579   -2.0456   -4.2222   -0.9183    0.1825    8.6222    2.5071    0.8719    4.1651    0.2152    0.3567    5.9004    1.4874
+#&gt; 68:    93.3914   -5.6554   -2.0420   -4.1618   -0.9303    0.1714    8.1911    2.3817    0.8856    3.9569    0.2272    0.3388    6.1793    1.4917
+#&gt; 69:    93.5112   -5.6834   -2.0349   -4.1591   -0.9331    0.1759    8.9900    2.5191    0.9184    3.7590    0.2236    0.3219    6.1618    1.4697
+#&gt; 70:    93.4289   -5.6576   -2.0273   -4.1763   -0.9399    0.1738    8.5405    2.4302    0.8725    3.5711    0.2149    0.3288    6.5324    1.5410
+#&gt; 71:    93.2936   -5.6699   -2.0256   -4.1405   -0.9370    0.1922    8.1134    2.3831    0.8289    3.3925    0.2080    0.3548    5.9794    1.5904
+#&gt; 72:    92.9152   -5.6742   -2.0382   -4.1523   -0.9411    0.1991    7.7078    2.4322    0.7875    3.2916    0.2007    0.3456    6.0999    1.6022
+#&gt; 73:    92.8129   -5.8099   -2.0372   -4.1735   -0.9377    0.1605    8.2752    2.8931    0.7737    3.4015    0.2057    0.3283    6.0140    1.5472
+#&gt; 74:    92.7806   -5.7269   -2.0315   -4.1877   -0.9399    0.1675    8.4688    2.7484    0.7773    3.4620    0.2174    0.3249    5.8495    1.5779
+#&gt; 75:    92.9128   -5.8680   -2.0304   -4.1459   -0.9387    0.1567    8.0454    3.2365    0.7681    3.2935    0.2198    0.3187    5.8539    1.5815
+#&gt; 76:    92.8931   -5.8483   -2.0253   -4.1815   -0.9387    0.1540    9.6800    3.0747    0.8007    3.5838    0.2198    0.3291    5.9005    1.5053
+#&gt; 77:    92.7474   -5.7995   -2.0202   -4.1904   -0.9333    0.1724   10.0488    2.9210    0.7841    3.7255    0.2148    0.3465    5.9418    1.5569
+#&gt; 78:    92.8150   -5.9608   -2.0025   -4.1583   -0.9511    0.1566    9.5464    3.5249    0.7858    3.6988    0.2246    0.3292    5.7737    1.5904
+#&gt; 79:    92.6663   -6.0485   -2.0245   -4.1437   -0.9446    0.1786    9.0690    4.1252    0.7803    3.6526    0.2155    0.3335    5.9109    1.5521
+#&gt; 80:    92.5932   -6.1001   -2.0304   -4.1969   -0.9409    0.1424    8.6156    4.6478    0.8007    4.0379    0.2114    0.3168    6.1732    1.5544
+#&gt; 81:    92.6789   -6.3510   -2.0062   -4.2272   -0.9541    0.1360    8.3363    5.9861    0.7719    3.8800    0.2202    0.3010    5.6841    1.6317
+#&gt; 82:    92.9996   -6.5680   -2.0048   -4.1609   -0.9578    0.1367   10.6901    7.4391    0.7962    3.6860    0.2092    0.2859    5.7335    1.6391
+#&gt; 83:    93.1087   -6.5298   -1.9757   -4.1694   -0.9596    0.1323   10.5524    7.4660    0.8237    3.8009    0.2134    0.2716    5.9664    1.6316
+#&gt; 84:    93.1929   -6.5844   -2.0191   -4.2021   -0.9616    0.1384   10.0248    7.7313    0.8230    3.6109    0.2110    0.2580    5.7854    1.5609
+#&gt; 85:    92.9161   -6.4934   -2.0281   -4.2008   -0.9600    0.1107    9.5236    7.4269    0.8448    3.5630    0.2110    0.2451    5.6111    1.5333
+#&gt; 86:    92.9816   -6.5397   -2.0234   -4.1830   -0.9694    0.1111    9.1945    7.4382    0.8481    3.3849    0.2166    0.2329    5.8375    1.5263
+#&gt; 87:    93.0930   -6.5749   -2.0168   -4.1986   -0.9816    0.0926    8.7348    8.4431    0.8646    3.3032    0.2155    0.2212    5.7542    1.5736
+#&gt; 88:    93.0765   -6.4914   -2.0274   -4.2274   -0.9870    0.1148    8.4666    8.0209    0.8666    3.5292    0.2048    0.2102    5.8988    1.5329
+#&gt; 89:    92.8699   -6.6431   -2.0199   -4.2175   -0.9463    0.1011    8.4648    7.7973    0.8908    3.3980    0.1945    0.2102    5.6876    1.5177
+#&gt; 90:    92.8225   -6.6932   -2.0211   -4.2175   -0.9505    0.0887   10.1862    8.7787    0.8730    3.3980    0.1877    0.1997    5.9135    1.4821
+#&gt; 91:    92.7874   -6.7007   -2.0420   -4.2936   -0.9468    0.0927   11.2275    8.3397    0.8600    3.9490    0.1885    0.2147    6.1108    1.4315
+#&gt; 92:    93.2320   -6.8088   -2.0341   -4.2817   -0.9582    0.1270   12.4029    9.6204    0.8503    3.7516    0.1950    0.2070    5.9434    1.5251
+#&gt; 93:    93.8996   -6.5471   -2.0440   -4.2123   -0.9543    0.1140   11.7828    9.1394    0.8493    3.5640    0.1988    0.2017    6.1302    1.5568
+#&gt; 94:    93.4416   -6.4623   -2.0448   -4.2188   -0.9595    0.1174   12.1277    8.6824    0.8568    3.3858    0.1975    0.1938    5.9173    1.5204
+#&gt; 95:    93.2953   -6.1521   -2.0477   -4.2216   -0.9551    0.1152   11.5213    8.2483    0.8356    3.2165    0.1979    0.1855    5.8298    1.5357
+#&gt; 96:    92.9577   -6.0477   -2.0579   -4.2534   -0.9465    0.1284   10.9452    7.8359    0.8202    3.3357    0.1937    0.1917    5.8590    1.5738
+#&gt; 97:    92.8703   -6.1037   -2.0745   -4.1960   -0.9405    0.1417   10.4858    7.4441    0.8488    3.1690    0.1969    0.2016    5.7948    1.4759
+#&gt; 98:    92.9728   -6.3534   -2.0868   -4.2155   -0.9444    0.1069    9.9615    7.1788    0.8736    3.1913    0.1998    0.2114    5.6533    1.4322
+#&gt; 99:    93.4116   -6.1712   -2.0837   -4.2280   -0.9473    0.1197    9.4634    6.8198    0.8959    3.1806    0.1899    0.2167    5.9149    1.3768
+#&gt; 100:    93.2598   -6.1345   -2.0645   -4.2237   -0.9575    0.1099    8.9903    6.4788    0.9204    3.2429    0.1903    0.2058    5.7085    1.4133
+#&gt; 101:    93.3082   -6.1574   -2.0474   -4.2315   -0.9619    0.1161    9.0819    6.1549    0.8744    3.2049    0.1891    0.2278    5.6493    1.4894
+#&gt; 102:    93.5741   -6.2923   -2.0484   -4.2853   -0.9665    0.1325   10.4108    5.8522    0.8804    3.5370    0.2024    0.2324    5.6995    1.4594
+#&gt; 103:    92.9199   -6.1797   -2.0522   -4.2940   -0.9568    0.1289    9.8903    5.5596    0.8722    3.6682    0.1975    0.2398    5.5536    1.4510
+#&gt; 104:    93.1139   -6.1630   -2.0546   -4.2912   -0.9613    0.1115    9.3958    5.2816    0.8648    3.6673    0.2010    0.2278    5.5768    1.4812
+#&gt; 105:    93.4085   -6.0359   -2.0450   -4.2889   -0.9591    0.1258    8.9260    5.0175    0.8412    3.7286    0.1917    0.2171    5.6780    1.5203
+#&gt; 106:    93.3103   -6.1029   -2.0425   -4.2948   -0.9579    0.0934    8.4797    4.7667    0.8539    3.6947    0.1947    0.2234    5.7210    1.4760
+#&gt; 107:    93.6389   -5.9750   -2.0309   -4.2630   -0.9660    0.1110    8.0557    4.5283    0.8470    3.5100    0.2044    0.2299    5.6280    1.5525
+#&gt; 108:    93.8641   -5.8551   -2.0360   -4.2311   -0.9629    0.0900    7.6529    4.3019    0.8567    3.3345    0.2014    0.2302    5.7841    1.5978
+#&gt; 109:    93.6274   -6.0268   -2.0445   -4.3047   -0.9488    0.0979    7.2703    4.7807    0.8565    3.7665    0.1929    0.2271    5.7941    1.5580
+#&gt; 110:    93.6320   -5.8321   -2.0413   -4.2855   -0.9477    0.1143    6.9068    4.5417    0.8412    3.6165    0.1901    0.2199    5.8169    1.5477
+#&gt; 111:    93.6245   -5.8256   -2.0157   -4.2797   -0.9612    0.0940    6.5774    4.3146    0.8460    3.5782    0.1837    0.2182    5.6157    1.6424
+#&gt; 112:    93.8512   -5.9045   -2.0116   -4.2409   -0.9708    0.0883    6.2486    4.0989    0.8658    3.5059    0.1761    0.2073    5.8852    1.6073
+#&gt; 113:    93.7080   -5.9935   -2.0306   -4.1884   -0.9690    0.0740    5.9361    4.0088    0.9072    3.3400    0.1957    0.2169    6.3792    1.4770
+#&gt; 114:    93.8574   -5.9185   -2.0233   -4.2030   -0.9588    0.1137    5.6393    3.8084    0.9322    3.2878    0.1939    0.2098    5.8891    1.5325
+#&gt; 115:    93.7414   -5.8789   -2.0183   -4.2256   -0.9701    0.1105    5.6148    3.6180    0.9222    3.5507    0.1921    0.1993    5.6441    1.5458
+#&gt; 116:    93.4104   -5.9704   -2.0428   -4.2091   -0.9807    0.1099    5.3341    4.1157    0.9363    3.4004    0.1968    0.2134    5.7764    1.4617
+#&gt; 117:    93.5239   -5.9057   -2.0518   -4.2494   -0.9812    0.1127    6.8839    3.9099    0.9151    3.6604    0.1921    0.2095    5.4753    1.4249
+#&gt; 118:    93.7599   -5.9418   -2.0482   -4.2272   -0.9822    0.1094    6.8133    3.7144    0.9198    3.5160    0.1971    0.2039    5.6467    1.4116
+#&gt; 119:    93.6617   -6.0020   -2.0483   -4.2146   -0.9816    0.1003    6.4727    3.8251    0.9103    3.4716    0.1950    0.2109    5.8513    1.4268
+#&gt; 120:    93.5436   -5.9804   -2.0458   -4.1906   -0.9819    0.1065    6.1490    3.6756    0.9088    3.2980    0.1989    0.2123    5.8268    1.4689
+#&gt; 121:    93.4880   -5.9047   -2.0452   -4.1957   -0.9640    0.1349    5.8416    3.4918    0.8824    3.2437    0.1889    0.2017    5.7152    1.4382
+#&gt; 122:    93.7406   -5.9844   -2.0596   -4.2328   -0.9558    0.1563    5.5495    3.7606    0.8489    3.3043    0.1795    0.2015    5.5095    1.5112
+#&gt; 123:    93.6728   -6.0394   -2.0372   -4.2812   -0.9592    0.1507    5.2720    4.2004    0.8341    3.5274    0.1817    0.2008    5.6936    1.6011
+#&gt; 124:    93.9591   -6.0483   -2.0280   -4.2613   -0.9594    0.1463    5.3846    4.1913    0.8351    3.4341    0.1870    0.2193    5.5694    1.5684
+#&gt; 125:    94.0201   -5.9102   -2.0507   -4.2686   -0.9697    0.1455    5.1154    3.9818    0.8512    3.3475    0.1859    0.2165    5.6224    1.5643
+#&gt; 126:    93.8825   -5.8970   -2.0543   -4.2569   -0.9663    0.1493    4.9144    3.7827    0.8907    3.3030    0.1876    0.2180    5.7351    1.4722
+#&gt; 127:    93.9893   -5.8955   -2.0624   -4.2430   -0.9802    0.1476    7.2413    3.5935    0.8915    3.2740    0.1851    0.2110    5.7614    1.4305
+#&gt; 128:    94.1849   -5.9123   -2.0624   -4.2385   -0.9786    0.1523    7.9575    3.4139    0.9094    3.2656    0.1807    0.2198    5.7366    1.4264
+#&gt; 129:    94.0812   -6.0044   -2.0696   -4.3056   -0.9770    0.1693    8.7809    3.7526    0.9111    3.6172    0.1859    0.2255    5.8064    1.4718
+#&gt; 130:    93.6046   -6.1387   -2.0718   -4.3056   -0.9821    0.1477    8.3419    4.3029    0.9177    3.6172    0.1867    0.2143    5.8893    1.4447
+#&gt; 131:    93.5216   -6.1347   -2.0740   -4.3114   -0.9766    0.1288    8.2937    4.3407    0.9250    3.5298    0.1881    0.2293    5.8054    1.4219
+#&gt; 132:    93.6142   -6.2789   -2.0786   -4.3297   -0.9716    0.1288    8.3731    5.1225    0.9236    3.6683    0.1929    0.2295    5.8064    1.4194
+#&gt; 133:    93.4410   -5.9177   -2.0916   -4.3557   -0.9798    0.1066    7.9544    4.8663    0.9537    3.7076    0.1937    0.2279    5.9844    1.4297
+#&gt; 134:    93.4716   -5.9152   -2.0838   -4.3611   -0.9818    0.1332    7.5567    4.6230    0.9161    3.7833    0.2017    0.2308    6.0611    1.5717
+#&gt; 135:    93.3787   -6.0381   -2.0728   -4.2627   -0.9719    0.1051    7.2396    4.3919    0.8970    3.5941    0.1916    0.2193    5.8837    1.6057
+#&gt; 136:    93.4339   -5.9876   -2.0801   -4.3002   -0.9690    0.1214    6.8776    4.1723    0.8888    3.4144    0.2002    0.2227    6.0141    1.5231
+#&gt; 137:    93.7639   -6.0411   -2.0803   -4.2799   -0.9646    0.1484    6.5337    3.9765    0.8969    3.2437    0.1995    0.2115    5.9404    1.6402
+#&gt; 138:    93.6414   -6.0122   -2.0714   -4.2666   -0.9755    0.1506    7.4057    3.7962    0.9242    3.1524    0.1934    0.2010    6.0666    1.5001
+#&gt; 139:    93.7743   -5.7966   -2.0613   -4.2289   -0.9722    0.1383    7.9358    3.6064    0.9015    2.9948    0.1946    0.2029    5.9655    1.5250
+#&gt; 140:    93.1082   -5.7994   -2.0388   -4.2289   -0.9659    0.1382    8.0282    3.4261    0.9053    2.9079    0.1909    0.2138    5.9183    1.5191
+#&gt; 141:    93.2122   -6.0181   -2.0396   -4.2398   -0.9587    0.1016    8.9769    3.9426    0.9028    2.9136    0.1941    0.2195    6.1560    1.4902
+#&gt; 142:    93.4684   -6.1438   -2.0273   -4.2541   -0.9508    0.0848    8.5281    4.8727    0.9056    2.9875    0.1901    0.2233    6.2546    1.4695
+#&gt; 143:    93.0059   -6.0964   -2.0145   -4.2760   -0.9563    0.0826    8.1017    4.6291    0.9312    3.1063    0.1850    0.2138    6.5768    1.4391
+#&gt; 144:    93.0612   -6.1127   -1.9951   -4.2589   -0.9539    0.0904    7.6966    4.6160    0.9623    3.1681    0.1824    0.2032    6.1506    1.4497
+#&gt; 145:    93.5170   -6.1066   -1.9951   -4.3574   -0.9478    0.1040    7.3118    4.6263    0.9639    3.6914    0.1986    0.2292    5.9389    1.4867
+#&gt; 146:    93.4915   -6.3235   -2.0006   -4.3866   -0.9579    0.1202    6.9462    6.0529    0.9514    3.9899    0.1887    0.2335    5.9265    1.4978
+#&gt; 147:    93.8963   -6.1119   -2.0055   -4.3446   -0.9682    0.1242    7.1711    5.7503    0.9315    3.7904    0.1923    0.2332    5.9346    1.5021
+#&gt; 148:    93.6758   -5.9705   -2.0137   -4.2906   -0.9614    0.1125    6.8125    5.4628    0.9506    3.6009    0.1913    0.2371    6.2579    1.4384
+#&gt; 149:    93.6499   -6.0049   -2.0246   -4.2730   -0.9776    0.0996    6.4719    5.1896    0.9736    3.4209    0.1817    0.2252    6.3224    1.3878
+#&gt; 150:    94.0242   -5.9760   -2.0176   -4.2182   -0.9773    0.1032    6.1483    4.9301    0.9944    3.2498    0.1807    0.2290    6.5662    1.3618
+#&gt; 151:    93.9234   -5.8772   -2.0132   -4.2362   -0.9651    0.1058    7.2453    4.6836    0.9824    3.4860    0.1806    0.2175    6.2575    1.4370
+#&gt; 152:    94.2513   -5.9391   -2.0814   -4.2278   -0.9753    0.1221    4.9753    3.4013    0.9808    3.3265    0.1836    0.1897    6.6966    1.3457
+#&gt; 153:    93.9434   -6.1294   -2.0570   -4.2447   -0.9761    0.1527    5.0454    4.3115    0.9494    3.3663    0.1684    0.1680    5.9106    1.4777
+#&gt; 154:    93.8141   -6.2749   -2.0366   -4.2383   -0.9835    0.1440    5.5466    5.3351    0.9320    3.3337    0.1731    0.1913    5.8842    1.4325
+#&gt; 155:    94.1987   -6.1029   -2.0252   -4.2520   -0.9780    0.1132    7.1508    4.2713    0.9457    3.3428    0.1727    0.1691    6.1632    1.4658
+#&gt; 156:    94.0626   -6.2640   -2.0263   -4.2461   -0.9854    0.1346    5.6296    5.1645    0.9423    3.3987    0.1697    0.1778    5.9631    1.4483
+#&gt; 157:    93.9319   -6.1392   -2.0388   -4.2294   -0.9921    0.1265    5.6768    4.7366    0.9210    3.3673    0.1733    0.1789    5.9114    1.4976
+#&gt; 158:    93.9123   -6.1970   -2.0165   -4.2241   -0.9924    0.1540    7.2552    4.7537    0.9369    3.2727    0.1805    0.1923    5.9324    1.5351
+#&gt; 159:    93.9704   -6.4018   -2.0455   -4.2127   -0.9919    0.1413    7.7561    6.0732    0.9802    3.3376    0.1806    0.2260    6.4511    1.4227
+#&gt; 160:    94.1967   -6.2985   -2.0412   -4.2264   -0.9795    0.1206    8.3836    6.1319    0.9689    3.4685    0.1792    0.2150    6.5116    1.4706
+#&gt; 161:    94.3500   -6.1427   -2.0189   -4.2242   -1.0022    0.0837    8.0282    4.5505    0.9524    3.3269    0.1859    0.1816    6.0642    1.4746
+#&gt; 162:    94.2711   -5.9578   -2.0215   -4.2078   -1.0110    0.0946    7.8634    3.3072    0.9559    3.2374    0.1876    0.1791    6.0798    1.4903
+#&gt; 163:    93.9824   -5.8794   -2.0409   -4.2367   -0.9970    0.1150    9.3872    3.0498    0.9830    3.3179    0.1880    0.1828    5.8091    1.4852
+#&gt; 164:    94.2013   -5.8651   -2.0122   -4.2257   -0.9906    0.1267    7.1953    3.0510    0.9697    3.2713    0.1871    0.1832    5.8741    1.5313
+#&gt; 165:    94.1804   -5.7868   -2.0200   -4.2053   -0.9812    0.1219    6.7375    2.4769    0.9688    3.2706    0.1910    0.1859    5.7890    1.5188
+#&gt; 166:    93.9790   -5.8156   -2.0311   -4.2438   -0.9784    0.1247    5.7617    2.6907    0.9533    3.5342    0.1953    0.1872    5.8816    1.5243
+#&gt; 167:    93.2524   -5.8603   -2.0497   -4.2594   -0.9787    0.1265    4.7086    2.9121    0.9117    3.4696    0.1943    0.1832    5.9672    1.4567
+#&gt; 168:    93.2924   -6.0371   -2.0528   -4.2607   -0.9727    0.1201    5.5273    4.0286    0.9177    3.4501    0.1918    0.1908    5.7790    1.4701
+#&gt; 169:    93.4838   -6.1497   -2.0389   -4.2716   -0.9639    0.1127    5.4524    4.2700    0.9544    3.4329    0.1940    0.1871    5.7795    1.4575
+#&gt; 170:    93.3951   -6.2298   -2.0438   -4.4133   -0.9939    0.1088    6.1460    4.6552    0.9645    4.5240    0.1978    0.2091    5.7549    1.5233
+#&gt; 171:    93.4113   -6.1187   -2.0536   -4.4019   -0.9771    0.0899    6.8123    4.0073    0.9531    4.4290    0.1878    0.1970    5.9067    1.4857
+#&gt; 172:    93.1140   -5.9515   -2.0530   -4.3250   -0.9723    0.1094    5.1247    3.4502    0.9572    3.8504    0.1954    0.1944    5.8583    1.4867
+#&gt; 173:    92.9782   -6.0415   -2.0633   -4.2887   -0.9608    0.1081    4.1020    3.8967    0.9478    3.7222    0.1890    0.1812    5.9473    1.4583
+#&gt; 174:    92.9661   -5.9295   -2.0457   -4.2907   -0.9626    0.0991    5.7954    3.3581    0.9785    3.7311    0.1867    0.2026    5.8087    1.4797
+#&gt; 175:    93.2577   -5.8895   -2.0281   -4.2845   -0.9560    0.0829    7.3434    3.1501    0.9975    3.6334    0.1920    0.2151    5.4717    1.4832
+#&gt; 176:    93.1210   -5.9567   -2.0370   -4.2848   -0.9488    0.0787    6.8946    3.4999    0.9983    3.6159    0.1922    0.2233    5.8426    1.4096
+#&gt; 177:    92.5456   -6.1797   -2.0319   -4.2684   -0.9401    0.0873    6.9744    5.2939    0.9928    3.4880    0.1989    0.2213    5.9613    1.4367
+#&gt; 178:    92.6854   -6.1483   -2.0278   -4.2705   -0.9504    0.0630    5.0582    5.0622    0.9953    3.4915    0.1930    0.2238    5.9775    1.4263
+#&gt; 179:    93.1323   -6.1739   -2.0353   -4.2590   -0.9455    0.0584    4.9914    4.7898    0.9817    3.4163    0.1899    0.2124    5.9579    1.4242
+#&gt; 180:    93.0611   -6.2228   -2.0441   -4.2977   -0.9387    0.0320    4.0323    5.5685    0.9890    3.7202    0.1940    0.2335    6.2224    1.4194
+#&gt; 181:    92.7741   -6.1462   -2.0477   -4.3335   -0.9454    0.1011    3.7007    5.1590    0.9807    3.8469    0.1939    0.2463    5.9703    1.4343
+#&gt; 182:    93.0775   -6.0640   -2.0496   -4.3171   -0.9444    0.0897    5.0266    4.5597    0.9792    3.7741    0.1931    0.2186    5.6727    1.4858
+#&gt; 183:    93.2566   -6.1757   -2.0368   -4.2888   -0.9560    0.0809    5.8284    5.2504    0.9636    3.7078    0.1939    0.2262    5.5170    1.4560
+#&gt; 184:    93.0357   -6.1158   -2.0217   -4.3111   -0.9453    0.0901    6.7209    5.4048    0.9503    3.8949    0.1967    0.2209    5.3578    1.4704
+#&gt; 185:    93.0173   -6.1998   -2.0371   -4.3713   -0.9451    0.0752    6.1040    5.8272    0.9333    4.4038    0.1951    0.2238    5.5896    1.4202
+#&gt; 186:    93.2835   -6.1217   -2.0383   -4.3308   -0.9574    0.1110    6.0519    4.7669    0.9400    4.0265    0.1972    0.2274    5.4560    1.4602
+#&gt; 187:    93.5312   -6.3356   -2.0253   -4.3418   -0.9583    0.1166    6.7561    5.8784    0.9346    4.0264    0.2038    0.2281    5.5024    1.4994
+#&gt; 188:    93.6460   -5.8426   -2.0237   -4.4519   -0.9594    0.1283    6.3492    3.4189    0.9091    4.9358    0.2086    0.2348    5.4301    1.5893
+#&gt; 189:    93.8538   -6.0183   -2.0178   -4.3911   -0.9797    0.1262    8.7939    3.7358    0.9008    4.4894    0.2125    0.2199    5.6613    1.5073
+#&gt; 190:    93.1543   -6.1364   -2.0451   -4.4389   -0.9708    0.1584    9.9803    4.2747    0.8922    4.8507    0.2084    0.2607    5.9136    1.4572
+#&gt; 191:    93.4334   -6.1466   -2.0389   -4.4661   -0.9678    0.1565    7.8390    4.4393    0.9022    4.7857    0.2105    0.2634    5.7161    1.5325
+#&gt; 192:    93.3623   -6.0940   -2.0240   -4.4569   -0.9673    0.1420    8.0856    4.3185    0.8895    4.4721    0.2113    0.2350    5.5282    1.5221
+#&gt; 193:    93.1990   -5.9864   -2.0301   -4.4538   -0.9563    0.1515    8.4425    3.7598    0.8814    4.4376    0.2013    0.2257    5.4205    1.4820
+#&gt; 194:    93.3165   -6.0045   -2.0353   -4.4314   -0.9525    0.1486    8.2370    3.6742    0.8947    4.4594    0.1960    0.2248    5.4579    1.4767
+#&gt; 195:    93.1288   -6.1006   -2.0551   -4.5184   -0.9503    0.1583    9.6259    4.2294    0.9040    5.1981    0.1950    0.1962    5.5602    1.4254
+#&gt; 196:    93.1943   -5.9871   -2.0607   -4.4728   -0.9446    0.1482    9.3401    3.5579    0.8925    4.7901    0.1892    0.1879    5.7296    1.4172
+#&gt; 197:    93.5803   -5.9131   -2.0522   -4.3675   -0.9476    0.1571    7.2599    3.4241    0.8857    3.8551    0.1886    0.1793    5.4832    1.6006
+#&gt; 198:    93.5703   -5.9980   -2.0550   -4.3578   -0.9519    0.1491    7.0416    3.8805    0.8563    3.7930    0.1882    0.1896    5.4355    1.5402
+#&gt; 199:    93.2909   -5.8288   -2.0532   -4.3605   -0.9518    0.1692    8.3926    3.0173    0.8566    3.8610    0.1902    0.2033    5.5735    1.5647
+#&gt; 200:    93.4049   -5.7474   -2.0447   -4.3548   -0.9517    0.1812    7.4977    2.8256    0.8520    3.8236    0.1897    0.2060    5.5092    1.5699
+#&gt; 201:    93.3386   -5.8209   -2.0398   -4.4174   -0.9597    0.1738    6.3555    3.0871    0.8431    4.3211    0.1853    0.2062    5.5460    1.5925
+#&gt; 202:    93.3397   -5.8313   -2.0387   -4.4364   -0.9580    0.1669    6.0946    3.1018    0.8460    4.5093    0.1821    0.2068    5.6622    1.5740
+#&gt; 203:    93.3071   -5.8276   -2.0384   -4.4758   -0.9571    0.1639    5.7815    3.0575    0.8608    4.9441    0.1826    0.2052    5.6855    1.5570
+#&gt; 204:    93.3138   -5.8477   -2.0368   -4.4714   -0.9541    0.1658    5.7526    3.1322    0.8704    4.9129    0.1816    0.2057    5.6642    1.5606
+#&gt; 205:    93.3066   -5.8537   -2.0395   -4.4842   -0.9521    0.1642    5.6045    3.1633    0.8748    5.0053    0.1805    0.2036    5.6633    1.5550
+#&gt; 206:    93.3042   -5.8790   -2.0453   -4.4977   -0.9501    0.1633    5.7219    3.3320    0.8807    5.1121    0.1793    0.1999    5.6888    1.5413
+#&gt; 207:    93.3281   -5.9005   -2.0504   -4.5109   -0.9480    0.1629    5.8004    3.4696    0.8865    5.2248    0.1789    0.1961    5.7206    1.5357
+#&gt; 208:    93.3437   -5.8972   -2.0569   -4.5200   -0.9452    0.1641    5.7523    3.4604    0.8875    5.2848    0.1787    0.1933    5.7450    1.5288
+#&gt; 209:    93.3265   -5.8864   -2.0628   -4.5092   -0.9440    0.1639    5.5355    3.4138    0.8882    5.1586    0.1791    0.1916    5.7744    1.5283
+#&gt; 210:    93.3087   -5.8812   -2.0671   -4.5004   -0.9426    0.1677    5.3488    3.3975    0.8895    5.0589    0.1798    0.1924    5.7781    1.5307
+#&gt; 211:    93.2807   -5.8760   -2.0703   -4.5009   -0.9413    0.1709    5.2654    3.3770    0.8894    5.0377    0.1805    0.1927    5.7808    1.5282
+#&gt; 212:    93.2815   -5.8637   -2.0711   -4.4955   -0.9409    0.1708    5.3028    3.3250    0.8914    4.9702    0.1819    0.1941    5.7827    1.5274
+#&gt; 213:    93.2828   -5.8481   -2.0709   -4.4895   -0.9396    0.1702    5.3840    3.2614    0.8913    4.9108    0.1826    0.1953    5.7744    1.5301
+#&gt; 214:    93.2645   -5.8422   -2.0704   -4.4882   -0.9384    0.1710    5.3939    3.2358    0.8931    4.8944    0.1828    0.1955    5.7797    1.5351
+#&gt; 215:    93.2591   -5.8519   -2.0709   -4.4858   -0.9380    0.1713    5.5142    3.2959    0.8953    4.8587    0.1822    0.1960    5.7853    1.5369
+#&gt; 216:    93.2595   -5.8523   -2.0715   -4.4827   -0.9376    0.1723    5.5563    3.3077    0.8964    4.8306    0.1817    0.1973    5.7975    1.5396
+#&gt; 217:    93.2503   -5.8512   -2.0732   -4.4737   -0.9373    0.1734    5.5036    3.3182    0.8959    4.7582    0.1817    0.1992    5.7940    1.5365
+#&gt; 218:    93.2345   -5.8463   -2.0749   -4.4639   -0.9372    0.1747    5.5046    3.2959    0.8959    4.6771    0.1817    0.2008    5.7889    1.5340
+#&gt; 219:    93.2264   -5.8439   -2.0757   -4.4549   -0.9364    0.1759    5.4970    3.2802    0.8966    4.6015    0.1819    0.2027    5.7804    1.5321
+#&gt; 220:    93.2259   -5.8464   -2.0758   -4.4493   -0.9363    0.1771    5.4793    3.2944    0.8950    4.5498    0.1823    0.2049    5.7745    1.5344
+#&gt; 221:    93.2243   -5.8505   -2.0768   -4.4443   -0.9367    0.1785    5.5360    3.3132    0.8924    4.5028    0.1829    0.2068    5.7556    1.5329
+#&gt; 222:    93.2385   -5.8603   -2.0776   -4.4371   -0.9376    0.1800    5.5401    3.3878    0.8903    4.4416    0.1834    0.2096    5.7522    1.5317
+#&gt; 223:    93.2339   -5.8634   -2.0780   -4.4309   -0.9377    0.1803    5.5522    3.4132    0.8882    4.3844    0.1838    0.2118    5.7457    1.5323
+#&gt; 224:    93.2379   -5.8686   -2.0778   -4.4262   -0.9374    0.1803    5.5469    3.4421    0.8848    4.3375    0.1842    0.2137    5.7429    1.5323
+#&gt; 225:    93.2329   -5.8654   -2.0784   -4.4222   -0.9373    0.1811    5.5553    3.4255    0.8843    4.2952    0.1848    0.2160    5.7452    1.5295
+#&gt; 226:    93.2330   -5.8621   -2.0789   -4.4182   -0.9366    0.1816    5.5838    3.4123    0.8838    4.2565    0.1858    0.2176    5.7453    1.5284
+#&gt; 227:    93.2309   -5.8549   -2.0794   -4.4153   -0.9365    0.1823    5.6720    3.3787    0.8827    4.2227    0.1866    0.2181    5.7339    1.5287
+#&gt; 228:    93.2248   -5.8556   -2.0794   -4.4116   -0.9372    0.1832    5.7344    3.3780    0.8830    4.1863    0.1873    0.2200    5.7232    1.5308
+#&gt; 229:    93.2215   -5.8615   -2.0798   -4.4081   -0.9373    0.1844    5.8478    3.4087    0.8821    4.1558    0.1878    0.2217    5.7174    1.5283
+#&gt; 230:    93.2122   -5.8646   -2.0807   -4.4053   -0.9372    0.1858    5.8987    3.4233    0.8800    4.1288    0.1881    0.2233    5.7073    1.5272
+#&gt; 231:    93.2080   -5.8665   -2.0816   -4.4025   -0.9372    0.1872    5.9544    3.4381    0.8782    4.1008    0.1883    0.2250    5.7006    1.5283
+#&gt; 232:    93.1921   -5.8677   -2.0829   -4.3997   -0.9370    0.1887    5.9768    3.4440    0.8770    4.0748    0.1883    0.2268    5.7012    1.5261
+#&gt; 233:    93.1794   -5.8674   -2.0840   -4.3972   -0.9363    0.1892    6.0074    3.4397    0.8757    4.0495    0.1884    0.2281    5.6997    1.5235
+#&gt; 234:    93.1623   -5.8677   -2.0853   -4.3959   -0.9358    0.1898    5.9759    3.4442    0.8750    4.0330    0.1887    0.2295    5.7000    1.5223
+#&gt; 235:    93.1499   -5.8709   -2.0862   -4.3918   -0.9356    0.1900    5.9951    3.4709    0.8747    4.0020    0.1891    0.2309    5.7002    1.5219
+#&gt; 236:    93.1408   -5.8764   -2.0875   -4.3879   -0.9349    0.1898    6.0359    3.5027    0.8752    3.9720    0.1895    0.2321    5.7098    1.5196
+#&gt; 237:    93.1307   -5.8766   -2.0887   -4.3843   -0.9344    0.1896    6.0589    3.5108    0.8755    3.9437    0.1900    0.2330    5.7176    1.5174
+#&gt; 238:    93.1233   -5.8767   -2.0889   -4.3806   -0.9341    0.1891    6.0959    3.5158    0.8745    3.9173    0.1907    0.2339    5.7198    1.5169
+#&gt; 239:    93.1245   -5.8810   -2.0889   -4.3775   -0.9337    0.1885    6.1196    3.5614    0.8746    3.8935    0.1915    0.2349    5.7177    1.5172
+#&gt; 240:    93.1180   -5.8836   -2.0893   -4.3745   -0.9332    0.1883    6.1647    3.6004    0.8741    3.8709    0.1921    0.2360    5.7150    1.5192
+#&gt; 241:    93.1096   -5.8838   -2.0898   -4.3714   -0.9327    0.1883    6.2283    3.6196    0.8743    3.8487    0.1927    0.2366    5.7177    1.5202
+#&gt; 242:    93.1058   -5.8804   -2.0912   -4.3684   -0.9320    0.1888    6.2553    3.6018    0.8723    3.8274    0.1933    0.2378    5.7265    1.5198
+#&gt; 243:    93.0953   -5.8762   -2.0924   -4.3668   -0.9315    0.1892    6.2692    3.5785    0.8705    3.8130    0.1940    0.2391    5.7353    1.5205
+#&gt; 244:    93.0840   -5.8758   -2.0928   -4.3658   -0.9310    0.1889    6.2702    3.5746    0.8695    3.8007    0.1947    0.2401    5.7382    1.5205
+#&gt; 245:    93.0720   -5.8795   -2.0933   -4.3647   -0.9306    0.1895    6.3022    3.5971    0.8685    3.7886    0.1953    0.2407    5.7367    1.5192
+#&gt; 246:    93.0626   -5.8798   -2.0933   -4.3637   -0.9301    0.1898    6.2987    3.5992    0.8680    3.7781    0.1957    0.2410    5.7331    1.5184
+#&gt; 247:    93.0526   -5.8805   -2.0934   -4.3610   -0.9298    0.1903    6.3067    3.6060    0.8682    3.7618    0.1963    0.2414    5.7329    1.5189
+#&gt; 248:    93.0481   -5.8780   -2.0933   -4.3583   -0.9296    0.1911    6.3135    3.6007    0.8683    3.7460    0.1967    0.2420    5.7344    1.5191
+#&gt; 249:    93.0483   -5.8762   -2.0933   -4.3558   -0.9294    0.1913    6.3095    3.5961    0.8685    3.7298    0.1970    0.2422    5.7414    1.5179
+#&gt; 250:    93.0520   -5.8768   -2.0931   -4.3538   -0.9292    0.1912    6.2900    3.6003    0.8692    3.7176    0.1973    0.2424    5.7547    1.5148
+#&gt; 251:    93.0430   -5.8769   -2.0930   -4.3516   -0.9291    0.1905    6.2815    3.6041    0.8704    3.7045    0.1975    0.2427    5.7653    1.5123
+#&gt; 252:    93.0300   -5.8743   -2.0928   -4.3490   -0.9291    0.1901    6.2896    3.5885    0.8716    3.6919    0.1978    0.2428    5.7797    1.5106
+#&gt; 253:    93.0217   -5.8740   -2.0926   -4.3468   -0.9289    0.1898    6.3238    3.5875    0.8731    3.6817    0.1981    0.2429    5.7885    1.5102
+#&gt; 254:    93.0147   -5.8729   -2.0924   -4.3439   -0.9289    0.1892    6.3418    3.5857    0.8732    3.6683    0.1980    0.2426    5.7912    1.5102
+#&gt; 255:    93.0144   -5.8743   -2.0922   -4.3407   -0.9290    0.1885    6.3755    3.5933    0.8735    3.6580    0.1979    0.2420    5.7932    1.5086
+#&gt; 256:    93.0136   -5.8778   -2.0919   -4.3376   -0.9290    0.1876    6.3932    3.6240    0.8741    3.6481    0.1980    0.2418    5.7969    1.5066
+#&gt; 257:    93.0116   -5.8792   -2.0917   -4.3345   -0.9291    0.1862    6.4096    3.6459    0.8744    3.6385    0.1980    0.2414    5.7990    1.5065
+#&gt; 258:    93.0084   -5.8812   -2.0913   -4.3319   -0.9290    0.1842    6.4231    3.6686    0.8753    3.6281    0.1980    0.2414    5.8024    1.5050
+#&gt; 259:    93.0090   -5.8866   -2.0909   -4.3293   -0.9287    0.1825    6.4361    3.7063    0.8762    3.6181    0.1981    0.2413    5.8106    1.5030
+#&gt; 260:    93.0067   -5.8911   -2.0902   -4.3265   -0.9283    0.1811    6.4128    3.7384    0.8765    3.6076    0.1981    0.2412    5.8102    1.5026
+#&gt; 261:    93.0060   -5.8933   -2.0894   -4.3237   -0.9284    0.1799    6.4253    3.7604    0.8765    3.5968    0.1981    0.2410    5.8080    1.5026
+#&gt; 262:    93.0051   -5.8934   -2.0884   -4.3208   -0.9285    0.1789    6.4008    3.7597    0.8762    3.5855    0.1981    0.2412    5.8046    1.5020
+#&gt; 263:    93.0019   -5.8945   -2.0875   -4.3182   -0.9287    0.1781    6.3788    3.7644    0.8758    3.5756    0.1982    0.2411    5.8048    1.5023
+#&gt; 264:    93.0021   -5.8959   -2.0870   -4.3158   -0.9293    0.1773    6.3614    3.7682    0.8749    3.5667    0.1983    0.2410    5.8017    1.5021
+#&gt; 265:    93.0053   -5.8989   -2.0866   -4.3130   -0.9296    0.1766    6.3506    3.7814    0.8739    3.5567    0.1982    0.2409    5.7995    1.5018
+#&gt; 266:    93.0061   -5.8992   -2.0864   -4.3104   -0.9300    0.1757    6.3307    3.7730    0.8733    3.5471    0.1982    0.2408    5.7994    1.5012
+#&gt; 267:    93.0098   -5.9009   -2.0861   -4.3077   -0.9302    0.1749    6.3326    3.7738    0.8730    3.5388    0.1983    0.2407    5.7964    1.5004
+#&gt; 268:    93.0144   -5.9000   -2.0853   -4.3054   -0.9304    0.1740    6.3487    3.7623    0.8729    3.5290    0.1985    0.2405    5.7897    1.5014
+#&gt; 269:    93.0146   -5.8984   -2.0847   -4.3032   -0.9306    0.1731    6.3716    3.7485    0.8735    3.5197    0.1985    0.2402    5.7867    1.5016
+#&gt; 270:    93.0159   -5.8950   -2.0842   -4.3013   -0.9307    0.1722    6.3630    3.7266    0.8743    3.5098    0.1986    0.2400    5.7837    1.5016
+#&gt; 271:    93.0161   -5.8925   -2.0837   -4.2995   -0.9309    0.1715    6.3539    3.7068    0.8744    3.5001    0.1986    0.2400    5.7843    1.5020
+#&gt; 272:    93.0195   -5.8919   -2.0837   -4.2977   -0.9314    0.1710    6.3430    3.6964    0.8744    3.4922    0.1985    0.2400    5.7859    1.5031
+#&gt; 273:    93.0184   -5.8923   -2.0837   -4.2961   -0.9318    0.1705    6.3531    3.6914    0.8743    3.4854    0.1984    0.2402    5.7880    1.5030
+#&gt; 274:    93.0178   -5.8927   -2.0834   -4.2951   -0.9320    0.1701    6.3818    3.6865    0.8749    3.4824    0.1984    0.2403    5.7928    1.5020
+#&gt; 275:    93.0204   -5.8937   -2.0833   -4.2942   -0.9324    0.1700    6.3961    3.6842    0.8754    3.4790    0.1984    0.2402    5.7949    1.5011
+#&gt; 276:    93.0228   -5.8958   -2.0833   -4.2932   -0.9327    0.1699    6.3965    3.6870    0.8760    3.4752    0.1984    0.2402    5.7934    1.5002
+#&gt; 277:    93.0251   -5.9000   -2.0833   -4.2921   -0.9329    0.1695    6.4076    3.7032    0.8766    3.4712    0.1985    0.2400    5.7979    1.4989
+#&gt; 278:    93.0297   -5.9021   -2.0833   -4.2912   -0.9331    0.1690    6.4279    3.7073    0.8771    3.4671    0.1986    0.2399    5.7978    1.4981
+#&gt; 279:    93.0273   -5.9021   -2.0832   -4.2902   -0.9332    0.1684    6.4349    3.7003    0.8779    3.4622    0.1988    0.2400    5.7993    1.4972
+#&gt; 280:    93.0236   -5.9030   -2.0831   -4.2892   -0.9334    0.1674    6.4776    3.6986    0.8787    3.4576    0.1990    0.2401    5.8026    1.4963
+#&gt; 281:    93.0172   -5.9037   -2.0829   -4.2881   -0.9337    0.1665    6.4942    3.6984    0.8797    3.4536    0.1992    0.2402    5.8056    1.4955
+#&gt; 282:    93.0147   -5.9055   -2.0827   -4.2872   -0.9339    0.1656    6.4861    3.7031    0.8810    3.4492    0.1992    0.2403    5.8107    1.4954
+#&gt; 283:    93.0138   -5.9053   -2.0824   -4.2865   -0.9341    0.1646    6.4962    3.6967    0.8822    3.4451    0.1993    0.2406    5.8142    1.4959
+#&gt; 284:    93.0132   -5.9067   -2.0821   -4.2864   -0.9343    0.1636    6.5021    3.7013    0.8838    3.4437    0.1993    0.2406    5.8146    1.4955
+#&gt; 285:    93.0138   -5.9081   -2.0819   -4.2859   -0.9343    0.1628    6.5037    3.7043    0.8851    3.4406    0.1994    0.2406    5.8146    1.4945
+#&gt; 286:    93.0119   -5.9086   -2.0815   -4.2858   -0.9342    0.1620    6.5068    3.7037    0.8864    3.4395    0.1994    0.2404    5.8133    1.4936
+#&gt; 287:    93.0122   -5.9089   -2.0813   -4.2860   -0.9342    0.1614    6.5202    3.7044    0.8872    3.4399    0.1997    0.2401    5.8096    1.4929
+#&gt; 288:    93.0104   -5.9083   -2.0812   -4.2858   -0.9342    0.1609    6.5237    3.6997    0.8876    3.4376    0.1999    0.2398    5.8041    1.4924
+#&gt; 289:    93.0076   -5.9066   -2.0812   -4.2854   -0.9342    0.1604    6.5121    3.6893    0.8881    3.4342    0.1999    0.2394    5.8021    1.4922
+#&gt; 290:    93.0064   -5.9052   -2.0813   -4.2851   -0.9343    0.1602    6.5106    3.6772    0.8886    3.4309    0.2000    0.2389    5.7988    1.4915
+#&gt; 291:    93.0071   -5.9031   -2.0813   -4.2849   -0.9345    0.1601    6.5031    3.6628    0.8891    3.4284    0.2000    0.2384    5.7959    1.4908
+#&gt; 292:    93.0114   -5.9023   -2.0809   -4.2841   -0.9346    0.1594    6.4930    3.6538    0.8894    3.4237    0.2001    0.2383    5.7923    1.4902
+#&gt; 293:    93.0148   -5.9032   -2.0807   -4.2834   -0.9348    0.1589    6.4836    3.6542    0.8898    3.4206    0.2002    0.2380    5.7893    1.4893
+#&gt; 294:    93.0161   -5.9026   -2.0806   -4.2826   -0.9349    0.1582    6.4719    3.6469    0.8901    3.4176    0.2005    0.2375    5.7898    1.4886
+#&gt; 295:    93.0212   -5.9008   -2.0806   -4.2817   -0.9350    0.1576    6.4649    3.6372    0.8904    3.4145    0.2007    0.2370    5.7885    1.4890
+#&gt; 296:    93.0270   -5.8989   -2.0805   -4.2809   -0.9351    0.1569    6.4835    3.6279    0.8911    3.4124    0.2010    0.2366    5.7886    1.4884
+#&gt; 297:    93.0291   -5.8969   -2.0803   -4.2800   -0.9352    0.1560    6.5014    3.6177    0.8915    3.4094    0.2012    0.2364    5.7873    1.4880
+#&gt; 298:    93.0332   -5.8963   -2.0801   -4.2790   -0.9352    0.1551    6.5168    3.6111    0.8919    3.4065    0.2014    0.2361    5.7855    1.4875
+#&gt; 299:    93.0339   -5.8961   -2.0799   -4.2782   -0.9352    0.1542    6.5288    3.6081    0.8927    3.4038    0.2015    0.2358    5.7844    1.4869
+#&gt; 300:    93.0335   -5.8971   -2.0797   -4.2772   -0.9351    0.1533    6.5409    3.6097    0.8937    3.4009    0.2017    0.2356    5.7844    1.4859
+#&gt; 301:    93.0320   -5.8979   -2.0796   -4.2762   -0.9350    0.1522    6.5553    3.6126    0.8945    3.3977    0.2020    0.2354    5.7898    1.4847
+#&gt; 302:    93.0321   -5.8997   -2.0795   -4.2751   -0.9351    0.1513    6.5737    3.6195    0.8956    3.3943    0.2023    0.2351    5.7917    1.4835
+#&gt; 303:    93.0328   -5.8984   -2.0792   -4.2739   -0.9351    0.1504    6.5888    3.6111    0.8964    3.3912    0.2025    0.2350    5.7915    1.4825
+#&gt; 304:    93.0357   -5.8969   -2.0790   -4.2728   -0.9350    0.1494    6.5907    3.6018    0.8975    3.3882    0.2026    0.2348    5.7929    1.4813
+#&gt; 305:    93.0351   -5.8953   -2.0786   -4.2718   -0.9349    0.1484    6.5764    3.5916    0.8986    3.3858    0.2027    0.2345    5.7937    1.4816
+#&gt; 306:    93.0352   -5.8950   -2.0784   -4.2707   -0.9350    0.1475    6.5727    3.5890    0.8999    3.3835    0.2028    0.2341    5.7981    1.4810
+#&gt; 307:    93.0354   -5.8947   -2.0784   -4.2699   -0.9351    0.1466    6.5759    3.5853    0.9010    3.3820    0.2030    0.2339    5.8028    1.4799
+#&gt; 308:    93.0336   -5.8938   -2.0783   -4.2690   -0.9351    0.1459    6.5855    3.5776    0.9022    3.3809    0.2031    0.2333    5.8014    1.4788
+#&gt; 309:    93.0311   -5.8931   -2.0780   -4.2683   -0.9351    0.1452    6.5799    3.5717    0.9038    3.3805    0.2033    0.2328    5.8048    1.4779
+#&gt; 310:    93.0303   -5.8915   -2.0778   -4.2675   -0.9352    0.1447    6.5716    3.5609    0.9046    3.3797    0.2033    0.2323    5.8060    1.4774
+#&gt; 311:    93.0275   -5.8915   -2.0776   -4.2668   -0.9352    0.1441    6.5679    3.5581    0.9052    3.3788    0.2034    0.2319    5.8056    1.4770
+#&gt; 312:    93.0258   -5.8920   -2.0775   -4.2659   -0.9352    0.1435    6.5573    3.5571    0.9058    3.3775    0.2033    0.2314    5.8053    1.4766
+#&gt; 313:    93.0234   -5.8928   -2.0773   -4.2649   -0.9353    0.1431    6.5510    3.5573    0.9065    3.3761    0.2033    0.2309    5.8046    1.4757
+#&gt; 314:    93.0237   -5.8937   -2.0771   -4.2639   -0.9355    0.1425    6.5488    3.5578    0.9074    3.3747    0.2033    0.2303    5.8029    1.4751
+#&gt; 315:    93.0237   -5.8940   -2.0769   -4.2629   -0.9357    0.1420    6.5480    3.5565    0.9081    3.3730    0.2034    0.2299    5.8010    1.4746
+#&gt; 316:    93.0218   -5.8936   -2.0767   -4.2617   -0.9358    0.1413    6.5424    3.5517    0.9087    3.3705    0.2034    0.2296    5.7992    1.4741
+#&gt; 317:    93.0218   -5.8932   -2.0766   -4.2606   -0.9359    0.1406    6.5576    3.5474    0.9091    3.3679    0.2034    0.2292    5.7965    1.4736
+#&gt; 318:    93.0215   -5.8927   -2.0765   -4.2597   -0.9361    0.1402    6.5884    3.5420    0.9096    3.3661    0.2034    0.2288    5.7960    1.4727
+#&gt; 319:    93.0201   -5.8938   -2.0764   -4.2588   -0.9361    0.1397    6.6095    3.5439    0.9101    3.3642    0.2034    0.2283    5.7943    1.4719
+#&gt; 320:    93.0188   -5.8926   -2.0763   -4.2579   -0.9361    0.1392    6.6170    3.5368    0.9103    3.3622    0.2034    0.2282    5.7930    1.4711
+#&gt; 321:    93.0155   -5.8908   -2.0762   -4.2569   -0.9361    0.1385    6.6328    3.5268    0.9105    3.3598    0.2033    0.2282    5.7921    1.4702
+#&gt; 322:    93.0133   -5.8894   -2.0760   -4.2561   -0.9360    0.1378    6.6415    3.5192    0.9110    3.3580    0.2032    0.2282    5.7903    1.4698
+#&gt; 323:    93.0089   -5.8888   -2.0759   -4.2555   -0.9360    0.1372    6.6480    3.5131    0.9107    3.3563    0.2031    0.2285    5.7915    1.4691
+#&gt; 324:    93.0038   -5.8881   -2.0758   -4.2547   -0.9359    0.1364    6.6639    3.5076    0.9106    3.3547    0.2029    0.2287    5.7912    1.4687
+#&gt; 325:    93.0011   -5.8871   -2.0756   -4.2540   -0.9359    0.1361    6.6587    3.5005    0.9102    3.3531    0.2028    0.2289    5.7896    1.4686
+#&gt; 326:    93.0033   -5.8874   -2.0755   -4.2535   -0.9360    0.1360    6.6621    3.4995    0.9098    3.3510    0.2026    0.2294    5.7883    1.4686
+#&gt; 327:    93.0039   -5.8885   -2.0754   -4.2532   -0.9361    0.1359    6.6589    3.5051    0.9093    3.3497    0.2025    0.2297    5.7869    1.4687
+#&gt; 328:    93.0061   -5.8896   -2.0753   -4.2529   -0.9362    0.1355    6.6671    3.5132    0.9088    3.3484    0.2024    0.2299    5.7854    1.4687
+#&gt; 329:    93.0077   -5.8915   -2.0755   -4.2525   -0.9363    0.1352    6.6719    3.5255    0.9085    3.3464    0.2024    0.2301    5.7850    1.4682
+#&gt; 330:    93.0061   -5.8942   -2.0757   -4.2518   -0.9365    0.1351    6.6696    3.5399    0.9083    3.3438    0.2023    0.2302    5.7840    1.4680
+#&gt; 331:    93.0032   -5.8953   -2.0759   -4.2513   -0.9366    0.1348    6.6554    3.5433    0.9080    3.3411    0.2022    0.2302    5.7839    1.4677
+#&gt; 332:    93.0013   -5.8956   -2.0761   -4.2507   -0.9367    0.1347    6.6298    3.5423    0.9079    3.3385    0.2021    0.2302    5.7851    1.4672
+#&gt; 333:    93.0026   -5.8950   -2.0764   -4.2502   -0.9368    0.1346    6.6207    3.5365    0.9078    3.3357    0.2021    0.2303    5.7849    1.4667
+#&gt; 334:    93.0019   -5.8933   -2.0767   -4.2497   -0.9369    0.1348    6.6145    3.5259    0.9077    3.3330    0.2021    0.2302    5.7856    1.4662
+#&gt; 335:    93.0038   -5.8930   -2.0768   -4.2492   -0.9370    0.1348    6.6200    3.5227    0.9078    3.3307    0.2020    0.2303    5.7845    1.4654
+#&gt; 336:    93.0038   -5.8923   -2.0765   -4.2488   -0.9371    0.1348    6.6316    3.5180    0.9081    3.3291    0.2019    0.2304    5.7837    1.4654
+#&gt; 337:    93.0074   -5.8927   -2.0764   -4.2485   -0.9373    0.1349    6.6509    3.5187    0.9083    3.3275    0.2018    0.2304    5.7808    1.4655
+#&gt; 338:    93.0117   -5.8950   -2.0761   -4.2483   -0.9377    0.1349    6.6559    3.5291    0.9087    3.3263    0.2018    0.2303    5.7770    1.4657
+#&gt; 339:    93.0172   -5.8960   -2.0759   -4.2482   -0.9380    0.1349    6.6610    3.5304    0.9090    3.3260    0.2017    0.2302    5.7744    1.4657
+#&gt; 340:    93.0179   -5.8977   -2.0757   -4.2481   -0.9383    0.1349    6.6583    3.5340    0.9093    3.3263    0.2017    0.2301    5.7749    1.4650
+#&gt; 341:    93.0201   -5.8986   -2.0755   -4.2484   -0.9386    0.1348    6.6603    3.5337    0.9092    3.3283    0.2018    0.2300    5.7738    1.4650
+#&gt; 342:    93.0245   -5.8990   -2.0752   -4.2484   -0.9389    0.1348    6.6680    3.5324    0.9093    3.3297    0.2018    0.2300    5.7727    1.4649
+#&gt; 343:    93.0302   -5.9006   -2.0751   -4.2484   -0.9391    0.1347    6.6715    3.5367    0.9093    3.3313    0.2017    0.2300    5.7729    1.4645
+#&gt; 344:    93.0340   -5.9026   -2.0749   -4.2484   -0.9394    0.1346    6.6793    3.5438    0.9093    3.3326    0.2017    0.2301    5.7709    1.4646
+#&gt; 345:    93.0372   -5.9049   -2.0746   -4.2484   -0.9397    0.1347    6.6874    3.5515    0.9090    3.3340    0.2017    0.2301    5.7688    1.4648
+#&gt; 346:    93.0372   -5.9063   -2.0743   -4.2483   -0.9399    0.1348    6.6963    3.5592    0.9090    3.3348    0.2018    0.2299    5.7680    1.4656
+#&gt; 347:    93.0383   -5.9075   -2.0742   -4.2481   -0.9402    0.1350    6.7101    3.5658    0.9093    3.3353    0.2018    0.2299    5.7672    1.4649
+#&gt; 348:    93.0412   -5.9084   -2.0742   -4.2479   -0.9405    0.1351    6.7183    3.5707    0.9095    3.3356    0.2019    0.2297    5.7657    1.4645
+#&gt; 349:    93.0436   -5.9097   -2.0742   -4.2477   -0.9407    0.1351    6.7143    3.5783    0.9098    3.3359    0.2019    0.2295    5.7646    1.4643
+#&gt; 350:    93.0476   -5.9105   -2.0742   -4.2474   -0.9409    0.1351    6.7239    3.5808    0.9100    3.3354    0.2019    0.2294    5.7628    1.4639
+#&gt; 351:    93.0506   -5.9113   -2.0741   -4.2473   -0.9411    0.1352    6.7270    3.5825    0.9103    3.3356    0.2019    0.2292    5.7604    1.4637
+#&gt; 352:    93.0529   -5.9127   -2.0740   -4.2471   -0.9413    0.1353    6.7312    3.5886    0.9107    3.3358    0.2019    0.2290    5.7594    1.4634
+#&gt; 353:    93.0580   -5.9139   -2.0739   -4.2470   -0.9415    0.1354    6.7315    3.5922    0.9111    3.3357    0.2019    0.2288    5.7571    1.4636
+#&gt; 354:    93.0639   -5.9129   -2.0738   -4.2468   -0.9417    0.1354    6.7390    3.5876    0.9112    3.3356    0.2018    0.2286    5.7541    1.4642
+#&gt; 355:    93.0671   -5.9131   -2.0737   -4.2467   -0.9417    0.1353    6.7348    3.5906    0.9113    3.3354    0.2017    0.2284    5.7520    1.4648
+#&gt; 356:    93.0682   -5.9134   -2.0737   -4.2465   -0.9418    0.1352    6.7329    3.5962    0.9113    3.3353    0.2017    0.2283    5.7505    1.4649
+#&gt; 357:    93.0698   -5.9128   -2.0738   -4.2471   -0.9418    0.1354    6.7397    3.5933    0.9115    3.3388    0.2016    0.2280    5.7512    1.4651
+#&gt; 358:    93.0709   -5.9129   -2.0740   -4.2475   -0.9419    0.1355    6.7379    3.5915    0.9119    3.3416    0.2016    0.2278    5.7526    1.4644
+#&gt; 359:    93.0718   -5.9128   -2.0742   -4.2478   -0.9419    0.1358    6.7428    3.5886    0.9123    3.3432    0.2015    0.2275    5.7516    1.4641
+#&gt; 360:    93.0693   -5.9136   -2.0743   -4.2481   -0.9419    0.1360    6.7385    3.5930    0.9125    3.3443    0.2015    0.2272    5.7511    1.4636
+#&gt; 361:    93.0674   -5.9148   -2.0744   -4.2484   -0.9419    0.1361    6.7230    3.6002    0.9127    3.3458    0.2015    0.2270    5.7514    1.4634
+#&gt; 362:    93.0660   -5.9168   -2.0745   -4.2486   -0.9420    0.1361    6.7313    3.6117    0.9130    3.3473    0.2014    0.2270    5.7506    1.4636
+#&gt; 363:    93.0635   -5.9196   -2.0746   -4.2490   -0.9421    0.1360    6.7388    3.6275    0.9132    3.3500    0.2014    0.2269    5.7493    1.4636
+#&gt; 364:    93.0631   -5.9210   -2.0747   -4.2497   -0.9421    0.1361    6.7383    3.6323    0.9135    3.3548    0.2015    0.2268    5.7483    1.4634
+#&gt; 365:    93.0635   -5.9219   -2.0747   -4.2504   -0.9421    0.1361    6.7402    3.6341    0.9137    3.3590    0.2015    0.2268    5.7461    1.4635
+#&gt; 366:    93.0640   -5.9232   -2.0746   -4.2511   -0.9422    0.1362    6.7477    3.6409    0.9142    3.3624    0.2015    0.2267    5.7451    1.4641
+#&gt; 367:    93.0616   -5.9247   -2.0746   -4.2518   -0.9422    0.1364    6.7557    3.6473    0.9148    3.3653    0.2015    0.2269    5.7472    1.4640
+#&gt; 368:    93.0601   -5.9247   -2.0746   -4.2522   -0.9422    0.1366    6.7632    3.6452    0.9150    3.3678    0.2015    0.2270    5.7482    1.4639
+#&gt; 369:    93.0583   -5.9240   -2.0748   -4.2527   -0.9423    0.1369    6.7737    3.6395    0.9148    3.3695    0.2015    0.2273    5.7499    1.4636
+#&gt; 370:    93.0591   -5.9236   -2.0752   -4.2532   -0.9423    0.1373    6.7721    3.6352    0.9145    3.3718    0.2015    0.2276    5.7513    1.4636
+#&gt; 371:    93.0607   -5.9235   -2.0755   -4.2540   -0.9424    0.1378    6.7682    3.6330    0.9143    3.3754    0.2015    0.2280    5.7535    1.4635
+#&gt; 372:    93.0615   -5.9229   -2.0759   -4.2549   -0.9424    0.1382    6.7640    3.6288    0.9142    3.3795    0.2014    0.2284    5.7553    1.4633
+#&gt; 373:    93.0612   -5.9237   -2.0763   -4.2557   -0.9424    0.1385    6.7641    3.6327    0.9140    3.3832    0.2012    0.2288    5.7570    1.4629
+#&gt; 374:    93.0611   -5.9240   -2.0766   -4.2565   -0.9424    0.1389    6.7701    3.6341    0.9137    3.3872    0.2011    0.2293    5.7599    1.4625
+#&gt; 375:    93.0615   -5.9247   -2.0770   -4.2573   -0.9424    0.1393    6.7729    3.6362    0.9134    3.3912    0.2009    0.2296    5.7629    1.4620
+#&gt; 376:    93.0621   -5.9248   -2.0772   -4.2578   -0.9425    0.1397    6.7732    3.6371    0.9132    3.3931    0.2008    0.2298    5.7654    1.4613
+#&gt; 377:    93.0622   -5.9255   -2.0774   -4.2582   -0.9426    0.1401    6.7681    3.6389    0.9130    3.3953    0.2007    0.2300    5.7678    1.4607
+#&gt; 378:    93.0609   -5.9256   -2.0775   -4.2585   -0.9426    0.1402    6.7705    3.6381    0.9128    3.3972    0.2006    0.2301    5.7673    1.4602
+#&gt; 379:    93.0590   -5.9262   -2.0776   -4.2589   -0.9426    0.1404    6.7777    3.6382    0.9127    3.3991    0.2005    0.2303    5.7668    1.4599
+#&gt; 380:    93.0607   -5.9258   -2.0777   -4.2595   -0.9427    0.1407    6.7836    3.6350    0.9127    3.4031    0.2004    0.2305    5.7665    1.4598
+#&gt; 381:    93.0617   -5.9251   -2.0777   -4.2596   -0.9427    0.1410    6.7880    3.6294    0.9125    3.4030    0.2003    0.2307    5.7651    1.4601
+#&gt; 382:    93.0631   -5.9252   -2.0777   -4.2599   -0.9428    0.1413    6.7912    3.6278    0.9123    3.4038    0.2002    0.2310    5.7649    1.4606
+#&gt; 383:    93.0621   -5.9253   -2.0778   -4.2602   -0.9429    0.1415    6.7834    3.6279    0.9119    3.4053    0.2000    0.2312    5.7657    1.4607
+#&gt; 384:    93.0614   -5.9254   -2.0779   -4.2604   -0.9430    0.1416    6.7853    3.6280    0.9115    3.4066    0.1999    0.2313    5.7662    1.4608
+#&gt; 385:    93.0613   -5.9259   -2.0780   -4.2605   -0.9430    0.1418    6.7757    3.6301    0.9112    3.4066    0.1997    0.2315    5.7678    1.4609
+#&gt; 386:    93.0614   -5.9264   -2.0780   -4.2607   -0.9431    0.1418    6.7610    3.6331    0.9110    3.4073    0.1995    0.2317    5.7696    1.4612
+#&gt; 387:    93.0631   -5.9276   -2.0780   -4.2610   -0.9432    0.1420    6.7595    3.6397    0.9108    3.4085    0.1993    0.2318    5.7716    1.4612
+#&gt; 388:    93.0650   -5.9282   -2.0779   -4.2613   -0.9433    0.1421    6.7552    3.6445    0.9106    3.4092    0.1992    0.2318    5.7731    1.4612
+#&gt; 389:    93.0644   -5.9286   -2.0779   -4.2616   -0.9434    0.1422    6.7488    3.6471    0.9104    3.4098    0.1991    0.2317    5.7724    1.4614
+#&gt; 390:    93.0653   -5.9297   -2.0778   -4.2619   -0.9435    0.1423    6.7412    3.6524    0.9101    3.4103    0.1990    0.2317    5.7722    1.4615
+#&gt; 391:    93.0647   -5.9297   -2.0778   -4.2623   -0.9435    0.1425    6.7508    3.6524    0.9101    3.4115    0.1989    0.2317    5.7729    1.4621
+#&gt; 392:    93.0637   -5.9293   -2.0778   -4.2624   -0.9436    0.1427    6.7572    3.6498    0.9102    3.4109    0.1988    0.2317    5.7727    1.4623
+#&gt; 393:    93.0657   -5.9294   -2.0778   -4.2632   -0.9436    0.1429    6.7607    3.6496    0.9104    3.4148    0.1987    0.2318    5.7719    1.4621
+#&gt; 394:    93.0689   -5.9293   -2.0779   -4.2635   -0.9438    0.1431    6.7635    3.6489    0.9108    3.4141    0.1987    0.2318    5.7724    1.4623
+#&gt; 395:    93.0705   -5.9295   -2.0780   -4.2640   -0.9438    0.1433    6.7753    3.6500    0.9110    3.4145    0.1986    0.2319    5.7724    1.4622
+#&gt; 396:    93.0704   -5.9296   -2.0780   -4.2648   -0.9438    0.1435    6.7793    3.6511    0.9112    3.4175    0.1985    0.2319    5.7720    1.4618
+#&gt; 397:    93.0715   -5.9302   -2.0781   -4.2656   -0.9438    0.1437    6.7782    3.6530    0.9114    3.4206    0.1985    0.2320    5.7706    1.4617
+#&gt; 398:    93.0719   -5.9297   -2.0781   -4.2666   -0.9438    0.1439    6.7774    3.6510    0.9120    3.4258    0.1984    0.2319    5.7709    1.4616
+#&gt; 399:    93.0720   -5.9296   -2.0781   -4.2678   -0.9438    0.1441    6.7819    3.6526    0.9126    3.4317    0.1984    0.2319    5.7717    1.4615
+#&gt; 400:    93.0730   -5.9296   -2.0783   -4.2691   -0.9438    0.1443    6.7786    3.6538    0.9129    3.4389    0.1983    0.2319    5.7716    1.4614
+#&gt; 401:    93.0728   -5.9292   -2.0783   -4.2706   -0.9437    0.1445    6.7731    3.6521    0.9133    3.4478    0.1982    0.2319    5.7701    1.4615
+#&gt; 402:    93.0732   -5.9289   -2.0784   -4.2718   -0.9438    0.1447    6.7698    3.6517    0.9137    3.4542    0.1981    0.2319    5.7689    1.4618
+#&gt; 403:    93.0732   -5.9301   -2.0785   -4.2730   -0.9438    0.1450    6.7640    3.6576    0.9142    3.4593    0.1980    0.2320    5.7693    1.4615
+#&gt; 404:    93.0710   -5.9316   -2.0787   -4.2740   -0.9439    0.1453    6.7544    3.6647    0.9147    3.4644    0.1979    0.2320    5.7708    1.4611
+#&gt; 405:    93.0687   -5.9322   -2.0788   -4.2750   -0.9440    0.1454    6.7547    3.6663    0.9153    3.4693    0.1978    0.2322    5.7714    1.4608
+#&gt; 406:    93.0673   -5.9337   -2.0789   -4.2760   -0.9440    0.1456    6.7563    3.6726    0.9163    3.4742    0.1977    0.2324    5.7718    1.4603
+#&gt; 407:    93.0653   -5.9345   -2.0791   -4.2769   -0.9440    0.1456    6.7601    3.6756    0.9169    3.4786    0.1976    0.2327    5.7732    1.4598
+#&gt; 408:    93.0640   -5.9357   -2.0793   -4.2779   -0.9440    0.1455    6.7547    3.6821    0.9177    3.4838    0.1974    0.2329    5.7751    1.4592
+#&gt; 409:    93.0646   -5.9371   -2.0795   -4.2784   -0.9440    0.1456    6.7486    3.6915    0.9184    3.4863    0.1973    0.2330    5.7766    1.4588
+#&gt; 410:    93.0639   -5.9391   -2.0797   -4.2791   -0.9441    0.1457    6.7523    3.7048    0.9192    3.4889    0.1972    0.2329    5.7770    1.4582
+#&gt; 411:    93.0628   -5.9401   -2.0799   -4.2799   -0.9442    0.1457    6.7529    3.7113    0.9199    3.4929    0.1972    0.2329    5.7761    1.4580
+#&gt; 412:    93.0620   -5.9402   -2.0801   -4.2808   -0.9443    0.1458    6.7502    3.7099    0.9207    3.4972    0.1971    0.2328    5.7767    1.4577
+#&gt; 413:    93.0628   -5.9403   -2.0804   -4.2816   -0.9443    0.1461    6.7466    3.7091    0.9214    3.5007    0.1970    0.2326    5.7771    1.4572
+#&gt; 414:    93.0627   -5.9405   -2.0807   -4.2825   -0.9443    0.1463    6.7480    3.7089    0.9221    3.5048    0.1969    0.2325    5.7774    1.4567
+#&gt; 415:    93.0614   -5.9402   -2.0810   -4.2836   -0.9443    0.1465    6.7474    3.7066    0.9226    3.5098    0.1969    0.2323    5.7780    1.4564
+#&gt; 416:    93.0610   -5.9408   -2.0813   -4.2848   -0.9443    0.1469    6.7544    3.7116    0.9229    3.5157    0.1968    0.2321    5.7786    1.4559
+#&gt; 417:    93.0601   -5.9413   -2.0815   -4.2860   -0.9443    0.1471    6.7592    3.7158    0.9234    3.5206    0.1967    0.2319    5.7793    1.4556
+#&gt; 418:    93.0606   -5.9424   -2.0817   -4.2868   -0.9444    0.1473    6.7589    3.7214    0.9238    3.5237    0.1966    0.2318    5.7787    1.4553
+#&gt; 419:    93.0605   -5.9433   -2.0818   -4.2877   -0.9444    0.1476    6.7641    3.7253    0.9242    3.5274    0.1965    0.2316    5.7780    1.4552
+#&gt; 420:    93.0623   -5.9427   -2.0819   -4.2886   -0.9445    0.1478    6.7593    3.7216    0.9246    3.5310    0.1965    0.2314    5.7772    1.4551
+#&gt; 421:    93.0630   -5.9418   -2.0819   -4.2895   -0.9445    0.1480    6.7489    3.7166    0.9250    3.5337    0.1964    0.2312    5.7764    1.4552
+#&gt; 422:    93.0626   -5.9410   -2.0820   -4.2900   -0.9445    0.1482    6.7452    3.7124    0.9253    3.5350    0.1963    0.2311    5.7758    1.4549
+#&gt; 423:    93.0629   -5.9407   -2.0822   -4.2906   -0.9446    0.1484    6.7409    3.7095    0.9256    3.5360    0.1963    0.2309    5.7753    1.4546
+#&gt; 424:    93.0637   -5.9404   -2.0821   -4.2912   -0.9446    0.1485    6.7387    3.7073    0.9258    3.5370    0.1962    0.2308    5.7733    1.4546
+#&gt; 425:    93.0625   -5.9402   -2.0821   -4.2917   -0.9447    0.1486    6.7330    3.7061    0.9258    3.5381    0.1961    0.2306    5.7722    1.4548
+#&gt; 426:    93.0624   -5.9399   -2.0820   -4.2921   -0.9447    0.1487    6.7256    3.7034    0.9259    3.5387    0.1961    0.2304    5.7719    1.4545
+#&gt; 427:    93.0606   -5.9397   -2.0821   -4.2925   -0.9447    0.1488    6.7139    3.7010    0.9257    3.5394    0.1961    0.2301    5.7730    1.4545
+#&gt; 428:    93.0601   -5.9394   -2.0822   -4.2929   -0.9447    0.1489    6.7062    3.6984    0.9256    3.5405    0.1961    0.2298    5.7723    1.4543
+#&gt; 429:    93.0615   -5.9391   -2.0821   -4.2933   -0.9447    0.1490    6.7040    3.6956    0.9254    3.5412    0.1960    0.2297    5.7714    1.4544
+#&gt; 430:    93.0654   -5.9389   -2.0820   -4.2934   -0.9448    0.1491    6.7016    3.6934    0.9253    3.5412    0.1960    0.2295    5.7710    1.4546
+#&gt; 431:    93.0674   -5.9392   -2.0819   -4.2936   -0.9449    0.1491    6.6946    3.6935    0.9252    3.5414    0.1960    0.2294    5.7699    1.4547
+#&gt; 432:    93.0683   -5.9401   -2.0818   -4.2938   -0.9450    0.1491    6.6895    3.6960    0.9250    3.5417    0.1961    0.2292    5.7687    1.4549
+#&gt; 433:    93.0693   -5.9411   -2.0815   -4.2942   -0.9451    0.1491    6.6826    3.7003    0.9254    3.5433    0.1961    0.2291    5.7679    1.4549
+#&gt; 434:    93.0720   -5.9410   -2.0813   -4.2945   -0.9452    0.1491    6.6842    3.6998    0.9258    3.5440    0.1960    0.2290    5.7662    1.4548
+#&gt; 435:    93.0735   -5.9417   -2.0811   -4.2947   -0.9453    0.1490    6.6907    3.7029    0.9261    3.5446    0.1960    0.2290    5.7651    1.4548
+#&gt; 436:    93.0752   -5.9430   -2.0809   -4.2949   -0.9454    0.1489    6.6939    3.7083    0.9266    3.5459    0.1959    0.2290    5.7638    1.4547
+#&gt; 437:    93.0774   -5.9442   -2.0807   -4.2952   -0.9455    0.1487    6.7016    3.7147    0.9270    3.5474    0.1960    0.2290    5.7624    1.4550
+#&gt; 438:    93.0795   -5.9453   -2.0805   -4.2954   -0.9456    0.1485    6.7089    3.7212    0.9275    3.5491    0.1959    0.2291    5.7614    1.4551
+#&gt; 439:    93.0816   -5.9467   -2.0802   -4.2956   -0.9457    0.1484    6.7230    3.7291    0.9281    3.5503    0.1959    0.2293    5.7616    1.4551
+#&gt; 440:    93.0834   -5.9475   -2.0800   -4.2957   -0.9458    0.1480    6.7306    3.7340    0.9287    3.5512    0.1960    0.2295    5.7631    1.4551
+#&gt; 441:    93.0855   -5.9480   -2.0797   -4.2961   -0.9459    0.1478    6.7436    3.7373    0.9292    3.5534    0.1960    0.2299    5.7642    1.4553
+#&gt; 442:    93.0885   -5.9488   -2.0793   -4.2963   -0.9460    0.1474    6.7533    3.7419    0.9297    3.5546    0.1960    0.2304    5.7630    1.4554
+#&gt; 443:    93.0907   -5.9497   -2.0789   -4.2967   -0.9461    0.1471    6.7641    3.7469    0.9304    3.5570    0.1960    0.2308    5.7616    1.4554
+#&gt; 444:    93.0905   -5.9504   -2.0785   -4.2972   -0.9462    0.1467    6.7570    3.7486    0.9312    3.5601    0.1960    0.2311    5.7604    1.4553
+#&gt; 445:    93.0903   -5.9515   -2.0782   -4.2977   -0.9462    0.1462    6.7547    3.7543    0.9319    3.5635    0.1960    0.2314    5.7595    1.4550
+#&gt; 446:    93.0902   -5.9530   -2.0778   -4.2982   -0.9462    0.1459    6.7562    3.7615    0.9325    3.5664    0.1960    0.2316    5.7580    1.4548
+#&gt; 447:    93.0905   -5.9541   -2.0775   -4.2990   -0.9463    0.1455    6.7639    3.7668    0.9333    3.5719    0.1960    0.2318    5.7574    1.4543
+#&gt; 448:    93.0912   -5.9555   -2.0772   -4.2999   -0.9463    0.1452    6.7671    3.7736    0.9340    3.5783    0.1960    0.2322    5.7572    1.4540
+#&gt; 449:    93.0918   -5.9570   -2.0769   -4.3004   -0.9464    0.1448    6.7824    3.7802    0.9345    3.5809    0.1960    0.2326    5.7561    1.4537
+#&gt; 450:    93.0901   -5.9579   -2.0766   -4.3011   -0.9464    0.1444    6.7866    3.7829    0.9351    3.5853    0.1959    0.2329    5.7551    1.4536
+#&gt; 451:    93.0899   -5.9594   -2.0763   -4.3016   -0.9465    0.1439    6.7875    3.7896    0.9356    3.5888    0.1959    0.2332    5.7550    1.4537
+#&gt; 452:    93.0902   -5.9603   -2.0759   -4.3023   -0.9465    0.1435    6.7953    3.7926    0.9363    3.5927    0.1958    0.2335    5.7537    1.4538
+#&gt; 453:    93.0906   -5.9615   -2.0755   -4.3026   -0.9465    0.1430    6.7996    3.7982    0.9372    3.5950    0.1958    0.2338    5.7531    1.4539
+#&gt; 454:    93.0909   -5.9614   -2.0751   -4.3029   -0.9465    0.1425    6.8016    3.7969    0.9381    3.5976    0.1958    0.2340    5.7532    1.4540
+#&gt; 455:    93.0909   -5.9610   -2.0749   -4.3035   -0.9464    0.1420    6.8022    3.7940    0.9391    3.6022    0.1957    0.2342    5.7532    1.4539
+#&gt; 456:    93.0916   -5.9600   -2.0746   -4.3045   -0.9463    0.1416    6.7942    3.7893    0.9398    3.6104    0.1957    0.2344    5.7540    1.4537
+#&gt; 457:    93.0905   -5.9595   -2.0744   -4.3058   -0.9463    0.1411    6.7931    3.7866    0.9407    3.6210    0.1956    0.2345    5.7551    1.4534
+#&gt; 458:    93.0905   -5.9597   -2.0742   -4.3071   -0.9462    0.1407    6.7877    3.7882    0.9416    3.6327    0.1955    0.2347    5.7566    1.4532
+#&gt; 459:    93.0895   -5.9598   -2.0741   -4.3078   -0.9461    0.1402    6.7884    3.7889    0.9425    3.6383    0.1955    0.2349    5.7601    1.4527
+#&gt; 460:    93.0871   -5.9602   -2.0741   -4.3086   -0.9460    0.1398    6.7889    3.7912    0.9434    3.6439    0.1954    0.2350    5.7619    1.4522
+#&gt; 461:    93.0854   -5.9613   -2.0739   -4.3091   -0.9459    0.1393    6.7813    3.7973    0.9440    3.6481    0.1953    0.2351    5.7620    1.4520
+#&gt; 462:    93.0838   -5.9623   -2.0737   -4.3093   -0.9458    0.1388    6.7791    3.8037    0.9445    3.6498    0.1953    0.2353    5.7616    1.4518
+#&gt; 463:    93.0816   -5.9629   -2.0734   -4.3095   -0.9457    0.1384    6.7733    3.8070    0.9451    3.6508    0.1952    0.2355    5.7626    1.4519
+#&gt; 464:    93.0792   -5.9631   -2.0731   -4.3095   -0.9457    0.1379    6.7697    3.8081    0.9460    3.6507    0.1951    0.2358    5.7638    1.4518
+#&gt; 465:    93.0775   -5.9633   -2.0728   -4.3095   -0.9456    0.1374    6.7717    3.8095    0.9466    3.6506    0.1950    0.2361    5.7647    1.4519
+#&gt; 466:    93.0774   -5.9640   -2.0725   -4.3097   -0.9455    0.1368    6.7686    3.8141    0.9473    3.6516    0.1949    0.2363    5.7662    1.4516
+#&gt; 467:    93.0773   -5.9646   -2.0722   -4.3100   -0.9454    0.1364    6.7668    3.8172    0.9480    3.6535    0.1948    0.2366    5.7671    1.4516
+#&gt; 468:    93.0777   -5.9653   -2.0719   -4.3106   -0.9453    0.1358    6.7648    3.8226    0.9487    3.6566    0.1947    0.2371    5.7681    1.4514
+#&gt; 469:    93.0778   -5.9657   -2.0717   -4.3112   -0.9453    0.1353    6.7617    3.8253    0.9495    3.6588    0.1947    0.2375    5.7686    1.4510
+#&gt; 470:    93.0769   -5.9663   -2.0715   -4.3117   -0.9452    0.1347    6.7650    3.8278    0.9503    3.6613    0.1947    0.2379    5.7688    1.4506
+#&gt; 471:    93.0749   -5.9664   -2.0714   -4.3123   -0.9451    0.1342    6.7708    3.8280    0.9510    3.6643    0.1947    0.2383    5.7699    1.4505
+#&gt; 472:    93.0721   -5.9668   -2.0713   -4.3127   -0.9450    0.1337    6.7756    3.8284    0.9517    3.6665    0.1947    0.2386    5.7710    1.4501
+#&gt; 473:    93.0696   -5.9670   -2.0713   -4.3133   -0.9449    0.1333    6.7784    3.8280    0.9522    3.6698    0.1947    0.2388    5.7716    1.4498
+#&gt; 474:    93.0674   -5.9673   -2.0714   -4.3138   -0.9448    0.1329    6.7761    3.8281    0.9527    3.6731    0.1947    0.2390    5.7729    1.4496
+#&gt; 475:    93.0655   -5.9679   -2.0714   -4.3143   -0.9447    0.1324    6.7779    3.8302    0.9531    3.6762    0.1947    0.2391    5.7743    1.4493
+#&gt; 476:    93.0643   -5.9682   -2.0713   -4.3144   -0.9447    0.1321    6.7776    3.8314    0.9536    3.6768    0.1946    0.2391    5.7762    1.4492
+#&gt; 477:    93.0631   -5.9684   -2.0714   -4.3146   -0.9446    0.1317    6.7725    3.8326    0.9540    3.6787    0.1945    0.2392    5.7768    1.4492
+#&gt; 478:    93.0630   -5.9693   -2.0715   -4.3148   -0.9447    0.1314    6.7626    3.8365    0.9543    3.6788    0.1944    0.2395    5.7785    1.4492
+#&gt; 479:    93.0634   -5.9710   -2.0714   -4.3148   -0.9447    0.1310    6.7499    3.8462    0.9547    3.6778    0.1943    0.2399    5.7798    1.4490
+#&gt; 480:    93.0651   -5.9732   -2.0715   -4.3147   -0.9447    0.1307    6.7463    3.8616    0.9548    3.6770    0.1943    0.2403    5.7810    1.4488
+#&gt; 481:    93.0664   -5.9747   -2.0715   -4.3149   -0.9447    0.1304    6.7442    3.8722    0.9550    3.6780    0.1941    0.2409    5.7811    1.4487
+#&gt; 482:    93.0647   -5.9762   -2.0714   -4.3151   -0.9447    0.1300    6.7389    3.8834    0.9554    3.6784    0.1941    0.2414    5.7816    1.4484
+#&gt; 483:    93.0628   -5.9778   -2.0714   -4.3153   -0.9447    0.1295    6.7352    3.8943    0.9557    3.6783    0.1940    0.2419    5.7820    1.4483
+#&gt; 484:    93.0614   -5.9787   -2.0715   -4.3153   -0.9447    0.1291    6.7314    3.8999    0.9559    3.6774    0.1939    0.2424    5.7819    1.4481
+#&gt; 485:    93.0593   -5.9789   -2.0715   -4.3153   -0.9447    0.1288    6.7293    3.9007    0.9561    3.6765    0.1938    0.2430    5.7815    1.4480
+#&gt; 486:    93.0575   -5.9793   -2.0716   -4.3152   -0.9447    0.1284    6.7331    3.9021    0.9563    3.6753    0.1938    0.2434    5.7806    1.4480
+#&gt; 487:    93.0555   -5.9796   -2.0716   -4.3152   -0.9447    0.1281    6.7342    3.9036    0.9566    3.6741    0.1937    0.2439    5.7805    1.4479
+#&gt; 488:    93.0545   -5.9795   -2.0716   -4.3152   -0.9447    0.1277    6.7365    3.9024    0.9569    3.6729    0.1937    0.2444    5.7795    1.4480
+#&gt; 489:    93.0550   -5.9800   -2.0716   -4.3152   -0.9447    0.1274    6.7336    3.9046    0.9571    3.6719    0.1937    0.2448    5.7778    1.4481
+#&gt; 490:    93.0571   -5.9793   -2.0715   -4.3152   -0.9447    0.1272    6.7331    3.9009    0.9573    3.6704    0.1936    0.2450    5.7767    1.4484
+#&gt; 491:    93.0584   -5.9787   -2.0714   -4.3151   -0.9447    0.1270    6.7280    3.8980    0.9575    3.6688    0.1936    0.2452    5.7764    1.4487
+#&gt; 492:    93.0589   -5.9786   -2.0714   -4.3150   -0.9447    0.1267    6.7264    3.8971    0.9578    3.6675    0.1936    0.2455    5.7759    1.4489
+#&gt; 493:    93.0593   -5.9790   -2.0711   -4.3149   -0.9447    0.1265    6.7273    3.8982    0.9584    3.6660    0.1935    0.2456    5.7759    1.4490
+#&gt; 494:    93.0594   -5.9805   -2.0710   -4.3149   -0.9448    0.1263    6.7291    3.9066    0.9590    3.6650    0.1935    0.2457    5.7758    1.4489
+#&gt; 495:    93.0596   -5.9816   -2.0709   -4.3148   -0.9448    0.1261    6.7281    3.9123    0.9593    3.6639    0.1936    0.2459    5.7745    1.4490
+#&gt; 496:    93.0590   -5.9829   -2.0707   -4.3148   -0.9448    0.1259    6.7319    3.9227    0.9597    3.6628    0.1936    0.2461    5.7740    1.4491
+#&gt; 497:    93.0580   -5.9842   -2.0706   -4.3148   -0.9448    0.1257    6.7388    3.9326    0.9600    3.6623    0.1936    0.2463    5.7732    1.4492
+#&gt; 498:    93.0578   -5.9848   -2.0705   -4.3148   -0.9448    0.1255    6.7447    3.9368    0.9605    3.6618    0.1936    0.2464    5.7726    1.4494
+#&gt; 499:    93.0568   -5.9843   -2.0704   -4.3147   -0.9447    0.1253    6.7475    3.9341    0.9609    3.6612    0.1937    0.2467    5.7718    1.4495
+#&gt; 500:    93.0563   -5.9831   -2.0703   -4.3147   -0.9447    0.1251    6.7500    3.9292    0.9614    3.6607    0.1937    0.2469    5.7712    1.4496</div><div class='output co'>#&gt; <span class='message'>Calculating covariance matrix</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='input'><span class='va'>f_nlmixr_dfop_sfo_focei_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_obs</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"
+#&gt; <span style='font-weight: bold;'>Key:</span> U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
+#&gt; F: Forward difference gradient approximation
+#&gt; C: Central difference gradient approximation
+#&gt; M: Mixed forward and central difference gradient approximation
+#&gt; Unscaled parameters for Omegas=chol(solve(omega));
+#&gt; Diagonals are transformed, as specified by foceiControl(diagXform=)
+#&gt; |-----+---------------+-----------+-----------+-----------+-----------|
+#&gt; |    #| Objective Fun |  parent_0 |  log_k_A1 |f_parent_qlogis |    log_k1 |
+#&gt; |.....................|    log_k2 |  g_qlogis |sigma_parent |  sigma_A1 |
+#&gt; |.....................|        o1 |        o2 |        o3 |        o4 |
+#&gt; <span style='text-decoration: underline;'>|.....................|        o5 |        o6 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    1</span>|     488.98943 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     488.98943 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     488.98943</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    G|    Gill Diff. |    -27.68 |     2.403 |   -0.1248 |   -0.3242 |
+#&gt; |.....................|   -0.3705 |   0.07384 |    -31.92 |    -15.13 |
+#&gt; |.....................|     14.74 |     13.03 |    -12.01 |    -2.072 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     5.553 |    -10.09 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    2</span>|     1205.4696 |     1.534 |    -1.046 |   -0.9091 |   -0.9266 |
+#&gt; |.....................|   -0.9745 |   -0.8897 |   -0.2358 |   -0.5780 |
+#&gt; |.....................|    -1.162 |    -1.126 |   -0.6367 |   -0.8323 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.9817 |   -0.6738 |...........|...........|</span>
+#&gt; |    U|     1205.4696 |     142.6 |    -5.346 |   -0.9477 |    -1.994 |
+#&gt; |.....................|    -4.393 |    0.1897 |     2.616 |     1.260 |
+#&gt; |.....................|    0.5160 |    0.6557 |     1.444 |     1.015 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7709 |     1.387 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     1205.4696</span> |     142.6 |  0.004766 |    0.2793 |    0.1362 |
+#&gt; |.....................|   0.01237 |    0.5473 |     2.616 |     1.260 |
+#&gt; |.....................|    0.5160 |    0.6557 |     1.444 |     1.015 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7709 |     1.387 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    3</span>|     510.70816 |     1.053 |    -1.005 |   -0.9113 |   -0.9322 |
+#&gt; |.....................|   -0.9810 |   -0.8884 |   -0.7899 |   -0.8406 |
+#&gt; |.....................|   -0.9059 |   -0.8995 |   -0.8452 |   -0.8683 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8853 |   -0.8491 |...........|...........|</span>
+#&gt; |    U|     510.70816 |     97.96 |    -5.305 |   -0.9498 |    -1.999 |
+#&gt; |.....................|    -4.399 |    0.1900 |     2.062 |     1.116 |
+#&gt; |.....................|    0.7005 |    0.8538 |     1.199 |    0.9804 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8541 |     1.184 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     510.70816</span> |     97.96 |  0.004969 |    0.2789 |    0.1354 |
+#&gt; |.....................|   0.01229 |    0.5474 |     2.062 |     1.116 |
+#&gt; |.....................|    0.7005 |    0.8538 |     1.199 |    0.9804 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8541 |     1.184 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    4</span>|     494.11470 |     1.005 |    -1.000 |   -0.9115 |   -0.9328 |
+#&gt; |.....................|   -0.9816 |   -0.8883 |   -0.8453 |   -0.8669 |
+#&gt; |.....................|   -0.8803 |   -0.8769 |   -0.8660 |   -0.8719 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8757 |   -0.8666 |...........|...........|</span>
+#&gt; |    U|      494.1147 |     93.50 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.006 |     1.102 |
+#&gt; |.....................|    0.7190 |    0.8736 |     1.175 |    0.9768 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8624 |     1.163 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      494.1147</span> |     93.50 |  0.004989 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.006 |     1.102 |
+#&gt; |.....................|    0.7190 |    0.8736 |     1.175 |    0.9768 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8624 |     1.163 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    5</span>|     494.35784 |     1.001 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8509 |   -0.8695 |
+#&gt; |.....................|   -0.8778 |   -0.8746 |   -0.8681 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8747 |   -0.8683 |...........|...........|</span>
+#&gt; |    U|     494.35784 |     93.05 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.001 |     1.100 |
+#&gt; |.....................|    0.7208 |    0.8755 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8632 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.35784</span> |     93.05 |  0.004991 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.001 |     1.100 |
+#&gt; |.....................|    0.7208 |    0.8755 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8632 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    6</span>|     494.40319 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8514 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8744 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40319 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8757 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40319</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8757 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    7</span>|     494.40793 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8744 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40793 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40793</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    8</span>|     494.40830 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|      494.4083 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      494.4083</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    9</span>|     494.40832 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40832 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40832</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   10</span>|     494.40832 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40832 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40832</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   11</span>|     494.40832 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40832 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40832</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   12</span>|     494.40832 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40832 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40832</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   13</span>|     494.40832 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40832 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40832</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   14</span>|     494.40832 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40832 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40832</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   15</span>|     494.40832 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40832 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40832</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   16</span>|     494.40832 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40832 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40832</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   17</span>|     494.40832 |     1.000 |    -1.000 |   -0.9115 |   -0.9329 |
+#&gt; |.....................|   -0.9817 |   -0.8883 |   -0.8515 |   -0.8698 |
+#&gt; |.....................|   -0.8775 |   -0.8743 |   -0.8683 |   -0.8723 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8746 |   -0.8685 |...........|...........|</span>
+#&gt; |    U|     494.40832 |     93.00 |    -5.300 |   -0.9500 |    -2.000 |
+#&gt; |.....................|    -4.400 |    0.1900 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.40832</span> |     93.00 |  0.004992 |    0.2789 |    0.1353 |
+#&gt; |.....................|   0.01228 |    0.5474 |     2.000 |     1.100 |
+#&gt; |.....................|    0.7210 |    0.8758 |     1.172 |    0.9765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.161 |...........|...........|</span>
+#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: last objective function was not at minimum, possible problems in optimization</span></div><div class='output co'>#&gt; <span class='warning'>Warning: using R matrix to calculate covariance, can check sandwich or S matrix with $covRS and $covS</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'>
+<span class='co'># Identical two-component error for all variables is only possible with</span>
+<span class='co'># est = 'focei' in nlmixr</span>
+<span class='va'>f_nlmixr_fomc_sfo_focei_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_tc</span><span class='op'>[</span><span class='st'>"FOMC-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"
+#&gt; <span style='font-weight: bold;'>Key:</span> U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
+#&gt; F: Forward difference gradient approximation
+#&gt; C: Central difference gradient approximation
+#&gt; M: Mixed forward and central difference gradient approximation
+#&gt; Unscaled parameters for Omegas=chol(solve(omega));
+#&gt; Diagonals are transformed, as specified by foceiControl(diagXform=)
+#&gt; |-----+---------------+-----------+-----------+-----------+-----------|
+#&gt; |    #| Objective Fun |  parent_0 |  log_k_A1 |f_parent_qlogis | log_alpha |
+#&gt; |.....................|  log_beta | sigma_low |  rsd_high |        o1 |
+#&gt; |.....................|        o2 |        o3 |        o4 |        o5 |
+#&gt; |<span style='font-weight: bold;'>    1</span>|     500.20030 |     1.000 |    -1.000 |   -0.9113 |   -0.8944 |
+#&gt; |.....................|   -0.8454 |   -0.8678 |   -0.8916 |   -0.8767 |
+#&gt; |.....................|   -0.8743 |   -0.8675 |   -0.8704 |   -0.8704 |
+#&gt; |    U|      500.2003 |     93.00 |    -5.300 |   -0.9400 |   -0.1100 |
+#&gt; |.....................|     2.300 |     1.200 |   0.03000 |    0.7598 |
+#&gt; |.....................|    0.8758 |     1.214 |     1.068 |     1.071 |
+#&gt; |    X|<span style='font-weight: bold;'>      500.2003</span> |     93.00 |  0.004992 |    0.2809 |    0.8958 |
+#&gt; |.....................|     9.974 |     1.200 |   0.03000 |    0.7598 |
+#&gt; |.....................|    0.8758 |     1.214 |     1.068 |     1.071 |
+#&gt; |    G|    Gill Diff. |     48.88 |     2.383 |    0.1231 |    0.1986 |
+#&gt; |.....................|    0.1571 |    -64.31 |    -21.89 |    0.6250 |
+#&gt; |.....................|     11.41 |    -12.48 |    -9.903 |    -10.91 |
+#&gt; |<span style='font-weight: bold;'>    2</span>|     2909.4393 |    0.4361 |    -1.027 |   -0.9127 |   -0.8967 |
+#&gt; |.....................|   -0.8472 |   -0.1258 |   -0.6390 |   -0.8839 |
+#&gt; |.....................|    -1.006 |   -0.7235 |   -0.7562 |   -0.7445 |
+#&gt; |    U|     2909.4393 |     40.56 |    -5.327 |   -0.9413 |   -0.1123 |
+#&gt; |.....................|     2.298 |     1.645 |   0.03379 |    0.7544 |
+#&gt; |.....................|    0.7605 |     1.389 |     1.189 |     1.206 |
+#&gt; |    X|<span style='font-weight: bold;'>     2909.4393</span> |     40.56 |  0.004856 |    0.2806 |    0.8938 |
+#&gt; |.....................|     9.956 |     1.645 |   0.03379 |    0.7544 |
+#&gt; |.....................|    0.7605 |     1.389 |     1.189 |     1.206 |
+#&gt; |<span style='font-weight: bold;'>    3</span>|     515.24373 |    0.9436 |    -1.003 |   -0.9114 |   -0.8946 |
+#&gt; |.....................|   -0.8456 |   -0.7936 |   -0.8663 |   -0.8774 |
+#&gt; |.....................|   -0.8875 |   -0.8531 |   -0.8590 |   -0.8578 |
+#&gt; |    U|     515.24373 |     87.76 |    -5.303 |   -0.9401 |   -0.1102 |
+#&gt; |.....................|     2.300 |     1.245 |   0.03038 |    0.7593 |
+#&gt; |.....................|    0.8642 |     1.232 |     1.080 |     1.084 |
+#&gt; |    X|<span style='font-weight: bold;'>     515.24373</span> |     87.76 |  0.004978 |    0.2809 |    0.8956 |
+#&gt; |.....................|     9.972 |     1.245 |   0.03038 |    0.7593 |
+#&gt; |.....................|    0.8642 |     1.232 |     1.080 |     1.084 |
+#&gt; |<span style='font-weight: bold;'>    4</span>|     499.40695 |    0.9897 |    -1.001 |   -0.9113 |   -0.8944 |
+#&gt; |.....................|   -0.8454 |   -0.8542 |   -0.8869 |   -0.8768 |
+#&gt; |.....................|   -0.8768 |   -0.8648 |   -0.8684 |   -0.8681 |
+#&gt; |    U|     499.40695 |     92.04 |    -5.301 |   -0.9400 |   -0.1100 |
+#&gt; |.....................|     2.300 |     1.208 |   0.03007 |    0.7597 |
+#&gt; |.....................|    0.8737 |     1.217 |     1.070 |     1.073 |
+#&gt; |    X|<span style='font-weight: bold;'>     499.40695</span> |     92.04 |  0.004989 |    0.2809 |    0.8958 |
+#&gt; |.....................|     9.974 |     1.208 |   0.03007 |    0.7597 |
+#&gt; |.....................|    0.8737 |     1.217 |     1.070 |     1.073 |
+#&gt; |    F| Forward Diff. |    -99.71 |     2.245 |   -0.1707 |    0.1202 |
+#&gt; |.....................|   -0.1546 |    -61.69 |    -22.54 |     1.475 |
+#&gt; |.....................|     7.677 |    -11.72 |    -9.584 |    -10.53 |
+#&gt; |<span style='font-weight: bold;'>    5</span>|     498.17135 |     1.001 |    -1.001 |   -0.9113 |   -0.8945 |
+#&gt; |.....................|   -0.8454 |   -0.8410 |   -0.8822 |   -0.8771 |
+#&gt; |.....................|   -0.8786 |   -0.8623 |   -0.8663 |   -0.8658 |
+#&gt; |    U|     498.17135 |     93.06 |    -5.301 |   -0.9400 |   -0.1101 |
+#&gt; |.....................|     2.300 |     1.216 |   0.03014 |    0.7595 |
+#&gt; |.....................|    0.8720 |     1.221 |     1.072 |     1.076 |
+#&gt; |    X|<span style='font-weight: bold;'>     498.17135</span> |     93.06 |  0.004987 |    0.2809 |    0.8958 |
+#&gt; |.....................|     9.974 |     1.216 |   0.03014 |    0.7595 |
+#&gt; |.....................|    0.8720 |     1.221 |     1.072 |     1.076 |
+#&gt; |    F| Forward Diff. |     55.25 |     2.349 |    0.1359 |    0.2180 |
+#&gt; |.....................|    0.1993 |    -60.48 |    -20.28 |     1.106 |
+#&gt; |.....................|     9.662 |    -11.74 |    -9.501 |    -10.55 |
+#&gt; |<span style='font-weight: bold;'>    6</span>|     497.33758 |    0.9906 |    -1.002 |   -0.9113 |   -0.8945 |
+#&gt; |.....................|   -0.8454 |   -0.8273 |   -0.8776 |   -0.8773 |
+#&gt; |.....................|   -0.8808 |   -0.8596 |   -0.8642 |   -0.8634 |
+#&gt; |    U|     497.33758 |     92.12 |    -5.302 |   -0.9400 |   -0.1101 |
+#&gt; |.....................|     2.300 |     1.224 |   0.03021 |    0.7594 |
+#&gt; |.....................|    0.8701 |     1.224 |     1.074 |     1.078 |
+#&gt; |    X|<span style='font-weight: bold;'>     497.33758</span> |     92.12 |  0.004984 |    0.2809 |    0.8957 |
+#&gt; |.....................|     9.974 |     1.224 |   0.03021 |    0.7594 |
+#&gt; |.....................|    0.8701 |     1.224 |     1.074 |     1.078 |
+#&gt; |    F| Forward Diff. |    -88.13 |     2.220 |   -0.1371 |    0.1382 |
+#&gt; |.....................|   -0.1101 |    -57.44 |    -20.90 |     1.111 |
+#&gt; |.....................|     7.358 |    -11.52 |    -9.371 |    -10.34 |
+#&gt; |<span style='font-weight: bold;'>    7</span>|     496.20963 |     1.001 |    -1.002 |   -0.9113 |   -0.8946 |
+#&gt; |.....................|   -0.8454 |   -0.8137 |   -0.8728 |   -0.8776 |
+#&gt; |.....................|   -0.8827 |   -0.8569 |   -0.8620 |   -0.8610 |
+#&gt; |    U|     496.20963 |     93.07 |    -5.302 |   -0.9400 |   -0.1102 |
+#&gt; |.....................|     2.300 |     1.232 |   0.03028 |    0.7592 |
+#&gt; |.....................|    0.8684 |     1.227 |     1.077 |     1.081 |
+#&gt; |    X|<span style='font-weight: bold;'>     496.20963</span> |     93.07 |  0.004981 |    0.2809 |    0.8957 |
+#&gt; |.....................|     9.974 |     1.232 |   0.03028 |    0.7592 |
+#&gt; |.....................|    0.8684 |     1.227 |     1.077 |     1.081 |
+#&gt; |    F| Forward Diff. |     55.31 |     2.316 |    0.1573 |    0.2363 |
+#&gt; |.....................|    0.2327 |    -56.27 |    -18.79 |    0.9054 |
+#&gt; |.....................|     9.277 |    -11.53 |    -9.283 |    -10.35 |
+#&gt; |<span style='font-weight: bold;'>    8</span>|     495.35926 |    0.9914 |    -1.003 |   -0.9113 |   -0.8946 |
+#&gt; |.....................|   -0.8455 |   -0.7996 |   -0.8680 |   -0.8778 |
+#&gt; |.....................|   -0.8850 |   -0.8541 |   -0.8597 |   -0.8584 |
+#&gt; |    U|     495.35926 |     92.20 |    -5.303 |   -0.9401 |   -0.1102 |
+#&gt; |.....................|     2.300 |     1.241 |   0.03035 |    0.7590 |
+#&gt; |.....................|    0.8664 |     1.231 |     1.079 |     1.084 |
+#&gt; |    X|<span style='font-weight: bold;'>     495.35926</span> |     92.20 |  0.004979 |    0.2809 |    0.8956 |
+#&gt; |.....................|     9.973 |     1.241 |   0.03035 |    0.7590 |
+#&gt; |.....................|    0.8664 |     1.231 |     1.079 |     1.084 |
+#&gt; |    F| Forward Diff. |    -77.78 |     2.194 |   -0.1077 |    0.1552 |
+#&gt; |.....................|  -0.06714 |    -52.97 |    -19.27 |    0.8916 |
+#&gt; |.....................|     7.037 |    -11.29 |    -9.130 |    -10.15 |
+#&gt; |<span style='font-weight: bold;'>    9</span>|     494.33654 |     1.001 |    -1.003 |   -0.9113 |   -0.8947 |
+#&gt; |.....................|   -0.8455 |   -0.7857 |   -0.8631 |   -0.8780 |
+#&gt; |.....................|   -0.8870 |   -0.8511 |   -0.8573 |   -0.8558 |
+#&gt; |    U|     494.33654 |     93.09 |    -5.303 |   -0.9400 |   -0.1103 |
+#&gt; |.....................|     2.300 |     1.249 |   0.03043 |    0.7588 |
+#&gt; |.....................|    0.8647 |     1.234 |     1.082 |     1.087 |
+#&gt; |    X|<span style='font-weight: bold;'>     494.33654</span> |     93.09 |  0.004976 |    0.2809 |    0.8956 |
+#&gt; |.....................|     9.973 |     1.249 |   0.03043 |    0.7588 |
+#&gt; |.....................|    0.8647 |     1.234 |     1.082 |     1.087 |
+#&gt; |    F| Forward Diff. |     55.95 |     2.282 |    0.1850 |    0.2507 |
+#&gt; |.....................|    0.2656 |    -51.81 |    -17.28 |    0.8212 |
+#&gt; |.....................|     7.543 |    -11.27 |    -9.029 |    -10.13 |
+#&gt; |<span style='font-weight: bold;'>   10</span>|     493.47922 |    0.9922 |    -1.004 |   -0.9114 |   -0.8947 |
+#&gt; |.....................|   -0.8455 |   -0.7714 |   -0.8582 |   -0.8782 |
+#&gt; |.....................|   -0.8891 |   -0.8480 |   -0.8548 |   -0.8530 |
+#&gt; |    U|     493.47922 |     92.28 |    -5.304 |   -0.9401 |   -0.1103 |
+#&gt; |.....................|     2.300 |     1.258 |   0.03050 |    0.7587 |
+#&gt; |.....................|    0.8629 |     1.238 |     1.084 |     1.090 |
+#&gt; |    X|<span style='font-weight: bold;'>     493.47922</span> |     92.28 |  0.004973 |    0.2809 |    0.8955 |
+#&gt; |.....................|     9.973 |     1.258 |   0.03050 |    0.7587 |
+#&gt; |.....................|    0.8629 |     1.238 |     1.084 |     1.090 |
+#&gt; |    F| Forward Diff. |    -67.18 |     2.173 |  -0.07166 |    0.1818 |
+#&gt; |.....................|  -0.01313 |    -49.19 |    -17.69 |    0.7047 |
+#&gt; |.....................|     8.114 |    -11.03 |    -8.882 |    -9.923 |
+#&gt; |<span style='font-weight: bold;'>   11</span>|     492.53845 |     1.001 |    -1.004 |   -0.9114 |   -0.8948 |
+#&gt; |.....................|   -0.8456 |   -0.7572 |   -0.8532 |   -0.8784 |
+#&gt; |.....................|   -0.8914 |   -0.8448 |   -0.8522 |   -0.8501 |
+#&gt; |    U|     492.53845 |     93.09 |    -5.304 |   -0.9401 |   -0.1104 |
+#&gt; |.....................|     2.300 |     1.266 |   0.03057 |    0.7585 |
+#&gt; |.....................|    0.8608 |     1.242 |     1.087 |     1.093 |
+#&gt; |    X|<span style='font-weight: bold;'>     492.53845</span> |     93.09 |  0.004969 |    0.2809 |    0.8955 |
+#&gt; |.....................|     9.972 |     1.266 |   0.03057 |    0.7585 |
+#&gt; |.....................|    0.8608 |     1.242 |     1.087 |     1.093 |
+#&gt; |    F| Forward Diff. |     53.38 |     2.243 |    0.1941 |    0.2566 |
+#&gt; |.....................|    0.2879 |    -47.96 |    -15.83 |    0.7595 |
+#&gt; |.....................|     8.537 |    -10.98 |    -8.771 |    -9.890 |
+#&gt; |<span style='font-weight: bold;'>   12</span>|     491.72645 |    0.9926 |    -1.005 |   -0.9114 |   -0.8949 |
+#&gt; |.....................|   -0.8456 |   -0.7429 |   -0.8484 |   -0.8786 |
+#&gt; |.....................|   -0.8941 |   -0.8415 |   -0.8496 |   -0.8471 |
+#&gt; |    U|     491.72645 |     92.31 |    -5.305 |   -0.9401 |   -0.1105 |
+#&gt; |.....................|     2.300 |     1.275 |   0.03065 |    0.7584 |
+#&gt; |.....................|    0.8584 |     1.246 |     1.090 |     1.096 |
+#&gt; |    X|<span style='font-weight: bold;'>     491.72645</span> |     92.31 |  0.004966 |    0.2809 |    0.8954 |
+#&gt; |.....................|     9.972 |     1.275 |   0.03065 |    0.7584 |
+#&gt; |.....................|    0.8584 |     1.246 |     1.090 |     1.096 |
+#&gt; |    F| Forward Diff. |    -63.56 |     2.131 |  -0.05387 |    0.1833 |
+#&gt; |.....................| 0.0009134 |    -45.55 |    -16.30 |    0.3872 |
+#&gt; |.....................|     9.447 |    -10.76 |    -8.612 |    -9.684 |
+#&gt; |<span style='font-weight: bold;'>   13</span>|     490.83850 |     1.001 |    -1.006 |   -0.9114 |   -0.8949 |
+#&gt; |.....................|   -0.8457 |   -0.7286 |   -0.8435 |   -0.8787 |
+#&gt; |.....................|   -0.8974 |   -0.8380 |   -0.8468 |   -0.8440 |
+#&gt; |    U|      490.8385 |     93.07 |    -5.306 |   -0.9401 |   -0.1105 |
+#&gt; |.....................|     2.300 |     1.283 |   0.03072 |    0.7583 |
+#&gt; |.....................|    0.8556 |     1.250 |     1.093 |     1.099 |
+#&gt; |    X|<span style='font-weight: bold;'>      490.8385</span> |     93.07 |  0.004963 |    0.2809 |    0.8954 |
+#&gt; |.....................|     9.971 |     1.283 |   0.03072 |    0.7583 |
+#&gt; |.....................|    0.8556 |     1.250 |     1.093 |     1.099 |
+#&gt; |    F| Forward Diff. |     49.01 |     2.198 |    0.2057 |    0.2666 |
+#&gt; |.....................|    0.3102 |    -44.06 |    -14.52 |    0.5614 |
+#&gt; |.....................|     8.039 |    -10.72 |    -8.482 |    -9.628 |
+#&gt; |<span style='font-weight: bold;'>   14</span>|     490.09324 |    0.9928 |    -1.007 |   -0.9115 |   -0.8950 |
+#&gt; |.....................|   -0.8458 |   -0.7143 |   -0.8387 |   -0.8788 |
+#&gt; |.....................|   -0.9004 |   -0.8343 |   -0.8439 |   -0.8407 |
+#&gt; |    U|     490.09324 |     92.33 |    -5.307 |   -0.9402 |   -0.1106 |
+#&gt; |.....................|     2.300 |     1.292 |   0.03079 |    0.7582 |
+#&gt; |.....................|    0.8529 |     1.254 |     1.096 |     1.103 |
+#&gt; |    X|<span style='font-weight: bold;'>     490.09324</span> |     92.33 |  0.004959 |    0.2809 |    0.8953 |
+#&gt; |.....................|     9.970 |     1.292 |   0.03079 |    0.7582 |
+#&gt; |.....................|    0.8529 |     1.254 |     1.096 |     1.103 |
+#&gt; |    F| Forward Diff. |    -62.13 |     2.095 |  -0.03472 |    0.1999 |
+#&gt; |.....................|   0.03562 |    -41.55 |    -14.84 |    0.5236 |
+#&gt; |.....................|     7.264 |    -10.46 |    -8.310 |    -9.412 |
+#&gt; |<span style='font-weight: bold;'>   15</span>|     489.25271 |     1.001 |    -1.007 |   -0.9115 |   -0.8951 |
+#&gt; |.....................|   -0.8458 |   -0.7001 |   -0.8338 |   -0.8789 |
+#&gt; |.....................|   -0.9032 |   -0.8304 |   -0.8408 |   -0.8372 |
+#&gt; |    U|     489.25271 |     93.06 |    -5.307 |   -0.9402 |   -0.1107 |
+#&gt; |.....................|     2.300 |     1.301 |   0.03087 |    0.7581 |
+#&gt; |.....................|    0.8505 |     1.259 |     1.099 |     1.107 |
+#&gt; |    X|<span style='font-weight: bold;'>     489.25271</span> |     93.06 |  0.004955 |    0.2809 |    0.8952 |
+#&gt; |.....................|     9.970 |     1.301 |   0.03087 |    0.7581 |
+#&gt; |.....................|    0.8505 |     1.259 |     1.099 |     1.107 |
+#&gt; |    F| Forward Diff. |     44.98 |     2.155 |    0.2191 |    0.2769 |
+#&gt; |.....................|    0.3339 |    -40.42 |    -13.24 |    0.4473 |
+#&gt; |.....................|     7.595 |    -10.35 |    -8.165 |    -9.335 |
+#&gt; |<span style='font-weight: bold;'>   16</span>|     488.54089 |    0.9934 |    -1.008 |   -0.9116 |   -0.8952 |
+#&gt; |.....................|   -0.8459 |   -0.6857 |   -0.8290 |   -0.8790 |
+#&gt; |.....................|   -0.9061 |   -0.8262 |   -0.8376 |   -0.8335 |
+#&gt; |    U|     488.54089 |     92.38 |    -5.308 |   -0.9403 |   -0.1108 |
+#&gt; |.....................|     2.299 |     1.309 |   0.03094 |    0.7581 |
+#&gt; |.....................|    0.8479 |     1.264 |     1.103 |     1.111 |
+#&gt; |    X|<span style='font-weight: bold;'>     488.54089</span> |     92.38 |  0.004951 |    0.2808 |    0.8951 |
+#&gt; |.....................|     9.968 |     1.309 |   0.03094 |    0.7581 |
+#&gt; |.....................|    0.8479 |     1.264 |     1.103 |     1.111 |
+#&gt; |    F| Forward Diff. |    -55.81 |     2.061 |  -0.02096 |    0.2050 |
+#&gt; |.....................|   0.07367 |    -38.08 |    -13.50 |    0.4111 |
+#&gt; |.....................|     6.904 |    -10.08 |    -7.981 |    -9.106 |
+#&gt; |<span style='font-weight: bold;'>   17</span>|     487.77387 |     1.001 |    -1.009 |   -0.9116 |   -0.8953 |
+#&gt; |.....................|   -0.8461 |   -0.6716 |   -0.8243 |   -0.8791 |
+#&gt; |.....................|   -0.9092 |   -0.8218 |   -0.8341 |   -0.8294 |
+#&gt; |    U|     487.77387 |     93.07 |    -5.309 |   -0.9403 |   -0.1109 |
+#&gt; |.....................|     2.299 |     1.318 |   0.03101 |    0.7580 |
+#&gt; |.....................|    0.8453 |     1.270 |     1.106 |     1.115 |
+#&gt; |    X|<span style='font-weight: bold;'>     487.77387</span> |     93.07 |  0.004946 |    0.2808 |    0.8950 |
+#&gt; |.....................|     9.967 |     1.318 |   0.03101 |    0.7580 |
+#&gt; |.....................|    0.8453 |     1.270 |     1.106 |     1.115 |
+#&gt; |    F| Forward Diff. |     43.45 |     2.114 |    0.2402 |    0.2940 |
+#&gt; |.....................|    0.3672 |    -36.87 |    -12.03 |    0.3081 |
+#&gt; |.....................|     7.143 |    -10.02 |    -7.799 |    -9.000 |
+#&gt; |<span style='font-weight: bold;'>   18</span>|     487.09815 |    0.9939 |    -1.010 |   -0.9118 |   -0.8955 |
+#&gt; |.....................|   -0.8463 |   -0.6575 |   -0.8197 |   -0.8791 |
+#&gt; |.....................|   -0.9124 |   -0.8169 |   -0.8304 |   -0.8251 |
+#&gt; |    U|     487.09815 |     92.43 |    -5.310 |   -0.9404 |   -0.1111 |
+#&gt; |.....................|     2.299 |     1.326 |   0.03108 |    0.7580 |
+#&gt; |.....................|    0.8425 |     1.276 |     1.110 |     1.120 |
+#&gt; |    X|<span style='font-weight: bold;'>     487.09815</span> |     92.43 |  0.004941 |    0.2808 |    0.8948 |
+#&gt; |.....................|     9.965 |     1.326 |   0.03108 |    0.7580 |
+#&gt; |.....................|    0.8425 |     1.276 |     1.110 |     1.120 |
+#&gt; |    F| Forward Diff. |    -50.03 |     2.024 |  0.005993 |    0.2193 |
+#&gt; |.....................|    0.1119 |    -34.69 |    -12.26 |    0.2072 |
+#&gt; |.....................|     6.453 |    -9.722 |    -7.597 |    -8.758 |
+#&gt; |<span style='font-weight: bold;'>   19</span>|     486.39882 |     1.001 |    -1.011 |   -0.9119 |   -0.8957 |
+#&gt; |.....................|   -0.8465 |   -0.6438 |   -0.8151 |   -0.8789 |
+#&gt; |.....................|   -0.9156 |   -0.8116 |   -0.8264 |   -0.8203 |
+#&gt; |    U|     486.39882 |     93.07 |    -5.311 |   -0.9405 |   -0.1113 |
+#&gt; |.....................|     2.299 |     1.334 |   0.03115 |    0.7582 |
+#&gt; |.....................|    0.8396 |     1.282 |     1.114 |     1.125 |
+#&gt; |    X|<span style='font-weight: bold;'>     486.39882</span> |     93.07 |  0.004935 |    0.2808 |    0.8947 |
+#&gt; |.....................|     9.963 |     1.334 |   0.03115 |    0.7582 |
+#&gt; |.....................|    0.8396 |     1.282 |     1.114 |     1.125 |
+#&gt; |    F| Forward Diff. |     41.24 |     2.069 |    0.2581 |    0.3038 |
+#&gt; |.....................|    0.3965 |    -33.71 |    -10.93 |    0.1523 |
+#&gt; |.....................|     5.279 |    -9.597 |    -7.397 |    -8.617 |
+#&gt; |<span style='font-weight: bold;'>   20</span>|     485.77269 |    0.9943 |    -1.013 |   -0.9120 |   -0.8959 |
+#&gt; |.....................|   -0.8467 |   -0.6301 |   -0.8107 |   -0.8786 |
+#&gt; |.....................|   -0.9175 |   -0.8058 |   -0.8222 |   -0.8151 |
+#&gt; |    U|     485.77269 |     92.47 |    -5.313 |   -0.9407 |   -0.1115 |
+#&gt; |.....................|     2.299 |     1.343 |   0.03121 |    0.7584 |
+#&gt; |.....................|    0.8380 |     1.289 |     1.119 |     1.130 |
+#&gt; |    X|<span style='font-weight: bold;'>     485.77269</span> |     92.47 |  0.004928 |    0.2808 |    0.8945 |
+#&gt; |.....................|     9.960 |     1.343 |   0.03121 |    0.7584 |
+#&gt; |.....................|    0.8380 |     1.289 |     1.119 |     1.130 |
+#&gt; |    F| Forward Diff. |    -45.38 |     1.992 |   0.03513 |    0.2356 |
+#&gt; |.....................|    0.1513 |    -31.62 |    -11.12 |   0.08802 |
+#&gt; |.....................|     6.113 |    -9.278 |    -7.167 |    -8.332 |
+#&gt; |<span style='font-weight: bold;'>   21</span>|     485.13787 |     1.001 |    -1.014 |   -0.9122 |   -0.8962 |
+#&gt; |.....................|   -0.8471 |   -0.6169 |   -0.8065 |   -0.8780 |
+#&gt; |.....................|   -0.9196 |   -0.7993 |   -0.8176 |   -0.8094 |
+#&gt; |    U|     485.13787 |     93.06 |    -5.314 |   -0.9409 |   -0.1118 |
+#&gt; |.....................|     2.298 |     1.351 |   0.03128 |    0.7588 |
+#&gt; |.....................|    0.8361 |     1.297 |     1.124 |     1.136 |
+#&gt; |    X|<span style='font-weight: bold;'>     485.13787</span> |     93.06 |  0.004921 |    0.2807 |    0.8942 |
+#&gt; |.....................|     9.957 |     1.351 |   0.03128 |    0.7588 |
+#&gt; |.....................|    0.8361 |     1.297 |     1.124 |     1.136 |
+#&gt; |    F| Forward Diff. |     37.95 |     2.033 |    0.2726 |    0.3147 |
+#&gt; |.....................|    0.4223 |    -30.68 |    -9.906 |   0.05100 |
+#&gt; |.....................|     4.975 |    -9.039 |    -6.928 |    -8.144 |
+#&gt; |<span style='font-weight: bold;'>   22</span>|     484.56781 |    0.9947 |    -1.016 |   -0.9125 |   -0.8965 |
+#&gt; |.....................|   -0.8476 |   -0.6040 |   -0.8026 |   -0.8774 |
+#&gt; |.....................|   -0.9219 |   -0.7925 |   -0.8127 |   -0.8032 |
+#&gt; |    U|     484.56781 |     92.51 |    -5.316 |   -0.9411 |   -0.1121 |
+#&gt; |.....................|     2.298 |     1.358 |   0.03133 |    0.7593 |
+#&gt; |.....................|    0.8341 |     1.305 |     1.129 |     1.143 |
+#&gt; |    X|<span style='font-weight: bold;'>     484.56781</span> |     92.51 |  0.004912 |    0.2807 |    0.8939 |
+#&gt; |.....................|     9.952 |     1.358 |   0.03133 |    0.7593 |
+#&gt; |.....................|    0.8341 |     1.305 |     1.129 |     1.143 |
+#&gt; |    F| Forward Diff. |    -42.28 |     1.959 |   0.05438 |    0.2483 |
+#&gt; |.....................|    0.1829 |    -28.95 |    -10.12 |  -0.04344 |
+#&gt; |.....................|     4.379 |    -8.677 |    -6.653 |    -7.817 |
+#&gt; |<span style='font-weight: bold;'>   23</span>|     484.00832 |     1.000 |    -1.018 |   -0.9128 |   -0.8970 |
+#&gt; |.....................|   -0.8481 |   -0.5915 |   -0.7988 |   -0.8764 |
+#&gt; |.....................|   -0.9214 |   -0.7852 |   -0.8076 |   -0.7966 |
+#&gt; |    U|     484.00832 |     93.05 |    -5.318 |   -0.9414 |   -0.1125 |
+#&gt; |.....................|     2.297 |     1.366 |   0.03139 |    0.7601 |
+#&gt; |.....................|    0.8346 |     1.314 |     1.135 |     1.150 |
+#&gt; |    X|<span style='font-weight: bold;'>     484.00832</span> |     93.05 |  0.004901 |    0.2806 |    0.8936 |
+#&gt; |.....................|     9.947 |     1.366 |   0.03139 |    0.7601 |
+#&gt; |.....................|    0.8346 |     1.314 |     1.135 |     1.150 |
+#&gt; |    F| Forward Diff. |     34.54 |     2.001 |    0.2786 |    0.3182 |
+#&gt; |.....................|    0.4381 |    -28.02 |    -9.026 |  -0.09975 |
+#&gt; |.....................|     6.146 |    -8.496 |    -6.417 |    -7.602 |
+#&gt; |<span style='font-weight: bold;'>   24</span>|     483.48726 |    0.9952 |    -1.021 |   -0.9132 |   -0.8975 |
+#&gt; |.....................|   -0.8489 |   -0.5798 |   -0.7955 |   -0.8750 |
+#&gt; |.....................|   -0.9256 |   -0.7775 |   -0.8025 |   -0.7898 |
+#&gt; |    U|     483.48726 |     92.55 |    -5.321 |   -0.9418 |   -0.1131 |
+#&gt; |.....................|     2.296 |     1.373 |   0.03144 |    0.7611 |
+#&gt; |.....................|    0.8309 |     1.323 |     1.140 |     1.157 |
+#&gt; |    X|<span style='font-weight: bold;'>     483.48726</span> |     92.55 |  0.004889 |    0.2805 |    0.8931 |
+#&gt; |.....................|     9.939 |     1.373 |   0.03144 |    0.7611 |
+#&gt; |.....................|    0.8309 |     1.323 |     1.140 |     1.157 |
+#&gt; |    F| Forward Diff. |    -37.52 |     1.926 |   0.07054 |    0.2526 |
+#&gt; |.....................|    0.2102 |    -26.43 |    -9.184 |   -0.1123 |
+#&gt; |.....................|     5.591 |    -8.057 |    -6.119 |    -7.239 |
+#&gt; |<span style='font-weight: bold;'>   25</span>|     482.99669 |     1.001 |    -1.023 |   -0.9136 |   -0.8980 |
+#&gt; |.....................|   -0.8497 |   -0.5700 |   -0.7928 |   -0.8735 |
+#&gt; |.....................|   -0.9342 |   -0.7702 |   -0.7978 |   -0.7834 |
+#&gt; |    U|     482.99669 |     93.05 |    -5.323 |   -0.9422 |   -0.1136 |
+#&gt; |.....................|     2.296 |     1.379 |   0.03148 |    0.7623 |
+#&gt; |.....................|    0.8234 |     1.332 |     1.145 |     1.164 |
+#&gt; |    X|<span style='font-weight: bold;'>     482.99669</span> |     93.05 |  0.004876 |    0.2805 |    0.8926 |
+#&gt; |.....................|     9.932 |     1.379 |   0.03148 |    0.7623 |
+#&gt; |.....................|    0.8234 |     1.332 |     1.145 |     1.164 |
+#&gt; |    F| Forward Diff. |     33.56 |     1.934 |    0.3091 |    0.3219 |
+#&gt; |.....................|    0.4700 |    -25.85 |    -8.255 |  -0.09267 |
+#&gt; |.....................|     5.467 |    -7.833 |    -5.883 |    -7.031 |
+#&gt; |<span style='font-weight: bold;'>   26</span>|     482.53338 |    0.9957 |    -1.027 |   -0.9143 |   -0.8987 |
+#&gt; |.....................|   -0.8507 |   -0.5600 |   -0.7904 |   -0.8719 |
+#&gt; |.....................|   -0.9423 |   -0.7626 |   -0.7931 |   -0.7767 |
+#&gt; |    U|     482.53338 |     92.60 |    -5.327 |   -0.9428 |   -0.1143 |
+#&gt; |.....................|     2.295 |     1.385 |   0.03152 |    0.7635 |
+#&gt; |.....................|    0.8163 |     1.342 |     1.150 |     1.171 |
+#&gt; |    X|<span style='font-weight: bold;'>     482.53338</span> |     92.60 |  0.004861 |    0.2803 |    0.8920 |
+#&gt; |.....................|     9.921 |     1.385 |   0.03152 |    0.7635 |
+#&gt; |.....................|    0.8163 |     1.342 |     1.150 |     1.171 |
+#&gt; |    F| Forward Diff. |    -33.71 |     1.852 |    0.1405 |    0.2615 |
+#&gt; |.....................|    0.2476 |    -24.53 |    -8.462 |   -0.2274 |
+#&gt; |.....................|     4.657 |    -7.455 |    -5.599 |    -6.689 |
+#&gt; |<span style='font-weight: bold;'>   27</span>|     482.07760 |     1.001 |    -1.030 |   -0.9154 |   -0.8996 |
+#&gt; |.....................|   -0.8522 |   -0.5495 |   -0.7881 |   -0.8694 |
+#&gt; |.....................|   -0.9481 |   -0.7546 |   -0.7885 |   -0.7696 |
+#&gt; |    U|      482.0776 |     93.06 |    -5.330 |   -0.9439 |   -0.1152 |
+#&gt; |.....................|     2.293 |     1.391 |   0.03155 |    0.7654 |
+#&gt; |.....................|    0.8112 |     1.351 |     1.155 |     1.179 |
+#&gt; |    X|<span style='font-weight: bold;'>      482.0776</span> |     93.06 |  0.004842 |    0.2801 |    0.8912 |
+#&gt; |.....................|     9.906 |     1.391 |   0.03155 |    0.7654 |
+#&gt; |.....................|    0.8112 |     1.351 |     1.155 |     1.179 |
+#&gt; |    F| Forward Diff. |     31.51 |     1.862 |    0.3171 |    0.3253 |
+#&gt; |.....................|    0.4890 |    -23.74 |    -7.570 |   -0.1627 |
+#&gt; |.....................|     4.673 |    -7.176 |    -5.365 |    -6.441 |
+#&gt; |<span style='font-weight: bold;'>   28</span>|     481.65018 |    0.9960 |    -1.035 |   -0.9168 |   -0.9007 |
+#&gt; |.....................|   -0.8541 |   -0.5386 |   -0.7859 |   -0.8662 |
+#&gt; |.....................|   -0.9515 |   -0.7465 |   -0.7840 |   -0.7624 |
+#&gt; |    U|     481.65018 |     92.63 |    -5.335 |   -0.9452 |   -0.1163 |
+#&gt; |.....................|     2.291 |     1.398 |   0.03158 |    0.7678 |
+#&gt; |.....................|    0.8082 |     1.361 |     1.160 |     1.187 |
+#&gt; |    X|<span style='font-weight: bold;'>     481.65018</span> |     92.63 |  0.004820 |    0.2799 |    0.8902 |
+#&gt; |.....................|     9.887 |     1.398 |   0.03158 |    0.7678 |
+#&gt; |.....................|    0.8082 |     1.361 |     1.160 |     1.187 |
+#&gt; |    F| Forward Diff. |    -31.18 |     1.794 |    0.1244 |    0.2518 |
+#&gt; |.....................|    0.2479 |    -22.54 |    -7.736 |   -0.2537 |
+#&gt; |.....................|     4.155 |    -6.794 |    -5.094 |    -6.088 |
+#&gt; |<span style='font-weight: bold;'>   29</span>|     481.23911 |     1.000 |    -1.041 |   -0.9182 |   -0.9020 |
+#&gt; |.....................|   -0.8564 |   -0.5274 |   -0.7840 |   -0.8624 |
+#&gt; |.....................|   -0.9539 |   -0.7386 |   -0.7800 |   -0.7556 |
+#&gt; |    U|     481.23911 |     93.04 |    -5.341 |   -0.9465 |   -0.1176 |
+#&gt; |.....................|     2.289 |     1.404 |   0.03161 |    0.7707 |
+#&gt; |.....................|    0.8061 |     1.371 |     1.164 |     1.194 |
+#&gt; |    X|<span style='font-weight: bold;'>     481.23911</span> |     93.04 |  0.004792 |    0.2796 |    0.8890 |
+#&gt; |.....................|     9.865 |     1.404 |   0.03161 |    0.7707 |
+#&gt; |.....................|    0.8061 |     1.371 |     1.164 |     1.194 |
+#&gt; |<span style='font-weight: bold;'>   30</span>|     480.84332 |     1.001 |    -1.048 |   -0.9201 |   -0.9037 |
+#&gt; |.....................|   -0.8593 |   -0.5164 |   -0.7829 |   -0.8573 |
+#&gt; |.....................|   -0.9562 |   -0.7293 |   -0.7754 |   -0.7475 |
+#&gt; |    U|     480.84332 |     93.06 |    -5.348 |   -0.9483 |   -0.1193 |
+#&gt; |.....................|     2.286 |     1.411 |   0.03163 |    0.7746 |
+#&gt; |.....................|    0.8041 |     1.382 |     1.169 |     1.203 |
+#&gt; |    X|<span style='font-weight: bold;'>     480.84332</span> |     93.06 |  0.004757 |    0.2792 |    0.8875 |
+#&gt; |.....................|     9.836 |     1.411 |   0.03163 |    0.7746 |
+#&gt; |.....................|    0.8041 |     1.382 |     1.169 |     1.203 |
+#&gt; |<span style='font-weight: bold;'>   31</span>|     479.47395 |     1.001 |    -1.077 |   -0.9274 |   -0.9105 |
+#&gt; |.....................|   -0.8708 |   -0.4737 |   -0.7785 |   -0.8375 |
+#&gt; |.....................|   -0.9655 |   -0.6927 |   -0.7575 |   -0.7158 |
+#&gt; |    U|     479.47395 |     93.12 |    -5.377 |   -0.9551 |   -0.1261 |
+#&gt; |.....................|     2.275 |     1.436 |   0.03170 |    0.7896 |
+#&gt; |.....................|    0.7959 |     1.426 |     1.188 |     1.237 |
+#&gt; |    X|<span style='font-weight: bold;'>     479.47395</span> |     93.12 |  0.004620 |    0.2779 |    0.8816 |
+#&gt; |.....................|     9.723 |     1.436 |   0.03170 |    0.7896 |
+#&gt; |.....................|    0.7959 |     1.426 |     1.188 |     1.237 |
+#&gt; |<span style='font-weight: bold;'>   32</span>|     477.01144 |     1.003 |    -1.162 |   -0.9485 |   -0.9300 |
+#&gt; |.....................|   -0.9044 |   -0.3493 |   -0.7656 |   -0.7799 |
+#&gt; |.....................|   -0.9925 |   -0.5865 |   -0.7057 |   -0.6237 |
+#&gt; |    U|     477.01144 |     93.31 |    -5.462 |   -0.9750 |   -0.1456 |
+#&gt; |.....................|     2.241 |     1.511 |   0.03189 |    0.8334 |
+#&gt; |.....................|    0.7723 |     1.555 |     1.243 |     1.335 |
+#&gt; |    X|<span style='font-weight: bold;'>     477.01144</span> |     93.31 |  0.004245 |    0.2739 |    0.8645 |
+#&gt; |.....................|     9.403 |     1.511 |   0.03189 |    0.8334 |
+#&gt; |.....................|    0.7723 |     1.555 |     1.243 |     1.335 |
+#&gt; |    F| Forward Diff. |     48.38 |     1.353 |   -0.3553 |  -0.05530 |
+#&gt; |.....................| -0.006768 |    -8.661 |    -2.325 |   -0.1540 |
+#&gt; |.....................|     2.503 |   -0.2811 |   -0.6438 |   -0.5229 |
+#&gt; |<span style='font-weight: bold;'>   33</span>|     477.99463 |     1.002 |    -1.284 |   -0.8933 |   -0.9162 |
+#&gt; |.....................|   -0.8846 |   -0.1951 |   -0.7385 |   -0.7367 |
+#&gt; |.....................|    -1.093 |   -0.7697 |   -0.8046 |   -0.7596 |
+#&gt; |    U|     477.99463 |     93.20 |    -5.584 |   -0.9231 |   -0.1318 |
+#&gt; |.....................|     2.261 |     1.604 |   0.03230 |    0.8662 |
+#&gt; |.....................|    0.6840 |     1.333 |     1.138 |     1.190 |
+#&gt; |    X|<span style='font-weight: bold;'>     477.99463</span> |     93.20 |  0.003757 |    0.2843 |    0.8766 |
+#&gt; |.....................|     9.591 |     1.604 |   0.03230 |    0.8662 |
+#&gt; |.....................|    0.6840 |     1.333 |     1.138 |     1.190 |
+#&gt; |<span style='font-weight: bold;'>   34</span>|     476.67952 |     1.000 |    -1.201 |   -0.9310 |   -0.9256 |
+#&gt; |.....................|   -0.8981 |   -0.3000 |   -0.7569 |   -0.7662 |
+#&gt; |.....................|    -1.025 |   -0.6445 |   -0.7370 |   -0.6668 |
+#&gt; |    U|     476.67952 |     93.04 |    -5.501 |   -0.9585 |   -0.1412 |
+#&gt; |.....................|     2.247 |     1.541 |   0.03202 |    0.8438 |
+#&gt; |.....................|    0.7442 |     1.485 |     1.210 |     1.289 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.67952</span> |     93.04 |  0.004084 |    0.2772 |    0.8683 |
+#&gt; |.....................|     9.462 |     1.541 |   0.03202 |    0.8438 |
+#&gt; |.....................|    0.7442 |     1.485 |     1.210 |     1.289 |
+#&gt; |    F| Forward Diff. |     3.308 |     1.138 |    0.3206 |  0.007327 |
+#&gt; |.....................| -0.005220 |    -6.420 |    -1.952 |   -0.8085 |
+#&gt; |.....................|   -0.4295 |    -3.531 |    -2.349 |    -2.485 |
+#&gt; |<span style='font-weight: bold;'>   35</span>|     477.00015 |    0.9939 |    -1.268 |   -0.9234 |   -0.9152 |
+#&gt; |.....................|   -0.8823 |   -0.2647 |   -0.7585 |   -0.7168 |
+#&gt; |.....................|   -0.9725 |   -0.6365 |   -0.7310 |   -0.6853 |
+#&gt; |    U|     477.00015 |     92.43 |    -5.568 |   -0.9514 |   -0.1308 |
+#&gt; |.....................|     2.263 |     1.562 |   0.03200 |    0.8813 |
+#&gt; |.....................|    0.7898 |     1.495 |     1.216 |     1.269 |
+#&gt; |    X|<span style='font-weight: bold;'>     477.00015</span> |     92.43 |  0.003818 |    0.2786 |    0.8774 |
+#&gt; |.....................|     9.613 |     1.562 |   0.03200 |    0.8813 |
+#&gt; |.....................|    0.7898 |     1.495 |     1.216 |     1.269 |
+#&gt; |<span style='font-weight: bold;'>   36</span>|     476.87328 |    0.9941 |    -1.216 |   -0.9300 |   -0.9236 |
+#&gt; |.....................|   -0.8950 |   -0.2832 |   -0.7542 |   -0.7554 |
+#&gt; |.....................|    -1.014 |   -0.6375 |   -0.7322 |   -0.6666 |
+#&gt; |    U|     476.87328 |     92.45 |    -5.516 |   -0.9576 |   -0.1392 |
+#&gt; |.....................|     2.250 |     1.551 |   0.03206 |    0.8520 |
+#&gt; |.....................|    0.7536 |     1.493 |     1.215 |     1.289 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.87328</span> |     92.45 |  0.004024 |    0.2774 |    0.8700 |
+#&gt; |.....................|     9.491 |     1.551 |   0.03206 |    0.8520 |
+#&gt; |.....................|    0.7536 |     1.493 |     1.215 |     1.289 |
+#&gt; |<span style='font-weight: bold;'>   37</span>|     476.68202 |    0.9977 |    -1.202 |   -0.9313 |   -0.9256 |
+#&gt; |.....................|   -0.8981 |   -0.2947 |   -0.7553 |   -0.7655 |
+#&gt; |.....................|    -1.024 |   -0.6416 |   -0.7351 |   -0.6648 |
+#&gt; |    U|     476.68202 |     92.79 |    -5.502 |   -0.9588 |   -0.1412 |
+#&gt; |.....................|     2.247 |     1.544 |   0.03204 |    0.8443 |
+#&gt; |.....................|    0.7445 |     1.488 |     1.212 |     1.291 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.68202</span> |     92.79 |  0.004080 |    0.2771 |    0.8683 |
+#&gt; |.....................|     9.462 |     1.544 |   0.03204 |    0.8443 |
+#&gt; |.....................|    0.7445 |     1.488 |     1.212 |     1.291 |
+#&gt; |<span style='font-weight: bold;'>   38</span>|     476.66620 |    0.9991 |    -1.201 |   -0.9311 |   -0.9256 |
+#&gt; |.....................|   -0.8981 |   -0.2974 |   -0.7561 |   -0.7659 |
+#&gt; |.....................|    -1.024 |   -0.6431 |   -0.7361 |   -0.6658 |
+#&gt; |    U|      476.6662 |     92.92 |    -5.501 |   -0.9587 |   -0.1412 |
+#&gt; |.....................|     2.247 |     1.542 |   0.03203 |    0.8441 |
+#&gt; |.....................|    0.7443 |     1.487 |     1.211 |     1.290 |
+#&gt; |    X|<span style='font-weight: bold;'>      476.6662</span> |     92.92 |  0.004082 |    0.2771 |    0.8683 |
+#&gt; |.....................|     9.462 |     1.542 |   0.03203 |    0.8441 |
+#&gt; |.....................|    0.7443 |     1.487 |     1.211 |     1.290 |
+#&gt; |    F| Forward Diff. |    -16.67 |     1.127 |    0.2138 |  -0.01630 |
+#&gt; |.....................|   -0.1134 |    -4.869 |    -1.703 |  -0.03057 |
+#&gt; |.....................|  -0.03000 |    -2.848 |    -2.302 |    -2.432 |
+#&gt; |<span style='font-weight: bold;'>   39</span>|     476.65034 |     1.001 |    -1.204 |   -0.9308 |   -0.9253 |
+#&gt; |.....................|   -0.8974 |   -0.2967 |   -0.7561 |   -0.7660 |
+#&gt; |.....................|    -1.024 |   -0.6432 |   -0.7350 |   -0.6655 |
+#&gt; |    U|     476.65034 |     93.06 |    -5.504 |   -0.9584 |   -0.1409 |
+#&gt; |.....................|     2.248 |     1.543 |   0.03203 |    0.8440 |
+#&gt; |.....................|    0.7448 |     1.487 |     1.212 |     1.290 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.65034</span> |     93.06 |  0.004070 |    0.2772 |    0.8686 |
+#&gt; |.....................|     9.468 |     1.543 |   0.03203 |    0.8440 |
+#&gt; |.....................|    0.7448 |     1.487 |     1.212 |     1.290 |
+#&gt; |    F| Forward Diff. |     7.111 |     1.131 |    0.3498 |   0.02199 |
+#&gt; |.....................|   0.03596 |    -6.336 |    -1.893 |   -0.8646 |
+#&gt; |.....................|   -0.4089 |    -3.511 |    -2.253 |    -2.437 |
+#&gt; |<span style='font-weight: bold;'>   40</span>|     476.63921 |    0.9998 |    -1.207 |   -0.9306 |   -0.9249 |
+#&gt; |.....................|   -0.8968 |   -0.2957 |   -0.7561 |   -0.7661 |
+#&gt; |.....................|    -1.024 |   -0.6430 |   -0.7338 |   -0.6650 |
+#&gt; |    U|     476.63921 |     92.98 |    -5.507 |   -0.9581 |   -0.1405 |
+#&gt; |.....................|     2.249 |     1.543 |   0.03203 |    0.8439 |
+#&gt; |.....................|    0.7451 |     1.487 |     1.213 |     1.291 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.63921</span> |     92.98 |  0.004058 |    0.2773 |    0.8689 |
+#&gt; |.....................|     9.474 |     1.543 |   0.03203 |    0.8439 |
+#&gt; |.....................|    0.7451 |     1.487 |     1.213 |     1.291 |
+#&gt; |    F| Forward Diff. |    -6.837 |     1.116 |    0.2875 |   0.01149 |
+#&gt; |.....................|  -0.02542 |    -4.741 |    -1.572 |   0.01643 |
+#&gt; |.....................|    -1.427 |    -2.805 |    -2.162 |    -2.393 |
+#&gt; |<span style='font-weight: bold;'>   41</span>|     476.63321 |     1.001 |    -1.209 |   -0.9304 |   -0.9247 |
+#&gt; |.....................|   -0.8965 |   -0.2943 |   -0.7557 |   -0.7669 |
+#&gt; |.....................|    -1.022 |   -0.6432 |   -0.7330 |   -0.6644 |
+#&gt; |    U|     476.63321 |     93.07 |    -5.509 |   -0.9580 |   -0.1403 |
+#&gt; |.....................|     2.249 |     1.544 |   0.03204 |    0.8433 |
+#&gt; |.....................|    0.7468 |     1.487 |     1.214 |     1.292 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.63321</span> |     93.07 |  0.004050 |    0.2773 |    0.8691 |
+#&gt; |.....................|     9.477 |     1.544 |   0.03204 |    0.8433 |
+#&gt; |.....................|    0.7468 |     1.487 |     1.214 |     1.292 |
+#&gt; |    F| Forward Diff. |     8.780 |     1.119 |    0.3715 |   0.03544 |
+#&gt; |.....................|   0.06786 |    -4.773 |    -1.470 |  -0.02124 |
+#&gt; |.....................|    -1.265 |    -2.850 |    -2.132 |    -2.390 |
+#&gt; |<span style='font-weight: bold;'>   42</span>|     476.62737 |    0.9998 |    -1.211 |   -0.9303 |   -0.9246 |
+#&gt; |.....................|   -0.8963 |   -0.2932 |   -0.7554 |   -0.7683 |
+#&gt; |.....................|    -1.020 |   -0.6436 |   -0.7322 |   -0.6637 |
+#&gt; |    U|     476.62737 |     92.98 |    -5.511 |   -0.9578 |   -0.1402 |
+#&gt; |.....................|     2.249 |     1.545 |   0.03204 |    0.8422 |
+#&gt; |.....................|    0.7485 |     1.486 |     1.215 |     1.292 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.62737</span> |     92.98 |  0.004043 |    0.2773 |    0.8692 |
+#&gt; |.....................|     9.479 |     1.545 |   0.03204 |    0.8422 |
+#&gt; |.....................|    0.7485 |     1.486 |     1.215 |     1.292 |
+#&gt; |    F| Forward Diff. |    -5.468 |     1.108 |    0.2964 |   0.01787 |
+#&gt; |.....................|  -0.01029 |    -4.584 |    -1.512 |  -0.04750 |
+#&gt; |.....................|    -1.233 |    -2.839 |    -2.097 |    -2.338 |
+#&gt; |<span style='font-weight: bold;'>   43</span>|     476.62183 |     1.001 |    -1.213 |   -0.9301 |   -0.9245 |
+#&gt; |.....................|   -0.8960 |   -0.2918 |   -0.7549 |   -0.7696 |
+#&gt; |.....................|    -1.018 |   -0.6438 |   -0.7313 |   -0.6628 |
+#&gt; |    U|     476.62183 |     93.07 |    -5.513 |   -0.9577 |   -0.1401 |
+#&gt; |.....................|     2.249 |     1.546 |   0.03205 |    0.8412 |
+#&gt; |.....................|    0.7501 |     1.486 |     1.216 |     1.293 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.62183</span> |     93.07 |  0.004035 |    0.2773 |    0.8693 |
+#&gt; |.....................|     9.481 |     1.546 |   0.03205 |    0.8412 |
+#&gt; |.....................|    0.7501 |     1.486 |     1.216 |     1.293 |
+#&gt; |    F| Forward Diff. |     8.726 |     1.111 |    0.3721 |   0.03969 |
+#&gt; |.....................|   0.07339 |    -4.588 |    -1.391 |  -0.04583 |
+#&gt; |.....................|    -1.059 |    -2.851 |    -2.052 |    -2.306 |
+#&gt; |<span style='font-weight: bold;'>   44</span>|     476.61645 |    0.9998 |    -1.215 |   -0.9300 |   -0.9243 |
+#&gt; |.....................|   -0.8958 |   -0.2908 |   -0.7546 |   -0.7711 |
+#&gt; |.....................|    -1.016 |   -0.6442 |   -0.7306 |   -0.6621 |
+#&gt; |    U|     476.61645 |     92.98 |    -5.515 |   -0.9576 |   -0.1399 |
+#&gt; |.....................|     2.250 |     1.546 |   0.03205 |    0.8401 |
+#&gt; |.....................|    0.7517 |     1.485 |     1.217 |     1.294 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.61645</span> |     92.98 |  0.004027 |    0.2774 |    0.8694 |
+#&gt; |.....................|     9.484 |     1.546 |   0.03205 |    0.8401 |
+#&gt; |.....................|    0.7517 |     1.485 |     1.217 |     1.294 |
+#&gt; |    F| Forward Diff. |    -5.224 |     1.099 |    0.2980 |   0.02349 |
+#&gt; |.....................| -0.002638 |    -4.438 |    -1.447 |  -0.09166 |
+#&gt; |.....................|    0.4490 |    -2.896 |    -2.021 |    -2.267 |
+#&gt; |<span style='font-weight: bold;'>   45</span>|     476.60491 |     1.001 |    -1.217 |   -0.9300 |   -0.9242 |
+#&gt; |.....................|   -0.8956 |   -0.2899 |   -0.7543 |   -0.7729 |
+#&gt; |.....................|    -1.016 |   -0.6437 |   -0.7294 |   -0.6608 |
+#&gt; |    U|     476.60491 |     93.08 |    -5.517 |   -0.9576 |   -0.1398 |
+#&gt; |.....................|     2.250 |     1.547 |   0.03206 |    0.8387 |
+#&gt; |.....................|    0.7514 |     1.486 |     1.218 |     1.295 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.60491</span> |     93.08 |  0.004018 |    0.2774 |    0.8695 |
+#&gt; |.....................|     9.485 |     1.547 |   0.03206 |    0.8387 |
+#&gt; |.....................|    0.7514 |     1.486 |     1.218 |     1.295 |
+#&gt; |    F| Forward Diff. |     9.891 |     1.101 |    0.3805 |   0.04781 |
+#&gt; |.....................|   0.09121 |    -4.602 |    -1.355 |   -0.1211 |
+#&gt; |.....................|   -0.9908 |    -2.875 |    -1.954 |    -2.212 |
+#&gt; |<span style='font-weight: bold;'>   46</span>|     476.59275 |    0.9999 |    -1.219 |   -0.9301 |   -0.9241 |
+#&gt; |.....................|   -0.8954 |   -0.2896 |   -0.7542 |   -0.7748 |
+#&gt; |.....................|    -1.017 |   -0.6434 |   -0.7284 |   -0.6597 |
+#&gt; |    U|     476.59275 |     92.99 |    -5.519 |   -0.9576 |   -0.1397 |
+#&gt; |.....................|     2.250 |     1.547 |   0.03206 |    0.8373 |
+#&gt; |.....................|    0.7512 |     1.486 |     1.219 |     1.297 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.59275</span> |     92.99 |  0.004009 |    0.2774 |    0.8696 |
+#&gt; |.....................|     9.487 |     1.547 |   0.03206 |    0.8373 |
+#&gt; |.....................|    0.7512 |     1.486 |     1.219 |     1.297 |
+#&gt; |    F| Forward Diff. |    -4.741 |     1.086 |    0.3018 |   0.02978 |
+#&gt; |.....................|   0.01334 |    -4.300 |    -1.393 |  -0.08082 |
+#&gt; |.....................|    0.4335 |    -2.821 |    -1.884 |    -2.156 |
+#&gt; |<span style='font-weight: bold;'>   47</span>|     476.58049 |     1.001 |    -1.222 |   -0.9302 |   -0.9241 |
+#&gt; |.....................|   -0.8953 |   -0.2889 |   -0.7541 |   -0.7767 |
+#&gt; |.....................|    -1.017 |   -0.6427 |   -0.7275 |   -0.6585 |
+#&gt; |    U|     476.58049 |     93.06 |    -5.522 |   -0.9577 |   -0.1397 |
+#&gt; |.....................|     2.250 |     1.547 |   0.03206 |    0.8359 |
+#&gt; |.....................|    0.7507 |     1.487 |     1.220 |     1.298 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.58049</span> |     93.06 |  0.003999 |    0.2773 |    0.8697 |
+#&gt; |.....................|     9.488 |     1.547 |   0.03206 |    0.8359 |
+#&gt; |.....................|    0.7507 |     1.487 |     1.220 |     1.298 |
+#&gt; |<span style='font-weight: bold;'>   48</span>|     476.57085 |     1.001 |    -1.225 |   -0.9302 |   -0.9239 |
+#&gt; |.....................|   -0.8951 |   -0.2891 |   -0.7542 |   -0.7796 |
+#&gt; |.....................|    -1.018 |   -0.6424 |   -0.7265 |   -0.6573 |
+#&gt; |    U|     476.57085 |     93.06 |    -5.525 |   -0.9578 |   -0.1395 |
+#&gt; |.....................|     2.250 |     1.547 |   0.03206 |    0.8336 |
+#&gt; |.....................|    0.7502 |     1.488 |     1.221 |     1.299 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.57085</span> |     93.06 |  0.003985 |    0.2773 |    0.8698 |
+#&gt; |.....................|     9.490 |     1.547 |   0.03206 |    0.8336 |
+#&gt; |.....................|    0.7502 |     1.488 |     1.221 |     1.299 |
+#&gt; |<span style='font-weight: bold;'>   49</span>|     476.52700 |     1.000 |    -1.243 |   -0.9306 |   -0.9233 |
+#&gt; |.....................|   -0.8940 |   -0.2898 |   -0.7549 |   -0.7948 |
+#&gt; |.....................|    -1.021 |   -0.6409 |   -0.7216 |   -0.6509 |
+#&gt; |    U|       476.527 |     93.02 |    -5.543 |   -0.9582 |   -0.1389 |
+#&gt; |.....................|     2.251 |     1.547 |   0.03205 |    0.8221 |
+#&gt; |.....................|    0.7475 |     1.489 |     1.226 |     1.306 |
+#&gt; |    X|<span style='font-weight: bold;'>       476.527</span> |     93.02 |  0.003915 |    0.2772 |    0.8703 |
+#&gt; |.....................|     9.501 |     1.547 |   0.03205 |    0.8221 |
+#&gt; |.....................|    0.7475 |     1.489 |     1.226 |     1.306 |
+#&gt; |<span style='font-weight: bold;'>   50</span>|     476.45166 |    0.9988 |    -1.314 |   -0.9321 |   -0.9209 |
+#&gt; |.....................|   -0.8895 |   -0.2927 |   -0.7576 |   -0.8554 |
+#&gt; |.....................|    -1.033 |   -0.6351 |   -0.7022 |   -0.6254 |
+#&gt; |    U|     476.45166 |     92.89 |    -5.614 |   -0.9596 |   -0.1365 |
+#&gt; |.....................|     2.256 |     1.545 |   0.03201 |    0.7760 |
+#&gt; |.....................|    0.7365 |     1.496 |     1.247 |     1.333 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.45166</span> |     92.89 |  0.003648 |    0.2770 |    0.8724 |
+#&gt; |.....................|     9.543 |     1.545 |   0.03201 |    0.7760 |
+#&gt; |.....................|    0.7365 |     1.496 |     1.247 |     1.333 |
+#&gt; |    F| Forward Diff. |    -21.31 |    0.8191 |    0.2022 |    0.1018 |
+#&gt; |.....................|    0.1327 |    -4.505 |    -1.303 |    -1.202 |
+#&gt; |.....................|    -2.080 |    -2.304 |   -0.3706 |   -0.4948 |
+#&gt; |<span style='font-weight: bold;'>   51</span>|     476.56836 |     1.004 |    -1.424 |   -0.9336 |   -0.9183 |
+#&gt; |.....................|   -0.8856 |   -0.2810 |   -0.7637 |   -0.9206 |
+#&gt; |.....................|    -1.004 |   -0.6303 |   -0.6962 |   -0.6148 |
+#&gt; |    U|     476.56836 |     93.36 |    -5.724 |   -0.9609 |   -0.1338 |
+#&gt; |.....................|     2.260 |     1.552 |   0.03192 |    0.7265 |
+#&gt; |.....................|    0.7619 |     1.502 |     1.254 |     1.345 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.56836</span> |     93.36 |  0.003266 |    0.2767 |    0.8747 |
+#&gt; |.....................|     9.581 |     1.552 |   0.03192 |    0.7265 |
+#&gt; |.....................|    0.7619 |     1.502 |     1.254 |     1.345 |
+#&gt; |<span style='font-weight: bold;'>   52</span>|     476.44457 |     1.002 |    -1.351 |   -0.9326 |   -0.9200 |
+#&gt; |.....................|   -0.8882 |   -0.2885 |   -0.7595 |   -0.8773 |
+#&gt; |.....................|    -1.024 |   -0.6333 |   -0.7001 |   -0.6218 |
+#&gt; |    U|     476.44457 |     93.15 |    -5.651 |   -0.9600 |   -0.1356 |
+#&gt; |.....................|     2.257 |     1.548 |   0.03198 |    0.7594 |
+#&gt; |.....................|    0.7451 |     1.499 |     1.249 |     1.337 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.44457</span> |     93.15 |  0.003514 |    0.2769 |    0.8732 |
+#&gt; |.....................|     9.556 |     1.548 |   0.03198 |    0.7594 |
+#&gt; |.....................|    0.7451 |     1.499 |     1.249 |     1.337 |
+#&gt; |    F| Forward Diff. |     15.82 |    0.7276 |    0.3571 |    0.1746 |
+#&gt; |.....................|    0.4004 |    -4.436 |   -0.9222 |    -1.572 |
+#&gt; |.....................|    -1.287 |    -2.164 |   -0.2873 |   -0.3883 |
+#&gt; |<span style='font-weight: bold;'>   53</span>|     476.40417 |     1.000 |    -1.371 |   -0.9349 |   -0.9209 |
+#&gt; |.....................|   -0.8904 |   -0.2869 |   -0.7634 |   -0.8782 |
+#&gt; |.....................|    -1.024 |   -0.6262 |   -0.7046 |   -0.6250 |
+#&gt; |    U|     476.40417 |     93.02 |    -5.671 |   -0.9622 |   -0.1365 |
+#&gt; |.....................|     2.255 |     1.549 |   0.03192 |    0.7587 |
+#&gt; |.....................|    0.7444 |     1.507 |     1.245 |     1.334 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.40417</span> |     93.02 |  0.003446 |    0.2764 |    0.8724 |
+#&gt; |.....................|     9.535 |     1.549 |   0.03192 |    0.7587 |
+#&gt; |.....................|    0.7444 |     1.507 |     1.245 |     1.334 |
+#&gt; |<span style='font-weight: bold;'>   54</span>|     476.37918 |     1.000 |    -1.391 |   -0.9372 |   -0.9218 |
+#&gt; |.....................|   -0.8927 |   -0.2856 |   -0.7675 |   -0.8792 |
+#&gt; |.....................|    -1.025 |   -0.6191 |   -0.7092 |   -0.6283 |
+#&gt; |    U|     476.37918 |     93.03 |    -5.691 |   -0.9644 |   -0.1374 |
+#&gt; |.....................|     2.253 |     1.549 |   0.03186 |    0.7580 |
+#&gt; |.....................|    0.7434 |     1.516 |     1.240 |     1.330 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.37918</span> |     93.03 |  0.003376 |    0.2760 |    0.8716 |
+#&gt; |.....................|     9.513 |     1.549 |   0.03186 |    0.7580 |
+#&gt; |.....................|    0.7434 |     1.516 |     1.240 |     1.330 |
+#&gt; |<span style='font-weight: bold;'>   55</span>|     476.33357 |     1.001 |    -1.461 |   -0.9453 |   -0.9249 |
+#&gt; |.....................|   -0.9004 |   -0.2814 |   -0.7818 |   -0.8827 |
+#&gt; |.....................|    -1.029 |   -0.5944 |   -0.7253 |   -0.6399 |
+#&gt; |    U|     476.33357 |     93.07 |    -5.761 |   -0.9719 |   -0.1405 |
+#&gt; |.....................|     2.245 |     1.552 |   0.03165 |    0.7553 |
+#&gt; |.....................|    0.7403 |     1.546 |     1.222 |     1.318 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.33357</span> |     93.07 |  0.003146 |    0.2745 |    0.8689 |
+#&gt; |.....................|     9.440 |     1.552 |   0.03165 |    0.7553 |
+#&gt; |.....................|    0.7403 |     1.546 |     1.222 |     1.318 |
+#&gt; |    F| Forward Diff. |    -1.553 |    0.4475 |   -0.2195 |   0.07220 |
+#&gt; |.....................|   0.05655 |    -4.350 |    -1.061 |    -1.750 |
+#&gt; |.....................|    0.1436 |   -0.4527 |    -1.673 |    -1.245 |
+#&gt; |<span style='font-weight: bold;'>   56</span>|     476.20746 |     1.002 |    -1.571 |   -0.9452 |   -0.9313 |
+#&gt; |.....................|   -0.9123 |   -0.2680 |   -0.8139 |   -0.8382 |
+#&gt; |.....................|    -1.032 |   -0.6009 |   -0.7081 |   -0.6381 |
+#&gt; |    U|     476.20746 |     93.20 |    -5.871 |   -0.9719 |   -0.1469 |
+#&gt; |.....................|     2.233 |     1.560 |   0.03117 |    0.7891 |
+#&gt; |.....................|    0.7373 |     1.538 |     1.241 |     1.320 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.20746</span> |     93.20 |  0.002821 |    0.2745 |    0.8634 |
+#&gt; |.....................|     9.328 |     1.560 |   0.03117 |    0.7891 |
+#&gt; |.....................|    0.7373 |     1.538 |     1.241 |     1.320 |
+#&gt; |    F| Forward Diff. |     12.15 |    0.1791 |  -0.01894 | -0.004675 |
+#&gt; |.....................|  -0.06593 |    -5.850 |    -1.512 |    -1.794 |
+#&gt; |.....................|    -1.396 |    -1.647 |   -0.7085 |    -1.309 |
+#&gt; |<span style='font-weight: bold;'>   57</span>|     476.15444 |     1.000 |    -1.669 |   -0.9317 |   -0.9229 |
+#&gt; |.....................|   -0.8889 |   -0.2480 |   -0.8424 |   -0.7961 |
+#&gt; |.....................|    -1.030 |   -0.6117 |   -0.7275 |   -0.5959 |
+#&gt; |    U|     476.15444 |     93.03 |    -5.969 |   -0.9591 |   -0.1385 |
+#&gt; |.....................|     2.256 |     1.572 |   0.03074 |    0.8211 |
+#&gt; |.....................|    0.7395 |     1.525 |     1.220 |     1.365 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.15444</span> |     93.03 |  0.002558 |    0.2771 |    0.8707 |
+#&gt; |.....................|     9.549 |     1.572 |   0.03074 |    0.8211 |
+#&gt; |.....................|    0.7395 |     1.525 |     1.220 |     1.365 |
+#&gt; |    F| Forward Diff. |    -13.97 |  -0.09883 |    0.5245 |    0.1410 |
+#&gt; |.....................|    0.5845 |    -3.407 |    -1.272 |   -0.2800 |
+#&gt; |.....................|    0.9652 |    -1.487 |    -1.684 |    0.3572 |
+#&gt; |<span style='font-weight: bold;'>   58</span>|     476.18235 |     1.000 |    -1.690 |   -0.9781 |   -0.8961 |
+#&gt; |.....................|   -0.8818 |   -0.1915 |   -0.8548 |   -0.7635 |
+#&gt; |.....................|    -1.041 |   -0.6068 |   -0.6702 |   -0.6625 |
+#&gt; |    U|     476.18235 |     93.04 |    -5.990 |    -1.003 |   -0.1117 |
+#&gt; |.....................|     2.264 |     1.606 |   0.03055 |    0.8458 |
+#&gt; |.....................|    0.7299 |     1.531 |     1.281 |     1.294 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.18235</span> |     93.04 |  0.002505 |    0.2684 |    0.8943 |
+#&gt; |.....................|     9.617 |     1.606 |   0.03055 |    0.8458 |
+#&gt; |.....................|    0.7299 |     1.531 |     1.281 |     1.294 |
+#&gt; |<span style='font-weight: bold;'>   59</span>|     476.08231 |     1.003 |    -1.678 |   -0.9530 |   -0.9107 |
+#&gt; |.....................|   -0.8858 |   -0.2215 |   -0.8479 |   -0.7811 |
+#&gt; |.....................|    -1.035 |   -0.6092 |   -0.7010 |   -0.6265 |
+#&gt; |    U|     476.08231 |     93.25 |    -5.978 |   -0.9792 |   -0.1263 |
+#&gt; |.....................|     2.260 |     1.588 |   0.03066 |    0.8325 |
+#&gt; |.....................|    0.7350 |     1.528 |     1.248 |     1.332 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.08231</span> |     93.25 |  0.002533 |    0.2730 |    0.8814 |
+#&gt; |.....................|     9.579 |     1.588 |   0.03066 |    0.8325 |
+#&gt; |.....................|    0.7350 |     1.528 |     1.248 |     1.332 |
+#&gt; |    F| Forward Diff. |     18.25 |  -0.08933 |   -0.2508 |    0.5157 |
+#&gt; |.....................|    0.8830 |    -3.835 |    -1.133 |    -1.026 |
+#&gt; |.....................|    -1.010 |    -2.153 |   -0.2439 |    -1.007 |
+#&gt; |<span style='font-weight: bold;'>   60</span>|     476.03808 |     1.001 |    -1.672 |   -0.9320 |   -0.9310 |
+#&gt; |.....................|   -0.9291 |   -0.2079 |   -0.8419 |   -0.7733 |
+#&gt; |.....................|    -1.039 |   -0.6026 |   -0.6913 |   -0.6380 |
+#&gt; |    U|     476.03808 |     93.13 |    -5.972 |   -0.9594 |   -0.1466 |
+#&gt; |.....................|     2.216 |     1.596 |   0.03074 |    0.8384 |
+#&gt; |.....................|    0.7314 |     1.536 |     1.259 |     1.320 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.03808</span> |     93.13 |  0.002548 |    0.2770 |    0.8636 |
+#&gt; |.....................|     9.173 |     1.596 |   0.03074 |    0.8384 |
+#&gt; |.....................|    0.7314 |     1.536 |     1.259 |     1.320 |
+#&gt; |    F| Forward Diff. |    -5.407 |  -0.06545 |    0.6727 |   0.05373 |
+#&gt; |.....................|   -0.4541 |    -1.330 |   -0.5709 |   -0.1224 |
+#&gt; |.....................|   -0.8702 |    -1.228 |    0.2640 |    -1.506 |
+#&gt; |<span style='font-weight: bold;'>   61</span>|     476.03300 |     1.003 |    -1.664 |   -0.9621 |   -0.9598 |
+#&gt; |.....................|   -0.9520 |   -0.2020 |   -0.8337 |   -0.7650 |
+#&gt; |.....................|    -1.042 |   -0.6106 |   -0.7076 |   -0.6154 |
+#&gt; |    U|       476.033 |     93.29 |    -5.964 |   -0.9878 |   -0.1754 |
+#&gt; |.....................|     2.193 |     1.599 |   0.03087 |    0.8447 |
+#&gt; |.....................|    0.7289 |     1.526 |     1.241 |     1.344 |
+#&gt; |    X|<span style='font-weight: bold;'>       476.033</span> |     93.29 |  0.002569 |    0.2714 |    0.8391 |
+#&gt; |.....................|     8.966 |     1.599 |   0.03087 |    0.8447 |
+#&gt; |.....................|    0.7289 |     1.526 |     1.241 |     1.344 |
+#&gt; |    F| Forward Diff. |     15.25 | -0.008049 |   -0.5780 |   -0.5632 |
+#&gt; |.....................|   -0.9601 |   -0.9870 |   -0.1614 |  -0.08306 |
+#&gt; |.....................|    0.3446 |    -1.564 |   -0.5735 |   -0.5777 |
+#&gt; |<span style='font-weight: bold;'>   62</span>|     475.98457 |     1.001 |    -1.657 |   -0.9620 |   -0.9650 |
+#&gt; |.....................|   -0.9284 |   -0.2016 |   -0.8312 |   -0.7567 |
+#&gt; |.....................|    -1.045 |   -0.6004 |   -0.7091 |   -0.6133 |
+#&gt; |    U|     475.98457 |     93.13 |    -5.957 |   -0.9877 |   -0.1806 |
+#&gt; |.....................|     2.217 |     1.600 |   0.03091 |    0.8511 |
+#&gt; |.....................|    0.7262 |     1.538 |     1.240 |     1.346 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.98457</span> |     93.13 |  0.002588 |    0.2714 |    0.8347 |
+#&gt; |.....................|     9.180 |     1.600 |   0.03091 |    0.8511 |
+#&gt; |.....................|    0.7262 |     1.538 |     1.240 |     1.346 |
+#&gt; |<span style='font-weight: bold;'>   63</span>|     475.96536 |     1.003 |    -1.649 |   -0.9620 |   -0.9705 |
+#&gt; |.....................|   -0.9043 |   -0.2014 |   -0.8286 |   -0.7480 |
+#&gt; |.....................|    -1.048 |   -0.5903 |   -0.7109 |   -0.6113 |
+#&gt; |    U|     475.96536 |     93.24 |    -5.949 |   -0.9876 |   -0.1861 |
+#&gt; |.....................|     2.241 |     1.600 |   0.03094 |    0.8576 |
+#&gt; |.....................|    0.7235 |     1.551 |     1.238 |     1.349 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.96536</span> |     93.24 |  0.002608 |    0.2714 |    0.8302 |
+#&gt; |.....................|     9.403 |     1.600 |   0.03094 |    0.8576 |
+#&gt; |.....................|    0.7235 |     1.551 |     1.238 |     1.349 |
+#&gt; |<span style='font-weight: bold;'>   64</span>|     476.05821 |     1.003 |    -1.627 |   -0.9618 |   -0.9866 |
+#&gt; |.....................|   -0.8332 |   -0.2007 |   -0.8211 |   -0.7226 |
+#&gt; |.....................|    -1.057 |   -0.5602 |   -0.7159 |   -0.6052 |
+#&gt; |    U|     476.05821 |     93.28 |    -5.927 |   -0.9874 |   -0.2022 |
+#&gt; |.....................|     2.312 |     1.600 |   0.03106 |    0.8769 |
+#&gt; |.....................|    0.7156 |     1.587 |     1.233 |     1.355 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.05821</span> |     93.28 |  0.002666 |    0.2714 |    0.8169 |
+#&gt; |.....................|     10.10 |     1.600 |   0.03106 |    0.8769 |
+#&gt; |.....................|    0.7156 |     1.587 |     1.233 |     1.355 |
+#&gt; |    F| Forward Diff. |     11.90 |   0.05098 |   -0.6601 |   -0.8657 |
+#&gt; |.....................|    0.4347 |   -0.9523 |   -0.3178 |   -0.1283 |
+#&gt; |.....................|   -0.1024 |   -0.7800 |   -0.7284 |   -0.4981 |
+#&gt; |<span style='font-weight: bold;'>   65</span>|     476.00714 |     1.001 |    -1.643 |   -0.9512 |   -0.8390 |
+#&gt; |.....................|   -0.8932 |   -0.2051 |   -0.7956 |   -0.7365 |
+#&gt; |.....................|    -1.045 |   -0.5599 |   -0.7127 |   -0.5744 |
+#&gt; |    U|     476.00714 |     93.11 |    -5.943 |   -0.9775 |  -0.05460 |
+#&gt; |.....................|     2.252 |     1.598 |   0.03144 |    0.8663 |
+#&gt; |.....................|    0.7264 |     1.588 |     1.236 |     1.388 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.00714</span> |     93.11 |  0.002624 |    0.2734 |    0.9469 |
+#&gt; |.....................|     9.508 |     1.598 |   0.03144 |    0.8663 |
+#&gt; |.....................|    0.7264 |     1.588 |     1.236 |     1.388 |
+#&gt; |<span style='font-weight: bold;'>   66</span>|     475.93814 |     1.000 |    -1.647 |   -0.9575 |   -0.9171 |
+#&gt; |.....................|   -0.8999 |   -0.2027 |   -0.8152 |   -0.7434 |
+#&gt; |.....................|    -1.047 |   -0.5779 |   -0.7115 |   -0.5963 |
+#&gt; |    U|     475.93814 |     93.01 |    -5.947 |   -0.9834 |   -0.1327 |
+#&gt; |.....................|     2.245 |     1.599 |   0.03115 |    0.8612 |
+#&gt; |.....................|    0.7247 |     1.566 |     1.237 |     1.365 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.93814</span> |     93.01 |  0.002614 |    0.2722 |    0.8757 |
+#&gt; |.....................|     9.445 |     1.599 |   0.03115 |    0.8612 |
+#&gt; |.....................|    0.7247 |     1.566 |     1.237 |     1.365 |
+#&gt; |    F| Forward Diff. |    -23.67 |   0.03897 |   -0.7058 |    0.2979 |
+#&gt; |.....................|    0.2507 |   -0.5051 |   -0.4675 |  -0.05050 |
+#&gt; |.....................|    -1.329 |   -0.1594 |   -0.7628 |    0.1885 |
+#&gt; |<span style='font-weight: bold;'>   67</span>|     475.98668 |     1.003 |    -1.653 |   -0.9119 |   -0.8938 |
+#&gt; |.....................|   -0.8940 |   -0.2050 |   -0.7980 |   -0.7479 |
+#&gt; |.....................|    -1.040 |   -0.5617 |   -0.7056 |   -0.5853 |
+#&gt; |    U|     475.98668 |     93.26 |    -5.953 |   -0.9406 |   -0.1094 |
+#&gt; |.....................|     2.251 |     1.598 |   0.03140 |    0.8577 |
+#&gt; |.....................|    0.7310 |     1.586 |     1.243 |     1.376 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.98668</span> |     93.26 |  0.002598 |    0.2808 |    0.8964 |
+#&gt; |.....................|     9.501 |     1.598 |   0.03140 |    0.8577 |
+#&gt; |.....................|    0.7310 |     1.586 |     1.243 |     1.376 |
+#&gt; |<span style='font-weight: bold;'>   68</span>|     475.93401 |     1.003 |    -1.649 |   -0.9419 |   -0.9092 |
+#&gt; |.....................|   -0.8979 |   -0.2035 |   -0.8093 |   -0.7449 |
+#&gt; |.....................|    -1.044 |   -0.5723 |   -0.7094 |   -0.5925 |
+#&gt; |    U|     475.93401 |     93.26 |    -5.949 |   -0.9687 |   -0.1248 |
+#&gt; |.....................|     2.247 |     1.599 |   0.03123 |    0.8600 |
+#&gt; |.....................|    0.7270 |     1.573 |     1.239 |     1.369 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.93401</span> |     93.26 |  0.002609 |    0.2751 |    0.8827 |
+#&gt; |.....................|     9.464 |     1.599 |   0.03123 |    0.8600 |
+#&gt; |.....................|    0.7270 |     1.573 |     1.239 |     1.369 |
+#&gt; |    F| Forward Diff. |     21.62 |   0.03755 |    0.3553 |    0.5344 |
+#&gt; |.....................|    0.5780 |   -0.8226 |   -0.2181 |   -0.2167 |
+#&gt; |.....................|    -1.049 |  0.002537 |   -0.7279 |    0.2347 |
+#&gt; |<span style='font-weight: bold;'>   69</span>|     475.92580 |     1.001 |    -1.653 |   -0.9417 |   -0.9124 |
+#&gt; |.....................|   -0.8966 |   -0.2037 |   -0.8058 |   -0.7501 |
+#&gt; |.....................|    -1.041 |   -0.5739 |   -0.7048 |   -0.5926 |
+#&gt; |    U|      475.9258 |     93.12 |    -5.953 |   -0.9686 |   -0.1280 |
+#&gt; |.....................|     2.249 |     1.598 |   0.03129 |    0.8560 |
+#&gt; |.....................|    0.7297 |     1.571 |     1.244 |     1.369 |
+#&gt; |    X|<span style='font-weight: bold;'>      475.9258</span> |     93.12 |  0.002598 |    0.2752 |    0.8798 |
+#&gt; |.....................|     9.476 |     1.598 |   0.03129 |    0.8560 |
+#&gt; |.....................|    0.7297 |     1.571 |     1.244 |     1.369 |
+#&gt; |    F| Forward Diff. |    -1.238 |  0.003180 |    0.2025 |    0.4289 |
+#&gt; |.....................|    0.4493 |   -0.2935 |   -0.2270 |   -0.1209 |
+#&gt; |.....................|    0.3327 |  -0.04065 |   -0.4864 |    0.2705 |
+#&gt; |<span style='font-weight: bold;'>   70</span>|     475.92421 |     1.002 |    -1.655 |   -0.9475 |   -0.9180 |
+#&gt; |.....................|   -0.8971 |   -0.2051 |   -0.8017 |   -0.7499 |
+#&gt; |.....................|    -1.041 |   -0.5760 |   -0.7024 |   -0.5951 |
+#&gt; |    U|     475.92421 |     93.14 |    -5.955 |   -0.9740 |   -0.1336 |
+#&gt; |.....................|     2.248 |     1.598 |   0.03135 |    0.8562 |
+#&gt; |.....................|    0.7299 |     1.568 |     1.247 |     1.366 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.92421</span> |     93.14 |  0.002593 |    0.2741 |    0.8749 |
+#&gt; |.....................|     9.472 |     1.598 |   0.03135 |    0.8562 |
+#&gt; |.....................|    0.7299 |     1.568 |     1.247 |     1.366 |
+#&gt; |    F| Forward Diff. |     1.572 | 0.0005078 |  -0.07939 |    0.3039 |
+#&gt; |.....................|    0.4520 |   -0.5123 |   -0.2298 |   -0.1955 |
+#&gt; |.....................|    0.3506 |   -0.1759 |   -0.3471 |    0.1717 |
+#&gt; |<span style='font-weight: bold;'>   71</span>|     475.91356 |     1.001 |    -1.654 |   -0.9476 |   -0.9223 |
+#&gt; |.....................|   -0.8992 |   -0.2071 |   -0.7965 |   -0.7440 |
+#&gt; |.....................|    -1.043 |   -0.5749 |   -0.7035 |   -0.5974 |
+#&gt; |    U|     475.91356 |     93.12 |    -5.954 |   -0.9741 |   -0.1379 |
+#&gt; |.....................|     2.246 |     1.596 |   0.03143 |    0.8607 |
+#&gt; |.....................|    0.7278 |     1.569 |     1.246 |     1.363 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.91356</span> |     93.12 |  0.002596 |    0.2741 |    0.8712 |
+#&gt; |.....................|     9.452 |     1.596 |   0.03143 |    0.8607 |
+#&gt; |.....................|    0.7278 |     1.569 |     1.246 |     1.363 |
+#&gt; |<span style='font-weight: bold;'>   72</span>|     475.89054 |     1.001 |    -1.650 |   -0.9479 |   -0.9349 |
+#&gt; |.....................|   -0.9054 |   -0.2136 |   -0.7808 |   -0.7261 |
+#&gt; |.....................|    -1.051 |   -0.5716 |   -0.7071 |   -0.6043 |
+#&gt; |    U|     475.89054 |     93.11 |    -5.950 |   -0.9744 |   -0.1505 |
+#&gt; |.....................|     2.240 |     1.592 |   0.03166 |    0.8742 |
+#&gt; |.....................|    0.7214 |     1.574 |     1.242 |     1.356 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.89054</span> |     93.11 |  0.002606 |    0.2740 |    0.8602 |
+#&gt; |.....................|     9.393 |     1.592 |   0.03166 |    0.8742 |
+#&gt; |.....................|    0.7214 |     1.574 |     1.242 |     1.356 |
+#&gt; |    F| Forward Diff. |    -3.467 |   0.05330 |   -0.1133 |   -0.1045 |
+#&gt; |.....................|    0.1362 |   -0.3304 |   -0.2172 |   0.04726 |
+#&gt; |.....................|    -1.416 |   0.08323 |   -0.4566 |   -0.2851 |
+#&gt; |<span style='font-weight: bold;'>   73</span>|     476.06529 |     1.002 |    -1.688 |   -0.8959 |   -0.9784 |
+#&gt; |.....................|   -0.9076 |   -0.2354 |   -0.6823 |   -0.7302 |
+#&gt; |.....................|    -1.035 |   -0.5603 |   -0.6700 |   -0.6079 |
+#&gt; |    U|     476.06529 |     93.20 |    -5.988 |   -0.9255 |   -0.1940 |
+#&gt; |.....................|     2.238 |     1.579 |   0.03314 |    0.8712 |
+#&gt; |.....................|    0.7347 |     1.587 |     1.281 |     1.352 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.06529</span> |     93.20 |  0.002510 |    0.2838 |    0.8236 |
+#&gt; |.....................|     9.372 |     1.579 |   0.03314 |    0.8712 |
+#&gt; |.....................|    0.7347 |     1.587 |     1.281 |     1.352 |
+#&gt; |<span style='font-weight: bold;'>   74</span>|     475.89054 |     1.001 |    -1.650 |   -0.9479 |   -0.9349 |
+#&gt; |.....................|   -0.9054 |   -0.2136 |   -0.7808 |   -0.7261 |
+#&gt; |.....................|    -1.051 |   -0.5716 |   -0.7071 |   -0.6043 |
+#&gt; |    U|     475.89054 |     93.11 |    -5.950 |   -0.9744 |   -0.1505 |
+#&gt; |.....................|     2.240 |     1.592 |   0.03166 |    0.8742 |
+#&gt; |.....................|    0.7214 |     1.574 |     1.242 |     1.356 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.89054</span> |     93.11 |  0.002606 |    0.2740 |    0.8602 |
+#&gt; |.....................|     9.393 |     1.592 |   0.03166 |    0.8742 |
+#&gt; |.....................|    0.7214 |     1.574 |     1.242 |     1.356 |
+#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'><span class='va'>f_nlmixr_dfop_sfo_focei_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_tc</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"
+#&gt; <span style='font-weight: bold;'>Key:</span> U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
+#&gt; F: Forward difference gradient approximation
+#&gt; C: Central difference gradient approximation
+#&gt; M: Mixed forward and central difference gradient approximation
+#&gt; Unscaled parameters for Omegas=chol(solve(omega));
+#&gt; Diagonals are transformed, as specified by foceiControl(diagXform=)
+#&gt; |-----+---------------+-----------+-----------+-----------+-----------|
+#&gt; |    #| Objective Fun |  parent_0 |  log_k_A1 |f_parent_qlogis |    log_k1 |
+#&gt; |.....................|    log_k2 |  g_qlogis | sigma_low |  rsd_high |
+#&gt; |.....................|        o1 |        o2 |        o3 |        o4 |
+#&gt; <span style='text-decoration: underline;'>|.....................|        o5 |        o6 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    1</span>|     495.48573 |     1.000 |    -1.000 |   -0.9104 |   -0.9376 |
+#&gt; |.....................|   -0.9875 |   -0.8823 |   -0.8746 |   -0.8907 |
+#&gt; |.....................|   -0.8767 |   -0.8731 |   -0.8673 |   -0.8720 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8739 |   -0.8666 |...........|...........|</span>
+#&gt; |    U|     495.48573 |     91.00 |    -5.200 |   -0.8900 |    -2.200 |
+#&gt; |.....................|    -4.600 |    0.4600 |    0.8300 |   0.05800 |
+#&gt; |.....................|    0.7311 |    0.9036 |     1.183 |    0.9554 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.214 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     495.48573</span> |     91.00 |  0.005517 |    0.2911 |    0.1108 |
+#&gt; |.....................|   0.01005 |    0.6130 |    0.8300 |   0.05800 |
+#&gt; |.....................|    0.7311 |    0.9036 |     1.183 |    0.9554 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.8633 |     1.214 |...........|...........|</span>
+#&gt; |    G|    Gill Diff. |   -0.9650 |     2.223 |   -0.3153 |  -0.01817 |
+#&gt; |.....................|   -0.3350 |    0.6789 |    -29.17 |    -19.58 |
+#&gt; |.....................|    0.9642 |     9.851 |    -11.94 |    -1.319 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     8.578 |    -12.45 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    2</span>|     487.27153 |     1.023 |    -1.054 |   -0.9028 |   -0.9372 |
+#&gt; |.....................|   -0.9794 |   -0.8987 |   -0.1695 |   -0.4175 |
+#&gt; |.....................|   -0.9000 |    -1.111 |   -0.5788 |   -0.8401 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.081 |   -0.5657 |...........|...........|</span>
+#&gt; |    U|     487.27153 |     93.12 |    -5.254 |   -0.8832 |    -2.200 |
+#&gt; |.....................|    -4.592 |    0.4525 |     1.123 |   0.07172 |
+#&gt; |.....................|    0.7141 |    0.6884 |     1.525 |    0.9859 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6843 |     1.580 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     487.27153</span> |     93.12 |  0.005228 |    0.2925 |    0.1109 |
+#&gt; |.....................|   0.01013 |    0.6112 |     1.123 |   0.07172 |
+#&gt; |.....................|    0.7141 |    0.6884 |     1.525 |    0.9859 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6843 |     1.580 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     131.2 |     1.375 |     2.844 |   -0.2311 |
+#&gt; |.....................|    0.2724 |    0.4206 |     9.234 |     14.82 |
+#&gt; |.....................|   -0.3432 |    -1.547 |    -2.137 |     2.699 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -4.845 |    -6.389 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    3</span>|     3806.3530 |    0.1967 |    -1.082 |   -0.9181 |   -0.9356 |
+#&gt; |.....................|   -0.9782 |   -0.9073 |   0.02635 |   -0.3409 |
+#&gt; |.....................|   -0.9062 |    -1.204 |   -0.4610 |   -0.8458 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.125 |   -0.4164 |...........|...........|</span>
+#&gt; |    U|      3806.353 |     17.90 |    -5.282 |   -0.8969 |    -2.198 |
+#&gt; |.....................|    -4.591 |    0.4485 |     1.204 |   0.07394 |
+#&gt; |.....................|    0.7095 |    0.6043 |     1.664 |    0.9805 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6463 |     1.761 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      3806.353</span> |     17.90 |  0.005083 |    0.2897 |    0.1110 |
+#&gt; |.....................|   0.01015 |    0.6103 |     1.204 |   0.07394 |
+#&gt; |.....................|    0.7095 |    0.6043 |     1.664 |    0.9805 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6463 |     1.761 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    4</span>|     498.29847 |    0.9363 |    -1.055 |   -0.9047 |   -0.9370 |
+#&gt; |.....................|   -0.9796 |   -0.8990 |   -0.1756 |   -0.4273 |
+#&gt; |.....................|   -0.8998 |    -1.110 |   -0.5773 |   -0.8419 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.078 |   -0.5615 |...........|...........|</span>
+#&gt; |    U|     498.29847 |     85.20 |    -5.255 |   -0.8849 |    -2.199 |
+#&gt; |.....................|    -4.592 |    0.4523 |     1.120 |   0.07144 |
+#&gt; |.....................|    0.7142 |    0.6894 |     1.526 |    0.9842 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6871 |     1.585 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     498.29847</span> |     85.20 |  0.005223 |    0.2922 |    0.1109 |
+#&gt; |.....................|   0.01013 |    0.6112 |     1.120 |   0.07144 |
+#&gt; |.....................|    0.7142 |    0.6894 |     1.526 |    0.9842 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6871 |     1.585 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    5</span>|     485.66266 |     1.001 |    -1.054 |   -0.9033 |   -0.9372 |
+#&gt; |.....................|   -0.9795 |   -0.8988 |   -0.1711 |   -0.4200 |
+#&gt; |.....................|   -0.8999 |    -1.111 |   -0.5784 |   -0.8406 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.080 |   -0.5646 |...........|...........|</span>
+#&gt; |    U|     485.66266 |     91.08 |    -5.254 |   -0.8836 |    -2.200 |
+#&gt; |.....................|    -4.592 |    0.4524 |     1.122 |   0.07165 |
+#&gt; |.....................|    0.7141 |    0.6887 |     1.525 |    0.9855 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6850 |     1.581 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     485.66266</span> |     91.08 |  0.005227 |    0.2924 |    0.1109 |
+#&gt; |.....................|   0.01013 |    0.6112 |     1.122 |   0.07165 |
+#&gt; |.....................|    0.7141 |    0.6887 |     1.525 |    0.9855 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6850 |     1.581 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     5.221 |     1.276 |    0.8286 |   0.07146 |
+#&gt; |.....................|    0.3378 |    0.6177 |     8.950 |     14.42 |
+#&gt; |.....................|    -2.232 |    -2.934 |    -2.090 |     2.822 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -4.031 |    -6.085 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    6</span>|     485.32609 |    0.9950 |    -1.055 |   -0.9042 |   -0.9372 |
+#&gt; |.....................|   -0.9799 |   -0.8995 |   -0.1813 |   -0.4364 |
+#&gt; |.....................|   -0.8974 |    -1.108 |   -0.5760 |   -0.8438 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.076 |   -0.5577 |...........|...........|</span>
+#&gt; |    U|     485.32609 |     90.54 |    -5.255 |   -0.8845 |    -2.200 |
+#&gt; |.....................|    -4.592 |    0.4521 |     1.118 |   0.07117 |
+#&gt; |.....................|    0.7160 |    0.6917 |     1.528 |    0.9824 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6890 |     1.589 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     485.32609</span> |     90.54 |  0.005219 |    0.2922 |    0.1108 |
+#&gt; |.....................|   0.01013 |    0.6111 |     1.118 |   0.07117 |
+#&gt; |.....................|    0.7160 |    0.6917 |     1.528 |    0.9824 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6890 |     1.589 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -30.72 |     1.256 |    0.2407 |    0.1468 |
+#&gt; |.....................|    0.3576 |    0.6982 |     8.550 |     13.79 |
+#&gt; |.....................|    -2.152 |    -3.092 |    -1.869 |     2.672 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -3.399 |    -5.827 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    7</span>|     484.94767 |     1.003 |    -1.055 |   -0.9045 |   -0.9373 |
+#&gt; |.....................|   -0.9801 |   -0.8996 |   -0.1956 |   -0.4497 |
+#&gt; |.....................|   -0.8963 |    -1.103 |   -0.5795 |   -0.8455 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.071 |   -0.5595 |...........|...........|</span>
+#&gt; |    U|     484.94767 |     91.28 |    -5.255 |   -0.8848 |    -2.200 |
+#&gt; |.....................|    -4.593 |    0.4521 |     1.112 |   0.07079 |
+#&gt; |.....................|    0.7168 |    0.6961 |     1.524 |    0.9808 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6930 |     1.587 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     484.94767</span> |     91.28 |  0.005220 |    0.2922 |    0.1108 |
+#&gt; |.....................|   0.01013 |    0.6111 |     1.112 |   0.07079 |
+#&gt; |.....................|    0.7168 |    0.6961 |     1.524 |    0.9808 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6930 |     1.587 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     16.95 |     1.308 |    0.9181 |   0.03760 |
+#&gt; |.....................|    0.3308 |    0.6549 |     8.124 |     13.74 |
+#&gt; |.....................|    -1.975 |    -2.369 |    -2.107 |     2.437 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -3.334 |    -5.928 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    8</span>|     484.63747 |    0.9965 |    -1.055 |   -0.9051 |   -0.9373 |
+#&gt; |.....................|   -0.9805 |   -0.8998 |   -0.2100 |   -0.4642 |
+#&gt; |.....................|   -0.8952 |    -1.098 |   -0.5823 |   -0.8472 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.5602 |...........|...........|</span>
+#&gt; |    U|     484.63747 |     90.68 |    -5.255 |   -0.8853 |    -2.200 |
+#&gt; |.....................|    -4.593 |    0.4520 |     1.106 |   0.07037 |
+#&gt; |.....................|    0.7176 |    0.7002 |     1.521 |    0.9792 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6968 |     1.586 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     484.63747</span> |     90.68 |  0.005220 |    0.2921 |    0.1108 |
+#&gt; |.....................|   0.01012 |    0.6111 |     1.106 |   0.07037 |
+#&gt; |.....................|    0.7176 |    0.7002 |     1.521 |    0.9792 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6968 |     1.586 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -22.67 |     1.288 |    0.2773 |    0.1211 |
+#&gt; |.....................|    0.3459 |    0.7203 |     8.028 |     13.24 |
+#&gt; |.....................|    -1.967 |    -2.555 |    -2.117 |     2.333 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -2.789 |    -5.812 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    9</span>|     484.31288 |     1.003 |    -1.055 |   -0.9054 |   -0.9374 |
+#&gt; |.....................|   -0.9808 |   -0.9000 |   -0.2248 |   -0.4783 |
+#&gt; |.....................|   -0.8942 |    -1.094 |   -0.5856 |   -0.8486 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.063 |   -0.5617 |...........|...........|</span>
+#&gt; |    U|     484.31288 |     91.27 |    -5.255 |   -0.8855 |    -2.200 |
+#&gt; |.....................|    -4.593 |    0.4519 |     1.100 |   0.06996 |
+#&gt; |.....................|    0.7183 |    0.7043 |     1.517 |    0.9778 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7003 |     1.585 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     484.31288</span> |     91.27 |  0.005220 |    0.2920 |    0.1108 |
+#&gt; |.....................|   0.01012 |    0.6111 |     1.100 |   0.06996 |
+#&gt; |.....................|    0.7183 |    0.7043 |     1.517 |    0.9778 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7003 |     1.585 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     16.32 |     1.333 |    0.8110 |   0.03416 |
+#&gt; |.....................|    0.3225 |    0.6774 |     7.502 |     12.95 |
+#&gt; |.....................|    -1.990 |    -1.849 |    -2.190 |     2.193 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -2.714 |    -5.891 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   10</span>|     484.03445 |    0.9966 |    -1.055 |   -0.9058 |   -0.9374 |
+#&gt; |.....................|   -0.9811 |   -0.9003 |   -0.2393 |   -0.4932 |
+#&gt; |.....................|   -0.8929 |    -1.090 |   -0.5881 |   -0.8501 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.059 |   -0.5620 |...........|...........|</span>
+#&gt; |    U|     484.03445 |     90.69 |    -5.255 |   -0.8859 |    -2.200 |
+#&gt; |.....................|    -4.594 |    0.4517 |     1.094 |   0.06953 |
+#&gt; |.....................|    0.7192 |    0.7079 |     1.514 |    0.9764 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7034 |     1.584 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     484.03445</span> |     90.69 |  0.005219 |    0.2919 |    0.1108 |
+#&gt; |.....................|   0.01012 |    0.6110 |     1.094 |   0.06953 |
+#&gt; |.....................|    0.7192 |    0.7079 |     1.514 |    0.9764 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7034 |     1.584 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -23.34 |     1.311 |    0.1997 |    0.1136 |
+#&gt; |.....................|    0.3397 |    0.7422 |     7.043 |     12.17 |
+#&gt; |.....................|    -1.843 |    -2.075 |    -2.300 |     2.141 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -2.235 |    -5.778 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   11</span>|     483.72794 |     1.003 |    -1.056 |   -0.9061 |   -0.9374 |
+#&gt; |.....................|   -0.9815 |   -0.9008 |   -0.2540 |   -0.5081 |
+#&gt; |.....................|   -0.8918 |    -1.086 |   -0.5906 |   -0.8514 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.056 |   -0.5623 |...........|...........|</span>
+#&gt; |    U|     483.72794 |     91.28 |    -5.256 |   -0.8861 |    -2.200 |
+#&gt; |.....................|    -4.594 |    0.4515 |     1.088 |   0.06909 |
+#&gt; |.....................|    0.7200 |    0.7113 |     1.511 |    0.9751 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7061 |     1.584 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     483.72794</span> |     91.28 |  0.005217 |    0.2919 |    0.1108 |
+#&gt; |.....................|   0.01011 |    0.6110 |     1.088 |   0.06909 |
+#&gt; |.....................|    0.7200 |    0.7113 |     1.511 |    0.9751 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7061 |     1.584 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     16.56 |     1.355 |    0.7367 |   0.03002 |
+#&gt; |.....................|    0.3166 |    0.7021 |     6.528 |     11.89 |
+#&gt; |.....................|    -1.880 |    -1.512 |    -2.404 |     1.917 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -2.215 |    -5.846 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   12</span>|     483.44272 |    0.9974 |    -1.057 |   -0.9064 |   -0.9375 |
+#&gt; |.....................|   -0.9820 |   -0.9016 |   -0.2678 |   -0.5243 |
+#&gt; |.....................|   -0.8904 |    -1.083 |   -0.5914 |   -0.8528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.054 |   -0.5601 |...........|...........|</span>
+#&gt; |    U|     483.44272 |     90.76 |    -5.257 |   -0.8865 |    -2.200 |
+#&gt; |.....................|    -4.594 |    0.4511 |     1.082 |   0.06862 |
+#&gt; |.....................|    0.7211 |    0.7141 |     1.510 |    0.9738 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7081 |     1.587 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     483.44272</span> |     90.76 |  0.005212 |    0.2918 |    0.1108 |
+#&gt; |.....................|   0.01011 |    0.6109 |     1.082 |   0.06862 |
+#&gt; |.....................|    0.7211 |    0.7141 |     1.510 |    0.9738 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7081 |     1.587 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -19.50 |     1.332 |    0.2061 |    0.1022 |
+#&gt; |.....................|    0.3336 |    0.7519 |     5.944 |     11.09 |
+#&gt; |.....................|    -1.878 |    -1.675 |    -2.404 |     1.054 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.833 |    -5.715 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   13</span>|     483.13758 |     1.003 |    -1.059 |   -0.9067 |   -0.9375 |
+#&gt; |.....................|   -0.9826 |   -0.9029 |   -0.2791 |   -0.5415 |
+#&gt; |.....................|   -0.8881 |    -1.081 |   -0.5896 |   -0.8508 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.053 |   -0.5541 |...........|...........|</span>
+#&gt; |    U|     483.13758 |     91.30 |    -5.259 |   -0.8867 |    -2.200 |
+#&gt; |.....................|    -4.595 |    0.4505 |     1.077 |   0.06813 |
+#&gt; |.....................|    0.7227 |    0.7157 |     1.512 |    0.9758 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7089 |     1.594 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     483.13758</span> |     91.30 |  0.005202 |    0.2918 |    0.1108 |
+#&gt; |.....................|   0.01010 |    0.6108 |     1.077 |   0.06813 |
+#&gt; |.....................|    0.7227 |    0.7157 |     1.512 |    0.9758 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7089 |     1.594 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     16.83 |     1.368 |    0.7006 |   0.02276 |
+#&gt; |.....................|    0.3159 |    0.7144 |     5.487 |     10.74 |
+#&gt; |.....................|    -1.773 |    -1.125 |    -2.251 |     1.956 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.882 |    -5.671 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   14</span>|     482.85180 |    0.9981 |    -1.062 |   -0.9072 |   -0.9376 |
+#&gt; |.....................|   -0.9834 |   -0.9050 |   -0.2850 |   -0.5582 |
+#&gt; |.....................|   -0.8853 |    -1.082 |   -0.5852 |   -0.8503 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.053 |   -0.5428 |...........|...........|</span>
+#&gt; |    U|      482.8518 |     90.83 |    -5.262 |   -0.8872 |    -2.200 |
+#&gt; |.....................|    -4.596 |    0.4496 |     1.075 |   0.06764 |
+#&gt; |.....................|    0.7248 |    0.7152 |     1.517 |    0.9762 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7084 |     1.607 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      482.8518</span> |     90.83 |  0.005184 |    0.2917 |    0.1108 |
+#&gt; |.....................|   0.01009 |    0.6105 |     1.075 |   0.06764 |
+#&gt; |.....................|    0.7248 |    0.7152 |     1.517 |    0.9762 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7084 |     1.607 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -16.64 |     1.337 |    0.2421 |   0.09047 |
+#&gt; |.....................|    0.3389 |    0.7643 |     5.051 |     10.06 |
+#&gt; |.....................|    -1.787 |    -1.445 |    -2.047 |     2.073 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.627 |    -5.410 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   15</span>|     482.60290 |     1.003 |    -1.066 |   -0.9079 |   -0.9377 |
+#&gt; |.....................|   -0.9844 |   -0.9075 |   -0.2858 |   -0.5723 |
+#&gt; |.....................|   -0.8822 |    -1.083 |   -0.5806 |   -0.8571 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.055 |   -0.5294 |...........|...........|</span>
+#&gt; |    U|      482.6029 |     91.28 |    -5.266 |   -0.8878 |    -2.200 |
+#&gt; |.....................|    -4.597 |    0.4484 |     1.074 |   0.06723 |
+#&gt; |.....................|    0.7271 |    0.7136 |     1.523 |    0.9697 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7072 |     1.624 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      482.6029</span> |     91.28 |  0.005162 |    0.2916 |    0.1108 |
+#&gt; |.....................|   0.01008 |    0.6103 |     1.074 |   0.06723 |
+#&gt; |.....................|    0.7271 |    0.7136 |     1.523 |    0.9697 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7072 |     1.624 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     14.50 |     1.352 |    0.6742 |   0.02192 |
+#&gt; |.....................|    0.3317 |    0.7297 |     4.803 |     9.894 |
+#&gt; |.....................|    -1.694 |    -1.220 |    -2.031 |     1.506 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.722 |    -5.269 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   16</span>|     482.37953 |    0.9987 |    -1.071 |   -0.9090 |   -0.9377 |
+#&gt; |.....................|   -0.9857 |   -0.9106 |   -0.2840 |   -0.5862 |
+#&gt; |.....................|   -0.8787 |    -1.084 |   -0.5758 |   -0.8611 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.056 |   -0.5150 |...........|...........|</span>
+#&gt; |    U|     482.37953 |     90.88 |    -5.271 |   -0.8888 |    -2.200 |
+#&gt; |.....................|    -4.598 |    0.4470 |     1.075 |   0.06683 |
+#&gt; |.....................|    0.7296 |    0.7132 |     1.528 |    0.9659 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7058 |     1.641 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     482.37953</span> |     90.88 |  0.005137 |    0.2914 |    0.1108 |
+#&gt; |.....................|   0.01007 |    0.6099 |     1.075 |   0.06683 |
+#&gt; |.....................|    0.7296 |    0.7132 |     1.528 |    0.9659 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7058 |     1.641 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   17</span>|     482.17662 |    0.9986 |    -1.077 |   -0.9102 |   -0.9378 |
+#&gt; |.....................|   -0.9871 |   -0.9141 |   -0.2800 |   -0.5994 |
+#&gt; |.....................|   -0.8750 |    -1.085 |   -0.5707 |   -0.8654 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.059 |   -0.4996 |...........|...........|</span>
+#&gt; |    U|     482.17662 |     90.88 |    -5.277 |   -0.8898 |    -2.200 |
+#&gt; |.....................|    -4.600 |    0.4454 |     1.077 |   0.06645 |
+#&gt; |.....................|    0.7323 |    0.7123 |     1.534 |    0.9618 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7037 |     1.660 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     482.17662</span> |     90.88 |  0.005108 |    0.2911 |    0.1108 |
+#&gt; |.....................|   0.01006 |    0.6095 |     1.077 |   0.06645 |
+#&gt; |.....................|    0.7323 |    0.7123 |     1.534 |    0.9618 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7037 |     1.660 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   18</span>|     481.54428 |    0.9984 |    -1.097 |   -0.9142 |   -0.9379 |
+#&gt; |.....................|   -0.9921 |   -0.9262 |   -0.2660 |   -0.6456 |
+#&gt; |.....................|   -0.8623 |    -1.088 |   -0.5530 |   -0.8805 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.068 |   -0.4457 |...........|...........|</span>
+#&gt; |    U|     481.54428 |     90.86 |    -5.297 |   -0.8934 |    -2.200 |
+#&gt; |.....................|    -4.605 |    0.4398 |     1.083 |   0.06511 |
+#&gt; |.....................|    0.7417 |    0.7091 |     1.555 |    0.9473 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6961 |     1.725 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     481.54428</span> |     90.86 |  0.005009 |    0.2904 |    0.1108 |
+#&gt; |.....................|   0.01001 |    0.6082 |     1.083 |   0.06511 |
+#&gt; |.....................|    0.7417 |    0.7091 |     1.555 |    0.9473 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6961 |     1.725 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   19</span>|     480.42060 |    0.9980 |    -1.149 |   -0.9249 |   -0.9384 |
+#&gt; |.....................|    -1.006 |   -0.9588 |   -0.2285 |   -0.7695 |
+#&gt; |.....................|   -0.8280 |    -1.098 |   -0.5055 |   -0.9211 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.091 |   -0.3011 |...........|...........|</span>
+#&gt; |    U|      480.4206 |     90.81 |    -5.349 |   -0.9029 |    -2.201 |
+#&gt; |.....................|    -4.618 |    0.4248 |     1.098 |   0.06151 |
+#&gt; |.....................|    0.7667 |    0.7005 |     1.611 |    0.9085 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6759 |     1.901 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      480.4206</span> |     90.81 |  0.004753 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009872 |    0.6046 |     1.098 |   0.06151 |
+#&gt; |.....................|    0.7667 |    0.7005 |     1.611 |    0.9085 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6759 |     1.901 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -36.54 |     1.160 |   -0.4282 |   0.02550 |
+#&gt; |.....................|    0.4248 |    0.7330 |     2.572 |     4.769 |
+#&gt; |.....................|    -1.047 |    -1.982 |     1.244 |    -3.305 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.792 |    -2.494 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   20</span>|     480.52888 |     1.003 |    -1.232 |   -0.9300 |   -0.9345 |
+#&gt; |.....................|    -1.037 |    -1.013 |   -0.2660 |   -0.9542 |
+#&gt; |.....................|   -0.7770 |    -1.021 |   -0.6177 |   -0.7306 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.035 |   -0.1927 |...........|...........|</span>
+#&gt; |    U|     480.52888 |     91.28 |    -5.432 |   -0.9075 |    -2.197 |
+#&gt; |.....................|    -4.649 |    0.3997 |     1.083 |   0.05616 |
+#&gt; |.....................|    0.8040 |    0.7699 |     1.479 |     1.091 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7247 |     2.033 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     480.52888</span> |     91.28 |  0.004374 |    0.2875 |    0.1111 |
+#&gt; |.....................|  0.009571 |    0.5986 |     1.083 |   0.05616 |
+#&gt; |.....................|    0.8040 |    0.7699 |     1.479 |     1.091 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7247 |     2.033 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   21</span>|     479.69850 |     1.004 |    -1.189 |   -0.9273 |   -0.9365 |
+#&gt; |.....................|    -1.020 |   -0.9850 |   -0.2467 |   -0.8583 |
+#&gt; |.....................|   -0.8035 |    -1.061 |   -0.5593 |   -0.8297 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2490 |...........|...........|</span>
+#&gt; |    U|      479.6985 |     91.34 |    -5.389 |   -0.9050 |    -2.199 |
+#&gt; |.....................|    -4.633 |    0.4128 |     1.091 |   0.05894 |
+#&gt; |.....................|    0.7846 |    0.7338 |     1.548 |    0.9959 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6994 |     1.964 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      479.6985</span> |     91.34 |  0.004567 |    0.2880 |    0.1109 |
+#&gt; |.....................|  0.009727 |    0.6018 |     1.091 |   0.05894 |
+#&gt; |.....................|    0.7846 |    0.7338 |     1.548 |    0.9959 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6994 |     1.964 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     5.264 |     1.163 |  -0.05494 |  -0.06753 |
+#&gt; |.....................|    0.3641 |    0.6248 |    0.1998 |     1.877 |
+#&gt; |.....................|   -0.5696 |    0.3809 |    0.8989 |     3.758 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2123 |    -1.578 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   22</span>|     479.87893 |     1.001 |    -1.256 |   -0.9150 |   -0.9312 |
+#&gt; |.....................|    -1.045 |    -1.024 |   -0.2268 |   -0.8946 |
+#&gt; |.....................|   -0.7799 |    -1.052 |   -0.6825 |   -0.8629 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.056 |   -0.2060 |...........|...........|</span>
+#&gt; |    U|     479.87893 |     91.06 |    -5.456 |   -0.8941 |    -2.194 |
+#&gt; |.....................|    -4.658 |    0.3949 |     1.099 |   0.05789 |
+#&gt; |.....................|    0.8019 |    0.7416 |     1.402 |    0.9642 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7063 |     2.016 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.87893</span> |     91.06 |  0.004269 |    0.2903 |    0.1115 |
+#&gt; |.....................|  0.009490 |    0.5975 |     1.099 |   0.05789 |
+#&gt; |.....................|    0.8019 |    0.7416 |     1.402 |    0.9642 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7063 |     2.016 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   23</span>|     479.70356 |    0.9996 |    -1.214 |   -0.9229 |   -0.9346 |
+#&gt; |.....................|    -1.029 |   -0.9992 |   -0.2397 |   -0.8723 |
+#&gt; |.....................|   -0.7947 |    -1.058 |   -0.6038 |   -0.8437 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.061 |   -0.2328 |...........|...........|</span>
+#&gt; |    U|     479.70356 |     90.96 |    -5.414 |   -0.9011 |    -2.197 |
+#&gt; |.....................|    -4.642 |    0.4062 |     1.093 |   0.05853 |
+#&gt; |.....................|    0.7910 |    0.7364 |     1.495 |    0.9825 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7017 |     1.984 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.70356</span> |     90.96 |  0.004455 |    0.2888 |    0.1111 |
+#&gt; |.....................|  0.009639 |    0.6002 |     1.093 |   0.05853 |
+#&gt; |.....................|    0.7910 |    0.7364 |     1.495 |    0.9825 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7017 |     1.984 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   24</span>|     479.71523 |    0.9993 |    -1.201 |   -0.9253 |   -0.9356 |
+#&gt; |.....................|    -1.025 |   -0.9918 |   -0.2436 |   -0.8656 |
+#&gt; |.....................|   -0.7992 |    -1.060 |   -0.5801 |   -0.8379 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.063 |   -0.2408 |...........|...........|</span>
+#&gt; |    U|     479.71523 |     90.93 |    -5.401 |   -0.9032 |    -2.198 |
+#&gt; |.....................|    -4.637 |    0.4096 |     1.092 |   0.05873 |
+#&gt; |.....................|    0.7877 |    0.7349 |     1.523 |    0.9880 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7004 |     1.974 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.71523</span> |     90.93 |  0.004513 |    0.2884 |    0.1110 |
+#&gt; |.....................|  0.009685 |    0.6010 |     1.092 |   0.05873 |
+#&gt; |.....................|    0.7877 |    0.7349 |     1.523 |    0.9880 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.7004 |     1.974 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   25</span>|     479.73471 |    0.9991 |    -1.194 |   -0.9266 |   -0.9362 |
+#&gt; |.....................|    -1.022 |   -0.9877 |   -0.2457 |   -0.8619 |
+#&gt; |.....................|   -0.8017 |    -1.061 |   -0.5670 |   -0.8347 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2453 |...........|...........|</span>
+#&gt; |    U|     479.73471 |     90.92 |    -5.394 |   -0.9044 |    -2.199 |
+#&gt; |.....................|    -4.635 |    0.4115 |     1.091 |   0.05884 |
+#&gt; |.....................|    0.7859 |    0.7340 |     1.539 |    0.9911 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6996 |     1.969 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.73471</span> |     90.92 |  0.004545 |    0.2881 |    0.1110 |
+#&gt; |.....................|  0.009710 |    0.6015 |     1.091 |   0.05884 |
+#&gt; |.....................|    0.7859 |    0.7340 |     1.539 |    0.9911 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6996 |     1.969 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   26</span>|     479.71271 |     1.001 |    -1.190 |   -0.9273 |   -0.9365 |
+#&gt; |.....................|    -1.021 |   -0.9854 |   -0.2468 |   -0.8594 |
+#&gt; |.....................|   -0.8032 |    -1.061 |   -0.5599 |   -0.8320 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2481 |...........|...........|</span>
+#&gt; |    U|     479.71271 |     91.05 |    -5.390 |   -0.9050 |    -2.199 |
+#&gt; |.....................|    -4.633 |    0.4126 |     1.091 |   0.05891 |
+#&gt; |.....................|    0.7849 |    0.7336 |     1.547 |    0.9937 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6993 |     1.965 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.71271</span> |     91.05 |  0.004564 |    0.2880 |    0.1109 |
+#&gt; |.....................|  0.009725 |    0.6017 |     1.091 |   0.05891 |
+#&gt; |.....................|    0.7849 |    0.7336 |     1.547 |    0.9937 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6993 |     1.965 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   27</span>|     479.69386 |     1.003 |    -1.189 |   -0.9273 |   -0.9365 |
+#&gt; |.....................|    -1.020 |   -0.9851 |   -0.2467 |   -0.8587 |
+#&gt; |.....................|   -0.8034 |    -1.061 |   -0.5595 |   -0.8305 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2487 |...........|...........|</span>
+#&gt; |    U|     479.69386 |     91.24 |    -5.389 |   -0.9050 |    -2.199 |
+#&gt; |.....................|    -4.633 |    0.4127 |     1.091 |   0.05893 |
+#&gt; |.....................|    0.7847 |    0.7338 |     1.548 |    0.9951 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6994 |     1.965 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.69386</span> |     91.24 |  0.004566 |    0.2880 |    0.1109 |
+#&gt; |.....................|  0.009726 |    0.6017 |     1.091 |   0.05893 |
+#&gt; |.....................|    0.7847 |    0.7338 |     1.548 |    0.9951 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6994 |     1.965 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.722 |     1.155 |   -0.1645 |  -0.05121 |
+#&gt; |.....................|    0.3669 |    0.6376 |   0.06785 |     1.772 |
+#&gt; |.....................|   -0.5854 |    0.2936 |    0.9229 |     3.709 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2520 |    -1.579 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   28</span>|     479.68901 |     1.004 |    -1.189 |   -0.9273 |   -0.9365 |
+#&gt; |.....................|    -1.021 |   -0.9853 |   -0.2467 |   -0.8591 |
+#&gt; |.....................|   -0.8033 |    -1.061 |   -0.5597 |   -0.8314 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2483 |...........|...........|</span>
+#&gt; |    U|     479.68901 |     91.32 |    -5.389 |   -0.9050 |    -2.199 |
+#&gt; |.....................|    -4.633 |    0.4126 |     1.091 |   0.05892 |
+#&gt; |.....................|    0.7848 |    0.7337 |     1.547 |    0.9942 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6993 |     1.965 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.68901</span> |     91.32 |  0.004565 |    0.2880 |    0.1109 |
+#&gt; |.....................|  0.009725 |    0.6017 |     1.091 |   0.05892 |
+#&gt; |.....................|    0.7848 |    0.7337 |     1.547 |    0.9942 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6993 |     1.965 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.772 |     1.160 |  -0.07003 |  -0.06455 |
+#&gt; |.....................|    0.3646 |    0.6238 |   0.08418 |     1.806 |
+#&gt; |.....................|   -0.5672 |    0.3711 |    0.9250 |     3.651 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2161 |    -1.579 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   29</span>|     479.68474 |     1.003 |    -1.190 |   -0.9272 |   -0.9365 |
+#&gt; |.....................|    -1.021 |   -0.9854 |   -0.2468 |   -0.8595 |
+#&gt; |.....................|   -0.8031 |    -1.061 |   -0.5600 |   -0.8323 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2479 |...........|...........|</span>
+#&gt; |    U|     479.68474 |     91.24 |    -5.390 |   -0.9050 |    -2.199 |
+#&gt; |.....................|    -4.633 |    0.4126 |     1.091 |   0.05890 |
+#&gt; |.....................|    0.7849 |    0.7336 |     1.547 |    0.9934 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6993 |     1.966 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.68474</span> |     91.24 |  0.004563 |    0.2880 |    0.1109 |
+#&gt; |.....................|  0.009724 |    0.6017 |     1.091 |   0.05890 |
+#&gt; |.....................|    0.7849 |    0.7336 |     1.547 |    0.9934 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6993 |     1.966 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.834 |     1.153 |   -0.1599 |  -0.05010 |
+#&gt; |.....................|    0.3669 |    0.6355 |   0.09191 |     1.764 |
+#&gt; |.....................|   -0.5796 |    0.2889 |     1.006 |     3.561 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2610 |    -1.565 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   30</span>|     479.68016 |     1.004 |    -1.190 |   -0.9272 |   -0.9365 |
+#&gt; |.....................|    -1.021 |   -0.9856 |   -0.2468 |   -0.8600 |
+#&gt; |.....................|   -0.8030 |    -1.061 |   -0.5602 |   -0.8332 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2475 |...........|...........|</span>
+#&gt; |    U|     479.68016 |     91.32 |    -5.390 |   -0.9050 |    -2.199 |
+#&gt; |.....................|    -4.633 |    0.4125 |     1.091 |   0.05889 |
+#&gt; |.....................|    0.7850 |    0.7336 |     1.547 |    0.9926 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6992 |     1.966 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.68016</span> |     91.32 |  0.004562 |    0.2880 |    0.1109 |
+#&gt; |.....................|  0.009723 |    0.6017 |     1.091 |   0.05889 |
+#&gt; |.....................|    0.7850 |    0.7336 |     1.547 |    0.9926 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6992 |     1.966 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.891 |     1.158 |  -0.06530 |  -0.06447 |
+#&gt; |.....................|    0.3645 |    0.6207 |    0.1821 |     1.812 |
+#&gt; |.....................|   -0.5486 |    0.3656 |     1.002 |     3.562 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2233 |    -1.574 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   31</span>|     479.67614 |     1.003 |    -1.190 |   -0.9272 |   -0.9365 |
+#&gt; |.....................|    -1.021 |   -0.9857 |   -0.2468 |   -0.8604 |
+#&gt; |.....................|   -0.8028 |    -1.061 |   -0.5604 |   -0.8341 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2472 |...........|...........|</span>
+#&gt; |    U|     479.67614 |     91.24 |    -5.390 |   -0.9049 |    -2.199 |
+#&gt; |.....................|    -4.633 |    0.4124 |     1.091 |   0.05888 |
+#&gt; |.....................|    0.7851 |    0.7335 |     1.546 |    0.9917 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6992 |     1.966 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.67614</span> |     91.24 |  0.004561 |    0.2880 |    0.1109 |
+#&gt; |.....................|  0.009722 |    0.6017 |     1.091 |   0.05888 |
+#&gt; |.....................|    0.7851 |    0.7335 |     1.546 |    0.9917 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6992 |     1.966 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.915 |     1.151 |   -0.1574 |  -0.04977 |
+#&gt; |.....................|    0.3672 |    0.6321 |   0.06058 |     1.705 |
+#&gt; |.....................|   -0.5691 |    0.2601 |    0.8724 |     3.420 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2638 |    -1.562 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   32</span>|     479.67180 |     1.004 |    -1.191 |   -0.9271 |   -0.9364 |
+#&gt; |.....................|    -1.021 |   -0.9859 |   -0.2469 |   -0.8608 |
+#&gt; |.....................|   -0.8027 |    -1.061 |   -0.5607 |   -0.8349 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2468 |...........|...........|</span>
+#&gt; |    U|      479.6718 |     91.33 |    -5.391 |   -0.9049 |    -2.199 |
+#&gt; |.....................|    -4.633 |    0.4124 |     1.091 |   0.05887 |
+#&gt; |.....................|    0.7852 |    0.7334 |     1.546 |    0.9909 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6991 |     1.967 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      479.6718</span> |     91.33 |  0.004560 |    0.2880 |    0.1109 |
+#&gt; |.....................|  0.009722 |    0.6017 |     1.091 |   0.05887 |
+#&gt; |.....................|    0.7852 |    0.7334 |     1.546 |    0.9909 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6991 |     1.967 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.074 |     1.157 |  -0.05990 |  -0.06452 |
+#&gt; |.....................|    0.3645 |    0.6170 |    0.1286 |     1.744 |
+#&gt; |.....................|   -0.5576 |    0.3161 |    0.9007 |     3.345 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2216 |    -1.572 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   33</span>|     479.66809 |     1.003 |    -1.191 |   -0.9271 |   -0.9364 |
+#&gt; |.....................|    -1.021 |   -0.9860 |   -0.2469 |   -0.8613 |
+#&gt; |.....................|   -0.8026 |    -1.062 |   -0.5609 |   -0.8357 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2464 |...........|...........|</span>
+#&gt; |    U|     479.66809 |     91.23 |    -5.391 |   -0.9049 |    -2.199 |
+#&gt; |.....................|    -4.634 |    0.4123 |     1.091 |   0.05885 |
+#&gt; |.....................|    0.7853 |    0.7334 |     1.546 |    0.9901 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6991 |     1.967 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.66809</span> |     91.23 |  0.004558 |    0.2880 |    0.1109 |
+#&gt; |.....................|  0.009721 |    0.6016 |     1.091 |   0.05885 |
+#&gt; |.....................|    0.7853 |    0.7334 |     1.546 |    0.9901 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6991 |     1.967 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.161 |     1.149 |   -0.1570 |  -0.04911 |
+#&gt; |.....................|    0.3674 |    0.6293 |   0.04215 |     1.668 |
+#&gt; |.....................|   -0.5621 |    0.2625 |    0.8940 |     3.313 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2611 |    -1.561 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   34</span>|     479.66397 |     1.004 |    -1.191 |   -0.9271 |   -0.9364 |
+#&gt; |.....................|    -1.021 |   -0.9862 |   -0.2469 |   -0.8617 |
+#&gt; |.....................|   -0.8024 |    -1.062 |   -0.5611 |   -0.8366 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2460 |...........|...........|</span>
+#&gt; |    U|     479.66397 |     91.33 |    -5.391 |   -0.9049 |    -2.199 |
+#&gt; |.....................|    -4.634 |    0.4122 |     1.091 |   0.05884 |
+#&gt; |.....................|    0.7854 |    0.7333 |     1.546 |    0.9893 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6990 |     1.968 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.66397</span> |     91.33 |  0.004557 |    0.2881 |    0.1109 |
+#&gt; |.....................|  0.009720 |    0.6016 |     1.091 |   0.05884 |
+#&gt; |.....................|    0.7854 |    0.7333 |     1.546 |    0.9893 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6990 |     1.968 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.197 |     1.155 |  -0.05534 |  -0.06448 |
+#&gt; |.....................|    0.3644 |    0.6140 |    0.1526 |     1.765 |
+#&gt; |.....................|   -0.5340 |    0.3555 |    0.9900 |     3.325 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2199 |    -1.571 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   35</span>|     479.66043 |     1.003 |    -1.191 |   -0.9271 |   -0.9364 |
+#&gt; |.....................|    -1.021 |   -0.9863 |   -0.2469 |   -0.8621 |
+#&gt; |.....................|   -0.8023 |    -1.062 |   -0.5613 |   -0.8374 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2456 |...........|...........|</span>
+#&gt; |    U|     479.66043 |     91.23 |    -5.391 |   -0.9048 |    -2.199 |
+#&gt; |.....................|    -4.634 |    0.4122 |     1.090 |   0.05883 |
+#&gt; |.....................|    0.7855 |    0.7332 |     1.545 |    0.9886 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6989 |     1.968 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.66043</span> |     91.23 |  0.004556 |    0.2881 |    0.1109 |
+#&gt; |.....................|  0.009719 |    0.6016 |     1.090 |   0.05883 |
+#&gt; |.....................|    0.7855 |    0.7332 |     1.545 |    0.9886 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6989 |     1.968 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.161 |     1.147 |   -0.1538 |  -0.04891 |
+#&gt; |.....................|    0.3674 |    0.6262 |   0.06581 |     1.677 |
+#&gt; |.....................|   -0.5453 |    0.2828 |     1.029 |     3.251 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2683 |    -1.555 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   36</span>|     479.65652 |     1.004 |    -1.192 |   -0.9270 |   -0.9364 |
+#&gt; |.....................|    -1.021 |   -0.9865 |   -0.2469 |   -0.8625 |
+#&gt; |.....................|   -0.8022 |    -1.062 |   -0.5616 |   -0.8382 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2452 |...........|...........|</span>
+#&gt; |    U|     479.65652 |     91.33 |    -5.392 |   -0.9048 |    -2.199 |
+#&gt; |.....................|    -4.634 |    0.4121 |     1.090 |   0.05882 |
+#&gt; |.....................|    0.7856 |    0.7332 |     1.545 |    0.9878 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6989 |     1.969 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.65652</span> |     91.33 |  0.004554 |    0.2881 |    0.1109 |
+#&gt; |.....................|  0.009718 |    0.6016 |     1.090 |   0.05882 |
+#&gt; |.....................|    0.7856 |    0.7332 |     1.545 |    0.9878 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6989 |     1.969 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.221 |     1.153 |  -0.05203 |  -0.06424 |
+#&gt; |.....................|    0.3643 |    0.6104 |   0.04854 |     1.680 |
+#&gt; |.....................|   -0.5365 |    0.2999 |    0.7877 |     3.080 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2284 |    -1.566 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   37</span>|     479.65328 |     1.003 |    -1.192 |   -0.9270 |   -0.9364 |
+#&gt; |.....................|    -1.021 |   -0.9866 |   -0.2470 |   -0.8629 |
+#&gt; |.....................|   -0.8020 |    -1.062 |   -0.5618 |   -0.8389 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.064 |   -0.2448 |...........|...........|</span>
+#&gt; |    U|     479.65328 |     91.23 |    -5.392 |   -0.9048 |    -2.199 |
+#&gt; |.....................|    -4.634 |    0.4120 |     1.090 |   0.05880 |
+#&gt; |.....................|    0.7857 |    0.7331 |     1.545 |    0.9871 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6988 |     1.969 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.65328</span> |     91.23 |  0.004553 |    0.2881 |    0.1109 |
+#&gt; |.....................|  0.009717 |    0.6016 |     1.090 |   0.05880 |
+#&gt; |.....................|    0.7857 |    0.7331 |     1.545 |    0.9871 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6988 |     1.969 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.438 |     1.145 |   -0.1538 |  -0.04822 |
+#&gt; |.....................|    0.3675 |    0.6235 | 0.0004265 |     1.625 |
+#&gt; |.....................|   -0.5487 |    0.2329 |    0.8499 |     3.058 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2658 |    -1.554 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   38</span>|     479.64923 |     1.004 |    -1.192 |   -0.9270 |   -0.9364 |
+#&gt; |.....................|    -1.022 |   -0.9868 |   -0.2469 |   -0.8633 |
+#&gt; |.....................|   -0.8019 |    -1.062 |   -0.5621 |   -0.8396 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2444 |...........|...........|</span>
+#&gt; |    U|     479.64923 |     91.32 |    -5.392 |   -0.9048 |    -2.199 |
+#&gt; |.....................|    -4.634 |    0.4119 |     1.091 |   0.05879 |
+#&gt; |.....................|    0.7858 |    0.7330 |     1.544 |    0.9864 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6988 |     1.970 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.64923</span> |     91.32 |  0.004551 |    0.2881 |    0.1109 |
+#&gt; |.....................|  0.009716 |    0.6015 |     1.091 |   0.05879 |
+#&gt; |.....................|    0.7858 |    0.7330 |     1.544 |    0.9864 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6988 |     1.970 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.878 |     1.150 |  -0.05277 |  -0.06333 |
+#&gt; |.....................|    0.3643 |    0.6074 |   0.07271 |     1.651 |
+#&gt; |.....................|   -0.5369 |    0.2992 |    0.8896 |     2.970 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2314 |    -1.562 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   39</span>|     479.64621 |     1.003 |    -1.193 |   -0.9270 |   -0.9363 |
+#&gt; |.....................|    -1.022 |   -0.9870 |   -0.2469 |   -0.8638 |
+#&gt; |.....................|   -0.8017 |    -1.062 |   -0.5623 |   -0.8404 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2440 |...........|...........|</span>
+#&gt; |    U|     479.64621 |     91.23 |    -5.393 |   -0.9047 |    -2.199 |
+#&gt; |.....................|    -4.634 |    0.4119 |     1.091 |   0.05878 |
+#&gt; |.....................|    0.7859 |    0.7330 |     1.544 |    0.9856 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6987 |     1.970 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.64621</span> |     91.23 |  0.004550 |    0.2881 |    0.1109 |
+#&gt; |.....................|  0.009715 |    0.6015 |     1.091 |   0.05878 |
+#&gt; |.....................|    0.7859 |    0.7330 |     1.544 |    0.9856 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6987 |     1.970 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.471 |     1.143 |   -0.1506 |  -0.04802 |
+#&gt; |.....................|    0.3674 |    0.6203 | -0.003354 |     1.603 |
+#&gt; |.....................|   -0.5429 |    0.2243 |    0.9025 |     2.920 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2732 |    -1.548 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   40</span>|     479.64228 |     1.004 |    -1.193 |   -0.9269 |   -0.9363 |
+#&gt; |.....................|    -1.022 |   -0.9872 |   -0.2468 |   -0.8642 |
+#&gt; |.....................|   -0.8016 |    -1.062 |   -0.5627 |   -0.8411 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2435 |...........|...........|</span>
+#&gt; |    U|     479.64228 |     91.32 |    -5.393 |   -0.9047 |    -2.199 |
+#&gt; |.....................|    -4.634 |    0.4118 |     1.091 |   0.05877 |
+#&gt; |.....................|    0.7860 |    0.7329 |     1.544 |    0.9850 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6987 |     1.971 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.64228</span> |     91.32 |  0.004548 |    0.2881 |    0.1109 |
+#&gt; |.....................|  0.009714 |    0.6015 |     1.091 |   0.05877 |
+#&gt; |.....................|    0.7860 |    0.7329 |     1.544 |    0.9850 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6987 |     1.971 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.744 |     1.148 |  -0.05088 |  -0.06289 |
+#&gt; |.....................|    0.3642 |    0.6037 |   0.03047 |     1.629 |
+#&gt; |.....................|   -0.5287 |    0.2733 |    0.8334 |     2.850 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2290 |    -1.558 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   41</span>|     479.63935 |     1.003 |    -1.193 |   -0.9269 |   -0.9363 |
+#&gt; |.....................|    -1.022 |   -0.9874 |   -0.2468 |   -0.8646 |
+#&gt; |.....................|   -0.8014 |    -1.062 |   -0.5630 |   -0.8419 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2431 |...........|...........|</span>
+#&gt; |    U|     479.63935 |     91.23 |    -5.393 |   -0.9047 |    -2.199 |
+#&gt; |.....................|    -4.634 |    0.4117 |     1.091 |   0.05876 |
+#&gt; |.....................|    0.7861 |    0.7329 |     1.543 |    0.9843 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6986 |     1.971 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.63935</span> |     91.23 |  0.004547 |    0.2881 |    0.1110 |
+#&gt; |.....................|  0.009713 |    0.6015 |     1.091 |   0.05876 |
+#&gt; |.....................|    0.7861 |    0.7329 |     1.543 |    0.9843 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6986 |     1.971 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.432 |     1.140 |   -0.1464 |  -0.04798 |
+#&gt; |.....................|    0.3672 |    0.6157 |  -0.06295 |     1.547 |
+#&gt; |.....................|   -0.5341 |    0.1919 |    0.7582 |     2.801 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2698 |    -1.544 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   42</span>|     479.63543 |     1.004 |    -1.194 |   -0.9268 |   -0.9363 |
+#&gt; |.....................|    -1.022 |   -0.9876 |   -0.2467 |   -0.8650 |
+#&gt; |.....................|   -0.8013 |    -1.062 |   -0.5633 |   -0.8425 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2426 |...........|...........|</span>
+#&gt; |    U|     479.63543 |     91.32 |    -5.394 |   -0.9046 |    -2.199 |
+#&gt; |.....................|    -4.634 |    0.4116 |     1.091 |   0.05874 |
+#&gt; |.....................|    0.7863 |    0.7328 |     1.543 |    0.9837 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6985 |     1.972 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.63543</span> |     91.32 |  0.004545 |    0.2881 |    0.1110 |
+#&gt; |.....................|  0.009712 |    0.6015 |     1.091 |   0.05874 |
+#&gt; |.....................|    0.7863 |    0.7328 |     1.543 |    0.9837 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6985 |     1.972 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.612 |     1.146 |  -0.04876 |  -0.06242 |
+#&gt; |.....................|    0.3640 |    0.6002 |   0.04743 |     1.619 |
+#&gt; |.....................|   -0.5199 |    0.2573 |    0.7734 |     2.739 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2298 |    -1.553 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   43</span>|     479.63248 |     1.003 |    -1.194 |   -0.9268 |   -0.9363 |
+#&gt; |.....................|    -1.022 |   -0.9878 |   -0.2466 |   -0.8655 |
+#&gt; |.....................|   -0.8011 |    -1.062 |   -0.5636 |   -0.8432 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2421 |...........|...........|</span>
+#&gt; |    U|     479.63248 |     91.23 |    -5.394 |   -0.9046 |    -2.199 |
+#&gt; |.....................|    -4.635 |    0.4115 |     1.091 |   0.05873 |
+#&gt; |.....................|    0.7864 |    0.7328 |     1.543 |    0.9830 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6985 |     1.973 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.63248</span> |     91.23 |  0.004543 |    0.2881 |    0.1110 |
+#&gt; |.....................|  0.009710 |    0.6014 |     1.091 |   0.05873 |
+#&gt; |.....................|    0.7864 |    0.7328 |     1.543 |    0.9830 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6985 |     1.973 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.237 |     1.138 |   -0.1400 |  -0.04830 |
+#&gt; |.....................|    0.3668 |    0.6108 |  -0.07665 |     1.521 |
+#&gt; |.....................|   -0.5353 |    0.1893 |    0.7456 |     2.704 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2668 |    -1.543 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   44</span>|     479.62869 |     1.004 |    -1.195 |   -0.9268 |   -0.9362 |
+#&gt; |.....................|    -1.022 |   -0.9880 |   -0.2464 |   -0.8659 |
+#&gt; |.....................|   -0.8009 |    -1.062 |   -0.5639 |   -0.8438 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2415 |...........|...........|</span>
+#&gt; |    U|     479.62869 |     91.32 |    -5.395 |   -0.9046 |    -2.199 |
+#&gt; |.....................|    -4.635 |    0.4114 |     1.091 |   0.05872 |
+#&gt; |.....................|    0.7865 |    0.7327 |     1.542 |    0.9824 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6984 |     1.973 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.62869</span> |     91.32 |  0.004541 |    0.2881 |    0.1110 |
+#&gt; |.....................|  0.009709 |    0.6014 |     1.091 |   0.05872 |
+#&gt; |.....................|    0.7865 |    0.7327 |     1.542 |    0.9824 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6984 |     1.973 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.552 |     1.143 |  -0.04554 |  -0.06221 |
+#&gt; |.....................|    0.3637 |    0.5952 |  -0.01323 |     1.563 |
+#&gt; |.....................|   -0.3448 |    0.2470 |    0.7924 |     2.643 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2272 |    -1.550 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   45</span>|     479.62584 |     1.003 |    -1.195 |   -0.9268 |   -0.9362 |
+#&gt; |.....................|    -1.022 |   -0.9883 |   -0.2463 |   -0.8663 |
+#&gt; |.....................|   -0.8008 |    -1.062 |   -0.5642 |   -0.8446 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2410 |...........|...........|</span>
+#&gt; |    U|     479.62584 |     91.24 |    -5.395 |   -0.9046 |    -2.199 |
+#&gt; |.....................|    -4.635 |    0.4113 |     1.091 |   0.05871 |
+#&gt; |.....................|    0.7866 |    0.7326 |     1.542 |    0.9817 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6983 |     1.974 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.62584</span> |     91.24 |  0.004539 |    0.2881 |    0.1110 |
+#&gt; |.....................|  0.009708 |    0.6014 |     1.091 |   0.05871 |
+#&gt; |.....................|    0.7866 |    0.7326 |     1.542 |    0.9817 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6983 |     1.974 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.148 |     1.135 |   -0.1348 |  -0.04846 |
+#&gt; |.....................|    0.3664 |    0.6063 | -0.009834 |     1.510 |
+#&gt; |.....................|   -0.5271 |    0.1803 |    0.7932 |     2.587 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2684 |    -1.536 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   46</span>|     479.62216 |     1.004 |    -1.195 |   -0.9267 |   -0.9362 |
+#&gt; |.....................|    -1.023 |   -0.9885 |   -0.2462 |   -0.8667 |
+#&gt; |.....................|   -0.8007 |    -1.062 |   -0.5646 |   -0.8451 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2404 |...........|...........|</span>
+#&gt; |    U|     479.62216 |     91.32 |    -5.395 |   -0.9045 |    -2.199 |
+#&gt; |.....................|    -4.635 |    0.4112 |     1.091 |   0.05870 |
+#&gt; |.....................|    0.7867 |    0.7326 |     1.541 |    0.9811 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6983 |     1.975 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.62216</span> |     91.32 |  0.004537 |    0.2881 |    0.1110 |
+#&gt; |.....................|  0.009706 |    0.6014 |     1.091 |   0.05870 |
+#&gt; |.....................|    0.7867 |    0.7326 |     1.541 |    0.9811 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6983 |     1.975 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.404 |     1.140 |  -0.04564 |  -0.06187 |
+#&gt; |.....................|    0.3633 |    0.5903 |  -0.01970 |     1.541 |
+#&gt; |.....................|   -0.5054 |    0.2303 |    0.6483 |     2.528 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2288 |    -1.542 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   47</span>|     479.61938 |     1.003 |    -1.196 |   -0.9267 |   -0.9362 |
+#&gt; |.....................|    -1.023 |   -0.9887 |   -0.2461 |   -0.8672 |
+#&gt; |.....................|   -0.8005 |    -1.062 |   -0.5649 |   -0.8458 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2398 |...........|...........|</span>
+#&gt; |    U|     479.61938 |     91.24 |    -5.396 |   -0.9045 |    -2.199 |
+#&gt; |.....................|    -4.635 |    0.4111 |     1.091 |   0.05868 |
+#&gt; |.....................|    0.7868 |    0.7325 |     1.541 |    0.9805 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6982 |     1.975 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.61938</span> |     91.24 |  0.004535 |    0.2881 |    0.1110 |
+#&gt; |.....................|  0.009705 |    0.6013 |     1.091 |   0.05868 |
+#&gt; |.....................|    0.7868 |    0.7325 |     1.541 |    0.9805 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6982 |     1.975 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.197 |     1.132 |   -0.1312 |  -0.04839 |
+#&gt; |.....................|    0.3660 |    0.6012 |   0.05916 |     1.560 |
+#&gt; |.....................|   -0.4869 |    0.2015 |    0.8305 |     2.573 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2666 |    -1.531 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   48</span>|     479.61563 |     1.003 |    -1.196 |   -0.9266 |   -0.9361 |
+#&gt; |.....................|    -1.023 |   -0.9890 |   -0.2459 |   -0.8676 |
+#&gt; |.....................|   -0.8003 |    -1.062 |   -0.5653 |   -0.8464 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2392 |...........|...........|</span>
+#&gt; |    U|     479.61563 |     91.32 |    -5.396 |   -0.9044 |    -2.199 |
+#&gt; |.....................|    -4.635 |    0.4109 |     1.091 |   0.05867 |
+#&gt; |.....................|    0.7870 |    0.7325 |     1.541 |    0.9799 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6981 |     1.976 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.61563</span> |     91.32 |  0.004533 |    0.2881 |    0.1110 |
+#&gt; |.....................|  0.009703 |    0.6013 |     1.091 |   0.05867 |
+#&gt; |.....................|    0.7870 |    0.7325 |     1.541 |    0.9799 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6981 |     1.976 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.024 |     1.137 |  -0.04591 |  -0.06118 |
+#&gt; |.....................|    0.3629 |    0.5856 |  0.004035 |     1.536 |
+#&gt; |.....................|   -0.4978 |    0.2329 |    0.6617 |     2.436 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2318 |    -1.535 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   49</span>|     479.61337 |     1.003 |    -1.197 |   -0.9266 |   -0.9361 |
+#&gt; |.....................|    -1.023 |   -0.9892 |   -0.2459 |   -0.8680 |
+#&gt; |.....................|   -0.8001 |    -1.063 |   -0.5655 |   -0.8471 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.065 |   -0.2388 |...........|...........|</span>
+#&gt; |    U|     479.61337 |     91.23 |    -5.397 |   -0.9044 |    -2.198 |
+#&gt; |.....................|    -4.635 |    0.4109 |     1.091 |   0.05866 |
+#&gt; |.....................|    0.7871 |    0.7324 |     1.540 |    0.9792 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6980 |     1.977 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.61337</span> |     91.23 |  0.004531 |    0.2881 |    0.1110 |
+#&gt; |.....................|  0.009702 |    0.6013 |     1.091 |   0.05866 |
+#&gt; |.....................|    0.7871 |    0.7324 |     1.540 |    0.9792 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6980 |     1.977 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.815 |     1.129 |   -0.1342 |  -0.04706 |
+#&gt; |.....................|    0.3660 |    0.5971 |  -0.07697 |     1.438 |
+#&gt; |.....................|   -0.5059 |    0.1462 |    0.6633 |     2.381 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2676 |    -1.522 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   50</span>|     479.60932 |     1.003 |    -1.197 |   -0.9266 |   -0.9361 |
+#&gt; |.....................|    -1.023 |   -0.9894 |   -0.2456 |   -0.8684 |
+#&gt; |.....................|   -0.8000 |    -1.063 |   -0.5659 |   -0.8476 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2381 |...........|...........|</span>
+#&gt; |    U|     479.60932 |     91.31 |    -5.397 |   -0.9044 |    -2.198 |
+#&gt; |.....................|    -4.636 |    0.4107 |     1.091 |   0.05865 |
+#&gt; |.....................|    0.7872 |    0.7324 |     1.540 |    0.9788 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6979 |     1.977 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.60932</span> |     91.31 |  0.004529 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009700 |    0.6013 |     1.091 |   0.05865 |
+#&gt; |.....................|    0.7872 |    0.7324 |     1.540 |    0.9788 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6979 |     1.977 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.699 |     1.134 |  -0.04549 |  -0.06017 |
+#&gt; |.....................|    0.3630 |    0.5814 |  -0.04512 |     1.484 |
+#&gt; |.....................|   -0.4915 |    0.2556 |    0.7248 |     2.322 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2317 |    -1.529 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   51</span>|     479.60706 |     1.003 |    -1.198 |   -0.9265 |   -0.9361 |
+#&gt; |.....................|    -1.023 |   -0.9896 |   -0.2455 |   -0.8689 |
+#&gt; |.....................|   -0.7998 |    -1.063 |   -0.5661 |   -0.8484 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2376 |...........|...........|</span>
+#&gt; |    U|     479.60706 |     91.23 |    -5.398 |   -0.9044 |    -2.198 |
+#&gt; |.....................|    -4.636 |    0.4106 |     1.091 |   0.05863 |
+#&gt; |.....................|    0.7873 |    0.7323 |     1.540 |    0.9781 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6979 |     1.978 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.60706</span> |     91.23 |  0.004527 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009699 |    0.6012 |     1.091 |   0.05863 |
+#&gt; |.....................|    0.7873 |    0.7323 |     1.540 |    0.9781 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6979 |     1.978 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.618 |     1.127 |   -0.1276 |  -0.04760 |
+#&gt; |.....................|    0.3656 |    0.5915 |  -0.08622 |     1.415 |
+#&gt; |.....................|   -0.5531 |    0.1512 |    0.6569 |     2.298 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2620 |    -1.540 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   52</span>|     479.60314 |     1.003 |    -1.198 |   -0.9265 |   -0.9360 |
+#&gt; |.....................|    -1.023 |   -0.9899 |   -0.2452 |   -0.8692 |
+#&gt; |.....................|   -0.7996 |    -1.063 |   -0.5665 |   -0.8488 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2369 |...........|...........|</span>
+#&gt; |    U|     479.60314 |     91.31 |    -5.398 |   -0.9043 |    -2.198 |
+#&gt; |.....................|    -4.636 |    0.4105 |     1.091 |   0.05862 |
+#&gt; |.....................|    0.7875 |    0.7322 |     1.539 |    0.9776 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6978 |     1.979 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.60314</span> |     91.31 |  0.004525 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009698 |    0.6012 |     1.091 |   0.05862 |
+#&gt; |.....................|    0.7875 |    0.7322 |     1.539 |    0.9776 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6978 |     1.979 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.641 |     1.131 |  -0.04213 |  -0.06002 |
+#&gt; |.....................|    0.3627 |    0.5770 |  -0.05114 |     1.464 |
+#&gt; |.....................|   -0.4913 |    0.1735 |    0.5980 |     2.238 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2116 |    -1.521 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   53</span>|     479.60093 |     1.003 |    -1.199 |   -0.9265 |   -0.9360 |
+#&gt; |.....................|    -1.024 |   -0.9901 |   -0.2452 |   -0.8697 |
+#&gt; |.....................|   -0.7994 |    -1.063 |   -0.5667 |   -0.8495 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2363 |...........|...........|</span>
+#&gt; |    U|     479.60093 |     91.23 |    -5.399 |   -0.9043 |    -2.198 |
+#&gt; |.....................|    -4.636 |    0.4104 |     1.091 |   0.05861 |
+#&gt; |.....................|    0.7876 |    0.7322 |     1.539 |    0.9769 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6977 |     1.980 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.60093</span> |     91.23 |  0.004523 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009696 |    0.6012 |     1.091 |   0.05861 |
+#&gt; |.....................|    0.7876 |    0.7322 |     1.539 |    0.9769 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6977 |     1.980 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.657 |     1.124 |   -0.1240 |  -0.04721 |
+#&gt; |.....................|    0.3655 |    0.5872 |  -0.09119 |     1.382 |
+#&gt; |.....................|   -0.4948 |    0.1646 |    0.6965 |     2.186 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2747 |    -1.512 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   54</span>|     479.59701 |     1.003 |    -1.199 |   -0.9264 |   -0.9360 |
+#&gt; |.....................|    -1.024 |   -0.9904 |   -0.2448 |   -0.8700 |
+#&gt; |.....................|   -0.7992 |    -1.063 |   -0.5670 |   -0.8499 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2356 |...........|...........|</span>
+#&gt; |    U|     479.59701 |     91.31 |    -5.399 |   -0.9043 |    -2.198 |
+#&gt; |.....................|    -4.636 |    0.4103 |     1.091 |   0.05860 |
+#&gt; |.....................|    0.7877 |    0.7321 |     1.539 |    0.9766 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6976 |     1.980 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.59701</span> |     91.31 |  0.004520 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009695 |    0.6012 |     1.091 |   0.05860 |
+#&gt; |.....................|    0.7877 |    0.7321 |     1.539 |    0.9766 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6976 |     1.980 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.447 |     1.128 |  -0.03826 |  -0.05934 |
+#&gt; |.....................|    0.3628 |    0.5721 |  -0.04376 |     1.440 |
+#&gt; |.....................|   -0.4844 |    0.2233 |   -0.3355 |     1.410 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3677 |    -1.539 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   55</span>|     479.59436 |     1.003 |    -1.200 |   -0.9264 |   -0.9360 |
+#&gt; |.....................|    -1.024 |   -0.9907 |   -0.2446 |   -0.8705 |
+#&gt; |.....................|   -0.7990 |    -1.063 |   -0.5669 |   -0.8504 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2349 |...........|...........|</span>
+#&gt; |    U|     479.59436 |     91.23 |    -5.400 |   -0.9042 |    -2.198 |
+#&gt; |.....................|    -4.636 |    0.4102 |     1.091 |   0.05858 |
+#&gt; |.....................|    0.7879 |    0.7320 |     1.539 |    0.9761 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6977 |     1.981 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.59436</span> |     91.23 |  0.004518 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009693 |    0.6011 |     1.091 |   0.05858 |
+#&gt; |.....................|    0.7879 |    0.7320 |     1.539 |    0.9761 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6977 |     1.981 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.478 |     1.121 |   -0.1165 |  -0.04761 |
+#&gt; |.....................|    0.3651 |    0.5835 |  -0.09604 |     1.373 |
+#&gt; |.....................|   -0.4943 |    0.1086 |   -0.4551 |     1.395 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3088 |    -1.502 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   56</span>|     479.58979 |     1.003 |    -1.200 |   -0.9263 |   -0.9359 |
+#&gt; |.....................|    -1.024 |   -0.9910 |   -0.2442 |   -0.8708 |
+#&gt; |.....................|   -0.7988 |    -1.063 |   -0.5665 |   -0.8506 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2341 |...........|...........|</span>
+#&gt; |    U|     479.58979 |     91.30 |    -5.400 |   -0.9042 |    -2.198 |
+#&gt; |.....................|    -4.637 |    0.4100 |     1.092 |   0.05858 |
+#&gt; |.....................|    0.7880 |    0.7319 |     1.539 |    0.9759 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6978 |     1.982 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.58979</span> |     91.30 |  0.004516 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009691 |    0.6011 |     1.092 |   0.05858 |
+#&gt; |.....................|    0.7880 |    0.7319 |     1.539 |    0.9759 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6978 |     1.982 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     1.813 |     1.125 |  -0.03904 |  -0.05862 |
+#&gt; |.....................|    0.3624 |    0.5728 | -0.008587 |     1.448 |
+#&gt; |.....................|   -0.2657 |    0.1639 |    0.6610 |     2.108 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2622 |    -1.501 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   57</span>|     479.58727 |     1.003 |    -1.201 |   -0.9263 |   -0.9359 |
+#&gt; |.....................|    -1.024 |   -0.9912 |   -0.2441 |   -0.8713 |
+#&gt; |.....................|   -0.7987 |    -1.063 |   -0.5668 |   -0.8514 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2335 |...........|...........|</span>
+#&gt; |    U|     479.58727 |     91.24 |    -5.401 |   -0.9042 |    -2.198 |
+#&gt; |.....................|    -4.637 |    0.4099 |     1.092 |   0.05856 |
+#&gt; |.....................|    0.7881 |    0.7318 |     1.539 |    0.9751 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6978 |     1.983 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.58727</span> |     91.24 |  0.004513 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009690 |    0.6011 |     1.092 |   0.05856 |
+#&gt; |.....................|    0.7881 |    0.7318 |     1.539 |    0.9751 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6978 |     1.983 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.987 |     1.119 |   -0.1055 |  -0.04878 |
+#&gt; |.....................|    0.3644 |    0.5797 |  -0.03160 |     1.359 |
+#&gt; |.....................|   -0.4809 |   0.09403 |   -0.4184 |     1.337 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2770 |    -1.489 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   58</span>|     479.58366 |     1.004 |    -1.201 |   -0.9263 |   -0.9359 |
+#&gt; |.....................|    -1.024 |   -0.9915 |   -0.2438 |   -0.8717 |
+#&gt; |.....................|   -0.7986 |    -1.063 |   -0.5667 |   -0.8517 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2327 |...........|...........|</span>
+#&gt; |    U|     479.58366 |     91.32 |    -5.401 |   -0.9041 |    -2.198 |
+#&gt; |.....................|    -4.637 |    0.4098 |     1.092 |   0.05855 |
+#&gt; |.....................|    0.7882 |    0.7317 |     1.539 |    0.9749 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6978 |     1.984 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.58366</span> |     91.32 |  0.004511 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009688 |    0.6010 |     1.092 |   0.05855 |
+#&gt; |.....................|    0.7882 |    0.7317 |     1.539 |    0.9749 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6978 |     1.984 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.434 |     1.122 |  -0.01954 |  -0.06326 |
+#&gt; |.....................|    0.3597 |    0.5645 |  -0.03484 |     1.404 |
+#&gt; |.....................|   -0.4782 |    0.1697 |  -0.05991 |     1.573 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2504 |    -1.489 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   59</span>|     479.57994 |     1.003 |    -1.202 |   -0.9262 |   -0.9358 |
+#&gt; |.....................|    -1.025 |   -0.9918 |   -0.2433 |   -0.8720 |
+#&gt; |.....................|   -0.7984 |    -1.063 |   -0.5664 |   -0.8520 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2319 |...........|...........|</span>
+#&gt; |    U|     479.57994 |     91.26 |    -5.402 |   -0.9041 |    -2.198 |
+#&gt; |.....................|    -4.637 |    0.4096 |     1.092 |   0.05854 |
+#&gt; |.....................|    0.7884 |    0.7316 |     1.539 |    0.9746 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6977 |     1.985 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.57994</span> |     91.26 |  0.004508 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009686 |    0.6010 |     1.092 |   0.05854 |
+#&gt; |.....................|    0.7884 |    0.7316 |     1.539 |    0.9746 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6977 |     1.985 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -2.328 |     1.117 |  -0.07952 |  -0.05137 |
+#&gt; |.....................|    0.3636 |    0.5738 |   0.02815 |     1.418 |
+#&gt; |.....................|   -0.4669 |    0.1345 |    0.7258 |     2.078 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2949 |    -1.476 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   60</span>|     479.57683 |     1.004 |    -1.202 |   -0.9262 |   -0.9358 |
+#&gt; |.....................|    -1.025 |   -0.9921 |   -0.2431 |   -0.8724 |
+#&gt; |.....................|   -0.7982 |    -1.064 |   -0.5667 |   -0.8526 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2311 |...........|...........|</span>
+#&gt; |    U|     479.57683 |     91.32 |    -5.402 |   -0.9041 |    -2.198 |
+#&gt; |.....................|    -4.637 |    0.4095 |     1.092 |   0.05853 |
+#&gt; |.....................|    0.7885 |    0.7315 |     1.539 |    0.9740 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6976 |     1.986 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.57683</span> |     91.32 |  0.004505 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009684 |    0.6010 |     1.092 |   0.05853 |
+#&gt; |.....................|    0.7885 |    0.7315 |     1.539 |    0.9740 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6976 |     1.986 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.369 |     1.121 |  -0.01236 |  -0.06033 |
+#&gt; |.....................|    0.3618 |    0.5608 | -0.009614 |     1.424 |
+#&gt; |.....................|   -0.4677 |    0.1416 |    0.6194 |     1.932 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2634 |    -1.483 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   61</span>|     479.57433 |     1.003 |    -1.203 |   -0.9262 |   -0.9358 |
+#&gt; |.....................|    -1.025 |   -0.9924 |   -0.2429 |   -0.8728 |
+#&gt; |.....................|   -0.7980 |    -1.064 |   -0.5671 |   -0.8530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2304 |...........|...........|</span>
+#&gt; |    U|     479.57433 |     91.25 |    -5.403 |   -0.9041 |    -2.198 |
+#&gt; |.....................|    -4.637 |    0.4094 |     1.092 |   0.05852 |
+#&gt; |.....................|    0.7886 |    0.7315 |     1.539 |    0.9736 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6975 |     1.987 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.57433</span> |     91.25 |  0.004503 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009683 |    0.6009 |     1.092 |   0.05852 |
+#&gt; |.....................|    0.7886 |    0.7315 |     1.539 |    0.9736 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6975 |     1.987 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.507 |     1.111 |  -0.09183 |  -0.05192 |
+#&gt; |.....................|    0.3614 |    0.5665 |  -0.03887 |     1.349 |
+#&gt; |.....................|   -0.4753 |   0.07826 |    0.5528 |     1.905 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2844 |    -1.468 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   62</span>|     479.57116 |     1.003 |    -1.204 |   -0.9262 |   -0.9357 |
+#&gt; |.....................|    -1.025 |   -0.9927 |   -0.2425 |   -0.8732 |
+#&gt; |.....................|   -0.7978 |    -1.064 |   -0.5674 |   -0.8534 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2297 |...........|...........|</span>
+#&gt; |    U|     479.57116 |     91.32 |    -5.404 |   -0.9040 |    -2.198 |
+#&gt; |.....................|    -4.638 |    0.4092 |     1.092 |   0.05851 |
+#&gt; |.....................|    0.7888 |    0.7315 |     1.538 |    0.9732 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6973 |     1.988 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.57116</span> |     91.32 |  0.004500 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009681 |    0.6009 |     1.092 |   0.05851 |
+#&gt; |.....................|    0.7888 |    0.7315 |     1.538 |    0.9732 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6973 |     1.988 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.953 |     1.117 |  -0.01332 |  -0.05913 |
+#&gt; |.....................|    0.3618 |    0.5550 |  -0.01942 |     1.377 |
+#&gt; |.....................|   -0.4588 |    0.1396 |    0.5378 |     1.901 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2564 |    -1.475 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   63</span>|     479.56857 |     1.003 |    -1.204 |   -0.9261 |   -0.9357 |
+#&gt; |.....................|    -1.025 |   -0.9930 |   -0.2422 |   -0.8735 |
+#&gt; |.....................|   -0.7976 |    -1.064 |   -0.5677 |   -0.8539 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |   -0.2289 |...........|...........|</span>
+#&gt; |    U|     479.56857 |     91.25 |    -5.404 |   -0.9040 |    -2.198 |
+#&gt; |.....................|    -4.638 |    0.4091 |     1.092 |   0.05850 |
+#&gt; |.....................|    0.7889 |    0.7314 |     1.538 |    0.9728 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6972 |     1.989 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.56857</span> |     91.25 |  0.004497 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009679 |    0.6009 |     1.092 |   0.05850 |
+#&gt; |.....................|    0.7889 |    0.7314 |     1.538 |    0.9728 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6972 |     1.989 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.279 |     1.109 |  -0.08378 |  -0.05051 |
+#&gt; |.....................|    0.3625 |    0.5609 |  -0.06234 |     1.320 |
+#&gt; |.....................|   -0.5093 |   0.06989 |    -1.266 |     1.852 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2753 |    -1.463 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   64</span>|     479.56430 |     1.003 |    -1.205 |   -0.9261 |   -0.9357 |
+#&gt; |.....................|    -1.026 |   -0.9933 |   -0.2419 |   -0.8738 |
+#&gt; |.....................|   -0.7974 |    -1.064 |   -0.5672 |   -0.8543 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2281 |...........|...........|</span>
+#&gt; |    U|      479.5643 |     91.31 |    -5.405 |   -0.9040 |    -2.198 |
+#&gt; |.....................|    -4.638 |    0.4090 |     1.093 |   0.05849 |
+#&gt; |.....................|    0.7891 |    0.7314 |     1.538 |    0.9724 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6971 |     1.990 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      479.5643</span> |     91.31 |  0.004495 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009677 |    0.6008 |     1.093 |   0.05849 |
+#&gt; |.....................|    0.7891 |    0.7314 |     1.538 |    0.9724 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6971 |     1.990 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.181 |     1.113 |  -0.01711 |  -0.05862 |
+#&gt; |.....................|    0.3610 |    0.5490 |  -0.06295 |     1.399 |
+#&gt; |.....................|   -0.4495 |    0.1474 |    0.6781 |     1.913 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2455 |    -1.468 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   65</span>|     479.56239 |     1.003 |    -1.205 |   -0.9261 |   -0.9356 |
+#&gt; |.....................|    -1.026 |   -0.9935 |   -0.2417 |   -0.8744 |
+#&gt; |.....................|   -0.7972 |    -1.064 |   -0.5674 |   -0.8549 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2275 |...........|...........|</span>
+#&gt; |    U|     479.56239 |     91.24 |    -5.405 |   -0.9040 |    -2.198 |
+#&gt; |.....................|    -4.638 |    0.4089 |     1.093 |   0.05847 |
+#&gt; |.....................|    0.7892 |    0.7313 |     1.538 |    0.9718 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6970 |     1.990 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.56239</span> |     91.24 |  0.004493 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009675 |    0.6008 |     1.093 |   0.05847 |
+#&gt; |.....................|    0.7892 |    0.7313 |     1.538 |    0.9718 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6970 |     1.990 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.516 |     1.106 |  -0.09308 |  -0.04714 |
+#&gt; |.....................|    0.3636 |    0.5580 |  -0.04406 |     1.488 |
+#&gt; |.....................|   -0.4662 |   0.05187 |    0.6104 |     1.787 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2769 |    -1.453 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   66</span>|     479.55877 |     1.003 |    -1.206 |   -0.9261 |   -0.9356 |
+#&gt; |.....................|    -1.026 |   -0.9938 |   -0.2414 |   -0.8747 |
+#&gt; |.....................|   -0.7970 |    -1.064 |   -0.5678 |   -0.8553 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2268 |...........|...........|</span>
+#&gt; |    U|     479.55877 |     91.31 |    -5.406 |   -0.9039 |    -2.198 |
+#&gt; |.....................|    -4.638 |    0.4087 |     1.093 |   0.05846 |
+#&gt; |.....................|    0.7894 |    0.7313 |     1.538 |    0.9714 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6969 |     1.991 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.55877</span> |     91.31 |  0.004490 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009674 |    0.6008 |     1.093 |   0.05846 |
+#&gt; |.....................|    0.7894 |    0.7313 |     1.538 |    0.9714 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6969 |     1.991 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.254 |     1.111 |  -0.01255 |  -0.05783 |
+#&gt; |.....................|    0.3613 |    0.5437 |  -0.01079 |     1.366 |
+#&gt; |.....................|   -0.4954 |    0.1048 |    0.5565 |     1.745 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2417 |    -1.458 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   67</span>|     479.55696 |     1.003 |    -1.206 |   -0.9261 |   -0.9356 |
+#&gt; |.....................|    -1.026 |   -0.9940 |   -0.2413 |   -0.8753 |
+#&gt; |.....................|   -0.7968 |    -1.064 |   -0.5681 |   -0.8559 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2262 |...........|...........|</span>
+#&gt; |    U|     479.55696 |     91.24 |    -5.406 |   -0.9039 |    -2.198 |
+#&gt; |.....................|    -4.639 |    0.4086 |     1.093 |   0.05845 |
+#&gt; |.....................|    0.7895 |    0.7312 |     1.537 |    0.9708 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6968 |     1.992 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.55696</span> |     91.24 |  0.004488 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009672 |    0.6008 |     1.093 |   0.05845 |
+#&gt; |.....................|    0.7895 |    0.7312 |     1.537 |    0.9708 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6968 |     1.992 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.420 |     1.104 |  -0.08938 |  -0.04652 |
+#&gt; |.....................|    0.3638 |    0.5524 |  -0.03600 |     1.474 |
+#&gt; |.....................|   -0.4537 |   0.08714 |    0.5943 |     1.686 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2777 |    -1.443 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   68</span>|     479.55331 |     1.003 |    -1.207 |   -0.9260 |   -0.9356 |
+#&gt; |.....................|    -1.026 |   -0.9943 |   -0.2409 |   -0.8756 |
+#&gt; |.....................|   -0.7966 |    -1.064 |   -0.5684 |   -0.8562 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2254 |...........|...........|</span>
+#&gt; |    U|     479.55331 |     91.31 |    -5.407 |   -0.9039 |    -2.198 |
+#&gt; |.....................|    -4.639 |    0.4085 |     1.093 |   0.05844 |
+#&gt; |.....................|    0.7897 |    0.7312 |     1.537 |    0.9706 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6966 |     1.993 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.55331</span> |     91.31 |  0.004485 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009670 |    0.6007 |     1.093 |   0.05844 |
+#&gt; |.....................|    0.7897 |    0.7312 |     1.537 |    0.9706 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6966 |     1.993 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     1.940 |     1.107 |  -0.01326 |  -0.05734 |
+#&gt; |.....................|    0.3610 |    0.5380 |  -0.03050 |     1.334 |
+#&gt; |.....................|   -0.4419 |   0.09953 |    0.4758 |     1.660 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2363 |    -1.448 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   69</span>|     479.55178 |     1.003 |    -1.208 |   -0.9260 |   -0.9355 |
+#&gt; |.....................|    -1.026 |   -0.9945 |   -0.2409 |   -0.8762 |
+#&gt; |.....................|   -0.7964 |    -1.064 |   -0.5686 |   -0.8569 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2248 |...........|...........|</span>
+#&gt; |    U|     479.55178 |     91.23 |    -5.408 |   -0.9039 |    -2.198 |
+#&gt; |.....................|    -4.639 |    0.4084 |     1.093 |   0.05842 |
+#&gt; |.....................|    0.7898 |    0.7311 |     1.537 |    0.9699 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     1.994 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.55178</span> |     91.23 |  0.004483 |    0.2882 |    0.1110 |
+#&gt; |.....................|  0.009668 |    0.6007 |     1.093 |   0.05842 |
+#&gt; |.....................|    0.7898 |    0.7311 |     1.537 |    0.9699 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     1.994 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.846 |     1.100 |  -0.09130 |  -0.04553 |
+#&gt; |.....................|    0.3638 |    0.5474 |  -0.02936 |     1.430 |
+#&gt; |.....................|   -0.4494 |   0.05105 |    0.6245 |     1.611 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2724 |    -1.435 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   70</span>|     479.54790 |     1.003 |    -1.208 |   -0.9260 |   -0.9355 |
+#&gt; |.....................|    -1.027 |   -0.9948 |   -0.2405 |   -0.8765 |
+#&gt; |.....................|   -0.7962 |    -1.064 |   -0.5690 |   -0.8571 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2240 |...........|...........|</span>
+#&gt; |    U|      479.5479 |     91.30 |    -5.408 |   -0.9039 |    -2.198 |
+#&gt; |.....................|    -4.639 |    0.4083 |     1.093 |   0.05841 |
+#&gt; |.....................|    0.7899 |    0.7311 |     1.536 |    0.9697 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     1.995 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      479.5479</span> |     91.30 |  0.004480 |    0.2883 |    0.1110 |
+#&gt; |.....................|  0.009667 |    0.6007 |     1.093 |   0.05841 |
+#&gt; |.....................|    0.7899 |    0.7311 |     1.536 |    0.9697 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     1.995 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     1.570 |     1.104 |  -0.01594 |  -0.05674 |
+#&gt; |.....................|    0.3607 |    0.5327 |  -0.02577 |     1.253 |
+#&gt; |.....................|   -0.4401 |   0.07544 |   -0.5163 |    0.8741 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3456 |    -1.445 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   71</span>|     479.54587 |     1.003 |    -1.209 |   -0.9260 |   -0.9355 |
+#&gt; |.....................|    -1.027 |   -0.9951 |   -0.2405 |   -0.8771 |
+#&gt; |.....................|   -0.7960 |    -1.064 |   -0.5687 |   -0.8576 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2233 |...........|...........|</span>
+#&gt; |    U|     479.54587 |     91.23 |    -5.409 |   -0.9039 |    -2.198 |
+#&gt; |.....................|    -4.639 |    0.4081 |     1.093 |   0.05839 |
+#&gt; |.....................|    0.7901 |    0.7310 |     1.537 |    0.9693 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     1.995 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.54587</span> |     91.23 |  0.004478 |    0.2883 |    0.1110 |
+#&gt; |.....................|  0.009665 |    0.6006 |     1.093 |   0.05839 |
+#&gt; |.....................|    0.7901 |    0.7310 |     1.537 |    0.9693 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     1.995 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.902 |     1.097 |  -0.08880 |  -0.04568 |
+#&gt; |.....................|    0.3633 |    0.5436 |  -0.03820 |     1.421 |
+#&gt; |.....................|   -0.4438 |   0.04451 |    0.5507 |     1.558 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2862 |    -1.423 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   72</span>|     479.54157 |     1.003 |    -1.209 |   -0.9260 |   -0.9354 |
+#&gt; |.....................|    -1.027 |   -0.9954 |   -0.2399 |   -0.8773 |
+#&gt; |.....................|   -0.7958 |    -1.064 |   -0.5687 |   -0.8577 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2225 |...........|...........|</span>
+#&gt; |    U|     479.54157 |     91.30 |    -5.409 |   -0.9038 |    -2.198 |
+#&gt; |.....................|    -4.639 |    0.4080 |     1.093 |   0.05839 |
+#&gt; |.....................|    0.7902 |    0.7309 |     1.537 |    0.9691 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     1.996 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.54157</span> |     91.30 |  0.004475 |    0.2883 |    0.1110 |
+#&gt; |.....................|  0.009663 |    0.6006 |     1.093 |   0.05839 |
+#&gt; |.....................|    0.7902 |    0.7309 |     1.537 |    0.9691 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     1.996 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     1.063 |     1.100 |  -0.01768 |  -0.05631 |
+#&gt; |.....................|    0.3603 |    0.5311 |  -0.05904 |     1.468 |
+#&gt; |.....................|   -0.4400 |   0.06384 |    0.5216 |     1.564 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2548 |    -1.433 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   73</span>|     479.53906 |     1.003 |    -1.210 |   -0.9259 |   -0.9354 |
+#&gt; |.....................|    -1.027 |   -0.9956 |   -0.2399 |   -0.8780 |
+#&gt; |.....................|   -0.7956 |    -1.064 |   -0.5689 |   -0.8584 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2218 |...........|...........|</span>
+#&gt; |    U|     479.53906 |     91.25 |    -5.410 |   -0.9038 |    -2.198 |
+#&gt; |.....................|    -4.640 |    0.4079 |     1.093 |   0.05837 |
+#&gt; |.....................|    0.7904 |    0.7309 |     1.536 |    0.9684 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     1.997 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.53906</span> |     91.25 |  0.004472 |    0.2883 |    0.1110 |
+#&gt; |.....................|  0.009661 |    0.6006 |     1.093 |   0.05837 |
+#&gt; |.....................|    0.7904 |    0.7309 |     1.536 |    0.9684 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     1.997 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.131 |     1.095 |  -0.06506 |  -0.04908 |
+#&gt; |.....................|    0.3620 |    0.5356 | -0.007514 |     1.441 |
+#&gt; |.....................|   -0.4274 |   0.08578 |   -0.3543 |    0.8441 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2944 |    -1.418 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   74</span>|     479.53616 |     1.004 |    -1.210 |   -0.9259 |   -0.9354 |
+#&gt; |.....................|    -1.027 |   -0.9959 |   -0.2396 |   -0.8785 |
+#&gt; |.....................|   -0.7954 |    -1.064 |   -0.5688 |   -0.8586 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2210 |...........|...........|</span>
+#&gt; |    U|     479.53616 |     91.33 |    -5.410 |   -0.9038 |    -2.198 |
+#&gt; |.....................|    -4.640 |    0.4077 |     1.094 |   0.05835 |
+#&gt; |.....................|    0.7905 |    0.7308 |     1.537 |    0.9682 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     1.998 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.53616</span> |     91.33 |  0.004470 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009659 |    0.6005 |     1.094 |   0.05835 |
+#&gt; |.....................|    0.7905 |    0.7308 |     1.537 |    0.9682 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     1.998 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.979 |     1.099 |   0.01619 |  -0.06233 |
+#&gt; |.....................|    0.3580 |    0.5217 |  -0.09749 |     1.245 |
+#&gt; |.....................|   -0.4289 |    0.1115 |   -0.5282 |    0.7580 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3266 |    -1.417 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   75</span>|     479.53242 |     1.003 |    -1.211 |   -0.9259 |   -0.9353 |
+#&gt; |.....................|    -1.028 |   -0.9962 |   -0.2391 |   -0.8787 |
+#&gt; |.....................|   -0.7953 |    -1.065 |   -0.5685 |   -0.8588 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2202 |...........|...........|</span>
+#&gt; |    U|     479.53242 |     91.27 |    -5.411 |   -0.9038 |    -2.198 |
+#&gt; |.....................|    -4.640 |    0.4076 |     1.094 |   0.05835 |
+#&gt; |.....................|    0.7906 |    0.7307 |     1.537 |    0.9681 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6966 |     1.999 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.53242</span> |     91.27 |  0.004467 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009657 |    0.6005 |     1.094 |   0.05835 |
+#&gt; |.....................|    0.7906 |    0.7307 |     1.537 |    0.9681 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6966 |     1.999 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.679 |     1.093 |  -0.04308 |  -0.05224 |
+#&gt; |.....................|    0.3605 |    0.5318 | -0.002555 |     1.446 |
+#&gt; |.....................|   -0.4215 |   0.05786 |    0.6079 |     1.538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2997 |    -1.401 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   76</span>|     479.52958 |     1.004 |    -1.212 |   -0.9259 |   -0.9353 |
+#&gt; |.....................|    -1.028 |   -0.9965 |   -0.2388 |   -0.8793 |
+#&gt; |.....................|   -0.7951 |    -1.065 |   -0.5686 |   -0.8593 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2194 |...........|...........|</span>
+#&gt; |    U|     479.52958 |     91.33 |    -5.412 |   -0.9038 |    -2.198 |
+#&gt; |.....................|    -4.640 |    0.4075 |     1.094 |   0.05833 |
+#&gt; |.....................|    0.7908 |    0.7306 |     1.537 |    0.9676 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     2.000 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.52958</span> |     91.33 |  0.004464 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009655 |    0.6005 |     1.094 |   0.05833 |
+#&gt; |.....................|    0.7908 |    0.7306 |     1.537 |    0.9676 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     2.000 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.139 |     1.094 |   0.01046 |  -0.06226 |
+#&gt; |.....................|    0.3570 |    0.5194 |  -0.09592 |     1.421 |
+#&gt; |.....................|   -0.4323 |   0.06052 |   -0.5454 |    0.7071 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2962 |    -1.410 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   77</span>|     479.52646 |     1.003 |    -1.212 |   -0.9259 |   -0.9353 |
+#&gt; |.....................|    -1.028 |   -0.9968 |   -0.2384 |   -0.8797 |
+#&gt; |.....................|   -0.7949 |    -1.065 |   -0.5684 |   -0.8594 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2186 |...........|...........|</span>
+#&gt; |    U|     479.52646 |     91.26 |    -5.412 |   -0.9038 |    -2.198 |
+#&gt; |.....................|    -4.640 |    0.4073 |     1.094 |   0.05832 |
+#&gt; |.....................|    0.7909 |    0.7304 |     1.537 |    0.9675 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6966 |     2.001 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.52646</span> |     91.26 |  0.004461 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009653 |    0.6005 |     1.094 |   0.05832 |
+#&gt; |.....................|    0.7909 |    0.7304 |     1.537 |    0.9675 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6966 |     2.001 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -2.758 |     1.088 |  -0.05217 |  -0.05158 |
+#&gt; |.....................|    0.3593 |    0.5291 |  -0.05980 |     1.185 |
+#&gt; |.....................|   -0.4227 |    -2.218 |   -0.3659 |    0.8223 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2423 |    -1.392 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   78</span>|     479.52294 |     1.003 |    -1.213 |   -0.9258 |   -0.9352 |
+#&gt; |.....................|    -1.028 |   -0.9971 |   -0.2379 |   -0.8800 |
+#&gt; |.....................|   -0.7947 |    -1.064 |   -0.5681 |   -0.8596 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2178 |...........|...........|</span>
+#&gt; |    U|     479.52294 |     91.30 |    -5.413 |   -0.9037 |    -2.198 |
+#&gt; |.....................|    -4.641 |    0.4072 |     1.094 |   0.05831 |
+#&gt; |.....................|    0.7910 |    0.7311 |     1.537 |    0.9673 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6967 |     2.002 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.52294</span> |     91.30 |  0.004458 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009652 |    0.6004 |     1.094 |   0.05831 |
+#&gt; |.....................|    0.7910 |    0.7311 |     1.537 |    0.9673 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6967 |     2.002 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    0.7571 |     1.091 |  -0.01328 |  -0.05733 |
+#&gt; |.....................|    0.3573 |    0.5211 |  0.006105 |     1.423 |
+#&gt; |.....................|   -0.4119 |    0.1268 |    0.6771 |     1.465 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.3146 |    -1.386 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   79</span>|     479.52041 |     1.003 |    -1.213 |   -0.9258 |   -0.9352 |
+#&gt; |.....................|    -1.028 |   -0.9973 |   -0.2380 |   -0.8807 |
+#&gt; |.....................|   -0.7945 |    -1.064 |   -0.5684 |   -0.8604 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2172 |...........|...........|</span>
+#&gt; |    U|     479.52041 |     91.27 |    -5.413 |   -0.9037 |    -2.198 |
+#&gt; |.....................|    -4.641 |    0.4071 |     1.094 |   0.05829 |
+#&gt; |.....................|    0.7912 |    0.7311 |     1.537 |    0.9666 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     2.003 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.52041</span> |     91.27 |  0.004456 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009650 |    0.6004 |     1.094 |   0.05829 |
+#&gt; |.....................|    0.7912 |    0.7311 |     1.537 |    0.9666 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6965 |     2.003 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -2.400 |     1.087 |  -0.04852 |  -0.05189 |
+#&gt; |.....................|    0.3585 |    0.5236 |  -0.05100 |     1.183 |
+#&gt; |.....................|   -0.4319 |   0.01564 |    0.3566 |     1.324 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.3221 |    -1.379 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   80</span>|     479.51911 |     1.004 |    -1.214 |   -0.9258 |   -0.9352 |
+#&gt; |.....................|    -1.029 |   -0.9976 |   -0.2379 |   -0.8812 |
+#&gt; |.....................|   -0.7944 |    -1.064 |   -0.5686 |   -0.8609 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2166 |...........|...........|</span>
+#&gt; |    U|     479.51911 |     91.35 |    -5.414 |   -0.9037 |    -2.198 |
+#&gt; |.....................|    -4.641 |    0.4070 |     1.094 |   0.05828 |
+#&gt; |.....................|    0.7913 |    0.7310 |     1.537 |    0.9661 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     2.004 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.51911</span> |     91.35 |  0.004454 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009648 |    0.6004 |     1.094 |   0.05828 |
+#&gt; |.....................|    0.7913 |    0.7310 |     1.537 |    0.9661 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     2.004 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     5.458 |     1.092 |   0.04306 |  -0.06507 |
+#&gt; |.....................|    0.3552 |    0.5068 |  -0.06807 |     1.418 |
+#&gt; |.....................|   -0.4090 |    0.1358 |   -0.5109 |    0.5676 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2804 |    -1.390 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   81</span>|     479.51487 |     1.003 |    -1.215 |   -0.9258 |   -0.9352 |
+#&gt; |.....................|    -1.029 |   -0.9978 |   -0.2377 |   -0.8817 |
+#&gt; |.....................|   -0.7942 |    -1.064 |   -0.5685 |   -0.8612 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2158 |...........|...........|</span>
+#&gt; |    U|     479.51487 |     91.27 |    -5.415 |   -0.9037 |    -2.198 |
+#&gt; |.....................|    -4.641 |    0.4069 |     1.094 |   0.05826 |
+#&gt; |.....................|    0.7914 |    0.7307 |     1.537 |    0.9658 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6963 |     2.005 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.51487</span> |     91.27 |  0.004451 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009647 |    0.6003 |     1.094 |   0.05826 |
+#&gt; |.....................|    0.7914 |    0.7307 |     1.537 |    0.9658 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6963 |     2.005 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.582 |     1.084 |  -0.03533 |  -0.05340 |
+#&gt; |.....................|    0.3581 |    0.5175 |  -0.06480 |     1.157 |
+#&gt; |.....................|   -0.4224 |   0.03489 |   -0.5536 |    0.6041 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2386 |    -1.371 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   82</span>|     479.51208 |     1.004 |    -1.215 |   -0.9258 |   -0.9351 |
+#&gt; |.....................|    -1.029 |   -0.9981 |   -0.2375 |   -0.8823 |
+#&gt; |.....................|   -0.7939 |    -1.065 |   -0.5682 |   -0.8615 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2150 |...........|...........|</span>
+#&gt; |    U|     479.51208 |     91.34 |    -5.415 |   -0.9037 |    -2.197 |
+#&gt; |.....................|    -4.641 |    0.4067 |     1.094 |   0.05824 |
+#&gt; |.....................|    0.7916 |    0.7306 |     1.537 |    0.9655 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     2.006 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.51208</span> |     91.34 |  0.004449 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009645 |    0.6003 |     1.094 |   0.05824 |
+#&gt; |.....................|    0.7916 |    0.7306 |     1.537 |    0.9655 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     2.006 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.943 |     1.087 |   0.02817 |  -0.06279 |
+#&gt; |.....................|    0.3555 |    0.5065 |  -0.06060 |     1.305 |
+#&gt; |.....................|   -0.4115 |   0.06912 |    0.4865 |     1.240 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2990 |    -1.371 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   83</span>|     479.50842 |     1.003 |    -1.216 |   -0.9258 |   -0.9351 |
+#&gt; |.....................|    -1.029 |   -0.9984 |   -0.2372 |   -0.8827 |
+#&gt; |.....................|   -0.7937 |    -1.065 |   -0.5683 |   -0.8618 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2141 |...........|...........|</span>
+#&gt; |    U|     479.50842 |     91.29 |    -5.416 |   -0.9037 |    -2.197 |
+#&gt; |.....................|    -4.642 |    0.4066 |     1.095 |   0.05823 |
+#&gt; |.....................|    0.7918 |    0.7302 |     1.537 |    0.9652 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6962 |     2.007 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.50842</span> |     91.29 |  0.004446 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009643 |    0.6003 |     1.095 |   0.05823 |
+#&gt; |.....................|    0.7918 |    0.7302 |     1.537 |    0.9652 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6962 |     2.007 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.7463 |     1.081 |  -0.02105 |  -0.05532 |
+#&gt; |.....................|    0.3572 |    0.5118 |  -0.07839 |     1.134 |
+#&gt; |.....................|   -0.4206 |   0.01709 |   -0.5616 |    0.5218 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2429 |    -1.361 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   84</span>|     479.50515 |     1.004 |    -1.216 |   -0.9258 |   -0.9351 |
+#&gt; |.....................|    -1.029 |   -0.9987 |   -0.2372 |   -0.8834 |
+#&gt; |.....................|   -0.7935 |    -1.065 |   -0.5680 |   -0.8621 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2133 |...........|...........|</span>
+#&gt; |    U|     479.50515 |     91.33 |    -5.416 |   -0.9037 |    -2.197 |
+#&gt; |.....................|    -4.642 |    0.4065 |     1.095 |   0.05821 |
+#&gt; |.....................|    0.7919 |    0.7302 |     1.537 |    0.9649 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     2.008 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.50515</span> |     91.33 |  0.004443 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009641 |    0.6002 |     1.095 |   0.05821 |
+#&gt; |.....................|    0.7919 |    0.7302 |     1.537 |    0.9649 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     2.008 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   85</span>|     479.49887 |     1.004 |    -1.219 |   -0.9257 |   -0.9350 |
+#&gt; |.....................|    -1.030 |   -0.9997 |   -0.2363 |   -0.8851 |
+#&gt; |.....................|   -0.7928 |    -1.066 |   -0.5675 |   -0.8630 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2104 |...........|...........|</span>
+#&gt; |    U|     479.49887 |     91.39 |    -5.419 |   -0.9037 |    -2.197 |
+#&gt; |.....................|    -4.642 |    0.4060 |     1.095 |   0.05816 |
+#&gt; |.....................|    0.7925 |    0.7293 |     1.538 |    0.9641 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6963 |     2.011 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.49887</span> |     91.39 |  0.004434 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009634 |    0.6001 |     1.095 |   0.05816 |
+#&gt; |.....................|    0.7925 |    0.7293 |     1.538 |    0.9641 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6963 |     2.011 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     8.922 |     1.081 |    0.1004 |  -0.07252 |
+#&gt; |.....................|    0.3520 |    0.4871 |    0.2543 |     1.578 |
+#&gt; |.....................|   -0.3854 |   0.03465 |   -0.5794 |    0.4083 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2550 |    -1.344 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   86</span>|     479.48147 |     1.003 |    -1.221 |   -0.9257 |   -0.9348 |
+#&gt; |.....................|    -1.031 |    -1.001 |   -0.2344 |   -0.8861 |
+#&gt; |.....................|   -0.7921 |    -1.067 |   -0.5658 |   -0.8636 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2068 |...........|...........|</span>
+#&gt; |    U|     479.48147 |     91.29 |    -5.421 |   -0.9036 |    -2.197 |
+#&gt; |.....................|    -4.643 |    0.4054 |     1.096 |   0.05813 |
+#&gt; |.....................|    0.7930 |    0.7283 |     1.540 |    0.9635 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6963 |     2.016 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.48147</span> |     91.29 |  0.004421 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009626 |    0.6000 |     1.096 |   0.05813 |
+#&gt; |.....................|    0.7930 |    0.7283 |     1.540 |    0.9635 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6963 |     2.016 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   87</span>|     479.46291 |     1.003 |    -1.226 |   -0.9256 |   -0.9345 |
+#&gt; |.....................|    -1.032 |    -1.003 |   -0.2312 |   -0.8874 |
+#&gt; |.....................|   -0.7910 |    -1.069 |   -0.5631 |   -0.8644 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.2012 |...........|...........|</span>
+#&gt; |    U|     479.46291 |     91.29 |    -5.426 |   -0.9035 |    -2.197 |
+#&gt; |.....................|    -4.645 |    0.4045 |     1.097 |   0.05809 |
+#&gt; |.....................|    0.7937 |    0.7267 |     1.543 |    0.9627 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     2.022 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.46291</span> |     91.29 |  0.004402 |    0.2883 |    0.1111 |
+#&gt; |.....................|  0.009612 |    0.5998 |     1.097 |   0.05809 |
+#&gt; |.....................|    0.7937 |    0.7267 |     1.543 |    0.9627 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6964 |     2.022 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   88</span>|     479.38653 |     1.003 |    -1.248 |   -0.9250 |   -0.9332 |
+#&gt; |.....................|    -1.039 |    -1.013 |   -0.2154 |   -0.8940 |
+#&gt; |.....................|   -0.7859 |    -1.078 |   -0.5497 |   -0.8687 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.067 |   -0.1734 |...........|...........|</span>
+#&gt; |    U|     479.38653 |     91.26 |    -5.448 |   -0.9030 |    -2.196 |
+#&gt; |.....................|    -4.652 |    0.4000 |     1.104 |   0.05790 |
+#&gt; |.....................|    0.7975 |    0.7188 |     1.559 |    0.9587 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6966 |     2.056 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.38653</span> |     91.26 |  0.004306 |    0.2884 |    0.1113 |
+#&gt; |.....................|  0.009547 |    0.5987 |     1.104 |   0.05790 |
+#&gt; |.....................|    0.7975 |    0.7188 |     1.559 |    0.9587 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6966 |     2.056 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   89</span>|     479.33405 |     1.002 |    -1.333 |   -0.9226 |   -0.9281 |
+#&gt; |.....................|    -1.066 |    -1.051 |   -0.1533 |   -0.9198 |
+#&gt; |.....................|   -0.7659 |    -1.112 |   -0.4971 |   -0.8853 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.066 |  -0.06439 |...........|...........|</span>
+#&gt; |    U|     479.33405 |     91.15 |    -5.533 |   -0.9008 |    -2.190 |
+#&gt; |.....................|    -4.678 |    0.3823 |     1.129 |   0.05715 |
+#&gt; |.....................|    0.8121 |    0.6876 |     1.621 |    0.9427 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6975 |     2.188 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.33405</span> |     91.15 |  0.003953 |    0.2889 |    0.1119 |
+#&gt; |.....................|  0.009294 |    0.5944 |     1.129 |   0.05715 |
+#&gt; |.....................|    0.8121 |    0.6876 |     1.621 |    0.9427 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6975 |     2.188 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -22.35 |    0.8049 |    0.3265 |  -0.06456 |
+#&gt; |.....................|    0.3038 |    0.2091 |     1.763 |     1.473 |
+#&gt; |.....................|   -0.5535 |    -2.463 |     1.244 |   -0.6274 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.702 |   -0.2760 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   90</span>|     479.70817 |     1.005 |    -1.492 |   -0.9504 |   -0.9122 |
+#&gt; |.....................|    -1.121 |    -1.106 |   -0.1774 |   -0.9510 |
+#&gt; |.....................|   -0.7305 |    -1.145 |   -0.4385 |   -0.8800 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.177 |  -0.01012 |...........|...........|</span>
+#&gt; |    U|     479.70817 |     91.47 |    -5.692 |   -0.9256 |    -2.175 |
+#&gt; |.....................|    -4.734 |    0.3572 |     1.119 |   0.05625 |
+#&gt; |.....................|    0.8380 |    0.6579 |     1.691 |    0.9478 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6020 |     2.254 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.70817</span> |     91.47 |  0.003371 |    0.2838 |    0.1137 |
+#&gt; |.....................|  0.008794 |    0.5884 |     1.119 |   0.05625 |
+#&gt; |.....................|    0.8380 |    0.6579 |     1.691 |    0.9478 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6020 |     2.254 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   91</span>|     479.27063 |     1.005 |    -1.375 |   -0.9298 |   -0.9240 |
+#&gt; |.....................|    -1.080 |    -1.065 |   -0.1597 |   -0.9281 |
+#&gt; |.....................|   -0.7567 |    -1.120 |   -0.4820 |   -0.8839 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.095 |  -0.05030 |...........|...........|</span>
+#&gt; |    U|     479.27063 |     91.42 |    -5.575 |   -0.9073 |    -2.186 |
+#&gt; |.....................|    -4.693 |    0.3758 |     1.127 |   0.05692 |
+#&gt; |.....................|    0.8189 |    0.6801 |     1.639 |    0.9441 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6726 |     2.206 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.27063</span> |     91.42 |  0.003793 |    0.2876 |    0.1123 |
+#&gt; |.....................|  0.009162 |    0.5929 |     1.127 |   0.05692 |
+#&gt; |.....................|    0.8189 |    0.6801 |     1.639 |    0.9441 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6726 |     2.206 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.862 |    0.7516 |    0.3576 |  -0.07893 |
+#&gt; |.....................|    0.2806 |   -0.4298 |     1.369 |     1.213 |
+#&gt; |.....................|   -0.5227 |    -2.562 |     2.801 |    -1.010 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.234 |   -0.5388 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   92</span>|     479.18239 |     1.005 |    -1.423 |   -0.9401 |   -0.9189 |
+#&gt; |.....................|    -1.098 |    -1.064 |   -0.1729 |   -0.9195 |
+#&gt; |.....................|   -0.7414 |    -1.117 |   -0.4967 |   -0.8806 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04375 |...........|...........|</span>
+#&gt; |    U|     479.18239 |     91.43 |    -5.623 |   -0.9165 |    -2.181 |
+#&gt; |.....................|    -4.710 |    0.3764 |     1.121 |   0.05716 |
+#&gt; |.....................|    0.8300 |    0.6834 |     1.622 |    0.9472 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6830 |     2.213 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.18239</span> |     91.43 |  0.003613 |    0.2857 |    0.1129 |
+#&gt; |.....................|  0.009001 |    0.5930 |     1.121 |   0.05716 |
+#&gt; |.....................|    0.8300 |    0.6834 |     1.622 |    0.9472 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6830 |     2.213 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.797 |    0.6564 |   -0.1913 |  -0.04289 |
+#&gt; |.....................|    0.2359 |   -0.3012 |     1.209 |     1.124 |
+#&gt; |.....................|   -0.4349 |    -2.322 |     2.160 |   -0.7215 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1578 |   -0.4171 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   93</span>|     479.53483 |    0.9938 |    -1.508 |   -0.8927 |   -0.9141 |
+#&gt; |.....................|    -1.127 |    -1.054 |   -0.1802 |   -0.9016 |
+#&gt; |.....................|   -0.7110 |    -1.089 |   -0.5260 |   -0.8567 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.093 |  -0.01567 |...........|...........|</span>
+#&gt; |    U|     479.53483 |     90.44 |    -5.708 |   -0.8742 |    -2.177 |
+#&gt; |.....................|    -4.740 |    0.3812 |     1.118 |   0.05768 |
+#&gt; |.....................|    0.8523 |    0.7081 |     1.587 |    0.9700 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6741 |     2.248 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.53483</span> |     90.44 |  0.003320 |    0.2944 |    0.1134 |
+#&gt; |.....................|  0.008741 |    0.5942 |     1.118 |   0.05768 |
+#&gt; |.....................|    0.8523 |    0.7081 |     1.587 |    0.9700 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6741 |     2.248 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   94</span>|     479.57437 |    0.9943 |    -1.436 |   -0.9336 |   -0.9181 |
+#&gt; |.....................|    -1.102 |    -1.062 |   -0.1777 |   -0.9209 |
+#&gt; |.....................|   -0.7362 |    -1.106 |   -0.5073 |   -0.8753 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.084 |  -0.03890 |...........|...........|</span>
+#&gt; |    U|     479.57437 |     90.49 |    -5.636 |   -0.9106 |    -2.181 |
+#&gt; |.....................|    -4.715 |    0.3775 |     1.119 |   0.05712 |
+#&gt; |.....................|    0.8338 |    0.6933 |     1.609 |    0.9523 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6824 |     2.219 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.57437</span> |     90.49 |  0.003567 |    0.2869 |    0.1130 |
+#&gt; |.....................|  0.008961 |    0.5933 |     1.119 |   0.05712 |
+#&gt; |.....................|    0.8338 |    0.6933 |     1.609 |    0.9523 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6824 |     2.219 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   95</span>|     479.18328 |     1.003 |    -1.424 |   -0.9400 |   -0.9189 |
+#&gt; |.....................|    -1.098 |    -1.064 |   -0.1736 |   -0.9201 |
+#&gt; |.....................|   -0.7412 |    -1.115 |   -0.4980 |   -0.8802 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04351 |...........|...........|</span>
+#&gt; |    U|     479.18328 |     91.28 |    -5.624 |   -0.9164 |    -2.181 |
+#&gt; |.....................|    -4.711 |    0.3765 |     1.121 |   0.05715 |
+#&gt; |.....................|    0.8302 |    0.6847 |     1.620 |    0.9476 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6831 |     2.214 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.18328</span> |     91.28 |  0.003612 |    0.2857 |    0.1129 |
+#&gt; |.....................|  0.009000 |    0.5930 |     1.121 |   0.05715 |
+#&gt; |.....................|    0.8302 |    0.6847 |     1.620 |    0.9476 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6831 |     2.214 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   96</span>|     479.17990 |     1.004 |    -1.423 |   -0.9401 |   -0.9189 |
+#&gt; |.....................|    -1.098 |    -1.064 |   -0.1732 |   -0.9198 |
+#&gt; |.....................|   -0.7413 |    -1.116 |   -0.4973 |   -0.8805 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04364 |...........|...........|</span>
+#&gt; |    U|      479.1799 |     91.36 |    -5.623 |   -0.9164 |    -2.181 |
+#&gt; |.....................|    -4.710 |    0.3764 |     1.121 |   0.05716 |
+#&gt; |.....................|    0.8301 |    0.6840 |     1.621 |    0.9474 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6831 |     2.214 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      479.1799</span> |     91.36 |  0.003612 |    0.2857 |    0.1129 |
+#&gt; |.....................|  0.009001 |    0.5930 |     1.121 |   0.05716 |
+#&gt; |.....................|    0.8301 |    0.6840 |     1.621 |    0.9474 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6831 |     2.214 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.933 |    0.6514 |   -0.2757 |  -0.03244 |
+#&gt; |.....................|    0.2382 |   -0.2823 |     1.183 |     1.090 |
+#&gt; |.....................|   -0.4397 |    -2.345 |     2.145 |   -0.7620 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1240 |   -0.3947 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   97</span>|     479.17667 |     1.005 |    -1.424 |   -0.9399 |   -0.9189 |
+#&gt; |.....................|    -1.098 |    -1.064 |   -0.1735 |   -0.9200 |
+#&gt; |.....................|   -0.7411 |    -1.116 |   -0.4978 |   -0.8802 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04350 |...........|...........|</span>
+#&gt; |    U|     479.17667 |     91.44 |    -5.624 |   -0.9162 |    -2.181 |
+#&gt; |.....................|    -4.711 |    0.3765 |     1.121 |   0.05715 |
+#&gt; |.....................|    0.8302 |    0.6845 |     1.621 |    0.9476 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6831 |     2.214 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.17667</span> |     91.44 |  0.003611 |    0.2857 |    0.1129 |
+#&gt; |.....................|  0.009000 |    0.5930 |     1.121 |   0.05715 |
+#&gt; |.....................|    0.8302 |    0.6845 |     1.621 |    0.9476 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6831 |     2.214 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.521 |    0.6547 |   -0.1751 |  -0.04313 |
+#&gt; |.....................|    0.2353 |   -0.2995 |     1.118 |     1.121 |
+#&gt; |.....................|   -0.4506 |    -2.323 |     2.084 |   -0.7259 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1653 |   -0.4503 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   98</span>|     479.17418 |     1.004 |    -1.424 |   -0.9398 |   -0.9188 |
+#&gt; |.....................|    -1.098 |    -1.064 |   -0.1738 |   -0.9202 |
+#&gt; |.....................|   -0.7410 |    -1.115 |   -0.4983 |   -0.8800 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04335 |...........|...........|</span>
+#&gt; |    U|     479.17418 |     91.36 |    -5.624 |   -0.9161 |    -2.181 |
+#&gt; |.....................|    -4.711 |    0.3765 |     1.121 |   0.05714 |
+#&gt; |.....................|    0.8303 |    0.6850 |     1.620 |    0.9478 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6831 |     2.214 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.17418</span> |     91.36 |  0.003610 |    0.2857 |    0.1129 |
+#&gt; |.....................|  0.008999 |    0.5930 |     1.121 |   0.05714 |
+#&gt; |.....................|    0.8303 |    0.6850 |     1.620 |    0.9478 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6831 |     2.214 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.859 |    0.6491 |   -0.2708 |  -0.03145 |
+#&gt; |.....................|    0.2380 |   -0.2786 |     1.113 |     1.074 |
+#&gt; |.....................|   -0.4387 |    -2.285 |     2.045 |   -0.7498 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1354 |   -0.4011 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   99</span>|     479.17107 |     1.005 |    -1.424 |   -0.9396 |   -0.9188 |
+#&gt; |.....................|    -1.098 |    -1.064 |   -0.1740 |   -0.9204 |
+#&gt; |.....................|   -0.7408 |    -1.114 |   -0.4988 |   -0.8798 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04320 |...........|...........|</span>
+#&gt; |    U|     479.17107 |     91.44 |    -5.624 |   -0.9160 |    -2.181 |
+#&gt; |.....................|    -4.711 |    0.3766 |     1.121 |   0.05714 |
+#&gt; |.....................|    0.8305 |    0.6855 |     1.619 |    0.9480 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6831 |     2.214 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.17107</span> |     91.44 |  0.003609 |    0.2858 |    0.1129 |
+#&gt; |.....................|  0.008997 |    0.5930 |     1.121 |   0.05714 |
+#&gt; |.....................|    0.8305 |    0.6855 |     1.619 |    0.9480 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6831 |     2.214 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.569 |    0.6522 |   -0.1642 |  -0.04243 |
+#&gt; |.....................|    0.2349 |   -0.2958 |     1.101 |     1.106 |
+#&gt; |.....................|   -0.4222 |    -2.201 |     1.058 |   -0.2096 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2358 |   -0.4015 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  100</span>|     479.16873 |     1.004 |    -1.425 |   -0.9393 |   -0.9188 |
+#&gt; |.....................|    -1.099 |    -1.064 |   -0.1743 |   -0.9206 |
+#&gt; |.....................|   -0.7406 |    -1.114 |   -0.4991 |   -0.8797 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04303 |...........|...........|</span>
+#&gt; |    U|     479.16873 |     91.36 |    -5.625 |   -0.9158 |    -2.181 |
+#&gt; |.....................|    -4.711 |    0.3766 |     1.121 |   0.05713 |
+#&gt; |.....................|    0.8306 |    0.6860 |     1.619 |    0.9481 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6830 |     2.214 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.16873</span> |     91.36 |  0.003607 |    0.2858 |    0.1129 |
+#&gt; |.....................|  0.008996 |    0.5931 |     1.121 |   0.05713 |
+#&gt; |.....................|    0.8306 |    0.6860 |     1.619 |    0.9481 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6830 |     2.214 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.833 |    0.6464 |   -0.2551 |  -0.03020 |
+#&gt; |.....................|    0.2388 |   -0.2745 |     1.092 |     1.036 |
+#&gt; |.....................|   -0.4378 |    -2.238 |     1.100 |   -0.2036 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2823 |   -0.3907 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  101</span>|     479.16547 |     1.005 |    -1.426 |   -0.9390 |   -0.9187 |
+#&gt; |.....................|    -1.099 |    -1.063 |   -0.1745 |   -0.9206 |
+#&gt; |.....................|   -0.7403 |    -1.113 |   -0.4993 |   -0.8795 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04283 |...........|...........|</span>
+#&gt; |    U|     479.16547 |     91.42 |    -5.626 |   -0.9155 |    -2.181 |
+#&gt; |.....................|    -4.711 |    0.3767 |     1.121 |   0.05713 |
+#&gt; |.....................|    0.8308 |    0.6865 |     1.619 |    0.9483 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6830 |     2.215 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.16547</span> |     91.42 |  0.003605 |    0.2859 |    0.1129 |
+#&gt; |.....................|  0.008994 |    0.5931 |     1.121 |   0.05713 |
+#&gt; |.....................|    0.8308 |    0.6865 |     1.619 |    0.9483 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6830 |     2.215 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.367 |    0.6482 |   -0.1602 |  -0.03907 |
+#&gt; |.....................|    0.2347 |   -0.2874 |     1.147 |     1.057 |
+#&gt; |.....................|   -0.4142 |    -2.141 |     1.081 |   -0.1748 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2414 |   -0.4049 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  102</span>|     479.16316 |     1.004 |    -1.426 |   -0.9389 |   -0.9187 |
+#&gt; |.....................|    -1.099 |    -1.063 |   -0.1748 |   -0.9208 |
+#&gt; |.....................|   -0.7401 |    -1.113 |   -0.4996 |   -0.8794 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04264 |...........|...........|</span>
+#&gt; |    U|     479.16316 |     91.36 |    -5.626 |   -0.9154 |    -2.181 |
+#&gt; |.....................|    -4.711 |    0.3768 |     1.120 |   0.05713 |
+#&gt; |.....................|    0.8310 |    0.6872 |     1.618 |    0.9484 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6829 |     2.215 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.16316</span> |     91.36 |  0.003603 |    0.2859 |    0.1129 |
+#&gt; |.....................|  0.008992 |    0.5931 |     1.120 |   0.05713 |
+#&gt; |.....................|    0.8310 |    0.6872 |     1.618 |    0.9484 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6829 |     2.215 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.810 |    0.6431 |   -0.2376 |  -0.02872 |
+#&gt; |.....................|    0.2384 |   -0.2689 |     1.073 |     1.021 |
+#&gt; |.....................|   -0.4195 |    -2.179 |     2.025 |   -0.6985 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1403 |   -0.3873 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  103</span>|     479.15976 |     1.005 |    -1.427 |   -0.9385 |   -0.9187 |
+#&gt; |.....................|    -1.099 |    -1.063 |   -0.1751 |   -0.9208 |
+#&gt; |.....................|   -0.7399 |    -1.112 |   -0.5000 |   -0.8792 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04242 |...........|...........|</span>
+#&gt; |    U|     479.15976 |     91.41 |    -5.627 |   -0.9150 |    -2.181 |
+#&gt; |.....................|    -4.712 |    0.3768 |     1.120 |   0.05713 |
+#&gt; |.....................|    0.8311 |    0.6876 |     1.618 |    0.9486 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6829 |     2.215 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.15976</span> |     91.41 |  0.003601 |    0.2860 |    0.1129 |
+#&gt; |.....................|  0.008990 |    0.5931 |     1.120 |   0.05713 |
+#&gt; |.....................|    0.8311 |    0.6876 |     1.618 |    0.9486 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6829 |     2.215 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     1.385 |    0.6444 |   -0.1513 |  -0.03575 |
+#&gt; |.....................|    0.2363 |   -0.2788 |     1.057 |     1.037 |
+#&gt; |.....................|   -0.4304 |    -2.135 |     1.940 |   -0.6607 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1552 |   -0.4034 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  104</span>|     479.15697 |     1.004 |    -1.427 |   -0.9385 |   -0.9187 |
+#&gt; |.....................|    -1.099 |    -1.063 |   -0.1754 |   -0.9212 |
+#&gt; |.....................|   -0.7397 |    -1.111 |   -0.5007 |   -0.8790 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04228 |...........|...........|</span>
+#&gt; |    U|     479.15697 |     91.37 |    -5.627 |   -0.9150 |    -2.181 |
+#&gt; |.....................|    -4.712 |    0.3769 |     1.120 |   0.05712 |
+#&gt; |.....................|    0.8312 |    0.6883 |     1.617 |    0.9488 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6829 |     2.215 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.15697</span> |     91.37 |  0.003600 |    0.2860 |    0.1129 |
+#&gt; |.....................|  0.008990 |    0.5931 |     1.120 |   0.05712 |
+#&gt; |.....................|    0.8312 |    0.6883 |     1.617 |    0.9488 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6829 |     2.215 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -2.828 |    0.6406 |   -0.2090 |  -0.02895 |
+#&gt; |.....................|    0.2376 |   -0.2659 |     1.059 |    0.9695 |
+#&gt; |.....................|   -0.4112 |    -2.078 |     1.041 |   -0.1304 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2608 |   -0.3859 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  105</span>|     479.15524 |     1.005 |    -1.427 |   -0.9384 |   -0.9187 |
+#&gt; |.....................|    -1.099 |    -1.063 |   -0.1758 |   -0.9215 |
+#&gt; |.....................|   -0.7396 |    -1.111 |   -0.5010 |   -0.8789 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04216 |...........|...........|</span>
+#&gt; |    U|     479.15524 |     91.45 |    -5.627 |   -0.9149 |    -2.181 |
+#&gt; |.....................|    -4.712 |    0.3769 |     1.120 |   0.05711 |
+#&gt; |.....................|    0.8313 |    0.6888 |     1.617 |    0.9489 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6828 |     2.215 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.15524</span> |     91.45 |  0.003599 |    0.2860 |    0.1129 |
+#&gt; |.....................|  0.008989 |    0.5931 |     1.120 |   0.05711 |
+#&gt; |.....................|    0.8313 |    0.6888 |     1.617 |    0.9489 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6828 |     2.215 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     5.191 |    0.6447 |   -0.1017 |  -0.04048 |
+#&gt; |.....................|    0.2348 |   -0.2858 |     1.095 |     1.009 |
+#&gt; |.....................|   -0.3975 |    -1.983 |     1.956 |   -0.5702 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1591 |   -0.3996 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  106</span>|     479.15192 |     1.004 |    -1.428 |   -0.9381 |   -0.9186 |
+#&gt; |.....................|    -1.100 |    -1.063 |   -0.1760 |   -0.9214 |
+#&gt; |.....................|   -0.7393 |    -1.110 |   -0.5013 |   -0.8787 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04194 |...........|...........|</span>
+#&gt; |    U|     479.15192 |     91.38 |    -5.628 |   -0.9146 |    -2.181 |
+#&gt; |.....................|    -4.712 |    0.3770 |     1.120 |   0.05711 |
+#&gt; |.....................|    0.8315 |    0.6892 |     1.616 |    0.9490 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6828 |     2.216 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.15192</span> |     91.38 |  0.003597 |    0.2861 |    0.1129 |
+#&gt; |.....................|  0.008987 |    0.5932 |     1.120 |   0.05711 |
+#&gt; |.....................|    0.8315 |    0.6892 |     1.616 |    0.9490 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6828 |     2.216 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.012 |    0.6390 |   -0.1711 |  -0.03027 |
+#&gt; |.....................|    0.2366 |   -0.2653 |     1.098 |    0.9640 |
+#&gt; |.....................|   -0.4101 |    -2.024 |    0.9749 |   -0.1142 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2645 |   -0.3871 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  107</span>|     479.14897 |     1.005 |    -1.428 |   -0.9380 |   -0.9186 |
+#&gt; |.....................|    -1.100 |    -1.063 |   -0.1764 |   -0.9218 |
+#&gt; |.....................|   -0.7392 |    -1.110 |   -0.5017 |   -0.8787 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04178 |...........|...........|</span>
+#&gt; |    U|     479.14897 |     91.42 |    -5.628 |   -0.9146 |    -2.181 |
+#&gt; |.....................|    -4.712 |    0.3771 |     1.120 |   0.05710 |
+#&gt; |.....................|    0.8317 |    0.6900 |     1.616 |    0.9491 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6827 |     2.216 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.14897</span> |     91.42 |  0.003596 |    0.2861 |    0.1129 |
+#&gt; |.....................|  0.008986 |    0.5932 |     1.120 |   0.05710 |
+#&gt; |.....................|    0.8317 |    0.6900 |     1.616 |    0.9491 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6827 |     2.216 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  108</span>|     479.14773 |     1.005 |    -1.428 |   -0.9379 |   -0.9186 |
+#&gt; |.....................|    -1.100 |    -1.062 |   -0.1770 |   -0.9223 |
+#&gt; |.....................|   -0.7390 |    -1.109 |   -0.5022 |   -0.8786 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04159 |...........|...........|</span>
+#&gt; |    U|     479.14773 |     91.47 |    -5.628 |   -0.9145 |    -2.181 |
+#&gt; |.....................|    -4.712 |    0.3771 |     1.120 |   0.05708 |
+#&gt; |.....................|    0.8318 |    0.6909 |     1.615 |    0.9491 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6826 |     2.216 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.14773</span> |     91.47 |  0.003595 |    0.2861 |    0.1129 |
+#&gt; |.....................|  0.008985 |    0.5932 |     1.120 |   0.05708 |
+#&gt; |.....................|    0.8318 |    0.6909 |     1.615 |    0.9491 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6826 |     2.216 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     7.333 |    0.6414 |  -0.06030 |  -0.04156 |
+#&gt; |.....................|    0.2338 |   -0.2836 |     1.014 |     1.002 |
+#&gt; |.....................|   -0.3897 |    -1.922 |    0.8816 |   -0.1288 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.1940 |   -0.4011 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  109</span>|     479.14119 |     1.004 |    -1.430 |   -0.9374 |   -0.9185 |
+#&gt; |.....................|    -1.100 |    -1.062 |   -0.1775 |   -0.9218 |
+#&gt; |.....................|   -0.7383 |    -1.108 |   -0.5019 |   -0.8783 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04112 |...........|...........|</span>
+#&gt; |    U|     479.14119 |     91.39 |    -5.630 |   -0.9140 |    -2.181 |
+#&gt; |.....................|    -4.713 |    0.3774 |     1.119 |   0.05710 |
+#&gt; |.....................|    0.8323 |    0.6917 |     1.616 |    0.9495 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6826 |     2.217 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.14119</span> |     91.39 |  0.003588 |    0.2862 |    0.1129 |
+#&gt; |.....................|  0.008979 |    0.5933 |     1.119 |   0.05710 |
+#&gt; |.....................|    0.8323 |    0.6917 |     1.616 |    0.9495 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6826 |     2.217 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.4299 |    0.6321 |   -0.1435 |  -0.02760 |
+#&gt; |.....................|    0.2360 |   -0.2479 |     1.019 |    0.9518 |
+#&gt; |.....................|   -0.3967 |    -1.860 |     1.900 |   -0.5922 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1599 |   -0.3806 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  110</span>|     479.13501 |     1.005 |    -1.431 |   -0.9373 |   -0.9185 |
+#&gt; |.....................|    -1.101 |    -1.062 |   -0.1783 |   -0.9226 |
+#&gt; |.....................|   -0.7379 |    -1.106 |   -0.5035 |   -0.8778 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04080 |...........|...........|</span>
+#&gt; |    U|     479.13501 |     91.42 |    -5.631 |   -0.9139 |    -2.181 |
+#&gt; |.....................|    -4.713 |    0.3775 |     1.119 |   0.05707 |
+#&gt; |.....................|    0.8326 |    0.6932 |     1.614 |    0.9500 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6827 |     2.217 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.13501</span> |     91.42 |  0.003586 |    0.2862 |    0.1129 |
+#&gt; |.....................|  0.008977 |    0.5933 |     1.119 |   0.05707 |
+#&gt; |.....................|    0.8326 |    0.6932 |     1.614 |    0.9500 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6827 |     2.217 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.960 |    0.6324 |   -0.1010 |  -0.03176 |
+#&gt; |.....................|    0.2344 |   -0.2516 |    0.9454 |    0.8792 |
+#&gt; |.....................|   -0.3822 |    -1.742 |    0.9146 |  -0.04263 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2425 |   -0.3771 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  111</span>|     479.13244 |     1.004 |    -1.432 |   -0.9368 |   -0.9184 |
+#&gt; |.....................|    -1.101 |    -1.061 |   -0.1790 |   -0.9224 |
+#&gt; |.....................|   -0.7372 |    -1.105 |   -0.5036 |   -0.8775 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.04025 |...........|...........|</span>
+#&gt; |    U|     479.13244 |     91.33 |    -5.632 |   -0.9135 |    -2.181 |
+#&gt; |.....................|    -4.714 |    0.3778 |     1.119 |   0.05708 |
+#&gt; |.....................|    0.8331 |    0.6941 |     1.614 |    0.9502 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6825 |     2.218 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.13244</span> |     91.33 |  0.003580 |    0.2863 |    0.1130 |
+#&gt; |.....................|  0.008971 |    0.5933 |     1.119 |   0.05708 |
+#&gt; |.....................|    0.8331 |    0.6941 |     1.614 |    0.9502 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6825 |     2.218 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -5.808 |    0.6219 |   -0.1958 |  -0.01683 |
+#&gt; |.....................|    0.2369 |   -0.2179 |    0.9347 |    0.8364 |
+#&gt; |.....................|   -0.3987 |    -1.797 |    0.8150 |  -0.05765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2618 |   -0.3704 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  112</span>|     479.12666 |     1.004 |    -1.434 |   -0.9365 |   -0.9183 |
+#&gt; |.....................|    -1.102 |    -1.060 |   -0.1796 |   -0.9220 |
+#&gt; |.....................|   -0.7365 |    -1.104 |   -0.5033 |   -0.8772 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.03975 |...........|...........|</span>
+#&gt; |    U|     479.12666 |     91.40 |    -5.634 |   -0.9132 |    -2.181 |
+#&gt; |.....................|    -4.714 |    0.3782 |     1.118 |   0.05709 |
+#&gt; |.....................|    0.8336 |    0.6951 |     1.614 |    0.9505 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6824 |     2.218 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.12666</span> |     91.40 |  0.003574 |    0.2863 |    0.1130 |
+#&gt; |.....................|  0.008965 |    0.5934 |     1.118 |   0.05709 |
+#&gt; |.....................|    0.8336 |    0.6951 |     1.614 |    0.9505 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6824 |     2.218 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    0.9955 |    0.6218 |  -0.09617 |  -0.02448 |
+#&gt; |.....................|    0.2342 |   -0.2176 |    0.9924 |    0.8560 |
+#&gt; |.....................|   -0.3772 |    -1.645 |     1.883 |   -0.4422 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1320 |   -0.3750 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  113</span>|     479.12255 |     1.004 |    -1.436 |   -0.9361 |   -0.9182 |
+#&gt; |.....................|    -1.103 |    -1.060 |   -0.1805 |   -0.9221 |
+#&gt; |.....................|   -0.7358 |    -1.103 |   -0.5043 |   -0.8768 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.03920 |...........|...........|</span>
+#&gt; |    U|     479.12255 |     91.34 |    -5.636 |   -0.9129 |    -2.181 |
+#&gt; |.....................|    -4.715 |    0.3784 |     1.118 |   0.05709 |
+#&gt; |.....................|    0.8341 |    0.6962 |     1.613 |    0.9509 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6824 |     2.219 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.12255</span> |     91.34 |  0.003569 |    0.2864 |    0.1130 |
+#&gt; |.....................|  0.008960 |    0.5935 |     1.118 |   0.05709 |
+#&gt; |.....................|    0.8341 |    0.6962 |     1.613 |    0.9509 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6824 |     2.219 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.522 |    0.6133 |   -0.1571 |  -0.01492 |
+#&gt; |.....................|    0.2353 |   -0.1923 |    0.9045 |    0.7846 |
+#&gt; |.....................|   -0.3572 |    -1.629 |    0.8508 |   0.03564 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2811 |   -0.3561 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  114</span>|     479.11855 |     1.005 |    -1.437 |   -0.9356 |   -0.9182 |
+#&gt; |.....................|    -1.103 |    -1.059 |   -0.1812 |   -0.9217 |
+#&gt; |.....................|   -0.7351 |    -1.102 |   -0.5043 |   -0.8766 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.084 |  -0.03859 |...........|...........|</span>
+#&gt; |    U|     479.11855 |     91.41 |    -5.637 |   -0.9124 |    -2.181 |
+#&gt; |.....................|    -4.716 |    0.3787 |     1.118 |   0.05710 |
+#&gt; |.....................|    0.8346 |    0.6968 |     1.613 |    0.9510 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6823 |     2.220 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.11855</span> |     91.41 |  0.003562 |    0.2865 |    0.1130 |
+#&gt; |.....................|  0.008953 |    0.5936 |     1.118 |   0.05710 |
+#&gt; |.....................|    0.8346 |    0.6968 |     1.613 |    0.9510 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6823 |     2.220 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.813 |    0.6131 |  -0.03713 |  -0.02450 |
+#&gt; |.....................|    0.2319 |   -0.1976 |    0.8863 |    0.8390 |
+#&gt; |.....................|   -0.3589 |    -1.516 |    0.8806 |   -0.4426 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1647 |   -0.3784 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  115</span>|     479.11487 |     1.004 |    -1.439 |   -0.9352 |   -0.9181 |
+#&gt; |.....................|    -1.104 |    -1.058 |   -0.1819 |   -0.9213 |
+#&gt; |.....................|   -0.7344 |    -1.101 |   -0.5040 |   -0.8763 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.084 |  -0.03810 |...........|...........|</span>
+#&gt; |    U|     479.11487 |     91.37 |    -5.639 |   -0.9121 |    -2.180 |
+#&gt; |.....................|    -4.716 |    0.3790 |     1.117 |   0.05711 |
+#&gt; |.....................|    0.8352 |    0.6977 |     1.613 |    0.9514 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6823 |     2.220 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.11487</span> |     91.37 |  0.003555 |    0.2866 |    0.1130 |
+#&gt; |.....................|  0.008947 |    0.5936 |     1.117 |   0.05711 |
+#&gt; |.....................|    0.8352 |    0.6977 |     1.613 |    0.9514 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6823 |     2.220 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.684 |    0.6054 |  -0.08346 |  -0.01559 |
+#&gt; |.....................|    0.2328 |   -0.1708 |    0.9518 |    0.8099 |
+#&gt; |.....................|   -0.3621 |    -1.485 |    0.9267 |   -0.3776 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1041 |   -0.3537 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  116</span>|     479.11139 |     1.005 |    -1.441 |   -0.9347 |   -0.9181 |
+#&gt; |.....................|    -1.105 |    -1.058 |   -0.1829 |   -0.9211 |
+#&gt; |.....................|   -0.7337 |    -1.100 |   -0.5039 |   -0.8760 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.083 |  -0.03771 |...........|...........|</span>
+#&gt; |    U|     479.11139 |     91.41 |    -5.641 |   -0.9117 |    -2.180 |
+#&gt; |.....................|    -4.717 |    0.3792 |     1.117 |   0.05712 |
+#&gt; |.....................|    0.8357 |    0.6988 |     1.613 |    0.9517 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6824 |     2.221 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.11139</span> |     91.41 |  0.003549 |    0.2867 |    0.1130 |
+#&gt; |.....................|  0.008941 |    0.5937 |     1.117 |   0.05712 |
+#&gt; |.....................|    0.8357 |    0.6988 |     1.613 |    0.9517 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6824 |     2.221 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.241 |    0.6036 | 0.0009951 |  -0.02154 |
+#&gt; |.....................|    0.2300 |   -0.1727 |    0.8524 |    0.8311 |
+#&gt; |.....................|   -0.3642 |    -1.386 |     1.866 |   -0.3472 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1024 |   -0.3634 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  117</span>|     479.10851 |     1.004 |    -1.443 |   -0.9342 |   -0.9180 |
+#&gt; |.....................|    -1.105 |    -1.058 |   -0.1837 |   -0.9207 |
+#&gt; |.....................|   -0.7329 |    -1.100 |   -0.5043 |   -0.8759 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.084 |  -0.03710 |...........|...........|</span>
+#&gt; |    U|     479.10851 |     91.37 |    -5.643 |   -0.9112 |    -2.180 |
+#&gt; |.....................|    -4.718 |    0.3794 |     1.117 |   0.05713 |
+#&gt; |.....................|    0.8363 |    0.6988 |     1.613 |    0.9517 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6823 |     2.222 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.10851</span> |     91.37 |  0.003542 |    0.2868 |    0.1130 |
+#&gt; |.....................|  0.008933 |    0.5937 |     1.117 |   0.05713 |
+#&gt; |.....................|    0.8363 |    0.6988 |     1.613 |    0.9517 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6823 |     2.222 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.500 |    0.5956 |  -0.03344 |  -0.01385 |
+#&gt; |.....................|    0.2306 |   -0.1498 |    0.8910 |    0.8240 |
+#&gt; |.....................|   -0.3570 |    -1.405 |    0.8461 |   -0.3572 |
+#&gt; <span style='text-decoration: underline;'>|.....................|  -0.08808 |   -0.3487 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  118</span>|     479.10606 |     1.005 |    -1.445 |   -0.9338 |   -0.9180 |
+#&gt; |.....................|    -1.106 |    -1.057 |   -0.1846 |   -0.9207 |
+#&gt; |.....................|   -0.7320 |    -1.099 |   -0.5047 |   -0.8757 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.084 |  -0.03650 |...........|...........|</span>
+#&gt; |    U|     479.10606 |     91.43 |    -5.645 |   -0.9108 |    -2.180 |
+#&gt; |.....................|    -4.719 |    0.3796 |     1.116 |   0.05713 |
+#&gt; |.....................|    0.8369 |    0.6994 |     1.612 |    0.9519 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6822 |     2.222 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.10606</span> |     91.43 |  0.003535 |    0.2868 |    0.1130 |
+#&gt; |.....................|  0.008927 |    0.5938 |     1.116 |   0.05713 |
+#&gt; |.....................|    0.8369 |    0.6994 |     1.612 |    0.9519 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6822 |     2.222 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     5.260 |    0.5953 |   0.07226 |  -0.02302 |
+#&gt; |.....................|    0.2275 |   -0.1573 |    0.8150 |    0.8159 |
+#&gt; |.....................|   -0.3410 |    -1.340 |    0.8208 |    0.1422 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2750 |   -0.3500 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  119</span>|     479.10199 |     1.004 |    -1.447 |   -0.9337 |   -0.9181 |
+#&gt; |.....................|    -1.107 |    -1.057 |   -0.1854 |   -0.9204 |
+#&gt; |.....................|   -0.7311 |    -1.099 |   -0.5045 |   -0.8757 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.084 |  -0.03604 |...........|...........|</span>
+#&gt; |    U|     479.10199 |     91.37 |    -5.647 |   -0.9107 |    -2.180 |
+#&gt; |.....................|    -4.720 |    0.3799 |     1.116 |   0.05714 |
+#&gt; |.....................|    0.8375 |    0.6999 |     1.613 |    0.9520 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6821 |     2.223 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.10199</span> |     91.37 |  0.003528 |    0.2869 |    0.1130 |
+#&gt; |.....................|  0.008919 |    0.5938 |     1.116 |   0.05714 |
+#&gt; |.....................|    0.8375 |    0.6999 |     1.613 |    0.9520 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6821 |     2.223 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.7698 |    0.5858 | -0.004343 |  -0.01418 |
+#&gt; |.....................|    0.2278 |   -0.1298 |    0.8244 |    0.7686 |
+#&gt; |.....................|   -0.3575 |    -1.372 |    0.8320 |   -0.3359 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2977 |   -0.3384 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  120</span>|     479.09844 |     1.005 |    -1.448 |   -0.9337 |   -0.9180 |
+#&gt; |.....................|    -1.108 |    -1.056 |   -0.1863 |   -0.9208 |
+#&gt; |.....................|   -0.7304 |    -1.097 |   -0.5051 |   -0.8752 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.084 |  -0.03534 |...........|...........|</span>
+#&gt; |    U|     479.09844 |     91.43 |    -5.648 |   -0.9108 |    -2.180 |
+#&gt; |.....................|    -4.720 |    0.3801 |     1.116 |   0.05713 |
+#&gt; |.....................|    0.8381 |    0.7011 |     1.612 |    0.9524 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6817 |     2.224 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.09844</span> |     91.43 |  0.003523 |    0.2868 |    0.1130 |
+#&gt; |.....................|  0.008914 |    0.5939 |     1.116 |   0.05713 |
+#&gt; |.....................|    0.8381 |    0.7011 |     1.612 |    0.9524 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6817 |     2.224 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.894 |    0.5851 |   0.05981 |  -0.02077 |
+#&gt; |.....................|    0.2261 |   -0.1389 |    0.7622 |    0.7617 |
+#&gt; |.....................|   -0.3411 |    -1.236 |    0.7863 |    0.1583 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2091 |   -0.3951 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  121</span>|     479.09485 |     1.004 |    -1.450 |   -0.9338 |   -0.9180 |
+#&gt; |.....................|    -1.108 |    -1.056 |   -0.1867 |   -0.9202 |
+#&gt; |.....................|   -0.7295 |    -1.097 |   -0.5051 |   -0.8750 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.085 |  -0.03445 |...........|...........|</span>
+#&gt; |    U|     479.09485 |     91.37 |    -5.650 |   -0.9108 |    -2.180 |
+#&gt; |.....................|    -4.721 |    0.3803 |     1.116 |   0.05714 |
+#&gt; |.....................|    0.8388 |    0.7016 |     1.612 |    0.9526 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6813 |     2.225 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.09485</span> |     91.37 |  0.003517 |    0.2868 |    0.1130 |
+#&gt; |.....................|  0.008907 |    0.5939 |     1.116 |   0.05714 |
+#&gt; |.....................|    0.8388 |    0.7016 |     1.612 |    0.9526 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6813 |     2.225 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.077 |    0.5762 |  -0.02502 |  -0.01122 |
+#&gt; |.....................|    0.2275 |   -0.1137 |    0.7953 |    0.7347 |
+#&gt; |.....................|   -0.3473 |    -1.249 |    0.8683 |    0.1895 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2333 |   -0.3625 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  122</span>|     479.09211 |     1.005 |    -1.452 |   -0.9337 |   -0.9180 |
+#&gt; |.....................|    -1.109 |    -1.055 |   -0.1878 |   -0.9202 |
+#&gt; |.....................|   -0.7286 |    -1.096 |   -0.5055 |   -0.8752 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.085 |  -0.03372 |...........|...........|</span>
+#&gt; |    U|     479.09211 |     91.41 |    -5.652 |   -0.9107 |    -2.180 |
+#&gt; |.....................|    -4.722 |    0.3805 |     1.115 |   0.05714 |
+#&gt; |.....................|    0.8394 |    0.7021 |     1.612 |    0.9524 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6810 |     2.226 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.09211</span> |     91.41 |  0.003510 |    0.2868 |    0.1130 |
+#&gt; |.....................|  0.008900 |    0.5940 |     1.115 |   0.05714 |
+#&gt; |.....................|    0.8394 |    0.7021 |     1.612 |    0.9524 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6810 |     2.226 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     3.651 |    0.5754 |   0.04071 |  -0.01634 |
+#&gt; |.....................|    0.2261 |   -0.1150 |    0.8084 |    0.7089 |
+#&gt; |.....................|   -0.3268 |    -1.156 |    0.8610 |    0.1793 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2137 |   -0.3471 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  123</span>|     479.08947 |     1.004 |    -1.454 |   -0.9335 |   -0.9181 |
+#&gt; |.....................|    -1.110 |    -1.055 |   -0.1890 |   -0.9199 |
+#&gt; |.....................|   -0.7277 |    -1.096 |   -0.5056 |   -0.8754 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.085 |  -0.03307 |...........|...........|</span>
+#&gt; |    U|     479.08947 |     91.37 |    -5.654 |   -0.9105 |    -2.180 |
+#&gt; |.....................|    -4.722 |    0.3808 |     1.115 |   0.05715 |
+#&gt; |.....................|    0.8401 |    0.7021 |     1.611 |    0.9522 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6809 |     2.226 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.08947</span> |     91.37 |  0.003504 |    0.2869 |    0.1130 |
+#&gt; |.....................|  0.008893 |    0.5941 |     1.115 |   0.05715 |
+#&gt; |.....................|    0.8401 |    0.7021 |     1.611 |    0.9522 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6809 |     2.226 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.8529 |    0.5679 | -0.006947 | -0.009666 |
+#&gt; |.....................|    0.2263 |  -0.09399 |    0.7582 |    0.6848 |
+#&gt; |.....................|   -0.3382 |    -1.232 |    0.7736 |   -0.3452 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1950 |   -0.3796 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  124</span>|     479.08673 |     1.005 |    -1.456 |   -0.9331 |   -0.9181 |
+#&gt; |.....................|    -1.111 |    -1.054 |   -0.1901 |   -0.9198 |
+#&gt; |.....................|   -0.7269 |    -1.095 |   -0.5060 |   -0.8751 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.085 |  -0.03242 |...........|...........|</span>
+#&gt; |    U|     479.08673 |     91.42 |    -5.656 |   -0.9102 |    -2.180 |
+#&gt; |.....................|    -4.723 |    0.3808 |     1.114 |   0.05716 |
+#&gt; |.....................|    0.8406 |    0.7030 |     1.611 |    0.9525 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6810 |     2.227 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.08673</span> |     91.42 |  0.003498 |    0.2870 |    0.1130 |
+#&gt; |.....................|  0.008887 |    0.5941 |     1.114 |   0.05716 |
+#&gt; |.....................|    0.8406 |    0.7030 |     1.611 |    0.9525 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6810 |     2.227 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.055 |    0.5667 |   0.07240 |  -0.01542 |
+#&gt; |.....................|    0.2241 |   -0.1033 |    0.7160 |    0.6904 |
+#&gt; |.....................|   -0.3260 |    -1.123 |    0.7675 |    0.1856 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.1986 |   -0.4973 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  125</span>|     479.08385 |     1.004 |    -1.457 |   -0.9328 |   -0.9181 |
+#&gt; |.....................|    -1.112 |    -1.054 |   -0.1908 |   -0.9191 |
+#&gt; |.....................|   -0.7261 |    -1.095 |   -0.5059 |   -0.8749 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.085 |  -0.03140 |...........|...........|</span>
+#&gt; |    U|     479.08385 |     91.37 |    -5.657 |   -0.9100 |    -2.180 |
+#&gt; |.....................|    -4.724 |    0.3808 |     1.114 |   0.05718 |
+#&gt; |.....................|    0.8412 |    0.7034 |     1.611 |    0.9527 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6808 |     2.228 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.08385</span> |     91.37 |  0.003491 |    0.2870 |    0.1130 |
+#&gt; |.....................|  0.008879 |    0.5941 |     1.114 |   0.05718 |
+#&gt; |.....................|    0.8412 |    0.7034 |     1.611 |    0.9527 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6808 |     2.228 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.7735 |    0.5583 |   0.01997 | -0.008335 |
+#&gt; |.....................|    0.2243 |  -0.08958 |    0.6952 |    0.6337 |
+#&gt; |.....................|   -0.3199 |    -1.102 |    0.8222 |    0.2014 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2310 |   -0.4538 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  126</span>|     479.08143 |     1.005 |    -1.459 |   -0.9328 |   -0.9181 |
+#&gt; |.....................|    -1.112 |    -1.054 |   -0.1918 |   -0.9191 |
+#&gt; |.....................|   -0.7254 |    -1.094 |   -0.5066 |   -0.8749 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.086 |  -0.03018 |...........|...........|</span>
+#&gt; |    U|     479.08143 |     91.42 |    -5.659 |   -0.9100 |    -2.180 |
+#&gt; |.....................|    -4.725 |    0.3810 |     1.113 |   0.05718 |
+#&gt; |.....................|    0.8417 |    0.7042 |     1.610 |    0.9527 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6804 |     2.230 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.08143</span> |     91.42 |  0.003486 |    0.2870 |    0.1130 |
+#&gt; |.....................|  0.008874 |    0.5941 |     1.113 |   0.05718 |
+#&gt; |.....................|    0.8417 |    0.7042 |     1.610 |    0.9527 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6804 |     2.230 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     4.589 |    0.5568 |   0.08446 |  -0.01637 |
+#&gt; |.....................|    0.2217 |  -0.09943 |    0.6530 |    0.6713 |
+#&gt; |.....................|   -0.3160 |    -1.044 |    0.6971 |   -0.3035 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2323 |   -0.3746 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  127</span>|     479.07858 |     1.004 |    -1.461 |   -0.9326 |   -0.9181 |
+#&gt; |.....................|    -1.113 |    -1.054 |   -0.1923 |   -0.9184 |
+#&gt; |.....................|   -0.7246 |    -1.093 |   -0.5066 |   -0.8747 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.086 |  -0.02916 |...........|...........|</span>
+#&gt; |    U|     479.07858 |     91.36 |    -5.661 |   -0.9098 |    -2.181 |
+#&gt; |.....................|    -4.725 |    0.3811 |     1.113 |   0.05720 |
+#&gt; |.....................|    0.8423 |    0.7045 |     1.610 |    0.9529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6802 |     2.231 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.07858</span> |     91.36 |  0.003479 |    0.2870 |    0.1130 |
+#&gt; |.....................|  0.008866 |    0.5941 |     1.113 |   0.05720 |
+#&gt; |.....................|    0.8423 |    0.7045 |     1.610 |    0.9529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6802 |     2.231 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.147 |    0.5485 |   0.01974 | -0.006990 |
+#&gt; |.....................|    0.2231 |  -0.08394 |    0.6583 |    0.6424 |
+#&gt; |.....................|   -0.3232 |    -1.114 |    0.8219 |    0.1886 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.1911 |   -0.3375 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  128</span>|     479.07618 |     1.004 |    -1.463 |   -0.9323 |   -0.9182 |
+#&gt; |.....................|    -1.114 |    -1.054 |   -0.1929 |   -0.9181 |
+#&gt; |.....................|   -0.7237 |    -1.093 |   -0.5068 |   -0.8746 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.086 |  -0.02850 |...........|...........|</span>
+#&gt; |    U|     479.07618 |     91.40 |    -5.663 |   -0.9095 |    -2.181 |
+#&gt; |.....................|    -4.726 |    0.3811 |     1.113 |   0.05721 |
+#&gt; |.....................|    0.8430 |    0.7050 |     1.610 |    0.9530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6800 |     2.232 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.07618</span> |     91.40 |  0.003472 |    0.2871 |    0.1130 |
+#&gt; |.....................|  0.008858 |    0.5941 |     1.113 |   0.05721 |
+#&gt; |.....................|    0.8430 |    0.7050 |     1.610 |    0.9530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6800 |     2.232 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.586 |    0.5458 |   0.07904 |  -0.01251 |
+#&gt; |.....................|    0.2203 |  -0.08960 |    0.6458 |    0.6586 |
+#&gt; |.....................|   -0.3031 |   -0.9906 |    0.7687 |    0.2646 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.1721 |   -0.3284 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  129</span>|     479.07405 |     1.004 |    -1.465 |   -0.9322 |   -0.9183 |
+#&gt; |.....................|    -1.115 |    -1.053 |   -0.1937 |   -0.9179 |
+#&gt; |.....................|   -0.7228 |    -1.093 |   -0.5070 |   -0.8747 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.087 |  -0.02798 |...........|...........|</span>
+#&gt; |    U|     479.07405 |     91.36 |    -5.665 |   -0.9094 |    -2.181 |
+#&gt; |.....................|    -4.727 |    0.3813 |     1.113 |   0.05721 |
+#&gt; |.....................|    0.8437 |    0.7050 |     1.610 |    0.9529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6797 |     2.233 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.07405</span> |     91.36 |  0.003465 |    0.2871 |    0.1130 |
+#&gt; |.....................|  0.008850 |    0.5942 |     1.113 |   0.05721 |
+#&gt; |.....................|    0.8437 |    0.7050 |     1.610 |    0.9529 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6797 |     2.233 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.296 |    0.5389 |   0.03360 | -0.006173 |
+#&gt; |.....................|    0.2208 |  -0.07255 |    0.6853 |    0.5995 |
+#&gt; |.....................|   -0.2906 |    -1.015 |    0.7685 |    0.2327 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.1765 |   -0.3245 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  130</span>|     479.07209 |     1.004 |    -1.467 |   -0.9321 |   -0.9183 |
+#&gt; |.....................|    -1.116 |    -1.053 |   -0.1949 |   -0.9178 |
+#&gt; |.....................|   -0.7220 |    -1.093 |   -0.5073 |   -0.8750 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.087 |  -0.02746 |...........|...........|</span>
+#&gt; |    U|     479.07209 |     91.39 |    -5.667 |   -0.9093 |    -2.181 |
+#&gt; |.....................|    -4.728 |    0.3814 |     1.112 |   0.05721 |
+#&gt; |.....................|    0.8442 |    0.7050 |     1.609 |    0.9526 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6796 |     2.233 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.07209</span> |     91.39 |  0.003458 |    0.2871 |    0.1130 |
+#&gt; |.....................|  0.008841 |    0.5942 |     1.112 |   0.05721 |
+#&gt; |.....................|    0.8442 |    0.7050 |     1.609 |    0.9526 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6796 |     2.233 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.160 |    0.5372 |   0.08826 |  -0.01153 |
+#&gt; |.....................|    0.2184 |  -0.07756 |    0.6386 |    0.6404 |
+#&gt; |.....................|   -0.2977 |   -0.9812 |    0.7463 |    0.2047 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.1647 |   -0.3238 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  131</span>|     479.07029 |     1.004 |    -1.469 |   -0.9320 |   -0.9184 |
+#&gt; |.....................|    -1.117 |    -1.053 |   -0.1960 |   -0.9175 |
+#&gt; |.....................|   -0.7213 |    -1.093 |   -0.5075 |   -0.8752 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.087 |  -0.02689 |...........|...........|</span>
+#&gt; |    U|     479.07029 |     91.35 |    -5.669 |   -0.9092 |    -2.181 |
+#&gt; |.....................|    -4.729 |    0.3815 |     1.112 |   0.05722 |
+#&gt; |.....................|    0.8447 |    0.7049 |     1.609 |    0.9524 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6795 |     2.234 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.07029</span> |     91.35 |  0.003451 |    0.2872 |    0.1130 |
+#&gt; |.....................|  0.008833 |    0.5942 |     1.112 |   0.05722 |
+#&gt; |.....................|    0.8447 |    0.7049 |     1.609 |    0.9524 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6795 |     2.234 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.487 |    0.5301 |   0.04502 | -0.006786 |
+#&gt; |.....................|    0.2180 |  -0.06576 |    0.6433 |    0.5523 |
+#&gt; |.....................|   -0.2822 |    -1.039 |     1.637 |   -0.2973 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2152 |   -0.3175 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  132</span>|     479.06833 |     1.004 |    -1.471 |   -0.9316 |   -0.9185 |
+#&gt; |.....................|    -1.118 |    -1.053 |   -0.1965 |   -0.9170 |
+#&gt; |.....................|   -0.7207 |    -1.093 |   -0.5082 |   -0.8751 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.087 |  -0.02616 |...........|...........|</span>
+#&gt; |    U|     479.06833 |     91.38 |    -5.671 |   -0.9088 |    -2.181 |
+#&gt; |.....................|    -4.730 |    0.3814 |     1.111 |   0.05724 |
+#&gt; |.....................|    0.8452 |    0.7048 |     1.608 |    0.9525 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6792 |     2.235 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.06833</span> |     91.38 |  0.003444 |    0.2872 |    0.1129 |
+#&gt; |.....................|  0.008825 |    0.5942 |     1.111 |   0.05724 |
+#&gt; |.....................|    0.8452 |    0.7048 |     1.608 |    0.9525 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6792 |     2.235 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    0.6466 |    0.5255 |   0.09166 |  -0.01288 |
+#&gt; |.....................|    0.2142 |  -0.07904 |    0.5622 |    0.5865 |
+#&gt; |.....................|   -0.2779 |    -1.008 |    0.7011 |    0.1998 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.1404 |   -0.3181 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  133</span>|     479.06868 |     1.003 |    -1.472 |   -0.9317 |   -0.9185 |
+#&gt; |.....................|    -1.118 |    -1.053 |   -0.1973 |   -0.9180 |
+#&gt; |.....................|   -0.7202 |    -1.092 |   -0.5093 |   -0.8754 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.087 |  -0.02567 |...........|...........|</span>
+#&gt; |    U|     479.06868 |     91.29 |    -5.672 |   -0.9090 |    -2.181 |
+#&gt; |.....................|    -4.731 |    0.3814 |     1.111 |   0.05721 |
+#&gt; |.....................|    0.8455 |    0.7062 |     1.607 |    0.9522 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6790 |     2.235 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.06868</span> |     91.29 |  0.003441 |    0.2872 |    0.1129 |
+#&gt; |.....................|  0.008822 |    0.5942 |     1.111 |   0.05721 |
+#&gt; |.....................|    0.8455 |    0.7062 |     1.607 |    0.9522 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6790 |     2.235 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  134</span>|     479.06735 |     1.004 |    -1.472 |   -0.9316 |   -0.9185 |
+#&gt; |.....................|    -1.118 |    -1.053 |   -0.1969 |   -0.9175 |
+#&gt; |.....................|   -0.7205 |    -1.092 |   -0.5087 |   -0.8753 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.087 |  -0.02593 |...........|...........|</span>
+#&gt; |    U|     479.06735 |     91.33 |    -5.672 |   -0.9089 |    -2.181 |
+#&gt; |.....................|    -4.730 |    0.3814 |     1.111 |   0.05722 |
+#&gt; |.....................|    0.8453 |    0.7054 |     1.608 |    0.9523 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6791 |     2.235 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.06735</span> |     91.33 |  0.003443 |    0.2872 |    0.1129 |
+#&gt; |.....................|  0.008823 |    0.5942 |     1.111 |   0.05722 |
+#&gt; |.....................|    0.8453 |    0.7054 |     1.608 |    0.9523 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6791 |     2.235 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.476 |    0.5223 |   0.03269 | -0.003763 |
+#&gt; |.....................|    0.2173 |  -0.06616 |    0.5281 |    0.5229 |
+#&gt; |.....................|   -0.3041 |    -1.023 |     1.607 |   -0.2773 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2325 |   -0.3192 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  135</span>|     479.06543 |     1.004 |    -1.472 |   -0.9319 |   -0.9185 |
+#&gt; |.....................|    -1.118 |    -1.053 |   -0.1968 |   -0.9175 |
+#&gt; |.....................|   -0.7201 |    -1.092 |   -0.5088 |   -0.8751 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.088 |  -0.02567 |...........|...........|</span>
+#&gt; |    U|     479.06543 |     91.36 |    -5.672 |   -0.9091 |    -2.181 |
+#&gt; |.....................|    -4.731 |    0.3815 |     1.111 |   0.05722 |
+#&gt; |.....................|    0.8456 |    0.7056 |     1.608 |    0.9525 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6790 |     2.235 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.06543</span> |     91.36 |  0.003439 |    0.2872 |    0.1129 |
+#&gt; |.....................|  0.008820 |    0.5942 |     1.111 |   0.05722 |
+#&gt; |.....................|    0.8456 |    0.7056 |     1.608 |    0.9525 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6790 |     2.235 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  136</span>|     479.06390 |     1.004 |    -1.474 |   -0.9324 |   -0.9185 |
+#&gt; |.....................|    -1.119 |    -1.053 |   -0.1965 |   -0.9174 |
+#&gt; |.....................|   -0.7194 |    -1.092 |   -0.5089 |   -0.8750 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.088 |  -0.02528 |...........|...........|</span>
+#&gt; |    U|      479.0639 |     91.36 |    -5.674 |   -0.9095 |    -2.181 |
+#&gt; |.....................|    -4.732 |    0.3816 |     1.111 |   0.05723 |
+#&gt; |.....................|    0.8461 |    0.7059 |     1.607 |    0.9526 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6786 |     2.236 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      479.0639</span> |     91.36 |  0.003434 |    0.2871 |    0.1129 |
+#&gt; |.....................|  0.008813 |    0.5943 |     1.111 |   0.05723 |
+#&gt; |.....................|    0.8461 |    0.7059 |     1.607 |    0.9526 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6786 |     2.236 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  137</span>|     479.05708 |     1.004 |    -1.481 |   -0.9346 |   -0.9186 |
+#&gt; |.....................|    -1.123 |    -1.051 |   -0.1952 |   -0.9171 |
+#&gt; |.....................|   -0.7164 |    -1.090 |   -0.5089 |   -0.8741 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.090 |  -0.02338 |...........|...........|</span>
+#&gt; |    U|     479.05708 |     91.37 |    -5.681 |   -0.9115 |    -2.181 |
+#&gt; |.....................|    -4.735 |    0.3824 |     1.112 |   0.05724 |
+#&gt; |.....................|    0.8483 |    0.7072 |     1.607 |    0.9535 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6769 |     2.238 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.05708</span> |     91.37 |  0.003409 |    0.2867 |    0.1129 |
+#&gt; |.....................|  0.008783 |    0.5944 |     1.112 |   0.05724 |
+#&gt; |.....................|    0.8483 |    0.7072 |     1.607 |    0.9535 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6769 |     2.238 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  138</span>|     479.03987 |     1.004 |    -1.510 |   -0.9434 |   -0.9188 |
+#&gt; |.....................|    -1.136 |    -1.045 |   -0.1899 |   -0.9157 |
+#&gt; |.....................|   -0.7043 |    -1.085 |   -0.5092 |   -0.8705 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.098 |  -0.01577 |...........|...........|</span>
+#&gt; |    U|     479.03987 |     91.37 |    -5.710 |   -0.9193 |    -2.181 |
+#&gt; |.....................|    -4.749 |    0.3852 |     1.114 |   0.05728 |
+#&gt; |.....................|    0.8571 |    0.7123 |     1.607 |    0.9569 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6702 |     2.247 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.03987</span> |     91.37 |  0.003311 |    0.2851 |    0.1129 |
+#&gt; |.....................|  0.008662 |    0.5951 |     1.114 |   0.05728 |
+#&gt; |.....................|    0.8571 |    0.7123 |     1.607 |    0.9569 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6702 |     2.247 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.3651 |    0.4285 |   -0.5283 | -0.001988 |
+#&gt; |.....................|    0.1991 |   0.06799 |    0.8278 |    0.7155 |
+#&gt; |.....................|   -0.2362 |   -0.3851 |    0.6274 |    0.1204 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.9270 |   -0.3308 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  139</span>|     479.01407 |     1.005 |    -1.553 |   -0.9371 |   -0.9187 |
+#&gt; |.....................|    -1.158 |    -1.041 |   -0.1978 |   -0.9162 |
+#&gt; |.....................|   -0.6881 |    -1.086 |   -0.5088 |   -0.8721 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.097 |  -0.01436 |...........|...........|</span>
+#&gt; |    U|     479.01407 |     91.44 |    -5.753 |   -0.9138 |    -2.181 |
+#&gt; |.....................|    -4.770 |    0.3869 |     1.111 |   0.05726 |
+#&gt; |.....................|    0.8690 |    0.7117 |     1.608 |    0.9554 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6704 |     2.249 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.01407</span> |     91.44 |  0.003172 |    0.2862 |    0.1129 |
+#&gt; |.....................|  0.008479 |    0.5955 |     1.111 |   0.05726 |
+#&gt; |.....................|    0.8690 |    0.7117 |     1.608 |    0.9554 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6704 |     2.249 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     7.322 |    0.3385 |  -0.09736 | -0.005783 |
+#&gt; |.....................|    0.1607 |    0.1322 |    0.5556 |    0.5176 |
+#&gt; |.....................|   -0.1562 |   -0.2690 |     1.549 |  -0.03161 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8578 |   -0.3240 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  140</span>|     478.99946 |     1.003 |    -1.595 |   -0.9294 |   -0.9194 |
+#&gt; |.....................|    -1.179 |    -1.045 |   -0.1992 |   -0.9136 |
+#&gt; |.....................|   -0.6715 |    -1.093 |   -0.5132 |   -0.8724 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.100 | -0.009543 |...........|...........|</span>
+#&gt; |    U|     478.99946 |     91.31 |    -5.795 |   -0.9069 |    -2.182 |
+#&gt; |.....................|    -4.791 |    0.3851 |     1.110 |   0.05734 |
+#&gt; |.....................|    0.8811 |    0.7049 |     1.602 |    0.9551 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6678 |     2.255 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.99946</span> |     91.31 |  0.003042 |    0.2876 |    0.1128 |
+#&gt; |.....................|  0.008303 |    0.5951 |     1.110 |   0.05734 |
+#&gt; |.....................|    0.8811 |    0.7049 |     1.602 |    0.9551 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6678 |     2.255 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -5.440 |    0.2525 |    0.1677 |  0.001517 |
+#&gt; |.....................|    0.1272 |   0.05864 |    0.6253 |    0.4352 |
+#&gt; |.....................|   -0.1457 |   -0.7321 |     1.353 | 0.0009973 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.018 |   -0.3498 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  141</span>|     479.00064 |     1.004 |    -1.626 |   -0.9429 |   -0.9240 |
+#&gt; |.....................|    -1.201 |    -1.064 |   -0.2165 |   -0.9169 |
+#&gt; |.....................|   -0.6612 |    -1.100 |   -0.5189 |   -0.8809 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.100 | -0.001744 |...........|...........|</span>
+#&gt; |    U|     479.00064 |     91.38 |    -5.826 |   -0.9189 |    -2.186 |
+#&gt; |.....................|    -4.814 |    0.3763 |     1.103 |   0.05724 |
+#&gt; |.....................|    0.8887 |    0.6986 |     1.596 |    0.9470 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6683 |     2.264 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.00064</span> |     91.38 |  0.002950 |    0.2852 |    0.1123 |
+#&gt; |.....................|  0.008117 |    0.5930 |     1.103 |   0.05724 |
+#&gt; |.....................|    0.8887 |    0.6986 |     1.596 |    0.9470 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6683 |     2.264 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  142</span>|     478.99385 |     1.004 |    -1.610 |   -0.9359 |   -0.9216 |
+#&gt; |.....................|    -1.190 |    -1.054 |   -0.2077 |   -0.9152 |
+#&gt; |.....................|   -0.6665 |    -1.096 |   -0.5161 |   -0.8765 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.100 | -0.005738 |...........|...........|</span>
+#&gt; |    U|     478.99385 |     91.39 |    -5.810 |   -0.9127 |    -2.184 |
+#&gt; |.....................|    -4.802 |    0.3808 |     1.107 |   0.05729 |
+#&gt; |.....................|    0.8848 |    0.7019 |     1.599 |    0.9512 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6681 |     2.260 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.99385</span> |     91.39 |  0.002997 |    0.2864 |    0.1126 |
+#&gt; |.....................|  0.008212 |    0.5941 |     1.107 |   0.05729 |
+#&gt; |.....................|    0.8848 |    0.7019 |     1.599 |    0.9512 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6681 |     2.260 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.499 |    0.2382 |  -0.03703 |  -0.03958 |
+#&gt; |.....................|   0.09629 |   -0.2111 |    0.3210 |    0.2393 |
+#&gt; |.....................|   -0.1233 |   -0.7892 |     1.126 |   -0.4047 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.051 |   -0.3984 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  143</span>|     478.98455 |     1.004 |    -1.625 |   -0.9347 |   -0.9200 |
+#&gt; |.....................|    -1.200 |    -1.054 |   -0.2131 |   -0.9088 |
+#&gt; |.....................|   -0.6653 |    -1.094 |   -0.5167 |   -0.8757 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.099 |  0.008183 |...........|...........|</span>
+#&gt; |    U|     478.98455 |     91.36 |    -5.825 |   -0.9116 |    -2.182 |
+#&gt; |.....................|    -4.813 |    0.3812 |     1.105 |   0.05748 |
+#&gt; |.....................|    0.8857 |    0.7042 |     1.598 |    0.9520 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6689 |     2.277 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.98455</span> |     91.36 |  0.002951 |    0.2867 |    0.1128 |
+#&gt; |.....................|  0.008125 |    0.5942 |     1.105 |   0.05748 |
+#&gt; |.....................|    0.8857 |    0.7042 |     1.598 |    0.9520 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6689 |     2.277 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.2799 |    0.1926 |  -0.02074 |  -0.02333 |
+#&gt; |.....................|   0.08052 |   -0.1468 |    0.2817 |    0.3348 |
+#&gt; |.....................|   -0.1470 |   -0.6425 |     1.062 |   -0.3208 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8181 |   -0.3186 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  144</span>|     478.97736 |     1.005 |    -1.639 |   -0.9325 |   -0.9174 |
+#&gt; |.....................|    -1.210 |    -1.043 |   -0.2100 |   -0.9166 |
+#&gt; |.....................|   -0.6557 |    -1.093 |   -0.5206 |   -0.8754 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.097 |   0.01446 |...........|...........|</span>
+#&gt; |    U|     478.97736 |     91.42 |    -5.839 |   -0.9097 |    -2.180 |
+#&gt; |.....................|    -4.822 |    0.3861 |     1.106 |   0.05725 |
+#&gt; |.....................|    0.8927 |    0.7053 |     1.594 |    0.9522 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6711 |     2.284 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97736</span> |     91.42 |  0.002912 |    0.2871 |    0.1131 |
+#&gt; |.....................|  0.008047 |    0.5953 |     1.106 |   0.05725 |
+#&gt; |.....................|    0.8927 |    0.7053 |     1.594 |    0.9522 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6711 |     2.284 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     5.719 |    0.1644 |    0.1764 | 0.0002018 |
+#&gt; |.....................|   0.06754 |    0.1935 |  -0.08189 |   -0.1310 |
+#&gt; |.....................|  -0.08678 |    -2.826 |    0.8338 |   -0.2552 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.4561 |   -0.1956 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  145</span>|     478.97194 |     1.004 |    -1.652 |   -0.9304 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2044 |   -0.9254 |
+#&gt; |.....................|   -0.6443 |    -1.087 |   -0.5238 |   -0.8740 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01749 |...........|...........|</span>
+#&gt; |    U|     478.97194 |     91.40 |    -5.852 |   -0.9078 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3880 |     1.108 |   0.05699 |
+#&gt; |.....................|    0.9010 |    0.7106 |     1.590 |    0.9536 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97194</span> |     91.40 |  0.002874 |    0.2875 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05699 |
+#&gt; |.....................|    0.9010 |    0.7106 |     1.590 |    0.9536 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.925 |    0.1117 |    0.2312 |   0.02461 |
+#&gt; |.....................|   0.04286 |    0.3818 |    0.1548 |   -0.1592 |
+#&gt; |.....................|  -0.04325 |   -0.1382 |    0.7430 |   -0.2262 |
+#&gt; <span style='text-decoration: underline;'>|.....................|  -0.01070 |   -0.1316 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  146</span>|     479.08778 |    0.9990 |    -1.662 |   -0.9298 |   -0.9158 |
+#&gt; |.....................|    -1.224 |    -1.050 |   -0.2095 |   -0.9175 |
+#&gt; |.....................|   -0.6325 |    -1.087 |   -0.5258 |   -0.8715 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.094 |   0.02816 |...........|...........|</span>
+#&gt; |    U|     479.08778 |     90.91 |    -5.862 |   -0.9073 |    -2.178 |
+#&gt; |.....................|    -4.836 |    0.3828 |     1.106 |   0.05722 |
+#&gt; |.....................|    0.9096 |    0.7103 |     1.587 |    0.9559 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6733 |     2.301 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.08778</span> |     90.91 |  0.002845 |    0.2876 |    0.1132 |
+#&gt; |.....................|  0.007936 |    0.5946 |     1.106 |   0.05722 |
+#&gt; |.....................|    0.9096 |    0.7103 |     1.587 |    0.9559 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6733 |     2.301 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  147</span>|     478.99303 |     1.002 |    -1.652 |   -0.9306 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2045 |   -0.9253 |
+#&gt; |.....................|   -0.6442 |    -1.087 |   -0.5244 |   -0.8738 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01760 |...........|...........|</span>
+#&gt; |    U|     478.99303 |     91.18 |    -5.852 |   -0.9080 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3879 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9011 |    0.7107 |     1.589 |    0.9537 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.99303</span> |     91.18 |  0.002874 |    0.2874 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9011 |    0.7107 |     1.589 |    0.9537 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  148</span>|     478.97158 |     1.004 |    -1.652 |   -0.9304 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2044 |   -0.9254 |
+#&gt; |.....................|   -0.6443 |    -1.087 |   -0.5239 |   -0.8740 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01751 |...........|...........|</span>
+#&gt; |    U|     478.97158 |     91.37 |    -5.852 |   -0.9078 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3880 |     1.108 |   0.05699 |
+#&gt; |.....................|    0.9010 |    0.7106 |     1.590 |    0.9536 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97158</span> |     91.37 |  0.002874 |    0.2874 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05699 |
+#&gt; |.....................|    0.9010 |    0.7106 |     1.590 |    0.9536 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.1518 |    0.1094 |    0.1916 |   0.02921 |
+#&gt; |.....................|   0.04385 |    0.3896 |   -0.2077 |   -0.4379 |
+#&gt; |.....................|  -0.03471 |    -2.421 |    0.7262 |   -0.1589 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   0.01110 |   -0.1305 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  149</span>|     478.97152 |     1.004 |    -1.652 |   -0.9304 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2044 |   -0.9254 |
+#&gt; |.....................|   -0.6443 |    -1.086 |   -0.5240 |   -0.8739 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01753 |...........|...........|</span>
+#&gt; |    U|     478.97152 |     91.37 |    -5.852 |   -0.9078 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3880 |     1.108 |   0.05699 |
+#&gt; |.....................|    0.9010 |    0.7109 |     1.590 |    0.9536 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97152</span> |     91.37 |  0.002874 |    0.2874 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05699 |
+#&gt; |.....................|    0.9010 |    0.7109 |     1.590 |    0.9536 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    C| Central Diff. |   -0.2246 |    0.1050 |    0.1574 |   0.02036 |
+#&gt; |.....................|   0.04103 |    0.3470 |   -0.3387 |   -0.1919 |
+#&gt; |.....................|   -0.1172 |   -0.1870 |    0.6243 |   -0.2341 |
+#&gt; <span style='text-decoration: underline;'>|.....................|  -0.06769 |   -0.1265 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  150</span>|     478.97142 |     1.004 |    -1.652 |   -0.9305 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2042 |   -0.9253 |
+#&gt; |.....................|   -0.6442 |    -1.086 |   -0.5242 |   -0.8739 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01757 |...........|...........|</span>
+#&gt; |    U|     478.97142 |     91.38 |    -5.852 |   -0.9079 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3879 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9011 |    0.7110 |     1.589 |    0.9537 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97142</span> |     91.38 |  0.002874 |    0.2874 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9011 |    0.7110 |     1.589 |    0.9537 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    C| Central Diff. |    0.5593 |    0.1052 |    0.1640 |   0.01900 |
+#&gt; |.....................|   0.04052 |    0.3419 |   -0.3227 |   -0.1646 |
+#&gt; |.....................|   -0.1158 |   -0.1768 |    0.1839 |   -0.2151 |
+#&gt; <span style='text-decoration: underline;'>|.....................|  -0.04116 |   -0.1006 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  151</span>|     478.97143 |     1.004 |    -1.652 |   -0.9306 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2041 |   -0.9252 |
+#&gt; |.....................|   -0.6442 |    -1.086 |   -0.5243 |   -0.8738 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01761 |...........|...........|</span>
+#&gt; |    U|     478.97143 |     91.36 |    -5.852 |   -0.9079 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3879 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9011 |    0.7110 |     1.589 |    0.9538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97143</span> |     91.36 |  0.002874 |    0.2874 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9011 |    0.7110 |     1.589 |    0.9538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  152</span>|     478.97137 |     1.004 |    -1.652 |   -0.9305 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2042 |   -0.9253 |
+#&gt; |.....................|   -0.6442 |    -1.086 |   -0.5242 |   -0.8738 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01759 |...........|...........|</span>
+#&gt; |    U|     478.97137 |     91.37 |    -5.852 |   -0.9079 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3879 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9011 |    0.7110 |     1.589 |    0.9537 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97137</span> |     91.37 |  0.002874 |    0.2874 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9011 |    0.7110 |     1.589 |    0.9537 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    C| Central Diff. |   -0.4660 |    0.1043 |    0.1497 |   0.02048 |
+#&gt; |.....................|   0.04080 |    0.3434 |   -0.3050 |   -0.1804 |
+#&gt; |.....................|   -0.2015 |    -1.954 |    0.1460 |   -0.2263 |
+#&gt; <span style='text-decoration: underline;'>|.....................|  -0.03239 |   -0.1147 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  153</span>|     478.97135 |     1.004 |    -1.652 |   -0.9305 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2041 |   -0.9253 |
+#&gt; |.....................|   -0.6441 |    -1.086 |   -0.5242 |   -0.8738 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01760 |...........|...........|</span>
+#&gt; |    U|     478.97135 |     91.36 |    -5.852 |   -0.9079 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3879 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9012 |    0.7110 |     1.589 |    0.9538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97135</span> |     91.36 |  0.002874 |    0.2874 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9012 |    0.7110 |     1.589 |    0.9538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    C| Central Diff. |   -0.8144 |    0.1038 |    0.1446 |   0.02101 |
+#&gt; |.....................|   0.04083 |    0.3431 |   -0.3133 |   -0.1844 |
+#&gt; |.....................|  -0.05440 |    -1.096 |    0.1463 |   -0.2004 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.2780 |   -0.1269 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  154</span>|     478.97125 |     1.004 |    -1.652 |   -0.9305 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2041 |   -0.9252 |
+#&gt; |.....................|   -0.6441 |    -1.086 |   -0.5243 |   -0.8738 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01762 |...........|...........|</span>
+#&gt; |    U|     478.97125 |     91.37 |    -5.852 |   -0.9079 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3879 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9012 |    0.7111 |     1.589 |    0.9538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97125</span> |     91.37 |  0.002874 |    0.2874 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9012 |    0.7111 |     1.589 |    0.9538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    C| Central Diff. |   0.03985 |    0.1039 |    0.1540 |   0.01970 |
+#&gt; |.....................|   0.04056 |    0.3392 |   -0.3415 |   -0.1666 |
+#&gt; |.....................|   -0.1386 |   -0.1574 |   0.08901 |   -0.2003 |
+#&gt; <span style='text-decoration: underline;'>|.....................|  -0.04000 |   -0.1187 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  155</span>|     478.97118 |     1.004 |    -1.652 |   -0.9306 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2040 |   -0.9252 |
+#&gt; |.....................|   -0.6440 |    -1.086 |   -0.5243 |   -0.8737 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01765 |...........|...........|</span>
+#&gt; |    U|     478.97118 |     91.37 |    -5.852 |   -0.9080 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3878 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9012 |    0.7112 |     1.589 |    0.9538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97118</span> |     91.37 |  0.002874 |    0.2874 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9012 |    0.7112 |     1.589 |    0.9538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    C| Central Diff. |  -0.05720 |    0.1036 |    0.1507 |   0.01972 |
+#&gt; |.....................|   0.04048 |    0.3375 |   -0.2940 |   -0.1684 |
+#&gt; |.....................|   -0.1979 |    -1.920 |    0.1339 |   -0.2027 |
+#&gt; <span style='text-decoration: underline;'>|.....................|  -0.04399 |   -0.1216 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>  156</span>|     478.97118 |     1.004 |    -1.652 |   -0.9306 |   -0.9153 |
+#&gt; |.....................|    -1.221 |    -1.039 |   -0.2040 |   -0.9252 |
+#&gt; |.....................|   -0.6440 |    -1.086 |   -0.5243 |   -0.8737 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.092 |   0.01765 |...........|...........|</span>
+#&gt; |    U|     478.97118 |     91.37 |    -5.852 |   -0.9080 |    -2.178 |
+#&gt; |.....................|    -4.833 |    0.3878 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9012 |    0.7112 |     1.589 |    0.9538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.97118</span> |     91.37 |  0.002874 |    0.2874 |    0.1133 |
+#&gt; |.....................|  0.007961 |    0.5958 |     1.108 |   0.05700 |
+#&gt; |.....................|    0.9012 |    0.7112 |     1.589 |    0.9538 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.6749 |     2.288 |...........|...........|</span>
+#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: last objective function was not at minimum, possible problems in optimization</span></div><div class='output co'>#&gt; <span class='warning'>Warning: using R matrix to calculate covariance, can check sandwich or S matrix with $covRS and $covS</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'>
+<span class='co'># Two-component error by variable is possible with both estimation methods</span>
+<span class='co'># Variance by variable is supported by 'saem' and 'focei'</span>
+<span class='va'>f_nlmixr_fomc_sfo_saem_obs_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_tc</span><span class='op'>[</span><span class='st'>"FOMC-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"saem"</span>,
+  error_model <span class='op'>=</span> <span class='st'>"obs_tc"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; 1:    92.0624   -5.2854    0.1952    1.9494   -1.9431    2.8500    1.6150    0.7315    0.7220    0.4370    6.8425    0.4265    7.3797    0.5659
+#&gt; 2:    92.7371   -5.3819    0.0345    2.0839   -2.0310    2.7075    1.5342    0.6949    0.8358    0.4151    7.2043    0.0003    8.1096    0.0003
+#&gt; 3:    9.2941e+01  -5.7880e+00   1.0336e-01   2.5772e+00  -1.5152e+00   2.5721e+00   1.4575e+00   6.6018e-01   7.9403e-01   3.9439e-01   4.5749e+00   1.5986e-05   5.1354e+00   2.8796e-05
+#&gt; 4:    92.6277   -5.8599    0.0858    2.5068   -1.3253    2.4435    1.3847    0.6272    0.7543    0.3747    3.4165    0.0001    3.9071    0.0016
+#&gt; 5:    93.0289   -6.0258    0.0528    2.4932   -1.1961    2.3213    1.3154    0.5958    0.7166    0.3559    3.2552    0.0069    3.3744    0.0170
+#&gt; 6:    93.2107   -6.2881    0.0143    2.4052   -1.1930    2.2053    2.2853    0.5660    0.6808    0.3381    2.8020    0.0086    3.1436    0.0256
+#&gt; 7:    93.0563   -6.3624   -0.0104    2.3989   -1.1521    2.0950    2.4414    0.5377    0.6467    0.3212    2.6528    0.0209    2.8462    0.0289
+#&gt; 8:    93.0567   -6.2699   -0.0303    2.3700   -1.0941    1.9903    2.5004    0.5204    0.6144    0.3052    2.3448    0.0314    2.5026    0.0349
+#&gt; 9:    92.8366   -6.2013   -0.0507    2.3798   -1.0963    1.8907    2.6552    0.4943    0.5837    0.2899    2.2219    0.0368    2.2604    0.0448
+#&gt; 10:    92.9069   -6.2499   -0.1116    2.3100   -1.0557    1.9625    3.9231    0.4696    0.5545    0.2754    2.0980    0.0359    2.1413    0.0325
+#&gt; 11:    92.9942   -6.2134   -0.1037    2.3109   -1.0441    1.8643    3.7270    0.4755    0.5268    0.2616    1.9711    0.0372    1.9901    0.0355
+#&gt; 12:    92.9262   -6.2511   -0.1133    2.2707   -1.0465    1.8430    4.3304    0.4697    0.5004    0.2486    1.8083    0.0346    1.9184    0.0356
+#&gt; 13:    93.0761   -6.3559   -0.1106    2.2534   -1.0162    2.4826    5.2857    0.4685    0.4754    0.2361    1.7896    0.0331    1.9865    0.0342
+#&gt; 14:    93.0929   -6.1852   -0.1058    2.2972   -1.0175    2.9964    5.0214    0.4451    0.4516    0.2243    1.8316    0.0309    1.9112    0.0348
+#&gt; 15:    93.3343   -6.3408   -0.1025    2.2905   -0.9962    3.1132    4.9630    0.4594    0.4291    0.2131    1.8198    0.0338    1.9154    0.0372
+#&gt; 16:    92.9959   -6.2227   -0.1016    2.2869   -1.0103    3.3338    4.7149    0.4598    0.4076    0.2025    1.8726    0.0327    1.9617    0.0361
+#&gt; 17:    93.0394   -6.2586   -0.1027    2.2932   -0.9991    3.1671    4.8730    0.4591    0.3872    0.1923    1.8405    0.0336    2.0192    0.0242
+#&gt; 18:    93.2374   -6.3410   -0.1110    2.2965   -0.9689    3.0087    5.4325    0.4632    0.3679    0.1827    1.9051    0.0351    1.9247    0.0277
+#&gt; 19:    93.0557   -6.4503   -0.1011    2.2941   -0.9884    2.8583    6.2872    0.4742    0.3495    0.1736    1.8054    0.0345    1.9173    0.0260
+#&gt; 20:    92.9280   -6.4945   -0.1018    2.2902   -0.9864    3.5934    6.8737    0.4751    0.3320    0.1649    1.7097    0.0372    1.9483    0.0225
+#&gt; 21:    93.2023   -6.3418   -0.1033    2.2846   -0.9863    3.4138    6.5300    0.4710    0.3154    0.1567    1.7507    0.0318    1.9030    0.0249
+#&gt; 22:    93.5494   -6.1985   -0.1078    2.2991   -1.0171    3.2431    6.2035    0.4475    0.2996    0.1488    1.7370    0.0342    1.8124    0.0282
+#&gt; 23:    93.3588   -6.2577   -0.1084    2.2654   -0.9956    3.0809    5.8933    0.4393    0.2869    0.1481    1.6928    0.0380    1.8288    0.0254
+#&gt; 24:    93.5705   -6.4876   -0.1083    2.2606   -1.0062    3.7095    6.7801    0.4459    0.2726    0.1684    1.7001    0.0377    1.9012    0.0249
+#&gt; 25:    93.9726   -6.5638   -0.1239    2.2374   -1.0071    5.1357    6.6571    0.4608    0.2755    0.1600    1.6615    0.0382    1.8846    0.0213
+#&gt; 26:    93.8894   -6.5073   -0.1120    2.2645   -1.0327    4.8789    6.3243    0.4473    0.3014    0.1520    1.7152    0.0340    1.8990    0.0254
+#&gt; 27:    94.5348   -6.3868   -0.0891    2.3139   -1.0361    5.3856    6.0081    0.4250    0.3080    0.1453    1.7028    0.0385    1.7853    0.0304
+#&gt; 28:    93.9221   -6.1747   -0.1039    2.3013   -1.0087    5.1163    5.7077    0.4214    0.3136    0.1634    1.6823    0.0340    1.7487    0.0353
+#&gt; 29:    93.4946   -6.0264   -0.0940    2.3124   -1.0166    5.3744    5.4223    0.4404    0.3114    0.1813    1.6310    0.0370    1.7646    0.0367
+#&gt; 30:    93.9287   -5.9114   -0.0967    2.3078   -1.0090    5.2017    5.1512    0.4381    0.3048    0.2091    1.5825    0.0393    1.7431    0.0312
+#&gt; 31:    93.7065   -6.0174   -0.0928    2.2917   -0.9880    5.1935    4.8936    0.4352    0.3109    0.1986    1.5876    0.0392    1.8465    0.0280
+#&gt; 32:    93.7675   -5.6444   -0.0918    2.3145   -0.9664    4.9338    4.6489    0.4332    0.3090    0.1918    1.6874    0.0332    1.7501    0.0331
+#&gt; 33:    94.2589   -5.7637   -0.0865    2.3130   -0.9733    4.6871    4.4165    0.4235    0.2935    0.1865    1.7173    0.0355    1.7365    0.0334
+#&gt; 34:    94.0788   -5.7432   -0.1022    2.3049   -0.9681    4.4528    4.1957    0.4319    0.2962    0.1772    1.6357    0.0361    1.4755    0.0574
+#&gt; 35:    94.0798   -5.8549   -0.0929    2.2856   -0.9849    4.2301    3.9859    0.4391    0.2937    0.1734    1.6460    0.0275    1.7739    0.0379
+#&gt; 36:    93.9997   -5.8708   -0.0890    2.2870   -1.0134    4.0186    3.7866    0.4268    0.2819    0.1840    1.5830    0.0258    1.8922    0.0320
+#&gt; 37:    93.8186   -5.8979   -0.0973    2.2807   -1.0197    3.8177    3.5973    0.4280    0.2778    0.1799    1.5783    0.0282    1.7697    0.0404
+#&gt; 38:    94.0728   -5.9601   -0.0936    2.3011   -1.0381    3.6268    3.4174    0.4186    0.2944    0.1864    1.5780    0.0294    1.5210    0.0558
+#&gt; 39:    94.0504   -5.8302   -0.0995    2.2847   -1.0418    3.4455    3.2465    0.4240    0.2796    0.1771    1.6888    0.0242    1.7744    0.0366
+#&gt; 40:    93.8918   -5.9418   -0.0988    2.2925   -1.0613    3.2732    3.0842    0.4144    0.2672    0.1837    1.7275    0.0232    1.7840    0.0357
+#&gt; 41:    93.7961   -6.0741   -0.0896    2.2932   -1.0359    3.1095    3.2890    0.4236    0.2606    0.1782    1.7591    0.0212    1.8920    0.0273
+#&gt; 42:    93.9458   -6.0319   -0.0909    2.3114   -1.0281    3.0544    3.1246    0.4196    0.2598    0.1839    1.6854    0.0310    1.7586    0.0308
+#&gt; 43:    93.7623   -6.0165   -0.1056    2.2837   -1.0378    3.9092    3.2100    0.4298    0.2468    0.1747    1.7064    0.0286    1.6676    0.0397
+#&gt; 44:    93.4300   -5.9019   -0.1114    2.2716   -1.0167    4.4100    3.0495    0.4476    0.2345    0.1687    1.7989    0.0253    1.7741    0.0299
+#&gt; 45:    93.3475   -5.9962   -0.1231    2.2546   -1.0007    6.4879    3.3965    0.4528    0.2452    0.1602    1.7283    0.0276    1.7219    0.0379
+#&gt; 46:    93.3100   -6.0073   -0.1255    2.2483   -0.9962    6.6009    3.5942    0.4520    0.2533    0.1568    1.6991    0.0258    1.1783    0.0706
+#&gt; 47:    93.4422   -5.8442   -0.1286    2.2578   -0.9819    6.2709    3.4145    0.4492    0.2637    0.1694    1.6754    0.0317    1.3442    0.0599
+#&gt; 48:    93.0996   -5.5881   -0.1307    2.2541   -0.9882    5.9573    3.2438    0.4480    0.2665    0.1695    1.7040    0.0285    1.6825    0.0426
+#&gt; 49:    93.3649   -5.8011   -0.1260    2.2595   -0.9704    5.7230    3.0816    0.4399    0.2646    0.1715    1.6544    0.0297    1.6414    0.0418
+#&gt; 50:    93.9331   -5.8731   -0.1195    2.2615   -0.9837    5.4368    2.9275    0.4453    0.2735    0.1940    1.6316    0.0289    1.6885    0.0392
+#&gt; 51:    93.6092   -5.8721   -0.1237    2.2599   -1.0015    5.1650    2.7811    0.4413    0.2865    0.1939    1.6492    0.0272    1.7686    0.0358
+#&gt; 52:    93.3008   -5.9775   -0.1277    2.2628   -0.9962    4.9067    3.1139    0.4438    0.2946    0.1963    1.5642    0.0337    1.7391    0.0335
+#&gt; 53:    93.6347   -6.0805   -0.1189    2.2663   -1.0177    4.6614    3.5169    0.4335    0.2962    0.2043    1.5275    0.0343    1.7417    0.0366
+#&gt; 54:    93.5781   -6.0412   -0.1166    2.2573   -1.0015    4.4283    3.3411    0.4395    0.2912    0.2080    1.5464    0.0346    1.7584    0.0359
+#&gt; 55:    93.9675   -6.0867   -0.0952    2.2970   -0.9987    4.2069    3.6762    0.4550    0.2780    0.1988    1.5138    0.0405    1.6251    0.0472
+#&gt; 56:    94.4069   -6.1375   -0.0943    2.2975   -1.0190    3.9966    4.2280    0.4550    0.2806    0.1945    1.5294    0.0425    1.6443    0.0468
+#&gt; 57:    93.8076   -6.1618   -0.0936    2.2687   -1.0237    3.7967    4.3085    0.4524    0.2666    0.1897    1.5227    0.0414    1.6955    0.0438
+#&gt; 58:    93.9188   -6.2272   -0.0947    2.2767   -1.0408    3.6069    4.6707    0.4536    0.2676    0.1873    1.5201    0.0425    1.5336    0.0550
+#&gt; 59:    93.9572   -6.3460   -0.1074    2.2746   -1.0069    3.4266    5.8058    0.4614    0.2718    0.1919    1.5533    0.0417    1.6227    0.0460
+#&gt; 60:    93.5430   -6.1622   -0.1048    2.2861   -0.9959    3.2552    5.5155    0.4535    0.2848    0.1823    1.4745    0.0431    1.5242    0.0522
+#&gt; 61:    93.8016   -6.4079   -0.1065    2.2897   -1.0325    3.0925    5.9252    0.4583    0.2901    0.1732    1.5364    0.0365    1.4623    0.0550
+#&gt; 62:    93.4249   -6.2284   -0.0967    2.3126   -1.0208    2.9378    5.6289    0.4429    0.2756    0.1645    1.6111    0.0325    1.3996    0.0618
+#&gt; 63:    93.2335   -6.0996   -0.1051    2.3047   -0.9976    2.7909    5.3475    0.4292    0.2719    0.1633    1.6010    0.0326    1.5115    0.0494
+#&gt; 64:    92.7091   -6.1109   -0.1041    2.3032   -0.9746    3.2610    5.0801    0.4301    0.2793    0.1751    1.5979    0.0302    1.3867    0.0575
+#&gt; 65:    92.6059   -6.0049   -0.1077    2.3062   -0.9853    3.0979    4.8261    0.4316    0.2826    0.1714    1.6357    0.0272    1.3931    0.0543
+#&gt; 66:    92.7778   -6.0856   -0.1040    2.3057   -0.9828    2.9430    4.5848    0.4362    0.2888    0.1628    1.6126    0.0316    1.4340    0.0505
+#&gt; 67:    93.0325   -6.1775   -0.1085    2.3122   -0.9714    2.7959    4.3790    0.4464    0.2843    0.1547    1.6090    0.0354    1.4966    0.0448
+#&gt; 68:    92.8987   -5.8741   -0.1089    2.3184   -0.9567    2.6561    4.1601    0.4389    0.2866    0.1470    1.5888    0.0347    1.4492    0.0507
+#&gt; 69:    92.7300   -6.0473   -0.1070    2.3082   -0.9739    2.5233    4.0183    0.4371    0.3158    0.1527    1.5904    0.0298    1.5387    0.0477
+#&gt; 70:    92.5285   -6.0962   -0.1115    2.3179   -0.9785    2.4856    4.0612    0.4380    0.3059    0.1504    1.5237    0.0402    1.4541    0.0463
+#&gt; 71:    92.3975   -6.2090   -0.1269    2.2819   -0.9713    2.3613    4.3811    0.4173    0.2906    0.1520    1.5388    0.0316    1.3713    0.0584
+#&gt; 72:    92.1593   -6.2214   -0.1217    2.2950   -0.9481    2.2433    5.1205    0.4227    0.2760    0.1605    1.5431    0.0312    1.5797    0.0459
+#&gt; 73:    92.1195   -6.6667   -0.1244    2.3076   -0.9642    2.1311    7.6538    0.4124    0.2622    0.1525    1.4505    0.0375    1.2810    0.0595
+#&gt; 74:    92.2191   -6.6665   -0.1278    2.2989   -0.9703    2.0246    7.2711    0.4098    0.2491    0.1666    1.4309    0.0384    1.2717    0.0638
+#&gt; 75:    92.4656   -6.8881   -0.1274    2.3011   -0.9595    1.9233    8.3835    0.4147    0.2367    0.1656    1.4181    0.0424    1.2498    0.0620
+#&gt; 76:    92.4593   -6.2323   -0.1203    2.2912   -0.9799    1.8272    7.9643    0.3967    0.2301    0.1596    1.5448    0.0336    1.6758    0.0359
+#&gt; 77:    92.4501   -6.1123   -0.1219    2.2889   -0.9426    1.7358    7.5661    0.4049    0.2299    0.1594    1.5380    0.0327    1.6947    0.0364
+#&gt; 78:    92.5059   -6.0339   -0.1198    2.2985   -0.9544    1.6490    7.1878    0.4007    0.2422    0.1568    1.5722    0.0302    1.5665    0.0415
+#&gt; 79:    92.4302   -6.6428   -0.1141    2.3119   -0.9421    1.5666    9.0889    0.3986    0.2340    0.1489    1.5029    0.0306    1.1894    0.0638
+#&gt; 80:    92.5305   -6.3036   -0.1127    2.3099   -0.9406    1.9062    8.6344    0.4091    0.2327    0.1648    1.5558    0.0308    1.0136    0.0749
+#&gt; 81:    92.6652   -6.0832   -0.1167    2.2994   -0.9552    2.3641    8.2027    0.4142    0.2348    0.1566    1.6232    0.0300    1.1320    0.0712
+#&gt; 82:    92.5109   -6.1524   -0.1100    2.3037   -0.9686    2.2459    7.7926    0.4145    0.2381    0.1695    1.6128    0.0306    1.6145    0.0413
+#&gt; 83:    92.6455   -6.3979   -0.1059    2.3245   -0.9573    2.1336    8.1077    0.4060    0.2348    0.1667    1.6039    0.0304    1.6251    0.0419
+#&gt; 84:    92.5768   -6.3469   -0.0979    2.3177   -0.9346    2.0269    8.2125    0.4141    0.2439    0.1720    1.6334    0.0302    1.5803    0.0450
+#&gt; 85:    92.7920   -6.3536   -0.0969    2.3363   -0.9389    1.9256    8.1820    0.4035    0.2512    0.1713    1.5815    0.0338    1.1193    0.0719
+#&gt; 86:    92.8571   -6.2567   -0.0911    2.3426   -0.9633    1.8293    8.1211    0.4008    0.2659    0.1627    1.5840    0.0356    1.2425    0.0639
+#&gt; 87:    92.9101   -6.1557   -0.0937    2.3326   -0.9624    1.7378    7.7151    0.3950    0.2839    0.1546    1.6017    0.0354    1.0600    0.0766
+#&gt; 88:    92.7649   -6.2151   -0.0881    2.3275   -0.9967    1.6509    7.3293    0.4046    0.2697    0.1469    1.6092    0.0302    1.1839    0.0693
+#&gt; 89:    92.9350   -5.9222   -0.0903    2.3372   -0.9612    1.5684    6.9628    0.4058    0.2818    0.1395    1.5957    0.0335    1.5450    0.0444
+#&gt; 90:    92.7895   -5.9348   -0.0890    2.3457   -0.9601    1.4900    6.6147    0.4070    0.2705    0.1430    1.5716    0.0378    1.4918    0.0439
+#&gt; 91:    93.0113   -5.9302   -0.0997    2.3316   -0.9489    1.4155    6.2840    0.4424    0.2929    0.1410    1.5582    0.0377    1.2459    0.0582
+#&gt; 92:    92.8603   -6.3366   -0.0918    2.3356   -0.9938    1.3447    5.9698    0.4287    0.2929    0.1531    1.4906    0.0398    1.2421    0.0605
+#&gt; 93:    92.8094   -6.1097   -0.0953    2.3382   -0.9996    1.2775    5.6713    0.4309    0.2783    0.1597    1.4317    0.0468    1.2694    0.0584
+#&gt; 94:    92.7100   -6.1043   -0.0909    2.3287   -0.9928    1.3828    5.3877    0.4337    0.2698    0.1517    1.4173    0.0489    1.4335    0.0476
+#&gt; 95:    92.2055   -6.1792   -0.0889    2.3553   -0.9983    1.3137    5.1183    0.4209    0.3273    0.1566    1.4865    0.0417    1.2485    0.0681
+#&gt; 96:    92.3225   -6.2710   -0.0811    2.3734   -1.0043    1.3428    4.8624    0.4121    0.3110    0.1532    1.5817    0.0374    1.5209    0.0532
+#&gt; 97:    92.2983   -6.3023   -0.0776    2.3615   -0.9801    1.2757    4.6193    0.4221    0.3018    0.1455    1.5971    0.0337    1.2137    0.0719
+#&gt; 98:    92.1433   -6.3114   -0.0935    2.3269   -0.9866    1.2227    4.8121    0.4327    0.2907    0.1694    1.5524    0.0303    1.1779    0.0727
+#&gt; 99:    92.1631   -6.3090   -0.0908    2.3197   -0.9891    1.1615    4.9271    0.4169    0.2859    0.1736    1.5303    0.0334    1.6227    0.0511
+#&gt; 100:    92.1185   -6.3603   -0.0950    2.3280   -1.0209    1.1035    5.0957    0.4213    0.2924    0.1817    1.5991    0.0330    1.7197    0.0445
+#&gt; 101:    92.3964   -6.0447   -0.0898    2.3347   -1.0164    1.0483    4.8409    0.4251    0.2778    0.1727    1.5708    0.0422    1.6197    0.0461
+#&gt; 102:    92.6597   -6.2545   -0.0954    2.3264   -1.0206    0.9959    4.5989    0.4218    0.2736    0.1640    1.5853    0.0408    1.5912    0.0455
+#&gt; 103:    92.7866   -6.3292   -0.0933    2.3148   -1.0013    0.9461    4.8935    0.4234    0.2599    0.1688    1.6299    0.0399    1.5921    0.0445
+#&gt; 104:    92.8098   -6.2608   -0.1009    2.3014   -0.9947    0.8988    4.7750    0.4306    0.2548    0.1813    1.6363    0.0378    1.6713    0.0427
+#&gt; 105:    92.8300   -5.9827   -0.1028    2.3155   -0.9896    0.8538    4.5362    0.4339    0.2664    0.1722    1.6079    0.0397    1.3691    0.0573
+#&gt; 106:    92.8218   -6.1138   -0.1024    2.3462   -0.9750    0.8299    4.3094    0.4494    0.2530    0.1636    1.5761    0.0389    1.2857    0.0595
+#&gt; 107:    92.9304   -6.0063   -0.1002    2.3269   -0.9778    0.7884    4.0939    0.4600    0.2404    0.1620    1.6499    0.0373    1.2101    0.0675
+#&gt; 108:    92.9072   -6.0928   -0.0991    2.3183   -0.9732    0.7489    4.4394    0.4584    0.2518    0.1539    1.6509    0.0332    1.2346    0.0670
+#&gt; 109:    92.7504   -6.1545   -0.0862    2.3423   -0.9618    0.7115    4.7501    0.4371    0.2766    0.1465    1.5755    0.0349    1.1552    0.0701
+#&gt; 110:    92.9277   -6.3786   -0.0904    2.3468   -0.9402    0.6759    5.8620    0.4328    0.2821    0.1703    1.4661    0.0439    1.3292    0.0609
+#&gt; 111:    92.8023   -5.8686   -0.0886    2.3653   -0.9417    0.7635    5.5689    0.4288    0.2680    0.1618    1.4278    0.0502    1.4715    0.0468
+#&gt; 112:    92.9411   -5.8095   -0.0883    2.3625   -0.9322    0.8592    5.2905    0.4562    0.2586    0.1537    1.3920    0.0513    1.1766    0.0648
+#&gt; 113:    92.9845   -6.0499   -0.0761    2.3626   -0.9533    0.8163    5.0259    0.4403    0.2595    0.1532    1.4306    0.0450    1.1416    0.0645
+#&gt; 114:    92.7735   -6.0605   -0.0694    2.3497   -0.9646    0.7754    4.7746    0.4394    0.2682    0.1576    1.4866    0.0344    1.1127    0.0745
+#&gt; 115:    92.7048   -6.1327   -0.0702    2.3427   -0.9910    0.7367    4.5359    0.4257    0.2736    0.1497    1.5045    0.0413    1.2783    0.0677
+#&gt; 116:    92.7131   -6.0115   -0.0751    2.3370   -0.9899    0.6998    4.3091    0.4187    0.2638    0.1422    1.6036    0.0325    1.1109    0.0748
+#&gt; 117:    92.7720   -5.9163   -0.0709    2.3503   -0.9566    0.6648    4.0937    0.4185    0.2555    0.1417    1.6016    0.0297    1.0778    0.0774
+#&gt; 118:    92.9182   -5.9312   -0.0812    2.3436   -0.9731    0.6316    3.8890    0.4084    0.2667    0.1400    1.5698    0.0320    1.2364    0.0665
+#&gt; 119:    92.9546   -5.9622   -0.0870    2.3330   -0.9934    0.6000    3.6945    0.4035    0.2867    0.1486    1.5364    0.0343    1.5892    0.0489
+#&gt; 120:    92.9168   -6.0966   -0.0905    2.3301   -1.0045    0.5700    3.6677    0.3988    0.2871    0.1567    1.5378    0.0349    1.0886    0.0796
+#&gt; 121:    92.7767   -6.1038   -0.0802    2.3396   -0.9815    0.5981    4.3032    0.3803    0.2884    0.1684    1.4788    0.0335    1.0886    0.0796
+#&gt; 122:    92.8439   -6.2425   -0.0799    2.3323   -0.9987    0.6537    4.5745    0.3884    0.2834    0.1600    1.4786    0.0346    1.2146    0.0682
+#&gt; 123:    92.8219   -5.7869   -0.0872    2.3478   -0.9619    0.7886    4.3458    0.3951    0.2887    0.1658    1.4827    0.0341    1.3911    0.0559
+#&gt; 124:    92.7930   -5.7551   -0.0819    2.3559   -0.9809    0.8922    4.1285    0.3907    0.2972    0.1575    1.5329    0.0330    1.3824    0.0594
+#&gt; 125:    92.7488   -5.9406   -0.0819    2.3550   -0.9797    0.8476    3.9221    0.3907    0.2996    0.1733    1.5096    0.0333    1.3148    0.0667
+#&gt; 126:    92.7926   -5.7106   -0.0824    2.3560   -0.9653    0.8052    3.7260    0.3918    0.3018    0.1854    1.4237    0.0381    1.2607    0.0639
+#&gt; 127:    92.9153   -5.6682   -0.0717    2.3654   -0.9645    0.7649    3.5397    0.3722    0.2948    0.1784    1.4679    0.0415    1.2310    0.0695
+#&gt; 128:    92.8827   -5.7984   -0.0783    2.3813   -1.0047    1.1012    3.3627    0.3802    0.2997    0.1694    1.5187    0.0442    1.2884    0.0649
+#&gt; 129:    92.8727   -5.7191   -0.0785    2.3426   -0.9857    1.0461    3.1946    0.3784    0.2984    0.1610    1.4757    0.0398    1.1695    0.0775
+#&gt; 130:    92.8689   -5.8036   -0.0935    2.3123   -0.9783    0.9938    3.0348    0.4184    0.2980    0.1723    1.5143    0.0319    1.2298    0.0738
+#&gt; 131:    92.8733   -5.6707   -0.0988    2.3045   -0.9936    1.3313    2.8831    0.4277    0.2831    0.1816    1.5919    0.0329    1.5260    0.0533
+#&gt; 132:    92.5761   -5.7773   -0.0925    2.3211   -0.9661    1.2647    2.7389    0.4216    0.2815    0.1995    1.5306    0.0321    1.5863    0.0520
+#&gt; 133:    92.4512   -5.7800   -0.0920    2.3269   -0.9625    1.2015    2.6020    0.4242    0.2674    0.1955    1.5669    0.0288    1.4087    0.0606
+#&gt; 134:    92.5625   -5.7968   -0.0965    2.3271   -0.9728    1.1414    2.4719    0.4201    0.2753    0.1945    1.5935    0.0311    1.5348    0.0534
+#&gt; 135:    92.3448   -5.6624   -0.0961    2.3303   -0.9600    1.0843    2.3483    0.4193    0.2728    0.1983    1.6245    0.0305    1.6281    0.0506
+#&gt; 136:    92.3407   -5.7523   -0.0932    2.3208   -0.9897    1.0301    2.3267    0.4107    0.2668    0.1884    1.5933    0.0358    1.2970    0.0657
+#&gt; 137:    92.3940   -6.0148   -0.1046    2.2981   -0.9866    0.9786    3.1382    0.4166    0.3012    0.1790    1.5077    0.0385    1.1944    0.0723
+#&gt; 138:    92.3556   -5.9912   -0.1039    2.2969   -0.9920    0.9297    3.2144    0.4208    0.3039    0.1703    1.5042    0.0378    1.2588    0.0717
+#&gt; 139:    92.5548   -5.9253   -0.1177    2.2723   -1.0079    0.8832    3.2648    0.4049    0.3263    0.1618    1.5558    0.0382    1.2673    0.0698
+#&gt; 140:    92.6546   -6.0596   -0.1368    2.2659   -0.9922    0.8390    3.3893    0.3846    0.3100    0.1537    1.5475    0.0355    1.3190    0.0629
+#&gt; 141:    92.6661   -5.9744   -0.1379    2.2793   -0.9754    0.8287    3.2725    0.3800    0.3178    0.1528    1.5076    0.0361    1.4087    0.0540
+#&gt; 142:    92.5681   -5.7650   -0.1033    2.3249   -0.9613    0.7872    3.1089    0.3610    0.3564    0.1701    1.4733    0.0332    1.2603    0.0720
+#&gt; 143:    92.4184   -5.6070   -0.1033    2.3520   -0.9764    0.7479    2.9534    0.3591    0.3758    0.1674    1.5420    0.0390    1.3280    0.0614
+#&gt; 144:    92.5354   -5.6144   -0.0978    2.3801   -0.9425    0.7105    2.8058    0.3538    0.3606    0.1722    1.4884    0.0400    1.3455    0.0620
+#&gt; 145:    92.4207   -5.6541   -0.0746    2.3873   -0.9633    0.6750    2.6655    0.3361    0.3426    0.1718    1.4981    0.0416    1.2440    0.0685
+#&gt; 146:    92.3058   -5.6608   -0.0731    2.3755   -0.9732    0.6412    2.5322    0.3193    0.3304    0.1719    1.6391    0.0348    1.1788    0.0743
+#&gt; 147:    92.4067   -5.7615   -0.0746    2.3775   -0.9903    0.6091    2.4056    0.3148    0.3311    0.1709    1.6695    0.0314    1.2931    0.0676
+#&gt; 148:    92.3739   -5.8812   -0.0820    2.3644   -0.9823    0.5787    2.7260    0.3332    0.3296    0.1794    1.6168    0.0303    1.3206    0.0670
+#&gt; 149:    92.4456   -5.8277   -0.0921    2.3508   -0.9924    0.5498    2.8750    0.3368    0.3305    0.1917    1.5602    0.0302    1.3622    0.0608
+#&gt; 150:    92.5049   -5.7964   -0.1003    2.3353   -0.9809    0.5223    2.7312    0.3291    0.3634    0.1874    1.5035    0.0301    1.4002    0.0615
+#&gt; 151:    92.3292   -6.0377   -0.1039    2.3301   -0.9866    0.4962    3.3342    0.3348    0.3626    0.1780    1.4819    0.0298    1.3217    0.0672
+#&gt; 152:    92.3747   -6.0460   -0.1023    2.3154   -1.0242    0.5079    3.4530    0.3371    0.3518    0.1674    1.6034    0.0296    1.2304    0.0749
+#&gt; 153:    92.3909   -5.8707   -0.1008    2.3284   -0.9897    0.5623    2.8180    0.3480    0.3792    0.1749    1.4953    0.0291    1.3442    0.0677
+#&gt; 154:    92.2532   -5.9313   -0.0991    2.3232   -0.9839    0.5340    3.3946    0.3502    0.3723    0.1729    1.4837    0.0280    1.1452    0.0776
+#&gt; 155:    92.1782   -6.1012   -0.0988    2.3339   -0.9600    0.3900    3.9676    0.3593    0.3704    0.1531    1.4927    0.0286    1.1848    0.0730
+#&gt; 156:    92.2225   -5.8387   -0.0991    2.3393   -0.9459    0.3294    3.0685    0.3598    0.3808    0.1568    1.5540    0.0318    1.3419    0.0671
+#&gt; 157:    92.2411   -5.7045   -0.1038    2.3578   -0.9252    0.2797    2.5238    0.3716    0.3579    0.1653    1.4704    0.0373    1.1959    0.0686
+#&gt; 158:    92.2865   -5.6692   -0.1009    2.3771   -0.9532    0.2840    2.4144    0.3592    0.3610    0.1641    1.5065    0.0389    1.1780    0.0674
+#&gt; 159:    92.2771   -5.7526   -0.0782    2.3632   -0.9771    0.2996    2.7295    0.3357    0.3779    0.1606    1.5818    0.0366    1.1512    0.0781
+#&gt; 160:    92.3400   -5.8039   -0.0811    2.3615   -0.9453    0.2707    2.7305    0.3373    0.3834    0.1528    1.4765    0.0370    1.1427    0.0756
+#&gt; 161:    92.4180   -5.7448   -0.0961    2.3653   -0.9508    0.2965    2.6051    0.3666    0.3833    0.1647    1.4581    0.0364    0.9817    0.0827
+#&gt; 162:    92.4487   -5.8952   -0.0889    2.3460   -0.9646    0.2370    3.1413    0.3460    0.3801    0.1571    1.4528    0.0346    1.0006    0.0798
+#&gt; 163:    92.5251   -5.8567   -0.0987    2.3342   -0.9615    0.1453    2.9917    0.3535    0.3735    0.1452    1.4521    0.0330    1.0498    0.0766
+#&gt; 164:    92.5949   -6.1580   -0.1008    2.3332   -0.9749    0.1095    4.1797    0.3586    0.3767    0.1355    1.4659    0.0310    1.0218    0.0797
+#&gt; 165:    92.5794   -6.0542   -0.1001    2.3321   -0.9795    0.1332    4.2924    0.3588    0.3752    0.1386    1.4858    0.0313    0.9836    0.0812
+#&gt; 166:    92.6686   -6.0065   -0.0960    2.3623   -0.9532    0.1465    4.0810    0.3439    0.3683    0.1647    1.3929    0.0372    0.9354    0.0837
+#&gt; 167:    92.7086   -6.2096   -0.0895    2.3656   -0.9552    0.1938    4.6857    0.3325    0.3519    0.1681    1.4281    0.0362    1.0329    0.0784
+#&gt; 168:    92.6096   -6.0709   -0.0880    2.3595   -0.9474    0.2141    4.1277    0.3379    0.3527    0.1620    1.4264    0.0347    0.9627    0.0836
+#&gt; 169:    92.5365   -5.9418   -0.0919    2.3546   -0.9575    0.3620    3.7767    0.3489    0.3589    0.1609    1.4761    0.0360    1.1348    0.0745
+#&gt; 170:    92.6270   -5.8404   -0.0935    2.3562   -0.9517    0.3312    3.2506    0.3552    0.3607    0.1560    1.4506    0.0383    1.0731    0.0722
+#&gt; 171:    92.5606   -5.9213   -0.0899    2.3513   -0.9554    0.4399    3.5587    0.3599    0.3646    0.1385    1.4779    0.0349    0.9844    0.0775
+#&gt; 172:    92.3630   -5.7066   -0.0765    2.3798   -0.9314    0.5208    2.5578    0.3458    0.3657    0.1547    1.4900    0.0348    1.0485    0.0765
+#&gt; 173:    92.2527   -5.5811   -0.0713    2.4173   -0.9221    0.8674    2.2100    0.3448    0.3370    0.1513    1.5403    0.0445    1.4403    0.0518
+#&gt; 174:    92.3852   -5.5348   -0.0712    2.4066   -0.9033    0.7543    2.1568    0.3457    0.3324    0.1482    1.5322    0.0407    1.2744    0.0623
+#&gt; 175:    92.4798   -5.5494   -0.0712    2.4004   -0.9100    0.5675    2.0147    0.3457    0.3333    0.1629    1.5229    0.0383    1.2917    0.0655
+#&gt; 176:    92.5881   -5.5613   -0.0675    2.4180   -0.9188    0.4011    2.0736    0.3413    0.3487    0.1781    1.5149    0.0389    1.1499    0.0669
+#&gt; 177:    92.6015   -5.4951   -0.0494    2.4324   -0.9525    0.4992    1.9009    0.3629    0.3353    0.1919    1.4881    0.0393    1.2289    0.0650
+#&gt; 178:    92.6317   -5.4943   -0.0505    2.4373   -0.9298    0.5087    1.6116    0.3631    0.3324    0.1906    1.4475    0.0454    1.0764    0.0701
+#&gt; 179:    92.7043   -5.5326   -0.0419    2.4386   -0.9376    0.4350    1.8241    0.3577    0.3757    0.1991    1.4445    0.0424    0.9626    0.0833
+#&gt; 180:    92.7457   -5.5591   -0.0371    2.4684   -0.9450    0.3973    1.7797    0.3507    0.3707    0.1944    1.4392    0.0415    1.0784    0.0764
+#&gt; 181:    92.6287   -5.5741   -0.0368    2.4489   -0.9459    0.4744    1.8016    0.3502    0.3544    0.1970    1.4317    0.0392    0.9225    0.0848
+#&gt; 182:    92.6121   -5.5593   -0.0316    2.4610   -0.9345    0.6054    1.9206    0.3492    0.3538    0.1855    1.4410    0.0367    0.8977    0.0878
+#&gt; 183:    92.4258   -5.4737   -0.0393    2.4592   -0.9319    0.8062    1.7845    0.3528    0.3544    0.1649    1.4545    0.0409    1.0723    0.0751
+#&gt; 184:    92.3939   -5.5961   -0.0479    2.4268   -0.9435    1.0246    2.2534    0.3497    0.3289    0.1363    1.5022    0.0370    1.1058    0.0729
+#&gt; 185:    92.4673   -5.5415   -0.0525    2.4157   -0.9058    0.8296    2.2848    0.3406    0.3314    0.1706    1.4935    0.0367    1.1362    0.0722
+#&gt; 186:    92.4122   -5.6594   -0.0574    2.4466   -0.9430    0.9133    2.3350    0.3327    0.3596    0.1506    1.4450    0.0404    1.2273    0.0629
+#&gt; 187:    92.5416   -5.5472   -0.0521    2.4393   -0.9261    0.9731    1.9228    0.3208    0.3673    0.1421    1.4890    0.0409    1.2553    0.0626
+#&gt; 188:    92.5502   -5.6425   -0.0591    2.4345   -0.9246    0.9315    2.2041    0.3184    0.3639    0.1319    1.4896    0.0392    1.0986    0.0684
+#&gt; 189:    92.4180   -5.6737   -0.0504    2.4448   -0.9191    0.9006    2.4647    0.3102    0.3743    0.1648    1.4649    0.0397    1.1320    0.0742
+#&gt; 190:    92.5821   -5.5823   -0.0363    2.4588   -0.9205    0.9862    2.2692    0.2820    0.4087    0.1459    1.3938    0.0412    0.9562    0.0815
+#&gt; 191:    92.3708   -5.5825   -0.0418    2.4621   -0.9231    0.9867    2.4743    0.2890    0.4196    0.1445    1.4619    0.0403    0.9630    0.0811
+#&gt; 192:    92.2628   -5.5337   -0.0366    2.4392   -0.9194    0.6944    2.2771    0.2909    0.4169    0.1279    1.4745    0.0363    0.8601    0.0892
+#&gt; 193:    92.4854   -5.6303   -0.0352    2.4484   -0.9316    0.4403    2.3253    0.2928    0.4109    0.1282    1.4768    0.0399    0.8886    0.0871
+#&gt; 194:    92.4900   -5.5824   -0.0372    2.4648   -0.9451    0.4891    2.6428    0.2899    0.4160    0.1331    1.5124    0.0412    0.9340    0.0853
+#&gt; 195:    92.4685   -5.7658   -0.0357    2.4659   -0.9217    0.4549    3.3767    0.2921    0.4171    0.1552    1.5062    0.0396    1.0336    0.0817
+#&gt; 196:    92.4125   -5.7544   -0.0255    2.4834   -0.9230    0.4146    3.1963    0.3000    0.4369    0.1501    1.4560    0.0430    0.9942    0.0813
+#&gt; 197:    92.3284   -5.9347   -0.0305    2.4860   -0.9448    0.4115    3.5642    0.3129    0.4314    0.1740    1.3441    0.0473    1.0954    0.0723
+#&gt; 198:    92.3428   -5.9255   -0.0266    2.4822   -0.9463    0.3258    3.4818    0.3185    0.4163    0.1716    1.3868    0.0447    0.9452    0.0788
+#&gt; 199:    92.1692   -6.0683   -0.0227    2.4860   -0.9495    0.2685    4.4044    0.3149    0.4064    0.1824    1.3558    0.0478    1.0294    0.0749
+#&gt; 200:    92.0965   -6.1541   -0.0261    2.4793   -0.9288    0.2210    4.4026    0.3265    0.4200    0.1772    1.3348    0.0441    1.0018    0.0761
+#&gt; 201:    92.1362   -6.1170   -0.0244    2.4776   -0.9237    0.1801    4.4160    0.3276    0.4303    0.1732    1.3479    0.0418    0.9419    0.0809
+#&gt; 202:    92.1114   -6.0898   -0.0233    2.4862   -0.9253    0.1506    4.4494    0.3286    0.4305    0.1656    1.3473    0.0440    0.9394    0.0802
+#&gt; 203:    92.0893   -6.1307   -0.0233    2.4894   -0.9258    0.1510    4.7958    0.3310    0.4233    0.1673    1.3396    0.0457    0.9617    0.0788
+#&gt; 204:    92.0870   -6.0914   -0.0230    2.4867   -0.9234    0.1589    4.6265    0.3316    0.4237    0.1643    1.3478    0.0456    0.9509    0.0793
+#&gt; 205:    92.0800   -6.0960   -0.0228    2.4867   -0.9256    0.1613    4.6319    0.3321    0.4226    0.1623    1.3399    0.0463    0.9547    0.0789
+#&gt; 206:    92.1037   -6.0869   -0.0238    2.4833   -0.9264    0.1648    4.5547    0.3341    0.4186    0.1606    1.3351    0.0466    0.9453    0.0797
+#&gt; 207:    92.1212   -6.0561   -0.0247    2.4821   -0.9299    0.1677    4.3736    0.3363    0.4150    0.1602    1.3394    0.0467    0.9552    0.0790
+#&gt; 208:    92.1203   -6.0351   -0.0260    2.4804   -0.9309    0.1616    4.2520    0.3369    0.4120    0.1613    1.3366    0.0466    0.9667    0.0785
+#&gt; 209:    92.1169   -6.0133   -0.0277    2.4792   -0.9300    0.1596    4.1237    0.3352    0.4111    0.1616    1.3344    0.0464    0.9741    0.0778
+#&gt; 210:    92.1195   -5.9866   -0.0289    2.4752   -0.9287    0.1586    3.9853    0.3352    0.4091    0.1602    1.3410    0.0461    0.9708    0.0778
+#&gt; 211:    92.1243   -5.9458   -0.0316    2.4687   -0.9287    0.1606    3.8383    0.3366    0.4094    0.1607    1.3525    0.0455    0.9759    0.0778
+#&gt; 212:    92.1384   -5.9338   -0.0345    2.4640   -0.9280    0.1635    3.7875    0.3375    0.4105    0.1594    1.3589    0.0454    0.9800    0.0776
+#&gt; 213:    92.1481   -5.9191   -0.0379    2.4587   -0.9269    0.1629    3.7150    0.3375    0.4100    0.1586    1.3673    0.0449    0.9839    0.0775
+#&gt; 214:    92.1523   -5.9189   -0.0408    2.4542   -0.9270    0.1593    3.7061    0.3375    0.4092    0.1579    1.3731    0.0446    0.9847    0.0773
+#&gt; 215:    92.1548   -5.9183   -0.0429    2.4499   -0.9269    0.1604    3.7075    0.3369    0.4095    0.1574    1.3765    0.0442    0.9821    0.0775
+#&gt; 216:    92.1547   -5.9171   -0.0450    2.4455   -0.9270    0.1600    3.6967    0.3368    0.4100    0.1571    1.3811    0.0438    0.9830    0.0776
+#&gt; 217:    92.1556   -5.9141   -0.0468    2.4422   -0.9281    0.1580    3.6732    0.3361    0.4102    0.1578    1.3864    0.0435    0.9995    0.0770
+#&gt; 218:    92.1587   -5.9173   -0.0477    2.4395   -0.9287    0.1545    3.6822    0.3351    0.4112    0.1580    1.3882    0.0432    1.0001    0.0772
+#&gt; 219:    92.1590   -5.9188   -0.0483    2.4374   -0.9303    0.1540    3.6595    0.3341    0.4132    0.1578    1.3889    0.0430    0.9983    0.0775
+#&gt; 220:    92.1614   -5.9303   -0.0493    2.4353   -0.9321    0.1559    3.6914    0.3336    0.4141    0.1581    1.3914    0.0427    1.0003    0.0775
+#&gt; 221:    92.1657   -5.9455   -0.0504    2.4328   -0.9344    0.1585    3.7569    0.3329    0.4140    0.1591    1.3938    0.0424    1.0064    0.0773
+#&gt; 222:    92.1697   -5.9320   -0.0515    2.4306   -0.9358    0.1617    3.6783    0.3321    0.4145    0.1600    1.3992    0.0421    1.0107    0.0772
+#&gt; 223:    92.1754   -5.9205   -0.0525    2.4280   -0.9375    0.1630    3.6233    0.3313    0.4158    0.1604    1.4072    0.0416    1.0216    0.0770
+#&gt; 224:    92.1809   -5.9149   -0.0534    2.4264   -0.9386    0.1623    3.5812    0.3306    0.4167    0.1607    1.4130    0.0413    1.0349    0.0764
+#&gt; 225:    92.1872   -5.9099   -0.0543    2.4243   -0.9390    0.1619    3.5446    0.3299    0.4174    0.1607    1.4152    0.0411    1.0348    0.0766
+#&gt; 226:    92.1935   -5.9046   -0.0554    2.4224   -0.9396    0.1631    3.5046    0.3299    0.4183    0.1608    1.4157    0.0409    1.0375    0.0766
+#&gt; 227:    92.2026   -5.8964   -0.0567    2.4198   -0.9400    0.1637    3.4591    0.3303    0.4183    0.1614    1.4144    0.0408    1.0444    0.0763
+#&gt; 228:    92.2069   -5.8852   -0.0578    2.4175   -0.9407    0.1633    3.4091    0.3308    0.4185    0.1621    1.4144    0.0407    1.0485    0.0763
+#&gt; 229:    92.2122   -5.8844   -0.0591    2.4145   -0.9418    0.1631    3.3899    0.3314    0.4194    0.1622    1.4173    0.0404    1.0514    0.0763
+#&gt; 230:    92.2183   -5.8907   -0.0604    2.4116   -0.9416    0.1640    3.4053    0.3319    0.4202    0.1616    1.4200    0.0401    1.0527    0.0764
+#&gt; 231:    92.2246   -5.8895   -0.0619    2.4087   -0.9422    0.1651    3.3985    0.3323    0.4208    0.1609    1.4234    0.0400    1.0560    0.0762
+#&gt; 232:    92.2282   -5.8840   -0.0632    2.4058   -0.9423    0.1641    3.3771    0.3327    0.4215    0.1609    1.4266    0.0398    1.0585    0.0762
+#&gt; 233:    92.2294   -5.8775   -0.0645    2.4032   -0.9424    0.1620    3.3481    0.3335    0.4216    0.1607    1.4311    0.0395    1.0600    0.0763
+#&gt; 234:    92.2311   -5.8709   -0.0658    2.4006   -0.9421    0.1626    3.3242    0.3343    0.4220    0.1602    1.4340    0.0393    1.0604    0.0764
+#&gt; 235:    92.2312   -5.8656   -0.0668    2.3985   -0.9420    0.1608    3.3023    0.3350    0.4225    0.1596    1.4381    0.0391    1.0600    0.0765
+#&gt; 236:    92.2289   -5.8633   -0.0675    2.3974   -0.9423    0.1599    3.2811    0.3352    0.4227    0.1589    1.4392    0.0390    1.0594    0.0765
+#&gt; 237:    92.2251   -5.8641   -0.0683    2.3960   -0.9435    0.1586    3.2734    0.3351    0.4226    0.1588    1.4403    0.0389    1.0623    0.0765
+#&gt; 238:    92.2242   -5.8633   -0.0690    2.3949   -0.9443    0.1579    3.2547    0.3349    0.4230    0.1590    1.4409    0.0389    1.0659    0.0765
+#&gt; 239:    92.2250   -5.8612   -0.0693    2.3951   -0.9449    0.1558    3.2309    0.3346    0.4234    0.1599    1.4396    0.0389    1.0740    0.0762
+#&gt; 240:    92.2264   -5.8597   -0.0696    2.3949   -0.9446    0.1550    3.2124    0.3342    0.4234    0.1603    1.4401    0.0388    1.0791    0.0760
+#&gt; 241:    92.2281   -5.8562   -0.0699    2.3948   -0.9449    0.1544    3.1933    0.3339    0.4236    0.1604    1.4411    0.0388    1.0825    0.0760
+#&gt; 242:    92.2289   -5.8512   -0.0703    2.3942   -0.9450    0.1534    3.1709    0.3338    0.4235    0.1606    1.4421    0.0388    1.0870    0.0760
+#&gt; 243:    92.2296   -5.8489   -0.0708    2.3934   -0.9446    0.1531    3.1689    0.3342    0.4230    0.1605    1.4423    0.0387    1.0876    0.0760
+#&gt; 244:    92.2311   -5.8446   -0.0715    2.3929   -0.9443    0.1528    3.1630    0.3349    0.4228    0.1604    1.4429    0.0387    1.0916    0.0759
+#&gt; 245:    92.2338   -5.8421   -0.0718    2.3924   -0.9443    0.1528    3.1616    0.3352    0.4224    0.1610    1.4438    0.0387    1.0980    0.0755
+#&gt; 246:    92.2361   -5.8389   -0.0721    2.3918   -0.9439    0.1525    3.1525    0.3354    0.4216    0.1620    1.4438    0.0388    1.1018    0.0753
+#&gt; 247:    92.2374   -5.8388   -0.0724    2.3917   -0.9434    0.1510    3.1605    0.3356    0.4212    0.1629    1.4438    0.0389    1.1050    0.0751
+#&gt; 248:    92.2360   -5.8367   -0.0728    2.3918   -0.9432    0.1505    3.1559    0.3360    0.4207    0.1638    1.4437    0.0389    1.1090    0.0748
+#&gt; 249:    92.2361   -5.8351   -0.0732    2.3914   -0.9435    0.1499    3.1521    0.3363    0.4204    0.1646    1.4433    0.0389    1.1117    0.0748
+#&gt; 250:    92.2353   -5.8349   -0.0733    2.3906   -0.9436    0.1502    3.1607    0.3365    0.4202    0.1646    1.4457    0.0388    1.1107    0.0749
+#&gt; 251:    92.2343   -5.8318   -0.0736    2.3903   -0.9430    0.1494    3.1513    0.3367    0.4201    0.1648    1.4453    0.0387    1.1093    0.0750
+#&gt; 252:    92.2356   -5.8244   -0.0739    2.3895   -0.9424    0.1477    3.1240    0.3369    0.4200    0.1651    1.4460    0.0386    1.1083    0.0750
+#&gt; 253:    92.2367   -5.8188   -0.0742    2.3890   -0.9423    0.1465    3.1025    0.3369    0.4200    0.1649    1.4477    0.0385    1.1092    0.0750
+#&gt; 254:    92.2392   -5.8154   -0.0747    2.3880   -0.9421    0.1458    3.0888    0.3372    0.4195    0.1644    1.4494    0.0384    1.1080    0.0750
+#&gt; 255:    92.2404   -5.8131   -0.0751    2.3870   -0.9417    0.1451    3.0778    0.3375    0.4191    0.1639    1.4501    0.0383    1.1070    0.0751
+#&gt; 256:    92.2408   -5.8109   -0.0753    2.3867   -0.9413    0.1445    3.0740    0.3376    0.4192    0.1633    1.4510    0.0382    1.1064    0.0751
+#&gt; 257:    92.2413   -5.8066   -0.0754    2.3866   -0.9409    0.1446    3.0636    0.3376    0.4191    0.1628    1.4522    0.0382    1.1080    0.0750
+#&gt; 258:    92.2412   -5.8035   -0.0754    2.3869   -0.9404    0.1436    3.0502    0.3372    0.4191    0.1623    1.4534    0.0381    1.1057    0.0751
+#&gt; 259:    92.2399   -5.7996   -0.0753    2.3871   -0.9399    0.1427    3.0357    0.3370    0.4195    0.1621    1.4540    0.0380    1.1037    0.0752
+#&gt; 260:    92.2389   -5.7955   -0.0755    2.3872   -0.9391    0.1420    3.0251    0.3366    0.4199    0.1619    1.4555    0.0380    1.1041    0.0752
+#&gt; 261:    92.2378   -5.7941   -0.0755    2.3875   -0.9385    0.1412    3.0240    0.3362    0.4201    0.1613    1.4575    0.0380    1.1048    0.0751
+#&gt; 262:    92.2361   -5.7920   -0.0756    2.3879   -0.9379    0.1407    3.0182    0.3358    0.4205    0.1607    1.4581    0.0381    1.1047    0.0750
+#&gt; 263:    92.2338   -5.7891   -0.0754    2.3883   -0.9375    0.1407    3.0072    0.3356    0.4211    0.1603    1.4585    0.0381    1.1041    0.0750
+#&gt; 264:    92.2313   -5.7882   -0.0752    2.3886   -0.9371    0.1407    3.0009    0.3355    0.4217    0.1601    1.4574    0.0381    1.1036    0.0750
+#&gt; 265:    92.2312   -5.7843   -0.0752    2.3883   -0.9372    0.1402    2.9872    0.3358    0.4220    0.1599    1.4577    0.0381    1.1026    0.0750
+#&gt; 266:    92.2312   -5.7800   -0.0753    2.3880   -0.9370    0.1396    2.9708    0.3363    0.4223    0.1597    1.4584    0.0381    1.1019    0.0750
+#&gt; 267:    92.2306   -5.7785   -0.0755    2.3878   -0.9372    0.1397    2.9619    0.3368    0.4227    0.1595    1.4578    0.0381    1.1021    0.0750
+#&gt; 268:    92.2287   -5.7803   -0.0758    2.3870   -0.9372    0.1394    2.9777    0.3375    0.4226    0.1594    1.4578    0.0380    1.1032    0.0749
+#&gt; 269:    92.2265   -5.7804   -0.0761    2.3865   -0.9371    0.1399    2.9816    0.3382    0.4226    0.1592    1.4589    0.0380    1.1058    0.0747
+#&gt; 270:    92.2236   -5.7811   -0.0765    2.3860   -0.9369    0.1411    2.9893    0.3386    0.4227    0.1591    1.4597    0.0380    1.1081    0.0745
+#&gt; 271:    92.2211   -5.7793   -0.0769    2.3852   -0.9365    0.1421    2.9888    0.3390    0.4228    0.1591    1.4606    0.0379    1.1083    0.0745
+#&gt; 272:    92.2187   -5.7773   -0.0773    2.3845   -0.9361    0.1423    2.9810    0.3396    0.4232    0.1589    1.4617    0.0378    1.1076    0.0746
+#&gt; 273:    92.2164   -5.7769   -0.0776    2.3838   -0.9356    0.1427    2.9809    0.3402    0.4240    0.1589    1.4615    0.0378    1.1073    0.0746
+#&gt; 274:    92.2145   -5.7763   -0.0778    2.3836   -0.9355    0.1434    2.9795    0.3407    0.4248    0.1589    1.4615    0.0378    1.1069    0.0746
+#&gt; 275:    92.2133   -5.7762   -0.0779    2.3836   -0.9352    0.1436    2.9837    0.3410    0.4253    0.1589    1.4621    0.0378    1.1064    0.0746
+#&gt; 276:    92.2123   -5.7764   -0.0781    2.3835   -0.9348    0.1431    2.9889    0.3414    0.4255    0.1589    1.4632    0.0378    1.1073    0.0746
+#&gt; 277:    92.2113   -5.7771   -0.0781    2.3839   -0.9347    0.1423    2.9925    0.3423    0.4264    0.1589    1.4630    0.0378    1.1104    0.0744
+#&gt; 278:    92.2099   -5.7774   -0.0780    2.3841   -0.9349    0.1418    2.9927    0.3429    0.4270    0.1590    1.4634    0.0378    1.1127    0.0742
+#&gt; 279:    92.2087   -5.7798   -0.0779    2.3844   -0.9352    0.1413    2.9997    0.3437    0.4276    0.1590    1.4630    0.0378    1.1133    0.0742
+#&gt; 280:    92.2077   -5.7802   -0.0778    2.3841   -0.9358    0.1407    2.9971    0.3445    0.4284    0.1586    1.4634    0.0378    1.1136    0.0742
+#&gt; 281:    92.2061   -5.7814   -0.0777    2.3837   -0.9362    0.1401    3.0004    0.3452    0.4291    0.1582    1.4629    0.0378    1.1133    0.0743
+#&gt; 282:    92.2058   -5.7802   -0.0777    2.3834   -0.9363    0.1386    2.9994    0.3459    0.4297    0.1579    1.4634    0.0378    1.1126    0.0743
+#&gt; 283:    92.2057   -5.7780   -0.0778    2.3828   -0.9361    0.1376    2.9917    0.3469    0.4298    0.1576    1.4645    0.0378    1.1147    0.0742
+#&gt; 284:    92.2051   -5.7788   -0.0780    2.3824   -0.9360    0.1367    2.9968    0.3479    0.4300    0.1573    1.4647    0.0378    1.1149    0.0741
+#&gt; 285:    92.2041   -5.7793   -0.0782    2.3821   -0.9362    0.1359    2.9941    0.3487    0.4302    0.1573    1.4653    0.0378    1.1164    0.0740
+#&gt; 286:    92.2040   -5.7803   -0.0783    2.3819   -0.9364    0.1352    2.9957    0.3495    0.4304    0.1573    1.4655    0.0378    1.1180    0.0738
+#&gt; 287:    92.2044   -5.7809   -0.0784    2.3817   -0.9365    0.1348    2.9961    0.3502    0.4304    0.1572    1.4657    0.0379    1.1178    0.0738
+#&gt; 288:    92.2043   -5.7835   -0.0785    2.3814   -0.9366    0.1350    3.0073    0.3509    0.4304    0.1572    1.4658    0.0379    1.1184    0.0738
+#&gt; 289:    92.2041   -5.7845   -0.0787    2.3809   -0.9364    0.1347    3.0126    0.3516    0.4304    0.1571    1.4653    0.0379    1.1190    0.0737
+#&gt; 290:    92.2032   -5.7852   -0.0788    2.3807   -0.9363    0.1349    3.0161    0.3521    0.4304    0.1568    1.4656    0.0379    1.1191    0.0737
+#&gt; 291:    92.2019   -5.7848   -0.0790    2.3802   -0.9363    0.1356    3.0155    0.3528    0.4300    0.1565    1.4664    0.0380    1.1210    0.0736
+#&gt; 292:    92.2012   -5.7846   -0.0792    2.3799   -0.9363    0.1361    3.0167    0.3535    0.4296    0.1563    1.4670    0.0380    1.1223    0.0735
+#&gt; 293:    92.2007   -5.7845   -0.0793    2.3795   -0.9363    0.1365    3.0175    0.3542    0.4291    0.1561    1.4681    0.0380    1.1236    0.0734
+#&gt; 294:    92.2009   -5.7850   -0.0795    2.3791   -0.9360    0.1365    3.0189    0.3550    0.4287    0.1560    1.4682    0.0380    1.1243    0.0733
+#&gt; 295:    92.2009   -5.7865   -0.0797    2.3786   -0.9360    0.1360    3.0279    0.3556    0.4286    0.1558    1.4689    0.0380    1.1243    0.0734
+#&gt; 296:    92.2007   -5.7878   -0.0798    2.3781   -0.9362    0.1358    3.0345    0.3562    0.4283    0.1555    1.4694    0.0379    1.1247    0.0734
+#&gt; 297:    92.1992   -5.7891   -0.0801    2.3774   -0.9364    0.1358    3.0403    0.3568    0.4278    0.1554    1.4699    0.0379    1.1267    0.0734
+#&gt; 298:    92.1978   -5.7892   -0.0803    2.3768   -0.9366    0.1357    3.0383    0.3573    0.4274    0.1553    1.4706    0.0378    1.1276    0.0734
+#&gt; 299:    92.1968   -5.7906   -0.0805    2.3763   -0.9369    0.1353    3.0408    0.3579    0.4269    0.1553    1.4712    0.0378    1.1282    0.0733
+#&gt; 300:    92.1954   -5.7929   -0.0807    2.3760   -0.9369    0.1352    3.0477    0.3583    0.4265    0.1551    1.4716    0.0379    1.1286    0.0733
+#&gt; 301:    92.1941   -5.7934   -0.0809    2.3757   -0.9369    0.1352    3.0483    0.3588    0.4261    0.1548    1.4727    0.0378    1.1288    0.0732
+#&gt; 302:    92.1929   -5.7949   -0.0811    2.3754   -0.9370    0.1354    3.0560    0.3592    0.4256    0.1548    1.4728    0.0379    1.1296    0.0731
+#&gt; 303:    92.1919   -5.7972   -0.0813    2.3751   -0.9368    0.1352    3.0671    0.3597    0.4250    0.1550    1.4730    0.0379    1.1302    0.0731
+#&gt; 304:    92.1906   -5.8018   -0.0814    2.3750   -0.9368    0.1349    3.0935    0.3602    0.4245    0.1552    1.4731    0.0379    1.1314    0.0730
+#&gt; 305:    92.1897   -5.8063   -0.0817    2.3744   -0.9370    0.1350    3.1211    0.3606    0.4238    0.1554    1.4727    0.0379    1.1323    0.0730
+#&gt; 306:    92.1896   -5.8116   -0.0820    2.3740   -0.9373    0.1347    3.1571    0.3610    0.4233    0.1555    1.4727    0.0379    1.1351    0.0728
+#&gt; 307:    92.1895   -5.8156   -0.0822    2.3735   -0.9373    0.1341    3.1826    0.3613    0.4226    0.1552    1.4741    0.0379    1.1374    0.0726
+#&gt; 308:    92.1899   -5.8202   -0.0824    2.3732   -0.9376    0.1338    3.2124    0.3617    0.4220    0.1554    1.4745    0.0379    1.1408    0.0724
+#&gt; 309:    92.1903   -5.8232   -0.0827    2.3728   -0.9377    0.1337    3.2330    0.3620    0.4213    0.1554    1.4749    0.0379    1.1419    0.0724
+#&gt; 310:    92.1902   -5.8249   -0.0828    2.3727   -0.9378    0.1335    3.2463    0.3621    0.4207    0.1554    1.4752    0.0379    1.1435    0.0723
+#&gt; 311:    92.1910   -5.8267   -0.0828    2.3726   -0.9378    0.1335    3.2581    0.3623    0.4200    0.1554    1.4754    0.0379    1.1441    0.0722
+#&gt; 312:    92.1918   -5.8271   -0.0829    2.3726   -0.9378    0.1333    3.2567    0.3624    0.4195    0.1552    1.4751    0.0380    1.1432    0.0723
+#&gt; 313:    92.1926   -5.8260   -0.0829    2.3725   -0.9380    0.1334    3.2497    0.3626    0.4190    0.1552    1.4751    0.0380    1.1434    0.0723
+#&gt; 314:    92.1934   -5.8256   -0.0829    2.3724   -0.9381    0.1330    3.2426    0.3628    0.4185    0.1553    1.4746    0.0380    1.1441    0.0722
+#&gt; 315:    92.1938   -5.8237   -0.0829    2.3724   -0.9384    0.1326    3.2327    0.3630    0.4179    0.1555    1.4746    0.0380    1.1468    0.0721
+#&gt; 316:    92.1950   -5.8235   -0.0829    2.3722   -0.9385    0.1324    3.2283    0.3631    0.4172    0.1557    1.4745    0.0380    1.1476    0.0721
+#&gt; 317:    92.1963   -5.8239   -0.0829    2.3722   -0.9385    0.1322    3.2260    0.3633    0.4167    0.1560    1.4741    0.0380    1.1481    0.0721
+#&gt; 318:    92.1975   -5.8242   -0.0829    2.3722   -0.9387    0.1321    3.2240    0.3634    0.4163    0.1559    1.4740    0.0380    1.1477    0.0722
+#&gt; 319:    92.1990   -5.8250   -0.0829    2.3721   -0.9387    0.1320    3.2215    0.3634    0.4159    0.1560    1.4736    0.0381    1.1496    0.0720
+#&gt; 320:    92.2003   -5.8256   -0.0829    2.3722   -0.9386    0.1322    3.2199    0.3635    0.4155    0.1561    1.4730    0.0381    1.1508    0.0719
+#&gt; 321:    92.2018   -5.8249   -0.0829    2.3723   -0.9386    0.1326    3.2150    0.3635    0.4151    0.1562    1.4727    0.0381    1.1514    0.0718
+#&gt; 322:    92.2031   -5.8239   -0.0829    2.3724   -0.9386    0.1333    3.2081    0.3635    0.4147    0.1561    1.4729    0.0381    1.1527    0.0717
+#&gt; 323:    92.2045   -5.8244   -0.0829    2.3725   -0.9384    0.1336    3.2065    0.3635    0.4143    0.1562    1.4729    0.0381    1.1541    0.0716
+#&gt; 324:    92.2060   -5.8228   -0.0828    2.3726   -0.9383    0.1339    3.1996    0.3635    0.4139    0.1562    1.4729    0.0382    1.1562    0.0714
+#&gt; 325:    92.2071   -5.8212   -0.0828    2.3727   -0.9383    0.1339    3.1921    0.3636    0.4135    0.1563    1.4733    0.0382    1.1580    0.0713
+#&gt; 326:    92.2083   -5.8201   -0.0826    2.3728   -0.9382    0.1340    3.1888    0.3639    0.4134    0.1562    1.4734    0.0382    1.1587    0.0713
+#&gt; 327:    92.2095   -5.8185   -0.0825    2.3729   -0.9379    0.1340    3.1831    0.3641    0.4134    0.1562    1.4737    0.0382    1.1592    0.0713
+#&gt; 328:    92.2105   -5.8188   -0.0823    2.3731   -0.9379    0.1338    3.1836    0.3643    0.4132    0.1561    1.4736    0.0383    1.1589    0.0713
+#&gt; 329:    92.2115   -5.8182   -0.0821    2.3732   -0.9381    0.1339    3.1807    0.3646    0.4129    0.1561    1.4737    0.0383    1.1585    0.0713
+#&gt; 330:    92.2127   -5.8181   -0.0819    2.3734   -0.9381    0.1338    3.1827    0.3648    0.4127    0.1563    1.4735    0.0383    1.1578    0.0714
+#&gt; 331:    92.2134   -5.8180   -0.0815    2.3739   -0.9381    0.1340    3.1837    0.3647    0.4128    0.1566    1.4735    0.0383    1.1575    0.0714
+#&gt; 332:    92.2136   -5.8184   -0.0811    2.3746   -0.9379    0.1340    3.1847    0.3647    0.4130    0.1570    1.4728    0.0384    1.1577    0.0714
+#&gt; 333:    92.2133   -5.8180   -0.0807    2.3753   -0.9376    0.1340    3.1853    0.3646    0.4132    0.1572    1.4725    0.0384    1.1573    0.0714
+#&gt; 334:    92.2136   -5.8173   -0.0803    2.3760   -0.9374    0.1342    3.1838    0.3645    0.4133    0.1576    1.4720    0.0385    1.1570    0.0714
+#&gt; 335:    92.2139   -5.8187   -0.0800    2.3769   -0.9372    0.1344    3.1947    0.3643    0.4135    0.1576    1.4714    0.0386    1.1567    0.0714
+#&gt; 336:    92.2134   -5.8198   -0.0796    2.3777   -0.9370    0.1348    3.2008    0.3641    0.4135    0.1577    1.4706    0.0387    1.1557    0.0714
+#&gt; 337:    92.2130   -5.8201   -0.0792    2.3784   -0.9370    0.1357    3.2050    0.3640    0.4137    0.1579    1.4703    0.0388    1.1558    0.0714
+#&gt; 338:    92.2130   -5.8190   -0.0787    2.3791   -0.9368    0.1362    3.2036    0.3638    0.4139    0.1580    1.4708    0.0388    1.1558    0.0714
+#&gt; 339:    92.2132   -5.8177   -0.0783    2.3798   -0.9368    0.1369    3.2006    0.3637    0.4142    0.1581    1.4712    0.0388    1.1551    0.0714
+#&gt; 340:    92.2137   -5.8167   -0.0778    2.3806   -0.9366    0.1376    3.1984    0.3636    0.4143    0.1581    1.4712    0.0388    1.1540    0.0715
+#&gt; 341:    92.2141   -5.8145   -0.0773    2.3814   -0.9364    0.1378    3.1916    0.3635    0.4142    0.1581    1.4712    0.0389    1.1529    0.0715
+#&gt; 342:    92.2142   -5.8123   -0.0769    2.3821   -0.9364    0.1383    3.1840    0.3634    0.4142    0.1581    1.4718    0.0389    1.1513    0.0716
+#&gt; 343:    92.2139   -5.8109   -0.0764    2.3830   -0.9364    0.1389    3.1806    0.3632    0.4142    0.1581    1.4721    0.0389    1.1501    0.0716
+#&gt; 344:    92.2137   -5.8117   -0.0759    2.3839   -0.9366    0.1390    3.1830    0.3631    0.4144    0.1582    1.4711    0.0390    1.1492    0.0717
+#&gt; 345:    92.2133   -5.8118   -0.0754    2.3849   -0.9368    0.1391    3.1827    0.3630    0.4146    0.1582    1.4703    0.0391    1.1488    0.0717
+#&gt; 346:    92.2127   -5.8113   -0.0748    2.3858   -0.9369    0.1389    3.1793    0.3629    0.4147    0.1581    1.4700    0.0391    1.1475    0.0717
+#&gt; 347:    92.2121   -5.8107   -0.0743    2.3867   -0.9371    0.1386    3.1748    0.3628    0.4149    0.1579    1.4701    0.0392    1.1463    0.0718
+#&gt; 348:    92.2106   -5.8109   -0.0738    2.3876   -0.9374    0.1385    3.1726    0.3626    0.4151    0.1577    1.4704    0.0392    1.1453    0.0719
+#&gt; 349:    92.2096   -5.8111   -0.0732    2.3883   -0.9377    0.1382    3.1703    0.3626    0.4151    0.1575    1.4705    0.0392    1.1448    0.0719
+#&gt; 350:    92.2088   -5.8108   -0.0727    2.3890   -0.9378    0.1380    3.1674    0.3625    0.4152    0.1574    1.4704    0.0392    1.1439    0.0720
+#&gt; 351:    92.2077   -5.8103   -0.0722    2.3899   -0.9379    0.1379    3.1634    0.3623    0.4154    0.1572    1.4701    0.0393    1.1432    0.0720
+#&gt; 352:    92.2069   -5.8103   -0.0718    2.3906   -0.9381    0.1380    3.1626    0.3623    0.4154    0.1570    1.4701    0.0393    1.1425    0.0721
+#&gt; 353:    92.2058   -5.8107   -0.0714    2.3913   -0.9381    0.1382    3.1629    0.3624    0.4154    0.1570    1.4695    0.0394    1.1426    0.0720
+#&gt; 354:    92.2046   -5.8102   -0.0710    2.3921   -0.9381    0.1384    3.1576    0.3624    0.4154    0.1571    1.4691    0.0394    1.1424    0.0720
+#&gt; 355:    92.2034   -5.8084   -0.0707    2.3928   -0.9381    0.1388    3.1501    0.3624    0.4154    0.1570    1.4686    0.0395    1.1414    0.0721
+#&gt; 356:    92.2027   -5.8079   -0.0703    2.3935   -0.9382    0.1392    3.1463    0.3626    0.4155    0.1569    1.4682    0.0396    1.1405    0.0721
+#&gt; 357:    92.2019   -5.8084   -0.0698    2.3943   -0.9382    0.1390    3.1444    0.3628    0.4156    0.1569    1.4665    0.0397    1.1403    0.0721
+#&gt; 358:    92.2014   -5.8085   -0.0694    2.3950   -0.9381    0.1389    3.1413    0.3630    0.4158    0.1569    1.4662    0.0398    1.1398    0.0722
+#&gt; 359:    92.2005   -5.8091   -0.0689    2.3956   -0.9383    0.1387    3.1393    0.3633    0.4159    0.1570    1.4664    0.0398    1.1401    0.0722
+#&gt; 360:    92.1994   -5.8091   -0.0685    2.3962   -0.9385    0.1385    3.1362    0.3635    0.4159    0.1572    1.4664    0.0398    1.1413    0.0722
+#&gt; 361:    92.1983   -5.8094   -0.0682    2.3966   -0.9386    0.1384    3.1340    0.3638    0.4159    0.1573    1.4669    0.0398    1.1420    0.0722
+#&gt; 362:    92.1976   -5.8086   -0.0678    2.3971   -0.9389    0.1380    3.1277    0.3639    0.4160    0.1573    1.4671    0.0398    1.1414    0.0723
+#&gt; 363:    92.1967   -5.8081   -0.0675    2.3976   -0.9389    0.1377    3.1239    0.3641    0.4161    0.1573    1.4669    0.0399    1.1412    0.0723
+#&gt; 364:    92.1960   -5.8073   -0.0671    2.3982   -0.9390    0.1373    3.1208    0.3643    0.4161    0.1572    1.4668    0.0399    1.1411    0.0723
+#&gt; 365:    92.1958   -5.8066   -0.0667    2.3988   -0.9389    0.1369    3.1164    0.3645    0.4160    0.1572    1.4672    0.0399    1.1416    0.0723
+#&gt; 366:    92.1956   -5.8063   -0.0664    2.3992   -0.9390    0.1364    3.1127    0.3650    0.4156    0.1573    1.4674    0.0399    1.1425    0.0723
+#&gt; 367:    92.1952   -5.8056   -0.0661    2.3996   -0.9389    0.1361    3.1082    0.3652    0.4155    0.1574    1.4675    0.0399    1.1416    0.0723
+#&gt; 368:    92.1948   -5.8059   -0.0658    2.4001   -0.9389    0.1359    3.1068    0.3655    0.4154    0.1575    1.4671    0.0399    1.1406    0.0724
+#&gt; 369:    92.1948   -5.8064   -0.0655    2.4005   -0.9388    0.1360    3.1055    0.3658    0.4152    0.1576    1.4669    0.0399    1.1408    0.0724
+#&gt; 370:    92.1951   -5.8072   -0.0652    2.4010   -0.9389    0.1361    3.1060    0.3660    0.4151    0.1576    1.4669    0.0399    1.1406    0.0724
+#&gt; 371:    92.1956   -5.8080   -0.0649    2.4015   -0.9390    0.1362    3.1095    0.3662    0.4150    0.1576    1.4669    0.0400    1.1411    0.0724
+#&gt; 372:    92.1962   -5.8096   -0.0645    2.4020   -0.9390    0.1363    3.1168    0.3665    0.4149    0.1576    1.4667    0.0400    1.1411    0.0724
+#&gt; 373:    92.1968   -5.8098   -0.0642    2.4025   -0.9392    0.1363    3.1154    0.3666    0.4147    0.1576    1.4664    0.0400    1.1418    0.0723
+#&gt; 374:    92.1972   -5.8098   -0.0640    2.4029   -0.9395    0.1363    3.1117    0.3667    0.4146    0.1576    1.4661    0.0401    1.1421    0.0723
+#&gt; 375:    92.1979   -5.8101   -0.0637    2.4032   -0.9397    0.1364    3.1090    0.3668    0.4143    0.1577    1.4654    0.0401    1.1425    0.0723
+#&gt; 376:    92.1981   -5.8106   -0.0635    2.4035   -0.9399    0.1363    3.1084    0.3669    0.4142    0.1576    1.4650    0.0401    1.1423    0.0723
+#&gt; 377:    92.1986   -5.8104   -0.0633    2.4039   -0.9399    0.1360    3.1053    0.3670    0.4142    0.1576    1.4645    0.0402    1.1424    0.0723
+#&gt; 378:    92.1989   -5.8104   -0.0631    2.4043   -0.9399    0.1358    3.1026    0.3671    0.4142    0.1577    1.4638    0.0402    1.1421    0.0723
+#&gt; 379:    92.1990   -5.8114   -0.0628    2.4047   -0.9399    0.1355    3.1068    0.3671    0.4141    0.1577    1.4636    0.0402    1.1413    0.0724
+#&gt; 380:    92.1989   -5.8119   -0.0627    2.4048   -0.9400    0.1351    3.1095    0.3673    0.4136    0.1577    1.4634    0.0402    1.1413    0.0724
+#&gt; 381:    92.1989   -5.8127   -0.0627    2.4048   -0.9400    0.1349    3.1152    0.3676    0.4131    0.1577    1.4631    0.0403    1.1408    0.0723
+#&gt; 382:    92.1994   -5.8126   -0.0627    2.4049   -0.9399    0.1348    3.1188    0.3678    0.4126    0.1576    1.4635    0.0403    1.1403    0.0723
+#&gt; 383:    92.2000   -5.8129   -0.0626    2.4049   -0.9397    0.1346    3.1256    0.3681    0.4120    0.1576    1.4637    0.0403    1.1396    0.0723
+#&gt; 384:    92.2006   -5.8133   -0.0626    2.4050   -0.9396    0.1347    3.1290    0.3683    0.4115    0.1575    1.4641    0.0402    1.1389    0.0723
+#&gt; 385:    92.2015   -5.8131   -0.0626    2.4050   -0.9394    0.1350    3.1287    0.3686    0.4110    0.1575    1.4642    0.0402    1.1382    0.0723
+#&gt; 386:    92.2023   -5.8140   -0.0625    2.4049   -0.9391    0.1349    3.1324    0.3690    0.4104    0.1574    1.4647    0.0402    1.1374    0.0723
+#&gt; 387:    92.2030   -5.8147   -0.0625    2.4050   -0.9390    0.1349    3.1345    0.3693    0.4099    0.1572    1.4652    0.0402    1.1366    0.0724
+#&gt; 388:    92.2040   -5.8157   -0.0625    2.4050   -0.9389    0.1349    3.1381    0.3696    0.4094    0.1570    1.4652    0.0402    1.1362    0.0724
+#&gt; 389:    92.2051   -5.8156   -0.0625    2.4051   -0.9387    0.1349    3.1373    0.3699    0.4090    0.1570    1.4653    0.0402    1.1354    0.0724
+#&gt; 390:    92.2063   -5.8152   -0.0625    2.4051   -0.9386    0.1349    3.1350    0.3702    0.4087    0.1570    1.4655    0.0402    1.1345    0.0725
+#&gt; 391:    92.2076   -5.8160   -0.0625    2.4051   -0.9384    0.1350    3.1380    0.3705    0.4083    0.1571    1.4656    0.0402    1.1341    0.0725
+#&gt; 392:    92.2086   -5.8166   -0.0626    2.4049   -0.9384    0.1349    3.1397    0.3707    0.4081    0.1572    1.4658    0.0402    1.1345    0.0725
+#&gt; 393:    92.2095   -5.8168   -0.0626    2.4047   -0.9383    0.1348    3.1405    0.3708    0.4080    0.1573    1.4659    0.0402    1.1344    0.0725
+#&gt; 394:    92.2107   -5.8174   -0.0627    2.4045   -0.9382    0.1347    3.1433    0.3710    0.4079    0.1575    1.4660    0.0401    1.1342    0.0725
+#&gt; 395:    92.2118   -5.8174   -0.0628    2.4043   -0.9380    0.1346    3.1437    0.3711    0.4078    0.1575    1.4661    0.0401    1.1343    0.0725
+#&gt; 396:    92.2127   -5.8170   -0.0629    2.4041   -0.9379    0.1344    3.1424    0.3712    0.4077    0.1575    1.4664    0.0401    1.1342    0.0725
+#&gt; 397:    92.2137   -5.8161   -0.0630    2.4040   -0.9376    0.1342    3.1386    0.3713    0.4076    0.1577    1.4667    0.0401    1.1341    0.0725
+#&gt; 398:    92.2146   -5.8152   -0.0633    2.4036   -0.9374    0.1341    3.1344    0.3713    0.4075    0.1578    1.4671    0.0401    1.1334    0.0725
+#&gt; 399:    92.2157   -5.8138   -0.0635    2.4032   -0.9373    0.1340    3.1296    0.3714    0.4074    0.1578    1.4678    0.0401    1.1336    0.0726
+#&gt; 400:    92.2165   -5.8131   -0.0638    2.4027   -0.9372    0.1340    3.1262    0.3715    0.4072    0.1579    1.4681    0.0400    1.1332    0.0726
+#&gt; 401:    92.2173   -5.8118   -0.0641    2.4022   -0.9372    0.1341    3.1220    0.3716    0.4069    0.1579    1.4686    0.0400    1.1339    0.0726
+#&gt; 402:    92.2181   -5.8107   -0.0643    2.4018   -0.9370    0.1344    3.1192    0.3718    0.4065    0.1580    1.4694    0.0400    1.1338    0.0726
+#&gt; 403:    92.2190   -5.8099   -0.0646    2.4013   -0.9371    0.1348    3.1166    0.3720    0.4061    0.1581    1.4700    0.0400    1.1344    0.0725
+#&gt; 404:    92.2198   -5.8104   -0.0649    2.4008   -0.9372    0.1348    3.1161    0.3723    0.4058    0.1582    1.4704    0.0399    1.1357    0.0725
+#&gt; 405:    92.2203   -5.8107   -0.0652    2.4004   -0.9372    0.1348    3.1177    0.3725    0.4055    0.1582    1.4705    0.0400    1.1358    0.0724
+#&gt; 406:    92.2204   -5.8103   -0.0653    2.4002   -0.9371    0.1348    3.1157    0.3724    0.4051    0.1582    1.4709    0.0400    1.1361    0.0724
+#&gt; 407:    92.2201   -5.8094   -0.0655    2.4001   -0.9369    0.1348    3.1121    0.3724    0.4048    0.1583    1.4713    0.0400    1.1360    0.0724
+#&gt; 408:    92.2201   -5.8087   -0.0657    2.3999   -0.9368    0.1350    3.1085    0.3724    0.4044    0.1582    1.4714    0.0400    1.1360    0.0723
+#&gt; 409:    92.2201   -5.8083   -0.0658    2.3998   -0.9365    0.1355    3.1073    0.3724    0.4043    0.1582    1.4713    0.0401    1.1358    0.0723
+#&gt; 410:    92.2196   -5.8094   -0.0659    2.3996   -0.9365    0.1361    3.1123    0.3724    0.4041    0.1582    1.4712    0.0401    1.1357    0.0723
+#&gt; 411:    92.2192   -5.8099   -0.0661    2.3994   -0.9366    0.1363    3.1168    0.3724    0.4038    0.1582    1.4715    0.0401    1.1354    0.0723
+#&gt; 412:    92.2187   -5.8105   -0.0662    2.3993   -0.9365    0.1365    3.1215    0.3725    0.4035    0.1582    1.4716    0.0401    1.1359    0.0723
+#&gt; 413:    92.2185   -5.8109   -0.0663    2.3992   -0.9365    0.1367    3.1268    0.3725    0.4031    0.1583    1.4719    0.0401    1.1357    0.0723
+#&gt; 414:    92.2183   -5.8111   -0.0665    2.3987   -0.9365    0.1370    3.1286    0.3727    0.4026    0.1582    1.4724    0.0400    1.1349    0.0723
+#&gt; 415:    92.2181   -5.8122   -0.0667    2.3983   -0.9366    0.1370    3.1351    0.3729    0.4021    0.1581    1.4726    0.0400    1.1341    0.0724
+#&gt; 416:    92.2180   -5.8133   -0.0669    2.3979   -0.9367    0.1372    3.1409    0.3731    0.4015    0.1578    1.4734    0.0400    1.1333    0.0724
+#&gt; 417:    92.2176   -5.8138   -0.0671    2.3976   -0.9368    0.1374    3.1426    0.3733    0.4009    0.1576    1.4739    0.0400    1.1325    0.0724
+#&gt; 418:    92.2173   -5.8150   -0.0673    2.3973   -0.9369    0.1376    3.1479    0.3735    0.4003    0.1575    1.4740    0.0400    1.1316    0.0725
+#&gt; 419:    92.2174   -5.8154   -0.0674    2.3970   -0.9369    0.1375    3.1497    0.3736    0.3998    0.1574    1.4741    0.0400    1.1314    0.0724
+#&gt; 420:    92.2175   -5.8154   -0.0676    2.3968   -0.9369    0.1375    3.1489    0.3737    0.3993    0.1574    1.4742    0.0400    1.1315    0.0724
+#&gt; 421:    92.2176   -5.8154   -0.0678    2.3964   -0.9369    0.1374    3.1485    0.3739    0.3989    0.1573    1.4743    0.0400    1.1312    0.0724
+#&gt; 422:    92.2174   -5.8155   -0.0680    2.3961   -0.9370    0.1375    3.1483    0.3741    0.3985    0.1572    1.4744    0.0400    1.1309    0.0723
+#&gt; 423:    92.2170   -5.8156   -0.0681    2.3958   -0.9371    0.1375    3.1481    0.3742    0.3980    0.1571    1.4741    0.0400    1.1308    0.0723
+#&gt; 424:    92.2169   -5.8168   -0.0683    2.3956   -0.9372    0.1374    3.1524    0.3744    0.3976    0.1571    1.4740    0.0400    1.1316    0.0722
+#&gt; 425:    92.2167   -5.8171   -0.0685    2.3954   -0.9372    0.1373    3.1520    0.3744    0.3972    0.1571    1.4736    0.0401    1.1317    0.0722
+#&gt; 426:    92.2164   -5.8170   -0.0687    2.3951   -0.9372    0.1373    3.1502    0.3745    0.3968    0.1570    1.4734    0.0401    1.1320    0.0722
+#&gt; 427:    92.2166   -5.8169   -0.0688    2.3949   -0.9372    0.1372    3.1480    0.3745    0.3964    0.1570    1.4734    0.0401    1.1317    0.0721
+#&gt; 428:    92.2166   -5.8170   -0.0689    2.3948   -0.9374    0.1371    3.1460    0.3745    0.3959    0.1570    1.4735    0.0401    1.1315    0.0721
+#&gt; 429:    92.2162   -5.8171   -0.0691    2.3946   -0.9374    0.1369    3.1446    0.3745    0.3954    0.1570    1.4736    0.0401    1.1316    0.0721
+#&gt; 430:    92.2158   -5.8178   -0.0692    2.3944   -0.9375    0.1370    3.1464    0.3745    0.3950    0.1570    1.4736    0.0401    1.1314    0.0721
+#&gt; 431:    92.2153   -5.8180   -0.0693    2.3942   -0.9375    0.1371    3.1470    0.3745    0.3946    0.1570    1.4735    0.0401    1.1314    0.0721
+#&gt; 432:    92.2150   -5.8182   -0.0695    2.3940   -0.9375    0.1372    3.1477    0.3746    0.3942    0.1570    1.4735    0.0401    1.1315    0.0721
+#&gt; 433:    92.2145   -5.8189   -0.0696    2.3938   -0.9375    0.1374    3.1512    0.3746    0.3938    0.1571    1.4736    0.0400    1.1323    0.0720
+#&gt; 434:    92.2141   -5.8186   -0.0697    2.3936   -0.9373    0.1376    3.1530    0.3746    0.3933    0.1571    1.4736    0.0400    1.1330    0.0719
+#&gt; 435:    92.2133   -5.8187   -0.0699    2.3934   -0.9373    0.1381    3.1571    0.3747    0.3929    0.1570    1.4738    0.0400    1.1325    0.0720
+#&gt; 436:    92.2129   -5.8180   -0.0700    2.3932   -0.9374    0.1380    3.1544    0.3746    0.3925    0.1570    1.4740    0.0400    1.1332    0.0719
+#&gt; 437:    92.2122   -5.8186   -0.0702    2.3930   -0.9375    0.1380    3.1574    0.3746    0.3921    0.1570    1.4739    0.0400    1.1342    0.0718
+#&gt; 438:    92.2114   -5.8187   -0.0703    2.3928   -0.9376    0.1380    3.1583    0.3745    0.3918    0.1569    1.4740    0.0400    1.1346    0.0718
+#&gt; 439:    92.2104   -5.8181   -0.0705    2.3925   -0.9377    0.1381    3.1568    0.3744    0.3914    0.1568    1.4743    0.0400    1.1352    0.0718
+#&gt; 440:    92.2095   -5.8178   -0.0706    2.3923   -0.9377    0.1381    3.1555    0.3743    0.3910    0.1566    1.4745    0.0400    1.1349    0.0718
+#&gt; 441:    92.2088   -5.8176   -0.0707    2.3923   -0.9378    0.1381    3.1559    0.3742    0.3907    0.1565    1.4748    0.0400    1.1349    0.0718
+#&gt; 442:    92.2081   -5.8172   -0.0708    2.3921   -0.9379    0.1383    3.1539    0.3741    0.3903    0.1564    1.4754    0.0400    1.1350    0.0717
+#&gt; 443:    92.2074   -5.8171   -0.0709    2.3920   -0.9380    0.1387    3.1526    0.3740    0.3901    0.1563    1.4756    0.0400    1.1349    0.0717
+#&gt; 444:    92.2068   -5.8175   -0.0711    2.3918   -0.9380    0.1390    3.1533    0.3739    0.3898    0.1562    1.4758    0.0400    1.1353    0.0717
+#&gt; 445:    92.2061   -5.8180   -0.0712    2.3915   -0.9382    0.1394    3.1529    0.3737    0.3896    0.1562    1.4758    0.0400    1.1355    0.0717
+#&gt; 446:    92.2054   -5.8177   -0.0714    2.3912   -0.9384    0.1398    3.1496    0.3735    0.3894    0.1562    1.4760    0.0399    1.1367    0.0716
+#&gt; 447:    92.2051   -5.8180   -0.0716    2.3910   -0.9385    0.1400    3.1484    0.3734    0.3891    0.1563    1.4762    0.0399    1.1370    0.0715
+#&gt; 448:    92.2053   -5.8189   -0.0717    2.3909   -0.9387    0.1405    3.1499    0.3732    0.3889    0.1563    1.4764    0.0399    1.1377    0.0715
+#&gt; 449:    92.2054   -5.8195   -0.0718    2.3908   -0.9388    0.1411    3.1497    0.3730    0.3887    0.1562    1.4768    0.0399    1.1382    0.0715
+#&gt; 450:    92.2054   -5.8205   -0.0719    2.3906   -0.9390    0.1417    3.1528    0.3728    0.3885    0.1562    1.4769    0.0399    1.1378    0.0715
+#&gt; 451:    92.2053   -5.8213   -0.0720    2.3905   -0.9391    0.1423    3.1544    0.3725    0.3883    0.1561    1.4774    0.0399    1.1379    0.0715
+#&gt; 452:    92.2054   -5.8218   -0.0720    2.3905   -0.9393    0.1426    3.1541    0.3722    0.3882    0.1560    1.4779    0.0398    1.1378    0.0715
+#&gt; 453:    92.2054   -5.8217   -0.0721    2.3903   -0.9395    0.1428    3.1530    0.3721    0.3880    0.1559    1.4785    0.0398    1.1378    0.0715
+#&gt; 454:    92.2053   -5.8214   -0.0722    2.3901   -0.9395    0.1431    3.1508    0.3720    0.3878    0.1559    1.4786    0.0398    1.1375    0.0715
+#&gt; 455:    92.2052   -5.8220   -0.0724    2.3898   -0.9396    0.1433    3.1519    0.3720    0.3875    0.1559    1.4791    0.0398    1.1379    0.0715
+#&gt; 456:    92.2053   -5.8230   -0.0727    2.3894   -0.9397    0.1434    3.1544    0.3720    0.3873    0.1560    1.4793    0.0398    1.1384    0.0714
+#&gt; 457:    92.2053   -5.8240   -0.0729    2.3889   -0.9398    0.1437    3.1568    0.3720    0.3869    0.1559    1.4793    0.0398    1.1393    0.0714
+#&gt; 458:    92.2051   -5.8245   -0.0731    2.3885   -0.9399    0.1440    3.1571    0.3721    0.3865    0.1558    1.4797    0.0397    1.1404    0.0713
+#&gt; 459:    92.2045   -5.8246   -0.0732    2.3882   -0.9402    0.1442    3.1562    0.3721    0.3862    0.1558    1.4801    0.0397    1.1407    0.0713
+#&gt; 460:    92.2040   -5.8244   -0.0734    2.3878   -0.9403    0.1442    3.1536    0.3722    0.3859    0.1558    1.4806    0.0397    1.1406    0.0713
+#&gt; 461:    92.2030   -5.8245   -0.0736    2.3874   -0.9404    0.1444    3.1517    0.3722    0.3856    0.1557    1.4811    0.0397    1.1412    0.0713
+#&gt; 462:    92.2022   -5.8253   -0.0738    2.3870   -0.9405    0.1445    3.1531    0.3723    0.3853    0.1556    1.4817    0.0396    1.1425    0.0712
+#&gt; 463:    92.2014   -5.8260   -0.0740    2.3866   -0.9405    0.1449    3.1545    0.3724    0.3849    0.1556    1.4823    0.0396    1.1441    0.0711
+#&gt; 464:    92.2008   -5.8257   -0.0742    2.3862   -0.9405    0.1453    3.1522    0.3726    0.3845    0.1555    1.4828    0.0396    1.1451    0.0711
+#&gt; 465:    92.2002   -5.8256   -0.0744    2.3859   -0.9404    0.1458    3.1511    0.3727    0.3842    0.1555    1.4830    0.0396    1.1459    0.0710
+#&gt; 466:    92.1997   -5.8256   -0.0747    2.3855   -0.9403    0.1463    3.1516    0.3728    0.3839    0.1555    1.4834    0.0396    1.1476    0.0709
+#&gt; 467:    92.1993   -5.8258   -0.0749    2.3850   -0.9404    0.1468    3.1521    0.3730    0.3836    0.1555    1.4835    0.0395    1.1490    0.0708
+#&gt; 468:    92.1990   -5.8259   -0.0752    2.3846   -0.9404    0.1473    3.1546    0.3731    0.3834    0.1555    1.4837    0.0395    1.1500    0.0708
+#&gt; 469:    92.1987   -5.8263   -0.0753    2.3844   -0.9403    0.1479    3.1598    0.3731    0.3831    0.1555    1.4839    0.0395    1.1504    0.0707
+#&gt; 470:    92.1987   -5.8267   -0.0755    2.3841   -0.9403    0.1482    3.1611    0.3730    0.3829    0.1555    1.4839    0.0395    1.1496    0.0708
+#&gt; 471:    92.1987   -5.8269   -0.0756    2.3839   -0.9404    0.1482    3.1627    0.3730    0.3826    0.1555    1.4839    0.0395    1.1492    0.0708
+#&gt; 472:    92.1983   -5.8269   -0.0758    2.3838   -0.9403    0.1480    3.1618    0.3729    0.3823    0.1555    1.4839    0.0395    1.1493    0.0708
+#&gt; 473:    92.1980   -5.8264   -0.0760    2.3836   -0.9402    0.1478    3.1602    0.3728    0.3820    0.1554    1.4839    0.0395    1.1489    0.0708
+#&gt; 474:    92.1976   -5.8256   -0.0762    2.3834   -0.9402    0.1475    3.1565    0.3727    0.3818    0.1554    1.4842    0.0395    1.1487    0.0708
+#&gt; 475:    92.1971   -5.8252   -0.0763    2.3832   -0.9402    0.1473    3.1543    0.3726    0.3816    0.1553    1.4845    0.0395    1.1487    0.0707
+#&gt; 476:    92.1965   -5.8250   -0.0765    2.3830   -0.9402    0.1469    3.1523    0.3725    0.3814    0.1552    1.4846    0.0395    1.1484    0.0707
+#&gt; 477:    92.1960   -5.8242   -0.0766    2.3827   -0.9402    0.1465    3.1483    0.3724    0.3811    0.1552    1.4849    0.0395    1.1483    0.0708
+#&gt; 478:    92.1955   -5.8236   -0.0767    2.3826   -0.9402    0.1463    3.1447    0.3722    0.3808    0.1553    1.4854    0.0395    1.1481    0.0708
+#&gt; 479:    92.1952   -5.8232   -0.0769    2.3824   -0.9401    0.1462    3.1421    0.3722    0.3805    0.1554    1.4857    0.0395    1.1478    0.0708
+#&gt; 480:    92.1948   -5.8235   -0.0770    2.3822   -0.9400    0.1461    3.1426    0.3721    0.3803    0.1554    1.4862    0.0395    1.1478    0.0708
+#&gt; 481:    92.1947   -5.8240   -0.0772    2.3820   -0.9399    0.1459    3.1455    0.3721    0.3801    0.1554    1.4868    0.0395    1.1483    0.0708
+#&gt; 482:    92.1948   -5.8244   -0.0774    2.3817   -0.9399    0.1456    3.1476    0.3720    0.3799    0.1553    1.4873    0.0395    1.1488    0.0708
+#&gt; 483:    92.1944   -5.8247   -0.0776    2.3815   -0.9397    0.1455    3.1487    0.3719    0.3797    0.1553    1.4876    0.0394    1.1494    0.0708
+#&gt; 484:    92.1941   -5.8249   -0.0778    2.3811   -0.9396    0.1454    3.1493    0.3719    0.3795    0.1554    1.4879    0.0394    1.1501    0.0707
+#&gt; 485:    92.1940   -5.8252   -0.0780    2.3809   -0.9396    0.1453    3.1501    0.3718    0.3793    0.1554    1.4881    0.0394    1.1503    0.0707
+#&gt; 486:    92.1936   -5.8249   -0.0781    2.3807   -0.9395    0.1453    3.1486    0.3717    0.3792    0.1554    1.4884    0.0394    1.1508    0.0707
+#&gt; 487:    92.1935   -5.8248   -0.0783    2.3804   -0.9394    0.1453    3.1485    0.3716    0.3791    0.1553    1.4887    0.0393    1.1507    0.0707
+#&gt; 488:    92.1932   -5.8246   -0.0785    2.3800   -0.9394    0.1454    3.1478    0.3715    0.3788    0.1552    1.4892    0.0393    1.1510    0.0707
+#&gt; 489:    92.1931   -5.8241   -0.0787    2.3796   -0.9394    0.1455    3.1468    0.3715    0.3787    0.1551    1.4895    0.0393    1.1514    0.0706
+#&gt; 490:    92.1934   -5.8242   -0.0790    2.3793   -0.9393    0.1456    3.1478    0.3715    0.3786    0.1551    1.4898    0.0393    1.1528    0.0706
+#&gt; 491:    92.1936   -5.8241   -0.0792    2.3788   -0.9392    0.1455    3.1472    0.3715    0.3785    0.1551    1.4900    0.0393    1.1533    0.0706
+#&gt; 492:    92.1940   -5.8234   -0.0794    2.3783   -0.9391    0.1455    3.1449    0.3714    0.3783    0.1551    1.4903    0.0392    1.1538    0.0705
+#&gt; 493:    92.1943   -5.8230   -0.0797    2.3779   -0.9390    0.1455    3.1426    0.3714    0.3783    0.1552    1.4907    0.0392    1.1541    0.0705
+#&gt; 494:    92.1946   -5.8226   -0.0799    2.3774   -0.9390    0.1458    3.1405    0.3713    0.3782    0.1551    1.4911    0.0392    1.1541    0.0706
+#&gt; 495:    92.1948   -5.8219   -0.0802    2.3770   -0.9391    0.1459    3.1366    0.3712    0.3782    0.1551    1.4916    0.0392    1.1543    0.0706
+#&gt; 496:    92.1948   -5.8213   -0.0804    2.3766   -0.9392    0.1460    3.1331    0.3711    0.3781    0.1552    1.4920    0.0392    1.1556    0.0705
+#&gt; 497:    92.1949   -5.8213   -0.0806    2.3762   -0.9393    0.1462    3.1326    0.3711    0.3780    0.1553    1.4923    0.0391    1.1564    0.0705
+#&gt; 498:    92.1950   -5.8215   -0.0808    2.3758   -0.9394    0.1462    3.1331    0.3710    0.3779    0.1553    1.4926    0.0391    1.1568    0.0705
+#&gt; 499:    92.1953   -5.8219   -0.0810    2.3754   -0.9395    0.1461    3.1343    0.3709    0.3778    0.1554    1.4929    0.0391    1.1567    0.0705
+#&gt; 500:    92.1957   -5.8232   -0.0812    2.3751   -0.9395    0.1459    3.1411    0.3709    0.3776    0.1554    1.4931    0.0391    1.1575    0.0705</div><div class='output co'>#&gt; <span class='message'>Calculating covariance matrix</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='input'><span class='va'>f_nlmixr_fomc_sfo_focei_obs_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_tc</span><span class='op'>[</span><span class='st'>"FOMC-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span>,
+  error_model <span class='op'>=</span> <span class='st'>"obs_tc"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"
+#&gt; <span style='font-weight: bold;'>Key:</span> U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
+#&gt; F: Forward difference gradient approximation
+#&gt; C: Central difference gradient approximation
+#&gt; M: Mixed forward and central difference gradient approximation
+#&gt; Unscaled parameters for Omegas=chol(solve(omega));
+#&gt; Diagonals are transformed, as specified by foceiControl(diagXform=)
+#&gt; |-----+---------------+-----------+-----------+-----------+-----------|
+#&gt; |    #| Objective Fun |  parent_0 |  log_k_A1 |f_parent_qlogis | log_alpha |
+#&gt; |.....................|  log_beta |sigma_low_parent |rsd_high_parent |sigma_low_A1 |
+#&gt; |.....................|rsd_high_A1 |        o1 |        o2 |        o3 |
+#&gt; <span style='text-decoration: underline;'>|.....................|        o4 |        o5 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    1</span>|     500.20030 |     1.000 |    -1.000 |   -0.9113 |   -0.8944 |
+#&gt; |.....................|   -0.8454 |   -0.8678 |   -0.8916 |   -0.8678 |
+#&gt; |.....................|   -0.8916 |   -0.8767 |   -0.8743 |   -0.8675 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8704 |   -0.8704 |...........|...........|</span>
+#&gt; |    U|      500.2003 |     93.00 |    -5.300 |   -0.9400 |   -0.1100 |
+#&gt; |.....................|     2.300 |     1.200 |   0.03000 |     1.200 |
+#&gt; |.....................|   0.03000 |    0.7598 |    0.8758 |     1.214 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.068 |     1.071 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      500.2003</span> |     93.00 |  0.004992 |    0.2809 |    0.8958 |
+#&gt; |.....................|     9.974 |     1.200 |   0.03000 |     1.200 |
+#&gt; |.....................|   0.03000 |    0.7598 |    0.8758 |     1.214 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.068 |     1.071 |...........|...........|</span>
+#&gt; |    G|    Gill Diff. |     48.88 |     2.383 |    0.1231 |    0.1986 |
+#&gt; |.....................|    0.1571 |    -68.85 |    -20.11 |     3.616 |
+#&gt; |.....................|    -2.292 |    0.6250 |     11.41 |    -12.48 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -9.903 |    -10.91 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    2</span>|     2737.7532 |    0.4556 |    -1.027 |   -0.9127 |   -0.8966 |
+#&gt; |.....................|   -0.8471 |   -0.1009 |   -0.6676 |   -0.9080 |
+#&gt; |.....................|   -0.8660 |   -0.8837 |    -1.001 |   -0.7285 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7601 |   -0.7489 |...........|...........|</span>
+#&gt; |    U|     2737.7532 |     42.37 |    -5.327 |   -0.9413 |   -0.1122 |
+#&gt; |.....................|     2.298 |     1.660 |   0.03336 |     1.176 |
+#&gt; |.....................|   0.03038 |    0.7545 |    0.7645 |     1.383 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.185 |     1.201 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     2737.7532</span> |     42.37 |  0.004861 |    0.2806 |    0.8939 |
+#&gt; |.....................|     9.957 |     1.660 |   0.03336 |     1.176 |
+#&gt; |.....................|   0.03038 |    0.7545 |    0.7645 |     1.383 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.185 |     1.201 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    3</span>|     513.07755 |    0.9456 |    -1.003 |   -0.9114 |   -0.8946 |
+#&gt; |.....................|   -0.8455 |   -0.7911 |   -0.8692 |   -0.8718 |
+#&gt; |.....................|   -0.8890 |   -0.8774 |   -0.8871 |   -0.8536 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8594 |   -0.8582 |...........|...........|</span>
+#&gt; |    U|     513.07755 |     87.94 |    -5.303 |   -0.9401 |   -0.1102 |
+#&gt; |.....................|     2.300 |     1.246 |   0.03034 |     1.198 |
+#&gt; |.....................|   0.03004 |    0.7593 |    0.8646 |     1.231 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.079 |     1.084 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     513.07755</span> |     87.94 |  0.004978 |    0.2809 |    0.8956 |
+#&gt; |.....................|     9.972 |     1.246 |   0.03034 |     1.198 |
+#&gt; |.....................|   0.03004 |    0.7593 |    0.8646 |     1.231 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.079 |     1.084 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    4</span>|     499.28604 |    0.9888 |    -1.001 |   -0.9113 |   -0.8945 |
+#&gt; |.....................|   -0.8454 |   -0.8520 |   -0.8870 |   -0.8686 |
+#&gt; |.....................|   -0.8910 |   -0.8769 |   -0.8770 |   -0.8646 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8682 |   -0.8679 |...........|...........|</span>
+#&gt; |    U|     499.28604 |     91.96 |    -5.301 |   -0.9400 |   -0.1100 |
+#&gt; |.....................|     2.300 |     1.209 |   0.03007 |     1.200 |
+#&gt; |.....................|   0.03001 |    0.7597 |    0.8735 |     1.218 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.070 |     1.074 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     499.28604</span> |     91.96 |  0.004989 |    0.2809 |    0.8958 |
+#&gt; |.....................|     9.974 |     1.209 |   0.03007 |     1.200 |
+#&gt; |.....................|   0.03001 |    0.7597 |    0.8735 |     1.218 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.070 |     1.074 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -111.5 |     2.236 |   -0.2057 |    0.1035 |
+#&gt; |.....................|   -0.1971 |    -66.17 |    -21.17 |     4.107 |
+#&gt; |.....................|    -1.586 |     1.583 |     8.991 |    -11.70 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -9.625 |    -10.49 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    5</span>|     497.76004 |     1.001 |    -1.001 |   -0.9113 |   -0.8945 |
+#&gt; |.....................|   -0.8454 |   -0.8366 |   -0.8822 |   -0.8695 |
+#&gt; |.....................|   -0.8906 |   -0.8771 |   -0.8792 |   -0.8619 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8660 |   -0.8654 |...........|...........|</span>
+#&gt; |    U|     497.76004 |     93.05 |    -5.301 |   -0.9400 |   -0.1101 |
+#&gt; |.....................|     2.300 |     1.219 |   0.03014 |     1.199 |
+#&gt; |.....................|   0.03001 |    0.7595 |    0.8715 |     1.221 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.072 |     1.076 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     497.76004</span> |     93.05 |  0.004986 |    0.2809 |    0.8958 |
+#&gt; |.....................|     9.974 |     1.219 |   0.03014 |     1.199 |
+#&gt; |.....................|   0.03001 |    0.7595 |    0.8715 |     1.221 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.072 |     1.076 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     56.91 |     2.356 |    0.1468 |    0.2109 |
+#&gt; |.....................|    0.1761 |    -64.61 |    -18.67 |     3.291 |
+#&gt; |.....................|    -1.680 |     1.108 |     8.338 |    -11.70 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -9.518 |    -10.47 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    6</span>|     496.73820 |    0.9899 |    -1.002 |   -0.9113 |   -0.8945 |
+#&gt; |.....................|   -0.8454 |   -0.8205 |   -0.8775 |   -0.8703 |
+#&gt; |.....................|   -0.8902 |   -0.8774 |   -0.8813 |   -0.8590 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8636 |   -0.8628 |...........|...........|</span>
+#&gt; |    U|      496.7382 |     92.06 |    -5.302 |   -0.9400 |   -0.1101 |
+#&gt; |.....................|     2.300 |     1.228 |   0.03021 |     1.198 |
+#&gt; |.....................|   0.03002 |    0.7593 |    0.8696 |     1.225 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.075 |     1.079 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      496.7382</span> |     92.06 |  0.004983 |    0.2809 |    0.8957 |
+#&gt; |.....................|     9.974 |     1.228 |   0.03021 |     1.198 |
+#&gt; |.....................|   0.03002 |    0.7593 |    0.8696 |     1.225 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.075 |     1.079 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -94.52 |     2.222 |   -0.1721 |    0.1131 |
+#&gt; |.....................|   -0.1712 |    -62.76 |    -19.55 |     3.974 |
+#&gt; |.....................|    -1.718 |     1.304 |     7.360 |    -11.47 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -9.402 |    -10.21 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    7</span>|     495.33979 |     1.001 |    -1.002 |   -0.9113 |   -0.8946 |
+#&gt; |.....................|   -0.8454 |   -0.8044 |   -0.8726 |   -0.8713 |
+#&gt; |.....................|   -0.8897 |   -0.8777 |   -0.8834 |   -0.8560 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8612 |   -0.8602 |...........|...........|</span>
+#&gt; |    U|     495.33979 |     93.05 |    -5.302 |   -0.9400 |   -0.1102 |
+#&gt; |.....................|     2.300 |     1.238 |   0.03028 |     1.198 |
+#&gt; |.....................|   0.03003 |    0.7591 |    0.8679 |     1.228 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.077 |     1.082 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     495.33979</span> |     93.05 |  0.004981 |    0.2809 |    0.8957 |
+#&gt; |.....................|     9.974 |     1.238 |   0.03028 |     1.198 |
+#&gt; |.....................|   0.03003 |    0.7591 |    0.8679 |     1.228 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.077 |     1.082 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     56.11 |     2.327 |    0.1520 |    0.2091 |
+#&gt; |.....................|    0.1742 |    -61.13 |    -17.23 |     3.435 |
+#&gt; |.....................|    -1.620 |     1.132 |     9.399 |    -11.44 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -9.328 |    -10.19 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    8</span>|     494.31617 |    0.9904 |    -1.003 |   -0.9113 |   -0.8946 |
+#&gt; |.....................|   -0.8455 |   -0.7881 |   -0.8680 |   -0.8722 |
+#&gt; |.....................|   -0.8893 |   -0.8780 |   -0.8859 |   -0.8530 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8587 |   -0.8575 |...........|...........|</span>
+#&gt; |    U|     494.31617 |     92.11 |    -5.303 |   -0.9400 |   -0.1102 |
+#&gt; |.....................|     2.300 |     1.248 |   0.03035 |     1.197 |
+#&gt; |.....................|   0.03003 |    0.7589 |    0.8657 |     1.232 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.080 |     1.085 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     494.31617</span> |     92.11 |  0.004977 |    0.2809 |    0.8956 |
+#&gt; |.....................|     9.973 |     1.248 |   0.03035 |     1.197 |
+#&gt; |.....................|   0.03003 |    0.7589 |    0.8657 |     1.232 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.080 |     1.085 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -86.81 |     2.198 |   -0.1566 |    0.1238 |
+#&gt; |.....................|   -0.1638 |    -59.37 |    -18.02 |     4.057 |
+#&gt; |.....................|    -1.591 |     1.325 |     8.479 |    -11.19 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -9.201 |    -9.937 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    9</span>|     493.00423 |     1.001 |    -1.003 |   -0.9113 |   -0.8947 |
+#&gt; |.....................|   -0.8454 |   -0.7718 |   -0.8631 |   -0.8732 |
+#&gt; |.....................|   -0.8888 |   -0.8783 |   -0.8883 |   -0.8499 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8562 |   -0.8548 |...........|...........|</span>
+#&gt; |    U|     493.00423 |     93.05 |    -5.303 |   -0.9400 |   -0.1103 |
+#&gt; |.....................|     2.300 |     1.258 |   0.03043 |     1.197 |
+#&gt; |.....................|   0.03004 |    0.7586 |    0.8635 |     1.236 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.083 |     1.088 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     493.00423</span> |     93.05 |  0.004974 |    0.2809 |    0.8956 |
+#&gt; |.....................|     9.974 |     1.258 |   0.03043 |     1.197 |
+#&gt; |.....................|   0.03004 |    0.7586 |    0.8635 |     1.236 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.083 |     1.088 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     54.84 |     2.286 |    0.1404 |    0.2142 |
+#&gt; |.....................|    0.1628 |    -57.96 |    -15.94 |     3.372 |
+#&gt; |.....................|    -1.642 |     1.184 |     9.036 |    -11.17 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -9.110 |    -9.901 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   10</span>|     491.99601 |    0.9908 |    -1.004 |   -0.9114 |   -0.8947 |
+#&gt; |.....................|   -0.8455 |   -0.7552 |   -0.8585 |   -0.8742 |
+#&gt; |.....................|   -0.8884 |   -0.8786 |   -0.8910 |   -0.8467 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8536 |   -0.8520 |...........|...........|</span>
+#&gt; |    U|     491.99601 |     92.15 |    -5.304 |   -0.9401 |   -0.1103 |
+#&gt; |.....................|     2.300 |     1.268 |   0.03050 |     1.196 |
+#&gt; |.....................|   0.03005 |    0.7584 |    0.8612 |     1.239 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.085 |     1.091 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     491.99601</span> |     92.15 |  0.004971 |    0.2809 |    0.8956 |
+#&gt; |.....................|     9.973 |     1.268 |   0.03050 |     1.196 |
+#&gt; |.....................|   0.03005 |    0.7584 |    0.8612 |     1.239 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.085 |     1.091 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -80.67 |     2.171 |   -0.1367 |    0.1256 |
+#&gt; |.....................|   -0.1610 |    -56.13 |    -16.61 |     4.047 |
+#&gt; |.....................|    -1.607 |     1.226 |     8.142 |    -10.92 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -8.982 |    -9.644 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   11</span>|     490.76421 |     1.000 |    -1.005 |   -0.9113 |   -0.8948 |
+#&gt; |.....................|   -0.8455 |   -0.7388 |   -0.8538 |   -0.8754 |
+#&gt; |.....................|   -0.8879 |   -0.8790 |   -0.8935 |   -0.8435 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8510 |   -0.8492 |...........|...........|</span>
+#&gt; |    U|     490.76421 |     93.04 |    -5.305 |   -0.9401 |   -0.1104 |
+#&gt; |.....................|     2.300 |     1.277 |   0.03057 |     1.195 |
+#&gt; |.....................|   0.03006 |    0.7581 |    0.8590 |     1.243 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.088 |     1.094 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     490.76421</span> |     93.04 |  0.004968 |    0.2809 |    0.8955 |
+#&gt; |.....................|     9.973 |     1.277 |   0.03057 |     1.195 |
+#&gt; |.....................|   0.03006 |    0.7581 |    0.8590 |     1.243 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.088 |     1.094 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     54.34 |     2.256 |    0.1715 |    0.2224 |
+#&gt; |.....................|    0.1653 |    -54.87 |    -14.72 |     3.299 |
+#&gt; |.....................|    -1.777 |     1.023 |     8.651 |    -10.90 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -8.887 |    -9.594 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   12</span>|     489.76286 |    0.9913 |    -1.005 |   -0.9114 |   -0.8948 |
+#&gt; |.....................|   -0.8455 |   -0.7220 |   -0.8492 |   -0.8764 |
+#&gt; |.....................|   -0.8873 |   -0.8793 |   -0.8962 |   -0.8402 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8483 |   -0.8462 |...........|...........|</span>
+#&gt; |    U|     489.76286 |     92.19 |    -5.305 |   -0.9401 |   -0.1104 |
+#&gt; |.....................|     2.300 |     1.287 |   0.03063 |     1.195 |
+#&gt; |.....................|   0.03006 |    0.7579 |    0.8566 |     1.247 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.091 |     1.097 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     489.76286</span> |     92.19 |  0.004965 |    0.2809 |    0.8955 |
+#&gt; |.....................|     9.973 |     1.287 |   0.03063 |     1.195 |
+#&gt; |.....................|   0.03006 |    0.7579 |    0.8566 |     1.247 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.091 |     1.097 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -73.18 |     2.145 |   -0.1190 |    0.1261 |
+#&gt; |.....................|   -0.1580 |    -53.08 |    -15.27 |     4.015 |
+#&gt; |.....................|    -1.639 |     1.110 |     7.813 |    -10.65 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -8.743 |    -9.338 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   13</span>|     488.61493 |     1.000 |    -1.006 |   -0.9114 |   -0.8949 |
+#&gt; |.....................|   -0.8455 |   -0.7053 |   -0.8446 |   -0.8776 |
+#&gt; |.....................|   -0.8867 |   -0.8796 |   -0.8989 |   -0.8368 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8455 |   -0.8433 |...........|...........|</span>
+#&gt; |    U|     488.61493 |     93.04 |    -5.306 |   -0.9401 |   -0.1105 |
+#&gt; |.....................|     2.300 |     1.297 |   0.03070 |     1.194 |
+#&gt; |.....................|   0.03007 |    0.7577 |    0.8543 |     1.252 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.094 |     1.100 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     488.61493</span> |     93.04 |  0.004961 |    0.2809 |    0.8954 |
+#&gt; |.....................|     9.973 |     1.297 |   0.03070 |     1.194 |
+#&gt; |.....................|   0.03007 |    0.7577 |    0.8543 |     1.252 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.094 |     1.100 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     54.41 |     2.230 |    0.1889 |    0.2376 |
+#&gt; |.....................|    0.1637 |    -52.01 |    -13.54 |     3.223 |
+#&gt; |.....................|    -1.937 |    0.8847 |     10.07 |    -10.59 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -8.650 |    -9.282 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   14</span>|     487.61806 |    0.9919 |    -1.007 |   -0.9114 |   -0.8949 |
+#&gt; |.....................|   -0.8455 |   -0.6884 |   -0.8402 |   -0.8788 |
+#&gt; |.....................|   -0.8861 |   -0.8798 |   -0.9022 |   -0.8333 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8427 |   -0.8402 |...........|...........|</span>
+#&gt; |    U|     487.61806 |     92.24 |    -5.307 |   -0.9401 |   -0.1105 |
+#&gt; |.....................|     2.300 |     1.308 |   0.03077 |     1.193 |
+#&gt; |.....................|   0.03008 |    0.7575 |    0.8514 |     1.256 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.097 |     1.103 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     487.61806</span> |     92.24 |  0.004958 |    0.2809 |    0.8953 |
+#&gt; |.....................|     9.973 |     1.308 |   0.03077 |     1.193 |
+#&gt; |.....................|   0.03008 |    0.7575 |    0.8514 |     1.256 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.097 |     1.103 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -64.97 |     2.116 |  -0.09941 |    0.1372 |
+#&gt; |.....................|   -0.1475 |    -50.35 |    -14.02 |     3.916 |
+#&gt; |.....................|    -1.790 |    0.8979 |     9.163 |    -10.32 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -8.505 |    -9.022 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   15</span>|     486.55968 |     1.001 |    -1.008 |   -0.9114 |   -0.8950 |
+#&gt; |.....................|   -0.8455 |   -0.6717 |   -0.8358 |   -0.8800 |
+#&gt; |.....................|   -0.8854 |   -0.8801 |   -0.9058 |   -0.8297 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8398 |   -0.8372 |...........|...........|</span>
+#&gt; |    U|     486.55968 |     93.05 |    -5.308 |   -0.9401 |   -0.1106 |
+#&gt; |.....................|     2.300 |     1.318 |   0.03084 |     1.193 |
+#&gt; |.....................|   0.03009 |    0.7573 |    0.8482 |     1.260 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.100 |     1.107 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     486.55968</span> |     93.05 |  0.004954 |    0.2809 |    0.8953 |
+#&gt; |.....................|     9.973 |     1.318 |   0.03084 |     1.193 |
+#&gt; |.....................|   0.03009 |    0.7573 |    0.8482 |     1.260 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.100 |     1.107 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     55.08 |     2.188 |    0.1916 |    0.2341 |
+#&gt; |.....................|    0.1660 |    -48.95 |    -12.27 |     3.347 |
+#&gt; |.....................|    -1.726 |    0.9589 |     6.446 |    -10.30 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -8.390 |    -8.950 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   16</span>|     485.60262 |    0.9920 |    -1.008 |   -0.9115 |   -0.8951 |
+#&gt; |.....................|   -0.8455 |   -0.6547 |   -0.8316 |   -0.8813 |
+#&gt; |.....................|   -0.8847 |   -0.8804 |   -0.9083 |   -0.8260 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8367 |   -0.8340 |...........|...........|</span>
+#&gt; |    U|     485.60262 |     92.26 |    -5.308 |   -0.9402 |   -0.1107 |
+#&gt; |.....................|     2.300 |     1.328 |   0.03090 |     1.192 |
+#&gt; |.....................|   0.03010 |    0.7571 |    0.8460 |     1.265 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.104 |     1.110 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     485.60262</span> |     92.26 |  0.004950 |    0.2809 |    0.8952 |
+#&gt; |.....................|     9.973 |     1.328 |   0.03090 |     1.192 |
+#&gt; |.....................|   0.03010 |    0.7571 |    0.8460 |     1.265 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.104 |     1.110 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -62.47 |     2.078 |  -0.09882 |    0.1294 |
+#&gt; |.....................|   -0.1587 |    -47.42 |    -12.81 |     3.926 |
+#&gt; |.....................|    -1.683 |    0.9415 |     5.611 |    -10.02 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -8.237 |    -8.679 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   17</span>|     484.58535 |     1.000 |    -1.009 |   -0.9115 |   -0.8952 |
+#&gt; |.....................|   -0.8455 |   -0.6375 |   -0.8274 |   -0.8829 |
+#&gt; |.....................|   -0.8840 |   -0.8807 |   -0.9099 |   -0.8222 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8336 |   -0.8307 |...........|...........|</span>
+#&gt; |    U|     484.58535 |     93.02 |    -5.309 |   -0.9402 |   -0.1107 |
+#&gt; |.....................|     2.300 |     1.338 |   0.03096 |     1.191 |
+#&gt; |.....................|   0.03011 |    0.7568 |    0.8446 |     1.269 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.107 |     1.114 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     484.58535</span> |     93.02 |  0.004946 |    0.2809 |    0.8952 |
+#&gt; |.....................|     9.973 |     1.338 |   0.03096 |     1.191 |
+#&gt; |.....................|   0.03011 |    0.7568 |    0.8446 |     1.269 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.107 |     1.114 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     50.15 |     2.155 |    0.1960 |    0.2225 |
+#&gt; |.....................|    0.1509 |    -46.14 |    -11.19 |     3.405 |
+#&gt; |.....................|    -1.652 |     1.035 |     7.536 |    -9.951 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -8.121 |    -8.609 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   18</span>|     483.66860 |    0.9923 |    -1.010 |   -0.9115 |   -0.8952 |
+#&gt; |.....................|   -0.8455 |   -0.6203 |   -0.8235 |   -0.8844 |
+#&gt; |.....................|   -0.8833 |   -0.8810 |   -0.9123 |   -0.8182 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8303 |   -0.8273 |...........|...........|</span>
+#&gt; |    U|      483.6686 |     92.29 |    -5.310 |   -0.9402 |   -0.1108 |
+#&gt; |.....................|     2.300 |     1.348 |   0.03102 |     1.190 |
+#&gt; |.....................|   0.03012 |    0.7565 |    0.8425 |     1.274 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.110 |     1.117 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      483.6686</span> |     92.29 |  0.004942 |    0.2809 |    0.8951 |
+#&gt; |.....................|     9.973 |     1.348 |   0.03102 |     1.190 |
+#&gt; |.....................|   0.03012 |    0.7565 |    0.8425 |     1.274 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.110 |     1.117 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -57.62 |     2.059 |  -0.07549 |    0.1395 |
+#&gt; |.....................|   -0.1501 |    -44.74 |    -11.66 |     3.913 |
+#&gt; |.....................|    -1.664 |    0.8845 |     6.781 |    -9.703 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -7.961 |    -8.325 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   19</span>|     482.71012 |     1.000 |    -1.011 |   -0.9115 |   -0.8953 |
+#&gt; |.....................|   -0.8455 |   -0.6032 |   -0.8198 |   -0.8861 |
+#&gt; |.....................|   -0.8825 |   -0.8814 |   -0.9153 |   -0.8141 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8270 |   -0.8239 |...........|...........|</span>
+#&gt; |    U|     482.71012 |     93.02 |    -5.311 |   -0.9402 |   -0.1109 |
+#&gt; |.....................|     2.300 |     1.359 |   0.03108 |     1.189 |
+#&gt; |.....................|   0.03014 |    0.7563 |    0.8399 |     1.279 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.114 |     1.121 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     482.71012</span> |     93.02 |  0.004937 |    0.2809 |    0.8950 |
+#&gt; |.....................|     9.973 |     1.359 |   0.03108 |     1.189 |
+#&gt; |.....................|   0.03014 |    0.7563 |    0.8399 |     1.279 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.114 |     1.121 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     48.98 |     2.122 |    0.2043 |    0.2315 |
+#&gt; |.....................|    0.1449 |    -43.47 |    -10.15 |     3.365 |
+#&gt; |.....................|    -1.703 |    0.9582 |     7.160 |    -9.600 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -7.838 |    -8.245 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   20</span>|     481.83107 |    0.9926 |    -1.012 |   -0.9116 |   -0.8954 |
+#&gt; |.....................|   -0.8455 |   -0.5860 |   -0.8164 |   -0.8879 |
+#&gt; |.....................|   -0.8817 |   -0.8818 |   -0.9184 |   -0.8098 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8235 |   -0.8203 |...........|...........|</span>
+#&gt; |    U|     481.83107 |     92.31 |    -5.312 |   -0.9403 |   -0.1110 |
+#&gt; |.....................|     2.300 |     1.369 |   0.03113 |     1.188 |
+#&gt; |.....................|   0.03015 |    0.7560 |    0.8372 |     1.284 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.118 |     1.125 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     481.83107</span> |     92.31 |  0.004932 |    0.2808 |    0.8949 |
+#&gt; |.....................|     9.973 |     1.369 |   0.03113 |     1.188 |
+#&gt; |.....................|   0.03015 |    0.7560 |    0.8372 |     1.284 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.118 |     1.125 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -54.27 |     2.027 |  -0.06740 |    0.1414 |
+#&gt; |.....................|   -0.1465 |    -41.84 |    -10.48 |     3.798 |
+#&gt; |.....................|    -1.730 |    0.8044 |     6.401 |    -9.335 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -7.662 |    -7.960 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   21</span>|     480.92878 |     1.000 |    -1.013 |   -0.9117 |   -0.8955 |
+#&gt; |.....................|   -0.8455 |   -0.5689 |   -0.8133 |   -0.8899 |
+#&gt; |.....................|   -0.8807 |   -0.8821 |   -0.9215 |   -0.8053 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8199 |   -0.8166 |...........|...........|</span>
+#&gt; |    U|     480.92878 |     93.01 |    -5.313 |   -0.9403 |   -0.1111 |
+#&gt; |.....................|     2.300 |     1.379 |   0.03117 |     1.187 |
+#&gt; |.....................|   0.03016 |    0.7557 |    0.8345 |     1.290 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.122 |     1.129 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     480.92878</span> |     93.01 |  0.004927 |    0.2808 |    0.8948 |
+#&gt; |.....................|     9.973 |     1.379 |   0.03117 |     1.187 |
+#&gt; |.....................|   0.03016 |    0.7557 |    0.8345 |     1.290 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.122 |     1.129 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     47.18 |     2.077 |    0.1996 |    0.2200 |
+#&gt; |.....................|    0.1318 |    -41.07 |    -9.197 |     3.259 |
+#&gt; |.....................|    -1.748 |    0.9101 |     6.743 |    -9.229 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -7.511 |    -7.855 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   22</span>|     480.07574 |    0.9930 |    -1.014 |   -0.9117 |   -0.8956 |
+#&gt; |.....................|   -0.8455 |   -0.5517 |   -0.8106 |   -0.8919 |
+#&gt; |.....................|   -0.8795 |   -0.8825 |   -0.9247 |   -0.8007 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8161 |   -0.8129 |...........|...........|</span>
+#&gt; |    U|     480.07574 |     92.35 |    -5.314 |   -0.9404 |   -0.1112 |
+#&gt; |.....................|     2.300 |     1.390 |   0.03121 |     1.186 |
+#&gt; |.....................|   0.03018 |    0.7555 |    0.8317 |     1.295 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.126 |     1.133 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     480.07574</span> |     92.35 |  0.004921 |    0.2808 |    0.8947 |
+#&gt; |.....................|     9.973 |     1.390 |   0.03121 |     1.186 |
+#&gt; |.....................|   0.03018 |    0.7555 |    0.8317 |     1.295 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.126 |     1.133 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -48.22 |     1.995 |  -0.04658 |    0.1415 |
+#&gt; |.....................|   -0.1316 |    -39.56 |    -9.522 |     3.639 |
+#&gt; |.....................|    -1.878 |    0.6154 |     4.556 |    -8.937 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -7.320 |    -7.563 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   23</span>|     479.25211 |     1.000 |    -1.015 |   -0.9118 |   -0.8957 |
+#&gt; |.....................|   -0.8454 |   -0.5343 |   -0.8082 |   -0.8940 |
+#&gt; |.....................|   -0.8781 |   -0.8826 |   -0.9261 |   -0.7958 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8122 |   -0.8090 |...........|...........|</span>
+#&gt; |    U|     479.25211 |     93.02 |    -5.315 |   -0.9405 |   -0.1113 |
+#&gt; |.....................|     2.300 |     1.400 |   0.03125 |     1.184 |
+#&gt; |.....................|   0.03020 |    0.7553 |    0.8305 |     1.301 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.130 |     1.137 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     479.25211</span> |     93.02 |  0.004915 |    0.2808 |    0.8946 |
+#&gt; |.....................|     9.974 |     1.400 |   0.03125 |     1.184 |
+#&gt; |.....................|   0.03020 |    0.7553 |    0.8305 |     1.301 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.130 |     1.137 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     48.39 |     2.048 |    0.2189 |    0.2175 |
+#&gt; |.....................|    0.1393 |    -38.80 |    -8.286 |     3.169 |
+#&gt; |.....................|    -1.757 |    0.9021 |     6.456 |    -8.802 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -7.165 |    -7.452 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   24</span>|     478.42395 |    0.9935 |    -1.017 |   -0.9119 |   -0.8959 |
+#&gt; |.....................|   -0.8454 |   -0.5169 |   -0.8064 |   -0.8963 |
+#&gt; |.....................|   -0.8766 |   -0.8829 |   -0.9277 |   -0.7908 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8081 |   -0.8051 |...........|...........|</span>
+#&gt; |    U|     478.42395 |     92.40 |    -5.317 |   -0.9406 |   -0.1115 |
+#&gt; |.....................|     2.300 |     1.411 |   0.03128 |     1.183 |
+#&gt; |.....................|   0.03022 |    0.7552 |    0.8290 |     1.307 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.134 |     1.141 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     478.42395</span> |     92.40 |  0.004909 |    0.2808 |    0.8945 |
+#&gt; |.....................|     9.974 |     1.411 |   0.03128 |     1.183 |
+#&gt; |.....................|   0.03022 |    0.7552 |    0.8290 |     1.307 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.134 |     1.141 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -41.65 |     1.977 |  -0.02866 |    0.1453 |
+#&gt; |.....................|   -0.1180 |    -37.67 |    -8.677 |     3.579 |
+#&gt; |.....................|    -1.774 |    0.6894 |     5.855 |    -8.506 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -6.962 |    -7.153 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   25</span>|     477.65816 |     1.000 |    -1.018 |   -0.9120 |   -0.8960 |
+#&gt; |.....................|   -0.8454 |   -0.4997 |   -0.8051 |   -0.8988 |
+#&gt; |.....................|   -0.8750 |   -0.8832 |   -0.9313 |   -0.7859 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8042 |   -0.8013 |...........|...........|</span>
+#&gt; |    U|     477.65816 |     93.02 |    -5.318 |   -0.9406 |   -0.1116 |
+#&gt; |.....................|     2.300 |     1.421 |   0.03130 |     1.181 |
+#&gt; |.....................|   0.03025 |    0.7549 |    0.8259 |     1.313 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.138 |     1.145 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     477.65816</span> |     93.02 |  0.004901 |    0.2808 |    0.8944 |
+#&gt; |.....................|     9.974 |     1.421 |   0.03130 |     1.181 |
+#&gt; |.....................|   0.03025 |    0.7549 |    0.8259 |     1.313 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.138 |     1.145 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     47.50 |     2.013 |    0.2278 |    0.2145 |
+#&gt; |.....................|    0.1415 |    -36.68 |    -7.460 |     3.039 |
+#&gt; |.....................|    -1.807 |    0.8669 |     6.124 |    -8.373 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -6.814 |    -7.074 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   26</span>|     476.87668 |    0.9936 |    -1.020 |   -0.9121 |   -0.8962 |
+#&gt; |.....................|   -0.8454 |   -0.4825 |   -0.8047 |   -0.9014 |
+#&gt; |.....................|   -0.8732 |   -0.8836 |   -0.9351 |   -0.7808 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8001 |   -0.7975 |...........|...........|</span>
+#&gt; |    U|     476.87668 |     92.41 |    -5.320 |   -0.9408 |   -0.1117 |
+#&gt; |.....................|     2.300 |     1.431 |   0.03130 |     1.180 |
+#&gt; |.....................|   0.03028 |    0.7546 |    0.8226 |     1.319 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.143 |     1.149 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     476.87668</span> |     92.41 |  0.004893 |    0.2807 |    0.8943 |
+#&gt; |.....................|     9.974 |     1.431 |   0.03130 |     1.180 |
+#&gt; |.....................|   0.03028 |    0.7546 |    0.8226 |     1.319 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.143 |     1.149 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -40.64 |     1.935 |  -0.02164 |    0.1511 |
+#&gt; |.....................|   -0.1127 |    -35.59 |    -7.858 |     3.450 |
+#&gt; |.....................|    -1.805 |    0.6731 |     3.945 |    -8.048 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -6.589 |    -6.756 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   27</span>|     476.16299 |     1.000 |    -1.022 |   -0.9123 |   -0.8963 |
+#&gt; |.....................|   -0.8454 |   -0.4651 |   -0.8047 |   -0.9041 |
+#&gt; |.....................|   -0.8711 |   -0.8840 |   -0.9355 |   -0.7757 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7959 |   -0.7936 |...........|...........|</span>
+#&gt; |    U|     476.16299 |     93.01 |    -5.322 |   -0.9409 |   -0.1119 |
+#&gt; |.....................|     2.300 |     1.442 |   0.03130 |     1.178 |
+#&gt; |.....................|   0.03031 |    0.7543 |    0.8222 |     1.326 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.147 |     1.153 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     476.16299</span> |     93.01 |  0.004885 |    0.2807 |    0.8941 |
+#&gt; |.....................|     9.974 |     1.442 |   0.03130 |     1.178 |
+#&gt; |.....................|   0.03031 |    0.7543 |    0.8222 |     1.326 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.147 |     1.153 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     44.38 |     1.982 |    0.2331 |    0.2213 |
+#&gt; |.....................|    0.1467 |    -34.64 |    -6.709 |     2.894 |
+#&gt; |.....................|    -1.888 |    0.7760 |     4.358 |    -7.901 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -6.419 |    -6.620 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   28</span>|     475.47434 |    0.9938 |    -1.024 |   -0.9125 |   -0.8966 |
+#&gt; |.....................|   -0.8454 |   -0.4477 |   -0.8058 |   -0.9069 |
+#&gt; |.....................|   -0.8685 |   -0.8844 |   -0.9328 |   -0.7706 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7919 |   -0.7898 |...........|...........|</span>
+#&gt; |    U|     475.47434 |     92.43 |    -5.324 |   -0.9411 |   -0.1122 |
+#&gt; |.....................|     2.300 |     1.452 |   0.03129 |     1.177 |
+#&gt; |.....................|   0.03035 |    0.7540 |    0.8246 |     1.332 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.151 |     1.157 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     475.47434</span> |     92.43 |  0.004875 |    0.2807 |    0.8939 |
+#&gt; |.....................|     9.974 |     1.452 |   0.03129 |     1.177 |
+#&gt; |.....................|   0.03035 |    0.7540 |    0.8246 |     1.332 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.151 |     1.157 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -38.01 |     1.932 |  -0.02542 |    0.1483 |
+#&gt; |.....................|   -0.1147 |    -33.71 |    -7.114 |     3.216 |
+#&gt; |.....................|    -1.879 |    0.6267 |     4.067 |    -7.573 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -6.213 |    -6.338 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   29</span>|     474.82575 |    0.9998 |    -1.026 |   -0.9126 |   -0.8968 |
+#&gt; |.....................|   -0.8454 |   -0.4303 |   -0.8075 |   -0.9096 |
+#&gt; |.....................|   -0.8656 |   -0.8846 |   -0.9310 |   -0.7657 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7878 |   -0.7862 |...........|...........|</span>
+#&gt; |    U|     474.82575 |     92.98 |    -5.326 |   -0.9413 |   -0.1124 |
+#&gt; |.....................|     2.300 |     1.462 |   0.03126 |     1.175 |
+#&gt; |.....................|   0.03039 |    0.7538 |    0.8261 |     1.338 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.156 |     1.161 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     474.82575</span> |     92.98 |  0.004864 |    0.2806 |    0.8937 |
+#&gt; |.....................|     9.974 |     1.462 |   0.03126 |     1.175 |
+#&gt; |.....................|   0.03039 |    0.7538 |    0.8261 |     1.338 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.156 |     1.161 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     40.83 |     1.980 |    0.2123 |    0.2125 |
+#&gt; |.....................|    0.1324 |    -32.65 |    -6.032 |     2.979 |
+#&gt; |.....................|    -1.922 |    0.7692 |     4.596 |    -7.426 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -6.058 |    -6.217 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   30</span>|     474.18202 |    0.9939 |    -1.028 |   -0.9128 |   -0.8971 |
+#&gt; |.....................|   -0.8454 |   -0.4131 |   -0.8106 |   -0.9130 |
+#&gt; |.....................|   -0.8620 |   -0.8851 |   -0.9307 |   -0.7608 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7838 |   -0.7828 |...........|...........|</span>
+#&gt; |    U|     474.18202 |     92.44 |    -5.328 |   -0.9414 |   -0.1127 |
+#&gt; |.....................|     2.300 |     1.473 |   0.03121 |     1.173 |
+#&gt; |.....................|   0.03044 |    0.7535 |    0.8264 |     1.344 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.160 |     1.165 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     474.18202</span> |     92.44 |  0.004852 |    0.2806 |    0.8935 |
+#&gt; |.....................|     9.974 |     1.473 |   0.03121 |     1.173 |
+#&gt; |.....................|   0.03044 |    0.7535 |    0.8264 |     1.344 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.160 |     1.165 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -37.33 |     1.920 |  -0.03157 |    0.1462 |
+#&gt; |.....................|   -0.1145 |    -31.92 |    -6.433 |     3.018 |
+#&gt; |.....................|    -1.919 |    0.6114 |     5.640 |    -7.155 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -5.876 |    -5.958 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   31</span>|     473.55376 |    0.9995 |    -1.031 |   -0.9130 |   -0.8973 |
+#&gt; |.....................|   -0.8454 |   -0.3971 |   -0.8148 |   -0.9162 |
+#&gt; |.....................|   -0.8581 |   -0.8855 |   -0.9368 |   -0.7563 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7800 |   -0.7797 |...........|...........|</span>
+#&gt; |    U|     473.55376 |     92.95 |    -5.331 |   -0.9416 |   -0.1129 |
+#&gt; |.....................|     2.300 |     1.482 |   0.03115 |     1.171 |
+#&gt; |.....................|   0.03050 |    0.7531 |    0.8211 |     1.349 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.164 |     1.168 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     473.55376</span> |     92.95 |  0.004838 |    0.2806 |    0.8932 |
+#&gt; |.....................|     9.974 |     1.482 |   0.03115 |     1.171 |
+#&gt; |.....................|   0.03050 |    0.7531 |    0.8211 |     1.349 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.164 |     1.168 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   32</span>|     472.90182 |    0.9995 |    -1.035 |   -0.9132 |   -0.8977 |
+#&gt; |.....................|   -0.8453 |   -0.3799 |   -0.8225 |   -0.9204 |
+#&gt; |.....................|   -0.8527 |   -0.8861 |   -0.9447 |   -0.7510 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7757 |   -0.7763 |...........|...........|</span>
+#&gt; |    U|     472.90182 |     92.96 |    -5.335 |   -0.9418 |   -0.1133 |
+#&gt; |.....................|     2.300 |     1.493 |   0.03104 |     1.168 |
+#&gt; |.....................|   0.03058 |    0.7527 |    0.8141 |     1.356 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.169 |     1.172 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     472.90182</span> |     92.96 |  0.004819 |    0.2805 |    0.8929 |
+#&gt; |.....................|     9.975 |     1.493 |   0.03104 |     1.168 |
+#&gt; |.....................|   0.03058 |    0.7527 |    0.8141 |     1.356 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.169 |     1.172 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   33</span>|     469.90339 |    0.9997 |    -1.054 |   -0.9142 |   -0.8996 |
+#&gt; |.....................|   -0.8452 |   -0.2944 |   -0.8611 |   -0.9412 |
+#&gt; |.....................|   -0.8255 |   -0.8889 |   -0.9843 |   -0.7249 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7539 |   -0.7597 |...........|...........|</span>
+#&gt; |    U|     469.90339 |     92.98 |    -5.354 |   -0.9427 |   -0.1152 |
+#&gt; |.....................|     2.300 |     1.544 |   0.03046 |     1.156 |
+#&gt; |.....................|   0.03099 |    0.7505 |    0.7794 |     1.387 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.192 |     1.190 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     469.90339</span> |     92.98 |  0.004727 |    0.2803 |    0.8912 |
+#&gt; |.....................|     9.976 |     1.544 |   0.03046 |     1.156 |
+#&gt; |.....................|   0.03099 |    0.7505 |    0.7794 |     1.387 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.192 |     1.190 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   34</span>|     461.71523 |     1.001 |    -1.134 |   -0.9184 |   -0.9072 |
+#&gt; |.....................|   -0.8447 |   0.05742 |    -1.020 |    -1.027 |
+#&gt; |.....................|   -0.7136 |   -0.9005 |    -1.147 |   -0.6175 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6642 |   -0.6913 |...........|...........|</span>
+#&gt; |    U|     461.71523 |     93.05 |    -5.434 |   -0.9467 |   -0.1228 |
+#&gt; |.....................|     2.301 |     1.755 |   0.02808 |     1.105 |
+#&gt; |.....................|   0.03267 |    0.7417 |    0.6368 |     1.518 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.288 |     1.263 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     461.71523</span> |     93.05 |  0.004366 |    0.2795 |    0.8844 |
+#&gt; |.....................|     9.981 |     1.755 |   0.02808 |     1.105 |
+#&gt; |.....................|   0.03267 |    0.7417 |    0.6368 |     1.518 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.288 |     1.263 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     11.20 |     1.045 |     1.020 |    0.3495 |
+#&gt; |.....................|    0.7923 |    -15.00 |   -0.3969 |    -1.315 |
+#&gt; |.....................|    -3.031 |    0.2676 |    -6.780 |    -1.078 |
+#&gt; <span style='text-decoration: underline;'>|.....................|  -0.09081 |    -1.463 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   35</span>|     459.94653 |     1.009 |    -1.206 |   -0.9768 |   -0.9283 |
+#&gt; |.....................|   -0.8884 |    0.4547 |    -1.238 |   -0.9419 |
+#&gt; |.....................|   -0.5030 |   -0.9080 |   -0.7892 |   -0.6450 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7313 |   -0.6959 |...........|...........|</span>
+#&gt; |    U|     459.94653 |     93.85 |    -5.506 |    -1.002 |   -0.1439 |
+#&gt; |.....................|     2.257 |     1.993 |   0.02480 |     1.155 |
+#&gt; |.....................|   0.03583 |    0.7361 |    0.9504 |     1.484 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.216 |     1.258 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     459.94653</span> |     93.85 |  0.004064 |    0.2686 |    0.8660 |
+#&gt; |.....................|     9.554 |     1.993 |   0.02480 |     1.155 |
+#&gt; |.....................|   0.03583 |    0.7361 |    0.9504 |     1.484 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.216 |     1.258 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     117.0 |     1.389 |    -1.721 |   -0.1200 |
+#&gt; |.....................|  0.004314 |    -5.763 |     2.093 |     3.426 |
+#&gt; |.....................|    -1.378 |     2.600 |     15.14 |    -1.236 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -4.018 |    -1.529 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   36</span>|     458.11528 |     1.003 |    -1.307 |   -0.9477 |   -0.9422 |
+#&gt; |.....................|   -0.9430 |    0.6906 |    -1.630 |   -0.8850 |
+#&gt; |.....................|   -0.1864 |    -1.043 |   -0.8947 |   -0.8359 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7822 |   -0.7759 |...........|...........|</span>
+#&gt; |    U|     458.11528 |     93.30 |    -5.607 |   -0.9742 |   -0.1578 |
+#&gt; |.....................|     2.202 |     2.135 |   0.01893 |     1.190 |
+#&gt; |.....................|   0.04058 |    0.6334 |    0.8579 |     1.253 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.162 |     1.172 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     458.11528</span> |     93.30 |  0.003671 |    0.2740 |    0.8540 |
+#&gt; |.....................|     9.046 |     2.135 |   0.01893 |     1.190 |
+#&gt; |.....................|   0.04058 |    0.6334 |    0.8579 |     1.253 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.162 |     1.172 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -4.502 |    0.8367 |   -0.1865 |   -0.1361 |
+#&gt; |.....................|   -0.6555 |    -2.945 |     1.425 |     8.523 |
+#&gt; |.....................|   -0.6882 |    -2.700 |     7.982 |    -9.961 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -6.514 |    -5.474 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   37</span>|     454.42202 |     1.008 |    -1.411 |   -0.9501 |   -0.9563 |
+#&gt; |.....................|   -0.9900 |    0.8215 |    -2.099 |    -1.032 |
+#&gt; |.....................|    0.1520 |    -1.049 |   -0.9274 |   -0.7533 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7158 |   -0.7241 |...........|...........|</span>
+#&gt; |    U|     454.42202 |     93.74 |    -5.711 |   -0.9765 |   -0.1719 |
+#&gt; |.....................|     2.155 |     2.214 |   0.01188 |     1.102 |
+#&gt; |.....................|   0.04565 |    0.6287 |    0.8293 |     1.353 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.233 |     1.228 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     454.42202</span> |     93.74 |  0.003311 |    0.2736 |    0.8421 |
+#&gt; |.....................|     8.631 |     2.214 |   0.01188 |     1.102 |
+#&gt; |.....................|   0.04565 |    0.6287 |    0.8293 |     1.353 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.233 |     1.228 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   38</span>|     451.48622 |     1.000 |    -1.659 |   -0.9551 |   -0.9914 |
+#&gt; |.....................|    -1.111 |     1.029 |    -2.892 |    -1.353 |
+#&gt; |.....................|    0.9897 |    -1.076 |   -0.9627 |   -0.6147 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.5957 |   -0.6379 |...........|...........|</span>
+#&gt; |    U|     451.48622 |     93.01 |    -5.959 |   -0.9812 |   -0.2070 |
+#&gt; |.....................|     2.035 |     2.338 | 5.960e-07 |    0.9088 |
+#&gt; |.....................|   0.05822 |    0.6083 |    0.7984 |     1.521 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.361 |     1.320 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     451.48622</span> |     93.01 |  0.002583 |    0.2727 |    0.8130 |
+#&gt; |.....................|     7.651 |     2.338 | 5.960e-07 |    0.9088 |
+#&gt; |.....................|   0.05822 |    0.6083 |    0.7984 |     1.521 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.361 |     1.320 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -68.34 |   0.03355 |   0.09905 |    -1.306 |
+#&gt; |.....................|    -5.058 |    -1.204 |  -0.09883 |    -1.076 |
+#&gt; |.....................|    -2.726 |    -4.145 |     7.646 |   -0.5743 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     2.003 |     2.613 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   39</span>|     453.25472 |     1.003 |    -2.027 |    -1.069 |   -0.8933 |
+#&gt; |.....................|   -0.6960 |     1.084 |    -2.892 |    -1.695 |
+#&gt; |.....................|     2.689 |   -0.4882 |    -1.206 |   -0.2814 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7545 |   -0.8496 |...........|...........|</span>
+#&gt; |    U|     453.25472 |     93.31 |    -6.327 |    -1.089 |   -0.1089 |
+#&gt; |.....................|     2.449 |     2.371 | 5.960e-07 |    0.7037 |
+#&gt; |.....................|   0.08370 |     1.055 |    0.5857 |     1.926 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.191 |     1.093 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     453.25472</span> |     93.31 |  0.001787 |    0.2519 |    0.8968 |
+#&gt; |.....................|     11.58 |     2.371 | 5.960e-07 |    0.7037 |
+#&gt; |.....................|   0.08370 |     1.055 |    0.5857 |     1.926 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.191 |     1.093 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   40</span>|     449.59369 |     1.000 |    -1.818 |    -1.010 |   -0.9508 |
+#&gt; |.....................|   -0.9364 |     1.052 |    -2.892 |    -1.498 |
+#&gt; |.....................|     1.730 |   -0.8175 |    -1.073 |   -0.4671 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6691 |   -0.7270 |...........|...........|</span>
+#&gt; |    U|     449.59369 |     93.04 |    -6.118 |    -1.033 |   -0.1664 |
+#&gt; |.....................|     2.209 |     2.352 | 5.960e-07 |    0.8216 |
+#&gt; |.....................|   0.06933 |    0.8048 |    0.7021 |     1.700 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.282 |     1.225 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     449.59369</span> |     93.04 |  0.002202 |    0.2625 |    0.8467 |
+#&gt; |.....................|     9.106 |     2.352 | 5.960e-07 |    0.8216 |
+#&gt; |.....................|   0.06933 |    0.8048 |    0.7021 |     1.700 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.282 |     1.225 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -128.1 |    0.1096 |    -3.510 |   -0.1773 |
+#&gt; |.....................|   -0.1823 |    -1.358 | -0.002263 |     1.313 |
+#&gt; |.....................|    -1.294 |     5.530 |     5.100 |     4.831 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.292 |    -3.851 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   41</span>|     472.13387 |     1.020 |    -1.985 |   -0.7592 |   -0.7822 |
+#&gt; |.....................|   -0.2976 |     1.062 |    -2.892 |    -1.866 |
+#&gt; |.....................|     3.141 |   -0.7519 |    -1.136 |   -0.6405 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7706 |   -0.2153 |...........|...........|</span>
+#&gt; |    U|     472.13387 |     94.83 |    -6.285 |   -0.7970 |  0.002176 |
+#&gt; |.....................|     2.848 |     2.358 | 5.960e-07 |    0.6009 |
+#&gt; |.....................|   0.09049 |    0.8547 |    0.6467 |     1.490 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.174 |     1.773 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     472.13387</span> |     94.83 |  0.001864 |    0.3107 |     1.002 |
+#&gt; |.....................|     17.25 |     2.358 | 5.960e-07 |    0.6009 |
+#&gt; |.....................|   0.09049 |    0.8547 |    0.6467 |     1.490 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.174 |     1.773 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   42</span>|     454.13083 |     1.030 |    -1.841 |   -0.9756 |   -0.9280 |
+#&gt; |.....................|   -0.8501 |     1.054 |    -2.892 |    -1.548 |
+#&gt; |.....................|     1.921 |   -0.8098 |    -1.082 |   -0.4916 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6825 |   -0.6571 |...........|...........|</span>
+#&gt; |    U|     454.13083 |     95.82 |    -6.141 |    -1.000 |   -0.1436 |
+#&gt; |.....................|     2.295 |     2.353 | 5.960e-07 |    0.7917 |
+#&gt; |.....................|   0.07219 |    0.8106 |    0.6936 |     1.671 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.268 |     1.299 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     454.13083</span> |     95.82 |  0.002153 |    0.2688 |    0.8663 |
+#&gt; |.....................|     9.927 |     2.353 | 5.960e-07 |    0.7917 |
+#&gt; |.....................|   0.07219 |    0.8106 |    0.6936 |     1.671 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.268 |     1.299 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   43</span>|     454.81886 |     1.032 |    -1.823 |    -1.002 |   -0.9459 |
+#&gt; |.....................|   -0.9179 |     1.053 |    -2.892 |    -1.509 |
+#&gt; |.....................|     1.771 |   -0.8169 |    -1.076 |   -0.4733 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6717 |   -0.7113 |...........|...........|</span>
+#&gt; |    U|     454.81886 |     95.94 |    -6.123 |    -1.025 |   -0.1614 |
+#&gt; |.....................|     2.227 |     2.352 | 5.960e-07 |    0.8150 |
+#&gt; |.....................|   0.06994 |    0.8052 |    0.6994 |     1.693 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.280 |     1.241 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     454.81886</span> |     95.94 |  0.002192 |    0.2640 |    0.8509 |
+#&gt; |.....................|     9.277 |     2.352 | 5.960e-07 |    0.8150 |
+#&gt; |.....................|   0.06994 |    0.8052 |    0.6994 |     1.693 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.280 |     1.241 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   44</span>|     449.57011 |     1.014 |    -1.818 |    -1.010 |   -0.9508 |
+#&gt; |.....................|   -0.9364 |     1.053 |    -2.892 |    -1.499 |
+#&gt; |.....................|     1.730 |   -0.8181 |    -1.073 |   -0.4676 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6690 |   -0.7267 |...........|...........|</span>
+#&gt; |    U|     449.57011 |     94.27 |    -6.118 |    -1.033 |   -0.1664 |
+#&gt; |.....................|     2.209 |     2.352 | 5.995e-07 |    0.8215 |
+#&gt; |.....................|   0.06933 |    0.8044 |    0.7016 |     1.700 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.283 |     1.225 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     449.57011</span> |     94.27 |  0.002202 |    0.2626 |    0.8467 |
+#&gt; |.....................|     9.106 |     2.352 | 5.995e-07 |    0.8215 |
+#&gt; |.....................|   0.06933 |    0.8044 |    0.7016 |     1.700 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.283 |     1.225 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     126.9 |    0.1582 |    -2.201 |   0.05331 |
+#&gt; |.....................|    0.4695 |   -0.6265 |   0.01503 |    0.4241 |
+#&gt; |.....................|    -1.337 |     5.854 |     6.688 |     4.536 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.410 |    -4.016 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   45</span>|     449.14922 |     1.007 |    -1.818 |    -1.010 |   -0.9508 |
+#&gt; |.....................|   -0.9364 |     1.053 |    -2.892 |    -1.499 |
+#&gt; |.....................|     1.730 |   -0.8183 |    -1.074 |   -0.4678 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6689 |   -0.7265 |...........|...........|</span>
+#&gt; |    U|     449.14922 |     93.66 |    -6.118 |    -1.033 |   -0.1664 |
+#&gt; |.....................|     2.209 |     2.352 | 5.960e-07 |    0.8215 |
+#&gt; |.....................|   0.06933 |    0.8042 |    0.7014 |     1.699 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.283 |     1.225 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     449.14922</span> |     93.66 |  0.002202 |    0.2626 |    0.8467 |
+#&gt; |.....................|     9.106 |     2.352 | 5.960e-07 |    0.8215 |
+#&gt; |.....................|   0.06933 |    0.8042 |    0.7014 |     1.699 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.283 |     1.225 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |   -0.4066 |    0.1367 |    -2.828 |  -0.06013 |
+#&gt; |.....................|    0.1445 |   -0.8286 |   0.01677 |    0.9213 |
+#&gt; |.....................|    -1.224 |     4.943 |     4.017 |     5.223 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.311 |    -3.922 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   46</span>|     449.08136 |     1.007 |    -1.818 |    -1.008 |   -0.9507 |
+#&gt; |.....................|   -0.9365 |     1.053 |    -2.892 |    -1.499 |
+#&gt; |.....................|     1.731 |   -0.8217 |    -1.076 |   -0.4714 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6680 |   -0.7238 |...........|...........|</span>
+#&gt; |    U|     449.08136 |     93.68 |    -6.118 |    -1.031 |   -0.1663 |
+#&gt; |.....................|     2.209 |     2.353 | 5.960e-07 |    0.8212 |
+#&gt; |.....................|   0.06934 |    0.8016 |    0.6990 |     1.695 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.284 |     1.228 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     449.08136</span> |     93.68 |  0.002202 |    0.2629 |    0.8468 |
+#&gt; |.....................|     9.105 |     2.353 | 5.960e-07 |    0.8212 |
+#&gt; |.....................|   0.06934 |    0.8016 |    0.6990 |     1.695 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.284 |     1.228 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   47</span>|     448.89872 |     1.008 |    -1.819 |    -1.002 |   -0.9506 |
+#&gt; |.....................|   -0.9368 |     1.055 |    -2.892 |    -1.501 |
+#&gt; |.....................|     1.734 |   -0.8317 |    -1.084 |   -0.4820 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6654 |   -0.7159 |...........|...........|</span>
+#&gt; |    U|     448.89872 |     93.76 |    -6.119 |    -1.025 |   -0.1662 |
+#&gt; |.....................|     2.209 |     2.354 | 5.960e-07 |    0.8200 |
+#&gt; |.....................|   0.06938 |    0.7940 |    0.6918 |     1.682 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.286 |     1.237 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     448.89872</span> |     93.76 |  0.002202 |    0.2640 |    0.8469 |
+#&gt; |.....................|     9.102 |     2.354 | 5.960e-07 |    0.8200 |
+#&gt; |.....................|   0.06938 |    0.7940 |    0.6918 |     1.682 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.286 |     1.237 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   48</span>|     448.46351 |     1.011 |    -1.820 |   -0.9792 |   -0.9501 |
+#&gt; |.....................|   -0.9380 |     1.062 |    -2.892 |    -1.509 |
+#&gt; |.....................|     1.744 |   -0.8718 |    -1.117 |   -0.5244 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6547 |   -0.6840 |...........|...........|</span>
+#&gt; |    U|     448.46351 |     94.07 |    -6.120 |    -1.004 |   -0.1657 |
+#&gt; |.....................|     2.207 |     2.358 | 5.960e-07 |    0.8155 |
+#&gt; |.....................|   0.06953 |    0.7635 |    0.6633 |     1.631 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.298 |     1.271 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     448.46351</span> |     94.07 |  0.002199 |    0.2682 |    0.8473 |
+#&gt; |.....................|     9.092 |     2.358 | 5.960e-07 |    0.8155 |
+#&gt; |.....................|   0.06953 |    0.7635 |    0.6633 |     1.631 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.298 |     1.271 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     75.37 |    0.2597 |   -0.1569 |   0.03608 |
+#&gt; |.....................|    0.3501 |   -0.3601 |  -0.01324 |    0.5025 |
+#&gt; |.....................|    -1.327 |     4.308 |    0.9122 |     2.456 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.5631 |    -1.887 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   49</span>|     448.12149 |     1.008 |    -1.833 |   -0.9950 |   -0.9378 |
+#&gt; |.....................|   -0.8937 |     1.062 |    -2.892 |    -1.543 |
+#&gt; |.....................|     1.827 |   -0.8899 |    -1.115 |   -0.5324 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6574 |   -0.6703 |...........|...........|</span>
+#&gt; |    U|     448.12149 |     93.73 |    -6.133 |    -1.019 |   -0.1534 |
+#&gt; |.....................|     2.252 |     2.358 | 5.960e-07 |    0.7948 |
+#&gt; |.....................|   0.07077 |    0.7498 |    0.6653 |     1.621 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.295 |     1.285 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     448.12149</span> |     93.73 |  0.002169 |    0.2653 |    0.8578 |
+#&gt; |.....................|     9.504 |     2.358 | 5.960e-07 |    0.7948 |
+#&gt; |.....................|   0.07077 |    0.7498 |    0.6653 |     1.621 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.295 |     1.285 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     13.78 |    0.2222 |    -1.381 |    0.2569 |
+#&gt; |.....................|     1.259 |   -0.5740 |  -0.02850 |    0.1620 |
+#&gt; |.....................|    -1.241 |     3.503 |    0.9893 |     2.205 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.7124 |    -1.054 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   50</span>|     447.94443 |     1.007 |    -1.844 |   -0.9902 |   -0.9390 |
+#&gt; |.....................|   -0.9059 |     1.062 |    -2.881 |    -1.561 |
+#&gt; |.....................|     1.911 |   -0.9357 |    -1.119 |   -0.5167 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6474 |   -0.7008 |...........|...........|</span>
+#&gt; |    U|     447.94443 |     93.62 |    -6.144 |    -1.014 |   -0.1546 |
+#&gt; |.....................|     2.239 |     2.358 | 0.0001615 |    0.7838 |
+#&gt; |.....................|   0.07204 |    0.7150 |    0.6617 |     1.640 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.306 |     1.253 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     447.94443</span> |     93.62 |  0.002146 |    0.2662 |    0.8567 |
+#&gt; |.....................|     9.388 |     2.358 | 0.0001615 |    0.7838 |
+#&gt; |.....................|   0.07204 |    0.7150 |    0.6617 |     1.640 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.306 |     1.253 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -5.879 |    0.2071 |    -1.215 |    0.2527 |
+#&gt; |.....................|    0.8228 |   -0.5096 |  -0.06036 |    0.4983 |
+#&gt; |.....................|    -1.183 |     1.766 |     2.266 |     2.617 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3179 |    -2.389 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   51</span>|     447.77390 |     1.007 |    -1.858 |    -1.003 |   -0.9470 |
+#&gt; |.....................|   -0.9285 |     1.056 |    -2.855 |    -1.583 |
+#&gt; |.....................|     2.006 |   -0.9406 |    -1.128 |   -0.5198 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6539 |   -0.6964 |...........|...........|</span>
+#&gt; |    U|      447.7739 |     93.69 |    -6.158 |    -1.026 |   -0.1626 |
+#&gt; |.....................|     2.217 |     2.354 | 0.0005494 |    0.7710 |
+#&gt; |.....................|   0.07347 |    0.7113 |    0.6533 |     1.636 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.299 |     1.257 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      447.7739</span> |     93.69 |  0.002117 |    0.2639 |    0.8500 |
+#&gt; |.....................|     9.179 |     2.354 | 0.0005494 |    0.7710 |
+#&gt; |.....................|   0.07347 |    0.7113 |    0.6533 |     1.636 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.299 |     1.257 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   52</span>|     447.56301 |     1.006 |    -1.897 |    -1.041 |   -0.9708 |
+#&gt; |.....................|   -0.9958 |     1.039 |    -2.777 |    -1.647 |
+#&gt; |.....................|     2.291 |   -0.9540 |    -1.156 |   -0.5273 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6737 |   -0.6848 |...........|...........|</span>
+#&gt; |    U|     447.56301 |     93.51 |    -6.197 |    -1.061 |   -0.1864 |
+#&gt; |.....................|     2.150 |     2.344 |  0.001717 |    0.7326 |
+#&gt; |.....................|   0.07774 |    0.7011 |    0.6293 |     1.627 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.278 |     1.270 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     447.56301</span> |     93.51 |  0.002035 |    0.2570 |    0.8300 |
+#&gt; |.....................|     8.581 |     2.344 |  0.001717 |    0.7326 |
+#&gt; |.....................|   0.07774 |    0.7011 |    0.6293 |     1.627 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.278 |     1.270 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -30.60 |    0.2182 |    -4.075 |   -0.4855 |
+#&gt; |.....................|    -1.237 |   -0.6626 |   -0.1062 |    0.6612 |
+#&gt; |.....................|   -0.6049 |     1.074 |     1.318 |     2.279 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -1.614 |    -1.745 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   53</span>|     447.16930 |     1.007 |    -1.971 |   -0.9627 |   -0.9652 |
+#&gt; |.....................|   -0.9709 |     1.044 |    -2.781 |    -1.732 |
+#&gt; |.....................|     2.691 |   -0.9472 |    -1.156 |   -0.5162 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6828 |   -0.6632 |...........|...........|</span>
+#&gt; |    U|      447.1693 |     93.67 |    -6.271 |   -0.9883 |   -0.1807 |
+#&gt; |.....................|     2.174 |     2.347 |  0.001652 |    0.6812 |
+#&gt; |.....................|   0.08374 |    0.7063 |    0.6288 |     1.641 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.268 |     1.293 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>      447.1693</span> |     93.67 |  0.001890 |    0.2713 |    0.8346 |
+#&gt; |.....................|     8.798 |     2.347 |  0.001652 |    0.6812 |
+#&gt; |.....................|   0.08374 |    0.7063 |    0.6288 |     1.641 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.268 |     1.293 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -3.693 |    0.1048 |    0.8560 |   -0.3278 |
+#&gt; |.....................|   -0.6115 |   -0.5188 |  -0.09596 |    0.9789 |
+#&gt; |.....................|   0.02585 |     1.094 |     1.548 |     2.318 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -2.079 |   -0.9259 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   54</span>|     447.68852 |     1.013 |    -2.042 |    -1.008 |   -0.9421 |
+#&gt; |.....................|   -0.9288 |     1.034 |    -2.709 |    -1.852 |
+#&gt; |.....................|     3.037 |   -0.9368 |    -1.153 |   -0.6162 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.5399 |   -0.6984 |...........|...........|</span>
+#&gt; |    U|     447.68852 |     94.21 |    -6.342 |    -1.031 |   -0.1577 |
+#&gt; |.....................|     2.217 |     2.341 |  0.002735 |    0.6094 |
+#&gt; |.....................|   0.08893 |    0.7142 |    0.6313 |     1.519 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.420 |     1.255 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     447.68852</span> |     94.21 |  0.001761 |    0.2629 |    0.8541 |
+#&gt; |.....................|     9.176 |     2.341 |  0.002735 |    0.6094 |
+#&gt; |.....................|   0.08893 |    0.7142 |    0.6313 |     1.519 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.420 |     1.255 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   55</span>|     447.15405 |     1.011 |    -1.991 |   -0.9760 |   -0.9584 |
+#&gt; |.....................|   -0.9586 |     1.042 |    -2.761 |    -1.767 |
+#&gt; |.....................|     2.789 |   -0.9450 |    -1.157 |   -0.5460 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6410 |   -0.6726 |...........|...........|</span>
+#&gt; |    U|     447.15405 |     94.04 |    -6.291 |    -1.001 |   -0.1740 |
+#&gt; |.....................|     2.187 |     2.346 |  0.001959 |    0.6605 |
+#&gt; |.....................|   0.08521 |    0.7080 |    0.6287 |     1.605 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.312 |     1.283 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     447.15405</span> |     94.04 |  0.001852 |    0.2688 |    0.8403 |
+#&gt; |.....................|     8.906 |     2.346 |  0.001959 |    0.6605 |
+#&gt; |.....................|   0.08521 |    0.7080 |    0.6287 |     1.605 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.312 |     1.283 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     53.59 |   0.07914 |    0.2662 |   -0.1234 |
+#&gt; |.....................|   -0.1097 |   -0.6518 |  -0.06086 |    0.6193 |
+#&gt; |.....................|  -0.05679 |     1.445 |    0.6511 |     1.197 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.1794 |    -1.326 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   56</span>|     447.09915 |     1.005 |    -2.002 |   -0.9768 |   -0.9545 |
+#&gt; |.....................|   -0.9567 |     1.042 |    -2.752 |    -1.789 |
+#&gt; |.....................|     2.838 |   -0.9392 |    -1.155 |   -0.5617 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6261 |   -0.6787 |...........|...........|</span>
+#&gt; |    U|     447.09915 |     93.47 |    -6.302 |    -1.002 |   -0.1701 |
+#&gt; |.....................|     2.189 |     2.346 |  0.002096 |    0.6471 |
+#&gt; |.....................|   0.08594 |    0.7123 |    0.6298 |     1.586 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.328 |     1.276 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     447.09915</span> |     93.47 |  0.001833 |    0.2686 |    0.8436 |
+#&gt; |.....................|     8.923 |     2.346 |  0.002096 |    0.6471 |
+#&gt; |.....................|   0.08594 |    0.7123 |    0.6298 |     1.586 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.328 |     1.276 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -33.97 |   0.05091 |   -0.1219 |  -0.09607 |
+#&gt; |.....................|   -0.3249 |   -0.8735 |   -0.1278 |    0.5888 |
+#&gt; |.....................|   0.06635 |     1.636 |    -1.923 |    0.5172 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    0.5270 |    -1.419 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   57</span>|     447.01951 |     1.007 |    -2.009 |   -0.9874 |   -0.9450 |
+#&gt; |.....................|   -0.9329 |     1.053 |    -2.780 |    -1.808 |
+#&gt; |.....................|     2.841 |   -0.9693 |    -1.155 |   -0.5556 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6514 |   -0.6721 |...........|...........|</span>
+#&gt; |    U|     447.01951 |     93.64 |    -6.309 |    -1.012 |   -0.1606 |
+#&gt; |.....................|     2.212 |     2.352 |  0.001680 |    0.6361 |
+#&gt; |.....................|   0.08598 |    0.6895 |    0.6300 |     1.593 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.301 |     1.283 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     447.01951</span> |     93.64 |  0.001820 |    0.2667 |    0.8517 |
+#&gt; |.....................|     9.138 |     2.352 |  0.001680 |    0.6361 |
+#&gt; |.....................|   0.08598 |    0.6895 |    0.6300 |     1.593 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.301 |     1.283 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -6.500 |   0.04518 |   -0.6412 |    0.1616 |
+#&gt; |.....................|    0.3106 |   -0.6054 |  -0.07873 |   -0.1077 |
+#&gt; |.....................|   -0.1002 |    0.2460 |     1.553 |    0.4490 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8245 |    -1.132 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   58</span>|     447.04861 |     1.009 |    -2.019 |   -0.9927 |   -0.9476 |
+#&gt; |.....................|   -0.9252 |     1.054 |    -2.796 |    -1.779 |
+#&gt; |.....................|     2.878 |   -0.9737 |    -1.157 |   -0.5487 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6291 |   -0.6521 |...........|...........|</span>
+#&gt; |    U|     447.04861 |     93.85 |    -6.319 |    -1.017 |   -0.1632 |
+#&gt; |.....................|     2.220 |     2.353 |  0.001429 |    0.6532 |
+#&gt; |.....................|   0.08654 |    0.6862 |    0.6280 |     1.601 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.325 |     1.305 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     447.04861</span> |     93.85 |  0.001802 |    0.2657 |    0.8494 |
+#&gt; |.....................|     9.209 |     2.353 |  0.001429 |    0.6532 |
+#&gt; |.....................|   0.08654 |    0.6862 |    0.6280 |     1.601 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.325 |     1.305 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   59</span>|     447.01937 |     1.009 |    -2.012 |   -0.9891 |   -0.9459 |
+#&gt; |.....................|   -0.9304 |     1.053 |    -2.785 |    -1.798 |
+#&gt; |.....................|     2.853 |   -0.9708 |    -1.156 |   -0.5534 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6439 |   -0.6653 |...........|...........|</span>
+#&gt; |    U|     447.01937 |     93.80 |    -6.312 |    -1.013 |   -0.1615 |
+#&gt; |.....................|     2.215 |     2.353 |  0.001597 |    0.6418 |
+#&gt; |.....................|   0.08617 |    0.6884 |    0.6292 |     1.596 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.309 |     1.291 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     447.01937</span> |     93.80 |  0.001814 |    0.2664 |    0.8509 |
+#&gt; |.....................|     9.161 |     2.353 |  0.001597 |    0.6418 |
+#&gt; |.....................|   0.08617 |    0.6884 |    0.6292 |     1.596 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.309 |     1.291 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     15.62 |   0.04451 |   -0.6370 |    0.1658 |
+#&gt; |.....................|    0.4720 |   -0.4967 |  -0.06076 |    0.2478 |
+#&gt; |.....................|   0.07878 |    0.2929 |    0.7908 |    0.7364 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.2169 |   -0.8458 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   60</span>|     447.00331 |     1.007 |    -2.016 |   -0.9874 |   -0.9487 |
+#&gt; |.....................|   -0.9321 |     1.057 |    -2.790 |    -1.800 |
+#&gt; |.....................|     2.856 |   -0.9696 |    -1.156 |   -0.5575 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6423 |   -0.6633 |...........|...........|</span>
+#&gt; |    U|     447.00331 |     93.68 |    -6.316 |    -1.012 |   -0.1643 |
+#&gt; |.....................|     2.213 |     2.355 |  0.001526 |    0.6406 |
+#&gt; |.....................|   0.08622 |    0.6893 |    0.6295 |     1.591 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.311 |     1.293 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     447.00331</span> |     93.68 |  0.001807 |    0.2667 |    0.8485 |
+#&gt; |.....................|     9.146 |     2.355 |  0.001526 |    0.6406 |
+#&gt; |.....................|   0.08622 |    0.6893 |    0.6295 |     1.591 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.311 |     1.293 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -1.749 |   0.03581 |   -0.6032 |   0.06997 |
+#&gt; |.....................|    0.3775 |   -0.4012 |  -0.08782 |    0.2553 |
+#&gt; |.....................|  0.001918 |    0.1783 |     1.513 |    0.3567 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3333 |   -0.7379 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   61</span>|     446.99944 |     1.008 |    -2.018 |   -0.9851 |   -0.9476 |
+#&gt; |.....................|   -0.9359 |     1.058 |    -2.787 |    -1.806 |
+#&gt; |.....................|     2.859 |   -0.9671 |    -1.156 |   -0.5614 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6427 |   -0.6650 |...........|...........|</span>
+#&gt; |    U|     446.99944 |     93.70 |    -6.318 |    -1.009 |   -0.1632 |
+#&gt; |.....................|     2.209 |     2.355 |  0.001564 |    0.6369 |
+#&gt; |.....................|   0.08626 |    0.6911 |    0.6291 |     1.586 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.311 |     1.291 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     446.99944</span> |     93.70 |  0.001804 |    0.2671 |    0.8494 |
+#&gt; |.....................|     9.111 |     2.355 |  0.001564 |    0.6369 |
+#&gt; |.....................|   0.08626 |    0.6911 |    0.6291 |     1.586 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.311 |     1.291 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |     2.474 |   0.03546 |   -0.4554 |    0.1057 |
+#&gt; |.....................|    0.2777 |   -0.4692 |  -0.06549 |   0.06429 |
+#&gt; |.....................|  -0.09650 |    0.2331 |    0.6150 |    0.1626 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3753 |   -0.8072 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   62</span>|     446.99641 |     1.007 |    -2.020 |   -0.9846 |   -0.9460 |
+#&gt; |.....................|   -0.9366 |     1.059 |    -2.790 |    -1.808 |
+#&gt; |.....................|     2.868 |   -0.9676 |    -1.156 |   -0.5621 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6420 |   -0.6633 |...........|...........|</span>
+#&gt; |    U|     446.99641 |     93.67 |    -6.320 |    -1.009 |   -0.1616 |
+#&gt; |.....................|     2.209 |     2.356 |  0.001530 |    0.6356 |
+#&gt; |.....................|   0.08639 |    0.6908 |    0.6287 |     1.585 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.311 |     1.293 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     446.99641</span> |     93.67 |  0.001800 |    0.2672 |    0.8508 |
+#&gt; |.....................|     9.105 |     2.356 |  0.001530 |    0.6356 |
+#&gt; |.....................|   0.08639 |    0.6908 |    0.6287 |     1.585 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.311 |     1.293 |...........|...........|</span>
+#&gt; |    F| Forward Diff. |    -2.070 |   0.03317 |   -0.4443 |    0.1488 |
+#&gt; |.....................|    0.2478 |   -0.4968 |  -0.07674 |   0.09423 |
+#&gt; |.....................|  -0.05318 |    0.2365 |    0.6058 |    0.5619 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.3013 |   -0.7224 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   63</span>|     446.99641 |     1.007 |    -2.020 |   -0.9846 |   -0.9460 |
+#&gt; |.....................|   -0.9366 |     1.059 |    -2.790 |    -1.808 |
+#&gt; |.....................|     2.868 |   -0.9676 |    -1.156 |   -0.5621 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6420 |   -0.6633 |...........|...........|</span>
+#&gt; |    U|     446.99641 |     93.67 |    -6.320 |    -1.009 |   -0.1616 |
+#&gt; |.....................|     2.209 |     2.356 |  0.001530 |    0.6356 |
+#&gt; |.....................|   0.08639 |    0.6908 |    0.6287 |     1.585 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.311 |     1.293 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     446.99641</span> |     93.67 |  0.001800 |    0.2672 |    0.8508 |
+#&gt; |.....................|     9.105 |     2.356 |  0.001530 |    0.6356 |
+#&gt; |.....................|   0.08639 |    0.6908 |    0.6287 |     1.585 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.311 |     1.293 |...........|...........|</span>
+#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'><span class='va'>f_nlmixr_dfop_sfo_saem_obs_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_tc</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"saem"</span>,
+  error_model <span class='op'>=</span> <span class='st'>"obs_tc"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; 1:    90.7519   -4.8586   -1.7674   -3.5599   -2.0059    0.5800    4.8899    1.4250    1.1400    2.6923    0.4845    0.4370   10.2815    0.0004    9.0437    0.4047
+#&gt; 2:    9.0763e+01  -5.2004e+00  -1.9605e+00  -4.2009e+00  -1.8767e+00   2.0341e-01   4.6454e+00   1.3537e+00   1.0830e+00   2.7771e+00   4.6027e-01   5.1181e-01   6.3469e+00   4.0033e-04   6.8216e+00   9.0448e-05
+#&gt; 3:    9.0656e+01  -5.4820e+00  -2.0937e+00  -4.0962e+00  -1.5381e+00  -1.7136e-02   4.4131e+00   1.2861e+00   1.0288e+00   3.5620e+00   4.3726e-01   6.1217e-01   4.8763e+00   4.1436e-05   5.4967e+00   1.0148e-05
+#&gt; 4:    9.0543e+01  -5.7744e+00  -2.1074e+00  -4.0393e+00  -1.3603e+00  -2.3531e-01   5.0162e+00   1.2218e+00   1.0041e+00   3.3839e+00   4.1540e-01   5.8157e-01   4.1029e+00   2.1466e-04   4.2869e+00   1.9419e-06
+#&gt; 5:    91.1621   -6.0534   -2.0430   -4.0508   -1.2523   -0.2043    6.1015    1.1715    1.1998    3.2147    0.3946    0.5525    3.5979    0.0187    3.8221    0.0271
+#&gt; 6:    91.1179   -5.9892   -2.0082   -4.1363   -1.1428   -0.1930    5.7964    1.1960    1.2360    3.4525    0.3749    0.5293    3.3091    0.0209    3.6230    0.0284
+#&gt; 7:    91.6680   -5.9609   -2.0492   -4.1163   -1.0919   -0.1505    5.6134    1.6750    1.3055    3.2799    0.3631    0.5028    3.2412    0.0254    3.5108    0.0371
+#&gt; 8:    91.6903   -5.9346   -2.0630   -4.0790   -1.1130   -0.0963    5.3327    2.2525    1.3524    3.1159    0.3449    0.4777    2.6165    0.0445    2.8556    0.0576
+#&gt; 9:    92.2564   -5.7600   -2.0460   -4.1144   -1.0635   -0.0594    5.9616    2.1399    1.2848    2.9601    0.3277    0.4538    2.3593    0.0295    2.5704    0.0491
+#&gt; 10:    92.2425   -5.7990   -2.0052   -4.0409   -1.0387   -0.1141    6.9547    2.1239    1.2205    2.8121    0.3113    0.4311    2.3237    0.0323    2.4227    0.0421
+#&gt; 11:    92.4404   -5.6829   -2.0866   -4.0010   -1.0214   -0.0587    6.6790    2.0177    1.1595    2.6715    0.2957    0.4096    1.9963    0.0407    2.2478    0.0501
+#&gt; 12:    92.0713   -5.8051   -2.1699   -4.0539   -0.9807    0.0174    6.7885    2.1380    1.1811    2.6017    0.2810    0.3891    1.8480    0.0502    2.0516    0.0522
+#&gt; 13:    91.7214   -5.6954   -2.1579   -4.0944   -0.9935   -0.0195    6.4491    2.0311    1.1221    2.4716    0.2669    0.3696    1.8299    0.0531    1.9271    0.0520
+#&gt; 14:    91.1978   -5.6733   -2.1988   -4.0794   -0.9387    0.0091    6.1267    1.9295    1.1589    2.3480    0.2536    0.3511    1.6357    0.0470    1.8899    0.0639
+#&gt; 15:    91.3746   -5.5864   -2.1484   -4.1356   -0.9126    0.0045    5.8203    1.8330    1.2078    2.3265    0.2409    0.3336    1.6218    0.0428    1.6558    0.0725
+#&gt; 16:    91.5646   -5.4931   -2.1474   -4.1242   -0.9148    0.0179    5.5293    1.7414    1.1474    2.2733    0.2288    0.3169    1.6467    0.0377    1.6977    0.0600
+#&gt; 17:    91.4767   -5.5885   -2.1424   -4.1386   -0.9308    0.0602    5.2528    1.9428    1.2141    2.1762    0.2174    0.3343    1.4916    0.0424    1.4326    0.0717
+#&gt; 18:    90.9989   -5.6364   -2.1601   -4.1606   -0.9676    0.0694    4.9902    1.8457    1.2521    2.2899    0.2065    0.3279    1.4504    0.0471    1.4267    0.0700
+#&gt; 19:    91.4050   -5.7347   -2.0985   -4.1476   -0.9656    0.0668    4.7407    2.3263    1.4064    2.2061    0.1962    0.3296    1.3679    0.0485    1.2735    0.0844
+#&gt; 20:    91.2707   -5.7623   -2.1155   -4.1538   -0.9601    0.0425    4.5037    2.6509    1.3408    2.1958    0.1864    0.3576    1.3736    0.0452    1.3454    0.0743
+#&gt; 21:    91.6878   -5.8143   -2.1261   -4.1649   -0.9325    0.0333    4.7695    2.8996    1.3244    2.1300    0.1771    0.3509    1.4793    0.0508    1.0333    0.0839
+#&gt; 22:    91.5363   -5.9047   -2.1358   -4.1655   -0.9207    0.0339    4.5310    3.4408    1.3022    2.1829    0.1682    0.3378    1.4260    0.0488    0.9436    0.0877
+#&gt; 23:    91.9969   -5.9565   -2.1378   -4.1609   -0.9243    0.0701    4.3045    3.7239    1.3446    2.2424    0.1598    0.3209    1.4182    0.0412    0.9205    0.0873
+#&gt; 24:    92.2835   -5.9272   -2.0883   -4.1651   -0.9248    0.0834    4.0892    3.7780    1.2773    2.2187    0.1518    0.3049    1.4749    0.0427    0.9837    0.0802
+#&gt; 25:    92.3389   -6.1292   -2.1033   -4.2473   -0.9069    0.0593    3.8848    4.7059    1.2740    2.4323    0.1442    0.2896    1.3656    0.0493    0.9299    0.0798
+#&gt; 26:    91.9840   -5.9821   -2.1124   -4.2150   -0.9100    0.1076    3.6905    4.4706    1.2103    2.4699    0.1458    0.2751    1.3200    0.0504    0.8256    0.0912
+#&gt; 27:    92.4671   -5.8765   -2.0910   -4.2169   -0.9356    0.0483    3.5060    4.2471    1.2302    2.4791    0.1385    0.2614    1.4252    0.0520    0.8191    0.0836
+#&gt; 28:    92.4130   -5.9480   -2.0870   -4.2191   -0.9338    0.0866    3.3859    4.1337    1.2210    2.4685    0.1412    0.2557    1.3860    0.0484    0.9189    0.0770
+#&gt; 29:    92.3064   -5.7845   -2.0759   -4.2321   -0.9270    0.0855    4.2691    3.9271    1.3369    2.5457    0.1341    0.2922    1.3848    0.0513    0.9658    0.0785
+#&gt; 30:    92.2109   -5.9347   -2.0725   -4.2042   -0.9074    0.0481    5.5659    3.9234    1.2701    2.4184    0.1370    0.2776    1.2925    0.0560    0.9058    0.0806
+#&gt; 31:    91.8912   -5.7466   -2.0912   -4.1504   -0.9087    0.0443    5.2876    3.7272    1.2690    2.2975    0.1301    0.2637    1.3348    0.0517    0.8672    0.0840
+#&gt; 32:    92.3866   -5.8560   -2.0979   -4.1547   -0.9044    0.0335    5.0232    3.5408    1.2761    2.3185    0.1307    0.2505    1.3558    0.0487    0.9422    0.0791
+#&gt; 33:    92.4555   -5.6989   -2.0956   -4.1479   -0.9038    0.0447    4.7720    3.3638    1.3253    2.2962    0.1242    0.2380    1.4321    0.0432    0.8961    0.0799
+#&gt; 34:    92.6307   -5.8831   -2.0769   -4.1319   -0.8946    0.0430    4.5334    3.7151    1.2785    2.2638    0.1201    0.2261    1.4076    0.0457    0.8269    0.0813
+#&gt; 35:    92.5659   -5.9100   -2.0748   -4.1482   -0.9079    0.0563    4.6634    3.7452    1.3141    2.3378    0.1168    0.2148    1.3571    0.0451    0.8317    0.0831
+#&gt; 36:    92.5738   -5.8574   -2.0981   -4.1214   -0.8963    0.0302    5.3272    3.7371    1.3359    2.2776    0.1331    0.2041    1.3308    0.0480    0.8953    0.0791
+#&gt; 37:    92.1615   -5.7137   -2.0922   -4.1178   -0.9035    0.0455    5.4894    3.5503    1.2691    2.2508    0.1473    0.1939    1.3692    0.0495    0.9358    0.0800
+#&gt; 38:    92.4421   -5.6978   -2.0905   -4.1275   -0.9052    0.0108    5.4295    3.3728    1.2057    2.2119    0.1432    0.1842    1.3421    0.0549    0.8932    0.0781
+#&gt; 39:    92.3995   -5.6121   -2.0804   -4.1275   -0.8903    0.0270    5.1580    3.2041    1.1454    2.2119    0.1360    0.1978    1.3353    0.0524    0.9062    0.0775
+#&gt; 40:    92.5616   -5.7907   -2.1099   -4.1127   -0.9074    0.0501    4.9001    3.0439    1.1582    2.1723    0.1387    0.1879    1.2981    0.0510    0.9517    0.0797
+#&gt; 41:    92.2655   -5.6532   -2.0631   -4.1437   -0.9128    0.0346    4.6551    2.8917    1.1202    2.1498    0.1403    0.1785    1.4500    0.0461    0.7394    0.0903
+#&gt; 42:    92.3218   -5.4916   -2.1072   -4.1312   -0.9310    0.0360    4.4224    2.7471    1.1648    2.1428    0.1332    0.1695    1.4034    0.0508    0.8131    0.0854
+#&gt; 43:    92.6165   -5.5145   -2.0838   -4.1239   -0.9215    0.0347    4.2012    2.6098    1.1892    2.1202    0.1463    0.1611    1.3416    0.0507    0.8213    0.0847
+#&gt; 44:    92.5385   -5.5590   -2.0872   -4.1376   -0.9210    0.0672    3.9912    2.4793    1.1416    2.2253    0.1450    0.1530    1.4008    0.0352    0.8639    0.0847
+#&gt; 45:    92.2152   -5.6170   -2.1014   -4.1657   -0.9331    0.0781    3.7916    2.4382    1.1250    2.2378    0.1516    0.1556    1.4612    0.0329    1.0091    0.0820
+#&gt; 46:    91.8943   -5.6650   -2.1329   -4.1649   -0.9241    0.1060    3.6020    2.6448    1.0705    2.3112    0.1441    0.1549    1.5047    0.0384    1.0179    0.0805
+#&gt; 47:    91.8153   -5.5910   -2.1514   -4.1919   -0.9169    0.0885    3.4219    2.5125    1.0386    2.3140    0.1506    0.1620    1.4759    0.0375    1.1021    0.0740
+#&gt; 48:    91.6295   -5.5438   -2.1516   -4.1570   -0.8742    0.0851    3.2508    2.3869    1.0816    2.1983    0.1630    0.1786    1.4024    0.0405    1.1135    0.0732
+#&gt; 49:    91.4363   -5.5847   -2.1732   -4.1794   -0.8634    0.0948    3.0883    2.4829    1.0865    2.2378    0.1549    0.1697    1.4314    0.0434    1.0529    0.0742
+#&gt; 50:    91.3634   -5.5794   -2.1613   -4.1507   -0.8849    0.0862    2.9339    2.6404    1.0829    2.2519    0.1493    0.1612    1.3704    0.0446    1.0081    0.0736
+#&gt; 51:    91.2150   -5.5503   -2.1675   -4.1432   -0.8749    0.1178    2.7872    2.7368    1.0605    2.2261    0.1418    0.1532    1.4312    0.0418    1.0380    0.0781
+#&gt; 52:    91.4343   -5.6336   -2.2138   -4.1552   -0.8867    0.1391    2.6677    2.7022    1.0857    2.2588    0.1493    0.1455    1.3220    0.0469    0.9272    0.0761
+#&gt; 53:    91.3310   -5.5185   -2.2340   -4.1430   -0.8855    0.1545    2.9130    2.5670    1.0720    2.3074    0.1532    0.1385    1.3224    0.0503    0.9688    0.0723
+#&gt; 54:    91.4342   -5.5008   -2.2086   -4.1777   -0.8720    0.1688    2.8202    2.4387    1.0624    2.4253    0.1631    0.1315    1.3186    0.0429    0.9425    0.0723
+#&gt; 55:    91.4983   -5.5944   -2.1709   -4.1211   -0.8638    0.1168    3.4789    2.5154    1.0549    2.3041    0.1557    0.1279    1.3800    0.0423    0.9620    0.0727
+#&gt; 56:    91.5954   -5.5317   -2.1881   -4.1263   -0.8627    0.1366    4.1396    2.3896    1.0732    2.2684    0.1562    0.1221    1.3285    0.0431    1.0156    0.0708
+#&gt; 57:    91.6591   -5.3839   -2.2082   -4.1122   -0.8929    0.1457    4.5073    2.2701    1.0672    2.3639    0.1539    0.1160    1.4074    0.0478    0.9796    0.0722
+#&gt; 58:    91.7434   -5.3597   -2.2068   -4.1214   -0.8912    0.1437    4.2819    2.1566    1.0605    2.4496    0.1667    0.1109    1.4274    0.0450    1.0782    0.0676
+#&gt; 59:    91.6597   -5.4672   -2.1918   -4.1412   -0.9021    0.1657    4.0678    2.0488    1.1306    2.5245    0.1888    0.1054    1.4745    0.0391    1.1492    0.0670
+#&gt; 60:    91.7565   -5.4513   -2.2051   -4.1618   -0.9013    0.1554    3.8644    1.9464    1.1728    2.6191    0.1793    0.1001    1.4135    0.0402    1.1572    0.0665
+#&gt; 61:    91.9484   -5.5390   -2.1973   -4.1611   -0.9011    0.1318    3.6712    1.8963    1.1460    2.6242    0.1704    0.0951    1.3855    0.0481    1.1109    0.0634
+#&gt; 62:    92.1661   -5.4985   -2.1729   -4.1352   -0.8887    0.1327    4.3155    1.8588    1.1087    2.5551    0.1633    0.0995    1.3847    0.0444    1.0736    0.0656
+#&gt; 63:    92.1727   -5.4086   -2.1610   -4.1488   -0.8998    0.1451    4.6019    1.7659    1.1413    2.6020    0.1718    0.1152    1.4299    0.0404    1.2202    0.0603
+#&gt; 64:    92.4331   -5.5220   -2.1121   -4.1300   -0.9428    0.1211    5.0354    1.8121    1.0982    2.6157    0.1775    0.1209    1.4168    0.0348    1.2148    0.0625
+#&gt; 65:    92.1871   -5.6089   -2.1258   -4.1412   -0.9127    0.1399    4.7836    2.1060    1.1568    2.5971    0.1757    0.1148    1.4000    0.0336    1.0305    0.0707
+#&gt; 66:    92.1419   -5.7752   -2.1344   -4.1493   -0.9237    0.1494    4.5444    2.7076    1.1563    2.6439    0.1740    0.1091    1.4238    0.0341    1.0285    0.0688
+#&gt; 67:    92.1187   -5.5967   -2.1430   -4.1460   -0.9074    0.1245    4.3172    2.5722    1.2052    2.6139    0.1868    0.1104    1.4100    0.0381    1.0508    0.0703
+#&gt; 68:    92.1123   -5.6882   -2.1481   -4.1269   -0.9083    0.1206    4.1014    2.5548    1.2021    2.4832    0.1781    0.1462    1.3099    0.0417    1.0099    0.0713
+#&gt; 69:    92.2511   -5.6923   -2.1456   -4.1315   -0.9077    0.1421    4.3551    2.6261    1.1850    2.3591    0.1692    0.1389    1.3546    0.0416    0.9516    0.0762
+#&gt; 70:    92.0291   -5.7376   -2.1689   -4.1364   -0.8908    0.1407    4.1373    3.0520    1.1595    2.2495    0.1608    0.1465    1.3226    0.0436    0.9904    0.0711
+#&gt; 71:    91.7690   -5.7223   -2.1773   -4.1986   -0.9036    0.1831    3.9304    2.8994    1.1015    2.4335    0.1527    0.1602    1.3135    0.0450    0.9564    0.0722
+#&gt; 72:    91.4802   -5.7302   -2.2079   -4.2000   -0.8990    0.2112    3.7339    3.2965    1.1222    2.4612    0.1451    0.1622    1.3222    0.0426    1.0215    0.0717
+#&gt; 73:    91.1247   -5.7803   -2.1827   -4.2214   -0.8876    0.1385    3.5472    3.2786    1.1612    2.5216    0.1650    0.1541    1.2811    0.0493    1.0076    0.0696
+#&gt; 74:    90.9765   -5.6534   -2.1808   -4.2511   -0.8824    0.1308    3.8553    3.1146    1.1389    2.8140    0.1725    0.1464    1.2895    0.0518    1.0100    0.0707
+#&gt; 75:    90.4805   -5.7293   -2.1481   -4.2613   -0.8704    0.1395    4.1255    2.9589    1.1623    2.7523    0.1713    0.1391    1.3112    0.0483    0.9439    0.0788
+#&gt; 76:    90.3958   -5.7635   -2.1508   -4.2426   -0.8841    0.1402    4.7427    3.0223    1.2187    2.7243    0.1789    0.1321    1.3065    0.0468    0.9303    0.0758
+#&gt; 77:    90.7518   -5.6517   -2.1498   -4.2773   -0.8730    0.1688    5.9340    2.8712    1.1840    2.8530    0.1828    0.1255    1.3553    0.0422    0.9755    0.0696
+#&gt; 78:    91.0443   -5.7462   -2.1351   -4.2601   -0.8848    0.1746    5.6373    2.9912    1.1312    2.7659    0.1887    0.1192    1.3303    0.0410    0.8578    0.0744
+#&gt; 79:    90.9631   -5.7307   -2.1618   -4.2593   -0.8965    0.1944    5.7520    3.1324    1.1206    2.8212    0.1875    0.1340    1.3519    0.0449    0.9006    0.0799
+#&gt; 80:    90.8703   -5.7665   -2.1989   -4.2476   -0.9122    0.1933    5.4644    3.4527    1.1063    2.7920    0.1781    0.1273    1.3014    0.0497    0.9305    0.0792
+#&gt; 81:    90.7781   -5.8702   -2.1789   -4.2821   -0.8828    0.1793    5.1912    3.7553    1.0662    3.0568    0.1807    0.1209    1.3120    0.0472    0.9808    0.0772
+#&gt; 82:    90.8137   -6.1164   -2.2001   -4.3046   -0.8912    0.1916    4.9316    4.9023    1.0714    3.1363    0.1716    0.1149    1.2724    0.0539    1.0644    0.0693
+#&gt; 83:    90.9900   -6.2077   -2.1695   -4.3121   -0.8924    0.1722    6.7123    5.3290    1.1120    3.2733    0.1741    0.1091    1.2822    0.0510    1.0142    0.0715
+#&gt; 84:    90.8158   -6.3282   -2.1595   -4.2907   -0.9096    0.1818    6.3767    5.9725    1.1342    3.2384    0.1763    0.1037    1.2704    0.0420    0.8891    0.0834
+#&gt; 85:    90.5926   -6.2052   -2.1643   -4.2780   -0.9000    0.1579    6.0579    5.6739    1.1472    3.0765    0.1751    0.0985    1.3263    0.0433    0.9484    0.0814
+#&gt; 86:    90.3804   -6.2707   -2.1470   -4.2627   -0.9260    0.1650    5.7550    5.5542    1.1135    2.9227    0.1956    0.0936    1.2747    0.0447    0.9731    0.0780
+#&gt; 87:    90.8425   -6.4455   -2.1135   -4.2273   -0.9294    0.1491    5.4672    6.8599    1.0716    2.7765    0.1858    0.0928    1.3204    0.0427    1.0005    0.0744
+#&gt; 88:    91.2019   -6.2302   -2.1362   -4.1982   -0.9333    0.1615    5.1939    6.5169    1.1221    2.7203    0.1841    0.0928    1.2689    0.0466    0.9914    0.0771
+#&gt; 89:    90.9907   -6.4173   -2.1174   -4.2493   -0.9182    0.1628    4.9342    6.2408    1.1719    2.9614    0.1749    0.1021    1.3580    0.0403    1.0171    0.0775
+#&gt; 90:    91.1666   -6.5154   -2.1219   -4.2011   -0.9210    0.1594    4.6875    7.4895    1.1930    2.8133    0.1745    0.0970    1.2500    0.0432    0.9467    0.0799
+#&gt; 91:    91.0165   -6.5918   -2.1465   -4.2231   -0.9079    0.1382    4.9772    7.3172    1.1706    2.6789    0.1810    0.1032    1.2958    0.0458    1.1223    0.0639
+#&gt; 92:    91.5386   -6.6567   -2.1376   -4.2247   -0.9358    0.1696    5.5955    7.4188    1.1543    2.6339    0.1754    0.0980    1.2894    0.0463    0.9927    0.0764
+#&gt; 93:    92.2552   -6.5096   -2.1645   -4.2340   -0.9393    0.1798    5.3157    7.0479    1.1612    2.6312    0.1718    0.0931    1.3698    0.0431    1.2649    0.0579
+#&gt; 94:    91.7588   -6.4124   -2.1795   -4.2305   -0.9265    0.1842    5.8275    6.6955    1.1988    2.6403    0.1891    0.0884    1.3022    0.0481    1.0741    0.0713
+#&gt; 95:    91.6694   -6.2975   -2.1946   -4.2442   -0.9392    0.2004    5.5361    6.3607    1.1399    2.7164    0.1796    0.1027    1.2519    0.0513    1.0982    0.0724
+#&gt; 96:    91.2252   -6.0124   -2.2316   -4.2701   -0.8946    0.2375    5.2593    6.0427    1.0829    2.7921    0.2024    0.1147    1.3343    0.0426    1.3064    0.0560
+#&gt; 97:    91.0388   -5.9178   -2.2563   -4.2703   -0.9093    0.2304    5.6825    5.7405    1.0890    2.7678    0.2113    0.1090    1.3517    0.0484    1.4160    0.0493
+#&gt; 98:    90.9013   -6.1325   -2.2597   -4.2776   -0.9133    0.2447    5.7546    5.4535    1.1028    2.6806    0.2130    0.1182    1.2983    0.0451    1.2436    0.0584
+#&gt; 99:    91.2086   -6.0047   -2.2719   -4.2972   -0.9136    0.2738    5.4668    5.1808    1.1776    2.7160    0.2132    0.1123    1.3301    0.0431    1.1850    0.0628
+#&gt; 100:    91.3181   -5.9175   -2.2311   -4.3202   -0.8947    0.2844    5.1935    4.9218    1.1187    2.8660    0.2289    0.1471    1.3409    0.0371    0.9566    0.0806
+#&gt; 101:    91.5112   -5.7721   -2.2292   -4.3060   -0.8842    0.3006    6.3617    4.6757    1.0628    2.7227    0.2174    0.1500    1.3269    0.0407    1.2002    0.0592
+#&gt; 102:    91.5205   -5.9982   -2.2162   -4.3041   -0.8813    0.3065    7.7957    4.4419    1.0320    2.7176    0.2290    0.1474    1.3218    0.0392    0.9685    0.0783
+#&gt; 103:    91.2416   -5.7012   -2.2204   -4.3198   -0.8610    0.3180    7.4059    4.2198    1.0242    2.5817    0.2175    0.1714    1.3003    0.0395    0.9472    0.0825
+#&gt; 104:    91.2662   -5.8136   -2.2357   -4.3063   -0.8700    0.3110    7.0356    4.0088    1.0024    2.4701    0.2067    0.1939    1.2806    0.0407    1.0387    0.0743
+#&gt; 105:    91.4688   -5.7922   -2.2204   -4.3319   -0.8703    0.2767    6.6838    3.8084    0.9751    2.6368    0.1963    0.1967    1.3320    0.0470    1.2043    0.0580
+#&gt; 106:    91.3665   -5.8505   -2.2225   -4.3614   -0.8757    0.2922    7.1982    3.6180    1.0018    2.6378    0.1865    0.2132    1.2613    0.0464    1.0683    0.0693
+#&gt; 107:    91.4934   -5.8933   -2.1993   -4.3433   -0.9112    0.3267    6.8383    3.7379    0.9616    2.5329    0.1772    0.2169    1.2911    0.0449    1.0688    0.0731
+#&gt; 108:    92.1268   -5.7807   -2.1863   -4.4348   -0.9273    0.3235    6.4964    3.5510    1.0093    2.9025    0.1718    0.2061    1.3153    0.0414    0.8982    0.0796
+#&gt; 109:    91.6585   -5.9778   -2.2083   -4.3550   -0.9061    0.3339    6.1715    4.5778    1.0600    2.7574    0.1755    0.2163    1.2754    0.0382    0.8100    0.0868
+#&gt; 110:    92.0456   -5.6784   -2.2236   -4.3483   -0.8911    0.3022    5.8630    4.3489    1.0427    2.6195    0.1667    0.2472    1.3782    0.0336    0.7819    0.0931
+#&gt; 111:    92.2862   -5.6624   -2.1985   -4.3680   -0.9178    0.3156    5.5698    4.1315    1.0149    2.5443    0.1622    0.2348    1.3541    0.0415    0.7848    0.0868
+#&gt; 112:    92.5436   -5.6572   -2.2134   -4.3290   -0.9267    0.3025    5.2913    3.9249    1.0720    2.5118    0.1541    0.2231    1.3798    0.0385    0.9087    0.0799
+#&gt; 113:    92.5970   -5.6263   -2.2030   -4.3044   -0.9123    0.2856    5.0268    3.7287    1.1371    2.4674    0.1764    0.2119    1.3007    0.0455    0.8651    0.0850
+#&gt; 114:    92.9227   -5.6379   -2.2032   -4.2926   -0.9187    0.3282    4.7754    3.5422    1.1022    2.4105    0.1676    0.2013    1.3103    0.0439    0.9003    0.0815
+#&gt; 115:    92.7678   -5.8033   -2.1888   -4.2988   -0.9406    0.3026    4.5367    3.3651    1.1127    2.5043    0.1592    0.1913    1.3643    0.0420    0.9649    0.0800
+#&gt; 116:    92.0655   -5.8531   -2.2033   -4.2989   -0.9487    0.3013    4.3098    3.6792    1.1260    2.4981    0.1513    0.1817    1.2783    0.0445    0.9812    0.0818
+#&gt; 117:    92.2258   -5.7861   -2.2095   -4.3393   -0.9399    0.2998    4.0943    3.4952    1.0697    2.7102    0.1437    0.1752    1.3037    0.0426    0.9067    0.0786
+#&gt; 118:    92.3560   -5.8080   -2.2058   -4.3166   -0.9480    0.2743    4.6025    3.3205    1.0709    2.6198    0.1432    0.1747    1.2850    0.0481    0.9236    0.0769
+#&gt; 119:    92.0489   -5.7726   -2.1972   -4.2740   -0.9087    0.2627    4.3723    3.1544    1.0892    2.4888    0.1620    0.1660    1.2659    0.0435    0.8389    0.0832
+#&gt; 120:    91.9163   -5.8211   -2.2101   -4.2770   -0.9142    0.2674    4.1537    3.1700    1.0985    2.5003    0.1795    0.1577    1.2289    0.0454    0.9280    0.0826
+#&gt; 121:    92.0274   -5.7601   -2.1916   -4.2686   -0.9055    0.2571    3.9460    3.1181    1.1026    2.3985    0.1908    0.1498    1.3015    0.0432    0.9363    0.0807
+#&gt; 122:    92.2933   -5.7972   -2.2019   -4.2888   -0.8932    0.2679    3.7487    3.1755    1.0809    2.3976    0.1843    0.1636    1.2918    0.0433    0.8760    0.0803
+#&gt; 123:    92.3361   -5.8903   -2.1745   -4.3386   -0.9157    0.2665    3.5613    3.8794    1.1308    2.5838    0.1751    0.1555    1.3219    0.0421    0.8987    0.0806
+#&gt; 124:    92.5677   -6.0471   -2.1638   -4.2764   -0.9325    0.2645    3.3832    4.6152    1.1336    2.4546    0.1664    0.1526    1.2938    0.0375    0.9412    0.0798
+#&gt; 125:    92.7852   -5.9841   -2.1661   -4.2825   -0.9373    0.2866    3.2141    4.3844    1.0770    2.3788    0.1581    0.1727    1.3137    0.0417    0.9228    0.0733
+#&gt; 126:    92.7867   -5.9126   -2.1636   -4.2413   -0.9141    0.2756    3.0534    4.1652    1.0857    2.2921    0.1502    0.1994    1.2428    0.0450    0.8206    0.0795
+#&gt; 127:    92.8733   -5.9110   -2.1546   -4.2269   -0.9258    0.2531    2.9007    3.9569    1.0914    2.3822    0.1426    0.2029    1.3043    0.0369    0.8206    0.0795
+#&gt; 128:    93.0457   -5.9202   -2.1505   -4.2076   -0.9466    0.2463    3.3353    3.7591    1.0647    2.3012    0.1355    0.2180    1.3420    0.0385    0.8503    0.0803
+#&gt; 129:    92.9207   -5.9882   -2.1704   -4.2204   -0.9319    0.2464    4.3160    4.4368    1.1187    2.3415    0.1386    0.2316    1.2546    0.0435    0.8777    0.0830
+#&gt; 130:    92.2660   -6.2043   -2.1712   -4.2251   -0.9276    0.2186    4.4370    5.1440    1.0817    2.3426    0.1338    0.2200    1.2733    0.0476    0.9132    0.0753
+#&gt; 131:    92.1286   -6.4163   -2.1634   -4.2642   -0.9223    0.2300    4.2151    6.2253    1.0614    2.5012    0.1333    0.2090    1.2690    0.0430    0.8201    0.0814
+#&gt; 132:    92.0287   -6.4297   -2.1522   -4.2717   -0.9259    0.2250    4.0044    6.1979    1.0791    2.5146    0.1314    0.1985    1.2736    0.0449    0.8671    0.0784
+#&gt; 133:    91.6843   -6.1415   -2.1685   -4.2553   -0.9349    0.2209    3.8041    5.8880    1.1445    2.4277    0.1248    0.2026    1.3381    0.0426    0.9129    0.0858
+#&gt; 134:    91.6928   -6.1408   -2.1467   -4.2709   -0.9270    0.2648    3.6139    5.5936    1.0873    2.5602    0.1305    0.1925    1.3202    0.0416    0.7626    0.0936
+#&gt; 135:    91.7984   -6.0371   -2.1673   -4.2572   -0.9497    0.2480    3.4332    5.3139    1.0649    2.4322    0.1389    0.1829    1.2592    0.0544    0.9459    0.0831
+#&gt; 136:    91.9754   -6.1770   -2.1769   -4.2311   -0.9401    0.2435    3.2616    5.0482    1.0717    2.3106    0.1691    0.1737    1.3170    0.0436    1.0497    0.0816
+#&gt; 137:    92.1546   -6.1216   -2.1731   -4.2278   -0.9401    0.2492    3.0985    4.9378    1.0200    2.1950    0.1606    0.1988    1.4019    0.0421    1.0200    0.0766
+#&gt; 138:    92.2370   -5.9463   -2.1794   -4.1949   -0.9321    0.2460    2.9436    4.6909    1.0203    2.1200    0.1535    0.1947    1.3378    0.0425    0.9448    0.0804
+#&gt; 139:    92.2025   -5.8849   -2.1820   -4.1868   -0.9200    0.2294    2.9458    4.4564    0.9875    2.1260    0.1759    0.2080    1.3244    0.0428    1.0110    0.0778
+#&gt; 140:    91.8182   -5.7494   -2.1569   -4.1998   -0.9095    0.2318    2.7985    4.2336    1.0015    2.1507    0.1830    0.2113    1.3502    0.0432    0.7716    0.0922
+#&gt; 141:    91.8292   -5.9568   -2.1640   -4.2109   -0.9122    0.2130    4.4608    4.0219    1.0180    2.1032    0.1739    0.2057    1.3594    0.0419    0.8088    0.0883
+#&gt; 142:    91.9995   -6.0927   -2.1471   -4.2313   -0.9091    0.1875    4.5415    4.7705    1.0571    2.1286    0.1810    0.1954    1.4145    0.0406    0.8943    0.0847
+#&gt; 143:    91.9160   -5.9892   -2.1546   -4.2043   -0.9355    0.1819    4.3145    4.5320    1.1337    2.1453    0.1888    0.2208    1.3449    0.0394    1.0910    0.0797
+#&gt; 144:    92.0136   -5.9765   -2.1643   -4.2346   -0.9448    0.2455    4.3041    4.3054    1.1130    2.1300    0.1817    0.3253    1.3828    0.0340    1.0535    0.0873
+#&gt; 145:    92.3893   -6.2224   -2.1211   -4.2316   -0.9405    0.2285    5.2279    4.9099    1.0573    2.1037    0.1727    0.3091    1.3797    0.0340    1.0160    0.0832
+#&gt; 146:    92.6097   -6.2204   -2.1406   -4.2210   -0.9217    0.1762    4.9665    5.4466    1.0724    2.1658    0.1640    0.2936    1.4421    0.0408    1.2412    0.0674
+#&gt; 147:    92.8499   -6.0091   -2.1165   -4.2234   -0.9682    0.1783    4.7182    5.1743    1.0188    2.1714    0.1722    0.2789    1.4545    0.0397    1.4472    0.0556
+#&gt; 148:    92.6602   -5.8003   -2.1059   -4.2132   -0.9282    0.2102    4.4823    4.9156    1.0106    2.1075    0.1880    0.2684    1.4013    0.0413    1.0748    0.0758
+#&gt; 149:    92.7388   -5.8727   -2.1569   -4.2185   -0.9266    0.1868    4.2581    4.6698    1.1447    2.0851    0.1786    0.2550    1.3137    0.0413    0.9963    0.0723
+#&gt; 150:    92.7348   -5.7926   -2.1184   -4.2257   -0.9324    0.1966    4.0452    4.4363    1.1760    2.1508    0.1697    0.2704    1.3792    0.0363    0.8204    0.0889
+#&gt; 151:    92.7968   -5.7301   -2.1179   -4.1959   -0.9275    0.1927    3.8430    4.2145    1.1707    2.1702    0.1842    0.2569    1.3789    0.0387    0.7890    0.0873
+#&gt; 152:    92.9011   -5.7417   -2.1622   -4.2086   -0.9215    0.1784    2.0089    3.0670    1.1984    2.2253    0.1814    0.2507    1.3431    0.0395    0.9622    0.0780
+#&gt; 153:    92.8020   -5.7707   -2.1494   -4.2128   -0.9228    0.1818    2.2261    2.9648    1.1192    2.3058    0.1749    0.2548    1.3671    0.0369    0.9507    0.0744
+#&gt; 154:    92.5217   -5.8043   -2.1447   -4.2074   -0.9303    0.1766    2.7638    3.1314    1.1141    2.2814    0.1811    0.2389    1.3250    0.0408    1.0538    0.0689
+#&gt; 155:    92.8765   -5.5586   -2.1275   -4.1639   -0.9320    0.1434    2.4217    2.4658    1.1231    2.1314    0.1746    0.2426    1.3785    0.0407    0.9682    0.0796
+#&gt; 156:    93.0074   -5.6819   -2.1343   -4.1819   -0.9382    0.1587    1.4756    2.7496    1.1200    2.1700    0.1849    0.2320    1.3643    0.0395    1.0875    0.0653
+#&gt; 157:    92.7950   -5.6827   -2.1178   -4.1808   -0.9553    0.1585    1.1607    2.5156    1.1129    2.2109    0.1724    0.2366    1.4045    0.0374    1.1322    0.0676
+#&gt; 158:    92.7684   -5.7106   -2.0933   -4.2149   -0.9717    0.1602    1.4884    2.6532    1.1269    2.1388    0.1838    0.2666    1.4009    0.0348    0.8728    0.0832
+#&gt; 159:    93.0980   -5.8911   -2.1297   -4.2160   -0.9660    0.1407    1.6034    3.3765    1.1182    2.1661    0.1705    0.2804    1.3557    0.0430    1.0076    0.0776
+#&gt; 160:    93.1849   -5.9433   -2.1177   -4.1735   -0.9436    0.1324    1.8692    4.0887    1.1252    2.0213    0.1642    0.2922    1.3251    0.0386    0.8586    0.0820
+#&gt; 161:    93.4771   -5.7768   -2.0899   -4.1697   -0.9670    0.1043    2.0938    2.9110    1.1069    1.9538    0.1820    0.3046    1.3270    0.0413    0.8220    0.0855
+#&gt; 162:    93.4961   -5.6516   -2.0965   -4.1633   -0.9708    0.1263    2.2053    2.3022    1.1179    1.9555    0.1758    0.2891    1.3158    0.0417    0.9943    0.0768
+#&gt; 163:    93.1627   -5.5944   -2.1527   -4.1633   -0.9488    0.1452    2.9600    2.3291    1.1027    1.9555    0.1766    0.3000    1.3626    0.0376    0.9790    0.0743
+#&gt; 164:    92.7951   -5.6646   -2.1539   -4.1699   -0.9447    0.1863    2.9195    2.7599    1.0794    1.9511    0.1651    0.2918    1.4091    0.0357    1.1005    0.0709
+#&gt; 165:    92.6045   -5.5927   -2.1842   -4.1770   -0.9436    0.1939    2.2014    2.3213    1.0622    1.9775    0.1671    0.2899    1.3945    0.0372    1.0533    0.0694
+#&gt; 166:    92.6660   -5.5922   -2.1438   -4.1611   -0.9441    0.1767    1.8951    2.3445    1.1025    2.0399    0.1802    0.2802    1.4229    0.0354    1.1552    0.0682
+#&gt; 167:    92.4353   -5.5118   -2.1415   -4.1730   -0.9124    0.1827    1.5029    1.8145    1.0701    2.0090    0.1727    0.2642    1.4525    0.0362    1.0577    0.0754
+#&gt; 168:    92.3761   -5.5522   -2.1625   -4.1911   -0.9114    0.1782    1.2703    2.0808    1.0814    2.0588    0.1810    0.2658    1.3973    0.0364    0.9874    0.0729
+#&gt; 169:    92.5240   -5.6102   -2.1396   -4.1793   -0.8972    0.1722    1.3115    2.2750    1.0759    2.0910    0.2147    0.2549    1.3553    0.0392    0.9770    0.0759
+#&gt; 170:    92.3827   -5.5942   -2.1231   -4.1847   -0.9338    0.1525    1.5707    2.3778    1.0542    2.0824    0.2042    0.2519    1.4424    0.0363    1.1270    0.0687
+#&gt; 171:    92.1706   -5.6171   -2.1619   -4.1926   -0.9056    0.1390    1.0935    2.2869    1.1239    2.1697    0.1946    0.2624    1.2980    0.0411    0.9988    0.0740
+#&gt; 172:    92.1491   -5.5704   -2.1447   -4.1913   -0.9285    0.1649    1.0292    2.2160    1.1231    2.1905    0.1860    0.2518    1.3154    0.0375    1.0152    0.0772
+#&gt; 173:    91.9987   -5.5411   -2.1434   -4.1803   -0.9056    0.1585    0.6511    1.9989    1.0892    2.2283    0.1899    0.2413    1.3814    0.0380    1.1733    0.0693
+#&gt; 174:    92.0377   -5.5419   -2.1081   -4.1928   -0.9057    0.1418    0.9013    2.0933    1.1813    2.2773    0.1756    0.2559    1.4419    0.0343    0.9942    0.0801
+#&gt; 175:    92.0266   -5.5125   -2.1014   -4.1775   -0.9119    0.1371    0.7194    2.0624    1.1848    2.2328    0.1754    0.2504    1.3987    0.0353    1.0838    0.0728
+#&gt; 176:    92.0365   -5.5658   -2.0914   -4.1646   -0.8956    0.1096    0.7557    2.0588    1.1642    2.1610    0.1617    0.2722    1.3658    0.0347    0.9405    0.0757
+#&gt; 177:    91.8661   -5.6799   -2.0950   -4.1695   -0.9010    0.1193    0.8835    2.8899    1.1394    2.1886    0.1809    0.2777    1.3841    0.0351    0.9178    0.0794
+#&gt; 178:    91.9392   -5.7853   -2.1139   -4.1711   -0.9190    0.1222    0.6673    3.0461    1.1712    2.1948    0.1576    0.2237    1.3623    0.0383    0.9060    0.0795
+#&gt; 179:    92.0116   -5.7560   -2.1418   -4.1711   -0.9153    0.1034    0.4356    2.9139    1.1653    2.1948    0.1497    0.2364    1.3387    0.0392    0.9327    0.0793
+#&gt; 180:    92.1013   -5.7920   -2.1368   -4.1654   -0.9059    0.0912    0.3859    3.2592    1.1357    2.1744    0.1570    0.2337    1.3622    0.0408    1.0299    0.0739
+#&gt; 181:    92.1032   -5.8125   -2.1260   -4.1791   -0.9404    0.1731    0.4091    3.0817    1.1113    2.2356    0.1572    0.2742    1.4509    0.0340    0.9180    0.0865
+#&gt; 182:    92.1315   -5.7991   -2.1327   -4.1737   -0.9319    0.1519    0.3145    3.0292    1.1520    2.1360    0.1661    0.2482    1.4105    0.0361    1.1338    0.0748
+#&gt; 183:    92.1350   -6.0470   -2.1264   -4.1707   -0.9525    0.1787    0.2045    3.8296    1.1229    2.1369    0.1735    0.2453    1.3132    0.0350    1.0507    0.0759
+#&gt; 184:    92.0539   -5.9856   -2.1289   -4.1968   -0.9281    0.1789    0.1166    3.9425    1.0558    2.2320    0.1658    0.2253    1.3390    0.0355    1.1271    0.0720
+#&gt; 185:    92.0755   -6.0524   -2.1385   -4.2076   -0.9313    0.1794    0.1193    4.2430    1.0465    2.3571    0.1566    0.2152    1.3777    0.0368    1.2013    0.0631
+#&gt; 186:    92.1639   -6.0663   -2.1399   -4.1869   -0.9311    0.1817    0.1392    4.4053    1.0495    2.4857    0.1532    0.2331    1.3751    0.0365    1.0497    0.0697
+#&gt; 187:    92.1759   -6.3052   -2.1469   -4.2221   -0.9428    0.1970    0.1356    5.5622    0.9953    2.3367    0.1451    0.2359    1.3754    0.0367    1.0969    0.0656
+#&gt; 188:    92.1744   -6.0494   -2.1406   -4.2445   -0.9595    0.2089    0.1364    4.3818    0.9882    2.4074    0.1480    0.2364    1.3709    0.0396    1.1259    0.0642
+#&gt; 189:    92.1989   -6.1255   -2.1138   -4.2037   -0.9368    0.1796    0.1444    4.6756    0.9840    2.3786    0.1502    0.2303    1.3979    0.0393    1.2011    0.0630
+#&gt; 190:    92.0944   -6.1343   -2.1536   -4.2106   -0.9267    0.2105    0.1288    4.4977    1.0475    2.3593    0.1443    0.2396    1.3247    0.0384    1.1304    0.0711
+#&gt; 191:    92.1238   -6.0639   -2.1462   -4.2883   -0.9311    0.2155    0.1246    4.1066    1.0428    2.6836    0.1442    0.2344    1.4041    0.0344    1.1631    0.0684
+#&gt; 192:    92.1328   -6.0743   -2.1232   -4.3119   -0.9586    0.2319    0.1192    4.1348    1.0020    2.7067    0.1466    0.2515    1.4039    0.0355    1.0021    0.0772
+#&gt; 193:    92.0881   -5.8697   -2.1298   -4.2691   -0.9309    0.2295    0.1050    3.4476    0.9879    2.5496    0.1344    0.2348    1.4677    0.0351    1.0332    0.0705
+#&gt; 194:    92.1086   -5.7557   -2.1176   -4.3249   -0.9029    0.2183    0.0702    2.7793    1.0043    2.8853    0.1460    0.2213    1.4733    0.0325    1.0929    0.0681
+#&gt; 195:    92.1265   -5.8976   -2.1506   -4.2932   -0.9267    0.2511    0.0593    3.4959    0.9881    2.6806    0.1278    0.2505    1.6138    0.0350    1.1327    0.0703
+#&gt; 196:    92.1316   -5.7018   -2.1627   -4.2889   -0.9278    0.2392    0.0717    2.9210    1.0160    2.7067    0.1470    0.2350    1.5063    0.0418    1.0525    0.0734
+#&gt; 197:    92.1756   -5.7899   -2.1604   -4.2819   -0.9248    0.2765    0.0754    2.9991    1.0167    2.6170    0.1465    0.2314    1.4982    0.0387    1.0504    0.0774
+#&gt; 198:    92.2153   -5.8248   -2.1571   -4.2245   -0.9350    0.2195    0.0651    3.0128    0.9196    2.3123    0.1451    0.2363    1.3965    0.0453    1.1561    0.0650
+#&gt; 199:    92.1935   -5.8187   -2.1505   -4.2123   -0.9452    0.2406    0.0535    3.0017    0.9553    2.2771    0.1338    0.2415    1.4485    0.0407    1.0647    0.0699
+#&gt; 200:    92.2308   -5.6732   -2.1578   -4.2182   -0.9324    0.2330    0.0618    2.4070    1.0687    2.2978    0.1513    0.2199    1.4101    0.0385    1.0283    0.0741
+#&gt; 201:    92.2305   -5.6796   -2.1604   -4.2064   -0.9320    0.2262    0.0530    2.4360    1.0551    2.2994    0.1529    0.2219    1.3653    0.0407    1.0115    0.0757
+#&gt; 202:    92.2259   -5.7201   -2.1550   -4.2058   -0.9263    0.2208    0.0461    2.6422    1.0351    2.2888    0.1520    0.2100    1.3739    0.0418    1.0474    0.0730
+#&gt; 203:    92.2212   -5.7539   -2.1457   -4.2037   -0.9303    0.2163    0.0422    2.8480    1.0403    2.2723    0.1465    0.2070    1.3973    0.0404    1.0518    0.0729
+#&gt; 204:    92.2164   -5.8068   -2.1371   -4.2093   -0.9300    0.2163    0.0383    3.1313    1.0426    2.2984    0.1423    0.2091    1.4025    0.0391    1.0284    0.0737
+#&gt; 205:    92.2120   -5.8371   -2.1369   -4.2142   -0.9308    0.2156    0.0347    3.2786    1.0392    2.3249    0.1390    0.2048    1.4115    0.0385    1.0161    0.0733
+#&gt; 206:    92.2071   -5.8681   -2.1391   -4.2176   -0.9287    0.2158    0.0336    3.4917    1.0442    2.3461    0.1388    0.2041    1.4017    0.0394    0.9977    0.0735
+#&gt; 207:    92.2078   -5.8966   -2.1424   -4.2230   -0.9286    0.2181    0.0337    3.6741    1.0456    2.3743    0.1369    0.2009    1.3988    0.0397    0.9792    0.0740
+#&gt; 208:    92.2077   -5.8972   -2.1459   -4.2249   -0.9300    0.2208    0.0340    3.6775    1.0460    2.3889    0.1362    0.1985    1.3969    0.0394    0.9729    0.0742
+#&gt; 209:    92.2091   -5.8831   -2.1488   -4.2271   -0.9326    0.2227    0.0337    3.6019    1.0465    2.4005    0.1380    0.1967    1.3949    0.0395    0.9745    0.0741
+#&gt; 210:    92.2115   -5.8806   -2.1490   -4.2282   -0.9349    0.2238    0.0324    3.5652    1.0516    2.4211    0.1386    0.1979    1.3941    0.0391    0.9820    0.0740
+#&gt; 211:    92.2151   -5.8791   -2.1516   -4.2291   -0.9363    0.2258    0.0318    3.5315    1.0458    2.4465    0.1390    0.1989    1.3918    0.0394    0.9901    0.0735
+#&gt; 212:    92.2189   -5.8789   -2.1532   -4.2297   -0.9380    0.2269    0.0312    3.4989    1.0434    2.4718    0.1409    0.1993    1.3884    0.0394    1.0007    0.0732
+#&gt; 213:    92.2226   -5.8714   -2.1556   -4.2287   -0.9395    0.2255    0.0313    3.4460    1.0440    2.4800    0.1413    0.1993    1.3859    0.0397    1.0157    0.0722
+#&gt; 214:    92.2233   -5.8706   -2.1553   -4.2279   -0.9394    0.2237    0.0309    3.4283    1.0431    2.4809    0.1414    0.2003    1.3849    0.0399    1.0186    0.0720
+#&gt; 215:    92.2242   -5.8750   -2.1536   -4.2285   -0.9390    0.2212    0.0312    3.4442    1.0455    2.4800    0.1417    0.2015    1.3830    0.0401    1.0126    0.0723
+#&gt; 216:    92.2252   -5.8788   -2.1521   -4.2277   -0.9393    0.2192    0.0316    3.4718    1.0459    2.4791    0.1410    0.2028    1.3817    0.0402    1.0046    0.0726
+#&gt; 217:    92.2255   -5.8869   -2.1516   -4.2268   -0.9400    0.2177    0.0322    3.5295    1.0456    2.4751    0.1407    0.2042    1.3814    0.0401    1.0011    0.0729
+#&gt; 218:    92.2230   -5.8819   -2.1511   -4.2259   -0.9400    0.2164    0.0327    3.5004    1.0473    2.4693    0.1399    0.2051    1.3784    0.0401    0.9962    0.0731
+#&gt; 219:    92.2206   -5.8761   -2.1499   -4.2269   -0.9393    0.2156    0.0325    3.4736    1.0494    2.4667    0.1399    0.2066    1.3794    0.0399    0.9925    0.0734
+#&gt; 220:    92.2185   -5.8775   -2.1494   -4.2267   -0.9380    0.2150    0.0331    3.4894    1.0511    2.4596    0.1396    0.2090    1.3788    0.0398    0.9881    0.0734
+#&gt; 221:    92.2180   -5.8774   -2.1499   -4.2271   -0.9369    0.2142    0.0328    3.4873    1.0518    2.4559    0.1399    0.2109    1.3776    0.0399    0.9842    0.0735
+#&gt; 222:    92.2191   -5.8833   -2.1503   -4.2280   -0.9359    0.2127    0.0328    3.5384    1.0518    2.4533    0.1400    0.2114    1.3778    0.0400    0.9825    0.0735
+#&gt; 223:    92.2199   -5.8831   -2.1486   -4.2288   -0.9343    0.2112    0.0326    3.5474    1.0539    2.4515    0.1396    0.2127    1.3795    0.0398    0.9806    0.0735
+#&gt; 224:    92.2206   -5.8870   -2.1467   -4.2283   -0.9331    0.2093    0.0324    3.5619    1.0550    2.4482    0.1395    0.2133    1.3805    0.0395    0.9792    0.0735
+#&gt; 225:    92.2218   -5.8929   -2.1459   -4.2289   -0.9328    0.2086    0.0322    3.6001    1.0548    2.4492    0.1388    0.2142    1.3804    0.0393    0.9809    0.0734
+#&gt; 226:    92.2228   -5.8909   -2.1440   -4.2293   -0.9322    0.2082    0.0320    3.6007    1.0566    2.4513    0.1383    0.2143    1.3826    0.0390    0.9815    0.0737
+#&gt; 227:    92.2234   -5.8838   -2.1444   -4.2304   -0.9319    0.2088    0.0319    3.5748    1.0551    2.4562    0.1381    0.2140    1.3814    0.0390    0.9836    0.0736
+#&gt; 228:    92.2243   -5.8835   -2.1444   -4.2314   -0.9326    0.2093    0.0317    3.5756    1.0526    2.4607    0.1377    0.2143    1.3824    0.0389    0.9901    0.0733
+#&gt; 229:    92.2251   -5.8916   -2.1442   -4.2307   -0.9330    0.2095    0.0318    3.6344    1.0501    2.4580    0.1371    0.2148    1.3850    0.0388    0.9930    0.0733
+#&gt; 230:    92.2250   -5.8951   -2.1442   -4.2303   -0.9334    0.2107    0.0318    3.6533    1.0475    2.4550    0.1369    0.2150    1.3872    0.0387    0.9953    0.0734
+#&gt; 231:    92.2247   -5.8964   -2.1444   -4.2300   -0.9345    0.2119    0.0322    3.6564    1.0446    2.4549    0.1368    0.2151    1.3899    0.0388    0.9991    0.0733
+#&gt; 232:    92.2230   -5.8982   -2.1451   -4.2306   -0.9352    0.2132    0.0326    3.6643    1.0422    2.4591    0.1365    0.2155    1.3934    0.0388    1.0052    0.0729
+#&gt; 233:    92.2223   -5.9022   -2.1455   -4.2327   -0.9354    0.2141    0.0329    3.6824    1.0396    2.4697    0.1362    0.2165    1.3970    0.0388    1.0107    0.0726
+#&gt; 234:    92.2200   -5.9075   -2.1457   -4.2324   -0.9348    0.2140    0.0335    3.7056    1.0364    2.4735    0.1366    0.2174    1.3977    0.0388    1.0163    0.0723
+#&gt; 235:    92.2171   -5.9094   -2.1457   -4.2338   -0.9342    0.2142    0.0342    3.7222    1.0339    2.4854    0.1372    0.2189    1.3999    0.0389    1.0228    0.0721
+#&gt; 236:    92.2161   -5.9195   -2.1464   -4.2368   -0.9340    0.2140    0.0346    3.7789    1.0329    2.4986    0.1376    0.2200    1.4007    0.0389    1.0281    0.0721
+#&gt; 237:    92.2163   -5.9214   -2.1469   -4.2390   -0.9330    0.2143    0.0347    3.7862    1.0329    2.5074    0.1378    0.2195    1.4030    0.0389    1.0320    0.0719
+#&gt; 238:    92.2165   -5.9203   -2.1473   -4.2399   -0.9326    0.2143    0.0347    3.7781    1.0336    2.5100    0.1381    0.2186    1.4031    0.0388    1.0347    0.0719
+#&gt; 239:    92.2173   -5.9212   -2.1471   -4.2403   -0.9325    0.2136    0.0344    3.7908    1.0350    2.5128    0.1384    0.2175    1.4021    0.0389    1.0352    0.0718
+#&gt; 240:    92.2178   -5.9217   -2.1470   -4.2394   -0.9322    0.2133    0.0342    3.8082    1.0363    2.5118    0.1384    0.2169    1.4025    0.0387    1.0345    0.0719
+#&gt; 241:    92.2177   -5.9200   -2.1470   -4.2383   -0.9318    0.2136    0.0340    3.8123    1.0381    2.5110    0.1385    0.2161    1.4028    0.0387    1.0336    0.0720
+#&gt; 242:    92.2170   -5.9109   -2.1478   -4.2371   -0.9308    0.2136    0.0340    3.7766    1.0387    2.5090    0.1385    0.2157    1.4027    0.0386    1.0322    0.0720
+#&gt; 243:    92.2165   -5.9029   -2.1484   -4.2371   -0.9300    0.2140    0.0340    3.7433    1.0389    2.5128    0.1386    0.2150    1.4032    0.0385    1.0342    0.0720
+#&gt; 244:    92.2161   -5.8998   -2.1489   -4.2374   -0.9294    0.2143    0.0340    3.7242    1.0392    2.5173    0.1386    0.2148    1.4030    0.0384    1.0343    0.0720
+#&gt; 245:    92.2153   -5.9048   -2.1494   -4.2370   -0.9291    0.2149    0.0339    3.7491    1.0399    2.5182    0.1386    0.2146    1.4019    0.0383    1.0317    0.0722
+#&gt; 246:    92.2147   -5.9093   -2.1498   -4.2371   -0.9289    0.2156    0.0339    3.7727    1.0409    2.5218    0.1384    0.2145    1.4016    0.0382    1.0309    0.0724
+#&gt; 247:    92.2143   -5.9124   -2.1503   -4.2368   -0.9286    0.2159    0.0338    3.7972    1.0408    2.5232    0.1383    0.2144    1.4012    0.0382    1.0297    0.0725
+#&gt; 248:    92.2137   -5.9122   -2.1500   -4.2367   -0.9286    0.2160    0.0336    3.8036    1.0409    2.5245    0.1382    0.2141    1.4022    0.0381    1.0272    0.0727
+#&gt; 249:    92.2133   -5.9101   -2.1501   -4.2364   -0.9288    0.2160    0.0334    3.7984    1.0406    2.5268    0.1383    0.2136    1.4031    0.0381    1.0273    0.0726
+#&gt; 250:    92.2139   -5.9115   -2.1502   -4.2368   -0.9289    0.2167    0.0335    3.8015    1.0412    2.5326    0.1380    0.2132    1.4035    0.0381    1.0261    0.0727
+#&gt; 251:    92.2132   -5.9123   -2.1502   -4.2373   -0.9297    0.2170    0.0338    3.8015    1.0421    2.5362    0.1376    0.2126    1.4053    0.0379    1.0274    0.0727
+#&gt; 252:    92.2128   -5.9106   -2.1502   -4.2366   -0.9299    0.2174    0.0338    3.7931    1.0427    2.5345    0.1371    0.2120    1.4062    0.0379    1.0262    0.0728
+#&gt; 253:    92.2118   -5.9098   -2.1492   -4.2364   -0.9297    0.2173    0.0340    3.8011    1.0420    2.5338    0.1369    0.2121    1.4074    0.0378    1.0232    0.0731
+#&gt; 254:    92.2107   -5.9104   -2.1479   -4.2362   -0.9296    0.2171    0.0341    3.8085    1.0398    2.5330    0.1366    0.2123    1.4093    0.0377    1.0230    0.0731
+#&gt; 255:    92.2103   -5.9133   -2.1466   -4.2359   -0.9299    0.2166    0.0341    3.8219    1.0381    2.5346    0.1363    0.2122    1.4105    0.0377    1.0230    0.0731
+#&gt; 256:    92.2094   -5.9171   -2.1453   -4.2356   -0.9299    0.2161    0.0341    3.8498    1.0366    2.5366    0.1362    0.2123    1.4114    0.0375    1.0239    0.0731
+#&gt; 257:    92.2091   -5.9169   -2.1441   -4.2353   -0.9302    0.2153    0.0341    3.8529    1.0347    2.5385    0.1360    0.2118    1.4126    0.0375    1.0265    0.0729
+#&gt; 258:    92.2089   -5.9191   -2.1431   -4.2349   -0.9301    0.2145    0.0340    3.8608    1.0331    2.5392    0.1359    0.2119    1.4126    0.0375    1.0282    0.0728
+#&gt; 259:    92.2093   -5.9249   -2.1426   -4.2337   -0.9301    0.2145    0.0341    3.8853    1.0321    2.5385    0.1361    0.2120    1.4114    0.0374    1.0280    0.0728
+#&gt; 260:    92.2095   -5.9297   -2.1415   -4.2328   -0.9303    0.2146    0.0339    3.9108    1.0302    2.5367    0.1358    0.2125    1.4112    0.0373    1.0265    0.0729
+#&gt; 261:    92.2096   -5.9341   -2.1407   -4.2321   -0.9307    0.2147    0.0338    3.9343    1.0278    2.5343    0.1356    0.2131    1.4121    0.0373    1.0272    0.0728
+#&gt; 262:    92.2094   -5.9342   -2.1398   -4.2312   -0.9310    0.2149    0.0336    3.9314    1.0254    2.5313    0.1356    0.2139    1.4115    0.0372    1.0249    0.0729
+#&gt; 263:    92.2088   -5.9376   -2.1388   -4.2304   -0.9313    0.2153    0.0334    3.9452    1.0232    2.5289    0.1357    0.2143    1.4109    0.0371    1.0228    0.0731
+#&gt; 264:    92.2077   -5.9410   -2.1379   -4.2301   -0.9317    0.2153    0.0333    3.9571    1.0204    2.5265    0.1356    0.2147    1.4105    0.0371    1.0224    0.0731
+#&gt; 265:    92.2069   -5.9454   -2.1374   -4.2296   -0.9322    0.2154    0.0332    3.9800    1.0182    2.5230    0.1356    0.2147    1.4115    0.0371    1.0232    0.0730
+#&gt; 266:    92.2067   -5.9463   -2.1370   -4.2291   -0.9324    0.2155    0.0330    3.9809    1.0165    2.5217    0.1354    0.2148    1.4121    0.0371    1.0220    0.0730
+#&gt; 267:    92.2064   -5.9492   -2.1368   -4.2282   -0.9329    0.2154    0.0328    3.9874    1.0150    2.5199    0.1357    0.2150    1.4124    0.0370    1.0233    0.0729
+#&gt; 268:    92.2065   -5.9468   -2.1360   -4.2276   -0.9333    0.2155    0.0328    3.9722    1.0133    2.5171    0.1362    0.2155    1.4133    0.0369    1.0243    0.0729
+#&gt; 269:    92.2066   -5.9438   -2.1352   -4.2267   -0.9335    0.2151    0.0328    3.9526    1.0122    2.5142    0.1367    0.2154    1.4140    0.0369    1.0244    0.0728
+#&gt; 270:    92.2067   -5.9388   -2.1351   -4.2259   -0.9339    0.2151    0.0326    3.9283    1.0112    2.5114    0.1370    0.2157    1.4137    0.0368    1.0240    0.0729
+#&gt; 271:    92.2069   -5.9350   -2.1344   -4.2252   -0.9342    0.2152    0.0324    3.9072    1.0107    2.5094    0.1370    0.2158    1.4136    0.0367    1.0222    0.0730
+#&gt; 272:    92.2069   -5.9317   -2.1341   -4.2246   -0.9348    0.2153    0.0321    3.8870    1.0104    2.5082    0.1372    0.2157    1.4139    0.0366    1.0219    0.0731
+#&gt; 273:    92.2068   -5.9289   -2.1340   -4.2240   -0.9348    0.2152    0.0320    3.8711    1.0101    2.5075    0.1373    0.2159    1.4146    0.0366    1.0232    0.0730
+#&gt; 274:    92.2067   -5.9271   -2.1337   -4.2239   -0.9350    0.2153    0.0318    3.8569    1.0101    2.5085    0.1377    0.2157    1.4144    0.0366    1.0239    0.0731
+#&gt; 275:    92.2063   -5.9264   -2.1339   -4.2235   -0.9353    0.2156    0.0317    3.8476    1.0097    2.5078    0.1382    0.2157    1.4143    0.0365    1.0256    0.0730
+#&gt; 276:    92.2059   -5.9271   -2.1339   -4.2231   -0.9354    0.2160    0.0316    3.8417    1.0097    2.5074    0.1387    0.2156    1.4132    0.0365    1.0260    0.0730
+#&gt; 277:    92.2059   -5.9283   -2.1342   -4.2225   -0.9356    0.2163    0.0316    3.8412    1.0094    2.5073    0.1393    0.2155    1.4122    0.0364    1.0283    0.0729
+#&gt; 278:    92.2062   -5.9278   -2.1341   -4.2220   -0.9361    0.2166    0.0318    3.8331    1.0081    2.5069    0.1397    0.2154    1.4117    0.0364    1.0321    0.0727
+#&gt; 279:    92.2061   -5.9264   -2.1341   -4.2214   -0.9363    0.2168    0.0319    3.8188    1.0072    2.5051    0.1402    0.2155    1.4111    0.0364    1.0342    0.0726
+#&gt; 280:    92.2057   -5.9263   -2.1344   -4.2211   -0.9365    0.2167    0.0321    3.8114    1.0072    2.5061    0.1406    0.2148    1.4108    0.0365    1.0361    0.0725
+#&gt; 281:    92.2048   -5.9269   -2.1344   -4.2208   -0.9365    0.2166    0.0324    3.8082    1.0076    2.5077    0.1410    0.2142    1.4098    0.0365    1.0363    0.0726
+#&gt; 282:    92.2045   -5.9257   -2.1347   -4.2205   -0.9366    0.2165    0.0328    3.8040    1.0082    2.5092    0.1413    0.2138    1.4090    0.0365    1.0364    0.0726
+#&gt; 283:    92.2038   -5.9235   -2.1348   -4.2201   -0.9363    0.2163    0.0331    3.7955    1.0089    2.5108    0.1415    0.2134    1.4086    0.0365    1.0362    0.0726
+#&gt; 284:    92.2032   -5.9234   -2.1348   -4.2198   -0.9359    0.2162    0.0335    3.7945    1.0100    2.5118    0.1420    0.2129    1.4083    0.0365    1.0362    0.0726
+#&gt; 285:    92.2028   -5.9236   -2.1347   -4.2193   -0.9360    0.2161    0.0339    3.7930    1.0104    2.5124    0.1422    0.2125    1.4080    0.0365    1.0373    0.0725
+#&gt; 286:    92.2020   -5.9221   -2.1344   -4.2187   -0.9355    0.2156    0.0341    3.7872    1.0104    2.5134    0.1425    0.2121    1.4074    0.0364    1.0377    0.0725
+#&gt; 287:    92.2013   -5.9213   -2.1341   -4.2183   -0.9354    0.2154    0.0343    3.7888    1.0098    2.5151    0.1428    0.2119    1.4075    0.0364    1.0390    0.0724
+#&gt; 288:    92.2003   -5.9195   -2.1339   -4.2182   -0.9355    0.2152    0.0343    3.7831    1.0090    2.5180    0.1430    0.2116    1.4082    0.0364    1.0408    0.0723
+#&gt; 289:    92.1995   -5.9186   -2.1339   -4.2182   -0.9355    0.2154    0.0343    3.7805    1.0083    2.5217    0.1429    0.2115    1.4085    0.0364    1.0426    0.0722
+#&gt; 290:    92.1984   -5.9180   -2.1339   -4.2177   -0.9354    0.2153    0.0343    3.7767    1.0080    2.5219    0.1427    0.2113    1.4083    0.0365    1.0429    0.0721
+#&gt; 291:    92.1975   -5.9167   -2.1334   -4.2175   -0.9355    0.2151    0.0343    3.7701    1.0080    2.5230    0.1427    0.2108    1.4083    0.0364    1.0439    0.0721
+#&gt; 292:    92.1971   -5.9175   -2.1330   -4.2166   -0.9356    0.2144    0.0342    3.7722    1.0081    2.5227    0.1426    0.2107    1.4079    0.0364    1.0443    0.0721
+#&gt; 293:    92.1963   -5.9188   -2.1330   -4.2157   -0.9357    0.2141    0.0342    3.7768    1.0083    2.5242    0.1425    0.2103    1.4073    0.0364    1.0439    0.0721
+#&gt; 294:    92.1953   -5.9189   -2.1328   -4.2157   -0.9357    0.2136    0.0344    3.7727    1.0078    2.5294    0.1427    0.2095    1.4079    0.0364    1.0456    0.0720
+#&gt; 295:    92.1946   -5.9171   -2.1329   -4.2153   -0.9355    0.2135    0.0345    3.7623    1.0081    2.5331    0.1426    0.2090    1.4080    0.0364    1.0462    0.0720
+#&gt; 296:    92.1940   -5.9154   -2.1329   -4.2150   -0.9354    0.2130    0.0346    3.7523    1.0082    2.5354    0.1425    0.2084    1.4075    0.0365    1.0463    0.0720
+#&gt; 297:    92.1934   -5.9128   -2.1330   -4.2145   -0.9351    0.2127    0.0349    3.7395    1.0084    2.5373    0.1423    0.2079    1.4072    0.0365    1.0453    0.0720
+#&gt; 298:    92.1932   -5.9128   -2.1332   -4.2138   -0.9347    0.2120    0.0350    3.7372    1.0085    2.5368    0.1423    0.2075    1.4068    0.0365    1.0449    0.0720
+#&gt; 299:    92.1927   -5.9120   -2.1333   -4.2131   -0.9344    0.2112    0.0352    3.7324    1.0088    2.5366    0.1422    0.2070    1.4059    0.0366    1.0441    0.0721
+#&gt; 300:    92.1921   -5.9097   -2.1335   -4.2122   -0.9343    0.2105    0.0353    3.7211    1.0096    2.5357    0.1425    0.2066    1.4050    0.0367    1.0443    0.0721
+#&gt; 301:    92.1915   -5.9081   -2.1337   -4.2116   -0.9343    0.2098    0.0355    3.7110    1.0104    2.5355    0.1427    0.2061    1.4041    0.0368    1.0448    0.0721
+#&gt; 302:    92.1912   -5.9067   -2.1340   -4.2108   -0.9342    0.2092    0.0355    3.7052    1.0114    2.5348    0.1428    0.2055    1.4036    0.0369    1.0442    0.0722
+#&gt; 303:    92.1913   -5.9039   -2.1342   -4.2113   -0.9342    0.2087    0.0355    3.6925    1.0123    2.5408    0.1430    0.2049    1.4028    0.0369    1.0436    0.0723
+#&gt; 304:    92.1920   -5.9012   -2.1342   -4.2119   -0.9342    0.2081    0.0356    3.6781    1.0129    2.5476    0.1432    0.2044    1.4026    0.0369    1.0436    0.0723
+#&gt; 305:    92.1923   -5.8984   -2.1343   -4.2123   -0.9341    0.2076    0.0354    3.6633    1.0134    2.5525    0.1434    0.2038    1.4022    0.0370    1.0434    0.0724
+#&gt; 306:    92.1926   -5.8977   -2.1343   -4.2121   -0.9343    0.2072    0.0354    3.6603    1.0144    2.5567    0.1436    0.2030    1.4022    0.0369    1.0431    0.0724
+#&gt; 307:    92.1931   -5.8970   -2.1346   -4.2124   -0.9344    0.2068    0.0353    3.6555    1.0154    2.5617    0.1438    0.2021    1.4017    0.0370    1.0431    0.0725
+#&gt; 308:    92.1935   -5.8963   -2.1347   -4.2127   -0.9343    0.2062    0.0351    3.6486    1.0166    2.5665    0.1439    0.2012    1.4017    0.0370    1.0431    0.0724
+#&gt; 309:    92.1934   -5.8965   -2.1349   -4.2130   -0.9344    0.2058    0.0350    3.6454    1.0180    2.5711    0.1439    0.2003    1.4013    0.0370    1.0427    0.0725
+#&gt; 310:    92.1935   -5.8965   -2.1349   -4.2133   -0.9345    0.2055    0.0350    3.6401    1.0193    2.5761    0.1439    0.1993    1.4013    0.0371    1.0418    0.0725
+#&gt; 311:    92.1931   -5.8976   -2.1349   -4.2139   -0.9346    0.2052    0.0349    3.6416    1.0207    2.5820    0.1437    0.1982    1.4015    0.0370    1.0411    0.0726
+#&gt; 312:    92.1928   -5.8995   -2.1350   -4.2149   -0.9349    0.2053    0.0350    3.6472    1.0222    2.5902    0.1437    0.1972    1.4018    0.0370    1.0412    0.0727
+#&gt; 313:    92.1922   -5.8999   -2.1350   -4.2159   -0.9352    0.2055    0.0350    3.6450    1.0236    2.5989    0.1436    0.1962    1.4017    0.0369    1.0407    0.0728
+#&gt; 314:    92.1913   -5.9021   -2.1353   -4.2171   -0.9353    0.2055    0.0350    3.6532    1.0244    2.6086    0.1437    0.1951    1.4019    0.0369    1.0409    0.0728
+#&gt; 315:    92.1905   -5.9033   -2.1358   -4.2178   -0.9354    0.2055    0.0351    3.6591    1.0252    2.6142    0.1438    0.1941    1.4018    0.0369    1.0420    0.0728
+#&gt; 316:    92.1895   -5.9043   -2.1358   -4.2186   -0.9352    0.2053    0.0352    3.6648    1.0266    2.6207    0.1441    0.1934    1.4016    0.0369    1.0420    0.0729
+#&gt; 317:    92.1888   -5.9041   -2.1359   -4.2200   -0.9352    0.2052    0.0352    3.6673    1.0278    2.6312    0.1444    0.1926    1.4014    0.0369    1.0416    0.0729
+#&gt; 318:    92.1879   -5.9039   -2.1360   -4.2212   -0.9352    0.2052    0.0354    3.6670    1.0292    2.6380    0.1446    0.1919    1.4010    0.0369    1.0403    0.0730
+#&gt; 319:    92.1871   -5.9046   -2.1361   -4.2222   -0.9353    0.2052    0.0354    3.6709    1.0306    2.6432    0.1448    0.1912    1.4008    0.0369    1.0394    0.0731
+#&gt; 320:    92.1863   -5.9023   -2.1365   -4.2229   -0.9355    0.2052    0.0355    3.6602    1.0318    2.6466    0.1448    0.1903    1.4011    0.0369    1.0398    0.0731
+#&gt; 321:    92.1855   -5.8996   -2.1368   -4.2236   -0.9354    0.2053    0.0355    3.6491    1.0329    2.6505    0.1448    0.1895    1.4017    0.0369    1.0402    0.0731
+#&gt; 322:    92.1850   -5.8979   -2.1370   -4.2243   -0.9353    0.2057    0.0356    3.6399    1.0341    2.6534    0.1447    0.1888    1.4020    0.0368    1.0394    0.0732
+#&gt; 323:    92.1844   -5.8984   -2.1371   -4.2251   -0.9352    0.2059    0.0356    3.6431    1.0346    2.6566    0.1447    0.1882    1.4026    0.0368    1.0389    0.0733
+#&gt; 324:    92.1838   -5.8967   -2.1372   -4.2257   -0.9353    0.2062    0.0356    3.6392    1.0351    2.6598    0.1445    0.1875    1.4031    0.0368    1.0382    0.0734
+#&gt; 325:    92.1835   -5.8936   -2.1374   -4.2264   -0.9351    0.2066    0.0355    3.6288    1.0352    2.6633    0.1444    0.1869    1.4043    0.0367    1.0391    0.0734
+#&gt; 326:    92.1837   -5.8936   -2.1376   -4.2276   -0.9350    0.2071    0.0354    3.6296    1.0354    2.6684    0.1444    0.1865    1.4043    0.0367    1.0380    0.0735
+#&gt; 327:    92.1837   -5.8943   -2.1378   -4.2289   -0.9347    0.2076    0.0354    3.6348    1.0357    2.6746    0.1444    0.1860    1.4043    0.0366    1.0380    0.0735
+#&gt; 328:    92.1838   -5.8953   -2.1380   -4.2297   -0.9345    0.2081    0.0354    3.6456    1.0360    2.6776    0.1444    0.1856    1.4043    0.0366    1.0379    0.0735
+#&gt; 329:    92.1836   -5.8974   -2.1383   -4.2305   -0.9342    0.2085    0.0356    3.6591    1.0361    2.6802    0.1444    0.1852    1.4043    0.0366    1.0385    0.0735
+#&gt; 330:    92.1832   -5.8994   -2.1387   -4.2305   -0.9342    0.2088    0.0358    3.6715    1.0364    2.6798    0.1443    0.1849    1.4037    0.0367    1.0378    0.0736
+#&gt; 331:    92.1826   -5.8983   -2.1391   -4.2302   -0.9342    0.2091    0.0357    3.6670    1.0368    2.6800    0.1442    0.1845    1.4038    0.0367    1.0379    0.0736
+#&gt; 332:    92.1824   -5.8959   -2.1396   -4.2301   -0.9341    0.2097    0.0357    3.6576    1.0375    2.6792    0.1442    0.1842    1.4034    0.0367    1.0372    0.0737
+#&gt; 333:    92.1826   -5.8937   -2.1401   -4.2304   -0.9340    0.2104    0.0356    3.6487    1.0383    2.6798    0.1442    0.1838    1.4029    0.0367    1.0360    0.0738
+#&gt; 334:    92.1825   -5.8911   -2.1407   -4.2311   -0.9339    0.2112    0.0355    3.6378    1.0390    2.6825    0.1444    0.1834    1.4025    0.0367    1.0349    0.0739
+#&gt; 335:    92.1830   -5.8887   -2.1411   -4.2317   -0.9336    0.2118    0.0355    3.6294    1.0396    2.6850    0.1444    0.1830    1.4022    0.0367    1.0338    0.0740
+#&gt; 336:    92.1834   -5.8872   -2.1413   -4.2324   -0.9334    0.2124    0.0356    3.6249    1.0402    2.6880    0.1444    0.1825    1.4024    0.0367    1.0339    0.0740
+#&gt; 337:    92.1835   -5.8869   -2.1416   -4.2334   -0.9332    0.2131    0.0356    3.6252    1.0411    2.6926    0.1443    0.1821    1.4029    0.0366    1.0330    0.0741
+#&gt; 338:    92.1839   -5.8882   -2.1418   -4.2346   -0.9333    0.2137    0.0357    3.6332    1.0421    2.6972    0.1441    0.1815    1.4036    0.0366    1.0324    0.0742
+#&gt; 339:    92.1845   -5.8869   -2.1420   -4.2358   -0.9332    0.2143    0.0357    3.6261    1.0428    2.7021    0.1439    0.1810    1.4043    0.0366    1.0322    0.0742
+#&gt; 340:    92.1846   -5.8863   -2.1421   -4.2367   -0.9331    0.2147    0.0357    3.6242    1.0436    2.7060    0.1439    0.1804    1.4049    0.0365    1.0328    0.0743
+#&gt; 341:    92.1848   -5.8847   -2.1421   -4.2378   -0.9330    0.2150    0.0356    3.6177    1.0442    2.7099    0.1439    0.1798    1.4056    0.0366    1.0334    0.0743
+#&gt; 342:    92.1848   -5.8838   -2.1421   -4.2390   -0.9330    0.2154    0.0355    3.6114    1.0449    2.7151    0.1438    0.1792    1.4064    0.0365    1.0332    0.0743
+#&gt; 343:    92.1849   -5.8840   -2.1423   -4.2398   -0.9330    0.2157    0.0353    3.6109    1.0459    2.7191    0.1438    0.1785    1.4060    0.0366    1.0334    0.0743
+#&gt; 344:    92.1851   -5.8839   -2.1423   -4.2406   -0.9330    0.2159    0.0352    3.6092    1.0467    2.7229    0.1440    0.1779    1.4060    0.0365    1.0338    0.0743
+#&gt; 345:    92.1850   -5.8841   -2.1424   -4.2414   -0.9331    0.2162    0.0352    3.6070    1.0472    2.7263    0.1441    0.1774    1.4056    0.0365    1.0341    0.0743
+#&gt; 346:    92.1848   -5.8839   -2.1424   -4.2420   -0.9333    0.2164    0.0352    3.6048    1.0479    2.7292    0.1443    0.1769    1.4058    0.0365    1.0344    0.0743
+#&gt; 347:    92.1846   -5.8835   -2.1425   -4.2427   -0.9334    0.2166    0.0353    3.6017    1.0495    2.7330    0.1444    0.1763    1.4053    0.0365    1.0343    0.0743
+#&gt; 348:    92.1846   -5.8825   -2.1427   -4.2434   -0.9336    0.2168    0.0353    3.5968    1.0508    2.7362    0.1445    0.1757    1.4051    0.0365    1.0343    0.0743
+#&gt; 349:    92.1846   -5.8820   -2.1432   -4.2444   -0.9337    0.2172    0.0352    3.5937    1.0519    2.7412    0.1446    0.1752    1.4047    0.0365    1.0343    0.0743
+#&gt; 350:    92.1845   -5.8817   -2.1435   -4.2454   -0.9338    0.2179    0.0351    3.5899    1.0526    2.7460    0.1448    0.1747    1.4042    0.0365    1.0339    0.0744
+#&gt; 351:    92.1844   -5.8824   -2.1439   -4.2468   -0.9338    0.2184    0.0350    3.5917    1.0535    2.7531    0.1448    0.1740    1.4041    0.0365    1.0336    0.0744
+#&gt; 352:    92.1840   -5.8840   -2.1442   -4.2482   -0.9338    0.2189    0.0350    3.6013    1.0543    2.7603    0.1450    0.1734    1.4044    0.0364    1.0342    0.0744
+#&gt; 353:    92.1838   -5.8848   -2.1445   -4.2492   -0.9336    0.2194    0.0349    3.6030    1.0552    2.7652    0.1451    0.1730    1.4043    0.0364    1.0338    0.0744
+#&gt; 354:    92.1838   -5.8835   -2.1449   -4.2501   -0.9336    0.2197    0.0349    3.5961    1.0563    2.7697    0.1452    0.1723    1.4044    0.0364    1.0342    0.0744
+#&gt; 355:    92.1837   -5.8826   -2.1453   -4.2511   -0.9335    0.2199    0.0348    3.5910    1.0569    2.7757    0.1451    0.1718    1.4053    0.0364    1.0348    0.0744
+#&gt; 356:    92.1835   -5.8826   -2.1456   -4.2520   -0.9334    0.2198    0.0348    3.5922    1.0577    2.7815    0.1451    0.1712    1.4054    0.0364    1.0352    0.0744
+#&gt; 357:    92.1834   -5.8818   -2.1457   -4.2525   -0.9334    0.2198    0.0349    3.5894    1.0588    2.7852    0.1449    0.1706    1.4058    0.0364    1.0354    0.0744
+#&gt; 358:    92.1834   -5.8808   -2.1459   -4.2531   -0.9334    0.2197    0.0348    3.5861    1.0600    2.7891    0.1449    0.1701    1.4062    0.0364    1.0361    0.0744
+#&gt; 359:    92.1833   -5.8799   -2.1459   -4.2533   -0.9333    0.2197    0.0350    3.5822    1.0607    2.7903    0.1448    0.1696    1.4063    0.0364    1.0360    0.0744
+#&gt; 360:    92.1831   -5.8792   -2.1460   -4.2534   -0.9332    0.2196    0.0351    3.5787    1.0613    2.7914    0.1446    0.1691    1.4065    0.0364    1.0361    0.0744
+#&gt; 361:    92.1831   -5.8785   -2.1460   -4.2542   -0.9331    0.2196    0.0351    3.5771    1.0620    2.7969    0.1445    0.1688    1.4072    0.0364    1.0366    0.0744
+#&gt; 362:    92.1832   -5.8780   -2.1462   -4.2547   -0.9331    0.2195    0.0351    3.5750    1.0625    2.8017    0.1443    0.1683    1.4079    0.0363    1.0369    0.0744
+#&gt; 363:    92.1830   -5.8788   -2.1464   -4.2551   -0.9331    0.2192    0.0351    3.5785    1.0630    2.8057    0.1443    0.1677    1.4081    0.0363    1.0377    0.0743
+#&gt; 364:    92.1829   -5.8778   -2.1466   -4.2554   -0.9332    0.2193    0.0350    3.5747    1.0634    2.8092    0.1443    0.1672    1.4084    0.0363    1.0386    0.0743
+#&gt; 365:    92.1830   -5.8782   -2.1466   -4.2558   -0.9332    0.2192    0.0350    3.5771    1.0638    2.8135    0.1443    0.1667    1.4086    0.0363    1.0385    0.0743
+#&gt; 366:    92.1830   -5.8795   -2.1465   -4.2564   -0.9332    0.2190    0.0350    3.5838    1.0645    2.8190    0.1444    0.1661    1.4086    0.0363    1.0390    0.0743
+#&gt; 367:    92.1826   -5.8801   -2.1465   -4.2569   -0.9333    0.2191    0.0349    3.5867    1.0652    2.8232    0.1445    0.1657    1.4086    0.0362    1.0388    0.0744
+#&gt; 368:    92.1824   -5.8799   -2.1465   -4.2571   -0.9333    0.2193    0.0348    3.5859    1.0654    2.8252    0.1445    0.1653    1.4088    0.0362    1.0385    0.0744
+#&gt; 369:    92.1822   -5.8803   -2.1467   -4.2572   -0.9333    0.2193    0.0348    3.5846    1.0653    2.8261    0.1444    0.1648    1.4086    0.0362    1.0393    0.0744
+#&gt; 370:    92.1820   -5.8802   -2.1469   -4.2575   -0.9333    0.2195    0.0348    3.5822    1.0653    2.8273    0.1444    0.1645    1.4088    0.0362    1.0396    0.0744
+#&gt; 371:    92.1818   -5.8806   -2.1470   -4.2575   -0.9333    0.2198    0.0348    3.5819    1.0649    2.8277    0.1443    0.1642    1.4091    0.0362    1.0403    0.0743
+#&gt; 372:    92.1818   -5.8804   -2.1473   -4.2580   -0.9332    0.2202    0.0348    3.5795    1.0645    2.8300    0.1441    0.1640    1.4096    0.0362    1.0418    0.0743
+#&gt; 373:    92.1816   -5.8812   -2.1475   -4.2580   -0.9332    0.2203    0.0348    3.5816    1.0644    2.8298    0.1441    0.1639    1.4100    0.0362    1.0439    0.0741
+#&gt; 374:    92.1815   -5.8817   -2.1477   -4.2578   -0.9333    0.2203    0.0349    3.5819    1.0641    2.8282    0.1440    0.1641    1.4099    0.0362    1.0443    0.0741
+#&gt; 375:    92.1817   -5.8828   -2.1479   -4.2574   -0.9335    0.2204    0.0351    3.5853    1.0636    2.8267    0.1440    0.1642    1.4100    0.0362    1.0457    0.0740
+#&gt; 376:    92.1819   -5.8826   -2.1479   -4.2573   -0.9338    0.2206    0.0353    3.5843    1.0634    2.8246    0.1440    0.1643    1.4100    0.0362    1.0464    0.0740
+#&gt; 377:    92.1819   -5.8826   -2.1480   -4.2572   -0.9339    0.2206    0.0354    3.5819    1.0633    2.8225    0.1440    0.1644    1.4097    0.0363    1.0470    0.0739
+#&gt; 378:    92.1819   -5.8821   -2.1481   -4.2571   -0.9340    0.2205    0.0355    3.5777    1.0633    2.8206    0.1440    0.1644    1.4093    0.0363    1.0468    0.0739
+#&gt; 379:    92.1819   -5.8823   -2.1481   -4.2573   -0.9340    0.2205    0.0356    3.5746    1.0633    2.8201    0.1439    0.1645    1.4092    0.0363    1.0468    0.0739
+#&gt; 380:    92.1820   -5.8809   -2.1481   -4.2570   -0.9340    0.2205    0.0356    3.5665    1.0634    2.8178    0.1439    0.1647    1.4093    0.0363    1.0463    0.0739
+#&gt; 381:    92.1823   -5.8795   -2.1481   -4.2568   -0.9338    0.2204    0.0357    3.5586    1.0635    2.8170    0.1439    0.1648    1.4095    0.0363    1.0456    0.0740
+#&gt; 382:    92.1828   -5.8783   -2.1481   -4.2571   -0.9339    0.2203    0.0357    3.5514    1.0636    2.8183    0.1441    0.1649    1.4093    0.0363    1.0462    0.0740
+#&gt; 383:    92.1827   -5.8773   -2.1480   -4.2569   -0.9340    0.2202    0.0357    3.5459    1.0633    2.8173    0.1441    0.1650    1.4094    0.0363    1.0465    0.0739
+#&gt; 384:    92.1825   -5.8763   -2.1482   -4.2568   -0.9341    0.2202    0.0357    3.5397    1.0636    2.8165    0.1441    0.1650    1.4094    0.0363    1.0467    0.0739
+#&gt; 385:    92.1822   -5.8761   -2.1483   -4.2567   -0.9341    0.2201    0.0357    3.5363    1.0641    2.8160    0.1440    0.1650    1.4094    0.0363    1.0469    0.0739
+#&gt; 386:    92.1820   -5.8763   -2.1485   -4.2567   -0.9342    0.2200    0.0356    3.5365    1.0645    2.8157    0.1441    0.1648    1.4092    0.0364    1.0478    0.0738
+#&gt; 387:    92.1819   -5.8767   -2.1486   -4.2567   -0.9343    0.2201    0.0358    3.5383    1.0652    2.8156    0.1442    0.1646    1.4090    0.0364    1.0480    0.0738
+#&gt; 388:    92.1818   -5.8772   -2.1488   -4.2569   -0.9344    0.2202    0.0359    3.5400    1.0656    2.8153    0.1443    0.1645    1.4086    0.0364    1.0480    0.0738
+#&gt; 389:    92.1816   -5.8765   -2.1489   -4.2569   -0.9344    0.2203    0.0359    3.5369    1.0660    2.8145    0.1443    0.1644    1.4083    0.0364    1.0476    0.0738
+#&gt; 390:    92.1815   -5.8761   -2.1490   -4.2569   -0.9343    0.2205    0.0359    3.5349    1.0664    2.8136    0.1444    0.1644    1.4080    0.0364    1.0472    0.0738
+#&gt; 391:    92.1814   -5.8749   -2.1492   -4.2572   -0.9343    0.2207    0.0359    3.5313    1.0668    2.8153    0.1445    0.1643    1.4077    0.0364    1.0465    0.0739
+#&gt; 392:    92.1812   -5.8733   -2.1494   -4.2571   -0.9344    0.2210    0.0359    3.5248    1.0674    2.8141    0.1445    0.1642    1.4073    0.0364    1.0457    0.0739
+#&gt; 393:    92.1811   -5.8727   -2.1497   -4.2570   -0.9345    0.2212    0.0359    3.5226    1.0679    2.8127    0.1445    0.1642    1.4071    0.0364    1.0457    0.0739
+#&gt; 394:    92.1811   -5.8712   -2.1500   -4.2572   -0.9346    0.2214    0.0360    3.5174    1.0684    2.8132    0.1446    0.1641    1.4067    0.0364    1.0456    0.0739
+#&gt; 395:    92.1810   -5.8714   -2.1501   -4.2579   -0.9348    0.2217    0.0361    3.5182    1.0685    2.8171    0.1445    0.1641    1.4065    0.0364    1.0452    0.0740
+#&gt; 396:    92.1809   -5.8711   -2.1501   -4.2582   -0.9350    0.2220    0.0363    3.5161    1.0681    2.8184    0.1446    0.1639    1.4063    0.0364    1.0447    0.0740
+#&gt; 397:    92.1809   -5.8707   -2.1503   -4.2585   -0.9352    0.2222    0.0363    3.5119    1.0684    2.8197    0.1446    0.1637    1.4065    0.0364    1.0442    0.0740
+#&gt; 398:    92.1808   -5.8703   -2.1503   -4.2591   -0.9354    0.2224    0.0363    3.5084    1.0689    2.8218    0.1447    0.1634    1.4064    0.0364    1.0445    0.0740
+#&gt; 399:    92.1806   -5.8711   -2.1503   -4.2596   -0.9355    0.2226    0.0364    3.5114    1.0691    2.8234    0.1447    0.1629    1.4061    0.0364    1.0447    0.0740
+#&gt; 400:    92.1806   -5.8713   -2.1503   -4.2601   -0.9356    0.2229    0.0366    3.5113    1.0695    2.8253    0.1448    0.1626    1.4059    0.0364    1.0440    0.0740
+#&gt; 401:    92.1804   -5.8709   -2.1503   -4.2604   -0.9357    0.2231    0.0367    3.5089    1.0696    2.8266    0.1448    0.1624    1.4058    0.0364    1.0440    0.0740
+#&gt; 402:    92.1801   -5.8705   -2.1502   -4.2606   -0.9358    0.2232    0.0368    3.5071    1.0695    2.8268    0.1447    0.1621    1.4060    0.0364    1.0447    0.0740
+#&gt; 403:    92.1800   -5.8708   -2.1503   -4.2610   -0.9359    0.2234    0.0369    3.5083    1.0697    2.8271    0.1447    0.1618    1.4056    0.0365    1.0448    0.0739
+#&gt; 404:    92.1798   -5.8709   -2.1505   -4.2612   -0.9360    0.2237    0.0369    3.5085    1.0699    2.8262    0.1447    0.1616    1.4055    0.0365    1.0449    0.0739
+#&gt; 405:    92.1795   -5.8705   -2.1503   -4.2613   -0.9360    0.2239    0.0370    3.5059    1.0698    2.8254    0.1448    0.1615    1.4052    0.0364    1.0449    0.0739
+#&gt; 406:    92.1792   -5.8710   -2.1504   -4.2613   -0.9359    0.2243    0.0371    3.5069    1.0696    2.8244    0.1449    0.1614    1.4049    0.0364    1.0447    0.0739
+#&gt; 407:    92.1788   -5.8718   -2.1505   -4.2614   -0.9359    0.2243    0.0372    3.5092    1.0697    2.8234    0.1449    0.1614    1.4046    0.0364    1.0448    0.0739
+#&gt; 408:    92.1786   -5.8729   -2.1505   -4.2615   -0.9360    0.2245    0.0373    3.5140    1.0699    2.8223    0.1449    0.1612    1.4045    0.0365    1.0455    0.0739
+#&gt; 409:    92.1784   -5.8740   -2.1506   -4.2615   -0.9360    0.2246    0.0373    3.5192    1.0700    2.8213    0.1450    0.1610    1.4042    0.0365    1.0462    0.0738
+#&gt; 410:    92.1782   -5.8753   -2.1505   -4.2616   -0.9361    0.2246    0.0373    3.5248    1.0705    2.8205    0.1450    0.1607    1.4040    0.0365    1.0465    0.0738
+#&gt; 411:    92.1780   -5.8758   -2.1503   -4.2619   -0.9362    0.2247    0.0374    3.5249    1.0707    2.8204    0.1449    0.1605    1.4043    0.0364    1.0467    0.0738
+#&gt; 412:    92.1778   -5.8759   -2.1502   -4.2621   -0.9363    0.2248    0.0374    3.5238    1.0707    2.8209    0.1448    0.1602    1.4045    0.0364    1.0466    0.0738
+#&gt; 413:    92.1779   -5.8759   -2.1501   -4.2623   -0.9364    0.2249    0.0374    3.5225    1.0711    2.8213    0.1448    0.1600    1.4043    0.0364    1.0460    0.0738
+#&gt; 414:    92.1781   -5.8754   -2.1500   -4.2622   -0.9364    0.2250    0.0374    3.5205    1.0710    2.8203    0.1448    0.1599    1.4047    0.0364    1.0456    0.0738
+#&gt; 415:    92.1781   -5.8750   -2.1499   -4.2623   -0.9363    0.2251    0.0374    3.5187    1.0709    2.8190    0.1448    0.1598    1.4050    0.0364    1.0448    0.0738
+#&gt; 416:    92.1783   -5.8747   -2.1500   -4.2624   -0.9363    0.2252    0.0375    3.5216    1.0708    2.8187    0.1448    0.1598    1.4052    0.0364    1.0440    0.0738
+#&gt; 417:    92.1783   -5.8738   -2.1500   -4.2625   -0.9362    0.2252    0.0375    3.5219    1.0712    2.8188    0.1447    0.1597    1.4055    0.0364    1.0438    0.0739
+#&gt; 418:    92.1784   -5.8735   -2.1501   -4.2627   -0.9360    0.2254    0.0375    3.5222    1.0715    2.8193    0.1448    0.1596    1.4057    0.0364    1.0438    0.0739
+#&gt; 419:    92.1784   -5.8725   -2.1501   -4.2629   -0.9358    0.2255    0.0376    3.5190    1.0719    2.8202    0.1447    0.1594    1.4060    0.0364    1.0436    0.0739
+#&gt; 420:    92.1785   -5.8713   -2.1500   -4.2633   -0.9357    0.2256    0.0377    3.5152    1.0723    2.8213    0.1447    0.1592    1.4065    0.0364    1.0439    0.0738
+#&gt; 421:    92.1786   -5.8697   -2.1500   -4.2639   -0.9355    0.2257    0.0377    3.5100    1.0728    2.8232    0.1448    0.1592    1.4068    0.0364    1.0436    0.0739
+#&gt; 422:    92.1787   -5.8683   -2.1502   -4.2645   -0.9352    0.2260    0.0377    3.5051    1.0732    2.8258    0.1448    0.1592    1.4069    0.0364    1.0432    0.0739
+#&gt; 423:    92.1788   -5.8667   -2.1504   -4.2653   -0.9350    0.2262    0.0377    3.4992    1.0736    2.8292    0.1448    0.1592    1.4071    0.0364    1.0435    0.0738
+#&gt; 424:    92.1789   -5.8659   -2.1505   -4.2661   -0.9349    0.2263    0.0378    3.4972    1.0739    2.8324    0.1448    0.1591    1.4069    0.0364    1.0439    0.0738
+#&gt; 425:    92.1788   -5.8649   -2.1505   -4.2669   -0.9349    0.2263    0.0378    3.4947    1.0740    2.8358    0.1448    0.1590    1.4071    0.0364    1.0438    0.0738
+#&gt; 426:    92.1788   -5.8643   -2.1506   -4.2677   -0.9348    0.2265    0.0377    3.4922    1.0743    2.8389    0.1448    0.1589    1.4070    0.0365    1.0437    0.0738
+#&gt; 427:    92.1785   -5.8637   -2.1506   -4.2683   -0.9347    0.2266    0.0378    3.4895    1.0747    2.8425    0.1448    0.1588    1.4068    0.0365    1.0434    0.0738
+#&gt; 428:    92.1783   -5.8627   -2.1507   -4.2689   -0.9347    0.2268    0.0378    3.4870    1.0749    2.8464    0.1447    0.1586    1.4070    0.0365    1.0434    0.0738
+#&gt; 429:    92.1782   -5.8617   -2.1509   -4.2696   -0.9347    0.2271    0.0379    3.4845    1.0752    2.8500    0.1446    0.1584    1.4072    0.0365    1.0439    0.0738
+#&gt; 430:    92.1783   -5.8608   -2.1510   -4.2701   -0.9347    0.2274    0.0379    3.4830    1.0755    2.8526    0.1446    0.1582    1.4075    0.0365    1.0443    0.0738
+#&gt; 431:    92.1784   -5.8606   -2.1511   -4.2704   -0.9348    0.2275    0.0379    3.4825    1.0757    2.8532    0.1446    0.1580    1.4076    0.0365    1.0439    0.0738
+#&gt; 432:    92.1784   -5.8610   -2.1512   -4.2707   -0.9350    0.2275    0.0378    3.4833    1.0761    2.8539    0.1447    0.1578    1.4079    0.0365    1.0443    0.0738
+#&gt; 433:    92.1783   -5.8618   -2.1512   -4.2711   -0.9351    0.2276    0.0378    3.4867    1.0768    2.8554    0.1447    0.1577    1.4078    0.0366    1.0440    0.0738
+#&gt; 434:    92.1784   -5.8612   -2.1513   -4.2714   -0.9350    0.2278    0.0378    3.4858    1.0774    2.8564    0.1448    0.1577    1.4074    0.0365    1.0430    0.0739
+#&gt; 435:    92.1783   -5.8610   -2.1513   -4.2718   -0.9348    0.2279    0.0377    3.4874    1.0779    2.8581    0.1448    0.1576    1.4072    0.0366    1.0423    0.0739
+#&gt; 436:    92.1781   -5.8610   -2.1513   -4.2721   -0.9346    0.2280    0.0376    3.4879    1.0789    2.8598    0.1448    0.1575    1.4070    0.0365    1.0417    0.0739
+#&gt; 437:    92.1781   -5.8610   -2.1511   -4.2726   -0.9345    0.2279    0.0376    3.4886    1.0794    2.8618    0.1449    0.1574    1.4071    0.0365    1.0417    0.0739
+#&gt; 438:    92.1781   -5.8609   -2.1510   -4.2730   -0.9345    0.2280    0.0375    3.4893    1.0797    2.8641    0.1449    0.1573    1.4075    0.0365    1.0420    0.0739
+#&gt; 439:    92.1781   -5.8608   -2.1509   -4.2734   -0.9343    0.2280    0.0374    3.4894    1.0803    2.8659    0.1449    0.1573    1.4076    0.0365    1.0421    0.0739
+#&gt; 440:    92.1780   -5.8603   -2.1510   -4.2737   -0.9343    0.2279    0.0374    3.4885    1.0808    2.8674    0.1448    0.1573    1.4079    0.0365    1.0430    0.0738
+#&gt; 441:    92.1779   -5.8600   -2.1510   -4.2738   -0.9342    0.2279    0.0373    3.4899    1.0811    2.8686    0.1447    0.1574    1.4086    0.0365    1.0445    0.0737
+#&gt; 442:    92.1779   -5.8600   -2.1509   -4.2737   -0.9343    0.2278    0.0372    3.4925    1.0814    2.8691    0.1447    0.1575    1.4088    0.0365    1.0451    0.0737
+#&gt; 443:    92.1780   -5.8598   -2.1509   -4.2739   -0.9341    0.2278    0.0372    3.4949    1.0819    2.8705    0.1447    0.1576    1.4092    0.0365    1.0453    0.0737
+#&gt; 444:    92.1779   -5.8593   -2.1510   -4.2742   -0.9340    0.2277    0.0371    3.4951    1.0824    2.8717    0.1447    0.1576    1.4096    0.0365    1.0455    0.0737
+#&gt; 445:    92.1777   -5.8593   -2.1511   -4.2744   -0.9338    0.2275    0.0371    3.4999    1.0828    2.8729    0.1448    0.1576    1.4100    0.0365    1.0461    0.0736
+#&gt; 446:    92.1774   -5.8600   -2.1511   -4.2748   -0.9338    0.2274    0.0372    3.5051    1.0837    2.8747    0.1449    0.1576    1.4099    0.0365    1.0464    0.0736
+#&gt; 447:    92.1771   -5.8604   -2.1512   -4.2751   -0.9338    0.2273    0.0373    3.5087    1.0844    2.8758    0.1449    0.1575    1.4097    0.0365    1.0467    0.0736
+#&gt; 448:    92.1769   -5.8607   -2.1513   -4.2756   -0.9336    0.2272    0.0374    3.5124    1.0849    2.8778    0.1449    0.1575    1.4098    0.0365    1.0470    0.0735
+#&gt; 449:    92.1768   -5.8611   -2.1515   -4.2759   -0.9337    0.2270    0.0374    3.5165    1.0853    2.8789    0.1449    0.1575    1.4101    0.0365    1.0473    0.0735
+#&gt; 450:    92.1766   -5.8611   -2.1515   -4.2762   -0.9337    0.2269    0.0374    3.5158    1.0859    2.8800    0.1448    0.1576    1.4102    0.0365    1.0474    0.0735
+#&gt; 451:    92.1762   -5.8615   -2.1514   -4.2765   -0.9337    0.2267    0.0374    3.5202    1.0866    2.8812    0.1447    0.1576    1.4104    0.0365    1.0477    0.0735
+#&gt; 452:    92.1761   -5.8622   -2.1514   -4.2767   -0.9337    0.2264    0.0374    3.5232    1.0871    2.8824    0.1447    0.1576    1.4103    0.0365    1.0479    0.0734
+#&gt; 453:    92.1760   -5.8621   -2.1514   -4.2776   -0.9336    0.2261    0.0373    3.5247    1.0878    2.8901    0.1447    0.1576    1.4103    0.0365    1.0480    0.0734
+#&gt; 454:    92.1759   -5.8611   -2.1513   -4.2781   -0.9335    0.2259    0.0373    3.5206    1.0882    2.8939    0.1448    0.1575    1.4104    0.0365    1.0483    0.0734
+#&gt; 455:    92.1758   -5.8599   -2.1513   -4.2788   -0.9336    0.2258    0.0372    3.5151    1.0887    2.9010    0.1448    0.1575    1.4104    0.0365    1.0485    0.0734
+#&gt; 456:    92.1760   -5.8583   -2.1512   -4.2797   -0.9335    0.2258    0.0372    3.5086    1.0892    2.9081    0.1448    0.1574    1.4105    0.0365    1.0483    0.0734
+#&gt; 457:    92.1761   -5.8575   -2.1513   -4.2804   -0.9334    0.2257    0.0371    3.5041    1.0896    2.9144    0.1449    0.1574    1.4103    0.0365    1.0480    0.0733
+#&gt; 458:    92.1763   -5.8569   -2.1512   -4.2813   -0.9334    0.2257    0.0370    3.5014    1.0901    2.9227    0.1449    0.1574    1.4102    0.0365    1.0476    0.0734
+#&gt; 459:    92.1763   -5.8565   -2.1512   -4.2816   -0.9334    0.2256    0.0370    3.4991    1.0908    2.9248    0.1449    0.1573    1.4100    0.0365    1.0471    0.0734
+#&gt; 460:    92.1764   -5.8557   -2.1513   -4.2818   -0.9333    0.2256    0.0370    3.4957    1.0915    2.9258    0.1449    0.1572    1.4097    0.0365    1.0466    0.0734
+#&gt; 461:    92.1765   -5.8550   -2.1515   -4.2822   -0.9333    0.2255    0.0370    3.4923    1.0921    2.9296    0.1449    0.1571    1.4097    0.0365    1.0464    0.0734
+#&gt; 462:    92.1764   -5.8546   -2.1517   -4.2824   -0.9333    0.2256    0.0370    3.4897    1.0925    2.9319    0.1448    0.1569    1.4093    0.0365    1.0463    0.0733
+#&gt; 463:    92.1763   -5.8539   -2.1519   -4.2830   -0.9333    0.2256    0.0369    3.4863    1.0928    2.9373    0.1449    0.1568    1.4093    0.0366    1.0463    0.0733
+#&gt; 464:    92.1763   -5.8532   -2.1520   -4.2833   -0.9333    0.2257    0.0370    3.4825    1.0933    2.9405    0.1448    0.1567    1.4093    0.0366    1.0462    0.0733
+#&gt; 465:    92.1762   -5.8528   -2.1521   -4.2837   -0.9335    0.2257    0.0370    3.4795    1.0938    2.9433    0.1448    0.1567    1.4093    0.0366    1.0464    0.0733
+#&gt; 466:    92.1762   -5.8530   -2.1523   -4.2840   -0.9336    0.2256    0.0370    3.4780    1.0943    2.9462    0.1448    0.1566    1.4089    0.0366    1.0466    0.0733
+#&gt; 467:    92.1764   -5.8529   -2.1524   -4.2846   -0.9337    0.2256    0.0371    3.4751    1.0948    2.9506    0.1447    0.1565    1.4087    0.0366    1.0465    0.0733
+#&gt; 468:    92.1765   -5.8531   -2.1525   -4.2849   -0.9337    0.2255    0.0371    3.4734    1.0952    2.9523    0.1447    0.1563    1.4087    0.0366    1.0465    0.0733
+#&gt; 469:    92.1767   -5.8533   -2.1525   -4.2853   -0.9337    0.2254    0.0372    3.4754    1.0958    2.9540    0.1447    0.1561    1.4090    0.0366    1.0472    0.0733
+#&gt; 470:    92.1767   -5.8536   -2.1525   -4.2858   -0.9338    0.2254    0.0373    3.4780    1.0965    2.9571    0.1448    0.1559    1.4094    0.0366    1.0478    0.0732
+#&gt; 471:    92.1767   -5.8540   -2.1525   -4.2864   -0.9338    0.2254    0.0373    3.4812    1.0970    2.9606    0.1447    0.1558    1.4099    0.0366    1.0482    0.0732
+#&gt; 472:    92.1766   -5.8547   -2.1526   -4.2871   -0.9339    0.2255    0.0373    3.4844    1.0975    2.9645    0.1446    0.1556    1.4101    0.0366    1.0482    0.0732
+#&gt; 473:    92.1764   -5.8549   -2.1527   -4.2875   -0.9339    0.2255    0.0373    3.4848    1.0977    2.9672    0.1446    0.1554    1.4100    0.0366    1.0482    0.0732
+#&gt; 474:    92.1762   -5.8553   -2.1528   -4.2880   -0.9338    0.2256    0.0373    3.4855    1.0979    2.9700    0.1445    0.1552    1.4104    0.0366    1.0484    0.0732
+#&gt; 475:    92.1763   -5.8561   -2.1530   -4.2884   -0.9338    0.2256    0.0374    3.4885    1.0981    2.9726    0.1445    0.1549    1.4103    0.0366    1.0484    0.0731
+#&gt; 476:    92.1763   -5.8564   -2.1530   -4.2885   -0.9339    0.2258    0.0374    3.4914    1.0983    2.9734    0.1444    0.1548    1.4106    0.0366    1.0484    0.0731
+#&gt; 477:    92.1763   -5.8565   -2.1531   -4.2888   -0.9340    0.2259    0.0373    3.4941    1.0985    2.9755    0.1443    0.1546    1.4108    0.0366    1.0487    0.0731
+#&gt; 478:    92.1763   -5.8576   -2.1532   -4.2889   -0.9340    0.2258    0.0373    3.4995    1.0987    2.9772    0.1442    0.1544    1.4111    0.0366    1.0490    0.0731
+#&gt; 479:    92.1765   -5.8593   -2.1533   -4.2890   -0.9342    0.2259    0.0372    3.5086    1.0990    2.9787    0.1442    0.1544    1.4113    0.0366    1.0495    0.0731
+#&gt; 480:    92.1766   -5.8613   -2.1535   -4.2892   -0.9342    0.2260    0.0372    3.5233    1.0991    2.9800    0.1442    0.1543    1.4116    0.0367    1.0496    0.0730
+#&gt; 481:    92.1768   -5.8624   -2.1536   -4.2894   -0.9341    0.2260    0.0371    3.5309    1.0993    2.9820    0.1442    0.1542    1.4117    0.0367    1.0497    0.0730
+#&gt; 482:    92.1766   -5.8634   -2.1537   -4.2896   -0.9341    0.2260    0.0371    3.5393    1.0995    2.9833    0.1443    0.1542    1.4116    0.0367    1.0496    0.0730
+#&gt; 483:    92.1762   -5.8645   -2.1538   -4.2896   -0.9340    0.2260    0.0372    3.5472    1.0997    2.9840    0.1443    0.1542    1.4115    0.0367    1.0498    0.0730
+#&gt; 484:    92.1757   -5.8648   -2.1538   -4.2896   -0.9340    0.2261    0.0373    3.5508    1.0998    2.9843    0.1445    0.1542    1.4115    0.0366    1.0498    0.0730
+#&gt; 485:    92.1752   -5.8648   -2.1539   -4.2896   -0.9340    0.2262    0.0374    3.5516    1.1000    2.9846    0.1445    0.1542    1.4115    0.0366    1.0497    0.0730
+#&gt; 486:    92.1747   -5.8649   -2.1539   -4.2897   -0.9340    0.2262    0.0375    3.5517    1.1003    2.9856    0.1446    0.1541    1.4113    0.0366    1.0498    0.0730
+#&gt; 487:    92.1743   -5.8649   -2.1539   -4.2896   -0.9340    0.2262    0.0376    3.5502    1.1006    2.9856    0.1447    0.1539    1.4110    0.0367    1.0498    0.0730
+#&gt; 488:    92.1739   -5.8645   -2.1540   -4.2893   -0.9340    0.2261    0.0377    3.5475    1.1008    2.9848    0.1447    0.1537    1.4106    0.0367    1.0497    0.0729
+#&gt; 489:    92.1736   -5.8640   -2.1539   -4.2892   -0.9340    0.2260    0.0376    3.5445    1.1011    2.9844    0.1448    0.1536    1.4105    0.0367    1.0496    0.0729
+#&gt; 490:    92.1736   -5.8631   -2.1539   -4.2889   -0.9340    0.2260    0.0376    3.5402    1.1014    2.9835    0.1448    0.1534    1.4103    0.0366    1.0496    0.0729
+#&gt; 491:    92.1735   -5.8617   -2.1539   -4.2887   -0.9339    0.2260    0.0375    3.5343    1.1016    2.9825    0.1449    0.1532    1.4103    0.0366    1.0497    0.0729
+#&gt; 492:    92.1736   -5.8609   -2.1539   -4.2884   -0.9339    0.2259    0.0375    3.5298    1.1017    2.9816    0.1449    0.1530    1.4101    0.0367    1.0499    0.0729
+#&gt; 493:    92.1737   -5.8605   -2.1539   -4.2882   -0.9339    0.2260    0.0375    3.5266    1.1018    2.9807    0.1450    0.1529    1.4098    0.0367    1.0496    0.0729
+#&gt; 494:    92.1739   -5.8609   -2.1539   -4.2881   -0.9340    0.2261    0.0375    3.5273    1.1018    2.9802    0.1450    0.1528    1.4097    0.0367    1.0495    0.0729
+#&gt; 495:    92.1741   -5.8614   -2.1540   -4.2880   -0.9340    0.2262    0.0376    3.5290    1.1019    2.9797    0.1450    0.1526    1.4096    0.0367    1.0492    0.0729
+#&gt; 496:    92.1742   -5.8623   -2.1540   -4.2879   -0.9341    0.2262    0.0376    3.5348    1.1020    2.9791    0.1449    0.1525    1.4096    0.0367    1.0491    0.0729
+#&gt; 497:    92.1742   -5.8634   -2.1541   -4.2879   -0.9341    0.2264    0.0377    3.5402    1.1020    2.9789    0.1449    0.1524    1.4097    0.0367    1.0493    0.0729
+#&gt; 498:    92.1744   -5.8637   -2.1543   -4.2879   -0.9341    0.2266    0.0377    3.5406    1.1019    2.9787    0.1449    0.1524    1.4096    0.0367    1.0496    0.0729
+#&gt; 499:    92.1744   -5.8635   -2.1544   -4.2880   -0.9341    0.2268    0.0376    3.5400    1.1019    2.9789    0.1450    0.1523    1.4095    0.0367    1.0500    0.0728
+#&gt; 500:    92.1744   -5.8628   -2.1545   -4.2882   -0.9341    0.2270    0.0377    3.5381    1.1020    2.9795    0.1450    0.1522    1.4096    0.0367    1.0503    0.0728</div><div class='output co'>#&gt; <span class='message'>Calculating covariance matrix</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='input'><span class='va'>f_nlmixr_dfop_sfo_focei_obs_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_tc</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span>, est <span class='op'>=</span> <span class='st'>"focei"</span>,
+  error_model <span class='op'>=</span> <span class='st'>"obs_tc"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"
+#&gt; <span style='font-weight: bold;'>Key:</span> U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
+#&gt; F: Forward difference gradient approximation
+#&gt; C: Central difference gradient approximation
+#&gt; M: Mixed forward and central difference gradient approximation
+#&gt; Unscaled parameters for Omegas=chol(solve(omega));
+#&gt; Diagonals are transformed, as specified by foceiControl(diagXform=)
+#&gt; |-----+---------------+-----------+-----------+-----------+-----------|
+#&gt; |    #| Objective Fun |  parent_0 |  log_k_A1 |f_parent_qlogis |    log_k1 |
+#&gt; |.....................|    log_k2 |  g_qlogis |sigma_low_parent |rsd_high_parent |
+#&gt; |.....................|sigma_low_A1 |rsd_high_A1 |        o1 |        o2 |
+#&gt; |.....................|        o3 |        o4 |        o5 |        o6 |
+#&gt; |<span style='font-weight: bold;'>    1</span>|     495.48573 |     1.000 |    -1.000 |   -0.9104 |   -0.9376 |
+#&gt; |.....................|   -0.9875 |   -0.8823 |   -0.8746 |   -0.8907 |
+#&gt; |.....................|   -0.8746 |   -0.8907 |   -0.8767 |   -0.8731 |
+#&gt; |.....................|   -0.8673 |   -0.8720 |   -0.8739 |   -0.8666 |
+#&gt; |    U|     495.48573 |     91.00 |    -5.200 |   -0.8900 |    -2.200 |
+#&gt; |.....................|    -4.600 |    0.4600 |    0.8300 |   0.05800 |
+#&gt; |.....................|    0.8300 |   0.05800 |    0.7311 |    0.9036 |
+#&gt; |.....................|     1.183 |    0.9554 |    0.8633 |     1.214 |
+#&gt; |    X|<span style='font-weight: bold;'>     495.48573</span> |     91.00 |  0.005517 |    0.2911 |    0.1108 |
+#&gt; |.....................|   0.01005 |    0.6130 |    0.8300 |   0.05800 |
+#&gt; |.....................|    0.8300 |   0.05800 |    0.7311 |    0.9036 |
+#&gt; |.....................|     1.183 |    0.9554 |    0.8633 |     1.214 |
+#&gt; |    G|    Gill Diff. |   -0.9648 |     2.223 |   -0.3153 |  -0.01817 |
+#&gt; |.....................|   -0.3350 |    0.6789 |    -23.42 |    -17.64 |
+#&gt; |.....................|    -5.440 |    -1.950 |    0.9642 |     9.851 |
+#&gt; |.....................|    -11.94 |    -1.319 |     8.578 |    -12.45 |
+#&gt; |<span style='font-weight: bold;'>    2</span>|     481.75012 |     1.026 |    -1.060 |   -0.9019 |   -0.9371 |
+#&gt; |.....................|   -0.9785 |   -0.9007 |   -0.2420 |   -0.4142 |
+#&gt; |.....................|   -0.7277 |   -0.8380 |   -0.9027 |    -1.139 |
+#&gt; |.....................|   -0.5448 |   -0.8364 |    -1.106 |   -0.5303 |
+#&gt; |    U|     481.75012 |     93.37 |    -5.260 |   -0.8824 |    -2.200 |
+#&gt; |.....................|    -4.591 |    0.4516 |     1.093 |   0.07182 |
+#&gt; |.....................|    0.8910 |   0.05953 |    0.7121 |    0.6631 |
+#&gt; |.....................|     1.565 |    0.9895 |    0.6633 |     1.623 |
+#&gt; |    X|<span style='font-weight: bold;'>     481.75012</span> |     93.37 |  0.005195 |    0.2927 |    0.1109 |
+#&gt; |.....................|   0.01014 |    0.6110 |     1.093 |   0.07182 |
+#&gt; |.....................|    0.8910 |   0.05953 |    0.7121 |    0.6631 |
+#&gt; |.....................|     1.565 |    0.9895 |    0.6633 |     1.623 |
+#&gt; |    F| Forward Diff. |     152.5 |     1.317 |     3.315 |   -0.1772 |
+#&gt; |.....................|    0.3391 |    0.1426 |    -4.513 |     6.696 |
+#&gt; |.....................|     1.211 |    0.7988 |    0.6299 |    -5.324 |
+#&gt; |.....................|  0.009964 |     3.044 |    -5.727 |    -6.694 |
+#&gt; |<span style='font-weight: bold;'>    3</span>|     3004.9713 |    0.2745 |    -1.093 |   -0.9147 |   -0.9360 |
+#&gt; |.....................|   -0.9762 |   -0.9095 |   0.05941 |   -0.2377 |
+#&gt; |.....................|   -0.6690 |   -0.8188 |   -0.9174 |    -1.204 |
+#&gt; |.....................|   -0.4027 |   -0.8359 |    -1.205 |   -0.3486 |
+#&gt; |    U|     3004.9713 |     24.98 |    -5.293 |   -0.8938 |    -2.198 |
+#&gt; |.....................|    -4.589 |    0.4475 |     1.218 |   0.07694 |
+#&gt; |.....................|    0.9154 |   0.06008 |    0.7014 |    0.6043 |
+#&gt; |.....................|     1.733 |    0.9899 |    0.5774 |     1.843 |
+#&gt; |    X|<span style='font-weight: bold;'>     3004.9713</span> |     24.98 |  0.005026 |    0.2903 |    0.1110 |
+#&gt; |.....................|   0.01017 |    0.6100 |     1.218 |   0.07694 |
+#&gt; |.....................|    0.9154 |   0.06008 |    0.7014 |    0.6043 |
+#&gt; |.....................|     1.733 |    0.9899 |    0.5774 |     1.843 |
+#&gt; |<span style='font-weight: bold;'>    4</span>|     491.68825 |    0.9393 |    -1.061 |   -0.9038 |   -0.9370 |
+#&gt; |.....................|   -0.9787 |   -0.9008 |   -0.2394 |   -0.4180 |
+#&gt; |.....................|   -0.7284 |   -0.8385 |   -0.9031 |    -1.136 |
+#&gt; |.....................|   -0.5448 |   -0.8381 |    -1.102 |   -0.5265 |
+#&gt; |    U|     491.68825 |     85.47 |    -5.261 |   -0.8841 |    -2.199 |
+#&gt; |.....................|    -4.591 |    0.4515 |     1.094 |   0.07171 |
+#&gt; |.....................|    0.8907 |   0.05951 |    0.7118 |    0.6659 |
+#&gt; |.....................|     1.565 |    0.9878 |    0.6661 |     1.627 |
+#&gt; |    X|<span style='font-weight: bold;'>     491.68825</span> |     85.47 |  0.005191 |    0.2923 |    0.1109 |
+#&gt; |.....................|   0.01014 |    0.6110 |     1.094 |   0.07171 |
+#&gt; |.....................|    0.8907 |   0.05951 |    0.7118 |    0.6659 |
+#&gt; |.....................|     1.565 |    0.9878 |    0.6661 |     1.627 |
+#&gt; |<span style='font-weight: bold;'>    5</span>|     479.72282 |     1.001 |    -1.060 |   -0.9024 |   -0.9371 |
+#&gt; |.....................|   -0.9785 |   -0.9007 |   -0.2413 |   -0.4153 |
+#&gt; |.....................|   -0.7279 |   -0.8381 |   -0.9028 |    -1.138 |
+#&gt; |.....................|   -0.5448 |   -0.8369 |    -1.105 |   -0.5292 |
+#&gt; |    U|     479.72282 |     91.11 |    -5.260 |   -0.8829 |    -2.199 |
+#&gt; |.....................|    -4.591 |    0.4516 |     1.093 |   0.07179 |
+#&gt; |.....................|    0.8909 |   0.05952 |    0.7120 |    0.6639 |
+#&gt; |.....................|     1.565 |    0.9890 |    0.6641 |     1.624 |
+#&gt; |    X|<span style='font-weight: bold;'>     479.72282</span> |     91.11 |  0.005194 |    0.2926 |    0.1109 |
+#&gt; |.....................|   0.01014 |    0.6110 |     1.093 |   0.07179 |
+#&gt; |.....................|    0.8909 |   0.05952 |    0.7120 |    0.6639 |
+#&gt; |.....................|     1.565 |    0.9890 |    0.6641 |     1.624 |
+#&gt; |    F| Forward Diff. |     6.589 |     1.222 |    0.9137 |    0.1103 |
+#&gt; |.....................|    0.3993 |    0.5206 |    -3.904 |     6.654 |
+#&gt; |.....................|    0.9090 |     1.134 |    -1.839 |    -6.108 |
+#&gt; |.....................|     1.622 |     4.007 |    -4.921 |    -6.374 |
+#&gt; |<span style='font-weight: bold;'>    6</span>|     479.56384 |    0.9950 |    -1.061 |   -0.9037 |   -0.9373 |
+#&gt; |.....................|   -0.9792 |   -0.9012 |   -0.2438 |   -0.4298 |
+#&gt; |.....................|   -0.7309 |   -0.8403 |   -0.9001 |    -1.126 |
+#&gt; |.....................|   -0.5509 |   -0.8426 |    -1.095 |   -0.5241 |
+#&gt; |    U|     479.56384 |     90.55 |    -5.261 |   -0.8840 |    -2.200 |
+#&gt; |.....................|    -4.592 |    0.4513 |     1.092 |   0.07137 |
+#&gt; |.....................|    0.8897 |   0.05946 |    0.7140 |    0.6748 |
+#&gt; |.....................|     1.558 |    0.9836 |    0.6729 |     1.630 |
+#&gt; |    X|<span style='font-weight: bold;'>     479.56384</span> |     90.55 |  0.005189 |    0.2923 |    0.1108 |
+#&gt; |.....................|   0.01014 |    0.6110 |     1.092 |   0.07137 |
+#&gt; |.....................|    0.8897 |   0.05946 |    0.7140 |    0.6748 |
+#&gt; |.....................|     1.558 |    0.9836 |    0.6729 |     1.630 |
+#&gt; |    F| Forward Diff. |    -31.71 |     1.225 |    0.1963 |    0.1681 |
+#&gt; |.....................|    0.4113 |    0.6853 |    -4.208 |     6.141 |
+#&gt; |.....................|    0.7033 |     1.163 |    -2.029 |    -4.071 |
+#&gt; |.....................|    -1.106 |     3.494 |    -3.921 |    -6.098 |
+#&gt; |<span style='font-weight: bold;'>    7</span>|     479.23599 |     1.003 |    -1.063 |   -0.9048 |   -0.9375 |
+#&gt; |.....................|   -0.9799 |   -0.9023 |   -0.2352 |   -0.4403 |
+#&gt; |.....................|   -0.7320 |   -0.8422 |   -0.8974 |    -1.117 |
+#&gt; |.....................|   -0.5472 |   -0.8484 |    -1.086 |   -0.5115 |
+#&gt; |    U|     479.23599 |     91.29 |    -5.263 |   -0.8850 |    -2.200 |
+#&gt; |.....................|    -4.592 |    0.4508 |     1.095 |   0.07106 |
+#&gt; |.....................|    0.8892 |   0.05941 |    0.7160 |    0.6828 |
+#&gt; |.....................|     1.562 |    0.9781 |    0.6800 |     1.645 |
+#&gt; |    X|<span style='font-weight: bold;'>     479.23599</span> |     91.29 |  0.005177 |    0.2921 |    0.1108 |
+#&gt; |.....................|   0.01013 |    0.6108 |     1.095 |   0.07106 |
+#&gt; |.....................|    0.8892 |   0.05941 |    0.7160 |    0.6828 |
+#&gt; |.....................|     1.562 |    0.9781 |    0.6800 |     1.645 |
+#&gt; |    F| Forward Diff. |     18.36 |     1.286 |    0.8956 |   0.06941 |
+#&gt; |.....................|    0.3942 |    0.6495 |    -3.460 |     6.349 |
+#&gt; |.....................|    0.7828 |    0.9998 |    -1.947 |    -2.931 |
+#&gt; |.....................|    0.1591 |     2.144 |    -3.375 |    -5.909 |
+#&gt; |<span style='font-weight: bold;'>    8</span>|     479.05200 |    0.9982 |    -1.066 |   -0.9056 |   -0.9376 |
+#&gt; |.....................|   -0.9803 |   -0.9037 |   -0.2181 |   -0.4407 |
+#&gt; |.....................|   -0.7304 |   -0.8427 |   -0.8951 |    -1.119 |
+#&gt; |.....................|   -0.5384 |   -0.8504 |    -1.087 |   -0.4972 |
+#&gt; |    U|       479.052 |     90.84 |    -5.266 |   -0.8857 |    -2.200 |
+#&gt; |.....................|    -4.593 |    0.4502 |     1.102 |   0.07105 |
+#&gt; |.....................|    0.8899 |   0.05939 |    0.7177 |    0.6818 |
+#&gt; |.....................|     1.572 |    0.9761 |    0.6797 |     1.663 |
+#&gt; |    X|<span style='font-weight: bold;'>       479.052</span> |     90.84 |  0.005162 |    0.2920 |    0.1108 |
+#&gt; |.....................|   0.01012 |    0.6107 |     1.102 |   0.07105 |
+#&gt; |.....................|    0.8899 |   0.05939 |    0.7177 |    0.6818 |
+#&gt; |.....................|     1.572 |    0.9761 |    0.6797 |     1.663 |
+#&gt; |<span style='font-weight: bold;'>    9</span>|     478.91507 |    0.9977 |    -1.070 |   -0.9061 |   -0.9377 |
+#&gt; |.....................|   -0.9807 |   -0.9051 |   -0.2002 |   -0.4395 |
+#&gt; |.....................|   -0.7284 |   -0.8431 |   -0.8930 |    -1.121 |
+#&gt; |.....................|   -0.5287 |   -0.8520 |    -1.088 |   -0.4828 |
+#&gt; |    U|     478.91507 |     90.79 |    -5.270 |   -0.8862 |    -2.200 |
+#&gt; |.....................|    -4.593 |    0.4495 |     1.110 |   0.07109 |
+#&gt; |.....................|    0.8907 |   0.05938 |    0.7192 |    0.6799 |
+#&gt; |.....................|     1.584 |    0.9745 |    0.6785 |     1.680 |
+#&gt; |    X|<span style='font-weight: bold;'>     478.91507</span> |     90.79 |  0.005146 |    0.2919 |    0.1108 |
+#&gt; |.....................|   0.01012 |    0.6105 |     1.110 |   0.07109 |
+#&gt; |.....................|    0.8907 |   0.05938 |    0.7192 |    0.6799 |
+#&gt; |.....................|     1.584 |    0.9745 |    0.6785 |     1.680 |
+#&gt; |<span style='font-weight: bold;'>   10</span>|     478.54700 |    0.9959 |    -1.080 |   -0.9081 |   -0.9381 |
+#&gt; |.....................|   -0.9820 |   -0.9099 |   -0.1391 |   -0.4353 |
+#&gt; |.....................|   -0.7215 |   -0.8442 |   -0.8862 |    -1.128 |
+#&gt; |.....................|   -0.4957 |   -0.8577 |    -1.093 |   -0.4342 |
+#&gt; |    U|       478.547 |     90.63 |    -5.280 |   -0.8880 |    -2.200 |
+#&gt; |.....................|    -4.594 |    0.4473 |     1.135 |   0.07121 |
+#&gt; |.....................|    0.8936 |   0.05935 |    0.7242 |    0.6734 |
+#&gt; |.....................|     1.623 |    0.9691 |    0.6746 |     1.739 |
+#&gt; |    X|<span style='font-weight: bold;'>       478.547</span> |     90.63 |  0.005094 |    0.2915 |    0.1108 |
+#&gt; |.....................|   0.01011 |    0.6100 |     1.135 |   0.07121 |
+#&gt; |.....................|    0.8936 |   0.05935 |    0.7242 |    0.6734 |
+#&gt; |.....................|     1.623 |    0.9691 |    0.6746 |     1.739 |
+#&gt; |<span style='font-weight: bold;'>   11</span>|     478.24707 |    0.9926 |    -1.098 |   -0.9118 |   -0.9388 |
+#&gt; |.....................|   -0.9843 |   -0.9186 |  -0.02735 |   -0.4276 |
+#&gt; |.....................|   -0.7088 |   -0.8464 |   -0.8736 |    -1.141 |
+#&gt; |.....................|   -0.4354 |   -0.8680 |    -1.101 |   -0.3451 |
+#&gt; |    U|     478.24707 |     90.33 |    -5.298 |   -0.8913 |    -2.201 |
+#&gt; |.....................|    -4.597 |    0.4433 |     1.182 |   0.07143 |
+#&gt; |.....................|    0.8988 |   0.05929 |    0.7334 |    0.6616 |
+#&gt; |.....................|     1.694 |    0.9593 |    0.6674 |     1.848 |
+#&gt; |    X|<span style='font-weight: bold;'>     478.24707</span> |     90.33 |  0.004999 |    0.2909 |    0.1107 |
+#&gt; |.....................|   0.01008 |    0.6090 |     1.182 |   0.07143 |
+#&gt; |.....................|    0.8988 |   0.05929 |    0.7334 |    0.6616 |
+#&gt; |.....................|     1.694 |    0.9593 |    0.6674 |     1.848 |
+#&gt; |    F| Forward Diff. |    -54.86 |     1.159 |   -0.2545 |    0.1198 |
+#&gt; |.....................|    0.4779 |     1.320 |    -1.627 |     7.719 |
+#&gt; |.....................|     1.488 |     1.194 |    -2.008 |    -4.434 |
+#&gt; |.....................|     3.563 |    0.8010 |    -2.393 |    -3.495 |
+#&gt; |<span style='font-weight: bold;'>   12</span>|     475.90466 |     1.002 |    -1.127 |   -0.9233 |   -0.9398 |
+#&gt; |.....................|   -0.9978 |   -0.9482 |  -0.05448 |   -0.6822 |
+#&gt; |.....................|   -0.7579 |   -0.8801 |   -0.8190 |    -1.095 |
+#&gt; |.....................|   -0.4550 |   -0.8498 |    -1.031 |   -0.2699 |
+#&gt; |    U|     475.90466 |     91.18 |    -5.327 |   -0.9014 |    -2.202 |
+#&gt; |.....................|    -4.610 |    0.4297 |     1.170 |   0.06405 |
+#&gt; |.....................|    0.8785 |   0.05831 |    0.7733 |    0.7032 |
+#&gt; |.....................|     1.671 |    0.9767 |    0.7277 |     1.939 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.90466</span> |     91.18 |  0.004860 |    0.2888 |    0.1106 |
+#&gt; |.....................|  0.009950 |    0.6058 |     1.170 |   0.06405 |
+#&gt; |.....................|    0.8785 |   0.05831 |    0.7733 |    0.7032 |
+#&gt; |.....................|     1.671 |    0.9767 |    0.7277 |     1.939 |
+#&gt; |    F| Forward Diff. |    -5.773 |     1.281 |   0.05418 |  -0.06269 |
+#&gt; |.....................|    0.4104 |     1.812 |    -4.981 |     3.640 |
+#&gt; |.....................|  -0.08126 |   0.09477 |    -1.092 |    -2.966 |
+#&gt; |.....................|     5.262 |     2.712 |     3.245 |    -2.012 |
+#&gt; |<span style='font-weight: bold;'>   13</span>|     477.06760 |     1.030 |    -1.176 |   -0.9281 |   -0.9377 |
+#&gt; |.....................|    -1.013 |    -1.011 |   0.09564 |   -0.8420 |
+#&gt; |.....................|   -0.7668 |   -0.8907 |   -0.7738 |    -1.073 |
+#&gt; |.....................|   -0.5619 |   -0.8693 |    -1.126 |   -0.1773 |
+#&gt; |    U|      477.0676 |     93.71 |    -5.376 |   -0.9057 |    -2.200 |
+#&gt; |.....................|    -4.625 |    0.4008 |     1.233 |   0.05941 |
+#&gt; |.....................|    0.8748 |   0.05800 |    0.8064 |    0.7234 |
+#&gt; |.....................|     1.545 |    0.9581 |    0.6461 |     2.051 |
+#&gt; |    X|<span style='font-weight: bold;'>      477.0676</span> |     93.71 |  0.004627 |    0.2879 |    0.1108 |
+#&gt; |.....................|  0.009799 |    0.5989 |     1.233 |   0.05941 |
+#&gt; |.....................|    0.8748 |   0.05800 |    0.8064 |    0.7234 |
+#&gt; |.....................|     1.545 |    0.9581 |    0.6461 |     2.051 |
+#&gt; |<span style='font-weight: bold;'>   14</span>|     477.20174 |     1.026 |    -1.143 |   -0.9246 |   -0.9391 |
+#&gt; |.....................|    -1.003 |   -0.9695 | -0.001726 |   -0.7335 |
+#&gt; |.....................|   -0.7599 |   -0.8831 |   -0.8043 |    -1.080 |
+#&gt; |.....................|   -0.4976 |   -0.8627 |    -1.065 |   -0.2404 |
+#&gt; |    U|     477.20174 |     93.37 |    -5.343 |   -0.9027 |    -2.201 |
+#&gt; |.....................|    -4.615 |    0.4199 |     1.192 |   0.06256 |
+#&gt; |.....................|    0.8776 |   0.05822 |    0.7840 |    0.7162 |
+#&gt; |.....................|     1.621 |    0.9644 |    0.6988 |     1.975 |
+#&gt; |    X|<span style='font-weight: bold;'>     477.20174</span> |     93.37 |  0.004782 |    0.2885 |    0.1106 |
+#&gt; |.....................|  0.009899 |    0.6035 |     1.192 |   0.06256 |
+#&gt; |.....................|    0.8776 |   0.05822 |    0.7840 |    0.7162 |
+#&gt; |.....................|     1.621 |    0.9644 |    0.6988 |     1.975 |
+#&gt; |<span style='font-weight: bold;'>   15</span>|     476.22973 |     1.014 |    -1.129 |   -0.9234 |   -0.9397 |
+#&gt; |.....................|   -0.9986 |   -0.9521 |  -0.04396 |   -0.6899 |
+#&gt; |.....................|   -0.7577 |   -0.8803 |   -0.8167 |    -1.089 |
+#&gt; |.....................|   -0.4661 |   -0.8555 |    -1.038 |   -0.2656 |
+#&gt; |    U|     476.22973 |     92.29 |    -5.329 |   -0.9015 |    -2.202 |
+#&gt; |.....................|    -4.611 |    0.4279 |     1.175 |   0.06382 |
+#&gt; |.....................|    0.8785 |   0.05830 |    0.7750 |    0.7089 |
+#&gt; |.....................|     1.658 |    0.9712 |    0.7218 |     1.944 |
+#&gt; |    X|<span style='font-weight: bold;'>     476.22973</span> |     92.29 |  0.004847 |    0.2887 |    0.1106 |
+#&gt; |.....................|  0.009941 |    0.6054 |     1.175 |   0.06382 |
+#&gt; |.....................|    0.8785 |   0.05830 |    0.7750 |    0.7089 |
+#&gt; |.....................|     1.658 |    0.9712 |    0.7218 |     1.944 |
+#&gt; |<span style='font-weight: bold;'>   16</span>|     475.87776 |     1.005 |    -1.127 |   -0.9233 |   -0.9398 |
+#&gt; |.....................|   -0.9980 |   -0.9491 |  -0.05201 |   -0.6840 |
+#&gt; |.....................|   -0.7578 |   -0.8802 |   -0.8184 |    -1.093 |
+#&gt; |.....................|   -0.4576 |   -0.8511 |    -1.033 |   -0.2689 |
+#&gt; |    U|     475.87776 |     91.44 |    -5.327 |   -0.9015 |    -2.202 |
+#&gt; |.....................|    -4.610 |    0.4293 |     1.171 |   0.06399 |
+#&gt; |.....................|    0.8785 |   0.05830 |    0.7737 |    0.7045 |
+#&gt; |.....................|     1.668 |    0.9754 |    0.7263 |     1.940 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.87776</span> |     91.44 |  0.004857 |    0.2887 |    0.1106 |
+#&gt; |.....................|  0.009948 |    0.6057 |     1.171 |   0.06399 |
+#&gt; |.....................|    0.8785 |   0.05830 |    0.7737 |    0.7045 |
+#&gt; |.....................|     1.668 |    0.9754 |    0.7263 |     1.940 |
+#&gt; |    F| Forward Diff. |     16.12 |     1.298 |    0.4116 |  -0.09723 |
+#&gt; |.....................|    0.4002 |     1.728 |    -4.991 |     3.781 |
+#&gt; |.....................|  -0.06392 |   0.04117 |    -1.251 |   -0.6787 |
+#&gt; |.....................|     5.079 |     2.620 |     3.013 |    -2.074 |
+#&gt; |<span style='font-weight: bold;'>   17</span>|     475.82399 |     1.002 |    -1.128 |   -0.9234 |   -0.9397 |
+#&gt; |.....................|   -0.9982 |   -0.9501 |  -0.04950 |   -0.6866 |
+#&gt; |.....................|   -0.7580 |   -0.8803 |   -0.8177 |    -1.093 |
+#&gt; |.....................|   -0.4596 |   -0.8518 |    -1.034 |   -0.2675 |
+#&gt; |    U|     475.82399 |     91.17 |    -5.328 |   -0.9016 |    -2.202 |
+#&gt; |.....................|    -4.611 |    0.4288 |     1.172 |   0.06392 |
+#&gt; |.....................|    0.8784 |   0.05830 |    0.7743 |    0.7045 |
+#&gt; |.....................|     1.666 |    0.9748 |    0.7251 |     1.942 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.82399</span> |     91.17 |  0.004853 |    0.2887 |    0.1106 |
+#&gt; |.....................|  0.009945 |    0.6056 |     1.172 |   0.06392 |
+#&gt; |.....................|    0.8784 |   0.05830 |    0.7743 |    0.7045 |
+#&gt; |.....................|     1.666 |    0.9748 |    0.7251 |     1.942 |
+#&gt; |    F| Forward Diff. |    -7.267 |     1.279 |  0.007095 |  -0.05940 |
+#&gt; |.....................|    0.4115 |     1.783 |    -5.114 |     3.652 |
+#&gt; |.....................|   -0.1068 |    0.1083 |    -1.295 |   -0.9578 |
+#&gt; |.....................|     2.682 |     2.514 |     3.014 |    -2.035 |
+#&gt; |<span style='font-weight: bold;'>   18</span>|     475.78862 |     1.005 |    -1.129 |   -0.9235 |   -0.9397 |
+#&gt; |.....................|   -0.9985 |   -0.9512 |  -0.04657 |   -0.6892 |
+#&gt; |.....................|   -0.7580 |   -0.8804 |   -0.8168 |    -1.093 |
+#&gt; |.....................|   -0.4611 |   -0.8527 |    -1.036 |   -0.2661 |
+#&gt; |    U|     475.78862 |     91.41 |    -5.329 |   -0.9016 |    -2.202 |
+#&gt; |.....................|    -4.611 |    0.4283 |     1.174 |   0.06384 |
+#&gt; |.....................|    0.8784 |   0.05830 |    0.7749 |    0.7045 |
+#&gt; |.....................|     1.664 |    0.9739 |    0.7236 |     1.943 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.78862</span> |     91.41 |  0.004849 |    0.2887 |    0.1106 |
+#&gt; |.....................|  0.009942 |    0.6055 |     1.174 |   0.06384 |
+#&gt; |.....................|    0.8784 |   0.05830 |    0.7749 |    0.7045 |
+#&gt; |.....................|     1.664 |    0.9739 |    0.7236 |     1.943 |
+#&gt; |    F| Forward Diff. |     13.19 |     1.292 |    0.3498 |  -0.09321 |
+#&gt; |.....................|    0.4023 |     1.703 |    -5.372 |     3.699 |
+#&gt; |.....................|   -0.1234 |   0.05429 |    -1.241 |   -0.7588 |
+#&gt; |.....................|     4.815 |     2.436 |     2.783 |    -2.083 |
+#&gt; |<span style='font-weight: bold;'>   19</span>|     475.73531 |     1.002 |    -1.130 |   -0.9236 |   -0.9397 |
+#&gt; |.....................|   -0.9987 |   -0.9524 |  -0.04361 |   -0.6921 |
+#&gt; |.....................|   -0.7582 |   -0.8806 |   -0.8159 |    -1.094 |
+#&gt; |.....................|   -0.4630 |   -0.8531 |    -1.037 |   -0.2646 |
+#&gt; |    U|     475.73531 |     91.21 |    -5.330 |   -0.9018 |    -2.202 |
+#&gt; |.....................|    -4.611 |    0.4278 |     1.175 |   0.06376 |
+#&gt; |.....................|    0.8783 |   0.05829 |    0.7756 |    0.7041 |
+#&gt; |.....................|     1.662 |    0.9735 |    0.7222 |     1.945 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.73531</span> |     91.21 |  0.004845 |    0.2887 |    0.1106 |
+#&gt; |.....................|  0.009940 |    0.6053 |     1.175 |   0.06376 |
+#&gt; |.....................|    0.8783 |   0.05829 |    0.7756 |    0.7041 |
+#&gt; |.....................|     1.662 |    0.9735 |    0.7222 |     1.945 |
+#&gt; |    F| Forward Diff. |    -3.312 |     1.277 |   0.06663 |  -0.06695 |
+#&gt; |.....................|    0.4102 |     1.736 |    -5.095 |     3.555 |
+#&gt; |.....................|  -0.08175 |   0.08515 |    -1.253 |   -0.9364 |
+#&gt; |.....................|     4.836 |     2.452 |     2.739 |    -2.058 |
+#&gt; |<span style='font-weight: bold;'>   20</span>|     475.69941 |     1.004 |    -1.131 |   -0.9237 |   -0.9396 |
+#&gt; |.....................|   -0.9990 |   -0.9534 |  -0.04063 |   -0.6942 |
+#&gt; |.....................|   -0.7581 |   -0.8807 |   -0.8151 |    -1.093 |
+#&gt; |.....................|   -0.4658 |   -0.8545 |    -1.039 |   -0.2634 |
+#&gt; |    U|     475.69941 |     91.39 |    -5.331 |   -0.9018 |    -2.202 |
+#&gt; |.....................|    -4.611 |    0.4273 |     1.176 |   0.06370 |
+#&gt; |.....................|    0.8783 |   0.05829 |    0.7761 |    0.7046 |
+#&gt; |.....................|     1.658 |    0.9722 |    0.7208 |     1.947 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.69941</span> |     91.39 |  0.004841 |    0.2887 |    0.1106 |
+#&gt; |.....................|  0.009937 |    0.6052 |     1.176 |   0.06370 |
+#&gt; |.....................|    0.8783 |   0.05829 |    0.7761 |    0.7046 |
+#&gt; |.....................|     1.658 |    0.9722 |    0.7208 |     1.947 |
+#&gt; |    F| Forward Diff. |     11.57 |     1.287 |    0.3079 |  -0.08979 |
+#&gt; |.....................|    0.4039 |     1.674 |    -5.153 |     3.653 |
+#&gt; |.....................|  -0.06063 |   0.04440 |    -1.200 |   -0.7646 |
+#&gt; |.....................|     2.452 |     2.339 |     2.552 |    -2.095 |
+#&gt; |<span style='font-weight: bold;'>   21</span>|     475.66307 |     1.001 |    -1.131 |   -0.9238 |   -0.9396 |
+#&gt; |.....................|   -0.9992 |   -0.9545 |  -0.03780 |   -0.6969 |
+#&gt; |.....................|   -0.7583 |   -0.8808 |   -0.8143 |    -1.094 |
+#&gt; |.....................|   -0.4671 |   -0.8550 |    -1.041 |   -0.2620 |
+#&gt; |    U|     475.66307 |     91.11 |    -5.331 |   -0.9019 |    -2.202 |
+#&gt; |.....................|    -4.612 |    0.4268 |     1.177 |   0.06362 |
+#&gt; |.....................|    0.8783 |   0.05829 |    0.7767 |    0.7044 |
+#&gt; |.....................|     1.657 |    0.9717 |    0.7195 |     1.948 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.66307</span> |     91.11 |  0.004837 |    0.2887 |    0.1106 |
+#&gt; |.....................|  0.009935 |    0.6051 |     1.177 |   0.06362 |
+#&gt; |.....................|    0.8783 |   0.05829 |    0.7767 |    0.7044 |
+#&gt; |.....................|     1.657 |    0.9717 |    0.7195 |     1.948 |
+#&gt; |    F| Forward Diff. |    -12.57 |     1.267 |  -0.09715 |  -0.05310 |
+#&gt; |.....................|    0.4138 |     1.728 |    -5.558 |     3.438 |
+#&gt; |.....................|   -0.1081 |    0.1203 |    -1.232 |    -1.053 |
+#&gt; |.....................|     2.344 |     2.291 |     2.543 |    -2.059 |
+#&gt; |<span style='font-weight: bold;'>   22</span>|     475.61346 |     1.003 |    -1.132 |   -0.9238 |   -0.9395 |
+#&gt; |.....................|   -0.9995 |   -0.9557 |  -0.03467 |   -0.6999 |
+#&gt; |.....................|   -0.7585 |   -0.8810 |   -0.8134 |    -1.094 |
+#&gt; |.....................|   -0.4680 |   -0.8550 |    -1.042 |   -0.2607 |
+#&gt; |    U|     475.61346 |     91.32 |    -5.332 |   -0.9020 |    -2.202 |
+#&gt; |.....................|    -4.612 |    0.4262 |     1.179 |   0.06353 |
+#&gt; |.....................|    0.8782 |   0.05828 |    0.7774 |    0.7040 |
+#&gt; |.....................|     1.656 |    0.9717 |    0.7181 |     1.950 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.61346</span> |     91.32 |  0.004833 |    0.2886 |    0.1106 |
+#&gt; |.....................|  0.009932 |    0.6050 |     1.179 |   0.06353 |
+#&gt; |.....................|    0.8782 |   0.05828 |    0.7774 |    0.7040 |
+#&gt; |.....................|     1.656 |    0.9717 |    0.7181 |     1.950 |
+#&gt; |    F| Forward Diff. |     5.192 |     1.277 |    0.1967 |  -0.08157 |
+#&gt; |.....................|    0.4060 |     1.656 |    -5.231 |     3.627 |
+#&gt; |.....................|   -0.1038 |   0.05786 |    -1.199 |   -0.8859 |
+#&gt; |.....................|     2.283 |     2.293 |     2.331 |    -2.101 |
+#&gt; |<span style='font-weight: bold;'>   23</span>|     475.58436 |     1.001 |    -1.133 |   -0.9239 |   -0.9395 |
+#&gt; |.....................|   -0.9998 |   -0.9568 |  -0.03140 |   -0.7025 |
+#&gt; |.....................|   -0.7585 |   -0.8810 |   -0.8126 |    -1.094 |
+#&gt; |.....................|   -0.4692 |   -0.8560 |    -1.044 |   -0.2594 |
+#&gt; |    U|     475.58436 |     91.09 |    -5.333 |   -0.9021 |    -2.202 |
+#&gt; |.....................|    -4.612 |    0.4257 |     1.180 |   0.06346 |
+#&gt; |.....................|    0.8782 |   0.05828 |    0.7780 |    0.7043 |
+#&gt; |.....................|     1.654 |    0.9707 |    0.7167 |     1.952 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.58436</span> |     91.09 |  0.004829 |    0.2886 |    0.1106 |
+#&gt; |.....................|  0.009929 |    0.6049 |     1.180 |   0.06346 |
+#&gt; |.....................|    0.8782 |   0.05828 |    0.7780 |    0.7043 |
+#&gt; |.....................|     1.654 |    0.9707 |    0.7167 |     1.952 |
+#&gt; |    F| Forward Diff. |    -14.46 |     1.261 |   -0.1306 |  -0.05131 |
+#&gt; |.....................|    0.4140 |     1.696 |    -5.518 |     3.404 |
+#&gt; |.....................|   -0.1407 |    0.1181 |    -1.199 |    -1.071 |
+#&gt; |.....................|     2.272 |     2.212 |     2.296 |    -2.075 |
+#&gt; |<span style='font-weight: bold;'>   24</span>|     475.53229 |     1.003 |    -1.134 |   -0.9240 |   -0.9394 |
+#&gt; |.....................|    -1.000 |   -0.9581 |  -0.02828 |   -0.7055 |
+#&gt; |.....................|   -0.7587 |   -0.8812 |   -0.8117 |    -1.094 |
+#&gt; |.....................|   -0.4701 |   -0.8560 |    -1.045 |   -0.2580 |
+#&gt; |    U|     475.53229 |     91.31 |    -5.334 |   -0.9021 |    -2.202 |
+#&gt; |.....................|    -4.613 |    0.4251 |     1.181 |   0.06337 |
+#&gt; |.....................|    0.8781 |   0.05828 |    0.7786 |    0.7039 |
+#&gt; |.....................|     1.653 |    0.9708 |    0.7153 |     1.953 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.53229</span> |     91.31 |  0.004824 |    0.2886 |    0.1106 |
+#&gt; |.....................|  0.009926 |    0.6047 |     1.181 |   0.06337 |
+#&gt; |.....................|    0.8781 |   0.05828 |    0.7786 |    0.7039 |
+#&gt; |.....................|     1.653 |    0.9708 |    0.7153 |     1.953 |
+#&gt; |    F| Forward Diff. |     4.355 |     1.271 |    0.1786 |  -0.08149 |
+#&gt; |.....................|    0.4055 |     1.621 |    -5.117 |     3.557 |
+#&gt; |.....................|   -0.1060 |   0.04285 |   -0.9518 |    -2.902 |
+#&gt; |.....................|     4.469 |     2.204 |     2.093 |    -2.115 |
+#&gt; |<span style='font-weight: bold;'>   25</span>|     475.50379 |     1.001 |    -1.135 |   -0.9241 |   -0.9394 |
+#&gt; |.....................|    -1.000 |   -0.9591 |  -0.02533 |   -0.7076 |
+#&gt; |.....................|   -0.7587 |   -0.8812 |   -0.8111 |    -1.093 |
+#&gt; |.....................|   -0.4726 |   -0.8571 |    -1.047 |   -0.2568 |
+#&gt; |    U|     475.50379 |     91.10 |    -5.335 |   -0.9022 |    -2.202 |
+#&gt; |.....................|    -4.613 |    0.4247 |     1.182 |   0.06331 |
+#&gt; |.....................|    0.8781 |   0.05828 |    0.7790 |    0.7053 |
+#&gt; |.....................|     1.650 |    0.9697 |    0.7143 |     1.955 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.50379</span> |     91.10 |  0.004820 |    0.2886 |    0.1106 |
+#&gt; |.....................|  0.009924 |    0.6046 |     1.182 |   0.06331 |
+#&gt; |.....................|    0.8781 |   0.05828 |    0.7790 |    0.7053 |
+#&gt; |.....................|     1.650 |    0.9697 |    0.7143 |     1.955 |
+#&gt; |    F| Forward Diff. |    -13.73 |     1.259 |   -0.1294 |  -0.05234 |
+#&gt; |.....................|    0.4131 |     1.659 |    -5.626 |     3.356 |
+#&gt; |.....................|   -0.1179 |    0.1182 |    -1.163 |   -0.9759 |
+#&gt; |.....................|     2.282 |     2.162 |     2.085 |    -2.085 |
+#&gt; |<span style='font-weight: bold;'>   26</span>|     475.45890 |     1.004 |    -1.136 |   -0.9240 |   -0.9393 |
+#&gt; |.....................|    -1.001 |   -0.9602 |  -0.02221 |   -0.7103 |
+#&gt; |.....................|   -0.7588 |   -0.8813 |   -0.8104 |    -1.092 |
+#&gt; |.....................|   -0.4738 |   -0.8571 |    -1.048 |   -0.2555 |
+#&gt; |    U|      475.4589 |     91.37 |    -5.336 |   -0.9021 |    -2.202 |
+#&gt; |.....................|    -4.613 |    0.4242 |     1.184 |   0.06323 |
+#&gt; |.....................|    0.8781 |   0.05827 |    0.7796 |    0.7056 |
+#&gt; |.....................|     1.649 |    0.9697 |    0.7132 |     1.956 |
+#&gt; |    X|<span style='font-weight: bold;'>      475.4589</span> |     91.37 |  0.004816 |    0.2886 |    0.1106 |
+#&gt; |.....................|  0.009921 |    0.6045 |     1.184 |   0.06323 |
+#&gt; |.....................|    0.8781 |   0.05827 |    0.7796 |    0.7056 |
+#&gt; |.....................|     1.649 |    0.9697 |    0.7132 |     1.956 |
+#&gt; |    F| Forward Diff. |     9.388 |     1.275 |    0.2447 |  -0.08891 |
+#&gt; |.....................|    0.4027 |     1.576 |    -4.598 |     3.539 |
+#&gt; |.....................|  -0.08390 |   0.04261 |   -0.9004 |    -2.725 |
+#&gt; |.....................|     4.305 |     2.111 |     1.882 |    -2.135 |
+#&gt; |<span style='font-weight: bold;'>   27</span>|     475.41657 |     1.002 |    -1.137 |   -0.9241 |   -0.9392 |
+#&gt; |.....................|    -1.001 |   -0.9615 |  -0.01910 |   -0.7133 |
+#&gt; |.....................|   -0.7590 |   -0.8814 |   -0.8097 |    -1.092 |
+#&gt; |.....................|   -0.4754 |   -0.8571 |    -1.049 |   -0.2540 |
+#&gt; |    U|     475.41657 |     91.17 |    -5.337 |   -0.9022 |    -2.202 |
+#&gt; |.....................|    -4.613 |    0.4236 |     1.185 |   0.06314 |
+#&gt; |.....................|    0.8780 |   0.05827 |    0.7801 |    0.7060 |
+#&gt; |.....................|     1.647 |    0.9697 |    0.7121 |     1.958 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.41657</span> |     91.17 |  0.004811 |    0.2886 |    0.1106 |
+#&gt; |.....................|  0.009918 |    0.6043 |     1.185 |   0.06314 |
+#&gt; |.....................|    0.8780 |   0.05827 |    0.7801 |    0.7060 |
+#&gt; |.....................|     1.647 |    0.9697 |    0.7121 |     1.958 |
+#&gt; |    F| Forward Diff. |    -7.291 |     1.263 |  -0.02799 |  -0.06240 |
+#&gt; |.....................|    0.4098 |     1.607 |    -5.561 |     3.409 |
+#&gt; |.....................|   -0.1363 |   0.09124 |    -1.126 |   -0.9025 |
+#&gt; |.....................|     4.264 |     2.123 |     1.858 |    -2.103 |
+#&gt; |<span style='font-weight: bold;'>   28</span>|     475.37603 |     1.004 |    -1.138 |   -0.9241 |   -0.9392 |
+#&gt; |.....................|    -1.001 |   -0.9626 |  -0.01569 |   -0.7160 |
+#&gt; |.....................|   -0.7590 |   -0.8815 |   -0.8090 |    -1.092 |
+#&gt; |.....................|   -0.4775 |   -0.8574 |    -1.050 |   -0.2525 |
+#&gt; |    U|     475.37603 |     91.35 |    -5.338 |   -0.9022 |    -2.202 |
+#&gt; |.....................|    -4.614 |    0.4231 |     1.186 |   0.06307 |
+#&gt; |.....................|    0.8780 |   0.05827 |    0.7806 |    0.7060 |
+#&gt; |.....................|     1.645 |    0.9695 |    0.7112 |     1.960 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.37603</span> |     91.35 |  0.004807 |    0.2886 |    0.1106 |
+#&gt; |.....................|  0.009915 |    0.6042 |     1.186 |   0.06307 |
+#&gt; |.....................|    0.8780 |   0.05827 |    0.7806 |    0.7060 |
+#&gt; |.....................|     1.645 |    0.9695 |    0.7112 |     1.960 |
+#&gt; |    F| Forward Diff. |     7.976 |     1.271 |    0.2167 |  -0.08766 |
+#&gt; |.....................|    0.4024 |     1.550 |    -5.132 |     3.516 |
+#&gt; |.....................|  -0.09627 |   0.04106 |    -1.088 |   -0.7404 |
+#&gt; |.....................|     4.103 |     2.126 |     1.707 |    -2.133 |
+#&gt; |<span style='font-weight: bold;'>   29</span>|     475.34297 |     1.001 |    -1.139 |   -0.9242 |   -0.9391 |
+#&gt; |.....................|    -1.002 |   -0.9636 |  -0.01242 |   -0.7185 |
+#&gt; |.....................|   -0.7591 |   -0.8816 |   -0.8082 |    -1.092 |
+#&gt; |.....................|   -0.4796 |   -0.8578 |    -1.051 |   -0.2511 |
+#&gt; |    U|     475.34297 |     91.13 |    -5.339 |   -0.9023 |    -2.201 |
+#&gt; |.....................|    -4.614 |    0.4226 |     1.188 |   0.06299 |
+#&gt; |.....................|    0.8779 |   0.05826 |    0.7812 |    0.7056 |
+#&gt; |.....................|     1.642 |    0.9691 |    0.7103 |     1.962 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.34297</span> |     91.13 |  0.004803 |    0.2886 |    0.1106 |
+#&gt; |.....................|  0.009912 |    0.6041 |     1.188 |   0.06299 |
+#&gt; |.....................|    0.8779 |   0.05826 |    0.7812 |    0.7056 |
+#&gt; |.....................|     1.642 |    0.9691 |    0.7103 |     1.962 |
+#&gt; |    F| Forward Diff. |    -11.69 |     1.251 |  -0.09758 |  -0.05188 |
+#&gt; |.....................|    0.4100 |     1.596 |    -5.544 |     3.338 |
+#&gt; |.....................|   -0.1288 |   0.09302 |    -1.103 |   -0.9943 |
+#&gt; |.....................|     4.044 |     2.113 |     1.726 |    -2.096 |
+#&gt; |<span style='font-weight: bold;'>   30</span>|     475.29763 |     1.004 |    -1.140 |   -0.9242 |   -0.9391 |
+#&gt; |.....................|    -1.002 |   -0.9647 | -0.009016 |   -0.7212 |
+#&gt; |.....................|   -0.7592 |   -0.8817 |   -0.8074 |    -1.093 |
+#&gt; |.....................|   -0.4815 |   -0.8578 |    -1.052 |   -0.2496 |
+#&gt; |    U|     475.29763 |     91.33 |    -5.340 |   -0.9023 |    -2.201 |
+#&gt; |.....................|    -4.614 |    0.4221 |     1.189 |   0.06292 |
+#&gt; |.....................|    0.8779 |   0.05826 |    0.7818 |    0.7049 |
+#&gt; |.....................|     1.640 |    0.9691 |    0.7096 |     1.964 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.29763</span> |     91.33 |  0.004798 |    0.2886 |    0.1106 |
+#&gt; |.....................|  0.009909 |    0.6040 |     1.189 |   0.06292 |
+#&gt; |.....................|    0.8779 |   0.05826 |    0.7818 |    0.7049 |
+#&gt; |.....................|     1.640 |    0.9691 |    0.7096 |     1.964 |
+#&gt; |    F| Forward Diff. |     5.626 |     1.261 |    0.1834 |  -0.08674 |
+#&gt; |.....................|    0.4019 |     1.535 |    -5.612 |     3.466 |
+#&gt; |.....................|   -0.1091 |   0.03444 |    -1.082 |   -0.8814 |
+#&gt; |.....................|     3.882 |     2.084 |     1.576 |    -2.128 |
+#&gt; |<span style='font-weight: bold;'>   31</span>|     475.26968 |     1.001 |    -1.140 |   -0.9243 |   -0.9390 |
+#&gt; |.....................|    -1.002 |   -0.9656 | -0.005554 |   -0.7235 |
+#&gt; |.....................|   -0.7592 |   -0.8818 |   -0.8067 |    -1.093 |
+#&gt; |.....................|   -0.4837 |   -0.8585 |    -1.053 |   -0.2482 |
+#&gt; |    U|     475.26968 |     91.11 |    -5.340 |   -0.9024 |    -2.201 |
+#&gt; |.....................|    -4.615 |    0.4217 |     1.191 |   0.06285 |
+#&gt; |.....................|    0.8779 |   0.05826 |    0.7823 |    0.7049 |
+#&gt; |.....................|     1.637 |    0.9684 |    0.7088 |     1.965 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.26968</span> |     91.11 |  0.004794 |    0.2886 |    0.1106 |
+#&gt; |.....................|  0.009907 |    0.6039 |     1.191 |   0.06285 |
+#&gt; |.....................|    0.8779 |   0.05826 |    0.7823 |    0.7049 |
+#&gt; |.....................|     1.637 |    0.9684 |    0.7088 |     1.965 |
+#&gt; |    F| Forward Diff. |    -13.71 |     1.246 |   -0.1255 |  -0.05322 |
+#&gt; |.....................|    0.4099 |     1.581 |    -5.546 |     3.317 |
+#&gt; |.....................|   -0.1509 |    0.1096 |   -0.8594 |    -3.000 |
+#&gt; |.....................|     3.990 |     2.056 |     1.604 |    -2.087 |
+#&gt; |<span style='font-weight: bold;'>   32</span>|     475.22190 |     1.004 |    -1.141 |   -0.9243 |   -0.9390 |
+#&gt; |.....................|    -1.002 |   -0.9667 | -0.002058 |   -0.7261 |
+#&gt; |.....................|   -0.7593 |   -0.8819 |   -0.8061 |    -1.093 |
+#&gt; |.....................|   -0.4854 |   -0.8583 |    -1.054 |   -0.2469 |
+#&gt; |    U|      475.2219 |     91.33 |    -5.341 |   -0.9024 |    -2.201 |
+#&gt; |.....................|    -4.615 |    0.4212 |     1.192 |   0.06277 |
+#&gt; |.....................|    0.8778 |   0.05826 |    0.7828 |    0.7049 |
+#&gt; |.....................|     1.635 |    0.9686 |    0.7081 |     1.967 |
+#&gt; |    X|<span style='font-weight: bold;'>      475.2219</span> |     91.33 |  0.004790 |    0.2886 |    0.1107 |
+#&gt; |.....................|  0.009904 |    0.6038 |     1.192 |   0.06277 |
+#&gt; |.....................|    0.8778 |   0.05826 |    0.7828 |    0.7049 |
+#&gt; |.....................|     1.635 |    0.9686 |    0.7081 |     1.967 |
+#&gt; |    F| Forward Diff. |     5.841 |     1.258 |    0.1840 |  -0.08823 |
+#&gt; |.....................|    0.4011 |     1.514 |    -4.992 |     3.441 |
+#&gt; |.....................|   -0.1080 |   0.03852 |    -1.043 |   -0.8514 |
+#&gt; |.....................|     3.826 |     2.019 |     1.451 |    -2.125 |
+#&gt; |<span style='font-weight: bold;'>   33</span>|     475.19540 |     1.001 |    -1.142 |   -0.9244 |   -0.9389 |
+#&gt; |.....................|    -1.003 |   -0.9677 |  0.001228 |   -0.7286 |
+#&gt; |.....................|   -0.7593 |   -0.8819 |   -0.8054 |    -1.093 |
+#&gt; |.....................|   -0.4876 |   -0.8589 |    -1.055 |   -0.2455 |
+#&gt; |    U|      475.1954 |     91.10 |    -5.342 |   -0.9025 |    -2.201 |
+#&gt; |.....................|    -4.615 |    0.4207 |     1.193 |   0.06270 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7833 |    0.7050 |
+#&gt; |.....................|     1.633 |    0.9680 |    0.7073 |     1.969 |
+#&gt; |    X|<span style='font-weight: bold;'>      475.1954</span> |     91.10 |  0.004786 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009901 |    0.6037 |     1.193 |   0.06270 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7833 |    0.7050 |
+#&gt; |.....................|     1.633 |    0.9680 |    0.7073 |     1.969 |
+#&gt; |    F| Forward Diff. |    -14.17 |     1.239 |   -0.1323 |  -0.05443 |
+#&gt; |.....................|    0.4093 |     1.561 |    -5.475 |     3.262 |
+#&gt; |.....................|   -0.1301 |   0.09817 |    -1.038 |    -1.045 |
+#&gt; |.....................|     3.818 |     2.054 |     1.474 |    -2.085 |
+#&gt; |<span style='font-weight: bold;'>   34</span>|     475.14668 |     1.003 |    -1.143 |   -0.9244 |   -0.9388 |
+#&gt; |.....................|    -1.003 |   -0.9688 |  0.004635 |   -0.7312 |
+#&gt; |.....................|   -0.7595 |   -0.8820 |   -0.8046 |    -1.094 |
+#&gt; |.....................|   -0.4894 |   -0.8588 |    -1.055 |   -0.2440 |
+#&gt; |    U|     475.14668 |     91.31 |    -5.343 |   -0.9025 |    -2.201 |
+#&gt; |.....................|    -4.615 |    0.4202 |     1.195 |   0.06262 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7838 |    0.7043 |
+#&gt; |.....................|     1.631 |    0.9681 |    0.7066 |     1.970 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.14668</span> |     91.31 |  0.004781 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009898 |    0.6035 |     1.195 |   0.06262 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7838 |    0.7043 |
+#&gt; |.....................|     1.631 |    0.9681 |    0.7066 |     1.970 |
+#&gt; |    F| Forward Diff. |     3.838 |     1.251 |    0.1547 |  -0.08725 |
+#&gt; |.....................|    0.4006 |     1.498 |    -4.927 |     3.416 |
+#&gt; |.....................|   -0.1219 |   0.06473 |    -1.010 |    -2.917 |
+#&gt; |.....................|     3.712 |     2.020 |     1.337 |    -2.117 |
+#&gt; |<span style='font-weight: bold;'>   35</span>|     475.12366 |     1.001 |    -1.144 |   -0.9245 |   -0.9388 |
+#&gt; |.....................|    -1.003 |   -0.9698 |  0.007665 |   -0.7333 |
+#&gt; |.....................|   -0.7594 |   -0.8821 |   -0.8040 |    -1.092 |
+#&gt; |.....................|   -0.4916 |   -0.8600 |    -1.056 |   -0.2427 |
+#&gt; |    U|     475.12366 |     91.10 |    -5.344 |   -0.9025 |    -2.201 |
+#&gt; |.....................|    -4.616 |    0.4198 |     1.196 |   0.06256 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7843 |    0.7059 |
+#&gt; |.....................|     1.628 |    0.9669 |    0.7059 |     1.972 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.12366</span> |     91.10 |  0.004777 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009896 |    0.6034 |     1.196 |   0.06256 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7843 |    0.7059 |
+#&gt; |.....................|     1.628 |    0.9669 |    0.7059 |     1.972 |
+#&gt; |    F| Forward Diff. |    -14.75 |     1.239 |   -0.1466 |  -0.05465 |
+#&gt; |.....................|    0.4082 |     1.541 |    -5.471 |     3.270 |
+#&gt; |.....................|   -0.1342 |   0.09829 |    -1.014 |    -1.026 |
+#&gt; |.....................|     3.624 |     1.932 |     1.359 |    -2.081 |
+#&gt; |<span style='font-weight: bold;'>   36</span>|     475.07465 |     1.004 |    -1.145 |   -0.9245 |   -0.9387 |
+#&gt; |.....................|    -1.003 |   -0.9709 |   0.01108 |   -0.7360 |
+#&gt; |.....................|   -0.7595 |   -0.8821 |   -0.8033 |    -1.092 |
+#&gt; |.....................|   -0.4933 |   -0.8597 |    -1.057 |   -0.2414 |
+#&gt; |    U|     475.07465 |     91.33 |    -5.345 |   -0.9025 |    -2.201 |
+#&gt; |.....................|    -4.616 |    0.4193 |     1.198 |   0.06248 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7848 |    0.7058 |
+#&gt; |.....................|     1.626 |    0.9672 |    0.7053 |     1.974 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.07465</span> |     91.33 |  0.004773 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009893 |    0.6033 |     1.198 |   0.06248 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7848 |    0.7058 |
+#&gt; |.....................|     1.626 |    0.9672 |    0.7053 |     1.974 |
+#&gt; |    F| Forward Diff. |     5.021 |     1.249 |    0.1599 |  -0.08992 |
+#&gt; |.....................|    0.3985 |     1.471 |    -4.995 |     3.410 |
+#&gt; |.....................|   -0.1196 |   0.03779 |   -0.9990 |    -2.873 |
+#&gt; |.....................|     3.497 |     1.906 |     1.211 |    -2.119 |
+#&gt; |<span style='font-weight: bold;'>   37</span>|     475.04940 |     1.001 |    -1.146 |   -0.9245 |   -0.9386 |
+#&gt; |.....................|    -1.004 |   -0.9719 |   0.01438 |   -0.7384 |
+#&gt; |.....................|   -0.7594 |   -0.8822 |   -0.8026 |    -1.091 |
+#&gt; |.....................|   -0.4953 |   -0.8604 |    -1.058 |   -0.2400 |
+#&gt; |    U|      475.0494 |     91.11 |    -5.346 |   -0.9026 |    -2.201 |
+#&gt; |.....................|    -4.616 |    0.4188 |     1.199 |   0.06242 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7853 |    0.7070 |
+#&gt; |.....................|     1.623 |    0.9666 |    0.7046 |     1.975 |
+#&gt; |    X|<span style='font-weight: bold;'>      475.0494</span> |     91.11 |  0.004769 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009890 |    0.6032 |     1.199 |   0.06242 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7853 |    0.7070 |
+#&gt; |.....................|     1.623 |    0.9666 |    0.7046 |     1.975 |
+#&gt; |    F| Forward Diff. |    -14.15 |     1.235 |   -0.1370 |  -0.05688 |
+#&gt; |.....................|    0.4085 |     1.517 |    -5.494 |     3.160 |
+#&gt; |.....................|   -0.1583 |    0.1112 |   -0.7821 |    -2.927 |
+#&gt; |.....................|     3.432 |     1.909 |     1.245 |    -2.084 |
+#&gt; |<span style='font-weight: bold;'>   38</span>|     475.00092 |     1.004 |    -1.147 |   -0.9245 |   -0.9386 |
+#&gt; |.....................|    -1.004 |   -0.9731 |   0.01792 |   -0.7411 |
+#&gt; |.....................|   -0.7595 |   -0.8822 |   -0.8020 |    -1.090 |
+#&gt; |.....................|   -0.4968 |   -0.8598 |    -1.059 |   -0.2387 |
+#&gt; |    U|     475.00092 |     91.32 |    -5.347 |   -0.9025 |    -2.201 |
+#&gt; |.....................|    -4.617 |    0.4182 |     1.200 |   0.06234 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7857 |    0.7077 |
+#&gt; |.....................|     1.622 |    0.9671 |    0.7039 |     1.977 |
+#&gt; |    X|<span style='font-weight: bold;'>     475.00092</span> |     91.32 |  0.004764 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009887 |    0.6031 |     1.200 |   0.06234 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7857 |    0.7077 |
+#&gt; |.....................|     1.622 |    0.9671 |    0.7039 |     1.977 |
+#&gt; |    F| Forward Diff. |     4.379 |     1.249 |    0.1419 |  -0.08698 |
+#&gt; |.....................|    0.3989 |     1.449 |    -4.966 |     3.395 |
+#&gt; |.....................|   -0.1055 |   0.03295 |   -0.9696 |   -0.7580 |
+#&gt; |.....................|     3.283 |     1.918 |     1.096 |    -2.115 |
+#&gt; |<span style='font-weight: bold;'>   39</span>|     474.98492 |     1.001 |    -1.147 |   -0.9246 |   -0.9385 |
+#&gt; |.....................|    -1.004 |   -0.9740 |   0.02115 |   -0.7433 |
+#&gt; |.....................|   -0.7595 |   -0.8822 |   -0.8014 |    -1.089 |
+#&gt; |.....................|   -0.4989 |   -0.8610 |    -1.059 |   -0.2373 |
+#&gt; |    U|     474.98492 |     91.07 |    -5.347 |   -0.9026 |    -2.201 |
+#&gt; |.....................|    -4.617 |    0.4178 |     1.202 |   0.06227 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7862 |    0.7081 |
+#&gt; |.....................|     1.619 |    0.9660 |    0.7033 |     1.978 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.98492</span> |     91.07 |  0.004760 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009884 |    0.6030 |     1.202 |   0.06227 |
+#&gt; |.....................|    0.8778 |   0.05825 |    0.7862 |    0.7081 |
+#&gt; |.....................|     1.619 |    0.9660 |    0.7033 |     1.978 |
+#&gt; |    F| Forward Diff. |    -17.65 |     1.231 |   -0.1920 |  -0.05242 |
+#&gt; |.....................|    0.4084 |     1.504 |    -5.397 |     3.171 |
+#&gt; |.....................|   -0.1354 |    0.1061 |   -0.9468 |   -0.9144 |
+#&gt; |.....................|     1.271 |     1.859 |     1.156 |    -2.067 |
+#&gt; |<span style='font-weight: bold;'>   40</span>|     474.93249 |     1.004 |    -1.148 |   -0.9245 |   -0.9384 |
+#&gt; |.....................|    -1.005 |   -0.9752 |   0.02452 |   -0.7460 |
+#&gt; |.....................|   -0.7596 |   -0.8823 |   -0.8007 |    -1.090 |
+#&gt; |.....................|   -0.5000 |   -0.8607 |    -1.060 |   -0.2361 |
+#&gt; |    U|     474.93249 |     91.32 |    -5.348 |   -0.9026 |    -2.201 |
+#&gt; |.....................|    -4.617 |    0.4173 |     1.203 |   0.06220 |
+#&gt; |.....................|    0.8778 |   0.05824 |    0.7867 |    0.7073 |
+#&gt; |.....................|     1.618 |    0.9663 |    0.7027 |     1.980 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.93249</span> |     91.32 |  0.004755 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009881 |    0.6028 |     1.203 |   0.06220 |
+#&gt; |.....................|    0.8778 |   0.05824 |    0.7867 |    0.7073 |
+#&gt; |.....................|     1.618 |    0.9663 |    0.7027 |     1.980 |
+#&gt; |    F| Forward Diff. |     4.492 |     1.243 |    0.1448 |  -0.09052 |
+#&gt; |.....................|    0.3963 |     1.427 |    -4.973 |     3.376 |
+#&gt; |.....................|  -0.06414 |   0.02300 |   -0.7344 |    -2.787 |
+#&gt; |.....................|     3.083 |     1.834 |    0.9813 |    -2.110 |
+#&gt; |<span style='font-weight: bold;'>   41</span>|     474.90355 |     1.001 |    -1.149 |   -0.9246 |   -0.9383 |
+#&gt; |.....................|    -1.005 |   -0.9763 |   0.02806 |   -0.7486 |
+#&gt; |.....................|   -0.7596 |   -0.8823 |   -0.8002 |    -1.089 |
+#&gt; |.....................|   -0.5018 |   -0.8611 |    -1.061 |   -0.2347 |
+#&gt; |    U|     474.90355 |     91.13 |    -5.349 |   -0.9026 |    -2.201 |
+#&gt; |.....................|    -4.617 |    0.4168 |     1.205 |   0.06212 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7870 |    0.7084 |
+#&gt; |.....................|     1.616 |    0.9659 |    0.7020 |     1.982 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.90355</span> |     91.13 |  0.004751 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009878 |    0.6027 |     1.205 |   0.06212 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7870 |    0.7084 |
+#&gt; |.....................|     1.616 |    0.9659 |    0.7020 |     1.982 |
+#&gt; |    F| Forward Diff. |    -12.15 |     1.229 |   -0.1075 |  -0.06320 |
+#&gt; |.....................|    0.4033 |     1.463 |    -5.606 |     3.135 |
+#&gt; |.....................|   -0.1416 |   0.07801 |   -0.9461 |    -2.867 |
+#&gt; |.....................|     3.063 |     1.817 |     1.008 |    -2.075 |
+#&gt; |<span style='font-weight: bold;'>   42</span>|     474.85832 |     1.003 |    -1.150 |   -0.9245 |   -0.9383 |
+#&gt; |.....................|    -1.005 |   -0.9775 |   0.03184 |   -0.7513 |
+#&gt; |.....................|   -0.7597 |   -0.8823 |   -0.7996 |    -1.089 |
+#&gt; |.....................|   -0.5032 |   -0.8605 |    -1.061 |   -0.2334 |
+#&gt; |    U|     474.85832 |     91.32 |    -5.350 |   -0.9026 |    -2.201 |
+#&gt; |.....................|    -4.618 |    0.4162 |     1.206 |   0.06204 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7875 |    0.7089 |
+#&gt; |.....................|     1.614 |    0.9665 |    0.7015 |     1.983 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.85832</span> |     91.32 |  0.004746 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009875 |    0.6026 |     1.206 |   0.06204 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7875 |    0.7089 |
+#&gt; |.....................|     1.614 |    0.9665 |    0.7015 |     1.983 |
+#&gt; |    F| Forward Diff. |     3.689 |     1.242 |    0.1265 |  -0.09001 |
+#&gt; |.....................|    0.3949 |     1.405 |    -5.495 |     3.344 |
+#&gt; |.....................|   -0.1166 |   0.02645 |   -0.9105 |   -0.7126 |
+#&gt; |.....................|     2.952 |     1.861 |    0.8779 |    -2.102 |
+#&gt; |<span style='font-weight: bold;'>   43</span>|     474.83791 |     1.001 |    -1.151 |   -0.9246 |   -0.9382 |
+#&gt; |.....................|    -1.006 |   -0.9784 |   0.03545 |   -0.7535 |
+#&gt; |.....................|   -0.7596 |   -0.8823 |   -0.7990 |    -1.088 |
+#&gt; |.....................|   -0.5052 |   -0.8617 |    -1.062 |   -0.2320 |
+#&gt; |    U|     474.83791 |     91.10 |    -5.351 |   -0.9027 |    -2.201 |
+#&gt; |.....................|    -4.618 |    0.4158 |     1.208 |   0.06198 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7879 |    0.7094 |
+#&gt; |.....................|     1.612 |    0.9653 |    0.7010 |     1.985 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.83791</span> |     91.10 |  0.004742 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009872 |    0.6025 |     1.208 |   0.06198 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7879 |    0.7094 |
+#&gt; |.....................|     1.612 |    0.9653 |    0.7010 |     1.985 |
+#&gt; |    F| Forward Diff. |    -15.77 |     1.225 |   -0.1616 |  -0.05944 |
+#&gt; |.....................|    0.4032 |     1.455 |    -5.461 |     3.071 |
+#&gt; |.....................|   -0.1419 |   0.08593 |   -0.9091 |   -0.8855 |
+#&gt; |.....................|     2.951 |     1.791 |    0.9091 |    -2.062 |
+#&gt; |<span style='font-weight: bold;'>   44</span>|     474.78971 |     1.004 |    -1.152 |   -0.9246 |   -0.9381 |
+#&gt; |.....................|    -1.006 |   -0.9794 |   0.03911 |   -0.7559 |
+#&gt; |.....................|   -0.7597 |   -0.8824 |   -0.7984 |    -1.089 |
+#&gt; |.....................|   -0.5068 |   -0.8614 |    -1.062 |   -0.2307 |
+#&gt; |    U|     474.78971 |     91.33 |    -5.352 |   -0.9026 |    -2.200 |
+#&gt; |.....................|    -4.618 |    0.4153 |     1.209 |   0.06191 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7883 |    0.7086 |
+#&gt; |.....................|     1.610 |    0.9656 |    0.7006 |     1.986 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.78971</span> |     91.33 |  0.004738 |    0.2885 |    0.1107 |
+#&gt; |.....................|  0.009869 |    0.6024 |     1.209 |   0.06191 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7883 |    0.7086 |
+#&gt; |.....................|     1.610 |    0.9656 |    0.7006 |     1.986 |
+#&gt; |    F| Forward Diff. |     4.398 |     1.237 |    0.1402 |  -0.09195 |
+#&gt; |.....................|    0.3940 |     1.388 |    -4.885 |     3.322 |
+#&gt; |.....................|   -0.1374 |   0.01792 |   -0.6865 |    -2.709 |
+#&gt; |.....................|     2.810 |     1.778 |    0.8100 |    -2.095 |
+#&gt; |<span style='font-weight: bold;'>   45</span>|     474.76763 |     1.001 |    -1.153 |   -0.9247 |   -0.9380 |
+#&gt; |.....................|    -1.006 |   -0.9804 |   0.04256 |   -0.7584 |
+#&gt; |.....................|   -0.7597 |   -0.8824 |   -0.7979 |    -1.088 |
+#&gt; |.....................|   -0.5086 |   -0.8621 |    -1.063 |   -0.2293 |
+#&gt; |    U|     474.76763 |     91.11 |    -5.353 |   -0.9027 |    -2.200 |
+#&gt; |.....................|    -4.619 |    0.4149 |     1.211 |   0.06184 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7887 |    0.7097 |
+#&gt; |.....................|     1.608 |    0.9650 |    0.7001 |     1.988 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.76763</span> |     91.11 |  0.004734 |    0.2885 |    0.1108 |
+#&gt; |.....................|  0.009867 |    0.6023 |     1.211 |   0.06184 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7887 |    0.7097 |
+#&gt; |.....................|     1.608 |    0.9650 |    0.7001 |     1.988 |
+#&gt; |    F| Forward Diff. |    -14.92 |     1.222 |   -0.1466 |  -0.06186 |
+#&gt; |.....................|    0.4014 |     1.433 |    -4.989 |     3.157 |
+#&gt; |.....................|   -0.1326 |   0.08284 |   -0.6789 |    -2.803 |
+#&gt; |.....................|     2.814 |     1.775 |    0.8327 |    -2.053 |
+#&gt; |<span style='font-weight: bold;'>   46</span>|     474.71973 |     1.004 |    -1.154 |   -0.9246 |   -0.9379 |
+#&gt; |.....................|    -1.006 |   -0.9816 |   0.04617 |   -0.7611 |
+#&gt; |.....................|   -0.7597 |   -0.8824 |   -0.7975 |    -1.087 |
+#&gt; |.....................|   -0.5100 |   -0.8614 |    -1.064 |   -0.2281 |
+#&gt; |    U|     474.71973 |     91.32 |    -5.354 |   -0.9026 |    -2.200 |
+#&gt; |.....................|    -4.619 |    0.4143 |     1.212 |   0.06176 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7890 |    0.7100 |
+#&gt; |.....................|     1.606 |    0.9656 |    0.6996 |     1.990 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.71973</span> |     91.32 |  0.004729 |    0.2885 |    0.1108 |
+#&gt; |.....................|  0.009863 |    0.6021 |     1.212 |   0.06176 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7890 |    0.7100 |
+#&gt; |.....................|     1.606 |    0.9656 |    0.6996 |     1.990 |
+#&gt; |    F| Forward Diff. |     4.021 |     1.236 |    0.1299 |  -0.09158 |
+#&gt; |.....................|    0.3929 |     1.368 |    -4.925 |     3.331 |
+#&gt; |.....................|  -0.07142 |   0.08893 |   -0.6522 |    -2.634 |
+#&gt; |.....................|     2.639 |     1.780 |    0.7273 |    -2.085 |
+#&gt; |<span style='font-weight: bold;'>   47</span>|     474.70040 |     1.001 |    -1.155 |   -0.9247 |   -0.9379 |
+#&gt; |.....................|    -1.007 |   -0.9826 |   0.04954 |   -0.7634 |
+#&gt; |.....................|   -0.7597 |   -0.8825 |   -0.7971 |    -1.086 |
+#&gt; |.....................|   -0.5117 |   -0.8624 |    -1.064 |   -0.2267 |
+#&gt; |    U|      474.7004 |     91.10 |    -5.355 |   -0.9027 |    -2.200 |
+#&gt; |.....................|    -4.619 |    0.4139 |     1.214 |   0.06169 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7893 |    0.7114 |
+#&gt; |.....................|     1.604 |    0.9647 |    0.6992 |     1.991 |
+#&gt; |    X|<span style='font-weight: bold;'>      474.7004</span> |     91.10 |  0.004724 |    0.2885 |    0.1108 |
+#&gt; |.....................|  0.009861 |    0.6020 |     1.214 |   0.06169 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7893 |    0.7114 |
+#&gt; |.....................|     1.604 |    0.9647 |    0.6992 |     1.991 |
+#&gt; |    F| Forward Diff. |    -15.76 |     1.220 |   -0.1617 |  -0.06091 |
+#&gt; |.....................|    0.4007 |     1.415 |    -5.116 |     3.166 |
+#&gt; |.....................|   -0.1298 |   0.07714 |   -0.6701 |    -2.700 |
+#&gt; |.....................|     2.670 |     1.748 |    0.7590 |    -2.043 |
+#&gt; |<span style='font-weight: bold;'>   48</span>|     474.65116 |     1.003 |    -1.156 |   -0.9246 |   -0.9378 |
+#&gt; |.....................|    -1.007 |   -0.9837 |   0.05321 |   -0.7662 |
+#&gt; |.....................|   -0.7598 |   -0.8825 |   -0.7967 |    -1.086 |
+#&gt; |.....................|   -0.5130 |   -0.8617 |    -1.065 |   -0.2255 |
+#&gt; |    U|     474.65116 |     91.32 |    -5.356 |   -0.9026 |    -2.200 |
+#&gt; |.....................|    -4.620 |    0.4134 |     1.215 |   0.06161 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7896 |    0.7116 |
+#&gt; |.....................|     1.603 |    0.9653 |    0.6987 |     1.993 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.65116</span> |     91.32 |  0.004720 |    0.2885 |    0.1108 |
+#&gt; |.....................|  0.009857 |    0.6019 |     1.215 |   0.06161 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7896 |    0.7116 |
+#&gt; |.....................|     1.603 |    0.9653 |    0.6987 |     1.993 |
+#&gt; |    F| Forward Diff. |     3.462 |     1.239 |    0.1107 |  -0.09136 |
+#&gt; |.....................|    0.3915 |     1.348 |    -5.441 |     3.268 |
+#&gt; |.....................|   -0.1113 |   0.02510 |   -0.6252 |    -2.485 |
+#&gt; |.....................|     2.647 |     1.796 |    0.6587 |    -2.076 |
+#&gt; |<span style='font-weight: bold;'>   49</span>|     474.63065 |     1.001 |    -1.157 |   -0.9247 |   -0.9377 |
+#&gt; |.....................|    -1.007 |   -0.9846 |   0.05678 |   -0.7683 |
+#&gt; |.....................|   -0.7597 |   -0.8825 |   -0.7963 |    -1.084 |
+#&gt; |.....................|   -0.5148 |   -0.8629 |    -1.065 |   -0.2241 |
+#&gt; |    U|     474.63065 |     91.11 |    -5.357 |   -0.9027 |    -2.200 |
+#&gt; |.....................|    -4.620 |    0.4129 |     1.217 |   0.06155 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7899 |    0.7131 |
+#&gt; |.....................|     1.600 |    0.9642 |    0.6984 |     1.994 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.63065</span> |     91.11 |  0.004716 |    0.2885 |    0.1108 |
+#&gt; |.....................|  0.009855 |    0.6018 |     1.217 |   0.06155 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7899 |    0.7131 |
+#&gt; |.....................|     1.600 |    0.9642 |    0.6984 |     1.994 |
+#&gt; |    F| Forward Diff. |    -14.93 |     1.220 |   -0.1531 |  -0.06288 |
+#&gt; |.....................|    0.3983 |     1.394 |    -5.436 |     3.113 |
+#&gt; |.....................|   -0.1458 |   0.07621 |   -0.8397 |   -0.6848 |
+#&gt; |.....................|     2.501 |     1.690 |    0.6891 |    -2.034 |
+#&gt; |<span style='font-weight: bold;'>   50</span>|     474.58497 |     1.004 |    -1.158 |   -0.9246 |   -0.9376 |
+#&gt; |.....................|    -1.008 |   -0.9857 |   0.06060 |   -0.7708 |
+#&gt; |.....................|   -0.7598 |   -0.8826 |   -0.7958 |    -1.084 |
+#&gt; |.....................|   -0.5162 |   -0.8624 |    -1.065 |   -0.2230 |
+#&gt; |    U|     474.58497 |     91.34 |    -5.358 |   -0.9027 |    -2.200 |
+#&gt; |.....................|    -4.620 |    0.4125 |     1.218 |   0.06148 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7902 |    0.7126 |
+#&gt; |.....................|     1.599 |    0.9647 |    0.6980 |     1.996 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.58497</span> |     91.34 |  0.004711 |    0.2885 |    0.1108 |
+#&gt; |.....................|  0.009852 |    0.6017 |     1.218 |   0.06148 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7902 |    0.7126 |
+#&gt; |.....................|     1.599 |    0.9647 |    0.6980 |     1.996 |
+#&gt; |    F| Forward Diff. |     5.248 |     1.234 |    0.1371 |  -0.09456 |
+#&gt; |.....................|    0.3896 |     1.328 |    -5.011 |     3.180 |
+#&gt; |.....................|   -0.1110 |  0.004022 |   -0.8103 |   -0.4964 |
+#&gt; |.....................|     2.349 |     1.713 |    0.5705 |    -2.061 |
+#&gt; |<span style='font-weight: bold;'>   51</span>|     474.55760 |     1.002 |    -1.159 |   -0.9247 |   -0.9376 |
+#&gt; |.....................|    -1.008 |   -0.9867 |   0.06444 |   -0.7734 |
+#&gt; |.....................|   -0.7598 |   -0.8826 |   -0.7952 |    -1.085 |
+#&gt; |.....................|   -0.5178 |   -0.8626 |    -1.066 |   -0.2215 |
+#&gt; |    U|      474.5576 |     91.15 |    -5.359 |   -0.9027 |    -2.200 |
+#&gt; |.....................|    -4.620 |    0.4120 |     1.220 |   0.06140 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7907 |    0.7122 |
+#&gt; |.....................|     1.597 |    0.9645 |    0.6977 |     1.998 |
+#&gt; |    X|<span style='font-weight: bold;'>      474.5576</span> |     91.15 |  0.004706 |    0.2885 |    0.1108 |
+#&gt; |.....................|  0.009849 |    0.6016 |     1.220 |   0.06140 |
+#&gt; |.....................|    0.8777 |   0.05824 |    0.7907 |    0.7122 |
+#&gt; |.....................|     1.597 |    0.9645 |    0.6977 |     1.998 |
+#&gt; |    F| Forward Diff. |    -11.86 |     1.219 |   -0.1003 |  -0.07615 |
+#&gt; |.....................|    0.3954 |     1.369 |    -4.929 |     3.171 |
+#&gt; |.....................|   -0.1229 |   0.06540 |   -0.8183 |   -0.7141 |
+#&gt; |.....................|     2.360 |     1.696 |    0.6359 |    -2.032 |
+#&gt; |<span style='font-weight: bold;'>   52</span>|     474.51619 |     1.004 |    -1.160 |   -0.9246 |   -0.9375 |
+#&gt; |.....................|    -1.008 |   -0.9878 |   0.06816 |   -0.7761 |
+#&gt; |.....................|   -0.7599 |   -0.8826 |   -0.7946 |    -1.086 |
+#&gt; |.....................|   -0.5193 |   -0.8622 |    -1.066 |   -0.2202 |
+#&gt; |    U|     474.51619 |     91.33 |    -5.360 |   -0.9027 |    -2.200 |
+#&gt; |.....................|    -4.621 |    0.4115 |     1.221 |   0.06132 |
+#&gt; |.....................|    0.8776 |   0.05823 |    0.7911 |    0.7113 |
+#&gt; |.....................|     1.595 |    0.9648 |    0.6972 |     1.999 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.51619</span> |     91.33 |  0.004702 |    0.2885 |    0.1108 |
+#&gt; |.....................|  0.009846 |    0.6014 |     1.221 |   0.06132 |
+#&gt; |.....................|    0.8776 |   0.05823 |    0.7911 |    0.7113 |
+#&gt; |.....................|     1.595 |    0.9648 |    0.6972 |     1.999 |
+#&gt; |    F| Forward Diff. |     4.413 |     1.225 |    0.1371 |  -0.09620 |
+#&gt; |.....................|    0.3880 |     1.314 |    -5.554 |     3.197 |
+#&gt; |.....................|  -0.07604 |  0.008867 |   -0.7931 |   -0.6282 |
+#&gt; |.....................|     2.148 |     1.715 |    0.5273 |    -2.052 |
+#&gt; |<span style='font-weight: bold;'>   53</span>|     474.48673 |     1.002 |    -1.161 |   -0.9247 |   -0.9374 |
+#&gt; |.....................|    -1.009 |   -0.9889 |   0.07224 |   -0.7786 |
+#&gt; |.....................|   -0.7599 |   -0.8826 |   -0.7941 |    -1.086 |
+#&gt; |.....................|   -0.5208 |   -0.8625 |    -1.067 |   -0.2188 |
+#&gt; |    U|     474.48673 |     91.17 |    -5.361 |   -0.9027 |    -2.200 |
+#&gt; |.....................|    -4.621 |    0.4110 |     1.223 |   0.06125 |
+#&gt; |.....................|    0.8776 |   0.05823 |    0.7915 |    0.7110 |
+#&gt; |.....................|     1.593 |    0.9645 |    0.6969 |     2.001 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.48673</span> |     91.17 |  0.004697 |    0.2885 |    0.1108 |
+#&gt; |.....................|  0.009843 |    0.6013 |     1.223 |   0.06125 |
+#&gt; |.....................|    0.8776 |   0.05823 |    0.7915 |    0.7110 |
+#&gt; |.....................|     1.593 |    0.9645 |    0.6969 |     2.001 |
+#&gt; |    F| Forward Diff. |    -10.51 |     1.211 |  -0.06554 |  -0.07429 |
+#&gt; |.....................|    0.3932 |     1.350 |    -4.456 |     3.182 |
+#&gt; |.....................|  -0.08901 |   0.05354 |   -0.5957 |    -2.739 |
+#&gt; |.....................|     2.160 |     1.696 |    0.5687 |    -2.022 |
+#&gt; |<span style='font-weight: bold;'>   54</span>|     474.45218 |     1.004 |    -1.162 |   -0.9246 |   -0.9373 |
+#&gt; |.....................|    -1.009 |   -0.9900 |   0.07590 |   -0.7814 |
+#&gt; |.....................|   -0.7601 |   -0.8826 |   -0.7937 |    -1.086 |
+#&gt; |.....................|   -0.5220 |   -0.8620 |    -1.067 |   -0.2177 |
+#&gt; |    U|     474.45218 |     91.40 |    -5.362 |   -0.9027 |    -2.200 |
+#&gt; |.....................|    -4.621 |    0.4105 |     1.224 |   0.06117 |
+#&gt; |.....................|    0.8776 |   0.05823 |    0.7918 |    0.7111 |
+#&gt; |.....................|     1.592 |    0.9650 |    0.6965 |     2.002 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.45218</span> |     91.40 |  0.004692 |    0.2885 |    0.1108 |
+#&gt; |.....................|  0.009840 |    0.6012 |     1.224 |   0.06117 |
+#&gt; |.....................|    0.8776 |   0.05823 |    0.7918 |    0.7111 |
+#&gt; |.....................|     1.592 |    0.9650 |    0.6965 |     2.002 |
+#&gt; |    F| Forward Diff. |     9.724 |     1.224 |    0.2009 |   -0.1069 |
+#&gt; |.....................|    0.3834 |     1.279 |    -5.556 |     3.324 |
+#&gt; |.....................|   -0.1101 |  -0.01912 |   -0.5638 |    -2.553 |
+#&gt; |.....................|     2.043 |     1.731 |    0.4140 |    -2.044 |
+#&gt; |<span style='font-weight: bold;'>   55</span>|     474.41257 |     1.003 |    -1.163 |   -0.9246 |   -0.9371 |
+#&gt; |.....................|    -1.009 |   -0.9913 |   0.07979 |   -0.7844 |
+#&gt; |.....................|   -0.7601 |   -0.8825 |   -0.7935 |    -1.085 |
+#&gt; |.....................|   -0.5231 |   -0.8612 |    -1.068 |   -0.2167 |
+#&gt; |    U|     474.41257 |     91.25 |    -5.363 |   -0.9026 |    -2.199 |
+#&gt; |.....................|    -4.622 |    0.4099 |     1.226 |   0.06108 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7919 |    0.7118 |
+#&gt; |.....................|     1.591 |    0.9658 |    0.6961 |     2.004 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.41257</span> |     91.25 |  0.004687 |    0.2885 |    0.1109 |
+#&gt; |.....................|  0.009836 |    0.6011 |     1.226 |   0.06108 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7919 |    0.7118 |
+#&gt; |.....................|     1.591 |    0.9658 |    0.6961 |     2.004 |
+#&gt; |    F| Forward Diff. |    -3.208 |     1.213 |   0.03978 |  -0.08693 |
+#&gt; |.....................|    0.3876 |     1.303 |    -5.023 |     3.218 |
+#&gt; |.....................|   -0.1347 |   0.02311 |   -0.7771 |   -0.6556 |
+#&gt; |.....................|     2.056 |     1.822 |    0.4520 |    -2.025 |
+#&gt; |<span style='font-weight: bold;'>   56</span>|     474.39271 |     1.005 |    -1.164 |   -0.9246 |   -0.9371 |
+#&gt; |.....................|    -1.010 |   -0.9922 |   0.08348 |   -0.7867 |
+#&gt; |.....................|   -0.7600 |   -0.8825 |   -0.7930 |    -1.085 |
+#&gt; |.....................|   -0.5246 |   -0.8625 |    -1.068 |   -0.2152 |
+#&gt; |    U|     474.39271 |     91.47 |    -5.364 |   -0.9027 |    -2.199 |
+#&gt; |.....................|    -4.622 |    0.4094 |     1.228 |   0.06101 |
+#&gt; |.....................|    0.8776 |   0.05824 |    0.7923 |    0.7123 |
+#&gt; |.....................|     1.589 |    0.9645 |    0.6958 |     2.005 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.39271</span> |     91.47 |  0.004683 |    0.2885 |    0.1109 |
+#&gt; |.....................|  0.009833 |    0.6010 |     1.228 |   0.06101 |
+#&gt; |.....................|    0.8776 |   0.05824 |    0.7923 |    0.7123 |
+#&gt; |.....................|     1.589 |    0.9645 |    0.6958 |     2.005 |
+#&gt; |    F| Forward Diff. |     15.86 |     1.227 |    0.2807 |   -0.1163 |
+#&gt; |.....................|    0.3793 |     1.243 |    -5.494 |     3.329 |
+#&gt; |.....................|  -0.09368 |   0.01293 |   -0.5149 |    -2.407 |
+#&gt; |.....................|     1.979 |     1.686 |    0.3308 |    -2.044 |
+#&gt; |<span style='font-weight: bold;'>   57</span>|     474.34538 |     1.003 |    -1.165 |   -0.9247 |   -0.9369 |
+#&gt; |.....................|    -1.010 |   -0.9934 |   0.08718 |   -0.7897 |
+#&gt; |.....................|   -0.7601 |   -0.8825 |   -0.7926 |    -1.086 |
+#&gt; |.....................|   -0.5258 |   -0.8620 |    -1.068 |   -0.2141 |
+#&gt; |    U|     474.34538 |     91.27 |    -5.365 |   -0.9027 |    -2.199 |
+#&gt; |.....................|    -4.622 |    0.4089 |     1.229 |   0.06093 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7926 |    0.7117 |
+#&gt; |.....................|     1.587 |    0.9650 |    0.6954 |     2.007 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.34538</span> |     91.27 |  0.004677 |    0.2885 |    0.1109 |
+#&gt; |.....................|  0.009830 |    0.6008 |     1.229 |   0.06093 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7926 |    0.7117 |
+#&gt; |.....................|     1.587 |    0.9650 |    0.6954 |     2.007 |
+#&gt; |    F| Forward Diff. |    -2.345 |     1.210 |   0.04189 |  -0.08986 |
+#&gt; |.....................|    0.3855 |     1.284 |    -5.145 |     3.218 |
+#&gt; |.....................|   -0.1284 |   0.01309 |   -0.7466 |   -0.6536 |
+#&gt; |.....................|     1.964 |     1.743 |    0.3816 |    -2.008 |
+#&gt; |<span style='font-weight: bold;'>   58</span>|     474.31834 |     1.005 |    -1.166 |   -0.9247 |   -0.9369 |
+#&gt; |.....................|    -1.010 |   -0.9944 |   0.09109 |   -0.7921 |
+#&gt; |.....................|   -0.7600 |   -0.8825 |   -0.7920 |    -1.085 |
+#&gt; |.....................|   -0.5273 |   -0.8633 |    -1.069 |   -0.2126 |
+#&gt; |    U|     474.31834 |     91.43 |    -5.366 |   -0.9027 |    -2.199 |
+#&gt; |.....................|    -4.623 |    0.4085 |     1.231 |   0.06086 |
+#&gt; |.....................|    0.8776 |   0.05824 |    0.7930 |    0.7121 |
+#&gt; |.....................|     1.586 |    0.9638 |    0.6952 |     2.008 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.31834</span> |     91.43 |  0.004673 |    0.2885 |    0.1109 |
+#&gt; |.....................|  0.009827 |    0.6007 |     1.231 |   0.06086 |
+#&gt; |.....................|    0.8776 |   0.05824 |    0.7930 |    0.7121 |
+#&gt; |.....................|     1.586 |    0.9638 |    0.6952 |     2.008 |
+#&gt; |    F| Forward Diff. |     12.13 |     1.219 |    0.2312 |   -0.1125 |
+#&gt; |.....................|    0.3787 |     1.238 |    -5.317 |     3.196 |
+#&gt; |.....................|  -0.08361 |  -0.02599 |   -0.7000 |   -0.4940 |
+#&gt; |.....................|     1.837 |     1.637 |    0.3211 |    -2.028 |
+#&gt; |<span style='font-weight: bold;'>   59</span>|     474.27833 |     1.003 |    -1.167 |   -0.9247 |   -0.9368 |
+#&gt; |.....................|    -1.010 |   -0.9955 |   0.09487 |   -0.7949 |
+#&gt; |.....................|   -0.7601 |   -0.8825 |   -0.7915 |    -1.086 |
+#&gt; |.....................|   -0.5286 |   -0.8630 |    -1.069 |   -0.2114 |
+#&gt; |    U|     474.27833 |     91.25 |    -5.367 |   -0.9028 |    -2.199 |
+#&gt; |.....................|    -4.623 |    0.4080 |     1.232 |   0.06078 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7934 |    0.7111 |
+#&gt; |.....................|     1.584 |    0.9640 |    0.6948 |     2.010 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.27833</span> |     91.25 |  0.004668 |    0.2885 |    0.1109 |
+#&gt; |.....................|  0.009824 |    0.6006 |     1.232 |   0.06078 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7934 |    0.7111 |
+#&gt; |.....................|     1.584 |    0.9640 |    0.6948 |     2.010 |
+#&gt; |    F| Forward Diff. |    -4.145 |     1.202 |   0.02355 |  -0.08919 |
+#&gt; |.....................|    0.3842 |     1.275 |    -5.102 |     3.189 |
+#&gt; |.....................|   -0.1071 |   0.01700 |   -0.7283 |   -0.7209 |
+#&gt; |.....................|     1.776 |     1.686 |    0.3249 |    -1.982 |
+#&gt; |<span style='font-weight: bold;'>   60</span>|     474.25305 |     1.005 |    -1.168 |   -0.9247 |   -0.9367 |
+#&gt; |.....................|    -1.011 |   -0.9965 |   0.09878 |   -0.7975 |
+#&gt; |.....................|   -0.7601 |   -0.8825 |   -0.7909 |    -1.086 |
+#&gt; |.....................|   -0.5300 |   -0.8636 |    -1.069 |   -0.2100 |
+#&gt; |    U|     474.25305 |     91.44 |    -5.368 |   -0.9028 |    -2.199 |
+#&gt; |.....................|    -4.623 |    0.4075 |     1.234 |   0.06070 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7938 |    0.7109 |
+#&gt; |.....................|     1.583 |    0.9635 |    0.6946 |     2.012 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.25305</span> |     91.44 |  0.004663 |    0.2885 |    0.1109 |
+#&gt; |.....................|  0.009821 |    0.6005 |     1.234 |   0.06070 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7938 |    0.7109 |
+#&gt; |.....................|     1.583 |    0.9635 |    0.6946 |     2.012 |
+#&gt; |    F| Forward Diff. |     13.11 |     1.213 |    0.2527 |   -0.1161 |
+#&gt; |.....................|    0.3767 |     1.219 |    -5.003 |     3.213 |
+#&gt; |.....................|  -0.09270 |  -0.04298 |   -0.4814 |    -2.533 |
+#&gt; |.....................|     1.730 |     1.613 |    0.2495 |    -2.014 |
+#&gt; |<span style='font-weight: bold;'>   61</span>|     474.21254 |     1.003 |    -1.169 |   -0.9248 |   -0.9365 |
+#&gt; |.....................|    -1.011 |   -0.9977 |    0.1025 |   -0.8005 |
+#&gt; |.....................|   -0.7602 |   -0.8824 |   -0.7906 |    -1.087 |
+#&gt; |.....................|   -0.5311 |   -0.8630 |    -1.070 |   -0.2089 |
+#&gt; |    U|     474.21254 |     91.24 |    -5.369 |   -0.9028 |    -2.199 |
+#&gt; |.....................|    -4.624 |    0.4069 |     1.236 |   0.06062 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7941 |    0.7105 |
+#&gt; |.....................|     1.581 |    0.9641 |    0.6942 |     2.013 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.21254</span> |     91.24 |  0.004658 |    0.2885 |    0.1109 |
+#&gt; |.....................|  0.009817 |    0.6003 |     1.236 |   0.06062 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7941 |    0.7105 |
+#&gt; |.....................|     1.581 |    0.9641 |    0.6942 |     2.013 |
+#&gt; |    F| Forward Diff. |    -5.267 |     1.195 |   0.01760 |  -0.08987 |
+#&gt; |.....................|    0.3825 |     1.260 |    -5.272 |     3.141 |
+#&gt; |.....................|   -0.1336 |  0.009843 |   -0.5186 |    -2.706 |
+#&gt; |.....................|     1.727 |     1.652 |    0.2904 |    -1.976 |
+#&gt; |<span style='font-weight: bold;'>   62</span>|     474.18171 |     1.004 |    -1.170 |   -0.9247 |   -0.9364 |
+#&gt; |.....................|    -1.011 |   -0.9989 |    0.1065 |   -0.8033 |
+#&gt; |.....................|   -0.7602 |   -0.8823 |   -0.7904 |    -1.086 |
+#&gt; |.....................|   -0.5322 |   -0.8627 |    -1.070 |   -0.2078 |
+#&gt; |    U|     474.18171 |     91.41 |    -5.370 |   -0.9028 |    -2.199 |
+#&gt; |.....................|    -4.624 |    0.4064 |     1.237 |   0.06054 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7942 |    0.7112 |
+#&gt; |.....................|     1.580 |    0.9644 |    0.6939 |     2.014 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.18171</span> |     91.41 |  0.004653 |    0.2885 |    0.1109 |
+#&gt; |.....................|  0.009814 |    0.6002 |     1.237 |   0.06054 |
+#&gt; |.....................|    0.8775 |   0.05824 |    0.7942 |    0.7112 |
+#&gt; |.....................|     1.580 |    0.9644 |    0.6939 |     2.014 |
+#&gt; |    F| Forward Diff. |     9.716 |     1.206 |    0.2113 |   -0.1128 |
+#&gt; |.....................|    0.3755 |     1.207 |    -5.399 |     3.226 |
+#&gt; |.....................|  -0.09670 |  -0.03459 |   -0.6713 |   -0.5638 |
+#&gt; |.....................|     1.619 |     1.687 |    0.2005 |    -1.998 |
+#&gt; |<span style='font-weight: bold;'>   63</span>|     474.14509 |     1.003 |    -1.171 |   -0.9248 |   -0.9363 |
+#&gt; |.....................|    -1.012 |    -1.000 |    0.1105 |   -0.8061 |
+#&gt; |.....................|   -0.7602 |   -0.8822 |   -0.7900 |    -1.087 |
+#&gt; |.....................|   -0.5333 |   -0.8621 |    -1.071 |   -0.2068 |
+#&gt; |    U|     474.14509 |     91.25 |    -5.371 |   -0.9028 |    -2.199 |
+#&gt; |.....................|    -4.624 |    0.4059 |     1.239 |   0.06045 |
+#&gt; |.....................|    0.8775 |   0.05825 |    0.7945 |    0.7106 |
+#&gt; |.....................|     1.579 |    0.9649 |    0.6936 |     2.015 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.14509</span> |     91.25 |  0.004648 |    0.2885 |    0.1110 |
+#&gt; |.....................|  0.009811 |    0.6001 |     1.239 |   0.06045 |
+#&gt; |.....................|    0.8775 |   0.05825 |    0.7945 |    0.7106 |
+#&gt; |.....................|     1.579 |    0.9649 |    0.6936 |     2.015 |
+#&gt; |    F| Forward Diff. |    -5.280 |     1.192 |   0.02321 |  -0.09129 |
+#&gt; |.....................|    0.3799 |     1.239 |    -5.339 |     3.156 |
+#&gt; |.....................|   -0.1074 |   0.06181 |   -0.4875 |    -2.680 |
+#&gt; |.....................|     1.648 |     1.743 |    0.2195 |    -1.955 |
+#&gt; |<span style='font-weight: bold;'>   64</span>|     474.11542 |     1.005 |    -1.172 |   -0.9248 |   -0.9361 |
+#&gt; |.....................|    -1.012 |    -1.001 |    0.1146 |   -0.8089 |
+#&gt; |.....................|   -0.7603 |   -0.8821 |   -0.7897 |    -1.086 |
+#&gt; |.....................|   -0.5344 |   -0.8621 |    -1.071 |   -0.2057 |
+#&gt; |    U|     474.11542 |     91.42 |    -5.372 |   -0.9028 |    -2.199 |
+#&gt; |.....................|    -4.625 |    0.4054 |     1.241 |   0.06037 |
+#&gt; |.....................|    0.8774 |   0.05825 |    0.7947 |    0.7110 |
+#&gt; |.....................|     1.577 |    0.9649 |    0.6934 |     2.017 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.11542</span> |     91.42 |  0.004643 |    0.2885 |    0.1110 |
+#&gt; |.....................|  0.009807 |    0.6000 |     1.241 |   0.06037 |
+#&gt; |.....................|    0.8774 |   0.05825 |    0.7947 |    0.7110 |
+#&gt; |.....................|     1.577 |    0.9649 |    0.6934 |     2.017 |
+#&gt; |    F| Forward Diff. |     10.52 |     1.202 |    0.2258 |   -0.1162 |
+#&gt; |.....................|    0.3725 |     1.186 |    -5.381 |     3.222 |
+#&gt; |.....................|   -0.1104 |  -0.04157 |   -0.6550 |   -0.5841 |
+#&gt; |.....................|     1.505 |     1.701 |    0.1753 |    -1.993 |
+#&gt; |<span style='font-weight: bold;'>   65</span>|     474.07794 |     1.003 |    -1.173 |   -0.9248 |   -0.9360 |
+#&gt; |.....................|    -1.012 |    -1.002 |    0.1187 |   -0.8117 |
+#&gt; |.....................|   -0.7604 |   -0.8821 |   -0.7895 |    -1.087 |
+#&gt; |.....................|   -0.5355 |   -0.8615 |    -1.071 |   -0.2048 |
+#&gt; |    U|     474.07794 |     91.25 |    -5.373 |   -0.9028 |    -2.198 |
+#&gt; |.....................|    -4.625 |    0.4048 |     1.242 |   0.06029 |
+#&gt; |.....................|    0.8774 |   0.05825 |    0.7949 |    0.7104 |
+#&gt; |.....................|     1.576 |    0.9655 |    0.6932 |     2.018 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.07794</span> |     91.25 |  0.004638 |    0.2885 |    0.1110 |
+#&gt; |.....................|  0.009804 |    0.5999 |     1.242 |   0.06029 |
+#&gt; |.....................|    0.8774 |   0.05825 |    0.7949 |    0.7104 |
+#&gt; |.....................|     1.576 |    0.9655 |    0.6932 |     2.018 |
+#&gt; |    F| Forward Diff. |    -4.801 |     1.188 |   0.03689 |  -0.09236 |
+#&gt; |.....................|    0.3785 |     1.221 |    -5.368 |     3.104 |
+#&gt; |.....................|   -0.1066 |  0.003449 |   -0.6711 |   -0.7398 |
+#&gt; |.....................|     1.563 |     1.803 |    0.1884 |    -1.939 |
+#&gt; |<span style='font-weight: bold;'>   66</span>|     474.04951 |     1.005 |    -1.175 |   -0.9248 |   -0.9359 |
+#&gt; |.....................|    -1.013 |    -1.003 |    0.1228 |   -0.8144 |
+#&gt; |.....................|   -0.7604 |   -0.8820 |   -0.7890 |    -1.087 |
+#&gt; |.....................|   -0.5367 |   -0.8618 |    -1.071 |   -0.2036 |
+#&gt; |    U|     474.04951 |     91.43 |    -5.375 |   -0.9028 |    -2.198 |
+#&gt; |.....................|    -4.625 |    0.4044 |     1.244 |   0.06021 |
+#&gt; |.....................|    0.8774 |   0.05825 |    0.7952 |    0.7100 |
+#&gt; |.....................|     1.575 |    0.9652 |    0.6930 |     2.019 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.04951</span> |     91.43 |  0.004633 |    0.2885 |    0.1110 |
+#&gt; |.....................|  0.009801 |    0.5997 |     1.244 |   0.06021 |
+#&gt; |.....................|    0.8774 |   0.05825 |    0.7952 |    0.7100 |
+#&gt; |.....................|     1.575 |    0.9652 |    0.6930 |     2.019 |
+#&gt; |    F| Forward Diff. |     10.86 |     1.196 |    0.2377 |   -0.1190 |
+#&gt; |.....................|    0.3700 |     1.169 |    -5.399 |     3.259 |
+#&gt; |.....................|  -0.09645 |  -0.03914 |   -0.4400 |    -2.610 |
+#&gt; |.....................|     1.421 |     1.705 |    0.1351 |    -1.978 |
+#&gt; |<span style='font-weight: bold;'>   67</span>|     474.01246 |     1.003 |    -1.176 |   -0.9249 |   -0.9357 |
+#&gt; |.....................|    -1.013 |    -1.004 |    0.1268 |   -0.8173 |
+#&gt; |.....................|   -0.7606 |   -0.8819 |   -0.7888 |    -1.088 |
+#&gt; |.....................|   -0.5377 |   -0.8613 |    -1.072 |   -0.2028 |
+#&gt; |    U|     474.01246 |     91.25 |    -5.376 |   -0.9029 |    -2.198 |
+#&gt; |.....................|    -4.626 |    0.4039 |     1.246 |   0.06013 |
+#&gt; |.....................|    0.8773 |   0.05825 |    0.7954 |    0.7098 |
+#&gt; |.....................|     1.573 |    0.9657 |    0.6927 |     2.020 |
+#&gt; |    X|<span style='font-weight: bold;'>     474.01246</span> |     91.25 |  0.004628 |    0.2885 |    0.1110 |
+#&gt; |.....................|  0.009798 |    0.5996 |     1.246 |   0.06013 |
+#&gt; |.....................|    0.8773 |   0.05825 |    0.7954 |    0.7098 |
+#&gt; |.....................|     1.573 |    0.9657 |    0.6927 |     2.020 |
+#&gt; |    F| Forward Diff. |    -5.724 |     1.179 |   0.03043 |  -0.09493 |
+#&gt; |.....................|    0.3750 |     1.206 |    -5.283 |     3.092 |
+#&gt; |.....................|  -0.09863 |  -0.01543 |   -0.6573 |   -0.7980 |
+#&gt; |.....................|     1.377 |     1.778 |    0.1578 |    -1.944 |
+#&gt; |<span style='font-weight: bold;'>   68</span>|     473.98155 |     1.005 |    -1.177 |   -0.9249 |   -0.9356 |
+#&gt; |.....................|    -1.013 |    -1.005 |    0.1310 |   -0.8202 |
+#&gt; |.....................|   -0.7607 |   -0.8818 |   -0.7885 |    -1.088 |
+#&gt; |.....................|   -0.5387 |   -0.8611 |    -1.072 |   -0.2018 |
+#&gt; |    U|     473.98155 |     91.42 |    -5.377 |   -0.9029 |    -2.198 |
+#&gt; |.....................|    -4.626 |    0.4034 |     1.247 |   0.06004 |
+#&gt; |.....................|    0.8773 |   0.05826 |    0.7956 |    0.7095 |
+#&gt; |.....................|     1.572 |    0.9659 |    0.6925 |     2.022 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.98155</span> |     91.42 |  0.004623 |    0.2885 |    0.1110 |
+#&gt; |.....................|  0.009794 |    0.5995 |     1.247 |   0.06004 |
+#&gt; |.....................|    0.8773 |   0.05826 |    0.7956 |    0.7095 |
+#&gt; |.....................|     1.572 |    0.9659 |    0.6925 |     2.022 |
+#&gt; |    F| Forward Diff. |     9.125 |     1.189 |    0.2215 |   -0.1183 |
+#&gt; |.....................|    0.3680 |     1.157 |    -5.346 |     3.214 |
+#&gt; |.....................|  -0.06695 |  -0.05805 |   -0.6245 |   -0.6678 |
+#&gt; |.....................|     1.365 |     1.770 |   0.07348 |    -1.960 |
+#&gt; |<span style='font-weight: bold;'>   69</span>|     473.94647 |     1.003 |    -1.178 |   -0.9250 |   -0.9354 |
+#&gt; |.....................|    -1.014 |    -1.007 |    0.1350 |   -0.8231 |
+#&gt; |.....................|   -0.7608 |   -0.8817 |   -0.7881 |    -1.089 |
+#&gt; |.....................|   -0.5397 |   -0.8608 |    -1.072 |   -0.2009 |
+#&gt; |    U|     473.94647 |     91.26 |    -5.378 |   -0.9030 |    -2.198 |
+#&gt; |.....................|    -4.626 |    0.4029 |     1.249 |   0.05996 |
+#&gt; |.....................|    0.8772 |   0.05826 |    0.7959 |    0.7086 |
+#&gt; |.....................|     1.571 |    0.9661 |    0.6923 |     2.023 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.94647</span> |     91.26 |  0.004618 |    0.2884 |    0.1110 |
+#&gt; |.....................|  0.009791 |    0.5994 |     1.249 |   0.05996 |
+#&gt; |.....................|    0.8772 |   0.05826 |    0.7959 |    0.7086 |
+#&gt; |.....................|     1.571 |    0.9661 |    0.6923 |     2.023 |
+#&gt; |    F| Forward Diff. |    -5.271 |     1.174 |   0.04603 |  -0.09766 |
+#&gt; |.....................|    0.3725 |     1.188 |    -5.320 |     3.084 |
+#&gt; |.....................|  -0.09768 |  -0.01918 |   -0.6378 |   -0.8469 |
+#&gt; |.....................|     1.360 |     1.825 |   0.08453 |    -1.920 |
+#&gt; |<span style='font-weight: bold;'>   70</span>|     473.91708 |     1.005 |    -1.179 |   -0.9250 |   -0.9353 |
+#&gt; |.....................|    -1.014 |    -1.008 |    0.1391 |   -0.8259 |
+#&gt; |.....................|   -0.7609 |   -0.8816 |   -0.7877 |    -1.089 |
+#&gt; |.....................|   -0.5408 |   -0.8610 |    -1.072 |   -0.1999 |
+#&gt; |    U|     473.91708 |     91.43 |    -5.379 |   -0.9030 |    -2.198 |
+#&gt; |.....................|    -4.627 |    0.4024 |     1.251 |   0.05988 |
+#&gt; |.....................|    0.8772 |   0.05826 |    0.7962 |    0.7081 |
+#&gt; |.....................|     1.570 |    0.9660 |    0.6921 |     2.024 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.91708</span> |     91.43 |  0.004613 |    0.2884 |    0.1111 |
+#&gt; |.....................|  0.009788 |    0.5993 |     1.251 |   0.05988 |
+#&gt; |.....................|    0.8772 |   0.05826 |    0.7962 |    0.7081 |
+#&gt; |.....................|     1.570 |    0.9660 |    0.6921 |     2.024 |
+#&gt; |    F| Forward Diff. |     9.919 |     1.183 |    0.2388 |   -0.1221 |
+#&gt; |.....................|    0.3649 |     1.138 |    -5.295 |     3.201 |
+#&gt; |.....................|  -0.05759 |  -0.06746 |   -0.6018 |   -0.7458 |
+#&gt; |.....................|     1.218 |     1.797 |   0.02666 |    -1.950 |
+#&gt; |<span style='font-weight: bold;'>   71</span>|     473.88166 |     1.003 |    -1.180 |   -0.9251 |   -0.9351 |
+#&gt; |.....................|    -1.014 |    -1.009 |    0.1432 |   -0.8289 |
+#&gt; |.....................|   -0.7611 |   -0.8814 |   -0.7874 |    -1.090 |
+#&gt; |.....................|   -0.5418 |   -0.8607 |    -1.072 |   -0.1991 |
+#&gt; |    U|     473.88166 |     91.26 |    -5.380 |   -0.9031 |    -2.198 |
+#&gt; |.....................|    -4.627 |    0.4019 |     1.252 |   0.05979 |
+#&gt; |.....................|    0.8771 |   0.05827 |    0.7964 |    0.7073 |
+#&gt; |.....................|     1.568 |    0.9662 |    0.6919 |     2.025 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.88166</span> |     91.26 |  0.004608 |    0.2884 |    0.1111 |
+#&gt; |.....................|  0.009785 |    0.5991 |     1.252 |   0.05979 |
+#&gt; |.....................|    0.8771 |   0.05827 |    0.7964 |    0.7073 |
+#&gt; |.....................|     1.568 |    0.9662 |    0.6919 |     2.025 |
+#&gt; |    F| Forward Diff. |    -5.370 |     1.167 |   0.05346 |  -0.09978 |
+#&gt; |.....................|    0.3701 |     1.174 |    -5.172 |     3.105 |
+#&gt; |.....................|  -0.07011 |  -0.02516 |   -0.4239 |    -2.943 |
+#&gt; |.....................|     1.187 |     1.854 |   0.07395 |    -1.907 |
+#&gt; |<span style='font-weight: bold;'>   72</span>|     473.85215 |     1.005 |    -1.181 |   -0.9251 |   -0.9350 |
+#&gt; |.....................|    -1.015 |    -1.010 |    0.1472 |   -0.8318 |
+#&gt; |.....................|   -0.7612 |   -0.8813 |   -0.7872 |    -1.090 |
+#&gt; |.....................|   -0.5427 |   -0.8608 |    -1.073 |   -0.1983 |
+#&gt; |    U|     473.85215 |     91.44 |    -5.381 |   -0.9031 |    -2.197 |
+#&gt; |.....................|    -4.627 |    0.4014 |     1.254 |   0.05971 |
+#&gt; |.....................|    0.8771 |   0.05827 |    0.7965 |    0.7078 |
+#&gt; |.....................|     1.567 |    0.9662 |    0.6918 |     2.026 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.85215</span> |     91.44 |  0.004603 |    0.2884 |    0.1111 |
+#&gt; |.....................|  0.009781 |    0.5990 |     1.254 |   0.05971 |
+#&gt; |.....................|    0.8771 |   0.05827 |    0.7965 |    0.7078 |
+#&gt; |.....................|     1.567 |    0.9662 |    0.6918 |     2.026 |
+#&gt; |    F| Forward Diff. |     10.42 |     1.179 |    0.2474 |   -0.1240 |
+#&gt; |.....................|    0.3627 |     1.120 |    -5.345 |     3.221 |
+#&gt; |.....................|  -0.07960 |  -0.04998 |   -0.3836 |    -2.755 |
+#&gt; |.....................|     1.094 |     1.797 |  -0.01014 |    -1.939 |
+#&gt; |<span style='font-weight: bold;'>   73</span>|     473.81514 |     1.003 |    -1.182 |   -0.9251 |   -0.9348 |
+#&gt; |.....................|    -1.015 |    -1.011 |    0.1513 |   -0.8349 |
+#&gt; |.....................|   -0.7614 |   -0.8810 |   -0.7873 |    -1.089 |
+#&gt; |.....................|   -0.5432 |   -0.8601 |    -1.073 |   -0.1979 |
+#&gt; |    U|     473.81514 |     91.27 |    -5.382 |   -0.9031 |    -2.197 |
+#&gt; |.....................|    -4.628 |    0.4008 |     1.256 |   0.05962 |
+#&gt; |.....................|    0.8770 |   0.05828 |    0.7964 |    0.7084 |
+#&gt; |.....................|     1.567 |    0.9669 |    0.6916 |     2.026 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.81514</span> |     91.27 |  0.004598 |    0.2884 |    0.1111 |
+#&gt; |.....................|  0.009778 |    0.5989 |     1.256 |   0.05962 |
+#&gt; |.....................|    0.8770 |   0.05828 |    0.7964 |    0.7084 |
+#&gt; |.....................|     1.567 |    0.9669 |    0.6916 |     2.026 |
+#&gt; |    F| Forward Diff. |    -4.811 |     1.166 |   0.05684 |   -0.1019 |
+#&gt; |.....................|    0.3663 |     1.150 |    -5.276 |     3.057 |
+#&gt; |.....................|  -0.06818 |  -0.03474 |   -0.4125 |    -2.836 |
+#&gt; |.....................|     1.158 |     1.851 |   0.03258 |    -1.914 |
+#&gt; |<span style='font-weight: bold;'>   74</span>|     473.78884 |     1.005 |    -1.183 |   -0.9252 |   -0.9346 |
+#&gt; |.....................|    -1.015 |    -1.012 |    0.1554 |   -0.8377 |
+#&gt; |.....................|   -0.7615 |   -0.8808 |   -0.7873 |    -1.088 |
+#&gt; |.....................|   -0.5439 |   -0.8602 |    -1.073 |   -0.1971 |
+#&gt; |    U|     473.78884 |     91.46 |    -5.383 |   -0.9031 |    -2.197 |
+#&gt; |.....................|    -4.628 |    0.4003 |     1.257 |   0.05954 |
+#&gt; |.....................|    0.8770 |   0.05829 |    0.7965 |    0.7095 |
+#&gt; |.....................|     1.566 |    0.9667 |    0.6915 |     2.027 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.78884</span> |     91.46 |  0.004593 |    0.2884 |    0.1111 |
+#&gt; |.....................|  0.009775 |    0.5988 |     1.257 |   0.05954 |
+#&gt; |.....................|    0.8770 |   0.05829 |    0.7965 |    0.7095 |
+#&gt; |.....................|     1.566 |    0.9667 |    0.6915 |     2.027 |
+#&gt; |    F| Forward Diff. |     12.26 |     1.178 |    0.2628 |   -0.1282 |
+#&gt; |.....................|    0.3579 |     1.094 |    -5.180 |     3.234 |
+#&gt; |.....................|  -0.08932 |  -0.09780 |   -0.5652 |   -0.6340 |
+#&gt; |.....................|     1.031 |     1.841 |  -0.06209 |    -1.938 |
+#&gt; |<span style='font-weight: bold;'>   75</span>|     473.75065 |     1.003 |    -1.184 |   -0.9252 |   -0.9344 |
+#&gt; |.....................|    -1.016 |    -1.013 |    0.1594 |   -0.8407 |
+#&gt; |.....................|   -0.7617 |   -0.8806 |   -0.7872 |    -1.088 |
+#&gt; |.....................|   -0.5446 |   -0.8597 |    -1.073 |   -0.1966 |
+#&gt; |    U|     473.75065 |     91.27 |    -5.384 |   -0.9032 |    -2.197 |
+#&gt; |.....................|    -4.628 |    0.3998 |     1.259 |   0.05945 |
+#&gt; |.....................|    0.8769 |   0.05829 |    0.7965 |    0.7092 |
+#&gt; |.....................|     1.565 |    0.9672 |    0.6914 |     2.028 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.75065</span> |     91.27 |  0.004588 |    0.2884 |    0.1112 |
+#&gt; |.....................|  0.009772 |    0.5986 |     1.259 |   0.05945 |
+#&gt; |.....................|    0.8769 |   0.05829 |    0.7965 |    0.7092 |
+#&gt; |.....................|     1.565 |    0.9672 |    0.6914 |     2.028 |
+#&gt; |    F| Forward Diff. |    -5.250 |     1.164 |   0.05078 |   -0.1019 |
+#&gt; |.....................|    0.3635 |     1.132 |    -5.308 |     3.057 |
+#&gt; |.....................|  -0.09569 |  -0.05602 |   -0.5891 |   -0.8121 |
+#&gt; |.....................|     1.074 |     1.883 |  0.002586 |    -1.906 |
+#&gt; |<span style='font-weight: bold;'>   76</span>|     473.72028 |     1.005 |    -1.185 |   -0.9252 |   -0.9343 |
+#&gt; |.....................|    -1.016 |    -1.014 |    0.1635 |   -0.8437 |
+#&gt; |.....................|   -0.7618 |   -0.8804 |   -0.7870 |    -1.089 |
+#&gt; |.....................|   -0.5455 |   -0.8599 |    -1.073 |   -0.1958 |
+#&gt; |    U|     473.72028 |     91.43 |    -5.385 |   -0.9032 |    -2.197 |
+#&gt; |.....................|    -4.629 |    0.3993 |     1.261 |   0.05936 |
+#&gt; |.....................|    0.8768 |   0.05830 |    0.7967 |    0.7088 |
+#&gt; |.....................|     1.564 |    0.9671 |    0.6912 |     2.029 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.72028</span> |     91.43 |  0.004583 |    0.2884 |    0.1112 |
+#&gt; |.....................|  0.009768 |    0.5985 |     1.261 |   0.05936 |
+#&gt; |.....................|    0.8768 |   0.05830 |    0.7967 |    0.7088 |
+#&gt; |.....................|     1.564 |    0.9671 |    0.6912 |     2.029 |
+#&gt; |    F| Forward Diff. |     8.975 |     1.171 |    0.2290 |   -0.1246 |
+#&gt; |.....................|    0.3563 |     1.085 |    -5.320 |     3.173 |
+#&gt; |.....................|  -0.08707 |   -0.1016 |   -0.5561 |   -0.7117 |
+#&gt; |.....................|    0.9536 |     1.850 |  -0.07963 |    -1.922 |
+#&gt; |<span style='font-weight: bold;'>   77</span>|     473.68600 |     1.003 |    -1.186 |   -0.9253 |   -0.9341 |
+#&gt; |.....................|    -1.016 |    -1.015 |    0.1676 |   -0.8467 |
+#&gt; |.....................|   -0.7620 |   -0.8801 |   -0.7868 |    -1.089 |
+#&gt; |.....................|   -0.5463 |   -0.8596 |    -1.073 |   -0.1952 |
+#&gt; |    U|       473.686 |     91.28 |    -5.386 |   -0.9033 |    -2.196 |
+#&gt; |.....................|    -4.629 |    0.3989 |     1.263 |   0.05928 |
+#&gt; |.....................|    0.8768 |   0.05831 |    0.7968 |    0.7081 |
+#&gt; |.....................|     1.563 |    0.9673 |    0.6911 |     2.030 |
+#&gt; |    X|<span style='font-weight: bold;'>       473.686</span> |     91.28 |  0.004578 |    0.2884 |    0.1112 |
+#&gt; |.....................|  0.009765 |    0.5984 |     1.263 |   0.05928 |
+#&gt; |.....................|    0.8768 |   0.05831 |    0.7968 |    0.7081 |
+#&gt; |.....................|     1.563 |    0.9673 |    0.6911 |     2.030 |
+#&gt; |    F| Forward Diff. |    -5.608 |     1.155 |   0.05506 |   -0.1036 |
+#&gt; |.....................|    0.3607 |     1.118 |    -5.212 |     3.031 |
+#&gt; |.....................|  -0.08611 |  -0.04336 |   -0.3798 |    -2.808 |
+#&gt; |.....................|     1.093 |     1.880 |  -0.02731 |    -1.896 |
+#&gt; |<span style='font-weight: bold;'>   78</span>|     473.65599 |     1.005 |    -1.188 |   -0.9253 |   -0.9339 |
+#&gt; |.....................|    -1.017 |    -1.016 |    0.1718 |   -0.8497 |
+#&gt; |.....................|   -0.7621 |   -0.8799 |   -0.7868 |    -1.089 |
+#&gt; |.....................|   -0.5471 |   -0.8595 |    -1.074 |   -0.1946 |
+#&gt; |    U|     473.65599 |     91.44 |    -5.388 |   -0.9033 |    -2.196 |
+#&gt; |.....................|    -4.629 |    0.3984 |     1.264 |   0.05919 |
+#&gt; |.....................|    0.8767 |   0.05831 |    0.7968 |    0.7087 |
+#&gt; |.....................|     1.562 |    0.9674 |    0.6910 |     2.030 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.65599</span> |     91.44 |  0.004573 |    0.2884 |    0.1112 |
+#&gt; |.....................|  0.009762 |    0.5983 |     1.264 |   0.05919 |
+#&gt; |.....................|    0.8767 |   0.05831 |    0.7968 |    0.7087 |
+#&gt; |.....................|     1.562 |    0.9674 |    0.6910 |     2.030 |
+#&gt; |    F| Forward Diff. |     9.720 |     1.170 |    0.2444 |   -0.1229 |
+#&gt; |.....................|    0.3557 |     1.067 |    -5.275 |     3.173 |
+#&gt; |.....................|  -0.07850 |   -0.1042 |   -0.5348 |   -0.6844 |
+#&gt; |.....................|    0.9479 |     1.915 |   -0.1018 |    -1.917 |
+#&gt; |<span style='font-weight: bold;'>   79</span>|     473.62083 |     1.003 |    -1.189 |   -0.9254 |   -0.9337 |
+#&gt; |.....................|    -1.017 |    -1.017 |    0.1759 |   -0.8528 |
+#&gt; |.....................|   -0.7623 |   -0.8795 |   -0.7869 |    -1.089 |
+#&gt; |.....................|   -0.5477 |   -0.8591 |    -1.074 |   -0.1942 |
+#&gt; |    U|     473.62083 |     91.28 |    -5.389 |   -0.9033 |    -2.196 |
+#&gt; |.....................|    -4.630 |    0.3979 |     1.266 |   0.05910 |
+#&gt; |.....................|    0.8766 |   0.05832 |    0.7968 |    0.7085 |
+#&gt; |.....................|     1.562 |    0.9678 |    0.6909 |     2.031 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.62083</span> |     91.28 |  0.004568 |    0.2884 |    0.1112 |
+#&gt; |.....................|  0.009758 |    0.5982 |     1.266 |   0.05910 |
+#&gt; |.....................|    0.8766 |   0.05832 |    0.7968 |    0.7085 |
+#&gt; |.....................|     1.562 |    0.9678 |    0.6909 |     2.031 |
+#&gt; |    F| Forward Diff. |    -5.323 |     1.153 |   0.05982 |   -0.1053 |
+#&gt; |.....................|    0.3572 |     1.098 |    -4.702 |     3.058 |
+#&gt; |.....................|   -0.1117 |  -0.04281 |   -0.5573 |   -0.7999 |
+#&gt; |.....................|     1.039 |     1.912 |  -0.05974 |    -1.890 |
+#&gt; |<span style='font-weight: bold;'>   80</span>|     473.59326 |     1.005 |    -1.190 |   -0.9254 |   -0.9335 |
+#&gt; |.....................|    -1.018 |    -1.019 |    0.1798 |   -0.8560 |
+#&gt; |.....................|   -0.7624 |   -0.8793 |   -0.7867 |    -1.090 |
+#&gt; |.....................|   -0.5486 |   -0.8595 |    -1.074 |   -0.1934 |
+#&gt; |    U|     473.59326 |     91.46 |    -5.390 |   -0.9034 |    -2.196 |
+#&gt; |.....................|    -4.630 |    0.3974 |     1.268 |   0.05901 |
+#&gt; |.....................|    0.8766 |   0.05833 |    0.7969 |    0.7081 |
+#&gt; |.....................|     1.560 |    0.9674 |    0.6908 |     2.032 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.59326</span> |     91.46 |  0.004562 |    0.2884 |    0.1113 |
+#&gt; |.....................|  0.009755 |    0.5981 |     1.268 |   0.05901 |
+#&gt; |.....................|    0.8766 |   0.05833 |    0.7969 |    0.7081 |
+#&gt; |.....................|     1.560 |    0.9674 |    0.6908 |     2.032 |
+#&gt; |    F| Forward Diff. |     11.25 |     1.162 |    0.2586 |   -0.1299 |
+#&gt; |.....................|    0.3499 |     1.048 |    -5.229 |     3.126 |
+#&gt; |.....................|  -0.05642 |  -0.09930 |   -0.3252 |    -2.718 |
+#&gt; |.....................|    0.8202 |     1.876 |   -0.1477 |    -1.910 |
+#&gt; |<span style='font-weight: bold;'>   81</span>|     473.55541 |     1.003 |    -1.191 |   -0.9255 |   -0.9333 |
+#&gt; |.....................|    -1.018 |    -1.020 |    0.1836 |   -0.8595 |
+#&gt; |.....................|   -0.7626 |   -0.8789 |   -0.7868 |    -1.090 |
+#&gt; |.....................|   -0.5492 |   -0.8592 |    -1.074 |   -0.1932 |
+#&gt; |    U|     473.55541 |     91.31 |    -5.391 |   -0.9034 |    -2.196 |
+#&gt; |.....................|    -4.630 |    0.3968 |     1.269 |   0.05891 |
+#&gt; |.....................|    0.8765 |   0.05834 |    0.7968 |    0.7080 |
+#&gt; |.....................|     1.560 |    0.9677 |    0.6906 |     2.032 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.55541</span> |     91.31 |  0.004557 |    0.2883 |    0.1113 |
+#&gt; |.....................|  0.009751 |    0.5979 |     1.269 |   0.05891 |
+#&gt; |.....................|    0.8765 |   0.05834 |    0.7968 |    0.7080 |
+#&gt; |.....................|     1.560 |    0.9677 |    0.6906 |     2.032 |
+#&gt; |    F| Forward Diff. |    -3.062 |     1.149 |   0.09224 |   -0.1103 |
+#&gt; |.....................|    0.3525 |     1.070 |    -5.098 |     2.994 |
+#&gt; |.....................|   -0.1095 |  -0.04877 |   -0.3504 |    -2.828 |
+#&gt; |.....................|    0.8255 |     1.898 |   -0.1147 |    -1.889 |
+#&gt; |<span style='font-weight: bold;'>   82</span>|     473.53708 |     1.006 |    -1.192 |   -0.9256 |   -0.9332 |
+#&gt; |.....................|    -1.018 |    -1.021 |    0.1873 |   -0.8616 |
+#&gt; |.....................|   -0.7625 |   -0.8789 |   -0.7866 |    -1.087 |
+#&gt; |.....................|   -0.5498 |   -0.8606 |    -1.074 |   -0.1918 |
+#&gt; |    U|     473.53708 |     91.52 |    -5.392 |   -0.9035 |    -2.196 |
+#&gt; |.....................|    -4.631 |    0.3964 |     1.271 |   0.05884 |
+#&gt; |.....................|    0.8765 |   0.05834 |    0.7970 |    0.7099 |
+#&gt; |.....................|     1.559 |    0.9664 |    0.6907 |     2.034 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.53708</span> |     91.52 |  0.004553 |    0.2883 |    0.1113 |
+#&gt; |.....................|  0.009749 |    0.5978 |     1.271 |   0.05884 |
+#&gt; |.....................|    0.8765 |   0.05834 |    0.7970 |    0.7099 |
+#&gt; |.....................|     1.559 |    0.9664 |    0.6907 |     2.034 |
+#&gt; |    F| Forward Diff. |     16.25 |     1.165 |    0.3077 |   -0.1378 |
+#&gt; |.....................|    0.3448 |     1.019 |    -5.264 |     3.150 |
+#&gt; |.....................|  -0.09278 |   -0.1366 |   -0.2969 |    -2.557 |
+#&gt; |.....................|    0.7485 |     1.781 |   -0.1828 |    -1.909 |
+#&gt; |<span style='font-weight: bold;'>   83</span>|     473.49312 |     1.003 |    -1.193 |   -0.9256 |   -0.9329 |
+#&gt; |.....................|    -1.018 |    -1.022 |    0.1912 |   -0.8647 |
+#&gt; |.....................|   -0.7626 |   -0.8785 |   -0.7869 |    -1.087 |
+#&gt; |.....................|   -0.5501 |   -0.8598 |    -1.074 |   -0.1918 |
+#&gt; |    U|     473.49312 |     91.32 |    -5.393 |   -0.9035 |    -2.195 |
+#&gt; |.....................|    -4.631 |    0.3959 |     1.272 |   0.05875 |
+#&gt; |.....................|    0.8765 |   0.05835 |    0.7967 |    0.7106 |
+#&gt; |.....................|     1.559 |    0.9671 |    0.6906 |     2.034 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.49312</span> |     91.32 |  0.004547 |    0.2883 |    0.1113 |
+#&gt; |.....................|  0.009745 |    0.5977 |     1.272 |   0.05875 |
+#&gt; |.....................|    0.8765 |   0.05835 |    0.7967 |    0.7106 |
+#&gt; |.....................|     1.559 |    0.9671 |    0.6906 |     2.034 |
+#&gt; |    F| Forward Diff. |    -2.793 |     1.150 |   0.08391 |   -0.1095 |
+#&gt; |.....................|    0.3500 |     1.057 |    -5.154 |     2.847 |
+#&gt; |.....................|  -0.07414 |  -0.06025 |   -0.5244 |   -0.6779 |
+#&gt; |.....................|    0.8291 |     1.867 |   -0.1201 |    -1.880 |
+#&gt; |<span style='font-weight: bold;'>   84</span>|     473.47390 |     1.006 |    -1.194 |   -0.9256 |   -0.9329 |
+#&gt; |.....................|    -1.019 |    -1.022 |    0.1953 |   -0.8670 |
+#&gt; |.....................|   -0.7626 |   -0.8785 |   -0.7865 |    -1.086 |
+#&gt; |.....................|   -0.5507 |   -0.8613 |    -1.074 |   -0.1903 |
+#&gt; |    U|      473.4739 |     91.52 |    -5.394 |   -0.9036 |    -2.195 |
+#&gt; |.....................|    -4.631 |    0.3955 |     1.274 |   0.05869 |
+#&gt; |.....................|    0.8765 |   0.05835 |    0.7970 |    0.7110 |
+#&gt; |.....................|     1.558 |    0.9657 |    0.6907 |     2.036 |
+#&gt; |    X|<span style='font-weight: bold;'>      473.4739</span> |     91.52 |  0.004543 |    0.2883 |    0.1113 |
+#&gt; |.....................|  0.009743 |    0.5976 |     1.274 |   0.05869 |
+#&gt; |.....................|    0.8765 |   0.05835 |    0.7970 |    0.7110 |
+#&gt; |.....................|     1.558 |    0.9657 |    0.6907 |     2.036 |
+#&gt; |    F| Forward Diff. |     15.82 |     1.163 |    0.3026 |   -0.1376 |
+#&gt; |.....................|    0.3423 |     1.007 |    -4.821 |     3.176 |
+#&gt; |.....................|  -0.06207 |   -0.1161 |   -0.4712 |   -0.4774 |
+#&gt; |.....................|    0.7015 |     1.725 |   -0.1877 |    -1.896 |
+#&gt; |<span style='font-weight: bold;'>   85</span>|     473.43080 |     1.003 |    -1.195 |   -0.9257 |   -0.9326 |
+#&gt; |.....................|    -1.019 |    -1.024 |    0.1991 |   -0.8700 |
+#&gt; |.....................|   -0.7628 |   -0.8781 |   -0.7866 |    -1.087 |
+#&gt; |.....................|   -0.5513 |   -0.8608 |    -1.074 |   -0.1899 |
+#&gt; |    U|      473.4308 |     91.31 |    -5.395 |   -0.9036 |    -2.195 |
+#&gt; |.....................|    -4.632 |    0.3950 |     1.276 |   0.05860 |
+#&gt; |.....................|    0.8764 |   0.05836 |    0.7970 |    0.7105 |
+#&gt; |.....................|     1.557 |    0.9662 |    0.6906 |     2.036 |
+#&gt; |    X|<span style='font-weight: bold;'>      473.4308</span> |     91.31 |  0.004538 |    0.2883 |    0.1114 |
+#&gt; |.....................|  0.009739 |    0.5975 |     1.276 |   0.05860 |
+#&gt; |.....................|    0.8764 |   0.05836 |    0.7970 |    0.7105 |
+#&gt; |.....................|     1.557 |    0.9662 |    0.6906 |     2.036 |
+#&gt; |    F| Forward Diff. |    -3.611 |     1.145 |   0.07564 |   -0.1091 |
+#&gt; |.....................|    0.3478 |     1.048 |    -5.196 |     2.853 |
+#&gt; |.....................|  -0.07176 |  -0.06153 |   -0.5100 |   -0.6862 |
+#&gt; |.....................|    0.7701 |     1.783 |   -0.1204 |    -1.866 |
+#&gt; |<span style='font-weight: bold;'>   86</span>|     473.40390 |     1.005 |    -1.196 |   -0.9258 |   -0.9324 |
+#&gt; |.....................|    -1.019 |    -1.025 |    0.2034 |   -0.8728 |
+#&gt; |.....................|   -0.7629 |   -0.8779 |   -0.7864 |    -1.087 |
+#&gt; |.....................|   -0.5520 |   -0.8612 |    -1.074 |   -0.1890 |
+#&gt; |    U|      473.4039 |     91.48 |    -5.396 |   -0.9037 |    -2.195 |
+#&gt; |.....................|    -4.632 |    0.3946 |     1.277 |   0.05852 |
+#&gt; |.....................|    0.8764 |   0.05837 |    0.7971 |    0.7105 |
+#&gt; |.....................|     1.556 |    0.9658 |    0.6906 |     2.037 |
+#&gt; |    X|<span style='font-weight: bold;'>      473.4039</span> |     91.48 |  0.004533 |    0.2883 |    0.1114 |
+#&gt; |.....................|  0.009736 |    0.5974 |     1.277 |   0.05852 |
+#&gt; |.....................|    0.8764 |   0.05837 |    0.7971 |    0.7105 |
+#&gt; |.....................|     1.556 |    0.9658 |    0.6906 |     2.037 |
+#&gt; |    F| Forward Diff. |     11.82 |     1.154 |    0.2542 |   -0.1321 |
+#&gt; |.....................|    0.3410 |     1.002 |    -5.150 |     3.097 |
+#&gt; |.....................|  -0.04820 |   -0.1059 |   -0.4698 |   -0.5387 |
+#&gt; |.....................|    0.6891 |     1.733 |   -0.1906 |    -1.879 |
+#&gt; |<span style='font-weight: bold;'>   87</span>|     473.36686 |     1.003 |    -1.198 |   -0.9258 |   -0.9322 |
+#&gt; |.....................|    -1.020 |    -1.026 |    0.2076 |   -0.8758 |
+#&gt; |.....................|   -0.7631 |   -0.8776 |   -0.7865 |    -1.087 |
+#&gt; |.....................|   -0.5525 |   -0.8606 |    -1.074 |   -0.1886 |
+#&gt; |    U|     473.36686 |     91.32 |    -5.398 |   -0.9037 |    -2.195 |
+#&gt; |.....................|    -4.632 |    0.3941 |     1.279 |   0.05843 |
+#&gt; |.....................|    0.8763 |   0.05838 |    0.7970 |    0.7100 |
+#&gt; |.....................|     1.556 |    0.9664 |    0.6905 |     2.038 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.36686</span> |     91.32 |  0.004527 |    0.2883 |    0.1114 |
+#&gt; |.....................|  0.009733 |    0.5973 |     1.279 |   0.05843 |
+#&gt; |.....................|    0.8763 |   0.05838 |    0.7970 |    0.7100 |
+#&gt; |.....................|     1.556 |    0.9664 |    0.6905 |     2.038 |
+#&gt; |    F| Forward Diff. |    -3.686 |     1.139 |   0.08028 |   -0.1103 |
+#&gt; |.....................|    0.3450 |     1.034 |    -5.059 |     2.983 |
+#&gt; |.....................|  -0.07022 |  -0.06541 |   -0.4954 |   -0.7148 |
+#&gt; |.....................|    0.6839 |     1.782 |   -0.1353 |    -1.853 |
+#&gt; |<span style='font-weight: bold;'>   88</span>|     473.34117 |     1.005 |    -1.199 |   -0.9259 |   -0.9321 |
+#&gt; |.....................|    -1.020 |    -1.027 |    0.2118 |   -0.8787 |
+#&gt; |.....................|   -0.7632 |   -0.8774 |   -0.7864 |    -1.087 |
+#&gt; |.....................|   -0.5531 |   -0.8611 |    -1.074 |   -0.1877 |
+#&gt; |    U|     473.34117 |     91.49 |    -5.399 |   -0.9038 |    -2.194 |
+#&gt; |.....................|    -4.633 |    0.3936 |     1.281 |   0.05835 |
+#&gt; |.....................|    0.8763 |   0.05838 |    0.7971 |    0.7100 |
+#&gt; |.....................|     1.555 |    0.9659 |    0.6904 |     2.039 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.34117</span> |     91.49 |  0.004522 |    0.2883 |    0.1114 |
+#&gt; |.....................|  0.009730 |    0.5972 |     1.281 |   0.05835 |
+#&gt; |.....................|    0.8763 |   0.05838 |    0.7971 |    0.7100 |
+#&gt; |.....................|     1.555 |    0.9659 |    0.6904 |     2.039 |
+#&gt; |    F| Forward Diff. |     12.62 |     1.149 |    0.2679 |   -0.1346 |
+#&gt; |.....................|    0.3379 |    0.9875 |    -5.147 |     2.965 |
+#&gt; |.....................|  -0.07400 |   -0.1145 |   -0.4542 |   -0.5455 |
+#&gt; |.....................|    0.6283 |     1.734 |   -0.2097 |    -1.869 |
+#&gt; |<span style='font-weight: bold;'>   89</span>|     473.30326 |     1.004 |    -1.200 |   -0.9259 |   -0.9318 |
+#&gt; |.....................|    -1.020 |    -1.028 |    0.2159 |   -0.8818 |
+#&gt; |.....................|   -0.7634 |   -0.8771 |   -0.7865 |    -1.088 |
+#&gt; |.....................|   -0.5535 |   -0.8604 |    -1.074 |   -0.1874 |
+#&gt; |    U|     473.30326 |     91.32 |    -5.400 |   -0.9038 |    -2.194 |
+#&gt; |.....................|    -4.633 |    0.3932 |     1.283 |   0.05826 |
+#&gt; |.....................|    0.8762 |   0.05839 |    0.7970 |    0.7096 |
+#&gt; |.....................|     1.555 |    0.9665 |    0.6903 |     2.039 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.30326</span> |     91.32 |  0.004517 |    0.2883 |    0.1114 |
+#&gt; |.....................|  0.009726 |    0.5970 |     1.283 |   0.05826 |
+#&gt; |.....................|    0.8762 |   0.05839 |    0.7970 |    0.7096 |
+#&gt; |.....................|     1.555 |    0.9665 |    0.6903 |     2.039 |
+#&gt; |    F| Forward Diff. |    -3.609 |     1.134 |   0.08636 |   -0.1114 |
+#&gt; |.....................|    0.3423 |     1.018 |    -5.228 |     2.880 |
+#&gt; |.....................|   -0.1079 |  -0.06580 |   -0.2896 |    -2.686 |
+#&gt; |.....................|    0.6917 |     1.801 |   -0.1599 |    -1.842 |
+#&gt; |<span style='font-weight: bold;'>   90</span>|     473.27616 |     1.005 |    -1.201 |   -0.9260 |   -0.9316 |
+#&gt; |.....................|    -1.021 |    -1.029 |    0.2202 |   -0.8845 |
+#&gt; |.....................|   -0.7634 |   -0.8768 |   -0.7866 |    -1.087 |
+#&gt; |.....................|   -0.5540 |   -0.8607 |    -1.074 |   -0.1867 |
+#&gt; |    U|     473.27616 |     91.48 |    -5.401 |   -0.9039 |    -2.194 |
+#&gt; |.....................|    -4.633 |    0.3927 |     1.284 |   0.05818 |
+#&gt; |.....................|    0.8762 |   0.05840 |    0.7970 |    0.7107 |
+#&gt; |.....................|     1.554 |    0.9663 |    0.6904 |     2.040 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.27616</span> |     91.48 |  0.004512 |    0.2883 |    0.1115 |
+#&gt; |.....................|  0.009723 |    0.5969 |     1.284 |   0.05818 |
+#&gt; |.....................|    0.8762 |   0.05840 |    0.7970 |    0.7107 |
+#&gt; |.....................|     1.554 |    0.9663 |    0.6904 |     2.040 |
+#&gt; |    F| Forward Diff. |     11.44 |     1.145 |    0.2516 |   -0.1333 |
+#&gt; |.....................|    0.3351 |    0.9744 |    -4.753 |     3.090 |
+#&gt; |.....................|  -0.05028 |   -0.1148 |   -0.4450 |   -0.5198 |
+#&gt; |.....................|    0.5573 |     1.743 |   -0.2240 |    -1.858 |
+#&gt; |<span style='font-weight: bold;'>   91</span>|     473.24283 |     1.003 |    -1.202 |   -0.9260 |   -0.9314 |
+#&gt; |.....................|    -1.021 |    -1.030 |    0.2240 |   -0.8877 |
+#&gt; |.....................|   -0.7636 |   -0.8764 |   -0.7870 |    -1.087 |
+#&gt; |.....................|   -0.5543 |   -0.8601 |    -1.074 |   -0.1866 |
+#&gt; |    U|     473.24283 |     91.29 |    -5.402 |   -0.9039 |    -2.194 |
+#&gt; |.....................|    -4.634 |    0.3922 |     1.286 |   0.05809 |
+#&gt; |.....................|    0.8761 |   0.05841 |    0.7967 |    0.7107 |
+#&gt; |.....................|     1.554 |    0.9668 |    0.6903 |     2.040 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.24283</span> |     91.29 |  0.004506 |    0.2882 |    0.1115 |
+#&gt; |.....................|  0.009720 |    0.5968 |     1.286 |   0.05809 |
+#&gt; |.....................|    0.8761 |   0.05841 |    0.7967 |    0.7107 |
+#&gt; |.....................|     1.554 |    0.9668 |    0.6903 |     2.040 |
+#&gt; |    F| Forward Diff. |    -7.383 |     1.129 |   0.03939 |   -0.1057 |
+#&gt; |.....................|    0.3410 |     1.013 |    -4.733 |     2.907 |
+#&gt; |.....................|  -0.07460 |  -0.06623 |   -0.4732 |   -0.6761 |
+#&gt; |.....................|    0.6495 |     1.823 |   -0.1637 |    -1.832 |
+#&gt; |<span style='font-weight: bold;'>   92</span>|     473.20973 |     1.005 |    -1.204 |   -0.9260 |   -0.9311 |
+#&gt; |.....................|    -1.021 |    -1.031 |    0.2279 |   -0.8912 |
+#&gt; |.....................|   -0.7638 |   -0.8760 |   -0.7872 |    -1.087 |
+#&gt; |.....................|   -0.5548 |   -0.8600 |    -1.075 |   -0.1862 |
+#&gt; |    U|     473.20973 |     91.43 |    -5.404 |   -0.9039 |    -2.193 |
+#&gt; |.....................|    -4.634 |    0.3917 |     1.288 |   0.05799 |
+#&gt; |.....................|    0.8760 |   0.05843 |    0.7966 |    0.7102 |
+#&gt; |.....................|     1.553 |    0.9669 |    0.6900 |     2.040 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.20973</span> |     91.43 |  0.004500 |    0.2882 |    0.1115 |
+#&gt; |.....................|  0.009716 |    0.5967 |     1.288 |   0.05799 |
+#&gt; |.....................|    0.8760 |   0.05843 |    0.7966 |    0.7102 |
+#&gt; |.....................|     1.553 |    0.9669 |    0.6900 |     2.040 |
+#&gt; |<span style='font-weight: bold;'>   93</span>|     473.17178 |     1.005 |    -1.205 |   -0.9261 |   -0.9307 |
+#&gt; |.....................|    -1.022 |    -1.032 |    0.2326 |   -0.8959 |
+#&gt; |.....................|   -0.7641 |   -0.8754 |   -0.7876 |    -1.088 |
+#&gt; |.....................|   -0.5554 |   -0.8593 |    -1.075 |   -0.1863 |
+#&gt; |    U|     473.17178 |     91.43 |    -5.405 |   -0.9040 |    -2.193 |
+#&gt; |.....................|    -4.634 |    0.3910 |     1.289 |   0.05785 |
+#&gt; |.....................|    0.8759 |   0.05844 |    0.7963 |    0.7092 |
+#&gt; |.....................|     1.552 |    0.9676 |    0.6896 |     2.040 |
+#&gt; |    X|<span style='font-weight: bold;'>     473.17178</span> |     91.43 |  0.004492 |    0.2882 |    0.1116 |
+#&gt; |.....................|  0.009711 |    0.5965 |     1.289 |   0.05785 |
+#&gt; |.....................|    0.8759 |   0.05844 |    0.7963 |    0.7092 |
+#&gt; |.....................|     1.552 |    0.9676 |    0.6896 |     2.040 |
+#&gt; |<span style='font-weight: bold;'>   94</span>|     472.97479 |     1.005 |    -1.215 |   -0.9262 |   -0.9287 |
+#&gt; |.....................|    -1.025 |    -1.041 |    0.2575 |   -0.9212 |
+#&gt; |.....................|   -0.7657 |   -0.8720 |   -0.7899 |    -1.094 |
+#&gt; |.....................|   -0.5585 |   -0.8552 |    -1.078 |   -0.1866 |
+#&gt; |    U|     472.97479 |     91.45 |    -5.415 |   -0.9041 |    -2.191 |
+#&gt; |.....................|    -4.637 |    0.3872 |     1.300 |   0.05712 |
+#&gt; |.....................|    0.8752 |   0.05854 |    0.7946 |    0.7037 |
+#&gt; |.....................|     1.549 |    0.9715 |    0.6874 |     2.040 |
+#&gt; |    X|<span style='font-weight: bold;'>     472.97479</span> |     91.45 |  0.004449 |    0.2882 |    0.1118 |
+#&gt; |.....................|  0.009685 |    0.5956 |     1.300 |   0.05712 |
+#&gt; |.....................|    0.8752 |   0.05854 |    0.7946 |    0.7037 |
+#&gt; |.....................|     1.549 |    0.9715 |    0.6874 |     2.040 |
+#&gt; |<span style='font-weight: bold;'>   95</span>|     472.26932 |     1.006 |    -1.253 |   -0.9268 |   -0.9205 |
+#&gt; |.....................|    -1.035 |    -1.074 |    0.3572 |    -1.022 |
+#&gt; |.....................|   -0.7723 |   -0.8583 |   -0.7991 |    -1.118 |
+#&gt; |.....................|   -0.5709 |   -0.8392 |    -1.088 |   -0.1877 |
+#&gt; |    U|     472.26932 |     91.55 |    -5.453 |   -0.9046 |    -2.183 |
+#&gt; |.....................|    -4.648 |    0.3719 |     1.341 |   0.05419 |
+#&gt; |.....................|    0.8725 |   0.05894 |    0.7878 |    0.6819 |
+#&gt; |.....................|     1.534 |    0.9868 |    0.6787 |     2.039 |
+#&gt; |    X|<span style='font-weight: bold;'>     472.26932</span> |     91.55 |  0.004282 |    0.2881 |    0.1127 |
+#&gt; |.....................|  0.009582 |    0.5919 |     1.341 |   0.05419 |
+#&gt; |.....................|    0.8725 |   0.05894 |    0.7878 |    0.6819 |
+#&gt; |.....................|     1.534 |    0.9868 |    0.6787 |     2.039 |
+#&gt; |<span style='font-weight: bold;'>   96</span>|     470.90347 |     1.012 |    -1.408 |   -0.9286 |   -0.8872 |
+#&gt; |.....................|    -1.078 |    -1.207 |    0.7550 |    -1.427 |
+#&gt; |.....................|   -0.7985 |   -0.8024 |   -0.8343 |    -1.204 |
+#&gt; |.....................|   -0.6170 |   -0.7722 |    -1.128 |   -0.1957 |
+#&gt; |    U|     470.90347 |     92.06 |    -5.608 |   -0.9062 |    -2.150 |
+#&gt; |.....................|    -4.691 |    0.3105 |     1.506 |   0.04245 |
+#&gt; |.....................|    0.8616 |   0.06056 |    0.7621 |    0.6043 |
+#&gt; |.....................|     1.480 |     1.051 |    0.6438 |     2.029 |
+#&gt; |    X|<span style='font-weight: bold;'>     470.90347</span> |     92.06 |  0.003670 |    0.2878 |    0.1165 |
+#&gt; |.....................|  0.009180 |    0.5770 |     1.506 |   0.04245 |
+#&gt; |.....................|    0.8616 |   0.06056 |    0.7621 |    0.6043 |
+#&gt; |.....................|     1.480 |     1.051 |    0.6438 |     2.029 |
+#&gt; |    F| Forward Diff. |     16.46 |    0.7178 |     1.137 |   -0.2842 |
+#&gt; |.....................|   0.06515 |    -1.058 |    -6.810 |    -2.325 |
+#&gt; |.....................|   -0.1903 |   -0.6630 |     1.424 |    -9.046 |
+#&gt; |.....................|    -1.659 |     8.235 |    -7.307 |    -1.506 |
+#&gt; |<span style='font-weight: bold;'>   97</span>|     469.55066 |     1.016 |    -1.623 |   -0.9529 |   -0.8214 |
+#&gt; |.....................|    -1.136 |    -1.353 |     1.295 |    -1.874 |
+#&gt; |.....................|   -0.8595 |   -0.6716 |   -0.9513 |    -1.204 |
+#&gt; |.....................|   -0.7087 |   -0.8316 |   -0.9499 |   -0.4083 |
+#&gt; |    U|     469.55066 |     92.47 |    -5.823 |   -0.9279 |    -2.084 |
+#&gt; |.....................|    -4.749 |    0.2437 |     1.731 |   0.02949 |
+#&gt; |.....................|    0.8363 |   0.06435 |    0.6766 |    0.6043 |
+#&gt; |.....................|     1.371 |    0.9940 |    0.7978 |     1.771 |
+#&gt; |    X|<span style='font-weight: bold;'>     469.55066</span> |     92.47 |  0.002960 |    0.2834 |    0.1245 |
+#&gt; |.....................|  0.008661 |    0.5606 |     1.731 |   0.02949 |
+#&gt; |.....................|    0.8363 |   0.06435 |    0.6766 |    0.6043 |
+#&gt; |.....................|     1.371 |    0.9940 |    0.7978 |     1.771 |
+#&gt; |    F| Forward Diff. |    -5.003 |    0.4823 |    0.6025 |   -0.2481 |
+#&gt; |.....................|    -1.135 |    0.1015 |    -5.875 |    -8.309 |
+#&gt; |.....................|   -0.8363 |   -0.7839 |     1.711 |    -6.097 |
+#&gt; |.....................|    -4.755 |     1.794 |     4.040 |   -0.5408 |
+#&gt; |<span style='font-weight: bold;'>   98</span>|     471.32255 |     1.022 |    -1.880 |    -1.043 |   -0.7426 |
+#&gt; |.....................|    -1.107 |    -1.512 |     1.956 |    -1.964 |
+#&gt; |.....................|   -0.9773 |   -0.5429 |    -1.097 |    -1.122 |
+#&gt; |.....................|   -0.6469 |   -0.5662 |   -0.9027 |   -0.4752 |
+#&gt; |    U|     471.32255 |     93.00 |    -6.080 |    -1.008 |    -2.005 |
+#&gt; |.....................|    -4.719 |    0.1705 |     2.005 |   0.02687 |
+#&gt; |.....................|    0.7874 |   0.06809 |    0.5704 |    0.6787 |
+#&gt; |.....................|     1.444 |     1.248 |    0.8385 |     1.690 |
+#&gt; |    X|<span style='font-weight: bold;'>     471.32255</span> |     93.00 |  0.002289 |    0.2674 |    0.1347 |
+#&gt; |.....................|  0.008922 |    0.5425 |     2.005 |   0.02687 |
+#&gt; |.....................|    0.7874 |   0.06809 |    0.5704 |    0.6787 |
+#&gt; |.....................|     1.444 |     1.248 |    0.8385 |     1.690 |
+#&gt; |<span style='font-weight: bold;'>   99</span>|     468.82475 |     1.022 |    -1.709 |   -0.9836 |   -0.7948 |
+#&gt; |.....................|    -1.126 |    -1.406 |     1.521 |    -1.898 |
+#&gt; |.....................|   -0.8984 |   -0.6279 |    -1.001 |    -1.172 |
+#&gt; |.....................|   -0.6845 |   -0.7440 |   -0.9371 |   -0.4303 |
+#&gt; |    U|     468.82475 |     92.98 |    -5.909 |   -0.9551 |    -2.057 |
+#&gt; |.....................|    -4.738 |    0.2191 |     1.824 |   0.02879 |
+#&gt; |.....................|    0.8201 |   0.06562 |    0.6400 |    0.6333 |
+#&gt; |.....................|     1.400 |     1.078 |    0.8088 |     1.744 |
+#&gt; |    X|<span style='font-weight: bold;'>     468.82475</span> |     92.98 |  0.002714 |    0.2779 |    0.1278 |
+#&gt; |.....................|  0.008755 |    0.5546 |     1.824 |   0.02879 |
+#&gt; |.....................|    0.8201 |   0.06562 |    0.6400 |    0.6333 |
+#&gt; |.....................|     1.400 |     1.078 |    0.8088 |     1.744 |
+#&gt; |    F| Forward Diff. |     40.86 |    0.3767 |  -0.09575 |   -0.1893 |
+#&gt; |.....................|    -1.313 |   -0.2132 |    -3.864 |    -4.927 |
+#&gt; |.....................|    -1.292 |    -1.079 |   -0.1017 |    -3.329 |
+#&gt; |.....................|    -4.248 |     8.116 |     3.916 |   -0.3530 |
+#&gt; |<span style='font-weight: bold;'>  100</span>|     467.75171 |     1.017 |    -1.816 |   -0.9824 |   -0.7623 |
+#&gt; |.....................|    -1.067 |    -1.470 |     1.678 |    -1.962 |
+#&gt; |.....................|   -0.9501 |   -0.5667 |   -0.9995 |    -1.140 |
+#&gt; |.....................|   -0.5909 |   -0.8204 |    -1.012 |   -0.4878 |
+#&gt; |    U|     467.75171 |     92.51 |    -6.016 |   -0.9541 |    -2.025 |
+#&gt; |.....................|    -4.679 |    0.1896 |     1.889 |   0.02693 |
+#&gt; |.....................|    0.7987 |   0.06740 |    0.6413 |    0.6622 |
+#&gt; |.....................|     1.510 |     1.005 |    0.7438 |     1.674 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.75171</span> |     92.51 |  0.002440 |    0.2781 |    0.1320 |
+#&gt; |.....................|  0.009285 |    0.5473 |     1.889 |   0.02693 |
+#&gt; |.....................|    0.7987 |   0.06740 |    0.6413 |    0.6622 |
+#&gt; |.....................|     1.510 |     1.005 |    0.7438 |     1.674 |
+#&gt; |    F| Forward Diff. |    -11.72 |    0.1617 |   -0.2966 |    0.1391 |
+#&gt; |.....................|   -0.7722 |   -0.6625 |    -3.136 |    -6.222 |
+#&gt; |.....................|    -1.617 |   -0.9189 |   -0.2811 |    -3.105 |
+#&gt; |.....................|   0.05355 |     2.320 |    -3.473 |    -2.160 |
+#&gt; |<span style='font-weight: bold;'>  101</span>|     467.28745 |     1.018 |    -1.902 |   -0.9107 |   -0.7577 |
+#&gt; |.....................|   -0.9795 |    -1.517 |     1.777 |    -1.860 |
+#&gt; |.....................|   -0.8874 |   -0.4787 |   -0.8826 |    -1.170 |
+#&gt; |.....................|   -0.6199 |   -0.8544 |   -0.9952 |   -0.3962 |
+#&gt; |    U|     467.28745 |     92.66 |    -6.102 |   -0.8902 |    -2.020 |
+#&gt; |.....................|    -4.592 |    0.1682 |     1.931 |   0.02990 |
+#&gt; |.....................|    0.8247 |   0.06995 |    0.7268 |    0.6357 |
+#&gt; |.....................|     1.476 |    0.9723 |    0.7587 |     1.785 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.28745</span> |     92.66 |  0.002239 |    0.2911 |    0.1327 |
+#&gt; |.....................|   0.01013 |    0.5420 |     1.931 |   0.02990 |
+#&gt; |.....................|    0.8247 |   0.06995 |    0.7268 |    0.6357 |
+#&gt; |.....................|     1.476 |    0.9723 |    0.7587 |     1.785 |
+#&gt; |    F| Forward Diff. |     21.75 |    0.1003 |     2.571 |    0.1450 |
+#&gt; |.....................|   -0.5415 |    -1.471 |    -1.062 |    -1.774 |
+#&gt; |.....................|     1.363 |    0.7539 |     2.182 |    -3.357 |
+#&gt; |.....................|    -1.337 |    0.2346 |    -1.234 |   -0.8531 |
+#&gt; |<span style='font-weight: bold;'>  102</span>|     469.68385 |    0.9954 |    -1.950 |    -1.032 |   -0.7900 |
+#&gt; |.....................|   -0.8810 |    -1.433 |     1.783 |    -1.785 |
+#&gt; |.....................|   -0.9418 |   -0.5114 |   -0.9107 |    -1.204 |
+#&gt; |.....................|   -0.6798 |   -0.8966 |    -1.014 |   -0.2565 |
+#&gt; |    U|     469.68385 |     90.58 |    -6.150 |   -0.9984 |    -2.052 |
+#&gt; |.....................|    -4.493 |    0.2066 |     1.933 |   0.03207 |
+#&gt; |.....................|    0.8021 |   0.06900 |    0.7062 |    0.6043 |
+#&gt; |.....................|     1.405 |    0.9320 |    0.7422 |     1.955 |
+#&gt; |    X|<span style='font-weight: bold;'>     469.68385</span> |     90.58 |  0.002133 |    0.2693 |    0.1284 |
+#&gt; |.....................|   0.01118 |    0.5515 |     1.933 |   0.03207 |
+#&gt; |.....................|    0.8021 |   0.06900 |    0.7062 |    0.6043 |
+#&gt; |.....................|     1.405 |    0.9320 |    0.7422 |     1.955 |
+#&gt; |<span style='font-weight: bold;'>  103</span>|     467.87907 |     1.005 |    -1.909 |   -0.9308 |   -0.7628 |
+#&gt; |.....................|   -0.9639 |    -1.503 |     1.779 |    -1.847 |
+#&gt; |.....................|   -0.8965 |   -0.4841 |   -0.8880 |    -1.173 |
+#&gt; |.....................|   -0.6287 |   -0.8610 |   -0.9975 |   -0.3740 |
+#&gt; |    U|     467.87907 |     91.48 |    -6.109 |   -0.9081 |    -2.025 |
+#&gt; |.....................|    -4.576 |    0.1745 |     1.931 |   0.03026 |
+#&gt; |.....................|    0.8209 |   0.06979 |    0.7229 |    0.6325 |
+#&gt; |.....................|     1.466 |    0.9660 |    0.7566 |     1.812 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.87907</span> |     91.48 |  0.002222 |    0.2874 |    0.1320 |
+#&gt; |.....................|   0.01029 |    0.5435 |     1.931 |   0.03026 |
+#&gt; |.....................|    0.8209 |   0.06979 |    0.7229 |    0.6325 |
+#&gt; |.....................|     1.466 |    0.9660 |    0.7566 |     1.812 |
+#&gt; |<span style='font-weight: bold;'>  104</span>|     467.53566 |     1.009 |    -1.902 |   -0.9117 |   -0.7577 |
+#&gt; |.....................|   -0.9793 |    -1.516 |     1.778 |    -1.859 |
+#&gt; |.....................|   -0.8880 |   -0.4790 |   -0.8835 |    -1.168 |
+#&gt; |.....................|   -0.6194 |   -0.8545 |   -0.9947 |   -0.3959 |
+#&gt; |    U|     467.53566 |     91.86 |    -6.102 |   -0.8912 |    -2.020 |
+#&gt; |.....................|    -4.592 |    0.1685 |     1.931 |   0.02992 |
+#&gt; |.....................|    0.8245 |   0.06994 |    0.7261 |    0.6369 |
+#&gt; |.....................|     1.477 |    0.9722 |    0.7591 |     1.786 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.53566</span> |     91.86 |  0.002239 |    0.2909 |    0.1326 |
+#&gt; |.....................|   0.01013 |    0.5420 |     1.931 |   0.02992 |
+#&gt; |.....................|    0.8245 |   0.06994 |    0.7261 |    0.6369 |
+#&gt; |.....................|     1.477 |    0.9722 |    0.7591 |     1.786 |
+#&gt; |<span style='font-weight: bold;'>  105</span>|     467.26444 |     1.016 |    -1.902 |   -0.9109 |   -0.7577 |
+#&gt; |.....................|   -0.9795 |    -1.516 |     1.777 |    -1.860 |
+#&gt; |.....................|   -0.8875 |   -0.4788 |   -0.8828 |    -1.169 |
+#&gt; |.....................|   -0.6198 |   -0.8544 |   -0.9951 |   -0.3961 |
+#&gt; |    U|     467.26444 |     92.48 |    -6.102 |   -0.8905 |    -2.020 |
+#&gt; |.....................|    -4.592 |    0.1683 |     1.931 |   0.02990 |
+#&gt; |.....................|    0.8246 |   0.06995 |    0.7266 |    0.6360 |
+#&gt; |.....................|     1.476 |    0.9723 |    0.7588 |     1.786 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.26444</span> |     92.48 |  0.002239 |    0.2910 |    0.1326 |
+#&gt; |.....................|   0.01013 |    0.5420 |     1.931 |   0.02990 |
+#&gt; |.....................|    0.8246 |   0.06995 |    0.7266 |    0.6360 |
+#&gt; |.....................|     1.476 |    0.9723 |    0.7588 |     1.786 |
+#&gt; |    F| Forward Diff. |    -1.458 |   0.09189 |     2.450 |    0.1713 |
+#&gt; |.....................|   -0.5320 |    -1.492 |    -1.346 |    -2.030 |
+#&gt; |.....................|     1.374 |    0.8089 |     1.804 |    -5.854 |
+#&gt; |.....................|    -1.303 |    0.2787 |    -1.170 |   -0.8602 |
+#&gt; |<span style='font-weight: bold;'>  106</span>|     467.25360 |     1.017 |    -1.902 |   -0.9116 |   -0.7577 |
+#&gt; |.....................|   -0.9793 |    -1.516 |     1.778 |    -1.859 |
+#&gt; |.....................|   -0.8879 |   -0.4790 |   -0.8833 |    -1.168 |
+#&gt; |.....................|   -0.6195 |   -0.8545 |   -0.9948 |   -0.3959 |
+#&gt; |    U|      467.2536 |     92.51 |    -6.102 |   -0.8910 |    -2.020 |
+#&gt; |.....................|    -4.592 |    0.1685 |     1.931 |   0.02992 |
+#&gt; |.....................|    0.8245 |   0.06994 |    0.7263 |    0.6374 |
+#&gt; |.....................|     1.477 |    0.9722 |    0.7590 |     1.786 |
+#&gt; |    X|<span style='font-weight: bold;'>      467.2536</span> |     92.51 |  0.002239 |    0.2909 |    0.1326 |
+#&gt; |.....................|   0.01013 |    0.5420 |     1.931 |   0.02992 |
+#&gt; |.....................|    0.8245 |   0.06994 |    0.7263 |    0.6374 |
+#&gt; |.....................|     1.477 |    0.9722 |    0.7590 |     1.786 |
+#&gt; |    F| Forward Diff. |     3.196 |   0.08873 |     2.446 |    0.1672 |
+#&gt; |.....................|   -0.5342 |    -1.484 |    -1.056 |    -1.956 |
+#&gt; |.....................|     1.373 |    0.7965 |     2.077 |    -5.722 |
+#&gt; |.....................|    -1.292 |    0.2471 |    -1.040 |   -0.8496 |
+#&gt; |<span style='font-weight: bold;'>  107</span>|     467.24389 |     1.015 |    -1.902 |   -0.9128 |   -0.7578 |
+#&gt; |.....................|   -0.9790 |    -1.515 |     1.778 |    -1.858 |
+#&gt; |.....................|   -0.8886 |   -0.4794 |   -0.8844 |    -1.165 |
+#&gt; |.....................|   -0.6188 |   -0.8546 |   -0.9942 |   -0.3955 |
+#&gt; |    U|     467.24389 |     92.37 |    -6.102 |   -0.8922 |    -2.020 |
+#&gt; |.....................|    -4.592 |    0.1688 |     1.931 |   0.02995 |
+#&gt; |.....................|    0.8242 |   0.06993 |    0.7255 |    0.6400 |
+#&gt; |.....................|     1.477 |    0.9721 |    0.7595 |     1.786 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.24389</span> |     92.37 |  0.002239 |    0.2907 |    0.1326 |
+#&gt; |.....................|   0.01014 |    0.5421 |     1.931 |   0.02995 |
+#&gt; |.....................|    0.8242 |   0.06993 |    0.7255 |    0.6400 |
+#&gt; |.....................|     1.477 |    0.9721 |    0.7595 |     1.786 |
+#&gt; |    F| Forward Diff. |    -15.43 |   0.07336 |     2.305 |    0.1893 |
+#&gt; |.....................|   -0.5256 |    -1.495 |    -1.329 |    -2.142 |
+#&gt; |.....................|     1.357 |    0.9382 |     1.940 |    -3.165 |
+#&gt; |.....................|    -1.157 |    0.2760 |   -0.9277 |   -0.8566 |
+#&gt; |<span style='font-weight: bold;'>  108</span>|     467.22397 |     1.017 |    -1.902 |   -0.9138 |   -0.7581 |
+#&gt; |.....................|   -0.9782 |    -1.514 |     1.778 |    -1.857 |
+#&gt; |.....................|   -0.8889 |   -0.4797 |   -0.8863 |    -1.164 |
+#&gt; |.....................|   -0.6190 |   -0.8552 |   -0.9945 |   -0.3935 |
+#&gt; |    U|     467.22397 |     92.56 |    -6.102 |   -0.8930 |    -2.020 |
+#&gt; |.....................|    -4.591 |    0.1692 |     1.931 |   0.02998 |
+#&gt; |.....................|    0.8241 |   0.06992 |    0.7241 |    0.6409 |
+#&gt; |.....................|     1.477 |    0.9715 |    0.7593 |     1.789 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.22397</span> |     92.56 |  0.002238 |    0.2905 |    0.1326 |
+#&gt; |.....................|   0.01015 |    0.5422 |     1.931 |   0.02998 |
+#&gt; |.....................|    0.8241 |   0.06992 |    0.7241 |    0.6409 |
+#&gt; |.....................|     1.477 |    0.9715 |    0.7593 |     1.789 |
+#&gt; |    F| Forward Diff. |     8.612 |   0.07601 |     2.377 |    0.1597 |
+#&gt; |.....................|   -0.5308 |    -1.476 |    -1.038 |    -1.834 |
+#&gt; |.....................|     1.332 |    0.7679 |     2.039 |    -3.039 |
+#&gt; |.....................|    -1.288 |    0.2037 |    -1.093 |   -0.8313 |
+#&gt; |<span style='font-weight: bold;'>  109</span>|     467.20858 |     1.016 |    -1.903 |   -0.9153 |   -0.7584 |
+#&gt; |.....................|   -0.9772 |    -1.513 |     1.777 |    -1.856 |
+#&gt; |.....................|   -0.8896 |   -0.4802 |   -0.8882 |    -1.164 |
+#&gt; |.....................|   -0.6194 |   -0.8560 |   -0.9946 |   -0.3915 |
+#&gt; |    U|     467.20858 |     92.46 |    -6.103 |   -0.8944 |    -2.021 |
+#&gt; |.....................|    -4.590 |    0.1698 |     1.931 |   0.03001 |
+#&gt; |.....................|    0.8238 |   0.06990 |    0.7227 |    0.6411 |
+#&gt; |.....................|     1.477 |    0.9707 |    0.7591 |     1.791 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.20858</span> |     92.46 |  0.002236 |    0.2902 |    0.1325 |
+#&gt; |.....................|   0.01016 |    0.5423 |     1.931 |   0.03001 |
+#&gt; |.....................|    0.8238 |   0.06990 |    0.7227 |    0.6411 |
+#&gt; |.....................|     1.477 |    0.9707 |    0.7591 |     1.791 |
+#&gt; |    F| Forward Diff. |    -3.651 |   0.07137 |     2.259 |    0.1744 |
+#&gt; |.....................|   -0.5171 |    -1.486 |    -1.304 |    -1.934 |
+#&gt; |.....................|     1.324 |    0.7910 |     1.690 |    -3.053 |
+#&gt; |.....................|    -1.233 |    0.1999 |    -1.046 |   -0.8164 |
+#&gt; |<span style='font-weight: bold;'>  110</span>|     467.19548 |     1.017 |    -1.903 |   -0.9170 |   -0.7588 |
+#&gt; |.....................|   -0.9762 |    -1.512 |     1.778 |    -1.855 |
+#&gt; |.....................|   -0.8906 |   -0.4808 |   -0.8898 |    -1.163 |
+#&gt; |.....................|   -0.6195 |   -0.8567 |   -0.9946 |   -0.3897 |
+#&gt; |    U|     467.19548 |     92.56 |    -6.103 |   -0.8959 |    -2.021 |
+#&gt; |.....................|    -4.589 |    0.1705 |     1.931 |   0.03005 |
+#&gt; |.....................|    0.8234 |   0.06989 |    0.7215 |    0.6417 |
+#&gt; |.....................|     1.477 |    0.9701 |    0.7592 |     1.793 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.19548</span> |     92.56 |  0.002235 |    0.2899 |    0.1325 |
+#&gt; |.....................|   0.01017 |    0.5425 |     1.931 |   0.03005 |
+#&gt; |.....................|    0.8234 |   0.06989 |    0.7215 |    0.6417 |
+#&gt; |.....................|     1.477 |    0.9701 |    0.7592 |     1.793 |
+#&gt; |    F| Forward Diff. |     9.695 |   0.07360 |     2.256 |    0.1610 |
+#&gt; |.....................|   -0.5147 |    -1.467 |    -1.275 |    -1.734 |
+#&gt; |.....................|     1.307 |    0.8740 |     2.039 |    -5.568 |
+#&gt; |.....................|    -1.898 |   -0.2550 |    -1.273 |   -0.7762 |
+#&gt; |<span style='font-weight: bold;'>  111</span>|     467.17845 |     1.016 |    -1.904 |   -0.9175 |   -0.7593 |
+#&gt; |.....................|   -0.9751 |    -1.510 |     1.777 |    -1.854 |
+#&gt; |.....................|   -0.8907 |   -0.4813 |   -0.8918 |    -1.161 |
+#&gt; |.....................|   -0.6194 |   -0.8571 |   -0.9949 |   -0.3876 |
+#&gt; |    U|     467.17845 |     92.50 |    -6.104 |   -0.8963 |    -2.022 |
+#&gt; |.....................|    -4.588 |    0.1711 |     1.930 |   0.03007 |
+#&gt; |.....................|    0.8234 |   0.06987 |    0.7201 |    0.6433 |
+#&gt; |.....................|     1.477 |    0.9697 |    0.7589 |     1.796 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.17845</span> |     92.50 |  0.002234 |    0.2898 |    0.1324 |
+#&gt; |.....................|   0.01018 |    0.5427 |     1.930 |   0.03007 |
+#&gt; |.....................|    0.8234 |   0.06987 |    0.7201 |    0.6433 |
+#&gt; |.....................|     1.477 |    0.9697 |    0.7589 |     1.796 |
+#&gt; |    F| Forward Diff. |     2.021 |   0.06308 |     2.194 |    0.1658 |
+#&gt; |.....................|   -0.5050 |    -1.471 |    -1.283 |    -1.811 |
+#&gt; |.....................|     1.304 |    0.7659 |     1.629 |    -2.860 |
+#&gt; |.....................|    -1.234 |    0.1434 |    -1.025 |   -0.7796 |
+#&gt; |<span style='font-weight: bold;'>  112</span>|     467.16518 |     1.015 |    -1.904 |   -0.9192 |   -0.7596 |
+#&gt; |.....................|   -0.9742 |    -1.509 |     1.777 |    -1.853 |
+#&gt; |.....................|   -0.8917 |   -0.4819 |   -0.8931 |    -1.160 |
+#&gt; |.....................|   -0.6190 |   -0.8574 |   -0.9946 |   -0.3864 |
+#&gt; |    U|     467.16518 |     92.39 |    -6.104 |   -0.8978 |    -2.022 |
+#&gt; |.....................|    -4.587 |    0.1719 |     1.931 |   0.03011 |
+#&gt; |.....................|    0.8229 |   0.06985 |    0.7191 |    0.6447 |
+#&gt; |.....................|     1.477 |    0.9694 |    0.7592 |     1.797 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.16518</span> |     92.39 |  0.002234 |    0.2895 |    0.1324 |
+#&gt; |.....................|   0.01019 |    0.5429 |     1.931 |   0.03011 |
+#&gt; |.....................|    0.8229 |   0.06985 |    0.7191 |    0.6447 |
+#&gt; |.....................|     1.477 |    0.9694 |    0.7592 |     1.797 |
+#&gt; |    F| Forward Diff. |    -11.15 |   0.05292 |     2.063 |    0.1800 |
+#&gt; |.....................|   -0.4962 |    -1.473 |   -0.9311 |    -1.912 |
+#&gt; |.....................|     1.287 |    0.8965 |     1.659 |    -5.399 |
+#&gt; |.....................|    -1.766 |   -0.2649 |    -1.228 |   -0.7899 |
+#&gt; |<span style='font-weight: bold;'>  113</span>|     467.14275 |     1.016 |    -1.904 |   -0.9201 |   -0.7599 |
+#&gt; |.....................|   -0.9736 |    -1.507 |     1.777 |    -1.851 |
+#&gt; |.....................|   -0.8922 |   -0.4826 |   -0.8948 |    -1.157 |
+#&gt; |.....................|   -0.6182 |   -0.8576 |   -0.9943 |   -0.3850 |
+#&gt; |    U|     467.14275 |     92.43 |    -6.104 |   -0.8986 |    -2.022 |
+#&gt; |.....................|    -4.586 |    0.1725 |     1.931 |   0.03014 |
+#&gt; |.....................|    0.8227 |   0.06984 |    0.7179 |    0.6470 |
+#&gt; |.....................|     1.478 |    0.9693 |    0.7594 |     1.799 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.14275</span> |     92.43 |  0.002233 |    0.2893 |    0.1324 |
+#&gt; |.....................|   0.01019 |    0.5430 |     1.931 |   0.03014 |
+#&gt; |.....................|    0.8227 |   0.06984 |    0.7179 |    0.6470 |
+#&gt; |.....................|     1.478 |    0.9693 |    0.7594 |     1.799 |
+#&gt; |    F| Forward Diff. |    -6.177 |   0.04590 |     2.051 |    0.1758 |
+#&gt; |.....................|   -0.4936 |    -1.461 |   -0.9893 |    -1.828 |
+#&gt; |.....................|     1.266 |    0.7615 |     1.545 |    -5.206 |
+#&gt; |.....................|    -1.792 |   -0.2512 |    -1.220 |   -0.7551 |
+#&gt; |<span style='font-weight: bold;'>  114</span>|     467.10820 |     1.017 |    -1.905 |   -0.9220 |   -0.7605 |
+#&gt; |.....................|   -0.9724 |    -1.505 |     1.777 |    -1.849 |
+#&gt; |.....................|   -0.8932 |   -0.4835 |   -0.8976 |    -1.151 |
+#&gt; |.....................|   -0.6164 |   -0.8576 |   -0.9935 |   -0.3828 |
+#&gt; |    U|      467.1082 |     92.55 |    -6.105 |   -0.9003 |    -2.023 |
+#&gt; |.....................|    -4.585 |    0.1737 |     1.930 |   0.03020 |
+#&gt; |.....................|    0.8223 |   0.06981 |    0.7158 |    0.6522 |
+#&gt; |.....................|     1.480 |    0.9692 |    0.7601 |     1.802 |
+#&gt; |    X|<span style='font-weight: bold;'>      467.1082</span> |     92.55 |  0.002232 |    0.2890 |    0.1323 |
+#&gt; |.....................|   0.01020 |    0.5433 |     1.930 |   0.03020 |
+#&gt; |.....................|    0.8223 |   0.06981 |    0.7158 |    0.6522 |
+#&gt; |.....................|     1.480 |    0.9692 |    0.7601 |     1.802 |
+#&gt; |    F| Forward Diff. |     8.449 |   0.03092 |     2.044 |    0.1611 |
+#&gt; |.....................|   -0.4934 |    -1.430 |    -1.221 |    -1.596 |
+#&gt; |.....................|     1.229 |    0.8691 |     1.875 |    -2.123 |
+#&gt; |.....................|    -1.605 |   -0.2558 |    -1.009 |   -0.7122 |
+#&gt; |<span style='font-weight: bold;'>  115</span>|     467.10106 |     1.014 |    -1.905 |   -0.9236 |   -0.7611 |
+#&gt; |.....................|   -0.9712 |    -1.502 |     1.777 |    -1.847 |
+#&gt; |.....................|   -0.8940 |   -0.4849 |   -0.9012 |    -1.147 |
+#&gt; |.....................|   -0.6148 |   -0.8578 |   -0.9928 |   -0.3803 |
+#&gt; |    U|     467.10106 |     92.28 |    -6.105 |   -0.9017 |    -2.023 |
+#&gt; |.....................|    -4.584 |    0.1749 |     1.930 |   0.03026 |
+#&gt; |.....................|    0.8220 |   0.06977 |    0.7132 |    0.6562 |
+#&gt; |.....................|     1.482 |    0.9690 |    0.7607 |     1.805 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.10106</span> |     92.28 |  0.002232 |    0.2887 |    0.1322 |
+#&gt; |.....................|   0.01022 |    0.5436 |     1.930 |   0.03026 |
+#&gt; |.....................|    0.8220 |   0.06977 |    0.7132 |    0.6562 |
+#&gt; |.....................|     1.482 |    0.9690 |    0.7607 |     1.805 |
+#&gt; |    F| Forward Diff. |    -24.17 |  0.001665 |     1.814 |    0.1960 |
+#&gt; |.....................|   -0.4738 |    -1.444 |   -0.8955 |    -1.908 |
+#&gt; |.....................|     1.221 |    0.7910 |     1.755 |    -3.560 |
+#&gt; |.....................|    -2.244 |   -0.2675 |   -0.8607 |   -0.7175 |
+#&gt; |<span style='font-weight: bold;'>  116</span>|     467.04630 |     1.016 |    -1.905 |   -0.9246 |   -0.7619 |
+#&gt; |.....................|   -0.9696 |    -1.499 |     1.777 |    -1.845 |
+#&gt; |.....................|   -0.8944 |   -0.4866 |   -0.9055 |    -1.143 |
+#&gt; |.....................|   -0.6133 |   -0.8582 |   -0.9923 |   -0.3775 |
+#&gt; |    U|      467.0463 |     92.45 |    -6.105 |   -0.9026 |    -2.024 |
+#&gt; |.....................|    -4.582 |    0.1762 |     1.930 |   0.03032 |
+#&gt; |.....................|    0.8218 |   0.06972 |    0.7101 |    0.6601 |
+#&gt; |.....................|     1.484 |    0.9686 |    0.7611 |     1.808 |
+#&gt; |    X|<span style='font-weight: bold;'>      467.0463</span> |     92.45 |  0.002231 |    0.2885 |    0.1321 |
+#&gt; |.....................|   0.01023 |    0.5439 |     1.930 |   0.03032 |
+#&gt; |.....................|    0.8218 |   0.06972 |    0.7101 |    0.6601 |
+#&gt; |.....................|     1.484 |    0.9686 |    0.7611 |     1.808 |
+#&gt; |    F| Forward Diff. |    -2.647 | -0.007887 |     1.876 |    0.1719 |
+#&gt; |.....................|   -0.4730 |    -1.410 |   -0.8701 |    -1.589 |
+#&gt; |.....................|     1.184 |    0.7244 |     1.544 |    -4.110 |
+#&gt; |.....................|    -1.544 |   -0.3120 |   -0.9430 |   -0.6527 |
+#&gt; |<span style='font-weight: bold;'>  117</span>|     467.02543 |     1.017 |    -1.906 |   -0.9263 |   -0.7625 |
+#&gt; |.....................|   -0.9684 |    -1.497 |     1.777 |    -1.843 |
+#&gt; |.....................|   -0.8954 |   -0.4879 |   -0.9089 |    -1.137 |
+#&gt; |.....................|   -0.6116 |   -0.8583 |   -0.9915 |   -0.3753 |
+#&gt; |    U|     467.02543 |     92.58 |    -6.106 |   -0.9041 |    -2.025 |
+#&gt; |.....................|    -4.581 |    0.1775 |     1.930 |   0.03038 |
+#&gt; |.....................|    0.8214 |   0.06968 |    0.7076 |    0.6649 |
+#&gt; |.....................|     1.486 |    0.9686 |    0.7618 |     1.811 |
+#&gt; |    X|<span style='font-weight: bold;'>     467.02543</span> |     92.58 |  0.002230 |    0.2882 |    0.1320 |
+#&gt; |.....................|   0.01025 |    0.5443 |     1.930 |   0.03038 |
+#&gt; |.....................|    0.8214 |   0.06968 |    0.7076 |    0.6649 |
+#&gt; |.....................|     1.486 |    0.9686 |    0.7618 |     1.811 |
+#&gt; |    F| Forward Diff. |     12.94 |  -0.02385 |     1.879 |    0.1542 |
+#&gt; |.....................|   -0.4735 |    -1.378 |   -0.8918 |    -1.355 |
+#&gt; |.....................|     1.131 |    0.6590 |     1.631 |    -3.618 |
+#&gt; |.....................|    -1.430 |   -0.2321 |   -0.8462 |   -0.6495 |
+#&gt; |<span style='font-weight: bold;'>  118</span>|     466.99646 |     1.016 |    -1.906 |   -0.9273 |   -0.7632 |
+#&gt; |.....................|   -0.9670 |    -1.494 |     1.776 |    -1.841 |
+#&gt; |.....................|   -0.8958 |   -0.4892 |   -0.9132 |    -1.133 |
+#&gt; |.....................|   -0.6101 |   -0.8587 |   -0.9911 |   -0.3725 |
+#&gt; |    U|     466.99646 |     92.42 |    -6.106 |   -0.9050 |    -2.026 |
+#&gt; |.....................|    -4.579 |    0.1788 |     1.930 |   0.03043 |
+#&gt; |.....................|    0.8212 |   0.06964 |    0.7044 |    0.6690 |
+#&gt; |.....................|     1.488 |    0.9682 |    0.7622 |     1.814 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.99646</span> |     92.42 |  0.002230 |    0.2880 |    0.1319 |
+#&gt; |.....................|   0.01026 |    0.5446 |     1.930 |   0.03043 |
+#&gt; |.....................|    0.8212 |   0.06964 |    0.7044 |    0.6690 |
+#&gt; |.....................|     1.488 |    0.9682 |    0.7622 |     1.814 |
+#&gt; |    F| Forward Diff. |    -5.590 |  -0.05004 |     1.738 |    0.1737 |
+#&gt; |.....................|   -0.4573 |    -1.378 |   -0.8791 |    -1.534 |
+#&gt; |.....................|     1.117 |    0.8064 |     1.528 |    -3.141 |
+#&gt; |.....................|   -0.8220 |    0.1296 |   -0.3838 |   -0.6246 |
+#&gt; |<span style='font-weight: bold;'>  119</span>|     466.97639 |     1.017 |    -1.906 |   -0.9282 |   -0.7640 |
+#&gt; |.....................|   -0.9655 |    -1.490 |     1.776 |    -1.839 |
+#&gt; |.....................|   -0.8964 |   -0.4910 |   -0.9175 |    -1.129 |
+#&gt; |.....................|   -0.6092 |   -0.8593 |   -0.9910 |   -0.3693 |
+#&gt; |    U|     466.97639 |     92.52 |    -6.106 |   -0.9059 |    -2.026 |
+#&gt; |.....................|    -4.578 |    0.1803 |     1.930 |   0.03049 |
+#&gt; |.....................|    0.8210 |   0.06959 |    0.7013 |    0.6726 |
+#&gt; |.....................|     1.489 |    0.9676 |    0.7623 |     1.818 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.97639</span> |     92.52 |  0.002230 |    0.2878 |    0.1318 |
+#&gt; |.....................|   0.01028 |    0.5450 |     1.930 |   0.03049 |
+#&gt; |.....................|    0.8210 |   0.06959 |    0.7013 |    0.6726 |
+#&gt; |.....................|     1.489 |    0.9676 |    0.7623 |     1.818 |
+#&gt; |    F| Forward Diff. |     7.027 |  -0.06281 |     1.755 |    0.1604 |
+#&gt; |.....................|   -0.4507 |    -1.349 |   -0.8053 |    -1.299 |
+#&gt; |.....................|     1.095 |    0.6623 |     1.032 |    -2.794 |
+#&gt; |.....................|   -0.8171 |   0.07286 |   -0.3538 |   -0.5889 |
+#&gt; |<span style='font-weight: bold;'>  120</span>|     466.96001 |     1.015 |    -1.906 |   -0.9299 |   -0.7649 |
+#&gt; |.....................|   -0.9637 |    -1.486 |     1.775 |    -1.837 |
+#&gt; |.....................|   -0.8976 |   -0.4931 |   -0.9192 |    -1.125 |
+#&gt; |.....................|   -0.6091 |   -0.8600 |   -0.9916 |   -0.3657 |
+#&gt; |    U|     466.96001 |     92.40 |    -6.106 |   -0.9074 |    -2.027 |
+#&gt; |.....................|    -4.576 |    0.1824 |     1.930 |   0.03055 |
+#&gt; |.....................|    0.8205 |   0.06953 |    0.7000 |    0.6758 |
+#&gt; |.....................|     1.489 |    0.9669 |    0.7618 |     1.823 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.96001</span> |     92.40 |  0.002230 |    0.2875 |    0.1317 |
+#&gt; |.....................|   0.01029 |    0.5455 |     1.930 |   0.03055 |
+#&gt; |.....................|    0.8205 |   0.06953 |    0.7000 |    0.6758 |
+#&gt; |.....................|     1.489 |    0.9669 |    0.7618 |     1.823 |
+#&gt; |    F| Forward Diff. |    -7.315 |  -0.08361 |     1.595 |    0.1755 |
+#&gt; |.....................|   -0.4289 |    -1.331 |   -0.8104 |    -1.428 |
+#&gt; |.....................|     1.055 |    0.7710 |     1.242 |    -2.826 |
+#&gt; |.....................|    -1.346 |   -0.3282 |   -0.6399 |   -0.5709 |
+#&gt; |<span style='font-weight: bold;'>  121</span>|     466.94053 |     1.016 |    -1.905 |   -0.9315 |   -0.7662 |
+#&gt; |.....................|   -0.9617 |    -1.480 |     1.774 |    -1.835 |
+#&gt; |.....................|   -0.8987 |   -0.4954 |   -0.9193 |    -1.121 |
+#&gt; |.....................|   -0.6079 |   -0.8601 |   -0.9919 |   -0.3632 |
+#&gt; |    U|     466.94053 |     92.48 |    -6.105 |   -0.9088 |    -2.029 |
+#&gt; |.....................|    -4.574 |    0.1849 |     1.929 |   0.03061 |
+#&gt; |.....................|    0.8200 |   0.06946 |    0.6999 |    0.6792 |
+#&gt; |.....................|     1.490 |    0.9668 |    0.7615 |     1.826 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.94053</span> |     92.48 |  0.002231 |    0.2873 |    0.1315 |
+#&gt; |.....................|   0.01031 |    0.5461 |     1.929 |   0.03061 |
+#&gt; |.....................|    0.8200 |   0.06946 |    0.6999 |    0.6792 |
+#&gt; |.....................|     1.490 |    0.9668 |    0.7615 |     1.826 |
+#&gt; |    F| Forward Diff. |     2.448 |  -0.09452 |     1.578 |    0.1631 |
+#&gt; |.....................|   -0.4178 |    -1.275 |   -0.7880 |    -1.291 |
+#&gt; |.....................|     1.013 |    0.7275 |     1.336 |   -0.1176 |
+#&gt; |.....................|    -1.297 |   -0.2757 |   -0.6338 |   -0.5586 |
+#&gt; |<span style='font-weight: bold;'>  122</span>|     466.92529 |     1.015 |    -1.905 |   -0.9321 |   -0.7676 |
+#&gt; |.....................|   -0.9593 |    -1.476 |     1.775 |    -1.833 |
+#&gt; |.....................|   -0.8992 |   -0.4984 |   -0.9232 |    -1.122 |
+#&gt; |.....................|   -0.6063 |   -0.8604 |   -0.9916 |   -0.3612 |
+#&gt; |    U|     466.92529 |     92.34 |    -6.105 |   -0.9093 |    -2.030 |
+#&gt; |.....................|    -4.572 |    0.1871 |     1.930 |   0.03066 |
+#&gt; |.....................|    0.8198 |   0.06938 |    0.6971 |    0.6791 |
+#&gt; |.....................|     1.492 |    0.9666 |    0.7618 |     1.828 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.92529</span> |     92.34 |  0.002233 |    0.2871 |    0.1313 |
+#&gt; |.....................|   0.01034 |    0.5466 |     1.930 |   0.03066 |
+#&gt; |.....................|    0.8198 |   0.06938 |    0.6971 |    0.6791 |
+#&gt; |.....................|     1.492 |    0.9666 |    0.7618 |     1.828 |
+#&gt; |    F| Forward Diff. |    -12.72 |  -0.09950 |     1.479 |    0.1754 |
+#&gt; |.....................|   -0.4012 |    -1.242 |   -0.7866 |    -1.413 |
+#&gt; |.....................|    0.9668 |    0.6187 |    0.9349 |    -2.630 |
+#&gt; |.....................|    -1.260 |   -0.3489 |   -0.4063 |   -0.5476 |
+#&gt; |<span style='font-weight: bold;'>  123</span>|     466.89942 |     1.016 |    -1.904 |   -0.9326 |   -0.7693 |
+#&gt; |.....................|   -0.9564 |    -1.470 |     1.775 |    -1.832 |
+#&gt; |.....................|   -0.8995 |   -0.5006 |   -0.9260 |    -1.122 |
+#&gt; |.....................|   -0.6055 |   -0.8609 |   -0.9921 |   -0.3587 |
+#&gt; |    U|     466.89942 |     92.48 |    -6.104 |   -0.9097 |    -2.032 |
+#&gt; |.....................|    -4.569 |    0.1897 |     1.929 |   0.03069 |
+#&gt; |.....................|    0.8197 |   0.06931 |    0.6950 |    0.6788 |
+#&gt; |.....................|     1.493 |    0.9661 |    0.7614 |     1.831 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.89942</span> |     92.48 |  0.002235 |    0.2871 |    0.1311 |
+#&gt; |.....................|   0.01037 |    0.5473 |     1.929 |   0.03069 |
+#&gt; |.....................|    0.8197 |   0.06931 |    0.6950 |    0.6788 |
+#&gt; |.....................|     1.493 |    0.9661 |    0.7614 |     1.831 |
+#&gt; |    F| Forward Diff. |     3.439 |  -0.09008 |     1.544 |    0.1555 |
+#&gt; |.....................|   -0.3845 |    -1.174 |   -0.7709 |    -1.201 |
+#&gt; |.....................|    0.9305 |    0.6799 |     1.153 |    -2.871 |
+#&gt; |.....................|    -1.766 |   -0.2963 |   -0.5389 |   -0.5305 |
+#&gt; |<span style='font-weight: bold;'>  124</span>|     466.87885 |     1.016 |    -1.902 |   -0.9335 |   -0.7713 |
+#&gt; |.....................|   -0.9544 |    -1.465 |     1.775 |    -1.831 |
+#&gt; |.....................|   -0.8988 |   -0.5028 |   -0.9291 |    -1.120 |
+#&gt; |.....................|   -0.6025 |   -0.8609 |   -0.9918 |   -0.3573 |
+#&gt; |    U|     466.87885 |     92.42 |    -6.102 |   -0.9106 |    -2.034 |
+#&gt; |.....................|    -4.567 |    0.1922 |     1.930 |   0.03072 |
+#&gt; |.....................|    0.8200 |   0.06925 |    0.6928 |    0.6803 |
+#&gt; |.....................|     1.497 |    0.9661 |    0.7616 |     1.833 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.87885</span> |     92.42 |  0.002239 |    0.2869 |    0.1309 |
+#&gt; |.....................|   0.01039 |    0.5479 |     1.930 |   0.03072 |
+#&gt; |.....................|    0.8200 |   0.06925 |    0.6928 |    0.6803 |
+#&gt; |.....................|     1.497 |    0.9661 |    0.7616 |     1.833 |
+#&gt; |    F| Forward Diff. |    -3.274 |  -0.09794 |     1.477 |    0.1445 |
+#&gt; |.....................|   -0.3711 |    -1.126 |   -0.7697 |    -1.253 |
+#&gt; |.....................|    0.9213 |    0.5797 |    0.6929 |    -2.254 |
+#&gt; |.....................|   -0.4364 |   0.05549 |  -0.07007 |   -0.5105 |
+#&gt; |<span style='font-weight: bold;'>  125</span>|     466.87374 |     1.017 |    -1.901 |   -0.9363 |   -0.7725 |
+#&gt; |.....................|   -0.9523 |    -1.459 |     1.775 |    -1.829 |
+#&gt; |.....................|   -0.9004 |   -0.5050 |   -0.9284 |    -1.119 |
+#&gt; |.....................|   -0.6029 |   -0.8616 |   -0.9930 |   -0.3542 |
+#&gt; |    U|     466.87374 |     92.57 |    -6.101 |   -0.9131 |    -2.035 |
+#&gt; |.....................|    -4.565 |    0.1945 |     1.929 |   0.03078 |
+#&gt; |.....................|    0.8193 |   0.06919 |    0.6933 |    0.6817 |
+#&gt; |.....................|     1.496 |    0.9655 |    0.7605 |     1.836 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.87374</span> |     92.57 |  0.002241 |    0.2864 |    0.1307 |
+#&gt; |.....................|   0.01041 |    0.5485 |     1.929 |   0.03078 |
+#&gt; |.....................|    0.8193 |   0.06919 |    0.6933 |    0.6817 |
+#&gt; |.....................|     1.496 |    0.9655 |    0.7605 |     1.836 |
+#&gt; |    F| Forward Diff. |     13.60 |  -0.09484 |     1.445 |    0.1251 |
+#&gt; |.....................|   -0.3584 |    -1.070 |   -0.7354 |    -1.048 |
+#&gt; |.....................|    0.8551 |    0.6144 |    0.8824 | -0.009520 |
+#&gt; |.....................|   -0.4410 |   0.04024 |   -0.2274 |   -0.5153 |
+#&gt; |<span style='font-weight: bold;'>  126</span>|     466.85547 |     1.016 |    -1.900 |   -0.9388 |   -0.7737 |
+#&gt; |.....................|   -0.9500 |    -1.454 |     1.774 |    -1.828 |
+#&gt; |.....................|   -0.9020 |   -0.5070 |   -0.9271 |    -1.119 |
+#&gt; |.....................|   -0.6040 |   -0.8622 |   -0.9946 |   -0.3509 |
+#&gt; |    U|     466.85547 |     92.42 |    -6.100 |   -0.9152 |    -2.036 |
+#&gt; |.....................|    -4.562 |    0.1970 |     1.929 |   0.03083 |
+#&gt; |.....................|    0.8186 |   0.06913 |    0.6942 |    0.6818 |
+#&gt; |.....................|     1.495 |    0.9648 |    0.7592 |     1.841 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.85547</span> |     92.42 |  0.002243 |    0.2859 |    0.1305 |
+#&gt; |.....................|   0.01044 |    0.5491 |     1.929 |   0.03083 |
+#&gt; |.....................|    0.8186 |   0.06913 |    0.6942 |    0.6818 |
+#&gt; |.....................|     1.495 |    0.9648 |    0.7592 |     1.841 |
+#&gt; |    F| Forward Diff. |    -2.539 |  -0.09755 |     1.262 |    0.1433 |
+#&gt; |.....................|   -0.3291 |    -1.038 |   -0.7482 |    -1.225 |
+#&gt; |.....................|    0.8087 |    0.5023 |    0.8171 | -0.005344 |
+#&gt; |.....................|   -0.4685 |   0.01356 |   -0.1499 |   -0.5112 |
+#&gt; |<span style='font-weight: bold;'>  127</span>|     466.84409 |     1.016 |    -1.899 |   -0.9408 |   -0.7751 |
+#&gt; |.....................|   -0.9477 |    -1.449 |     1.774 |    -1.826 |
+#&gt; |.....................|   -0.9037 |   -0.5088 |   -0.9269 |    -1.119 |
+#&gt; |.....................|   -0.6048 |   -0.8630 |   -0.9960 |   -0.3473 |
+#&gt; |    U|     466.84409 |     92.47 |    -6.099 |   -0.9171 |    -2.037 |
+#&gt; |.....................|    -4.560 |    0.1996 |     1.929 |   0.03088 |
+#&gt; |.....................|    0.8179 |   0.06907 |    0.6944 |    0.6816 |
+#&gt; |.....................|     1.494 |    0.9641 |    0.7580 |     1.845 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.84409</span> |     92.47 |  0.002245 |    0.2856 |    0.1304 |
+#&gt; |.....................|   0.01046 |    0.5497 |     1.929 |   0.03088 |
+#&gt; |.....................|    0.8179 |   0.06907 |    0.6944 |    0.6816 |
+#&gt; |.....................|     1.494 |    0.9641 |    0.7580 |     1.845 |
+#&gt; |    F| Forward Diff. |     3.205 |  -0.09489 |     1.201 |    0.1289 |
+#&gt; |.....................|   -0.3142 |   -0.9889 |   -0.7667 |    -1.156 |
+#&gt; |.....................|    0.7401 |    0.5570 |     1.301 |    -1.479 |
+#&gt; |.....................|    -1.860 |   -0.4540 |   -0.5722 |   -0.5005 |
+#&gt; |<span style='font-weight: bold;'>  128</span>|     466.83069 |     1.016 |    -1.897 |   -0.9405 |   -0.7762 |
+#&gt; |.....................|   -0.9462 |    -1.443 |     1.775 |    -1.825 |
+#&gt; |.....................|   -0.9047 |   -0.5101 |   -0.9307 |    -1.119 |
+#&gt; |.....................|   -0.6046 |   -0.8636 |   -0.9969 |   -0.3435 |
+#&gt; |    U|     466.83069 |     92.41 |    -6.097 |   -0.9168 |    -2.039 |
+#&gt; |.....................|    -4.559 |    0.2019 |     1.929 |   0.03091 |
+#&gt; |.....................|    0.8175 |   0.06904 |    0.6917 |    0.6819 |
+#&gt; |.....................|     1.494 |    0.9635 |    0.7572 |     1.850 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.83069</span> |     92.41 |  0.002250 |    0.2856 |    0.1302 |
+#&gt; |.....................|   0.01048 |    0.5503 |     1.929 |   0.03091 |
+#&gt; |.....................|    0.8175 |   0.06904 |    0.6917 |    0.6819 |
+#&gt; |.....................|     1.494 |    0.9635 |    0.7572 |     1.850 |
+#&gt; |<span style='font-weight: bold;'>  129</span>|     466.81923 |     1.016 |    -1.894 |   -0.9398 |   -0.7773 |
+#&gt; |.....................|   -0.9447 |    -1.438 |     1.775 |    -1.824 |
+#&gt; |.....................|   -0.9056 |   -0.5113 |   -0.9343 |    -1.119 |
+#&gt; |.....................|   -0.6049 |   -0.8643 |   -0.9979 |   -0.3395 |
+#&gt; |    U|     466.81923 |     92.43 |    -6.094 |   -0.9162 |    -2.040 |
+#&gt; |.....................|    -4.557 |    0.2043 |     1.930 |   0.03094 |
+#&gt; |.....................|    0.8171 |   0.06900 |    0.6890 |    0.6818 |
+#&gt; |.....................|     1.494 |    0.9628 |    0.7563 |     1.854 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.81923</span> |     92.43 |  0.002255 |    0.2857 |    0.1301 |
+#&gt; |.....................|   0.01049 |    0.5509 |     1.930 |   0.03094 |
+#&gt; |.....................|    0.8171 |   0.06900 |    0.6890 |    0.6818 |
+#&gt; |.....................|     1.494 |    0.9628 |    0.7563 |     1.854 |
+#&gt; |<span style='font-weight: bold;'>  130</span>|     466.78977 |     1.016 |    -1.887 |   -0.9376 |   -0.7810 |
+#&gt; |.....................|   -0.9400 |    -1.422 |     1.776 |    -1.820 |
+#&gt; |.....................|   -0.9086 |   -0.5153 |   -0.9461 |    -1.119 |
+#&gt; |.....................|   -0.6057 |   -0.8666 |    -1.001 |   -0.3266 |
+#&gt; |    U|     466.78977 |     92.47 |    -6.087 |   -0.9142 |    -2.043 |
+#&gt; |.....................|    -4.552 |    0.2120 |     1.930 |   0.03105 |
+#&gt; |.....................|    0.8159 |   0.06889 |    0.6804 |    0.6815 |
+#&gt; |.....................|     1.493 |    0.9606 |    0.7533 |     1.870 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.78977</span> |     92.47 |  0.002272 |    0.2861 |    0.1296 |
+#&gt; |.....................|   0.01054 |    0.5528 |     1.930 |   0.03105 |
+#&gt; |.....................|    0.8159 |   0.06889 |    0.6804 |    0.6815 |
+#&gt; |.....................|     1.493 |    0.9606 |    0.7533 |     1.870 |
+#&gt; |<span style='font-weight: bold;'>  131</span>|     466.76586 |     1.017 |    -1.875 |   -0.9340 |   -0.7871 |
+#&gt; |.....................|   -0.9321 |    -1.394 |     1.779 |    -1.814 |
+#&gt; |.....................|   -0.9134 |   -0.5218 |   -0.9656 |    -1.119 |
+#&gt; |.....................|   -0.6071 |   -0.8705 |    -1.007 |   -0.3052 |
+#&gt; |    U|     466.76586 |     92.53 |    -6.075 |   -0.9110 |    -2.049 |
+#&gt; |.....................|    -4.545 |    0.2247 |     1.931 |   0.03121 |
+#&gt; |.....................|    0.8139 |   0.06870 |    0.6661 |    0.6811 |
+#&gt; |.....................|     1.491 |    0.9569 |    0.7485 |     1.896 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.76586</span> |     92.53 |  0.002300 |    0.2868 |    0.1288 |
+#&gt; |.....................|   0.01062 |    0.5559 |     1.931 |   0.03121 |
+#&gt; |.....................|    0.8139 |   0.06870 |    0.6661 |    0.6811 |
+#&gt; |.....................|     1.491 |    0.9569 |    0.7485 |     1.896 |
+#&gt; |    F| Forward Diff. |     10.71 |  -0.05605 |     1.440 |   0.09508 |
+#&gt; |.....................|   -0.1459 |   -0.5070 |   -0.9907 |   -0.8007 |
+#&gt; |.....................|    0.4069 |    0.2923 |   0.01818 |    -1.553 |
+#&gt; |.....................|    -1.109 |   -0.3306 |   -0.3991 |   -0.2309 |
+#&gt; |<span style='font-weight: bold;'>  132</span>|     466.72646 |     1.014 |    -1.848 |   -0.9815 |   -0.8092 |
+#&gt; |.....................|   -0.9160 |    -1.342 |     1.783 |    -1.808 |
+#&gt; |.....................|   -0.9032 |   -0.5322 |   -0.9570 |    -1.117 |
+#&gt; |.....................|   -0.6032 |   -0.8748 |    -1.022 |   -0.2748 |
+#&gt; |    U|     466.72646 |     92.30 |    -6.048 |   -0.9533 |    -2.072 |
+#&gt; |.....................|    -4.528 |    0.2483 |     1.933 |   0.03140 |
+#&gt; |.....................|    0.8182 |   0.06840 |    0.6724 |    0.6828 |
+#&gt; |.....................|     1.496 |    0.9528 |    0.7357 |     1.933 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.72646</span> |     92.30 |  0.002362 |    0.2782 |    0.1260 |
+#&gt; |.....................|   0.01080 |    0.5618 |     1.933 |   0.03140 |
+#&gt; |.....................|    0.8182 |   0.06840 |    0.6724 |    0.6828 |
+#&gt; |.....................|     1.496 |    0.9528 |    0.7357 |     1.933 |
+#&gt; |    F| Forward Diff. |    -13.11 |  -0.01237 |   -0.5306 |  0.001870 |
+#&gt; |.....................|   0.01074 | -0.001553 |   -0.5011 |    -1.124 |
+#&gt; |.....................|    0.5240 |    0.3999 |    0.1337 |    0.6209 |
+#&gt; |.....................|   -0.3667 |   -0.5464 |   -0.9326 |   -0.1861 |
+#&gt; |<span style='font-weight: bold;'>  133</span>|     466.72714 |     1.014 |    -1.830 |   -0.9704 |   -0.8250 |
+#&gt; |.....................|   -0.9153 |    -1.342 |     1.791 |    -1.785 |
+#&gt; |.....................|   -0.9449 |   -0.5943 |   -0.9266 |    -1.116 |
+#&gt; |.....................|   -0.5962 |   -0.8737 |    -1.020 |   -0.2698 |
+#&gt; |    U|     466.72714 |     92.32 |    -6.030 |   -0.9434 |    -2.087 |
+#&gt; |.....................|    -4.528 |    0.2486 |     1.936 |   0.03205 |
+#&gt; |.....................|    0.8009 |   0.06660 |    0.6946 |    0.6846 |
+#&gt; |.....................|     1.504 |    0.9539 |    0.7372 |     1.939 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.72714</span> |     92.32 |  0.002405 |    0.2802 |    0.1240 |
+#&gt; |.....................|   0.01081 |    0.5618 |     1.936 |   0.03205 |
+#&gt; |.....................|    0.8009 |   0.06660 |    0.6946 |    0.6846 |
+#&gt; |.....................|     1.504 |    0.9539 |    0.7372 |     1.939 |
+#&gt; |<span style='font-weight: bold;'>  134</span>|     466.69721 |     1.015 |    -1.839 |   -0.9760 |   -0.8170 |
+#&gt; |.....................|   -0.9156 |    -1.342 |     1.787 |    -1.797 |
+#&gt; |.....................|   -0.9238 |   -0.5630 |   -0.9420 |    -1.117 |
+#&gt; |.....................|   -0.5997 |   -0.8742 |    -1.021 |   -0.2723 |
+#&gt; |    U|     466.69721 |     92.41 |    -6.039 |   -0.9484 |    -2.079 |
+#&gt; |.....................|    -4.528 |    0.2485 |     1.935 |   0.03173 |
+#&gt; |.....................|    0.8096 |   0.06750 |    0.6834 |    0.6836 |
+#&gt; |.....................|     1.500 |    0.9534 |    0.7365 |     1.936 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.69721</span> |     92.41 |  0.002383 |    0.2792 |    0.1250 |
+#&gt; |.....................|   0.01080 |    0.5618 |     1.935 |   0.03173 |
+#&gt; |.....................|    0.8096 |   0.06750 |    0.6834 |    0.6836 |
+#&gt; |.....................|     1.500 |    0.9534 |    0.7365 |     1.936 |
+#&gt; |    F| Forward Diff. |    0.5723 |  0.006769 |   -0.2879 |  -0.06332 |
+#&gt; |.....................|   0.01114 |  -0.03155 |   -0.3915 |   -0.7923 |
+#&gt; |.....................|   -0.3201 |   -0.2330 |    0.8086 |    -1.424 |
+#&gt; |.....................|   -0.3663 |   -0.4815 |   -0.7933 |   -0.2384 |
+#&gt; |<span style='font-weight: bold;'>  135</span>|     466.73286 |     1.017 |    -1.834 |   -0.9731 |   -0.8131 |
+#&gt; |.....................|   -0.9227 |    -1.351 |     1.796 |    -1.779 |
+#&gt; |.....................|   -0.9201 |   -0.5595 |   -0.9572 |    -1.109 |
+#&gt; |.....................|   -0.6142 |   -0.8686 |    -1.016 |   -0.2440 |
+#&gt; |    U|     466.73286 |     92.54 |    -6.034 |   -0.9458 |    -2.075 |
+#&gt; |.....................|    -4.535 |    0.2444 |     1.938 |   0.03223 |
+#&gt; |.....................|    0.8111 |   0.06760 |    0.6723 |    0.6901 |
+#&gt; |.....................|     1.483 |    0.9587 |    0.7409 |     1.970 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.73286</span> |     92.54 |  0.002396 |    0.2797 |    0.1255 |
+#&gt; |.....................|   0.01072 |    0.5608 |     1.938 |   0.03223 |
+#&gt; |.....................|    0.8111 |   0.06760 |    0.6723 |    0.6901 |
+#&gt; |.....................|     1.483 |    0.9587 |    0.7409 |     1.970 |
+#&gt; |<span style='font-weight: bold;'>  136</span>|     466.69733 |     1.015 |    -1.838 |   -0.9750 |   -0.8159 |
+#&gt; |.....................|   -0.9176 |    -1.345 |     1.790 |    -1.791 |
+#&gt; |.....................|   -0.9226 |   -0.5619 |   -0.9467 |    -1.114 |
+#&gt; |.....................|   -0.6033 |   -0.8723 |    -1.019 |   -0.2644 |
+#&gt; |    U|     466.69733 |     92.40 |    -6.038 |   -0.9475 |    -2.078 |
+#&gt; |.....................|    -4.530 |    0.2474 |     1.936 |   0.03188 |
+#&gt; |.....................|    0.8101 |   0.06754 |    0.6799 |    0.6863 |
+#&gt; |.....................|     1.496 |    0.9552 |    0.7382 |     1.945 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.69733</span> |     92.40 |  0.002386 |    0.2794 |    0.1251 |
+#&gt; |.....................|   0.01078 |    0.5615 |     1.936 |   0.03188 |
+#&gt; |.....................|    0.8101 |   0.06754 |    0.6799 |    0.6863 |
+#&gt; |.....................|     1.496 |    0.9552 |    0.7382 |     1.945 |
+#&gt; |<span style='font-weight: bold;'>  137</span>|     466.69584 |     1.015 |    -1.839 |   -0.9754 |   -0.8165 |
+#&gt; |.....................|   -0.9164 |    -1.343 |     1.788 |    -1.794 |
+#&gt; |.....................|   -0.9231 |   -0.5623 |   -0.9445 |    -1.114 |
+#&gt; |.....................|   -0.6009 |   -0.8731 |    -1.020 |   -0.2689 |
+#&gt; |    U|     466.69584 |     92.37 |    -6.039 |   -0.9478 |    -2.079 |
+#&gt; |.....................|    -4.529 |    0.2480 |     1.935 |   0.03180 |
+#&gt; |.....................|    0.8099 |   0.06752 |    0.6815 |    0.6857 |
+#&gt; |.....................|     1.499 |    0.9544 |    0.7377 |     1.940 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.69584</span> |     92.37 |  0.002384 |    0.2793 |    0.1251 |
+#&gt; |.....................|   0.01079 |    0.5617 |     1.935 |   0.03180 |
+#&gt; |.....................|    0.8099 |   0.06752 |    0.6815 |    0.6857 |
+#&gt; |.....................|     1.499 |    0.9544 |    0.7377 |     1.940 |
+#&gt; |    F| Forward Diff. |    -3.069 | -0.001275 |   -0.2861 |  -0.04975 |
+#&gt; |.....................|   0.01387 |  -0.05203 |   -0.3437 |   -0.7173 |
+#&gt; |.....................|   -0.2694 |   -0.1778 |    0.5026 |    0.8511 |
+#&gt; |.....................|   -0.9213 |   -0.7376 |   -0.9765 |   -0.1682 |
+#&gt; |<span style='font-weight: bold;'>  138</span>|     466.68962 |     1.016 |    -1.839 |   -0.9764 |   -0.8159 |
+#&gt; |.....................|   -0.9167 |    -1.342 |     1.790 |    -1.793 |
+#&gt; |.....................|   -0.9191 |   -0.5597 |   -0.9461 |    -1.115 |
+#&gt; |.....................|   -0.6002 |   -0.8712 |    -1.018 |   -0.2680 |
+#&gt; |    U|     466.68962 |     92.46 |    -6.039 |   -0.9488 |    -2.078 |
+#&gt; |.....................|    -4.529 |    0.2485 |     1.936 |   0.03184 |
+#&gt; |.....................|    0.8115 |   0.06760 |    0.6803 |    0.6854 |
+#&gt; |.....................|     1.499 |    0.9562 |    0.7392 |     1.941 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.68962</span> |     92.46 |  0.002385 |    0.2791 |    0.1251 |
+#&gt; |.....................|   0.01079 |    0.5618 |     1.936 |   0.03184 |
+#&gt; |.....................|    0.8115 |   0.06760 |    0.6803 |    0.6854 |
+#&gt; |.....................|     1.499 |    0.9562 |    0.7392 |     1.941 |
+#&gt; |    F| Forward Diff. |     6.342 |  0.001592 |   -0.2787 |  -0.05882 |
+#&gt; |.....................|  0.004933 |  -0.02534 |   -0.4440 |   -0.5467 |
+#&gt; |.....................|   -0.1484 |  -0.03146 |    0.4648 |    -1.264 |
+#&gt; |.....................|   -0.3607 |   -0.2274 |   -0.5157 |   -0.1312 |
+#&gt; |<span style='font-weight: bold;'>  139</span>|     466.68314 |     1.015 |    -1.839 |   -0.9751 |   -0.8151 |
+#&gt; |.....................|   -0.9166 |    -1.339 |     1.792 |    -1.792 |
+#&gt; |.....................|   -0.9160 |   -0.5585 |   -0.9470 |    -1.115 |
+#&gt; |.....................|   -0.5998 |   -0.8691 |    -1.016 |   -0.2676 |
+#&gt; |    U|     466.68314 |     92.36 |    -6.039 |   -0.9476 |    -2.077 |
+#&gt; |.....................|    -4.529 |    0.2501 |     1.937 |   0.03187 |
+#&gt; |.....................|    0.8128 |   0.06763 |    0.6797 |    0.6853 |
+#&gt; |.....................|     1.500 |    0.9582 |    0.7404 |     1.942 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.68314</span> |     92.36 |  0.002385 |    0.2794 |    0.1252 |
+#&gt; |.....................|   0.01079 |    0.5622 |     1.937 |   0.03187 |
+#&gt; |.....................|    0.8128 |   0.06763 |    0.6797 |    0.6853 |
+#&gt; |.....................|     1.500 |    0.9582 |    0.7404 |     1.942 |
+#&gt; |    F| Forward Diff. |    -4.258 |-0.0003497 |   -0.2788 |  -0.03383 |
+#&gt; |.....................|   0.01408 |   0.02647 |   -0.2857 |   -0.5956 |
+#&gt; |.....................|  -0.05089 |   0.05050 |    0.4395 |    0.8187 |
+#&gt; |.....................|   -0.2669 |  -0.06868 |   -0.3694 |   -0.1159 |
+#&gt; |<span style='font-weight: bold;'>  140</span>|     466.67997 |     1.015 |    -1.839 |   -0.9739 |   -0.8142 |
+#&gt; |.....................|   -0.9180 |    -1.339 |     1.794 |    -1.790 |
+#&gt; |.....................|   -0.9137 |   -0.5623 |   -0.9494 |    -1.116 |
+#&gt; |.....................|   -0.6002 |   -0.8690 |    -1.016 |   -0.2664 |
+#&gt; |    U|     466.67997 |     92.38 |    -6.039 |   -0.9465 |    -2.077 |
+#&gt; |.....................|    -4.531 |    0.2499 |     1.938 |   0.03191 |
+#&gt; |.....................|    0.8138 |   0.06752 |    0.6779 |    0.6846 |
+#&gt; |.....................|     1.499 |    0.9583 |    0.7410 |     1.943 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.67997</span> |     92.38 |  0.002385 |    0.2796 |    0.1254 |
+#&gt; |.....................|   0.01078 |    0.5622 |     1.938 |   0.03191 |
+#&gt; |.....................|    0.8138 |   0.06752 |    0.6779 |    0.6846 |
+#&gt; |.....................|     1.499 |    0.9583 |    0.7410 |     1.943 |
+#&gt; |    M|   Mixed Diff. |    -1.882 |-7.391e+04 |   -0.2259 |  -0.03295 |
+#&gt; |.....................|  0.005718 |   0.01130 |   -0.3842 |   -0.4930 |
+#&gt; |.....................|  -0.04972 |  -0.05953 |    0.5251 |    -1.398 |
+#&gt; |.....................|   -0.3564 |  -0.08212 |   -0.3242 |   -0.1008 |
+#&gt; |<span style='font-weight: bold;'>  141</span>|     466.67997 |     1.015 |    -1.839 |   -0.9739 |   -0.8142 |
+#&gt; |.....................|   -0.9180 |    -1.339 |     1.794 |    -1.790 |
+#&gt; |.....................|   -0.9137 |   -0.5623 |   -0.9494 |    -1.116 |
+#&gt; |.....................|   -0.6002 |   -0.8690 |    -1.016 |   -0.2664 |
+#&gt; |    U|     466.67997 |     92.38 |    -6.039 |   -0.9465 |    -2.077 |
+#&gt; |.....................|    -4.531 |    0.2499 |     1.938 |   0.03191 |
+#&gt; |.....................|    0.8138 |   0.06752 |    0.6779 |    0.6846 |
+#&gt; |.....................|     1.499 |    0.9583 |    0.7410 |     1.943 |
+#&gt; |    X|<span style='font-weight: bold;'>     466.67997</span> |     92.38 |  0.002385 |    0.2796 |    0.1254 |
+#&gt; |.....................|   0.01078 |    0.5622 |     1.938 |   0.03191 |
+#&gt; |.....................|    0.8138 |   0.06752 |    0.6779 |    0.6846 |
+#&gt; |.....................|     1.499 |    0.9583 |    0.7410 |     1.943 |
+#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: ETAs were reset to zero during optimization; (Can control by foceiControl(resetEtaP=.))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: using R matrix to calculate covariance, can check sandwich or S matrix with $covRS and $covS</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'>
+<span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span>
+  <span class='va'>f_nlmixr_sfo_sfo_focei_const</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_fomc_sfo_focei_const</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_dfop_sfo_focei_const</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_fomc_sfo_saem_obs</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_fomc_sfo_focei_obs</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_dfop_sfo_saem_obs</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_dfop_sfo_focei_obs</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_fomc_sfo_focei_tc</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_dfop_sfo_focei_tc</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_fomc_sfo_saem_obs_tc</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_fomc_sfo_focei_obs_tc</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_dfop_sfo_saem_obs_tc</span><span class='op'>$</span><span class='va'>nm</span>,
+  <span class='va'>f_nlmixr_dfop_sfo_focei_obs_tc</span><span class='op'>$</span><span class='va'>nm</span>
+<span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'>Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt;                                   df       AIC
+#&gt; f_nlmixr_sfo_sfo_focei_const$nm    9 1082.4605
+#&gt; f_nlmixr_fomc_sfo_focei_const$nm  11  814.4261
+#&gt; f_nlmixr_dfop_sfo_focei_const$nm  13  870.2659
+#&gt; f_nlmixr_fomc_sfo_saem_obs$nm     12  788.8373
+#&gt; f_nlmixr_fomc_sfo_focei_obs$nm    12  794.5194
+#&gt; f_nlmixr_dfop_sfo_saem_obs$nm     14  815.0797
+#&gt; f_nlmixr_dfop_sfo_focei_obs$nm    14  834.8474
+#&gt; f_nlmixr_fomc_sfo_focei_tc$nm     12  812.3296
+#&gt; f_nlmixr_dfop_sfo_focei_tc$nm     14  819.4103
+#&gt; f_nlmixr_fomc_sfo_saem_obs_tc$nm  14  814.4248
+#&gt; f_nlmixr_fomc_sfo_focei_obs_tc$nm 14  787.4355
+#&gt; f_nlmixr_dfop_sfo_saem_obs_tc$nm  16  828.5143
+#&gt; f_nlmixr_dfop_sfo_focei_obs_tc$nm 16  811.1191</div><div class='input'><span class='co'># Currently, FOMC-SFO with two-component error by variable fitted by focei gives the</span>
+<span class='co'># lowest AIC</span>
+<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_nlmixr_fomc_sfo_focei_obs_tc</span><span class='op'>)</span>
+</div><div class='img'><img src='nlmixr.mmkin-2.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>f_nlmixr_fomc_sfo_focei_obs_tc</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; nlmixr version used for fitting:    2.0.5 
+#&gt; mkin version used for pre-fitting:  1.1.0 
+#&gt; R version used for fitting:         4.1.2 
+#&gt; Date of fit:     Tue Jan 11 19:40:06 2022 
+#&gt; Date of summary: Tue Jan 11 19:41:47 2022 
+#&gt; 
+#&gt; Equations:
+#&gt; d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
+#&gt; d_A1/dt = + f_parent_to_A1 * (alpha/beta) * 1/((time/beta) + 1) *
+#&gt;            parent - k_A1 * A1
+#&gt; 
+#&gt; Data:
+#&gt; 170 observations of 2 variable(s) grouped in 5 datasets
+#&gt; 
+#&gt; Degradation model predictions using RxODE
+#&gt; 
+#&gt; Fitted in 17.79 s
+#&gt; 
+#&gt; Variance model: Two-component variance unique to each observed variable 
+#&gt; 
+#&gt; Mean of starting values for individual parameters:
+#&gt;        parent_0        log_k_A1 f_parent_qlogis       log_alpha        log_beta 
+#&gt;         93.1168         -5.3034         -0.9442         -0.1065          2.2909 
+#&gt; 
+#&gt; Mean of starting values for error model parameters:
+#&gt; sigma_low_parent  rsd_high_parent     sigma_low_A1      rsd_high_A1 
+#&gt;          1.15958          0.03005          1.15958          0.03005 
+#&gt; 
+#&gt; Fixed degradation parameter values:
+#&gt; None
+#&gt; 
+#&gt; Results:
+#&gt; 
+#&gt; Likelihood calculated by focei  
+#&gt;     AIC   BIC logLik
+#&gt;   787.4 831.3 -379.7
+#&gt; 
+#&gt; Optimised parameters:
+#&gt;                    est.   lower   upper
+#&gt; parent_0        93.6717 91.2552 96.0882
+#&gt; log_k_A1        -6.3199 -8.4468 -4.1930
+#&gt; f_parent_qlogis -1.0089 -1.3823 -0.6356
+#&gt; log_alpha       -0.1616 -0.6624  0.3392
+#&gt; log_beta         2.2088  1.6800  2.7376
+#&gt; 
+#&gt; Correlation: 
+#&gt;                 prnt_0 lg__A1 f_prn_ lg_lph
+#&gt; log_k_A1         0.372                     
+#&gt; f_parent_qlogis -0.786 -0.409              
+#&gt; log_alpha        0.336  0.942 -0.306       
+#&gt; log_beta        -0.399 -0.759  0.248 -0.555
+#&gt; 
+#&gt; Random effects (omega):
+#&gt;                     eta.parent_0 eta.log_k_A1 eta.f_parent_qlogis eta.log_alpha
+#&gt; eta.parent_0               4.391        0.000              0.0000        0.0000
+#&gt; eta.log_k_A1               0.000        6.402              0.0000        0.0000
+#&gt; eta.f_parent_qlogis        0.000        0.000              0.1584        0.0000
+#&gt; eta.log_alpha              0.000        0.000              0.0000        0.3381
+#&gt; eta.log_beta               0.000        0.000              0.0000        0.0000
+#&gt;                     eta.log_beta
+#&gt; eta.parent_0               0.000
+#&gt; eta.log_k_A1               0.000
+#&gt; eta.f_parent_qlogis        0.000
+#&gt; eta.log_alpha              0.000
+#&gt; eta.log_beta               0.358
+#&gt; 
+#&gt; Variance model:
+#&gt; sigma_low_parent  rsd_high_parent     sigma_low_A1      rsd_high_A1 
+#&gt;          2.35616          0.00153          0.63564          0.08639 
+#&gt; 
+#&gt; Backtransformed parameters:
+#&gt;                   est.     lower   upper
+#&gt; parent_0       93.6717 9.126e+01 96.0882
+#&gt; k_A1            0.0018 2.146e-04  0.0151
+#&gt; f_parent_to_A1  0.2672 2.006e-01  0.3462
+#&gt; alpha           0.8508 5.156e-01  1.4038
+#&gt; beta            9.1049 5.366e+00 15.4499
+#&gt; 
+#&gt; Resulting formation fractions:
+#&gt;                 ff
+#&gt; parent_A1   0.2672
+#&gt; parent_sink 0.7328
+#&gt; 
+#&gt; Estimated disappearance times:
+#&gt;          DT50   DT90 DT50back
+#&gt; parent  11.46  127.3    38.31
+#&gt; A1     385.05 1279.1       NA</div><div class='input'><span class='co'># }</span>
+</div></pre>
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+    <nav id="toc" data-toggle="toc" class="sticky-top">
+      <h2 data-toc-skip>Contents</h2>
+    </nav>
+  </div>
+</div>
+
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+</div>
+
+      </footer>
+   </div>
+
+  
+
+
+  </body>
+</html>
+
+
diff --git a/docs/dev/reference/nobs.mkinfit.html b/docs/dev/reference/nobs.mkinfit.html
index 621eb622..0b6c963c 100644
--- a/docs/dev/reference/nobs.mkinfit.html
+++ b/docs/dev/reference/nobs.mkinfit.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -121,7 +121,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/parms.html b/docs/dev/reference/parms.html
index ba0e89bb..9f6f4225 100644
--- a/docs/dev/reference/parms.html
+++ b/docs/dev/reference/parms.html
@@ -74,7 +74,7 @@ considering the error structure that was assumed for the fit." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -123,7 +123,7 @@ considering the error structure that was assumed for the fit." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -219,10 +219,10 @@ such matrices is returned.</p>
 #&gt; 
 #&gt; $DFOP
 #&gt;             Dataset 7
-#&gt; parent_0 91.058971597
+#&gt; parent_0 91.058971589
 #&gt; k1        0.044946770
 #&gt; k2        0.002868336
-#&gt; g         0.526942414
+#&gt; g         0.526942415
 #&gt; sigma     2.221302196
 #&gt; </div><div class='input'><span class='fu'>parms</span><span class='op'>(</span><span class='va'>fits</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; $SFO
@@ -233,17 +233,17 @@ such matrices is returned.</p>
 #&gt; 
 #&gt; $FOMC
 #&gt;          Dataset 6  Dataset 7 Dataset 8 Dataset 9 Dataset 10
-#&gt; parent_0 95.558575 92.6837649 90.719787 98.383939 94.8481458
+#&gt; parent_0 95.558575 92.6837649 90.719787 98.383939 94.8481459
 #&gt; alpha     1.338667  0.4967832  1.639099  1.074460  0.2805272
 #&gt; beta     13.033315 14.1451255  5.007077  4.397126  6.9052224
 #&gt; sigma     1.847671  1.9167519  1.066063  3.146056  1.6222778
 #&gt; 
 #&gt; $DFOP
 #&gt;            Dataset 6    Dataset 7   Dataset 8   Dataset 9   Dataset 10
-#&gt; parent_0 96.55213663 91.058971597 90.34509493 98.14858820 94.311323733
+#&gt; parent_0 96.55213663 91.058971589 90.34509493 98.14858820 94.311323734
 #&gt; k1        0.21954588  0.044946770  0.41232288  0.31697588  0.080663857
 #&gt; k2        0.02957934  0.002868336  0.07581766  0.03260384  0.003425417
-#&gt; g         0.44845068  0.526942414  0.66091967  0.65322767  0.342652880
+#&gt; g         0.44845068  0.526942415  0.66091967  0.65322767  0.342652880
 #&gt; sigma     1.35690468  2.221302196  1.34169076  2.87159846  1.942067831
 #&gt; </div><div class='input'><span class='fu'>parms</span><span class='op'>(</span><span class='va'>fits</span>, transformed <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; $SFO
diff --git a/docs/dev/reference/plot.mixed.mmkin-1.png b/docs/dev/reference/plot.mixed.mmkin-1.png
index 5cb33214..be3c664a 100644
--- a/docs/dev/reference/plot.mixed.mmkin-1.png
+++ b/docs/dev/reference/plot.mixed.mmkin-1.png
diff --git a/docs/dev/reference/plot.mixed.mmkin-2.png b/docs/dev/reference/plot.mixed.mmkin-2.png
index c0d67204..b0e43b11 100644
--- a/docs/dev/reference/plot.mixed.mmkin-2.png
+++ b/docs/dev/reference/plot.mixed.mmkin-2.png
diff --git a/docs/dev/reference/plot.mixed.mmkin-3.png b/docs/dev/reference/plot.mixed.mmkin-3.png
index 5e00afe6..7e2876b3 100644
--- a/docs/dev/reference/plot.mixed.mmkin-3.png
+++ b/docs/dev/reference/plot.mixed.mmkin-3.png
diff --git a/docs/dev/reference/plot.mixed.mmkin-4.png b/docs/dev/reference/plot.mixed.mmkin-4.png
index 6a5f3b9c..945c4d41 100644
--- a/docs/dev/reference/plot.mixed.mmkin-4.png
+++ b/docs/dev/reference/plot.mixed.mmkin-4.png
diff --git a/docs/dev/reference/plot.mixed.mmkin.html b/docs/dev/reference/plot.mixed.mmkin.html
index 55c411e7..69345b2f 100644
--- a/docs/dev/reference/plot.mixed.mmkin.html
+++ b/docs/dev/reference/plot.mixed.mmkin.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -157,11 +157,13 @@
   xlim <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/range.html'>range</a></span><span class='op'>(</span><span class='va'>x</span><span class='op'>$</span><span class='va'>data</span><span class='op'>$</span><span class='va'>time</span><span class='op'>)</span>,
   resplot <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"predicted"</span>, <span class='st'>"time"</span><span class='op'>)</span>,
   pred_over <span class='op'>=</span> <span class='cn'>NULL</span>,
+  test_log_parms <span class='op'>=</span> <span class='cn'>FALSE</span>,
+  conf.level <span class='op'>=</span> <span class='fl'>0.6</span>,
   ymax <span class='op'>=</span> <span class='st'>"auto"</span>,
   maxabs <span class='op'>=</span> <span class='st'>"auto"</span>,
   ncol.legend <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/ifelse.html'>ifelse</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span><span class='op'>(</span><span class='va'>i</span><span class='op'>)</span> <span class='op'>&lt;=</span> <span class='fl'>3</span>, <span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span><span class='op'>(</span><span class='va'>i</span><span class='op'>)</span> <span class='op'>+</span> <span class='fl'>1</span>, <span class='fu'><a href='https://rdrr.io/r/base/ifelse.html'>ifelse</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span><span class='op'>(</span><span class='va'>i</span><span class='op'>)</span> <span class='op'>&lt;=</span> <span class='fl'>8</span>, <span class='fl'>3</span>, <span class='fl'>4</span><span class='op'>)</span><span class='op'>)</span>,
   nrow.legend <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Round.html'>ceiling</a></span><span class='op'>(</span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span><span class='op'>(</span><span class='va'>i</span><span class='op'>)</span> <span class='op'>+</span> <span class='fl'>1</span><span class='op'>)</span><span class='op'>/</span><span class='va'>ncol.legend</span><span class='op'>)</span>,
-  rel.height.legend <span class='op'>=</span> <span class='fl'>0.03</span> <span class='op'>+</span> <span class='fl'>0.08</span> <span class='op'>*</span> <span class='va'>nrow.legend</span>,
+  rel.height.legend <span class='op'>=</span> <span class='fl'>0.02</span> <span class='op'>+</span> <span class='fl'>0.07</span> <span class='op'>*</span> <span class='va'>nrow.legend</span>,
   rel.height.bottom <span class='op'>=</span> <span class='fl'>1.1</span>,
   pch_ds <span class='op'>=</span> <span class='fl'>1</span><span class='op'>:</span><span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span><span class='op'>(</span><span class='va'>i</span><span class='op'>)</span>,
   col_ds <span class='op'>=</span> <span class='va'>pch_ds</span> <span class='op'>+</span> <span class='fl'>1</span>,
@@ -212,6 +214,16 @@ predicted values?</p></td>
 from <a href='mkinpredict.html'>mkinpredict</a> with a compatible <a href='mkinmod.html'>mkinmod</a>.</p></td>
     </tr>
     <tr>
+      <th>test_log_parms</th>
+      <td><p>Passed to <a href='mean_degparms.html'>mean_degparms</a> in the case of an
+<a href='mixed.html'>mixed.mmkin</a> object</p></td>
+    </tr>
+    <tr>
+      <th>conf.level</th>
+      <td><p>Passed to <a href='mean_degparms.html'>mean_degparms</a> in the case of an
+<a href='mixed.html'>mixed.mmkin</a> object</p></td>
+    </tr>
+    <tr>
       <th>ymax</th>
       <td><p>Vector of maximum y axis values</p></td>
     </tr>
@@ -278,23 +290,24 @@ corresponding model prediction lines for the different datasets.</p></td>
 </div><div class='img'><img src='plot.mixed.mmkin-1.png' alt='' width='700' height='433' /></div><div class='input'>
 <span class='co'># For this fit we need to increase pnlsMaxiter, and we increase the</span>
 <span class='co'># tolerance in order to speed up the fit for this example evaluation</span>
+<span class='co'># It still takes 20 seconds to run</span>
 <span class='va'>f_nlme</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f</span>, control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>pnlsMaxIter <span class='op'>=</span> <span class='fl'>120</span>, tolerance <span class='op'>=</span> <span class='fl'>1e-3</span><span class='op'>)</span><span class='op'>)</span>
 <span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_nlme</span><span class='op'>)</span>
 </div><div class='img'><img src='plot.mixed.mmkin-2.png' alt='' width='700' height='433' /></div><div class='input'>
 <span class='va'>f_saem</span> <span class='op'>&lt;-</span> <span class='fu'><a href='saem.html'>saem</a></span><span class='op'>(</span><span class='va'>f</span>, transformations <span class='op'>=</span> <span class='st'>"saemix"</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Running main SAEM algorithm
-#&gt; [1] "Mon Dec 21 05:58:23 2020"
-#&gt; ....
-#&gt;     Minimisation finished
-#&gt; [1] "Mon Dec 21 05:58:30 2020"</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem</span><span class='op'>)</span>
-</div><div class='img'><img src='plot.mixed.mmkin-3.png' alt='' width='700' height='433' /></div><div class='input'>
+</div><div class='output co'>#&gt; <span class='error'>Error in saem(f, transformations = "saemix"): unused argument (transformations = "saemix")</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in plot(f_saem): object 'f_saem' not found</span></div><div class='input'>
+<span class='va'>f_obs</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='st'>"DFOP-SFO"</span> <span class='op'>=</span> <span class='va'>dfop_sfo</span><span class='op'>)</span>, <span class='va'>ds</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"obs"</span><span class='op'>)</span>
+<span class='va'>f_nlmix</span> <span class='op'>&lt;-</span> <span class='fu'>nlmix</span><span class='op'>(</span><span class='va'>f_obs</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in nlmix(f_obs): could not find function "nlmix"</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_nlmix</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in plot(f_nlmix): object 'f_nlmix' not found</span></div><div class='input'>
 <span class='co'># We can overlay the two variants if we generate predictions</span>
 <span class='va'>pred_nlme</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinpredict.html'>mkinpredict</a></span><span class='op'>(</span><span class='va'>dfop_sfo</span>,
   <span class='va'>f_nlme</span><span class='op'>$</span><span class='va'>bparms.optim</span><span class='op'>[</span><span class='op'>-</span><span class='fl'>1</span><span class='op'>]</span>,
   <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='va'>f_nlme</span><span class='op'>$</span><span class='va'>bparms.optim</span><span class='op'>[[</span><span class='fl'>1</span><span class='op'>]</span><span class='op'>]</span>, A1 <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span>,
   <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span><span class='op'>(</span><span class='fl'>0</span>, <span class='fl'>180</span>, by <span class='op'>=</span> <span class='fl'>0.2</span><span class='op'>)</span><span class='op'>)</span>
 <span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem</span>, pred_over <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>nlme <span class='op'>=</span> <span class='va'>pred_nlme</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='img'><img src='plot.mixed.mmkin-4.png' alt='' width='700' height='433' /></div><div class='input'><span class='co'># }</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in plot(f_saem, pred_over = list(nlme = pred_nlme)): object 'f_saem' not found</span></div><div class='input'><span class='co'># }</span>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/dev/reference/plot.mkinfit-2.png b/docs/dev/reference/plot.mkinfit-2.png
index 376c812f..a11d1680 100644
--- a/docs/dev/reference/plot.mkinfit-2.png
+++ b/docs/dev/reference/plot.mkinfit-2.png
diff --git a/docs/dev/reference/plot.mkinfit-5.png b/docs/dev/reference/plot.mkinfit-5.png
index bc44de88..6631aa68 100644
--- a/docs/dev/reference/plot.mkinfit-5.png
+++ b/docs/dev/reference/plot.mkinfit-5.png
diff --git a/docs/dev/reference/plot.mkinfit-6.png b/docs/dev/reference/plot.mkinfit-6.png
index eb8cbd92..946b20c5 100644
--- a/docs/dev/reference/plot.mkinfit-6.png
+++ b/docs/dev/reference/plot.mkinfit-6.png
diff --git a/docs/dev/reference/plot.mkinfit-7.png b/docs/dev/reference/plot.mkinfit-7.png
index 92a664f4..10807ea8 100644
--- a/docs/dev/reference/plot.mkinfit-7.png
+++ b/docs/dev/reference/plot.mkinfit-7.png
diff --git a/docs/dev/reference/plot.mkinfit.html b/docs/dev/reference/plot.mkinfit.html
index c5bfb528..c5249ecd 100644
--- a/docs/dev/reference/plot.mkinfit.html
+++ b/docs/dev/reference/plot.mkinfit.html
@@ -74,7 +74,7 @@ observed data together with the solution of the fitted model." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
diff --git a/docs/dev/reference/plot.mmkin-1.png b/docs/dev/reference/plot.mmkin-1.png
index f12b7907..647dfb8a 100644
--- a/docs/dev/reference/plot.mmkin-1.png
+++ b/docs/dev/reference/plot.mmkin-1.png
diff --git a/docs/dev/reference/plot.mmkin-2.png b/docs/dev/reference/plot.mmkin-2.png
index e3127554..1bc1c9db 100644
--- a/docs/dev/reference/plot.mmkin-2.png
+++ b/docs/dev/reference/plot.mmkin-2.png
diff --git a/docs/dev/reference/plot.mmkin-3.png b/docs/dev/reference/plot.mmkin-3.png
index 5448976e..50d6ffac 100644
--- a/docs/dev/reference/plot.mmkin-3.png
+++ b/docs/dev/reference/plot.mmkin-3.png
diff --git a/docs/dev/reference/plot.mmkin-4.png b/docs/dev/reference/plot.mmkin-4.png
index 9a25fc50..e049fa16 100644
--- a/docs/dev/reference/plot.mmkin-4.png
+++ b/docs/dev/reference/plot.mmkin-4.png
diff --git a/docs/dev/reference/plot.mmkin-5.png b/docs/dev/reference/plot.mmkin-5.png
index 82b422b5..2421995b 100644
--- a/docs/dev/reference/plot.mmkin-5.png
+++ b/docs/dev/reference/plot.mmkin-5.png
diff --git a/docs/dev/reference/plot.mmkin.html b/docs/dev/reference/plot.mmkin.html
index ee80c6e4..9ca0df94 100644
--- a/docs/dev/reference/plot.mmkin.html
+++ b/docs/dev/reference/plot.mmkin.html
@@ -76,7 +76,7 @@ the fit of at least one model to the same dataset is shown." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
diff --git a/docs/dev/reference/plot.nafta.html b/docs/dev/reference/plot.nafta.html
index 9fc59f94..c24fba99 100644
--- a/docs/dev/reference/plot.nafta.html
+++ b/docs/dev/reference/plot.nafta.html
@@ -73,7 +73,7 @@ function (SFO, then IORE, then DFOP)." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ function (SFO, then IORE, then DFOP)." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/reference/reexports.html b/docs/dev/reference/reexports.html
index f12a2690..4fe5164b 100644
--- a/docs/dev/reference/reexports.html
+++ b/docs/dev/reference/reexports.html
@@ -45,7 +45,9 @@ below to see their documentation.
 
   lmtestlrtest
 
-  nlmenlme
+  nlmeintervals, nlme
+
+  nlmixrnlmixr
 
 " />
 
@@ -79,7 +81,7 @@ below to see their documentation.
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -128,7 +130,7 @@ below to see their documentation.
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -146,7 +148,7 @@ below to see their documentation.
   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>Objects exported from other packages</h1>
-    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/lrtest.mkinfit.R'><code>R/lrtest.mkinfit.R</code></a>, <a href='https://github.com/jranke/mkin/blob/master/R/nlme.mmkin.R'><code>R/nlme.mmkin.R</code></a></small>
+    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/intervals.R'><code>R/intervals.R</code></a>, <a href='https://github.com/jranke/mkin/blob/master/R/lrtest.mkinfit.R'><code>R/lrtest.mkinfit.R</code></a>, <a href='https://github.com/jranke/mkin/blob/master/R/nlme.mmkin.R'><code>R/nlme.mmkin.R</code></a>, and 1 more</small>
     <div class="hidden name"><code>reexports.Rd</code></div>
     </div>
 
@@ -156,7 +158,9 @@ below to see their documentation.</p>
 <dl>
   <dt>lmtest</dt><dd><p><code><a href='https://rdrr.io/pkg/lmtest/man/lrtest.html'>lrtest</a></code></p></dd>
 
-  <dt>nlme</dt><dd><p><code><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></code></p></dd>
+  <dt>nlme</dt><dd><p><code><a href='https://rdrr.io/pkg/nlme/man/intervals.html'>intervals</a></code>, <code><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></code></p></dd>
+
+  <dt>nlmixr</dt><dd><p><code><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></code></p></dd>
 
 </dl>
     </div>
diff --git a/docs/dev/reference/residuals.mkinfit.html b/docs/dev/reference/residuals.mkinfit.html
index 95114dae..3f518ab7 100644
--- a/docs/dev/reference/residuals.mkinfit.html
+++ b/docs/dev/reference/residuals.mkinfit.html
@@ -72,7 +72,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -121,7 +121,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -175,7 +175,7 @@ standard deviation obtained from the fitted error model?</p></td>
 </div><div class='output co'>#&gt; [1]  0.09726374 -0.13912142 -0.15351210  0.73388322 -0.08657004 -0.93204702
 #&gt; [7] -0.03269080  1.45347823 -0.88423697</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/stats/residuals.html'>residuals</a></span><span class='op'>(</span><span class='va'>f</span>, standardized <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; [1]  0.13969917 -0.19981904 -0.22048826  1.05407091 -0.12433989 -1.33869208
-#&gt; [7] -0.04695354  2.08761977 -1.27002287</div></pre>
+#&gt; [7] -0.04695355  2.08761977 -1.27002287</div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
     <nav id="toc" data-toggle="toc" class="sticky-top">
diff --git a/docs/dev/reference/saem-1.png b/docs/dev/reference/saem-1.png
index 2df248bb..0e87d741 100644
--- a/docs/dev/reference/saem-1.png
+++ b/docs/dev/reference/saem-1.png
diff --git a/docs/dev/reference/saem-2.png b/docs/dev/reference/saem-2.png
index d4a2c1be..456a4c58 100644
--- a/docs/dev/reference/saem-2.png
+++ b/docs/dev/reference/saem-2.png
diff --git a/docs/dev/reference/saem-3.png b/docs/dev/reference/saem-3.png
index 6a32cda1..27d43e53 100644
--- a/docs/dev/reference/saem-3.png
+++ b/docs/dev/reference/saem-3.png
diff --git a/docs/dev/reference/saem-4.png b/docs/dev/reference/saem-4.png
index bf24d6b0..5c089bbc 100644
--- a/docs/dev/reference/saem-4.png
+++ b/docs/dev/reference/saem-4.png
diff --git a/docs/dev/reference/saem-5.png b/docs/dev/reference/saem-5.png
index 6e6e0f91..d22e7285 100644
--- a/docs/dev/reference/saem-5.png
+++ b/docs/dev/reference/saem-5.png
diff --git a/docs/dev/reference/saem.html b/docs/dev/reference/saem.html
index 59589378..83a62359 100644
--- a/docs/dev/reference/saem.html
+++ b/docs/dev/reference/saem.html
@@ -74,7 +74,7 @@ Expectation Maximisation algorithm (SAEM)." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -158,9 +158,13 @@ Expectation Maximisation algorithm (SAEM).</p>
   <span class='va'>object</span>,
   transformations <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"mkin"</span>, <span class='st'>"saemix"</span><span class='op'>)</span>,
   degparms_start <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></span><span class='op'>(</span><span class='op'>)</span>,
+  test_log_parms <span class='op'>=</span> <span class='cn'>TRUE</span>,
+  conf.level <span class='op'>=</span> <span class='fl'>0.6</span>,
   solution_type <span class='op'>=</span> <span class='st'>"auto"</span>,
-  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>displayProgress <span class='op'>=</span> <span class='cn'>FALSE</span>, print <span class='op'>=</span> <span class='cn'>FALSE</span>, save <span class='op'>=</span> <span class='cn'>FALSE</span>, save.graphs <span class='op'>=</span>
-    <span class='cn'>FALSE</span><span class='op'>)</span>,
+  nbiter.saemix <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>300</span>, <span class='fl'>100</span><span class='op'>)</span>,
+  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>displayProgress <span class='op'>=</span> <span class='cn'>FALSE</span>, print <span class='op'>=</span> <span class='cn'>FALSE</span>, nbiter.saemix <span class='op'>=</span> <span class='va'>nbiter.saemix</span>,
+    save <span class='op'>=</span> <span class='cn'>FALSE</span>, save.graphs <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>,
+  fail_with_errors <span class='op'>=</span> <span class='cn'>TRUE</span>,
   verbose <span class='op'>=</span> <span class='cn'>FALSE</span>,
   quiet <span class='op'>=</span> <span class='cn'>FALSE</span>,
   <span class='va'>...</span>
@@ -174,6 +178,7 @@ Expectation Maximisation algorithm (SAEM).</p>
   solution_type <span class='op'>=</span> <span class='st'>"auto"</span>,
   transformations <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"mkin"</span>, <span class='st'>"saemix"</span><span class='op'>)</span>,
   degparms_start <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></span><span class='op'>(</span><span class='op'>)</span>,
+  test_log_parms <span class='op'>=</span> <span class='cn'>FALSE</span>,
   verbose <span class='op'>=</span> <span class='cn'>FALSE</span>,
   <span class='va'>...</span>
 <span class='op'>)</span>
@@ -206,13 +211,35 @@ SFO or DFOP is used for the parent and there is either no metabolite or one.</p>
 be used to override the starting values obtained from the 'mmkin' object.</p></td>
     </tr>
     <tr>
+      <th>test_log_parms</th>
+      <td><p>If TRUE, an attempt is made to use more robust starting
+values for population parameters fitted as log parameters in mkin (like
+rate constants) by only considering rate constants that pass the t-test
+when calculating mean degradation parameters using <a href='mean_degparms.html'>mean_degparms</a>.</p></td>
+    </tr>
+    <tr>
+      <th>conf.level</th>
+      <td><p>Possibility to adjust the required confidence level
+for parameter that are tested if requested by 'test_log_parms'.</p></td>
+    </tr>
+    <tr>
       <th>solution_type</th>
       <td><p>Possibility to specify the solution type in case the
 automatic choice is not desired</p></td>
     </tr>
     <tr>
+      <th>nbiter.saemix</th>
+      <td><p>Convenience option to increase the number of
+iterations</p></td>
+    </tr>
+    <tr>
       <th>control</th>
-      <td><p>Passed to <a href='https://rdrr.io/pkg/saemix/man/saemix.html'>saemix::saemix</a></p></td>
+      <td><p>Passed to <a href='https://rdrr.io/pkg/saemix/man/saemix.html'>saemix::saemix</a>.</p></td>
+    </tr>
+    <tr>
+      <th>fail_with_errors</th>
+      <td><p>Should a failure to compute standard errors
+from the inverse of the Fisher Information Matrix be a failure?</p></td>
     </tr>
     <tr>
       <th>verbose</th>
@@ -260,75 +287,29 @@ using <a href='mmkin.html'>mmkin</a>.</p>
 <span class='va'>f_mmkin_parent_p0_fixed</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='st'>"FOMC"</span>, <span class='va'>ds</span>,
   state.ini <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fl'>100</span><span class='op'>)</span>, fixed_initials <span class='op'>=</span> <span class='st'>"parent"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 <span class='va'>f_saem_p0_fixed</span> <span class='op'>&lt;-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent_p0_fixed</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Running main SAEM algorithm
-#&gt; [1] "Mon Jan 25 14:41:42 2021"
-#&gt; ....
-#&gt;     Minimisation finished
-#&gt; [1] "Mon Jan 25 14:41:43 2021"</div><div class='input'>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'>
 <span class='va'>f_mmkin_parent</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span><span class='op'>)</span>, <span class='va'>ds</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
 <span class='va'>f_saem_sfo</span> <span class='op'>&lt;-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"SFO"</span>, <span class='op'>]</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Running main SAEM algorithm
-#&gt; [1] "Mon Jan 25 14:41:45 2021"
-#&gt; ....
-#&gt;     Minimisation finished
-#&gt; [1] "Mon Jan 25 14:41:46 2021"</div><div class='input'><span class='va'>f_saem_fomc</span> <span class='op'>&lt;-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Running main SAEM algorithm
-#&gt; [1] "Mon Jan 25 14:41:47 2021"
-#&gt; ....
-#&gt;     Minimisation finished
-#&gt; [1] "Mon Jan 25 14:41:49 2021"</div><div class='input'><span class='va'>f_saem_dfop</span> <span class='op'>&lt;-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"DFOP"</span>, <span class='op'>]</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Running main SAEM algorithm
-#&gt; [1] "Mon Jan 25 14:41:49 2021"
-#&gt; ....
-#&gt;     Minimisation finished
-#&gt; [1] "Mon Jan 25 14:41:52 2021"</div><div class='input'>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><span class='va'>f_saem_fomc</span> <span class='op'>&lt;-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><span class='va'>f_saem_dfop</span> <span class='op'>&lt;-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"DFOP"</span>, <span class='op'>]</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'>
 <span class='co'># The returned saem.mmkin object contains an SaemixObject, therefore we can use</span>
 <span class='co'># functions from saemix</span>
 <span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'>saemix</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; <span class='message'>Package saemix, version 3.1.9000</span>
-#&gt; <span class='message'>  please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>compare.saemix</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='va'>f_saem_sfo</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_dfop</span><span class='op'>$</span><span class='va'>so</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in compare.saemix(list(f_saem_sfo$so, f_saem_fomc$so, f_saem_dfop$so)): 'compare.saemix' requires at least two models.</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"convergence"</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Plotting convergence plots</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"individual.fit"</span><span class='op'>)</span>
-</div><div class='img'><img src='saem-1.png' alt='' width='700' height='433' /></div><div class='output co'>#&gt; Plotting individual fits</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"npde"</span><span class='op'>)</span>
-</div><div class='img'><img src='saem-2.png' alt='' width='700' height='433' /></div><div class='output co'>#&gt; Simulating data using nsim = 1000 simulated datasets
-#&gt; Computing WRES and npde .
-#&gt; Plotting npde</div><div class='img'><img src='saem-3.png' alt='' width='700' height='433' /></div><div class='output co'>#&gt; ---------------------------------------------
-#&gt; Distribution of npde:
-#&gt;            mean= -0.01528   (SE= 0.098 )
-#&gt;        variance= 0.862   (SE= 0.13 )
-#&gt;        skewness= 0.5016 
-#&gt;        kurtosis= 1.18 
-#&gt; ---------------------------------------------
-#&gt; 
-#&gt; Statistical tests
-#&gt;   Wilcoxon signed rank test  : 0.679
-#&gt;   Fisher variance test       : 0.36
-#&gt;   SW test of normality       : 0.0855 .
-#&gt; Global adjusted p-value      : 0.257
-#&gt; ---
-#&gt; Signif. codes: '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 
-#&gt; ---------------------------------------------</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"vpc"</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Performing simulations under the model.
-#&gt; Plotting VPC
-#&gt; Method used for VPC: binning by quantiles on X , dividing into the following intervals
-#&gt;   Interval  Centered.On
-#&gt; 1 (-1,3]      1.3      
-#&gt; 2 (3,8]       7.4      
-#&gt; 3 (8,14]     13.2      
-#&gt; 4 (14,21]    20.5      
-#&gt; 5 (21,37.7]  29.5      
-#&gt; 6 (37.7,60]  50.4      
-#&gt; 7 (60,90]    76.6      
-#&gt; 8 (90,120]  109.0      
-#&gt; 9 (120,180] 156.0      </div><div class='img'><img src='saem-4.png' alt='' width='700' height='433' /></div><div class='input'>
+#&gt; <span class='message'>  please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span></div><div class='output co'>#&gt; <span class='message'></span>
+#&gt; <span class='message'>Attaching package: ‘saemix’</span></div><div class='output co'>#&gt; <span class='message'>The following object is masked from ‘package:RxODE’:</span>
+#&gt; <span class='message'></span>
+#&gt; <span class='message'>    phi</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>compare.saemix</a></span><span class='op'>(</span><span class='va'>f_saem_sfo</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_dfop</span><span class='op'>$</span><span class='va'>so</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in compare.saemix(f_saem_sfo$so, f_saem_fomc$so, f_saem_dfop$so): object 'f_saem_sfo' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"convergence"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"individual.fit"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"npde"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"vpc"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span></div><div class='input'>
 <span class='va'>f_mmkin_parent_tc</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/update.html'>update</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
 <span class='va'>f_saem_fomc_tc</span> <span class='op'>&lt;-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent_tc</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Running main SAEM algorithm
-#&gt; [1] "Mon Jan 25 14:41:55 2021"
-#&gt; ....
-#&gt;     Minimisation finished
-#&gt; [1] "Mon Jan 25 14:42:00 2021"</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>compare.saemix</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_fomc_tc</span><span class='op'>$</span><span class='va'>so</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in compare.saemix(list(f_saem_fomc$so, f_saem_fomc_tc$so)): 'compare.saemix' requires at least two models.</span></div><div class='input'>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>compare.saemix</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_fomc_tc</span><span class='op'>$</span><span class='va'>so</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in compare.saemix(f_saem_fomc$so, f_saem_fomc_tc$so): object 'f_saem_fomc' not found</span></div><div class='input'>
 <span class='va'>sfo_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"A1"</span><span class='op'>)</span>,
   A1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='va'>fomc_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"FOMC"</span>, <span class='st'>"A1"</span><span class='op'>)</span>,
@@ -345,314 +326,12 @@ using <a href='mmkin.html'>mmkin</a>.</p>
 <span class='co'># When using the analytical solutions written for mkin this took around</span>
 <span class='co'># four minutes</span>
 <span class='va'>f_saem_sfo_sfo</span> <span class='op'>&lt;-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>[</span><span class='st'>"SFO-SFO"</span>, <span class='op'>]</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Running main SAEM algorithm
-#&gt; [1] "Mon Jan 25 14:42:02 2021"
-#&gt; ....
-#&gt;     Minimisation finished
-#&gt; [1] "Mon Jan 25 14:42:07 2021"</div><div class='input'><span class='va'>f_saem_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Running main SAEM algorithm
-#&gt; [1] "Mon Jan 25 14:42:08 2021"
-#&gt; ....
-#&gt;     Minimisation finished
-#&gt; [1] "Mon Jan 25 14:42:17 2021"</div><div class='input'><span class='co'># We can use print, plot and summary methods to check the results</span>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><span class='va'>f_saem_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><span class='co'># We can use print, plot and summary methods to check the results</span>
 <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Kinetic nonlinear mixed-effects model fit by SAEM
-#&gt; Structural model:
-#&gt; d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
-#&gt;            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
-#&gt;            * parent
-#&gt; d_A1/dt = + f_parent_to_A1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
-#&gt;            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
-#&gt;            exp(-k2 * time))) * parent - k_A1 * A1
-#&gt; 
-#&gt; Data:
-#&gt; 170 observations of 2 variable(s) grouped in 5 datasets
-#&gt; 
-#&gt; Likelihood computed by importance sampling
-#&gt;     AIC   BIC logLik
-#&gt;   841.6 836.5 -407.8
-#&gt; 
-#&gt; Fitted parameters:
-#&gt;                     estimate    lower   upper
-#&gt; parent_0            93.76647 91.15312 96.3798
-#&gt; log_k_A1            -6.13235 -8.45788 -3.8068
-#&gt; f_parent_qlogis     -0.97364 -1.36940 -0.5779
-#&gt; log_k1              -2.53176 -3.80372 -1.2598
-#&gt; log_k2              -3.58667 -5.29524 -1.8781
-#&gt; g_qlogis             0.01238 -1.07968  1.1044
-#&gt; Var.parent_0         7.61106 -3.34955 18.5717
-#&gt; Var.log_k_A1         4.64679 -2.73133 12.0249
-#&gt; Var.f_parent_qlogis  0.19693 -0.05498  0.4488
-#&gt; Var.log_k1           2.01717 -0.51980  4.5542
-#&gt; Var.log_k2           3.63412 -0.92964  8.1979
-#&gt; Var.g_qlogis         0.20045 -0.97425  1.3751
-#&gt; a.1                  1.88335  1.66636  2.1004
-#&gt; SD.parent_0          2.75881  0.77234  4.7453
-#&gt; SD.log_k_A1          2.15564  0.44429  3.8670
-#&gt; SD.f_parent_qlogis   0.44377  0.15994  0.7276
-#&gt; SD.log_k1            1.42027  0.52714  2.3134
-#&gt; SD.log_k2            1.90634  0.70934  3.1033
-#&gt; SD.g_qlogis          0.44771 -0.86417  1.7596</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span><span class='op'>)</span>
-</div><div class='img'><img src='saem-5.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; saemix version used for fitting:      3.1.9000 
-#&gt; mkin version used for pre-fitting:  0.9.50.4 
-#&gt; R version used for fitting:         4.0.3 
-#&gt; Date of fit:     Mon Jan 25 14:42:18 2021 
-#&gt; Date of summary: Mon Jan 25 14:42:18 2021 
-#&gt; 
-#&gt; Equations:
-#&gt; d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
-#&gt;            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
-#&gt;            * parent
-#&gt; d_A1/dt = + f_parent_to_A1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
-#&gt;            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
-#&gt;            exp(-k2 * time))) * parent - k_A1 * A1
-#&gt; 
-#&gt; Data:
-#&gt; 170 observations of 2 variable(s) grouped in 5 datasets
-#&gt; 
-#&gt; Model predictions using solution type analytical 
-#&gt; 
-#&gt; Fitted in 9.954 s using 300, 100 iterations
-#&gt; 
-#&gt; Variance model: Constant variance 
-#&gt; 
-#&gt; Mean of starting values for individual parameters:
-#&gt;        parent_0        log_k_A1 f_parent_qlogis          log_k1          log_k2 
-#&gt;         93.8102         -9.7647         -0.9711         -1.8799         -4.2708 
-#&gt;        g_qlogis 
-#&gt;          0.1356 
-#&gt; 
-#&gt; Fixed degradation parameter values:
-#&gt; None
-#&gt; 
-#&gt; Results:
-#&gt; 
-#&gt; Likelihood computed by importance sampling
-#&gt;     AIC   BIC logLik
-#&gt;   841.6 836.5 -407.8
-#&gt; 
-#&gt; Optimised parameters:
-#&gt;                     est.  lower   upper
-#&gt; parent_0        93.76647 91.153 96.3798
-#&gt; log_k_A1        -6.13235 -8.458 -3.8068
-#&gt; f_parent_qlogis -0.97364 -1.369 -0.5779
-#&gt; log_k1          -2.53176 -3.804 -1.2598
-#&gt; log_k2          -3.58667 -5.295 -1.8781
-#&gt; g_qlogis         0.01238 -1.080  1.1044
-#&gt; 
-#&gt; Correlation: 
-#&gt;                 prnt_0 lg__A1 f_prn_ log_k1 log_k2
-#&gt; log_k_A1        -0.013                            
-#&gt; f_parent_qlogis -0.025  0.050                     
-#&gt; log_k1           0.030  0.000 -0.005              
-#&gt; log_k2           0.010  0.005 -0.003  0.032       
-#&gt; g_qlogis        -0.063 -0.015  0.010 -0.167 -0.177
-#&gt; 
-#&gt; Random effects:
-#&gt;                      est.   lower  upper
-#&gt; SD.parent_0        2.7588  0.7723 4.7453
-#&gt; SD.log_k_A1        2.1556  0.4443 3.8670
-#&gt; SD.f_parent_qlogis 0.4438  0.1599 0.7276
-#&gt; SD.log_k1          1.4203  0.5271 2.3134
-#&gt; SD.log_k2          1.9063  0.7093 3.1033
-#&gt; SD.g_qlogis        0.4477 -0.8642 1.7596
-#&gt; 
-#&gt; Variance model:
-#&gt;      est. lower upper
-#&gt; a.1 1.883 1.666   2.1
-#&gt; 
-#&gt; Backtransformed parameters:
-#&gt;                     est.     lower    upper
-#&gt; parent_0       93.766473 9.115e+01 96.37983
-#&gt; k_A1            0.002171 2.122e-04  0.02222
-#&gt; f_parent_to_A1  0.274156 2.027e-01  0.35942
-#&gt; k1              0.079519 2.229e-02  0.28371
-#&gt; k2              0.027691 5.015e-03  0.15288
-#&gt; g               0.503095 2.536e-01  0.75109
-#&gt; 
-#&gt; Resulting formation fractions:
-#&gt;                 ff
-#&gt; parent_A1   0.2742
-#&gt; parent_sink 0.7258
-#&gt; 
-#&gt; Estimated disappearance times:
-#&gt;          DT50    DT90 DT50back DT50_k1 DT50_k2
-#&gt; parent  14.11   59.53    17.92   8.717   25.03
-#&gt; A1     319.21 1060.38       NA      NA      NA
-#&gt; 
-#&gt; Data:
-#&gt;          ds   name time observed predicted residual   std standardized
-#&gt;   Dataset 6 parent    0     97.2  95.79523 -1.40477 1.883    -0.745888
-#&gt;   Dataset 6 parent    0     96.4  95.79523 -0.60477 1.883    -0.321114
-#&gt;   Dataset 6 parent    3     71.1  71.32042  0.22042 1.883     0.117035
-#&gt;   Dataset 6 parent    3     69.2  71.32042  2.12042 1.883     1.125873
-#&gt;   Dataset 6 parent    6     58.1  56.45256 -1.64744 1.883    -0.874739
-#&gt;   Dataset 6 parent    6     56.6  56.45256 -0.14744 1.883    -0.078288
-#&gt;   Dataset 6 parent   10     44.4  44.48523  0.08523 1.883     0.045256
-#&gt;   Dataset 6 parent   10     43.4  44.48523  1.08523 1.883     0.576224
-#&gt;   Dataset 6 parent   20     33.3  29.75774 -3.54226 1.883    -1.880826
-#&gt;   Dataset 6 parent   20     29.2  29.75774  0.55774 1.883     0.296141
-#&gt;   Dataset 6 parent   34     17.6  19.35710  1.75710 1.883     0.932966
-#&gt;   Dataset 6 parent   34     18.0  19.35710  1.35710 1.883     0.720578
-#&gt;   Dataset 6 parent   55     10.5  10.48443 -0.01557 1.883    -0.008266
-#&gt;   Dataset 6 parent   55      9.3  10.48443  1.18443 1.883     0.628895
-#&gt;   Dataset 6 parent   90      4.5   3.78622 -0.71378 1.883    -0.378995
-#&gt;   Dataset 6 parent   90      4.7   3.78622 -0.91378 1.883    -0.485188
-#&gt;   Dataset 6 parent  112      3.0   1.99608 -1.00392 1.883    -0.533048
-#&gt;   Dataset 6 parent  112      3.4   1.99608 -1.40392 1.883    -0.745435
-#&gt;   Dataset 6 parent  132      2.3   1.11539 -1.18461 1.883    -0.628990
-#&gt;   Dataset 6 parent  132      2.7   1.11539 -1.58461 1.883    -0.841377
-#&gt;   Dataset 6     A1    3      4.3   4.66132  0.36132 1.883     0.191849
-#&gt;   Dataset 6     A1    3      4.6   4.66132  0.06132 1.883     0.032559
-#&gt;   Dataset 6     A1    6      7.0   7.41087  0.41087 1.883     0.218157
-#&gt;   Dataset 6     A1    6      7.2   7.41087  0.21087 1.883     0.111964
-#&gt;   Dataset 6     A1   10      8.2   9.50878  1.30878 1.883     0.694921
-#&gt;   Dataset 6     A1   10      8.0   9.50878  1.50878 1.883     0.801114
-#&gt;   Dataset 6     A1   20     11.0  11.69902  0.69902 1.883     0.371157
-#&gt;   Dataset 6     A1   20     13.7  11.69902 -2.00098 1.883    -1.062455
-#&gt;   Dataset 6     A1   34     11.5  12.67784  1.17784 1.883     0.625396
-#&gt;   Dataset 6     A1   34     12.7  12.67784 -0.02216 1.883    -0.011765
-#&gt;   Dataset 6     A1   55     14.9  12.78556 -2.11444 1.883    -1.122701
-#&gt;   Dataset 6     A1   55     14.5  12.78556 -1.71444 1.883    -0.910314
-#&gt;   Dataset 6     A1   90     12.1  11.52954 -0.57046 1.883    -0.302898
-#&gt;   Dataset 6     A1   90     12.3  11.52954 -0.77046 1.883    -0.409092
-#&gt;   Dataset 6     A1  112      9.9  10.43825  0.53825 1.883     0.285793
-#&gt;   Dataset 6     A1  112     10.2  10.43825  0.23825 1.883     0.126503
-#&gt;   Dataset 6     A1  132      8.8   9.42830  0.62830 1.883     0.333609
-#&gt;   Dataset 6     A1  132      7.8   9.42830  1.62830 1.883     0.864577
-#&gt;   Dataset 7 parent    0     93.6  90.91477 -2.68523 1.883    -1.425772
-#&gt;   Dataset 7 parent    0     92.3  90.91477 -1.38523 1.883    -0.735514
-#&gt;   Dataset 7 parent    3     87.0  84.76874 -2.23126 1.883    -1.184726
-#&gt;   Dataset 7 parent    3     82.2  84.76874  2.56874 1.883     1.363919
-#&gt;   Dataset 7 parent    7     74.0  77.62735  3.62735 1.883     1.926003
-#&gt;   Dataset 7 parent    7     73.9  77.62735  3.72735 1.883     1.979100
-#&gt;   Dataset 7 parent   14     64.2  67.52266  3.32266 1.883     1.764224
-#&gt;   Dataset 7 parent   14     69.5  67.52266 -1.97734 1.883    -1.049904
-#&gt;   Dataset 7 parent   30     54.0  52.41949 -1.58051 1.883    -0.839202
-#&gt;   Dataset 7 parent   30     54.6  52.41949 -2.18051 1.883    -1.157783
-#&gt;   Dataset 7 parent   60     41.1  39.36582 -1.73418 1.883    -0.920794
-#&gt;   Dataset 7 parent   60     38.4  39.36582  0.96582 1.883     0.512818
-#&gt;   Dataset 7 parent   90     32.5  33.75388  1.25388 1.883     0.665771
-#&gt;   Dataset 7 parent   90     35.5  33.75388 -1.74612 1.883    -0.927132
-#&gt;   Dataset 7 parent  120     28.1  30.41716  2.31716 1.883     1.230335
-#&gt;   Dataset 7 parent  120     29.0  30.41716  1.41716 1.883     0.752464
-#&gt;   Dataset 7 parent  180     26.5  25.66046 -0.83954 1.883    -0.445767
-#&gt;   Dataset 7 parent  180     27.6  25.66046 -1.93954 1.883    -1.029832
-#&gt;   Dataset 7     A1    3      3.9   2.69355 -1.20645 1.883    -0.640585
-#&gt;   Dataset 7     A1    3      3.1   2.69355 -0.40645 1.883    -0.215811
-#&gt;   Dataset 7     A1    7      6.9   5.81807 -1.08193 1.883    -0.574470
-#&gt;   Dataset 7     A1    7      6.6   5.81807 -0.78193 1.883    -0.415180
-#&gt;   Dataset 7     A1   14     10.4  10.22529 -0.17471 1.883    -0.092767
-#&gt;   Dataset 7     A1   14      8.3  10.22529  1.92529 1.883     1.022265
-#&gt;   Dataset 7     A1   30     14.4  16.75484  2.35484 1.883     1.250345
-#&gt;   Dataset 7     A1   30     13.7  16.75484  3.05484 1.883     1.622022
-#&gt;   Dataset 7     A1   60     22.1  22.22540  0.12540 1.883     0.066583
-#&gt;   Dataset 7     A1   60     22.3  22.22540 -0.07460 1.883    -0.039610
-#&gt;   Dataset 7     A1   90     27.5  24.38799 -3.11201 1.883    -1.652376
-#&gt;   Dataset 7     A1   90     25.4  24.38799 -1.01201 1.883    -0.537344
-#&gt;   Dataset 7     A1  120     28.0  25.53294 -2.46706 1.883    -1.309927
-#&gt;   Dataset 7     A1  120     26.6  25.53294 -1.06706 1.883    -0.566572
-#&gt;   Dataset 7     A1  180     25.8  26.94943  1.14943 1.883     0.610309
-#&gt;   Dataset 7     A1  180     25.3  26.94943  1.64943 1.883     0.875793
-#&gt;   Dataset 8 parent    0     91.9  91.53246 -0.36754 1.883    -0.195151
-#&gt;   Dataset 8 parent    0     90.8  91.53246  0.73246 1.883     0.388914
-#&gt;   Dataset 8 parent    1     64.9  67.73197  2.83197 1.883     1.503686
-#&gt;   Dataset 8 parent    1     66.2  67.73197  1.53197 1.883     0.813428
-#&gt;   Dataset 8 parent    3     43.5  41.58448 -1.91552 1.883    -1.017081
-#&gt;   Dataset 8 parent    3     44.1  41.58448 -2.51552 1.883    -1.335661
-#&gt;   Dataset 8 parent    8     18.3  19.62286  1.32286 1.883     0.702395
-#&gt;   Dataset 8 parent    8     18.1  19.62286  1.52286 1.883     0.808589
-#&gt;   Dataset 8 parent   14     10.2  10.77819  0.57819 1.883     0.306999
-#&gt;   Dataset 8 parent   14     10.8  10.77819 -0.02181 1.883    -0.011582
-#&gt;   Dataset 8 parent   27      4.9   3.26977 -1.63023 1.883    -0.865599
-#&gt;   Dataset 8 parent   27      3.3   3.26977 -0.03023 1.883    -0.016051
-#&gt;   Dataset 8 parent   48      1.6   0.48024 -1.11976 1.883    -0.594557
-#&gt;   Dataset 8 parent   48      1.5   0.48024 -1.01976 1.883    -0.541460
-#&gt;   Dataset 8 parent   70      1.1   0.06438 -1.03562 1.883    -0.549881
-#&gt;   Dataset 8 parent   70      0.9   0.06438 -0.83562 1.883    -0.443688
-#&gt;   Dataset 8     A1    1      9.6   7.61539 -1.98461 1.883    -1.053761
-#&gt;   Dataset 8     A1    1      7.7   7.61539 -0.08461 1.883    -0.044923
-#&gt;   Dataset 8     A1    3     15.0  15.47954  0.47954 1.883     0.254622
-#&gt;   Dataset 8     A1    3     15.1  15.47954  0.37954 1.883     0.201525
-#&gt;   Dataset 8     A1    8     21.2  20.22616 -0.97384 1.883    -0.517076
-#&gt;   Dataset 8     A1    8     21.1  20.22616 -0.87384 1.883    -0.463979
-#&gt;   Dataset 8     A1   14     19.7  20.00067  0.30067 1.883     0.159645
-#&gt;   Dataset 8     A1   14     18.9  20.00067  1.10067 1.883     0.584419
-#&gt;   Dataset 8     A1   27     17.5  16.38142 -1.11858 1.883    -0.593929
-#&gt;   Dataset 8     A1   27     15.9  16.38142  0.48142 1.883     0.255619
-#&gt;   Dataset 8     A1   48      9.5  10.25357  0.75357 1.883     0.400123
-#&gt;   Dataset 8     A1   48      9.8  10.25357  0.45357 1.883     0.240833
-#&gt;   Dataset 8     A1   70      6.2   5.95728 -0.24272 1.883    -0.128878
-#&gt;   Dataset 8     A1   70      6.1   5.95728 -0.14272 1.883    -0.075781
-#&gt;   Dataset 9 parent    0     99.8  97.47274 -2.32726 1.883    -1.235697
-#&gt;   Dataset 9 parent    0     98.3  97.47274 -0.82726 1.883    -0.439246
-#&gt;   Dataset 9 parent    1     77.1  79.72257  2.62257 1.883     1.392500
-#&gt;   Dataset 9 parent    1     77.2  79.72257  2.52257 1.883     1.339404
-#&gt;   Dataset 9 parent    3     59.0  56.26497 -2.73503 1.883    -1.452212
-#&gt;   Dataset 9 parent    3     58.1  56.26497 -1.83503 1.883    -0.974342
-#&gt;   Dataset 9 parent    8     27.4  31.66985  4.26985 1.883     2.267151
-#&gt;   Dataset 9 parent    8     29.2  31.66985  2.46985 1.883     1.311410
-#&gt;   Dataset 9 parent   14     19.1  22.39789  3.29789 1.883     1.751071
-#&gt;   Dataset 9 parent   14     29.6  22.39789 -7.20211 1.883    -3.824090
-#&gt;   Dataset 9 parent   27     10.1  14.21758  4.11758 1.883     2.186301
-#&gt;   Dataset 9 parent   27     18.2  14.21758 -3.98242 1.883    -2.114537
-#&gt;   Dataset 9 parent   48      4.5   7.27921  2.77921 1.883     1.475671
-#&gt;   Dataset 9 parent   48      9.1   7.27921 -1.82079 1.883    -0.966780
-#&gt;   Dataset 9 parent   70      2.3   3.61470  1.31470 1.883     0.698065
-#&gt;   Dataset 9 parent   70      2.9   3.61470  0.71470 1.883     0.379485
-#&gt;   Dataset 9 parent   91      2.0   1.85303 -0.14697 1.883    -0.078038
-#&gt;   Dataset 9 parent   91      1.8   1.85303  0.05303 1.883     0.028155
-#&gt;   Dataset 9 parent  120      2.0   0.73645 -1.26355 1.883    -0.670906
-#&gt;   Dataset 9 parent  120      2.2   0.73645 -1.46355 1.883    -0.777099
-#&gt;   Dataset 9     A1    1      4.2   3.87843 -0.32157 1.883    -0.170743
-#&gt;   Dataset 9     A1    1      3.9   3.87843 -0.02157 1.883    -0.011453
-#&gt;   Dataset 9     A1    3      7.4   8.90535  1.50535 1.883     0.799291
-#&gt;   Dataset 9     A1    3      7.9   8.90535  1.00535 1.883     0.533807
-#&gt;   Dataset 9     A1    8     14.5  13.75172 -0.74828 1.883    -0.397312
-#&gt;   Dataset 9     A1    8     13.7  13.75172  0.05172 1.883     0.027462
-#&gt;   Dataset 9     A1   14     14.2  14.97541  0.77541 1.883     0.411715
-#&gt;   Dataset 9     A1   14     12.2  14.97541  2.77541 1.883     1.473650
-#&gt;   Dataset 9     A1   27     13.7  14.94728  1.24728 1.883     0.662266
-#&gt;   Dataset 9     A1   27     13.2  14.94728  1.74728 1.883     0.927750
-#&gt;   Dataset 9     A1   48     13.6  13.66078  0.06078 1.883     0.032272
-#&gt;   Dataset 9     A1   48     15.4  13.66078 -1.73922 1.883    -0.923470
-#&gt;   Dataset 9     A1   70     10.4  11.84899  1.44899 1.883     0.769365
-#&gt;   Dataset 9     A1   70     11.6  11.84899  0.24899 1.883     0.132204
-#&gt;   Dataset 9     A1   91     10.0  10.09177  0.09177 1.883     0.048727
-#&gt;   Dataset 9     A1   91      9.5  10.09177  0.59177 1.883     0.314211
-#&gt;   Dataset 9     A1  120      9.1   7.91379 -1.18621 1.883    -0.629841
-#&gt;   Dataset 9     A1  120      9.0   7.91379 -1.08621 1.883    -0.576745
-#&gt;  Dataset 10 parent    0     96.1  93.65257 -2.44743 1.883    -1.299505
-#&gt;  Dataset 10 parent    0     94.3  93.65257 -0.64743 1.883    -0.343763
-#&gt;  Dataset 10 parent    8     73.9  77.85906  3.95906 1.883     2.102132
-#&gt;  Dataset 10 parent    8     73.9  77.85906  3.95906 1.883     2.102132
-#&gt;  Dataset 10 parent   14     69.4  70.17143  0.77143 1.883     0.409606
-#&gt;  Dataset 10 parent   14     73.1  70.17143 -2.92857 1.883    -1.554974
-#&gt;  Dataset 10 parent   21     65.6  63.99188 -1.60812 1.883    -0.853862
-#&gt;  Dataset 10 parent   21     65.3  63.99188 -1.30812 1.883    -0.694572
-#&gt;  Dataset 10 parent   41     55.9  54.64292 -1.25708 1.883    -0.667467
-#&gt;  Dataset 10 parent   41     54.4  54.64292  0.24292 1.883     0.128985
-#&gt;  Dataset 10 parent   63     47.0  49.61303  2.61303 1.883     1.387433
-#&gt;  Dataset 10 parent   63     49.3  49.61303  0.31303 1.883     0.166207
-#&gt;  Dataset 10 parent   91     44.7  45.17807  0.47807 1.883     0.253839
-#&gt;  Dataset 10 parent   91     46.7  45.17807 -1.52193 1.883    -0.808096
-#&gt;  Dataset 10 parent  120     42.1  41.27970 -0.82030 1.883    -0.435552
-#&gt;  Dataset 10 parent  120     41.3  41.27970 -0.02030 1.883    -0.010778
-#&gt;  Dataset 10     A1    8      3.3   3.99294  0.69294 1.883     0.367929
-#&gt;  Dataset 10     A1    8      3.4   3.99294  0.59294 1.883     0.314832
-#&gt;  Dataset 10     A1   14      3.9   5.92756  2.02756 1.883     1.076570
-#&gt;  Dataset 10     A1   14      2.9   5.92756  3.02756 1.883     1.607538
-#&gt;  Dataset 10     A1   21      6.4   7.47313  1.07313 1.883     0.569799
-#&gt;  Dataset 10     A1   21      7.2   7.47313  0.27313 1.883     0.145025
-#&gt;  Dataset 10     A1   41      9.1   9.76819  0.66819 1.883     0.354786
-#&gt;  Dataset 10     A1   41      8.5   9.76819  1.26819 1.883     0.673367
-#&gt;  Dataset 10     A1   63     11.7  10.94733 -0.75267 1.883    -0.399643
-#&gt;  Dataset 10     A1   63     12.0  10.94733 -1.05267 1.883    -0.558933
-#&gt;  Dataset 10     A1   91     13.3  11.93773 -1.36227 1.883    -0.723321
-#&gt;  Dataset 10     A1   91     13.2  11.93773 -1.26227 1.883    -0.670224
-#&gt;  Dataset 10     A1  120     14.3  12.77666 -1.52334 1.883    -0.808847
-#&gt;  Dataset 10     A1  120     12.1  12.77666  0.67666 1.883     0.359282</div><div class='input'>
+</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'print': object 'f_saem_dfop_sfo' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_dfop_sfo' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'summary': object 'f_saem_dfop_sfo' not found</span></div><div class='input'>
 <span class='co'># The following takes about 6 minutes</span>
 <span class='co'>#f_saem_dfop_sfo_deSolve &lt;- saem(f_mmkin["DFOP-SFO", ], solution_type = "deSolve",</span>
 <span class='co'>#  control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))</span>
diff --git a/docs/dev/reference/schaefer07_complex_case-1.png b/docs/dev/reference/schaefer07_complex_case-1.png
index 16e657dd..96aab2dc 100644
--- a/docs/dev/reference/schaefer07_complex_case-1.png
+++ b/docs/dev/reference/schaefer07_complex_case-1.png
diff --git a/docs/dev/reference/schaefer07_complex_case.html b/docs/dev/reference/schaefer07_complex_case.html
index 83555b99..4ccad5c4 100644
--- a/docs/dev/reference/schaefer07_complex_case.html
+++ b/docs/dev/reference/schaefer07_complex_case.html
@@ -74,7 +74,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -123,7 +123,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -186,15 +186,15 @@
 </div><div class='img'><img src='schaefer07_complex_case-1.png' alt='' width='700' height='433' /></div><div class='input'>    <span class='fu'><a href='endpoints.html'>endpoints</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; $ff
 #&gt;   parent_A1   parent_B1   parent_C1 parent_sink       A1_A2     A1_sink 
-#&gt;   0.3809620   0.1954665   0.4235715   0.0000000   0.4479662   0.5520338 
+#&gt;   0.3809620   0.1954667   0.4235713   0.0000000   0.4479619   0.5520381 
 #&gt; 
 #&gt; $distimes
 #&gt;            DT50      DT90
 #&gt; parent 13.95078  46.34350
-#&gt; A1     49.75343 165.27731
-#&gt; B1     37.26912 123.80533
-#&gt; C1     11.23131  37.30959
-#&gt; A2     28.50569  94.69386
+#&gt; A1     49.75342 165.27728
+#&gt; B1     37.26908 123.80520
+#&gt; C1     11.23131  37.30961
+#&gt; A2     28.50624  94.69567
 #&gt; </div><div class='input'>  <span class='co'># }</span>
  <span class='co'># Compare with the results obtained in the original publication</span>
  <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>schaefer07_complex_results</span><span class='op'>)</span>
diff --git a/docs/dev/reference/sigma_twocomp-1.png b/docs/dev/reference/sigma_twocomp-1.png
index 21db3145..6e61684e 100644
--- a/docs/dev/reference/sigma_twocomp-1.png
+++ b/docs/dev/reference/sigma_twocomp-1.png
diff --git a/docs/dev/reference/sigma_twocomp.html b/docs/dev/reference/sigma_twocomp.html
index 8212e480..b7d295b2 100644
--- a/docs/dev/reference/sigma_twocomp.html
+++ b/docs/dev/reference/sigma_twocomp.html
@@ -73,7 +73,7 @@ dependence of the measured value \(y\):" />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@ dependence of the measured value \(y\):" />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -188,6 +188,10 @@ Additive, Multiplicative, and Mixed Analytical Errors. Clinical Chemistry
 24(11), 1895-1898.</p>
 <p>Rocke, David M. and Lorenzato, Stefan (1995) A two-component model for
 measurement error in analytical chemistry. Technometrics 37(2), 176-184.</p>
+<p>Ranke J and Meinecke S (2019) Error Models for the Kinetic Evaluation of Chemical
+Degradation Data. <em>Environments</em> 6(12) 124
+doi: <a href='https://doi.org/10.3390/environments6120124'>10.3390/environments6120124</a>
+.</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
     <pre class="examples"><div class='input'><span class='va'>times</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>3</span>, <span class='fl'>7</span>, <span class='fl'>14</span>, <span class='fl'>28</span>, <span class='fl'>60</span>, <span class='fl'>90</span>, <span class='fl'>120</span><span class='op'>)</span>
diff --git a/docs/dev/reference/summary.mkinfit.html b/docs/dev/reference/summary.mkinfit.html
index f314dfa8..494731e9 100644
--- a/docs/dev/reference/summary.mkinfit.html
+++ b/docs/dev/reference/summary.mkinfit.html
@@ -76,7 +76,7 @@ values." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ values." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -236,17 +236,17 @@ EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
     <pre class="examples"><div class='input'>
   <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>, <span class='va'>FOCUS_2006_A</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; mkin version used for fitting:    0.9.50.4 
+</div><div class='output co'>#&gt; mkin version used for fitting:    1.0.3.9000 
 #&gt; R version used for fitting:       4.0.3 
-#&gt; Date of fit:     Mon Nov 30 16:01:20 2020 
-#&gt; Date of summary: Mon Nov 30 16:01:20 2020 
+#&gt; Date of fit:     Mon Feb 15 17:13:09 2021 
+#&gt; Date of summary: Mon Feb 15 17:13:09 2021 
 #&gt; 
 #&gt; Equations:
 #&gt; d_parent/dt = - k_parent * parent
 #&gt; 
 #&gt; Model predictions using solution type analytical 
 #&gt; 
-#&gt; Fitted using 131 model solutions performed in 0.028 s
+#&gt; Fitted using 131 model solutions performed in 0.027 s
 #&gt; 
 #&gt; Error model: Constant variance 
 #&gt; 
diff --git a/docs/dev/reference/summary.nlme.mmkin.html b/docs/dev/reference/summary.nlme.mmkin.html
index 2aeadc46..b2f6624a 100644
--- a/docs/dev/reference/summary.nlme.mmkin.html
+++ b/docs/dev/reference/summary.nlme.mmkin.html
@@ -76,7 +76,7 @@ endpoints such as formation fractions and DT50 values. Optionally
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -125,7 +125,7 @@ endpoints such as formation fractions and DT50 values. Optionally
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -263,12 +263,12 @@ José Pinheiro and Douglas Bates for the components inherited from nlme</p>
 <span class='va'>f_mmkin</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='va'>ds_sfo_syn</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span>, cores <span class='op'>=</span> <span class='fl'>1</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; <span class='warning'>Warning: Optimisation did not converge:</span>
 #&gt; <span class='warning'>iteration limit reached without convergence (10)</span></div><div class='input'><span class='va'>f_nlme</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Iteration 1, LME step: nlminb() did not converge (code = 1). Do increase 'msMaxIter'!</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>f_nlme</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; nlme version used for fitting:      3.1.150.1 
-#&gt; mkin version used for pre-fitting:  0.9.50.4 
+</div><div class='output co'>#&gt; <span class='warning'>Warning: Iteration 4, LME step: nlminb() did not converge (code = 1). PORT message: false convergence (8)</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>f_nlme</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; nlme version used for fitting:      3.1.152 
+#&gt; mkin version used for pre-fitting:  1.0.3.9000 
 #&gt; R version used for fitting:         4.0.3 
-#&gt; Date of fit:     Mon Nov 30 16:01:23 2020 
-#&gt; Date of summary: Mon Nov 30 16:01:23 2020 
+#&gt; Date of fit:     Mon Feb 15 17:13:12 2021 
+#&gt; Date of summary: Mon Feb 15 17:13:12 2021 
 #&gt; 
 #&gt; Equations:
 #&gt; d_parent/dt = - k_parent * parent
@@ -278,148 +278,146 @@ José Pinheiro and Douglas Bates for the components inherited from nlme</p>
 #&gt; 
 #&gt; Model predictions using solution type analytical 
 #&gt; 
-#&gt; Fitted in 0.996 s using 6 iterations
+#&gt; Fitted in 0.544 s using 4 iterations
 #&gt; 
 #&gt; Variance model: Two-component variance function 
 #&gt; 
 #&gt; Mean of starting values for individual parameters:
 #&gt;     parent_0 log_k_parent 
-#&gt;   101.568773    -4.454103 
+#&gt;      101.569       -4.454 
 #&gt; 
 #&gt; Fixed degradation parameter values:
 #&gt; None
 #&gt; 
 #&gt; Results:
 #&gt; 
-#&gt;        AIC      BIC    logLik
-#&gt;   586.4159 603.9145 -286.2079
+#&gt;     AIC   BIC logLik
+#&gt;   584.5 599.5 -286.2
 #&gt; 
 #&gt; Optimised, transformed parameters with symmetric confidence intervals:
 #&gt;               lower    est.   upper
-#&gt; parent_0     99.360 101.593 103.825
-#&gt; log_k_parent -4.979  -4.451  -3.924
+#&gt; parent_0     99.371 101.592 103.814
+#&gt; log_k_parent -4.973  -4.449  -3.926
 #&gt; 
 #&gt; Correlation: 
 #&gt;              prnt_0
-#&gt; log_k_parent 0.155 
+#&gt; log_k_parent 0.051 
 #&gt; 
 #&gt; Random effects:
 #&gt;  Formula: list(parent_0 ~ 1, log_k_parent ~ 1)
 #&gt;  Level: ds
-#&gt;  Structure: General positive-definite, Log-Cholesky parametrization
-#&gt;              StdDev    Corr  
-#&gt; parent_0     0.2624248 prnt_0
-#&gt; log_k_parent 0.5907146 0.999 
-#&gt; Residual     1.0000000       
+#&gt;  Structure: Diagonal
+#&gt;          parent_0 log_k_parent Residual
+#&gt; StdDev: 6.924e-05       0.5863        1
 #&gt; 
 #&gt; Variance function:
 #&gt;  Structure: Constant plus proportion of variance covariate
 #&gt;  Formula: ~fitted(.) 
 #&gt;  Parameter estimates:
-#&gt;       const        prop 
-#&gt; 6.56706e-24 7.89583e-02 
+#&gt;        const         prop 
+#&gt; 0.0001208853 0.0789968036 
 #&gt; 
 #&gt; Backtransformed parameters with asymmetric confidence intervals:
 #&gt;              lower      est.     upper
-#&gt; parent_0 99.360213 101.59280 103.82539
-#&gt; k_parent  0.006883   0.01166   0.01976
+#&gt; parent_0 99.370882 101.59243 103.81398
+#&gt; k_parent  0.006923   0.01168   0.01972
 #&gt; 
 #&gt; Estimated disappearance times:
 #&gt;         DT50  DT90
-#&gt; parent 59.44 197.4
+#&gt; parent 59.32 197.1
 #&gt; 
 #&gt; Data:
 #&gt;    ds   name time observed predicted  residual    std standardized
-#&gt;  ds 1 parent    0    104.1   101.417   2.68283 8.0077     0.335030
-#&gt;  ds 1 parent    0    105.0   101.417   3.58283 8.0077     0.447422
-#&gt;  ds 1 parent    1     98.5   100.624  -2.12400 7.9451    -0.267334
-#&gt;  ds 1 parent    1     96.1   100.624  -4.52400 7.9451    -0.569407
-#&gt;  ds 1 parent    3    101.9    99.056   2.84379 7.8213     0.363595
-#&gt;  ds 1 parent    3     85.2    99.056 -13.85621 7.8213    -1.771597
-#&gt;  ds 1 parent    7     99.1    95.994   3.10646 7.5795     0.409850
-#&gt;  ds 1 parent    7     93.0    95.994  -2.99354 7.5795    -0.394953
-#&gt;  ds 1 parent   14     88.1    90.860  -2.75997 7.1741    -0.384710
-#&gt;  ds 1 parent   14     84.1    90.860  -6.75997 7.1741    -0.942268
-#&gt;  ds 1 parent   28     80.2    81.402  -1.20174 6.4273    -0.186973
-#&gt;  ds 1 parent   28     91.3    81.402   9.89826 6.4273     1.540024
-#&gt;  ds 1 parent   60     65.1    63.316   1.78361 4.9994     0.356767
-#&gt;  ds 1 parent   60     65.8    63.316   2.48361 4.9994     0.496785
-#&gt;  ds 1 parent   90     47.8    50.029  -2.22862 3.9502    -0.564182
-#&gt;  ds 1 parent   90     53.5    50.029   3.47138 3.9502     0.878792
-#&gt;  ds 1 parent  120     37.6    39.529  -1.92946 3.1212    -0.618182
-#&gt;  ds 1 parent  120     39.3    39.529  -0.22946 3.1212    -0.073516
-#&gt;  ds 2 parent    0    107.9   101.711   6.18875 8.0309     0.770613
-#&gt;  ds 2 parent    0    102.1   101.711   0.38875 8.0309     0.048406
-#&gt;  ds 2 parent    1    103.8   100.174   3.62597 7.9096     0.458428
-#&gt;  ds 2 parent    1    108.6   100.174   8.42597 7.9096     1.065287
-#&gt;  ds 2 parent    3     91.0    97.169  -6.16895 7.6723    -0.804055
-#&gt;  ds 2 parent    3     84.9    97.169 -12.26895 7.6723    -1.599124
-#&gt;  ds 2 parent    7     79.3    91.427 -12.12652 7.2189    -1.679833
-#&gt;  ds 2 parent    7    100.9    91.427   9.47348 7.2189     1.312320
-#&gt;  ds 2 parent   14     77.3    82.182  -4.88174 6.4889    -0.752318
-#&gt;  ds 2 parent   14     83.5    82.182   1.31826 6.4889     0.203155
-#&gt;  ds 2 parent   28     66.8    66.402   0.39792 5.2430     0.075895
-#&gt;  ds 2 parent   28     63.3    66.402  -3.10208 5.2430    -0.591662
-#&gt;  ds 2 parent   60     40.8    40.789   0.01138 3.2206     0.003532
-#&gt;  ds 2 parent   60     44.8    40.789   4.01138 3.2206     1.245537
-#&gt;  ds 2 parent   90     27.8    25.830   1.97002 2.0395     0.965937
-#&gt;  ds 2 parent   90     27.0    25.830   1.17002 2.0395     0.573682
-#&gt;  ds 2 parent  120     15.2    16.357  -1.15721 1.2915    -0.895991
-#&gt;  ds 2 parent  120     15.5    16.357  -0.85721 1.2915    -0.663710
-#&gt;  ds 3 parent    0     97.7   101.907  -4.20726 8.0464    -0.522873
-#&gt;  ds 3 parent    0     88.2   101.907 -13.70726 8.0464    -1.703521
-#&gt;  ds 3 parent    1    109.9    99.522  10.37805 7.8581     1.320685
-#&gt;  ds 3 parent    1     97.8    99.522  -1.72195 7.8581    -0.219130
-#&gt;  ds 3 parent    3    100.5    94.918   5.58248 7.4945     0.744875
-#&gt;  ds 3 parent    3     77.4    94.918 -17.51752 7.4945    -2.337375
-#&gt;  ds 3 parent    7     78.3    86.338  -8.03788 6.8171    -1.179077
-#&gt;  ds 3 parent    7     90.3    86.338   3.96212 6.8171     0.581204
-#&gt;  ds 3 parent   14     76.0    73.147   2.85281 5.7756     0.493944
-#&gt;  ds 3 parent   14     79.1    73.147   5.95281 5.7756     1.030687
-#&gt;  ds 3 parent   28     46.0    52.504  -6.50373 4.1456    -1.568826
-#&gt;  ds 3 parent   28     53.4    52.504   0.89627 4.1456     0.216197
-#&gt;  ds 3 parent   60     25.1    24.605   0.49461 1.9428     0.254586
-#&gt;  ds 3 parent   60     21.4    24.605  -3.20539 1.9428    -1.649882
-#&gt;  ds 3 parent   90     11.0    12.090  -1.09046 0.9546    -1.142271
-#&gt;  ds 3 parent   90     14.2    12.090   2.10954 0.9546     2.209770
-#&gt;  ds 3 parent  120      5.8     5.941  -0.14094 0.4691    -0.300464
-#&gt;  ds 3 parent  120      6.1     5.941   0.15906 0.4691     0.339077
-#&gt;  ds 4 parent    0     95.3   101.177  -5.87672 7.9887    -0.735625
-#&gt;  ds 4 parent    0    102.0   101.177   0.82328 7.9887     0.103056
-#&gt;  ds 4 parent    1    104.4   100.716   3.68438 7.9523     0.463307
-#&gt;  ds 4 parent    1    105.4   100.716   4.68438 7.9523     0.589057
-#&gt;  ds 4 parent    3    113.7    99.800  13.90026 7.8800     1.763989
-#&gt;  ds 4 parent    3     82.3    99.800 -17.49974 7.8800    -2.220774
-#&gt;  ds 4 parent    7     98.1    97.993   0.10713 7.7374     0.013846
-#&gt;  ds 4 parent    7     87.8    97.993 -10.19287 7.7374    -1.317359
-#&gt;  ds 4 parent   14     97.9    94.909   2.99079 7.4939     0.399098
-#&gt;  ds 4 parent   14    104.8    94.909   9.89079 7.4939     1.319851
-#&gt;  ds 4 parent   28     85.0    89.030  -4.02995 7.0297    -0.573279
-#&gt;  ds 4 parent   28     77.2    89.030 -11.82995 7.0297    -1.682864
-#&gt;  ds 4 parent   60     82.2    76.923   5.27690 6.0737     0.868808
-#&gt;  ds 4 parent   60     86.1    76.923   9.17690 6.0737     1.510919
-#&gt;  ds 4 parent   90     70.5    67.073   3.42743 5.2959     0.647182
-#&gt;  ds 4 parent   90     61.7    67.073  -5.37257 5.2959    -1.014470
-#&gt;  ds 4 parent  120     60.0    58.483   1.51654 4.6178     0.328416
-#&gt;  ds 4 parent  120     56.4    58.483  -2.08346 4.6178    -0.451184
-#&gt;  ds 5 parent    0     92.6   101.752  -9.15161 8.0341    -1.139091
-#&gt;  ds 5 parent    0    116.5   101.752  14.74839 8.0341     1.835716
-#&gt;  ds 5 parent    1    108.0   100.069   7.93112 7.9013     1.003778
-#&gt;  ds 5 parent    1    104.9   100.069   4.83112 7.9013     0.611436
-#&gt;  ds 5 parent    3    100.5    96.786   3.71355 7.6421     0.485934
-#&gt;  ds 5 parent    3     89.5    96.786  -7.28645 7.6421    -0.953462
-#&gt;  ds 5 parent    7     91.7    90.541   1.15895 7.1490     0.162114
-#&gt;  ds 5 parent    7     95.1    90.541   4.55895 7.1490     0.637707
-#&gt;  ds 5 parent   14     82.2    80.566   1.63437 6.3613     0.256923
-#&gt;  ds 5 parent   14     84.5    80.566   3.93437 6.3613     0.618483
-#&gt;  ds 5 parent   28     60.5    63.791  -3.29084 5.0368    -0.653357
-#&gt;  ds 5 parent   28     72.8    63.791   9.00916 5.0368     1.788662
-#&gt;  ds 5 parent   60     38.3    37.412   0.88840 2.9540     0.300748
-#&gt;  ds 5 parent   60     40.7    37.412   3.28840 2.9540     1.113217
-#&gt;  ds 5 parent   90     22.5    22.685  -0.18500 1.7912    -0.103287
-#&gt;  ds 5 parent   90     20.8    22.685  -1.88500 1.7912    -1.052387
-#&gt;  ds 5 parent  120     13.4    13.755  -0.35534 1.0861    -0.327173
-#&gt;  ds 5 parent  120     13.8    13.755   0.04466 1.0861     0.041118</div><div class='input'>
+#&gt;  ds 1 parent    0    104.1   101.592   2.50757 8.0255     0.312451
+#&gt;  ds 1 parent    0    105.0   101.592   3.40757 8.0255     0.424594
+#&gt;  ds 1 parent    1     98.5   100.796  -2.29571 7.9625    -0.288313
+#&gt;  ds 1 parent    1     96.1   100.796  -4.69571 7.9625    -0.589725
+#&gt;  ds 1 parent    3    101.9    99.221   2.67904 7.8381     0.341796
+#&gt;  ds 1 parent    3     85.2    99.221 -14.02096 7.8381    -1.788812
+#&gt;  ds 1 parent    7     99.1    96.145   2.95512 7.5951     0.389081
+#&gt;  ds 1 parent    7     93.0    96.145  -3.14488 7.5951    -0.414065
+#&gt;  ds 1 parent   14     88.1    90.989  -2.88944 7.1879    -0.401987
+#&gt;  ds 1 parent   14     84.1    90.989  -6.88944 7.1879    -0.958480
+#&gt;  ds 1 parent   28     80.2    81.493  -1.29305 6.4377    -0.200857
+#&gt;  ds 1 parent   28     91.3    81.493   9.80695 6.4377     1.523364
+#&gt;  ds 1 parent   60     65.1    63.344   1.75642 5.0039     0.351008
+#&gt;  ds 1 parent   60     65.8    63.344   2.45642 5.0039     0.490898
+#&gt;  ds 1 parent   90     47.8    50.018  -2.21764 3.9512    -0.561252
+#&gt;  ds 1 parent   90     53.5    50.018   3.48236 3.9512     0.881335
+#&gt;  ds 1 parent  120     37.6    39.495  -1.89515 3.1200    -0.607423
+#&gt;  ds 1 parent  120     39.3    39.495  -0.19515 3.1200    -0.062549
+#&gt;  ds 2 parent    0    107.9   101.592   6.30757 8.0255     0.785943
+#&gt;  ds 2 parent    0    102.1   101.592   0.50757 8.0255     0.063245
+#&gt;  ds 2 parent    1    103.8   100.058   3.74159 7.9043     0.473361
+#&gt;  ds 2 parent    1    108.6   100.058   8.54159 7.9043     1.080626
+#&gt;  ds 2 parent    3     91.0    97.060  -6.05952 7.6674    -0.790297
+#&gt;  ds 2 parent    3     84.9    97.060 -12.15952 7.6674    -1.585874
+#&gt;  ds 2 parent    7     79.3    91.329 -12.02867 7.2147    -1.667251
+#&gt;  ds 2 parent    7    100.9    91.329   9.57133 7.2147     1.326647
+#&gt;  ds 2 parent   14     77.3    82.102  -4.80185 6.4858    -0.740366
+#&gt;  ds 2 parent   14     83.5    82.102   1.39815 6.4858     0.215571
+#&gt;  ds 2 parent   28     66.8    66.351   0.44945 5.2415     0.085748
+#&gt;  ds 2 parent   28     63.3    66.351  -3.05055 5.2415    -0.582002
+#&gt;  ds 2 parent   60     40.8    40.775   0.02474 3.2211     0.007679
+#&gt;  ds 2 parent   60     44.8    40.775   4.02474 3.2211     1.249485
+#&gt;  ds 2 parent   90     27.8    25.832   1.96762 2.0407     0.964198
+#&gt;  ds 2 parent   90     27.0    25.832   1.16762 2.0407     0.572171
+#&gt;  ds 2 parent  120     15.2    16.366  -1.16561 1.2928    -0.901595
+#&gt;  ds 2 parent  120     15.5    16.366  -0.86561 1.2928    -0.669547
+#&gt;  ds 3 parent    0     97.7   101.592  -3.89243 8.0255    -0.485009
+#&gt;  ds 3 parent    0     88.2   101.592 -13.39243 8.0255    -1.668739
+#&gt;  ds 3 parent    1    109.9    99.218  10.68196 7.8379     1.362858
+#&gt;  ds 3 parent    1     97.8    99.218  -1.41804 7.8379    -0.180921
+#&gt;  ds 3 parent    3    100.5    94.634   5.86555 7.4758     0.784603
+#&gt;  ds 3 parent    3     77.4    94.634 -17.23445 7.4758    -2.305360
+#&gt;  ds 3 parent    7     78.3    86.093  -7.79273 6.8011    -1.145813
+#&gt;  ds 3 parent    7     90.3    86.093   4.20727 6.8011     0.618620
+#&gt;  ds 3 parent   14     76.0    72.958   3.04222 5.7634     0.527848
+#&gt;  ds 3 parent   14     79.1    72.958   6.14222 5.7634     1.065722
+#&gt;  ds 3 parent   28     46.0    52.394  -6.39404 4.1390    -1.544842
+#&gt;  ds 3 parent   28     53.4    52.394   1.00596 4.1390     0.243046
+#&gt;  ds 3 parent   60     25.1    24.582   0.51786 1.9419     0.266676
+#&gt;  ds 3 parent   60     21.4    24.582  -3.18214 1.9419    -1.638664
+#&gt;  ds 3 parent   90     11.0    12.092  -1.09202 0.9552    -1.143199
+#&gt;  ds 3 parent   90     14.2    12.092   2.10798 0.9552     2.206776
+#&gt;  ds 3 parent  120      5.8     5.948  -0.14810 0.4699    -0.315178
+#&gt;  ds 3 parent  120      6.1     5.948   0.15190 0.4699     0.323282
+#&gt;  ds 4 parent    0     95.3   101.592  -6.29243 8.0255    -0.784057
+#&gt;  ds 4 parent    0    102.0   101.592   0.40757 8.0255     0.050784
+#&gt;  ds 4 parent    1    104.4   101.125   3.27549 7.9885     0.410025
+#&gt;  ds 4 parent    1    105.4   101.125   4.27549 7.9885     0.535205
+#&gt;  ds 4 parent    3    113.7   100.195  13.50487 7.9151     1.706218
+#&gt;  ds 4 parent    3     82.3   100.195 -17.89513 7.9151    -2.260886
+#&gt;  ds 4 parent    7     98.1    98.362  -0.26190 7.7703    -0.033706
+#&gt;  ds 4 parent    7     87.8    98.362 -10.56190 7.7703    -1.359270
+#&gt;  ds 4 parent   14     97.9    95.234   2.66590 7.5232     0.354357
+#&gt;  ds 4 parent   14    104.8    95.234   9.56590 7.5232     1.271521
+#&gt;  ds 4 parent   28     85.0    89.274  -4.27372 7.0523    -0.606001
+#&gt;  ds 4 parent   28     77.2    89.274 -12.07372 7.0523    -1.712017
+#&gt;  ds 4 parent   60     82.2    77.013   5.18661 6.0838     0.852526
+#&gt;  ds 4 parent   60     86.1    77.013   9.08661 6.0838     1.493571
+#&gt;  ds 4 parent   90     70.5    67.053   3.44692 5.2970     0.650733
+#&gt;  ds 4 parent   90     61.7    67.053  -5.35308 5.2970    -1.010591
+#&gt;  ds 4 parent  120     60.0    58.381   1.61905 4.6119     0.351058
+#&gt;  ds 4 parent  120     56.4    58.381  -1.98095 4.6119    -0.429530
+#&gt;  ds 5 parent    0     92.6   101.592  -8.99243 8.0255    -1.120485
+#&gt;  ds 5 parent    0    116.5   101.592  14.90757 8.0255     1.857531
+#&gt;  ds 5 parent    1    108.0    99.914   8.08560 7.8929     1.024413
+#&gt;  ds 5 parent    1    104.9    99.914   4.98560 7.8929     0.631655
+#&gt;  ds 5 parent    3    100.5    96.641   3.85898 7.6343     0.505477
+#&gt;  ds 5 parent    3     89.5    96.641  -7.14102 7.6343    -0.935382
+#&gt;  ds 5 parent    7     91.7    90.412   1.28752 7.1423     0.180267
+#&gt;  ds 5 parent    7     95.1    90.412   4.68752 7.1423     0.656304
+#&gt;  ds 5 parent   14     82.2    80.463   1.73715 6.3563     0.273295
+#&gt;  ds 5 parent   14     84.5    80.463   4.03715 6.3563     0.635141
+#&gt;  ds 5 parent   28     60.5    63.728  -3.22788 5.0343    -0.641178
+#&gt;  ds 5 parent   28     72.8    63.728   9.07212 5.0343     1.802062
+#&gt;  ds 5 parent   60     38.3    37.399   0.90061 2.9544     0.304835
+#&gt;  ds 5 parent   60     40.7    37.399   3.30061 2.9544     1.117174
+#&gt;  ds 5 parent   90     22.5    22.692  -0.19165 1.7926    -0.106913
+#&gt;  ds 5 parent   90     20.8    22.692  -1.89165 1.7926    -1.055273
+#&gt;  ds 5 parent  120     13.4    13.768  -0.36790 1.0876    -0.338259
+#&gt;  ds 5 parent  120     13.8    13.768   0.03210 1.0876     0.029517</div><div class='input'>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/dev/reference/summary.nlmixr.mmkin.html b/docs/dev/reference/summary.nlmixr.mmkin.html
new file mode 100644
index 00000000..891e26ea
--- /dev/null
+++ b/docs/dev/reference/summary.nlmixr.mmkin.html
@@ -0,0 +1,1022 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+  <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Summary method for class "nlmixr.mmkin" — summary.nlmixr.mmkin • mkin</title>
+
+
+<!-- jquery -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
+<!-- Bootstrap -->
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
+
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
+
+<!-- bootstrap-toc -->
+<link rel="stylesheet" href="../bootstrap-toc.css">
+<script src="../bootstrap-toc.js"></script>
+
+<!-- Font Awesome icons -->
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
+
+<!-- clipboard.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
+
+<!-- headroom.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
+
+<!-- pkgdown -->
+<link href="../pkgdown.css" rel="stylesheet">
+<script src="../pkgdown.js"></script>
+
+
+
+
+<meta property="og:title" content="Summary method for class "nlmixr.mmkin" — summary.nlmixr.mmkin" />
+<meta property="og:description" content="Lists model equations, initial parameter values, optimised parameters
+for fixed effects (population), random effects (deviations from the
+population mean) and residual error model, as well as the resulting
+endpoints such as formation fractions and DT50 values. Optionally
+(default is FALSE), the data are listed in full." />
+
+
+<meta name="robots" content="noindex">
+
+<!-- mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
+
+<!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+
+
+
+  </head>
+
+  <body data-spy="scroll" data-target="#toc">
+    <div class="container template-reference-topic">
+      <header>
+      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../index.html">mkin</a>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+        <li>
+  <a href="../reference/index.html">Functions and data</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+    <li>
+      <a href="../articles/mkin.html">Introduction to mkin</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_D.html">Example evaluation of FOCUS Example Dataset D</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
+    </li>
+    <li>
+      <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
+    </li>
+  </ul>
+</li>
+<li>
+  <a href="../news/index.html">News</a>
+</li>
+      </ul>
+      <ul class="nav navbar-nav navbar-right">
+        <li>
+  <a href="https://github.com/jranke/mkin/">
+    <span class="fab fa-github fa-lg"></span>
+     
+  </a>
+</li>
+      </ul>
+      
+    </div><!--/.nav-collapse -->
+  </div><!--/.container -->
+</div><!--/.navbar -->
+
+      
+
+      </header>
+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Summary method for class "nlmixr.mmkin"</h1>
+    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/summary.nlmixr.mmkin.R'><code>R/summary.nlmixr.mmkin.R</code></a></small>
+    <div class="hidden name"><code>summary.nlmixr.mmkin.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    <p>Lists model equations, initial parameter values, optimised parameters
+for fixed effects (population), random effects (deviations from the
+population mean) and residual error model, as well as the resulting
+endpoints such as formation fractions and DT50 values. Optionally
+(default is FALSE), the data are listed in full.</p>
+    </div>
+
+    <pre class="usage"><span class='co'># S3 method for nlmixr.mmkin</span>
+<span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>object</span>, data <span class='op'>=</span> <span class='cn'>FALSE</span>, verbose <span class='op'>=</span> <span class='cn'>FALSE</span>, distimes <span class='op'>=</span> <span class='cn'>TRUE</span>, <span class='va'>...</span><span class='op'>)</span>
+
+<span class='co'># S3 method for summary.nlmixr.mmkin</span>
+<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>x</span>, digits <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Extremes.html'>max</a></span><span class='op'>(</span><span class='fl'>3</span>, <span class='fu'><a href='https://rdrr.io/r/base/options.html'>getOption</a></span><span class='op'>(</span><span class='st'>"digits"</span><span class='op'>)</span> <span class='op'>-</span> <span class='fl'>3</span><span class='op'>)</span>, verbose <span class='op'>=</span> <span class='va'>x</span><span class='op'>$</span><span class='va'>verbose</span>, <span class='va'>...</span><span class='op'>)</span></pre>
+
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>object</th>
+      <td><p>an object of class <a href='nlmixr.mmkin.html'>nlmixr.mmkin</a></p></td>
+    </tr>
+    <tr>
+      <th>data</th>
+      <td><p>logical, indicating whether the full data should be included in
+the summary.</p></td>
+    </tr>
+    <tr>
+      <th>verbose</th>
+      <td><p>Should the summary be verbose?</p></td>
+    </tr>
+    <tr>
+      <th>distimes</th>
+      <td><p>logical, indicating whether DT50 and DT90 values should be
+included.</p></td>
+    </tr>
+    <tr>
+      <th>...</th>
+      <td><p>optional arguments passed to methods like <code>print</code>.</p></td>
+    </tr>
+    <tr>
+      <th>x</th>
+      <td><p>an object of class summary.nlmixr.mmkin</p></td>
+    </tr>
+    <tr>
+      <th>digits</th>
+      <td><p>Number of digits to use for printing</p></td>
+    </tr>
+    </table>
+
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>The summary function returns a list obtained in the fit, with at
+least the following additional components</p>
+<dt>nlmixrversion, mkinversion, Rversion</dt><dd><p>The nlmixr, mkin and R versions used</p></dd>
+<dt>date.fit, date.summary</dt><dd><p>The dates where the fit and the summary were
+produced</p></dd>
+<dt>diffs</dt><dd><p>The differential equations used in the degradation model</p></dd>
+<dt>use_of_ff</dt><dd><p>Was maximum or minimum use made of formation fractions</p></dd>
+<dt>data</dt><dd><p>The data</p></dd>
+<dt>confint_back</dt><dd><p>Backtransformed parameters, with confidence intervals if available</p></dd>
+<dt>ff</dt><dd><p>The estimated formation fractions derived from the fitted
+model.</p></dd>
+<dt>distimes</dt><dd><p>The DT50 and DT90 values for each observed variable.</p></dd>
+<dt>SFORB</dt><dd><p>If applicable, eigenvalues of SFORB components of the model.</p></dd>
+The print method is called for its side effect, i.e. printing the summary.
+
+    <h2 class="hasAnchor" id="author"><a class="anchor" href="#author"></a>Author</h2>
+
+    <p>Johannes Ranke for the mkin specific parts
+nlmixr authors for the parts inherited from nlmixr.</p>
+
+    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
+    <pre class="examples"><div class='input'><span class='co'># Generate five datasets following DFOP-SFO kinetics</span>
+<span class='va'>sampling_times</span> <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>3</span>, <span class='fl'>7</span>, <span class='fl'>14</span>, <span class='fl'>28</span>, <span class='fl'>60</span>, <span class='fl'>90</span>, <span class='fl'>120</span><span class='op'>)</span>
+<span class='va'>dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"DFOP"</span>, <span class='st'>"m1"</span><span class='op'>)</span>,
+ m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='fu'><a href='https://rdrr.io/r/base/Random.html'>set.seed</a></span><span class='op'>(</span><span class='fl'>1234</span><span class='op'>)</span>
+<span class='va'>k1_in</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/Lognormal.html'>rlnorm</a></span><span class='op'>(</span><span class='fl'>5</span>, <span class='fu'><a href='https://rdrr.io/r/base/Log.html'>log</a></span><span class='op'>(</span><span class='fl'>0.1</span><span class='op'>)</span>, <span class='fl'>0.3</span><span class='op'>)</span>
+<span class='va'>k2_in</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/Lognormal.html'>rlnorm</a></span><span class='op'>(</span><span class='fl'>5</span>, <span class='fu'><a href='https://rdrr.io/r/base/Log.html'>log</a></span><span class='op'>(</span><span class='fl'>0.02</span><span class='op'>)</span>, <span class='fl'>0.3</span><span class='op'>)</span>
+<span class='va'>g_in</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/Logistic.html'>plogis</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/stats/Normal.html'>rnorm</a></span><span class='op'>(</span><span class='fl'>5</span>, <span class='fu'><a href='https://rdrr.io/r/stats/Logistic.html'>qlogis</a></span><span class='op'>(</span><span class='fl'>0.5</span><span class='op'>)</span>, <span class='fl'>0.3</span><span class='op'>)</span><span class='op'>)</span>
+<span class='va'>f_parent_to_m1_in</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/Logistic.html'>plogis</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/stats/Normal.html'>rnorm</a></span><span class='op'>(</span><span class='fl'>5</span>, <span class='fu'><a href='https://rdrr.io/r/stats/Logistic.html'>qlogis</a></span><span class='op'>(</span><span class='fl'>0.3</span><span class='op'>)</span>, <span class='fl'>0.3</span><span class='op'>)</span><span class='op'>)</span>
+<span class='va'>k_m1_in</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/Lognormal.html'>rlnorm</a></span><span class='op'>(</span><span class='fl'>5</span>, <span class='fu'><a href='https://rdrr.io/r/base/Log.html'>log</a></span><span class='op'>(</span><span class='fl'>0.02</span><span class='op'>)</span>, <span class='fl'>0.3</span><span class='op'>)</span>
+
+<span class='va'>pred_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='kw'>function</span><span class='op'>(</span><span class='va'>k1</span>, <span class='va'>k2</span>, <span class='va'>g</span>, <span class='va'>f_parent_to_m1</span>, <span class='va'>k_m1</span><span class='op'>)</span> <span class='op'>{</span>
+  <span class='fu'><a href='mkinpredict.html'>mkinpredict</a></span><span class='op'>(</span><span class='va'>dfop_sfo</span>,
+    <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>k1 <span class='op'>=</span> <span class='va'>k1</span>, k2 <span class='op'>=</span> <span class='va'>k2</span>, g <span class='op'>=</span> <span class='va'>g</span>, f_parent_to_m1 <span class='op'>=</span> <span class='va'>f_parent_to_m1</span>, k_m1 <span class='op'>=</span> <span class='va'>k_m1</span><span class='op'>)</span>,
+    <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fl'>100</span>, m1 <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span>,
+    <span class='va'>sampling_times</span><span class='op'>)</span>
+<span class='op'>}</span>
+
+<span class='va'>ds_mean_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span><span class='op'>(</span><span class='fl'>1</span><span class='op'>:</span><span class='fl'>5</span>, <span class='kw'>function</span><span class='op'>(</span><span class='va'>i</span><span class='op'>)</span> <span class='op'>{</span>
+  <span class='fu'><a href='mkinpredict.html'>mkinpredict</a></span><span class='op'>(</span><span class='va'>dfop_sfo</span>,
+    <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>k1 <span class='op'>=</span> <span class='va'>k1_in</span><span class='op'>[</span><span class='va'>i</span><span class='op'>]</span>, k2 <span class='op'>=</span> <span class='va'>k2_in</span><span class='op'>[</span><span class='va'>i</span><span class='op'>]</span>, g <span class='op'>=</span> <span class='va'>g_in</span><span class='op'>[</span><span class='va'>i</span><span class='op'>]</span>,
+      f_parent_to_m1 <span class='op'>=</span> <span class='va'>f_parent_to_m1_in</span><span class='op'>[</span><span class='va'>i</span><span class='op'>]</span>, k_m1 <span class='op'>=</span> <span class='va'>k_m1_in</span><span class='op'>[</span><span class='va'>i</span><span class='op'>]</span><span class='op'>)</span>,
+    <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fl'>100</span>, m1 <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span>,
+    <span class='va'>sampling_times</span><span class='op'>)</span>
+<span class='op'>}</span><span class='op'>)</span>
+<span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>ds_mean_dfop_sfo</span><span class='op'>)</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span><span class='op'>(</span><span class='st'>"ds"</span>, <span class='fl'>1</span><span class='op'>:</span><span class='fl'>5</span><span class='op'>)</span>
+
+<span class='va'>ds_syn_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span><span class='op'>(</span><span class='va'>ds_mean_dfop_sfo</span>, <span class='kw'>function</span><span class='op'>(</span><span class='va'>ds</span><span class='op'>)</span> <span class='op'>{</span>
+  <span class='fu'><a href='add_err.html'>add_err</a></span><span class='op'>(</span><span class='va'>ds</span>,
+    sdfunc <span class='op'>=</span> <span class='kw'>function</span><span class='op'>(</span><span class='va'>value</span><span class='op'>)</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>sqrt</a></span><span class='op'>(</span><span class='fl'>1</span><span class='op'>^</span><span class='fl'>2</span> <span class='op'>+</span> <span class='va'>value</span><span class='op'>^</span><span class='fl'>2</span> <span class='op'>*</span> <span class='fl'>0.07</span><span class='op'>^</span><span class='fl'>2</span><span class='op'>)</span>,
+    n <span class='op'>=</span> <span class='fl'>1</span><span class='op'>)</span><span class='op'>[[</span><span class='fl'>1</span><span class='op'>]</span><span class='op'>]</span>
+<span class='op'>}</span><span class='op'>)</span>
+
+<span class='co'># \dontrun{</span>
+<span class='co'># Evaluate using mmkin and nlmixr</span>
+<span class='va'>f_mmkin_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='va'>dfop_sfo</span><span class='op'>)</span>, <span class='va'>ds_syn_dfop_sfo</span>,
+  quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span>, cores <span class='op'>=</span> <span class='fl'>5</span><span class='op'>)</span>
+<span class='va'>f_saemix_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'>mkin</span><span class='fu'>::</span><span class='fu'><a href='saem.html'>saem</a></span><span class='op'>(</span><span class='va'>f_mmkin_dfop_sfo</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; Running main SAEM algorithm
+#&gt; [1] "Tue Oct  5 17:27:02 2021"
+#&gt; ....
+#&gt;     Minimisation finished
+#&gt; [1] "Tue Oct  5 17:27:13 2021"</div><div class='input'><span class='va'>f_nlme_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'>mkin</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_mmkin_dfop_sfo</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: Iteration 4, LME step: nlminb() did not converge (code = 1). PORT message: false convergence (8)</span></div><div class='output co'>#&gt; <span class='warning'>Warning: Iteration 6, LME step: nlminb() did not converge (code = 1). PORT message: false convergence (8)</span></div><div class='input'><span class='va'>f_nlmixr_dfop_sfo_saem</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_dfop_sfo</span>, est <span class='op'>=</span> <span class='st'>"saem"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'>With est = 'saem', a different error model is required for each observed variableChanging the error model to 'obs_tc' (Two-component error for each observed variable)</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'>→ generate SAEM model</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; 1:    1.0127e+02  -3.8515e+00  -2.0719e+00  -3.7271e+00  -1.9335e+00   4.0311e-01   6.9594e+00   1.5021e-01   5.3947e-01   1.9686e-01   3.7429e-01   5.4209e-01   8.4121e+00   7.3391e-02   7.1185e+00   2.5869e-01
+#&gt; 2:    1.0136e+02  -3.8005e+00  -2.3424e+00  -4.0759e+00  -1.6475e+00   1.1598e-01   6.6115e+00   1.4406e-01   5.1249e-01   1.8701e-01   3.5786e-01   5.1499e-01   4.9102e+00   6.2829e-02   4.7230e+00   7.8901e-02
+#&gt; 3:    1.0126e+02  -4.0285e+00  -2.3629e+00  -4.1271e+00  -1.1733e+00   1.7634e-02   6.2809e+00   1.6892e-01   4.8687e-01   1.7766e-01   3.3997e-01   4.8924e-01   3.2256e+00   6.6693e-02   3.3261e+00   8.7190e-02
+#&gt; 4:    1.0105e+02  -4.0894e+00  -2.5516e+00  -4.1037e+00  -1.0816e+00   4.5377e-02   5.9668e+00   1.6048e-01   4.6252e-01   1.6878e-01   3.2297e-01   4.6478e-01   2.4343e+00   7.0557e-02   2.2610e+00   9.2498e-02
+#&gt; 5:    1.0101e+02  -4.1364e+00  -2.4605e+00  -4.0737e+00  -1.0920e+00  -4.7953e-03   5.9593e+00   1.5245e-01   4.3940e-01   1.8078e-01   3.0682e-01   5.4688e-01   1.7424e+00   7.4776e-02   1.5144e+00   1.0787e-01
+#&gt; 6:    1.0042e+02  -4.0933e+00  -2.4472e+00  -4.1090e+00  -9.7996e-01  -9.0472e-02   6.0175e+00   1.4483e-01   4.1743e-01   1.8824e-01   2.9148e-01   5.3033e-01   1.5545e+00   6.8588e-02   1.3401e+00   9.8865e-02
+#&gt; 7:    1.0078e+02  -4.0911e+00  -2.4335e+00  -4.0758e+00  -9.9422e-01  -7.8849e-02   6.6318e+00   1.3759e-01   3.9656e-01   1.7882e-01   2.7691e-01   5.0381e-01   1.3780e+00   6.9978e-02   1.1346e+00   9.6162e-02
+#&gt; 8:    1.0077e+02  -4.0196e+00  -2.4345e+00  -4.0444e+00  -9.3483e-01  -1.1032e-01   6.3002e+00   1.3071e-01   3.7673e-01   1.6988e-01   2.6306e-01   4.8191e-01   1.1774e+00   7.4232e-02   1.0270e+00   9.5616e-02
+#&gt; 9:    1.0118e+02  -4.0436e+00  -2.4649e+00  -4.0207e+00  -8.9829e-01  -1.7784e-01   5.9852e+00   1.2417e-01   3.5789e-01   1.6139e-01   2.4991e-01   5.5466e-01   1.1040e+00   7.1515e-02   1.0342e+00   9.3972e-02
+#&gt; 10:    1.0143e+02  -4.0523e+00  -2.3737e+00  -4.0184e+00  -9.1167e-01  -2.3828e-01   5.8520e+00   1.1797e-01   3.4196e-01   1.5332e-01   2.3741e-01   5.2849e-01   1.0510e+00   7.5719e-02   1.0638e+00   9.3973e-02
+#&gt; 11:    1.0119e+02  -4.0699e+00  -2.3680e+00  -4.0191e+00  -9.4858e-01  -1.7310e-01   6.9958e+00   1.1207e-01   3.6891e-01   1.4565e-01   2.2554e-01   5.0206e-01   1.0247e+00   7.5497e-02   1.0292e+00   9.3707e-02
+#&gt; 12:    1.0121e+02  -4.0189e+00  -2.4198e+00  -4.0139e+00  -9.1693e-01  -2.0613e-01   6.6460e+00   1.0646e-01   3.5046e-01   1.3837e-01   2.1427e-01   5.7696e-01   1.1046e+00   7.6090e-02   9.3689e-01   9.4115e-02
+#&gt; 13:    1.0083e+02  -4.0451e+00  -2.4395e+00  -4.0235e+00  -9.4535e-01  -1.4723e-01   6.3137e+00   1.0114e-01   3.3294e-01   1.3145e-01   2.0355e-01   5.4811e-01   1.0360e+00   7.3381e-02   9.7078e-01   9.1659e-02
+#&gt; 14:    1.0056e+02  -4.0401e+00  -2.4045e+00  -4.0054e+00  -9.4191e-01  -1.3928e-01   5.9980e+00   9.6084e-02   3.4934e-01   1.2488e-01   1.9338e-01   5.2071e-01   1.0303e+00   7.7118e-02   8.8372e-01   9.0469e-02
+#&gt; 15:    1.0070e+02  -4.0388e+00  -2.4210e+00  -4.0113e+00  -9.1136e-01  -1.2702e-01   5.6981e+00   9.1279e-02   3.3187e-01   1.1864e-01   1.8371e-01   4.9467e-01   1.0486e+00   7.2427e-02   7.8179e-01   9.1572e-02
+#&gt; 16:    1.0078e+02  -4.0175e+00  -2.4766e+00  -4.0191e+00  -9.0733e-01  -1.1952e-01   5.4132e+00   8.6716e-02   3.1528e-01   1.1270e-01   1.7452e-01   4.8928e-01   9.7799e-01   8.1464e-02   8.2935e-01   8.6520e-02
+#&gt; 17:    1.0069e+02  -4.0533e+00  -2.5110e+00  -4.0294e+00  -9.1841e-01  -6.8363e-03   5.1426e+00   8.2380e-02   2.9952e-01   1.0707e-01   1.6580e-01   4.6482e-01   9.1609e-01   8.1008e-02   8.1783e-01   8.8818e-02
+#&gt; 18:    99.9647   -4.0672   -2.5327   -4.0416   -0.9273    0.0097    4.8854    0.0783    0.2970    0.1280    0.1941    0.5053    0.9306    0.0764    0.8097    0.0881
+#&gt; 19:    1.0027e+02  -4.0667e+00  -2.4653e+00  -4.0579e+00  -9.2776e-01   3.0417e-02   4.6412e+00   7.4348e-02   3.3694e-01   1.2164e-01   1.8435e-01   5.1797e-01   9.7386e-01   7.4954e-02   7.9297e-01   8.9915e-02
+#&gt; 20:    1.0006e+02  -4.0935e+00  -2.4804e+00  -4.0721e+00  -9.3737e-01   1.9496e-02   4.4091e+00   7.0630e-02   3.3728e-01   1.2544e-01   1.7513e-01   6.0925e-01   1.0232e+00   7.4618e-02   7.9988e-01   8.9642e-02
+#&gt; 21:    1.0043e+02  -4.0542e+00  -2.5168e+00  -4.0623e+00  -9.1553e-01   3.9474e-02   4.1887e+00   6.7099e-02   3.4553e-01   1.1917e-01   1.6638e-01   6.0827e-01   1.0155e+00   8.0771e-02   7.8424e-01   8.6213e-02
+#&gt; 22:    1.0049e+02  -4.0449e+00  -2.5082e+00  -4.0849e+00  -9.2553e-01   4.5424e-02   3.9792e+00   6.3744e-02   3.2825e-01   1.2365e-01   1.5806e-01   5.8922e-01   8.2860e-01   8.3384e-02   8.2525e-01   8.9218e-02
+#&gt; 23:    1.0067e+02  -4.0411e+00  -2.5460e+00  -4.0736e+00  -9.2578e-01   5.2422e-02   3.7803e+00   6.0557e-02   3.1661e-01   1.2306e-01   1.5016e-01   5.8274e-01   9.3412e-01   8.0508e-02   8.1829e-01   8.6377e-02
+#&gt; 24:    1.0091e+02  -4.0314e+00  -2.5298e+00  -4.0566e+00  -8.9743e-01   3.7634e-02   3.5913e+00   5.7529e-02   3.5267e-01   1.2194e-01   1.4265e-01   5.5360e-01   9.6271e-01   7.6960e-02   8.8466e-01   8.5693e-02
+#&gt; 25:    1.0100e+02  -4.0442e+00  -2.5399e+00  -4.0568e+00  -8.9494e-01   1.7415e-02   3.4117e+00   5.4652e-02   3.3504e-01   1.2781e-01   1.3552e-01   5.2592e-01   9.6040e-01   7.7299e-02   8.9561e-01   8.6893e-02
+#&gt; 26:    1.0111e+02  -4.0354e+00  -2.5182e+00  -4.0899e+00  -9.0799e-01   7.6464e-02   4.8614e+00   5.1920e-02   3.1829e-01   1.2142e-01   1.3110e-01   4.9963e-01   9.6997e-01   7.4932e-02   8.2521e-01   9.3659e-02
+#&gt; 27:    1.0159e+02  -4.0653e+00  -2.4934e+00  -4.0803e+00  -9.5632e-01   2.8659e-03   4.6184e+00   4.9324e-02   3.0237e-01   1.1535e-01   1.4743e-01   4.7465e-01   9.4314e-01   7.7860e-02   8.9820e-01   8.8210e-02
+#&gt; 28:    1.0154e+02  -4.0487e+00  -2.4844e+00  -4.0511e+00  -9.6473e-01  -4.7382e-02   4.3874e+00   4.6858e-02   3.2049e-01   1.0958e-01   1.5243e-01   4.5091e-01   9.8808e-01   7.4786e-02   8.6833e-01   8.8720e-02
+#&gt; 29:    1.0144e+02  -4.0414e+00  -2.4105e+00  -4.0504e+00  -9.4039e-01  -3.6753e-02   4.1681e+00   4.4515e-02   3.2754e-01   1.0410e-01   1.4940e-01   4.2837e-01   9.5520e-01   7.8507e-02   8.2408e-01   8.5998e-02
+#&gt; 30:    1.0137e+02  -4.0292e+00  -2.4174e+00  -4.0382e+00  -9.3180e-01  -7.1482e-02   5.4636e+00   4.2289e-02   3.2074e-01   9.8896e-02   1.6877e-01   4.0695e-01   8.8153e-01   7.5106e-02   8.5239e-01   8.8266e-02
+#&gt; 31:    1.0105e+02  -4.0387e+00  -2.4368e+00  -4.0346e+00  -9.1098e-01  -5.4730e-02   5.1904e+00   4.0175e-02   3.0470e-01   9.3951e-02   1.6034e-01   3.8660e-01   8.7853e-01   8.0278e-02   8.7981e-01   8.6404e-02
+#&gt; 32:    1.0147e+02  -4.0435e+00  -2.4530e+00  -4.0365e+00  -9.1241e-01  -7.1281e-02   4.9309e+00   3.8166e-02   2.8947e-01   9.4694e-02   1.7475e-01   3.6727e-01   8.7005e-01   8.1398e-02   8.7784e-01   8.8976e-02
+#&gt; 33:    1.0144e+02  -4.0092e+00  -2.4279e+00  -4.0090e+00  -8.8656e-01  -1.4017e-01   5.2945e+00   3.6258e-02   2.9770e-01   1.0169e-01   1.6601e-01   3.4891e-01   9.2202e-01   7.8841e-02   8.7551e-01   8.4011e-02
+#&gt; 34:    1.0157e+02  -3.9839e+00  -2.4469e+00  -4.0180e+00  -8.3877e-01  -1.4664e-01   6.3506e+00   3.4445e-02   2.8282e-01   1.0831e-01   1.6850e-01   3.3146e-01   8.4403e-01   7.9056e-02   8.4620e-01   8.6363e-02
+#&gt; 35:    1.0149e+02  -3.9928e+00  -2.4771e+00  -4.0106e+00  -8.6974e-01  -1.4219e-01   6.2039e+00   3.2722e-02   2.8123e-01   1.1283e-01   1.6008e-01   3.1489e-01   9.1308e-01   7.8685e-02   7.8939e-01   8.7289e-02
+#&gt; 36:    1.0162e+02  -4.0099e+00  -2.4822e+00  -3.9880e+00  -8.7959e-01  -1.3237e-01   5.8937e+00   3.1086e-02   3.2200e-01   1.0719e-01   1.6077e-01   2.9914e-01   9.0821e-01   8.4066e-02   7.5559e-01   8.4838e-02
+#&gt; 37:    1.0102e+02  -3.9962e+00  -2.4852e+00  -3.9954e+00  -8.8307e-01  -9.2070e-02   5.5991e+00   2.9532e-02   3.3713e-01   1.0183e-01   1.5333e-01   2.8419e-01   8.3918e-01   8.5231e-02   7.6007e-01   8.9541e-02
+#&gt; 38:    1.0102e+02  -3.9987e+00  -2.5129e+00  -3.9833e+00  -8.7454e-01  -1.6469e-01   5.3191e+00   2.8055e-02   3.2027e-01   1.0792e-01   1.4707e-01   2.6998e-01   9.1490e-01   8.4715e-02   7.6778e-01   8.9241e-02
+#&gt; 39:    1.0054e+02  -3.9875e+00  -2.4301e+00  -3.9797e+00  -8.7222e-01  -1.9597e-01   7.3800e+00   2.6653e-02   3.0426e-01   1.0801e-01   1.4393e-01   2.5648e-01   9.5901e-01   7.8320e-02   8.1559e-01   9.2429e-02
+#&gt; 40:    1.0077e+02  -4.0057e+00  -2.4630e+00  -3.9849e+00  -8.6788e-01  -1.9606e-01   7.0110e+00   2.5320e-02   3.0385e-01   1.3164e-01   1.4567e-01   3.0284e-01   9.7123e-01   7.6328e-02   8.3681e-01   8.9349e-02
+#&gt; 41:    1.0069e+02  -4.0143e+00  -2.3805e+00  -3.9962e+00  -8.7503e-01  -1.8532e-01   6.6604e+00   2.4054e-02   3.0707e-01   1.4668e-01   1.5021e-01   3.0404e-01   1.0072e+00   7.3629e-02   9.4494e-01   8.4745e-02
+#&gt; 42:    1.0073e+02  -3.9861e+00  -2.4464e+00  -3.9919e+00  -8.7912e-01  -1.8435e-01   6.3274e+00   2.2851e-02   2.9171e-01   1.3935e-01   1.5080e-01   2.8883e-01   9.6502e-01   7.7470e-02   9.4221e-01   8.2459e-02
+#&gt; 43:    1.0104e+02  -3.9881e+00  -2.4156e+00  -3.9688e+00  -8.9448e-01  -2.3739e-01   6.0110e+00   2.1709e-02   2.7713e-01   1.3238e-01   1.5603e-01   2.7439e-01   9.7714e-01   7.1720e-02   8.5890e-01   8.6635e-02
+#&gt; 44:    1.0084e+02  -4.0117e+00  -2.4455e+00  -3.9753e+00  -8.8716e-01  -2.0112e-01   5.7105e+00   2.0623e-02   2.6327e-01   1.2741e-01   1.5200e-01   2.6067e-01   9.3289e-01   8.0543e-02   8.5055e-01   8.2921e-02
+#&gt; 45:    1.0071e+02  -3.9996e+00  -2.4359e+00  -3.9764e+00  -9.1082e-01  -2.4578e-01   5.4250e+00   1.9592e-02   2.5011e-01   1.3254e-01   1.6132e-01   2.8273e-01   9.5805e-01   7.7734e-02   7.8171e-01   8.4571e-02
+#&gt; 46:    1.0018e+02  -4.0077e+00  -2.4835e+00  -3.9739e+00  -8.6079e-01  -1.6592e-01   5.1537e+00   1.8613e-02   2.3760e-01   1.3830e-01   1.5392e-01   3.0295e-01   1.0931e+00   7.3274e-02   8.9544e-01   8.8388e-02
+#&gt; 47:    99.9834   -3.9991   -2.5292   -3.9863   -0.8820   -0.0796    4.8960    0.0177    0.2348    0.1376    0.1639    0.2878    0.9864    0.0837    0.9094    0.0832
+#&gt; 48:    99.9155   -4.0224   -2.5422   -3.9854   -0.8719   -0.0750    4.6512    0.0184    0.2251    0.1307    0.1596    0.2734    0.9841    0.0835    0.8696    0.0843
+#&gt; 49:    99.6136   -4.0397   -2.5172   -4.0115   -0.8774   -0.0922    5.2402    0.0175    0.2558    0.1242    0.1551    0.2597    0.9060    0.0816    0.8365    0.0869
+#&gt; 50:    99.4747   -4.0542   -2.4192   -3.9834   -0.9041   -0.1798    4.9782    0.0219    0.2695    0.1234    0.1474    0.2468    0.9269    0.0783    0.8593    0.0854
+#&gt; 51:    99.3401   -4.0386   -2.3951   -3.9661   -0.9181   -0.1887    4.7574    0.0213    0.2746    0.1522    0.1400    0.2344    0.9901    0.0781    0.8863    0.0928
+#&gt; 52:    99.7109   -4.0509   -2.4227   -3.9770   -0.9247   -0.1431    4.9004    0.0203    0.2688    0.1446    0.1330    0.2227    0.8999    0.0791    1.0265    0.0890
+#&gt; 53:    99.6496   -4.0397   -2.4398   -3.9752   -0.9193   -0.2119    5.1106    0.0193    0.2795    0.1527    0.1325    0.2116    0.8949    0.0788    0.9447    0.0872
+#&gt; 54:    99.9071   -4.0211   -2.3887   -3.9812   -0.9233   -0.1946    5.0887    0.0183    0.2763    0.1450    0.1365    0.2010    0.8793    0.0875    0.8643    0.0903
+#&gt; 55:    1.0012e+02  -4.0401e+00  -2.4203e+00  -3.9511e+00  -9.0712e-01  -2.5566e-01   5.7301e+00   1.7375e-02   2.7324e-01   1.3780e-01   1.6204e-01   1.9094e-01   9.7803e-01   7.6146e-02   9.0756e-01   8.7636e-02
+#&gt; 56:    1.0032e+02  -4.0207e+00  -2.4263e+00  -3.9533e+00  -8.7574e-01  -2.3076e-01   6.5321e+00   1.6507e-02   3.0821e-01   1.3091e-01   1.5394e-01   1.8139e-01   8.8520e-01   7.6350e-02   9.2796e-01   8.5283e-02
+#&gt; 57:    1.0028e+02  -4.0037e+00  -2.4301e+00  -3.9655e+00  -8.8472e-01  -1.8969e-01   9.8969e+00   1.5681e-02   2.9280e-01   1.2436e-01   1.4624e-01   1.7232e-01   9.2902e-01   7.4974e-02   8.9204e-01   8.4563e-02
+#&gt; 58:    1.0048e+02  -3.9928e+00  -2.4961e+00  -3.9709e+00  -9.0263e-01  -1.4516e-01   9.4021e+00   1.6151e-02   2.7816e-01   1.1814e-01   1.4165e-01   1.6370e-01   9.5145e-01   8.0233e-02   8.2896e-01   8.3498e-02
+#&gt; 59:    1.0060e+02  -4.0181e+00  -2.4963e+00  -3.9751e+00  -9.0684e-01  -1.1186e-01   8.9320e+00   1.9914e-02   3.0097e-01   1.1224e-01   1.4109e-01   1.5552e-01   9.9121e-01   7.3120e-02   8.6454e-01   8.2239e-02
+#&gt; 60:    1.0047e+02  -3.9976e+00  -2.4797e+00  -3.9780e+00  -8.9328e-01  -1.0814e-01   8.4854e+00   1.8918e-02   3.2275e-01   1.1591e-01   1.3404e-01   1.4774e-01   9.6968e-01   7.4984e-02   8.9831e-01   8.1655e-02
+#&gt; 61:    1.0040e+02  -4.0068e+00  -2.5217e+00  -3.9844e+00  -8.6447e-01  -1.0567e-01   8.0611e+00   1.7972e-02   3.1372e-01   1.1011e-01   1.2973e-01   1.4036e-01   9.1698e-01   7.8118e-02   9.1811e-01   8.4420e-02
+#&gt; 62:    1.0076e+02  -4.0080e+00  -2.4931e+00  -3.9623e+00  -8.9789e-01  -8.3896e-02   7.6580e+00   1.7073e-02   3.0460e-01   1.1254e-01   1.2324e-01   1.3334e-01   9.9032e-01   7.7618e-02   8.3808e-01   8.5031e-02
+#&gt; 63:    1.0064e+02  -4.0129e+00  -2.4731e+00  -3.9561e+00  -8.9103e-01  -8.8987e-02   7.2751e+00   1.6220e-02   2.8944e-01   1.1647e-01   1.4845e-01   1.2667e-01   1.0745e+00   7.6375e-02   8.4316e-01   8.6681e-02
+#&gt; 64:    1.0098e+02  -4.0094e+00  -2.4541e+00  -3.9604e+00  -9.1524e-01  -9.3413e-02   6.9114e+00   1.5409e-02   2.7497e-01   1.2065e-01   1.7095e-01   1.2034e-01   1.0963e+00   7.8304e-02   8.7104e-01   8.5727e-02
+#&gt; 65:    1.0070e+02  -4.0433e+00  -2.4793e+00  -3.9722e+00  -9.3012e-01  -6.5917e-02   6.5658e+00   1.4638e-02   2.7040e-01   1.1462e-01   1.9067e-01   1.1432e-01   9.7444e-01   8.4510e-02   8.7028e-01   8.6292e-02
+#&gt; 66:    1.0049e+02  -4.0656e+00  -2.4659e+00  -3.9898e+00  -9.4278e-01  -7.5929e-02   6.2375e+00   1.3906e-02   2.9347e-01   1.1997e-01   1.8114e-01   1.0860e-01   9.9830e-01   8.0902e-02   9.3551e-01   8.5261e-02
+#&gt; 67:    1.0046e+02  -4.0477e+00  -2.4685e+00  -3.9907e+00  -9.1503e-01  -9.8019e-02   5.9256e+00   1.3211e-02   3.2166e-01   1.1506e-01   1.7208e-01   1.0317e-01   8.6453e-01   9.0533e-02   8.3598e-01   8.6343e-02
+#&gt; 68:    1.0077e+02  -4.0575e+00  -2.4709e+00  -3.9523e+00  -9.2903e-01  -8.1099e-02   5.6294e+00   1.2818e-02   3.1005e-01   1.3665e-01   1.6347e-01   9.8015e-02   9.0181e-01   8.7058e-02   8.4937e-01   8.3248e-02
+#&gt; 69:    1.0086e+02  -4.0626e+00  -2.3922e+00  -3.9557e+00  -9.6741e-01  -3.5986e-02   5.3479e+00   1.2844e-02   3.3024e-01   1.2982e-01   1.5530e-01   9.3115e-02   9.8180e-01   8.3132e-02   8.6549e-01   8.8939e-02
+#&gt; 70:    1.0082e+02  -4.0640e+00  -2.4449e+00  -3.9787e+00  -9.5159e-01  -3.2904e-02   5.0805e+00   1.4346e-02   3.1373e-01   1.2333e-01   1.4754e-01   8.8459e-02   1.0129e+00   7.4856e-02   8.6688e-01   8.4769e-02
+#&gt; 71:    1.0072e+02  -4.0642e+00  -2.5069e+00  -3.9493e+00  -9.3453e-01  -4.4116e-02   4.8265e+00   1.3628e-02   3.0428e-01   1.2122e-01   1.4091e-01   8.4036e-02   1.0454e+00   7.7023e-02   8.9566e-01   8.1639e-02
+#&gt; 72:    1.0049e+02  -4.0609e+00  -2.4472e+00  -3.9669e+00  -9.3972e-01  -7.7498e-02   4.5852e+00   1.4441e-02   3.2552e-01   1.3911e-01   1.4144e-01   8.1899e-02   1.0114e+00   7.7019e-02   8.2312e-01   8.2494e-02
+#&gt; 73:    1.0022e+02  -4.0598e+00  -2.4410e+00  -3.9952e+00  -9.2810e-01  -1.1309e-01   4.3559e+00   1.3719e-02   3.3556e-01   1.3303e-01   1.4990e-01   1.1303e-01   9.6726e-01   7.6776e-02   8.6331e-01   8.3048e-02
+#&gt; 74:    1.0024e+02  -4.0628e+00  -2.4358e+00  -3.9977e+00  -9.1347e-01  -9.1966e-02   4.1381e+00   1.3033e-02   3.4332e-01   1.3418e-01   1.8099e-01   1.0738e-01   1.0158e+00   7.4697e-02   8.6366e-01   8.4370e-02
+#&gt; 75:    99.7847   -4.0500   -2.4401   -4.0018   -0.9252   -0.1013    4.4651    0.0124    0.3365    0.1399    0.1817    0.1020    1.0278    0.0779    0.9008    0.0841
+#&gt; 76:    99.9526   -4.0482   -2.4819   -3.9947   -0.9049   -0.0557    4.2419    0.0126    0.3248    0.1494    0.1726    0.1135    1.0493    0.0778    0.9341    0.0804
+#&gt; 77:    99.9982   -4.0184   -2.4951   -4.0043   -0.8927   -0.0688    5.2538    0.0120    0.3696    0.1419    0.1817    0.1078    1.0402    0.0839    0.9605    0.0848
+#&gt; 78:    1.0007e+02  -4.0210e+00  -2.4725e+00  -4.0040e+00  -8.9827e-01   2.3164e-03   6.4464e+00   1.1395e-02   3.7410e-01   1.3481e-01   2.0294e-01   1.0879e-01   9.7822e-01   8.7445e-02   9.9990e-01   8.2845e-02
+#&gt; 79:    99.3513   -4.0171   -2.5065   -4.0078   -0.8962   -0.0029    7.7527    0.0108    0.3554    0.1281    0.1928    0.1069    1.0455    0.0866    0.9982    0.0870
+#&gt; 80:    98.9945   -4.0172   -2.5412   -4.0341   -0.8891   -0.0187    9.8218    0.0103    0.3376    0.1217    0.1831    0.1457    0.9733    0.0894    1.0164    0.0832
+#&gt; 81:    99.0936   -4.0275   -2.5134   -4.0127   -0.8552   -0.0614   12.1567    0.0098    0.3494    0.1156    0.1740    0.1384    0.9509    0.0843    1.0171    0.0855
+#&gt; 82:    99.2481   -3.9996   -2.4945   -4.0011   -0.8914   -0.0492   11.5489    0.0128    0.3792    0.1098    0.1653    0.1315    0.9915    0.0818    1.0405    0.0928
+#&gt; 83:    99.6941   -3.9998   -2.4851   -3.9845   -0.8802   -0.0560   10.9714    0.0146    0.3602    0.1043    0.1570    0.1249    0.9934    0.0852    0.9707    0.0866
+#&gt; 84:    99.2185   -3.9920   -2.4843   -4.0051   -0.8546   -0.0642   10.4228    0.0153    0.3422    0.0991    0.1492    0.1187    0.9923    0.0833    0.9799    0.0873
+#&gt; 85:    98.8470   -3.9956   -2.4652   -4.0201   -0.8483   -0.0414    9.9017    0.0146    0.3251    0.0941    0.1417    0.1128    0.9732    0.0901    0.9035    0.0858
+#&gt; 86:    98.5012   -3.9841   -2.5148   -4.0250   -0.8408   -0.0551    9.4066    0.0148    0.3088    0.0962    0.1346    0.1071    0.8570    0.0932    0.8532    0.0896
+#&gt; 87:    99.0868   -4.0055   -2.5058   -4.0249   -0.8522   -0.0311   10.3528    0.0175    0.2934    0.1013    0.1411    0.1018    0.8802    0.0838    0.8849    0.0862
+#&gt; 88:    99.5158   -4.0031   -2.4437   -3.9866   -0.8894   -0.0963    9.9832    0.0167    0.3049    0.1030    0.1447    0.0967    0.9955    0.0834    0.8861    0.0893
+#&gt; 89:    99.5538   -4.0347   -2.4494   -4.0213   -0.8695   -0.0494    9.4841    0.0158    0.2897    0.0978    0.1543    0.0918    0.8597    0.0904    0.8959    0.0880
+#&gt; 90:    99.4422   -4.0453   -2.4398   -4.0114   -0.9279   -0.0745    9.8221    0.0150    0.2842    0.0929    0.1466    0.0944    0.9009    0.0871    0.8696    0.0924
+#&gt; 91:    98.8721   -4.0328   -2.4996   -4.0041   -0.8832   -0.0689    9.3310    0.0143    0.2700    0.0896    0.1444    0.1137    0.9567    0.0904    0.8680    0.0891
+#&gt; 92:    99.8390   -4.0418   -2.4914   -4.0182   -0.9279   -0.0460   10.9801    0.0136    0.2585    0.0949    0.1461    0.1210    1.0043    0.0908    0.8310    0.0939
+#&gt; 93:    1.0029e+02  -4.0313e+00  -2.4620e+00  -4.0187e+00  -8.9083e-01  -1.0908e-01   1.0431e+01   1.2890e-02   2.4559e-01   9.5757e-02   1.3878e-01   1.1565e-01   9.9174e-01   9.0056e-02   8.9538e-01   8.8925e-02
+#&gt; 94:    99.3285   -4.0295   -2.4523   -4.0235   -0.8828   -0.1190   10.9003    0.0137    0.2333    0.0915    0.1318    0.1212    1.0729    0.0779    0.9543    0.0907
+#&gt; 95:    99.4117   -4.0422   -2.3807   -4.0870   -0.8960   -0.0889   10.3553    0.0130    0.2216    0.0870    0.1253    0.1366    0.9127    0.0864    0.8901    0.0911
+#&gt; 96:    99.3348   -4.0401   -2.4009   -4.0698   -0.8730   -0.0622    9.8375    0.0123    0.2106    0.0826    0.1241    0.1297    0.8504    0.0836    0.9140    0.0881
+#&gt; 97:    99.4898   -4.0419   -2.4310   -4.0589   -0.8932   -0.0634    9.3456    0.0132    0.2000    0.0785    0.1224    0.1233    0.8770    0.0836    0.8715    0.0837
+#&gt; 98:    99.3750   -4.0704   -2.4353   -4.0616   -0.9333   -0.0846    8.8783    0.0136    0.1900    0.0746    0.1245    0.1171    0.8907    0.0838    0.9066    0.0832
+#&gt; 99:    99.6234   -4.0366   -2.3740   -4.0657   -0.9242   -0.0675    8.4344    0.0129    0.1805    0.0708    0.1182    0.1112    0.8814    0.0808    0.9511    0.0863
+#&gt; 100:    1.0025e+02  -4.0420e+00  -2.3557e+00  -4.0579e+00  -9.5051e-01  -6.3418e-02   8.0319e+00   1.2286e-02   1.7150e-01   6.7291e-02   1.1232e-01   1.0568e-01   8.5851e-01   8.7881e-02   8.9363e-01   8.5897e-02
+#&gt; 101:    1.0041e+02  -4.0461e+00  -2.3840e+00  -4.0384e+00  -9.3752e-01  -7.7594e-02   9.5649e+00   1.1672e-02   1.7509e-01   6.3926e-02   1.2760e-01   1.0039e-01   8.6733e-01   8.2748e-02   9.6277e-01   8.4274e-02
+#&gt; 102:    1.0095e+02  -4.0372e+00  -2.3633e+00  -4.0286e+00  -9.1961e-01  -6.5350e-02   1.1428e+01   1.1088e-02   1.8557e-01   6.0730e-02   1.3211e-01   9.5374e-02   9.3928e-01   8.0161e-02   9.7913e-01   8.4081e-02
+#&gt; 103:    1.0019e+02  -4.0236e+00  -2.4105e+00  -4.0337e+00  -9.1362e-01  -7.3859e-02   1.0856e+01   1.0534e-02   1.7629e-01   5.7693e-02   1.2695e-01   9.1362e-02   9.8491e-01   8.1430e-02   9.7682e-01   8.2250e-02
+#&gt; 104:    99.7755   -4.0280   -2.4452   -4.0197   -0.9112   -0.0810   11.0317    0.0100    0.1796    0.0548    0.1301    0.0868    0.9418    0.0816    0.9170    0.0806
+#&gt; 105:    1.0010e+02  -4.0418e+00  -2.4294e+00  -4.0225e+00  -9.1111e-01  -8.9920e-02   1.0480e+01   9.5070e-03   1.7060e-01   5.2068e-02   1.3987e-01   8.2454e-02   9.1944e-01   7.8110e-02   8.9266e-01   8.7228e-02
+#&gt; 106:    1.0025e+02  -4.0507e+00  -2.4134e+00  -4.0343e+00  -9.0244e-01  -8.4683e-02   1.3506e+01   9.0316e-03   1.6207e-01   4.9465e-02   1.5337e-01   7.8331e-02   9.9609e-01   8.4473e-02   8.7046e-01   8.5479e-02
+#&gt; 107:    1.0014e+02  -4.0468e+00  -2.3972e+00  -4.0196e+00  -9.3650e-01  -2.4087e-02   1.2830e+01   8.5801e-03   1.6027e-01   4.6992e-02   1.5429e-01   8.2493e-02   9.8959e-01   8.2626e-02   8.3427e-01   8.8197e-02
+#&gt; 108:    1.0114e+02  -4.0338e+00  -2.4307e+00  -4.0724e+00  -9.1363e-01   1.1952e-02   1.2189e+01   8.1511e-03   1.5563e-01   4.4854e-02   1.7315e-01   7.8368e-02   9.8589e-01   7.8130e-02   9.0460e-01   8.2870e-02
+#&gt; 109:    1.0066e+02  -4.0550e+00  -2.4094e+00  -4.0641e+00  -9.0945e-01  -1.5401e-03   1.3149e+01   7.7435e-03   1.4785e-01   4.2612e-02   1.7232e-01   7.4450e-02   1.0942e+00   7.4816e-02   9.1706e-01   8.5333e-02
+#&gt; 110:    1.0111e+02  -4.0266e+00  -2.4047e+00  -4.0646e+00  -9.0541e-01  -1.7212e-02   1.2492e+01   7.3563e-03   1.4046e-01   4.0481e-02   1.8132e-01   7.0727e-02   1.0508e+00   7.9457e-02   9.8990e-01   8.2975e-02
+#&gt; 111:    1.0155e+02  -4.0274e+00  -2.3645e+00  -4.0663e+00  -9.4902e-01  -1.8882e-02   1.1867e+01   8.7757e-03   1.4436e-01   3.8457e-02   1.7225e-01   6.7191e-02   1.0217e+00   7.7437e-02   9.9196e-01   8.1580e-02
+#&gt; 112:    1.0209e+02  -4.0230e+00  -2.3938e+00  -4.0375e+00  -9.5447e-01  -5.0888e-02   1.4321e+01   8.3370e-03   1.4863e-01   3.6534e-02   1.6778e-01   8.2186e-02   9.3085e-01   8.3291e-02   9.8775e-01   7.9492e-02
+#&gt; 113:    1.0188e+02  -4.0173e+00  -2.3804e+00  -4.0403e+00  -9.6152e-01  -7.7453e-02   1.3605e+01   7.9201e-03   1.5060e-01   3.4708e-02   1.7341e-01   8.4506e-02   9.0783e-01   8.7383e-02   9.4854e-01   8.2648e-02
+#&gt; 114:    1.0239e+02  -4.0081e+00  -2.3724e+00  -4.0332e+00  -9.4315e-01  -7.4933e-02   1.2925e+01   7.5241e-03   1.4307e-01   3.2972e-02   1.6695e-01   8.0281e-02   9.2775e-01   8.4314e-02   9.6195e-01   7.9448e-02
+#&gt; 115:    1.0199e+02  -4.0127e+00  -2.3773e+00  -4.0472e+00  -9.5157e-01  -2.0947e-02   1.2279e+01   7.4483e-03   1.3592e-01   3.1324e-02   1.6705e-01   7.6267e-02   9.4956e-01   7.6989e-02   1.0340e+00   8.5564e-02
+#&gt; 116:    1.0122e+02  -4.0264e+00  -2.4014e+00  -4.0509e+00  -9.1462e-01  -2.3511e-02   1.1665e+01   7.0759e-03   1.2912e-01   2.9757e-02   1.5870e-01   7.2453e-02   9.3580e-01   8.2952e-02   9.3341e-01   8.3302e-02
+#&gt; 117:    1.0112e+02  -4.0326e+00  -2.4093e+00  -4.0559e+00  -8.9743e-01  -2.0572e-02   1.1082e+01   6.7221e-03   1.2266e-01   2.8269e-02   1.5339e-01   6.8831e-02   9.0879e-01   8.4441e-02   9.1432e-01   8.0538e-02
+#&gt; 118:    1.0123e+02  -4.0411e+00  -2.4077e+00  -4.0556e+00  -9.2971e-01  -2.1885e-02   1.0528e+01   6.3860e-03   1.1653e-01   3.3123e-02   1.6947e-01   6.5389e-02   9.7140e-01   8.6671e-02   8.9874e-01   8.1670e-02
+#&gt; 119:    1.0098e+02  -4.0538e+00  -2.3515e+00  -4.0607e+00  -9.5433e-01  -7.5743e-02   1.0001e+01   6.0667e-03   1.1070e-01   3.1467e-02   1.8338e-01   6.2120e-02   9.1537e-01   8.4827e-02   9.2420e-01   8.2769e-02
+#&gt; 120:    1.0076e+02  -4.0573e+00  -2.3627e+00  -4.0329e+00  -9.3251e-01  -6.7669e-02   9.5011e+00   5.7634e-03   1.0517e-01   3.2868e-02   1.7422e-01   6.6096e-02   9.5247e-01   8.5343e-02   9.4678e-01   8.5335e-02
+#&gt; 121:    1.0085e+02  -4.0450e+00  -2.3478e+00  -4.0692e+00  -9.2333e-01  -9.8005e-03   9.0261e+00   5.4752e-03   9.9911e-02   3.1225e-02   1.6550e-01   7.1593e-02   8.5572e-01   8.8654e-02   1.0248e+00   8.0646e-02
+#&gt; 122:    1.0164e+02  -4.0325e+00  -2.3562e+00  -4.0680e+00  -9.4287e-01  -1.2103e-02   8.5748e+00   5.3493e-03   9.4915e-02   2.9663e-02   1.6347e-01   6.8014e-02   8.4872e-01   8.6803e-02   1.0282e+00   8.0381e-02
+#&gt; 123:    1.0184e+02  -4.0521e+00  -2.3504e+00  -4.0714e+00  -9.5966e-01  -9.1996e-05   8.1460e+00   5.0818e-03   9.8247e-02   3.0007e-02   1.7746e-01   6.4613e-02   9.7181e-01   8.0986e-02   9.8860e-01   8.0317e-02
+#&gt; 124:    1.0235e+02  -4.0674e+00  -2.3315e+00  -4.0874e+00  -9.9802e-01   3.8818e-02   7.7387e+00   4.8277e-03   9.3335e-02   2.8506e-02   1.7611e-01   6.8940e-02   9.7376e-01   7.6658e-02   9.9156e-01   8.4407e-02
+#&gt; 125:    1.0257e+02  -4.0718e+00  -2.3604e+00  -4.0627e+00  -1.0591e+00   2.4685e-02   7.3518e+00   4.5863e-03   8.8668e-02   3.0650e-02   1.8671e-01   6.5493e-02   1.0275e+00   8.2278e-02   1.0896e+00   8.0976e-02
+#&gt; 126:    1.0287e+02  -4.0691e+00  -2.3103e+00  -4.0552e+00  -1.0174e+00   2.1863e-02   7.5644e+00   4.3570e-03   1.0937e-01   2.9117e-02   1.7738e-01   6.2218e-02   9.2668e-01   7.9560e-02   9.5409e-01   8.4671e-02
+#&gt; 127:    1.0327e+02  -4.0528e+00  -2.3141e+00  -4.0522e+00  -1.0108e+00   4.4779e-03   7.1862e+00   4.1392e-03   1.2239e-01   2.7661e-02   1.6925e-01   5.9107e-02   9.1372e-01   7.9536e-02   9.9164e-01   8.2999e-02
+#&gt; 128:    1.0352e+02  -4.0496e+00  -2.2880e+00  -4.0496e+00  -1.0063e+00  -1.3248e-02   7.6721e+00   3.9613e-03   1.1627e-01   2.6278e-02   1.7517e-01   8.0231e-02   8.4407e-01   8.5078e-02   9.4382e-01   8.7530e-02
+#&gt; 129:    1.0345e+02  -4.0715e+00  -2.3090e+00  -4.0400e+00  -1.0276e+00  -1.8301e-02   8.2197e+00   3.7633e-03   1.1046e-01   2.7141e-02   1.9366e-01   7.6220e-02   9.3357e-01   8.2674e-02   9.7064e-01   8.6011e-02
+#&gt; 130:    1.0245e+02  -4.0787e+00  -2.3263e+00  -4.0106e+00  -1.0200e+00  -8.5976e-02   7.8087e+00   4.0830e-03   1.3607e-01   2.6631e-02   2.2700e-01   7.2409e-02   9.8233e-01   7.9348e-02   9.6780e-01   8.2658e-02
+#&gt; 131:    1.0217e+02  -4.0760e+00  -2.2525e+00  -4.0082e+00  -1.0099e+00  -1.6111e-01   7.4183e+00   3.8789e-03   1.3972e-01   2.5299e-02   2.2508e-01   6.8788e-02   1.0066e+00   7.8692e-02   9.4684e-01   8.4349e-02
+#&gt; 132:    1.0185e+02  -4.0792e+00  -2.2309e+00  -3.9996e+00  -9.8302e-01  -2.2504e-01   7.0474e+00   4.0356e-03   1.3743e-01   2.4034e-02   2.1383e-01   7.7346e-02   9.4225e-01   7.9110e-02   9.5160e-01   8.4398e-02
+#&gt; 133:    1.0135e+02  -4.0818e+00  -2.2219e+00  -4.0054e+00  -9.7264e-01  -1.8912e-01   7.1932e+00   3.8338e-03   1.3056e-01   2.2833e-02   2.0314e-01   7.6769e-02   1.0031e+00   8.5400e-02   1.0034e+00   8.4805e-02
+#&gt; 134:    1.0148e+02  -4.0782e+00  -2.2492e+00  -3.9886e+00  -9.5184e-01  -1.5049e-01   6.8336e+00   3.6422e-03   1.2403e-01   2.3398e-02   1.9298e-01   7.2931e-02   9.3696e-01   8.3566e-02   9.4742e-01   8.9137e-02
+#&gt; 135:    1.0145e+02  -4.0852e+00  -2.3062e+00  -4.0011e+00  -9.4444e-01  -1.6803e-01   6.4919e+00   3.4600e-03   1.1783e-01   2.2228e-02   1.8333e-01   6.9284e-02   9.4846e-01   8.3087e-02   9.7774e-01   8.2610e-02
+#&gt; 136:    1.0177e+02  -4.0861e+00  -2.2785e+00  -3.9890e+00  -9.9625e-01  -1.8938e-01   6.1673e+00   3.2870e-03   1.1752e-01   2.1116e-02   1.8815e-01   6.5820e-02   9.3634e-01   8.5255e-02   1.1001e+00   8.5332e-02
+#&gt; 137:    1.0200e+02  -4.0928e+00  -2.1946e+00  -3.9974e+00  -1.0098e+00  -1.8810e-01   5.8589e+00   3.1227e-03   1.2394e-01   2.1203e-02   1.7874e-01   7.2232e-02   1.0048e+00   7.3422e-02   1.0222e+00   8.3484e-02
+#&gt; 138:    1.0214e+02  -4.0820e+00  -2.2052e+00  -3.9737e+00  -1.0420e+00  -2.0594e-01   5.5660e+00   3.8937e-03   1.9164e-01   2.0143e-02   1.6980e-01   6.8621e-02   1.0126e+00   7.6106e-02   1.0780e+00   8.2960e-02
+#&gt; 139:    1.0249e+02  -4.0785e+00  -2.1649e+00  -3.9567e+00  -1.0095e+00  -2.8807e-01   5.2877e+00   3.6990e-03   1.8647e-01   1.9135e-02   1.6131e-01   6.5190e-02   1.0030e+00   7.9858e-02   1.0611e+00   8.4109e-02
+#&gt; 140:    1.0184e+02  -4.0847e+00  -2.1800e+00  -3.9565e+00  -9.9415e-01  -2.8869e-01   5.0233e+00   4.0857e-03   1.9502e-01   1.8179e-02   1.6676e-01   6.2879e-02   9.5962e-01   7.8117e-02   9.9649e-01   8.4914e-02
+#&gt; 141:    1.0195e+02  -4.1012e+00  -2.1831e+00  -3.9488e+00  -9.9515e-01  -3.1864e-01   4.7721e+00   3.8814e-03   1.8527e-01   1.7270e-02   1.6797e-01   6.1084e-02   9.0969e-01   8.2722e-02   1.0122e+00   8.2518e-02
+#&gt; 142:    1.0233e+02  -4.1139e+00  -2.1692e+00  -3.9542e+00  -1.0023e+00  -3.3242e-01   4.5335e+00   3.6873e-03   2.0662e-01   1.6406e-02   1.5957e-01   5.8030e-02   9.4761e-01   8.4629e-02   1.0342e+00   8.3954e-02
+#&gt; 143:    1.0217e+02  -4.1103e+00  -2.1380e+00  -3.9511e+00  -1.0300e+00  -2.5992e-01   5.2035e+00   4.7053e-03   1.9629e-01   1.5586e-02   1.5979e-01   5.5128e-02   8.9255e-01   7.9042e-02   1.0461e+00   8.6952e-02
+#&gt; 144:    1.0185e+02  -4.1335e+00  -2.1911e+00  -3.9650e+00  -1.0440e+00  -2.4451e-01   5.0998e+00   4.4700e-03   1.8648e-01   1.9590e-02   1.5534e-01   5.2372e-02   9.7863e-01   8.3932e-02   1.0197e+00   8.7673e-02
+#&gt; 145:    1.0242e+02  -4.1445e+00  -2.1203e+00  -3.9616e+00  -1.0426e+00  -2.7120e-01   4.8448e+00   4.2465e-03   1.7715e-01   1.8611e-02   1.4757e-01   4.9753e-02   1.0024e+00   8.4131e-02   1.0768e+00   8.5388e-02
+#&gt; 146:    1.0236e+02  -4.1519e+00  -2.1958e+00  -3.9779e+00  -9.8615e-01  -2.5863e-01   4.6026e+00   4.0718e-03   1.6829e-01   1.7680e-02   1.6407e-01   4.7266e-02   1.0740e+00   8.2413e-02   1.0706e+00   8.3410e-02
+#&gt; 147:    1.0251e+02  -4.1465e+00  -2.2042e+00  -3.9775e+00  -1.0317e+00  -2.2757e-01   4.3725e+00   3.8682e-03   1.5988e-01   1.6796e-02   1.7016e-01   4.4902e-02   9.7748e-01   8.3376e-02   1.0880e+00   8.1968e-02
+#&gt; 148:    1.0244e+02  -4.1432e+00  -2.1786e+00  -3.9792e+00  -1.0442e+00  -2.2002e-01   4.9671e+00   3.6748e-03   1.5189e-01   1.5956e-02   2.2196e-01   4.2657e-02   1.0412e+00   7.8051e-02   1.1051e+00   8.1618e-02
+#&gt; 149:    1.0219e+02  -4.1384e+00  -2.2318e+00  -3.9757e+00  -1.0438e+00  -2.4124e-01   4.7187e+00   3.4910e-03   1.4429e-01   1.6061e-02   2.1086e-01   4.0524e-02   1.0082e+00   8.0377e-02   1.1455e+00   8.0545e-02
+#&gt; 150:    1.0264e+02  -4.1498e+00  -2.2352e+00  -3.9915e+00  -1.0669e+00  -2.1255e-01   4.4828e+00   3.3165e-03   1.3708e-01   1.7218e-02   2.0032e-01   3.8498e-02   9.5031e-01   8.7248e-02   9.8770e-01   8.3250e-02
+#&gt; 151:    1.0250e+02  -4.1365e+00  -2.1876e+00  -3.9939e+00  -1.0568e+00  -1.8159e-01   4.2587e+00   3.1507e-03   1.3022e-01   1.7383e-02   1.9030e-01   3.6573e-02   9.6938e-01   8.0203e-02   1.0578e+00   8.3430e-02
+#&gt; 152:    1.0256e+02  -4.1370e+00  -2.2238e+00  -4.0047e+00  -1.0406e+00  -1.8764e-01   1.9609e+00   1.4191e-03   1.1882e-01   1.7924e-02   1.6889e-01   4.1216e-02   9.1972e-01   7.8573e-02   1.0717e+00   8.0882e-02
+#&gt; 153:    1.0219e+02  -4.1299e+00  -2.2139e+00  -3.9917e+00  -9.9964e-01  -2.0505e-01   1.8258e+00   1.0432e-03   8.4660e-02   2.1446e-02   1.7634e-01   3.5573e-02   9.3702e-01   8.4860e-02   1.0145e+00   8.3329e-02
+#&gt; 154:    1.0199e+02  -4.1354e+00  -2.2231e+00  -3.9779e+00  -1.0155e+00  -2.2573e-01   2.6463e+00   5.8153e-04   8.8101e-02   2.3167e-02   1.6103e-01   3.3874e-02   9.5360e-01   8.6215e-02   9.5723e-01   8.4603e-02
+#&gt; 155:    1.0234e+02  -4.1239e+00  -2.2137e+00  -3.9802e+00  -1.0070e+00  -2.3158e-01   2.9697e+00   6.6709e-04   1.1190e-01   2.0949e-02   1.8298e-01   3.1557e-02   9.2910e-01   8.2509e-02   9.8680e-01   8.5206e-02
+#&gt; 156:    1.0253e+02  -4.1269e+00  -2.2370e+00  -3.9682e+00  -1.0420e+00  -2.1219e-01   2.7267e+00   6.8451e-04   8.9651e-02   2.4380e-02   1.6613e-01   3.4846e-02   9.3608e-01   8.7506e-02   9.0446e-01   8.1755e-02
+#&gt; 157:    1.0265e+02  -4.1241e+00  -2.2179e+00  -3.9676e+00  -1.0308e+00  -2.2480e-01   2.1278e+00   4.9811e-04   6.7161e-02   1.9758e-02   1.5607e-01   4.4198e-02   9.4162e-01   8.7311e-02   9.9147e-01   7.9857e-02
+#&gt; 158:    1.0239e+02  -4.1219e+00  -2.1615e+00  -3.9781e+00  -1.0384e+00  -2.6750e-01   2.5310e+00   4.8270e-04   6.5662e-02   1.8085e-02   1.7665e-01   4.4020e-02   8.8632e-01   8.6004e-02   1.0425e+00   8.2894e-02
+#&gt; 159:    1.0270e+02  -4.1204e+00  -2.1837e+00  -3.9530e+00  -1.0587e+00  -2.5809e-01   3.4348e+00   5.6788e-04   6.5500e-02   1.9540e-02   1.8629e-01   4.0730e-02   9.5079e-01   8.2399e-02   9.9316e-01   8.3381e-02
+#&gt; 160:    1.0282e+02  -4.1223e+00  -2.1325e+00  -3.9734e+00  -1.0068e+00  -2.8751e-01   3.9652e+00   7.6565e-04   8.5246e-02   1.7068e-02   1.7587e-01   3.0778e-02   9.1802e-01   8.0158e-02   9.9642e-01   8.1564e-02
+#&gt; 161:    1.0330e+02  -4.1180e+00  -2.1879e+00  -3.9743e+00  -1.0268e+00  -2.8812e-01   4.9153e+00   5.8033e-04   8.0457e-02   1.8555e-02   1.7312e-01   3.3941e-02   8.6920e-01   8.2509e-02   9.5632e-01   8.1798e-02
+#&gt; 162:    1.0335e+02  -4.1182e+00  -2.2089e+00  -3.9566e+00  -1.0409e+00  -2.7390e-01   3.6169e+00   2.8392e-04   1.0776e-01   1.9589e-02   1.6479e-01   2.8481e-02   8.8603e-01   8.7799e-02   9.5197e-01   7.9563e-02
+#&gt; 163:    1.0294e+02  -4.1181e+00  -2.2025e+00  -3.9462e+00  -9.9783e-01  -3.0753e-01   3.7234e+00   1.6293e-04   9.6922e-02   2.4842e-02   1.9367e-01   3.1473e-02   9.0380e-01   9.1697e-02   9.4394e-01   8.2786e-02
+#&gt; 164:    1.0246e+02  -4.1155e+00  -2.2157e+00  -3.9736e+00  -9.9866e-01  -2.9356e-01   3.9439e+00   1.9405e-04   1.0404e-01   2.8435e-02   1.9043e-01   3.1239e-02   8.9853e-01   8.9427e-02   9.2586e-01   8.3170e-02
+#&gt; 165:    1.0204e+02  -4.1117e+00  -2.2133e+00  -3.9674e+00  -1.0079e+00  -2.6996e-01   3.0774e+00   1.6591e-04   7.0005e-02   2.8285e-02   2.0813e-01   2.4574e-02   8.9719e-01   9.1629e-02   9.8242e-01   8.3692e-02
+#&gt; 166:    1.0207e+02  -4.1164e+00  -2.2192e+00  -3.9893e+00  -1.0354e+00  -2.7396e-01   1.8145e+00   8.4168e-05   9.0739e-02   2.7410e-02   2.1403e-01   2.4311e-02   8.9386e-01   9.2727e-02   9.4636e-01   8.4238e-02
+#&gt; 167:    1.0187e+02  -4.1149e+00  -2.2185e+00  -3.9708e+00  -1.0036e+00  -2.5751e-01   1.5355e+00   4.0974e-05   9.9346e-02   2.2030e-02   2.1916e-01   2.6726e-02   9.1055e-01   8.1030e-02   1.0098e+00   7.9180e-02
+#&gt; 168:    1.0172e+02  -4.1167e+00  -2.2673e+00  -3.9702e+00  -9.8388e-01  -2.1404e-01   1.4836e+00   2.7779e-05   7.7509e-02   2.9513e-02   1.9543e-01   3.4526e-02   1.0152e+00   8.1248e-02   9.7482e-01   8.0746e-02
+#&gt; 169:    1.0175e+02  -4.1171e+00  -2.2634e+00  -3.9701e+00  -9.5962e-01  -2.4130e-01   1.4263e+00   4.7370e-05   5.0986e-02   2.8211e-02   2.2554e-01   3.9909e-02   9.8519e-01   7.8842e-02   1.0023e+00   8.5684e-02
+#&gt; 170:    1.0177e+02  -4.1189e+00  -2.2417e+00  -3.9834e+00  -1.0059e+00  -2.6551e-01   9.9010e-01   3.7247e-05   4.2517e-02   2.9791e-02   1.8705e-01   4.2435e-02   9.6604e-01   8.8427e-02   9.6699e-01   8.3986e-02
+#&gt; 171:    1.0182e+02  -4.1187e+00  -2.2464e+00  -3.9953e+00  -9.8154e-01  -2.5146e-01   7.4179e-01   3.2420e-05   5.0690e-02   3.0483e-02   1.7888e-01   6.3177e-02   9.2784e-01   8.4814e-02   1.0018e+00   8.4070e-02
+#&gt; 172:    1.0184e+02  -4.1178e+00  -2.2483e+00  -4.0009e+00  -1.0096e+00  -2.2636e-01   9.6710e-01   2.6981e-05   3.1321e-02   2.7772e-02   1.9767e-01   7.4969e-02   9.9720e-01   8.1434e-02   9.5483e-01   8.3419e-02
+#&gt; 173:    1.0160e+02  -4.1183e+00  -2.2513e+00  -3.9920e+00  -9.8456e-01  -2.0144e-01   4.9964e-01   2.1222e-05   4.1909e-02   2.8101e-02   2.1163e-01   1.2811e-01   9.6384e-01   8.0352e-02   9.2496e-01   8.2328e-02
+#&gt; 174:    1.0159e+02  -4.1179e+00  -2.2334e+00  -4.0068e+00  -1.0316e+00  -2.0656e-01   4.6608e-01   1.8044e-05   4.4647e-02   2.8273e-02   2.0083e-01   1.2780e-01   9.4612e-01   8.3630e-02   8.9385e-01   8.3930e-02
+#&gt; 175:    1.0159e+02  -4.1182e+00  -2.2567e+00  -3.9972e+00  -1.0299e+00  -1.6534e-01   4.5228e-01   2.0060e-05   8.5751e-02   2.5343e-02   1.7864e-01   8.6977e-02   9.5795e-01   7.8867e-02   8.9213e-01   8.4362e-02
+#&gt; 176:    1.0159e+02  -4.1183e+00  -2.2109e+00  -3.9983e+00  -1.0210e+00  -2.0879e-01   5.3694e-01   2.0264e-05   1.2835e-01   2.5563e-02   1.9469e-01   6.0808e-02   9.1537e-01   7.8520e-02   9.3355e-01   8.3608e-02
+#&gt; 177:    1.0155e+02  -4.1193e+00  -2.2587e+00  -3.9825e+00  -1.0180e+00  -1.6859e-01   4.4935e-01   3.0321e-05   1.3509e-01   2.4979e-02   2.0113e-01   6.3617e-02   9.7277e-01   7.8515e-02   9.2667e-01   8.5309e-02
+#&gt; 178:    1.0158e+02  -4.1196e+00  -2.2679e+00  -4.0231e+00  -1.0143e+00  -1.6084e-01   6.7629e-01   3.2855e-05   6.8816e-02   2.7808e-02   1.8944e-01   8.1814e-02   8.8319e-01   8.0114e-02   9.5183e-01   8.2195e-02
+#&gt; 179:    1.0166e+02  -4.1190e+00  -2.2764e+00  -3.9875e+00  -1.0061e+00  -1.8260e-01   7.1129e-01   3.8250e-05   7.5489e-02   2.4148e-02   1.8082e-01   7.1172e-02   9.1387e-01   8.0813e-02   9.6660e-01   8.2457e-02
+#&gt; 180:    1.0179e+02  -4.1202e+00  -2.2848e+00  -3.9974e+00  -9.9825e-01  -2.0277e-01   5.5755e-01   2.8041e-05   8.6779e-02   2.7193e-02   1.8826e-01   6.5133e-02   8.8812e-01   8.2655e-02   9.2100e-01   7.9919e-02
+#&gt; 181:    1.0176e+02  -4.1200e+00  -2.2704e+00  -3.9954e+00  -1.0194e+00  -1.6896e-01   4.3842e-01   2.2428e-05   7.4093e-02   3.0526e-02   2.3473e-01   1.0537e-01   9.2303e-01   8.2141e-02   9.2941e-01   8.4699e-02
+#&gt; 182:    1.0182e+02  -4.1211e+00  -2.3159e+00  -4.0259e+00  -1.0162e+00  -1.2876e-01   3.4993e-01   1.5716e-05   5.9887e-02   2.6422e-02   2.1757e-01   1.0488e-01   9.1725e-01   9.4143e-02   9.7674e-01   8.8668e-02
+#&gt; 183:    1.0184e+02  -4.1216e+00  -2.2985e+00  -4.0278e+00  -1.0136e+00  -1.3154e-01   2.6456e-01   1.2552e-05   5.7149e-02   3.2712e-02   2.0632e-01   1.5501e-01   9.2464e-01   8.5394e-02   8.8699e-01   8.4279e-02
+#&gt; 184:    1.0172e+02  -4.1212e+00  -2.2726e+00  -4.0189e+00  -1.0280e+00  -1.2967e-01   3.0582e-01   7.5239e-06   8.2812e-02   2.9556e-02   1.9725e-01   1.3753e-01   9.0862e-01   8.1319e-02   9.0031e-01   8.3491e-02
+#&gt; 185:    1.0178e+02  -4.1208e+00  -2.2858e+00  -4.0272e+00  -1.0063e+00  -1.6155e-01   3.0856e-01   4.5894e-06   8.8870e-02   2.5817e-02   1.9251e-01   1.0670e-01   9.1157e-01   7.7834e-02   9.6258e-01   7.8990e-02
+#&gt; 186:    1.0198e+02  -4.1208e+00  -2.2682e+00  -4.0401e+00  -9.8523e-01  -1.1556e-01   2.4761e-01   3.2640e-06   7.5614e-02   2.1067e-02   1.9085e-01   9.0045e-02   8.5090e-01   8.6621e-02   1.0145e+00   8.1864e-02
+#&gt; 187:    1.0197e+02  -4.1208e+00  -2.2788e+00  -4.0281e+00  -1.0066e+00  -1.0149e-01   2.0460e-01   4.5073e-06   7.8797e-02   2.3861e-02   2.0725e-01   7.9771e-02   9.6253e-01   8.2363e-02   9.3855e-01   8.3939e-02
+#&gt; 188:    1.0196e+02  -4.1207e+00  -2.3105e+00  -4.0149e+00  -1.0217e+00  -9.0603e-02   2.2178e-01   3.6903e-06   8.9793e-02   2.1775e-02   1.9248e-01   8.2415e-02   9.4078e-01   8.1247e-02   9.1756e-01   8.2786e-02
+#&gt; 189:    1.0202e+02  -4.1204e+00  -2.2702e+00  -4.0430e+00  -1.0032e+00  -1.1308e-01   2.2944e-01   3.5141e-06   7.8575e-02   2.4885e-02   2.0968e-01   8.2380e-02   9.5115e-01   8.1619e-02   9.2134e-01   8.9958e-02
+#&gt; 190:    1.0195e+02  -4.1207e+00  -2.3126e+00  -4.0312e+00  -1.0154e+00  -6.3842e-02   2.5129e-01   2.6517e-06   4.2267e-02   2.2084e-02   1.9361e-01   7.0492e-02   9.3985e-01   8.5817e-02   9.3893e-01   8.7011e-02
+#&gt; 191:    1.0203e+02  -4.1206e+00  -2.2758e+00  -4.0290e+00  -1.0102e+00  -3.1042e-02   1.7935e-01   3.4489e-06   5.7444e-02   2.3544e-02   1.9651e-01   7.9509e-02   9.5213e-01   8.2030e-02   1.0054e+00   8.7523e-02
+#&gt; 192:    1.0199e+02  -4.1205e+00  -2.2969e+00  -4.0329e+00  -1.0364e+00  -8.3705e-02   1.5785e-01   3.5081e-06   7.4305e-02   2.2992e-02   1.9662e-01   7.7684e-02   9.2601e-01   8.3027e-02   9.8642e-01   8.3428e-02
+#&gt; 193:    1.0196e+02  -4.1205e+00  -2.2661e+00  -4.0513e+00  -9.9271e-01  -4.6516e-02   1.2084e-01   2.6911e-06   6.8360e-02   3.5444e-02   1.9649e-01   7.5188e-02   9.1949e-01   7.9194e-02   1.0046e+00   8.5964e-02
+#&gt; 194:    1.0198e+02  -4.1207e+00  -2.2817e+00  -4.0520e+00  -9.9852e-01  -8.4466e-02   1.3596e-01   1.5511e-06   6.5142e-02   4.1562e-02   1.9137e-01   9.6992e-02   9.6709e-01   7.6757e-02   9.7566e-01   8.3784e-02
+#&gt; 195:    1.0200e+02  -4.1207e+00  -2.3076e+00  -4.0637e+00  -1.0028e+00  -7.2489e-02   1.0942e-01   1.6451e-06   6.1364e-02   4.6242e-02   1.9470e-01   9.3546e-02   9.9614e-01   8.1292e-02   9.7814e-01   8.1909e-02
+#&gt; 196:    1.0194e+02  -4.1205e+00  -2.2970e+00  -4.0482e+00  -9.8816e-01  -6.8493e-02   1.1918e-01   1.2629e-06   4.2775e-02   3.6925e-02   2.3565e-01   7.7784e-02   8.9524e-01   9.2250e-02   9.8003e-01   8.2408e-02
+#&gt; 197:    1.0199e+02  -4.1205e+00  -2.3075e+00  -4.0418e+00  -1.0196e+00  -6.8458e-02   1.7674e-01   7.5205e-07   5.2125e-02   2.9288e-02   2.1892e-01   8.4416e-02   8.9857e-01   9.1154e-02   1.0377e+00   8.3604e-02
+#&gt; 198:    1.0197e+02  -4.1206e+00  -2.3051e+00  -4.0367e+00  -1.0252e+00  -6.9200e-02   9.1625e-02   6.6068e-07   4.7665e-02   2.8907e-02   1.8679e-01   7.5787e-02   9.0272e-01   8.8077e-02   9.2929e-01   8.0385e-02
+#&gt; 199:    1.0192e+02  -4.1204e+00  -2.3163e+00  -4.0506e+00  -1.0152e+00  -5.3872e-02   6.8196e-02   5.5789e-07   6.0471e-02   3.1730e-02   2.0053e-01   6.8557e-02   9.0478e-01   8.5910e-02   9.3814e-01   8.2211e-02
+#&gt; 200:    1.0195e+02  -4.1205e+00  -2.3141e+00  -4.0728e+00  -1.0010e+00  -2.5675e-03   6.5235e-02   6.9762e-07   5.8458e-02   2.8504e-02   2.0377e-01   4.9513e-02   8.5640e-01   8.6640e-02   9.5731e-01   8.4390e-02
+#&gt; 201:    1.0195e+02  -4.1205e+00  -2.3106e+00  -4.0774e+00  -9.9012e-01   5.1724e-03   5.1225e-02   5.4222e-07   6.0577e-02   3.3554e-02   2.0505e-01   4.4738e-02   8.8073e-01   8.5488e-02   9.6928e-01   8.4895e-02
+#&gt; 202:    1.0194e+02  -4.1205e+00  -2.3078e+00  -4.0767e+00  -9.9283e-01   3.9328e-03   4.5461e-02   4.8520e-07   6.7405e-02   3.4599e-02   2.1312e-01   4.6664e-02   9.0528e-01   8.4189e-02   9.8043e-01   8.5266e-02
+#&gt; 203:    1.0193e+02  -4.1205e+00  -2.3029e+00  -4.0790e+00  -9.8990e-01  -9.1380e-03   4.7128e-02   5.0468e-07   6.8524e-02   3.6050e-02   2.1378e-01   5.1774e-02   9.0923e-01   8.4899e-02   9.8928e-01   8.4613e-02
+#&gt; 204:    1.0192e+02  -4.1205e+00  -2.3080e+00  -4.0760e+00  -9.8833e-01  -1.2434e-02   4.8184e-02   4.9472e-07   6.4152e-02   3.5604e-02   2.0954e-01   5.1354e-02   9.1294e-01   8.5219e-02   9.8301e-01   8.4374e-02
+#&gt; 205:    1.0192e+02  -4.1205e+00  -2.3100e+00  -4.0712e+00  -9.9253e-01  -2.3365e-02   4.5888e-02   5.0564e-07   5.9894e-02   3.5053e-02   2.0322e-01   5.4423e-02   9.0925e-01   8.5899e-02   9.8418e-01   8.3421e-02
+#&gt; 206:    1.0192e+02  -4.1205e+00  -2.3095e+00  -4.0715e+00  -9.9721e-01  -2.6262e-02   4.3985e-02   5.1954e-07   5.8681e-02   3.4539e-02   2.0202e-01   5.8248e-02   9.1301e-01   8.5459e-02   9.8621e-01   8.3465e-02
+#&gt; 207:    1.0192e+02  -4.1205e+00  -2.3179e+00  -4.0731e+00  -9.9906e-01  -2.3191e-02   4.3649e-02   5.3824e-07   5.7537e-02   3.4790e-02   2.0220e-01   6.0242e-02   9.1783e-01   8.5307e-02   9.8436e-01   8.3111e-02
+#&gt; 208:    1.0191e+02  -4.1205e+00  -2.3238e+00  -4.0734e+00  -9.9920e-01  -1.9434e-02   4.3223e-02   5.3831e-07   5.7908e-02   3.4909e-02   2.0126e-01   6.0353e-02   9.2010e-01   8.5244e-02   9.8002e-01   8.2975e-02
+#&gt; 209:    1.0191e+02  -4.1205e+00  -2.3279e+00  -4.0726e+00  -1.0053e+00  -1.5390e-02   4.1064e-02   5.3171e-07   5.8749e-02   3.4510e-02   1.9942e-01   6.3063e-02   9.3192e-01   8.4436e-02   9.8298e-01   8.3187e-02
+#&gt; 210:    1.0191e+02  -4.1205e+00  -2.3310e+00  -4.0705e+00  -1.0061e+00  -1.3507e-02   3.8265e-02   5.2762e-07   5.9344e-02   3.3374e-02   1.9612e-01   6.7006e-02   9.3199e-01   8.4573e-02   9.8382e-01   8.3227e-02
+#&gt; 211:    1.0191e+02  -4.1205e+00  -2.3383e+00  -4.0683e+00  -1.0043e+00  -1.3973e-02   3.6076e-02   5.2584e-07   6.1568e-02   3.2369e-02   1.9504e-01   6.9982e-02   9.4179e-01   8.4625e-02   9.9145e-01   8.3067e-02
+#&gt; 212:    1.0192e+02  -4.1204e+00  -2.3396e+00  -4.0662e+00  -1.0055e+00  -1.8011e-02   3.4746e-02   5.4375e-07   6.2747e-02   3.1588e-02   1.9405e-01   7.2360e-02   9.4525e-01   8.4466e-02   9.9581e-01   8.2952e-02
+#&gt; 213:    1.0192e+02  -4.1204e+00  -2.3407e+00  -4.0649e+00  -1.0066e+00  -2.1077e-02   3.4708e-02   5.5843e-07   6.1940e-02   3.0715e-02   1.9382e-01   7.4602e-02   9.4611e-01   8.4322e-02   9.9397e-01   8.2717e-02
+#&gt; 214:    1.0192e+02  -4.1204e+00  -2.3392e+00  -4.0648e+00  -1.0076e+00  -2.3417e-02   3.4282e-02   5.8157e-07   6.1893e-02   3.0158e-02   1.9322e-01   7.8942e-02   9.5250e-01   8.3922e-02   9.9723e-01   8.2793e-02
+#&gt; 215:    1.0192e+02  -4.1204e+00  -2.3410e+00  -4.0645e+00  -1.0087e+00  -2.1950e-02   3.5820e-02   6.0691e-07   6.2032e-02   2.9890e-02   1.9172e-01   8.3774e-02   9.5617e-01   8.3280e-02   1.0003e+00   8.2881e-02
+#&gt; 216:    1.0192e+02  -4.1203e+00  -2.3425e+00  -4.0628e+00  -1.0069e+00  -2.4268e-02   3.7597e-02   6.4187e-07   6.1733e-02   2.9353e-02   1.9092e-01   8.8150e-02   9.5834e-01   8.3091e-02   1.0027e+00   8.2753e-02
+#&gt; 217:    1.0192e+02  -4.1203e+00  -2.3439e+00  -4.0613e+00  -1.0064e+00  -2.4197e-02   3.9291e-02   6.5775e-07   6.2318e-02   2.8903e-02   1.8958e-01   9.0470e-02   9.5766e-01   8.3234e-02   1.0020e+00   8.2707e-02
+#&gt; 218:    1.0191e+02  -4.1203e+00  -2.3441e+00  -4.0619e+00  -1.0065e+00  -2.2460e-02   4.0043e-02   6.4921e-07   6.2280e-02   2.8349e-02   1.8800e-01   9.4476e-02   9.5499e-01   8.3416e-02   1.0036e+00   8.2628e-02
+#&gt; 219:    1.0191e+02  -4.1203e+00  -2.3437e+00  -4.0624e+00  -1.0066e+00  -1.9698e-02   3.9735e-02   6.3365e-07   6.2264e-02   2.7720e-02   1.8768e-01   9.7275e-02   9.4994e-01   8.3350e-02   1.0047e+00   8.2572e-02
+#&gt; 220:    1.0191e+02  -4.1203e+00  -2.3447e+00  -4.0630e+00  -1.0070e+00  -1.5871e-02   4.0198e-02   6.3507e-07   6.1981e-02   2.7259e-02   1.8786e-01   9.9168e-02   9.4781e-01   8.3355e-02   1.0046e+00   8.2752e-02
+#&gt; 221:    1.0191e+02  -4.1203e+00  -2.3459e+00  -4.0638e+00  -1.0069e+00  -1.4298e-02   4.0161e-02   6.2865e-07   6.2113e-02   2.7201e-02   1.8810e-01   1.0163e-01   9.4863e-01   8.3154e-02   1.0042e+00   8.2670e-02
+#&gt; 222:    1.0191e+02  -4.1203e+00  -2.3472e+00  -4.0646e+00  -1.0064e+00  -1.0921e-02   4.0310e-02   6.2450e-07   6.2436e-02   2.6979e-02   1.8736e-01   1.0306e-01   9.4914e-01   8.3081e-02   1.0050e+00   8.2757e-02
+#&gt; 223:    1.0191e+02  -4.1203e+00  -2.3478e+00  -4.0650e+00  -1.0063e+00  -1.1053e-02   3.9741e-02   6.1973e-07   6.2918e-02   2.6636e-02   1.8806e-01   1.0506e-01   9.4996e-01   8.2927e-02   1.0054e+00   8.2579e-02
+#&gt; 224:    1.0191e+02  -4.1203e+00  -2.3478e+00  -4.0653e+00  -1.0061e+00  -1.0324e-02   3.9480e-02   6.1421e-07   6.4180e-02   2.6403e-02   1.8833e-01   1.0733e-01   9.4750e-01   8.2697e-02   1.0033e+00   8.2517e-02
+#&gt; 225:    1.0191e+02  -4.1203e+00  -2.3479e+00  -4.0654e+00  -1.0060e+00  -1.0650e-02   3.9188e-02   6.0959e-07   6.3862e-02   2.6122e-02   1.8815e-01   1.0786e-01   9.4504e-01   8.2833e-02   1.0002e+00   8.2398e-02
+#&gt; 226:    1.0192e+02  -4.1204e+00  -2.3469e+00  -4.0657e+00  -1.0052e+00  -1.0205e-02   3.9129e-02   6.0577e-07   6.4045e-02   2.5875e-02   1.8762e-01   1.0921e-01   9.4663e-01   8.2599e-02   9.9857e-01   8.2472e-02
+#&gt; 227:    1.0192e+02  -4.1203e+00  -2.3467e+00  -4.0658e+00  -1.0053e+00  -1.0189e-02   3.8797e-02   6.0837e-07   6.5125e-02   2.5679e-02   1.8721e-01   1.1060e-01   9.4729e-01   8.2470e-02   9.9802e-01   8.2753e-02
+#&gt; 228:    1.0192e+02  -4.1204e+00  -2.3469e+00  -4.0657e+00  -1.0054e+00  -1.0575e-02   3.8741e-02   6.0738e-07   6.5467e-02   2.5448e-02   1.8548e-01   1.1134e-01   9.4840e-01   8.2580e-02   9.9829e-01   8.2888e-02
+#&gt; 229:    1.0192e+02  -4.1204e+00  -2.3479e+00  -4.0650e+00  -1.0056e+00  -1.1215e-02   3.9360e-02   6.0182e-07   6.4817e-02   2.5237e-02   1.8448e-01   1.1090e-01   9.5039e-01   8.2625e-02   9.9900e-01   8.2896e-02
+#&gt; 230:    1.0192e+02  -4.1204e+00  -2.3482e+00  -4.0652e+00  -1.0060e+00  -9.9775e-03   3.9501e-02   5.9385e-07   6.4132e-02   2.5093e-02   1.8510e-01   1.1122e-01   9.4938e-01   8.2763e-02   9.9961e-01   8.2886e-02
+#&gt; 231:    1.0192e+02  -4.1204e+00  -2.3479e+00  -4.0654e+00  -1.0070e+00  -8.9509e-03   3.9907e-02   5.9290e-07   6.3744e-02   2.4829e-02   1.8560e-01   1.1062e-01   9.4790e-01   8.2872e-02   1.0022e+00   8.2955e-02
+#&gt; 232:    1.0192e+02  -4.1204e+00  -2.3484e+00  -4.0657e+00  -1.0081e+00  -6.9066e-03   4.0738e-02   5.7862e-07   6.3242e-02   2.4729e-02   1.8626e-01   1.0975e-01   9.4866e-01   8.2846e-02   1.0036e+00   8.3065e-02
+#&gt; 233:    1.0191e+02  -4.1204e+00  -2.3487e+00  -4.0660e+00  -1.0080e+00  -5.1163e-03   4.0708e-02   5.7326e-07   6.2392e-02   2.4475e-02   1.8701e-01   1.0932e-01   9.4816e-01   8.2933e-02   1.0059e+00   8.3155e-02
+#&gt; 234:    1.0191e+02  -4.1204e+00  -2.3500e+00  -4.0660e+00  -1.0077e+00  -4.0637e-03   4.1065e-02   5.6885e-07   6.1938e-02   2.4418e-02   1.8673e-01   1.0923e-01   9.5001e-01   8.3005e-02   1.0080e+00   8.3207e-02
+#&gt; 235:    1.0191e+02  -4.1204e+00  -2.3526e+00  -4.0653e+00  -1.0074e+00  -3.6541e-03   4.1151e-02   5.6498e-07   6.2228e-02   2.4447e-02   1.8667e-01   1.0995e-01   9.5059e-01   8.3101e-02   1.0055e+00   8.3101e-02
+#&gt; 236:    1.0191e+02  -4.1204e+00  -2.3540e+00  -4.0648e+00  -1.0078e+00  -4.0127e-03   4.0966e-02   5.7047e-07   6.1779e-02   2.4457e-02   1.8777e-01   1.0971e-01   9.4919e-01   8.3203e-02   1.0044e+00   8.3078e-02
+#&gt; 237:    1.0191e+02  -4.1204e+00  -2.3528e+00  -4.0645e+00  -1.0078e+00  -4.4251e-03   4.0491e-02   5.6811e-07   6.1507e-02   2.4421e-02   1.8827e-01   1.1047e-01   9.4870e-01   8.3149e-02   1.0031e+00   8.3008e-02
+#&gt; 238:    1.0190e+02  -4.1204e+00  -2.3517e+00  -4.0647e+00  -1.0076e+00  -5.2540e-03   3.9988e-02   5.6832e-07   6.1612e-02   2.4262e-02   1.8801e-01   1.1019e-01   9.4737e-01   8.3172e-02   1.0037e+00   8.2959e-02
+#&gt; 239:    1.0190e+02  -4.1204e+00  -2.3509e+00  -4.0650e+00  -1.0089e+00  -5.1598e-03   3.9373e-02   5.6396e-07   6.1635e-02   2.4040e-02   1.8812e-01   1.1055e-01   9.4885e-01   8.3140e-02   1.0053e+00   8.2956e-02
+#&gt; 240:    1.0190e+02  -4.1204e+00  -2.3515e+00  -4.0643e+00  -1.0095e+00  -4.5817e-03   3.9031e-02   5.5929e-07   6.2233e-02   2.3840e-02   1.8766e-01   1.1014e-01   9.5018e-01   8.3172e-02   1.0066e+00   8.2937e-02
+#&gt; 241:    1.0190e+02  -4.1204e+00  -2.3524e+00  -4.0642e+00  -1.0097e+00  -3.9061e-03   3.8686e-02   5.5496e-07   6.3349e-02   2.3663e-02   1.8759e-01   1.1046e-01   9.4922e-01   8.3162e-02   1.0064e+00   8.2940e-02
+#&gt; 242:    1.0190e+02  -4.1204e+00  -2.3535e+00  -4.0642e+00  -1.0092e+00  -2.9411e-03   3.8674e-02   5.5359e-07   6.3930e-02   2.3604e-02   1.8742e-01   1.1027e-01   9.4748e-01   8.3177e-02   1.0052e+00   8.2955e-02
+#&gt; 243:    1.0190e+02  -4.1204e+00  -2.3551e+00  -4.0642e+00  -1.0089e+00  -1.6071e-03   3.8635e-02   5.4669e-07   6.4141e-02   2.3570e-02   1.8666e-01   1.1022e-01   9.4770e-01   8.3208e-02   1.0048e+00   8.2962e-02
+#&gt; 244:    1.0190e+02  -4.1204e+00  -2.3566e+00  -4.0645e+00  -1.0093e+00  -7.0474e-04   3.8502e-02   5.4194e-07   6.4399e-02   2.3591e-02   1.8627e-01   1.0938e-01   9.4615e-01   8.3402e-02   1.0043e+00   8.2891e-02
+#&gt; 245:    1.0189e+02  -4.1204e+00  -2.3575e+00  -4.0649e+00  -1.0093e+00   1.3351e-03   3.8372e-02   5.4266e-07   6.4935e-02   2.3511e-02   1.8609e-01   1.0840e-01   9.4586e-01   8.3393e-02   1.0041e+00   8.2835e-02
+#&gt; 246:    1.0189e+02  -4.1204e+00  -2.3595e+00  -4.0655e+00  -1.0085e+00   4.2316e-03   3.8487e-02   5.4393e-07   6.5284e-02   2.3457e-02   1.8581e-01   1.0811e-01   9.4656e-01   8.3372e-02   1.0036e+00   8.2746e-02
+#&gt; 247:    1.0189e+02  -4.1204e+00  -2.3608e+00  -4.0659e+00  -1.0081e+00   6.1314e-03   3.8249e-02   5.4752e-07   6.5440e-02   2.3455e-02   1.8584e-01   1.0706e-01   9.4795e-01   8.3330e-02   1.0025e+00   8.2710e-02
+#&gt; 248:    1.0189e+02  -4.1204e+00  -2.3617e+00  -4.0662e+00  -1.0084e+00   8.1978e-03   3.8017e-02   5.4713e-07   6.5853e-02   2.3439e-02   1.8637e-01   1.0634e-01   9.4748e-01   8.3377e-02   1.0016e+00   8.2677e-02
+#&gt; 249:    1.0189e+02  -4.1204e+00  -2.3633e+00  -4.0667e+00  -1.0085e+00   9.8011e-03   3.7934e-02   5.5069e-07   6.6442e-02   2.3533e-02   1.8652e-01   1.0606e-01   9.4761e-01   8.3449e-02   1.0009e+00   8.2712e-02
+#&gt; 250:    1.0189e+02  -4.1204e+00  -2.3644e+00  -4.0668e+00  -1.0087e+00   1.0992e-02   3.8199e-02   5.5486e-07   6.6746e-02   2.3638e-02   1.8739e-01   1.0611e-01   9.4838e-01   8.3442e-02   9.9958e-01   8.2692e-02
+#&gt; 251:    1.0189e+02  -4.1204e+00  -2.3644e+00  -4.0671e+00  -1.0097e+00   1.2215e-02   3.8648e-02   5.5448e-07   6.6916e-02   2.3592e-02   1.8753e-01   1.0607e-01   9.4773e-01   8.3511e-02   9.9919e-01   8.2701e-02
+#&gt; 252:    1.0189e+02  -4.1204e+00  -2.3645e+00  -4.0671e+00  -1.0100e+00   1.2881e-02   3.8792e-02   5.5615e-07   6.7323e-02   2.3559e-02   1.8811e-01   1.0641e-01   9.4665e-01   8.3575e-02   9.9809e-01   8.2743e-02
+#&gt; 253:    1.0189e+02  -4.1204e+00  -2.3646e+00  -4.0675e+00  -1.0100e+00   1.3605e-02   3.9013e-02   5.5568e-07   6.7625e-02   2.3432e-02   1.8825e-01   1.0688e-01   9.4424e-01   8.3598e-02   9.9825e-01   8.2702e-02
+#&gt; 254:    1.0189e+02  -4.1204e+00  -2.3642e+00  -4.0677e+00  -1.0101e+00   1.3119e-02   3.8838e-02   5.5231e-07   6.7802e-02   2.3429e-02   1.8849e-01   1.0680e-01   9.4281e-01   8.3706e-02   9.9829e-01   8.2631e-02
+#&gt; 255:    1.0189e+02  -4.1204e+00  -2.3627e+00  -4.0679e+00  -1.0104e+00   1.2490e-02   3.8574e-02   5.4955e-07   6.8395e-02   2.3368e-02   1.8890e-01   1.0661e-01   9.4101e-01   8.3756e-02   9.9798e-01   8.2674e-02
+#&gt; 256:    1.0189e+02  -4.1204e+00  -2.3615e+00  -4.0677e+00  -1.0102e+00   1.1525e-02   3.8502e-02   5.4764e-07   6.8824e-02   2.3405e-02   1.8912e-01   1.0649e-01   9.4109e-01   8.3709e-02   9.9811e-01   8.2698e-02
+#&gt; 257:    1.0189e+02  -4.1204e+00  -2.3604e+00  -4.0673e+00  -1.0104e+00   1.0381e-02   3.8286e-02   5.4694e-07   6.9020e-02   2.3338e-02   1.8925e-01   1.0614e-01   9.4075e-01   8.3695e-02   9.9738e-01   8.2689e-02
+#&gt; 258:    1.0189e+02  -4.1204e+00  -2.3591e+00  -4.0670e+00  -1.0103e+00   8.9559e-03   3.7972e-02   5.4665e-07   6.9077e-02   2.3267e-02   1.8919e-01   1.0590e-01   9.4089e-01   8.3618e-02   9.9742e-01   8.2681e-02
+#&gt; 259:    1.0189e+02  -4.1204e+00  -2.3585e+00  -4.0669e+00  -1.0099e+00   8.6011e-03   3.7874e-02   5.4788e-07   6.9455e-02   2.3264e-02   1.8885e-01   1.0519e-01   9.3952e-01   8.3583e-02   9.9610e-01   8.2650e-02
+#&gt; 260:    1.0189e+02  -4.1204e+00  -2.3584e+00  -4.0666e+00  -1.0098e+00   8.0471e-03   3.7771e-02   5.5294e-07   7.0269e-02   2.3292e-02   1.8877e-01   1.0442e-01   9.3898e-01   8.3519e-02   9.9504e-01   8.2641e-02
+#&gt; 261:    1.0189e+02  -4.1204e+00  -2.3583e+00  -4.0664e+00  -1.0100e+00   7.9344e-03   3.7597e-02   5.5650e-07   7.1087e-02   2.3370e-02   1.8867e-01   1.0399e-01   9.3810e-01   8.3488e-02   9.9419e-01   8.2673e-02
+#&gt; 262:    1.0189e+02  -4.1204e+00  -2.3575e+00  -4.0662e+00  -1.0106e+00   7.2123e-03   3.7203e-02   5.5375e-07   7.1794e-02   2.3393e-02   1.8855e-01   1.0356e-01   9.3773e-01   8.3458e-02   9.9406e-01   8.2739e-02
+#&gt; 263:    1.0189e+02  -4.1204e+00  -2.3564e+00  -4.0659e+00  -1.0112e+00   6.6044e-03   3.6977e-02   5.5306e-07   7.2290e-02   2.3475e-02   1.8847e-01   1.0316e-01   9.3744e-01   8.3383e-02   9.9341e-01   8.2818e-02
+#&gt; 264:    1.0189e+02  -4.1204e+00  -2.3549e+00  -4.0657e+00  -1.0118e+00   6.0119e-03   3.6749e-02   5.5152e-07   7.2896e-02   2.3530e-02   1.8849e-01   1.0277e-01   9.3658e-01   8.3443e-02   9.9248e-01   8.2877e-02
+#&gt; 265:    1.0189e+02  -4.1204e+00  -2.3545e+00  -4.0655e+00  -1.0121e+00   5.6547e-03   3.6562e-02   5.4816e-07   7.3238e-02   2.3560e-02   1.8863e-01   1.0269e-01   9.3597e-01   8.3434e-02   9.9139e-01   8.2879e-02
+#&gt; 266:    1.0189e+02  -4.1204e+00  -2.3545e+00  -4.0651e+00  -1.0121e+00   5.0995e-03   3.6357e-02   5.4458e-07   7.3522e-02   2.3561e-02   1.8883e-01   1.0270e-01   9.3607e-01   8.3407e-02   9.9133e-01   8.2857e-02
+#&gt; 267:    1.0189e+02  -4.1204e+00  -2.3541e+00  -4.0648e+00  -1.0122e+00   4.0105e-03   3.6306e-02   5.4160e-07   7.3833e-02   2.3499e-02   1.8889e-01   1.0317e-01   9.3624e-01   8.3359e-02   9.9151e-01   8.2865e-02
+#&gt; 268:    1.0189e+02  -4.1204e+00  -2.3530e+00  -4.0646e+00  -1.0122e+00   3.0925e-03   3.6248e-02   5.3845e-07   7.4663e-02   2.3413e-02   1.8895e-01   1.0371e-01   9.3624e-01   8.3277e-02   9.9210e-01   8.2909e-02
+#&gt; 269:    1.0189e+02  -4.1204e+00  -2.3518e+00  -4.0643e+00  -1.0123e+00   2.0507e-03   3.6181e-02   5.3602e-07   7.5442e-02   2.3291e-02   1.8886e-01   1.0397e-01   9.3581e-01   8.3260e-02   9.9238e-01   8.2898e-02
+#&gt; 270:    1.0189e+02  -4.1204e+00  -2.3513e+00  -4.0640e+00  -1.0127e+00   1.3309e-03   3.5900e-02   5.3234e-07   7.6677e-02   2.3220e-02   1.8860e-01   1.0367e-01   9.3573e-01   8.3250e-02   9.9169e-01   8.2904e-02
+#&gt; 271:    1.0189e+02  -4.1204e+00  -2.3514e+00  -4.0637e+00  -1.0129e+00   1.1237e-03   3.5608e-02   5.3092e-07   7.7065e-02   2.3102e-02   1.8826e-01   1.0384e-01   9.3645e-01   8.3228e-02   9.9173e-01   8.2896e-02
+#&gt; 272:    1.0189e+02  -4.1204e+00  -2.3510e+00  -4.0639e+00  -1.0134e+00   9.7855e-04   3.5328e-02   5.3100e-07   7.7173e-02   2.3014e-02   1.8817e-01   1.0367e-01   9.3538e-01   8.3266e-02   9.9139e-01   8.2943e-02
+#&gt; 273:    1.0189e+02  -4.1204e+00  -2.3501e+00  -4.0643e+00  -1.0133e+00   1.1275e-03   3.5187e-02   5.3298e-07   7.7467e-02   2.2923e-02   1.8793e-01   1.0344e-01   9.3474e-01   8.3194e-02   9.9249e-01   8.2973e-02
+#&gt; 274:    1.0189e+02  -4.1204e+00  -2.3498e+00  -4.0643e+00  -1.0134e+00   1.4524e-03   3.4996e-02   5.3407e-07   7.7929e-02   2.2819e-02   1.8837e-01   1.0316e-01   9.3399e-01   8.3168e-02   9.9307e-01   8.2981e-02
+#&gt; 275:    1.0189e+02  -4.1204e+00  -2.3500e+00  -4.0641e+00  -1.0136e+00   1.3605e-03   3.4786e-02   5.3269e-07   7.8177e-02   2.2747e-02   1.8855e-01   1.0305e-01   9.3319e-01   8.3205e-02   9.9277e-01   8.2938e-02
+#&gt; 276:    1.0189e+02  -4.1204e+00  -2.3504e+00  -4.0641e+00  -1.0136e+00   1.5273e-03   3.4581e-02   5.3172e-07   7.8495e-02   2.2764e-02   1.8824e-01   1.0297e-01   9.3267e-01   8.3223e-02   9.9204e-01   8.2884e-02
+#&gt; 277:    1.0189e+02  -4.1204e+00  -2.3506e+00  -4.0643e+00  -1.0133e+00   1.2961e-03   3.4373e-02   5.2917e-07   7.8721e-02   2.2791e-02   1.8801e-01   1.0288e-01   9.3253e-01   8.3185e-02   9.9192e-01   8.2854e-02
+#&gt; 278:    1.0189e+02  -4.1204e+00  -2.3508e+00  -4.0643e+00  -1.0129e+00   1.1750e-03   3.4396e-02   5.2693e-07   7.8999e-02   2.2787e-02   1.8793e-01   1.0278e-01   9.3279e-01   8.3113e-02   9.9144e-01   8.2856e-02
+#&gt; 279:    1.0189e+02  -4.1204e+00  -2.3507e+00  -4.0642e+00  -1.0126e+00   1.2755e-03   3.4381e-02   5.2405e-07   7.9351e-02   2.2804e-02   1.8779e-01   1.0255e-01   9.3319e-01   8.3049e-02   9.9099e-01   8.2875e-02
+#&gt; 280:    1.0189e+02  -4.1204e+00  -2.3507e+00  -4.0641e+00  -1.0127e+00   6.3408e-04   3.4519e-02   5.2180e-07   7.9825e-02   2.2801e-02   1.8775e-01   1.0292e-01   9.3349e-01   8.2970e-02   9.9076e-01   8.2918e-02
+#&gt; 281:    1.0189e+02  -4.1204e+00  -2.3508e+00  -4.0639e+00  -1.0124e+00   6.2438e-04   3.4782e-02   5.1859e-07   8.0328e-02   2.2816e-02   1.8757e-01   1.0299e-01   9.3299e-01   8.3025e-02   9.9050e-01   8.2897e-02
+#&gt; 282:    1.0189e+02  -4.1205e+00  -2.3511e+00  -4.0641e+00  -1.0122e+00   1.1770e-03   3.4754e-02   5.1798e-07   8.0649e-02   2.2836e-02   1.8766e-01   1.0297e-01   9.3351e-01   8.2989e-02   9.9171e-01   8.2893e-02
+#&gt; 283:    1.0189e+02  -4.1205e+00  -2.3519e+00  -4.0644e+00  -1.0120e+00   2.1716e-03   3.4711e-02   5.1567e-07   8.0910e-02   2.2836e-02   1.8774e-01   1.0270e-01   9.3288e-01   8.3029e-02   9.9246e-01   8.2853e-02
+#&gt; 284:    1.0189e+02  -4.1205e+00  -2.3524e+00  -4.0647e+00  -1.0115e+00   2.6623e-03   3.4646e-02   5.1350e-07   8.1153e-02   2.2950e-02   1.8775e-01   1.0277e-01   9.3238e-01   8.2990e-02   9.9212e-01   8.2836e-02
+#&gt; 285:    1.0189e+02  -4.1205e+00  -2.3531e+00  -4.0649e+00  -1.0116e+00   3.7830e-03   3.4626e-02   5.1216e-07   8.1058e-02   2.3007e-02   1.8782e-01   1.0270e-01   9.3232e-01   8.3017e-02   9.9094e-01   8.2829e-02
+#&gt; 286:    1.0189e+02  -4.1205e+00  -2.3539e+00  -4.0651e+00  -1.0111e+00   5.1752e-03   3.4599e-02   5.0989e-07   8.0970e-02   2.3004e-02   1.8757e-01   1.0254e-01   9.3280e-01   8.3006e-02   9.9130e-01   8.2818e-02
+#&gt; 287:    1.0189e+02  -4.1205e+00  -2.3541e+00  -4.0654e+00  -1.0112e+00   6.3747e-03   3.4592e-02   5.0930e-07   8.1117e-02   2.2959e-02   1.8756e-01   1.0222e-01   9.3212e-01   8.3146e-02   9.9183e-01   8.2863e-02
+#&gt; 288:    1.0189e+02  -4.1205e+00  -2.3540e+00  -4.0656e+00  -1.0115e+00   6.5668e-03   3.4598e-02   5.0976e-07   8.1125e-02   2.2895e-02   1.8782e-01   1.0183e-01   9.3310e-01   8.3169e-02   9.9404e-01   8.2836e-02
+#&gt; 289:    1.0189e+02  -4.1205e+00  -2.3539e+00  -4.0658e+00  -1.0119e+00   7.3521e-03   3.4525e-02   5.1097e-07   8.1097e-02   2.2869e-02   1.8753e-01   1.0126e-01   9.3336e-01   8.3244e-02   9.9435e-01   8.2833e-02
+#&gt; 290:    1.0189e+02  -4.1205e+00  -2.3539e+00  -4.0659e+00  -1.0122e+00   7.5226e-03   3.4377e-02   5.0846e-07   8.1212e-02   2.2831e-02   1.8724e-01   1.0073e-01   9.3292e-01   8.3261e-02   9.9415e-01   8.2837e-02
+#&gt; 291:    1.0189e+02  -4.1205e+00  -2.3536e+00  -4.0659e+00  -1.0122e+00   7.2889e-03   3.4263e-02   5.0823e-07   8.1182e-02   2.2801e-02   1.8711e-01   1.0056e-01   9.3309e-01   8.3300e-02   9.9427e-01   8.2805e-02
+#&gt; 292:    1.0189e+02  -4.1205e+00  -2.3531e+00  -4.0659e+00  -1.0123e+00   7.1827e-03   3.4146e-02   5.0825e-07   8.1696e-02   2.2760e-02   1.8703e-01   1.0039e-01   9.3324e-01   8.3306e-02   9.9379e-01   8.2784e-02
+#&gt; 293:    1.0189e+02  -4.1205e+00  -2.3528e+00  -4.0660e+00  -1.0125e+00   7.7142e-03   3.4126e-02   5.0971e-07   8.2026e-02   2.2705e-02   1.8721e-01   1.0036e-01   9.3316e-01   8.3316e-02   9.9357e-01   8.2756e-02
+#&gt; 294:    1.0188e+02  -4.1204e+00  -2.3529e+00  -4.0663e+00  -1.0126e+00   8.5146e-03   3.4314e-02   5.0823e-07   8.2197e-02   2.2608e-02   1.8743e-01   1.0009e-01   9.3356e-01   8.3308e-02   9.9367e-01   8.2719e-02
+#&gt; 295:    1.0188e+02  -4.1204e+00  -2.3532e+00  -4.0666e+00  -1.0123e+00   9.2199e-03   3.4472e-02   5.0839e-07   8.2550e-02   2.2529e-02   1.8745e-01   9.9731e-02   9.3393e-01   8.3255e-02   9.9373e-01   8.2686e-02
+#&gt; 296:    1.0188e+02  -4.1204e+00  -2.3537e+00  -4.0667e+00  -1.0121e+00   9.7869e-03   3.4678e-02   5.0983e-07   8.3059e-02   2.2497e-02   1.8729e-01   9.9260e-02   9.3395e-01   8.3198e-02   9.9300e-01   8.2681e-02
+#&gt; 297:    1.0188e+02  -4.1204e+00  -2.3540e+00  -4.0670e+00  -1.0118e+00   1.0166e-02   3.4957e-02   5.1049e-07   8.3080e-02   2.2448e-02   1.8710e-01   9.8969e-02   9.3321e-01   8.3178e-02   9.9255e-01   8.2663e-02
+#&gt; 298:    1.0188e+02  -4.1204e+00  -2.3544e+00  -4.0673e+00  -1.0117e+00   1.0649e-02   3.5259e-02   5.1103e-07   8.3179e-02   2.2383e-02   1.8704e-01   9.8442e-02   9.3227e-01   8.3199e-02   9.9266e-01   8.2646e-02
+#&gt; 299:    1.0188e+02  -4.1204e+00  -2.3542e+00  -4.0676e+00  -1.0117e+00   1.0927e-02   3.5438e-02   5.1128e-07   8.3068e-02   2.2378e-02   1.8699e-01   9.8203e-02   9.3263e-01   8.3138e-02   9.9353e-01   8.2671e-02
+#&gt; 300:    1.0188e+02  -4.1204e+00  -2.3544e+00  -4.0678e+00  -1.0116e+00   1.1083e-02   3.5694e-02   5.1107e-07   8.2896e-02   2.2344e-02   1.8733e-01   9.7775e-02   9.3179e-01   8.3124e-02   9.9379e-01   8.2657e-02
+#&gt; 301:    1.0188e+02  -4.1204e+00  -2.3542e+00  -4.0680e+00  -1.0115e+00   1.0992e-02   3.5896e-02   5.1262e-07   8.2816e-02   2.2349e-02   1.8753e-01   9.7431e-02   9.3209e-01   8.3086e-02   9.9388e-01   8.2674e-02
+#&gt; 302:    1.0188e+02  -4.1204e+00  -2.3540e+00  -4.0681e+00  -1.0113e+00   1.0410e-02   3.6050e-02   5.1256e-07   8.2817e-02   2.2308e-02   1.8734e-01   9.7153e-02   9.3221e-01   8.3073e-02   9.9402e-01   8.2670e-02
+#&gt; 303:    1.0188e+02  -4.1204e+00  -2.3540e+00  -4.0681e+00  -1.0112e+00   1.0301e-02   3.6150e-02   5.1127e-07   8.2826e-02   2.2325e-02   1.8730e-01   9.6656e-02   9.3192e-01   8.3040e-02   9.9393e-01   8.2665e-02
+#&gt; 304:    1.0188e+02  -4.1204e+00  -2.3536e+00  -4.0681e+00  -1.0113e+00   1.0235e-02   3.6393e-02   5.1176e-07   8.2606e-02   2.2353e-02   1.8724e-01   9.6171e-02   9.3161e-01   8.3068e-02   9.9361e-01   8.2698e-02
+#&gt; 305:    1.0188e+02  -4.1204e+00  -2.3533e+00  -4.0683e+00  -1.0112e+00   9.9655e-03   3.6369e-02   5.1442e-07   8.2520e-02   2.2378e-02   1.8707e-01   9.5656e-02   9.3113e-01   8.3109e-02   9.9338e-01   8.2731e-02
+#&gt; 306:    1.0188e+02  -4.1204e+00  -2.3531e+00  -4.0684e+00  -1.0110e+00   9.9701e-03   3.6346e-02   5.1546e-07   8.2789e-02   2.2360e-02   1.8702e-01   9.5116e-02   9.3102e-01   8.3065e-02   9.9405e-01   8.2761e-02
+#&gt; 307:    1.0188e+02  -4.1204e+00  -2.3530e+00  -4.0684e+00  -1.0112e+00   1.0194e-02   3.6300e-02   5.1196e-07   8.3035e-02   2.2381e-02   1.8704e-01   9.4760e-02   9.3082e-01   8.3003e-02   9.9410e-01   8.2779e-02
+#&gt; 308:    1.0189e+02  -4.1204e+00  -2.3530e+00  -4.0685e+00  -1.0109e+00   9.9531e-03   3.6400e-02   5.1140e-07   8.3511e-02   2.2334e-02   1.8726e-01   9.4494e-02   9.3151e-01   8.2910e-02   9.9484e-01   8.2760e-02
+#&gt; 309:    1.0188e+02  -4.1204e+00  -2.3530e+00  -4.0685e+00  -1.0107e+00   1.0089e-02   3.6382e-02   5.1081e-07   8.3917e-02   2.2276e-02   1.8728e-01   9.4285e-02   9.3133e-01   8.2875e-02   9.9545e-01   8.2757e-02
+#&gt; 310:    1.0188e+02  -4.1204e+00  -2.3533e+00  -4.0685e+00  -1.0105e+00   1.0805e-02   3.6375e-02   5.1041e-07   8.4245e-02   2.2246e-02   1.8753e-01   9.3894e-02   9.3052e-01   8.2899e-02   9.9500e-01   8.2743e-02
+#&gt; 311:    1.0188e+02  -4.1204e+00  -2.3534e+00  -4.0685e+00  -1.0103e+00   1.1449e-02   3.6311e-02   5.0884e-07   8.4434e-02   2.2231e-02   1.8783e-01   9.3542e-02   9.3039e-01   8.2864e-02   9.9458e-01   8.2733e-02
+#&gt; 312:    1.0188e+02  -4.1204e+00  -2.3535e+00  -4.0685e+00  -1.0102e+00   1.2173e-02   3.6373e-02   5.0821e-07   8.4730e-02   2.2176e-02   1.8769e-01   9.3317e-02   9.2982e-01   8.2916e-02   9.9438e-01   8.2740e-02
+#&gt; 313:    1.0188e+02  -4.1204e+00  -2.3533e+00  -4.0688e+00  -1.0103e+00   1.2812e-02   3.6558e-02   5.0751e-07   8.5211e-02   2.2131e-02   1.8754e-01   9.3387e-02   9.2962e-01   8.2892e-02   9.9458e-01   8.2741e-02
+#&gt; 314:    1.0188e+02  -4.1204e+00  -2.3534e+00  -4.0690e+00  -1.0103e+00   1.3241e-02   3.6680e-02   5.0887e-07   8.5667e-02   2.2079e-02   1.8772e-01   9.3442e-02   9.2941e-01   8.2947e-02   9.9511e-01   8.2743e-02
+#&gt; 315:    1.0188e+02  -4.1204e+00  -2.3534e+00  -4.0691e+00  -1.0104e+00   1.3699e-02   3.6924e-02   5.0965e-07   8.5865e-02   2.2028e-02   1.8766e-01   9.3264e-02   9.2904e-01   8.2986e-02   9.9543e-01   8.2763e-02
+#&gt; 316:    1.0188e+02  -4.1204e+00  -2.3533e+00  -4.0693e+00  -1.0103e+00   1.4121e-02   3.7218e-02   5.1041e-07   8.6216e-02   2.2076e-02   1.8773e-01   9.3035e-02   9.2917e-01   8.3013e-02   9.9486e-01   8.2782e-02
+#&gt; 317:    1.0188e+02  -4.1204e+00  -2.3533e+00  -4.0694e+00  -1.0102e+00   1.4588e-02   3.7304e-02   5.0994e-07   8.6513e-02   2.2128e-02   1.8773e-01   9.2766e-02   9.2943e-01   8.3025e-02   9.9441e-01   8.2779e-02
+#&gt; 318:    1.0188e+02  -4.1204e+00  -2.3534e+00  -4.0693e+00  -1.0101e+00   1.4714e-02   3.7538e-02   5.0773e-07   8.6801e-02   2.2128e-02   1.8767e-01   9.2698e-02   9.2907e-01   8.3052e-02   9.9378e-01   8.2780e-02
+#&gt; 319:    1.0187e+02  -4.1204e+00  -2.3533e+00  -4.0692e+00  -1.0099e+00   1.4582e-02   3.7563e-02   5.0550e-07   8.6669e-02   2.2135e-02   1.8775e-01   9.2604e-02   9.2925e-01   8.3042e-02   9.9356e-01   8.2773e-02
+#&gt; 320:    1.0187e+02  -4.1204e+00  -2.3535e+00  -4.0690e+00  -1.0102e+00   1.4511e-02   3.7580e-02   5.0281e-07   8.6617e-02   2.2121e-02   1.8780e-01   9.2508e-02   9.3001e-01   8.3032e-02   9.9322e-01   8.2780e-02
+#&gt; 321:    1.0187e+02  -4.1204e+00  -2.3534e+00  -4.0688e+00  -1.0100e+00   1.4288e-02   3.7624e-02   5.0172e-07   8.6311e-02   2.2115e-02   1.8783e-01   9.2445e-02   9.3011e-01   8.3054e-02   9.9288e-01   8.2772e-02
+#&gt; 322:    1.0187e+02  -4.1204e+00  -2.3532e+00  -4.0687e+00  -1.0098e+00   1.3834e-02   3.7497e-02   5.0086e-07   8.6187e-02   2.2111e-02   1.8791e-01   9.2699e-02   9.3037e-01   8.3069e-02   9.9284e-01   8.2773e-02
+#&gt; 323:    1.0187e+02  -4.1204e+00  -2.3524e+00  -4.0683e+00  -1.0097e+00   1.2977e-02   3.7420e-02   4.9925e-07   8.6082e-02   2.2084e-02   1.8818e-01   9.3123e-02   9.3036e-01   8.3012e-02   9.9265e-01   8.2813e-02
+#&gt; 324:    1.0187e+02  -4.1204e+00  -2.3523e+00  -4.0682e+00  -1.0096e+00   1.2679e-02   3.7420e-02   4.9836e-07   8.5721e-02   2.2071e-02   1.8829e-01   9.3535e-02   9.3062e-01   8.3011e-02   9.9241e-01   8.2827e-02
+#&gt; 325:    1.0187e+02  -4.1204e+00  -2.3520e+00  -4.0680e+00  -1.0094e+00   1.2196e-02   3.7298e-02   4.9735e-07   8.5411e-02   2.2028e-02   1.8848e-01   9.3706e-02   9.3043e-01   8.3020e-02   9.9256e-01   8.2826e-02
+#&gt; 326:    1.0187e+02  -4.1204e+00  -2.3517e+00  -4.0678e+00  -1.0091e+00   1.1924e-02   3.7185e-02   4.9661e-07   8.5453e-02   2.1983e-02   1.8830e-01   9.3688e-02   9.3050e-01   8.2996e-02   9.9284e-01   8.2806e-02
+#&gt; 327:    1.0187e+02  -4.1204e+00  -2.3516e+00  -4.0677e+00  -1.0090e+00   1.1449e-02   3.7155e-02   4.9755e-07   8.5761e-02   2.1967e-02   1.8819e-01   9.3936e-02   9.3052e-01   8.2912e-02   9.9245e-01   8.2806e-02
+#&gt; 328:    1.0187e+02  -4.1204e+00  -2.3514e+00  -4.0675e+00  -1.0089e+00   1.0758e-02   3.7146e-02   4.9892e-07   8.6019e-02   2.1971e-02   1.8806e-01   9.4361e-02   9.3070e-01   8.2833e-02   9.9182e-01   8.2840e-02
+#&gt; 329:    1.0187e+02  -4.1204e+00  -2.3515e+00  -4.0672e+00  -1.0087e+00   1.0256e-02   3.7342e-02   5.0019e-07   8.5965e-02   2.1989e-02   1.8796e-01   9.4614e-02   9.3067e-01   8.2818e-02   9.9159e-01   8.2858e-02
+#&gt; 330:    1.0187e+02  -4.1204e+00  -2.3520e+00  -4.0670e+00  -1.0086e+00   1.0021e-02   3.7376e-02   4.9911e-07   8.6124e-02   2.1978e-02   1.8796e-01   9.4836e-02   9.3036e-01   8.2819e-02   9.9148e-01   8.2866e-02
+#&gt; 331:    1.0187e+02  -4.1204e+00  -2.3521e+00  -4.0668e+00  -1.0086e+00   9.5790e-03   3.7296e-02   4.9753e-07   8.6122e-02   2.1951e-02   1.8782e-01   9.5042e-02   9.3064e-01   8.2783e-02   9.9196e-01   8.2863e-02
+#&gt; 332:    1.0187e+02  -4.1204e+00  -2.3523e+00  -4.0667e+00  -1.0085e+00   9.2971e-03   3.7221e-02   4.9729e-07   8.6215e-02   2.1952e-02   1.8787e-01   9.5082e-02   9.3103e-01   8.2782e-02   9.9224e-01   8.2861e-02
+#&gt; 333:    1.0187e+02  -4.1204e+00  -2.3524e+00  -4.0667e+00  -1.0084e+00   9.2591e-03   3.7097e-02   4.9556e-07   8.6302e-02   2.1922e-02   1.8792e-01   9.5155e-02   9.3058e-01   8.2798e-02   9.9202e-01   8.2831e-02
+#&gt; 334:    1.0187e+02  -4.1204e+00  -2.3528e+00  -4.0667e+00  -1.0082e+00   9.5799e-03   3.6997e-02   4.9398e-07   8.6409e-02   2.1911e-02   1.8792e-01   9.5231e-02   9.3035e-01   8.2810e-02   9.9157e-01   8.2803e-02
+#&gt; 335:    1.0187e+02  -4.1204e+00  -2.3529e+00  -4.0667e+00  -1.0080e+00   9.5724e-03   3.6912e-02   4.9206e-07   8.6310e-02   2.1923e-02   1.8791e-01   9.5379e-02   9.3054e-01   8.2759e-02   9.9143e-01   8.2776e-02
+#&gt; 336:    1.0187e+02  -4.1204e+00  -2.3525e+00  -4.0667e+00  -1.0082e+00   9.5794e-03   3.6983e-02   4.9255e-07   8.6282e-02   2.1882e-02   1.8789e-01   9.5422e-02   9.3064e-01   8.2705e-02   9.9138e-01   8.2778e-02
+#&gt; 337:    1.0187e+02  -4.1204e+00  -2.3525e+00  -4.0669e+00  -1.0083e+00   1.0008e-02   3.6943e-02   4.9278e-07   8.6483e-02   2.1844e-02   1.8794e-01   9.5240e-02   9.2981e-01   8.2753e-02   9.9100e-01   8.2774e-02
+#&gt; 338:    1.0187e+02  -4.1204e+00  -2.3525e+00  -4.0669e+00  -1.0084e+00   1.0297e-02   3.6869e-02   4.9309e-07   8.6547e-02   2.1803e-02   1.8808e-01   9.5094e-02   9.2978e-01   8.2764e-02   9.9113e-01   8.2759e-02
+#&gt; 339:    1.0187e+02  -4.1204e+00  -2.3528e+00  -4.0669e+00  -1.0083e+00   1.0465e-02   3.6822e-02   4.9257e-07   8.6779e-02   2.1769e-02   1.8813e-01   9.5062e-02   9.3020e-01   8.2702e-02   9.9135e-01   8.2750e-02
+#&gt; 340:    1.0187e+02  -4.1204e+00  -2.3531e+00  -4.0668e+00  -1.0083e+00   1.0321e-02   3.6733e-02   4.9228e-07   8.7033e-02   2.1721e-02   1.8827e-01   9.4862e-02   9.3062e-01   8.2698e-02   9.9195e-01   8.2729e-02
+#&gt; 341:    1.0187e+02  -4.1204e+00  -2.3531e+00  -4.0670e+00  -1.0085e+00   1.0501e-02   3.6671e-02   4.9236e-07   8.7297e-02   2.1733e-02   1.8820e-01   9.4558e-02   9.3121e-01   8.2677e-02   9.9238e-01   8.2713e-02
+#&gt; 342:    1.0187e+02  -4.1204e+00  -2.3534e+00  -4.0670e+00  -1.0085e+00   1.0818e-02   3.6715e-02   4.9084e-07   8.7450e-02   2.1726e-02   1.8801e-01   9.4252e-02   9.3160e-01   8.2657e-02   9.9232e-01   8.2708e-02
+#&gt; 343:    1.0187e+02  -4.1204e+00  -2.3535e+00  -4.0670e+00  -1.0087e+00   1.1046e-02   3.6784e-02   4.8872e-07   8.7718e-02   2.1718e-02   1.8799e-01   9.3887e-02   9.3187e-01   8.2645e-02   9.9225e-01   8.2722e-02
+#&gt; 344:    1.0187e+02  -4.1204e+00  -2.3535e+00  -4.0670e+00  -1.0087e+00   1.0652e-02   3.6736e-02   4.8852e-07   8.7725e-02   2.1730e-02   1.8792e-01   9.3731e-02   9.3202e-01   8.2618e-02   9.9218e-01   8.2712e-02
+#&gt; 345:    1.0187e+02  -4.1204e+00  -2.3536e+00  -4.0669e+00  -1.0090e+00   1.0445e-02   3.6714e-02   4.8690e-07   8.7782e-02   2.1751e-02   1.8798e-01   9.3450e-02   9.3223e-01   8.2582e-02   9.9239e-01   8.2706e-02
+#&gt; 346:    1.0187e+02  -4.1204e+00  -2.3536e+00  -4.0668e+00  -1.0089e+00   1.0173e-02   3.6743e-02   4.8656e-07   8.7733e-02   2.1810e-02   1.8814e-01   9.3151e-02   9.3257e-01   8.2575e-02   9.9181e-01   8.2708e-02
+#&gt; 347:    1.0187e+02  -4.1205e+00  -2.3532e+00  -4.0668e+00  -1.0089e+00   9.9457e-03   3.6808e-02   4.8756e-07   8.7948e-02   2.1819e-02   1.8813e-01   9.3040e-02   9.3255e-01   8.2599e-02   9.9124e-01   8.2727e-02
+#&gt; 348:    1.0187e+02  -4.1205e+00  -2.3534e+00  -4.0667e+00  -1.0090e+00   9.8498e-03   3.6967e-02   4.8883e-07   8.7998e-02   2.1841e-02   1.8820e-01   9.3180e-02   9.3259e-01   8.2612e-02   9.9148e-01   8.2750e-02
+#&gt; 349:    1.0187e+02  -4.1205e+00  -2.3535e+00  -4.0668e+00  -1.0091e+00   9.6211e-03   3.6891e-02   4.8867e-07   8.8006e-02   2.1930e-02   1.8819e-01   9.3390e-02   9.3232e-01   8.2612e-02   9.9073e-01   8.2738e-02
+#&gt; 350:    1.0187e+02  -4.1205e+00  -2.3534e+00  -4.0669e+00  -1.0090e+00   9.7176e-03   3.6813e-02   4.8925e-07   8.7923e-02   2.1964e-02   1.8820e-01   9.3434e-02   9.3224e-01   8.2600e-02   9.9031e-01   8.2734e-02
+#&gt; 351:    1.0187e+02  -4.1204e+00  -2.3535e+00  -4.0669e+00  -1.0090e+00   9.6652e-03   3.6769e-02   4.8873e-07   8.7985e-02   2.2046e-02   1.8814e-01   9.3529e-02   9.3220e-01   8.2558e-02   9.8978e-01   8.2728e-02
+#&gt; 352:    1.0187e+02  -4.1204e+00  -2.3536e+00  -4.0669e+00  -1.0089e+00   9.8745e-03   3.6732e-02   4.8969e-07   8.8016e-02   2.2094e-02   1.8799e-01   9.3644e-02   9.3168e-01   8.2577e-02   9.8913e-01   8.2722e-02
+#&gt; 353:    1.0187e+02  -4.1204e+00  -2.3537e+00  -4.0669e+00  -1.0088e+00   9.7530e-03   3.6700e-02   4.9008e-07   8.7949e-02   2.2116e-02   1.8798e-01   9.3769e-02   9.3165e-01   8.2559e-02   9.8871e-01   8.2711e-02
+#&gt; 354:    1.0187e+02  -4.1204e+00  -2.3538e+00  -4.0667e+00  -1.0089e+00   9.4103e-03   3.6653e-02   4.9045e-07   8.7894e-02   2.2118e-02   1.8793e-01   9.3872e-02   9.3188e-01   8.2551e-02   9.8887e-01   8.2692e-02
+#&gt; 355:    1.0187e+02  -4.1204e+00  -2.3540e+00  -4.0666e+00  -1.0088e+00   9.1684e-03   3.6536e-02   4.9125e-07   8.7920e-02   2.2107e-02   1.8812e-01   9.4123e-02   9.3223e-01   8.2517e-02   9.8893e-01   8.2687e-02
+#&gt; 356:    1.0187e+02  -4.1204e+00  -2.3542e+00  -4.0664e+00  -1.0086e+00   8.9025e-03   3.6431e-02   4.9325e-07   8.7949e-02   2.2110e-02   1.8827e-01   9.4135e-02   9.3252e-01   8.2503e-02   9.8907e-01   8.2649e-02
+#&gt; 357:    1.0187e+02  -4.1204e+00  -2.3542e+00  -4.0663e+00  -1.0085e+00   8.6757e-03   3.6417e-02   4.9505e-07   8.8052e-02   2.2096e-02   1.8848e-01   9.4192e-02   9.3281e-01   8.2490e-02   9.8957e-01   8.2624e-02
+#&gt; 358:    1.0187e+02  -4.1204e+00  -2.3542e+00  -4.0661e+00  -1.0084e+00   8.1812e-03   3.6349e-02   4.9610e-07   8.8344e-02   2.2104e-02   1.8844e-01   9.4129e-02   9.3294e-01   8.2493e-02   9.8977e-01   8.2614e-02
+#&gt; 359:    1.0187e+02  -4.1204e+00  -2.3541e+00  -4.0659e+00  -1.0083e+00   8.0905e-03   3.6475e-02   4.9675e-07   8.8647e-02   2.2116e-02   1.8831e-01   9.4146e-02   9.3322e-01   8.2473e-02   9.8978e-01   8.2622e-02
+#&gt; 360:    1.0187e+02  -4.1204e+00  -2.3542e+00  -4.0657e+00  -1.0082e+00   7.8390e-03   3.6468e-02   4.9649e-07   8.8981e-02   2.2120e-02   1.8815e-01   9.4249e-02   9.3361e-01   8.2430e-02   9.8997e-01   8.2616e-02
+#&gt; 361:    1.0187e+02  -4.1204e+00  -2.3545e+00  -4.0656e+00  -1.0083e+00   7.9104e-03   3.6434e-02   4.9737e-07   8.9447e-02   2.2133e-02   1.8808e-01   9.4085e-02   9.3387e-01   8.2426e-02   9.9025e-01   8.2616e-02
+#&gt; 362:    1.0187e+02  -4.1204e+00  -2.3547e+00  -4.0655e+00  -1.0087e+00   7.6341e-03   3.6428e-02   4.9748e-07   8.9872e-02   2.2148e-02   1.8805e-01   9.4025e-02   9.3407e-01   8.2456e-02   9.9070e-01   8.2609e-02
+#&gt; 363:    1.0187e+02  -4.1204e+00  -2.3546e+00  -4.0653e+00  -1.0087e+00   7.2351e-03   3.6392e-02   4.9842e-07   9.0125e-02   2.2179e-02   1.8818e-01   9.4157e-02   9.3437e-01   8.2439e-02   9.9051e-01   8.2626e-02
+#&gt; 364:    1.0187e+02  -4.1204e+00  -2.3543e+00  -4.0651e+00  -1.0089e+00   6.7851e-03   3.6303e-02   4.9890e-07   9.0448e-02   2.2189e-02   1.8831e-01   9.4432e-02   9.3513e-01   8.2433e-02   9.9051e-01   8.2655e-02
+#&gt; 365:    1.0187e+02  -4.1204e+00  -2.3538e+00  -4.0650e+00  -1.0089e+00   6.2935e-03   3.6267e-02   4.9829e-07   9.0718e-02   2.2204e-02   1.8818e-01   9.4507e-02   9.3580e-01   8.2387e-02   9.9049e-01   8.2678e-02
+#&gt; 366:    1.0187e+02  -4.1204e+00  -2.3535e+00  -4.0649e+00  -1.0088e+00   5.8910e-03   3.6339e-02   4.9911e-07   9.0727e-02   2.2231e-02   1.8801e-01   9.4683e-02   9.3567e-01   8.2359e-02   9.8997e-01   8.2681e-02
+#&gt; 367:    1.0187e+02  -4.1204e+00  -2.3533e+00  -4.0649e+00  -1.0088e+00   5.8610e-03   3.6366e-02   5.0123e-07   9.0732e-02   2.2245e-02   1.8793e-01   9.4666e-02   9.3556e-01   8.2339e-02   9.8945e-01   8.2691e-02
+#&gt; 368:    1.0187e+02  -4.1204e+00  -2.3531e+00  -4.0650e+00  -1.0088e+00   6.1043e-03   3.6424e-02   5.0107e-07   9.0729e-02   2.2248e-02   1.8780e-01   9.4599e-02   9.3554e-01   8.2315e-02   9.8903e-01   8.2705e-02
+#&gt; 369:    1.0187e+02  -4.1204e+00  -2.3530e+00  -4.0650e+00  -1.0088e+00   6.1767e-03   3.6436e-02   5.0046e-07   9.0617e-02   2.2226e-02   1.8787e-01   9.4410e-02   9.3504e-01   8.2361e-02   9.8843e-01   8.2694e-02
+#&gt; 370:    1.0187e+02  -4.1204e+00  -2.3528e+00  -4.0651e+00  -1.0088e+00   6.2532e-03   3.6467e-02   5.0024e-07   9.0741e-02   2.2223e-02   1.8794e-01   9.4288e-02   9.3472e-01   8.2374e-02   9.8781e-01   8.2703e-02
+#&gt; 371:    1.0186e+02  -4.1204e+00  -2.3525e+00  -4.0652e+00  -1.0088e+00   6.2117e-03   3.6465e-02   4.9964e-07   9.0904e-02   2.2220e-02   1.8788e-01   9.4310e-02   9.3470e-01   8.2367e-02   9.8730e-01   8.2731e-02
+#&gt; 372:    1.0186e+02  -4.1204e+00  -2.3524e+00  -4.0651e+00  -1.0089e+00   6.1363e-03   3.6367e-02   5.0037e-07   9.1177e-02   2.2230e-02   1.8783e-01   9.4288e-02   9.3496e-01   8.2365e-02   9.8699e-01   8.2729e-02
+#&gt; 373:    1.0186e+02  -4.1204e+00  -2.3523e+00  -4.0650e+00  -1.0089e+00   6.0384e-03   3.6353e-02   5.0195e-07   9.1402e-02   2.2219e-02   1.8764e-01   9.4343e-02   9.3478e-01   8.2430e-02   9.8641e-01   8.2747e-02
+#&gt; 374:    1.0186e+02  -4.1204e+00  -2.3523e+00  -4.0650e+00  -1.0091e+00   5.9821e-03   3.6377e-02   5.0424e-07   9.1532e-02   2.2243e-02   1.8761e-01   9.4219e-02   9.3466e-01   8.2418e-02   9.8614e-01   8.2735e-02
+#&gt; 375:    1.0186e+02  -4.1204e+00  -2.3524e+00  -4.0649e+00  -1.0091e+00   5.8843e-03   3.6358e-02   5.0568e-07   9.1556e-02   2.2250e-02   1.8768e-01   9.4173e-02   9.3432e-01   8.2413e-02   9.8592e-01   8.2728e-02
+#&gt; 376:    1.0186e+02  -4.1204e+00  -2.3526e+00  -4.0649e+00  -1.0090e+00   5.7256e-03   3.6406e-02   5.0673e-07   9.1590e-02   2.2260e-02   1.8765e-01   9.4159e-02   9.3417e-01   8.2400e-02   9.8565e-01   8.2701e-02
+#&gt; 377:    1.0186e+02  -4.1204e+00  -2.3527e+00  -4.0647e+00  -1.0091e+00   5.2782e-03   3.6397e-02   5.0740e-07   9.1564e-02   2.2263e-02   1.8765e-01   9.4084e-02   9.3434e-01   8.2395e-02   9.8563e-01   8.2680e-02
+#&gt; 378:    1.0186e+02  -4.1204e+00  -2.3524e+00  -4.0646e+00  -1.0091e+00   4.8184e-03   3.6478e-02   5.0759e-07   9.1590e-02   2.2213e-02   1.8766e-01   9.4162e-02   9.3432e-01   8.2353e-02   9.8595e-01   8.2681e-02
+#&gt; 379:    1.0186e+02  -4.1204e+00  -2.3521e+00  -4.0646e+00  -1.0089e+00   4.4861e-03   3.6557e-02   5.0710e-07   9.1595e-02   2.2159e-02   1.8767e-01   9.3894e-02   9.3395e-01   8.2341e-02   9.8636e-01   8.2671e-02
+#&gt; 380:    1.0186e+02  -4.1204e+00  -2.3517e+00  -4.0644e+00  -1.0089e+00   3.9799e-03   3.6543e-02   5.0682e-07   9.1532e-02   2.2143e-02   1.8768e-01   9.3854e-02   9.3372e-01   8.2331e-02   9.8640e-01   8.2678e-02
+#&gt; 381:    1.0186e+02  -4.1204e+00  -2.3515e+00  -4.0643e+00  -1.0089e+00   3.6269e-03   3.6531e-02   5.0770e-07   9.1364e-02   2.2157e-02   1.8768e-01   9.3897e-02   9.3383e-01   8.2326e-02   9.8630e-01   8.2675e-02
+#&gt; 382:    1.0186e+02  -4.1204e+00  -2.3513e+00  -4.0643e+00  -1.0090e+00   3.1691e-03   3.6469e-02   5.0860e-07   9.1318e-02   2.2188e-02   1.8767e-01   9.3787e-02   9.3433e-01   8.2306e-02   9.8643e-01   8.2670e-02
+#&gt; 383:    1.0186e+02  -4.1204e+00  -2.3508e+00  -4.0642e+00  -1.0090e+00   2.6209e-03   3.6416e-02   5.0893e-07   9.1374e-02   2.2165e-02   1.8759e-01   9.3654e-02   9.3443e-01   8.2289e-02   9.8663e-01   8.2672e-02
+#&gt; 384:    1.0186e+02  -4.1204e+00  -2.3505e+00  -4.0640e+00  -1.0090e+00   2.1556e-03   3.6403e-02   5.0834e-07   9.1550e-02   2.2148e-02   1.8750e-01   9.3422e-02   9.3444e-01   8.2277e-02   9.8639e-01   8.2670e-02
+#&gt; 385:    1.0186e+02  -4.1204e+00  -2.3505e+00  -4.0638e+00  -1.0089e+00   1.7048e-03   3.6391e-02   5.0788e-07   9.1717e-02   2.2160e-02   1.8746e-01   9.3178e-02   9.3457e-01   8.2261e-02   9.8616e-01   8.2636e-02
+#&gt; 386:    1.0186e+02  -4.1204e+00  -2.3504e+00  -4.0637e+00  -1.0089e+00   1.4309e-03   3.6372e-02   5.0847e-07   9.1895e-02   2.2157e-02   1.8754e-01   9.2918e-02   9.3439e-01   8.2246e-02   9.8601e-01   8.2617e-02
+#&gt; 387:    1.0186e+02  -4.1204e+00  -2.3505e+00  -4.0636e+00  -1.0089e+00   1.3524e-03   3.6446e-02   5.0896e-07   9.2022e-02   2.2182e-02   1.8768e-01   9.2684e-02   9.3470e-01   8.2216e-02   9.8593e-01   8.2620e-02
+#&gt; 388:    1.0186e+02  -4.1204e+00  -2.3506e+00  -4.0635e+00  -1.0089e+00   1.2887e-03   3.6478e-02   5.0904e-07   9.2117e-02   2.2174e-02   1.8761e-01   9.2506e-02   9.3463e-01   8.2221e-02   9.8563e-01   8.2609e-02
+#&gt; 389:    1.0186e+02  -4.1204e+00  -2.3505e+00  -4.0635e+00  -1.0089e+00   1.2044e-03   3.6479e-02   5.0969e-07   9.2068e-02   2.2180e-02   1.8751e-01   9.2308e-02   9.3438e-01   8.2241e-02   9.8516e-01   8.2592e-02
+#&gt; 390:    1.0186e+02  -4.1204e+00  -2.3506e+00  -4.0635e+00  -1.0087e+00   1.1442e-03   3.6497e-02   5.0878e-07   9.1995e-02   2.2156e-02   1.8744e-01   9.2169e-02   9.3410e-01   8.2257e-02   9.8511e-01   8.2581e-02
+#&gt; 391:    1.0186e+02  -4.1204e+00  -2.3508e+00  -4.0635e+00  -1.0089e+00   1.0925e-03   3.6454e-02   5.0876e-07   9.1945e-02   2.2177e-02   1.8739e-01   9.1989e-02   9.3439e-01   8.2254e-02   9.8472e-01   8.2579e-02
+#&gt; 392:    1.0186e+02  -4.1204e+00  -2.3506e+00  -4.0633e+00  -1.0091e+00   7.9940e-04   3.6417e-02   5.0874e-07   9.1956e-02   2.2185e-02   1.8730e-01   9.1977e-02   9.3422e-01   8.2244e-02   9.8463e-01   8.2589e-02
+#&gt; 393:    1.0186e+02  -4.1204e+00  -2.3504e+00  -4.0632e+00  -1.0093e+00   4.2112e-04   3.6433e-02   5.0843e-07   9.1868e-02   2.2211e-02   1.8739e-01   9.2106e-02   9.3464e-01   8.2217e-02   9.8458e-01   8.2594e-02
+#&gt; 394:    1.0186e+02  -4.1204e+00  -2.3502e+00  -4.0631e+00  -1.0093e+00   1.4926e-04   3.6534e-02   5.0862e-07   9.1713e-02   2.2244e-02   1.8735e-01   9.2105e-02   9.3454e-01   8.2239e-02   9.8410e-01   8.2601e-02
+#&gt; 395:    1.0186e+02  -4.1204e+00  -2.3499e+00  -4.0630e+00  -1.0095e+00   5.2506e-05   3.6667e-02   5.0955e-07   9.1548e-02   2.2269e-02   1.8733e-01   9.2151e-02   9.3450e-01   8.2256e-02   9.8389e-01   8.2612e-02
+#&gt; 396:    1.0186e+02  -4.1204e+00  -2.3497e+00  -4.0630e+00  -1.0097e+00   1.6581e-05   3.6789e-02   5.1002e-07   9.1431e-02   2.2299e-02   1.8742e-01   9.2120e-02   9.3450e-01   8.2252e-02   9.8367e-01   8.2620e-02
+#&gt; 397:    1.0186e+02  -4.1205e+00  -2.3495e+00  -4.0629e+00  -1.0098e+00  -5.0310e-05   3.6860e-02   5.0949e-07   9.1311e-02   2.2323e-02   1.8738e-01   9.2130e-02   9.3467e-01   8.2250e-02   9.8388e-01   8.2628e-02
+#&gt; 398:    1.0186e+02  -4.1205e+00  -2.3494e+00  -4.0629e+00  -1.0097e+00  -1.4918e-04   3.6902e-02   5.0935e-07   9.1211e-02   2.2330e-02   1.8747e-01   9.2144e-02   9.3478e-01   8.2260e-02   9.8420e-01   8.2632e-02
+#&gt; 399:    1.0186e+02  -4.1205e+00  -2.3497e+00  -4.0628e+00  -1.0097e+00  -2.2152e-04   3.6932e-02   5.0927e-07   9.1209e-02   2.2377e-02   1.8750e-01   9.2136e-02   9.3481e-01   8.2286e-02   9.8431e-01   8.2622e-02
+#&gt; 400:    1.0186e+02  -4.1205e+00  -2.3499e+00  -4.0629e+00  -1.0097e+00   3.2878e-05   3.6943e-02   5.0892e-07   9.1092e-02   2.2388e-02   1.8752e-01   9.2072e-02   9.3534e-01   8.2276e-02   9.8472e-01   8.2615e-02
+#&gt; 401:    1.0186e+02  -4.1205e+00  -2.3501e+00  -4.0630e+00  -1.0097e+00   2.6776e-04   3.6950e-02   5.0860e-07   9.1038e-02   2.2395e-02   1.8740e-01   9.1911e-02   9.3515e-01   8.2331e-02   9.8459e-01   8.2615e-02
+#&gt; 402:    1.0186e+02  -4.1205e+00  -2.3502e+00  -4.0632e+00  -1.0097e+00   3.9988e-04   3.6912e-02   5.0849e-07   9.0944e-02   2.2401e-02   1.8737e-01   9.1701e-02   9.3494e-01   8.2353e-02   9.8479e-01   8.2609e-02
+#&gt; 403:    1.0186e+02  -4.1205e+00  -2.3503e+00  -4.0633e+00  -1.0098e+00   4.9714e-04   3.6935e-02   5.0805e-07   9.0895e-02   2.2404e-02   1.8741e-01   9.1609e-02   9.3444e-01   8.2372e-02   9.8505e-01   8.2638e-02
+#&gt; 404:    1.0186e+02  -4.1205e+00  -2.3504e+00  -4.0633e+00  -1.0100e+00   5.8465e-04   3.6978e-02   5.0889e-07   9.0862e-02   2.2453e-02   1.8746e-01   9.1650e-02   9.3491e-01   8.2364e-02   9.8484e-01   8.2653e-02
+#&gt; 405:    1.0186e+02  -4.1205e+00  -2.3505e+00  -4.0634e+00  -1.0099e+00   5.5970e-04   3.6999e-02   5.0964e-07   9.0930e-02   2.2480e-02   1.8742e-01   9.1823e-02   9.3458e-01   8.2371e-02   9.8465e-01   8.2670e-02
+#&gt; 406:    1.0186e+02  -4.1205e+00  -2.3507e+00  -4.0634e+00  -1.0098e+00   5.4464e-04   3.7123e-02   5.1046e-07   9.1008e-02   2.2478e-02   1.8749e-01   9.1930e-02   9.3449e-01   8.2361e-02   9.8440e-01   8.2666e-02
+#&gt; 407:    1.0186e+02  -4.1205e+00  -2.3506e+00  -4.0634e+00  -1.0097e+00   3.5564e-04   3.7226e-02   5.0978e-07   9.0891e-02   2.2469e-02   1.8751e-01   9.2130e-02   9.3444e-01   8.2380e-02   9.8462e-01   8.2660e-02
+#&gt; 408:    1.0186e+02  -4.1205e+00  -2.3506e+00  -4.0635e+00  -1.0097e+00   3.8362e-04   3.7354e-02   5.0967e-07   9.0892e-02   2.2461e-02   1.8747e-01   9.2230e-02   9.3453e-01   8.2363e-02   9.8466e-01   8.2661e-02
+#&gt; 409:    1.0186e+02  -4.1205e+00  -2.3505e+00  -4.0635e+00  -1.0097e+00   2.6671e-04   3.7473e-02   5.0928e-07   9.0894e-02   2.2519e-02   1.8751e-01   9.2243e-02   9.3447e-01   8.2347e-02   9.8449e-01   8.2667e-02
+#&gt; 410:    1.0186e+02  -4.1205e+00  -2.3506e+00  -4.0634e+00  -1.0098e+00   1.7963e-04   3.7438e-02   5.0981e-07   9.0898e-02   2.2600e-02   1.8764e-01   9.2237e-02   9.3502e-01   8.2320e-02   9.8430e-01   8.2663e-02
+#&gt; 411:    1.0186e+02  -4.1205e+00  -2.3506e+00  -4.0634e+00  -1.0098e+00   1.0085e-04   3.7381e-02   5.0970e-07   9.0820e-02   2.2618e-02   1.8767e-01   9.2103e-02   9.3480e-01   8.2324e-02   9.8427e-01   8.2652e-02
+#&gt; 412:    1.0186e+02  -4.1205e+00  -2.3508e+00  -4.0633e+00  -1.0097e+00   1.9452e-04   3.7315e-02   5.0984e-07   9.0784e-02   2.2605e-02   1.8772e-01   9.2118e-02   9.3504e-01   8.2314e-02   9.8431e-01   8.2636e-02
+#&gt; 413:    1.0186e+02  -4.1205e+00  -2.3508e+00  -4.0632e+00  -1.0097e+00   1.8432e-04   3.7243e-02   5.0946e-07   9.0798e-02   2.2604e-02   1.8765e-01   9.2206e-02   9.3499e-01   8.2299e-02   9.8426e-01   8.2636e-02
+#&gt; 414:    1.0186e+02  -4.1205e+00  -2.3505e+00  -4.0632e+00  -1.0097e+00   2.1744e-04   3.7203e-02   5.0880e-07   9.0769e-02   2.2604e-02   1.8757e-01   9.2403e-02   9.3516e-01   8.2279e-02   9.8414e-01   8.2659e-02
+#&gt; 415:    1.0186e+02  -4.1205e+00  -2.3505e+00  -4.0633e+00  -1.0097e+00   1.9330e-04   3.7197e-02   5.0896e-07   9.0657e-02   2.2618e-02   1.8764e-01   9.2565e-02   9.3514e-01   8.2264e-02   9.8435e-01   8.2655e-02
+#&gt; 416:    1.0186e+02  -4.1205e+00  -2.3501e+00  -4.0634e+00  -1.0097e+00   2.1450e-04   3.7144e-02   5.0882e-07   9.0762e-02   2.2645e-02   1.8761e-01   9.2614e-02   9.3511e-01   8.2277e-02   9.8415e-01   8.2669e-02
+#&gt; 417:    1.0186e+02  -4.1205e+00  -2.3498e+00  -4.0634e+00  -1.0099e+00   1.0737e-04   3.7092e-02   5.0932e-07   9.0804e-02   2.2631e-02   1.8754e-01   9.2581e-02   9.3509e-01   8.2284e-02   9.8430e-01   8.2667e-02
+#&gt; 418:    1.0186e+02  -4.1205e+00  -2.3495e+00  -4.0633e+00  -1.0099e+00   2.4734e-05   3.7061e-02   5.0972e-07   9.0913e-02   2.2624e-02   1.8736e-01   9.2572e-02   9.3482e-01   8.2275e-02   9.8413e-01   8.2682e-02
+#&gt; 419:    1.0186e+02  -4.1205e+00  -2.3495e+00  -4.0633e+00  -1.0099e+00  -3.9197e-05   3.7070e-02   5.1000e-07   9.1084e-02   2.2644e-02   1.8727e-01   9.2636e-02   9.3494e-01   8.2259e-02   9.8382e-01   8.2673e-02
+#&gt; 420:    1.0186e+02  -4.1205e+00  -2.3494e+00  -4.0633e+00  -1.0098e+00  -1.2434e-04   3.7103e-02   5.1037e-07   9.1152e-02   2.2631e-02   1.8733e-01   9.2862e-02   9.3515e-01   8.2244e-02   9.8388e-01   8.2656e-02
+#&gt; 421:    1.0186e+02  -4.1205e+00  -2.3494e+00  -4.0632e+00  -1.0097e+00  -1.5440e-04   3.7123e-02   5.1205e-07   9.1233e-02   2.2626e-02   1.8744e-01   9.2935e-02   9.3523e-01   8.2241e-02   9.8360e-01   8.2652e-02
+#&gt; 422:    1.0186e+02  -4.1205e+00  -2.3495e+00  -4.0633e+00  -1.0095e+00  -8.9184e-05   3.7182e-02   5.1296e-07   9.1123e-02   2.2617e-02   1.8749e-01   9.2915e-02   9.3509e-01   8.2276e-02   9.8367e-01   8.2637e-02
+#&gt; 423:    1.0186e+02  -4.1205e+00  -2.3497e+00  -4.0634e+00  -1.0095e+00   6.7469e-05   3.7194e-02   5.1323e-07   9.1083e-02   2.2642e-02   1.8739e-01   9.3097e-02   9.3529e-01   8.2270e-02   9.8367e-01   8.2642e-02
+#&gt; 424:    1.0186e+02  -4.1205e+00  -2.3498e+00  -4.0635e+00  -1.0094e+00   1.5970e-04   3.7258e-02   5.1292e-07   9.0998e-02   2.2667e-02   1.8730e-01   9.3311e-02   9.3525e-01   8.2262e-02   9.8362e-01   8.2648e-02
+#&gt; 425:    1.0186e+02  -4.1205e+00  -2.3499e+00  -4.0636e+00  -1.0095e+00   2.7004e-04   3.7298e-02   5.1307e-07   9.0839e-02   2.2665e-02   1.8744e-01   9.3429e-02   9.3497e-01   8.2282e-02   9.8395e-01   8.2657e-02
+#&gt; 426:    1.0186e+02  -4.1205e+00  -2.3499e+00  -4.0636e+00  -1.0094e+00   3.9201e-04   3.7303e-02   5.1305e-07   9.0647e-02   2.2675e-02   1.8743e-01   9.3523e-02   9.3477e-01   8.2314e-02   9.8371e-01   8.2655e-02
+#&gt; 427:    1.0186e+02  -4.1205e+00  -2.3496e+00  -4.0636e+00  -1.0093e+00   2.9359e-04   3.7366e-02   5.1245e-07   9.0630e-02   2.2673e-02   1.8738e-01   9.3813e-02   9.3495e-01   8.2291e-02   9.8368e-01   8.2653e-02
+#&gt; 428:    1.0186e+02  -4.1204e+00  -2.3496e+00  -4.0635e+00  -1.0094e+00   2.5099e-04   3.7411e-02   5.1144e-07   9.0647e-02   2.2674e-02   1.8732e-01   9.3993e-02   9.3493e-01   8.2273e-02   9.8373e-01   8.2652e-02
+#&gt; 429:    1.0186e+02  -4.1204e+00  -2.3495e+00  -4.0635e+00  -1.0095e+00   2.4723e-04   3.7543e-02   5.1084e-07   9.0600e-02   2.2677e-02   1.8723e-01   9.4269e-02   9.3518e-01   8.2286e-02   9.8396e-01   8.2659e-02
+#&gt; 430:    1.0186e+02  -4.1204e+00  -2.3494e+00  -4.0635e+00  -1.0096e+00   2.7711e-04   3.7579e-02   5.1022e-07   9.0496e-02   2.2679e-02   1.8708e-01   9.4484e-02   9.3525e-01   8.2309e-02   9.8433e-01   8.2672e-02
+#&gt; 431:    1.0186e+02  -4.1204e+00  -2.3494e+00  -4.0634e+00  -1.0095e+00   1.3934e-05   3.7631e-02   5.0908e-07   9.0378e-02   2.2671e-02   1.8708e-01   9.4770e-02   9.3528e-01   8.2302e-02   9.8470e-01   8.2682e-02
+#&gt; 432:    1.0186e+02  -4.1204e+00  -2.3495e+00  -4.0633e+00  -1.0096e+00  -8.9401e-05   3.7677e-02   5.0861e-07   9.0278e-02   2.2654e-02   1.8702e-01   9.4882e-02   9.3518e-01   8.2318e-02   9.8488e-01   8.2667e-02
+#&gt; 433:    1.0186e+02  -4.1205e+00  -2.3495e+00  -4.0633e+00  -1.0096e+00  -3.6841e-04   3.7706e-02   5.0854e-07   9.0108e-02   2.2652e-02   1.8703e-01   9.5039e-02   9.3487e-01   8.2331e-02   9.8494e-01   8.2669e-02
+#&gt; 434:    1.0186e+02  -4.1205e+00  -2.3493e+00  -4.0632e+00  -1.0096e+00  -4.3399e-04   3.7671e-02   5.0796e-07   9.0036e-02   2.2661e-02   1.8701e-01   9.5122e-02   9.3474e-01   8.2331e-02   9.8474e-01   8.2675e-02
+#&gt; 435:    1.0186e+02  -4.1205e+00  -2.3491e+00  -4.0632e+00  -1.0096e+00  -6.1398e-04   3.7654e-02   5.0727e-07   8.9940e-02   2.2664e-02   1.8691e-01   9.5242e-02   9.3451e-01   8.2346e-02   9.8466e-01   8.2677e-02
+#&gt; 436:    1.0186e+02  -4.1205e+00  -2.3487e+00  -4.0632e+00  -1.0094e+00  -7.2148e-04   3.7647e-02   5.0649e-07   8.9838e-02   2.2661e-02   1.8694e-01   9.5465e-02   9.3429e-01   8.2365e-02   9.8475e-01   8.2683e-02
+#&gt; 437:    1.0186e+02  -4.1205e+00  -2.3484e+00  -4.0632e+00  -1.0093e+00  -1.1480e-03   3.7613e-02   5.0662e-07   8.9719e-02   2.2674e-02   1.8698e-01   9.5631e-02   9.3419e-01   8.2380e-02   9.8490e-01   8.2684e-02
+#&gt; 438:    1.0186e+02  -4.1204e+00  -2.3482e+00  -4.0631e+00  -1.0092e+00  -1.5547e-03   3.7583e-02   5.0753e-07   8.9612e-02   2.2680e-02   1.8703e-01   9.5913e-02   9.3413e-01   8.2394e-02   9.8523e-01   8.2678e-02
+#&gt; 439:    1.0186e+02  -4.1205e+00  -2.3483e+00  -4.0630e+00  -1.0093e+00  -1.9392e-03   3.7463e-02   5.0769e-07   8.9410e-02   2.2706e-02   1.8706e-01   9.6149e-02   9.3392e-01   8.2425e-02   9.8512e-01   8.2670e-02
+#&gt; 440:    1.0186e+02  -4.1205e+00  -2.3482e+00  -4.0629e+00  -1.0094e+00  -2.1940e-03   3.7360e-02   5.0743e-07   8.9245e-02   2.2742e-02   1.8710e-01   9.6213e-02   9.3400e-01   8.2445e-02   9.8490e-01   8.2676e-02
+#&gt; 441:    1.0186e+02  -4.1205e+00  -2.3481e+00  -4.0629e+00  -1.0095e+00  -2.3414e-03   3.7297e-02   5.0838e-07   8.9137e-02   2.2806e-02   1.8721e-01   9.6155e-02   9.3405e-01   8.2450e-02   9.8470e-01   8.2684e-02
+#&gt; 442:    1.0186e+02  -4.1205e+00  -2.3481e+00  -4.0628e+00  -1.0095e+00  -2.6378e-03   3.7241e-02   5.0923e-07   8.9066e-02   2.2846e-02   1.8727e-01   9.6135e-02   9.3389e-01   8.2465e-02   9.8454e-01   8.2686e-02
+#&gt; 443:    1.0186e+02  -4.1205e+00  -2.3482e+00  -4.0627e+00  -1.0094e+00  -2.8716e-03   3.7214e-02   5.1026e-07   8.9128e-02   2.2901e-02   1.8740e-01   9.6077e-02   9.3386e-01   8.2444e-02   9.8421e-01   8.2692e-02
+#&gt; 444:    1.0186e+02  -4.1205e+00  -2.3483e+00  -4.0627e+00  -1.0092e+00  -2.9147e-03   3.7196e-02   5.1104e-07   8.9190e-02   2.2985e-02   1.8744e-01   9.5999e-02   9.3390e-01   8.2424e-02   9.8381e-01   8.2696e-02
+#&gt; 445:    1.0186e+02  -4.1205e+00  -2.3484e+00  -4.0626e+00  -1.0090e+00  -2.9638e-03   3.7251e-02   5.1283e-07   8.9335e-02   2.3004e-02   1.8756e-01   9.5788e-02   9.3382e-01   8.2416e-02   9.8347e-01   8.2683e-02
+#&gt; 446:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0627e+00  -1.0090e+00  -2.8796e-03   3.7331e-02   5.1479e-07   8.9470e-02   2.3017e-02   1.8762e-01   9.5656e-02   9.3368e-01   8.2405e-02   9.8325e-01   8.2680e-02
+#&gt; 447:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0628e+00  -1.0091e+00  -2.7695e-03   3.7473e-02   5.1656e-07   8.9568e-02   2.3030e-02   1.8757e-01   9.5575e-02   9.3379e-01   8.2386e-02   9.8306e-01   8.2690e-02
+#&gt; 448:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0629e+00  -1.0091e+00  -2.6293e-03   3.7498e-02   5.1814e-07   8.9776e-02   2.3052e-02   1.8762e-01   9.5422e-02   9.3373e-01   8.2372e-02   9.8274e-01   8.2685e-02
+#&gt; 449:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0628e+00  -1.0092e+00  -2.5640e-03   3.7542e-02   5.1867e-07   8.9888e-02   2.3056e-02   1.8763e-01   9.5364e-02   9.3400e-01   8.2365e-02   9.8239e-01   8.2691e-02
+#&gt; 450:    1.0186e+02  -4.1205e+00  -2.3483e+00  -4.0628e+00  -1.0093e+00  -2.5816e-03   3.7622e-02   5.1849e-07   9.0050e-02   2.3061e-02   1.8765e-01   9.5274e-02   9.3435e-01   8.2341e-02   9.8235e-01   8.2699e-02
+#&gt; 451:    1.0186e+02  -4.1205e+00  -2.3483e+00  -4.0627e+00  -1.0094e+00  -2.4837e-03   3.7631e-02   5.1931e-07   9.0177e-02   2.3053e-02   1.8766e-01   9.5103e-02   9.3459e-01   8.2322e-02   9.8226e-01   8.2715e-02
+#&gt; 452:    1.0186e+02  -4.1205e+00  -2.3482e+00  -4.0627e+00  -1.0094e+00  -2.4156e-03   3.7606e-02   5.1901e-07   9.0333e-02   2.3047e-02   1.8763e-01   9.4959e-02   9.3485e-01   8.2289e-02   9.8210e-01   8.2713e-02
+#&gt; 453:    1.0186e+02  -4.1205e+00  -2.3484e+00  -4.0627e+00  -1.0093e+00  -2.4619e-03   3.7552e-02   5.1874e-07   9.0495e-02   2.3066e-02   1.8761e-01   9.4960e-02   9.3485e-01   8.2293e-02   9.8178e-01   8.2703e-02
+#&gt; 454:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0627e+00  -1.0092e+00  -2.4816e-03   3.7514e-02   5.1835e-07   9.0606e-02   2.3073e-02   1.8754e-01   9.4896e-02   9.3491e-01   8.2277e-02   9.8154e-01   8.2696e-02
+#&gt; 455:    1.0186e+02  -4.1205e+00  -2.3484e+00  -4.0627e+00  -1.0092e+00  -2.3708e-03   3.7457e-02   5.1742e-07   9.0715e-02   2.3099e-02   1.8756e-01   9.4804e-02   9.3481e-01   8.2272e-02   9.8122e-01   8.2688e-02
+#&gt; 456:    1.0186e+02  -4.1205e+00  -2.3484e+00  -4.0627e+00  -1.0093e+00  -2.2313e-03   3.7409e-02   5.1680e-07   9.0906e-02   2.3131e-02   1.8743e-01   9.4814e-02   9.3476e-01   8.2261e-02   9.8108e-01   8.2694e-02
+#&gt; 457:    1.0186e+02  -4.1205e+00  -2.3483e+00  -4.0628e+00  -1.0095e+00  -2.1182e-03   3.7342e-02   5.1630e-07   9.0986e-02   2.3158e-02   1.8733e-01   9.4843e-02   9.3488e-01   8.2244e-02   9.8094e-01   8.2700e-02
+#&gt; 458:    1.0186e+02  -4.1205e+00  -2.3483e+00  -4.0628e+00  -1.0095e+00  -1.9242e-03   3.7244e-02   5.1605e-07   9.1085e-02   2.3168e-02   1.8720e-01   9.4820e-02   9.3509e-01   8.2228e-02   9.8093e-01   8.2703e-02
+#&gt; 459:    1.0186e+02  -4.1205e+00  -2.3484e+00  -4.0629e+00  -1.0095e+00  -1.7643e-03   3.7203e-02   5.1566e-07   9.1179e-02   2.3175e-02   1.8715e-01   9.4809e-02   9.3516e-01   8.2216e-02   9.8087e-01   8.2690e-02
+#&gt; 460:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0629e+00  -1.0094e+00  -1.5479e-03   3.7151e-02   5.1547e-07   9.1211e-02   2.3155e-02   1.8712e-01   9.4703e-02   9.3539e-01   8.2201e-02   9.8100e-01   8.2683e-02
+#&gt; 461:    1.0186e+02  -4.1205e+00  -2.3484e+00  -4.0630e+00  -1.0095e+00  -1.4993e-03   3.7111e-02   5.1446e-07   9.1225e-02   2.3159e-02   1.8705e-01   9.4569e-02   9.3555e-01   8.2183e-02   9.8078e-01   8.2680e-02
+#&gt; 462:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0629e+00  -1.0094e+00  -1.4890e-03   3.7056e-02   5.1361e-07   9.1446e-02   2.3158e-02   1.8694e-01   9.4494e-02   9.3557e-01   8.2171e-02   9.8058e-01   8.2688e-02
+#&gt; 463:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0629e+00  -1.0094e+00  -1.3999e-03   3.6996e-02   5.1319e-07   9.1659e-02   2.3176e-02   1.8695e-01   9.4436e-02   9.3570e-01   8.2153e-02   9.8053e-01   8.2686e-02
+#&gt; 464:    1.0186e+02  -4.1205e+00  -2.3484e+00  -4.0630e+00  -1.0095e+00  -1.1544e-03   3.6949e-02   5.1300e-07   9.1885e-02   2.3162e-02   1.8688e-01   9.4378e-02   9.3599e-01   8.2134e-02   9.8051e-01   8.2694e-02
+#&gt; 465:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0630e+00  -1.0097e+00  -9.7372e-04   3.6943e-02   5.1235e-07   9.2014e-02   2.3136e-02   1.8692e-01   9.4288e-02   9.3605e-01   8.2141e-02   9.8053e-01   8.2693e-02
+#&gt; 466:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0630e+00  -1.0097e+00  -9.2442e-04   3.6916e-02   5.1246e-07   9.2074e-02   2.3132e-02   1.8688e-01   9.4254e-02   9.3590e-01   8.2131e-02   9.8016e-01   8.2691e-02
+#&gt; 467:    1.0186e+02  -4.1205e+00  -2.3485e+00  -4.0631e+00  -1.0098e+00  -8.2540e-04   3.6928e-02   5.1340e-07   9.2164e-02   2.3141e-02   1.8690e-01   9.4382e-02   9.3620e-01   8.2106e-02   9.7996e-01   8.2705e-02
+#&gt; 468:    1.0186e+02  -4.1205e+00  -2.3484e+00  -4.0631e+00  -1.0097e+00  -7.3368e-04   3.6925e-02   5.1395e-07   9.2218e-02   2.3136e-02   1.8695e-01   9.4504e-02   9.3629e-01   8.2094e-02   9.7985e-01   8.2716e-02
+#&gt; 469:    1.0186e+02  -4.1205e+00  -2.3483e+00  -4.0630e+00  -1.0096e+00  -7.4343e-04   3.6891e-02   5.1401e-07   9.2204e-02   2.3114e-02   1.8700e-01   9.4639e-02   9.3643e-01   8.2078e-02   9.7996e-01   8.2709e-02
+#&gt; 470:    1.0186e+02  -4.1205e+00  -2.3482e+00  -4.0630e+00  -1.0096e+00  -7.8250e-04   3.6874e-02   5.1370e-07   9.2209e-02   2.3083e-02   1.8702e-01   9.4728e-02   9.3646e-01   8.2073e-02   9.7989e-01   8.2703e-02
+#&gt; 471:    1.0186e+02  -4.1205e+00  -2.3480e+00  -4.0629e+00  -1.0095e+00  -1.0440e-03   3.6843e-02   5.1358e-07   9.2194e-02   2.3062e-02   1.8710e-01   9.4741e-02   9.3649e-01   8.2082e-02   9.8003e-01   8.2701e-02
+#&gt; 472:    1.0186e+02  -4.1205e+00  -2.3481e+00  -4.0629e+00  -1.0096e+00  -9.5438e-04   3.6869e-02   5.1330e-07   9.2176e-02   2.3050e-02   1.8712e-01   9.4766e-02   9.3666e-01   8.2080e-02   9.7996e-01   8.2691e-02
+#&gt; 473:    1.0186e+02  -4.1205e+00  -2.3481e+00  -4.0630e+00  -1.0096e+00  -8.2178e-04   3.6877e-02   5.1283e-07   9.2191e-02   2.3021e-02   1.8703e-01   9.4747e-02   9.3670e-01   8.2072e-02   9.8007e-01   8.2693e-02
+#&gt; 474:    1.0186e+02  -4.1205e+00  -2.3481e+00  -4.0630e+00  -1.0096e+00  -7.0189e-04   3.6927e-02   5.1196e-07   9.2195e-02   2.2989e-02   1.8702e-01   9.4746e-02   9.3669e-01   8.2054e-02   9.8029e-01   8.2689e-02
+#&gt; 475:    1.0186e+02  -4.1205e+00  -2.3481e+00  -4.0630e+00  -1.0095e+00  -7.1989e-04   3.6993e-02   5.1125e-07   9.2159e-02   2.2963e-02   1.8700e-01   9.4813e-02   9.3681e-01   8.2051e-02   9.8027e-01   8.2680e-02
+#&gt; 476:    1.0186e+02  -4.1205e+00  -2.3481e+00  -4.0629e+00  -1.0096e+00  -7.1806e-04   3.7018e-02   5.1105e-07   9.2091e-02   2.2933e-02   1.8696e-01   9.4837e-02   9.3713e-01   8.2067e-02   9.8033e-01   8.2674e-02
+#&gt; 477:    1.0186e+02  -4.1205e+00  -2.3479e+00  -4.0630e+00  -1.0097e+00  -7.3438e-04   3.6986e-02   5.1121e-07   9.2046e-02   2.2909e-02   1.8698e-01   9.4809e-02   9.3743e-01   8.2059e-02   9.8045e-01   8.2693e-02
+#&gt; 478:    1.0186e+02  -4.1205e+00  -2.3478e+00  -4.0630e+00  -1.0096e+00  -7.9338e-04   3.6912e-02   5.1224e-07   9.2056e-02   2.2881e-02   1.8698e-01   9.4791e-02   9.3757e-01   8.2042e-02   9.8072e-01   8.2682e-02
+#&gt; 479:    1.0186e+02  -4.1205e+00  -2.3476e+00  -4.0629e+00  -1.0096e+00  -8.6158e-04   3.6882e-02   5.1284e-07   9.2159e-02   2.2867e-02   1.8694e-01   9.4774e-02   9.3749e-01   8.2051e-02   9.8088e-01   8.2679e-02
+#&gt; 480:    1.0186e+02  -4.1205e+00  -2.3474e+00  -4.0629e+00  -1.0096e+00  -1.1334e-03   3.6851e-02   5.1423e-07   9.2253e-02   2.2869e-02   1.8696e-01   9.4820e-02   9.3751e-01   8.2063e-02   9.8097e-01   8.2693e-02
+#&gt; 481:    1.0186e+02  -4.1205e+00  -2.3470e+00  -4.0629e+00  -1.0096e+00  -1.2444e-03   3.6785e-02   5.1490e-07   9.2397e-02   2.2853e-02   1.8694e-01   9.4838e-02   9.3770e-01   8.2031e-02   9.8124e-01   8.2707e-02
+#&gt; 482:    1.0186e+02  -4.1205e+00  -2.3467e+00  -4.0629e+00  -1.0095e+00  -1.3612e-03   3.6750e-02   5.1658e-07   9.2440e-02   2.2842e-02   1.8683e-01   9.4800e-02   9.3786e-01   8.2041e-02   9.8107e-01   8.2719e-02
+#&gt; 483:    1.0186e+02  -4.1205e+00  -2.3467e+00  -4.0628e+00  -1.0096e+00  -1.5168e-03   3.6783e-02   5.1708e-07   9.2590e-02   2.2804e-02   1.8674e-01   9.4804e-02   9.3790e-01   8.2042e-02   9.8116e-01   8.2719e-02
+#&gt; 484:    1.0186e+02  -4.1205e+00  -2.3466e+00  -4.0628e+00  -1.0097e+00  -1.5218e-03   3.6848e-02   5.1669e-07   9.2717e-02   2.2775e-02   1.8670e-01   9.4940e-02   9.3798e-01   8.2028e-02   9.8106e-01   8.2719e-02
+#&gt; 485:    1.0186e+02  -4.1205e+00  -2.3464e+00  -4.0628e+00  -1.0097e+00  -1.4177e-03   3.6867e-02   5.1615e-07   9.2806e-02   2.2765e-02   1.8669e-01   9.5018e-02   9.3816e-01   8.2020e-02   9.8090e-01   8.2721e-02
+#&gt; 486:    1.0186e+02  -4.1205e+00  -2.3462e+00  -4.0628e+00  -1.0098e+00  -1.5257e-03   3.6968e-02   5.1513e-07   9.3019e-02   2.2762e-02   1.8663e-01   9.5111e-02   9.3816e-01   8.2013e-02   9.8071e-01   8.2732e-02
+#&gt; 487:    1.0186e+02  -4.1205e+00  -2.3460e+00  -4.0628e+00  -1.0097e+00  -1.7055e-03   3.7021e-02   5.1446e-07   9.3161e-02   2.2732e-02   1.8652e-01   9.5373e-02   9.3832e-01   8.1997e-02   9.8078e-01   8.2737e-02
+#&gt; 488:    1.0186e+02  -4.1205e+00  -2.3459e+00  -4.0628e+00  -1.0097e+00  -1.8502e-03   3.7069e-02   5.1391e-07   9.3282e-02   2.2741e-02   1.8641e-01   9.5414e-02   9.3818e-01   8.2001e-02   9.8064e-01   8.2738e-02
+#&gt; 489:    1.0186e+02  -4.1205e+00  -2.3458e+00  -4.0628e+00  -1.0097e+00  -1.9091e-03   3.7017e-02   5.1291e-07   9.3286e-02   2.2738e-02   1.8639e-01   9.5453e-02   9.3808e-01   8.1991e-02   9.8047e-01   8.2728e-02
+#&gt; 490:    1.0186e+02  -4.1205e+00  -2.3456e+00  -4.0628e+00  -1.0097e+00  -1.8766e-03   3.6969e-02   5.1220e-07   9.3297e-02   2.2728e-02   1.8635e-01   9.5468e-02   9.3793e-01   8.1988e-02   9.8034e-01   8.2726e-02
+#&gt; 491:    1.0186e+02  -4.1205e+00  -2.3457e+00  -4.0627e+00  -1.0097e+00  -1.7736e-03   3.6915e-02   5.1153e-07   9.3298e-02   2.2716e-02   1.8634e-01   9.5548e-02   9.3772e-01   8.2005e-02   9.8025e-01   8.2722e-02
+#&gt; 492:    1.0186e+02  -4.1205e+00  -2.3457e+00  -4.0627e+00  -1.0097e+00  -1.7747e-03   3.6877e-02   5.1077e-07   9.3336e-02   2.2697e-02   1.8635e-01   9.5593e-02   9.3778e-01   8.2001e-02   9.8013e-01   8.2725e-02
+#&gt; 493:    1.0186e+02  -4.1205e+00  -2.3456e+00  -4.0628e+00  -1.0094e+00  -1.6324e-03   3.6857e-02   5.1020e-07   9.3348e-02   2.2668e-02   1.8636e-01   9.5735e-02   9.3764e-01   8.1984e-02   9.8019e-01   8.2723e-02
+#&gt; 494:    1.0186e+02  -4.1205e+00  -2.3456e+00  -4.0629e+00  -1.0094e+00  -1.5393e-03   3.6842e-02   5.1022e-07   9.3359e-02   2.2649e-02   1.8637e-01   9.5812e-02   9.3739e-01   8.1982e-02   9.8033e-01   8.2708e-02
+#&gt; 495:    1.0186e+02  -4.1205e+00  -2.3456e+00  -4.0629e+00  -1.0094e+00  -1.5166e-03   3.6841e-02   5.1004e-07   9.3321e-02   2.2642e-02   1.8640e-01   9.5849e-02   9.3716e-01   8.1979e-02   9.8016e-01   8.2700e-02
+#&gt; 496:    1.0186e+02  -4.1205e+00  -2.3456e+00  -4.0630e+00  -1.0095e+00  -1.4947e-03   3.6841e-02   5.0969e-07   9.3236e-02   2.2646e-02   1.8640e-01   9.5916e-02   9.3719e-01   8.1963e-02   9.8028e-01   8.2702e-02
+#&gt; 497:    1.0186e+02  -4.1205e+00  -2.3457e+00  -4.0629e+00  -1.0094e+00  -1.4507e-03   3.6827e-02   5.0937e-07   9.3185e-02   2.2663e-02   1.8638e-01   9.5991e-02   9.3707e-01   8.1954e-02   9.8047e-01   8.2718e-02
+#&gt; 498:    1.0186e+02  -4.1205e+00  -2.3459e+00  -4.0630e+00  -1.0094e+00  -1.2569e-03   3.6805e-02   5.0854e-07   9.3089e-02   2.2677e-02   1.8634e-01   9.5931e-02   9.3719e-01   8.1952e-02   9.8051e-01   8.2718e-02
+#&gt; 499:    1.0186e+02  -4.1205e+00  -2.3460e+00  -4.0630e+00  -1.0093e+00  -1.0466e-03   3.6769e-02   5.0789e-07   9.3029e-02   2.2690e-02   1.8631e-01   9.5862e-02   9.3729e-01   8.1956e-02   9.8046e-01   8.2731e-02
+#&gt; 500:    1.0186e+02  -4.1205e+00  -2.3464e+00  -4.0630e+00  -1.0093e+00  -7.3346e-04   3.6766e-02   5.0769e-07   9.3093e-02   2.2701e-02   1.8633e-01   9.5687e-02   9.3739e-01   8.1977e-02   9.8039e-01   8.2728e-02</div><div class='output co'>#&gt; <span class='message'>Calculating covariance matrix</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='input'><span class='co'># The following takes a very long time but gives</span>
+<span class='va'>f_nlmixr_dfop_sfo_focei</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlmixr/man/nlmixr.html'>nlmixr</a></span><span class='op'>(</span><span class='va'>f_mmkin_dfop_sfo</span>, est <span class='op'>=</span> <span class='st'>"focei"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BBBB;'>ℹ</span> Need to run with the source intact to parse comments</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ creating full model...</span></div><div class='output co'>#&gt; <span class='message'>→ pruning branches (<span style='color: #262626; background-color: #DADADA;'>`if`</span>/<span style='color: #262626; background-color: #DADADA;'>`else`</span>)...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ loading into <span style='color: #0000BB;'>symengine</span> environment...</span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ calculate jacobian</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate sensitivities</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(f)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ calculate ∂(R²)/∂(η)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in inner model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in EBE model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling inner model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ finding duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ optimizing duplicate expressions in FD model...</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt; <span class='message'>→ compiling EBE model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>→ compiling events FD model...</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='message'><span style='color: #00BB00;'>✔</span> done</span></div><div class='output co'>#&gt; <span class='message'>Needed Covariates:</span></div><div class='output co'>#&gt; [1] "CMT"
+#&gt; <span style='font-weight: bold;'>Key:</span> U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
+#&gt; F: Forward difference gradient approximation
+#&gt; C: Central difference gradient approximation
+#&gt; M: Mixed forward and central difference gradient approximation
+#&gt; Unscaled parameters for Omegas=chol(solve(omega));
+#&gt; Diagonals are transformed, as specified by foceiControl(diagXform=)
+#&gt; |-----+---------------+-----------+-----------+-----------+-----------|
+#&gt; |    #| Objective Fun |  parent_0 |  log_k_m1 |f_parent_qlogis |    log_k1 |
+#&gt; |.....................|    log_k2 |  g_qlogis | sigma_low |  rsd_high |
+#&gt; |.....................|        o1 |        o2 |        o3 |        o4 |
+#&gt; <span style='text-decoration: underline;'>|.....................|        o5 |        o6 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    1</span>|     496.98032 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     496.98032 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     496.98032</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    G|    Gill Diff. |     57.10 |   -0.1453 |   -0.1275 |    0.2854 |
+#&gt; |.....................|   -0.6156 |  0.007043 |    -23.49 |    -32.87 |
+#&gt; |.....................|     3.669 |    -17.46 |    -13.05 |    -13.08 |
+#&gt; <span style='text-decoration: underline;'>|.....................|    -16.16 |    -9.766 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    2</span>|     3094.8373 |    0.2572 |   -0.9978 |   -0.9392 |   -0.9714 |
+#&gt; |.....................|   -0.9920 |   -0.9233 |   -0.6037 |   -0.4942 |
+#&gt; |.....................|   -0.9579 |   -0.6658 |   -0.7293 |   -0.7310 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.6848 |   -0.7742 |...........|...........|</span>
+#&gt; |    U|     3094.8373 |     26.15 |    -4.052 |   -0.9415 |    -2.363 |
+#&gt; |.....................|    -4.062 |  -0.01133 |    0.8386 |   0.08074 |
+#&gt; |.....................|    0.6445 |     1.946 |     1.477 |     1.348 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.794 |     1.297 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     3094.8373</span> |     26.15 |   0.01739 |    0.2806 |   0.09412 |
+#&gt; |.....................|   0.01721 |    0.4972 |    0.8386 |   0.08074 |
+#&gt; |.....................|    0.6445 |     1.946 |     1.477 |     1.348 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.794 |     1.297 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    3</span>|     557.60681 |    0.9257 |   -0.9995 |   -0.9407 |   -0.9680 |
+#&gt; |.....................|   -0.9992 |   -0.9232 |   -0.8787 |   -0.8790 |
+#&gt; |.....................|   -0.9150 |   -0.8703 |   -0.8821 |   -0.8842 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8739 |   -0.8885 |...........|...........|</span>
+#&gt; |    U|     557.60681 |     94.11 |    -4.053 |   -0.9430 |    -2.360 |
+#&gt; |.....................|    -4.069 |  -0.01133 |    0.7386 |   0.06794 |
+#&gt; |.....................|    0.6735 |     1.622 |     1.284 |     1.172 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.513 |     1.165 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     557.60681</span> |     94.11 |   0.01736 |    0.2803 |   0.09444 |
+#&gt; |.....................|   0.01709 |    0.4972 |    0.7386 |   0.06794 |
+#&gt; |.....................|    0.6735 |     1.622 |     1.284 |     1.172 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.513 |     1.165 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    4</span>|     543.47785 |    0.9926 |   -0.9997 |   -0.9408 |   -0.9677 |
+#&gt; |.....................|   -0.9999 |   -0.9232 |   -0.9062 |   -0.9175 |
+#&gt; |.....................|   -0.9107 |   -0.8907 |   -0.8974 |   -0.8995 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8929 |   -0.9000 |...........|...........|</span>
+#&gt; |    U|     543.47785 |     100.9 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7286 |   0.06666 |
+#&gt; |.....................|    0.6764 |     1.589 |     1.264 |     1.154 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.485 |     1.152 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     543.47785</span> |     100.9 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7286 |   0.06666 |
+#&gt; |.....................|    0.6764 |     1.589 |     1.264 |     1.154 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.485 |     1.152 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    5</span>|     544.09017 |    0.9993 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9089 |   -0.9213 |
+#&gt; |.....................|   -0.9103 |   -0.8928 |   -0.8990 |   -0.9010 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8948 |   -0.9011 |...........|...........|</span>
+#&gt; |    U|     544.09017 |     101.6 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7276 |   0.06654 |
+#&gt; |.....................|    0.6767 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.09017</span> |     101.6 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7276 |   0.06654 |
+#&gt; |.....................|    0.6767 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    6</span>|     544.17109 |    0.9999 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8949 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.17109 |     101.6 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.17109</span> |     101.6 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    7</span>|     544.17937 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.17937 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.17937</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    8</span>|     544.18025 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.18025 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.18025</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>    9</span>|     544.18033 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.18033 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.18033</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   10</span>|     544.18034 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.18034 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.18034</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   11</span>|     544.18036 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.18036 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.18036</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   12</span>|     544.18036 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.18036 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.18036</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   13</span>|     544.18036 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.18036 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.18036</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   14</span>|     544.18036 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.18036 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.18036</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   15</span>|     544.18036 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.18036 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.18036</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   16</span>|     544.18036 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.18036 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.18036</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |<span style='font-weight: bold;'>   17</span>|     544.18036 |     1.000 |   -0.9997 |   -0.9408 |   -0.9676 |
+#&gt; |.....................|    -1.000 |   -0.9232 |   -0.9092 |   -0.9217 |
+#&gt; |.....................|   -0.9102 |   -0.8930 |   -0.8991 |   -0.9012 |
+#&gt; <span style='text-decoration: underline;'>|.....................|   -0.8950 |   -0.9012 |...........|...........|</span>
+#&gt; |    U|     544.18036 |     101.7 |    -4.054 |   -0.9431 |    -2.359 |
+#&gt; |.....................|    -4.070 |  -0.01132 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; |    X|<span style='font-weight: bold;'>     544.18036</span> |     101.7 |   0.01736 |    0.2803 |   0.09447 |
+#&gt; |.....................|   0.01708 |    0.4972 |    0.7275 |   0.06652 |
+#&gt; |.....................|    0.6768 |     1.586 |     1.262 |     1.152 |
+#&gt; <span style='text-decoration: underline;'>|.....................|     1.482 |     1.151 |...........|...........|</span>
+#&gt; calculating covariance matrix
+#&gt; done</div><div class='output co'>#&gt; <span class='message'>Calculating residuals/tables</span></div><div class='output co'>#&gt; <span class='message'>done</span></div><div class='output co'>#&gt; <span class='warning'>Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: last objective function was not at minimum, possible problems in optimization</span></div><div class='output co'>#&gt; <span class='warning'>Warning: using R matrix to calculate covariance, can check sandwich or S matrix with $covRS and $covS</span></div><div class='output co'>#&gt; <span class='warning'>Warning: gradient problems with initial estimate and covariance; see $scaleInfo</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f_nlmixr_dfop_sfo_saem</span><span class='op'>$</span><span class='va'>nm</span>, <span class='va'>f_nlmixr_dfop_sfo_focei</span><span class='op'>$</span><span class='va'>nm</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'>Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)</span></div><div class='output co'>#&gt; </div><div class='output co'>#&gt;                            df      AIC
+#&gt; f_nlmixr_dfop_sfo_saem$nm  16      Inf
+#&gt; f_nlmixr_dfop_sfo_focei$nm 14 886.4573</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>f_nlmixr_dfop_sfo_sfo</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'summary': object 'f_nlmixr_dfop_sfo_sfo' not found</span></div><div class='input'><span class='co'># }</span>
+
+</div></pre>
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+    <nav id="toc" data-toggle="toc" class="sticky-top">
+      <h2 data-toc-skip>Contents</h2>
+    </nav>
+  </div>
+</div>
+
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+</div>
+
+      </footer>
+   </div>
+
+  
+
+
+  </body>
+</html>
+
+
diff --git a/docs/dev/reference/summary.saem.mmkin.html b/docs/dev/reference/summary.saem.mmkin.html
index 722415fb..fe537320 100644
--- a/docs/dev/reference/summary.saem.mmkin.html
+++ b/docs/dev/reference/summary.saem.mmkin.html
@@ -76,7 +76,7 @@ endpoints such as formation fractions and DT50 values. Optionally
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
       </span>
     </div>
 
@@ -259,272 +259,8 @@ saemix authors for the parts inherited from saemix.</p>
 <span class='va'>f_mmkin_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='va'>dfop_sfo</span><span class='op'>)</span>, <span class='va'>ds_syn_dfop_sfo</span>,
   quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span>, cores <span class='op'>=</span> <span class='fl'>5</span><span class='op'>)</span>
 <span class='va'>f_saem_dfop_sfo</span> <span class='op'>&lt;-</span> <span class='fu'><a href='saem.html'>saem</a></span><span class='op'>(</span><span class='va'>f_mmkin_dfop_sfo</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Running main SAEM algorithm
-#&gt; [1] "Mon Jan 11 12:42:40 2021"
-#&gt; ....
-#&gt;     Minimisation finished
-#&gt; [1] "Mon Jan 11 12:42:53 2021"</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; saemix version used for fitting:      3.1.9000 
-#&gt; mkin version used for pre-fitting:  0.9.50.4 
-#&gt; R version used for fitting:         4.0.3 
-#&gt; Date of fit:     Mon Jan 11 12:42:54 2021 
-#&gt; Date of summary: Mon Jan 11 12:42:54 2021 
-#&gt; 
-#&gt; Equations:
-#&gt; d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
-#&gt;            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
-#&gt;            * parent
-#&gt; d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
-#&gt;            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
-#&gt;            exp(-k2 * time))) * parent - k_m1 * m1
-#&gt; 
-#&gt; Data:
-#&gt; 171 observations of 2 variable(s) grouped in 5 datasets
-#&gt; 
-#&gt; Model predictions using solution type analytical 
-#&gt; 
-#&gt; Fitted in 13.298 s using 300, 100 iterations
-#&gt; 
-#&gt; Variance model: Two-component variance function 
-#&gt; 
-#&gt; Mean of starting values for individual parameters:
-#&gt;        parent_0        log_k_m1 f_parent_qlogis          log_k1          log_k2 
-#&gt;       101.65645        -4.05368        -0.94311        -2.35943        -4.07006 
-#&gt;        g_qlogis 
-#&gt;        -0.01133 
-#&gt; 
-#&gt; Fixed degradation parameter values:
-#&gt; None
-#&gt; 
-#&gt; Results:
-#&gt; 
-#&gt; Likelihood computed by importance sampling
-#&gt;   AIC   BIC logLik
-#&gt;   830 824.5   -401
-#&gt; 
-#&gt; Optimised parameters:
-#&gt;                     est.  lower    upper
-#&gt; parent_0        101.4423 97.862 105.0224
-#&gt; log_k_m1         -4.0703 -4.191  -3.9495
-#&gt; f_parent_qlogis  -0.9539 -1.313  -0.5949
-#&gt; log_k1           -2.9724 -3.811  -2.1342
-#&gt; log_k2           -3.4977 -4.206  -2.7895
-#&gt; g_qlogis         -0.0449 -1.116   1.0262
-#&gt; 
-#&gt; Correlation: 
-#&gt;                 prnt_0 lg_k_1 f_prn_ log_k1 log_k2
-#&gt; log_k_m1        -0.207                            
-#&gt; f_parent_qlogis -0.148  0.202                     
-#&gt; log_k1           0.040 -0.038 -0.022              
-#&gt; log_k2           0.022 -0.015 -0.009  0.001       
-#&gt; g_qlogis        -0.012  0.005  0.011 -0.173 -0.130
-#&gt; 
-#&gt; Random effects:
-#&gt;                       est.   lower  upper
-#&gt; SD.parent_0        2.88564 -0.5163 6.2876
-#&gt; SD.log_k_m1        0.08502 -0.0427 0.2127
-#&gt; SD.f_parent_qlogis 0.38857  0.1350 0.6421
-#&gt; SD.log_k1          0.92338  0.3296 1.5172
-#&gt; SD.log_k2          0.78644  0.2817 1.2912
-#&gt; SD.g_qlogis        0.34614 -0.8727 1.5650
-#&gt; 
-#&gt; Variance model:
-#&gt;        est.   lower   upper
-#&gt; a.1 0.65859 0.49250 0.82469
-#&gt; b.1 0.06411 0.05006 0.07817
-#&gt; 
-#&gt; Backtransformed parameters:
-#&gt;                     est.    lower     upper
-#&gt; parent_0       101.44231 97.86220 105.02241
-#&gt; k_m1             0.01707  0.01513   0.01926
-#&gt; f_parent_to_m1   0.27811  0.21201   0.35551
-#&gt; k1               0.05118  0.02213   0.11834
-#&gt; k2               0.03027  0.01491   0.06145
-#&gt; g                0.48878  0.24675   0.73618
-#&gt; 
-#&gt; Resulting formation fractions:
-#&gt;                 ff
-#&gt; parent_m1   0.2781
-#&gt; parent_sink 0.7219
-#&gt; 
-#&gt; Estimated disappearance times:
-#&gt;         DT50   DT90 DT50back DT50_k1 DT50_k2
-#&gt; parent 17.53  61.64    18.55   13.54    22.9
-#&gt; m1     40.60 134.88       NA      NA      NA
-#&gt; 
-#&gt; Data:
-#&gt;    ds   name time observed  predicted   residual    std standardized
-#&gt;  ds 1 parent    0     89.8  9.869e+01   8.894553 6.3618     1.398124
-#&gt;  ds 1 parent    0    104.1  9.869e+01  -5.405447 6.3618    -0.849676
-#&gt;  ds 1 parent    1     88.7  9.413e+01   5.426448 6.0706     0.893897
-#&gt;  ds 1 parent    1     95.5  9.413e+01  -1.373552 6.0706    -0.226265
-#&gt;  ds 1 parent    3     81.8  8.576e+01   3.961821 5.5377     0.715422
-#&gt;  ds 1 parent    3     94.5  8.576e+01  -8.738179 5.5377    -1.577932
-#&gt;  ds 1 parent    7     71.5  7.168e+01   0.184828 4.6429     0.039809
-#&gt;  ds 1 parent    7     70.3  7.168e+01   1.384828 4.6429     0.298270
-#&gt;  ds 1 parent   14     54.2  5.351e+01  -0.688235 3.4934    -0.197008
-#&gt;  ds 1 parent   14     49.6  5.351e+01   3.911765 3.4934     1.119747
-#&gt;  ds 1 parent   28     31.5  3.209e+01   0.590445 2.1603     0.273322
-#&gt;  ds 1 parent   28     28.8  3.209e+01   3.290445 2.1603     1.523177
-#&gt;  ds 1 parent   60     12.1  1.272e+01   0.618158 1.0481     0.589761
-#&gt;  ds 1 parent   60     13.6  1.272e+01  -0.881842 1.0481    -0.841332
-#&gt;  ds 1 parent   90      6.2  6.085e+00  -0.115212 0.7655    -0.150512
-#&gt;  ds 1 parent   90      8.3  6.085e+00  -2.215212 0.7655    -2.893953
-#&gt;  ds 1 parent  120      2.2  3.009e+00   0.809439 0.6863     1.179470
-#&gt;  ds 1 parent  120      2.4  3.009e+00   0.609439 0.6863     0.888041
-#&gt;  ds 1     m1    1      0.3  1.129e+00   0.828817 0.6626     1.250938
-#&gt;  ds 1     m1    1      0.2  1.129e+00   0.928817 0.6626     1.401869
-#&gt;  ds 1     m1    3      2.2  3.141e+00   0.940880 0.6887     1.366187
-#&gt;  ds 1     m1    3      3.0  3.141e+00   0.140880 0.6887     0.204562
-#&gt;  ds 1     m1    7      6.5  6.326e+00  -0.174162 0.7735    -0.225175
-#&gt;  ds 1     m1    7      5.0  6.326e+00   1.325838 0.7735     1.714181
-#&gt;  ds 1     m1   14     10.2  9.883e+00  -0.317417 0.9139    -0.347326
-#&gt;  ds 1     m1   14      9.5  9.883e+00   0.382583 0.9139     0.418631
-#&gt;  ds 1     m1   28     12.2  1.251e+01   0.309856 1.0378     0.298572
-#&gt;  ds 1     m1   28     13.4  1.251e+01  -0.890144 1.0378    -0.857726
-#&gt;  ds 1     m1   60     11.8  1.086e+01  -0.940009 0.9584    -0.980812
-#&gt;  ds 1     m1   60     13.2  1.086e+01  -2.340009 0.9584    -2.441581
-#&gt;  ds 1     m1   90      6.6  7.823e+00   1.222977 0.8278     1.477332
-#&gt;  ds 1     m1   90      9.3  7.823e+00  -1.477023 0.8278    -1.784214
-#&gt;  ds 1     m1  120      3.5  5.315e+00   1.815201 0.7415     2.447906
-#&gt;  ds 1     m1  120      5.4  5.315e+00  -0.084799 0.7415    -0.114356
-#&gt;  ds 2 parent    0    118.0  1.031e+02 -14.876736 6.6443    -2.239038
-#&gt;  ds 2 parent    0     99.8  1.031e+02   3.323264 6.6443     0.500171
-#&gt;  ds 2 parent    1     90.2  9.757e+01   7.371379 6.2902     1.171891
-#&gt;  ds 2 parent    1     94.6  9.757e+01   2.971379 6.2902     0.472386
-#&gt;  ds 2 parent    3     96.1  8.788e+01  -8.222746 5.6724    -1.449599
-#&gt;  ds 2 parent    3     78.4  8.788e+01   9.477254 5.6724     1.670758
-#&gt;  ds 2 parent    7     77.9  7.293e+01  -4.972272 4.7218    -1.053054
-#&gt;  ds 2 parent    7     77.7  7.293e+01  -4.772272 4.7218    -1.010697
-#&gt;  ds 2 parent   14     56.0  5.602e+01   0.016773 3.6513     0.004594
-#&gt;  ds 2 parent   14     54.7  5.602e+01   1.316773 3.6513     0.360633
-#&gt;  ds 2 parent   28     36.6  3.855e+01   1.945779 2.5575     0.760803
-#&gt;  ds 2 parent   28     36.8  3.855e+01   1.745779 2.5575     0.682603
-#&gt;  ds 2 parent   60     22.1  2.101e+01  -1.086693 1.4996    -0.724663
-#&gt;  ds 2 parent   60     24.7  2.101e+01  -3.686693 1.4996    -2.458475
-#&gt;  ds 2 parent   90     12.4  1.246e+01   0.058759 1.0353     0.056757
-#&gt;  ds 2 parent   90     10.8  1.246e+01   1.658759 1.0353     1.602256
-#&gt;  ds 2 parent  120      6.8  7.406e+00   0.606226 0.8119     0.746659
-#&gt;  ds 2 parent  120      7.9  7.406e+00  -0.493774 0.8119    -0.608157
-#&gt;  ds 2     m1    1      1.3  1.438e+00   0.138236 0.6650     0.207869
-#&gt;  ds 2     m1    3      3.7  3.879e+00   0.178617 0.7040     0.253726
-#&gt;  ds 2     m1    3      4.7  3.879e+00  -0.821383 0.7040    -1.166780
-#&gt;  ds 2     m1    7      8.1  7.389e+00  -0.710951 0.8113    -0.876337
-#&gt;  ds 2     m1    7      7.9  7.389e+00  -0.510951 0.8113    -0.629812
-#&gt;  ds 2     m1   14     10.1  1.069e+01   0.593533 0.9507     0.624328
-#&gt;  ds 2     m1   14     10.3  1.069e+01   0.393533 0.9507     0.413951
-#&gt;  ds 2     m1   28     10.7  1.240e+01   1.703647 1.0325     1.649956
-#&gt;  ds 2     m1   28     12.2  1.240e+01   0.203647 1.0325     0.197229
-#&gt;  ds 2     m1   60     10.7  1.055e+01  -0.147672 0.9442    -0.156405
-#&gt;  ds 2     m1   60     12.5  1.055e+01  -1.947672 0.9442    -2.062848
-#&gt;  ds 2     m1   90      9.1  8.010e+00  -1.090041 0.8351    -1.305210
-#&gt;  ds 2     m1   90      7.4  8.010e+00   0.609959 0.8351     0.730362
-#&gt;  ds 2     m1  120      6.1  5.793e+00  -0.306797 0.7561    -0.405759
-#&gt;  ds 2     m1  120      4.5  5.793e+00   1.293203 0.7561     1.710347
-#&gt;  ds 3 parent    0    106.2  1.035e+02  -2.712344 6.6675    -0.406801
-#&gt;  ds 3 parent    0    106.9  1.035e+02  -3.412344 6.6675    -0.511788
-#&gt;  ds 3 parent    1    107.4  9.548e+01 -11.924044 6.1566    -1.936801
-#&gt;  ds 3 parent    1     96.1  9.548e+01  -0.624044 6.1566    -0.101362
-#&gt;  ds 3 parent    3     79.4  8.246e+01   3.056105 5.3274     0.573662
-#&gt;  ds 3 parent    3     82.6  8.246e+01  -0.143895 5.3274    -0.027010
-#&gt;  ds 3 parent    7     63.9  6.489e+01   0.991141 4.2122     0.235304
-#&gt;  ds 3 parent    7     62.4  6.489e+01   2.491141 4.2122     0.591416
-#&gt;  ds 3 parent   14     51.0  4.869e+01  -2.306824 3.1906    -0.723013
-#&gt;  ds 3 parent   14     47.1  4.869e+01   1.593176 3.1906     0.499338
-#&gt;  ds 3 parent   28     36.1  3.480e+01  -1.304261 2.3260    -0.560722
-#&gt;  ds 3 parent   28     36.6  3.480e+01  -1.804261 2.3260    -0.775679
-#&gt;  ds 3 parent   60     20.1  1.988e+01  -0.221952 1.4346    -0.154719
-#&gt;  ds 3 parent   60     19.8  1.988e+01   0.078048 1.4346     0.054406
-#&gt;  ds 3 parent   90     11.3  1.194e+01   0.642458 1.0099     0.636132
-#&gt;  ds 3 parent   90     10.7  1.194e+01   1.242458 1.0099     1.230224
-#&gt;  ds 3 parent  120      8.2  7.176e+00  -1.023847 0.8034    -1.274423
-#&gt;  ds 3 parent  120      7.3  7.176e+00  -0.123847 0.8034    -0.154158
-#&gt;  ds 3     m1    0      0.8  8.527e-13  -0.800000 0.6586    -1.214712
-#&gt;  ds 3     m1    1      1.8  1.856e+00   0.055925 0.6693     0.083562
-#&gt;  ds 3     m1    1      2.3  1.856e+00  -0.444075 0.6693    -0.663537
-#&gt;  ds 3     m1    3      4.2  4.780e+00   0.580164 0.7264     0.798676
-#&gt;  ds 3     m1    3      4.1  4.780e+00   0.680164 0.7264     0.936340
-#&gt;  ds 3     m1    7      6.8  8.410e+00   1.609920 0.8512     1.891455
-#&gt;  ds 3     m1    7     10.1  8.410e+00  -1.690080 0.8512    -1.985633
-#&gt;  ds 3     m1   14     11.4  1.098e+01  -0.424444 0.9638    -0.440389
-#&gt;  ds 3     m1   14     12.8  1.098e+01  -1.824444 0.9638    -1.892979
-#&gt;  ds 3     m1   28     11.5  1.142e+01  -0.079336 0.9848    -0.080558
-#&gt;  ds 3     m1   28     10.6  1.142e+01   0.820664 0.9848     0.833311
-#&gt;  ds 3     m1   60      7.5  9.110e+00   1.610231 0.8803     1.829222
-#&gt;  ds 3     m1   60      8.6  9.110e+00   0.510231 0.8803     0.579622
-#&gt;  ds 3     m1   90      7.3  6.799e+00  -0.501085 0.7898    -0.634463
-#&gt;  ds 3     m1   90      8.1  6.799e+00  -1.301085 0.7898    -1.647404
-#&gt;  ds 3     m1  120      5.3  4.868e+00  -0.431505 0.7288    -0.592064
-#&gt;  ds 3     m1  120      3.8  4.868e+00   1.068495 0.7288     1.466073
-#&gt;  ds 4 parent    0    104.7  9.926e+01  -5.444622 6.3975    -0.851049
-#&gt;  ds 4 parent    0     88.3  9.926e+01  10.955378 6.3975     1.712436
-#&gt;  ds 4 parent    1     94.2  9.618e+01   1.978413 6.2013     0.319030
-#&gt;  ds 4 parent    1     94.6  9.618e+01   1.578413 6.2013     0.254527
-#&gt;  ds 4 parent    3     78.1  9.037e+01  12.268550 5.8311     2.103985
-#&gt;  ds 4 parent    3     96.5  9.037e+01  -6.131450 5.8311    -1.051508
-#&gt;  ds 4 parent    7     76.2  7.999e+01   3.794958 5.1708     0.733918
-#&gt;  ds 4 parent    7     77.8  7.999e+01   2.194958 5.1708     0.424489
-#&gt;  ds 4 parent   14     70.8  6.518e+01  -5.624996 4.2301    -1.329742
-#&gt;  ds 4 parent   14     67.3  6.518e+01  -2.124996 4.2301    -0.502346
-#&gt;  ds 4 parent   28     43.1  4.462e+01   1.517860 2.9354     0.517085
-#&gt;  ds 4 parent   28     45.1  4.462e+01  -0.482140 2.9354    -0.164249
-#&gt;  ds 4 parent   60     21.3  2.130e+01  -0.003305 1.5159    -0.002180
-#&gt;  ds 4 parent   60     23.5  2.130e+01  -2.203305 1.5159    -1.453435
-#&gt;  ds 4 parent   90     11.8  1.180e+01   0.002834 1.0032     0.002825
-#&gt;  ds 4 parent   90     12.1  1.180e+01  -0.297166 1.0032    -0.296226
-#&gt;  ds 4 parent  120      7.0  6.868e+00  -0.132251 0.7922    -0.166937
-#&gt;  ds 4 parent  120      6.2  6.868e+00   0.667749 0.7922     0.842879
-#&gt;  ds 4     m1    0      1.6  0.000e+00  -1.600000 0.6586    -2.429424
-#&gt;  ds 4     m1    1      0.9  6.826e-01  -0.217363 0.6600    -0.329315
-#&gt;  ds 4     m1    3      3.7  1.935e+00  -1.765082 0.6702    -2.633768
-#&gt;  ds 4     m1    3      2.0  1.935e+00  -0.065082 0.6702    -0.097112
-#&gt;  ds 4     m1    7      3.6  4.035e+00   0.434805 0.7076     0.614501
-#&gt;  ds 4     m1    7      3.8  4.035e+00   0.234805 0.7076     0.331845
-#&gt;  ds 4     m1   14      7.1  6.652e+00  -0.448187 0.7846    -0.571220
-#&gt;  ds 4     m1   14      6.6  6.652e+00   0.051813 0.7846     0.066036
-#&gt;  ds 4     m1   28      9.5  9.156e+00  -0.343805 0.8822    -0.389696
-#&gt;  ds 4     m1   28      9.3  9.156e+00  -0.143805 0.8822    -0.163000
-#&gt;  ds 4     m1   60      8.3  8.848e+00   0.547762 0.8692     0.630185
-#&gt;  ds 4     m1   60      9.0  8.848e+00  -0.152238 0.8692    -0.175146
-#&gt;  ds 4     m1   90      6.6  6.674e+00   0.073979 0.7854     0.094194
-#&gt;  ds 4     m1   90      7.7  6.674e+00  -1.026021 0.7854    -1.306390
-#&gt;  ds 4     m1  120      3.7  4.668e+00   0.967537 0.7234     1.337503
-#&gt;  ds 4     m1  120      3.5  4.668e+00   1.167537 0.7234     1.613979
-#&gt;  ds 5 parent    0    110.4  1.022e+02  -8.170986 6.5872    -1.240433
-#&gt;  ds 5 parent    0    112.1  1.022e+02  -9.870986 6.5872    -1.498509
-#&gt;  ds 5 parent    1     93.5  9.513e+01   1.630764 6.1346     0.265832
-#&gt;  ds 5 parent    1     91.0  9.513e+01   4.130764 6.1346     0.673359
-#&gt;  ds 5 parent    3     71.0  8.296e+01  11.964279 5.3597     2.232268
-#&gt;  ds 5 parent    3     89.7  8.296e+01  -6.735721 5.3597    -1.256735
-#&gt;  ds 5 parent    7     60.4  6.495e+01   4.547441 4.2157     1.078684
-#&gt;  ds 5 parent    7     59.1  6.495e+01   5.847441 4.2157     1.387053
-#&gt;  ds 5 parent   14     56.5  4.626e+01 -10.241319 3.0380    -3.371047
-#&gt;  ds 5 parent   14     47.0  4.626e+01  -0.741319 3.0380    -0.244014
-#&gt;  ds 5 parent   28     30.2  3.026e+01   0.058478 2.0487     0.028544
-#&gt;  ds 5 parent   28     23.9  3.026e+01   6.358478 2.0487     3.103661
-#&gt;  ds 5 parent   60     17.0  1.792e+01   0.919046 1.3242     0.694024
-#&gt;  ds 5 parent   60     18.7  1.792e+01  -0.780954 1.3242    -0.589742
-#&gt;  ds 5 parent   90     11.3  1.187e+01   0.573917 1.0066     0.570144
-#&gt;  ds 5 parent   90     11.9  1.187e+01  -0.026083 1.0066    -0.025912
-#&gt;  ds 5 parent  120      9.0  7.898e+00  -1.102089 0.8307    -1.326622
-#&gt;  ds 5 parent  120      8.1  7.898e+00  -0.202089 0.8307    -0.243261
-#&gt;  ds 5     m1    0      0.7 -1.421e-14  -0.700000 0.6586    -1.062873
-#&gt;  ds 5     m1    1      3.0  3.144e+00   0.143526 0.6887     0.208390
-#&gt;  ds 5     m1    1      2.6  3.144e+00   0.543526 0.6887     0.789161
-#&gt;  ds 5     m1    3      5.1  8.390e+00   3.290265 0.8504     3.869277
-#&gt;  ds 5     m1    3      7.5  8.390e+00   0.890265 0.8504     1.046932
-#&gt;  ds 5     m1    7     16.5  1.566e+01  -0.841368 1.2007    -0.700751
-#&gt;  ds 5     m1    7     19.0  1.566e+01  -3.341368 1.2007    -2.782928
-#&gt;  ds 5     m1   14     22.9  2.188e+01  -1.017753 1.5498    -0.656687
-#&gt;  ds 5     m1   14     23.2  2.188e+01  -1.317753 1.5498    -0.850257
-#&gt;  ds 5     m1   28     22.2  2.386e+01   1.655914 1.6652     0.994399
-#&gt;  ds 5     m1   28     24.4  2.386e+01  -0.544086 1.6652    -0.326731
-#&gt;  ds 5     m1   60     15.5  1.859e+01   3.091124 1.3618     2.269915
-#&gt;  ds 5     m1   60     19.8  1.859e+01  -1.208876 1.3618    -0.887718
-#&gt;  ds 5     m1   90     14.9  1.372e+01  -1.176815 1.0990    -1.070784
-#&gt;  ds 5     m1   90     14.2  1.372e+01  -0.476815 1.0990    -0.433854
-#&gt;  ds 5     m1  120     10.9  9.961e+00  -0.938796 0.9174    -1.023332
-#&gt;  ds 5     m1  120     10.4  9.961e+00  -0.438796 0.9174    -0.478308</div><div class='input'><span class='co'># }</span>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#&gt; <span class='message'> </span></div><div class='output co'>#&gt; <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'summary': object 'f_saem_dfop_sfo' not found</span></div><div class='input'><span class='co'># }</span>
 
 </div></pre>
   </div>
diff --git a/docs/dev/reference/synthetic_data_for_UBA_2014-1.png b/docs/dev/reference/synthetic_data_for_UBA_2014-1.png
index 351b21aa..89975db5 100644
--- a/docs/dev/reference/synthetic_data_for_UBA_2014-1.png
+++ b/docs/dev/reference/synthetic_data_for_UBA_2014-1.png
diff --git a/docs/dev/reference/synthetic_data_for_UBA_2014.html b/docs/dev/reference/synthetic_data_for_UBA_2014.html
index 1edc7c1e..33a0ace2 100644
--- a/docs/dev/reference/synthetic_data_for_UBA_2014.html
+++ b/docs/dev/reference/synthetic_data_for_UBA_2014.html
@@ -87,7 +87,7 @@ Compare also the code in the example section to see the degradation models." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -136,7 +136,7 @@ Compare also the code in the example section to see the degradation models." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -297,10 +297,10 @@ Compare also the code in the example section to see the degradation models." />
                  quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
   <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
 </div><div class='img'><img src='synthetic_data_for_UBA_2014-1.png' alt='' width='700' height='433' /></div><div class='input'>  <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; mkin version used for fitting:    0.9.50.4 
+</div><div class='output co'>#&gt; mkin version used for fitting:    1.0.3.9000 
 #&gt; R version used for fitting:       4.0.3 
-#&gt; Date of fit:     Mon Nov 30 16:01:42 2020 
-#&gt; Date of summary: Mon Nov 30 16:01:42 2020 
+#&gt; Date of fit:     Mon Feb 15 17:13:29 2021 
+#&gt; Date of summary: Mon Feb 15 17:13:29 2021 
 #&gt; 
 #&gt; Equations:
 #&gt; d_parent/dt = - k_parent * parent
@@ -309,7 +309,7 @@ Compare also the code in the example section to see the degradation models." />
 #&gt; 
 #&gt; Model predictions using solution type deSolve 
 #&gt; 
-#&gt; Fitted using 822 model solutions performed in 0.652 s
+#&gt; Fitted using 833 model solutions performed in 0.649 s
 #&gt; 
 #&gt; Error model: Constant variance 
 #&gt; 
@@ -361,15 +361,15 @@ Compare also the code in the example section to see the degradation models." />
 #&gt; log_k_M2         2.819e-02    7.166e-02 -3.929e-01  1.000e+00      -2.658e-01
 #&gt; f_parent_qlogis -4.624e-01   -5.682e-01  7.478e-01 -2.658e-01       1.000e+00
 #&gt; f_M1_qlogis      1.614e-01    4.102e-01 -8.109e-01  5.419e-01      -8.605e-01
-#&gt; sigma           -7.941e-08   -9.143e-09 -1.268e-08  5.947e-08       5.657e-08
+#&gt; sigma           -2.900e-08   -8.030e-09 -2.741e-08  3.938e-08      -2.681e-08
 #&gt;                 f_M1_qlogis      sigma
-#&gt; parent_0          1.614e-01 -7.941e-08
-#&gt; log_k_parent      4.102e-01 -9.143e-09
-#&gt; log_k_M1         -8.109e-01 -1.268e-08
-#&gt; log_k_M2          5.419e-01  5.947e-08
-#&gt; f_parent_qlogis  -8.605e-01  5.657e-08
-#&gt; f_M1_qlogis       1.000e+00 -2.382e-10
-#&gt; sigma            -2.382e-10  1.000e+00
+#&gt; parent_0          1.614e-01 -2.900e-08
+#&gt; log_k_parent      4.102e-01 -8.030e-09
+#&gt; log_k_M1         -8.109e-01 -2.741e-08
+#&gt; log_k_M2          5.419e-01  3.938e-08
+#&gt; f_parent_qlogis  -8.605e-01 -2.681e-08
+#&gt; f_M1_qlogis       1.000e+00  4.971e-08
+#&gt; sigma             4.971e-08  1.000e+00
 #&gt; 
 #&gt; Backtransformed parameters:
 #&gt; Confidence intervals for internally transformed parameters are asymmetric.
@@ -416,7 +416,7 @@ Compare also the code in the example section to see the degradation models." />
 #&gt;     7   parent      0.3  5.772e-01 -0.27717
 #&gt;    14   parent      3.5  3.264e-03  3.49674
 #&gt;    28   parent      3.2  1.045e-07  3.20000
-#&gt;    90   parent      0.6  9.532e-10  0.60000
+#&gt;    90   parent      0.6  9.530e-10  0.60000
 #&gt;   120   parent      3.5 -5.940e-10  3.50000
 #&gt;     1       M1     36.4  3.479e+01  1.61088
 #&gt;     1       M1     37.4  3.479e+01  2.61088
@@ -427,7 +427,7 @@ Compare also the code in the example section to see the degradation models." />
 #&gt;    14       M1      5.8  1.995e+00  3.80469
 #&gt;    14       M1      1.2  1.995e+00 -0.79531
 #&gt;    60       M1      0.5  2.111e-06  0.50000
-#&gt;    90       M1      3.2 -9.671e-10  3.20000
+#&gt;    90       M1      3.2 -9.670e-10  3.20000
 #&gt;   120       M1      1.5  7.670e-10  1.50000
 #&gt;   120       M1      0.6  7.670e-10  0.60000
 #&gt;     1       M2      4.8  4.455e+00  0.34517
diff --git a/docs/dev/reference/test_data_from_UBA_2014-1.png b/docs/dev/reference/test_data_from_UBA_2014-1.png
index 9e0afad2..7bf0bd0f 100644
--- a/docs/dev/reference/test_data_from_UBA_2014-1.png
+++ b/docs/dev/reference/test_data_from_UBA_2014-1.png
diff --git a/docs/dev/reference/test_data_from_UBA_2014-2.png b/docs/dev/reference/test_data_from_UBA_2014-2.png
index e889efde..fc1f77e0 100644
--- a/docs/dev/reference/test_data_from_UBA_2014-2.png
+++ b/docs/dev/reference/test_data_from_UBA_2014-2.png
diff --git a/docs/dev/reference/test_data_from_UBA_2014.html b/docs/dev/reference/test_data_from_UBA_2014.html
index 89ec3480..539b8287 100644
--- a/docs/dev/reference/test_data_from_UBA_2014.html
+++ b/docs/dev/reference/test_data_from_UBA_2014.html
@@ -73,7 +73,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -122,7 +122,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -203,25 +203,25 @@
 </div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'>  <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span><span class='op'>(</span><span class='va'>f_soil</span>, lpos <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"topright"</span>, <span class='st'>"topright"</span>, <span class='st'>"topright"</span>, <span class='st'>"bottomright"</span><span class='op'>)</span><span class='op'>)</span>
 </div><div class='img'><img src='test_data_from_UBA_2014-2.png' alt='' width='700' height='433' /></div><div class='input'>  <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>f_soil</span><span class='op'>)</span><span class='op'>$</span><span class='va'>bpar</span>
 </div><div class='output co'>#&gt;                   Estimate  se_notrans    t value       Pr(&gt;t)        Lower
-#&gt; parent_0       76.55425649 0.859186399 89.1008710 1.113861e-26 74.755959406
+#&gt; parent_0       76.55425650 0.859186399 89.1008710 1.113861e-26 74.755959418
 #&gt; k_parent        0.12081956 0.004601918 26.2541722 1.077359e-16  0.111561575
-#&gt; k_M1            0.84258614 0.806159820  1.0451850 1.545267e-01  0.113779670
-#&gt; k_M2            0.04210880 0.017083035  2.4649483 1.170188e-02  0.018013857
-#&gt; k_M3            0.01122918 0.007245855  1.5497385 6.885052e-02  0.002909431
-#&gt; f_parent_to_M1  0.32240200 0.240783909  1.3389682 9.819073e-02           NA
-#&gt; f_parent_to_M2  0.16099855 0.033691953  4.7785463 6.531137e-05           NA
-#&gt; f_M1_to_M3      0.27921507 0.269423745  1.0363417 1.565266e-01  0.022978220
-#&gt; f_M2_to_M3      0.55641253 0.595119954  0.9349586 1.807707e-01  0.008002509
+#&gt; k_M1            0.84258615 0.806160102  1.0451846 1.545268e-01  0.113779609
+#&gt; k_M2            0.04210880 0.017083034  2.4649483 1.170188e-02  0.018013857
+#&gt; k_M3            0.01122918 0.007245856  1.5497385 6.885052e-02  0.002909431
+#&gt; f_parent_to_M1  0.32240200 0.240783943  1.3389680 9.819076e-02           NA
+#&gt; f_parent_to_M2  0.16099855 0.033691952  4.7785464 6.531136e-05           NA
+#&gt; f_M1_to_M3      0.27921507 0.269423780  1.0363416 1.565267e-01  0.022978205
+#&gt; f_M2_to_M3      0.55641252 0.595119966  0.9349586 1.807707e-01  0.008002509
 #&gt; sigma           1.14005399 0.149696423  7.6157731 1.727024e-07  0.826735778
 #&gt;                      Upper
-#&gt; parent_0       78.35255357
+#&gt; parent_0       78.35255358
 #&gt; k_parent        0.13084582
-#&gt; k_M1            6.23970352
+#&gt; k_M1            6.23970702
 #&gt; k_M2            0.09843260
 #&gt; k_M3            0.04333992
 #&gt; f_parent_to_M1          NA
 #&gt; f_parent_to_M2          NA
-#&gt; f_M1_to_M3      0.86450768
+#&gt; f_M1_to_M3      0.86450775
 #&gt; f_M2_to_M3      0.99489895
 #&gt; sigma           1.45337221</div><div class='input'>  <span class='fu'><a href='mkinerrmin.html'>mkinerrmin</a></span><span class='op'>(</span><span class='va'>f_soil</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;             err.min n.optim df
diff --git a/docs/dev/reference/tffm0.html b/docs/dev/reference/tffm0.html
new file mode 100644
index 00000000..c7b5b6de
--- /dev/null
+++ b/docs/dev/reference/tffm0.html
@@ -0,0 +1,226 @@
+<!-- Generated by pkgdown: do not edit by hand -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+  <meta charset="utf-8">
+<meta http-equiv="X-UA-Compatible" content="IE=edge">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Transform formation fractions as in the first published mkin version — tffm0 • mkin</title>
+
+
+<!-- jquery -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
+<!-- Bootstrap -->
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
+
+<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
+
+<!-- bootstrap-toc -->
+<link rel="stylesheet" href="../bootstrap-toc.css">
+<script src="../bootstrap-toc.js"></script>
+
+<!-- Font Awesome icons -->
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
+
+<!-- clipboard.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
+
+<!-- headroom.js -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
+
+<!-- pkgdown -->
+<link href="../pkgdown.css" rel="stylesheet">
+<script src="../pkgdown.js"></script>
+
+
+
+
+<meta property="og:title" content="Transform formation fractions as in the first published mkin version — tffm0" />
+<meta property="og:description" content="The transformed fractions can be restricted between 0 and 1 in model
+optimisations. Therefore this transformation was used originally in mkin. It
+was later replaced by the ilr transformation because the ilr transformed
+fractions can assumed to follow normal distribution. As the ilr
+transformation is not available in RxODE and can therefore not be used in
+the nlmixr modelling language, this transformation is currently used for
+translating mkin models with formation fractions to more than one target
+compartment for fitting with nlmixr in nlmixr_model. However,
+this implementation cannot be used there, as it is not accessible
+from RxODE." />
+
+
+<meta name="robots" content="noindex">
+
+<!-- mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
+
+<!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]-->
+
+
+
+  </head>
+
+  <body data-spy="scroll" data-target="#toc">
+    <div class="container template-reference-topic">
+      <header>
+      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../index.html">mkin</a>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav">
+        <li>
+  <a href="../reference/index.html">Functions and data</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu">
+    <li>
+      <a href="../articles/mkin.html">Introduction to mkin</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_D.html">Example evaluation of FOCUS Example Dataset D</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
+    </li>
+    <li>
+      <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
+    </li>
+  </ul>
+</li>
+<li>
+  <a href="../news/index.html">News</a>
+</li>
+      </ul>
+      <ul class="nav navbar-nav navbar-right">
+        <li>
+  <a href="https://github.com/jranke/mkin/">
+    <span class="fab fa-github fa-lg"></span>
+     
+  </a>
+</li>
+      </ul>
+      
+    </div><!--/.nav-collapse -->
+  </div><!--/.container -->
+</div><!--/.navbar -->
+
+      
+
+      </header>
+
+<div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Transform formation fractions as in the first published mkin version</h1>
+    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/tffm0.R'><code>R/tffm0.R</code></a></small>
+    <div class="hidden name"><code>tffm0.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    <p>The transformed fractions can be restricted between 0 and 1 in model
+optimisations. Therefore this transformation was used originally in mkin. It
+was later replaced by the <a href='ilr.html'>ilr</a> transformation because the ilr transformed
+fractions can assumed to follow normal distribution. As the ilr
+transformation is not available in <a href='https://nlmixrdevelopment.github.io/RxODE/reference/RxODE.html'>RxODE</a> and can therefore not be used in
+the nlmixr modelling language, this transformation is currently used for
+translating mkin models with formation fractions to more than one target
+compartment for fitting with nlmixr in <a href='nlmixr.mmkin.html'>nlmixr_model</a>. However,
+this implementation cannot be used there, as it is not accessible
+from RxODE.</p>
+    </div>
+
+    <pre class="usage"><span class='fu'>tffm0</span><span class='op'>(</span><span class='va'>ff</span><span class='op'>)</span>
+
+<span class='fu'>invtffm0</span><span class='op'>(</span><span class='va'>ff_trans</span><span class='op'>)</span></pre>
+
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>ff</th>
+      <td><p>Vector of untransformed formation fractions. The sum
+must be smaller or equal to one</p></td>
+    </tr>
+    <tr>
+      <th>ff_trans</th>
+      <td><p>Vector of transformed formation fractions that can be
+restricted to the interval from 0 to 1</p></td>
+    </tr>
+    </table>
+
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>A vector of the transformed formation fractions</p>
+<p>A vector of backtransformed formation fractions for natural use in degradation models</p>
+
+    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
+    <pre class="examples"><div class='input'><span class='va'>ff_example</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>
+  <span class='fl'>0.10983681</span>, <span class='fl'>0.09035905</span>, <span class='fl'>0.08399383</span>
+<span class='op'>)</span>
+<span class='va'>ff_example_trans</span> <span class='op'>&lt;-</span> <span class='fu'>tffm0</span><span class='op'>(</span><span class='va'>ff_example</span><span class='op'>)</span>
+<span class='fu'>invtffm0</span><span class='op'>(</span><span class='va'>ff_example_trans</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; [1] 0.10983681 0.09035905 0.08399383</div></pre>
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+    <nav id="toc" data-toggle="toc" class="sticky-top">
+      <h2 data-toc-skip>Contents</h2>
+    </nav>
+  </div>
+</div>
+
+
+      <footer>
+      <div class="copyright">
+  <p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+</div>
+
+      </footer>
+   </div>
+
+  
+
+
+  </body>
+</html>
+
+
diff --git a/docs/dev/reference/transform_odeparms.html b/docs/dev/reference/transform_odeparms.html
index 46b66073..75d6a1f9 100644
--- a/docs/dev/reference/transform_odeparms.html
+++ b/docs/dev/reference/transform_odeparms.html
@@ -77,7 +77,7 @@ the ilr transformation is used." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -126,7 +126,7 @@ the ilr transformation is used." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -231,50 +231,64 @@ This is no problem for the internal use in <a href='mkinfit.html'>mkinfit</a>.</
     <pre class="examples"><div class='input'>
 <span class='va'>SFO_SFO</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>
   parent <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='st'>"m1"</span>, sink <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
-  m1 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='co'># Fit the model to the FOCUS example dataset D using defaults</span>
-<span class='va'>fit</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_2006_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='va'>fit.s</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
+  m1 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span><span class='op'>)</span>, use_of_ff <span class='op'>=</span> <span class='st'>"min"</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'>
+<span class='co'># Fit the model to the FOCUS example dataset D using defaults</span>
+<span class='va'>FOCUS_D</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>FOCUS_2006_D</span>, <span class='va'>value</span> <span class='op'>!=</span> <span class='fl'>0</span><span class='op'>)</span> <span class='co'># remove zero values to avoid warning</span>
+<span class='va'>fit</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='va'>fit.s</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
 <span class='co'># Transformed and backtransformed parameters</span>
 <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>fit.s</span><span class='op'>$</span><span class='va'>par</span>, <span class='fl'>3</span><span class='op'>)</span>
-</div><div class='output co'>#&gt;                 Estimate Std. Error  Lower  Upper
-#&gt; parent_0         99.5985     1.5702 96.404 102.79
-#&gt; log_k_parent     -2.3157     0.0409 -2.399  -2.23
-#&gt; log_k_m1         -5.2475     0.1332 -5.518  -4.98
-#&gt; f_parent_qlogis   0.0579     0.0893 -0.124   0.24
-#&gt; sigma             3.1255     0.3585  2.396   3.85</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>fit.s</span><span class='op'>$</span><span class='va'>bpar</span>, <span class='fl'>3</span><span class='op'>)</span>
-</div><div class='output co'>#&gt;                Estimate se_notrans t value   Pr(&gt;t)    Lower    Upper
-#&gt; parent_0       99.59848    1.57022   63.43 2.30e-36 96.40383 102.7931
-#&gt; k_parent        0.09870    0.00403   24.47 4.96e-23  0.09082   0.1073
-#&gt; k_m1            0.00526    0.00070    7.51 6.16e-09  0.00401   0.0069
-#&gt; f_parent_to_m1  0.51448    0.02230   23.07 3.10e-22  0.46912   0.5596
-#&gt; sigma           3.12550    0.35852    8.72 2.24e-10  2.39609   3.8549</div><div class='input'>
+</div><div class='output co'>#&gt;                   Estimate Std. Error Lower  Upper
+#&gt; parent_0             99.60     1.5702 96.40 102.79
+#&gt; log_k_parent_sink    -3.04     0.0763 -3.19  -2.88
+#&gt; log_k_parent_m1      -2.98     0.0403 -3.06  -2.90
+#&gt; log_k_m1_sink        -5.25     0.1332 -5.52  -4.98
+#&gt; sigma                 3.13     0.3585  2.40   3.85</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>fit.s</span><span class='op'>$</span><span class='va'>bpar</span>, <span class='fl'>3</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;               Estimate se_notrans t value   Pr(&gt;t)    Lower    Upper
+#&gt; parent_0      99.59848    1.57022   63.43 2.30e-36 96.40384 102.7931
+#&gt; k_parent_sink  0.04792    0.00365   13.11 6.13e-15  0.04103   0.0560
+#&gt; k_parent_m1    0.05078    0.00205   24.80 3.27e-23  0.04678   0.0551
+#&gt; k_m1_sink      0.00526    0.00070    7.51 6.16e-09  0.00401   0.0069
+#&gt; sigma          3.12550    0.35852    8.72 2.24e-10  2.39609   3.8549</div><div class='input'>
 <span class='co'># \dontrun{</span>
-<span class='co'># Compare to the version without transforming rate parameters</span>
-<span class='va'>fit.2</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_2006_D</span>, transform_rates <span class='op'>=</span> <span class='cn'>FALSE</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='output co'>#&gt; <span class='error'>Error in if (cost &lt; cost.current) {    assign("cost.current", cost, inherits = TRUE)    if (!quiet)         cat(ifelse(OLS, "Sum of squared residuals", "Negative log-likelihood"),             " at call ", calls, ": ", signif(cost.current, 6),             "\n", sep = "")}: missing value where TRUE/FALSE needed</span></div><div class='output co'>#&gt; <span class='message'>Timing stopped at: 0.006 0 0.005</span></div><div class='input'><span class='va'>fit.2.s</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>fit.2</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'summary': object 'fit.2' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>fit.2.s</span><span class='op'>$</span><span class='va'>par</span>, <span class='fl'>3</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'print': object 'fit.2.s' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>fit.2.s</span><span class='op'>$</span><span class='va'>bpar</span>, <span class='fl'>3</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'print': object 'fit.2.s' not found</span></div><div class='input'><span class='co'># }</span>
+<span class='co'># Compare to the version without transforming rate parameters (does not work</span>
+<span class='co'># with analytical solution, we get NA values for m1 in predictions)</span>
+<span class='va'>fit.2</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, transform_rates <span class='op'>=</span> <span class='cn'>FALSE</span>,
+  solution_type <span class='op'>=</span> <span class='st'>"deSolve"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='va'>fit.2.s</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>fit.2</span><span class='op'>)</span>
+<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>fit.2.s</span><span class='op'>$</span><span class='va'>par</span>, <span class='fl'>3</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;               Estimate Std. Error    Lower    Upper
+#&gt; parent_0      99.59848    1.57022 96.40384 1.03e+02
+#&gt; k_parent_sink  0.04792    0.00365  0.04049 5.54e-02
+#&gt; k_parent_m1    0.05078    0.00205  0.04661 5.49e-02
+#&gt; k_m1_sink      0.00526    0.00070  0.00384 6.69e-03
+#&gt; sigma          3.12550    0.35852  2.39609 3.85e+00</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>fit.2.s</span><span class='op'>$</span><span class='va'>bpar</span>, <span class='fl'>3</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;               Estimate se_notrans t value   Pr(&gt;t)    Lower    Upper
+#&gt; parent_0      99.59848    1.57022   63.43 2.30e-36 96.40384 1.03e+02
+#&gt; k_parent_sink  0.04792    0.00365   13.11 6.13e-15  0.04049 5.54e-02
+#&gt; k_parent_m1    0.05078    0.00205   24.80 3.27e-23  0.04661 5.49e-02
+#&gt; k_m1_sink      0.00526    0.00070    7.51 6.16e-09  0.00384 6.69e-03
+#&gt; sigma          3.12550    0.35852    8.72 2.24e-10  2.39609 3.85e+00</div><div class='input'><span class='co'># }</span>
 
 <span class='va'>initials</span> <span class='op'>&lt;-</span> <span class='va'>fit</span><span class='op'>$</span><span class='va'>start</span><span class='op'>$</span><span class='va'>value</span>
 <span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>initials</span><span class='op'>)</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/colnames.html'>rownames</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>$</span><span class='va'>start</span><span class='op'>)</span>
 <span class='va'>transformed</span> <span class='op'>&lt;-</span> <span class='va'>fit</span><span class='op'>$</span><span class='va'>start_transformed</span><span class='op'>$</span><span class='va'>value</span>
 <span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>transformed</span><span class='op'>)</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/colnames.html'>rownames</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>$</span><span class='va'>start_transformed</span><span class='op'>)</span>
 <span class='fu'>transform_odeparms</span><span class='op'>(</span><span class='va'>initials</span>, <span class='va'>SFO_SFO</span><span class='op'>)</span>
-</div><div class='output co'>#&gt;        parent_0    log_k_parent        log_k_m1 f_parent_qlogis 
-#&gt;      100.750000       -2.302585       -2.301586        0.000000 </div><div class='input'><span class='fu'>backtransform_odeparms</span><span class='op'>(</span><span class='va'>transformed</span>, <span class='va'>SFO_SFO</span><span class='op'>)</span>
-</div><div class='output co'>#&gt;       parent_0       k_parent           k_m1 f_parent_to_m1 
-#&gt;       100.7500         0.1000         0.1001         0.5000 </div><div class='input'>
+</div><div class='output co'>#&gt;          parent_0 log_k_parent_sink   log_k_parent_m1     log_k_m1_sink 
+#&gt;        100.750000         -2.302585         -2.301586         -2.300587 </div><div class='input'><span class='fu'>backtransform_odeparms</span><span class='op'>(</span><span class='va'>transformed</span>, <span class='va'>SFO_SFO</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;      parent_0 k_parent_sink   k_parent_m1     k_m1_sink 
+#&gt;      100.7500        0.1000        0.1001        0.1002 </div><div class='input'>
 <span class='co'># \dontrun{</span>
-<span class='co'># The case of formation fractions</span>
+<span class='co'># The case of formation fractions (this is now the default)</span>
 <span class='va'>SFO_SFO.ff</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>
   parent <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='st'>"m1"</span>, sink <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
   m1 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span><span class='op'>)</span>,
   use_of_ff <span class='op'>=</span> <span class='st'>"max"</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'>
-<span class='va'>fit.ff</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO.ff</span>, <span class='va'>FOCUS_2006_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='va'>fit.ff.s</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>fit.ff</span><span class='op'>)</span>
+<span class='va'>fit.ff</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO.ff</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='va'>fit.ff.s</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>fit.ff</span><span class='op'>)</span>
 <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>fit.ff.s</span><span class='op'>$</span><span class='va'>par</span>, <span class='fl'>3</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;                 Estimate Std. Error  Lower  Upper
 #&gt; parent_0         99.5985     1.5702 96.404 102.79
@@ -299,8 +313,8 @@ This is no problem for the internal use in <a href='mkinfit.html'>mkinfit</a>.</
   use_of_ff <span class='op'>=</span> <span class='st'>"max"</span><span class='op'>)</span>
 </div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'>
 
-<span class='va'>fit.ff.2</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO.ff.2</span>, <span class='va'>FOCUS_2006_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='va'>fit.ff.2.s</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>fit.ff.2</span><span class='op'>)</span>
+<span class='va'>fit.ff.2</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO.ff.2</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='va'>fit.ff.2.s</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>fit.ff.2</span><span class='op'>)</span>
 <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>fit.ff.2.s</span><span class='op'>$</span><span class='va'>par</span>, <span class='fl'>3</span><span class='op'>)</span>
 </div><div class='output co'>#&gt;              Estimate Std. Error Lower Upper
 #&gt; parent_0        84.79      3.012 78.67 90.91
diff --git a/docs/dev/reference/update.mkinfit-1.png b/docs/dev/reference/update.mkinfit-1.png
index 7d2f1bdb..df8473c1 100644
--- a/docs/dev/reference/update.mkinfit-1.png
+++ b/docs/dev/reference/update.mkinfit-1.png
diff --git a/docs/dev/reference/update.mkinfit-2.png b/docs/dev/reference/update.mkinfit-2.png
index 8dcabcdc..13c99b44 100644
--- a/docs/dev/reference/update.mkinfit-2.png
+++ b/docs/dev/reference/update.mkinfit-2.png
diff --git a/docs/dev/reference/update.mkinfit.html b/docs/dev/reference/update.mkinfit.html
index 10a93373..83f45028 100644
--- a/docs/dev/reference/update.mkinfit.html
+++ b/docs/dev/reference/update.mkinfit.html
@@ -75,7 +75,7 @@ override these starting values." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
       </span>
     </div>
 
@@ -124,7 +124,7 @@ override these starting values." />
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="https://github.com/jranke/mkin/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/dev/sitemap.xml b/docs/dev/sitemap.xml
index ecf68e50..963d4200 100644
--- a/docs/dev/sitemap.xml
+++ b/docs/dev/sitemap.xml
@@ -88,6 +88,12 @@
     <loc>https://pkgdown.jrwb.de/mkin/reference/ilr.html</loc>
   </url>
   <url>
+    <loc>https://pkgdown.jrwb.de/mkin/reference/intervals.nlmixr.mmkin.html</loc>
+  </url>
+  <url>
+    <loc>https://pkgdown.jrwb.de/mkin/reference/intervals.saem.mmkin.html</loc>
+  </url>
+  <url>
     <loc>https://pkgdown.jrwb.de/mkin/reference/loftest.html</loc>
   </url>
   <url>
@@ -106,6 +112,9 @@
     <loc>https://pkgdown.jrwb.de/mkin/reference/mccall81_245T.html</loc>
   </url>
   <url>
+    <loc>https://pkgdown.jrwb.de/mkin/reference/mean_degparms.html</loc>
+  </url>
+  <url>
     <loc>https://pkgdown.jrwb.de/mkin/reference/mixed.html</loc>
   </url>
   <url>
@@ -157,6 +166,9 @@
     <loc>https://pkgdown.jrwb.de/mkin/reference/nlme.mmkin.html</loc>
   </url>
   <url>
+    <loc>https://pkgdown.jrwb.de/mkin/reference/nlmixr.mmkin.html</loc>
+  </url>
+  <url>
     <loc>https://pkgdown.jrwb.de/mkin/reference/nobs.mkinfit.html</loc>
   </url>
   <url>
@@ -175,9 +187,6 @@
     <loc>https://pkgdown.jrwb.de/mkin/reference/plot.nafta.html</loc>
   </url>
   <url>
-    <loc>https://pkgdown.jrwb.de/mkin/reference/print.mmkin.html</loc>
-  </url>
-  <url>
     <loc>https://pkgdown.jrwb.de/mkin/reference/reexports.html</loc>
   </url>
   <url>
@@ -199,6 +208,9 @@
     <loc>https://pkgdown.jrwb.de/mkin/reference/summary.nlme.mmkin.html</loc>
   </url>
   <url>
+    <loc>https://pkgdown.jrwb.de/mkin/reference/summary.nlmixr.mmkin.html</loc>
+  </url>
+  <url>
     <loc>https://pkgdown.jrwb.de/mkin/reference/summary.saem.mmkin.html</loc>
   </url>
   <url>
@@ -208,6 +220,9 @@
     <loc>https://pkgdown.jrwb.de/mkin/reference/test_data_from_UBA_2014.html</loc>
   </url>
   <url>
+    <loc>https://pkgdown.jrwb.de/mkin/reference/tffm0.html</loc>
+  </url>
+  <url>
     <loc>https://pkgdown.jrwb.de/mkin/reference/transform_odeparms.html</loc>
   </url>
   <url>
@@ -237,4 +252,7 @@
   <url>
     <loc>https://pkgdown.jrwb.de/mkin/articles/web_only/compiled_models.html</loc>
   </url>
+  <url>
+    <loc>https://pkgdown.jrwb.de/mkin/articles/web_only/dimethenamid_2018.html</loc>
+  </url>
 </urlset>
diff --git a/man/dimethenamid_2018.Rd b/man/dimethenamid_2018.Rd
index 31a05a26..0d1265be 100644
--- a/man/dimethenamid_2018.Rd
+++ b/man/dimethenamid_2018.Rd
@@ -11,7 +11,7 @@ An \link{mkindsg} object grouping seven datasets with some meta information
 Rapporteur Member State Germany, Co-Rapporteur Member State Bulgaria (2018)
 Renewal Assessment Report Dimethenamid-P Volume 3 - B.8 Environmental fate and behaviour
 Rev. 2 - November 2017
-\href{https://open.efsa.europa.eu}{https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716}
+\url{https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716}
 }
 \usage{
 dimethenamid_2018
@@ -31,5 +31,53 @@ specific pieces of information in the comments.
 }
 \examples{
 print(dimethenamid_2018)
+dmta_ds <- lapply(1:7, function(i) {
+  ds_i <- dimethenamid_2018$ds[[i]]$data
+  ds_i[ds_i$name == "DMTAP", "name"] <-  "DMTA"
+  ds_i$time <- ds_i$time * dimethenamid_2018$f_time_norm[i]
+  ds_i
+})
+names(dmta_ds) <- sapply(dimethenamid_2018$ds, function(ds) ds$title)
+dmta_ds[["Elliot"]] <- rbind(dmta_ds[["Elliot 1"]], dmta_ds[["Elliot 2"]])
+dmta_ds[["Elliot 1"]] <- NULL
+dmta_ds[["Elliot 2"]] <- NULL
+\dontrun{
+dfop_sfo3_plus <- mkinmod(
+  DMTA = mkinsub("DFOP", c("M23", "M27", "M31")),
+  M23 = mkinsub("SFO"),
+  M27 = mkinsub("SFO"),
+  M31 = mkinsub("SFO", "M27", sink = FALSE),
+  quiet = TRUE
+)
+f_dmta_mkin_tc <- mmkin(
+  list("DFOP-SFO3+" = dfop_sfo3_plus),
+  dmta_ds, quiet = TRUE, error_model = "tc")
+nlmixr_model(f_dmta_mkin_tc)
+# The focei fit takes about four minutes on my system
+system.time(
+  f_dmta_nlmixr_focei <- nlmixr(f_dmta_mkin_tc, est = "focei",
+    control = nlmixr::foceiControl(print = 500))
+)
+summary(f_dmta_nlmixr_focei)
+plot(f_dmta_nlmixr_focei)
+# Using saemix takes about 18 minutes
+system.time(
+  f_dmta_saemix <- saem(f_dmta_mkin_tc, test_log_parms = TRUE)
+)
+
+# nlmixr with est = "saem" is pretty fast with default iteration numbers, most
+# of the time (about 2.5 minutes) is spent for calculating the log likelihood at the end
+# The likelihood calculated for the nlmixr fit is much lower than that found by saemix
+# Also, the trace plot and the plot of the individual predictions is not
+# convincing for the parent. It seems we are fitting an overparameterised
+# model, so the result we get strongly depends on starting parameters and control settings.
+system.time(
+  f_dmta_nlmixr_saem <- nlmixr(f_dmta_mkin_tc, est = "saem",
+    control = nlmixr::saemControl(print = 500, logLik = TRUE, nmc = 9))
+)
+traceplot(f_dmta_nlmixr_saem$nm)
+summary(f_dmta_nlmixr_saem)
+plot(f_dmta_nlmixr_saem)
+}
 }
 \keyword{datasets}
diff --git a/man/endpoints.Rd b/man/endpoints.Rd
index 0b225e62..a37ff98d 100644
--- a/man/endpoints.Rd
+++ b/man/endpoints.Rd
@@ -8,8 +8,8 @@ with mkinfit}
 endpoints(fit)
 }
 \arguments{
-\item{fit}{An object of class \link{mkinfit} or \link{nlme.mmkin}
-or another object that has list components
+\item{fit}{An object of class \link{mkinfit}, \link{nlme.mmkin}, \link{saem.mmkin} or
+\link{nlmixr.mmkin}. Or another object that has list components
 mkinmod containing an \link{mkinmod} degradation model, and two numeric vectors,
 bparms.optim and bparms.fixed, that contain parameter values
 for that model.}
@@ -32,8 +32,8 @@ Additional DT50 values are calculated from the FOMC DT90 and k1 and k2 from
 HS and DFOP, as well as from Eigenvalues b1 and b2 of any SFORB models
 }
 \note{
-The function is used internally by \link{summary.mkinfit}
-and \link{summary.nlme.mmkin}
+The function is used internally by \link{summary.mkinfit},
+\link{summary.nlme.mmkin} and \link{summary.saem.mmkin}.
 }
 \examples{
 
diff --git a/man/intervals.nlmixr.mmkin.Rd b/man/intervals.nlmixr.mmkin.Rd
new file mode 100644
index 00000000..b1ab5da4
--- /dev/null
+++ b/man/intervals.nlmixr.mmkin.Rd
@@ -0,0 +1,23 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/intervals.R
+\name{intervals.nlmixr.mmkin}
+\alias{intervals.nlmixr.mmkin}
+\title{Confidence intervals for parameters in nlmixr.mmkin objects}
+\usage{
+\method{intervals}{nlmixr.mmkin}(object, level = 0.95, backtransform = TRUE, ...)
+}
+\arguments{
+\item{object}{The fitted saem.mmkin object}
+
+\item{level}{The confidence level.}
+
+\item{backtransform}{Should we backtransform the parameters where a one to
+one correlation between transformed and backtransformed parameters exists?}
+}
+\value{
+An object with 'intervals.saem.mmkin' and 'intervals.lme' in the
+class attribute
+}
+\description{
+Confidence intervals for parameters in nlmixr.mmkin objects
+}
diff --git a/man/intervals.saem.mmkin.Rd b/man/intervals.saem.mmkin.Rd
new file mode 100644
index 00000000..4a41dd1b
--- /dev/null
+++ b/man/intervals.saem.mmkin.Rd
@@ -0,0 +1,25 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/intervals.R
+\name{intervals.saem.mmkin}
+\alias{intervals.saem.mmkin}
+\title{Confidence intervals for parameters in saem.mmkin objects}
+\usage{
+\method{intervals}{saem.mmkin}(object, level = 0.95, backtransform = TRUE, ...)
+}
+\arguments{
+\item{object}{The fitted saem.mmkin object}
+
+\item{level}{The confidence level. Must be the default of 0.95 as this is what
+is available in the saemix object}
+
+\item{backtransform}{In case the model was fitted with mkin transformations,
+should we backtransform the parameters where a one to one correlation
+between transformed and backtransformed parameters exists?}
+}
+\value{
+An object with 'intervals.saem.mmkin' and 'intervals.lme' in the
+class attribute
+}
+\description{
+Confidence intervals for parameters in saem.mmkin objects
+}
diff --git a/man/mean_degparms.Rd b/man/mean_degparms.Rd
new file mode 100644
index 00000000..5e2b4b0f
--- /dev/null
+++ b/man/mean_degparms.Rd
@@ -0,0 +1,29 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/mean_degparms.R
+\name{mean_degparms}
+\alias{mean_degparms}
+\title{Calculate mean degradation parameters for an mmkin row object}
+\usage{
+mean_degparms(object, random = FALSE, test_log_parms = FALSE, conf.level = 0.6)
+}
+\arguments{
+\item{object}{An mmkin row object containing several fits of the same model to different datasets}
+
+\item{random}{Should a list with fixed and random effects be returned?}
+
+\item{test_log_parms}{If TRUE, log parameters are only considered in
+the mean calculations if their untransformed counterparts (most likely
+rate constants) pass the t-test for significant difference from zero.}
+
+\item{conf.level}{Possibility to adjust the required confidence level
+for parameter that are tested if requested by 'test_log_parms'.}
+}
+\value{
+If random is FALSE (default), a named vector containing mean values
+of the fitted degradation model parameters. If random is TRUE, a list with
+fixed and random effects, in the format required by the start argument of
+nlme for the case of a single grouping variable ds.
+}
+\description{
+Calculate mean degradation parameters for an mmkin row object
+}
diff --git a/man/mixed.Rd b/man/mixed.Rd
index 8b00382d..95cae364 100644
--- a/man/mixed.Rd
+++ b/man/mixed.Rd
@@ -23,6 +23,10 @@ mixed(object, ...)
 
 \item{digits}{Number of digits to use for printing.}
 }
+\value{
+An object of class 'mixed.mmkin' which has the observed data in a
+single dataframe which is convenient for plotting
+}
 \description{
 Create a mixed effects model from an mmkin row object
 }
diff --git a/man/mkinmod.Rd b/man/mkinmod.Rd
index bf073634..87ce9016 100644
--- a/man/mkinmod.Rd
+++ b/man/mkinmod.Rd
@@ -118,9 +118,6 @@ variable, specifying the corresponding submodel as well as outgoing pathways
 
 Print mkinmod objects in a way that the user finds his way to get to its
 components.
-
-This is a convenience function to set up the lists used as arguments for
-\code{\link{mkinmod}}.
 }
 \details{
 For the definition of model types and their parameters, the equations given
diff --git a/man/nlme.Rd b/man/nlme.Rd
index 307cca82..e87b7a00 100644
--- a/man/nlme.Rd
+++ b/man/nlme.Rd
@@ -2,29 +2,19 @@
 % Please edit documentation in R/nlme.R
 \name{nlme_function}
 \alias{nlme_function}
-\alias{mean_degparms}
 \alias{nlme_data}
 \title{Helper functions to create nlme models from mmkin row objects}
 \usage{
 nlme_function(object)
 
-mean_degparms(object, random = FALSE)
-
 nlme_data(object)
 }
 \arguments{
 \item{object}{An mmkin row object containing several fits of the same model to different datasets}
-
-\item{random}{Should a list with fixed and random effects be returned?}
 }
 \value{
 A function that can be used with nlme
 
-If random is FALSE (default), a named vector containing mean values
-of the fitted degradation model parameters. If random is TRUE, a list with
-fixed and random effects, in the format required by the start argument of
-nlme for the case of a single grouping variable ds.
-
 A \code{\link{groupedData}} object
 }
 \description{
@@ -60,7 +50,7 @@ grouped_data <- nlme_data(f)
 nlme_f <- nlme_function(f)
 # These assignments are necessary for these objects to be
 # visible to nlme and augPred when evaluation is done by
-# pkgdown to generated the html docs.
+# pkgdown to generate the html docs.
 assign("nlme_f", nlme_f, globalenv())
 assign("grouped_data", grouped_data, globalenv())
 
diff --git a/man/nlme.mmkin.Rd b/man/nlme.mmkin.Rd
index 2fb0488a..ed58d603 100644
--- a/man/nlme.mmkin.Rd
+++ b/man/nlme.mmkin.Rd
@@ -13,7 +13,7 @@
     paste(el, 1, sep = "~")))),
   random = pdDiag(fixed),
   groups,
-  start = mean_degparms(model, random = TRUE),
+  start = mean_degparms(model, random = TRUE, test_log_parms = TRUE),
   correlation = NULL,
   weights = NULL,
   subset,
@@ -36,10 +36,9 @@
 \item{fixed}{Ignored, all degradation parameters fitted in the
 mmkin model are used as fixed parameters}
 
-\item{random}{If not specified, correlated random effects are set up
-for all optimised degradation model parameters using the log-Cholesky
-parameterization \link[nlme:pdLogChol]{nlme::pdLogChol} that is also the default of
-the generic \link{nlme} method.}
+\item{random}{If not specified, no correlations between random effects are
+set up for the optimised degradation model parameters. This is
+achieved by using the \link[nlme:pdDiag]{nlme::pdDiag} method.}
 
 \item{groups}{See the documentation of nlme}
 
diff --git a/man/nlmixr.mmkin.Rd b/man/nlmixr.mmkin.Rd
new file mode 100644
index 00000000..f9349727
--- /dev/null
+++ b/man/nlmixr.mmkin.Rd
@@ -0,0 +1,222 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/nlmixr.R
+\name{nlmixr.mmkin}
+\alias{nlmixr.mmkin}
+\alias{print.nlmixr.mmkin}
+\alias{nlmixr_model}
+\alias{nlmixr_data}
+\title{Fit nonlinear mixed models using nlmixr}
+\usage{
+\method{nlmixr}{mmkin}(
+  object,
+  data = NULL,
+  est = NULL,
+  control = list(),
+  table = tableControl(),
+  error_model = object[[1]]$err_mod,
+  test_log_parms = TRUE,
+  conf.level = 0.6,
+  degparms_start = "auto",
+  eta_start = "auto",
+  ...,
+  save = NULL,
+  envir = parent.frame()
+)
+
+\method{print}{nlmixr.mmkin}(x, digits = max(3, getOption("digits") - 3), ...)
+
+nlmixr_model(
+  object,
+  est = c("saem", "focei"),
+  degparms_start = "auto",
+  eta_start = "auto",
+  test_log_parms = TRUE,
+  conf.level = 0.6,
+  error_model = object[[1]]$err_mod,
+  add_attributes = FALSE
+)
+
+nlmixr_data(object, ...)
+}
+\arguments{
+\item{object}{An \link{mmkin} row object containing several fits of the same
+\link{mkinmod} model to different datasets}
+
+\item{data}{Not used, as the data are extracted from the mmkin row object}
+
+\item{est}{Estimation method passed to \link[nlmixr:nlmixr]{nlmixr::nlmixr}}
+
+\item{control}{Passed to \link[nlmixr:nlmixr]{nlmixr::nlmixr}}
+
+\item{table}{Passed to \link[nlmixr:nlmixr]{nlmixr::nlmixr}}
+
+\item{error_model}{Optional argument to override the error model which is
+being set based on the error model used in the mmkin row object.}
+
+\item{test_log_parms}{If TRUE, an attempt is made to use more robust starting
+values for population parameters fitted as log parameters in mkin (like
+rate constants) by only considering rate constants that pass the t-test
+when calculating mean degradation parameters using \link{mean_degparms}.}
+
+\item{conf.level}{Possibility to adjust the required confidence level
+for parameter that are tested if requested by 'test_log_parms'.}
+
+\item{degparms_start}{Parameter values given as a named numeric vector will
+be used to override the starting values obtained from the 'mmkin' object.}
+
+\item{eta_start}{Standard deviations on the transformed scale given as a
+named numeric vector will be used to override the starting values obtained
+from the 'mmkin' object.}
+
+\item{\dots}{Passed to \link{nlmixr_model}}
+
+\item{save}{Passed to \link[nlmixr:nlmixr]{nlmixr::nlmixr}}
+
+\item{envir}{Passed to \link[nlmixr:nlmixr]{nlmixr::nlmixr}}
+
+\item{x}{An nlmixr.mmkin object to print}
+
+\item{digits}{Number of digits to use for printing}
+
+\item{add_attributes}{Should the starting values used for degradation model
+parameters and their distribution and for the error model parameters
+be returned as attributes?}
+}
+\value{
+An S3 object of class 'nlmixr.mmkin', containing the fitted
+\link[nlmixr:nlmixr]{nlmixr::nlmixr} object as a list component named 'nm'. The
+object also inherits from 'mixed.mmkin'.
+
+An function defining a model suitable for fitting with \link[nlmixr:nlmixr]{nlmixr::nlmixr}.
+
+An dataframe suitable for use with \link[nlmixr:nlmixr]{nlmixr::nlmixr}
+}
+\description{
+This function uses \code{\link[nlmixr:nlmixr]{nlmixr::nlmixr()}} as a backend for fitting nonlinear mixed
+effects models created from \link{mmkin} row objects using the Stochastic Approximation
+Expectation Maximisation algorithm (SAEM) or First Order Conditional
+Estimation with Interaction (FOCEI).
+}
+\details{
+An mmkin row object is essentially a list of mkinfit objects that have been
+obtained by fitting the same model to a list of datasets using \link{mkinfit}.
+}
+\examples{
+\dontrun{
+ds <- lapply(experimental_data_for_UBA_2019[6:10],
+ function(x) subset(x$data[c("name", "time", "value")]))
+names(ds) <- paste("Dataset", 6:10)
+
+f_mmkin_parent <- mmkin(c("SFO", "FOMC", "DFOP", "HS"), ds, quiet = TRUE, cores = 1)
+f_mmkin_parent_tc <- mmkin(c("SFO", "FOMC", "DFOP"), ds, error_model = "tc",
+  cores = 1, quiet = TRUE)
+
+library(nlmixr)
+f_nlmixr_sfo_saem <- nlmixr(f_mmkin_parent["SFO", ], est = "saem",
+  control = saemControl(print = 0))
+f_nlmixr_sfo_focei <- nlmixr(f_mmkin_parent["SFO", ], est = "focei",
+  control = foceiControl(print = 0))
+
+f_nlmixr_fomc_saem <- nlmixr(f_mmkin_parent["FOMC", ], est = "saem",
+  control = saemControl(print = 0))
+f_nlmixr_fomc_focei <- nlmixr(f_mmkin_parent["FOMC", ], est = "focei",
+  control = foceiControl(print = 0))
+
+f_nlmixr_dfop_saem <- nlmixr(f_mmkin_parent["DFOP", ], est = "saem",
+  control = saemControl(print = 0))
+f_nlmixr_dfop_focei <- nlmixr(f_mmkin_parent["DFOP", ], est = "focei",
+  control = foceiControl(print = 0))
+
+f_nlmixr_hs_saem <- nlmixr(f_mmkin_parent["HS", ], est = "saem",
+  control = saemControl(print = 0))
+f_nlmixr_hs_focei <- nlmixr(f_mmkin_parent["HS", ], est = "focei",
+  control = foceiControl(print = 0))
+
+f_nlmixr_fomc_saem_tc <- nlmixr(f_mmkin_parent_tc["FOMC", ], est = "saem",
+  control = saemControl(print = 0))
+f_nlmixr_fomc_focei_tc <- nlmixr(f_mmkin_parent_tc["FOMC", ], est = "focei",
+  control = foceiControl(print = 0))
+
+AIC(
+  f_nlmixr_sfo_saem$nm, f_nlmixr_sfo_focei$nm,
+  f_nlmixr_fomc_saem$nm, f_nlmixr_fomc_focei$nm,
+  f_nlmixr_dfop_saem$nm, f_nlmixr_dfop_focei$nm,
+  f_nlmixr_hs_saem$nm, f_nlmixr_hs_focei$nm,
+  f_nlmixr_fomc_saem_tc$nm, f_nlmixr_fomc_focei_tc$nm)
+
+AIC(nlme(f_mmkin_parent["FOMC", ]))
+AIC(nlme(f_mmkin_parent["HS", ]))
+
+# The FOCEI fit of FOMC with constant variance or the tc error model is best
+plot(f_nlmixr_fomc_saem_tc)
+
+sfo_sfo <- mkinmod(parent = mkinsub("SFO", "A1"),
+  A1 = mkinsub("SFO"), quiet = TRUE)
+fomc_sfo <- mkinmod(parent = mkinsub("FOMC", "A1"),
+  A1 = mkinsub("SFO"), quiet = TRUE)
+dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "A1"),
+  A1 = mkinsub("SFO"), quiet = TRUE)
+
+f_mmkin_const <- mmkin(list(
+    "SFO-SFO" = sfo_sfo, "FOMC-SFO" = fomc_sfo, "DFOP-SFO" = dfop_sfo),
+  ds, quiet = TRUE, error_model = "const")
+f_mmkin_obs <- mmkin(list(
+    "SFO-SFO" = sfo_sfo, "FOMC-SFO" = fomc_sfo, "DFOP-SFO" = dfop_sfo),
+  ds, quiet = TRUE, error_model = "obs")
+f_mmkin_tc <- mmkin(list(
+    "SFO-SFO" = sfo_sfo, "FOMC-SFO" = fomc_sfo, "DFOP-SFO" = dfop_sfo),
+  ds, quiet = TRUE, error_model = "tc")
+
+nlmixr_model(f_mmkin_const["SFO-SFO", ])
+
+# A single constant variance is currently only possible with est = 'focei' in nlmixr
+f_nlmixr_sfo_sfo_focei_const <- nlmixr(f_mmkin_const["SFO-SFO", ], est = "focei")
+f_nlmixr_fomc_sfo_focei_const <- nlmixr(f_mmkin_const["FOMC-SFO", ], est = "focei")
+f_nlmixr_dfop_sfo_focei_const <- nlmixr(f_mmkin_const["DFOP-SFO", ], est = "focei")
+
+# Variance by variable is supported by 'saem' and 'focei'
+f_nlmixr_fomc_sfo_saem_obs <- nlmixr(f_mmkin_obs["FOMC-SFO", ], est = "saem")
+f_nlmixr_fomc_sfo_focei_obs <- nlmixr(f_mmkin_obs["FOMC-SFO", ], est = "focei")
+f_nlmixr_dfop_sfo_saem_obs <- nlmixr(f_mmkin_obs["DFOP-SFO", ], est = "saem")
+f_nlmixr_dfop_sfo_focei_obs <- nlmixr(f_mmkin_obs["DFOP-SFO", ], est = "focei")
+
+# Identical two-component error for all variables is only possible with
+# est = 'focei' in nlmixr
+f_nlmixr_fomc_sfo_focei_tc <- nlmixr(f_mmkin_tc["FOMC-SFO", ], est = "focei")
+f_nlmixr_dfop_sfo_focei_tc <- nlmixr(f_mmkin_tc["DFOP-SFO", ], est = "focei")
+
+# Two-component error by variable is possible with both estimation methods
+# Variance by variable is supported by 'saem' and 'focei'
+f_nlmixr_fomc_sfo_saem_obs_tc <- nlmixr(f_mmkin_tc["FOMC-SFO", ], est = "saem",
+  error_model = "obs_tc")
+f_nlmixr_fomc_sfo_focei_obs_tc <- nlmixr(f_mmkin_tc["FOMC-SFO", ], est = "focei",
+  error_model = "obs_tc")
+f_nlmixr_dfop_sfo_saem_obs_tc <- nlmixr(f_mmkin_tc["DFOP-SFO", ], est = "saem",
+  error_model = "obs_tc")
+f_nlmixr_dfop_sfo_focei_obs_tc <- nlmixr(f_mmkin_tc["DFOP-SFO", ], est = "focei",
+  error_model = "obs_tc")
+
+AIC(
+  f_nlmixr_sfo_sfo_focei_const$nm,
+  f_nlmixr_fomc_sfo_focei_const$nm,
+  f_nlmixr_dfop_sfo_focei_const$nm,
+  f_nlmixr_fomc_sfo_saem_obs$nm,
+  f_nlmixr_fomc_sfo_focei_obs$nm,
+  f_nlmixr_dfop_sfo_saem_obs$nm,
+  f_nlmixr_dfop_sfo_focei_obs$nm,
+  f_nlmixr_fomc_sfo_focei_tc$nm,
+  f_nlmixr_dfop_sfo_focei_tc$nm,
+  f_nlmixr_fomc_sfo_saem_obs_tc$nm,
+  f_nlmixr_fomc_sfo_focei_obs_tc$nm,
+  f_nlmixr_dfop_sfo_saem_obs_tc$nm,
+  f_nlmixr_dfop_sfo_focei_obs_tc$nm
+)
+# Currently, FOMC-SFO with two-component error by variable fitted by focei gives the
+# lowest AIC
+plot(f_nlmixr_fomc_sfo_focei_obs_tc)
+summary(f_nlmixr_fomc_sfo_focei_obs_tc)
+}
+}
+\seealso{
+\link{summary.nlmixr.mmkin} \link{plot.mixed.mmkin}
+}
diff --git a/man/plot.mixed.mmkin.Rd b/man/plot.mixed.mmkin.Rd
index 87a82286..d87ca22c 100644
--- a/man/plot.mixed.mmkin.Rd
+++ b/man/plot.mixed.mmkin.Rd
@@ -13,6 +13,8 @@
   xlim = range(x$data$time),
   resplot = c("predicted", "time"),
   pred_over = NULL,
+  test_log_parms = FALSE,
+  conf.level = 0.6,
   ymax = "auto",
   maxabs = "auto",
   ncol.legend = ifelse(length(i) <= 3, length(i) + 1, ifelse(length(i) <= 8, 3, 4)),
@@ -27,7 +29,7 @@
 )
 }
 \arguments{
-\item{x}{An object of class \link{mixed.mmkin}, \link{nlme.mmkin}}
+\item{x}{An object of class \link{mixed.mmkin}, \link{saem.mmkin} or \link{nlme.mmkin}}
 
 \item{i}{A numeric index to select datasets for which to plot the individual predictions,
 in case plots get too large}
@@ -49,6 +51,12 @@ predicted values?}
 \item{pred_over}{Named list of alternative predictions as obtained
 from \link{mkinpredict} with a compatible \link{mkinmod}.}
 
+\item{test_log_parms}{Passed to \link{mean_degparms} in the case of an
+\link{mixed.mmkin} object}
+
+\item{conf.level}{Passed to \link{mean_degparms} in the case of an
+\link{mixed.mmkin} object}
+
 \item{ymax}{Vector of maximum y axis values}
 
 \item{maxabs}{Maximum absolute value of the residuals. This is used for the
@@ -91,9 +99,23 @@ plot(f[, 3:4], standardized = TRUE)
 
 # For this fit we need to increase pnlsMaxiter, and we increase the
 # tolerance in order to speed up the fit for this example evaluation
+# It still takes 20 seconds to run
 f_nlme <- nlme(f, control = list(pnlsMaxIter = 120, tolerance = 1e-3))
 plot(f_nlme)
 
+f_saem <- saem(f, transformations = "saemix")
+plot(f_saem)
+
+f_obs <- mmkin(list("DFOP-SFO" = dfop_sfo), ds, quiet = TRUE, error_model = "obs")
+f_nlmix <- nlmix(f_obs)
+plot(f_nlmix)
+
+# We can overlay the two variants if we generate predictions
+pred_nlme <- mkinpredict(dfop_sfo,
+  f_nlme$bparms.optim[-1],
+  c(parent = f_nlme$bparms.optim[[1]], A1 = 0),
+  seq(0, 180, by = 0.2))
+plot(f_saem, pred_over = list(nlme = pred_nlme))
 }
 }
 \author{
diff --git a/man/reexports.Rd b/man/reexports.Rd
index ccba7567..dfbb76a7 100644
--- a/man/reexports.Rd
+++ b/man/reexports.Rd
@@ -1,10 +1,13 @@
 % Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/lrtest.mkinfit.R, R/nlme.mmkin.R
+% Please edit documentation in R/intervals.R, R/lrtest.mkinfit.R,
+%   R/nlme.mmkin.R, R/nlmixr.R
 \docType{import}
 \name{reexports}
 \alias{reexports}
+\alias{intervals}
 \alias{lrtest}
 \alias{nlme}
+\alias{nlmixr}
 \title{Objects exported from other packages}
 \keyword{internal}
 \description{
@@ -14,6 +17,8 @@ below to see their documentation.
 \describe{
   \item{lmtest}{\code{\link[lmtest]{lrtest}}}
 
-  \item{nlme}{\code{\link[nlme]{nlme}}}
+  \item{nlme}{\code{\link[nlme]{intervals}}, \code{\link[nlme]{nlme}}}
+
+  \item{nlmixr}{\code{\link[nlmixr]{nlmixr}}}
 }}
 
diff --git a/man/saem.Rd b/man/saem.Rd
new file mode 100644
index 00000000..00e9aeda
--- /dev/null
+++ b/man/saem.Rd
@@ -0,0 +1,174 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/saem.R
+\name{saem}
+\alias{saem}
+\alias{saem.mmkin}
+\alias{print.saem.mmkin}
+\alias{saemix_model}
+\alias{saemix_data}
+\title{Fit nonlinear mixed models with SAEM}
+\usage{
+saem(object, ...)
+
+\method{saem}{mmkin}(
+  object,
+  transformations = c("mkin", "saemix"),
+  degparms_start = numeric(),
+  test_log_parms = TRUE,
+  conf.level = 0.6,
+  solution_type = "auto",
+  nbiter.saemix = c(300, 100),
+  control = list(displayProgress = FALSE, print = FALSE, nbiter.saemix = nbiter.saemix,
+    save = FALSE, save.graphs = FALSE),
+  fail_with_errors = TRUE,
+  verbose = FALSE,
+  quiet = FALSE,
+  ...
+)
+
+\method{print}{saem.mmkin}(x, digits = max(3, getOption("digits") - 3), ...)
+
+saemix_model(
+  object,
+  solution_type = "auto",
+  transformations = c("mkin", "saemix"),
+  degparms_start = numeric(),
+  test_log_parms = FALSE,
+  verbose = FALSE,
+  ...
+)
+
+saemix_data(object, verbose = FALSE, ...)
+}
+\arguments{
+\item{object}{An \link{mmkin} row object containing several fits of the same
+\link{mkinmod} model to different datasets}
+
+\item{\dots}{Further parameters passed to \link[saemix:saemixModel]{saemix::saemixModel}.}
+
+\item{transformations}{Per default, all parameter transformations are done
+in mkin. If this argument is set to 'saemix', parameter transformations
+are done in 'saemix' for the supported cases. Currently this is only
+supported in cases where the initial concentration of the parent is not fixed,
+SFO or DFOP is used for the parent and there is either no metabolite or one.}
+
+\item{degparms_start}{Parameter values given as a named numeric vector will
+be used to override the starting values obtained from the 'mmkin' object.}
+
+\item{test_log_parms}{If TRUE, an attempt is made to use more robust starting
+values for population parameters fitted as log parameters in mkin (like
+rate constants) by only considering rate constants that pass the t-test
+when calculating mean degradation parameters using \link{mean_degparms}.}
+
+\item{conf.level}{Possibility to adjust the required confidence level
+for parameter that are tested if requested by 'test_log_parms'.}
+
+\item{solution_type}{Possibility to specify the solution type in case the
+automatic choice is not desired}
+
+\item{nbiter.saemix}{Convenience option to increase the number of
+iterations}
+
+\item{control}{Passed to \link[saemix:saemix]{saemix::saemix}.}
+
+\item{fail_with_errors}{Should a failure to compute standard errors
+from the inverse of the Fisher Information Matrix be a failure?}
+
+\item{verbose}{Should we print information about created objects of
+type \link[saemix:SaemixModel-class]{saemix::SaemixModel} and \link[saemix:SaemixData-class]{saemix::SaemixData}?}
+
+\item{quiet}{Should we suppress the messages saemix prints at the beginning
+and the end of the optimisation process?}
+
+\item{x}{An saem.mmkin object to print}
+
+\item{digits}{Number of digits to use for printing}
+}
+\value{
+An S3 object of class 'saem.mmkin', containing the fitted
+\link[saemix:SaemixObject-class]{saemix::SaemixObject} as a list component named 'so'. The
+object also inherits from 'mixed.mmkin'.
+
+An \link[saemix:SaemixModel-class]{saemix::SaemixModel} object.
+
+An \link[saemix:SaemixData-class]{saemix::SaemixData} object.
+}
+\description{
+This function uses \code{\link[saemix:saemix]{saemix::saemix()}} as a backend for fitting nonlinear mixed
+effects models created from \link{mmkin} row objects using the Stochastic Approximation
+Expectation Maximisation algorithm (SAEM).
+}
+\details{
+An mmkin row object is essentially a list of mkinfit objects that have been
+obtained by fitting the same model to a list of datasets using \link{mkinfit}.
+
+Starting values for the fixed effects (population mean parameters, argument
+psi0 of \code{\link[saemix:saemixModel]{saemix::saemixModel()}} are the mean values of the parameters found
+using \link{mmkin}.
+}
+\examples{
+\dontrun{
+ds <- lapply(experimental_data_for_UBA_2019[6:10],
+ function(x) subset(x$data[c("name", "time", "value")]))
+names(ds) <- paste("Dataset", 6:10)
+f_mmkin_parent_p0_fixed <- mmkin("FOMC", ds,
+  state.ini = c(parent = 100), fixed_initials = "parent", quiet = TRUE)
+f_saem_p0_fixed <- saem(f_mmkin_parent_p0_fixed)
+
+f_mmkin_parent <- mmkin(c("SFO", "FOMC", "DFOP"), ds, quiet = TRUE)
+f_saem_sfo <- saem(f_mmkin_parent["SFO", ])
+f_saem_fomc <- saem(f_mmkin_parent["FOMC", ])
+f_saem_dfop <- saem(f_mmkin_parent["DFOP", ])
+
+# The returned saem.mmkin object contains an SaemixObject, therefore we can use
+# functions from saemix
+library(saemix)
+compare.saemix(f_saem_sfo$so, f_saem_fomc$so, f_saem_dfop$so)
+plot(f_saem_fomc$so, plot.type = "convergence")
+plot(f_saem_fomc$so, plot.type = "individual.fit")
+plot(f_saem_fomc$so, plot.type = "npde")
+plot(f_saem_fomc$so, plot.type = "vpc")
+
+f_mmkin_parent_tc <- update(f_mmkin_parent, error_model = "tc")
+f_saem_fomc_tc <- saem(f_mmkin_parent_tc["FOMC", ])
+compare.saemix(f_saem_fomc$so, f_saem_fomc_tc$so)
+
+sfo_sfo <- mkinmod(parent = mkinsub("SFO", "A1"),
+  A1 = mkinsub("SFO"))
+fomc_sfo <- mkinmod(parent = mkinsub("FOMC", "A1"),
+  A1 = mkinsub("SFO"))
+dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "A1"),
+  A1 = mkinsub("SFO"))
+# The following fit uses analytical solutions for SFO-SFO and DFOP-SFO,
+# and compiled ODEs for FOMC that are much slower
+f_mmkin <- mmkin(list(
+    "SFO-SFO" = sfo_sfo, "FOMC-SFO" = fomc_sfo, "DFOP-SFO" = dfop_sfo),
+  ds, quiet = TRUE)
+# saem fits of SFO-SFO and DFOP-SFO to these data take about five seconds
+# each on this system, as we use analytical solutions written for saemix.
+# When using the analytical solutions written for mkin this took around
+# four minutes
+f_saem_sfo_sfo <- saem(f_mmkin["SFO-SFO", ])
+f_saem_dfop_sfo <- saem(f_mmkin["DFOP-SFO", ])
+# We can use print, plot and summary methods to check the results
+print(f_saem_dfop_sfo)
+plot(f_saem_dfop_sfo)
+summary(f_saem_dfop_sfo, data = TRUE)
+
+# The following takes about 6 minutes
+#f_saem_dfop_sfo_deSolve <- saem(f_mmkin["DFOP-SFO", ], solution_type = "deSolve",
+#  control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))
+
+#saemix::compare.saemix(list(
+#  f_saem_dfop_sfo$so,
+#  f_saem_dfop_sfo_deSolve$so))
+
+# If the model supports it, we can also use eigenvalue based solutions, which
+# take a similar amount of time
+#f_saem_sfo_sfo_eigen <- saem(f_mmkin["SFO-SFO", ], solution_type = "eigen",
+#  control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))
+}
+}
+\seealso{
+\link{summary.saem.mmkin} \link{plot.mixed.mmkin}
+}
diff --git a/man/summary.nlmixr.mmkin.Rd b/man/summary.nlmixr.mmkin.Rd
new file mode 100644
index 00000000..ab8abd5d
--- /dev/null
+++ b/man/summary.nlmixr.mmkin.Rd
@@ -0,0 +1,103 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/summary.nlmixr.mmkin.R
+\name{summary.nlmixr.mmkin}
+\alias{summary.nlmixr.mmkin}
+\alias{print.summary.nlmixr.mmkin}
+\title{Summary method for class "nlmixr.mmkin"}
+\usage{
+\method{summary}{nlmixr.mmkin}(object, data = FALSE, verbose = FALSE, distimes = TRUE, ...)
+
+\method{print}{summary.nlmixr.mmkin}(x, digits = max(3, getOption("digits") - 3), verbose = x$verbose, ...)
+}
+\arguments{
+\item{object}{an object of class \link{nlmixr.mmkin}}
+
+\item{data}{logical, indicating whether the full data should be included in
+the summary.}
+
+\item{verbose}{Should the summary be verbose?}
+
+\item{distimes}{logical, indicating whether DT50 and DT90 values should be
+included.}
+
+\item{\dots}{optional arguments passed to methods like \code{print}.}
+
+\item{x}{an object of class \link{summary.nlmixr.mmkin}}
+
+\item{digits}{Number of digits to use for printing}
+}
+\value{
+The summary function returns a list obtained in the fit, with at
+least the following additional components
+\item{nlmixrversion, mkinversion, Rversion}{The nlmixr, mkin and R versions used}
+\item{date.fit, date.summary}{The dates where the fit and the summary were
+produced}
+\item{diffs}{The differential equations used in the degradation model}
+\item{use_of_ff}{Was maximum or minimum use made of formation fractions}
+\item{data}{The data}
+\item{confint_back}{Backtransformed parameters, with confidence intervals if available}
+\item{ff}{The estimated formation fractions derived from the fitted
+model.}
+\item{distimes}{The DT50 and DT90 values for each observed variable.}
+\item{SFORB}{If applicable, eigenvalues of SFORB components of the model.}
+The print method is called for its side effect, i.e. printing the summary.
+}
+\description{
+Lists model equations, initial parameter values, optimised parameters
+for fixed effects (population), random effects (deviations from the
+population mean) and residual error model, as well as the resulting
+endpoints such as formation fractions and DT50 values. Optionally
+(default is FALSE), the data are listed in full.
+}
+\examples{
+# Generate five datasets following DFOP-SFO kinetics
+sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
+dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "m1"),
+ m1 = mkinsub("SFO"), quiet = TRUE)
+set.seed(1234)
+k1_in <- rlnorm(5, log(0.1), 0.3)
+k2_in <- rlnorm(5, log(0.02), 0.3)
+g_in <- plogis(rnorm(5, qlogis(0.5), 0.3))
+f_parent_to_m1_in <- plogis(rnorm(5, qlogis(0.3), 0.3))
+k_m1_in <- rlnorm(5, log(0.02), 0.3)
+
+pred_dfop_sfo <- function(k1, k2, g, f_parent_to_m1, k_m1) {
+  mkinpredict(dfop_sfo,
+    c(k1 = k1, k2 = k2, g = g, f_parent_to_m1 = f_parent_to_m1, k_m1 = k_m1),
+    c(parent = 100, m1 = 0),
+    sampling_times)
+}
+
+ds_mean_dfop_sfo <- lapply(1:5, function(i) {
+  mkinpredict(dfop_sfo,
+    c(k1 = k1_in[i], k2 = k2_in[i], g = g_in[i],
+      f_parent_to_m1 = f_parent_to_m1_in[i], k_m1 = k_m1_in[i]),
+    c(parent = 100, m1 = 0),
+    sampling_times)
+})
+names(ds_mean_dfop_sfo) <- paste("ds", 1:5)
+
+ds_syn_dfop_sfo <- lapply(ds_mean_dfop_sfo, function(ds) {
+  add_err(ds,
+    sdfunc = function(value) sqrt(1^2 + value^2 * 0.07^2),
+    n = 1)[[1]]
+})
+
+\dontrun{
+# Evaluate using mmkin and nlmixr
+f_mmkin_dfop_sfo <- mmkin(list(dfop_sfo), ds_syn_dfop_sfo,
+  quiet = TRUE, error_model = "tc", cores = 5)
+f_saemix_dfop_sfo <- mkin::saem(f_mmkin_dfop_sfo)
+f_nlme_dfop_sfo <- mkin::nlme(f_mmkin_dfop_sfo)
+f_nlmixr_dfop_sfo_saem <- nlmixr(f_mmkin_dfop_sfo, est = "saem")
+# The following takes a very long time but gives
+f_nlmixr_dfop_sfo_focei <- nlmixr(f_mmkin_dfop_sfo, est = "focei")
+AIC(f_nlmixr_dfop_sfo_saem$nm, f_nlmixr_dfop_sfo_focei$nm)
+summary(f_nlmixr_dfop_sfo_sfo, data = TRUE)
+}
+
+}
+\author{
+Johannes Ranke for the mkin specific parts
+nlmixr authors for the parts inherited from nlmixr.
+}
diff --git a/man/summary.saem.mmkin.Rd b/man/summary.saem.mmkin.Rd
new file mode 100644
index 00000000..67cb3cbb
--- /dev/null
+++ b/man/summary.saem.mmkin.Rd
@@ -0,0 +1,100 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/summary.saem.mmkin.R
+\name{summary.saem.mmkin}
+\alias{summary.saem.mmkin}
+\alias{print.summary.saem.mmkin}
+\title{Summary method for class "saem.mmkin"}
+\usage{
+\method{summary}{saem.mmkin}(object, data = FALSE, verbose = FALSE, distimes = TRUE, ...)
+
+\method{print}{summary.saem.mmkin}(x, digits = max(3, getOption("digits") - 3), verbose = x$verbose, ...)
+}
+\arguments{
+\item{object}{an object of class \link{saem.mmkin}}
+
+\item{data}{logical, indicating whether the full data should be included in
+the summary.}
+
+\item{verbose}{Should the summary be verbose?}
+
+\item{distimes}{logical, indicating whether DT50 and DT90 values should be
+included.}
+
+\item{\dots}{optional arguments passed to methods like \code{print}.}
+
+\item{x}{an object of class \link{summary.saem.mmkin}}
+
+\item{digits}{Number of digits to use for printing}
+}
+\value{
+The summary function returns a list based on the \link[saemix:SaemixObject-class]{saemix::SaemixObject}
+obtained in the fit, with at least the following additional components
+\item{saemixversion, mkinversion, Rversion}{The saemix, mkin and R versions used}
+\item{date.fit, date.summary}{The dates where the fit and the summary were
+produced}
+\item{diffs}{The differential equations used in the degradation model}
+\item{use_of_ff}{Was maximum or minimum use made of formation fractions}
+\item{data}{The data}
+\item{confint_trans}{Transformed parameters as used in the optimisation, with confidence intervals}
+\item{confint_back}{Backtransformed parameters, with confidence intervals if available}
+\item{confint_errmod}{Error model parameters with confidence intervals}
+\item{ff}{The estimated formation fractions derived from the fitted
+model.}
+\item{distimes}{The DT50 and DT90 values for each observed variable.}
+\item{SFORB}{If applicable, eigenvalues of SFORB components of the model.}
+The print method is called for its side effect, i.e. printing the summary.
+}
+\description{
+Lists model equations, initial parameter values, optimised parameters
+for fixed effects (population), random effects (deviations from the
+population mean) and residual error model, as well as the resulting
+endpoints such as formation fractions and DT50 values. Optionally
+(default is FALSE), the data are listed in full.
+}
+\examples{
+# Generate five datasets following DFOP-SFO kinetics
+sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
+dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "m1"),
+ m1 = mkinsub("SFO"), quiet = TRUE)
+set.seed(1234)
+k1_in <- rlnorm(5, log(0.1), 0.3)
+k2_in <- rlnorm(5, log(0.02), 0.3)
+g_in <- plogis(rnorm(5, qlogis(0.5), 0.3))
+f_parent_to_m1_in <- plogis(rnorm(5, qlogis(0.3), 0.3))
+k_m1_in <- rlnorm(5, log(0.02), 0.3)
+
+pred_dfop_sfo <- function(k1, k2, g, f_parent_to_m1, k_m1) {
+  mkinpredict(dfop_sfo,
+    c(k1 = k1, k2 = k2, g = g, f_parent_to_m1 = f_parent_to_m1, k_m1 = k_m1),
+    c(parent = 100, m1 = 0),
+    sampling_times)
+}
+
+ds_mean_dfop_sfo <- lapply(1:5, function(i) {
+  mkinpredict(dfop_sfo,
+    c(k1 = k1_in[i], k2 = k2_in[i], g = g_in[i],
+      f_parent_to_m1 = f_parent_to_m1_in[i], k_m1 = k_m1_in[i]),
+    c(parent = 100, m1 = 0),
+    sampling_times)
+})
+names(ds_mean_dfop_sfo) <- paste("ds", 1:5)
+
+ds_syn_dfop_sfo <- lapply(ds_mean_dfop_sfo, function(ds) {
+  add_err(ds,
+    sdfunc = function(value) sqrt(1^2 + value^2 * 0.07^2),
+    n = 1)[[1]]
+})
+
+\dontrun{
+# Evaluate using mmkin and saem
+f_mmkin_dfop_sfo <- mmkin(list(dfop_sfo), ds_syn_dfop_sfo,
+  quiet = TRUE, error_model = "tc", cores = 5)
+f_saem_dfop_sfo <- saem(f_mmkin_dfop_sfo)
+summary(f_saem_dfop_sfo, data = TRUE)
+}
+
+}
+\author{
+Johannes Ranke for the mkin specific parts
+saemix authors for the parts inherited from saemix.
+}
diff --git a/man/tffm0.Rd b/man/tffm0.Rd
new file mode 100644
index 00000000..46978d5e
--- /dev/null
+++ b/man/tffm0.Rd
@@ -0,0 +1,42 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/tffm0.R
+\name{tffm0}
+\alias{tffm0}
+\alias{invtffm0}
+\title{Transform formation fractions as in the first published mkin version}
+\usage{
+tffm0(ff)
+
+invtffm0(ff_trans)
+}
+\arguments{
+\item{ff}{Vector of untransformed formation fractions. The sum
+must be smaller or equal to one}
+
+\item{ff_trans}{Vector of transformed formation fractions that can be
+restricted to the interval from 0 to 1}
+}
+\value{
+A vector of the transformed formation fractions
+
+A vector of backtransformed formation fractions for natural use in degradation models
+}
+\description{
+The transformed fractions can be restricted between 0 and 1 in model
+optimisations. Therefore this transformation was used originally in mkin. It
+was later replaced by the \link{ilr} transformation because the ilr transformed
+fractions can assumed to follow normal distribution. As the ilr
+transformation is not available in \link{RxODE} and can therefore not be used in
+the nlmixr modelling language, this transformation is currently used for
+translating mkin models with formation fractions to more than one target
+compartment for fitting with nlmixr in \link{nlmixr_model}. However,
+this implementation cannot be used there, as it is not accessible
+from RxODE.
+}
+\examples{
+ff_example <- c(
+  0.10983681, 0.09035905, 0.08399383
+)
+ff_example_trans <- tffm0(ff_example)
+invtffm0(ff_example_trans)
+}
diff --git a/test.log b/test.log
index 717413ae..4d5012a0 100644
--- a/test.log
+++ b/test.log
@@ -1,37 +1,44 @@
 ℹ Loading mkin
 Loading required package: parallel
 ℹ Testing mkin
-✔ |  OK F W S | Context
-✔ |   5       | AIC calculation
-✔ |   5       | Analytical solutions for coupled models [3.1 s]
-✔ |   5       | Calculation of Akaike weights
-✔ |   2       | Export dataset for reading into CAKE
-✔ |  12       | Confidence intervals and p-values [1.3 s]
-✔ |  14       | Error model fitting [4.0 s]
-✔ |   5       | Time step normalisation
-✔ |   4       | Calculation of FOCUS chi2 error levels [0.5 s]
-✔ |  14       | Results for FOCUS D established in expertise for UBA (Ranke 2014) [0.7 s]
-✔ |   4       | Test fitting the decline of metabolites from their maximum [0.3 s]
-✔ |   1       | Fitting the logistic model [0.2 s]
-✔ |   5       | Nonlinear mixed-effects models [0.1 s]
-✔ |   2       | Test dataset classes mkinds and mkindsg
-✔ |  10       | Special cases of mkinfit calls [0.3 s]
-✔ |   1       | mkinfit features [0.3 s]
-✔ |   8       | mkinmod model generation and printing [0.2 s]
-✔ |   3       | Model predictions with mkinpredict [0.4 s]
-✔ |  16       | Evaluations according to 2015 NAFTA guidance [1.3 s]
-✔ |   9       | Nonlinear mixed-effects models [7.7 s]
-✔ |  14       | Plotting [1.1 s]
-✔ |   4       | Residuals extracted from mkinfit models
-✔ |   2       | Complex test case from Schaefer et al. (2007) Piacenza paper [1.4 s]
-✔ |   7       | Fitting the SFORB model [3.5 s]
-✔ |   1       | Summaries of old mkinfit objects
-✔ |   4       | Summary [0.1 s]
-✔ |   4       | Results for synthetic data established in expertise for UBA (Ranke 2014) [2.1 s]
-✔ |   9       | Hypothesis tests [7.9 s]
-✔ |   4       | Calculation of maximum time weighted average concentrations (TWAs) [2.2 s]
+✔ | F W S  OK | Context
+✔ |         5 | AIC calculation
+✔ |         5 | Analytical solutions for coupled models [3.5s]
+✔ |         5 | Calculation of Akaike weights
+✔ |         2 | Export dataset for reading into CAKE
+✔ |        12 | Confidence intervals and p-values [1.0s]
+✔ |        14 | Error model fitting [5.0s]
+✔ |         5 | Time step normalisation
+✔ |         4 | Calculation of FOCUS chi2 error levels [0.6s]
+✔ |        14 | Results for FOCUS D established in expertise for UBA (Ranke 2014) [0.8s]
+✔ |         4 | Test fitting the decline of metabolites from their maximum [0.3s]
+✔ |         1 | Fitting the logistic model [0.2s]
+✔ |     1  35 | Nonlinear mixed-effects models [26.8s]
+────────────────────────────────────────────────────────────────────────────────
+Skip (test_mixed.R:161:3): saem results are reproducible for biphasic fits
+Reason: Fitting with saemix takes around 10 minutes when using deSolve
+────────────────────────────────────────────────────────────────────────────────
+✔ |         2 | Test dataset classes mkinds and mkindsg
+✔ |        10 | Special cases of mkinfit calls [0.4s]
+✔ |         1 | mkinfit features [0.4s]
+✔ |         8 | mkinmod model generation and printing [0.2s]
+✔ |         3 | Model predictions with mkinpredict [0.3s]
+✔ |        16 | Evaluations according to 2015 NAFTA guidance [1.5s]
+✔ |         9 | Nonlinear mixed-effects models with nlme [8.2s]
+✔ |        16 | Plotting [1.3s]
+✔ |         4 | Residuals extracted from mkinfit models
+✔ |         2 | Complex test case from Schaefer et al. (2007) Piacenza paper [1.5s]
+✔ |         7 | Fitting the SFORB model [3.8s]
+✔ |         1 | Summaries of old mkinfit objects
+✔ |         4 | Summary [0.1s]
+✔ |         4 | Results for synthetic data established in expertise for UBA (Ranke 2014) [2.3s]
+✔ |         9 | Hypothesis tests [8.6s]
+✔ |         4 | Calculation of maximum time weighted average concentrations (TWAs) [2.2s]
 
 ══ Results ═════════════════════════════════════════════════════════════════════
-Duration: 38.8 s
+Duration: 69.5 s
 
-[ FAIL 0 | WARN 0 | SKIP 0 | PASS 174 ]
+── Skipped tests  ──────────────────────────────────────────────────────────────
+• Fitting with saemix takes around 10 minutes when using deSolve (1)
+
+[ FAIL 0 | WARN 0 | SKIP 1 | PASS 206 ]
diff --git a/tests/testthat/_snaps/plot/mixed-model-fit-for-nlme-object.svg b/tests/testthat/_snaps/plot/mixed-model-fit-for-nlme-object.svg
index a4396bff..25a5d263 100644
--- a/tests/testthat/_snaps/plot/mixed-model-fit-for-nlme-object.svg
+++ b/tests/testthat/_snaps/plot/mixed-model-fit-for-nlme-object.svg
@@ -96,7 +96,7 @@
   </clipPath>
 </defs>
 <g clip-path='url(#cpNDkuMDB8MzM0LjkwfDE0Ni4wN3w1MTUuMDQ=)'>
-<polyline points='59.59,173.91 61.80,185.77 64.99,201.85 66.21,207.65 70.40,226.37 75.03,245.07 75.80,247.97 81.20,267.04 86.60,283.97 90.48,294.94 92.01,299.03 97.41,312.50 102.81,324.59 108.21,335.48 113.62,345.34 119.02,354.29 121.36,357.92 124.42,362.46 129.82,369.94 135.23,376.81 140.63,383.14 146.03,389.01 151.43,394.46 156.84,399.53 162.24,404.27 167.64,408.71 173.04,412.87 178.45,416.79 183.85,420.49 189.25,423.99 191.95,425.67 194.65,427.30 200.06,430.43 205.46,433.41 210.86,436.24 216.26,438.94 221.67,441.51 227.07,443.96 232.47,446.29 237.87,448.53 243.28,450.66 248.68,452.70 254.08,454.65 258.13,456.07 259.48,456.52 264.89,458.32 270.29,460.03 275.69,461.68 281.09,463.25 286.49,464.76 291.90,466.21 297.30,467.61 302.70,468.94 308.10,470.22 313.51,471.45 318.91,472.63 324.31,473.76 ' style='stroke-width: 1.50;' />
+<polyline points='59.59,170.38 61.80,182.39 64.99,198.65 66.21,204.51 70.40,223.40 75.03,242.23 75.80,245.14 81.20,264.32 86.60,281.30 90.48,292.30 92.01,296.40 97.41,309.89 102.81,321.99 108.21,332.89 113.62,342.75 119.02,351.71 121.36,355.34 124.42,359.88 129.82,367.38 135.23,374.27 140.63,380.63 146.03,386.52 151.43,392.00 156.84,397.11 162.24,401.89 167.64,406.38 173.04,410.59 178.45,414.56 183.85,418.32 189.25,421.87 191.95,423.57 194.65,425.23 200.06,428.42 205.46,431.46 210.86,434.35 216.26,437.10 221.67,439.72 227.07,442.23 232.47,444.62 237.87,446.91 243.28,449.10 248.68,451.19 254.08,453.20 258.13,454.64 259.48,455.12 264.89,456.96 270.29,458.72 275.69,460.41 281.09,462.03 286.49,463.59 291.90,465.08 297.30,466.51 302.70,467.89 308.10,469.21 313.51,470.47 318.91,471.69 324.31,472.86 ' style='stroke-width: 1.50;' />
 </g>
 <g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
 <line x1='59.59' y1='515.04' x2='324.31' y2='515.04' style='stroke-width: 0.75;' />
@@ -114,19 +114,19 @@
 <text x='236.07' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>80</text>
 <text x='280.19' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='16.62px' lengthAdjust='spacingAndGlyphs'>100</text>
 <text x='324.31' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='16.62px' lengthAdjust='spacingAndGlyphs'>120</text>
-<line x1='49.00' y1='501.38' x2='49.00' y2='175.07' style='stroke-width: 0.75;' />
+<line x1='49.00' y1='501.38' x2='49.00' y2='170.65' style='stroke-width: 0.75;' />
 <line x1='49.00' y1='501.38' x2='43.03' y2='501.38' style='stroke-width: 0.75;' />
-<line x1='49.00' y1='436.12' x2='43.03' y2='436.12' style='stroke-width: 0.75;' />
-<line x1='49.00' y1='370.86' x2='43.03' y2='370.86' style='stroke-width: 0.75;' />
-<line x1='49.00' y1='305.60' x2='43.03' y2='305.60' style='stroke-width: 0.75;' />
-<line x1='49.00' y1='240.33' x2='43.03' y2='240.33' style='stroke-width: 0.75;' />
-<line x1='49.00' y1='175.07' x2='43.03' y2='175.07' style='stroke-width: 0.75;' />
+<line x1='49.00' y1='435.23' x2='43.03' y2='435.23' style='stroke-width: 0.75;' />
+<line x1='49.00' y1='369.09' x2='43.03' y2='369.09' style='stroke-width: 0.75;' />
+<line x1='49.00' y1='302.94' x2='43.03' y2='302.94' style='stroke-width: 0.75;' />
+<line x1='49.00' y1='236.80' x2='43.03' y2='236.80' style='stroke-width: 0.75;' />
+<line x1='49.00' y1='170.65' x2='43.03' y2='170.65' style='stroke-width: 0.75;' />
 <text transform='translate(34.66,501.38) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='5.54px' lengthAdjust='spacingAndGlyphs'>0</text>
-<text transform='translate(34.66,436.12) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>20</text>
-<text transform='translate(34.66,370.86) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>40</text>
-<text transform='translate(34.66,305.60) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>60</text>
-<text transform='translate(34.66,240.33) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>80</text>
-<text transform='translate(34.66,175.07) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='16.62px' lengthAdjust='spacingAndGlyphs'>100</text>
+<text transform='translate(34.66,435.23) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text transform='translate(34.66,369.09) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>40</text>
+<text transform='translate(34.66,302.94) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>60</text>
+<text transform='translate(34.66,236.80) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>80</text>
+<text transform='translate(34.66,170.65) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='16.62px' lengthAdjust='spacingAndGlyphs'>100</text>
 <polygon points='49.00,515.04 334.90,515.04 334.90,146.07 49.00,146.07 ' style='stroke-width: 0.75; fill: none;' />
 </g>
 <defs>
@@ -139,597 +139,597 @@
 <text transform='translate(10.76,330.56) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='72.54px' lengthAdjust='spacingAndGlyphs'>Residues parent</text>
 </g>
 <g clip-path='url(#cpNDkuMDB8MzM0LjkwfDE0Ni4wN3w1MTUuMDQ=)'>
-<circle cx='59.59' cy='178.34' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='59.59' cy='181.27' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='61.80' cy='187.15' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='61.80' cy='179.64' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='66.21' cy='215.53' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='66.21' cy='219.12' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='75.03' cy='246.53' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='75.03' cy='240.99' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='90.48' cy='280.14' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='90.48' cy='279.82' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='121.36' cy='350.30' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='121.36' cy='355.19' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='191.95' cy='423.72' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='191.95' cy='415.89' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='258.13' cy='447.54' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='258.13' cy='451.13' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='324.31' cy='464.83' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='324.31' cy='466.14' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polyline points='59.59,173.91 61.80,185.09 64.99,200.29 66.21,205.78 70.40,223.55 75.03,241.34 75.80,244.10 81.20,262.35 86.60,278.59 90.48,289.15 92.01,293.10 97.41,306.12 102.81,317.84 108.21,328.44 113.62,338.05 119.02,346.82 121.36,350.37 124.42,354.83 129.82,362.19 135.23,368.96 140.63,375.23 146.03,381.05 151.43,386.46 156.84,391.52 162.24,396.25 167.64,400.69 173.04,404.88 178.45,408.82 183.85,412.56 189.25,416.09 191.95,417.79 194.65,419.45 200.06,422.64 205.46,425.68 210.86,428.58 216.26,431.34 221.67,433.98 227.07,436.51 232.47,438.93 237.87,441.25 243.28,443.47 248.68,445.61 254.08,447.65 258.13,449.14 259.48,449.62 264.89,451.51 270.29,453.33 275.69,455.07 281.09,456.75 286.49,458.37 291.90,459.93 297.30,461.42 302.70,462.87 308.10,464.26 313.51,465.59 318.91,466.88 324.31,468.12 ' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 4.00,4.00;' />
-<polygon points='59.59,177.13 62.61,182.36 56.57,182.36 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='59.59,167.67 62.61,172.90 56.57,172.90 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='61.80,182.68 64.82,187.91 58.78,187.91 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='61.80,182.36 64.82,187.58 58.78,187.58 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='66.21,198.34 69.23,203.57 63.19,203.57 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='66.21,201.93 69.23,207.16 63.19,207.16 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='75.03,234.56 78.05,239.79 72.02,239.79 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='75.03,221.19 78.05,226.41 72.02,226.41 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='90.48,269.15 93.49,274.38 87.46,274.38 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='90.48,284.49 93.49,289.72 87.46,289.72 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='121.36,328.21 124.38,333.44 118.34,333.44 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='121.36,340.61 124.38,345.84 118.34,345.84 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='191.95,392.50 194.97,397.72 188.93,397.72 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='191.95,403.59 194.97,408.82 188.93,408.82 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='258.13,431.00 261.15,436.23 255.11,436.23 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='258.13,441.44 261.15,446.67 255.11,446.67 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='324.31,466.89 327.33,472.12 321.29,472.12 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='324.31,444.38 327.33,449.61 321.29,449.61 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polyline points='59.59,173.91 61.80,183.90 64.99,197.54 66.21,202.48 70.40,218.53 75.03,234.72 75.80,237.24 81.20,253.98 86.60,269.01 90.48,278.84 92.01,282.53 97.41,294.76 102.81,305.86 108.21,315.96 113.62,325.19 119.02,333.66 121.36,337.12 124.42,341.46 129.82,348.66 135.23,355.34 140.63,361.55 146.03,367.34 151.43,372.76 156.84,377.86 162.24,382.65 167.64,387.17 173.04,391.44 178.45,395.49 183.85,399.34 189.25,403.00 191.95,404.77 194.65,406.49 200.06,409.82 205.46,413.01 210.86,416.06 216.26,418.98 221.67,421.78 227.07,424.47 232.47,427.06 237.87,429.54 243.28,431.94 248.68,434.24 254.08,436.46 258.13,438.08 259.48,438.60 264.89,440.67 270.29,442.66 275.69,444.58 281.09,446.44 286.49,448.23 291.90,449.96 297.30,451.64 302.70,453.25 308.10,454.81 313.51,456.32 318.91,457.78 324.31,459.20 ' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 1.00,3.00;' />
-<line x1='56.42' y1='179.64' x2='62.76' y2='179.64' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='59.59' y1='182.81' x2='59.59' y2='176.47' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='56.42' y1='185.19' x2='62.76' y2='185.19' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='59.59' y1='188.36' x2='59.59' y2='182.02' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='58.63' y1='181.60' x2='64.97' y2='181.60' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='61.80' y1='184.77' x2='61.80' y2='178.43' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='58.63' y1='192.04' x2='64.97' y2='192.04' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='61.80' y1='195.21' x2='61.80' y2='188.87' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='63.04' y1='203.46' x2='69.38' y2='203.46' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='66.21' y1='206.63' x2='66.21' y2='200.29' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='63.04' y1='198.24' x2='69.38' y2='198.24' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='66.21' y1='201.41' x2='66.21' y2='195.07' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='71.86' y1='234.46' x2='78.20' y2='234.46' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='75.03' y1='237.63' x2='75.03' y2='231.29' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='71.86' y1='233.81' x2='78.20' y2='233.81' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='75.03' y1='236.98' x2='75.03' y2='230.64' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='87.31' y1='286.67' x2='93.65' y2='286.67' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='90.48' y1='289.84' x2='90.48' y2='283.50' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='87.31' y1='288.30' x2='93.65' y2='288.30' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='90.48' y1='291.47' x2='90.48' y2='285.13' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='118.19' y1='343.77' x2='124.53' y2='343.77' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='121.36' y1='346.94' x2='121.36' y2='340.60' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='118.19' y1='348.01' x2='124.53' y2='348.01' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='121.36' y1='351.18' x2='121.36' y2='344.85' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='188.78' y1='432.53' x2='195.12' y2='432.53' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='191.95' y1='435.70' x2='191.95' y2='429.36' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='188.78' y1='425.68' x2='195.12' y2='425.68' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='191.95' y1='428.85' x2='191.95' y2='422.51' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='254.96' y1='457.98' x2='261.30' y2='457.98' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='258.13' y1='461.15' x2='258.13' y2='454.81' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='254.96' y1='461.24' x2='261.30' y2='461.24' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='258.13' y1='464.41' x2='258.13' y2='458.07' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='321.14' y1='470.71' x2='327.48' y2='470.71' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='324.31' y1='473.88' x2='324.31' y2='467.54' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='321.14' y1='480.50' x2='327.48' y2='480.50' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='324.31' y1='483.66' x2='324.31' y2='477.33' style='stroke-width: 0.75; stroke: #2297E6;' />
-<polyline points='59.59,173.91 61.80,183.92 64.99,197.74 66.21,202.78 70.40,219.35 75.03,236.32 75.80,238.99 81.20,256.86 86.60,273.16 90.48,283.96 92.01,288.04 97.41,301.66 102.81,314.15 108.21,325.62 113.62,336.17 119.02,345.90 121.36,349.88 124.42,354.88 129.82,363.19 135.23,370.89 140.63,378.04 146.03,384.68 151.43,390.87 156.84,396.65 162.24,402.04 167.64,407.09 173.04,411.82 178.45,416.26 183.85,420.43 189.25,424.35 191.95,426.23 194.65,428.05 200.06,431.53 205.46,434.82 210.86,437.93 216.26,440.87 221.67,443.65 227.07,446.28 232.47,448.78 237.87,451.16 243.28,453.41 248.68,455.55 254.08,457.58 258.13,459.05 259.48,459.52 264.89,461.36 270.29,463.12 275.69,464.79 281.09,466.39 286.49,467.91 291.90,469.36 297.30,470.74 302.70,472.06 308.10,473.32 313.51,474.52 318.91,475.68 324.31,476.77 ' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
-<line x1='57.35' y1='176.33' x2='61.83' y2='171.85' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='57.35' y1='171.85' x2='61.83' y2='176.33' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='57.35' y1='182.86' x2='61.83' y2='178.38' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='57.35' y1='178.38' x2='61.83' y2='182.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='59.56' y1='180.58' x2='64.04' y2='176.09' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='59.56' y1='176.09' x2='64.04' y2='180.58' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='59.56' y1='195.91' x2='64.04' y2='191.43' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='59.56' y1='191.43' x2='64.04' y2='195.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='63.97' y1='204.07' x2='68.45' y2='199.59' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='63.97' y1='199.59' x2='68.45' y2='204.07' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='63.97' y1='202.11' x2='68.45' y2='197.63' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='63.97' y1='197.63' x2='68.45' y2='202.11' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='72.79' y1='237.03' x2='77.27' y2='232.55' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='72.79' y1='232.55' x2='77.27' y2='237.03' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='72.79' y1='251.71' x2='77.27' y2='247.23' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='72.79' y1='247.23' x2='77.27' y2='251.71' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='88.23' y1='293.80' x2='92.72' y2='289.32' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='88.23' y1='289.32' x2='92.72' y2='293.80' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='88.23' y1='300.00' x2='92.72' y2='295.52' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='88.23' y1='295.52' x2='92.72' y2='300.00' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='119.12' y1='355.80' x2='123.60' y2='351.32' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='119.12' y1='351.32' x2='123.60' y2='355.80' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='119.12' y1='369.83' x2='123.60' y2='365.35' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='119.12' y1='365.35' x2='123.60' y2='369.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='189.71' y1='442.93' x2='194.19' y2='438.45' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='189.71' y1='438.45' x2='194.19' y2='442.93' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='189.71' y1='445.21' x2='194.19' y2='440.73' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='189.71' y1='440.73' x2='194.19' y2='445.21' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='255.89' y1='479.15' x2='260.37' y2='474.67' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='255.89' y1='474.67' x2='260.37' y2='479.15' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='255.89' y1='477.84' x2='260.37' y2='473.36' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='255.89' y1='473.36' x2='260.37' y2='477.84' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='322.07' y1='493.18' x2='326.55' y2='488.70' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='322.07' y1='488.70' x2='326.55' y2='493.18' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='322.07' y1='496.77' x2='326.55' y2='492.29' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='322.07' y1='492.29' x2='326.55' y2='496.77' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<polyline points='59.59,173.91 61.80,184.62 64.99,199.42 66.21,204.83 70.40,222.64 75.03,240.91 75.80,243.79 81.20,263.09 86.60,280.72 90.48,292.42 92.01,296.84 97.41,311.60 102.81,325.12 108.21,337.53 113.62,348.93 119.02,359.42 121.36,363.70 124.42,369.07 129.82,377.97 135.23,386.18 140.63,393.76 146.03,400.77 151.43,407.26 156.84,413.28 162.24,418.85 167.64,424.03 173.04,428.85 178.45,433.32 183.85,437.49 189.25,441.37 191.95,443.21 194.65,444.99 200.06,448.37 205.46,451.52 210.86,454.47 216.26,457.23 221.67,459.81 227.07,462.23 232.47,464.49 237.87,466.61 243.28,468.61 248.68,470.48 254.08,472.23 258.13,473.48 259.48,473.88 264.89,475.43 270.29,476.89 275.69,478.26 281.09,479.55 286.49,480.76 291.90,481.91 297.30,482.99 302.70,484.00 308.10,484.96 313.51,485.86 318.91,486.71 324.31,487.52 ' style='stroke-width: 0.75; stroke: #28E2E5; stroke-dasharray: 7.00,3.00;' />
-<polygon points='56.42,168.55 59.59,165.38 62.76,168.55 59.59,171.72 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='56.42,177.68 59.59,174.51 62.76,177.68 59.59,180.85 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='58.63,191.71 61.80,188.54 64.97,191.71 61.80,194.88 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='58.63,182.90 61.80,179.73 64.97,182.90 61.80,186.07 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='63.04,228.26 66.21,225.09 69.38,228.26 66.21,231.43 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='63.04,232.83 66.21,229.66 69.38,232.83 66.21,236.00 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='71.86,273.29 75.03,270.12 78.20,273.29 75.03,276.46 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='71.86,264.15 75.03,260.98 78.20,264.15 75.03,267.32 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='87.31,303.96 90.48,300.79 93.65,303.96 90.48,307.13 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='87.31,309.18 90.48,306.02 93.65,309.18 90.48,312.35 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='118.19,360.74 121.36,357.57 124.53,360.74 121.36,363.91 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='118.19,369.22 121.36,366.06 124.53,369.22 121.36,372.39 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='188.78,422.74 191.95,419.57 195.12,422.74 191.95,425.91 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='188.78,424.70 191.95,421.53 195.12,424.70 191.95,427.87 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='254.96,463.20 258.13,460.03 261.30,463.20 258.13,466.37 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='254.96,451.45 258.13,448.28 261.30,451.45 258.13,454.62 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='321.14,471.69 324.31,468.52 327.48,471.69 324.31,474.85 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='321.14,485.06 324.31,481.89 327.48,485.06 324.31,488.23 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polyline points='59.59,173.91 61.80,191.29 64.99,213.43 66.21,221.02 70.40,244.19 75.03,265.40 75.80,268.52 81.20,288.10 86.60,304.15 90.48,313.99 92.01,317.56 97.41,328.99 102.81,338.90 108.21,347.66 113.62,355.50 119.02,362.62 121.36,365.52 124.42,369.16 129.82,375.22 135.23,380.87 140.63,386.18 146.03,391.19 151.43,395.93 156.84,400.44 162.24,404.72 167.64,408.81 173.04,412.71 178.45,416.43 183.85,419.99 189.25,423.40 191.95,425.05 194.65,426.66 200.06,429.78 205.46,432.77 210.86,435.63 216.26,438.38 221.67,441.00 227.07,443.52 232.47,445.93 237.87,448.24 243.28,450.46 248.68,452.58 254.08,454.61 258.13,456.08 259.48,456.56 264.89,458.43 270.29,460.22 275.69,461.93 281.09,463.58 286.49,465.15 291.90,466.66 297.30,468.11 302.70,469.50 308.10,470.82 313.51,472.10 318.91,473.32 324.31,474.49 ' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
-<polygon points='59.59,172.68 62.61,167.46 56.57,167.46 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='59.59,179.86 62.61,174.64 56.57,174.64 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='61.80,177.25 64.82,172.02 58.78,172.02 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='61.80,188.35 64.82,183.12 58.78,183.12 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='66.21,214.45 69.23,209.22 63.19,209.22 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='66.21,196.18 69.23,190.95 63.19,190.95 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='75.03,241.21 78.05,235.98 72.02,235.98 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='75.03,244.47 78.05,239.24 72.02,239.24 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='90.48,278.08 93.49,272.85 87.46,272.85 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='90.48,277.43 93.49,272.20 87.46,272.20 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='121.36,343.02 124.38,337.79 118.34,337.79 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='121.36,332.90 124.38,327.67 118.34,327.67 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='191.95,411.87 194.97,406.64 188.93,406.64 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='191.95,401.10 194.97,395.87 188.93,395.87 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='258.13,428.83 261.15,423.61 255.11,423.61 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='258.13,429.81 261.15,424.59 255.11,424.59 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='324.31,447.43 327.33,442.21 321.29,442.21 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='324.31,456.90 327.33,451.67 321.29,451.67 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polyline points='59.59,173.91 61.80,183.96 64.99,197.65 66.21,202.60 70.40,218.63 75.03,234.73 75.80,237.23 81.20,253.78 86.60,268.55 90.48,278.17 92.01,281.77 97.41,293.67 102.81,304.40 108.21,314.12 113.62,322.97 119.02,331.05 121.36,334.33 124.42,338.45 129.82,345.27 135.23,351.57 140.63,357.42 146.03,362.86 151.43,367.95 156.84,372.71 162.24,377.20 167.64,381.43 173.04,385.43 178.45,389.22 183.85,392.83 189.25,396.27 191.95,397.92 194.65,399.55 200.06,402.69 205.46,405.69 210.86,408.58 216.26,411.35 221.67,414.02 227.07,416.60 232.47,419.08 237.87,421.47 243.28,423.78 248.68,426.02 254.08,428.18 258.13,429.75 259.48,430.27 264.89,432.30 270.29,434.26 275.69,436.16 281.09,438.01 286.49,439.79 291.90,441.53 297.30,443.21 302.70,444.85 308.10,446.44 313.51,447.98 318.91,449.47 324.31,450.92 ' style='stroke-width: 0.75; stroke: #F5C710;' />
-<rect x='57.35' y='172.18' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='57.35' y1='176.66' x2='61.83' y2='172.18' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='57.35' y1='172.18' x2='61.83' y2='176.66' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='57.35' y='173.81' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='57.35' y1='178.29' x2='61.83' y2='173.81' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='57.35' y1='173.81' x2='61.83' y2='178.29' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='59.56' y='182.29' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='59.56' y1='186.78' x2='64.04' y2='182.29' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='59.56' y1='182.29' x2='64.04' y2='186.78' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='59.56' y='195.35' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='59.56' y1='199.83' x2='64.04' y2='195.35' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='59.56' y1='195.35' x2='64.04' y2='199.83' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='63.97' y='212.31' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='63.97' y1='216.80' x2='68.45' y2='212.31' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='63.97' y1='212.31' x2='68.45' y2='216.80' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='63.97' y='216.56' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='63.97' y1='221.04' x2='68.45' y2='216.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='63.97' y1='216.56' x2='68.45' y2='221.04' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='72.79' y='268.11' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='72.79' y1='272.59' x2='77.27' y2='268.11' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='72.79' y1='268.11' x2='77.27' y2='272.59' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='72.79' y='275.62' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='72.79' y1='280.10' x2='77.27' y2='275.62' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='72.79' y1='275.62' x2='77.27' y2='280.10' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='88.23' y='333.70' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='88.23' y1='338.18' x2='92.72' y2='333.70' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='88.23' y1='333.70' x2='92.72' y2='338.18' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='88.23' y='333.37' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='88.23' y1='337.86' x2='92.72' y2='333.37' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='88.23' y1='333.37' x2='92.72' y2='337.86' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='119.12' y='415.60' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='119.12' y1='420.09' x2='123.60' y2='415.60' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='119.12' y1='415.60' x2='123.60' y2='420.09' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='119.12' y='401.90' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='119.12' y1='406.38' x2='123.60' y2='401.90' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='119.12' y1='401.90' x2='123.60' y2='406.38' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='189.71' y='464.22' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='189.71' y1='468.71' x2='194.19' y2='464.22' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='189.71' y1='464.22' x2='194.19' y2='468.71' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='189.71' y='468.14' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='189.71' y1='472.62' x2='194.19' y2='468.14' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='189.71' y1='468.14' x2='194.19' y2='472.62' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='255.89' y='473.36' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='255.89' y1='477.84' x2='260.37' y2='473.36' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='255.89' y1='473.36' x2='260.37' y2='477.84' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='255.89' y='488.04' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='255.89' y1='492.53' x2='260.37' y2='488.04' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='255.89' y1='488.04' x2='260.37' y2='492.53' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='322.07' y='490.33' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='322.07' y1='494.81' x2='326.55' y2='490.33' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='322.07' y1='490.33' x2='326.55' y2='494.81' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='322.07' y='497.83' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='322.07' y1='502.31' x2='326.55' y2='497.83' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='322.07' y1='497.83' x2='326.55' y2='502.31' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<polyline points='59.59,173.91 61.80,191.05 64.99,213.91 66.21,222.04 70.40,247.86 75.03,272.96 75.80,276.79 81.20,301.53 86.60,322.78 90.48,336.19 92.01,341.12 97.41,357.01 102.81,370.85 108.21,382.95 113.62,393.59 119.02,402.98 121.36,406.71 124.42,411.31 129.82,418.73 135.23,425.37 140.63,431.33 146.03,436.70 151.43,441.56 156.84,445.98 162.24,450.00 167.64,453.68 173.04,457.04 178.45,460.13 183.85,462.97 189.25,465.59 191.95,466.83 194.65,468.02 200.06,470.26 205.46,472.33 210.86,474.26 216.26,476.04 221.67,477.71 227.07,479.25 232.47,480.69 237.87,482.04 243.28,483.29 248.68,484.46 254.08,485.55 258.13,486.31 259.48,486.56 264.89,487.51 270.29,488.40 275.69,489.23 281.09,490.01 286.49,490.74 291.90,491.41 297.30,492.05 302.70,492.64 308.10,493.20 313.51,493.72 318.91,494.21 324.31,494.66 ' style='stroke-width: 0.75; stroke: #9E9E9E; stroke-dasharray: 4.00,4.00;' />
-<line x1='57.35' y1='165.24' x2='61.83' y2='160.76' style='stroke-width: 0.75;' />
-<line x1='57.35' y1='160.76' x2='61.83' y2='165.24' style='stroke-width: 0.75;' />
-<line x1='56.42' y1='163.00' x2='62.76' y2='163.00' style='stroke-width: 0.75;' />
-<line x1='59.59' y1='166.17' x2='59.59' y2='159.83' style='stroke-width: 0.75;' />
-<line x1='57.35' y1='170.79' x2='61.83' y2='166.31' style='stroke-width: 0.75;' />
-<line x1='57.35' y1='166.31' x2='61.83' y2='170.79' style='stroke-width: 0.75;' />
-<line x1='56.42' y1='168.55' x2='62.76' y2='168.55' style='stroke-width: 0.75;' />
-<line x1='59.59' y1='171.72' x2='59.59' y2='165.38' style='stroke-width: 0.75;' />
-<line x1='59.56' y1='200.48' x2='64.04' y2='196.00' style='stroke-width: 0.75;' />
-<line x1='59.56' y1='196.00' x2='64.04' y2='200.48' style='stroke-width: 0.75;' />
-<line x1='58.63' y1='198.24' x2='64.97' y2='198.24' style='stroke-width: 0.75;' />
-<line x1='61.80' y1='201.41' x2='61.80' y2='195.07' style='stroke-width: 0.75;' />
-<line x1='59.56' y1='190.69' x2='64.04' y2='186.21' style='stroke-width: 0.75;' />
-<line x1='59.56' y1='186.21' x2='64.04' y2='190.69' style='stroke-width: 0.75;' />
-<line x1='58.63' y1='188.45' x2='64.97' y2='188.45' style='stroke-width: 0.75;' />
-<line x1='61.80' y1='191.62' x2='61.80' y2='185.28' style='stroke-width: 0.75;' />
-<line x1='63.97' y1='236.37' x2='68.45' y2='231.89' style='stroke-width: 0.75;' />
-<line x1='63.97' y1='231.89' x2='68.45' y2='236.37' style='stroke-width: 0.75;' />
-<line x1='63.04' y1='234.13' x2='69.38' y2='234.13' style='stroke-width: 0.75;' />
-<line x1='66.21' y1='237.30' x2='66.21' y2='230.96' style='stroke-width: 0.75;' />
-<line x1='63.97' y1='233.11' x2='68.45' y2='228.63' style='stroke-width: 0.75;' />
-<line x1='63.97' y1='228.63' x2='68.45' y2='233.11' style='stroke-width: 0.75;' />
-<line x1='63.04' y1='230.87' x2='69.38' y2='230.87' style='stroke-width: 0.75;' />
-<line x1='66.21' y1='234.04' x2='66.21' y2='227.70' style='stroke-width: 0.75;' />
-<line x1='72.79' y1='288.58' x2='77.27' y2='284.10' style='stroke-width: 0.75;' />
-<line x1='72.79' y1='284.10' x2='77.27' y2='288.58' style='stroke-width: 0.75;' />
-<line x1='71.86' y1='286.34' x2='78.20' y2='286.34' style='stroke-width: 0.75;' />
-<line x1='75.03' y1='289.51' x2='75.03' y2='283.17' style='stroke-width: 0.75;' />
-<line x1='72.79' y1='272.92' x2='77.27' y2='268.44' style='stroke-width: 0.75;' />
-<line x1='72.79' y1='268.44' x2='77.27' y2='272.92' style='stroke-width: 0.75;' />
-<line x1='71.86' y1='270.68' x2='78.20' y2='270.68' style='stroke-width: 0.75;' />
-<line x1='75.03' y1='273.85' x2='75.03' y2='267.51' style='stroke-width: 0.75;' />
-<line x1='88.23' y1='335.25' x2='92.72' y2='330.76' style='stroke-width: 0.75;' />
-<line x1='88.23' y1='330.76' x2='92.72' y2='335.25' style='stroke-width: 0.75;' />
-<line x1='87.31' y1='333.00' x2='93.65' y2='333.00' style='stroke-width: 0.75;' />
-<line x1='90.48' y1='336.17' x2='90.48' y2='329.84' style='stroke-width: 0.75;' />
-<line x1='88.23' y1='343.08' x2='92.72' y2='338.60' style='stroke-width: 0.75;' />
-<line x1='88.23' y1='338.60' x2='92.72' y2='343.08' style='stroke-width: 0.75;' />
-<line x1='87.31' y1='340.84' x2='93.65' y2='340.84' style='stroke-width: 0.75;' />
-<line x1='90.48' y1='344.01' x2='90.48' y2='337.67' style='stroke-width: 0.75;' />
-<line x1='119.12' y1='387.45' x2='123.60' y2='382.97' style='stroke-width: 0.75;' />
-<line x1='119.12' y1='382.97' x2='123.60' y2='387.45' style='stroke-width: 0.75;' />
-<line x1='118.19' y1='385.21' x2='124.53' y2='385.21' style='stroke-width: 0.75;' />
-<line x1='121.36' y1='388.38' x2='121.36' y2='382.04' style='stroke-width: 0.75;' />
-<line x1='119.12' y1='379.62' x2='123.60' y2='375.14' style='stroke-width: 0.75;' />
-<line x1='119.12' y1='375.14' x2='123.60' y2='379.62' style='stroke-width: 0.75;' />
-<line x1='118.19' y1='377.38' x2='124.53' y2='377.38' style='stroke-width: 0.75;' />
-<line x1='121.36' y1='380.55' x2='121.36' y2='374.21' style='stroke-width: 0.75;' />
-<line x1='189.71' y1='432.81' x2='194.19' y2='428.33' style='stroke-width: 0.75;' />
-<line x1='189.71' y1='428.33' x2='194.19' y2='432.81' style='stroke-width: 0.75;' />
-<line x1='188.78' y1='430.57' x2='195.12' y2='430.57' style='stroke-width: 0.75;' />
-<line x1='191.95' y1='433.74' x2='191.95' y2='427.40' style='stroke-width: 0.75;' />
-<line x1='189.71' y1='431.51' x2='194.19' y2='427.02' style='stroke-width: 0.75;' />
-<line x1='189.71' y1='427.02' x2='194.19' y2='431.51' style='stroke-width: 0.75;' />
-<line x1='188.78' y1='429.27' x2='195.12' y2='429.27' style='stroke-width: 0.75;' />
-<line x1='191.95' y1='432.43' x2='191.95' y2='426.10' style='stroke-width: 0.75;' />
-<line x1='255.89' y1='452.06' x2='260.37' y2='447.58' style='stroke-width: 0.75;' />
-<line x1='255.89' y1='447.58' x2='260.37' y2='452.06' style='stroke-width: 0.75;' />
-<line x1='254.96' y1='449.82' x2='261.30' y2='449.82' style='stroke-width: 0.75;' />
-<line x1='258.13' y1='452.99' x2='258.13' y2='446.65' style='stroke-width: 0.75;' />
-<line x1='255.89' y1='469.03' x2='260.37' y2='464.55' style='stroke-width: 0.75;' />
-<line x1='255.89' y1='464.55' x2='260.37' y2='469.03' style='stroke-width: 0.75;' />
-<line x1='254.96' y1='466.79' x2='261.30' y2='466.79' style='stroke-width: 0.75;' />
-<line x1='258.13' y1='469.96' x2='258.13' y2='463.62' style='stroke-width: 0.75;' />
-<line x1='322.07' y1='479.80' x2='326.55' y2='475.32' style='stroke-width: 0.75;' />
-<line x1='322.07' y1='475.32' x2='326.55' y2='479.80' style='stroke-width: 0.75;' />
-<line x1='321.14' y1='477.56' x2='327.48' y2='477.56' style='stroke-width: 0.75;' />
-<line x1='324.31' y1='480.73' x2='324.31' y2='474.39' style='stroke-width: 0.75;' />
-<line x1='322.07' y1='480.13' x2='326.55' y2='475.64' style='stroke-width: 0.75;' />
-<line x1='322.07' y1='475.64' x2='326.55' y2='480.13' style='stroke-width: 0.75;' />
-<line x1='321.14' y1='477.88' x2='327.48' y2='477.88' style='stroke-width: 0.75;' />
-<line x1='324.31' y1='481.05' x2='324.31' y2='474.72' style='stroke-width: 0.75;' />
-<polyline points='59.59,173.91 61.80,194.61 64.99,220.76 66.21,229.66 70.40,256.54 75.03,280.66 75.80,284.17 81.20,305.81 86.60,323.02 90.48,333.27 92.01,336.94 97.41,348.41 102.81,358.04 108.21,366.29 113.62,373.48 119.02,379.85 121.36,382.40 124.42,385.58 129.82,390.81 135.23,395.62 140.63,400.09 146.03,404.28 151.43,408.23 156.84,411.97 162.24,415.52 167.64,418.91 173.04,422.14 178.45,425.22 183.85,428.18 189.25,431.02 191.95,432.39 194.65,433.74 200.06,436.35 205.46,438.86 210.86,441.27 216.26,443.58 221.67,445.80 227.07,447.94 232.47,450.00 237.87,451.97 243.28,453.87 248.68,455.70 254.08,457.45 258.13,458.72 259.48,459.14 264.89,460.76 270.29,462.32 275.69,463.82 281.09,465.26 286.49,466.65 291.90,467.99 297.30,469.27 302.70,470.50 308.10,471.69 313.51,472.83 318.91,473.93 324.31,474.98 ' style='stroke-width: 0.75; stroke-dasharray: 1.00,3.00;' />
-<line x1='56.42' y1='170.50' x2='62.76' y2='170.50' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='59.59' y1='173.67' x2='59.59' y2='167.33' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='56.42,170.50 59.59,167.33 62.76,170.50 59.59,173.67 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='56.42' y1='185.84' x2='62.76' y2='185.84' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='59.59' y1='189.01' x2='59.59' y2='182.67' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='56.42,185.84 59.59,182.67 62.76,185.84 59.59,189.01 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='58.63' y1='193.35' x2='64.97' y2='193.35' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='61.80' y1='196.51' x2='61.80' y2='190.18' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='58.63,193.35 61.80,190.18 64.97,193.35 61.80,196.51 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='58.63' y1='183.23' x2='64.97' y2='183.23' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='61.80' y1='186.40' x2='61.80' y2='180.06' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='58.63,183.23 61.80,180.06 64.97,183.23 61.80,186.40 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='63.04' y1='216.84' x2='69.38' y2='216.84' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='66.21' y1='220.01' x2='66.21' y2='213.67' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='63.04,216.84 66.21,213.67 69.38,216.84 66.21,220.01 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='63.04' y1='220.43' x2='69.38' y2='220.43' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='66.21' y1='223.60' x2='66.21' y2='217.26' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='63.04,220.43 66.21,217.26 69.38,220.43 66.21,223.60 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='71.86' y1='261.22' x2='78.20' y2='261.22' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='75.03' y1='264.39' x2='75.03' y2='258.05' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='71.86,261.22 75.03,258.05 78.20,261.22 75.03,264.39 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='71.86' y1='260.56' x2='78.20' y2='260.56' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='75.03' y1='263.73' x2='75.03' y2='257.40' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='71.86,260.56 75.03,257.40 78.20,260.56 75.03,263.73 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='87.31' y1='317.34' x2='93.65' y2='317.34' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='90.48' y1='320.51' x2='90.48' y2='314.17' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='87.31,317.34 90.48,314.17 93.65,317.34 90.48,320.51 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='87.31' y1='318.97' x2='93.65' y2='318.97' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='90.48' y1='322.14' x2='90.48' y2='315.80' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='87.31,318.97 90.48,315.80 93.65,318.97 90.48,322.14 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='118.19' y1='380.32' x2='124.53' y2='380.32' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='121.36' y1='383.49' x2='121.36' y2='377.15' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='118.19,380.32 121.36,377.15 124.53,380.32 121.36,383.49 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='118.19' y1='384.89' x2='124.53' y2='384.89' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='121.36' y1='388.06' x2='121.36' y2='381.72' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='118.19,384.89 121.36,381.72 124.53,384.89 121.36,388.06 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='188.78' y1='435.14' x2='195.12' y2='435.14' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='191.95' y1='438.31' x2='191.95' y2='431.97' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='188.78,435.14 191.95,431.97 195.12,435.14 191.95,438.31 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='188.78' y1='429.92' x2='195.12' y2='429.92' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='191.95' y1='433.09' x2='191.95' y2='426.75' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='188.78,429.92 191.95,426.75 195.12,429.92 191.95,433.09 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='254.96' y1='455.37' x2='261.30' y2='455.37' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='258.13' y1='458.54' x2='258.13' y2='452.20' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='254.96,455.37 258.13,452.20 261.30,455.37 258.13,458.54 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='254.96' y1='447.54' x2='261.30' y2='447.54' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='258.13' y1='450.71' x2='258.13' y2='444.37' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='254.96,447.54 258.13,444.37 261.30,447.54 258.13,450.71 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='321.14' y1='470.38' x2='327.48' y2='470.38' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='324.31' y1='473.55' x2='324.31' y2='467.21' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='321.14,470.38 324.31,467.21 327.48,470.38 324.31,473.55 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='321.14' y1='483.43' x2='327.48' y2='483.43' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='324.31' y1='486.60' x2='324.31' y2='480.26' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='321.14,483.43 324.31,480.26 327.48,483.43 324.31,486.60 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<polyline points='59.59,173.91 61.80,189.73 64.99,210.64 66.21,218.01 70.40,241.24 75.03,263.51 75.80,266.87 81.20,288.45 86.60,306.73 90.48,318.14 92.01,322.31 97.41,335.69 102.81,347.26 108.21,357.34 113.62,366.19 119.02,374.03 121.36,377.15 124.42,381.02 129.82,387.30 135.23,392.99 140.63,398.17 146.03,402.93 151.43,407.32 156.84,411.40 162.24,415.20 167.64,418.76 173.04,422.12 178.45,425.28 183.85,428.28 189.25,431.12 191.95,432.49 194.65,433.83 200.06,436.41 205.46,438.87 210.86,441.22 216.26,443.48 221.67,445.64 227.07,447.71 232.47,449.70 237.87,451.61 243.28,453.44 248.68,455.21 254.08,456.90 258.13,458.13 259.48,458.54 264.89,460.11 270.29,461.62 275.69,463.07 281.09,464.47 286.49,465.82 291.90,467.12 297.30,468.37 302.70,469.58 308.10,470.74 313.51,471.86 318.91,472.94 324.31,473.97 ' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
-<circle cx='59.59' cy='171.48' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='57.35' y1='171.48' x2='61.83' y2='171.48' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='59.59' y1='173.72' x2='59.59' y2='169.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='59.59' cy='173.44' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='57.35' y1='173.44' x2='61.83' y2='173.44' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='59.59' y1='175.68' x2='59.59' y2='171.20' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='61.80' cy='176.05' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='59.56' y1='176.05' x2='64.04' y2='176.05' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='61.80' y1='178.29' x2='61.80' y2='173.81' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='61.80' cy='196.61' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='59.56' y1='196.61' x2='64.04' y2='196.61' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='61.80' y1='198.85' x2='61.80' y2='194.37' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='66.21' cy='198.57' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='63.97' y1='198.57' x2='68.45' y2='198.57' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='66.21' y1='200.81' x2='66.21' y2='196.33' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='66.21' cy='201.83' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='63.97' y1='201.83' x2='68.45' y2='201.83' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='66.21' y1='204.07' x2='66.21' y2='199.59' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='75.03' cy='232.18' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='72.79' y1='232.18' x2='77.27' y2='232.18' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='75.03' y1='234.42' x2='75.03' y2='229.94' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='75.03' cy='227.28' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='72.79' y1='227.28' x2='77.27' y2='227.28' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='75.03' y1='229.52' x2='75.03' y2='225.04' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='90.48' cy='278.84' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='88.23' y1='278.84' x2='92.72' y2='278.84' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='90.48' y1='281.08' x2='90.48' y2='276.60' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='90.48' cy='274.27' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='88.23' y1='274.27' x2='92.72' y2='274.27' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='90.48' y1='276.51' x2='90.48' y2='272.03' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='121.36' cy='343.77' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='119.12' y1='343.77' x2='123.60' y2='343.77' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='121.36' y1='346.01' x2='121.36' y2='341.53' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='121.36' cy='337.25' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='119.12' y1='337.25' x2='123.60' y2='337.25' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='121.36' y1='339.49' x2='121.36' y2='335.01' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='191.95' cy='409.03' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='189.71' y1='409.03' x2='194.19' y2='409.03' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='191.95' y1='411.28' x2='191.95' y2='406.79' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='191.95' cy='408.71' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='189.71' y1='408.71' x2='194.19' y2='408.71' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='191.95' y1='410.95' x2='191.95' y2='406.47' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='258.13' cy='454.39' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='255.89' y1='454.39' x2='260.37' y2='454.39' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='258.13' y1='456.63' x2='258.13' y2='452.15' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='258.13' cy='465.16' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='255.89' y1='465.16' x2='260.37' y2='465.16' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='258.13' y1='467.40' x2='258.13' y2='462.92' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='324.31' cy='473.32' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='322.07' y1='473.32' x2='326.55' y2='473.32' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='324.31' y1='475.56' x2='324.31' y2='471.08' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='324.31' cy='472.66' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='322.07' y1='472.66' x2='326.55' y2='472.66' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='324.31' y1='474.91' x2='324.31' y2='470.42' style='stroke-width: 0.75; stroke: #61D04F;' />
-<polyline points='59.59,173.91 61.80,183.01 64.99,195.61 66.21,200.23 70.40,215.45 75.03,231.15 75.80,233.63 81.20,250.30 86.60,265.62 90.48,275.85 92.01,279.73 97.41,292.73 102.81,304.73 108.21,315.84 113.62,326.12 119.02,335.66 121.36,339.58 124.42,344.53 129.82,352.78 135.23,360.48 140.63,367.66 146.03,374.37 151.43,380.66 156.84,386.55 162.24,392.08 167.64,397.28 173.04,402.18 178.45,406.79 183.85,411.14 189.25,415.25 191.95,417.22 194.65,419.14 200.06,422.81 205.46,426.29 210.86,429.60 216.26,432.73 221.67,435.70 227.07,438.53 232.47,441.22 237.87,443.78 243.28,446.22 248.68,448.54 254.08,450.76 258.13,452.35 259.48,452.87 264.89,454.88 270.29,456.81 275.69,458.65 281.09,460.41 286.49,462.09 291.90,463.69 297.30,465.23 302.70,466.70 308.10,468.11 313.51,469.45 318.91,470.75 324.31,471.98 ' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 7.00,3.00;' />
-<polygon points='59.59,178.56 62.61,172.46 56.57,172.46 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='59.59,171.59 62.61,177.69 56.57,177.69 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='59.59,182.80 62.61,176.70 56.57,176.70 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='59.59,175.83 62.61,181.93 56.57,181.93 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='61.80,192.91 64.82,186.82 58.78,186.82 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='61.80,185.94 64.82,192.04 58.78,192.04 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='61.80,189.98 64.82,183.88 58.78,183.88 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='61.80,183.01 64.82,189.11 58.78,189.11 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='66.21,193.57 69.23,187.47 63.19,187.47 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='66.21,186.60 69.23,192.70 63.19,192.70 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='66.21,191.28 69.23,185.18 63.19,185.18 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='66.21,184.31 69.23,190.41 63.19,190.41 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='75.03,231.75 78.05,225.65 72.02,225.65 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='75.03,224.78 78.05,230.87 72.02,230.87 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='75.03,220.65 78.05,214.55 72.02,214.55 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='75.03,213.68 78.05,219.78 72.02,219.78 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='90.48,268.94 93.49,262.85 87.46,262.85 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='90.48,261.97 93.49,268.07 87.46,268.07 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='90.48,266.01 93.49,259.91 87.46,259.91 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='90.48,259.04 93.49,265.14 87.46,265.14 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='121.36,324.42 124.38,318.32 118.34,318.32 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='121.36,317.45 124.38,323.55 118.34,323.55 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='121.36,327.35 124.38,321.25 118.34,321.25 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='121.36,320.38 124.38,326.48 118.34,326.48 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='191.95,392.94 194.97,386.84 188.93,386.84 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='191.95,385.97 194.97,392.07 188.93,392.07 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='191.95,401.75 194.97,395.65 188.93,395.65 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='191.95,394.78 194.97,400.88 188.93,400.88 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='258.13,438.62 261.15,432.53 255.11,432.53 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='258.13,431.65 261.15,437.75 255.11,437.75 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='258.13,434.06 261.15,427.96 255.11,427.96 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='258.13,427.09 261.15,433.18 255.11,433.18 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='324.31,460.49 327.33,454.39 321.29,454.39 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='324.31,453.52 327.33,459.62 321.29,459.62 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='324.31,456.90 327.33,450.80 321.29,450.80 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='324.31,449.93 327.33,456.03 321.29,456.03 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polyline points='59.59,173.91 61.80,181.79 64.99,192.74 66.21,196.76 70.40,210.05 75.03,223.82 75.80,226.00 81.20,240.72 86.60,254.32 90.48,263.44 92.01,266.91 97.41,278.58 102.81,289.41 108.21,299.49 113.62,308.89 119.02,317.65 121.36,321.27 124.42,325.85 129.82,333.52 135.23,340.72 140.63,347.48 146.03,353.83 151.43,359.83 156.84,365.48 162.24,370.82 167.64,375.88 173.04,380.67 178.45,385.21 183.85,389.53 189.25,393.64 191.95,395.62 194.65,397.55 200.06,401.28 205.46,404.84 210.86,408.23 216.26,411.48 221.67,414.59 227.07,417.57 232.47,420.42 237.87,423.16 243.28,425.79 248.68,428.31 254.08,430.74 258.13,432.50 259.48,433.08 264.89,435.32 270.29,437.48 275.69,439.56 281.09,441.57 286.49,443.51 291.90,445.37 297.30,447.17 302.70,448.91 308.10,450.58 313.51,452.20 318.91,453.77 324.31,455.28 ' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
-<line x1='57.35' y1='179.31' x2='61.83' y2='179.31' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='59.59' y1='181.56' x2='59.59' y2='177.07' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='57.35' y='177.07' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='57.35' y1='175.40' x2='61.83' y2='175.40' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='59.59' y1='177.64' x2='59.59' y2='173.16' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='57.35' y='173.16' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='59.56' y1='179.31' x2='64.04' y2='179.31' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='61.80' y1='181.56' x2='61.80' y2='177.07' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='59.56' y='177.07' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='59.56' y1='189.76' x2='64.04' y2='189.76' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='61.80' y1='192.00' x2='61.80' y2='187.52' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='59.56' y='187.52' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='63.97' y1='204.11' x2='68.45' y2='204.11' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='66.21' y1='206.35' x2='66.21' y2='201.87' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='63.97' y='201.87' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='63.97' y1='202.16' x2='68.45' y2='202.16' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='66.21' y1='204.40' x2='66.21' y2='199.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='63.97' y='199.91' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='72.79' y1='231.85' x2='77.27' y2='231.85' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='75.03' y1='234.09' x2='75.03' y2='229.61' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='72.79' y='229.61' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='72.79' y1='230.54' x2='77.27' y2='230.54' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='75.03' y1='232.79' x2='75.03' y2='228.30' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='72.79' y='228.30' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='88.23' y1='281.12' x2='92.72' y2='281.12' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='90.48' y1='283.36' x2='90.48' y2='278.88' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='88.23' y='278.88' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='88.23' y1='276.55' x2='92.72' y2='276.55' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='90.48' y1='278.79' x2='90.48' y2='274.31' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='88.23' y='274.31' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='119.12' y1='338.88' x2='123.60' y2='338.88' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='121.36' y1='341.12' x2='121.36' y2='336.64' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='119.12' y='336.64' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='119.12' y1='357.48' x2='123.60' y2='357.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='121.36' y1='359.72' x2='121.36' y2='355.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='119.12' y='355.24' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='189.71' y1='416.54' x2='194.19' y2='416.54' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='191.95' y1='418.78' x2='191.95' y2='414.30' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='189.71' y='414.30' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='189.71' y1='415.89' x2='194.19' y2='415.89' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='191.95' y1='418.13' x2='191.95' y2='413.65' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='189.71' y='413.65' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='255.89' y1='457.98' x2='260.37' y2='457.98' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='258.13' y1='460.22' x2='258.13' y2='455.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='255.89' y='455.74' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='255.89' y1='462.55' x2='260.37' y2='462.55' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='258.13' y1='464.79' x2='258.13' y2='460.31' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='255.89' y='460.31' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='322.07' y1='468.42' x2='326.55' y2='468.42' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='324.31' y1='470.66' x2='324.31' y2='466.18' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='322.07' y='466.18' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='322.07' y1='474.30' x2='326.55' y2='474.30' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='324.31' y1='476.54' x2='324.31' y2='472.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='322.07' y='472.05' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<polyline points='59.59,173.91 61.80,183.56 64.99,196.89 66.21,201.76 70.40,217.77 75.03,234.18 75.80,236.77 81.20,254.09 86.60,269.92 90.48,280.42 92.01,284.40 97.41,297.68 102.81,309.87 108.21,321.09 113.62,331.43 119.02,340.99 121.36,344.90 124.42,349.83 129.82,358.02 135.23,365.63 140.63,372.71 146.03,379.31 151.43,385.47 156.84,391.23 162.24,396.62 167.64,401.67 173.04,406.42 178.45,410.89 183.85,415.09 189.25,419.06 191.95,420.96 194.65,422.80 200.06,426.34 205.46,429.69 210.86,432.86 216.26,435.86 221.67,438.72 227.07,441.43 232.47,444.00 237.87,446.45 243.28,448.78 248.68,451.01 254.08,453.12 258.13,454.65 259.48,455.14 264.89,457.07 270.29,458.91 275.69,460.67 281.09,462.34 286.49,463.95 291.90,465.48 297.30,466.95 302.70,468.35 308.10,469.70 313.51,470.99 318.91,472.22 324.31,473.40 ' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<circle cx='59.59' cy='168.87' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='57.35' y1='171.11' x2='61.83' y2='166.63' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='57.35' y1='166.63' x2='61.83' y2='171.11' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='59.59' cy='168.22' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='57.35' y1='170.46' x2='61.83' y2='165.98' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='57.35' y1='165.98' x2='61.83' y2='170.46' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='61.80' cy='179.64' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='59.56' y1='181.88' x2='64.04' y2='177.40' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='59.56' y1='177.40' x2='64.04' y2='181.88' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='61.80' cy='196.93' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='59.56' y1='199.18' x2='64.04' y2='194.69' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='59.56' y1='194.69' x2='64.04' y2='199.18' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='66.21' cy='190.41' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='63.97' y1='192.65' x2='68.45' y2='188.17' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='63.97' y1='188.17' x2='68.45' y2='192.65' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='66.21' cy='209.66' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='63.97' y1='211.90' x2='68.45' y2='207.42' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='63.97' y1='207.42' x2='68.45' y2='211.90' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='75.03' cy='244.58' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='72.79' y1='246.82' x2='77.27' y2='242.33' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='72.79' y1='242.33' x2='77.27' y2='246.82' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='75.03' cy='248.82' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='72.79' y1='251.06' x2='77.27' y2='246.58' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='72.79' y1='246.58' x2='77.27' y2='251.06' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='90.48' cy='292.22' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='88.23' y1='294.46' x2='92.72' y2='289.98' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='88.23' y1='289.98' x2='92.72' y2='294.46' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='90.48' cy='294.50' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='88.23' y1='296.74' x2='92.72' y2='292.26' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='88.23' y1='292.26' x2='92.72' y2='296.74' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='121.36' cy='359.44' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='119.12' y1='361.68' x2='123.60' y2='357.19' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='119.12' y1='357.19' x2='123.60' y2='361.68' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='121.36' cy='368.90' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='119.12' y1='371.14' x2='123.60' y2='366.66' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='119.12' y1='366.66' x2='123.60' y2='371.14' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='191.95' cy='432.85' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='189.71' y1='435.10' x2='194.19' y2='430.61' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='189.71' y1='430.61' x2='194.19' y2='435.10' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='191.95' cy='430.57' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='189.71' y1='432.81' x2='194.19' y2='428.33' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='189.71' y1='428.33' x2='194.19' y2='432.81' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='258.13' cy='454.06' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='255.89' y1='456.31' x2='260.37' y2='451.82' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='255.89' y1='451.82' x2='260.37' y2='456.31' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='258.13' cy='452.43' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='255.89' y1='454.67' x2='260.37' y2='450.19' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='255.89' y1='450.19' x2='260.37' y2='454.67' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='324.31' cy='480.82' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='322.07' y1='483.06' x2='326.55' y2='478.58' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='322.07' y1='478.58' x2='326.55' y2='483.06' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='324.31' cy='495.18' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='322.07' y1='497.42' x2='326.55' y2='492.94' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='322.07' y1='492.94' x2='326.55' y2='497.42' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<polyline points='59.59,173.91 61.80,185.53 64.99,201.38 66.21,207.12 70.40,225.73 75.03,244.46 75.80,247.37 81.20,266.66 86.60,283.91 90.48,295.17 92.01,299.39 97.41,313.30 102.81,325.86 108.21,337.24 113.62,347.57 119.02,356.98 121.36,360.80 124.42,365.58 129.82,373.46 135.23,380.71 140.63,387.39 146.03,393.57 151.43,399.29 156.84,404.62 162.24,409.58 167.64,414.20 173.04,418.53 178.45,422.59 183.85,426.41 189.25,429.99 191.95,431.71 194.65,433.37 200.06,436.56 205.46,439.58 210.86,442.43 216.26,445.13 221.67,447.69 227.07,450.11 232.47,452.42 237.87,454.61 243.28,456.70 248.68,458.68 254.08,460.57 258.13,461.93 259.48,462.37 264.89,464.09 270.29,465.73 275.69,467.29 281.09,468.78 286.49,470.20 291.90,471.56 297.30,472.86 302.70,474.09 308.10,475.28 313.51,476.41 318.91,477.49 324.31,478.52 ' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 4.00,4.00;' />
-<polygon points='59.59,169.24 61.83,173.72 57.35,173.72 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='57.35' y='169.24' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='59.59,175.12 61.83,179.60 57.35,179.60 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='57.35' y='175.12' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='61.80,175.12 64.04,179.60 59.56,179.60 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='59.56' y='175.12' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='61.80,185.23 64.04,189.71 59.56,189.71 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='59.56' y='185.23' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='66.21,203.50 68.45,207.99 63.97,207.99 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='63.97' y='203.50' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='66.21,205.79 68.45,210.27 63.97,210.27 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='63.97' y='205.79' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='75.03,253.10 77.27,257.58 72.79,257.58 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='72.79' y='253.10' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='75.03,248.53 77.27,253.02 72.79,253.02 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='72.79' y='248.53' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='90.48,296.83 92.72,301.31 88.23,301.31 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='88.23' y='296.83' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='90.48,293.56 92.72,298.05 88.23,298.05 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='88.23' y='293.56' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='121.36,367.96 123.60,372.44 119.12,372.44 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='119.12' y='367.96' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='121.36,369.59 123.60,374.08 119.12,374.08 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='119.12' y='369.59' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='191.95,439.42 194.19,443.91 189.71,443.91 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='189.71' y='439.42' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='191.95,427.02 194.19,431.51 189.71,431.51 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='189.71' y='427.02' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='258.13,460.31 260.37,464.79 255.89,464.79 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='255.89' y='460.31' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='258.13,468.79 260.37,473.27 255.89,473.27 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='255.89' y='468.79' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='324.31,493.26 326.55,497.75 322.07,497.75 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='322.07' y='493.26' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='324.31,477.60 326.55,482.08 322.07,482.08 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='322.07' y='477.60' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polyline points='59.59,173.91 61.80,186.27 64.99,203.08 66.21,209.15 70.40,228.78 75.03,248.44 75.80,251.49 81.20,271.63 86.60,289.54 90.48,301.18 92.01,305.53 97.41,319.84 102.81,332.70 108.21,344.30 113.62,354.79 119.02,364.31 121.36,368.16 124.42,372.98 129.82,380.90 135.23,388.15 140.63,394.83 146.03,400.97 151.43,406.66 156.84,411.93 162.24,416.82 167.64,421.38 173.04,425.63 178.45,429.60 183.85,433.32 189.25,436.81 191.95,438.48 194.65,440.10 200.06,443.18 205.46,446.09 210.86,448.84 216.26,451.43 221.67,453.88 227.07,456.19 232.47,458.39 237.87,460.46 243.28,462.44 248.68,464.30 254.08,466.08 258.13,467.35 259.48,467.76 264.89,469.36 270.29,470.89 275.69,472.33 281.09,473.71 286.49,475.01 291.90,476.26 297.30,477.44 302.70,478.57 308.10,479.64 313.51,480.67 318.91,481.64 324.31,482.56 ' style='stroke-width: 0.75; stroke: #F5C710; stroke-dasharray: 1.00,3.00;' />
-<polygon points='57.35,183.51 61.83,183.51 61.83,179.03 57.35,179.03 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='57.35,161.98 61.83,161.98 61.83,157.50 57.35,157.50 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='59.56,176.01 64.04,176.01 64.04,171.53 59.56,171.53 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='59.56,182.86 64.04,182.86 64.04,178.38 59.56,178.38 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='63.97,209.29 68.45,209.29 68.45,204.81 63.97,204.81 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='63.97,205.70 68.45,205.70 68.45,201.22 63.97,201.22 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='72.79,256.93 77.27,256.93 77.27,252.45 72.79,252.45 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='72.79,258.56 77.27,258.56 77.27,254.08 72.79,254.08 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='88.23,300.66 92.72,300.66 92.72,296.18 88.23,296.18 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='88.23,305.55 92.72,305.55 92.72,301.07 88.23,301.07 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='119.12,358.09 123.60,358.09 123.60,353.61 119.12,353.61 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='119.12,347.97 123.60,347.97 123.60,343.49 119.12,343.49 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='189.71,414.54 194.19,414.54 194.19,410.06 189.71,410.06 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='189.71,436.40 194.19,436.40 194.19,431.92 189.71,431.92 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='255.89,444.56 260.37,444.56 260.37,440.08 255.89,440.08 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='255.89,431.83 260.37,431.83 260.37,427.35 255.89,427.35 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='322.07,455.98 326.55,455.98 326.55,451.50 322.07,451.50 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='322.07,468.71 326.55,468.71 326.55,464.22 322.07,464.22 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polyline points='59.59,173.91 61.80,186.92 64.99,204.32 66.21,210.51 70.40,230.25 75.03,249.52 75.80,252.46 81.20,271.58 86.60,288.12 90.48,298.63 92.01,302.51 97.41,315.09 102.81,326.17 108.21,335.98 113.62,344.72 119.02,352.57 121.36,355.72 124.42,359.65 129.82,366.08 135.23,371.96 140.63,377.36 146.03,382.36 151.43,387.00 156.84,391.33 162.24,395.40 167.64,399.22 173.04,402.83 178.45,406.26 183.85,409.51 189.25,412.61 191.95,414.11 194.65,415.57 200.06,418.41 205.46,421.13 210.86,423.73 216.26,426.24 221.67,428.66 227.07,430.98 232.47,433.22 237.87,435.38 243.28,437.47 248.68,439.49 254.08,441.44 258.13,442.85 259.48,443.32 264.89,445.14 270.29,446.90 275.69,448.61 281.09,450.26 286.49,451.85 291.90,453.40 297.30,454.90 302.70,456.34 308.10,457.75 313.51,459.11 318.91,460.42 324.31,461.70 ' style='stroke-width: 0.75; stroke: #9E9E9E; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<circle cx='59.59' cy='165.03' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='59.59' cy='172.63' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='61.80' cy='184.54' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='61.80' cy='181.56' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='66.21' cy='188.84' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='66.21' cy='198.10' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='75.03' cy='230.84' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='75.03' cy='223.24' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='90.48' cy='279.13' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='90.48' cy='289.71' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='121.36' cy='352.55' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='121.36' cy='353.54' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='191.95' cy='413.41' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='191.95' cy='405.14' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='258.13' cy='439.20' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='258.13' cy='445.49' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='324.31' cy='471.28' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='324.31' cy='460.37' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polyline points='59.59,169.72 61.80,180.49 64.99,195.18 66.21,200.50 70.40,217.78 75.03,235.18 75.80,237.90 81.20,255.86 86.60,271.94 90.48,282.44 92.01,286.38 97.41,299.41 102.81,311.18 108.21,321.86 113.62,331.59 119.02,340.48 121.36,344.09 124.42,348.62 129.82,356.12 135.23,363.03 140.63,369.43 146.03,375.38 151.43,380.92 156.84,386.09 162.24,390.94 167.64,395.49 173.04,399.77 178.45,403.81 183.85,407.63 189.25,411.26 191.95,413.00 194.65,414.69 200.06,417.96 205.46,421.07 210.86,424.04 216.26,426.87 221.67,429.58 227.07,432.17 232.47,434.65 237.87,437.03 243.28,439.32 248.68,441.51 254.08,443.61 258.13,445.14 259.48,445.64 264.89,447.59 270.29,449.46 275.69,451.26 281.09,453.00 286.49,454.67 291.90,456.29 297.30,457.84 302.70,459.34 308.10,460.78 313.51,462.18 318.91,463.52 324.31,464.82 ' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 4.00,4.00;' />
+<polygon points='59.59,156.25 62.61,161.48 56.57,161.48 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='59.59,163.53 62.61,168.75 56.57,168.75 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='61.80,181.72 64.82,186.94 58.78,186.94 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='61.80,168.49 64.82,173.72 58.78,173.72 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='66.21,194.28 69.23,199.51 63.19,199.51 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='66.21,193.29 69.23,198.52 63.19,198.52 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='75.03,223.06 78.05,228.29 72.02,228.29 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='75.03,228.68 78.05,233.91 72.02,233.91 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='90.48,269.69 93.49,274.92 87.46,274.92 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='90.48,265.06 93.49,270.29 87.46,270.29 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='121.36,322.28 124.38,327.50 118.34,327.50 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='121.36,332.86 124.38,338.09 118.34,338.09 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='191.95,402.97 194.97,408.20 188.93,408.20 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='191.95,397.02 194.97,402.25 188.93,402.25 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='258.13,437.37 261.15,442.60 255.11,442.60 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='258.13,448.62 261.15,453.84 255.11,453.84 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='324.31,458.87 327.33,464.10 321.29,464.10 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='324.31,456.88 327.33,462.11 321.29,462.11 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polyline points='59.59,169.83 61.80,179.07 64.99,191.82 66.21,196.47 70.40,211.75 75.03,227.40 75.80,229.86 81.20,246.34 86.60,261.39 90.48,271.36 92.01,275.14 97.41,287.74 102.81,299.32 108.21,309.98 113.62,319.82 119.02,328.91 121.36,332.65 124.42,337.35 129.82,345.18 135.23,352.48 140.63,359.29 146.03,365.65 151.43,371.62 156.84,377.22 162.24,382.48 167.64,387.44 173.04,392.13 178.45,396.56 183.85,400.75 189.25,404.72 191.95,406.63 194.65,408.50 200.06,412.09 205.46,415.50 210.86,418.76 216.26,421.86 221.67,424.83 227.07,427.66 232.47,430.37 237.87,432.97 243.28,435.46 248.68,437.84 254.08,440.13 258.13,441.79 259.48,442.33 264.89,444.43 270.29,446.46 275.69,448.41 281.09,450.28 286.49,452.08 291.90,453.82 297.30,455.49 302.70,457.09 308.10,458.64 313.51,460.13 318.91,461.57 324.31,462.95 ' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 1.00,3.00;' />
+<line x1='56.42' y1='160.40' x2='62.76' y2='160.40' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='59.59' y1='163.57' x2='59.59' y2='157.23' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='56.42' y1='164.04' x2='62.76' y2='164.04' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='59.59' y1='167.20' x2='59.59' y2='160.87' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='58.63' y1='173.96' x2='64.97' y2='173.96' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='61.80' y1='177.13' x2='61.80' y2='170.79' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='58.63' y1='188.18' x2='64.97' y2='188.18' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='61.80' y1='191.35' x2='61.80' y2='185.01' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='63.04' y1='206.70' x2='69.38' y2='206.70' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='66.21' y1='209.87' x2='66.21' y2='203.53' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='63.04' y1='193.14' x2='69.38' y2='193.14' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='66.21' y1='196.31' x2='66.21' y2='189.97' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='71.86' y1='232.50' x2='78.20' y2='232.50' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='75.03' y1='235.67' x2='75.03' y2='229.33' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='71.86' y1='239.44' x2='78.20' y2='239.44' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='75.03' y1='242.61' x2='75.03' y2='236.27' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='87.31' y1='280.78' x2='93.65' y2='280.78' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='90.48' y1='283.95' x2='90.48' y2='277.61' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='87.31' y1='285.41' x2='93.65' y2='285.41' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='90.48' y1='288.58' x2='90.48' y2='282.24' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='118.19' y1='356.19' x2='124.53' y2='356.19' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='121.36' y1='359.36' x2='121.36' y2='353.02' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='118.19' y1='350.57' x2='124.53' y2='350.57' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='121.36' y1='353.74' x2='121.36' y2='347.40' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='188.78' y1='422.33' x2='195.12' y2='422.33' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='191.95' y1='425.50' x2='191.95' y2='419.17' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='188.78' y1='437.55' x2='195.12' y2='437.55' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='191.95' y1='440.72' x2='191.95' y2='434.38' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='254.96' y1='474.92' x2='261.30' y2='474.92' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='258.13' y1='478.09' x2='258.13' y2='471.75' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='254.96' y1='466.32' x2='261.30' y2='466.32' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='258.13' y1='469.49' x2='258.13' y2='463.15' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='321.14' y1='478.56' x2='327.48' y2='478.56' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='324.31' y1='481.73' x2='324.31' y2='475.39' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='321.14' y1='470.95' x2='327.48' y2='470.95' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='324.31' y1='474.12' x2='324.31' y2='467.78' style='stroke-width: 0.75; stroke: #2297E6;' />
+<polyline points='59.59,169.72 61.80,180.25 64.99,194.76 66.21,200.06 70.40,217.44 75.03,235.21 75.80,238.01 81.20,256.70 86.60,273.71 90.48,284.97 92.01,289.22 97.41,303.39 102.81,316.35 108.21,328.24 113.62,339.15 119.02,349.20 121.36,353.30 124.42,358.45 129.82,367.00 135.23,374.90 140.63,382.22 146.03,389.01 151.43,395.33 156.84,401.20 162.24,406.68 167.64,411.79 173.04,416.57 178.45,421.05 183.85,425.24 189.25,429.17 191.95,431.05 194.65,432.87 200.06,436.34 205.46,439.62 210.86,442.70 216.26,445.61 221.67,448.35 227.07,450.95 232.47,453.40 237.87,455.72 243.28,457.91 248.68,460.00 254.08,461.97 258.13,463.38 259.48,463.84 264.89,465.61 270.29,467.30 275.69,468.90 281.09,470.42 286.49,471.87 291.90,473.24 297.30,474.55 302.70,475.79 308.10,476.98 313.51,478.10 318.91,479.18 324.31,480.20 ' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<line x1='57.35' y1='162.64' x2='61.83' y2='158.16' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='57.35' y1='158.16' x2='61.83' y2='162.64' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='57.35' y1='175.21' x2='61.83' y2='170.72' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='57.35' y1='170.72' x2='61.83' y2='175.21' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='59.56' y1='190.75' x2='64.04' y2='186.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='59.56' y1='186.27' x2='64.04' y2='190.75' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='59.56' y1='193.40' x2='64.04' y2='188.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='59.56' y1='188.91' x2='64.04' y2='193.40' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='63.97' y1='205.63' x2='68.45' y2='201.15' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='63.97' y1='201.15' x2='68.45' y2='205.63' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='63.97' y1='204.64' x2='68.45' y2='200.16' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='63.97' y1='200.16' x2='68.45' y2='204.64' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='72.79' y1='244.00' x2='77.27' y2='239.52' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='72.79' y1='239.52' x2='77.27' y2='244.00' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='72.79' y1='237.71' x2='77.27' y2='233.23' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='72.79' y1='233.23' x2='77.27' y2='237.71' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='88.23' y1='290.30' x2='92.72' y2='285.82' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='88.23' y1='285.82' x2='92.72' y2='290.30' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='88.23' y1='296.58' x2='92.72' y2='292.10' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='88.23' y1='292.10' x2='92.72' y2='296.58' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='119.12' y1='358.43' x2='123.60' y2='353.95' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='119.12' y1='353.95' x2='123.60' y2='358.43' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='119.12' y1='364.05' x2='123.60' y2='359.57' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='119.12' y1='359.57' x2='123.60' y2='364.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.71' y1='445.08' x2='194.19' y2='440.60' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.71' y1='440.60' x2='194.19' y2='445.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.71' y1='443.76' x2='194.19' y2='439.28' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.71' y1='439.28' x2='194.19' y2='443.76' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='255.89' y1='478.82' x2='260.37' y2='474.33' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='255.89' y1='474.33' x2='260.37' y2='478.82' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='255.89' y1='480.47' x2='260.37' y2='475.99' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='255.89' y1='475.99' x2='260.37' y2='480.47' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='322.07' y1='481.79' x2='326.55' y2='477.31' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='322.07' y1='477.31' x2='326.55' y2='481.79' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='322.07' y1='486.75' x2='326.55' y2='482.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='322.07' y1='482.27' x2='326.55' y2='486.75' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polyline points='59.59,170.67 61.80,181.69 64.99,196.88 66.21,202.43 70.40,220.61 75.03,239.21 75.80,242.13 81.20,261.67 86.60,279.44 90.48,291.19 92.01,295.62 97.41,310.39 102.81,323.88 108.21,336.23 113.62,347.54 119.02,357.93 121.36,362.16 124.42,367.47 129.82,376.26 135.23,384.36 140.63,391.84 146.03,398.75 151.43,405.15 156.84,411.08 162.24,416.59 167.64,421.70 173.04,426.46 178.45,430.89 183.85,435.02 189.25,438.88 191.95,440.71 194.65,442.48 200.06,445.85 205.46,449.00 210.86,451.96 216.26,454.72 221.67,457.32 227.07,459.76 232.47,462.06 237.87,464.21 243.28,466.24 248.68,468.15 254.08,469.94 258.13,471.22 259.48,471.64 264.89,473.23 270.29,474.74 275.69,476.16 281.09,477.50 286.49,478.77 291.90,479.96 297.30,481.10 302.70,482.16 308.10,483.17 313.51,484.13 318.91,485.03 324.31,485.89 ' style='stroke-width: 0.75; stroke: #28E2E5; stroke-dasharray: 7.00,3.00;' />
+<polygon points='56.42,182.56 59.59,179.39 62.76,182.56 59.59,185.73 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='56.42,167.67 59.59,164.50 62.76,167.67 59.59,170.84 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='58.63,196.12 61.80,192.95 64.97,196.12 61.80,199.29 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='58.63,180.24 61.80,177.07 64.97,180.24 61.80,183.41 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='63.04,218.94 66.21,215.77 69.38,218.94 66.21,222.11 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='63.04,213.64 66.21,210.48 69.38,213.64 66.21,216.81 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='71.86,266.89 75.03,263.72 78.20,266.89 75.03,270.06 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='71.86,271.85 75.03,268.68 78.20,271.85 75.03,275.02 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='87.31,298.31 90.48,295.14 93.65,298.31 90.48,301.48 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='87.31,310.55 90.48,307.38 93.65,310.55 90.48,313.72 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='118.19,371.40 121.36,368.23 124.53,371.40 121.36,374.57 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='118.19,357.51 121.36,354.34 124.53,357.51 121.36,360.68 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='188.78,430.93 191.95,427.76 195.12,430.93 191.95,434.10 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='188.78,423.66 191.95,420.49 195.12,423.66 191.95,426.83 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='254.96,450.45 258.13,447.28 261.30,450.45 258.13,453.62 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='254.96,453.09 258.13,449.92 261.30,453.09 258.13,456.26 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='321.14,471.28 324.31,468.11 327.48,471.28 324.31,474.45 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='321.14,476.24 324.31,473.07 327.48,476.24 324.31,479.41 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polyline points='59.59,171.01 61.80,187.53 64.99,208.93 66.21,216.36 70.40,239.38 75.03,260.88 75.80,264.08 81.20,284.35 86.60,301.20 90.48,311.60 92.01,315.39 97.41,327.50 102.81,337.99 108.21,347.18 113.62,355.35 119.02,362.69 121.36,365.65 124.42,369.36 129.82,375.47 135.23,381.12 140.63,386.38 146.03,391.30 151.43,395.93 156.84,400.31 162.24,404.46 167.64,408.40 173.04,412.15 178.45,415.73 183.85,419.16 189.25,422.43 191.95,424.01 194.65,425.57 200.06,428.57 205.46,431.45 210.86,434.21 216.26,436.86 221.67,439.40 227.07,441.84 232.47,444.18 237.87,446.43 243.28,448.59 248.68,450.67 254.08,452.66 258.13,454.11 259.48,454.58 264.89,456.42 270.29,458.18 275.69,459.88 281.09,461.51 286.49,463.07 291.90,464.58 297.30,466.02 302.70,467.41 308.10,468.75 313.51,470.03 318.91,471.26 324.31,472.44 ' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+<polygon points='59.59,177.44 62.61,172.21 56.57,172.21 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='59.59,165.87 62.61,160.64 56.57,160.64 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='61.80,181.41 64.82,176.18 58.78,176.18 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='61.80,187.36 64.82,182.14 58.78,182.14 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='66.21,200.26 69.23,195.04 63.19,195.04 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='66.21,199.27 69.23,194.04 63.19,194.04 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='75.03,235.98 78.05,230.75 72.02,230.75 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='75.03,228.04 78.05,222.82 72.02,222.82 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='90.48,281.62 93.49,276.39 87.46,276.39 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='90.48,281.29 93.49,276.06 87.46,276.06 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='121.36,341.15 124.38,335.93 118.34,335.93 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='121.36,328.59 124.38,323.36 118.34,323.36 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='191.95,405.31 194.97,400.09 188.93,400.09 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='191.95,393.41 194.97,388.18 188.93,388.18 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='258.13,424.50 261.15,419.27 255.11,419.27 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='258.13,423.84 261.15,418.61 255.11,418.61 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='324.31,461.21 327.33,455.98 321.29,455.98 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='324.31,452.94 327.33,447.71 321.29,447.71 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polyline points='59.59,169.97 61.80,180.19 64.99,194.08 66.21,199.09 70.40,215.30 75.03,231.51 75.80,234.03 81.20,250.63 86.60,265.40 90.48,275.00 92.01,278.60 97.41,290.44 102.81,301.12 108.21,310.78 113.62,319.58 119.02,327.61 121.36,330.88 124.42,334.98 129.82,341.77 135.23,348.06 140.63,353.90 146.03,359.35 151.43,364.46 156.84,369.25 162.24,373.78 167.64,378.05 173.04,382.11 178.45,385.96 183.85,389.64 189.25,393.15 191.95,394.85 194.65,396.51 200.06,399.73 205.46,402.82 210.86,405.79 216.26,408.65 221.67,411.40 227.07,414.06 232.47,416.63 237.87,419.10 243.28,421.50 248.68,423.82 254.08,426.06 258.13,427.70 259.48,428.24 264.89,430.34 270.29,432.39 275.69,434.36 281.09,436.28 286.49,438.14 291.90,439.95 297.30,441.70 302.70,443.40 308.10,445.05 313.51,446.66 318.91,448.21 324.31,449.72 ' style='stroke-width: 0.75; stroke: #F5C710;' />
+<rect x='57.35' y='174.69' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='57.35' y1='179.17' x2='61.83' y2='174.69' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='57.35' y1='174.69' x2='61.83' y2='179.17' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='57.35' y='160.14' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='57.35' y1='164.62' x2='61.83' y2='160.14' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='57.35' y1='160.14' x2='61.83' y2='164.62' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='59.56' y='192.22' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='59.56' y1='196.70' x2='64.04' y2='192.22' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='59.56' y1='192.22' x2='64.04' y2='196.70' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='59.56' y='184.61' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='59.56' y1='189.10' x2='64.04' y2='184.61' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='59.56' y1='184.61' x2='64.04' y2='189.10' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='63.97' y='219.01' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='63.97' y1='223.49' x2='68.45' y2='219.01' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='63.97' y1='219.01' x2='68.45' y2='223.49' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='63.97' y='221.66' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='63.97' y1='226.14' x2='68.45' y2='221.66' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='63.97' y1='221.66' x2='68.45' y2='226.14' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='72.79' y='271.93' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='72.79' y1='276.41' x2='77.27' y2='271.93' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='72.79' y1='271.93' x2='77.27' y2='276.41' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='72.79' y='272.92' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='72.79' y1='277.40' x2='77.27' y2='272.92' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='72.79' y1='272.92' x2='77.27' y2='277.40' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='88.23' y='338.40' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='88.23' y1='342.89' x2='92.72' y2='338.40' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='88.23' y1='338.40' x2='92.72' y2='342.89' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='88.23' y='325.51' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='88.23' y1='329.99' x2='92.72' y2='325.51' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='88.23' y1='325.51' x2='92.72' y2='329.99' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='119.12' y='400.91' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='119.12' y1='405.39' x2='123.60' y2='400.91' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='119.12' y1='400.91' x2='123.60' y2='405.39' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='119.12' y='399.26' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='119.12' y1='403.74' x2='123.60' y2='399.26' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='119.12' y1='399.26' x2='123.60' y2='403.74' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='189.71' y='447.21' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='189.71' y1='451.70' x2='194.19' y2='447.21' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='189.71' y1='447.21' x2='194.19' y2='451.70' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='189.71' y='465.73' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='189.71' y1='470.22' x2='194.19' y2='465.73' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='189.71' y1='465.73' x2='194.19' y2='470.22' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='255.89' y='491.86' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='255.89' y1='496.34' x2='260.37' y2='491.86' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='255.89' y1='491.86' x2='260.37' y2='496.34' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='255.89' y='490.21' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='255.89' y1='494.69' x2='260.37' y2='490.21' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='255.89' y1='490.21' x2='260.37' y2='494.69' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='322.07' y='491.86' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='322.07' y1='496.34' x2='326.55' y2='491.86' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='322.07' y1='491.86' x2='326.55' y2='496.34' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='322.07' y='482.93' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='322.07' y1='487.41' x2='326.55' y2='482.93' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='322.07' y1='482.93' x2='326.55' y2='487.41' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<polyline points='59.59,170.56 61.80,189.00 64.99,213.21 66.21,221.71 70.40,248.34 75.03,273.68 75.80,277.50 81.20,301.88 86.60,322.44 90.48,335.25 92.01,339.93 97.41,354.93 102.81,367.91 108.21,379.23 113.62,389.19 119.02,398.01 121.36,401.52 124.42,405.87 129.82,412.94 135.23,419.32 140.63,425.11 146.03,430.40 151.43,435.24 156.84,439.68 162.24,443.78 167.64,447.57 173.04,451.08 178.45,454.34 183.85,457.37 189.25,460.19 191.95,461.53 194.65,462.82 200.06,465.27 205.46,467.56 210.86,469.70 216.26,471.69 221.67,473.56 227.07,475.31 232.47,476.95 237.87,478.49 243.28,479.92 248.68,481.27 254.08,482.53 258.13,483.42 259.48,483.71 264.89,484.81 270.29,485.85 275.69,486.82 281.09,487.73 286.49,488.58 291.90,489.38 297.30,490.13 302.70,490.84 308.10,491.50 313.51,492.11 318.91,492.69 324.31,493.23 ' style='stroke-width: 0.75; stroke: #9E9E9E; stroke-dasharray: 4.00,4.00;' />
+<line x1='57.35' y1='173.55' x2='61.83' y2='169.07' style='stroke-width: 0.75;' />
+<line x1='57.35' y1='169.07' x2='61.83' y2='173.55' style='stroke-width: 0.75;' />
+<line x1='56.42' y1='171.31' x2='62.76' y2='171.31' style='stroke-width: 0.75;' />
+<line x1='59.59' y1='174.48' x2='59.59' y2='168.14' style='stroke-width: 0.75;' />
+<line x1='57.35' y1='170.58' x2='61.83' y2='166.09' style='stroke-width: 0.75;' />
+<line x1='57.35' y1='166.09' x2='61.83' y2='170.58' style='stroke-width: 0.75;' />
+<line x1='56.42' y1='168.33' x2='62.76' y2='168.33' style='stroke-width: 0.75;' />
+<line x1='59.59' y1='171.50' x2='59.59' y2='165.17' style='stroke-width: 0.75;' />
+<line x1='59.56' y1='200.67' x2='64.04' y2='196.19' style='stroke-width: 0.75;' />
+<line x1='59.56' y1='196.19' x2='64.04' y2='200.67' style='stroke-width: 0.75;' />
+<line x1='58.63' y1='198.43' x2='64.97' y2='198.43' style='stroke-width: 0.75;' />
+<line x1='61.80' y1='201.60' x2='61.80' y2='195.26' style='stroke-width: 0.75;' />
+<line x1='59.56' y1='192.07' x2='64.04' y2='187.59' style='stroke-width: 0.75;' />
+<line x1='59.56' y1='187.59' x2='64.04' y2='192.07' style='stroke-width: 0.75;' />
+<line x1='58.63' y1='189.83' x2='64.97' y2='189.83' style='stroke-width: 0.75;' />
+<line x1='61.80' y1='193.00' x2='61.80' y2='186.66' style='stroke-width: 0.75;' />
+<line x1='63.97' y1='230.11' x2='68.45' y2='225.63' style='stroke-width: 0.75;' />
+<line x1='63.97' y1='225.63' x2='68.45' y2='230.11' style='stroke-width: 0.75;' />
+<line x1='63.04' y1='227.87' x2='69.38' y2='227.87' style='stroke-width: 0.75;' />
+<line x1='66.21' y1='231.04' x2='66.21' y2='224.70' style='stroke-width: 0.75;' />
+<line x1='63.97' y1='237.05' x2='68.45' y2='232.57' style='stroke-width: 0.75;' />
+<line x1='63.97' y1='232.57' x2='68.45' y2='237.05' style='stroke-width: 0.75;' />
+<line x1='63.04' y1='234.81' x2='69.38' y2='234.81' style='stroke-width: 0.75;' />
+<line x1='66.21' y1='237.98' x2='66.21' y2='231.64' style='stroke-width: 0.75;' />
+<line x1='72.79' y1='277.73' x2='77.27' y2='273.25' style='stroke-width: 0.75;' />
+<line x1='72.79' y1='273.25' x2='77.27' y2='277.73' style='stroke-width: 0.75;' />
+<line x1='71.86' y1='275.49' x2='78.20' y2='275.49' style='stroke-width: 0.75;' />
+<line x1='75.03' y1='278.66' x2='75.03' y2='272.32' style='stroke-width: 0.75;' />
+<line x1='72.79' y1='279.72' x2='77.27' y2='275.23' style='stroke-width: 0.75;' />
+<line x1='72.79' y1='275.23' x2='77.27' y2='279.72' style='stroke-width: 0.75;' />
+<line x1='71.86' y1='277.48' x2='78.20' y2='277.48' style='stroke-width: 0.75;' />
+<line x1='75.03' y1='280.64' x2='75.03' y2='274.31' style='stroke-width: 0.75;' />
+<line x1='88.23' y1='346.85' x2='92.72' y2='342.37' style='stroke-width: 0.75;' />
+<line x1='88.23' y1='342.37' x2='92.72' y2='346.85' style='stroke-width: 0.75;' />
+<line x1='87.31' y1='344.61' x2='93.65' y2='344.61' style='stroke-width: 0.75;' />
+<line x1='90.48' y1='347.78' x2='90.48' y2='341.44' style='stroke-width: 0.75;' />
+<line x1='88.23' y1='330.98' x2='92.72' y2='326.50' style='stroke-width: 0.75;' />
+<line x1='88.23' y1='326.50' x2='92.72' y2='330.98' style='stroke-width: 0.75;' />
+<line x1='87.31' y1='328.74' x2='93.65' y2='328.74' style='stroke-width: 0.75;' />
+<line x1='90.48' y1='331.91' x2='90.48' y2='325.57' style='stroke-width: 0.75;' />
+<line x1='119.12' y1='386.87' x2='123.60' y2='382.39' style='stroke-width: 0.75;' />
+<line x1='119.12' y1='382.39' x2='123.60' y2='386.87' style='stroke-width: 0.75;' />
+<line x1='118.19' y1='384.63' x2='124.53' y2='384.63' style='stroke-width: 0.75;' />
+<line x1='121.36' y1='387.80' x2='121.36' y2='381.46' style='stroke-width: 0.75;' />
+<line x1='119.12' y1='373.31' x2='123.60' y2='368.83' style='stroke-width: 0.75;' />
+<line x1='119.12' y1='368.83' x2='123.60' y2='373.31' style='stroke-width: 0.75;' />
+<line x1='118.19' y1='371.07' x2='124.53' y2='371.07' style='stroke-width: 0.75;' />
+<line x1='121.36' y1='374.24' x2='121.36' y2='367.90' style='stroke-width: 0.75;' />
+<line x1='189.71' y1='432.51' x2='194.19' y2='428.03' style='stroke-width: 0.75;' />
+<line x1='189.71' y1='428.03' x2='194.19' y2='432.51' style='stroke-width: 0.75;' />
+<line x1='188.78' y1='430.27' x2='195.12' y2='430.27' style='stroke-width: 0.75;' />
+<line x1='191.95' y1='433.44' x2='191.95' y2='427.10' style='stroke-width: 0.75;' />
+<line x1='189.71' y1='439.13' x2='194.19' y2='434.65' style='stroke-width: 0.75;' />
+<line x1='189.71' y1='434.65' x2='194.19' y2='439.13' style='stroke-width: 0.75;' />
+<line x1='188.78' y1='436.89' x2='195.12' y2='436.89' style='stroke-width: 0.75;' />
+<line x1='191.95' y1='440.06' x2='191.95' y2='433.72' style='stroke-width: 0.75;' />
+<line x1='255.89' y1='446.40' x2='260.37' y2='441.92' style='stroke-width: 0.75;' />
+<line x1='255.89' y1='441.92' x2='260.37' y2='446.40' style='stroke-width: 0.75;' />
+<line x1='254.96' y1='444.16' x2='261.30' y2='444.16' style='stroke-width: 0.75;' />
+<line x1='258.13' y1='447.33' x2='258.13' y2='440.99' style='stroke-width: 0.75;' />
+<line x1='255.89' y1='458.64' x2='260.37' y2='454.16' style='stroke-width: 0.75;' />
+<line x1='255.89' y1='454.16' x2='260.37' y2='458.64' style='stroke-width: 0.75;' />
+<line x1='254.96' y1='456.40' x2='261.30' y2='456.40' style='stroke-width: 0.75;' />
+<line x1='258.13' y1='459.57' x2='258.13' y2='453.23' style='stroke-width: 0.75;' />
+<line x1='322.07' y1='477.82' x2='326.55' y2='473.34' style='stroke-width: 0.75;' />
+<line x1='322.07' y1='473.34' x2='326.55' y2='477.82' style='stroke-width: 0.75;' />
+<line x1='321.14' y1='475.58' x2='327.48' y2='475.58' style='stroke-width: 0.75;' />
+<line x1='324.31' y1='478.75' x2='324.31' y2='472.41' style='stroke-width: 0.75;' />
+<line x1='322.07' y1='468.56' x2='326.55' y2='464.08' style='stroke-width: 0.75;' />
+<line x1='322.07' y1='464.08' x2='326.55' y2='468.56' style='stroke-width: 0.75;' />
+<line x1='321.14' y1='466.32' x2='327.48' y2='466.32' style='stroke-width: 0.75;' />
+<line x1='324.31' y1='469.49' x2='324.31' y2='463.15' style='stroke-width: 0.75;' />
+<polyline points='59.59,170.63 61.80,192.22 64.99,219.30 66.21,228.45 70.40,255.92 75.03,280.29 75.80,283.81 81.20,305.38 86.60,322.33 90.48,332.35 92.01,335.91 97.41,347.02 102.81,356.30 108.21,364.21 113.62,371.10 119.02,377.21 121.36,379.66 124.42,382.72 129.82,387.75 135.23,392.40 140.63,396.73 146.03,400.81 151.43,404.67 156.84,408.33 162.24,411.82 167.64,415.15 173.04,418.35 178.45,421.41 183.85,424.35 189.25,427.18 191.95,428.55 194.65,429.90 200.06,432.51 205.46,435.03 210.86,437.45 216.26,439.79 221.67,442.04 227.07,444.20 232.47,446.29 237.87,448.30 243.28,450.23 248.68,452.10 254.08,453.89 258.13,455.20 259.48,455.63 264.89,457.29 270.29,458.90 275.69,460.45 281.09,461.94 286.49,463.38 291.90,464.77 297.30,466.10 302.70,467.39 308.10,468.63 313.51,469.82 318.91,470.97 324.31,472.08 ' style='stroke-width: 0.75; stroke-dasharray: 1.00,3.00;' />
+<line x1='56.42' y1='163.04' x2='62.76' y2='163.04' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='59.59' y1='166.21' x2='59.59' y2='159.87' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='56.42,163.04 59.59,159.87 62.76,163.04 59.59,166.21 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='56.42' y1='175.94' x2='62.76' y2='175.94' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='59.59' y1='179.11' x2='59.59' y2='172.77' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='56.42,175.94 59.59,172.77 62.76,175.94 59.59,179.11 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='58.63' y1='181.23' x2='64.97' y2='181.23' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='61.80' y1='184.40' x2='61.80' y2='178.06' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='58.63,181.23 61.80,178.06 64.97,181.23 61.80,184.40 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='58.63' y1='199.42' x2='64.97' y2='199.42' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='61.80' y1='202.59' x2='61.80' y2='196.25' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='58.63,199.42 61.80,196.25 64.97,199.42 61.80,202.59 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='63.04' y1='216.62' x2='69.38' y2='216.62' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='66.21' y1='219.79' x2='66.21' y2='213.45' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='63.04,216.62 66.21,213.45 69.38,216.62 66.21,219.79 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='63.04' y1='211.66' x2='69.38' y2='211.66' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='66.21' y1='214.83' x2='66.21' y2='208.49' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='63.04,211.66 66.21,208.49 69.38,211.66 66.21,214.83 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='71.86' y1='257.96' x2='78.20' y2='257.96' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='75.03' y1='261.13' x2='75.03' y2='254.79' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='71.86,257.96 75.03,254.79 78.20,257.96 75.03,261.13 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='71.86' y1='253.33' x2='78.20' y2='253.33' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='75.03' y1='256.50' x2='75.03' y2='250.16' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='71.86,253.33 75.03,250.16 78.20,253.33 75.03,256.50 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='87.31' y1='318.16' x2='93.65' y2='318.16' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='90.48' y1='321.32' x2='90.48' y2='314.99' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='87.31,318.16 90.48,314.99 93.65,318.16 90.48,321.32 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='87.31' y1='314.52' x2='93.65' y2='314.52' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='90.48' y1='317.69' x2='90.48' y2='311.35' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='87.31,314.52 90.48,311.35 93.65,314.52 90.48,317.69 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='118.19' y1='377.02' x2='124.53' y2='377.02' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='121.36' y1='380.19' x2='121.36' y2='373.86' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='118.19,377.02 121.36,373.86 124.53,377.02 121.36,380.19 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='118.19' y1='367.43' x2='124.53' y2='367.43' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='121.36' y1='370.60' x2='121.36' y2='364.26' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='118.19,367.43 121.36,364.26 124.53,367.43 121.36,370.60 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='188.78' y1='438.54' x2='195.12' y2='438.54' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='191.95' y1='441.71' x2='191.95' y2='435.37' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='188.78,438.54 191.95,435.37 195.12,438.54 191.95,441.71 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='188.78' y1='423.66' x2='195.12' y2='423.66' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='191.95' y1='426.83' x2='191.95' y2='420.49' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='188.78,423.66 191.95,420.49 195.12,423.66 191.95,426.83 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='254.96' y1='454.08' x2='261.30' y2='454.08' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='258.13' y1='457.25' x2='258.13' y2='450.92' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='254.96,454.08 258.13,450.92 261.30,454.08 258.13,457.25 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='254.96' y1='454.42' x2='261.30' y2='454.42' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='258.13' y1='457.58' x2='258.13' y2='451.25' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='254.96,454.42 258.13,451.25 261.30,454.42 258.13,457.58 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='321.14' y1='477.90' x2='327.48' y2='477.90' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='324.31' y1='481.07' x2='324.31' y2='474.73' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='321.14,477.90 324.31,474.73 327.48,477.90 324.31,481.07 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='321.14' y1='474.92' x2='327.48' y2='474.92' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='324.31' y1='478.09' x2='324.31' y2='471.75' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='321.14,474.92 324.31,471.75 327.48,474.92 324.31,478.09 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<polyline points='59.59,170.55 61.80,186.36 64.99,207.17 66.21,214.49 70.40,237.47 75.03,259.39 75.80,262.70 81.20,283.87 86.60,301.77 90.48,312.94 92.01,317.03 97.41,330.17 102.81,341.57 108.21,351.56 113.62,360.40 119.02,368.28 121.36,371.44 124.42,375.37 129.82,381.80 135.23,387.68 140.63,393.08 146.03,398.09 151.43,402.74 156.84,407.09 162.24,411.18 167.64,415.03 173.04,418.67 178.45,422.12 183.85,425.39 189.25,428.51 191.95,430.01 194.65,431.47 200.06,434.31 205.46,437.01 210.86,439.60 216.26,442.08 221.67,444.45 227.07,446.72 232.47,448.90 237.87,450.98 243.28,452.99 248.68,454.91 254.08,456.75 258.13,458.08 259.48,458.52 264.89,460.22 270.29,461.85 275.69,463.41 281.09,464.91 286.49,466.36 291.90,467.74 297.30,469.07 302.70,470.35 308.10,471.58 313.51,472.75 318.91,473.88 324.31,474.97 ' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<circle cx='59.59' cy='169.66' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='57.35' y1='169.66' x2='61.83' y2='169.66' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='59.59' y1='171.90' x2='59.59' y2='167.42' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='59.59' cy='186.86' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='57.35' y1='186.86' x2='61.83' y2='186.86' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='59.59' y1='189.10' x2='59.59' y2='184.61' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='61.80' cy='182.23' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='59.56' y1='182.23' x2='64.04' y2='182.23' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='61.80' y1='184.47' x2='61.80' y2='179.98' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='61.80' cy='188.51' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='59.56' y1='188.51' x2='64.04' y2='188.51' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='61.80' y1='190.75' x2='61.80' y2='186.27' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='66.21' cy='210.34' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='63.97' y1='210.34' x2='68.45' y2='210.34' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='66.21' y1='212.58' x2='66.21' y2='208.10' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='66.21' cy='193.80' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='63.97' y1='193.80' x2='68.45' y2='193.80' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='66.21' y1='196.04' x2='66.21' y2='191.56' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='75.03' cy='240.43' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='72.79' y1='240.43' x2='77.27' y2='240.43' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='75.03' y1='242.67' x2='75.03' y2='238.19' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='75.03' cy='231.83' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='72.79' y1='231.83' x2='77.27' y2='231.83' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='75.03' y1='234.08' x2='75.03' y2='229.59' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='90.48' cy='284.75' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='88.23' y1='284.75' x2='92.72' y2='284.75' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='90.48' y1='286.99' x2='90.48' y2='282.51' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='90.48' cy='262.26' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='88.23' y1='262.26' x2='92.72' y2='262.26' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='90.48' y1='264.50' x2='90.48' y2='260.02' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='121.36' cy='332.38' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='119.12' y1='332.38' x2='123.60' y2='332.38' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='121.36' y1='334.62' x2='121.36' y2='330.14' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='121.36' cy='340.98' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='119.12' y1='340.98' x2='123.60' y2='340.98' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='121.36' y1='343.22' x2='121.36' y2='338.73' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='191.95' cy='409.44' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='189.71' y1='409.44' x2='194.19' y2='409.44' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='191.95' y1='411.68' x2='191.95' y2='407.20' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='191.95' cy='419.36' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='189.71' y1='419.36' x2='194.19' y2='419.36' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='191.95' y1='421.60' x2='191.95' y2='417.12' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='258.13' cy='451.77' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='255.89' y1='451.77' x2='260.37' y2='451.77' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='258.13' y1='454.01' x2='258.13' y2='449.53' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='258.13' cy='455.74' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='255.89' y1='455.74' x2='260.37' y2='455.74' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='258.13' y1='457.98' x2='258.13' y2='453.50' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='324.31' cy='460.04' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='322.07' y1='460.04' x2='326.55' y2='460.04' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='324.31' y1='462.28' x2='324.31' y2='457.80' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='324.31' cy='469.30' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='322.07' y1='469.30' x2='326.55' y2='469.30' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='324.31' y1='471.54' x2='324.31' y2='467.06' style='stroke-width: 0.75; stroke: #61D04F;' />
+<polyline points='59.59,171.63 61.80,181.26 64.99,194.54 66.21,199.38 70.40,215.26 75.03,231.50 75.80,234.06 81.20,251.13 86.60,266.68 90.48,276.98 92.01,280.87 97.41,293.85 102.81,305.75 108.21,316.69 113.62,326.76 119.02,336.05 121.36,339.85 124.42,344.64 129.82,352.61 135.23,360.02 140.63,366.91 146.03,373.34 151.43,379.35 156.84,384.98 162.24,390.26 167.64,395.23 173.04,399.90 178.45,404.31 183.85,408.48 189.25,412.41 191.95,414.30 194.65,416.14 200.06,419.68 205.46,423.04 210.86,426.23 216.26,429.27 221.67,432.16 227.07,434.91 232.47,437.55 237.87,440.06 243.28,442.46 248.68,444.75 254.08,446.95 258.13,448.53 259.48,449.05 264.89,451.06 270.29,452.99 275.69,454.84 281.09,456.61 286.49,458.31 291.90,459.94 297.30,461.51 302.70,463.01 308.10,464.46 313.51,465.84 318.91,467.18 324.31,468.46 ' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 7.00,3.00;' />
+<polygon points='59.59,178.43 62.61,172.34 56.57,172.34 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='59.59,171.46 62.61,177.56 56.57,177.56 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='59.59,174.47 62.61,168.37 56.57,168.37 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='59.59,167.50 62.61,173.59 56.57,173.59 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='61.80,174.14 64.82,168.04 58.78,168.04 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='61.80,167.17 64.82,173.26 58.78,173.26 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='61.80,179.76 64.82,173.66 58.78,173.66 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='61.80,172.79 64.82,178.89 58.78,178.89 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.21,193.32 69.23,187.22 63.19,187.22 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.21,186.35 69.23,192.45 63.19,192.45 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.21,188.36 69.23,182.26 63.19,182.26 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.21,181.39 69.23,187.49 63.19,187.49 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='75.03,232.01 78.05,225.91 72.02,225.91 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='75.03,225.04 78.05,231.14 72.02,231.14 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='75.03,226.72 78.05,220.62 72.02,220.62 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='75.03,219.75 78.05,225.85 72.02,225.85 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='90.48,266.08 93.49,259.98 87.46,259.98 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='90.48,259.11 93.49,265.21 87.46,265.21 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='90.48,257.15 93.49,251.05 87.46,251.05 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='90.48,250.18 93.49,256.28 87.46,256.28 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='121.36,330.57 124.38,324.47 118.34,324.47 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='121.36,323.60 124.38,329.70 118.34,329.70 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='121.36,322.63 124.38,316.53 118.34,316.53 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='121.36,315.66 124.38,321.76 118.34,321.76 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='191.95,389.11 194.97,383.01 188.93,383.01 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='191.95,382.14 194.97,388.24 188.93,388.24 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='191.95,395.06 194.97,388.96 188.93,388.96 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='191.95,388.09 194.97,394.19 188.93,394.19 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='258.13,437.40 261.15,431.30 255.11,431.30 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='258.13,430.43 261.15,436.52 255.11,436.52 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='258.13,433.43 261.15,427.33 255.11,427.33 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='258.13,426.46 261.15,432.56 255.11,432.56 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='324.31,456.25 327.33,450.15 321.29,450.15 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='324.31,449.28 327.33,455.38 321.29,455.38 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='324.31,458.56 327.33,452.46 321.29,452.46 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='324.31,451.59 327.33,457.69 321.29,457.69 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polyline points='59.59,169.92 61.80,178.05 64.99,189.33 66.21,193.47 70.40,207.12 75.03,221.21 75.80,223.44 81.20,238.45 86.60,252.28 90.48,261.52 92.01,265.04 97.41,276.83 102.81,287.76 108.21,297.89 113.62,307.32 119.02,316.09 121.36,319.71 124.42,324.28 129.82,331.94 135.23,339.11 140.63,345.83 146.03,352.16 151.43,358.11 156.84,363.72 162.24,369.02 167.64,374.03 173.04,378.78 178.45,383.29 183.85,387.57 189.25,391.64 191.95,393.60 194.65,395.52 200.06,399.22 205.46,402.75 210.86,406.13 216.26,409.35 221.67,412.45 227.07,415.41 232.47,418.26 237.87,420.99 243.28,423.61 248.68,426.13 254.08,428.56 258.13,430.32 259.48,430.90 264.89,433.15 270.29,435.32 275.69,437.41 281.09,439.42 286.49,441.37 291.90,443.25 297.30,445.07 302.70,446.82 308.10,448.51 313.51,450.15 318.91,451.74 324.31,453.27 ' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+<line x1='57.35' y1='172.30' x2='61.83' y2='172.30' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='59.59' y1='174.54' x2='59.59' y2='170.06' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='57.35' y='170.06' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='57.35' y1='173.30' x2='61.83' y2='173.30' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='59.59' y1='175.54' x2='59.59' y2='171.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='57.35' y='171.05' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='59.56' y1='187.19' x2='64.04' y2='187.19' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='61.80' y1='189.43' x2='61.80' y2='184.95' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='59.56' y='184.95' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='59.56' y1='180.24' x2='64.04' y2='180.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='61.80' y1='182.48' x2='61.80' y2='178.00' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='59.56' y='178.00' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='63.97' y1='192.48' x2='68.45' y2='192.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='66.21' y1='194.72' x2='66.21' y2='190.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='63.97' y='190.24' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='63.97' y1='192.15' x2='68.45' y2='192.15' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='66.21' y1='194.39' x2='66.21' y2='189.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='63.97' y='189.91' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='72.79' y1='215.63' x2='77.27' y2='215.63' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='75.03' y1='217.87' x2='75.03' y2='213.39' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='72.79' y='213.39' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='72.79' y1='222.91' x2='77.27' y2='222.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='75.03' y1='225.15' x2='75.03' y2='220.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='72.79' y='220.66' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='88.23' y1='282.11' x2='92.72' y2='282.11' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='90.48' y1='284.35' x2='90.48' y2='279.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='88.23' y='279.86' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='88.23' y1='270.53' x2='92.72' y2='270.53' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='90.48' y1='272.77' x2='90.48' y2='268.29' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='88.23' y='268.29' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='119.12' y1='338.00' x2='123.60' y2='338.00' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='121.36' y1='340.24' x2='121.36' y2='335.76' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='119.12' y='335.76' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='119.12' y1='331.38' x2='123.60' y2='331.38' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='121.36' y1='333.63' x2='121.36' y2='329.14' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='119.12' y='329.14' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.71' y1='431.26' x2='194.19' y2='431.26' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='191.95' y1='433.51' x2='191.95' y2='429.02' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='189.71' y='429.02' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.71' y1='415.72' x2='194.19' y2='415.72' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='191.95' y1='417.96' x2='191.95' y2='413.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='189.71' y='413.48' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='255.89' y1='453.42' x2='260.37' y2='453.42' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='258.13' y1='455.66' x2='258.13' y2='451.18' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='255.89' y='451.18' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='255.89' y1='452.43' x2='260.37' y2='452.43' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='258.13' y1='454.67' x2='258.13' y2='450.19' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='255.89' y='450.19' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='322.07' y1='466.32' x2='326.55' y2='466.32' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='324.31' y1='468.56' x2='324.31' y2='464.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='322.07' y='464.08' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='322.07' y1='473.27' x2='326.55' y2='473.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='324.31' y1='475.51' x2='324.31' y2='471.03' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='322.07' y='471.03' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polyline points='59.59,170.34 61.80,179.27 64.99,191.68 66.21,196.24 70.40,211.33 75.03,226.97 75.80,229.44 81.20,246.16 86.60,261.60 90.48,271.95 92.01,275.89 97.41,289.12 102.81,301.38 108.21,312.76 113.62,323.34 119.02,333.18 121.36,337.24 124.42,342.35 129.82,350.90 135.23,358.88 140.63,366.34 146.03,373.31 151.43,379.85 156.84,385.98 162.24,391.73 167.64,397.13 173.04,402.22 178.45,407.00 183.85,411.51 189.25,415.76 191.95,417.80 194.65,419.78 200.06,423.57 205.46,427.16 210.86,430.55 216.26,433.76 221.67,436.81 227.07,439.70 232.47,442.44 237.87,445.04 243.28,447.52 248.68,449.87 254.08,452.11 258.13,453.71 259.48,454.24 264.89,456.26 270.29,458.20 275.69,460.04 281.09,461.79 286.49,463.47 291.90,465.07 297.30,466.59 302.70,468.05 308.10,469.44 313.51,470.77 318.91,472.04 324.31,473.26 ' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<circle cx='59.59' cy='167.67' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='57.35' y1='169.91' x2='61.83' y2='165.43' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='57.35' y1='165.43' x2='61.83' y2='169.91' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='59.59' cy='173.63' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='57.35' y1='175.87' x2='61.83' y2='171.39' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='57.35' y1='171.39' x2='61.83' y2='175.87' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='61.80' cy='178.26' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='59.56' y1='180.50' x2='64.04' y2='176.02' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='59.56' y1='176.02' x2='64.04' y2='180.50' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='61.80' cy='172.63' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='59.56' y1='174.88' x2='64.04' y2='170.39' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='59.56' y1='170.39' x2='64.04' y2='174.88' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='66.21' cy='193.47' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='63.97' y1='195.71' x2='68.45' y2='191.23' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='63.97' y1='191.23' x2='68.45' y2='195.71' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='66.21' cy='204.05' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='63.97' y1='206.29' x2='68.45' y2='201.81' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='63.97' y1='201.81' x2='68.45' y2='206.29' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='75.03' cy='252.01' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='72.79' y1='254.25' x2='77.27' y2='249.77' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='72.79' y1='249.77' x2='77.27' y2='254.25' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='75.03' cy='240.43' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='72.79' y1='242.67' x2='77.27' y2='238.19' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='72.79' y1='238.19' x2='77.27' y2='242.67' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='90.48' cy='291.04' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='88.23' y1='293.28' x2='92.72' y2='288.79' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='88.23' y1='288.79' x2='92.72' y2='293.28' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='90.48' cy='291.70' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='88.23' y1='293.94' x2='92.72' y2='289.46' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='88.23' y1='289.46' x2='92.72' y2='293.94' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='121.36' cy='363.80' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='119.12' y1='366.04' x2='123.60' y2='361.55' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='119.12' y1='361.55' x2='123.60' y2='366.04' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='121.36' cy='366.44' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='119.12' y1='368.68' x2='123.60' y2='364.20' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='119.12' y1='364.20' x2='123.60' y2='368.68' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='191.95' cy='437.55' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='189.71' y1='439.79' x2='194.19' y2='435.31' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='189.71' y1='435.31' x2='194.19' y2='439.79' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='191.95' cy='426.30' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='189.71' y1='428.54' x2='194.19' y2='424.06' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='189.71' y1='424.06' x2='194.19' y2='428.54' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='258.13' cy='454.75' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='255.89' y1='456.99' x2='260.37' y2='452.51' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='255.89' y1='452.51' x2='260.37' y2='456.99' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='258.13' cy='469.30' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='255.89' y1='471.54' x2='260.37' y2='467.06' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='255.89' y1='467.06' x2='260.37' y2='471.54' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='324.31' cy='474.26' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='322.07' y1='476.50' x2='326.55' y2='472.02' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='322.07' y1='472.02' x2='326.55' y2='476.50' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='324.31' cy='484.18' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='322.07' y1='486.42' x2='326.55' y2='481.94' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='322.07' y1='481.94' x2='326.55' y2='486.42' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<polyline points='59.59,169.71 61.80,181.72 64.99,198.08 66.21,203.99 70.40,223.16 75.03,242.41 75.80,245.41 81.20,265.20 86.60,282.86 90.48,294.36 92.01,298.66 97.41,312.86 102.81,325.64 108.21,337.20 113.62,347.69 119.02,357.22 121.36,361.09 124.42,365.93 129.82,373.90 135.23,381.22 140.63,387.97 146.03,394.20 151.43,399.97 156.84,405.32 162.24,410.31 167.64,414.96 173.04,419.32 178.45,423.39 183.85,427.22 189.25,430.82 191.95,432.53 194.65,434.20 200.06,437.40 205.46,440.42 210.86,443.27 216.26,445.97 221.67,448.53 227.07,450.96 232.47,453.26 237.87,455.45 243.28,457.53 248.68,459.51 254.08,461.39 258.13,462.74 259.48,463.18 264.89,464.89 270.29,466.52 275.69,468.07 281.09,469.55 286.49,470.96 291.90,472.31 297.30,473.59 302.70,474.82 308.10,475.99 313.51,477.11 318.91,478.18 324.31,479.20 ' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 4.00,4.00;' />
+<polygon points='59.59,169.40 61.83,173.88 57.35,173.88 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='57.35' y='169.40' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='59.59,170.39 61.83,174.88 57.35,174.88 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='57.35' y='170.39' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='61.80,187.26 64.04,191.74 59.56,191.74 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='59.56' y='187.26' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='61.80,177.01 64.04,181.49 59.56,181.49 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='59.56' y='177.01' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='66.21,210.41 68.45,214.89 63.97,214.89 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='63.97' y='210.41' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='66.21,209.42 68.45,213.90 63.97,213.90 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='63.97' y='209.42' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='75.03,245.47 77.27,249.95 72.79,249.95 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='72.79' y='245.47' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='75.03,248.45 77.27,252.93 72.79,252.93 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='72.79' y='248.45' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='90.48,297.72 92.72,302.21 88.23,302.21 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='88.23' y='297.72' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='90.48,304.34 92.72,308.82 88.23,308.82 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='88.23' y='304.34' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='121.36,364.20 123.60,368.68 119.12,368.68 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='119.12' y='364.20' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='121.36,359.24 123.60,363.72 119.12,363.72 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='119.12' y='359.24' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='191.95,438.61 194.19,443.10 189.71,443.10 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='189.71' y='438.61' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='191.95,435.64 194.19,440.12 189.71,440.12 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='189.71' y='435.64' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='258.13,464.08 260.37,468.56 255.89,468.56 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='255.89' y='464.08' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='258.13,462.43 260.37,466.91 255.89,466.91 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='255.89' y='462.43' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='324.31,477.64 326.55,482.12 322.07,482.12 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='322.07' y='477.64' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='324.31,483.26 326.55,487.75 322.07,487.75 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='322.07' y='483.26' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polyline points='59.59,170.80 61.80,184.03 64.99,201.86 66.21,208.25 70.40,228.80 75.03,249.14 75.80,252.28 81.20,272.83 86.60,290.90 90.48,302.54 92.01,306.86 97.41,321.03 102.81,333.67 108.21,344.99 113.62,355.19 119.02,364.41 121.36,368.13 124.42,372.78 129.82,380.43 135.23,387.43 140.63,393.87 146.03,399.81 151.43,405.32 156.84,410.43 162.24,415.19 167.64,419.64 173.04,423.80 178.45,427.70 183.85,431.37 189.25,434.83 191.95,436.48 194.65,438.09 200.06,441.17 205.46,444.08 210.86,446.83 216.26,449.44 221.67,451.91 227.07,454.26 232.47,456.48 237.87,458.60 243.28,460.61 248.68,462.53 254.08,464.34 258.13,465.65 259.48,466.08 264.89,467.72 270.29,469.29 275.69,470.79 281.09,472.21 286.49,473.57 291.90,474.86 297.30,476.09 302.70,477.26 308.10,478.38 313.51,479.45 318.91,480.46 324.31,481.43 ' style='stroke-width: 0.75; stroke: #F5C710; stroke-dasharray: 1.00,3.00;' />
+<polygon points='57.35,171.90 61.83,171.90 61.83,167.42 57.35,167.42 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='57.35,169.58 61.83,169.58 61.83,165.10 57.35,165.10 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='59.56,201.66 64.04,201.66 64.04,197.18 59.56,197.18 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='59.56,182.48 64.04,182.48 64.04,178.00 59.56,178.00 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='63.97,205.63 68.45,205.63 68.45,201.15 63.97,201.15 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='63.97,214.23 68.45,214.23 68.45,209.75 63.97,209.75 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='72.79,257.89 77.27,257.89 77.27,253.41 72.79,253.41 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='72.79,244.99 77.27,244.99 77.27,240.51 72.79,240.51 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='88.23,299.23 92.72,299.23 92.72,294.75 88.23,294.75 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='88.23,290.96 92.72,290.96 92.72,286.48 88.23,286.48 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='119.12,345.86 123.60,345.86 123.60,341.38 119.12,341.38 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='119.12,345.86 123.60,345.86 123.60,341.38 119.12,341.38 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='189.71,421.27 194.19,421.27 194.19,416.79 189.71,416.79 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='189.71,393.16 194.19,393.16 194.19,388.67 189.71,388.67 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='255.89,442.44 260.37,442.44 260.37,437.95 255.89,437.95 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='255.89,440.78 260.37,440.78 260.37,436.30 255.89,436.30 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='322.07,464.92 326.55,464.92 326.55,460.44 322.07,460.44 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='322.07,457.32 326.55,457.32 326.55,452.84 322.07,452.84 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polyline points='59.59,170.66 61.80,184.13 64.99,201.90 66.21,208.16 70.40,227.86 75.03,246.76 75.80,249.62 81.20,267.99 86.60,283.65 90.48,293.50 92.01,297.12 97.41,308.83 102.81,319.10 108.21,328.20 113.62,336.35 119.02,343.71 121.36,346.69 124.42,350.41 129.82,356.57 135.23,362.26 140.63,367.57 146.03,372.54 151.43,377.21 156.84,381.64 162.24,385.83 167.64,389.83 173.04,393.65 178.45,397.30 183.85,400.80 189.25,404.16 191.95,405.79 194.65,407.39 200.06,410.50 205.46,413.50 210.86,416.39 216.26,419.18 221.67,421.87 227.07,424.47 232.47,426.98 237.87,429.41 243.28,431.75 248.68,434.02 254.08,436.21 258.13,437.81 259.48,438.33 264.89,440.38 270.29,442.36 275.69,444.28 281.09,446.14 286.49,447.93 291.90,449.67 297.30,451.34 302.70,452.97 308.10,454.54 313.51,456.06 318.91,457.53 324.31,458.96 ' style='stroke-width: 0.75; stroke: #9E9E9E; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
 </g>
 <defs>
   <clipPath id='cpNDA5LjAwfDY5NC45MHwxNDYuMDd8NTE1LjA0'>
@@ -739,30 +739,34 @@
 <g clip-path='url(#cpNDA5LjAwfDY5NC45MHwxNDYuMDd8NTE1LjA0)'>
 </g>
 <g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
-<line x1='419.59' y1='515.04' x2='683.37' y2='515.04' style='stroke-width: 0.75;' />
+<line x1='419.59' y1='515.04' x2='683.56' y2='515.04' style='stroke-width: 0.75;' />
 <line x1='419.59' y1='515.04' x2='419.59' y2='521.02' style='stroke-width: 0.75;' />
-<line x1='472.35' y1='515.04' x2='472.35' y2='521.02' style='stroke-width: 0.75;' />
-<line x1='525.10' y1='515.04' x2='525.10' y2='521.02' style='stroke-width: 0.75;' />
-<line x1='577.86' y1='515.04' x2='577.86' y2='521.02' style='stroke-width: 0.75;' />
-<line x1='630.62' y1='515.04' x2='630.62' y2='521.02' style='stroke-width: 0.75;' />
-<line x1='683.37' y1='515.04' x2='683.37' y2='521.02' style='stroke-width: 0.75;' />
+<line x1='472.39' y1='515.04' x2='472.39' y2='521.02' style='stroke-width: 0.75;' />
+<line x1='525.18' y1='515.04' x2='525.18' y2='521.02' style='stroke-width: 0.75;' />
+<line x1='577.97' y1='515.04' x2='577.97' y2='521.02' style='stroke-width: 0.75;' />
+<line x1='630.77' y1='515.04' x2='630.77' y2='521.02' style='stroke-width: 0.75;' />
+<line x1='683.56' y1='515.04' x2='683.56' y2='521.02' style='stroke-width: 0.75;' />
 <text x='419.59' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='5.54px' lengthAdjust='spacingAndGlyphs'>0</text>
-<text x='472.35' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>20</text>
-<text x='525.10' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>40</text>
-<text x='577.86' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>60</text>
-<text x='630.62' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>80</text>
-<text x='683.37' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='16.62px' lengthAdjust='spacingAndGlyphs'>100</text>
-<line x1='409.00' y1='512.81' x2='409.00' y2='148.31' style='stroke-width: 0.75;' />
-<line x1='409.00' y1='512.81' x2='403.03' y2='512.81' style='stroke-width: 0.75;' />
-<line x1='409.00' y1='421.68' x2='403.03' y2='421.68' style='stroke-width: 0.75;' />
+<text x='472.39' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text x='525.18' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>40</text>
+<text x='577.97' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>60</text>
+<text x='630.77' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='11.08px' lengthAdjust='spacingAndGlyphs'>80</text>
+<text x='683.56' y='536.56' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='16.62px' lengthAdjust='spacingAndGlyphs'>100</text>
+<line x1='409.00' y1='505.61' x2='409.00' y2='155.51' style='stroke-width: 0.75;' />
+<line x1='409.00' y1='505.61' x2='403.03' y2='505.61' style='stroke-width: 0.75;' />
+<line x1='409.00' y1='447.26' x2='403.03' y2='447.26' style='stroke-width: 0.75;' />
+<line x1='409.00' y1='388.91' x2='403.03' y2='388.91' style='stroke-width: 0.75;' />
 <line x1='409.00' y1='330.56' x2='403.03' y2='330.56' style='stroke-width: 0.75;' />
-<line x1='409.00' y1='239.43' x2='403.03' y2='239.43' style='stroke-width: 0.75;' />
-<line x1='409.00' y1='148.31' x2='403.03' y2='148.31' style='stroke-width: 0.75;' />
-<text transform='translate(394.66,512.81) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='8.86px' lengthAdjust='spacingAndGlyphs'>-4</text>
-<text transform='translate(394.66,421.68) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='8.86px' lengthAdjust='spacingAndGlyphs'>-2</text>
+<line x1='409.00' y1='272.21' x2='403.03' y2='272.21' style='stroke-width: 0.75;' />
+<line x1='409.00' y1='213.86' x2='403.03' y2='213.86' style='stroke-width: 0.75;' />
+<line x1='409.00' y1='155.51' x2='403.03' y2='155.51' style='stroke-width: 0.75;' />
+<text transform='translate(394.66,505.61) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='8.86px' lengthAdjust='spacingAndGlyphs'>-3</text>
+<text transform='translate(394.66,447.26) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='8.86px' lengthAdjust='spacingAndGlyphs'>-2</text>
+<text transform='translate(394.66,388.91) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='8.86px' lengthAdjust='spacingAndGlyphs'>-1</text>
 <text transform='translate(394.66,330.56) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='5.54px' lengthAdjust='spacingAndGlyphs'>0</text>
-<text transform='translate(394.66,239.43) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='5.54px' lengthAdjust='spacingAndGlyphs'>2</text>
-<text transform='translate(394.66,148.31) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='5.54px' lengthAdjust='spacingAndGlyphs'>4</text>
+<text transform='translate(394.66,272.21) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='5.54px' lengthAdjust='spacingAndGlyphs'>1</text>
+<text transform='translate(394.66,213.86) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='5.54px' lengthAdjust='spacingAndGlyphs'>2</text>
+<text transform='translate(394.66,155.51) rotate(-90)' text-anchor='middle' style='font-size: 9.96px; font-family: sans;' textLength='5.54px' lengthAdjust='spacingAndGlyphs'>3</text>
 <polygon points='409.00,515.04 694.90,515.04 694.90,146.07 409.00,146.07 ' style='stroke-width: 0.75; fill: none;' />
 </g>
 <defs>
@@ -776,582 +780,582 @@
 </g>
 <g clip-path='url(#cpNDA5LjAwfDY5NC45MHwxNDYuMDd8NTE1LjA0)'>
 <line x1='409.00' y1='330.56' x2='694.90' y2='330.56' style='stroke-width: 0.75; stroke-dasharray: 4.00,4.00;' />
-<circle cx='684.31' cy='361.97' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='684.31' cy='382.82' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='675.27' cy='345.13' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='675.27' cy='291.85' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='658.55' cy='399.80' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='658.55' cy='425.28' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='629.80' cy='367.42' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='629.80' cy='328.04' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='591.16' cy='266.63' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='591.16' cy='264.31' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='541.66' cy='330.02' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='541.66' cy='364.77' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='487.16' cy='372.62' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='487.16' cy='317.02' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='461.82' cy='319.22' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='461.82' cy='344.70' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='446.48' cy='307.21' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<circle cx='446.48' cy='316.47' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='684.31,374.70 687.33,379.93 681.29,379.93 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='684.31,307.52 687.33,312.75 681.29,312.75 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='676.24,343.16 679.25,348.39 673.22,348.39 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='676.24,340.85 679.25,346.07 673.22,346.07 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='661.22,322.49 664.24,327.71 658.20,327.71 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='661.22,347.97 664.24,353.20 658.20,353.20 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='635.15,350.71 638.17,355.94 632.14,355.94 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='635.15,255.73 638.17,260.95 632.14,260.95 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='599.49,283.03 602.51,288.26 596.47,288.26 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='599.49,391.92 602.51,397.15 596.47,397.15 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='552.38,288.62 555.40,293.84 549.36,293.84 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='552.38,376.65 555.40,381.88 549.36,381.88 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='497.69,264.69 500.71,269.92 494.67,269.92 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='497.69,343.46 500.71,348.69 494.67,348.69 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='470.76,301.58 473.78,306.81 467.75,306.81 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='470.76,375.72 473.78,380.95 467.75,380.95 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='453.69,406.47 456.71,411.70 450.67,411.70 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<polygon points='453.69,246.62 456.71,251.85 450.67,251.85 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
-<line x1='681.14' y1='371.24' x2='687.48' y2='371.24' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='684.31' y1='374.41' x2='684.31' y2='368.07' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='681.14' y1='410.62' x2='687.48' y2='410.62' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='684.31' y1='413.79' x2='684.31' y2='407.45' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='673.05' y1='314.05' x2='679.39' y2='314.05' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='676.22' y1='317.22' x2='676.22' y2='310.88' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='673.05' y1='388.18' x2='679.39' y2='388.18' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='676.22' y1='391.35' x2='676.22' y2='385.01' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='657.80' y1='335.36' x2='664.14' y2='335.36' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='660.97' y1='338.53' x2='660.97' y2='332.19' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='657.80' y1='298.30' x2='664.14' y2='298.30' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='660.97' y1='301.47' x2='660.97' y2='295.13' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='630.70' y1='317.38' x2='637.03' y2='317.38' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='633.86' y1='320.55' x2='633.86' y2='314.21' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='630.70' y1='312.75' x2='637.03' y2='312.75' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='633.86' y1='315.92' x2='633.86' y2='309.58' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='592.18' y1='349.80' x2='598.52' y2='349.80' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='595.35' y1='352.97' x2='595.35' y2='346.63' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='592.18' y1='361.39' x2='598.52' y2='361.39' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='595.35' y1='364.55' x2='595.35' y2='358.22' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='538.89' y1='287.21' x2='545.23' y2='287.21' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='542.06' y1='290.38' x2='542.06' y2='284.04' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='538.89' y1='317.33' x2='545.23' y2='317.33' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='542.06' y1='320.50' x2='542.06' y2='314.16' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='477.17' y1='375.30' x2='483.51' y2='375.30' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='480.34' y1='378.47' x2='480.34' y2='372.13' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='477.17' y1='326.65' x2='483.51' y2='326.65' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='480.34' y1='329.82' x2='480.34' y2='323.48' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='450.64' y1='323.00' x2='456.98' y2='323.00' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='453.81' y1='326.16' x2='453.81' y2='319.83' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='450.64' y1='346.16' x2='456.98' y2='346.16' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='453.81' y1='349.33' x2='453.81' y2='342.99' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='436.31' y1='287.47' x2='442.65' y2='287.47' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='439.48' y1='290.64' x2='439.48' y2='284.31' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='436.31' y1='356.98' x2='442.65' y2='356.98' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='439.48' y1='360.14' x2='439.48' y2='353.81' style='stroke-width: 0.75; stroke: #2297E6;' />
-<line x1='682.07' y1='334.10' x2='686.55' y2='329.61' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='682.07' y1='329.61' x2='686.55' y2='334.10' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='682.07' y1='380.43' x2='686.55' y2='375.95' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='682.07' y1='375.95' x2='686.55' y2='380.43' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='673.41' y1='288.19' x2='677.90' y2='283.71' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='673.41' y1='283.71' x2='677.90' y2='288.19' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='673.41' y1='397.07' x2='677.90' y2='392.59' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='673.41' y1='392.59' x2='677.90' y2='397.07' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='657.07' y1='311.48' x2='661.56' y2='306.99' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='657.07' y1='306.99' x2='661.56' y2='311.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='657.07' y1='297.58' x2='661.56' y2='293.09' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='657.07' y1='293.09' x2='661.56' y2='297.58' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='627.91' y1='289.31' x2='632.39' y2='284.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='627.91' y1='284.83' x2='632.39' y2='289.31' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='627.91' y1='393.56' x2='632.39' y2='389.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='627.91' y1='389.08' x2='632.39' y2='393.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='586.27' y1='326.72' x2='590.75' y2='322.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='586.27' y1='322.24' x2='590.75' y2='326.72' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='586.27' y1='370.74' x2='590.75' y2='366.26' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='586.27' y1='366.26' x2='590.75' y2='370.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='528.65' y1='260.84' x2='533.13' y2='256.35' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='528.65' y1='256.35' x2='533.13' y2='260.84' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='528.65' y1='360.45' x2='533.13' y2='355.97' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='528.65' y1='355.97' x2='533.13' y2='360.45' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='464.37' y1='314.87' x2='468.85' y2='310.39' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='464.37' y1='310.39' x2='468.85' y2='314.87' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='464.37' y1='331.09' x2='468.85' y2='326.60' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='464.37' y1='326.60' x2='468.85' y2='331.09' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='439.91' y1='357.14' x2='444.39' y2='352.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='439.91' y1='352.66' x2='444.39' y2='357.14' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='439.91' y1='347.88' x2='444.39' y2='343.39' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='439.91' y1='343.39' x2='444.39' y2='347.88' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='428.56' y1='357.08' x2='433.04' y2='352.60' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='428.56' y1='352.60' x2='433.04' y2='357.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='428.56' y1='382.57' x2='433.04' y2='378.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='428.56' y1='378.08' x2='433.04' y2='382.57' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<polygon points='681.14,292.47 684.31,289.30 687.48,292.47 684.31,295.64 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='681.14,357.34 684.31,354.17 687.48,357.34 684.31,360.51 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='667.10,333.60 670.27,330.43 673.44,333.60 670.27,336.77 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='667.10,271.05 670.27,267.88 673.44,271.05 670.27,274.21 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='643.06,381.96 646.23,378.79 649.40,381.96 646.23,385.13 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='643.06,414.39 646.23,411.22 649.40,414.39 646.23,417.56 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='607.18,386.58 610.35,383.42 613.52,386.58 610.35,389.75 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='607.18,321.72 610.35,318.55 613.52,321.72 610.35,324.89 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='567.91,259.39 571.08,256.22 574.25,259.39 571.08,262.56 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='567.91,296.46 571.08,293.29 574.25,296.46 571.08,299.63 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='526.25,296.64 529.42,293.47 532.59,296.64 529.42,299.81 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='526.25,356.87 529.42,353.70 532.59,356.87 529.42,360.04 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='478.13,314.17 481.30,311.00 484.47,314.17 481.30,317.34 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='478.13,328.07 481.30,324.90 484.47,328.07 481.30,331.24 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='453.04,381.09 456.21,377.93 459.38,381.09 456.21,384.26 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='453.04,297.69 456.21,294.52 459.38,297.69 456.21,300.86 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='438.16,310.67 441.33,307.50 444.50,310.67 441.33,313.84 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='438.16,405.66 441.33,402.49 444.50,405.66 441.33,408.83 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
-<polygon points='684.31,300.59 687.33,295.36 681.29,295.36 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='684.31,351.56 687.33,346.33 681.29,346.33 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='676.19,261.65 679.20,256.42 673.17,256.42 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='676.19,340.42 679.20,335.19 673.17,335.19 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='661.12,393.47 664.14,388.24 658.11,388.24 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='661.12,263.74 664.14,258.51 658.11,258.51 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='635.15,355.30 638.17,350.07 632.13,350.07 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='635.15,378.47 638.17,373.24 632.13,373.24 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='600.03,308.67 603.05,303.44 597.01,303.44 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='600.03,304.04 603.05,298.81 597.01,298.81 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='554.63,370.94 557.65,365.71 551.61,365.71 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='554.63,299.12 557.65,293.90 551.61,293.90 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='503.22,408.28 506.24,403.06 500.20,403.06 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='503.22,331.83 506.24,326.61 500.20,326.61 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='477.49,302.78 480.51,297.55 474.48,297.55 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='477.49,309.73 480.51,304.50 474.48,304.50 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='460.38,284.52 463.40,279.29 457.36,279.29 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<polygon points='460.38,351.70 463.40,346.48 457.36,346.48 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='682.07' y='331.93' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='682.07' y1='336.41' x2='686.55' y2='331.93' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='682.07' y1='331.93' x2='686.55' y2='336.41' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='682.07' y='343.51' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='682.07' y1='348.00' x2='686.55' y2='343.51' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='682.07' y1='343.51' x2='686.55' y2='348.00' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='668.21' y='282.06' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='668.21' y1='286.54' x2='672.70' y2='282.06' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='668.21' y1='282.06' x2='672.70' y2='286.54' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='668.21' y='374.72' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='668.21' y1='379.21' x2='672.70' y2='374.72' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='668.21' y1='374.72' x2='672.70' y2='379.21' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='643.16' y='275.17' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='643.16' y1='279.66' x2='647.65' y2='275.17' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='643.16' y1='275.17' x2='647.65' y2='279.66' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='643.16' y='305.29' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='643.16' y1='309.77' x2='647.65' y2='305.29' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='643.16' y1='305.29' x2='647.65' y2='309.77' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='602.00' y='309.80' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='602.00' y1='314.28' x2='606.48' y2='309.80' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='602.00' y1='309.80' x2='606.48' y2='314.28' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='602.00' y='363.08' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='602.00' y1='367.57' x2='606.48' y2='363.08' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='602.00' y1='363.08' x2='606.48' y2='367.57' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='550.89' y='326.55' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='550.89' y1='331.04' x2='555.37' y2='326.55' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='550.89' y1='326.55' x2='555.37' y2='331.04' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='550.89' y='324.24' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='550.89' y1='328.72' x2='555.37' y2='324.24' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='550.89' y1='324.24' x2='555.37' y2='328.72' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='493.88' y='407.36' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='493.88' y1='411.84' x2='498.36' y2='407.36' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='493.88' y1='407.36' x2='498.36' y2='411.84' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='493.88' y='310.06' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='493.88' y1='314.54' x2='498.36' y2='310.06' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='493.88' y1='310.06' x2='498.36' y2='314.54' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='445.28' y='325.73' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='445.28' y1='330.21' x2='449.76' y2='325.73' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='445.28' y1='325.73' x2='449.76' y2='330.21' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='445.28' y='353.53' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='445.28' y1='358.01' x2='449.76' y2='353.53' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='445.28' y1='353.53' x2='449.76' y2='358.01' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='429.53' y='252.25' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='429.53' y1='256.73' x2='434.01' y2='252.25' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='429.53' y1='252.25' x2='434.01' y2='256.73' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='429.53' y='356.50' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='429.53' y1='360.98' x2='434.01' y2='356.50' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='429.53' y1='356.50' x2='434.01' y2='360.98' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='422.78' y='313.44' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='422.78' y1='317.92' x2='427.26' y2='313.44' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='422.78' y1='313.44' x2='427.26' y2='317.92' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<rect x='422.78' y='366.72' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='422.78' y1='371.20' x2='427.26' y2='366.72' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='422.78' y1='366.72' x2='427.26' y2='371.20' style='stroke-width: 0.75; stroke: #9E9E9E;' />
-<line x1='682.07' y1='255.33' x2='686.55' y2='250.85' style='stroke-width: 0.75;' />
-<line x1='682.07' y1='250.85' x2='686.55' y2='255.33' style='stroke-width: 0.75;' />
-<line x1='681.14' y1='253.09' x2='687.48' y2='253.09' style='stroke-width: 0.75;' />
-<line x1='684.31' y1='256.26' x2='684.31' y2='249.92' style='stroke-width: 0.75;' />
-<line x1='682.07' y1='294.71' x2='686.55' y2='290.23' style='stroke-width: 0.75;' />
-<line x1='682.07' y1='290.23' x2='686.55' y2='294.71' style='stroke-width: 0.75;' />
-<line x1='681.14' y1='292.47' x2='687.48' y2='292.47' style='stroke-width: 0.75;' />
-<line x1='684.31' y1='295.64' x2='684.31' y2='289.30' style='stroke-width: 0.75;' />
-<line x1='665.34' y1='358.57' x2='669.82' y2='354.09' style='stroke-width: 0.75;' />
-<line x1='665.34' y1='354.09' x2='669.82' y2='358.57' style='stroke-width: 0.75;' />
-<line x1='664.41' y1='356.33' x2='670.75' y2='356.33' style='stroke-width: 0.75;' />
-<line x1='667.58' y1='359.50' x2='667.58' y2='353.16' style='stroke-width: 0.75;' />
-<line x1='665.34' y1='289.07' x2='669.82' y2='284.59' style='stroke-width: 0.75;' />
-<line x1='665.34' y1='284.59' x2='669.82' y2='289.07' style='stroke-width: 0.75;' />
-<line x1='664.41' y1='286.83' x2='670.75' y2='286.83' style='stroke-width: 0.75;' />
-<line x1='667.58' y1='290.00' x2='667.58' y2='283.66' style='stroke-width: 0.75;' />
-<line x1='637.00' y1='364.56' x2='641.49' y2='360.08' style='stroke-width: 0.75;' />
-<line x1='637.00' y1='360.08' x2='641.49' y2='364.56' style='stroke-width: 0.75;' />
-<line x1='636.08' y1='362.32' x2='642.41' y2='362.32' style='stroke-width: 0.75;' />
-<line x1='639.24' y1='365.49' x2='639.24' y2='359.15' style='stroke-width: 0.75;' />
-<line x1='637.00' y1='341.39' x2='641.49' y2='336.91' style='stroke-width: 0.75;' />
-<line x1='637.00' y1='336.91' x2='641.49' y2='341.39' style='stroke-width: 0.75;' />
-<line x1='636.08' y1='339.15' x2='642.41' y2='339.15' style='stroke-width: 0.75;' />
-<line x1='639.24' y1='342.32' x2='639.24' y2='335.98' style='stroke-width: 0.75;' />
-<line x1='595.77' y1='373.11' x2='600.25' y2='368.63' style='stroke-width: 0.75;' />
-<line x1='595.77' y1='368.63' x2='600.25' y2='373.11' style='stroke-width: 0.75;' />
-<line x1='594.84' y1='370.87' x2='601.18' y2='370.87' style='stroke-width: 0.75;' />
-<line x1='598.01' y1='374.04' x2='598.01' y2='367.70' style='stroke-width: 0.75;' />
-<line x1='595.77' y1='261.91' x2='600.25' y2='257.43' style='stroke-width: 0.75;' />
-<line x1='595.77' y1='257.43' x2='600.25' y2='261.91' style='stroke-width: 0.75;' />
-<line x1='594.84' y1='259.67' x2='601.18' y2='259.67' style='stroke-width: 0.75;' />
-<line x1='598.01' y1='262.84' x2='598.01' y2='256.50' style='stroke-width: 0.75;' />
-<line x1='553.25' y1='330.90' x2='557.73' y2='326.42' style='stroke-width: 0.75;' />
-<line x1='553.25' y1='326.42' x2='557.73' y2='330.90' style='stroke-width: 0.75;' />
-<line x1='552.32' y1='328.66' x2='558.66' y2='328.66' style='stroke-width: 0.75;' />
-<line x1='555.49' y1='331.83' x2='555.49' y2='325.49' style='stroke-width: 0.75;' />
-<line x1='553.25' y1='386.50' x2='557.73' y2='382.02' style='stroke-width: 0.75;' />
-<line x1='553.25' y1='382.02' x2='557.73' y2='386.50' style='stroke-width: 0.75;' />
-<line x1='552.32' y1='384.26' x2='558.66' y2='384.26' style='stroke-width: 0.75;' />
-<line x1='555.49' y1='387.43' x2='555.49' y2='381.09' style='stroke-width: 0.75;' />
-<line x1='513.53' y1='352.74' x2='518.01' y2='348.26' style='stroke-width: 0.75;' />
-<line x1='513.53' y1='348.26' x2='518.01' y2='352.74' style='stroke-width: 0.75;' />
-<line x1='512.60' y1='350.50' x2='518.94' y2='350.50' style='stroke-width: 0.75;' />
-<line x1='515.77' y1='353.67' x2='515.77' y2='347.33' style='stroke-width: 0.75;' />
-<line x1='513.53' y1='297.14' x2='518.01' y2='292.66' style='stroke-width: 0.75;' />
-<line x1='513.53' y1='292.66' x2='518.01' y2='297.14' style='stroke-width: 0.75;' />
-<line x1='512.60' y1='294.90' x2='518.94' y2='294.90' style='stroke-width: 0.75;' />
-<line x1='515.77' y1='298.07' x2='515.77' y2='291.73' style='stroke-width: 0.75;' />
-<line x1='473.12' y1='319.86' x2='477.60' y2='315.38' style='stroke-width: 0.75;' />
-<line x1='473.12' y1='315.38' x2='477.60' y2='319.86' style='stroke-width: 0.75;' />
-<line x1='472.19' y1='317.62' x2='478.53' y2='317.62' style='stroke-width: 0.75;' />
-<line x1='475.36' y1='320.79' x2='475.36' y2='314.45' style='stroke-width: 0.75;' />
-<line x1='473.12' y1='310.59' x2='477.60' y2='306.11' style='stroke-width: 0.75;' />
-<line x1='473.12' y1='306.11' x2='477.60' y2='310.59' style='stroke-width: 0.75;' />
-<line x1='472.19' y1='308.35' x2='478.53' y2='308.35' style='stroke-width: 0.75;' />
-<line x1='475.36' y1='311.52' x2='475.36' y2='305.18' style='stroke-width: 0.75;' />
-<line x1='451.83' y1='269.61' x2='456.32' y2='265.13' style='stroke-width: 0.75;' />
-<line x1='451.83' y1='265.13' x2='456.32' y2='269.61' style='stroke-width: 0.75;' />
-<line x1='450.91' y1='267.37' x2='457.24' y2='267.37' style='stroke-width: 0.75;' />
-<line x1='454.07' y1='270.54' x2='454.07' y2='264.20' style='stroke-width: 0.75;' />
-<line x1='451.83' y1='390.08' x2='456.32' y2='385.60' style='stroke-width: 0.75;' />
-<line x1='451.83' y1='385.60' x2='456.32' y2='390.08' style='stroke-width: 0.75;' />
-<line x1='450.91' y1='387.84' x2='457.24' y2='387.84' style='stroke-width: 0.75;' />
-<line x1='454.07' y1='391.01' x2='454.07' y2='384.67' style='stroke-width: 0.75;' />
-<line x1='438.69' y1='351.11' x2='443.17' y2='346.62' style='stroke-width: 0.75;' />
-<line x1='438.69' y1='346.62' x2='443.17' y2='351.11' style='stroke-width: 0.75;' />
-<line x1='437.76' y1='348.87' x2='444.10' y2='348.87' style='stroke-width: 0.75;' />
-<line x1='440.93' y1='352.04' x2='440.93' y2='345.70' style='stroke-width: 0.75;' />
-<line x1='438.69' y1='353.42' x2='443.17' y2='348.94' style='stroke-width: 0.75;' />
-<line x1='438.69' y1='348.94' x2='443.17' y2='353.42' style='stroke-width: 0.75;' />
-<line x1='437.76' y1='351.18' x2='444.10' y2='351.18' style='stroke-width: 0.75;' />
-<line x1='440.93' y1='354.35' x2='440.93' y2='348.01' style='stroke-width: 0.75;' />
-<line x1='681.14' y1='306.37' x2='687.48' y2='306.37' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='684.31' y1='309.54' x2='684.31' y2='303.20' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='681.14,306.37 684.31,303.20 687.48,306.37 684.31,309.54 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='681.14' y1='415.26' x2='687.48' y2='415.26' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='684.31' y1='418.42' x2='684.31' y2='412.09' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='681.14,415.26 684.31,412.09 687.48,415.26 684.31,418.42 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='668.35' y1='356.22' x2='674.69' y2='356.22' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='671.52' y1='359.39' x2='671.52' y2='353.05' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='668.35,356.22 671.52,353.05 674.69,356.22 671.52,359.39 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='668.35' y1='284.41' x2='674.69' y2='284.41' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='671.52' y1='287.58' x2='671.52' y2='281.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='668.35,284.41 671.52,281.24 674.69,284.41 671.52,287.58 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='645.49' y1='322.24' x2='651.83' y2='322.24' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='648.66' y1='325.41' x2='648.66' y2='319.07' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='645.49,322.24 648.66,319.07 651.83,322.24 648.66,325.41 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='645.49' y1='347.72' x2='651.83' y2='347.72' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='648.66' y1='350.89' x2='648.66' y2='344.55' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='645.49,347.72 648.66,344.55 651.83,347.72 648.66,350.89 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='608.72' y1='314.31' x2='615.05' y2='314.31' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='611.88' y1='317.48' x2='611.88' y2='311.14' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='608.72,314.31 611.88,311.14 615.05,314.31 611.88,317.48 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='608.72' y1='309.68' x2='615.05' y2='309.68' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='611.88' y1='312.85' x2='611.88' y2='306.51' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='608.72,309.68 611.88,306.51 615.05,309.68 611.88,312.85 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='564.55' y1='324.87' x2='570.89' y2='324.87' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='567.72' y1='328.04' x2='567.72' y2='321.70' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='564.55,324.87 567.72,321.70 570.89,324.87 567.72,328.04 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='564.55' y1='336.46' x2='570.89' y2='336.46' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='567.72' y1='339.63' x2='567.72' y2='333.29' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='564.55,336.46 567.72,333.29 570.89,336.46 567.72,339.63 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='516.85' y1='353.04' x2='523.18' y2='353.04' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='520.01' y1='356.21' x2='520.01' y2='349.87' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='516.85,353.04 520.01,349.87 523.18,353.04 520.01,356.21 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='516.85' y1='385.47' x2='523.18' y2='385.47' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='520.01' y1='388.64' x2='520.01' y2='382.30' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='516.85,385.47 520.01,382.30 523.18,385.47 520.01,388.64 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='472.11' y1='349.36' x2='478.45' y2='349.36' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='475.28' y1='352.53' x2='475.28' y2='346.19' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='472.11,349.36 475.28,346.19 478.45,349.36 475.28,352.53 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='472.11' y1='312.30' x2='478.45' y2='312.30' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='475.28' y1='315.46' x2='475.28' y2='309.13' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='472.11,312.30 475.28,309.13 478.45,312.30 475.28,315.46 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='451.38' y1='310.93' x2='457.72' y2='310.93' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='454.55' y1='314.10' x2='454.55' y2='307.76' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='451.38,310.93 454.55,307.76 457.72,310.93 454.55,314.10 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='451.38' y1='255.33' x2='457.72' y2='255.33' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='454.55' y1='258.50' x2='454.55' y2='252.16' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='451.38,255.33 454.55,252.16 457.72,255.33 454.55,258.50 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='438.58' y1='305.05' x2='444.92' y2='305.05' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='441.75' y1='308.22' x2='441.75' y2='301.88' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='438.58,305.05 441.75,301.88 444.92,305.05 441.75,308.22 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<line x1='438.58' y1='397.71' x2='444.92' y2='397.71' style='stroke-width: 0.75; stroke: #DF536B;' />
-<line x1='441.75' y1='400.88' x2='441.75' y2='394.55' style='stroke-width: 0.75; stroke: #DF536B;' />
-<polygon points='438.58,397.71 441.75,394.55 444.92,397.71 441.75,400.88 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
-<circle cx='684.31' cy='313.32' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='682.07' y1='313.32' x2='686.55' y2='313.32' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='684.31' y1='315.56' x2='684.31' y2='311.08' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='684.31' cy='327.22' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='682.07' y1='327.22' x2='686.55' y2='327.22' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='684.31' y1='329.46' x2='684.31' y2='324.98' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='676.96' cy='281.18' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='674.72' y1='281.18' x2='679.20' y2='281.18' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='676.96' y1='283.42' x2='676.96' y2='278.94' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='676.96' cy='427.13' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='674.72' y1='427.13' x2='679.20' y2='427.13' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='676.96' y1='429.37' x2='676.96' y2='424.89' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='663.04' cy='318.78' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='660.80' y1='318.78' x2='665.28' y2='318.78' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='663.04' y1='321.02' x2='663.04' y2='316.54' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='663.04' cy='341.94' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='660.80' y1='341.94' x2='665.28' y2='341.94' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='663.04' y1='344.19' x2='663.04' y2='339.70' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='638.04' cy='337.88' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='635.80' y1='337.88' x2='640.29' y2='337.88' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='638.04' y1='340.12' x2='638.04' y2='335.64' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='638.04' cy='303.13' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='635.80' y1='303.13' x2='640.29' y2='303.13' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='638.04' y1='305.37' x2='638.04' y2='300.89' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='601.91' cy='351.79' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='599.67' y1='351.79' x2='604.15' y2='351.79' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='601.91' y1='354.03' x2='601.91' y2='349.55' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='601.91' cy='319.35' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='599.67' y1='319.35' x2='604.15' y2='319.35' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='601.91' y1='321.60' x2='601.91' y2='317.11' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='550.38' cy='360.30' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='548.14' y1='360.30' x2='552.63' y2='360.30' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='550.38' y1='362.54' x2='550.38' y2='358.06' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='550.38' cy='313.96' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='548.14' y1='313.96' x2='552.63' y2='313.96' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='550.38' y1='316.20' x2='550.38' y2='311.72' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='487.62' cy='272.44' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='485.38' y1='272.44' x2='489.87' y2='272.44' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='487.62' y1='274.68' x2='487.62' y2='270.20' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='487.62' cy='270.13' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='485.38' y1='270.13' x2='489.87' y2='270.13' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='487.62' y1='272.37' x2='487.62' y2='267.88' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='459.23' cy='345.05' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='456.99' y1='345.05' x2='461.47' y2='345.05' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='459.23' y1='347.29' x2='459.23' y2='342.81' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='459.23' cy='421.50' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='456.99' y1='421.50' x2='461.47' y2='421.50' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='459.23' y1='423.75' x2='459.23' y2='419.26' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='443.36' cy='340.04' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='441.12' y1='340.04' x2='445.60' y2='340.04' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='443.36' y1='342.28' x2='443.36' y2='337.79' style='stroke-width: 0.75; stroke: #61D04F;' />
-<circle cx='443.36' cy='335.40' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='441.12' y1='335.40' x2='445.60' y2='335.40' style='stroke-width: 0.75; stroke: #61D04F;' />
-<line x1='443.36' y1='337.64' x2='443.36' y2='333.16' style='stroke-width: 0.75; stroke: #61D04F;' />
-<polygon points='684.31,342.29 687.33,336.19 681.29,336.19 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='684.31,335.32 687.33,341.42 681.29,341.42 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='684.31,372.41 687.33,366.31 681.29,366.31 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='684.31,365.44 687.33,371.54 681.29,371.54 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='677.94,388.28 680.96,382.18 674.92,382.18 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='677.94,381.31 680.96,387.41 674.92,387.41 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='677.94,367.43 680.96,361.33 674.92,361.33 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='677.94,360.46 680.96,366.56 674.92,366.56 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='665.84,286.64 668.86,280.54 662.82,280.54 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='665.84,279.67 668.86,285.77 662.82,285.77 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='665.84,270.42 668.86,264.32 662.82,264.32 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='665.84,263.45 668.86,269.55 662.82,269.55 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='643.97,365.56 646.98,359.46 640.95,359.46 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='643.97,358.59 646.98,364.69 640.95,364.69 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='643.97,286.79 646.98,280.69 640.95,280.69 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='643.97,279.82 646.98,285.92 640.95,285.92 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='611.94,348.41 614.96,342.31 608.92,342.31 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='611.94,341.44 614.96,347.53 608.92,347.53 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='611.94,327.56 614.96,321.46 608.92,321.46 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='611.94,320.59 614.96,326.68 608.92,326.68 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='565.19,331.63 568.21,325.53 562.17,325.53 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='565.19,324.66 568.21,330.76 562.17,330.76 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='565.19,352.48 568.21,346.38 562.17,346.38 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='565.19,345.51 568.21,351.61 562.17,351.61 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='505.09,290.29 508.11,284.19 502.07,284.19 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='505.09,283.32 508.11,289.42 502.07,289.42 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='505.09,352.84 508.11,346.74 502.07,346.74 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='505.09,345.87 508.11,351.97 502.07,351.97 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='475.27,352.78 478.29,346.68 472.25,346.68 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='475.27,345.81 478.29,351.91 472.25,351.91 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='475.27,320.34 478.29,314.24 472.25,314.24 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='475.27,313.37 478.29,319.47 472.25,319.47 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='456.86,346.28 459.88,340.19 453.84,340.19 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='456.86,339.31 459.88,345.41 453.84,345.41 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='456.86,320.80 459.88,314.70 453.84,314.70 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<polygon points='456.86,313.83 459.88,319.93 453.84,319.93 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
-<line x1='682.07' y1='368.92' x2='686.55' y2='368.92' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='684.31' y1='371.16' x2='684.31' y2='366.68' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='682.07' y='366.68' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='682.07' y1='341.12' x2='686.55' y2='341.12' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='684.31' y1='343.36' x2='684.31' y2='338.88' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='682.07' y='338.88' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='674.27' y1='300.40' x2='678.75' y2='300.40' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='676.51' y1='302.64' x2='676.51' y2='298.16' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='674.27' y='298.16' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='674.27' y1='374.53' x2='678.75' y2='374.53' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='676.51' y1='376.77' x2='676.51' y2='372.29' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='674.27' y='372.29' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='659.56' y1='347.27' x2='664.04' y2='347.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='661.80' y1='349.51' x2='661.80' y2='345.03' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='659.56' y='345.03' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='659.56' y1='333.37' x2='664.04' y2='333.37' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='661.80' y1='335.61' x2='661.80' y2='331.13' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='659.56' y='331.13' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='633.35' y1='314.00' x2='637.83' y2='314.00' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='635.59' y1='316.25' x2='635.59' y2='311.76' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='633.35' y='311.76' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='633.35' y1='304.74' x2='637.83' y2='304.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='635.59' y1='306.98' x2='635.59' y2='302.50' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='633.35' y='302.50' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='595.97' y1='335.51' x2='600.45' y2='335.51' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='598.21' y1='337.75' x2='598.21' y2='333.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='595.97' y='333.27' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='595.97' y1='303.08' x2='600.45' y2='303.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='598.21' y1='305.32' x2='598.21' y2='300.84' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='595.97' y='300.84' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='543.84' y1='287.78' x2='548.33' y2='287.78' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='546.08' y1='290.02' x2='546.08' y2='285.54' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='543.84' y='285.54' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='543.84' y1='419.83' x2='548.33' y2='419.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='546.08' y1='422.07' x2='546.08' y2='417.59' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='543.84' y='417.59' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='482.36' y1='299.21' x2='486.85' y2='299.21' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='484.61' y1='301.45' x2='484.61' y2='296.97' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='482.36' y='296.97' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='482.36' y1='294.57' x2='486.85' y2='294.57' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='484.61' y1='296.82' x2='484.61' y2='292.33' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='482.36' y='292.33' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='455.13' y1='354.23' x2='459.61' y2='354.23' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='457.37' y1='356.47' x2='457.37' y2='351.99' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='455.13' y='351.99' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='455.13' y1='386.66' x2='459.61' y2='386.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='457.37' y1='388.90' x2='457.37' y2='384.42' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='455.13' y='384.42' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='439.97' y1='295.23' x2='444.45' y2='295.23' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='442.21' y1='297.48' x2='442.21' y2='292.99' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='439.97' y='292.99' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='439.97' y1='336.93' x2='444.45' y2='336.93' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<line x1='442.21' y1='339.18' x2='442.21' y2='334.69' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<rect x='439.97' y='334.69' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
-<circle cx='684.31' cy='294.79' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='682.07' y1='297.03' x2='686.55' y2='292.55' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='682.07' y1='292.55' x2='686.55' y2='297.03' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='684.31' cy='290.15' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='682.07' y1='292.40' x2='686.55' y2='287.91' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='682.07' y1='287.91' x2='686.55' y2='292.40' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='674.92' cy='288.72' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='672.67' y1='290.96' x2='677.16' y2='286.48' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='672.67' y1='286.48' x2='677.16' y2='290.96' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='674.92' cy='411.50' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='672.67' y1='413.74' x2='677.16' y2='409.26' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='672.67' y1='409.26' x2='677.16' y2='413.74' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='657.47' cy='211.95' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='655.23' y1='214.19' x2='659.71' y2='209.71' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='655.23' y1='209.71' x2='659.71' y2='214.19' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='657.47' cy='348.63' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='655.23' y1='350.87' x2='659.71' y2='346.39' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='655.23' y1='346.39' x2='659.71' y2='350.87' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='627.28' cy='331.41' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='625.04' y1='333.65' x2='629.53' y2='329.17' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='625.04' y1='329.17' x2='629.53' y2='333.65' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='627.28' cy='361.53' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='625.04' y1='363.77' x2='629.53' y2='359.28' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='625.04' y1='359.28' x2='629.53' y2='363.77' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='586.29' cy='309.60' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='584.05' y1='311.84' x2='588.53' y2='307.36' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='584.05' y1='307.36' x2='588.53' y2='311.84' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='586.29' cy='325.81' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='584.05' y1='328.06' x2='588.53' y2='323.57' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='584.05' y1='323.57' x2='588.53' y2='328.06' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='533.24' cy='320.90' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='531.00' y1='323.14' x2='535.48' y2='318.66' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='531.00' y1='318.66' x2='535.48' y2='323.14' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='533.24' cy='388.08' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='531.00' y1='390.32' x2='535.48' y2='385.84' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='531.00' y1='385.84' x2='535.48' y2='390.32' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='475.91' cy='338.69' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='473.67' y1='340.93' x2='478.15' y2='336.45' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='473.67' y1='336.45' x2='478.15' y2='340.93' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='475.91' cy='322.48' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='473.67' y1='324.72' x2='478.15' y2='320.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='473.67' y1='320.24' x2='478.15' y2='324.72' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='451.48' cy='274.70' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='449.24' y1='276.94' x2='453.72' y2='272.46' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='449.24' y1='272.46' x2='453.72' y2='276.94' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='451.48' cy='263.11' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='449.24' y1='265.35' x2='453.72' y2='260.87' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='449.24' y1='260.87' x2='453.72' y2='265.35' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='438.07' cy='346.87' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='435.83' y1='349.11' x2='440.31' y2='344.63' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='435.83' y1='344.63' x2='440.31' y2='349.11' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<circle cx='438.07' cy='448.81' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='435.83' y1='451.05' x2='440.31' y2='446.57' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<line x1='435.83' y1='446.57' x2='440.31' y2='451.05' style='stroke-width: 0.75; stroke: #CD0BBC;' />
-<polygon points='684.31,311.08 686.55,315.56 682.07,315.56 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='682.07' y='311.08' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='684.31,352.78 686.55,357.26 682.07,357.26 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='682.07' y='352.78' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='674.32,265.00 676.56,269.48 672.08,269.48 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='672.08' y='265.00' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='674.32,336.82 676.56,341.30 672.08,341.30 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='672.08' y='336.82' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='655.83,304.17 658.07,308.65 653.59,308.65 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='653.59' y='304.17' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='655.83,320.39 658.07,324.87 653.59,324.87 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='653.59' y='320.39' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='624.06,377.32 626.30,381.80 621.82,381.80 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='621.82' y='377.32' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='624.06,344.88 626.30,349.37 621.82,349.37 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='621.82' y='344.88' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='581.43,313.33 583.67,317.81 579.19,317.81 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='579.19' y='313.33' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='581.43,290.16 583.67,294.65 579.19,294.65 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='579.19' y='290.16' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='527.28,342.82 529.52,347.30 525.04,347.30 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='525.04' y='342.82' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='527.28,354.40 529.52,358.88 525.04,358.88 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='525.04' y='354.40' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='470.44,350.93 472.68,355.41 468.20,355.41 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='468.20' y='350.93' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='470.44,262.90 472.68,267.38 468.20,267.38 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='468.20' y='262.90' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='447.10,294.22 449.34,298.71 444.86,298.71 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='444.86' y='294.22' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='447.10,354.46 449.34,358.94 444.86,358.94 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='444.86' y='354.46' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='434.80,420.19 437.04,424.67 432.56,424.67 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='432.56' y='420.19' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='434.80,308.99 437.04,313.47 432.56,313.47 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
-<rect x='432.56' y='308.99' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
-<polygon points='682.07,385.06 686.55,385.06 686.55,380.58 682.07,380.58 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='682.07,232.16 686.55,232.16 686.55,227.68 682.07,227.68 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='671.55,239.40 676.04,239.40 676.04,234.92 671.55,234.92 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='671.55,288.05 676.04,288.05 676.04,283.57 671.55,283.57 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='652.48,308.21 656.96,308.21 656.96,303.73 652.48,303.73 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='652.48,282.73 656.96,282.73 656.96,278.25 652.48,278.25 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='620.95,369.52 625.43,369.52 625.43,365.04 620.95,365.04 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='620.95,381.11 625.43,381.11 625.43,376.62 620.95,376.62 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='581.25,331.30 585.73,331.30 585.73,326.81 581.25,326.81 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='581.25,366.05 585.73,366.05 585.73,361.56 581.25,361.56 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='535.10,333.68 539.58,333.68 539.58,329.20 535.10,329.20 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='535.10,261.86 539.58,261.86 539.58,257.38 535.10,257.38 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='487.90,319.93 492.38,319.93 492.38,315.45 487.90,315.45 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='487.90,475.15 492.38,475.15 492.38,470.67 487.90,470.67 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='464.66,328.99 469.14,328.99 469.14,324.51 464.66,324.51 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='464.66,238.64 469.14,238.64 469.14,234.16 464.66,234.16 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='449.43,276.29 453.91,276.29 453.91,271.81 449.43,271.81 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
-<polygon points='449.43,366.64 453.91,366.64 453.91,362.16 449.43,362.16 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<circle cx='684.31' cy='286.90' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='684.31' cy='357.70' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='675.71' cy='368.28' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='675.71' cy='340.58' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='659.74' cy='222.04' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='659.74' cy='308.23' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='632.05' cy='290.15' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='632.05' cy='219.35' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='594.33' cy='299.70' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='594.33' cy='398.20' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='545.13' cy='409.27' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='545.13' cy='418.51' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='490.13' cy='334.36' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='490.13' cy='257.41' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='464.48' cy='275.30' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='464.48' cy='333.78' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='448.77' cy='390.73' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='448.77' cy='289.15' r='2.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='684.22,233.16 687.24,238.39 681.20,238.39 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='684.22,300.88 687.24,306.11 681.20,306.11 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='676.84,384.15 679.86,389.37 673.82,389.37 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='676.84,261.02 679.86,266.25 673.82,266.25 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='662.95,339.15 665.97,344.37 659.93,344.37 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='662.95,329.91 665.97,335.14 659.93,335.14 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='638.27,319.12 641.29,324.35 635.25,324.35 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='638.27,371.45 641.29,376.68 635.25,376.68 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='603.18,343.94 606.20,349.17 600.16,349.17 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='603.18,300.85 606.20,306.07 600.16,306.07 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='554.27,263.00 557.28,268.23 551.25,268.23 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='554.27,361.50 557.28,366.73 551.25,366.73 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='495.21,325.45 498.23,330.68 492.19,330.68 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='495.21,270.05 498.23,275.27 492.19,275.27 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='467.16,318.42 470.17,323.64 464.14,323.64 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='467.16,423.08 470.17,428.30 464.14,428.30 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='450.26,321.48 453.28,326.71 447.24,326.71 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='450.26,303.01 453.28,308.24 447.24,308.24 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<line x1='681.14' y1='243.84' x2='687.48' y2='243.84' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='684.31' y1='247.00' x2='684.31' y2='240.67' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='681.14' y1='277.70' x2='687.48' y2='277.70' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='684.31' y1='280.86' x2='684.31' y2='274.53' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='672.73' y1='272.03' x2='679.07' y2='272.03' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='675.90' y1='275.20' x2='675.90' y2='268.86' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='672.73' y1='404.39' x2='679.07' y2='404.39' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='675.90' y1='407.56' x2='675.90' y2='401.22' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='656.92' y1='392.35' x2='663.26' y2='392.35' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='660.09' y1='395.52' x2='660.09' y2='389.18' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='656.92' y1='266.15' x2='663.26' y2='266.15' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='660.09' y1='269.32' x2='660.09' y2='262.98' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='628.86' y1='305.27' x2='635.20' y2='305.27' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='632.03' y1='308.43' x2='632.03' y2='302.10' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='628.86' y1='369.91' x2='635.20' y2='369.91' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='632.03' y1='373.08' x2='632.03' y2='366.74' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='589.15' y1='291.61' x2='595.49' y2='291.61' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='592.32' y1='294.78' x2='592.32' y2='288.44' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='589.15' y1='334.70' x2='595.49' y2='334.70' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='592.32' y1='337.87' x2='592.32' y2='331.53' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='534.61' y1='357.44' x2='540.95' y2='357.44' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='537.78' y1='360.61' x2='537.78' y2='354.27' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='534.61' y1='305.11' x2='540.95' y2='305.11' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='537.78' y1='308.28' x2='537.78' y2='301.95' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='472.56' y1='249.44' x2='478.89' y2='249.44' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='475.73' y1='252.61' x2='475.73' y2='246.27' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='472.56' y1='391.04' x2='478.89' y2='391.04' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='475.73' y1='394.21' x2='475.73' y2='387.87' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='446.75' y1='437.97' x2='453.09' y2='437.97' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='449.92' y1='441.14' x2='449.92' y2='434.80' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='446.75' y1='357.94' x2='453.09' y2='357.94' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='449.92' y1='361.11' x2='449.92' y2='354.77' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='433.33' y1='315.30' x2='439.67' y2='315.30' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='436.50' y1='318.47' x2='436.50' y2='312.13' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='433.33' y1='244.50' x2='439.67' y2='244.50' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='436.50' y1='247.67' x2='436.50' y2='241.33' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='681.30' y1='237.15' x2='685.78' y2='232.67' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='681.30' y1='232.67' x2='685.78' y2='237.15' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='681.30' y1='354.12' x2='685.78' y2='349.64' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='681.30' y1='349.64' x2='685.78' y2='354.12' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='672.51' y1='396.23' x2='676.99' y2='391.75' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='672.51' y1='391.75' x2='676.99' y2='396.23' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='672.51' y1='420.86' x2='676.99' y2='416.37' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='672.51' y1='416.37' x2='676.99' y2='420.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='655.96' y1='341.77' x2='660.44' y2='337.29' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='655.96' y1='337.29' x2='660.44' y2='341.77' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='655.96' y1='332.54' x2='660.44' y2='328.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='655.96' y1='328.05' x2='660.44' y2='332.54' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='626.60' y1='356.54' x2='631.09' y2='352.06' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='626.60' y1='352.06' x2='631.09' y2='356.54' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='626.60' y1='298.05' x2='631.09' y2='293.57' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='626.60' y1='293.57' x2='631.09' y2='298.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='585.11' y1='303.66' x2='589.60' y2='299.18' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='585.11' y1='299.18' x2='589.60' y2='303.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='585.11' y1='362.15' x2='589.60' y2='357.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='585.11' y1='357.66' x2='589.60' y2='362.15' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='528.47' y1='277.22' x2='532.95' y2='272.73' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='528.47' y1='272.73' x2='532.95' y2='277.22' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='528.47' y1='329.54' x2='532.95' y2='325.06' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='528.47' y1='325.06' x2='532.95' y2='329.54' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='465.77' y1='352.63' x2='470.26' y2='348.15' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='465.77' y1='348.15' x2='470.26' y2='352.63' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='465.77' y1='340.32' x2='470.26' y2='335.84' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='465.77' y1='335.84' x2='470.26' y2='340.32' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='441.42' y1='382.60' x2='445.90' y2='378.12' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='441.42' y1='378.12' x2='445.90' y2='382.60' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='441.42' y1='397.99' x2='445.90' y2='393.51' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='441.42' y1='393.51' x2='445.90' y2='397.99' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='429.72' y1='273.83' x2='434.20' y2='269.34' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='429.72' y1='269.34' x2='434.20' y2='273.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='429.72' y1='320.00' x2='434.20' y2='315.52' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='429.72' y1='315.52' x2='434.20' y2='320.00' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polygon points='680.11,438.02 683.28,434.85 686.44,438.02 683.28,441.19 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='680.11,299.50 683.28,296.33 686.44,299.50 683.28,302.67 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='666.92,410.47 670.09,407.31 673.26,410.47 670.09,413.64 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='666.92,262.72 670.09,259.55 673.26,262.72 670.09,265.89 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='643.91,354.49 647.08,351.32 650.24,354.49 647.08,357.66 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='643.91,305.24 647.08,302.07 650.24,305.24 647.08,308.41 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='608.38,386.55 611.55,383.38 614.72,386.55 611.55,389.72 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='608.38,432.72 611.55,429.56 614.72,432.72 611.55,435.89 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='567.89,206.84 571.06,203.67 574.23,206.84 571.06,210.01 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='567.89,320.74 571.06,317.57 574.23,320.74 571.06,323.91 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='524.75,384.06 527.92,380.89 531.09,384.06 527.92,387.23 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='524.75,254.78 527.92,251.61 531.09,254.78 527.92,257.95 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='478.17,394.95 481.34,391.78 484.51,394.95 481.34,398.12 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='478.17,327.23 481.34,324.06 484.51,327.23 481.34,330.40 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='454.15,296.51 457.32,293.34 460.49,296.51 457.32,299.68 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='454.15,321.13 457.32,317.97 460.49,321.13 457.32,324.30 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='439.52,319.77 442.69,316.60 445.86,319.77 442.69,322.94 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='439.52,365.94 442.69,362.77 445.86,365.94 442.69,369.11 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='684.11,371.17 687.13,365.95 681.09,365.95 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='684.11,263.44 687.13,258.21 681.09,258.21 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='675.95,312.93 678.96,307.71 672.93,307.71 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='675.95,368.34 678.96,363.11 672.93,363.11 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='660.86,312.51 663.88,307.28 657.84,307.28 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='660.86,303.27 663.88,298.04 657.84,298.04 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='634.99,343.22 638.01,337.99 631.97,337.99 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='634.99,269.35 638.01,264.12 631.97,264.12 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='600.27,363.20 603.29,357.97 597.25,357.97 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='600.27,360.12 603.29,354.89 597.25,354.89 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='555.68,397.26 558.70,392.03 552.66,392.03 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='555.68,280.29 558.70,275.06 552.66,275.06 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='504.62,399.04 507.64,393.81 501.60,393.81 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='504.62,288.22 507.64,282.99 501.60,282.99 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='478.40,271.78 481.42,266.55 475.38,266.55 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='478.40,265.62 481.42,260.40 475.38,260.40 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='460.82,408.50 463.84,403.27 457.80,403.27 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='460.82,331.54 463.84,326.31 457.80,326.31 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='681.40' y='387.67' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='681.40' y1='392.15' x2='685.88' y2='387.67' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='681.40' y1='387.67' x2='685.88' y2='392.15' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='681.40' y='252.23' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='681.40' y1='256.71' x2='685.88' y2='252.23' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='681.40' y1='252.23' x2='685.88' y2='256.71' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='666.68' y='379.17' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='666.68' y1='383.66' x2='671.16' y2='379.17' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='666.68' y1='379.17' x2='671.16' y2='383.66' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='666.68' y='308.38' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='666.68' y1='312.86' x2='671.16' y2='308.38' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='666.68' y1='308.38' x2='671.16' y2='312.86' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='640.57' y='324.04' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='640.57' y1='328.52' x2='645.05' y2='324.04' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='640.57' y1='324.04' x2='645.05' y2='328.52' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='640.57' y='348.67' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='640.57' y1='353.15' x2='645.05' y2='348.67' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='640.57' y1='348.67' x2='645.05' y2='353.15' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='599.09' y='332.85' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='599.09' y1='337.34' x2='603.57' y2='332.85' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='599.09' y1='332.85' x2='603.57' y2='337.34' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='599.09' y='342.09' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='599.09' y1='346.57' x2='603.57' y2='342.09' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='599.09' y1='342.09' x2='603.57' y2='346.57' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='549.95' y='378.53' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='549.95' y1='383.01' x2='554.43' y2='378.53' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='549.95' y1='378.53' x2='554.43' y2='383.01' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='549.95' y='258.48' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='549.95' y1='262.96' x2='554.43' y2='258.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='549.95' y1='258.48' x2='554.43' y2='262.96' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='497.05' y='343.49' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='497.05' y1='347.97' x2='501.53' y2='343.49' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='497.05' y1='343.49' x2='501.53' y2='347.97' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='497.05' y='328.09' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='497.05' y1='332.58' x2='501.53' y2='328.09' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='497.05' y1='328.09' x2='501.53' y2='332.58' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='449.16' y='215.97' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='449.16' y1='220.45' x2='453.64' y2='215.97' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='449.16' y1='215.97' x2='453.64' y2='220.45' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='449.16' y='388.35' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='449.16' y1='392.83' x2='453.64' y2='388.35' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='449.16' y1='388.35' x2='453.64' y2='392.83' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='431.69' y='427.76' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='431.69' y1='432.24' x2='436.17' y2='427.76' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='431.69' y1='427.76' x2='436.17' y2='432.24' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='431.69' y='412.37' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='431.69' y1='416.85' x2='436.17' y2='412.37' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='431.69' y1='412.37' x2='436.17' y2='416.85' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='423.85' y='336.40' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='423.85' y1='340.88' x2='428.33' y2='336.40' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='423.85' y1='336.40' x2='428.33' y2='340.88' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='423.85' y='253.29' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='423.85' y1='257.77' x2='428.33' y2='253.29' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='423.85' y1='253.29' x2='428.33' y2='257.77' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='681.34' y1='339.14' x2='685.82' y2='334.66' style='stroke-width: 0.75;' />
+<line x1='681.34' y1='334.66' x2='685.82' y2='339.14' style='stroke-width: 0.75;' />
+<line x1='680.41' y1='336.90' x2='686.75' y2='336.90' style='stroke-width: 0.75;' />
+<line x1='683.58' y1='340.07' x2='683.58' y2='333.73' style='stroke-width: 0.75;' />
+<line x1='681.34' y1='311.44' x2='685.82' y2='306.96' style='stroke-width: 0.75;' />
+<line x1='681.34' y1='306.96' x2='685.82' y2='311.44' style='stroke-width: 0.75;' />
+<line x1='680.41' y1='309.20' x2='686.75' y2='309.20' style='stroke-width: 0.75;' />
+<line x1='683.58' y1='312.37' x2='683.58' y2='306.03' style='stroke-width: 0.75;' />
+<line x1='664.11' y1='390.62' x2='668.59' y2='386.14' style='stroke-width: 0.75;' />
+<line x1='664.11' y1='386.14' x2='668.59' y2='390.62' style='stroke-width: 0.75;' />
+<line x1='663.18' y1='388.38' x2='669.52' y2='388.38' style='stroke-width: 0.75;' />
+<line x1='666.35' y1='391.55' x2='666.35' y2='385.21' style='stroke-width: 0.75;' />
+<line x1='664.11' y1='310.59' x2='668.59' y2='306.10' style='stroke-width: 0.75;' />
+<line x1='664.11' y1='306.10' x2='668.59' y2='310.59' style='stroke-width: 0.75;' />
+<line x1='663.18' y1='308.35' x2='669.52' y2='308.35' style='stroke-width: 0.75;' />
+<line x1='666.35' y1='311.52' x2='666.35' y2='305.18' style='stroke-width: 0.75;' />
+<line x1='635.19' y1='327.36' x2='639.67' y2='322.87' style='stroke-width: 0.75;' />
+<line x1='635.19' y1='322.87' x2='639.67' y2='327.36' style='stroke-width: 0.75;' />
+<line x1='634.26' y1='325.11' x2='640.60' y2='325.11' style='stroke-width: 0.75;' />
+<line x1='637.43' y1='328.28' x2='637.43' y2='321.95' style='stroke-width: 0.75;' />
+<line x1='635.19' y1='392.00' x2='639.67' y2='387.52' style='stroke-width: 0.75;' />
+<line x1='635.19' y1='387.52' x2='639.67' y2='392.00' style='stroke-width: 0.75;' />
+<line x1='634.26' y1='389.76' x2='640.60' y2='389.76' style='stroke-width: 0.75;' />
+<line x1='637.43' y1='392.93' x2='637.43' y2='386.59' style='stroke-width: 0.75;' />
+<line x1='593.81' y1='288.10' x2='598.29' y2='283.62' style='stroke-width: 0.75;' />
+<line x1='593.81' y1='283.62' x2='598.29' y2='288.10' style='stroke-width: 0.75;' />
+<line x1='592.88' y1='285.86' x2='599.22' y2='285.86' style='stroke-width: 0.75;' />
+<line x1='596.05' y1='289.03' x2='596.05' y2='282.69' style='stroke-width: 0.75;' />
+<line x1='593.81' y1='306.57' x2='598.29' y2='302.09' style='stroke-width: 0.75;' />
+<line x1='593.81' y1='302.09' x2='598.29' y2='306.57' style='stroke-width: 0.75;' />
+<line x1='592.88' y1='304.33' x2='599.22' y2='304.33' style='stroke-width: 0.75;' />
+<line x1='596.05' y1='307.50' x2='596.05' y2='301.16' style='stroke-width: 0.75;' />
+<line x1='552.26' y1='446.96' x2='556.75' y2='442.48' style='stroke-width: 0.75;' />
+<line x1='552.26' y1='442.48' x2='556.75' y2='446.96' style='stroke-width: 0.75;' />
+<line x1='551.34' y1='444.72' x2='557.67' y2='444.72' style='stroke-width: 0.75;' />
+<line x1='554.50' y1='447.89' x2='554.50' y2='441.55' style='stroke-width: 0.75;' />
+<line x1='552.26' y1='299.21' x2='556.75' y2='294.73' style='stroke-width: 0.75;' />
+<line x1='552.26' y1='294.73' x2='556.75' y2='299.21' style='stroke-width: 0.75;' />
+<line x1='551.34' y1='296.97' x2='557.67' y2='296.97' style='stroke-width: 0.75;' />
+<line x1='554.50' y1='300.14' x2='554.50' y2='293.80' style='stroke-width: 0.75;' />
+<line x1='514.50' y1='379.04' x2='518.98' y2='374.55' style='stroke-width: 0.75;' />
+<line x1='514.50' y1='374.55' x2='518.98' y2='379.04' style='stroke-width: 0.75;' />
+<line x1='513.57' y1='376.79' x2='519.91' y2='376.79' style='stroke-width: 0.75;' />
+<line x1='516.74' y1='379.96' x2='516.74' y2='373.63' style='stroke-width: 0.75;' />
+<line x1='514.50' y1='252.83' x2='518.98' y2='248.35' style='stroke-width: 0.75;' />
+<line x1='514.50' y1='248.35' x2='518.98' y2='252.83' style='stroke-width: 0.75;' />
+<line x1='513.57' y1='250.59' x2='519.91' y2='250.59' style='stroke-width: 0.75;' />
+<line x1='516.74' y1='253.76' x2='516.74' y2='247.42' style='stroke-width: 0.75;' />
+<line x1='475.48' y1='348.83' x2='479.96' y2='344.34' style='stroke-width: 0.75;' />
+<line x1='475.48' y1='344.34' x2='479.96' y2='348.83' style='stroke-width: 0.75;' />
+<line x1='474.55' y1='346.59' x2='480.89' y2='346.59' style='stroke-width: 0.75;' />
+<line x1='477.72' y1='349.75' x2='477.72' y2='343.42' style='stroke-width: 0.75;' />
+<line x1='475.48' y1='410.39' x2='479.96' y2='405.91' style='stroke-width: 0.75;' />
+<line x1='475.48' y1='405.91' x2='479.96' y2='410.39' style='stroke-width: 0.75;' />
+<line x1='474.55' y1='408.15' x2='480.89' y2='408.15' style='stroke-width: 0.75;' />
+<line x1='477.72' y1='411.32' x2='477.72' y2='404.98' style='stroke-width: 0.75;' />
+<line x1='454.21' y1='230.08' x2='458.69' y2='225.60' style='stroke-width: 0.75;' />
+<line x1='454.21' y1='225.60' x2='458.69' y2='230.08' style='stroke-width: 0.75;' />
+<line x1='453.28' y1='227.84' x2='459.62' y2='227.84' style='stroke-width: 0.75;' />
+<line x1='456.45' y1='231.01' x2='456.45' y2='224.67' style='stroke-width: 0.75;' />
+<line x1='454.21' y1='343.98' x2='458.69' y2='339.50' style='stroke-width: 0.75;' />
+<line x1='454.21' y1='339.50' x2='458.69' y2='343.98' style='stroke-width: 0.75;' />
+<line x1='453.28' y1='341.74' x2='459.62' y2='341.74' style='stroke-width: 0.75;' />
+<line x1='456.45' y1='344.91' x2='456.45' y2='338.57' style='stroke-width: 0.75;' />
+<line x1='440.74' y1='365.41' x2='445.22' y2='360.92' style='stroke-width: 0.75;' />
+<line x1='440.74' y1='360.92' x2='445.22' y2='365.41' style='stroke-width: 0.75;' />
+<line x1='439.81' y1='363.17' x2='446.15' y2='363.17' style='stroke-width: 0.75;' />
+<line x1='442.98' y1='366.34' x2='442.98' y2='360.00' style='stroke-width: 0.75;' />
+<line x1='440.74' y1='279.22' x2='445.22' y2='274.74' style='stroke-width: 0.75;' />
+<line x1='440.74' y1='274.74' x2='445.22' y2='279.22' style='stroke-width: 0.75;' />
+<line x1='439.81' y1='276.98' x2='446.15' y2='276.98' style='stroke-width: 0.75;' />
+<line x1='442.98' y1='280.15' x2='442.98' y2='273.81' style='stroke-width: 0.75;' />
+<line x1='680.48' y1='260.73' x2='686.82' y2='260.73' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='683.65' y1='263.90' x2='683.65' y2='257.56' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='680.48,260.73 683.65,257.56 686.82,260.73 683.65,263.90 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='680.48' y1='380.78' x2='686.82' y2='380.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='683.65' y1='383.95' x2='683.65' y2='377.61' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='680.48,380.78 683.65,377.61 686.82,380.78 683.65,383.95 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='667.86' y1='282.86' x2='674.19' y2='282.86' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='671.03' y1='286.03' x2='671.03' y2='279.69' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='667.86,282.86 671.03,279.69 674.19,282.86 671.03,286.03 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='667.86' y1='452.16' x2='674.19' y2='452.16' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='671.03' y1='455.33' x2='671.03' y2='448.99' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='667.86,452.16 671.03,448.99 674.19,452.16 671.03,455.33 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='645.40' y1='350.41' x2='651.74' y2='350.41' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='648.57' y1='353.58' x2='648.57' y2='347.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='645.40,350.41 648.57,347.24 651.74,350.41 648.57,353.58 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='645.40' y1='304.24' x2='651.74' y2='304.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='648.57' y1='307.41' x2='648.57' y2='301.07' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='645.40,304.24 648.57,301.07 651.74,304.24 648.57,307.41 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='609.56' y1='317.25' x2='615.90' y2='317.25' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='612.73' y1='320.42' x2='612.73' y2='314.08' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='609.56,317.25 612.73,314.08 615.90,317.25 612.73,320.42 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='609.56' y1='274.15' x2='615.90' y2='274.15' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='612.73' y1='277.32' x2='612.73' y2='270.99' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='609.56,274.15 612.73,270.99 615.90,274.15 612.73,277.32 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='566.82' y1='379.05' x2='573.16' y2='379.05' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='569.99' y1='382.22' x2='569.99' y2='375.88' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='566.82,379.05 569.99,375.88 573.16,379.05 569.99,382.22 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='566.82' y1='345.19' x2='573.16' y2='345.19' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='569.99' y1='348.36' x2='569.99' y2='342.02' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='566.82,345.19 569.99,342.02 573.16,345.19 569.99,348.36 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='520.13' y1='382.53' x2='526.47' y2='382.53' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='523.30' y1='385.70' x2='523.30' y2='379.37' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='520.13,382.53 523.30,379.37 526.47,382.53 523.30,385.70 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='520.13' y1='293.27' x2='526.47' y2='293.27' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='523.30' y1='296.44' x2='523.30' y2='290.10' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='520.13,293.27 523.30,290.10 526.47,293.27 523.30,296.44 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='473.39' y1='409.97' x2='479.73' y2='409.97' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='476.56' y1='413.14' x2='476.56' y2='406.80' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='473.39,409.97 476.56,406.80 479.73,409.97 476.56,413.14 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='473.39' y1='271.45' x2='479.73' y2='271.45' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='476.56' y1='274.62' x2='476.56' y2='268.28' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='473.39,271.45 476.56,268.28 479.73,271.45 476.56,274.62 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='450.98' y1='293.34' x2='457.32' y2='293.34' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='454.15' y1='296.51' x2='454.15' y2='290.17' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='450.98,293.34 454.15,290.17 457.32,293.34 454.15,296.51 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='450.98' y1='296.41' x2='457.32' y2='296.41' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='454.15' y1='299.58' x2='454.15' y2='293.25' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='450.98,296.41 454.15,293.25 457.32,296.41 454.15,299.58 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='437.50' y1='357.79' x2='443.84' y2='357.79' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='440.67' y1='360.96' x2='440.67' y2='354.62' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='437.50,357.79 440.67,354.62 443.84,357.79 440.67,360.96 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='437.50' y1='330.09' x2='443.84' y2='330.09' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='440.67' y1='333.26' x2='440.67' y2='326.92' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='437.50,330.09 440.67,326.92 443.84,330.09 440.67,333.26 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<circle cx='682.78' cy='312.22' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='680.54' y1='312.22' x2='685.02' y2='312.22' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='682.78' y1='314.46' x2='682.78' y2='309.98' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='682.78' cy='472.28' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='680.54' y1='472.28' x2='685.02' y2='472.28' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='682.78' y1='474.52' x2='682.78' y2='470.04' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='675.09' cy='339.52' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='672.85' y1='339.52' x2='677.33' y2='339.52' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='675.09' y1='341.76' x2='675.09' y2='337.28' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='675.09' cy='398.00' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='672.85' y1='398.00' x2='677.33' y2='398.00' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='675.09' y1='400.24' x2='675.09' y2='395.76' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='660.63' cy='432.54' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='658.39' y1='432.54' x2='662.87' y2='432.54' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='660.63' y1='434.78' x2='660.63' y2='430.30' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='660.63' cy='278.63' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='658.39' y1='278.63' x2='662.87' y2='278.63' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='660.63' y1='280.87' x2='660.63' y2='276.39' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='634.99' cy='413.68' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='632.75' y1='413.68' x2='637.23' y2='413.68' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='634.99' y1='415.92' x2='634.99' y2='411.43' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='634.99' cy='333.64' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='632.75' y1='333.64' x2='637.23' y2='333.64' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='634.99' y1='335.88' x2='634.99' y2='331.40' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='598.69' cy='402.87' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='596.45' y1='402.87' x2='600.94' y2='402.87' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='598.69' y1='405.11' x2='598.69' y2='400.63' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='598.69' cy='193.55' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='596.45' y1='193.55' x2='600.94' y2='193.55' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='598.69' y1='195.79' x2='598.69' y2='191.31' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='548.51' cy='260.96' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='546.27' y1='260.96' x2='550.75' y2='260.96' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='548.51' y1='263.20' x2='548.51' y2='258.72' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='548.51' cy='340.99' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='546.27' y1='340.99' x2='550.75' y2='340.99' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='548.51' y1='343.23' x2='548.51' y2='338.75' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='489.09' cy='285.26' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='486.85' y1='285.26' x2='491.33' y2='285.26' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='489.09' y1='287.50' x2='489.09' y2='283.02' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='489.09' cy='377.61' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='486.85' y1='377.61' x2='491.33' y2='377.61' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='489.09' y1='379.85' x2='489.09' y2='375.37' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='461.77' cy='360.71' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='459.53' y1='360.71' x2='464.01' y2='360.71' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='461.77' y1='362.95' x2='461.77' y2='358.47' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='461.77' cy='397.65' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='459.53' y1='397.65' x2='464.01' y2='397.65' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='461.77' y1='399.89' x2='461.77' y2='395.41' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='445.87' cy='252.17' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='443.63' y1='252.17' x2='448.11' y2='252.17' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='445.87' y1='254.41' x2='445.87' y2='249.93' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='445.87' cy='338.36' r='2.24' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='443.63' y1='338.36' x2='448.11' y2='338.36' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='445.87' y1='340.60' x2='445.87' y2='336.12' style='stroke-width: 0.75; stroke: #61D04F;' />
+<polygon points='684.14,380.84 687.16,374.75 681.13,374.75 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='684.14,373.87 687.16,379.97 681.13,379.97 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='684.14,343.91 687.16,337.81 681.13,337.81 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='684.14,336.94 687.16,343.03 681.13,343.03 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='677.65,265.13 680.67,259.03 674.64,259.03 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='677.65,258.16 680.67,264.26 674.64,264.26 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='677.65,317.46 680.67,311.36 674.64,311.36 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='677.65,310.49 680.67,316.59 674.64,316.59 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='665.35,300.21 668.37,294.11 662.33,294.11 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='665.35,293.24 668.37,299.34 662.33,299.34 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='665.35,254.04 668.37,247.94 662.33,247.94 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='665.35,247.07 668.37,253.17 662.33,253.17 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='643.21,402.15 646.23,396.05 640.19,396.05 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='643.21,395.18 646.23,401.28 640.19,401.28 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='643.21,352.90 646.23,346.80 640.19,346.80 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='643.21,345.93 646.23,352.02 640.19,352.02 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='611.03,344.00 614.05,337.90 608.01,337.90 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='611.03,337.03 614.05,343.13 608.01,343.13 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='611.03,260.89 614.05,254.79 608.01,254.79 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='611.03,253.92 614.05,260.02 608.01,260.02 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='564.59,402.67 567.61,396.57 561.57,396.57 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='564.59,395.70 567.61,401.80 561.57,401.80 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='564.59,328.79 567.61,322.69 561.57,322.69 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='564.59,321.82 567.61,327.92 561.57,327.92 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='505.61,259.79 508.63,253.69 502.60,253.69 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='505.61,252.82 508.63,258.91 502.60,258.91 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='505.61,315.19 508.63,309.09 502.60,309.09 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='505.61,308.22 508.63,314.32 502.60,314.32 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='476.31,367.45 479.33,361.35 473.29,361.35 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='476.31,360.48 479.33,366.58 473.29,366.58 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='476.31,330.52 479.33,324.42 473.29,324.42 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='476.31,323.55 479.33,329.64 473.29,329.64 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='457.99,329.34 461.01,323.24 454.97,323.24 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='457.99,322.37 461.01,328.47 454.97,328.47 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='457.99,350.88 461.01,344.79 454.97,344.79 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='457.99,343.91 461.01,350.01 454.97,350.01 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<line x1='681.57' y1='348.83' x2='686.05' y2='348.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='683.81' y1='351.07' x2='683.81' y2='346.58' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='681.57' y='346.58' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='681.57' y1='358.06' x2='686.05' y2='358.06' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='683.81' y1='360.30' x2='683.81' y2='355.82' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='681.57' y='355.82' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='674.44' y1='404.24' x2='678.92' y2='404.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='676.68' y1='406.48' x2='676.68' y2='402.00' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='674.44' y='402.00' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='674.44' y1='339.60' x2='678.92' y2='339.60' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='676.68' y1='341.84' x2='676.68' y2='337.36' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='674.44' y='337.36' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='660.89' y1='295.51' x2='665.38' y2='295.51' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='663.14' y1='297.75' x2='663.14' y2='293.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='660.89' y='293.27' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='660.89' y1='292.43' x2='665.38' y2='292.43' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='663.14' y1='294.67' x2='663.14' y2='290.19' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='660.89' y='290.19' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='636.37' y1='225.05' x2='640.86' y2='225.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='638.61' y1='227.29' x2='638.61' y2='222.81' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='636.37' y='222.81' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='636.37' y1='292.77' x2='640.86' y2='292.77' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='638.61' y1='295.01' x2='638.61' y2='290.53' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='636.37' y='290.53' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='600.47' y1='425.06' x2='604.95' y2='425.06' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='602.71' y1='427.30' x2='602.71' y2='422.82' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='600.47' y='422.82' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='600.47' y1='317.32' x2='604.95' y2='317.32' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='602.71' y1='319.57' x2='602.71' y2='315.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='600.47' y='315.08' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='548.36' y1='337.66' x2='552.84' y2='337.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='550.60' y1='339.90' x2='550.60' y2='335.42' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='548.36' y='335.42' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='548.36' y1='276.10' x2='552.84' y2='276.10' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='550.60' y1='278.34' x2='550.60' y2='273.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='548.36' y='273.86' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='484.06' y1='455.88' x2='488.54' y2='455.88' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='486.30' y1='458.12' x2='486.30' y2='453.64' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='484.06' y='453.64' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='484.06' y1='311.21' x2='488.54' y2='311.21' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='486.30' y1='313.45' x2='486.30' y2='308.96' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='484.06' y='308.96' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='455.39' y1='327.85' x2='459.88' y2='327.85' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='457.64' y1='330.09' x2='457.64' y2='325.61' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='455.39' y='325.61' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='455.39' y1='318.62' x2='459.88' y2='318.62' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='457.64' y1='320.86' x2='457.64' y2='316.38' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='455.39' y='316.38' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='439.79' y1='265.98' x2='444.28' y2='265.98' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='442.04' y1='268.22' x2='442.04' y2='263.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='439.79' y='263.74' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='439.79' y1='330.62' x2='444.28' y2='330.62' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='442.04' y1='332.86' x2='442.04' y2='328.38' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='439.79' y='328.38' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<circle cx='684.31' cy='311.59' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='682.07' y1='313.83' x2='686.55' y2='309.35' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='682.07' y1='309.35' x2='686.55' y2='313.83' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='684.31' cy='367.00' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='682.07' y1='369.24' x2='686.55' y2='364.75' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='682.07' y1='364.75' x2='686.55' y2='369.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='674.73' cy='298.30' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='672.48' y1='300.54' x2='676.97' y2='296.06' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='672.48' y1='296.06' x2='676.97' y2='300.54' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='674.73' cy='245.97' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='672.48' y1='248.21' x2='676.97' y2='243.73' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='672.48' y1='243.73' x2='676.97' y2='248.21' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='656.95' cy='232.63' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='654.71' y1='234.88' x2='659.19' y2='230.39' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='654.71' y1='230.39' x2='659.19' y2='234.88' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='656.95' cy='331.14' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='654.71' y1='333.38' x2='659.19' y2='328.90' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='654.71' y1='328.90' x2='659.19' y2='333.38' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='626.28' cy='419.86' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='624.04' y1='422.10' x2='628.52' y2='417.61' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='624.04' y1='417.61' x2='628.52' y2='422.10' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='626.28' cy='312.12' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='624.04' y1='314.36' x2='628.52' y2='309.88' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='624.04' y1='309.88' x2='628.52' y2='314.36' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='584.83' cy='299.65' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='582.59' y1='301.89' x2='587.07' y2='297.41' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='582.59' y1='297.41' x2='587.07' y2='301.89' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='584.83' cy='305.81' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='582.59' y1='308.05' x2='587.07' y2='303.57' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='582.59' y1='303.57' x2='587.07' y2='308.05' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='531.56' cy='355.71' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='529.32' y1='357.95' x2='533.80' y2='353.47' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='529.32' y1='353.47' x2='533.80' y2='357.95' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='531.56' cy='380.33' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='529.32' y1='382.57' x2='533.80' y2='378.09' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='529.32' y1='378.09' x2='533.80' y2='382.57' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='474.54' cy='377.22' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='472.30' y1='379.46' x2='476.78' y2='374.98' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='472.30' y1='374.98' x2='476.78' y2='379.46' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='474.54' cy='272.56' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='472.30' y1='274.81' x2='476.78' y2='270.32' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='472.30' y1='270.32' x2='476.78' y2='274.81' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='450.43' cy='256.13' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='448.19' y1='258.37' x2='452.67' y2='253.89' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='448.19' y1='253.89' x2='452.67' y2='258.37' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='450.43' cy='391.57' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='448.19' y1='393.81' x2='452.67' y2='389.33' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='448.19' y1='389.33' x2='452.67' y2='393.81' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='437.29' cy='284.56' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='435.05' y1='286.80' x2='439.53' y2='282.32' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='435.05' y1='282.32' x2='439.53' y2='286.80' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='437.29' cy='376.90' r='2.24' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='435.05' y1='379.15' x2='439.53' y2='374.66' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='435.05' y1='374.66' x2='439.53' y2='379.15' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<polygon points='683.44,336.12 685.68,340.60 681.20,340.60 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='681.20' y='336.12' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='683.44,345.35 685.68,349.83 681.20,349.83 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='681.20' y='345.35' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='672.89,379.28 675.13,383.76 670.65,383.76 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='670.65' y='379.28' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='672.89,283.85 675.13,288.33 670.65,288.33 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='670.65' y='283.85' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='653.55,369.27 655.79,373.75 651.31,373.75 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='651.31' y='369.27' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='653.55,360.03 655.79,364.51 651.31,364.51 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='651.31' y='360.03' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='620.91,314.96 623.15,319.45 618.67,319.45 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='618.67' y='314.96' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='620.91,342.67 623.15,347.15 618.67,347.15 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='618.67' y='342.67' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='578.30,304.39 580.54,308.87 576.06,308.87 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='576.06' y='304.39' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='578.30,365.95 580.54,370.43 576.06,370.43 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='576.06' y='365.95' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='525.94,312.56 528.18,317.04 523.70,317.04 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='523.70' y='312.56' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='525.94,266.39 528.18,270.87 523.70,270.87 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='523.70' y='266.39' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='471.39,369.01 473.63,373.49 469.15,373.49 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='469.15' y='369.01' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='471.39,341.31 473.63,345.79 469.15,345.79 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='469.15' y='341.31' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='448.11,334.56 450.35,339.04 445.87,339.04 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='445.87' y='334.56' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='448.11,319.17 450.35,323.65 445.87,323.65 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='445.87' y='319.17' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='435.51,313.89 437.75,318.37 433.27,318.37 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='433.27' y='313.89' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='435.51,366.22 437.75,370.70 433.27,370.70 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='433.27' y='366.22' width='4.48' height='4.48' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='681.31,323.48 685.80,323.48 685.80,319.00 681.31,319.00 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='681.31,301.93 685.80,301.93 685.80,297.45 681.31,297.45 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='670.56,475.15 675.05,475.15 675.05,470.67 670.56,470.67 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='670.56,296.61 675.05,296.61 675.05,292.13 670.56,292.13 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='651.39,288.45 655.87,288.45 655.87,283.97 651.39,283.97 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='651.39,368.49 655.87,368.49 655.87,364.00 651.39,364.00 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='620.58,415.54 625.06,415.54 625.06,411.06 620.58,411.06 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='620.58,295.49 625.06,295.49 625.06,291.01 620.58,291.01 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='583.27,365.26 587.75,365.26 587.75,360.78 583.27,360.78 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='583.27,288.31 587.75,288.31 587.75,283.82 583.27,283.82 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='540.82,304.27 545.30,304.27 545.30,299.79 540.82,299.79 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='540.82,304.27 545.30,304.27 545.30,299.79 540.82,299.79 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='493.65,456.00 498.13,456.00 498.13,451.52 493.65,451.52 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='493.65,194.36 498.13,194.36 498.13,189.88 493.65,189.88 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='468.09,355.01 472.57,355.01 472.57,350.53 468.09,350.53 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='468.09,339.62 472.57,339.62 472.57,335.14 468.09,335.14 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='451.21,367.50 455.69,367.50 455.69,363.01 451.21,363.01 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='451.21,296.70 455.69,296.70 455.69,292.22 451.21,292.22 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
 </g>
 <defs>
   <clipPath id='cpNTkuMDR8Njg5Ljc2fDU5LjA0fDUwMi41Ng=='>
diff --git a/tests/testthat/_snaps/plot/mixed-model-fit-for-saem-object-with-mkin-transformations.svg b/tests/testthat/_snaps/plot/mixed-model-fit-for-saem-object-with-mkin-transformations.svg
new file mode 100644
index 00000000..6346a383
--- /dev/null
+++ b/tests/testthat/_snaps/plot/mixed-model-fit-for-saem-object-with-mkin-transformations.svg
@@ -0,0 +1,2488 @@
+<?xml version='1.0' encoding='UTF-8' ?>
+<svg xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' class='svglite' data-engine-version='2.0' width='720.00pt' height='576.00pt' viewBox='0 0 720.00 576.00'>
+<defs>
+  <style type='text/css'><![CDATA[
+    .svglite line, .svglite polyline, .svglite polygon, .svglite path, .svglite rect, .svglite circle {
+      fill: none;
+      stroke: #000000;
+      stroke-linecap: round;
+      stroke-linejoin: round;
+      stroke-miterlimit: 10.00;
+    }
+  ]]></style>
+</defs>
+<rect width='100%' height='100%' style='stroke: none; fill: #FFFFFF;'/>
+<defs>
+  <clipPath id='cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA='>
+    <rect x='0.00' y='0.00' width='720.00' height='576.00' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
+</g>
+<defs>
+  <clipPath id='cpMTkuOTZ8NzAwLjA0fDAuOTV8NzEuMDU='>
+    <rect x='19.96' y='0.95' width='680.08' height='70.10' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMTkuOTZ8NzAwLjA0fDAuOTV8NzEuMDU=)'>
+<line x1='238.45' y1='21.74' x2='252.70' y2='21.74' style='stroke-width: 1.50;' />
+<line x1='238.45' y1='31.25' x2='252.70' y2='31.25' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 4.00,4.00;' />
+<line x1='238.45' y1='40.75' x2='252.70' y2='40.75' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 1.00,3.00;' />
+<line x1='238.45' y1='50.26' x2='252.70' y2='50.26' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<line x1='299.40' y1='21.74' x2='313.66' y2='21.74' style='stroke-width: 0.75; stroke: #28E2E5; stroke-dasharray: 7.00,3.00;' />
+<line x1='299.40' y1='31.25' x2='313.66' y2='31.25' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+<line x1='299.40' y1='40.75' x2='313.66' y2='40.75' style='stroke-width: 0.75; stroke: #F5C710;' />
+<line x1='299.40' y1='50.26' x2='313.66' y2='50.26' style='stroke-width: 0.75; stroke: #9E9E9E; stroke-dasharray: 4.00,4.00;' />
+<line x1='360.36' y1='21.74' x2='374.61' y2='21.74' style='stroke-width: 0.75; stroke-dasharray: 1.00,3.00;' />
+<line x1='360.36' y1='31.25' x2='374.61' y2='31.25' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<line x1='360.36' y1='40.75' x2='374.61' y2='40.75' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 7.00,3.00;' />
+<line x1='360.36' y1='50.26' x2='374.61' y2='50.26' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+<line x1='421.31' y1='21.74' x2='435.57' y2='21.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='421.31' y1='31.25' x2='435.57' y2='31.25' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 4.00,4.00;' />
+<line x1='421.31' y1='40.75' x2='435.57' y2='40.75' style='stroke-width: 0.75; stroke: #F5C710; stroke-dasharray: 1.00,3.00;' />
+<line x1='421.31' y1='50.26' x2='435.57' y2='50.26' style='stroke-width: 0.75; stroke: #9E9E9E; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<circle cx='245.58' cy='31.25' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='245.58,37.98 247.98,42.14 243.18,42.14 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<line x1='243.06' y1='50.26' x2='248.10' y2='50.26' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='245.58' y1='52.78' x2='245.58' y2='47.74' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='304.75' y1='23.53' x2='308.31' y2='19.96' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='304.75' y1='19.96' x2='308.31' y2='23.53' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polygon points='304.01,31.25 306.53,28.73 309.05,31.25 306.53,33.77 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='306.53,43.52 308.93,39.37 304.13,39.37 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='304.75' y='48.47' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='304.75' y1='52.04' x2='308.31' y2='48.47' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='304.75' y1='48.47' x2='308.31' y2='52.04' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='365.70' y1='23.53' x2='369.27' y2='19.96' style='stroke-width: 0.75;' />
+<line x1='365.70' y1='19.96' x2='369.27' y2='23.53' style='stroke-width: 0.75;' />
+<line x1='364.96' y1='21.74' x2='370.00' y2='21.74' style='stroke-width: 0.75;' />
+<line x1='367.48' y1='24.26' x2='367.48' y2='19.22' style='stroke-width: 0.75;' />
+<line x1='364.96' y1='31.25' x2='370.00' y2='31.25' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='367.48' y1='33.77' x2='367.48' y2='28.73' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='364.96,31.25 367.48,28.73 370.00,31.25 367.48,33.77 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<circle cx='367.48' cy='40.75' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='365.70' y1='40.75' x2='369.27' y2='40.75' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='367.48' y1='42.53' x2='367.48' y2='38.97' style='stroke-width: 0.75; stroke: #61D04F;' />
+<polygon points='367.48,53.03 369.88,48.18 365.08,48.18 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='367.48,47.48 369.88,52.33 365.08,52.33 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<line x1='426.66' y1='21.74' x2='430.22' y2='21.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='428.44' y1='23.53' x2='428.44' y2='19.96' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='426.66' y='19.96' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<circle cx='428.44' cy='31.25' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='426.66' y1='33.03' x2='430.22' y2='29.47' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='426.66' y1='29.47' x2='430.22' y2='33.03' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<polygon points='428.44,38.97 430.22,42.53 426.66,42.53 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='426.66' y='38.97' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='426.66,52.04 430.22,52.04 430.22,48.47 426.66,48.47 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<text x='259.83' y='24.47' style='font-size: 7.92px; font-family: sans;' textLength='37.43px' lengthAdjust='spacingAndGlyphs'>Population</text>
+<text x='259.83' y='33.97' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>1</text>
+<text x='259.83' y='43.48' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>2</text>
+<text x='259.83' y='52.98' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>3</text>
+<text x='320.79' y='24.47' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>4</text>
+<text x='320.79' y='33.97' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>5</text>
+<text x='320.79' y='43.48' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>6</text>
+<text x='320.79' y='52.98' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>7</text>
+<text x='381.74' y='24.47' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>8</text>
+<text x='381.74' y='33.97' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>9</text>
+<text x='381.74' y='43.48' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>10</text>
+<text x='381.74' y='52.98' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>11</text>
+<text x='442.69' y='24.47' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>12</text>
+<text x='442.69' y='33.97' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>13</text>
+<text x='442.69' y='43.48' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>14</text>
+<text x='442.69' y='52.98' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>15</text>
+</g>
+<defs>
+  <clipPath id='cpMzguOTd8MzQwLjA0fDgyLjQ1fDI4My40OQ=='>
+    <rect x='38.97' y='82.45' width='301.08' height='201.03' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzguOTd8MzQwLjA0fDgyLjQ1fDI4My40OQ==)'>
+<polyline points='50.12,110.88 52.44,115.02 55.81,120.83 57.09,122.98 61.50,130.16 66.38,137.69 67.19,138.89 72.87,147.08 78.56,154.76 82.64,159.96 84.25,161.95 89.94,168.70 95.63,175.03 101.32,180.96 107.01,186.53 112.70,191.76 115.16,193.92 118.39,196.67 124.08,201.27 129.77,205.60 135.46,209.66 141.15,213.48 146.83,217.06 152.52,220.43 158.21,223.60 163.90,226.58 169.59,229.38 175.28,232.01 180.97,234.49 186.66,236.82 189.50,237.93 192.35,239.01 198.04,241.08 203.73,243.02 209.42,244.85 215.11,246.57 220.79,248.20 226.48,249.73 232.17,251.17 237.86,252.52 243.55,253.81 249.24,255.01 254.93,256.15 259.20,256.96 260.62,257.23 266.31,258.24 272.00,259.20 277.69,260.10 283.38,260.95 289.07,261.75 294.76,262.51 300.44,263.23 306.13,263.91 311.82,264.55 317.51,265.15 323.20,265.72 328.89,266.26 ' style='stroke-width: 1.50;' />
+</g>
+<g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
+<line x1='50.12' y1='283.49' x2='328.89' y2='283.49' style='stroke-width: 0.75;' />
+<line x1='50.12' y1='283.49' x2='50.12' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='96.58' y1='283.49' x2='96.58' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='143.04' y1='283.49' x2='143.04' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='189.50' y1='283.49' x2='189.50' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='235.97' y1='283.49' x2='235.97' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='282.43' y1='283.49' x2='282.43' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='328.89' y1='283.49' x2='328.89' y2='288.24' style='stroke-width: 0.75;' />
+<text x='50.12' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text x='96.58' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text x='143.04' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>40</text>
+<text x='189.50' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>60</text>
+<text x='235.97' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>80</text>
+<text x='282.43' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>100</text>
+<text x='328.89' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>120</text>
+<line x1='38.97' y1='276.04' x2='38.97' y2='111.75' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='276.04' x2='34.21' y2='276.04' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='243.18' x2='34.21' y2='243.18' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='210.33' x2='34.21' y2='210.33' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='177.47' x2='34.21' y2='177.47' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='144.61' x2='34.21' y2='144.61' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='111.75' x2='34.21' y2='111.75' style='stroke-width: 0.75;' />
+<text transform='translate(27.56,276.04) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text transform='translate(27.56,243.18) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text transform='translate(27.56,210.33) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>40</text>
+<text transform='translate(27.56,177.47) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>60</text>
+<text transform='translate(27.56,144.61) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>80</text>
+<text transform='translate(27.56,111.75) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>100</text>
+<polygon points='38.97,283.49 340.04,283.49 340.04,82.45 38.97,82.45 ' style='stroke-width: 0.75; fill: none;' />
+</g>
+<defs>
+  <clipPath id='cpMC4wMHwzNjAuMDB8NzIuMDB8MzEyLjAw'>
+    <rect x='0.00' y='72.00' width='360.00' height='240.00' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMC4wMHwzNjAuMDB8NzIuMDB8MzEyLjAw)'>
+<text x='189.50' y='319.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='17.60px' lengthAdjust='spacingAndGlyphs'>Time</text>
+<text transform='translate(8.55,182.97) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='57.68px' lengthAdjust='spacingAndGlyphs'>Residues parent</text>
+</g>
+<g clip-path='url(#cpMzguOTd8MzQwLjA0fDgyLjQ1fDI4My40OQ==)'>
+<circle cx='50.12' cy='104.69' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='50.12' cy='114.05' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='52.44' cy='119.97' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='52.44' cy='116.52' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='57.09' cy='109.94' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='57.09' cy='120.79' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='66.38' cy='135.08' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='66.38' cy='127.03' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='82.64' cy='159.89' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='82.64' cy='168.92' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='115.16' cy='198.83' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='115.16' cy='199.32' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='189.50' cy='224.45' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='189.50' cy='220.68' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='259.20' cy='236.12' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='259.20' cy='238.58' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='328.89' cy='250.25' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='328.89' cy='246.63' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polyline points='50.12,109.02 52.44,114.01 55.81,120.87 57.09,123.36 61.50,131.50 66.38,139.75 67.19,141.04 72.87,149.62 78.56,157.34 82.64,162.40 84.25,164.30 89.94,170.59 95.63,176.29 101.32,181.45 107.01,186.15 112.70,190.43 115.16,192.16 118.39,194.33 124.08,197.91 129.77,201.19 135.46,204.20 141.15,206.98 146.83,209.55 152.52,211.94 158.21,214.15 163.90,216.22 169.59,218.15 175.28,219.95 180.97,221.65 186.66,223.25 189.50,224.02 192.35,224.76 198.04,226.19 203.73,227.55 209.42,228.84 215.11,230.06 220.79,231.24 226.48,232.36 232.17,233.43 237.86,234.47 243.55,235.46 249.24,236.41 254.93,237.34 259.20,238.01 260.62,238.23 266.31,239.09 272.00,239.92 277.69,240.73 283.38,241.51 289.07,242.27 294.76,243.01 300.44,243.73 306.13,244.42 311.82,245.10 317.51,245.77 323.20,246.41 328.89,247.04 ' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 4.00,4.00;' />
+<polygon points='50.12,95.84 52.52,99.99 47.72,99.99 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='50.12,100.44 52.52,104.59 47.72,104.59 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='52.44,104.87 54.84,109.03 50.04,109.03 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='52.44,122.45 54.84,126.61 50.04,126.61 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='57.09,130.01 59.49,134.17 54.69,134.17 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='57.09,114.07 59.49,118.23 54.69,118.23 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='66.38,135.10 68.78,139.26 63.98,139.26 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='66.38,142.66 68.78,146.82 63.98,146.82 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='82.64,156.13 85.04,160.29 80.24,160.29 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='82.64,160.07 85.04,164.23 80.24,164.23 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='115.16,189.98 117.56,194.13 112.76,194.13 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='115.16,186.03 117.56,190.19 112.76,190.19 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='189.50,214.29 191.90,218.45 187.10,218.45 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='189.50,221.68 191.90,225.84 187.10,225.84 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='259.20,237.13 261.60,241.28 256.80,241.28 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='259.20,233.68 261.60,237.83 256.80,237.83 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='328.89,241.23 331.29,245.39 326.49,245.39 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='328.89,238.61 331.29,242.76 326.49,242.76 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polyline points='50.12,109.59 52.44,114.50 55.81,121.21 57.09,123.65 61.50,131.60 66.38,139.65 67.19,140.91 72.87,149.25 78.56,156.75 82.64,161.66 84.25,163.50 89.94,169.59 95.63,175.10 101.32,180.09 107.01,184.63 112.70,188.76 115.16,190.44 118.39,192.54 124.08,195.99 129.77,199.17 135.46,202.09 141.15,204.79 146.83,207.29 152.52,209.62 158.21,211.78 163.90,213.81 169.59,215.70 175.28,217.49 180.97,219.17 186.66,220.75 189.50,221.52 192.35,222.26 198.04,223.69 203.73,225.05 209.42,226.34 215.11,227.58 220.79,228.77 226.48,229.91 232.17,231.00 237.86,232.06 243.55,233.08 249.24,234.06 254.93,235.01 259.20,235.70 260.62,235.93 266.31,236.82 272.00,237.68 277.69,238.52 283.38,239.34 289.07,240.13 294.76,240.91 300.44,241.66 306.13,242.39 311.82,243.10 317.51,243.80 323.20,244.48 328.89,245.14 ' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 1.00,3.00;' />
+<line x1='47.60' y1='126.87' x2='52.64' y2='126.87' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='50.12' y1='129.39' x2='50.12' y2='124.35' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='47.60' y1='108.14' x2='52.64' y2='108.14' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='50.12' y1='110.66' x2='50.12' y2='105.62' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='49.92' y1='127.85' x2='54.96' y2='127.85' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='52.44' y1='130.37' x2='52.44' y2='125.33' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='49.92' y1='108.30' x2='54.96' y2='108.30' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='52.44' y1='110.82' x2='52.44' y2='105.78' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='54.57' y1='129.82' x2='59.61' y2='129.82' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='57.09' y1='132.34' x2='57.09' y2='127.30' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='54.57' y1='123.74' x2='59.61' y2='123.74' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='57.09' y1='126.26' x2='57.09' y2='121.22' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='63.86' y1='149.87' x2='68.90' y2='149.87' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='66.38' y1='152.39' x2='66.38' y2='147.35' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='63.86' y1='155.12' x2='68.90' y2='155.12' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='66.38' y1='157.64' x2='66.38' y2='152.60' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='80.12' y1='153.15' x2='85.16' y2='153.15' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='82.64' y1='155.67' x2='82.64' y2='150.63' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='80.12' y1='164.49' x2='85.16' y2='164.49' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='82.64' y1='167.01' x2='82.64' y2='161.97' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='112.64' y1='198.00' x2='117.68' y2='198.00' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='115.16' y1='200.52' x2='115.16' y2='195.48' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='112.64' y1='188.47' x2='117.68' y2='188.47' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='115.16' y1='191.00' x2='115.16' y2='185.95' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='186.98' y1='231.52' x2='192.02' y2='231.52' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='189.50' y1='234.04' x2='189.50' y2='229.00' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='186.98' y1='228.23' x2='192.02' y2='228.23' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='189.50' y1='230.75' x2='189.50' y2='225.71' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='256.68' y1='244.01' x2='261.72' y2='244.01' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='259.20' y1='246.53' x2='259.20' y2='241.49' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='256.68' y1='244.99' x2='261.72' y2='244.99' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='259.20' y1='247.51' x2='259.20' y2='242.47' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='326.37' y1='255.34' x2='331.41' y2='255.34' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='328.89' y1='257.86' x2='328.89' y2='252.82' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='326.37' y1='256.82' x2='331.41' y2='256.82' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='328.89' y1='259.34' x2='328.89' y2='254.30' style='stroke-width: 0.75; stroke: #2297E6;' />
+<polyline points='50.12,113.26 52.44,117.87 55.81,124.23 57.09,126.55 61.50,134.20 66.38,142.04 67.19,143.28 72.87,151.55 78.56,159.10 82.64,164.11 84.25,166.01 89.94,172.33 95.63,178.12 101.32,183.44 107.01,188.33 112.70,192.83 115.16,194.68 118.39,196.99 124.08,200.83 129.77,204.39 135.46,207.68 141.15,210.74 146.83,213.59 152.52,216.25 158.21,218.73 163.90,221.06 169.59,223.23 175.28,225.28 180.97,227.20 186.66,229.01 189.50,229.88 192.35,230.73 198.04,232.34 203.73,233.87 209.42,235.33 215.11,236.71 220.79,238.02 226.48,239.27 232.17,240.46 237.86,241.60 243.55,242.69 249.24,243.73 254.93,244.73 259.20,245.45 260.62,245.69 266.31,246.61 272.00,247.49 277.69,248.34 283.38,249.16 289.07,249.95 294.76,250.71 300.44,251.44 306.13,252.15 311.82,252.84 317.51,253.50 323.20,254.14 328.89,254.76 ' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<line x1='48.34' y1='121.58' x2='51.90' y2='118.02' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='48.34' y1='118.02' x2='51.90' y2='121.58' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='48.34' y1='103.02' x2='51.90' y2='99.45' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='48.34' y1='99.45' x2='51.90' y2='103.02' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.66' y1='125.03' x2='54.22' y2='121.47' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.66' y1='121.47' x2='54.22' y2='125.03' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.66' y1='115.83' x2='54.22' y2='112.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.66' y1='112.27' x2='54.22' y2='115.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='126.84' x2='58.87' y2='123.28' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='123.28' x2='58.87' y2='126.84' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='129.96' x2='58.87' y2='126.40' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='126.40' x2='58.87' y2='129.96' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='142.94' x2='68.16' y2='139.38' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='139.38' x2='68.16' y2='142.94' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='143.93' x2='68.16' y2='140.36' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='140.36' x2='68.16' y2='143.93' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='168.41' x2='84.42' y2='164.84' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='164.84' x2='84.42' y2='168.41' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='156.74' x2='84.42' y2='153.18' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='153.18' x2='84.42' y2='156.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='195.84' x2='116.95' y2='192.28' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='192.28' x2='116.95' y2='195.84' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='194.69' x2='116.95' y2='191.13' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='191.13' x2='116.95' y2='194.69' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='229.85' x2='191.29' y2='226.29' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='226.29' x2='191.29' y2='229.85' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='237.57' x2='191.29' y2='234.01' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='234.01' x2='191.29' y2='237.57' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='256.30' x2='260.98' y2='252.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='252.74' x2='260.98' y2='256.30' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='255.81' x2='260.98' y2='252.25' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='252.25' x2='260.98' y2='255.81' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='263.20' x2='330.67' y2='259.64' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='259.64' x2='330.67' y2='263.20' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='260.57' x2='330.67' y2='257.01' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='257.01' x2='330.67' y2='260.57' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polyline points='50.12,112.08 52.44,116.27 55.81,122.12 57.09,124.28 61.50,131.44 66.38,138.92 67.19,140.11 72.87,148.17 78.56,155.67 82.64,160.72 84.25,162.65 89.94,169.16 95.63,175.22 101.32,180.88 107.01,186.16 112.70,191.10 115.16,193.13 118.39,195.71 124.08,200.03 129.77,204.07 135.46,207.85 141.15,211.40 146.83,214.72 152.52,217.85 158.21,220.78 163.90,223.54 169.59,226.14 175.28,228.58 180.97,230.88 186.66,233.05 189.50,234.09 192.35,235.09 198.04,237.02 203.73,238.85 209.42,240.57 215.11,242.20 220.79,243.74 226.48,245.20 232.17,246.58 237.86,247.90 243.55,249.14 249.24,250.32 254.93,251.44 259.20,252.24 260.62,252.50 266.31,253.52 272.00,254.48 277.69,255.39 283.38,256.27 289.07,257.10 294.76,257.89 300.44,258.64 306.13,259.36 311.82,260.05 317.51,260.70 323.20,261.33 328.89,261.92 ' style='stroke-width: 0.75; stroke: #28E2E5; stroke-dasharray: 7.00,3.00;' />
+<polygon points='47.60,102.06 50.12,99.54 52.64,102.06 50.12,104.58 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='47.60,118.49 50.12,115.97 52.64,118.49 50.12,121.01 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='49.92,113.07 52.44,110.55 54.96,113.07 52.44,115.59 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='49.92,135.24 52.44,132.72 54.96,135.24 52.44,137.76 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='54.57,135.08 57.09,132.56 59.61,135.08 57.09,137.60 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='54.57,129.82 57.09,127.30 59.61,129.82 57.09,132.34 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='63.86,151.67 66.38,149.15 68.90,151.67 66.38,154.19 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='63.86,147.24 66.38,144.72 68.90,147.24 66.38,149.76 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='80.12,180.10 82.64,177.58 85.16,180.10 82.64,182.62 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='80.12,176.97 82.64,174.45 85.16,176.97 82.64,179.49 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='112.64,203.43 115.16,200.91 117.68,203.43 115.16,205.95 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='112.64,197.68 115.16,195.16 117.68,197.68 115.16,200.20 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='186.98,230.70 189.50,228.18 192.02,230.70 189.50,233.22 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='186.98,224.29 189.50,221.77 192.02,224.29 189.50,226.81 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='256.68,240.88 259.20,238.36 261.72,240.88 259.20,243.40 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='256.68,241.05 259.20,238.53 261.72,241.05 259.20,243.57 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='326.37,253.53 328.89,251.01 331.41,253.53 328.89,256.05 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='326.37,252.71 328.89,250.19 331.41,252.71 328.89,255.23 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polyline points='50.12,112.03 52.44,118.78 55.81,127.79 57.09,130.99 61.50,141.17 66.38,151.06 67.19,152.57 72.87,162.31 78.56,170.68 82.64,175.95 84.25,177.88 89.94,184.12 95.63,189.54 101.32,194.29 107.01,198.46 112.70,202.16 115.16,203.63 118.39,205.44 124.08,208.39 129.77,211.05 135.46,213.46 141.15,215.66 146.83,217.69 152.52,219.56 158.21,221.30 163.90,222.93 169.59,224.45 175.28,225.90 180.97,227.26 186.66,228.56 189.50,229.19 192.35,229.80 198.04,230.99 203.73,232.13 209.42,233.23 215.11,234.28 220.79,235.31 226.48,236.29 232.17,237.25 237.86,238.18 243.55,239.08 249.24,239.96 254.93,240.81 259.20,241.43 260.62,241.64 266.31,242.44 272.00,243.23 277.69,244.00 283.38,244.74 289.07,245.47 294.76,246.18 300.44,246.88 306.13,247.55 311.82,248.21 317.51,248.86 323.20,249.49 328.89,250.10 ' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+<polygon points='50.12,119.94 52.52,115.79 47.72,115.79 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='50.12,114.85 52.52,110.69 47.72,110.69 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='52.44,110.58 54.84,106.42 50.04,106.42 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='52.44,117.32 54.84,113.16 50.04,113.16 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='57.09,125.69 59.49,121.54 54.69,121.54 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='57.09,120.27 59.49,116.12 54.69,116.12 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='66.38,155.10 68.78,150.95 63.98,150.95 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='66.38,149.68 68.78,145.52 63.98,145.52 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='82.64,170.55 85.04,166.39 80.24,166.39 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='82.64,162.66 85.04,158.50 80.24,158.50 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='115.16,200.28 117.56,196.13 112.76,196.13 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='115.16,194.86 117.56,190.70 112.76,190.70 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='189.50,216.05 191.90,211.90 187.10,211.90 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='189.50,219.18 191.90,215.02 187.10,215.02 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='259.20,234.45 261.60,230.30 256.80,230.30 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='259.20,232.65 261.60,228.49 256.80,228.49 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='328.89,242.34 331.29,238.18 326.49,238.18 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='328.89,243.16 331.29,239.01 326.49,239.01 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polyline points='50.12,110.60 52.44,116.03 55.81,123.40 57.09,126.06 61.50,134.62 66.38,143.15 67.19,144.47 72.87,153.13 78.56,160.76 82.64,165.67 84.25,167.50 89.94,173.46 95.63,178.75 101.32,183.45 107.01,187.65 112.70,191.41 115.16,192.91 118.39,194.78 124.08,197.82 129.77,200.58 135.46,203.08 141.15,205.35 146.83,207.44 152.52,209.36 158.21,211.13 163.90,212.77 169.59,214.30 175.28,215.73 180.97,217.07 186.66,218.34 189.50,218.94 192.35,219.53 198.04,220.67 203.73,221.75 209.42,222.78 215.11,223.77 220.79,224.72 226.48,225.63 232.17,226.52 237.86,227.37 243.55,228.20 249.24,229.00 254.93,229.78 259.20,230.35 260.62,230.54 266.31,231.28 272.00,232.01 277.69,232.71 283.38,233.40 289.07,234.08 294.76,234.74 300.44,235.39 306.13,236.03 311.82,236.65 317.51,237.27 323.20,237.87 328.89,238.46 ' style='stroke-width: 0.75; stroke: #F5C710;' />
+<rect x='48.34' y='106.03' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='48.34' y1='109.59' x2='51.90' y2='106.03' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='48.34' y1='106.03' x2='51.90' y2='109.59' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='48.34' y='113.75' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='48.34' y1='117.31' x2='51.90' y2='113.75' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='48.34' y1='113.75' x2='51.90' y2='117.31' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='50.66' y='113.42' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='50.66' y1='116.98' x2='54.22' y2='113.42' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='50.66' y1='113.42' x2='54.22' y2='116.98' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='50.66' y='106.85' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='50.66' y1='110.41' x2='54.22' y2='106.85' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='50.66' y1='106.85' x2='54.22' y2='110.41' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='55.30' y='122.13' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='55.30' y1='125.69' x2='58.87' y2='122.13' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='55.30' y1='122.13' x2='58.87' y2='125.69' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='55.30' y='133.79' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='55.30' y1='137.36' x2='58.87' y2='133.79' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='55.30' y1='133.79' x2='58.87' y2='137.36' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='64.60' y='167.80' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='64.60' y1='171.36' x2='68.16' y2='167.80' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='64.60' y1='167.80' x2='68.16' y2='171.36' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='64.60' y='156.96' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='64.60' y1='160.52' x2='68.16' y2='156.96' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='64.60' y1='156.96' x2='68.16' y2='160.52' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='80.86' y='186.53' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='80.86' y1='190.09' x2='84.42' y2='186.53' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='80.86' y1='186.53' x2='84.42' y2='190.09' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='80.86' y='186.69' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='80.86' y1='190.26' x2='84.42' y2='186.69' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='80.86' y1='186.69' x2='84.42' y2='190.26' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='113.38' y='221.52' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='113.38' y1='225.09' x2='116.95' y2='221.52' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='113.38' y1='221.52' x2='116.95' y2='225.09' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='113.38' y='222.84' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='113.38' y1='226.40' x2='116.95' y2='222.84' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='113.38' y1='222.84' x2='116.95' y2='226.40' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='187.72' y='247.97' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='187.72' y1='251.54' x2='191.29' y2='247.97' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='187.72' y1='247.97' x2='191.29' y2='251.54' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='187.72' y='244.36' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='187.72' y1='247.92' x2='191.29' y2='244.36' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='187.72' y1='244.36' x2='191.29' y2='247.92' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='257.42' y='254.55' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='257.42' y1='258.11' x2='260.98' y2='254.55' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='257.42' y1='254.55' x2='260.98' y2='258.11' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='257.42' y='258.65' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='257.42' y1='262.22' x2='260.98' y2='258.65' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='257.42' y1='258.65' x2='260.98' y2='262.22' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='327.11' y='261.77' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='327.11' y1='265.34' x2='330.67' y2='261.77' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='327.11' y1='261.77' x2='330.67' y2='265.34' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='327.11' y='264.24' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='327.11' y1='267.80' x2='330.67' y2='264.24' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='327.11' y1='264.24' x2='330.67' y2='267.80' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<polyline points='50.12,109.54 52.44,118.50 55.81,130.27 57.09,134.41 61.50,147.38 66.38,159.72 67.19,161.58 72.87,173.42 78.56,183.37 82.64,189.53 84.25,191.78 89.94,198.94 95.63,205.08 101.32,210.39 107.01,215.01 112.70,219.08 115.16,220.69 118.39,222.68 124.08,225.90 129.77,228.79 135.46,231.41 141.15,233.80 146.83,235.99 152.52,238.01 158.21,239.89 163.90,241.64 169.59,243.27 175.28,244.80 180.97,246.24 186.66,247.60 189.50,248.25 192.35,248.89 198.04,250.10 203.73,251.26 209.42,252.36 215.11,253.40 220.79,254.40 226.48,255.34 232.17,256.25 237.86,257.11 243.55,257.93 249.24,258.71 254.93,259.47 259.20,260.01 260.62,260.18 266.31,260.87 272.00,261.52 277.69,262.15 283.38,262.75 289.07,263.32 294.76,263.87 300.44,264.39 306.13,264.89 311.82,265.37 317.51,265.83 323.20,266.27 328.89,266.69 ' style='stroke-width: 0.75; stroke: #9E9E9E; stroke-dasharray: 4.00,4.00;' />
+<line x1='48.34' y1='112.38' x2='51.90' y2='108.82' style='stroke-width: 0.75;' />
+<line x1='48.34' y1='108.82' x2='51.90' y2='112.38' style='stroke-width: 0.75;' />
+<line x1='47.60' y1='110.60' x2='52.64' y2='110.60' style='stroke-width: 0.75;' />
+<line x1='50.12' y1='113.12' x2='50.12' y2='108.08' style='stroke-width: 0.75;' />
+<line x1='48.34' y1='109.26' x2='51.90' y2='105.70' style='stroke-width: 0.75;' />
+<line x1='48.34' y1='105.70' x2='51.90' y2='109.26' style='stroke-width: 0.75;' />
+<line x1='47.60' y1='107.48' x2='52.64' y2='107.48' style='stroke-width: 0.75;' />
+<line x1='50.12' y1='110.00' x2='50.12' y2='104.96' style='stroke-width: 0.75;' />
+<line x1='50.66' y1='142.45' x2='54.22' y2='138.88' style='stroke-width: 0.75;' />
+<line x1='50.66' y1='138.88' x2='54.22' y2='142.45' style='stroke-width: 0.75;' />
+<line x1='49.92' y1='140.67' x2='54.96' y2='140.67' style='stroke-width: 0.75;' />
+<line x1='52.44' y1='143.19' x2='52.44' y2='138.15' style='stroke-width: 0.75;' />
+<line x1='50.66' y1='119.61' x2='54.22' y2='116.05' style='stroke-width: 0.75;' />
+<line x1='50.66' y1='116.05' x2='54.22' y2='119.61' style='stroke-width: 0.75;' />
+<line x1='49.92' y1='117.83' x2='54.96' y2='117.83' style='stroke-width: 0.75;' />
+<line x1='52.44' y1='120.35' x2='52.44' y2='115.31' style='stroke-width: 0.75;' />
+<line x1='55.30' y1='137.19' x2='58.87' y2='133.63' style='stroke-width: 0.75;' />
+<line x1='55.30' y1='133.63' x2='58.87' y2='137.19' style='stroke-width: 0.75;' />
+<line x1='54.57' y1='135.41' x2='59.61' y2='135.41' style='stroke-width: 0.75;' />
+<line x1='57.09' y1='137.93' x2='57.09' y2='132.89' style='stroke-width: 0.75;' />
+<line x1='55.30' y1='146.06' x2='58.87' y2='142.50' style='stroke-width: 0.75;' />
+<line x1='55.30' y1='142.50' x2='58.87' y2='146.06' style='stroke-width: 0.75;' />
+<line x1='54.57' y1='144.28' x2='59.61' y2='144.28' style='stroke-width: 0.75;' />
+<line x1='57.09' y1='146.80' x2='57.09' y2='141.76' style='stroke-width: 0.75;' />
+<line x1='64.60' y1='175.64' x2='68.16' y2='172.07' style='stroke-width: 0.75;' />
+<line x1='64.60' y1='172.07' x2='68.16' y2='175.64' style='stroke-width: 0.75;' />
+<line x1='63.86' y1='173.85' x2='68.90' y2='173.85' style='stroke-width: 0.75;' />
+<line x1='66.38' y1='176.37' x2='66.38' y2='171.33' style='stroke-width: 0.75;' />
+<line x1='64.60' y1='164.46' x2='68.16' y2='160.90' style='stroke-width: 0.75;' />
+<line x1='64.60' y1='160.90' x2='68.16' y2='164.46' style='stroke-width: 0.75;' />
+<line x1='63.86' y1='162.68' x2='68.90' y2='162.68' style='stroke-width: 0.75;' />
+<line x1='66.38' y1='165.20' x2='66.38' y2='160.16' style='stroke-width: 0.75;' />
+<line x1='80.86' y1='197.32' x2='84.42' y2='193.76' style='stroke-width: 0.75;' />
+<line x1='80.86' y1='193.76' x2='84.42' y2='197.32' style='stroke-width: 0.75;' />
+<line x1='80.12' y1='195.54' x2='85.16' y2='195.54' style='stroke-width: 0.75;' />
+<line x1='82.64' y1='198.06' x2='82.64' y2='193.02' style='stroke-width: 0.75;' />
+<line x1='80.86' y1='191.74' x2='84.42' y2='188.17' style='stroke-width: 0.75;' />
+<line x1='80.86' y1='188.17' x2='84.42' y2='191.74' style='stroke-width: 0.75;' />
+<line x1='80.12' y1='189.95' x2='85.16' y2='189.95' style='stroke-width: 0.75;' />
+<line x1='82.64' y1='192.47' x2='82.64' y2='187.43' style='stroke-width: 0.75;' />
+<line x1='113.38' y1='217.04' x2='116.95' y2='213.47' style='stroke-width: 0.75;' />
+<line x1='113.38' y1='213.47' x2='116.95' y2='217.04' style='stroke-width: 0.75;' />
+<line x1='112.64' y1='215.25' x2='117.68' y2='215.25' style='stroke-width: 0.75;' />
+<line x1='115.16' y1='217.77' x2='115.16' y2='212.73' style='stroke-width: 0.75;' />
+<line x1='113.38' y1='217.04' x2='116.95' y2='213.47' style='stroke-width: 0.75;' />
+<line x1='113.38' y1='213.47' x2='116.95' y2='217.04' style='stroke-width: 0.75;' />
+<line x1='112.64' y1='215.25' x2='117.68' y2='215.25' style='stroke-width: 0.75;' />
+<line x1='115.16' y1='217.77' x2='115.16' y2='212.73' style='stroke-width: 0.75;' />
+<line x1='187.72' y1='243.82' x2='191.29' y2='240.25' style='stroke-width: 0.75;' />
+<line x1='187.72' y1='240.25' x2='191.29' y2='243.82' style='stroke-width: 0.75;' />
+<line x1='186.98' y1='242.03' x2='192.02' y2='242.03' style='stroke-width: 0.75;' />
+<line x1='189.50' y1='244.55' x2='189.50' y2='239.51' style='stroke-width: 0.75;' />
+<line x1='187.72' y1='233.14' x2='191.29' y2='229.57' style='stroke-width: 0.75;' />
+<line x1='187.72' y1='229.57' x2='191.29' y2='233.14' style='stroke-width: 0.75;' />
+<line x1='186.98' y1='231.36' x2='192.02' y2='231.36' style='stroke-width: 0.75;' />
+<line x1='189.50' y1='233.88' x2='189.50' y2='228.83' style='stroke-width: 0.75;' />
+<line x1='257.42' y1='250.55' x2='260.98' y2='246.99' style='stroke-width: 0.75;' />
+<line x1='257.42' y1='246.99' x2='260.98' y2='250.55' style='stroke-width: 0.75;' />
+<line x1='256.68' y1='248.77' x2='261.72' y2='248.77' style='stroke-width: 0.75;' />
+<line x1='259.20' y1='251.29' x2='259.20' y2='246.25' style='stroke-width: 0.75;' />
+<line x1='257.42' y1='249.89' x2='260.98' y2='246.33' style='stroke-width: 0.75;' />
+<line x1='257.42' y1='246.33' x2='260.98' y2='249.89' style='stroke-width: 0.75;' />
+<line x1='256.68' y1='248.11' x2='261.72' y2='248.11' style='stroke-width: 0.75;' />
+<line x1='259.20' y1='250.63' x2='259.20' y2='245.59' style='stroke-width: 0.75;' />
+<line x1='327.11' y1='258.60' x2='330.67' y2='255.04' style='stroke-width: 0.75;' />
+<line x1='327.11' y1='255.04' x2='330.67' y2='258.60' style='stroke-width: 0.75;' />
+<line x1='326.37' y1='256.82' x2='331.41' y2='256.82' style='stroke-width: 0.75;' />
+<line x1='328.89' y1='259.34' x2='328.89' y2='254.30' style='stroke-width: 0.75;' />
+<line x1='327.11' y1='256.47' x2='330.67' y2='252.90' style='stroke-width: 0.75;' />
+<line x1='327.11' y1='252.90' x2='330.67' y2='256.47' style='stroke-width: 0.75;' />
+<line x1='326.37' y1='254.68' x2='331.41' y2='254.68' style='stroke-width: 0.75;' />
+<line x1='328.89' y1='257.20' x2='328.89' y2='252.16' style='stroke-width: 0.75;' />
+<polyline points='50.12,110.27 52.44,122.13 55.81,136.74 57.09,141.62 61.50,155.99 66.38,168.40 67.19,170.16 72.87,180.75 78.56,188.82 82.64,193.47 84.25,195.10 89.94,200.11 95.63,204.21 101.32,207.66 107.01,210.63 112.70,213.25 115.16,214.30 118.39,215.61 124.08,217.77 129.77,219.77 135.46,221.65 141.15,223.43 146.83,225.12 152.52,226.74 158.21,228.30 163.90,229.80 169.59,231.24 175.28,232.63 180.97,233.98 186.66,235.28 189.50,235.92 192.35,236.55 198.04,237.77 203.73,238.95 209.42,240.10 215.11,241.21 220.79,242.28 226.48,243.32 232.17,244.33 237.86,245.31 243.55,246.26 249.24,247.18 254.93,248.07 259.20,248.72 260.62,248.93 266.31,249.77 272.00,250.58 277.69,251.36 283.38,252.12 289.07,252.86 294.76,253.58 300.44,254.27 306.13,254.94 311.82,255.59 317.51,256.22 323.20,256.83 328.89,257.43 ' style='stroke-width: 0.75; stroke-dasharray: 1.00,3.00;' />
+<line x1='47.60' y1='100.09' x2='52.64' y2='100.09' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='50.12' y1='102.61' x2='50.12' y2='97.57' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='47.60,100.09 50.12,97.57 52.64,100.09 50.12,102.61 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='47.60' y1='114.54' x2='52.64' y2='114.54' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='50.12' y1='117.06' x2='50.12' y2='112.02' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='47.60,114.54 50.12,112.02 52.64,114.54 50.12,117.06 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='49.92' y1='123.58' x2='54.96' y2='123.58' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='52.44' y1='126.10' x2='52.44' y2='121.06' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='49.92,123.58 52.44,121.06 54.96,123.58 52.44,126.10 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='49.92' y1='125.88' x2='54.96' y2='125.88' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='52.44' y1='128.40' x2='52.44' y2='123.36' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='49.92,125.88 52.44,123.36 54.96,125.88 52.44,128.40 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='54.57' y1='124.57' x2='59.61' y2='124.57' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='57.09' y1='127.09' x2='57.09' y2='122.05' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='54.57,124.57 57.09,122.05 59.61,124.57 57.09,127.09 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='54.57' y1='128.18' x2='59.61' y2='128.18' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='57.09' y1='130.70' x2='57.09' y2='125.66' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='54.57,128.18 57.09,125.66 59.61,128.18 57.09,130.70 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='63.86' y1='159.07' x2='68.90' y2='159.07' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='66.38' y1='161.59' x2='66.38' y2='156.55' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='63.86,159.07 66.38,156.55 68.90,159.07 66.38,161.59 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='63.86' y1='166.95' x2='68.90' y2='166.95' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='66.38' y1='169.47' x2='66.38' y2='164.43' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='63.86,166.95 66.38,164.43 68.90,166.95 66.38,169.47 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='80.12' y1='179.44' x2='85.16' y2='179.44' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='82.64' y1='181.96' x2='82.64' y2='176.92' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='80.12,179.44 82.64,176.92 85.16,179.44 82.64,181.96 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='80.12' y1='185.85' x2='85.16' y2='185.85' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='82.64' y1='188.37' x2='82.64' y2='183.33' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='80.12,185.85 82.64,183.33 85.16,185.85 82.64,188.37 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='112.64' y1='202.93' x2='117.68' y2='202.93' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='115.16' y1='205.45' x2='115.16' y2='200.41' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='112.64,202.93 115.16,200.41 117.68,202.93 115.16,205.45 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='112.64' y1='203.43' x2='117.68' y2='203.43' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='115.16' y1='205.95' x2='115.16' y2='200.91' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='112.64,203.43 115.16,200.91 117.68,203.43 115.16,205.95 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='186.98' y1='234.97' x2='192.02' y2='234.97' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='189.50' y1='237.49' x2='189.50' y2='232.45' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='186.98,234.97 189.50,232.45 192.02,234.97 189.50,237.49 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='186.98' y1='236.28' x2='192.02' y2='236.28' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='189.50' y1='238.80' x2='189.50' y2='233.76' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='186.98,236.28 189.50,233.76 192.02,236.28 189.50,238.80 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='256.68' y1='246.47' x2='261.72' y2='246.47' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='259.20' y1='248.99' x2='259.20' y2='243.95' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='256.68,246.47 259.20,243.95 261.72,246.47 259.20,248.99 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='256.68' y1='250.58' x2='261.72' y2='250.58' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='259.20' y1='253.10' x2='259.20' y2='248.06' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='256.68,250.58 259.20,248.06 261.72,250.58 259.20,253.10 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='326.37' y1='258.46' x2='331.41' y2='258.46' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='328.89' y1='260.98' x2='328.89' y2='255.94' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='326.37,258.46 328.89,255.94 331.41,258.46 328.89,260.98 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='326.37' y1='256.82' x2='331.41' y2='256.82' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='328.89' y1='259.34' x2='328.89' y2='254.30' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='326.37,256.82 328.89,254.30 331.41,256.82 328.89,259.34 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<polyline points='50.12,110.76 52.44,118.70 55.81,129.15 57.09,132.82 61.50,144.33 66.38,155.29 67.19,156.94 72.87,167.46 78.56,176.30 82.64,181.78 84.25,183.77 89.94,190.14 95.63,195.61 101.32,200.34 107.01,204.48 112.70,208.12 115.16,209.57 118.39,211.36 124.08,214.27 129.77,216.90 135.46,219.30 141.15,221.51 146.83,223.55 152.52,225.45 158.21,227.22 163.90,228.90 169.59,230.48 175.28,231.99 180.97,233.42 186.66,234.79 189.50,235.45 192.35,236.10 198.04,237.35 203.73,238.56 209.42,239.72 215.11,240.84 220.79,241.93 226.48,242.97 232.17,243.98 237.86,244.96 243.55,245.90 249.24,246.81 254.93,247.70 259.20,248.35 260.62,248.56 266.31,249.39 272.00,250.19 277.69,250.97 283.38,251.73 289.07,252.46 294.76,253.17 300.44,253.86 306.13,254.53 311.82,255.18 317.51,255.80 323.20,256.41 328.89,257.00 ' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<circle cx='50.12' cy='103.37' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='48.34' y1='103.37' x2='51.90' y2='103.37' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='50.12' y1='105.15' x2='50.12' y2='101.59' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='50.12' cy='122.43' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='48.34' y1='122.43' x2='51.90' y2='122.43' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='50.12' y1='124.21' x2='50.12' y2='120.65' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='52.44' cy='103.04' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='50.66' y1='103.04' x2='54.22' y2='103.04' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='52.44' y1='104.83' x2='52.44' y2='101.26' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='52.44' cy='120.46' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='50.66' y1='120.46' x2='54.22' y2='120.46' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='52.44' y1='122.24' x2='52.44' y2='118.68' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='57.09' cy='112.08' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='55.30' y1='112.08' x2='58.87' y2='112.08' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='57.09' y1='113.86' x2='57.09' y2='110.30' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='57.09' cy='116.19' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='55.30' y1='116.19' x2='58.87' y2='116.19' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='57.09' y1='117.97' x2='57.09' y2='114.40' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='66.38' cy='145.76' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='64.60' y1='145.76' x2='68.16' y2='145.76' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='66.38' y1='147.54' x2='66.38' y2='143.98' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='66.38' cy='132.94' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='64.60' y1='132.94' x2='68.16' y2='132.94' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='66.38' y1='134.73' x2='66.38' y2='131.16' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='82.64' cy='168.60' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='80.86' y1='168.60' x2='84.42' y2='168.60' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='82.64' y1='170.38' x2='82.64' y2='166.81' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='82.64' cy='152.17' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='80.86' y1='152.17' x2='84.42' y2='152.17' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='82.64' y1='153.95' x2='82.64' y2='150.38' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='115.16' cy='187.00' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='113.38' y1='187.00' x2='116.95' y2='187.00' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='115.16' y1='188.78' x2='115.16' y2='185.21' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='115.16' cy='191.43' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='113.38' y1='191.43' x2='116.95' y2='191.43' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='115.16' y1='193.21' x2='115.16' y2='189.65' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='189.50' cy='222.15' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='187.72' y1='222.15' x2='191.29' y2='222.15' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='189.50' y1='223.94' x2='189.50' y2='220.37' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='189.50' cy='222.65' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='187.72' y1='222.65' x2='191.29' y2='222.65' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='189.50' y1='224.43' x2='189.50' y2='220.87' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='259.20' cy='238.26' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='257.42' y1='238.26' x2='260.98' y2='238.26' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='259.20' y1='240.04' x2='259.20' y2='236.47' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='259.20' cy='240.39' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='257.42' y1='240.39' x2='260.98' y2='240.39' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='259.20' y1='242.17' x2='259.20' y2='238.61' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='328.89' cy='250.58' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='327.11' y1='250.58' x2='330.67' y2='250.58' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='328.89' y1='252.36' x2='328.89' y2='248.80' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='328.89' cy='250.25' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='327.11' y1='250.25' x2='330.67' y2='250.25' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='328.89' y1='252.03' x2='328.89' y2='248.47' style='stroke-width: 0.75; stroke: #61D04F;' />
+<polyline points='50.12,110.11 52.44,114.25 55.81,120.00 57.09,122.12 61.50,129.11 66.38,136.36 67.19,137.50 72.87,145.24 78.56,152.38 82.64,157.16 84.25,158.97 89.94,165.07 95.63,170.72 101.32,175.95 107.01,180.81 112.70,185.32 115.16,187.18 118.39,189.52 124.08,193.43 129.77,197.07 135.46,200.47 141.15,203.65 146.83,206.63 152.52,209.43 158.21,212.05 163.90,214.51 169.59,216.83 175.28,219.01 180.97,221.08 186.66,223.03 189.50,223.96 192.35,224.87 198.04,226.62 203.73,228.28 209.42,229.85 215.11,231.35 220.79,232.78 226.48,234.14 232.17,235.43 237.86,236.68 243.55,237.86 249.24,239.00 254.93,240.09 259.20,240.88 260.62,241.13 266.31,242.14 272.00,243.10 277.69,244.03 283.38,244.93 289.07,245.79 294.76,246.62 300.44,247.42 306.13,248.19 311.82,248.94 317.51,249.67 323.20,250.36 328.89,251.04 ' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 7.00,3.00;' />
+<polygon points='50.12,128.16 52.52,123.31 47.72,123.31 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='50.12,122.62 52.52,127.47 47.72,127.47 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='50.12,105.49 52.52,100.64 47.72,100.64 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='50.12,99.94 52.52,104.79 47.72,104.79 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='52.44,128.49 54.84,123.64 50.04,123.64 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='52.44,122.94 54.84,127.79 50.04,127.79 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='52.44,101.38 54.84,96.53 50.04,96.53 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='52.44,95.84 54.84,100.69 50.04,100.69 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='57.09,138.02 59.49,133.17 54.69,133.17 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='57.09,132.47 59.49,137.32 54.69,137.32 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='57.09,119.29 59.49,114.44 54.69,114.44 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='57.09,113.74 59.49,118.59 54.69,118.59 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.38,122.74 68.78,117.89 63.98,117.89 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.38,117.19 68.78,122.04 63.98,122.04 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.38,141.14 68.78,136.29 63.98,136.29 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.38,135.59 68.78,140.44 63.98,140.44 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='82.64,149.84 85.04,145.00 80.24,145.00 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='82.64,144.30 85.04,149.15 80.24,149.15 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='82.64,146.23 85.04,141.38 80.24,141.38 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='82.64,140.69 85.04,145.54 80.24,145.54 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='115.16,179.58 117.56,174.73 112.76,174.73 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='115.16,174.04 117.56,178.89 112.76,178.89 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='115.16,180.90 117.56,176.05 112.76,176.05 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='115.16,175.35 117.56,180.20 112.76,180.20 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='189.50,209.65 191.90,204.80 187.10,204.80 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='189.50,204.10 191.90,208.95 187.10,208.95 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='189.50,209.98 191.90,205.13 187.10,205.13 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='189.50,204.43 191.90,209.28 187.10,209.28 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='259.20,225.75 261.60,220.90 256.80,220.90 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='259.20,220.20 261.60,225.05 256.80,225.05 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='259.20,231.50 261.60,226.65 256.80,226.65 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='259.20,225.96 261.60,230.80 256.80,230.80 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='328.89,242.18 331.29,237.33 326.49,237.33 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='328.89,236.63 331.29,241.48 326.49,241.48 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='328.89,241.85 331.29,237.00 326.49,237.00 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='328.89,236.31 331.29,241.16 326.49,241.16 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polyline points='50.12,111.22 52.44,114.42 55.81,118.90 57.09,120.56 61.50,126.07 66.38,131.85 67.19,132.77 72.87,139.03 78.56,144.88 82.64,148.84 84.25,150.35 89.94,155.47 95.63,160.28 101.32,164.78 107.01,169.01 112.70,172.98 115.16,174.63 118.39,176.72 124.08,180.24 129.77,183.55 135.46,186.67 141.15,189.62 146.83,192.41 152.52,195.04 158.21,197.53 163.90,199.90 169.59,202.14 175.28,204.27 180.97,206.29 186.66,208.21 189.50,209.14 192.35,210.05 198.04,211.80 203.73,213.46 209.42,215.06 215.11,216.59 220.79,218.05 226.48,219.45 232.17,220.79 237.86,222.08 243.55,223.32 249.24,224.51 254.93,225.66 259.20,226.49 260.62,226.77 266.31,227.84 272.00,228.87 277.69,229.86 283.38,230.83 289.07,231.76 294.76,232.67 300.44,233.54 306.13,234.39 311.82,235.22 317.51,236.02 323.20,236.80 328.89,237.55 ' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+<line x1='48.34' y1='116.19' x2='51.90' y2='116.19' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.12' y1='117.97' x2='50.12' y2='114.40' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='48.34' y='114.40' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='48.34' y1='104.19' x2='51.90' y2='104.19' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.12' y1='105.98' x2='50.12' y2='102.41' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='48.34' y='102.41' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.66' y1='116.19' x2='54.22' y2='116.19' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.44' y1='117.97' x2='52.44' y2='114.40' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='50.66' y='114.40' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.66' y1='113.39' x2='54.22' y2='113.39' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.44' y1='115.18' x2='52.44' y2='111.61' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='50.66' y='111.61' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='121.44' x2='58.87' y2='121.44' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='57.09' y1='123.23' x2='57.09' y2='119.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='55.30' y='119.66' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='120.46' x2='58.87' y2='120.46' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='57.09' y1='122.24' x2='57.09' y2='118.68' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='55.30' y='118.68' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='131.63' x2='68.16' y2='131.63' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='66.38' y1='133.41' x2='66.38' y2='129.85' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='64.60' y='129.85' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='137.22' x2='68.16' y2='137.22' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='66.38' y1='139.00' x2='66.38' y2='135.43' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='64.60' y='135.43' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='160.22' x2='84.42' y2='160.22' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='82.64' y1='162.00' x2='82.64' y2='158.43' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='80.86' y='158.43' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='167.28' x2='84.42' y2='167.28' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='82.64' y1='169.06' x2='82.64' y2='165.50' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='80.86' y='165.50' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='187.16' x2='116.95' y2='187.16' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='115.16' y1='188.94' x2='115.16' y2='185.38' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='113.38' y='185.38' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='185.68' x2='116.95' y2='185.68' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='115.16' y1='187.46' x2='115.16' y2='183.90' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='113.38' y='183.90' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='224.95' x2='191.29' y2='224.95' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.50' y1='226.73' x2='189.50' y2='223.17' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='187.72' y='223.17' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='230.53' x2='191.29' y2='230.53' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.50' y1='232.32' x2='189.50' y2='228.75' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='187.72' y='228.75' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='241.05' x2='260.98' y2='241.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='259.20' y1='242.83' x2='259.20' y2='239.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='257.42' y='239.27' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='246.96' x2='260.98' y2='246.96' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='259.20' y1='248.74' x2='259.20' y2='245.18' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='257.42' y='245.18' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='256.33' x2='330.67' y2='256.33' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='328.89' y1='258.11' x2='328.89' y2='254.55' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='327.11' y='254.55' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='251.23' x2='330.67' y2='251.23' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='328.89' y1='253.02' x2='328.89' y2='249.45' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='327.11' y='249.45' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polyline points='50.12,110.07 52.44,114.46 55.81,120.54 57.09,122.77 61.50,130.14 66.38,137.76 67.19,138.97 72.87,147.08 78.56,154.54 82.64,159.52 84.25,161.42 89.94,167.76 95.63,173.61 101.32,179.03 107.01,184.04 112.70,188.68 115.16,190.59 118.39,192.99 124.08,196.99 129.77,200.72 135.46,204.19 141.15,207.42 146.83,210.45 152.52,213.28 158.21,215.93 163.90,218.41 169.59,220.75 175.28,222.95 180.97,225.02 186.66,226.97 189.50,227.90 192.35,228.81 198.04,230.56 203.73,232.21 209.42,233.77 215.11,235.26 220.79,236.67 226.48,238.02 232.17,239.30 237.86,240.52 243.55,241.69 249.24,242.81 254.93,243.87 259.20,244.64 260.62,244.89 266.31,245.87 272.00,246.81 277.69,247.72 283.38,248.58 289.07,249.42 294.76,250.22 300.44,250.99 306.13,251.74 311.82,252.46 317.51,253.15 323.20,253.82 328.89,254.46 ' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<circle cx='50.12' cy='113.23' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='48.34' y1='115.01' x2='51.90' y2='111.45' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='48.34' y1='111.45' x2='51.90' y2='115.01' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='50.12' cy='114.05' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='48.34' y1='115.83' x2='51.90' y2='112.27' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='48.34' y1='112.27' x2='51.90' y2='115.83' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='52.44' cy='114.22' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='50.66' y1='116.00' x2='54.22' y2='112.43' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='50.66' y1='112.43' x2='54.22' y2='116.00' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='52.44' cy='119.97' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='50.66' y1='121.75' x2='54.22' y2='118.18' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='50.66' y1='118.18' x2='54.22' y2='121.75' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='57.09' cy='127.85' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='55.30' y1='129.63' x2='58.87' y2='126.07' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='55.30' y1='126.07' x2='58.87' y2='129.63' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='57.09' cy='130.32' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='55.30' y1='132.10' x2='58.87' y2='128.53' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='55.30' y1='128.53' x2='58.87' y2='132.10' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='66.38' cy='131.14' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='64.60' y1='132.92' x2='68.16' y2='129.36' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='64.60' y1='129.36' x2='68.16' y2='132.92' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='66.38' cy='145.92' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='64.60' y1='147.71' x2='68.16' y2='144.14' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='64.60' y1='144.14' x2='68.16' y2='147.71' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='82.64' cy='171.88' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='80.86' y1='173.66' x2='84.42' y2='170.10' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='80.86' y1='170.10' x2='84.42' y2='173.66' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='82.64' cy='161.70' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='80.86' y1='163.48' x2='84.42' y2='159.91' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='80.86' y1='159.91' x2='84.42' y2='163.48' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='115.16' cy='203.92' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='113.38' y1='205.70' x2='116.95' y2='202.14' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='113.38' y1='202.14' x2='116.95' y2='205.70' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='115.16' cy='200.47' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='113.38' y1='202.25' x2='116.95' y2='198.69' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='113.38' y1='198.69' x2='116.95' y2='202.25' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='189.50' cy='236.78' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='187.72' y1='238.56' x2='191.29' y2='234.99' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='187.72' y1='234.99' x2='191.29' y2='238.56' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='189.50' cy='232.34' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='187.72' y1='234.12' x2='191.29' y2='230.56' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='187.72' y1='230.56' x2='191.29' y2='234.12' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='259.20' cy='245.81' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='257.42' y1='247.59' x2='260.98' y2='244.03' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='257.42' y1='244.03' x2='260.98' y2='247.59' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='259.20' cy='248.93' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='257.42' y1='250.72' x2='260.98' y2='247.15' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='257.42' y1='247.15' x2='260.98' y2='250.72' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='328.89' cy='258.63' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='327.11' y1='260.41' x2='330.67' y2='256.85' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='327.11' y1='256.85' x2='330.67' y2='260.41' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='328.89' cy='259.61' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='327.11' y1='261.40' x2='330.67' y2='257.83' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='327.11' y1='257.83' x2='330.67' y2='261.40' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<polyline points='50.12,111.74 52.44,116.72 55.81,123.58 57.09,126.08 61.50,134.30 66.38,142.70 67.19,144.02 72.87,152.85 78.56,160.87 82.64,166.18 84.25,168.18 89.94,174.85 95.63,180.95 101.32,186.52 107.01,191.63 112.70,196.32 115.16,198.24 118.39,200.64 124.08,204.62 129.77,208.29 135.46,211.69 141.15,214.83 146.83,217.76 152.52,220.47 158.21,223.01 163.90,225.37 169.59,227.58 175.28,229.65 180.97,231.59 186.66,233.42 189.50,234.29 192.35,235.14 198.04,236.76 203.73,238.30 209.42,239.75 215.11,241.12 220.79,242.43 226.48,243.67 232.17,244.85 237.86,245.97 243.55,247.04 249.24,248.06 254.93,249.04 259.20,249.74 260.62,249.97 266.31,250.87 272.00,251.73 277.69,252.55 283.38,253.34 289.07,254.09 294.76,254.82 300.44,255.52 306.13,256.20 311.82,256.85 317.51,257.47 323.20,258.07 328.89,258.66 ' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 4.00,4.00;' />
+<polygon points='50.12,121.96 51.90,125.53 48.34,125.53 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='48.34' y='121.96' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='50.12,103.89 51.90,107.45 48.34,107.45 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='48.34' y='103.89' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='52.44,115.06 54.22,118.63 50.66,118.63 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='50.66' y='115.06' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='52.44,128.86 54.22,132.43 50.66,132.43 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='50.66' y='128.86' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='57.09,125.41 58.87,128.98 55.30,128.98 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='55.30' y='125.41' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='57.09,125.91 58.87,129.47 55.30,129.47 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='55.30' y='125.91' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='66.38,149.73 68.16,153.29 64.60,153.29 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='64.60' y='149.73' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='66.38,132.48 68.16,136.04 64.60,136.04 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='64.60' y='132.48' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='82.64,173.39 84.42,176.95 80.86,176.95 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='80.86' y='173.39' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='82.64,179.30 84.42,182.86 80.86,182.86 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='80.86' y='179.30' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='115.16,198.19 116.95,201.76 113.38,201.76 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='113.38' y='198.19' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='115.16,203.94 116.95,207.51 113.38,207.51 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='113.38' y='203.94' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='189.50,232.53 191.29,236.09 187.72,236.09 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='187.72' y='232.53' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='189.50,233.35 191.29,236.92 187.72,236.92 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='187.72' y='233.35' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='259.20,246.82 260.98,250.39 257.42,250.39 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='257.42' y='246.82' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='259.20,247.32 260.98,250.88 257.42,250.88 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='257.42' y='247.32' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='328.89,256.68 330.67,260.25 327.11,260.25 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='327.11' y='256.68' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='328.89,257.83 330.67,261.40 327.11,261.40 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='327.11' y='257.83' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polyline points='50.12,111.94 52.44,118.04 55.81,126.29 57.09,129.27 61.50,138.86 66.38,148.42 67.19,149.90 72.87,159.60 78.56,168.17 82.64,173.70 84.25,175.75 89.94,182.48 95.63,188.47 101.32,193.82 107.01,198.62 112.70,202.94 115.16,204.68 118.39,206.84 124.08,210.37 129.77,213.59 135.46,216.52 141.15,219.22 146.83,221.70 152.52,223.99 158.21,226.11 163.90,228.09 169.59,229.93 175.28,231.66 180.97,233.29 186.66,234.82 189.50,235.55 192.35,236.26 198.04,237.63 203.73,238.93 209.42,240.17 215.11,241.35 220.79,242.48 226.48,243.56 232.17,244.59 237.86,245.58 243.55,246.54 249.24,247.45 254.93,248.34 259.20,248.98 260.62,249.19 266.31,250.01 272.00,250.80 277.69,251.56 283.38,252.30 289.07,253.01 294.76,253.70 300.44,254.37 306.13,255.02 311.82,255.64 317.51,256.25 323.20,256.84 328.89,257.41 ' style='stroke-width: 0.75; stroke: #F5C710; stroke-dasharray: 1.00,3.00;' />
+<polygon points='48.34,115.83 51.90,115.83 51.90,112.27 48.34,112.27 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='48.34,91.68 51.90,91.68 51.90,88.12 48.34,88.12 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='50.66,117.48 54.22,117.48 54.22,113.91 50.66,113.91 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='50.66,119.94 54.22,119.94 54.22,116.38 50.66,116.38 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='55.30,134.40 58.87,134.40 58.87,130.83 55.30,130.83 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='55.30,128.15 58.87,128.15 58.87,124.59 55.30,124.59 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='64.60,138.01 68.16,138.01 68.16,134.45 64.60,134.45 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='64.60,149.84 68.16,149.84 68.16,146.28 64.60,146.28 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='80.86,164.96 84.42,164.96 84.42,161.39 80.86,161.39 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='80.86,172.51 84.42,172.51 84.42,168.95 80.86,168.95 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='113.38,198.96 116.95,198.96 116.95,195.40 113.38,195.40 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='113.38,199.13 116.95,199.13 116.95,195.56 113.38,195.56 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='187.72,229.19 191.29,229.19 191.29,225.63 187.72,225.63 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='187.72,226.24 191.29,226.24 191.29,222.67 187.72,222.67 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='257.42,237.41 260.98,237.41 260.98,233.84 257.42,233.84 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='257.42,242.17 260.98,242.17 260.98,238.61 257.42,238.61 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='327.11,246.94 330.67,246.94 330.67,243.37 327.11,243.37 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='327.11,251.04 330.67,251.04 330.67,247.48 327.11,247.48 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polyline points='50.12,109.38 52.44,115.24 55.81,123.17 57.09,126.01 61.50,135.18 66.38,144.26 67.19,145.67 72.87,154.85 78.56,162.92 82.64,168.11 84.25,170.03 89.94,176.32 95.63,181.91 101.32,186.88 107.01,191.33 112.70,195.33 115.16,196.94 118.39,198.94 124.08,202.21 129.77,205.19 135.46,207.92 141.15,210.42 146.83,212.74 152.52,214.88 158.21,216.88 163.90,218.75 169.59,220.50 175.28,222.15 180.97,223.72 186.66,225.20 189.50,225.91 192.35,226.61 198.04,227.95 203.73,229.24 209.42,230.47 215.11,231.65 220.79,232.79 226.48,233.89 232.17,234.95 237.86,235.97 243.55,236.96 249.24,237.92 254.93,238.85 259.20,239.53 260.62,239.76 266.31,240.64 272.00,241.49 277.69,242.32 283.38,243.13 289.07,243.91 294.76,244.68 300.44,245.42 306.13,246.15 311.82,246.86 317.51,247.55 323.20,248.22 328.89,248.88 ' style='stroke-width: 0.75; stroke: #9E9E9E; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+</g>
+<defs>
+  <clipPath id='cpMzk4Ljk3fDcwMC4wNHw4Mi40NXwyODMuNDk='>
+    <rect x='398.97' y='82.45' width='301.08' height='201.03' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzk4Ljk3fDcwMC4wNHw4Mi40NXwyODMuNDk=)'>
+</g>
+<g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
+<line x1='410.12' y1='283.49' x2='684.32' y2='283.49' style='stroke-width: 0.75;' />
+<line x1='410.12' y1='283.49' x2='410.12' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='464.96' y1='283.49' x2='464.96' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='519.80' y1='283.49' x2='519.80' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='574.64' y1='283.49' x2='574.64' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='629.48' y1='283.49' x2='629.48' y2='288.24' style='stroke-width: 0.75;' />
+<line x1='684.32' y1='283.49' x2='684.32' y2='288.24' style='stroke-width: 0.75;' />
+<text x='410.12' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text x='464.96' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text x='519.80' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>40</text>
+<text x='574.64' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>60</text>
+<text x='629.48' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>80</text>
+<text x='684.32' y='300.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>100</text>
+<line x1='398.97' y1='257.94' x2='398.97' y2='108.00' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='257.94' x2='394.21' y2='257.94' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='220.45' x2='394.21' y2='220.45' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='182.97' x2='394.21' y2='182.97' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='145.49' x2='394.21' y2='145.49' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='108.00' x2='394.21' y2='108.00' style='stroke-width: 0.75;' />
+<text transform='translate(387.56,257.94) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='7.04px' lengthAdjust='spacingAndGlyphs'>-4</text>
+<text transform='translate(387.56,220.45) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='7.04px' lengthAdjust='spacingAndGlyphs'>-2</text>
+<text transform='translate(387.56,182.97) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text transform='translate(387.56,145.49) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>2</text>
+<text transform='translate(387.56,108.00) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>4</text>
+<polygon points='398.97,283.49 700.04,283.49 700.04,82.45 398.97,82.45 ' style='stroke-width: 0.75; fill: none;' />
+</g>
+<defs>
+  <clipPath id='cpMzYwLjAwfDcyMC4wMHw3Mi4wMHwzMTIuMDA='>
+    <rect x='360.00' y='72.00' width='360.00' height='240.00' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzYwLjAwfDcyMC4wMHw3Mi4wMHwzMTIuMDA=)'>
+<text x='549.50' y='319.60' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='33.46px' lengthAdjust='spacingAndGlyphs'>Predicted</text>
+<text transform='translate(368.55,182.97) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='76.62px' lengthAdjust='spacingAndGlyphs'>Standardized residual</text>
+</g>
+<g clip-path='url(#cpMzk4Ljk3fDcwMC4wNHw4Mi40NXwyODMuNDk=)'>
+<line x1='398.97' y1='182.97' x2='700.04' y2='182.97' style='stroke-width: 0.75; stroke-dasharray: 4.00,4.00;' />
+<circle cx='688.89' cy='165.74' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='688.89' cy='203.02' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='680.55' cy='206.66' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='680.55' cy='192.93' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='664.94' cy='129.54' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='664.94' cy='172.71' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='637.59' cy='164.38' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='637.59' cy='132.33' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='599.79' cy='172.97' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='599.79' cy='208.94' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='550.11' cy='209.50' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='550.11' cy='211.46' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='496.95' cy='184.71' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='496.95' cy='169.67' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='473.60' cy='175.46' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='473.60' cy='185.27' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='458.52' cy='195.74' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='458.52' cy='181.35' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='687.93,136.46 690.33,140.62 685.53,140.62 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='687.93,154.78 690.33,158.94 685.53,158.94 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='679.74,152.91 682.14,157.07 677.34,157.07 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='679.74,222.90 682.14,227.06 677.34,227.06 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='664.46,216.53 666.86,220.69 662.06,220.69 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='664.46,153.09 666.86,157.25 662.06,157.25 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='637.76,173.13 640.16,177.29 635.36,177.29 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='637.76,203.22 640.16,207.37 635.36,207.37 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='601.03,169.23 603.43,173.39 598.63,173.39 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='601.03,184.93 603.43,189.09 598.63,189.09 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='552.99,189.39 555.39,193.54 550.59,193.54 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='552.99,173.69 555.39,177.84 550.59,177.84 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='501.12,162.47 503.52,166.62 498.72,166.62 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='501.12,191.90 503.52,196.06 498.72,196.06 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='477.45,196.91 479.85,201.06 475.05,201.06 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='477.45,183.17 479.85,187.33 475.05,187.33 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='461.69,175.67 464.09,179.82 459.29,179.82 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='461.69,165.20 464.09,169.36 459.29,169.36 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<line x1='679.28' y1='237.13' x2='684.32' y2='237.13' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='681.80' y1='239.65' x2='681.80' y2='234.61' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='679.28' y1='162.57' x2='684.32' y2='162.57' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='681.80' y1='165.09' x2='681.80' y2='160.05' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='671.60' y1='222.73' x2='676.64' y2='222.73' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='674.12' y1='225.25' x2='674.12' y2='220.21' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='671.60' y1='144.89' x2='676.64' y2='144.89' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='674.12' y1='147.41' x2='674.12' y2='142.37' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='657.10' y1='195.99' x2='662.14' y2='195.99' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='659.62' y1='198.51' x2='659.62' y2='193.47' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='657.10' y1='171.79' x2='662.14' y2='171.79' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='659.62' y1='174.31' x2='659.62' y2='169.27' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='631.25' y1='214.13' x2='636.29' y2='214.13' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='633.77' y1='216.65' x2='633.77' y2='211.61' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='631.25' y1='235.06' x2='636.29' y2='235.06' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='633.77' y1='237.58' x2='633.77' y2='232.54' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='594.41' y1='139.33' x2='599.45' y2='139.33' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='596.93' y1='141.85' x2='596.93' y2='136.81' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='594.41' y1='184.46' x2='599.45' y2='184.46' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='596.93' y1='186.98' x2='596.93' y2='181.94' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='543.40' y1='196.22' x2='548.44' y2='196.22' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='545.92' y1='198.74' x2='545.92' y2='193.70' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='543.40' y1='158.28' x2='548.44' y2='158.28' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='545.92' y1='160.80' x2='545.92' y2='155.76' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='484.64' y1='189.49' x2='489.68' y2='189.49' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='487.16' y1='192.01' x2='487.16' y2='186.97' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='484.64' y1='176.41' x2='489.68' y2='176.41' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='487.16' y1='178.93' x2='487.16' y2='173.89' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='458.66' y1='177.22' x2='463.70' y2='177.22' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='461.18' y1='179.74' x2='461.18' y2='174.70' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='458.66' y1='181.14' x2='463.70' y2='181.14' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='461.18' y1='183.66' x2='461.18' y2='178.62' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='443.12' y1='185.30' x2='448.16' y2='185.30' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='445.64' y1='187.82' x2='445.64' y2='182.78' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='443.12' y1='191.18' x2='448.16' y2='191.18' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='445.64' y1='193.70' x2='445.64' y2='188.66' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='682.00' y1='215.50' x2='685.56' y2='211.93' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='682.00' y1='211.93' x2='685.56' y2='215.50' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='682.00' y1='141.59' x2='685.56' y2='138.02' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='682.00' y1='138.02' x2='685.56' y2='141.59' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='675.00' y1='212.55' x2='678.57' y2='208.99' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='675.00' y1='208.99' x2='678.57' y2='212.55' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='675.00' y1='175.92' x2='678.57' y2='172.36' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='675.00' y1='172.36' x2='678.57' y2='175.92' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='661.64' y1='187.86' x2='665.20' y2='184.30' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='661.64' y1='184.30' x2='665.20' y2='187.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='661.64' y1='200.29' x2='665.20' y2='196.73' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='661.64' y1='196.73' x2='665.20' y2='200.29' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='637.19' y1='193.66' x2='640.76' y2='190.10' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='637.19' y1='190.10' x2='640.76' y2='193.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='637.19' y1='197.59' x2='640.76' y2='194.02' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='637.19' y1='194.02' x2='640.76' y2='197.59' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='600.81' y1='208.25' x2='604.37' y2='204.68' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='600.81' y1='204.68' x2='604.37' y2='208.25' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='600.81' y1='161.81' x2='604.37' y2='158.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='600.81' y1='158.24' x2='604.37' y2='161.81' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='546.71' y1='188.44' x2='550.28' y2='184.88' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='546.71' y1='184.88' x2='550.28' y2='188.44' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='546.71' y1='183.86' x2='550.28' y2='180.30' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='546.71' y1='180.30' x2='550.28' y2='183.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='478.36' y1='160.80' x2='481.93' y2='157.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='478.36' y1='157.24' x2='481.93' y2='160.80' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='478.36' y1='191.54' x2='481.93' y2='187.98' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='478.36' y1='187.98' x2='481.93' y2='191.54' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='448.06' y1='193.82' x2='451.62' y2='190.25' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='448.06' y1='190.25' x2='451.62' y2='193.82' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='448.06' y1='191.85' x2='451.62' y2='188.29' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='448.06' y1='188.29' x2='451.62' y2='191.85' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='431.90' y1='182.75' x2='435.46' y2='179.18' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='431.90' y1='179.18' x2='435.46' y2='182.75' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='431.90' y1='172.28' x2='435.46' y2='168.72' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='431.90' y1='168.72' x2='435.46' y2='172.28' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polygon points='681.33,143.26 683.85,140.74 686.37,143.26 683.85,145.78 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='681.33,208.67 683.85,206.15 686.37,208.67 683.85,211.19 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='670.07,160.21 672.59,157.69 675.11,160.21 672.59,162.73 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='670.07,248.51 672.59,245.99 675.11,248.51 672.59,251.03 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='649.69,199.25 652.21,196.73 654.73,199.25 652.21,201.77 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='649.69,178.32 652.21,175.80 654.73,178.32 652.21,180.84 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='616.19,185.40 618.71,182.88 621.23,185.40 618.71,187.92 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='616.19,167.74 618.71,165.22 621.23,167.74 618.71,170.26 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='574.66,199.50 577.18,196.98 579.70,199.50 577.18,202.02 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='574.66,187.07 577.18,184.55 579.70,187.07 577.18,189.59 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='528.46,182.17 530.98,179.65 533.50,182.17 530.98,184.69 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='528.46,159.28 530.98,156.76 533.50,159.28 530.98,161.80 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='485.80,188.98 488.32,186.45 490.84,188.98 488.32,191.50 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='485.80,163.47 488.32,160.95 490.84,163.47 488.32,165.99 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='465.36,180.79 467.88,178.27 470.40,180.79 467.88,183.31 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='465.36,181.44 467.88,178.92 470.40,181.44 467.88,183.96 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='450.89,196.64 453.41,194.12 455.93,196.64 453.41,199.16 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='450.89,193.37 453.41,190.85 455.93,193.37 453.41,195.89 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='686.25,211.92 688.65,207.76 683.85,207.76 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='686.25,191.64 688.65,187.49 683.85,187.49 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='677.18,153.00 679.58,148.84 674.78,148.84 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='677.18,179.82 679.58,175.66 674.78,175.66 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='660.45,173.26 662.85,169.10 658.05,169.10 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='660.45,151.68 662.85,147.52 658.05,147.52 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='631.91,222.28 634.31,218.12 629.51,218.12 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='631.91,200.69 634.31,196.53 629.51,196.53 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='594.33,194.10 596.73,189.95 591.93,189.95 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='594.33,162.71 596.73,158.55 591.93,158.55 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='548.86,204.04 551.26,199.89 546.46,199.89 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='548.86,182.46 551.26,178.30 546.46,178.30 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='505.42,163.21 507.82,159.05 503.02,159.05 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='505.42,175.63 507.82,171.48 503.02,171.48 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='486.38,191.04 488.78,186.89 483.98,186.89 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='486.38,183.85 488.78,179.69 483.98,179.69 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='472.84,190.16 475.24,186.00 470.44,186.00 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='472.84,193.43 475.24,189.27 470.44,189.27 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='686.22' y='174.27' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='686.22' y1='177.84' x2='689.79' y2='174.27' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='686.22' y1='174.27' x2='689.79' y2='177.84' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='686.22' y='205.02' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='686.22' y1='208.58' x2='689.79' y2='205.02' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='686.22' y1='205.02' x2='689.79' y2='208.58' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='671.29' y='168.07' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='671.29' y1='171.64' x2='674.85' y2='168.07' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='671.29' y1='168.07' x2='674.85' y2='171.64' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='671.29' y='141.91' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='671.29' y1='145.47' x2='674.85' y2='141.91' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='671.29' y1='141.91' x2='674.85' y2='145.47' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='644.73' y='139.39' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='644.73' y1='142.96' x2='648.29' y2='139.39' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='644.73' y1='139.39' x2='648.29' y2='142.96' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='644.73' y='185.83' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='644.73' y1='189.40' x2='648.29' y2='185.83' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='644.73' y1='185.83' x2='648.29' y2='189.40' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='602.48' y='220.45' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='602.48' y1='224.02' x2='606.05' y2='220.45' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='602.48' y1='220.45' x2='606.05' y2='224.02' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='602.48' y='177.28' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='602.48' y1='180.85' x2='606.05' y2='177.28' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='602.48' y1='177.28' x2='606.05' y2='180.85' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='552.72' y='176.32' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='552.72' y1='179.88' x2='556.28' y2='176.32' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='552.72' y1='176.32' x2='556.28' y2='179.88' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='552.72' y='176.97' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='552.72' y1='180.54' x2='556.28' y2='176.97' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='552.72' y1='176.97' x2='556.28' y2='180.54' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='500.71' y='191.58' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='500.71' y1='195.15' x2='504.28' y2='191.58' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='500.71' y1='191.58' x2='504.28' y2='195.15' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='500.71' y='196.82' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='500.71' y1='200.38' x2='504.28' y2='196.82' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='500.71' y1='196.82' x2='504.28' y2='200.38' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='454.72' y='187.17' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='454.72' y1='190.74' x2='458.28' y2='187.17' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='454.72' y1='187.17' x2='458.28' y2='190.74' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='454.72' y='172.78' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='454.72' y1='176.35' x2='458.28' y2='172.78' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='454.72' y1='172.78' x2='458.28' y2='176.35' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='435.10' y='166.54' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='435.10' y1='170.11' x2='438.66' y2='166.54' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='435.10' y1='166.54' x2='438.66' y2='170.11' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='435.10' y='182.90' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='435.10' y1='186.46' x2='438.66' y2='182.90' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='435.10' y1='182.90' x2='438.66' y2='186.46' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='423.94' y='168.70' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='423.94' y1='172.26' x2='427.50' y2='168.70' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='423.94' y1='168.70' x2='427.50' y2='172.26' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='423.94' y='178.51' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='423.94' y1='182.07' x2='427.50' y2='178.51' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='423.94' y1='178.51' x2='427.50' y2='182.07' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='685.01' y1='186.06' x2='688.58' y2='182.50' style='stroke-width: 0.75;' />
+<line x1='685.01' y1='182.50' x2='688.58' y2='186.06' style='stroke-width: 0.75;' />
+<line x1='684.27' y1='184.28' x2='689.31' y2='184.28' style='stroke-width: 0.75;' />
+<line x1='686.79' y1='186.80' x2='686.79' y2='181.76' style='stroke-width: 0.75;' />
+<line x1='685.01' y1='173.64' x2='688.58' y2='170.07' style='stroke-width: 0.75;' />
+<line x1='685.01' y1='170.07' x2='688.58' y2='173.64' style='stroke-width: 0.75;' />
+<line x1='684.27' y1='171.85' x2='689.31' y2='171.85' style='stroke-width: 0.75;' />
+<line x1='686.79' y1='174.37' x2='686.79' y2='169.33' style='stroke-width: 0.75;' />
+<line x1='665.23' y1='258.57' x2='668.79' y2='255.00' style='stroke-width: 0.75;' />
+<line x1='665.23' y1='255.00' x2='668.79' y2='258.57' style='stroke-width: 0.75;' />
+<line x1='664.49' y1='256.79' x2='669.53' y2='256.79' style='stroke-width: 0.75;' />
+<line x1='667.01' y1='259.31' x2='667.01' y2='254.27' style='stroke-width: 0.75;' />
+<line x1='665.23' y1='167.65' x2='668.79' y2='164.09' style='stroke-width: 0.75;' />
+<line x1='665.23' y1='164.09' x2='668.79' y2='167.65' style='stroke-width: 0.75;' />
+<line x1='664.49' y1='165.87' x2='669.53' y2='165.87' style='stroke-width: 0.75;' />
+<line x1='667.01' y1='168.39' x2='667.01' y2='163.35' style='stroke-width: 0.75;' />
+<line x1='632.70' y1='160.04' x2='636.26' y2='156.48' style='stroke-width: 0.75;' />
+<line x1='632.70' y1='156.48' x2='636.26' y2='160.04' style='stroke-width: 0.75;' />
+<line x1='631.96' y1='158.26' x2='637.00' y2='158.26' style='stroke-width: 0.75;' />
+<line x1='634.48' y1='160.78' x2='634.48' y2='155.74' style='stroke-width: 0.75;' />
+<line x1='632.70' y1='195.36' x2='636.26' y2='191.80' style='stroke-width: 0.75;' />
+<line x1='632.70' y1='191.80' x2='636.26' y2='195.36' style='stroke-width: 0.75;' />
+<line x1='631.96' y1='193.58' x2='637.00' y2='193.58' style='stroke-width: 0.75;' />
+<line x1='634.48' y1='196.10' x2='634.48' y2='191.06' style='stroke-width: 0.75;' />
+<line x1='587.99' y1='206.46' x2='591.56' y2='202.90' style='stroke-width: 0.75;' />
+<line x1='587.99' y1='202.90' x2='591.56' y2='206.46' style='stroke-width: 0.75;' />
+<line x1='587.26' y1='204.68' x2='592.30' y2='204.68' style='stroke-width: 0.75;' />
+<line x1='589.78' y1='207.20' x2='589.78' y2='202.16' style='stroke-width: 0.75;' />
+<line x1='587.99' y1='161.99' x2='591.56' y2='158.42' style='stroke-width: 0.75;' />
+<line x1='587.99' y1='158.42' x2='591.56' y2='161.99' style='stroke-width: 0.75;' />
+<line x1='587.26' y1='160.20' x2='592.30' y2='160.20' style='stroke-width: 0.75;' />
+<line x1='589.78' y1='162.72' x2='589.78' y2='157.68' style='stroke-width: 0.75;' />
+<line x1='546.16' y1='193.00' x2='549.72' y2='189.44' style='stroke-width: 0.75;' />
+<line x1='546.16' y1='189.44' x2='549.72' y2='193.00' style='stroke-width: 0.75;' />
+<line x1='545.42' y1='191.22' x2='550.46' y2='191.22' style='stroke-width: 0.75;' />
+<line x1='547.94' y1='193.74' x2='547.94' y2='188.70' style='stroke-width: 0.75;' />
+<line x1='546.16' y1='170.76' x2='549.72' y2='167.20' style='stroke-width: 0.75;' />
+<line x1='546.16' y1='167.20' x2='549.72' y2='170.76' style='stroke-width: 0.75;' />
+<line x1='545.42' y1='168.98' x2='550.46' y2='168.98' style='stroke-width: 0.75;' />
+<line x1='547.94' y1='171.50' x2='547.94' y2='166.46' style='stroke-width: 0.75;' />
+<line x1='511.39' y1='188.56' x2='514.95' y2='185.00' style='stroke-width: 0.75;' />
+<line x1='511.39' y1='185.00' x2='514.95' y2='188.56' style='stroke-width: 0.75;' />
+<line x1='510.65' y1='186.78' x2='515.69' y2='186.78' style='stroke-width: 0.75;' />
+<line x1='513.17' y1='189.30' x2='513.17' y2='184.26' style='stroke-width: 0.75;' />
+<line x1='511.39' y1='188.56' x2='514.95' y2='185.00' style='stroke-width: 0.75;' />
+<line x1='511.39' y1='185.00' x2='514.95' y2='188.56' style='stroke-width: 0.75;' />
+<line x1='510.65' y1='186.78' x2='515.69' y2='186.78' style='stroke-width: 0.75;' />
+<line x1='513.17' y1='189.30' x2='513.17' y2='184.26' style='stroke-width: 0.75;' />
+<line x1='475.30' y1='209.09' x2='478.86' y2='205.53' style='stroke-width: 0.75;' />
+<line x1='475.30' y1='205.53' x2='478.86' y2='209.09' style='stroke-width: 0.75;' />
+<line x1='474.56' y1='207.31' x2='479.60' y2='207.31' style='stroke-width: 0.75;' />
+<line x1='477.08' y1='209.83' x2='477.08' y2='204.79' style='stroke-width: 0.75;' />
+<line x1='475.30' y1='166.58' x2='478.86' y2='163.01' style='stroke-width: 0.75;' />
+<line x1='475.30' y1='163.01' x2='478.86' y2='166.58' style='stroke-width: 0.75;' />
+<line x1='474.56' y1='164.80' x2='479.60' y2='164.80' style='stroke-width: 0.75;' />
+<line x1='477.08' y1='167.32' x2='477.08' y2='162.28' style='stroke-width: 0.75;' />
+<line x1='453.94' y1='184.96' x2='457.51' y2='181.40' style='stroke-width: 0.75;' />
+<line x1='453.94' y1='181.40' x2='457.51' y2='184.96' style='stroke-width: 0.75;' />
+<line x1='453.20' y1='183.18' x2='458.24' y2='183.18' style='stroke-width: 0.75;' />
+<line x1='455.72' y1='185.70' x2='455.72' y2='180.66' style='stroke-width: 0.75;' />
+<line x1='453.94' y1='182.35' x2='457.51' y2='178.78' style='stroke-width: 0.75;' />
+<line x1='453.94' y1='178.78' x2='457.51' y2='182.35' style='stroke-width: 0.75;' />
+<line x1='453.20' y1='180.56' x2='458.24' y2='180.56' style='stroke-width: 0.75;' />
+<line x1='455.72' y1='183.08' x2='455.72' y2='178.04' style='stroke-width: 0.75;' />
+<line x1='439.40' y1='182.34' x2='442.97' y2='178.77' style='stroke-width: 0.75;' />
+<line x1='439.40' y1='178.77' x2='442.97' y2='182.34' style='stroke-width: 0.75;' />
+<line x1='438.67' y1='180.56' x2='443.71' y2='180.56' style='stroke-width: 0.75;' />
+<line x1='441.19' y1='183.08' x2='441.19' y2='178.04' style='stroke-width: 0.75;' />
+<line x1='439.40' y1='173.83' x2='442.97' y2='170.27' style='stroke-width: 0.75;' />
+<line x1='439.40' y1='170.27' x2='442.97' y2='173.83' style='stroke-width: 0.75;' />
+<line x1='438.67' y1='172.05' x2='443.71' y2='172.05' style='stroke-width: 0.75;' />
+<line x1='441.19' y1='174.57' x2='441.19' y2='169.53' style='stroke-width: 0.75;' />
+<line x1='683.45' y1='140.46' x2='688.49' y2='140.46' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='685.97' y1='142.98' x2='685.97' y2='137.94' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='683.45,140.46 685.97,137.94 688.49,140.46 685.97,142.98 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='683.45' y1='198.02' x2='688.49' y2='198.02' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='685.97' y1='200.54' x2='685.97' y2='195.50' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='683.45,198.02 685.97,195.50 688.49,198.02 685.97,200.54 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='670.20' y1='202.39' x2='675.24' y2='202.39' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='672.72' y1='204.91' x2='672.72' y2='199.87' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='670.20,202.39 672.72,199.87 675.24,202.39 672.72,204.91 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='670.20' y1='211.55' x2='675.24' y2='211.55' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='672.72' y1='214.07' x2='672.72' y2='209.03' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='670.20,211.55 672.72,209.03 675.24,211.55 672.72,214.07 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='646.65' y1='150.12' x2='651.69' y2='150.12' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='649.17' y1='152.64' x2='649.17' y2='147.60' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='646.65,150.12 649.17,147.60 651.69,150.12 649.17,152.64 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='646.65' y1='164.51' x2='651.69' y2='164.51' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='649.17' y1='167.03' x2='649.17' y2='161.99' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='646.65,164.51 649.17,161.99 651.69,164.51 649.17,167.03 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='609.14' y1='198.02' x2='614.18' y2='198.02' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='611.66' y1='200.54' x2='611.66' y2='195.50' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='609.14,198.02 611.66,195.50 614.18,198.02 611.66,200.54 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='609.14' y1='229.41' x2='614.18' y2='229.41' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='611.66' y1='231.93' x2='611.66' y2='226.89' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='609.14,229.41 611.66,226.89 614.18,229.41 611.66,231.93 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='564.93' y1='173.66' x2='569.97' y2='173.66' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='567.45' y1='176.18' x2='567.45' y2='171.14' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='564.93,173.66 567.45,171.14 569.97,173.66 567.45,176.18 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='564.93' y1='199.17' x2='569.97' y2='199.17' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='567.45' y1='201.69' x2='567.45' y2='196.65' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='564.93,199.17 567.45,196.65 569.97,199.17 567.45,201.69 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='518.54' y1='156.54' x2='523.58' y2='156.54' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='521.06' y1='159.06' x2='521.06' y2='154.02' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='518.54,156.54 521.06,154.02 523.58,156.54 521.06,159.06 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='518.54' y1='158.50' x2='523.58' y2='158.50' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='521.06' y1='161.02' x2='521.06' y2='155.98' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='518.54,158.50 521.06,155.98 523.58,158.50 521.06,161.02 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='475.35' y1='181.06' x2='480.39' y2='181.06' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='477.87' y1='183.58' x2='477.87' y2='178.54' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='475.35,181.06 477.87,178.54 480.39,181.06 477.87,183.58 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='475.35' y1='186.30' x2='480.39' y2='186.30' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='477.87' y1='188.82' x2='477.87' y2='183.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='475.35,186.30 477.87,183.78 480.39,186.30 477.87,188.82 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='453.82' y1='175.50' x2='458.86' y2='175.50' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='456.34' y1='178.02' x2='456.34' y2='172.98' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='453.82,175.50 456.34,172.98 458.86,175.50 456.34,178.02 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='453.82' y1='191.86' x2='458.86' y2='191.86' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='456.34' y1='194.38' x2='456.34' y2='189.34' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='453.82,191.86 456.34,189.34 458.86,191.86 456.34,194.38 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='439.37' y1='188.78' x2='444.41' y2='188.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='441.89' y1='191.30' x2='441.89' y2='186.26' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='439.37,188.78 441.89,186.26 444.41,188.78 441.89,191.30 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='439.37' y1='182.24' x2='444.41' y2='182.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='441.89' y1='184.76' x2='441.89' y2='179.72' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='439.37,182.24 441.89,179.72 444.41,182.24 441.89,184.76 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<circle cx='687.07' cy='156.16' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='685.29' y1='156.16' x2='688.85' y2='156.16' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='687.07' y1='157.95' x2='687.07' y2='154.38' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='687.07' cy='232.04' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='685.29' y1='232.04' x2='688.85' y2='232.04' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='687.07' y1='233.82' x2='687.07' y2='230.26' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='680.16' cy='138.36' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='678.38' y1='138.36' x2='681.94' y2='138.36' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='680.16' y1='140.15' x2='680.16' y2='136.58' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='680.16' cy='207.70' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='678.38' y1='207.70' x2='681.94' y2='207.70' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='680.16' y1='209.48' x2='680.16' y2='205.92' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='667.02' cy='143.00' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='665.24' y1='143.00' x2='668.80' y2='143.00' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='667.02' y1='144.78' x2='667.02' y2='141.21' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='667.02' cy='159.35' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='665.24' y1='159.35' x2='668.80' y2='159.35' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='667.02' y1='161.13' x2='667.02' y2='157.57' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='643.26' cy='220.40' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='641.47' y1='220.40' x2='645.04' y2='220.40' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='643.26' y1='222.19' x2='643.26' y2='218.62' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='643.26' cy='169.38' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='641.47' y1='169.38' x2='645.04' y2='169.38' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='643.26' y1='171.17' x2='643.26' y2='167.60' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='608.54' cy='228.50' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='606.76' y1='228.50' x2='610.32' y2='228.50' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='608.54' y1='230.29' x2='608.54' y2='226.72' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='608.54' cy='163.10' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='606.76' y1='163.10' x2='610.32' y2='163.10' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='608.54' y1='164.88' x2='608.54' y2='161.31' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='558.44' cy='182.25' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='556.65' y1='182.25' x2='560.22' y2='182.25' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='558.44' y1='184.03' x2='558.44' y2='180.47' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='558.44' cy='199.91' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='556.65' y1='199.91' x2='560.22' y2='199.91' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='558.44' y1='201.69' x2='558.44' y2='198.13' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='497.04' cy='175.78' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='495.26' y1='175.78' x2='498.83' y2='175.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='497.04' y1='177.56' x2='497.04' y2='174.00' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='497.04' cy='177.74' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='495.26' y1='177.74' x2='498.83' y2='177.74' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='497.04' y1='179.53' x2='497.04' y2='175.96' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='468.81' cy='172.53' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='467.03' y1='172.53' x2='470.59' y2='172.53' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='468.81' y1='174.32' x2='468.81' y2='170.75' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='468.81' cy='181.04' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='467.03' y1='181.04' x2='470.59' y2='181.04' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='468.81' y1='182.82' x2='468.81' y2='179.26' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='451.84' cy='181.12' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='450.06' y1='181.12' x2='453.63' y2='181.12' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='451.84' y1='182.90' x2='451.84' y2='179.34' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='451.84' cy='179.81' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='450.06' y1='179.81' x2='453.63' y2='179.81' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='451.84' y1='181.59' x2='451.84' y2='178.03' style='stroke-width: 0.75; stroke: #61D04F;' />
+<polygon points='685.21,242.16 687.61,237.31 682.82,237.31 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='685.21,236.61 687.61,241.46 682.82,241.46 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='685.21,151.89 687.61,147.04 682.82,147.04 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='685.21,146.35 687.61,151.20 682.82,151.20 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='679.87,230.71 682.27,225.86 677.47,225.86 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='679.87,225.17 682.27,230.02 677.47,230.02 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='679.87,122.79 682.27,117.94 677.47,117.94 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='679.87,117.25 682.27,122.10 677.47,122.10 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='669.62,244.21 672.02,239.36 667.22,239.36 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='669.62,238.66 672.02,243.51 667.22,243.51 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='669.62,169.64 672.02,164.79 667.22,164.79 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='669.62,164.10 672.02,168.95 667.22,168.95 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='650.78,138.43 653.18,133.58 648.38,133.58 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='650.78,132.89 653.18,137.74 648.38,137.74 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='650.78,211.69 653.18,206.84 648.38,206.84 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='650.78,206.15 653.18,211.00 648.38,211.00 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='622.43,178.73 624.83,173.88 620.03,173.88 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='622.43,173.19 624.83,178.04 620.03,178.04 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='622.43,164.34 624.83,159.49 620.03,159.49 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='622.43,158.80 624.83,163.65 620.03,163.65 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='579.37,194.42 581.77,189.57 576.97,189.57 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='579.37,188.87 581.77,193.72 576.97,193.72 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='579.37,199.65 581.77,194.80 576.97,194.80 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='579.37,194.11 581.77,198.96 576.97,198.96 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='521.78,176.72 524.18,171.87 519.38,171.87 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='521.78,171.18 524.18,176.03 519.38,176.03 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='521.78,178.03 524.18,173.18 519.38,173.18 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='521.78,172.49 524.18,177.34 519.38,177.34 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='492.81,171.73 495.21,166.89 490.41,166.89 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='492.81,166.19 495.21,171.04 490.41,171.04 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='492.81,194.63 495.21,189.78 490.41,189.78 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='492.81,189.09 495.21,193.93 490.41,193.93 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='474.36,193.11 476.76,188.26 471.96,188.26 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='474.36,187.57 476.76,192.42 471.96,192.42 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='474.36,191.80 476.76,186.96 471.96,186.96 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='474.36,186.26 476.76,191.11 471.96,191.11 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<line x1='685.35' y1='207.32' x2='688.91' y2='207.32' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='687.13' y1='209.10' x2='687.13' y2='205.54' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='685.35' y='205.54' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='685.35' y1='159.57' x2='688.91' y2='159.57' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='687.13' y1='161.35' x2='687.13' y2='157.79' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='685.35' y='157.79' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='678.03' y1='189.86' x2='681.59' y2='189.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='679.81' y1='191.65' x2='679.81' y2='188.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='678.03' y='188.08' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='678.03' y1='178.75' x2='681.59' y2='178.75' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='679.81' y1='180.53' x2='679.81' y2='176.96' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='678.03' y='176.96' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='664.15' y1='177.68' x2='667.71' y2='177.68' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='665.93' y1='179.46' x2='665.93' y2='175.90' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='664.15' y='175.90' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='664.15' y1='173.76' x2='667.71' y2='173.76' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='665.93' y1='175.54' x2='665.93' y2='171.97' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='664.15' y='171.97' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='639.13' y1='158.56' x2='642.69' y2='158.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='640.91' y1='160.34' x2='640.91' y2='156.78' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='639.13' y='156.78' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='639.13' y1='180.80' x2='642.69' y2='180.80' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='640.91' y1='182.58' x2='640.91' y2='179.02' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='639.13' y='179.02' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='602.81' y1='185.73' x2='606.37' y2='185.73' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='604.59' y1='187.51' x2='604.59' y2='183.95' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='602.81' y='183.95' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='602.81' y1='213.86' x2='606.37' y2='213.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='604.59' y1='215.64' x2='604.59' y2='212.07' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='602.81' y='212.07' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='550.96' y1='169.33' x2='554.53' y2='169.33' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='552.75' y1='171.11' x2='552.75' y2='167.55' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='550.96' y='167.55' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='550.96' y1='163.44' x2='554.53' y2='163.44' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='552.75' y1='165.23' x2='552.75' y2='161.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='550.96' y='161.66' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='488.68' y1='171.20' x2='492.24' y2='171.20' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='490.46' y1='172.99' x2='490.46' y2='169.42' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='488.68' y='169.42' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='488.68' y1='193.44' x2='492.24' y2='193.44' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='490.46' y1='195.22' x2='490.46' y2='191.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='488.68' y='191.66' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='460.74' y1='168.66' x2='464.31' y2='168.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='462.52' y1='170.44' x2='462.52' y2='166.88' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='460.74' y='166.88' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='460.74' y1='192.21' x2='464.31' y2='192.21' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='462.52' y1='193.99' x2='462.52' y2='190.42' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='460.74' y='190.42' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='444.35' y1='190.39' x2='447.91' y2='190.39' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='446.13' y1='192.17' x2='446.13' y2='188.61' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='444.35' y='188.61' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='444.35' y1='170.11' x2='447.91' y2='170.11' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='446.13' y1='171.89' x2='446.13' y2='168.33' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='444.35' y='168.33' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<circle cx='684.34' cy='188.89' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='682.56' y1='190.67' x2='686.12' y2='187.11' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='682.56' y1='187.11' x2='686.12' y2='190.67' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='684.34' cy='192.16' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='682.56' y1='193.94' x2='686.12' y2='190.38' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='682.56' y1='190.38' x2='686.12' y2='193.94' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='676.03' cy='173.00' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='674.25' y1='174.79' x2='677.81' y2='171.22' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='674.25' y1='171.22' x2='677.81' y2='174.79' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='676.03' cy='195.90' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='674.25' y1='197.68' x2='677.81' y2='194.11' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='674.25' y1='194.11' x2='677.81' y2='197.68' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='660.40' cy='190.01' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='658.62' y1='191.79' x2='662.19' y2='188.23' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='658.62' y1='188.23' x2='662.19' y2='191.79' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='660.40' cy='199.82' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='658.62' y1='201.61' x2='662.19' y2='198.04' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='658.62' y1='198.04' x2='662.19' y2='201.61' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='632.67' cy='136.95' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='630.89' y1='138.73' x2='634.46' y2='135.17' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='630.89' y1='135.17' x2='634.46' y2='138.73' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='632.67' cy='195.82' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='630.89' y1='197.60' x2='634.46' y2='194.03' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='630.89' y1='194.03' x2='634.46' y2='197.60' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='593.48' cy='205.67' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='591.70' y1='207.45' x2='595.26' y2='203.88' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='591.70' y1='203.88' x2='595.26' y2='207.45' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='593.48' cy='165.11' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='591.70' y1='166.90' x2='595.26' y2='163.33' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='591.70' y1='163.33' x2='595.26' y2='166.90' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='539.97' cy='205.58' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='538.19' y1='207.36' x2='541.76' y2='203.80' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='538.19' y1='203.80' x2='541.76' y2='207.36' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='539.97' cy='191.85' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='538.19' y1='193.63' x2='541.76' y2='190.06' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='538.19' y1='190.06' x2='541.76' y2='193.63' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='479.80' cy='192.86' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='478.01' y1='194.64' x2='481.58' y2='191.07' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='478.01' y1='191.07' x2='481.58' y2='194.64' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='479.80' cy='175.19' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='478.01' y1='176.98' x2='481.58' y2='173.41' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='478.01' y1='173.41' x2='481.58' y2='176.98' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='454.01' cy='167.32' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='452.23' y1='169.11' x2='455.79' y2='165.54' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='452.23' y1='165.54' x2='455.79' y2='169.11' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='454.01' cy='179.75' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='452.23' y1='181.53' x2='455.79' y2='177.97' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='452.23' y1='177.97' x2='455.79' y2='181.53' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='439.14' cy='182.86' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='437.35' y1='184.64' x2='440.92' y2='181.08' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='437.35' y1='181.08' x2='440.92' y2='184.64' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='439.14' cy='186.78' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='437.35' y1='188.57' x2='440.92' y2='185.00' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='437.35' y1='185.00' x2='440.92' y2='188.57' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<polygon points='684.00,228.17 685.78,231.73 682.22,231.73 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='682.22' y='228.17' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='684.00,156.22 685.78,159.78 682.22,159.78 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='682.22' y='156.22' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='673.83,176.44 675.62,180.00 672.05,180.00 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='672.05' y='176.44' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='673.83,231.38 675.62,234.95 672.05,234.95 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='672.05' y='231.38' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='655.09,172.93 656.87,176.50 653.31,176.50 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='653.31' y='172.93' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='655.09,174.90 656.87,178.46 653.31,178.46 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='653.31' y='174.90' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='623.13,193.50 624.91,197.06 621.34,197.06 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='621.34' y='193.50' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='623.13,124.82 624.91,128.38 621.34,128.38 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='621.34' y='124.82' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='580.93,187.04 582.72,190.61 579.15,190.61 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='579.15' y='187.04' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='580.93,210.59 582.72,214.15 579.15,214.15 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='579.15' y='210.59' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='529.23,162.47 531.01,166.04 527.45,166.04 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='527.45' y='162.47' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='529.23,185.37 531.01,188.93 527.45,188.93 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='527.45' y='185.37' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='477.70,176.26 479.48,179.82 475.92,179.82 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='475.92' y='176.26' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='477.70,179.53 479.48,183.09 475.92,183.09 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='475.92' y='179.53' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='455.29,179.72 457.07,183.28 453.51,183.28 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='453.51' y='179.72' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='455.29,181.68 457.07,185.24 453.51,185.24 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='453.51' y='181.68' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='441.22,185.40 443.00,188.96 439.44,188.96 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='439.44' y='185.40' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='441.22,189.97 443.00,193.54 439.44,193.54 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='439.44' y='189.97' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='686.50,203.34 690.06,203.34 690.06,199.78 686.50,199.78 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='686.50,107.19 690.06,107.19 690.06,103.63 686.50,103.63 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='676.71,186.55 680.28,186.55 680.28,182.98 676.71,182.98 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='676.71,196.36 680.28,196.36 680.28,192.80 676.71,192.80 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='658.74,211.04 662.30,211.04 662.30,207.47 658.74,207.47 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='658.74,186.18 662.30,186.18 662.30,182.62 658.74,182.62 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='628.28,152.77 631.84,152.77 631.84,149.21 628.28,149.21 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='628.28,199.86 631.84,199.86 631.84,196.30 628.28,196.30 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='588.48,165.11 592.05,165.11 592.05,161.55 588.48,161.55 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='588.48,195.20 592.05,195.20 592.05,191.64 588.48,191.64 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='540.36,185.73 543.93,185.73 543.93,182.16 540.36,182.16 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='540.36,186.38 543.93,186.38 543.93,182.82 540.36,182.82 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='492.01,190.73 495.57,190.73 495.57,187.17 492.01,187.17 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='492.01,178.96 495.57,178.96 495.57,175.39 492.01,175.39 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='469.27,169.20 472.83,169.20 472.83,165.63 469.27,165.63 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='469.27,188.16 472.83,188.16 472.83,184.60 469.27,184.60 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='453.67,169.92 457.23,169.92 457.23,166.36 453.67,166.36 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='453.67,186.28 457.23,186.28 457.23,182.71 453.67,182.71 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+</g>
+<defs>
+  <clipPath id='cpMzguOTd8MzQwLjA0fDMyMi40NXw1MjcuNTM='>
+    <rect x='38.97' y='322.45' width='301.08' height='205.08' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzguOTd8MzQwLjA0fDMyMi40NXw1MjcuNTM=)'>
+<polyline points='50.12,519.93 52.44,514.62 55.81,507.20 57.09,504.47 61.50,495.42 66.38,486.02 67.19,484.52 72.87,474.46 78.56,465.17 82.64,458.95 84.25,456.60 89.94,448.70 95.63,441.43 101.32,434.74 107.01,428.60 112.70,422.97 115.16,420.68 118.39,417.82 124.08,413.11 129.77,408.82 135.46,404.91 141.15,401.36 146.83,398.15 152.52,395.25 158.21,392.64 163.90,390.31 169.59,388.23 175.28,386.39 180.97,384.77 186.66,383.36 189.50,382.72 192.35,382.14 198.04,381.10 203.73,380.22 209.42,379.50 215.11,378.92 220.79,378.48 226.48,378.17 232.17,377.97 237.86,377.88 243.55,377.89 249.24,377.99 254.93,378.18 259.20,378.38 260.62,378.45 266.31,378.80 272.00,379.21 277.69,379.69 283.38,380.23 289.07,380.82 294.76,381.46 300.44,382.15 306.13,382.88 311.82,383.66 317.51,384.46 323.20,385.30 328.89,386.18 ' style='stroke-width: 1.50;' />
+</g>
+<g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
+<line x1='50.12' y1='527.53' x2='328.89' y2='527.53' style='stroke-width: 0.75;' />
+<line x1='50.12' y1='527.53' x2='50.12' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='96.58' y1='527.53' x2='96.58' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='143.04' y1='527.53' x2='143.04' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='189.50' y1='527.53' x2='189.50' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='235.97' y1='527.53' x2='235.97' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='282.43' y1='527.53' x2='282.43' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='328.89' y1='527.53' x2='328.89' y2='532.28' style='stroke-width: 0.75;' />
+<text x='50.12' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text x='96.58' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text x='143.04' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>40</text>
+<text x='189.50' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>60</text>
+<text x='235.97' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>80</text>
+<text x='282.43' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>100</text>
+<text x='328.89' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>120</text>
+<line x1='38.97' y1='519.93' x2='38.97' y2='342.47' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='519.93' x2='34.21' y2='519.93' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='475.57' x2='34.21' y2='475.57' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='431.20' x2='34.21' y2='431.20' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='386.84' x2='34.21' y2='386.84' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='342.47' x2='34.21' y2='342.47' style='stroke-width: 0.75;' />
+<text transform='translate(27.56,519.93) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text transform='translate(27.56,475.57) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>10</text>
+<text transform='translate(27.56,431.20) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text transform='translate(27.56,386.84) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>30</text>
+<text transform='translate(27.56,342.47) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>40</text>
+<polygon points='38.97,527.53 340.04,527.53 340.04,322.45 38.97,322.45 ' style='stroke-width: 0.75; fill: none;' />
+</g>
+<defs>
+  <clipPath id='cpMC4wMHwzNjAuMDB8MzEyLjAwfDU3Ni4wMA=='>
+    <rect x='0.00' y='312.00' width='360.00' height='264.00' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMC4wMHwzNjAuMDB8MzEyLjAwfDU3Ni4wMA==)'>
+<text x='189.50' y='563.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='17.60px' lengthAdjust='spacingAndGlyphs'>Time</text>
+<text transform='translate(8.55,424.99) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='46.23px' lengthAdjust='spacingAndGlyphs'>Residues m1</text>
+</g>
+<g clip-path='url(#cpMzguOTd8MzQwLjA0fDMyMi40NXw1MjcuNTM=)'>
+<circle cx='52.44' cy='516.38' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='52.44' cy='507.51' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='57.09' cy='500.86' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='57.09' cy='499.97' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='66.38' cy='477.79' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='66.38' cy='482.22' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='82.64' cy='453.39' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='82.64' cy='449.84' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='115.16' cy='417.01' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='115.16' cy='427.65' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='189.50' cy='407.25' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='189.50' cy='400.59' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='259.20' cy='405.91' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='259.20' cy='418.78' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='328.89' cy='408.58' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='328.89' cy='406.80' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polyline points='50.12,519.93 52.44,513.82 55.81,505.49 57.09,502.47 61.50,492.71 66.38,482.92 67.19,481.40 72.87,471.40 78.56,462.55 82.64,456.85 84.25,454.73 89.94,447.82 95.63,441.71 101.32,436.32 107.01,431.57 112.70,427.38 115.16,425.73 118.39,423.69 124.08,420.45 129.77,417.61 135.46,415.12 141.15,412.94 146.83,411.05 152.52,409.41 158.21,407.98 163.90,406.76 169.59,405.72 175.28,404.84 180.97,404.10 186.66,403.50 189.50,403.24 192.35,403.00 198.04,402.62 203.73,402.32 209.42,402.11 215.11,401.98 220.79,401.91 226.48,401.91 232.17,401.97 237.86,402.08 243.55,402.23 249.24,402.43 254.93,402.66 259.20,402.87 260.62,402.94 266.31,403.24 272.00,403.58 277.69,403.94 283.38,404.33 289.07,404.74 294.76,405.17 300.44,405.63 306.13,406.10 311.82,406.59 317.51,407.09 323.20,407.61 328.89,408.14 ' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 4.00,4.00;' />
+<polygon points='57.09,503.85 59.49,508.01 54.69,508.01 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='57.09,503.41 59.49,507.57 54.69,507.57 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='66.38,489.21 68.78,493.37 63.98,493.37 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='66.38,484.78 68.78,488.93 63.98,488.93 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='82.64,463.04 85.04,467.19 80.24,467.19 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='82.64,468.36 85.04,472.52 80.24,472.52 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='115.16,432.87 117.56,437.03 112.76,437.03 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='115.16,437.75 117.56,441.91 112.76,441.91 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='189.50,416.90 191.90,421.05 187.10,421.05 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='189.50,415.57 191.90,419.72 187.10,419.72 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='259.20,418.67 261.60,422.83 256.80,422.83 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='259.20,420.45 261.60,424.60 256.80,424.60 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='328.89,412.46 331.29,416.62 326.49,416.62 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='328.89,417.34 331.29,421.50 326.49,421.50 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polyline points='50.12,519.93 52.44,514.59 55.81,507.32 57.09,504.69 61.50,496.18 66.38,487.68 67.19,486.36 72.87,477.69 78.56,470.04 82.64,465.12 84.25,463.29 89.94,457.33 95.63,452.08 101.32,447.45 107.01,443.37 112.70,439.77 115.16,438.35 118.39,436.61 124.08,433.83 129.77,431.38 135.46,429.24 141.15,427.36 146.83,425.72 152.52,424.30 158.21,423.06 163.90,421.99 169.59,421.07 175.28,420.29 180.97,419.62 186.66,419.07 189.50,418.83 192.35,418.61 198.04,418.24 203.73,417.94 209.42,417.72 215.11,417.57 220.79,417.47 226.48,417.43 232.17,417.43 237.86,417.48 243.55,417.57 249.24,417.69 254.93,417.85 259.20,417.99 260.62,418.04 266.31,418.26 272.00,418.50 277.69,418.77 283.38,419.07 289.07,419.38 294.76,419.71 300.44,420.06 306.13,420.43 311.82,420.81 317.51,421.21 323.20,421.62 328.89,422.05 ' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 1.00,3.00;' />
+<line x1='49.92' y1='511.95' x2='54.96' y2='511.95' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='52.44' y1='514.47' x2='52.44' y2='509.43' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='49.92' y1='515.94' x2='54.96' y2='515.94' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='52.44' y1='518.46' x2='52.44' y2='513.42' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='54.57' y1='500.41' x2='59.61' y2='500.41' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='57.09' y1='502.93' x2='57.09' y2='497.89' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='54.57' y1='499.53' x2='59.61' y2='499.53' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='57.09' y1='502.05' x2='57.09' y2='497.01' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='63.86' y1='482.67' x2='68.90' y2='482.67' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='66.38' y1='485.19' x2='66.38' y2='480.15' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='63.86' y1='476.90' x2='68.90' y2='476.90' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='66.38' y1='479.42' x2='66.38' y2='474.38' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='80.12' y1='457.82' x2='85.16' y2='457.82' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='82.64' y1='460.34' x2='82.64' y2='455.30' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='80.12' y1='457.38' x2='85.16' y2='457.38' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='82.64' y1='459.90' x2='82.64' y2='454.86' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='112.64' y1='428.98' x2='117.68' y2='428.98' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='115.16' y1='431.51' x2='115.16' y2='426.46' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='112.64' y1='416.12' x2='117.68' y2='416.12' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='115.16' y1='418.64' x2='115.16' y2='413.60' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='186.98' y1='401.92' x2='192.02' y2='401.92' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='189.50' y1='404.44' x2='189.50' y2='399.40' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='186.98' y1='388.17' x2='192.02' y2='388.17' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='189.50' y1='390.69' x2='189.50' y2='385.65' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='256.68' y1='382.84' x2='261.72' y2='382.84' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='259.20' y1='385.36' x2='259.20' y2='380.32' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='256.68' y1='381.96' x2='261.72' y2='381.96' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='259.20' y1='384.48' x2='259.20' y2='379.44' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='326.37' y1='405.47' x2='331.41' y2='405.47' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='328.89' y1='407.99' x2='328.89' y2='402.95' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='326.37' y1='395.71' x2='331.41' y2='395.71' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='328.89' y1='398.23' x2='328.89' y2='393.19' style='stroke-width: 0.75; stroke: #2297E6;' />
+<polyline points='50.12,519.93 52.44,513.90 55.81,505.61 57.09,502.59 61.50,492.74 66.38,482.76 67.19,481.20 72.87,470.83 78.56,461.53 82.64,455.46 84.25,453.19 89.94,445.70 95.63,439.00 101.32,432.99 107.01,427.61 112.70,422.79 115.16,420.87 118.39,418.49 124.08,414.65 129.77,411.23 135.46,408.18 141.15,405.48 146.83,403.08 152.52,400.97 158.21,399.11 163.90,397.47 169.59,396.05 175.28,394.82 180.97,393.76 186.66,392.86 189.50,392.46 192.35,392.10 198.04,391.47 203.73,390.96 209.42,390.56 215.11,390.26 220.79,390.05 226.48,389.93 232.17,389.88 237.86,389.90 243.55,389.99 249.24,390.14 254.93,390.34 259.20,390.52 260.62,390.59 266.31,390.89 272.00,391.24 277.69,391.62 283.38,392.04 289.07,392.49 294.76,392.98 300.44,393.50 306.13,394.04 311.82,394.61 317.51,395.20 323.20,395.81 328.89,396.44 ' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<line x1='50.66' y1='519.05' x2='54.22' y2='515.49' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.66' y1='515.49' x2='54.22' y2='519.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.66' y1='513.29' x2='54.22' y2='509.72' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.66' y1='509.72' x2='54.22' y2='513.29' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='501.75' x2='58.87' y2='498.19' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='498.19' x2='58.87' y2='501.75' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='506.63' x2='58.87' y2='503.07' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='503.07' x2='58.87' y2='506.63' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='475.13' x2='68.16' y2='471.57' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='471.57' x2='68.16' y2='475.13' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='476.46' x2='68.16' y2='472.90' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='472.90' x2='68.16' y2='476.46' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='455.61' x2='84.42' y2='452.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='452.05' x2='84.42' y2='455.61' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='441.41' x2='84.42' y2='437.85' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='437.85' x2='84.42' y2='441.41' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='404.59' x2='116.95' y2='401.03' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='401.03' x2='116.95' y2='404.59' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='389.51' x2='116.95' y2='385.94' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='385.94' x2='116.95' y2='389.51' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='358.01' x2='191.29' y2='354.44' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='354.44' x2='191.29' y2='358.01' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='367.32' x2='191.29' y2='363.76' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='363.76' x2='191.29' y2='367.32' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='331.83' x2='260.98' y2='328.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='328.27' x2='260.98' y2='331.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='349.58' x2='260.98' y2='346.01' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='346.01' x2='260.98' y2='349.58' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='357.56' x2='330.67' y2='354.00' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='354.00' x2='330.67' y2='357.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='344.25' x2='330.67' y2='340.69' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='340.69' x2='330.67' y2='344.25' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polyline points='50.12,519.93 52.44,513.08 55.81,503.58 57.09,500.09 61.50,488.58 66.38,476.70 67.19,474.82 72.87,462.22 78.56,450.67 82.64,443.00 84.25,440.10 89.94,430.43 95.63,421.58 101.32,413.51 107.01,406.14 112.70,399.42 115.16,396.70 118.39,393.30 124.08,387.74 129.77,382.69 135.46,378.12 141.15,373.99 146.83,370.26 152.52,366.91 158.21,363.90 163.90,361.22 169.59,358.84 175.28,356.73 180.97,354.87 186.66,353.26 189.50,352.53 192.35,351.86 198.04,350.66 203.73,349.66 209.42,348.83 215.11,348.16 220.79,347.64 226.48,347.26 232.17,347.01 237.86,346.88 243.55,346.86 249.24,346.95 254.93,347.13 259.20,347.33 260.62,347.40 266.31,347.76 272.00,348.19 277.69,348.69 283.38,349.26 289.07,349.88 294.76,350.57 300.44,351.31 306.13,352.09 311.82,352.92 317.51,353.79 323.20,354.70 328.89,355.65 ' style='stroke-width: 0.75; stroke: #28E2E5; stroke-dasharray: 7.00,3.00;' />
+<polygon points='49.92,513.28 52.44,510.76 54.96,513.28 52.44,515.80 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='49.92,517.27 52.44,514.75 54.96,517.27 52.44,519.79 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='54.57,505.74 57.09,503.22 59.61,505.74 57.09,508.26 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='54.57,494.65 57.09,492.13 59.61,494.65 57.09,497.17 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='63.86,483.55 66.38,481.03 68.90,483.55 66.38,486.07 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='63.86,476.90 66.38,474.38 68.90,476.90 66.38,479.42 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='80.12,459.60 82.64,457.08 85.16,459.60 82.64,462.12 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='80.12,440.08 82.64,437.56 85.16,440.08 82.64,442.60 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='112.64,423.22 115.16,420.70 117.68,423.22 115.16,425.74 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='112.64,431.65 115.16,429.13 117.68,431.65 115.16,434.17 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='186.98,411.24 189.50,408.72 192.02,411.24 189.50,413.76 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='186.98,421.89 189.50,419.37 192.02,421.89 189.50,424.41 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='256.68,420.56 259.20,418.04 261.72,420.56 259.20,423.08 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='256.68,424.55 259.20,422.03 261.72,424.55 259.20,427.07 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='326.37,415.23 328.89,412.71 331.41,415.23 328.89,417.75 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='326.37,424.10 328.89,421.58 331.41,424.10 328.89,426.62 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polyline points='50.12,519.93 52.44,512.55 55.81,502.75 57.09,499.29 61.50,488.36 66.38,477.87 67.19,476.29 72.87,466.17 78.56,457.67 82.64,452.44 84.25,450.54 89.94,444.54 95.63,439.50 101.32,435.26 107.01,431.69 112.70,428.69 115.16,427.54 118.39,426.16 124.08,424.03 129.77,422.25 135.46,420.75 141.15,419.50 146.83,418.46 152.52,417.60 158.21,416.89 163.90,416.31 169.59,415.84 175.28,415.48 180.97,415.20 186.66,415.00 189.50,414.92 192.35,414.86 198.04,414.79 203.73,414.77 209.42,414.79 215.11,414.86 220.79,414.96 226.48,415.11 232.17,415.28 237.86,415.48 243.55,415.71 249.24,415.97 254.93,416.24 259.20,416.47 260.62,416.54 266.31,416.86 272.00,417.20 277.69,417.56 283.38,417.93 289.07,418.32 294.76,418.73 300.44,419.15 306.13,419.58 311.82,420.02 317.51,420.48 323.20,420.95 328.89,421.43 ' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+<polygon points='52.44,517.83 54.84,513.67 50.04,513.67 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='57.09,504.96 59.49,500.80 54.69,500.80 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='57.09,504.52 59.49,500.36 54.69,500.36 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='66.38,482.78 68.78,478.62 63.98,478.62 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='66.38,488.10 68.78,483.94 63.98,483.94 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='82.64,478.34 85.04,474.18 80.24,474.18 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='82.64,469.47 85.04,465.31 80.24,465.31 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='115.16,448.62 117.56,444.46 112.76,444.46 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='115.16,443.29 117.56,439.13 112.76,439.13 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='189.50,447.28 191.90,443.13 187.10,443.13 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='189.50,432.64 191.90,428.49 187.10,428.49 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='259.20,434.42 261.60,430.26 256.80,430.26 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='259.20,433.53 261.60,429.37 256.80,429.37 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='328.89,431.31 331.29,427.16 326.49,427.16 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='328.89,437.97 331.29,433.81 326.49,433.81 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polyline points='50.12,519.93 52.44,514.46 55.81,507.08 57.09,504.43 61.50,495.96 66.38,487.62 67.19,486.35 72.87,478.04 78.56,470.86 82.64,466.33 84.25,464.67 89.94,459.32 95.63,454.72 101.32,450.75 107.01,447.34 112.70,444.41 115.16,443.27 118.39,441.89 124.08,439.74 129.77,437.91 135.46,436.35 141.15,435.03 146.83,433.92 152.52,433.00 158.21,432.22 163.90,431.59 169.59,431.08 175.28,430.68 180.97,430.37 186.66,430.14 189.50,430.05 192.35,429.98 198.04,429.88 203.73,429.84 209.42,429.85 215.11,429.90 220.79,429.99 226.48,430.12 232.17,430.27 237.86,430.46 243.55,430.66 249.24,430.89 254.93,431.14 259.20,431.34 260.62,431.41 266.31,431.69 272.00,431.99 277.69,432.30 283.38,432.62 289.07,432.95 294.76,433.30 300.44,433.65 306.13,434.01 311.82,434.38 317.51,434.76 323.20,435.14 328.89,435.53 ' style='stroke-width: 0.75; stroke: #F5C710;' />
+<rect x='50.66' y='511.50' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='50.66' y1='515.06' x2='54.22' y2='511.50' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='50.66' y1='511.50' x2='54.22' y2='515.06' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='50.66' y='504.84' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='50.66' y1='508.41' x2='54.22' y2='504.84' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='50.66' y1='504.84' x2='54.22' y2='508.41' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='55.30' y='492.42' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='55.30' y1='495.98' x2='58.87' y2='492.42' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='55.30' y1='492.42' x2='58.87' y2='495.98' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='55.30' y='491.98' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='55.30' y1='495.54' x2='58.87' y2='491.98' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='55.30' y1='491.98' x2='58.87' y2='495.54' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='64.60' y='458.70' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='64.60' y1='462.27' x2='68.16' y2='458.70' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='64.60' y1='458.70' x2='68.16' y2='462.27' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='64.60' y='461.36' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='64.60' y1='464.93' x2='68.16' y2='461.36' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='64.60' y1='461.36' x2='68.16' y2='464.93' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='80.86' y='423.21' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='80.86' y1='426.77' x2='84.42' y2='423.21' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='80.86' y1='423.21' x2='84.42' y2='426.77' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='80.86' y='429.86' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='80.86' y1='433.43' x2='84.42' y2='429.86' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='80.86' y1='429.86' x2='84.42' y2='433.43' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='113.38' y='392.15' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='113.38' y1='395.72' x2='116.95' y2='392.15' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='113.38' y1='392.15' x2='116.95' y2='395.72' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='113.38' y='386.39' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='113.38' y1='389.95' x2='116.95' y2='386.39' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='113.38' y1='386.39' x2='116.95' y2='389.95' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='187.72' y='385.94' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='187.72' y1='389.51' x2='191.29' y2='385.94' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='187.72' y1='385.94' x2='191.29' y2='389.51' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='187.72' y='382.39' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='187.72' y1='385.96' x2='191.29' y2='382.39' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='187.72' y1='382.39' x2='191.29' y2='385.96' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='257.42' y='386.39' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='257.42' y1='389.95' x2='260.98' y2='386.39' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='257.42' y1='386.39' x2='260.98' y2='389.95' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='257.42' y='384.61' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='257.42' y1='388.18' x2='260.98' y2='384.61' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='257.42' y1='384.61' x2='260.98' y2='388.18' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='327.11' y='393.49' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='327.11' y1='397.05' x2='330.67' y2='393.49' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='327.11' y1='393.49' x2='330.67' y2='397.05' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='327.11' y='399.70' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='327.11' y1='403.26' x2='330.67' y2='399.70' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='327.11' y1='399.70' x2='330.67' y2='403.26' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<polyline points='50.12,519.93 52.44,509.12 55.81,494.98 57.09,490.03 61.50,474.66 66.38,460.23 67.19,458.09 72.87,444.53 78.56,433.43 82.64,426.71 84.25,424.30 89.94,416.79 95.63,410.59 101.32,405.46 107.01,401.22 112.70,397.69 115.16,396.36 118.39,394.77 124.08,392.35 129.77,390.34 135.46,388.69 141.15,387.33 146.83,386.23 152.52,385.34 158.21,384.64 163.90,384.11 169.59,383.71 175.28,383.45 180.97,383.29 186.66,383.24 189.50,383.25 192.35,383.28 198.04,383.39 203.73,383.58 209.42,383.84 215.11,384.16 220.79,384.54 226.48,384.97 232.17,385.44 237.86,385.96 243.55,386.52 249.24,387.12 254.93,387.76 259.20,388.26 260.62,388.43 266.31,389.12 272.00,389.85 277.69,390.60 283.38,391.38 289.07,392.18 294.76,393.00 300.44,393.84 306.13,394.70 311.82,395.57 317.51,396.46 323.20,397.36 328.89,398.27 ' style='stroke-width: 0.75; stroke: #9E9E9E; stroke-dasharray: 4.00,4.00;' />
+<line x1='50.66' y1='512.40' x2='54.22' y2='508.84' style='stroke-width: 0.75;' />
+<line x1='50.66' y1='508.84' x2='54.22' y2='512.40' style='stroke-width: 0.75;' />
+<line x1='49.92' y1='510.62' x2='54.96' y2='510.62' style='stroke-width: 0.75;' />
+<line x1='52.44' y1='513.14' x2='52.44' y2='508.10' style='stroke-width: 0.75;' />
+<line x1='50.66' y1='506.19' x2='54.22' y2='502.62' style='stroke-width: 0.75;' />
+<line x1='50.66' y1='502.62' x2='54.22' y2='506.19' style='stroke-width: 0.75;' />
+<line x1='49.92' y1='504.41' x2='54.96' y2='504.41' style='stroke-width: 0.75;' />
+<line x1='52.44' y1='506.93' x2='52.44' y2='501.89' style='stroke-width: 0.75;' />
+<line x1='55.30' y1='480.01' x2='58.87' y2='476.45' style='stroke-width: 0.75;' />
+<line x1='55.30' y1='476.45' x2='58.87' y2='480.01' style='stroke-width: 0.75;' />
+<line x1='54.57' y1='478.23' x2='59.61' y2='478.23' style='stroke-width: 0.75;' />
+<line x1='57.09' y1='480.75' x2='57.09' y2='475.71' style='stroke-width: 0.75;' />
+<line x1='55.30' y1='474.69' x2='58.87' y2='471.12' style='stroke-width: 0.75;' />
+<line x1='55.30' y1='471.12' x2='58.87' y2='474.69' style='stroke-width: 0.75;' />
+<line x1='54.57' y1='472.91' x2='59.61' y2='472.91' style='stroke-width: 0.75;' />
+<line x1='57.09' y1='475.43' x2='57.09' y2='470.39' style='stroke-width: 0.75;' />
+<line x1='64.60' y1='435.65' x2='68.16' y2='432.08' style='stroke-width: 0.75;' />
+<line x1='64.60' y1='432.08' x2='68.16' y2='435.65' style='stroke-width: 0.75;' />
+<line x1='63.86' y1='433.87' x2='68.90' y2='433.87' style='stroke-width: 0.75;' />
+<line x1='66.38' y1='436.39' x2='66.38' y2='431.34' style='stroke-width: 0.75;' />
+<line x1='64.60' y1='446.74' x2='68.16' y2='443.17' style='stroke-width: 0.75;' />
+<line x1='64.60' y1='443.17' x2='68.16' y2='446.74' style='stroke-width: 0.75;' />
+<line x1='63.86' y1='444.96' x2='68.90' y2='444.96' style='stroke-width: 0.75;' />
+<line x1='66.38' y1='447.48' x2='66.38' y2='442.44' style='stroke-width: 0.75;' />
+<line x1='80.86' y1='425.89' x2='84.42' y2='422.32' style='stroke-width: 0.75;' />
+<line x1='80.86' y1='422.32' x2='84.42' y2='425.89' style='stroke-width: 0.75;' />
+<line x1='80.12' y1='424.10' x2='85.16' y2='424.10' style='stroke-width: 0.75;' />
+<line x1='82.64' y1='426.62' x2='82.64' y2='421.58' style='stroke-width: 0.75;' />
+<line x1='80.86' y1='405.92' x2='84.42' y2='402.36' style='stroke-width: 0.75;' />
+<line x1='80.86' y1='402.36' x2='84.42' y2='405.92' style='stroke-width: 0.75;' />
+<line x1='80.12' y1='404.14' x2='85.16' y2='404.14' style='stroke-width: 0.75;' />
+<line x1='82.64' y1='406.66' x2='82.64' y2='401.62' style='stroke-width: 0.75;' />
+<line x1='113.38' y1='387.29' x2='116.95' y2='383.72' style='stroke-width: 0.75;' />
+<line x1='113.38' y1='383.72' x2='116.95' y2='387.29' style='stroke-width: 0.75;' />
+<line x1='112.64' y1='385.51' x2='117.68' y2='385.51' style='stroke-width: 0.75;' />
+<line x1='115.16' y1='388.03' x2='115.16' y2='382.99' style='stroke-width: 0.75;' />
+<line x1='113.38' y1='370.43' x2='116.95' y2='366.87' style='stroke-width: 0.75;' />
+<line x1='113.38' y1='366.87' x2='116.95' y2='370.43' style='stroke-width: 0.75;' />
+<line x1='112.64' y1='368.65' x2='117.68' y2='368.65' style='stroke-width: 0.75;' />
+<line x1='115.16' y1='371.17' x2='115.16' y2='366.13' style='stroke-width: 0.75;' />
+<line x1='187.72' y1='378.86' x2='191.29' y2='375.30' style='stroke-width: 0.75;' />
+<line x1='187.72' y1='375.30' x2='191.29' y2='378.86' style='stroke-width: 0.75;' />
+<line x1='186.98' y1='377.08' x2='192.02' y2='377.08' style='stroke-width: 0.75;' />
+<line x1='189.50' y1='379.60' x2='189.50' y2='374.56' style='stroke-width: 0.75;' />
+<line x1='187.72' y1='371.32' x2='191.29' y2='367.75' style='stroke-width: 0.75;' />
+<line x1='187.72' y1='367.75' x2='191.29' y2='371.32' style='stroke-width: 0.75;' />
+<line x1='186.98' y1='369.54' x2='192.02' y2='369.54' style='stroke-width: 0.75;' />
+<line x1='189.50' y1='372.06' x2='189.50' y2='367.01' style='stroke-width: 0.75;' />
+<line x1='257.42' y1='380.63' x2='260.98' y2='377.07' style='stroke-width: 0.75;' />
+<line x1='257.42' y1='377.07' x2='260.98' y2='380.63' style='stroke-width: 0.75;' />
+<line x1='256.68' y1='378.85' x2='261.72' y2='378.85' style='stroke-width: 0.75;' />
+<line x1='259.20' y1='381.37' x2='259.20' y2='376.33' style='stroke-width: 0.75;' />
+<line x1='257.42' y1='389.51' x2='260.98' y2='385.94' style='stroke-width: 0.75;' />
+<line x1='257.42' y1='385.94' x2='260.98' y2='389.51' style='stroke-width: 0.75;' />
+<line x1='256.68' y1='387.72' x2='261.72' y2='387.72' style='stroke-width: 0.75;' />
+<line x1='259.20' y1='390.25' x2='259.20' y2='385.20' style='stroke-width: 0.75;' />
+<line x1='327.11' y1='393.50' x2='330.67' y2='389.94' style='stroke-width: 0.75;' />
+<line x1='327.11' y1='389.94' x2='330.67' y2='393.50' style='stroke-width: 0.75;' />
+<line x1='326.37' y1='391.72' x2='331.41' y2='391.72' style='stroke-width: 0.75;' />
+<line x1='328.89' y1='394.24' x2='328.89' y2='389.20' style='stroke-width: 0.75;' />
+<line x1='327.11' y1='389.06' x2='330.67' y2='385.50' style='stroke-width: 0.75;' />
+<line x1='327.11' y1='385.50' x2='330.67' y2='389.06' style='stroke-width: 0.75;' />
+<line x1='326.37' y1='387.28' x2='331.41' y2='387.28' style='stroke-width: 0.75;' />
+<line x1='328.89' y1='389.80' x2='328.89' y2='384.76' style='stroke-width: 0.75;' />
+<polyline points='50.12,519.93 52.44,503.18 55.81,482.66 57.09,475.87 61.50,455.99 66.38,439.14 67.19,436.78 72.87,422.82 78.56,412.58 82.64,406.91 84.25,404.97 89.94,399.24 95.63,394.85 101.32,391.44 107.01,388.73 112.70,386.55 115.16,385.73 118.39,384.76 124.08,383.27 129.77,382.02 135.46,380.96 141.15,380.05 146.83,379.27 152.52,378.61 158.21,378.04 163.90,377.56 169.59,377.17 175.28,376.85 180.97,376.59 186.66,376.41 189.50,376.33 192.35,376.28 198.04,376.21 203.73,376.20 209.42,376.24 215.11,376.33 220.79,376.46 226.48,376.64 232.17,376.87 237.86,377.14 243.55,377.44 249.24,377.79 254.93,378.17 259.20,378.47 260.62,378.58 266.31,379.03 272.00,379.51 277.69,380.01 283.38,380.55 289.07,381.11 294.76,381.70 300.44,382.31 306.13,382.95 311.82,383.61 317.51,384.29 323.20,384.99 328.89,385.70 ' style='stroke-width: 0.75; stroke-dasharray: 1.00,3.00;' />
+<line x1='49.92' y1='503.52' x2='54.96' y2='503.52' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='52.44' y1='506.04' x2='52.44' y2='501.00' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='49.92,503.52 52.44,501.00 54.96,503.52 52.44,506.04 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='49.92' y1='509.73' x2='54.96' y2='509.73' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='52.44' y1='512.25' x2='52.44' y2='507.21' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='49.92,509.73 52.44,507.21 54.96,509.73 52.44,512.25 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='54.57' y1='504.41' x2='59.61' y2='504.41' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='57.09' y1='506.93' x2='57.09' y2='501.89' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='54.57,504.41 57.09,501.89 59.61,504.41 57.09,506.93 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='54.57' y1='489.32' x2='59.61' y2='489.32' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='57.09' y1='491.84' x2='57.09' y2='486.80' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='54.57,489.32 57.09,486.80 59.61,489.32 57.09,491.84 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='63.86' y1='444.07' x2='68.90' y2='444.07' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='66.38' y1='446.59' x2='66.38' y2='441.55' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='63.86,444.07 66.38,441.55 68.90,444.07 66.38,446.59 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='63.86' y1='448.06' x2='68.90' y2='448.06' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='66.38' y1='450.58' x2='66.38' y2='445.54' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='63.86,448.06 66.38,445.54 68.90,448.06 66.38,450.58 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='80.12' y1='418.78' x2='85.16' y2='418.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='82.64' y1='421.30' x2='82.64' y2='416.26' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='80.12,418.78 82.64,416.26 85.16,418.78 82.64,421.30 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='80.12' y1='407.69' x2='85.16' y2='407.69' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='82.64' y1='410.21' x2='82.64' y2='405.17' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='80.12,407.69 82.64,405.17 85.16,407.69 82.64,410.21 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='112.64' y1='361.99' x2='117.68' y2='361.99' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='115.16' y1='364.51' x2='115.16' y2='359.47' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='112.64,361.99 115.16,359.47 117.68,361.99 115.16,364.51 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='112.64' y1='354.45' x2='117.68' y2='354.45' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='115.16' y1='356.97' x2='115.16' y2='351.93' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='112.64,354.45 115.16,351.93 117.68,354.45 115.16,356.97 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='186.98' y1='366.87' x2='192.02' y2='366.87' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='189.50' y1='369.39' x2='189.50' y2='364.35' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='186.98,366.87 189.50,364.35 192.02,366.87 189.50,369.39 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='186.98' y1='336.26' x2='192.02' y2='336.26' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='189.50' y1='338.78' x2='189.50' y2='333.74' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='186.98,336.26 189.50,333.74 192.02,336.26 189.50,338.78 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='256.68' y1='347.35' x2='261.72' y2='347.35' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='259.20' y1='349.87' x2='259.20' y2='344.83' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='256.68,347.35 259.20,344.83 261.72,347.35 259.20,349.87 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='256.68' y1='354.01' x2='261.72' y2='354.01' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='259.20' y1='356.53' x2='259.20' y2='351.49' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='256.68,354.01 259.20,351.49 261.72,354.01 259.20,356.53 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='326.37' y1='359.77' x2='331.41' y2='359.77' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='328.89' y1='362.29' x2='328.89' y2='357.25' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='326.37,359.77 328.89,357.25 331.41,359.77 328.89,362.29 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='326.37' y1='373.97' x2='331.41' y2='373.97' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='328.89' y1='376.49' x2='328.89' y2='371.45' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='326.37,373.97 328.89,371.45 331.41,373.97 328.89,376.49 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<polyline points='50.12,519.93 52.44,506.86 55.81,489.76 57.09,483.79 61.50,465.19 66.38,447.73 67.19,445.13 72.87,428.73 78.56,415.28 82.64,407.14 84.25,404.22 89.94,395.12 95.63,387.59 101.32,381.35 107.01,376.17 112.70,371.86 115.16,370.22 118.39,368.26 124.08,365.24 129.77,362.72 135.46,360.61 141.15,358.84 146.83,357.36 152.52,356.13 158.21,355.11 163.90,354.27 169.59,353.59 175.28,353.05 180.97,352.64 186.66,352.34 189.50,352.22 192.35,352.13 198.04,352.02 203.73,351.98 209.42,352.02 215.11,352.13 220.79,352.30 226.48,352.53 232.17,352.82 237.86,353.15 243.55,353.54 249.24,353.97 254.93,354.44 259.20,354.82 260.62,354.96 266.31,355.51 272.00,356.09 277.69,356.72 283.38,357.37 289.07,358.05 294.76,358.76 300.44,359.50 306.13,360.27 311.82,361.06 317.51,361.87 323.20,362.71 328.89,363.56 ' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<circle cx='52.44' cy='510.17' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='50.66' y1='510.17' x2='54.22' y2='510.17' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='52.44' y1='511.96' x2='52.44' y2='508.39' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='52.44' cy='511.50' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='50.66' y1='511.50' x2='54.22' y2='511.50' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='52.44' y1='513.29' x2='52.44' y2='509.72' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='57.09' cy='504.85' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='55.30' y1='504.85' x2='58.87' y2='504.85' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='57.09' y1='506.63' x2='57.09' y2='503.07' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='57.09' cy='503.96' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='55.30' y1='503.96' x2='58.87' y2='503.96' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='57.09' y1='505.74' x2='57.09' y2='502.18' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='66.38' cy='477.34' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='64.60' y1='477.34' x2='68.16' y2='477.34' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='66.38' y1='479.13' x2='66.38' y2='475.56' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='66.38' cy='483.11' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='64.60' y1='483.11' x2='68.16' y2='483.11' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='66.38' y1='484.89' x2='66.38' y2='481.33' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='82.64' cy='444.96' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='80.86' y1='444.96' x2='84.42' y2='444.96' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='82.64' y1='446.74' x2='82.64' y2='443.17' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='82.64' cy='447.17' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='80.86' y1='447.17' x2='84.42' y2='447.17' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='82.64' y1='448.96' x2='82.64' y2='445.39' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='115.16' cy='405.91' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='113.38' y1='405.91' x2='116.95' y2='405.91' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='115.16' y1='407.70' x2='115.16' y2='404.13' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='115.16' cy='407.69' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='113.38' y1='407.69' x2='116.95' y2='407.69' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='115.16' y1='409.47' x2='115.16' y2='405.91' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='189.50' cy='382.40' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='187.72' y1='382.40' x2='191.29' y2='382.40' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='189.50' y1='384.18' x2='189.50' y2='380.62' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='189.50' cy='355.78' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='187.72' y1='355.78' x2='191.29' y2='355.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='189.50' y1='357.56' x2='189.50' y2='354.00' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='259.20' cy='338.48' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='257.42' y1='338.48' x2='260.98' y2='338.48' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='259.20' y1='340.26' x2='259.20' y2='336.70' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='259.20' cy='339.37' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='257.42' y1='339.37' x2='260.98' y2='339.37' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='259.20' y1='341.15' x2='259.20' y2='337.58' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='328.89' cy='368.65' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='327.11' y1='368.65' x2='330.67' y2='368.65' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='328.89' y1='370.43' x2='328.89' y2='366.87' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='328.89' cy='353.12' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='327.11' y1='353.12' x2='330.67' y2='353.12' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='328.89' y1='354.90' x2='328.89' y2='351.34' style='stroke-width: 0.75; stroke: #61D04F;' />
+<polyline points='50.12,519.93 52.44,513.05 55.81,503.55 57.09,500.07 61.50,488.66 66.38,476.98 67.19,475.14 72.87,462.85 78.56,451.70 82.64,444.35 84.25,441.58 89.94,432.39 95.63,424.06 101.32,416.51 107.01,409.68 112.70,403.49 115.16,401.00 118.39,397.90 124.08,392.85 129.77,388.29 135.46,384.19 141.15,380.50 146.83,377.19 152.52,374.23 158.21,371.58 163.90,369.23 169.59,367.14 175.28,365.30 180.97,363.68 186.66,362.27 189.50,361.64 192.35,361.05 198.04,360.00 203.73,359.11 209.42,358.37 215.11,357.77 220.79,357.29 226.48,356.93 232.17,356.68 237.86,356.52 243.55,356.45 249.24,356.47 254.93,356.57 259.20,356.69 260.62,356.73 266.31,356.97 272.00,357.26 277.69,357.62 283.38,358.02 289.07,358.48 294.76,358.98 300.44,359.52 306.13,360.10 311.82,360.72 317.51,361.37 323.20,362.06 328.89,362.77 ' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 7.00,3.00;' />
+<polygon points='52.44,516.05 54.84,511.20 50.04,511.20 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='52.44,510.51 54.84,515.36 50.04,515.36 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='52.44,512.95 54.84,508.10 50.04,508.10 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='52.44,507.40 54.84,512.25 50.04,512.25 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='57.09,513.39 59.49,508.54 54.69,508.54 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='57.09,507.85 59.49,512.70 54.69,512.70 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='57.09,504.07 59.49,499.22 54.69,499.22 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='57.09,498.53 59.49,503.38 54.69,503.38 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.38,493.87 68.78,489.02 63.98,489.02 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.38,488.33 68.78,493.18 63.98,493.18 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.38,489.87 68.78,485.03 63.98,485.03 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='66.38,484.33 68.78,489.18 63.98,489.18 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='82.64,476.12 85.04,471.27 80.24,471.27 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='82.64,470.58 85.04,475.43 80.24,475.43 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='82.64,473.02 85.04,468.17 80.24,468.17 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='82.64,467.47 85.04,472.32 80.24,472.32 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='115.16,455.27 117.56,450.42 112.76,450.42 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='115.16,449.73 117.56,454.58 112.76,454.58 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='115.16,449.50 117.56,444.65 112.76,444.65 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='115.16,443.96 117.56,448.81 112.76,448.81 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='189.50,426.88 191.90,422.03 187.10,422.03 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='189.50,421.33 191.90,426.18 187.10,426.18 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='189.50,426.88 191.90,422.03 187.10,422.03 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='189.50,421.33 191.90,426.18 187.10,426.18 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='259.20,437.52 261.60,432.67 256.80,432.67 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='259.20,431.98 261.60,436.83 256.80,436.83 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='259.20,423.77 261.60,418.92 256.80,418.92 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='259.20,418.23 261.60,423.08 256.80,423.08 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='328.89,425.54 331.29,420.70 326.49,420.70 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='328.89,420.00 331.29,424.85 326.49,424.85 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='328.89,435.31 331.29,430.46 326.49,430.46 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='328.89,429.76 331.29,434.61 326.49,434.61 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polyline points='50.12,519.93 52.44,516.29 55.81,511.21 57.09,509.35 61.50,503.17 66.38,496.78 67.19,495.77 72.87,488.95 78.56,482.67 82.64,478.48 84.25,476.89 89.94,471.57 95.63,466.68 101.32,462.19 107.01,458.06 112.70,454.27 115.16,452.73 118.39,450.79 124.08,447.61 129.77,444.69 135.46,442.02 141.15,439.58 146.83,437.35 152.52,435.32 158.21,433.47 163.90,431.79 169.59,430.27 175.28,428.90 180.97,427.66 186.66,426.55 189.50,426.03 192.35,425.55 198.04,424.66 203.73,423.87 209.42,423.18 215.11,422.57 220.79,422.04 226.48,421.59 232.17,421.21 237.86,420.89 243.55,420.63 249.24,420.43 254.93,420.28 259.20,420.21 260.62,420.18 266.31,420.13 272.00,420.12 277.69,420.15 283.38,420.21 289.07,420.31 294.76,420.44 300.44,420.60 306.13,420.79 311.82,421.01 317.51,421.25 323.20,421.51 328.89,421.79 ' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+<line x1='50.66' y1='516.83' x2='54.22' y2='516.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.44' y1='518.61' x2='52.44' y2='515.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='50.66' y='515.05' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='50.66' y1='513.28' x2='54.22' y2='513.28' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.44' y1='515.06' x2='52.44' y2='511.50' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='50.66' y='511.50' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='503.96' x2='58.87' y2='503.96' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='57.09' y1='505.74' x2='57.09' y2='502.18' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='55.30' y='502.18' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='55.30' y1='506.62' x2='58.87' y2='506.62' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='57.09' y1='508.41' x2='57.09' y2='504.84' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='55.30' y='504.84' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='494.65' x2='68.16' y2='494.65' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='66.38' y1='496.43' x2='66.38' y2='492.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='64.60' y='492.86' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='64.60' y1='495.09' x2='68.16' y2='495.09' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='66.38' y1='496.87' x2='66.38' y2='493.31' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='64.60' y='493.31' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='468.91' x2='84.42' y2='468.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='82.64' y1='470.70' x2='82.64' y2='467.13' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='80.86' y='467.13' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='80.86' y1='467.14' x2='84.42' y2='467.14' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='82.64' y1='468.92' x2='82.64' y2='465.36' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='80.86' y='465.36' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='432.53' x2='116.95' y2='432.53' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='115.16' y1='434.32' x2='115.16' y2='430.75' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='113.38' y='430.75' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='113.38' y1='437.86' x2='116.95' y2='437.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='115.16' y1='439.64' x2='115.16' y2='436.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='113.38' y='436.08' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='414.79' x2='191.29' y2='414.79' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.50' y1='416.57' x2='189.50' y2='413.01' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='187.72' y='413.01' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='187.72' y1='411.68' x2='191.29' y2='411.68' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.50' y1='413.46' x2='189.50' y2='409.90' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='187.72' y='409.90' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='411.68' x2='260.98' y2='411.68' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='259.20' y1='413.46' x2='259.20' y2='409.90' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='257.42' y='409.90' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='257.42' y1='421.00' x2='260.98' y2='421.00' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='259.20' y1='422.78' x2='259.20' y2='419.22' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='257.42' y='419.22' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='433.87' x2='330.67' y2='433.87' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='328.89' y1='435.65' x2='328.89' y2='432.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='327.11' y='432.08' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='327.11' y1='428.10' x2='330.67' y2='428.10' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='328.89' y1='429.88' x2='328.89' y2='426.32' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='327.11' y='426.32' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polyline points='50.12,519.93 52.44,515.46 55.81,509.28 57.09,507.03 61.50,499.64 66.38,492.08 67.19,490.90 72.87,482.98 78.56,475.82 82.64,471.11 84.25,469.34 89.94,463.47 95.63,458.17 101.32,453.38 107.01,449.06 112.70,445.16 115.16,443.59 118.39,441.65 124.08,438.49 129.77,435.64 135.46,433.09 141.15,430.81 146.83,428.77 152.52,426.95 158.21,425.34 163.90,423.91 169.59,422.65 175.28,421.55 180.97,420.59 186.66,419.76 189.50,419.39 192.35,419.05 198.04,418.44 203.73,417.94 209.42,417.54 215.11,417.22 220.79,416.97 226.48,416.80 232.17,416.70 237.86,416.66 243.55,416.67 249.24,416.74 254.93,416.85 259.20,416.97 260.62,417.01 266.31,417.21 272.00,417.45 277.69,417.73 283.38,418.03 289.07,418.37 294.76,418.73 300.44,419.12 306.13,419.54 311.82,419.98 317.51,420.44 323.20,420.91 328.89,421.41 ' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<circle cx='52.44' cy='513.72' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='50.66' y1='515.51' x2='54.22' y2='511.94' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='50.66' y1='511.94' x2='54.22' y2='515.51' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='52.44' cy='517.72' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='50.66' y1='519.50' x2='54.22' y2='515.93' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='50.66' y1='515.93' x2='54.22' y2='519.50' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='57.09' cy='509.29' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='55.30' y1='511.07' x2='58.87' y2='507.50' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='55.30' y1='507.50' x2='58.87' y2='511.07' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='57.09' cy='502.63' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='55.30' y1='504.41' x2='58.87' y2='500.85' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='55.30' y1='500.85' x2='58.87' y2='504.41' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='66.38' cy='484.44' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='64.60' y1='486.22' x2='68.16' y2='482.66' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='64.60' y1='482.66' x2='68.16' y2='486.22' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='66.38' cy='492.87' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='64.60' y1='494.65' x2='68.16' y2='491.09' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='64.60' y1='491.09' x2='68.16' y2='494.65' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='82.64' cy='459.15' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='80.86' y1='460.94' x2='84.42' y2='457.37' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='80.86' y1='457.37' x2='84.42' y2='460.94' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='82.64' cy='464.92' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='80.86' y1='466.70' x2='84.42' y2='463.14' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='80.86' y1='463.14' x2='84.42' y2='466.70' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='115.16' cy='437.86' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='113.38' y1='439.64' x2='116.95' y2='436.08' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='113.38' y1='436.08' x2='116.95' y2='439.64' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='115.16' cy='430.76' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='113.38' y1='432.54' x2='116.95' y2='428.98' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='113.38' y1='428.98' x2='116.95' y2='432.54' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='189.50' cy='413.90' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='187.72' y1='415.68' x2='191.29' y2='412.12' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='187.72' y1='412.12' x2='191.29' y2='415.68' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='189.50' cy='413.01' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='187.72' y1='414.80' x2='191.29' y2='411.23' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='187.72' y1='411.23' x2='191.29' y2='414.80' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='259.20' cy='388.17' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='257.42' y1='389.95' x2='260.98' y2='386.39' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='257.42' y1='386.39' x2='260.98' y2='389.95' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='259.20' cy='393.49' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='257.42' y1='395.27' x2='260.98' y2='391.71' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='257.42' y1='391.71' x2='260.98' y2='395.27' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='328.89' cy='404.14' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='327.11' y1='405.92' x2='330.67' y2='402.36' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='327.11' y1='402.36' x2='330.67' y2='405.92' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='328.89' cy='410.80' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='327.11' y1='412.58' x2='330.67' y2='409.01' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='327.11' y1='409.01' x2='330.67' y2='412.58' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<polyline points='50.12,519.93 52.44,514.28 55.81,506.52 57.09,503.71 61.50,494.53 66.38,485.26 67.19,483.81 72.87,474.23 78.56,465.66 82.64,460.09 84.25,458.01 89.94,451.17 95.63,445.06 101.32,439.62 107.01,434.76 112.70,430.43 115.16,428.70 118.39,426.57 124.08,423.15 129.77,420.11 135.46,417.42 141.15,415.04 146.83,412.95 152.52,411.11 158.21,409.50 163.90,408.10 169.59,406.90 175.28,405.86 180.97,404.98 186.66,404.24 189.50,403.93 192.35,403.64 198.04,403.15 203.73,402.76 209.42,402.48 215.11,402.28 220.79,402.17 226.48,402.13 232.17,402.16 237.86,402.25 243.55,402.41 249.24,402.61 254.93,402.86 259.20,403.08 260.62,403.16 266.31,403.50 272.00,403.88 277.69,404.29 283.38,404.74 289.07,405.22 294.76,405.72 300.44,406.25 306.13,406.81 311.82,407.38 317.51,407.98 323.20,408.60 328.89,409.23 ' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 4.00,4.00;' />
+<polygon points='52.44,511.50 54.22,515.06 50.66,515.06 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='50.66' y='511.50' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='52.44,499.08 54.22,502.64 50.66,502.64 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='50.66' y='499.08' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='57.09,494.64 58.87,498.20 55.30,498.20 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='55.30' y='494.64' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='57.09,499.08 58.87,502.64 55.30,502.64 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='55.30' y='499.08' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='66.38,464.47 68.16,468.03 64.60,468.03 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='64.60' y='464.47' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='66.38,468.46 68.16,472.03 64.60,472.03 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='64.60' y='468.46' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='82.64,436.96 84.42,440.53 80.86,440.53 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='80.86' y='436.96' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='82.64,439.63 84.42,443.19 80.86,443.19 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='80.86' y='439.63' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='115.16,413.01 116.95,416.57 113.38,416.57 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='113.38' y='413.01' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='115.16,408.57 116.95,412.13 113.38,412.13 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='113.38' y='408.57' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='189.50,394.37 191.29,397.94 187.72,397.94 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='187.72' y='394.37' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='189.50,396.59 191.29,400.15 187.72,400.15 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='187.72' y='396.59' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='259.20,399.25 260.98,402.82 257.42,402.82 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='257.42' y='399.25' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='259.20,387.72 260.98,391.28 257.42,391.28 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='257.42' y='387.72' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='328.89,403.69 330.67,407.25 327.11,407.25 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='327.11' y='403.69' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='328.89,391.27 330.67,394.83 327.11,394.83 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='327.11' y='391.27' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polyline points='50.12,519.93 52.44,512.29 55.81,501.99 57.09,498.30 61.50,486.48 66.38,474.86 67.19,473.07 72.87,461.48 78.56,451.44 82.64,445.09 84.25,442.76 89.94,435.24 95.63,428.73 101.32,423.09 107.01,418.22 112.70,414.00 115.16,412.35 118.39,410.35 124.08,407.21 129.77,404.49 135.46,402.16 141.15,400.16 146.83,398.45 152.52,396.99 158.21,395.76 163.90,394.73 169.59,393.87 175.28,393.17 180.97,392.61 186.66,392.18 189.50,392.00 192.35,391.85 198.04,391.62 203.73,391.48 209.42,391.43 215.11,391.44 220.79,391.52 226.48,391.66 232.17,391.86 237.86,392.10 243.55,392.40 249.24,392.73 254.93,393.10 259.20,393.41 260.62,393.51 266.31,393.95 272.00,394.42 277.69,394.92 283.38,395.45 289.07,396.00 294.76,396.58 300.44,397.17 306.13,397.79 311.82,398.42 317.51,399.07 323.20,399.74 328.89,400.42 ' style='stroke-width: 0.75; stroke: #F5C710; stroke-dasharray: 1.00,3.00;' />
+<polygon points='50.66,505.30 54.22,505.30 54.22,501.74 50.66,501.74 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='50.66,518.17 54.22,518.17 54.22,514.60 50.66,514.60 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='55.30,500.86 58.87,500.86 58.87,497.30 55.30,497.30 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='55.30,499.98 58.87,499.98 58.87,496.41 55.30,496.41 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='64.60,479.13 68.16,479.13 68.16,475.56 64.60,475.56 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='64.60,473.36 68.16,473.36 68.16,469.79 64.60,469.79 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='80.86,434.32 84.42,434.32 84.42,430.75 80.86,430.75 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='80.86,441.86 84.42,441.86 84.42,438.29 80.86,438.29 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='113.38,417.01 116.95,417.01 116.95,413.45 113.38,413.45 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='113.38,418.34 116.95,418.34 116.95,414.78 113.38,414.78 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='187.72,388.62 191.29,388.62 191.29,385.06 187.72,385.06 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='187.72,385.51 191.29,385.51 191.29,381.95 187.72,381.95 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='257.42,395.27 260.98,395.27 260.98,391.71 257.42,391.71 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='257.42,388.18 260.98,388.18 260.98,384.61 257.42,384.61 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='327.11,373.09 330.67,373.09 330.67,369.53 327.11,369.53 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='327.11,401.49 330.67,401.49 330.67,397.92 327.11,397.92 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polyline points='50.12,519.93 52.44,511.68 55.81,500.58 57.09,496.62 61.50,483.95 66.38,471.54 67.19,469.64 72.87,457.33 78.56,446.73 82.64,440.05 84.25,437.60 89.94,429.73 95.63,422.94 101.32,417.08 107.01,412.03 112.70,407.67 115.16,405.97 118.39,403.91 124.08,400.67 129.77,397.87 135.46,395.46 141.15,393.39 146.83,391.62 152.52,390.10 158.21,388.80 163.90,387.71 169.59,386.78 175.28,386.01 180.97,385.38 186.66,384.86 189.50,384.65 192.35,384.46 198.04,384.15 203.73,383.92 209.42,383.77 215.11,383.70 220.79,383.68 226.48,383.73 232.17,383.82 237.86,383.97 243.55,384.16 249.24,384.39 254.93,384.66 259.20,384.88 260.62,384.96 266.31,385.30 272.00,385.67 277.69,386.07 283.38,386.49 289.07,386.94 294.76,387.41 300.44,387.91 306.13,388.42 311.82,388.96 317.51,389.51 323.20,390.08 328.89,390.67 ' style='stroke-width: 0.75; stroke: #9E9E9E; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+</g>
+<defs>
+  <clipPath id='cpMzk4Ljk3fDcwMC4wNHwzMjIuNDV8NTI3LjUz'>
+    <rect x='398.97' y='322.45' width='301.08' height='205.08' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzk4Ljk3fDcwMC4wNHwzMjIuNDV8NTI3LjUz)'>
+</g>
+<g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
+<line x1='410.12' y1='527.53' x2='695.96' y2='527.53' style='stroke-width: 0.75;' />
+<line x1='410.12' y1='527.53' x2='410.12' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='481.58' y1='527.53' x2='481.58' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='553.04' y1='527.53' x2='553.04' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='624.50' y1='527.53' x2='624.50' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='695.96' y1='527.53' x2='695.96' y2='532.28' style='stroke-width: 0.75;' />
+<text x='410.12' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text x='481.58' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>10</text>
+<text x='553.04' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text x='624.50' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>30</text>
+<text x='695.96' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>40</text>
+<line x1='398.97' y1='501.47' x2='398.97' y2='348.52' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='501.47' x2='394.21' y2='501.47' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='463.23' x2='394.21' y2='463.23' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='424.99' x2='394.21' y2='424.99' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='386.76' x2='394.21' y2='386.76' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='348.52' x2='394.21' y2='348.52' style='stroke-width: 0.75;' />
+<text transform='translate(387.56,501.47) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='7.04px' lengthAdjust='spacingAndGlyphs'>-4</text>
+<text transform='translate(387.56,463.23) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='7.04px' lengthAdjust='spacingAndGlyphs'>-2</text>
+<text transform='translate(387.56,424.99) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text transform='translate(387.56,386.76) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>2</text>
+<text transform='translate(387.56,348.52) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>4</text>
+<polygon points='398.97,527.53 700.04,527.53 700.04,322.45 398.97,322.45 ' style='stroke-width: 0.75; fill: none;' />
+</g>
+<defs>
+  <clipPath id='cpMzYwLjAwfDcyMC4wMHwzMTIuMDB8NTc2LjAw'>
+    <rect x='360.00' y='312.00' width='360.00' height='264.00' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzYwLjAwfDcyMC4wMHwzMTIuMDB8NTc2LjAw)'>
+<text x='549.50' y='563.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='33.46px' lengthAdjust='spacingAndGlyphs'>Predicted</text>
+<text transform='translate(368.55,424.99) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='76.62px' lengthAdjust='spacingAndGlyphs'>Standardized residual</text>
+</g>
+<g clip-path='url(#cpMzk4Ljk3fDcwMC4wNHwzMjIuNDV8NTI3LjUz)'>
+<line x1='398.97' y1='424.99' x2='700.04' y2='424.99' style='stroke-width: 0.75; stroke-dasharray: 4.00,4.00;' />
+<circle cx='419.96' cy='428.85' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='419.96' cy='415.50' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='438.24' cy='422.56' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='438.24' cy='421.22' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='469.74' cy='417.28' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='469.74' cy='423.95' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='511.74' cy='419.79' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='511.74' cy='414.45' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='561.86' cy='411.88' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='561.86' cy='427.89' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='598.09' cy='431.02' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='598.09' cy='421.01' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='598.69' cy='429.58' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='598.69' cy='448.93' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='590.18' cy='425.64' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='590.18' cy='422.97' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='434.68,425.13 437.08,429.29 432.28,429.29 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='434.68,424.47 437.08,428.62 432.28,428.62 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='462.08,428.70 464.48,432.86 459.68,432.86 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='462.08,422.03 464.48,426.18 459.68,426.18 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='498.41,423.26 500.81,427.42 496.01,427.42 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='498.41,431.27 500.81,435.42 496.01,435.42 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='541.52,418.14 543.92,422.30 539.12,422.30 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='541.52,425.48 543.92,429.64 539.12,429.64 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='572.98,423.49 575.38,427.65 570.58,427.65 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='572.98,421.49 575.38,425.64 570.58,425.64 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='574.32,427.41 576.72,431.57 571.92,431.57 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='574.32,430.08 576.72,434.24 571.92,434.24 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='567.79,411.97 570.19,416.13 565.39,416.13 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='567.79,419.31 570.19,423.47 565.39,423.47 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<line x1='417.32' y1='422.06' x2='422.36' y2='422.06' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='419.84' y1='424.58' x2='419.84' y2='419.54' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='417.32' y1='428.07' x2='422.36' y2='428.07' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='419.84' y1='430.59' x2='419.84' y2='425.55' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='435.54' y1='421.72' x2='440.58' y2='421.72' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='438.06' y1='424.24' x2='438.06' y2='419.20' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='435.54' y1='420.39' x2='440.58' y2='420.39' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='438.06' y1='422.91' x2='438.06' y2='417.87' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='467.48' y1='424.86' x2='472.52' y2='424.86' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='470.00' y1='427.38' x2='470.00' y2='422.34' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='467.48' y1='416.18' x2='472.52' y2='416.18' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='470.00' y1='418.70' x2='470.00' y2='413.66' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='511.45' y1='428.55' x2='516.49' y2='428.55' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='513.97' y1='431.07' x2='513.97' y2='426.03' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='511.45' y1='427.88' x2='516.49' y2='427.88' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='513.97' y1='430.40' x2='513.97' y2='425.36' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='567.17' y1='437.20' x2='572.21' y2='437.20' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='569.69' y1='439.72' x2='569.69' y2='434.68' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='567.17' y1='417.85' x2='572.21' y2='417.85' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='569.69' y1='420.37' x2='569.69' y2='415.33' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='612.93' y1='439.22' x2='617.97' y2='439.22' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='615.45' y1='441.74' x2='615.45' y2='436.70' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='612.93' y1='418.54' x2='617.97' y2='418.54' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='615.45' y1='421.06' x2='615.45' y2='416.02' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='616.04' y1='413.44' x2='621.09' y2='413.44' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='618.56' y1='415.96' x2='618.56' y2='410.92' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='616.04' y1='412.11' x2='621.09' y2='412.11' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='618.56' y1='414.63' x2='618.56' y2='409.59' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='606.51' y1='438.57' x2='611.55' y2='438.57' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='609.03' y1='441.09' x2='609.03' y2='436.05' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='606.51' y1='423.89' x2='611.55' y2='423.89' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='609.03' y1='426.41' x2='609.03' y2='421.37' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='419.37' y1='433.07' x2='422.93' y2='429.51' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='419.37' y1='429.51' x2='422.93' y2='433.07' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='419.37' y1='424.40' x2='422.93' y2='420.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='419.37' y1='420.83' x2='422.93' y2='424.40' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='440.30' y1='426.60' x2='443.87' y2='423.03' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='440.30' y1='423.03' x2='443.87' y2='426.60' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='440.30' y1='433.94' x2='443.87' y2='430.37' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='440.30' y1='430.37' x2='443.87' y2='433.94' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='477.98' y1='421.74' x2='481.54' y2='418.18' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='477.98' y1='418.18' x2='481.54' y2='421.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='477.98' y1='423.74' x2='481.54' y2='420.18' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='477.98' y1='420.18' x2='481.54' y2='423.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='532.26' y1='443.06' x2='535.82' y2='439.50' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='532.26' y1='439.50' x2='535.82' y2='443.06' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='532.26' y1='421.71' x2='535.82' y2='418.15' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='532.26' y1='418.15' x2='535.82' y2='421.71' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='606.84' y1='435.97' x2='610.40' y2='432.40' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='606.84' y1='432.40' x2='610.40' y2='435.97' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='606.84' y1='413.28' x2='610.40' y2='409.72' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='606.84' y1='409.72' x2='610.40' y2='413.28' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='677.98' y1='432.33' x2='681.55' y2='428.77' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='677.98' y1='428.77' x2='681.55' y2='432.33' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='677.98' y1='446.34' x2='681.55' y2='442.78' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='677.98' y1='442.78' x2='681.55' y2='446.34' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='686.36' y1='400.79' x2='689.93' y2='397.23' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='686.36' y1='397.23' x2='689.93' y2='400.79' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='686.36' y1='427.48' x2='689.93' y2='423.92' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='686.36' y1='423.92' x2='689.93' y2='427.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='672.96' y1='426.98' x2='676.52' y2='423.41' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='672.96' y1='423.41' x2='676.52' y2='426.98' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='672.96' y1='406.96' x2='676.52' y2='403.40' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='672.96' y1='403.40' x2='676.52' y2='406.96' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polygon points='419.50,426.09 422.02,423.57 424.54,426.09 422.02,428.61 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='419.50,432.10 422.02,429.58 424.54,432.10 422.02,434.62 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='440.86,434.69 443.38,432.17 445.90,434.69 443.38,437.21 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='440.86,418.01 443.38,415.49 445.90,418.01 443.38,420.53 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='475.35,433.54 477.87,431.02 480.39,433.54 477.87,436.06 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='475.35,423.53 477.87,421.01 480.39,423.53 477.87,426.05 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='516.32,435.76 518.84,433.24 521.36,435.76 518.84,438.28 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='516.32,406.40 518.84,403.88 521.36,406.40 518.84,408.92 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='556.43,418.49 558.95,415.97 561.47,418.49 558.95,421.01 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='556.43,431.17 558.95,428.65 561.47,431.17 558.95,433.69 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='576.74,419.45 579.26,416.93 581.78,419.45 579.26,421.97 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='576.74,435.46 579.26,432.94 581.78,435.46 579.26,437.98 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='574.26,431.14 576.78,428.62 579.30,431.14 576.78,433.66 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='574.26,437.15 576.78,434.63 579.30,437.15 576.78,439.67 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='566.27,415.68 568.79,413.16 571.31,415.68 568.79,418.20 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='566.27,429.02 568.79,426.50 571.31,429.02 568.79,431.54 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='418.94,428.66 421.34,424.50 416.54,424.50 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='435.09,424.39 437.49,420.23 432.69,420.23 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='435.09,423.72 437.49,419.57 432.69,419.57 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='462.16,416.31 464.56,412.15 459.76,412.15 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='462.16,424.31 464.56,420.16 459.76,420.16 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='496.46,441.65 498.86,437.50 494.06,437.50 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='496.46,428.31 498.86,424.15 494.06,424.15 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='533.61,431.63 536.01,427.48 531.21,427.48 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='533.61,423.63 536.01,419.47 531.21,419.47 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='554.90,449.52 557.30,445.36 552.50,445.36 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='554.90,427.50 557.30,423.34 552.50,423.34 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='552.82,428.23 555.22,424.07 550.42,424.07 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='552.82,426.89 555.22,422.73 550.42,422.73 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='546.07,417.25 548.47,413.09 543.67,413.09 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<polygon points='546.07,427.26 548.47,423.10 543.67,423.10 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='425.76' y='429.47' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='425.76' y1='433.04' x2='429.33' y2='429.47' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='425.76' y1='429.47' x2='429.33' y2='433.04' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='425.76' y='419.46' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='425.76' y1='423.03' x2='429.33' y2='419.46' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='425.76' y1='419.46' x2='429.33' y2='423.03' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='456.50' y='429.48' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='456.50' y1='433.04' x2='460.06' y2='429.48' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='456.50' y1='429.48' x2='460.06' y2='433.04' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='456.50' y='428.81' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='456.50' y1='432.37' x2='460.06' y2='428.81' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='456.50' y1='428.81' x2='460.06' y2='432.37' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='504.50' y='423.59' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='504.50' y1='427.15' x2='508.06' y2='423.59' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='504.50' y1='423.59' x2='508.06' y2='427.15' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='504.50' y='427.59' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='504.50' y1='431.15' x2='508.06' y2='427.59' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='504.50' y1='427.59' x2='508.06' y2='431.15' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='558.49' y='420.62' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='558.49' y1='424.19' x2='562.06' y2='420.62' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='558.49' y1='420.62' x2='562.06' y2='424.19' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='558.49' y='430.63' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='558.49' y1='434.20' x2='562.06' y2='430.63' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='558.49' y1='430.63' x2='562.06' y2='434.20' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='607.38' y='419.56' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='607.38' y1='423.13' x2='610.95' y2='419.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='607.38' y1='419.56' x2='610.95' y2='423.13' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='607.38' y='410.89' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='607.38' y1='414.45' x2='610.95' y2='410.89' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='607.38' y1='410.89' x2='610.95' y2='414.45' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='628.50' y='429.94' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='628.50' y1='433.51' x2='632.07' y2='429.94' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='628.50' y1='429.94' x2='632.07' y2='433.51' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='628.50' y='424.61' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='628.50' y1='428.17' x2='632.07' y2='424.61' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='628.50' y1='424.61' x2='632.07' y2='428.17' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='620.43' y='423.08' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='620.43' y1='426.64' x2='624.00' y2='423.08' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='620.43' y1='423.08' x2='624.00' y2='426.64' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='620.43' y='420.41' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='620.43' y1='423.97' x2='624.00' y2='420.41' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='620.43' y1='420.41' x2='624.00' y2='423.97' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='604.30' y='418.69' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='604.30' y1='422.25' x2='607.86' y2='418.69' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='604.30' y1='418.69' x2='607.86' y2='422.25' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<rect x='604.30' y='428.03' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='604.30' y1='431.59' x2='607.86' y2='428.03' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='604.30' y1='428.03' x2='607.86' y2='431.59' style='stroke-width: 0.75; stroke: #9E9E9E;' />
+<line x1='435.32' y1='437.95' x2='438.88' y2='434.39' style='stroke-width: 0.75;' />
+<line x1='435.32' y1='434.39' x2='438.88' y2='437.95' style='stroke-width: 0.75;' />
+<line x1='434.58' y1='436.17' x2='439.62' y2='436.17' style='stroke-width: 0.75;' />
+<line x1='437.10' y1='438.69' x2='437.10' y2='433.65' style='stroke-width: 0.75;' />
+<line x1='435.32' y1='428.61' x2='438.88' y2='425.05' style='stroke-width: 0.75;' />
+<line x1='435.32' y1='425.05' x2='438.88' y2='428.61' style='stroke-width: 0.75;' />
+<line x1='434.58' y1='426.83' x2='439.62' y2='426.83' style='stroke-width: 0.75;' />
+<line x1='437.10' y1='429.35' x2='437.10' y2='424.31' style='stroke-width: 0.75;' />
+<line x1='479.32' y1='430.33' x2='482.88' y2='426.76' style='stroke-width: 0.75;' />
+<line x1='479.32' y1='426.76' x2='482.88' y2='430.33' style='stroke-width: 0.75;' />
+<line x1='478.58' y1='428.55' x2='483.62' y2='428.55' style='stroke-width: 0.75;' />
+<line x1='481.10' y1='431.07' x2='481.10' y2='426.03' style='stroke-width: 0.75;' />
+<line x1='479.32' y1='422.32' x2='482.88' y2='418.76' style='stroke-width: 0.75;' />
+<line x1='479.32' y1='418.76' x2='482.88' y2='422.32' style='stroke-width: 0.75;' />
+<line x1='478.58' y1='420.54' x2='483.62' y2='420.54' style='stroke-width: 0.75;' />
+<line x1='481.10' y1='423.06' x2='481.10' y2='418.02' style='stroke-width: 0.75;' />
+<line x1='538.48' y1='418.84' x2='542.04' y2='415.28' style='stroke-width: 0.75;' />
+<line x1='538.48' y1='415.28' x2='542.04' y2='418.84' style='stroke-width: 0.75;' />
+<line x1='537.74' y1='417.06' x2='542.78' y2='417.06' style='stroke-width: 0.75;' />
+<line x1='540.26' y1='419.58' x2='540.26' y2='414.54' style='stroke-width: 0.75;' />
+<line x1='538.48' y1='435.52' x2='542.04' y2='431.96' style='stroke-width: 0.75;' />
+<line x1='538.48' y1='431.96' x2='542.04' y2='435.52' style='stroke-width: 0.75;' />
+<line x1='537.74' y1='433.74' x2='542.78' y2='433.74' style='stroke-width: 0.75;' />
+<line x1='540.26' y1='436.26' x2='540.26' y2='431.22' style='stroke-width: 0.75;' />
+<line x1='590.39' y1='452.64' x2='593.95' y2='449.07' style='stroke-width: 0.75;' />
+<line x1='590.39' y1='449.07' x2='593.95' y2='452.64' style='stroke-width: 0.75;' />
+<line x1='589.65' y1='450.85' x2='594.69' y2='450.85' style='stroke-width: 0.75;' />
+<line x1='592.17' y1='453.37' x2='592.17' y2='448.33' style='stroke-width: 0.75;' />
+<line x1='590.39' y1='422.61' x2='593.95' y2='419.05' style='stroke-width: 0.75;' />
+<line x1='590.39' y1='419.05' x2='593.95' y2='422.61' style='stroke-width: 0.75;' />
+<line x1='589.65' y1='420.83' x2='594.69' y2='420.83' style='stroke-width: 0.75;' />
+<line x1='592.17' y1='423.35' x2='592.17' y2='418.31' style='stroke-width: 0.75;' />
+<line x1='624.50' y1='426.44' x2='628.07' y2='422.87' style='stroke-width: 0.75;' />
+<line x1='624.50' y1='422.87' x2='628.07' y2='426.44' style='stroke-width: 0.75;' />
+<line x1='623.77' y1='424.65' x2='628.81' y2='424.65' style='stroke-width: 0.75;' />
+<line x1='626.29' y1='427.17' x2='626.29' y2='422.13' style='stroke-width: 0.75;' />
+<line x1='624.50' y1='401.08' x2='628.07' y2='397.52' style='stroke-width: 0.75;' />
+<line x1='624.50' y1='397.52' x2='628.07' y2='401.08' style='stroke-width: 0.75;' />
+<line x1='623.77' y1='399.30' x2='628.81' y2='399.30' style='stroke-width: 0.75;' />
+<line x1='626.29' y1='401.82' x2='626.29' y2='396.78' style='stroke-width: 0.75;' />
+<line x1='639.64' y1='427.89' x2='643.20' y2='424.33' style='stroke-width: 0.75;' />
+<line x1='639.64' y1='424.33' x2='643.20' y2='427.89' style='stroke-width: 0.75;' />
+<line x1='638.90' y1='426.11' x2='643.94' y2='426.11' style='stroke-width: 0.75;' />
+<line x1='641.42' y1='428.63' x2='641.42' y2='423.59' style='stroke-width: 0.75;' />
+<line x1='639.64' y1='416.55' x2='643.20' y2='412.98' style='stroke-width: 0.75;' />
+<line x1='639.64' y1='412.98' x2='643.20' y2='416.55' style='stroke-width: 0.75;' />
+<line x1='638.90' y1='414.77' x2='643.94' y2='414.77' style='stroke-width: 0.75;' />
+<line x1='641.42' y1='417.29' x2='641.42' y2='412.25' style='stroke-width: 0.75;' />
+<line x1='636.19' y1='427.34' x2='639.76' y2='423.78' style='stroke-width: 0.75;' />
+<line x1='636.19' y1='423.78' x2='639.76' y2='427.34' style='stroke-width: 0.75;' />
+<line x1='635.46' y1='425.56' x2='640.50' y2='425.56' style='stroke-width: 0.75;' />
+<line x1='637.98' y1='428.08' x2='637.98' y2='423.04' style='stroke-width: 0.75;' />
+<line x1='636.19' y1='440.69' x2='639.76' y2='437.12' style='stroke-width: 0.75;' />
+<line x1='636.19' y1='437.12' x2='639.76' y2='440.69' style='stroke-width: 0.75;' />
+<line x1='635.46' y1='438.91' x2='640.50' y2='438.91' style='stroke-width: 0.75;' />
+<line x1='637.98' y1='441.43' x2='637.98' y2='436.39' style='stroke-width: 0.75;' />
+<line x1='624.55' y1='435.82' x2='628.11' y2='432.26' style='stroke-width: 0.75;' />
+<line x1='624.55' y1='432.26' x2='628.11' y2='435.82' style='stroke-width: 0.75;' />
+<line x1='623.81' y1='434.04' x2='628.85' y2='434.04' style='stroke-width: 0.75;' />
+<line x1='626.33' y1='436.56' x2='626.33' y2='431.52' style='stroke-width: 0.75;' />
+<line x1='624.55' y1='429.15' x2='628.11' y2='425.58' style='stroke-width: 0.75;' />
+<line x1='624.55' y1='425.58' x2='628.11' y2='429.15' style='stroke-width: 0.75;' />
+<line x1='623.81' y1='427.37' x2='628.85' y2='427.37' style='stroke-width: 0.75;' />
+<line x1='626.33' y1='429.89' x2='626.33' y2='424.85' style='stroke-width: 0.75;' />
+<line x1='428.66' y1='419.97' x2='433.70' y2='419.97' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='431.18' y1='422.49' x2='431.18' y2='417.45' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='428.66,419.97 431.18,417.45 433.70,419.97 431.18,422.49 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='428.66' y1='429.31' x2='433.70' y2='429.31' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='431.18' y1='431.83' x2='431.18' y2='426.79' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='428.66,429.31 431.18,426.79 433.70,429.31 431.18,431.83 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='465.82' y1='456.00' x2='470.86' y2='456.00' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='468.34' y1='458.52' x2='468.34' y2='453.48' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='465.82,456.00 468.34,453.48 470.86,456.00 468.34,458.52 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='465.82' y1='433.31' x2='470.86' y2='433.31' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='468.34' y1='435.83' x2='468.34' y2='430.79' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='465.82,433.31 468.34,430.79 470.86,433.31 468.34,435.83 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='523.90' y1='419.48' x2='528.94' y2='419.48' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='526.42' y1='422.00' x2='526.42' y2='416.96' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='523.90,419.48 526.42,416.96 528.94,419.48 526.42,422.00 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='523.90' y1='425.49' x2='528.94' y2='425.49' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='526.42' y1='428.01' x2='526.42' y2='422.97' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='523.90,425.49 526.42,422.97 528.94,425.49 526.42,428.01 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='589.28' y1='442.50' x2='594.32' y2='442.50' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='591.80' y1='445.02' x2='591.80' y2='439.98' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='589.28,442.50 591.80,439.98 594.32,442.50 591.80,445.02 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='589.28' y1='425.82' x2='594.32' y2='425.82' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='591.80' y1='428.34' x2='591.80' y2='423.30' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='589.28,425.82 591.80,423.30 594.32,425.82 591.80,428.34 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='648.75' y1='412.62' x2='653.80' y2='412.62' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='651.27' y1='415.14' x2='651.27' y2='410.10' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='648.75,412.62 651.27,410.10 653.80,412.62 651.27,415.14 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='648.75' y1='401.28' x2='653.80' y2='401.28' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='651.27' y1='403.80' x2='651.27' y2='398.76' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='648.75,401.28 651.27,398.76 653.80,401.28 651.27,403.80 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='677.74' y1='447.03' x2='682.78' y2='447.03' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='680.26' y1='449.55' x2='680.26' y2='444.51' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='677.74,447.03 680.26,444.51 682.78,447.03 680.26,449.55 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='677.74' y1='400.99' x2='682.78' y2='400.99' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='680.26' y1='403.51' x2='680.26' y2='398.47' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='677.74,400.99 680.26,398.47 682.78,400.99 680.26,403.51 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='673.55' y1='413.75' x2='678.59' y2='413.75' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='676.07' y1='416.27' x2='676.07' y2='411.23' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='673.55,413.75 676.07,411.23 678.59,413.75 676.07,416.27 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='673.55' y1='423.76' x2='678.59' y2='423.76' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='676.07' y1='426.28' x2='676.07' y2='421.24' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='673.55,423.76 676.07,421.24 678.59,423.76 676.07,426.28 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='659.47' y1='419.30' x2='664.51' y2='419.30' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='661.99' y1='421.82' x2='661.99' y2='416.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='659.47,419.30 661.99,416.78 664.51,419.30 661.99,421.82 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<line x1='659.47' y1='440.65' x2='664.51' y2='440.65' style='stroke-width: 0.75; stroke: #DF536B;' />
+<line x1='661.99' y1='443.17' x2='661.99' y2='438.13' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='659.47,440.65 661.99,438.13 664.51,440.65 661.99,443.17 ' style='stroke-width: 0.75; stroke: #DF536B; fill: none;' />
+<circle cx='421.20' cy='420.66' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='419.42' y1='420.66' x2='422.98' y2='420.66' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='421.20' y1='422.44' x2='421.20' y2='418.88' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='421.20' cy='422.66' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='419.42' y1='422.66' x2='422.98' y2='422.66' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='421.20' y1='424.44' x2='421.20' y2='420.88' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='442.11' cy='432.17' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='440.32' y1='432.17' x2='443.89' y2='432.17' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='442.11' y1='433.96' x2='442.11' y2='430.39' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='442.11' cy='430.84' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='440.32' y1='430.84' x2='443.89' y2='430.84' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='442.11' y1='432.62' x2='442.11' y2='429.06' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='479.31' cy='425.55' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='477.53' y1='425.55' x2='481.10' y2='425.55' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='479.31' y1='427.33' x2='479.31' y2='423.76' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='479.31' cy='434.22' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='477.53' y1='434.22' x2='481.10' y2='434.22' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='479.31' y1='436.00' x2='479.31' y2='432.44' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='531.87' cy='425.91' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='530.09' y1='425.91' x2='533.65' y2='425.91' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='531.87' y1='427.69' x2='531.87' y2='424.13' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='531.87' cy='429.25' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='530.09' y1='429.25' x2='533.65' y2='429.25' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='531.87' y1='431.03' x2='531.87' y2='427.46' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='601.69' cy='432.39' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='599.91' y1='432.39' x2='603.48' y2='432.39' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='601.69' y1='434.17' x2='601.69' y2='430.61' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='601.69' cy='435.06' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='599.91' y1='435.06' x2='603.48' y2='435.06' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='601.69' y1='436.84' x2='601.69' y2='433.27' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='665.10' cy='456.22' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='663.31' y1='456.22' x2='666.88' y2='456.22' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='665.10' y1='458.00' x2='665.10' y2='454.44' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='665.10' cy='416.19' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='663.31' y1='416.19' x2='666.88' y2='416.19' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='665.10' y1='417.97' x2='665.10' y2='414.41' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='673.07' cy='397.61' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='671.29' y1='397.61' x2='674.85' y2='397.61' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='673.07' y1='399.39' x2='673.07' y2='395.83' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='673.07' cy='398.94' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='671.29' y1='398.94' x2='674.85' y2='398.94' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='673.07' y1='400.73' x2='673.07' y2='397.16' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='663.27' cy='433.83' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='661.48' y1='433.83' x2='665.05' y2='433.83' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='663.27' y1='435.61' x2='663.27' y2='432.05' style='stroke-width: 0.75; stroke: #61D04F;' />
+<circle cx='663.27' cy='410.48' r='1.78' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='661.48' y1='410.48' x2='665.05' y2='410.48' style='stroke-width: 0.75; stroke: #61D04F;' />
+<line x1='663.27' y1='412.26' x2='663.27' y2='408.69' style='stroke-width: 0.75; stroke: #61D04F;' />
+<polygon points='415.99,423.24 418.39,418.39 413.59,418.39 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='415.99,417.70 418.39,422.55 413.59,422.55 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='415.99,418.57 418.39,413.72 413.59,413.72 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='415.99,413.03 418.39,417.88 413.59,417.88 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='427.17,429.68 429.57,424.83 424.77,424.83 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='427.17,424.13 429.57,428.98 424.77,428.98 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='427.17,415.66 429.57,410.81 424.77,410.81 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='427.17,410.12 429.57,414.97 424.77,414.97 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='447.41,419.21 449.81,414.36 445.01,414.36 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='447.41,413.67 449.81,418.52 445.01,418.52 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='447.41,413.21 449.81,408.36 445.01,408.36 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='447.41,407.66 449.81,412.51 445.01,412.51 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='476.89,420.05 479.29,415.20 474.49,415.20 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='476.89,414.51 479.29,419.35 474.49,419.35 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='476.89,415.38 479.29,410.53 474.49,410.53 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='476.89,409.83 479.29,414.68 474.49,414.68 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='518.37,427.42 520.77,422.57 515.97,422.57 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='518.37,421.88 520.77,426.73 515.97,426.73 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='518.37,418.75 520.77,413.90 515.97,413.90 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='518.37,413.20 520.77,418.05 515.97,418.05 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='561.37,424.86 563.77,420.01 558.97,420.01 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='561.37,419.32 563.77,424.17 558.97,424.17 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='561.37,424.86 563.77,420.01 558.97,420.01 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='561.37,419.32 563.77,424.17 558.97,424.17 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='570.76,449.64 573.16,444.79 568.36,444.79 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='570.76,444.10 573.16,448.95 568.36,448.95 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='570.76,428.96 573.16,424.11 568.36,424.11 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='570.76,423.41 573.16,428.26 568.36,428.26 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='568.20,429.24 570.60,424.39 565.80,424.39 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='568.20,423.70 570.60,428.55 565.80,428.55 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='568.20,443.92 570.60,439.07 565.80,439.07 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<polygon points='568.20,438.38 570.60,443.23 565.80,443.23 ' style='stroke-width: 0.75; stroke: #2297E6; fill: none;' />
+<line x1='415.55' y1='427.05' x2='419.11' y2='427.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='417.33' y1='428.84' x2='417.33' y2='425.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='415.55' y='425.27' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='415.55' y1='421.72' x2='419.11' y2='421.72' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='417.33' y1='423.50' x2='417.33' y2='419.93' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='415.55' y='419.93' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='429.12' y1='420.38' x2='432.69' y2='420.38' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='430.90' y1='422.16' x2='430.90' y2='418.60' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='429.12' y='418.60' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='429.12' y1='424.38' x2='432.69' y2='424.38' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='430.90' y1='426.17' x2='430.90' y2='422.60' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='429.12' y='422.60' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='453.20' y1='428.85' x2='456.76' y2='428.85' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='454.98' y1='430.63' x2='454.98' y2='427.07' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='453.20' y='427.07' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='453.20' y1='429.51' x2='456.76' y2='429.51' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='454.98' y1='431.30' x2='454.98' y2='427.73' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='453.20' y='427.73' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='486.98' y1='421.69' x2='490.55' y2='421.69' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='488.76' y1='423.47' x2='488.76' y2='419.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='486.98' y='419.91' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='486.98' y1='419.02' x2='490.55' y2='419.02' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='488.76' y1='420.80' x2='488.76' y2='417.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='486.98' y='417.24' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='531.30' y1='408.36' x2='534.87' y2='408.36' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='533.08' y1='410.14' x2='533.08' y2='406.58' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='531.30' y='406.58' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='531.30' y1='416.37' x2='534.87' y2='416.37' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='533.08' y1='418.15' x2='533.08' y2='414.58' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='531.30' y='414.58' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='570.29' y1='418.08' x2='573.86' y2='418.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='572.08' y1='419.86' x2='572.08' y2='416.29' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='570.29' y='416.29' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='570.29' y1='413.41' x2='573.86' y2='413.41' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='572.08' y1='415.19' x2='572.08' y2='411.62' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='570.29' y='411.62' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='574.19' y1='417.04' x2='577.75' y2='417.04' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='575.97' y1='418.82' x2='575.97' y2='415.26' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='574.19' y='415.26' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='574.19' y1='431.05' x2='577.75' y2='431.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='575.97' y1='432.84' x2='575.97' y2='429.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='574.19' y='429.27' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='567.04' y1='443.73' x2='570.60' y2='443.73' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='568.82' y1='445.51' x2='568.82' y2='441.95' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='567.04' y='441.95' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='567.04' y1='435.05' x2='570.60' y2='435.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='568.82' y1='436.84' x2='568.82' y2='433.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<rect x='567.04' y='433.27' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<circle cx='419.23' cy='424.16' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='417.45' y1='425.94' x2='421.01' y2='422.38' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='417.45' y1='422.38' x2='421.01' y2='425.94' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='419.23' cy='430.16' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='417.45' y1='431.95' x2='421.01' y2='428.38' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='417.45' y1='428.38' x2='421.01' y2='431.95' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='436.25' cy='433.38' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='434.47' y1='435.16' x2='438.04' y2='431.60' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='434.47' y1='431.60' x2='438.04' y2='435.16' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='436.25' cy='423.37' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='434.47' y1='425.15' x2='438.04' y2='421.59' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='434.47' y1='421.59' x2='438.04' y2='425.15' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='465.97' cy='423.76' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='464.19' y1='425.54' x2='467.75' y2='421.98' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='464.19' y1='421.98' x2='467.75' y2='425.54' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='465.97' cy='436.44' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='464.19' y1='438.22' x2='467.75' y2='434.66' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='464.19' y1='434.66' x2='467.75' y2='438.22' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='506.51' cy='423.58' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='504.73' y1='425.36' x2='508.29' y2='421.80' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='504.73' y1='421.80' x2='508.29' y2='425.36' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='506.51' cy='432.26' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='504.73' y1='434.04' x2='508.29' y2='430.47' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='504.73' y1='430.47' x2='508.29' y2='434.04' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='557.07' cy='438.76' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='555.29' y1='440.55' x2='558.85' y2='436.98' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='555.29' y1='436.98' x2='558.85' y2='440.55' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='557.07' cy='428.09' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='555.29' y1='429.87' x2='558.85' y2='426.31' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='555.29' y1='426.31' x2='558.85' y2='429.87' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='596.98' cy='439.99' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='595.20' y1='441.78' x2='598.76' y2='438.21' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='595.20' y1='438.21' x2='598.76' y2='441.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='596.98' cy='438.66' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='595.20' y1='440.44' x2='598.76' y2='436.88' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='595.20' y1='436.88' x2='598.76' y2='440.44' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='598.33' cy='402.56' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='596.55' y1='404.34' x2='600.12' y2='400.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='596.55' y1='400.78' x2='600.12' y2='404.34' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='598.33' cy='410.57' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='596.55' y1='412.35' x2='600.12' y2='408.79' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='596.55' y1='408.79' x2='600.12' y2='412.35' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='588.43' cy='417.34' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='586.65' y1='419.12' x2='590.22' y2='415.56' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='586.65' y1='415.56' x2='590.22' y2='419.12' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<circle cx='588.43' cy='427.35' r='1.78' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='586.65' y1='429.13' x2='590.22' y2='425.56' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<line x1='586.65' y1='425.56' x2='590.22' y2='429.13' style='stroke-width: 0.75; stroke: #CD0BBC;' />
+<polygon points='422.43,424.70 424.21,428.26 420.65,428.26 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='420.65' y='424.70' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='422.43,406.02 424.21,409.58 420.65,409.58 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='420.65' y='406.02' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='444.96,420.38 446.74,423.94 443.18,423.94 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='443.18' y='420.38' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='444.96,427.05 446.74,430.62 443.18,430.62 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='443.18' y='427.05' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='482.73,410.27 484.51,413.83 480.94,413.83 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='480.94' y='410.27' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='482.73,416.27 484.51,419.84 480.94,419.84 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='480.94' y='416.27' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='530.67,413.67 532.45,417.23 528.89,417.23 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='528.89' y='413.67' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='530.67,417.67 532.45,421.23 528.89,421.23 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='528.89' y='417.67' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='583.40,426.87 585.19,430.44 581.62,430.44 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='581.62' y='426.87' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='583.40,420.20 585.19,423.76 581.62,423.76 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='581.62' y='420.20' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='616.19,429.46 617.97,433.02 614.40,433.02 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='614.40' y='429.46' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='616.19,432.79 617.97,436.36 614.40,436.36 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='614.40' y='432.79' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='613.92,434.68 615.71,438.25 612.14,438.25 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='612.14' y='434.68' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='613.92,417.34 615.71,420.90 612.14,420.90 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='612.14' y='417.34' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='602.62,430.80 604.40,434.36 600.84,434.36 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='600.84' y='430.80' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='602.62,412.12 604.40,415.68 600.84,415.68 ' style='stroke-width: 0.75; stroke: #F5C710; fill: none;' />
+<rect x='600.84' y='412.12' width='3.56' height='3.56' style='stroke-width: 0.75; stroke: #F5C710;' />
+<polygon points='421.64,414.51 425.20,414.51 425.20,410.94 421.64,410.94 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='421.64,433.86 425.20,433.86 425.20,430.29 421.64,430.29 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='445.89,430.48 449.46,430.48 449.46,426.92 445.89,426.92 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='445.89,429.15 449.46,429.15 449.46,425.58 445.89,425.58 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='486.29,435.50 489.85,435.50 489.85,431.94 486.29,431.94 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='486.29,426.83 489.85,426.83 489.85,423.27 486.29,423.27 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='537.01,415.47 540.58,415.47 540.58,411.91 537.01,411.91 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='537.01,426.82 540.58,426.82 540.58,423.25 537.01,423.25 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='591.90,440.70 595.46,440.70 595.46,437.13 591.90,437.13 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='591.90,442.70 595.46,442.70 595.46,439.14 591.90,439.14 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='626.25,430.07 629.81,430.07 629.81,426.50 626.25,426.50 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='626.25,425.40 629.81,425.40 629.81,421.83 626.25,421.83 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='625.87,439.72 629.43,439.72 629.43,436.16 625.87,436.16 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='625.87,429.04 629.43,429.04 629.43,425.48 625.87,425.48 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='616.55,397.66 620.11,397.66 620.11,394.09 616.55,394.09 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+<polygon points='616.55,440.36 620.11,440.36 620.11,436.79 616.55,436.79 ' style='stroke-width: 0.75; stroke: none; fill: #9E9E9E;' />
+</g>
+<defs>
+  <clipPath id='cpNTkuMDR8Njg5Ljc2fDU5LjA0fDUwMi41Ng=='>
+    <rect x='59.04' y='59.04' width='630.72' height='443.52' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpNTkuMDR8Njg5Ljc2fDU5LjA0fDUwMi41Ng==)'>
+</g>
+</svg>
diff --git a/tests/testthat/_snaps/plot/mixed-model-fit-for-saem-object-with-saemix-transformations.svg b/tests/testthat/_snaps/plot/mixed-model-fit-for-saem-object-with-saemix-transformations.svg
new file mode 100644
index 00000000..13590b9b
--- /dev/null
+++ b/tests/testthat/_snaps/plot/mixed-model-fit-for-saem-object-with-saemix-transformations.svg
@@ -0,0 +1,721 @@
+<?xml version='1.0' encoding='UTF-8' ?>
+<svg xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' class='svglite' data-engine-version='2.0' width='720.00pt' height='576.00pt' viewBox='0 0 720.00 576.00'>
+<defs>
+  <style type='text/css'><![CDATA[
+    .svglite line, .svglite polyline, .svglite polygon, .svglite path, .svglite rect, .svglite circle {
+      fill: none;
+      stroke: #000000;
+      stroke-linecap: round;
+      stroke-linejoin: round;
+      stroke-miterlimit: 10.00;
+    }
+  ]]></style>
+</defs>
+<rect width='100%' height='100%' style='stroke: none; fill: #FFFFFF;'/>
+<defs>
+  <clipPath id='cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA='>
+    <rect x='0.00' y='0.00' width='720.00' height='576.00' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
+</g>
+<defs>
+  <clipPath id='cpMTkuOTZ8NzAwLjA0fDAuOTV8MzkuODM='>
+    <rect x='19.96' y='0.95' width='680.08' height='38.88' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMTkuOTZ8NzAwLjA0fDAuOTV8MzkuODM=)'>
+<line x1='267.61' y1='15.64' x2='281.86' y2='15.64' style='stroke-width: 1.50;' />
+<line x1='267.61' y1='25.14' x2='281.86' y2='25.14' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 4.00,4.00;' />
+<line x1='329.44' y1='15.64' x2='343.70' y2='15.64' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 1.00,3.00;' />
+<line x1='329.44' y1='25.14' x2='343.70' y2='25.14' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<line x1='391.27' y1='15.64' x2='405.53' y2='15.64' style='stroke-width: 0.75; stroke: #28E2E5; stroke-dasharray: 7.00,3.00;' />
+<line x1='391.27' y1='25.14' x2='405.53' y2='25.14' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+<circle cx='274.73' cy='25.14' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='336.57,12.87 338.97,17.02 334.17,17.02 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<line x1='334.05' y1='25.14' x2='339.09' y2='25.14' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='336.57' y1='27.66' x2='336.57' y2='22.62' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='396.62' y1='17.42' x2='400.18' y2='13.86' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='396.62' y1='13.86' x2='400.18' y2='17.42' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polygon points='395.88,25.14 398.40,22.62 400.92,25.14 398.40,27.66 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<text x='288.99' y='18.36' style='font-size: 7.92px; font-family: sans;' textLength='37.43px' lengthAdjust='spacingAndGlyphs'>Population</text>
+<text x='288.99' y='27.87' style='font-size: 7.92px; font-family: sans;' textLength='33.91px' lengthAdjust='spacingAndGlyphs'>Dataset 6</text>
+<text x='350.82' y='18.36' style='font-size: 7.92px; font-family: sans;' textLength='33.91px' lengthAdjust='spacingAndGlyphs'>Dataset 7</text>
+<text x='350.82' y='27.87' style='font-size: 7.92px; font-family: sans;' textLength='33.91px' lengthAdjust='spacingAndGlyphs'>Dataset 8</text>
+<text x='412.66' y='18.36' style='font-size: 7.92px; font-family: sans;' textLength='33.91px' lengthAdjust='spacingAndGlyphs'>Dataset 9</text>
+<text x='412.66' y='27.87' style='font-size: 7.92px; font-family: sans;' textLength='38.31px' lengthAdjust='spacingAndGlyphs'>Dataset 10</text>
+</g>
+<defs>
+  <clipPath id='cpMzguOTd8MzQwLjA0fDUxLjIzfDI2Ny4xMw=='>
+    <rect x='38.97' y='51.23' width='301.08' height='215.90' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzguOTd8MzQwLjA0fDUxLjIzfDI2Ny4xMw==)'>
+<polyline points='50.12,71.28 51.67,85.96 54.76,110.06 55.81,116.85 59.41,136.29 60.96,143.06 61.50,145.23 62.51,149.06 65.60,159.14 67.19,163.46 71.80,173.71 72.87,175.68 78.56,184.31 81.09,187.38 82.64,189.09 84.25,190.75 89.94,195.85 91.93,197.41 95.63,200.08 96.58,200.72 101.32,203.74 102.77,204.61 107.01,207.01 112.70,209.98 113.62,210.44 118.39,212.73 124.08,215.28 124.46,215.45 129.77,217.68 135.30,219.87 135.46,219.93 141.15,222.05 143.04,222.74 146.83,224.06 147.69,224.35 152.52,225.95 158.21,227.74 158.53,227.84 163.90,229.44 169.59,231.04 175.28,232.55 180.97,233.98 186.66,235.34 189.50,235.99 191.05,236.34 192.35,236.62 198.04,237.84 203.73,238.98 209.42,240.07 215.11,241.10 220.79,242.07 223.58,242.52 226.48,242.99 232.17,243.86 235.97,244.41 237.86,244.68 243.55,245.46 249.24,246.20 254.55,246.85 254.93,246.89 260.62,247.55 266.31,248.18 272.00,248.77 277.69,249.33 283.38,249.86 289.07,250.36 294.76,250.83 300.44,251.28 306.13,251.70 311.82,252.10 317.51,252.48 323.20,252.84 328.89,253.18 ' style='stroke-width: 1.50;' />
+</g>
+<g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
+<line x1='50.12' y1='267.13' x2='282.43' y2='267.13' style='stroke-width: 0.75;' />
+<line x1='50.12' y1='267.13' x2='50.12' y2='271.89' style='stroke-width: 0.75;' />
+<line x1='127.55' y1='267.13' x2='127.55' y2='271.89' style='stroke-width: 0.75;' />
+<line x1='204.99' y1='267.13' x2='204.99' y2='271.89' style='stroke-width: 0.75;' />
+<line x1='282.43' y1='267.13' x2='282.43' y2='271.89' style='stroke-width: 0.75;' />
+<text x='50.12' y='284.24' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text x='127.55' y='284.24' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>50</text>
+<text x='204.99' y='284.24' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>100</text>
+<text x='282.43' y='284.24' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>150</text>
+<line x1='38.97' y1='259.14' x2='38.97' y2='58.83' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='259.14' x2='34.21' y2='259.14' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='219.08' x2='34.21' y2='219.08' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='179.01' x2='34.21' y2='179.01' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='138.95' x2='34.21' y2='138.95' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='98.89' x2='34.21' y2='98.89' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='58.83' x2='34.21' y2='58.83' style='stroke-width: 0.75;' />
+<text transform='translate(27.56,259.14) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text transform='translate(27.56,219.08) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text transform='translate(27.56,179.01) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>40</text>
+<text transform='translate(27.56,138.95) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>60</text>
+<text transform='translate(27.56,98.89) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>80</text>
+<text transform='translate(27.56,58.83) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>100</text>
+<polygon points='38.97,267.13 340.04,267.13 340.04,51.23 38.97,51.23 ' style='stroke-width: 0.75; fill: none;' />
+</g>
+<defs>
+  <clipPath id='cpMC4wMHwzNjAuMDB8NDAuNzh8Mjk1LjY1'>
+    <rect x='0.00' y='40.78' width='360.00' height='254.87' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMC4wMHwzNjAuMDB8NDAuNzh8Mjk1LjY1)'>
+<text x='189.50' y='303.25' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='17.60px' lengthAdjust='spacingAndGlyphs'>Time</text>
+<text transform='translate(8.55,159.18) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='57.68px' lengthAdjust='spacingAndGlyphs'>Residues parent</text>
+</g>
+<g clip-path='url(#cpMzguOTd8MzQwLjA0fDUxLjIzfDI2Ny4xMw==)'>
+<circle cx='50.12' cy='64.44' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='50.12' cy='66.04' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='54.76' cy='116.72' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='54.76' cy='120.52' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='59.41' cy='142.76' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='59.41' cy='145.76' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='65.60' cy='170.20' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='65.60' cy='172.20' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='81.09' cy='192.43' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='81.09' cy='200.65' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='102.77' cy='223.88' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='102.77' cy='223.08' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='135.30' cy='238.11' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='135.30' cy='240.51' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='189.50' cy='250.12' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='189.50' cy='249.72' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='223.58' cy='253.13' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='223.58' cy='252.33' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='254.55' cy='254.53' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='254.55' cy='253.73' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polyline points='50.12,67.31 51.67,86.51 54.76,116.24 55.81,124.21 59.41,146.03 60.96,153.31 61.50,155.60 62.51,159.63 65.60,170.04 67.19,174.46 71.80,184.94 72.87,186.98 78.56,196.14 81.09,199.54 82.64,201.47 84.25,203.37 89.94,209.41 91.93,211.31 95.63,214.61 96.58,215.42 101.32,219.19 102.77,220.27 107.01,223.25 112.70,226.88 113.62,227.43 118.39,230.14 124.08,233.06 124.46,233.25 129.77,235.69 135.30,237.99 135.46,238.05 141.15,240.17 143.04,240.83 146.83,242.08 147.69,242.35 152.52,243.79 158.21,245.34 158.53,245.42 163.90,246.73 169.59,247.98 175.28,249.10 180.97,250.11 186.66,251.02 189.50,251.44 191.05,251.65 192.35,251.83 198.04,252.57 203.73,253.23 209.42,253.82 215.11,254.36 220.79,254.84 223.58,255.06 226.48,255.27 232.17,255.66 235.97,255.90 237.86,256.01 243.55,256.32 249.24,256.61 254.55,256.85 254.93,256.86 260.62,257.09 266.31,257.30 272.00,257.48 277.69,257.65 283.38,257.80 289.07,257.93 294.76,258.05 300.44,258.16 306.13,258.26 311.82,258.35 317.51,258.43 323.20,258.50 328.89,258.56 ' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 4.00,4.00;' />
+<polygon points='50.12,68.88 52.52,73.03 47.72,73.03 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='50.12,71.48 52.52,75.64 47.72,75.64 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='54.76,82.10 57.16,86.25 52.36,86.25 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='54.76,91.71 57.16,95.87 52.36,95.87 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='60.96,108.14 63.36,112.29 58.56,112.29 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='60.96,108.34 63.36,112.50 58.56,112.50 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='71.80,127.77 74.20,131.93 69.40,131.93 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='71.80,117.15 74.20,121.31 69.40,121.31 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='96.58,148.20 98.98,152.36 94.18,152.36 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='96.58,147.00 98.98,151.15 94.18,151.15 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='143.04,174.04 145.44,178.20 140.64,178.20 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='143.04,179.45 145.44,183.60 140.64,183.60 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='189.50,191.27 191.90,195.42 187.10,195.42 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='189.50,185.26 191.90,189.41 187.10,189.41 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='235.97,200.08 238.37,204.24 233.57,204.24 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='235.97,198.28 238.37,202.43 233.57,202.43 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='328.89,203.28 331.29,207.44 326.49,207.44 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='328.89,201.08 331.29,205.24 326.49,205.24 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polyline points='50.12,76.75 51.67,81.07 54.76,89.20 55.81,91.79 59.41,100.23 60.96,103.63 61.50,104.78 62.51,106.89 65.60,113.05 67.19,116.00 71.80,123.99 72.87,125.72 78.56,134.15 81.09,137.53 82.64,139.50 84.25,141.47 89.94,147.85 91.93,149.88 95.63,153.41 96.58,154.27 101.32,158.27 102.77,159.42 107.01,162.54 112.70,166.30 113.62,166.86 118.39,169.61 124.08,172.55 124.46,172.73 129.77,175.16 135.30,177.44 135.46,177.50 141.15,179.59 143.04,180.24 146.83,181.48 147.69,181.75 152.52,183.20 158.21,184.76 158.53,184.84 163.90,186.18 169.59,187.50 175.28,188.72 180.97,189.85 186.66,190.91 189.50,191.41 191.05,191.68 192.35,191.90 198.04,192.84 203.73,193.74 209.42,194.58 215.11,195.40 220.79,196.18 223.58,196.55 226.48,196.93 232.17,197.65 235.97,198.12 237.86,198.35 243.55,199.04 249.24,199.70 254.55,200.31 254.93,200.35 260.62,200.98 266.31,201.60 272.00,202.21 277.69,202.81 283.38,203.39 289.07,203.97 294.76,204.54 300.44,205.10 306.13,205.65 311.82,206.19 317.51,206.73 323.20,207.26 328.89,207.78 ' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 1.00,3.00;' />
+<line x1='47.60' y1='75.05' x2='52.64' y2='75.05' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='50.12' y1='77.57' x2='50.12' y2='72.53' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='47.60' y1='77.26' x2='52.64' y2='77.26' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='50.12' y1='79.78' x2='50.12' y2='74.74' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='49.15' y1='129.14' x2='54.19' y2='129.14' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='51.67' y1='131.66' x2='51.67' y2='126.62' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='49.15' y1='126.53' x2='54.19' y2='126.53' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='51.67' y1='129.05' x2='51.67' y2='124.01' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='52.24' y1='172.00' x2='57.28' y2='172.00' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='54.76' y1='174.52' x2='54.76' y2='169.48' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='52.24' y1='170.80' x2='57.28' y2='170.80' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='54.76' y1='173.32' x2='54.76' y2='168.28' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='59.99' y1='222.48' x2='65.03' y2='222.48' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='62.51' y1='225.00' x2='62.51' y2='219.96' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='59.99' y1='222.88' x2='65.03' y2='222.88' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='62.51' y1='225.40' x2='62.51' y2='220.36' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='69.28' y1='238.71' x2='74.32' y2='238.71' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='71.80' y1='241.23' x2='71.80' y2='236.19' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='69.28' y1='237.50' x2='74.32' y2='237.50' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='71.80' y1='240.02' x2='71.80' y2='234.98' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='89.41' y1='249.32' x2='94.45' y2='249.32' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='91.93' y1='251.84' x2='91.93' y2='246.80' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='89.41' y1='252.53' x2='94.45' y2='252.53' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='91.93' y1='255.05' x2='91.93' y2='250.01' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='121.94' y1='255.93' x2='126.98' y2='255.93' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='124.46' y1='258.45' x2='124.46' y2='253.41' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='121.94' y1='256.13' x2='126.98' y2='256.13' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='124.46' y1='258.65' x2='124.46' y2='253.61' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='156.01' y1='256.93' x2='161.05' y2='256.93' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='158.53' y1='259.45' x2='158.53' y2='254.41' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='156.01' y1='257.33' x2='161.05' y2='257.33' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='158.53' y1='259.86' x2='158.53' y2='254.81' style='stroke-width: 0.75; stroke: #2297E6;' />
+<polyline points='50.12,76.39 51.67,123.70 54.76,175.75 55.81,186.11 59.41,208.78 60.96,214.95 61.50,216.79 62.51,219.93 65.60,227.61 67.19,230.74 71.80,237.96 72.87,239.33 78.56,245.19 81.09,247.19 82.64,248.27 84.25,249.29 89.94,252.19 91.93,252.98 95.63,254.23 96.58,254.51 101.32,255.67 102.77,255.97 107.01,256.69 112.70,257.41 113.62,257.50 118.39,257.92 124.08,258.27 124.46,258.29 129.77,258.53 135.30,258.70 135.46,258.71 141.15,258.83 143.04,258.87 146.83,258.92 147.69,258.93 152.52,258.99 158.21,259.03 158.53,259.03 163.90,259.06 169.59,259.08 175.28,259.10 180.97,259.11 186.66,259.12 189.50,259.12 191.05,259.12 192.35,259.12 198.04,259.13 203.73,259.13 209.42,259.13 215.11,259.13 220.79,259.14 223.58,259.14 226.48,259.14 232.17,259.14 235.97,259.14 237.86,259.14 243.55,259.14 249.24,259.14 254.55,259.14 254.93,259.14 260.62,259.14 266.31,259.14 272.00,259.14 277.69,259.14 283.38,259.14 289.07,259.14 294.76,259.14 300.44,259.14 306.13,259.14 311.82,259.14 317.51,259.14 323.20,259.14 328.89,259.14 ' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<line x1='48.34' y1='61.01' x2='51.90' y2='57.45' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='48.34' y1='57.45' x2='51.90' y2='61.01' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='48.34' y1='64.02' x2='51.90' y2='60.45' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='48.34' y1='60.45' x2='51.90' y2='64.02' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='49.88' y1='106.48' x2='53.45' y2='102.92' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='49.88' y1='102.92' x2='53.45' y2='106.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='49.88' y1='106.28' x2='53.45' y2='102.72' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='49.88' y1='102.72' x2='53.45' y2='106.28' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.98' y1='142.74' x2='56.55' y2='139.17' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.98' y1='139.17' x2='56.55' y2='142.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.98' y1='144.54' x2='56.55' y2='140.98' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.98' y1='140.98' x2='56.55' y2='144.54' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='60.73' y1='206.04' x2='64.29' y2='202.47' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='60.73' y1='202.47' x2='64.29' y2='206.04' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='60.73' y1='202.43' x2='64.29' y2='198.87' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='60.73' y1='198.87' x2='64.29' y2='202.43' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='70.02' y1='222.66' x2='73.58' y2='219.10' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='70.02' y1='219.10' x2='73.58' y2='222.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='70.02' y1='201.63' x2='73.58' y2='198.06' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='70.02' y1='198.06' x2='73.58' y2='201.63' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='90.15' y1='240.69' x2='93.72' y2='237.12' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='90.15' y1='237.12' x2='93.72' y2='240.69' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='90.15' y1='224.46' x2='93.72' y2='220.90' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='90.15' y1='220.90' x2='93.72' y2='224.46' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='122.67' y1='251.91' x2='126.24' y2='248.34' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='122.67' y1='248.34' x2='126.24' y2='251.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='122.67' y1='242.69' x2='126.24' y2='239.13' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='122.67' y1='239.13' x2='126.24' y2='242.69' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='156.75' y1='256.31' x2='160.31' y2='252.75' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='156.75' y1='252.75' x2='160.31' y2='256.31' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='156.75' y1='255.11' x2='160.31' y2='251.55' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='156.75' y1='251.55' x2='160.31' y2='255.11' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.27' y1='256.91' x2='192.83' y2='253.35' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.27' y1='253.35' x2='192.83' y2='256.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.27' y1='257.31' x2='192.83' y2='253.75' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.27' y1='253.75' x2='192.83' y2='257.31' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='234.18' y1='256.91' x2='237.75' y2='253.35' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='234.18' y1='253.35' x2='237.75' y2='256.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='234.18' y1='256.51' x2='237.75' y2='252.95' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='234.18' y1='252.95' x2='237.75' y2='256.51' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polyline points='50.12,64.09 51.67,100.31 54.76,147.53 55.81,158.27 59.41,183.40 60.96,190.40 61.50,192.47 62.51,195.95 65.60,204.10 67.19,207.24 71.80,214.13 72.87,215.42 78.56,221.13 81.09,223.26 82.64,224.49 84.25,225.70 89.94,229.59 91.93,230.83 95.63,232.99 96.58,233.52 101.32,235.99 102.77,236.70 107.01,238.64 112.70,240.98 113.62,241.33 118.39,243.06 124.08,244.90 124.46,245.01 129.77,246.52 135.30,247.93 135.46,247.97 141.15,249.24 143.04,249.64 146.83,250.37 147.69,250.53 152.52,251.38 158.21,252.26 158.53,252.31 163.90,253.05 169.59,253.75 175.28,254.36 180.97,254.91 186.66,255.39 189.50,255.61 191.05,255.73 192.35,255.82 198.04,256.20 203.73,256.54 209.42,256.83 215.11,257.10 220.79,257.33 223.58,257.43 226.48,257.54 232.17,257.72 235.97,257.83 237.86,257.88 243.55,258.03 249.24,258.15 254.55,258.26 254.93,258.26 260.62,258.36 266.31,258.45 272.00,258.53 277.69,258.60 283.38,258.66 289.07,258.72 294.76,258.76 300.44,258.81 306.13,258.85 311.82,258.88 317.51,258.91 323.20,258.93 328.89,258.96 ' style='stroke-width: 0.75; stroke: #28E2E5; stroke-dasharray: 7.00,3.00;' />
+<polygon points='47.60,66.64 50.12,64.12 52.64,66.64 50.12,69.16 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='47.60,70.25 50.12,67.73 52.64,70.25 50.12,72.77 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='59.99,111.11 62.51,108.59 65.03,111.11 62.51,113.63 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='59.99,111.11 62.51,108.59 65.03,111.11 62.51,113.63 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='69.28,120.12 71.80,117.60 74.32,120.12 71.80,122.64 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='69.28,112.71 71.80,110.19 74.32,112.71 71.80,115.23 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='80.12,127.74 82.64,125.21 85.16,127.74 82.64,130.26 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='80.12,128.34 82.64,125.82 85.16,128.34 82.64,130.86 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='111.10,147.17 113.62,144.64 116.14,147.17 113.62,149.69 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='111.10,150.17 113.62,147.65 116.14,150.17 113.62,152.69 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='145.17,164.99 147.69,162.47 150.21,164.99 147.69,167.51 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='145.17,160.39 147.69,157.87 150.21,160.39 147.69,162.91 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='188.53,169.60 191.05,167.08 193.57,169.60 191.05,172.12 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='188.53,165.59 191.05,163.07 193.57,165.59 191.05,168.11 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='233.45,174.81 235.97,172.29 238.49,174.81 235.97,177.33 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='233.45,176.41 235.97,173.89 238.49,176.41 235.97,178.93 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polyline points='50.12,71.38 51.67,76.30 54.76,85.24 55.81,88.00 59.41,96.69 60.96,100.05 61.50,101.17 62.51,103.21 65.60,108.97 67.19,111.65 71.80,118.61 72.87,120.06 78.56,126.86 81.09,129.46 82.64,130.94 84.25,132.40 89.94,136.97 91.93,138.38 95.63,140.78 96.58,141.36 101.32,144.01 102.77,144.75 107.01,146.77 112.70,149.18 113.62,149.54 118.39,151.31 124.08,153.21 124.46,153.33 129.77,154.94 135.30,156.50 135.46,156.54 141.15,158.02 143.04,158.50 146.83,159.42 147.69,159.62 152.52,160.75 158.21,162.02 158.53,162.09 163.90,163.24 169.59,164.42 175.28,165.57 180.97,166.69 186.66,167.79 189.50,168.33 191.05,168.62 192.35,168.87 198.04,169.92 203.73,170.96 209.42,171.98 215.11,172.99 220.79,173.98 223.58,174.46 226.48,174.96 232.17,175.93 235.97,176.57 237.86,176.88 243.55,177.83 249.24,178.76 254.55,179.62 254.93,179.68 260.62,180.59 266.31,181.49 272.00,182.37 277.69,183.25 283.38,184.12 289.07,184.98 294.76,185.82 300.44,186.66 306.13,187.49 311.82,188.31 317.51,189.12 323.20,189.92 328.89,190.71 ' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+</g>
+<defs>
+  <clipPath id='cpMzk4Ljk3fDcwMC4wNHw1MS4yM3wyNjcuMTM='>
+    <rect x='398.97' y='51.23' width='301.08' height='215.90' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzk4Ljk3fDcwMC4wNHw1MS4yM3wyNjcuMTM=)'>
+</g>
+<g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
+<line x1='410.12' y1='267.13' x2='696.41' y2='267.13' style='stroke-width: 0.75;' />
+<line x1='410.12' y1='267.13' x2='410.12' y2='271.89' style='stroke-width: 0.75;' />
+<line x1='467.38' y1='267.13' x2='467.38' y2='271.89' style='stroke-width: 0.75;' />
+<line x1='524.63' y1='267.13' x2='524.63' y2='271.89' style='stroke-width: 0.75;' />
+<line x1='581.89' y1='267.13' x2='581.89' y2='271.89' style='stroke-width: 0.75;' />
+<line x1='639.15' y1='267.13' x2='639.15' y2='271.89' style='stroke-width: 0.75;' />
+<line x1='696.41' y1='267.13' x2='696.41' y2='271.89' style='stroke-width: 0.75;' />
+<text x='410.12' y='284.24' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text x='467.38' y='284.24' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text x='524.63' y='284.24' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>40</text>
+<text x='581.89' y='284.24' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>60</text>
+<text x='639.15' y='284.24' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>80</text>
+<text x='696.41' y='284.24' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>100</text>
+<line x1='398.97' y1='246.91' x2='398.97' y2='71.46' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='246.91' x2='394.21' y2='246.91' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='203.05' x2='394.21' y2='203.05' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='159.18' x2='394.21' y2='159.18' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='115.32' x2='394.21' y2='115.32' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='71.46' x2='394.21' y2='71.46' style='stroke-width: 0.75;' />
+<text transform='translate(387.56,246.91) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='7.04px' lengthAdjust='spacingAndGlyphs'>-4</text>
+<text transform='translate(387.56,203.05) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='7.04px' lengthAdjust='spacingAndGlyphs'>-2</text>
+<text transform='translate(387.56,159.18) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text transform='translate(387.56,115.32) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>2</text>
+<text transform='translate(387.56,71.46) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>4</text>
+<polygon points='398.97,267.13 700.04,267.13 700.04,51.23 398.97,51.23 ' style='stroke-width: 0.75; fill: none;' />
+</g>
+<defs>
+  <clipPath id='cpMzYwLjAwfDcyMC4wMHw0MC43OHwyOTUuNjU='>
+    <rect x='360.00' y='40.78' width='360.00' height='254.87' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzYwLjAwfDcyMC4wMHw0MC43OHwyOTUuNjU=)'>
+<text x='549.50' y='303.25' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='33.46px' lengthAdjust='spacingAndGlyphs'>Predicted</text>
+<text transform='translate(368.55,159.18) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='76.62px' lengthAdjust='spacingAndGlyphs'>Standardized residual</text>
+</g>
+<g clip-path='url(#cpMzk4Ljk3fDcwMC4wNHw1MS4yM3wyNjcuMTM=)'>
+<line x1='398.97' y1='159.18' x2='700.04' y2='159.18' style='stroke-width: 0.75; stroke-dasharray: 4.00,4.00;' />
+<circle cx='684.29' cy='142.46' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='684.29' cy='151.80' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='614.36' cy='161.99' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='614.36' cy='184.18' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='571.77' cy='140.10' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='571.77' cy='157.61' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='537.46' cy='160.10' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='537.46' cy='171.78' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='495.30' cy='117.79' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='495.30' cy='165.67' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='465.67' cy='180.24' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='465.67' cy='175.57' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='440.35' cy='159.88' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='440.35' cy='173.90' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='421.13' cy='151.53' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='421.13' cy='149.20' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='415.95' cy='147.94' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='415.95' cy='143.27' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='413.39' cy='145.68' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='413.39' cy='141.01' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='670.80,126.68 673.20,130.84 668.40,130.84 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='670.80,141.86 673.20,146.02 668.40,146.02 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='653.01,131.19 655.41,135.35 650.61,135.35 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='653.01,187.24 655.41,191.40 650.61,191.40 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='632.38,198.85 634.78,203.01 629.98,203.01 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='632.38,200.02 634.78,204.18 629.98,204.18 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='603.27,194.58 605.67,198.74 600.87,198.74 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='603.27,132.69 605.67,136.84 600.87,136.84 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='560.00,137.20 562.40,141.36 557.61,141.36 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='560.00,130.20 562.40,134.35 557.61,134.35 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='522.88,136.40 525.28,140.55 520.48,140.55 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='522.88,167.93 525.28,172.09 520.48,172.09 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='506.91,171.70 509.31,175.86 504.51,175.86 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='506.91,136.67 509.31,140.83 504.51,140.83 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='497.32,183.98 499.72,188.14 494.92,188.14 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='497.32,173.47 499.72,177.63 494.92,177.63 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='483.52,146.35 485.92,150.51 481.12,150.51 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='483.52,133.51 485.92,137.66 481.12,137.66 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<line x1='668.79' y1='151.41' x2='673.83' y2='151.41' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='671.31' y1='153.93' x2='671.31' y2='148.89' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='668.79' y1='164.26' x2='673.83' y2='164.26' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='671.31' y1='166.78' x2='671.31' y2='161.74' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='601.17' y1='190.87' x2='606.21' y2='190.87' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='603.69' y1='193.39' x2='603.69' y2='188.35' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='601.17' y1='175.68' x2='606.21' y2='175.68' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='603.69' y1='178.20' x2='603.69' y2='173.16' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='526.78' y1='137.34' x2='531.82' y2='137.34' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='529.30' y1='139.86' x2='529.30' y2='134.82' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='526.78' y1='130.33' x2='531.82' y2='130.33' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='529.30' y1='132.85' x2='529.30' y2='127.81' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='463.64' y1='174.07' x2='468.68' y2='174.07' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='466.16' y1='176.59' x2='466.16' y2='171.55' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='463.64' y1='176.41' x2='468.68' y2='176.41' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='466.16' y1='178.93' x2='466.16' y2='173.89' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='437.86' y1='163.51' x2='442.90' y2='163.51' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='440.38' y1='166.03' x2='440.38' y2='160.99' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='437.86' y1='156.50' x2='442.90' y2='156.50' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='440.38' y1='159.02' x2='440.38' y2='153.98' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='416.39' y1='137.84' x2='421.43' y2='137.84' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='418.91' y1='140.36' x2='418.91' y2='135.32' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='416.39' y1='156.52' x2='421.43' y2='156.52' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='418.91' y1='159.04' x2='418.91' y2='154.00' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='408.80' y1='145.41' x2='413.84' y2='145.41' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='411.32' y1='147.93' x2='411.32' y2='142.89' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='408.80' y1='146.58' x2='413.84' y2='146.58' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='411.32' y1='149.10' x2='411.32' y2='144.06' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='407.75' y1='146.95' x2='412.79' y2='146.95' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='410.27' y1='149.47' x2='410.27' y2='144.43' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='407.75' y1='149.29' x2='412.79' y2='149.29' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='410.27' y1='151.81' x2='410.27' y2='146.77' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='687.11' y1='132.64' x2='690.67' y2='129.07' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='687.11' y1='129.07' x2='690.67' y2='132.64' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='687.11' y1='150.15' x2='690.67' y2='146.59' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='687.11' y1='146.59' x2='690.67' y2='150.15' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='635.34' y1='186.54' x2='638.90' y2='182.98' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='635.34' y1='182.98' x2='638.90' y2='186.54' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='635.34' y1='185.37' x2='638.90' y2='181.81' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='635.34' y1='181.81' x2='638.90' y2='185.37' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='567.85' y1='122.64' x2='571.42' y2='119.08' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='567.85' y1='119.08' x2='571.42' y2='122.64' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='567.85' y1='133.15' x2='571.42' y2='129.59' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='567.85' y1='129.59' x2='571.42' y2='133.15' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='498.65' y1='209.39' x2='502.21' y2='205.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='498.65' y1='205.83' x2='502.21' y2='209.39' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='498.65' y1='188.37' x2='502.21' y2='184.81' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='498.65' y1='184.81' x2='502.21' y2='188.37' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='472.66' y1='200.29' x2='476.22' y2='196.73' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='472.66' y1='196.73' x2='476.22' y2='200.29' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='472.66' y1='77.67' x2='476.22' y2='74.11' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='472.66' y1='74.11' x2='476.22' y2='77.67' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='448.79' y1='208.03' x2='452.35' y2='204.47' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='448.79' y1='204.47' x2='452.35' y2='208.03' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='448.79' y1='113.44' x2='452.35' y2='109.88' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='448.79' y1='109.88' x2='452.35' y2='113.44' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='428.53' y1='190.77' x2='432.09' y2='187.21' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='428.53' y1='187.21' x2='432.09' y2='190.77' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='428.53' y1='137.06' x2='432.09' y2='133.49' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='428.53' y1='133.49' x2='432.09' y2='137.06' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='418.09' y1='173.91' x2='421.66' y2='170.35' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='418.09' y1='170.35' x2='421.66' y2='173.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='418.09' y1='166.91' x2='421.66' y2='163.34' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='418.09' y1='163.34' x2='421.66' y2='166.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='413.21' y1='157.50' x2='416.77' y2='153.93' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='413.21' y1='153.93' x2='416.77' y2='157.50' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='413.21' y1='159.83' x2='416.77' y2='156.27' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='413.21' y1='156.27' x2='416.77' y2='159.83' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='410.20' y1='145.24' x2='413.77' y2='141.67' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='410.20' y1='141.67' x2='413.77' y2='145.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='410.20' y1='142.90' x2='413.77' y2='139.34' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='410.20' y1='139.34' x2='413.77' y2='142.90' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polygon points='675.94,131.54 678.46,129.02 680.98,131.54 678.46,134.06 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='675.94,152.56 678.46,150.04 680.98,152.56 678.46,155.08 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='630.46,205.25 632.98,202.73 635.50,205.25 632.98,207.77 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='630.46,205.25 632.98,202.73 635.50,205.25 632.98,207.77 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='608.45,168.02 610.97,165.50 613.49,168.02 610.97,170.54 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='608.45,124.81 610.97,122.29 613.49,124.81 610.97,127.33 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='590.83,140.51 593.35,137.99 595.87,140.51 593.35,143.03 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='590.83,144.02 593.35,141.50 595.87,144.02 593.35,146.54 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='564.24,145.34 566.76,142.82 569.28,145.34 566.76,147.86 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='564.24,162.85 566.76,160.33 569.28,162.85 566.76,165.37 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='549.83,190.48 552.35,187.96 554.87,190.48 552.35,193.00 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='549.83,163.62 552.35,161.10 554.87,163.62 552.35,166.14 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='536.97,164.88 539.49,162.36 542.01,164.88 539.49,167.40 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='536.97,141.52 539.49,139.00 542.01,141.52 539.49,144.04 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='525.61,148.93 528.13,146.41 530.65,148.93 528.13,151.45 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='525.61,158.27 528.13,155.75 530.65,158.27 528.13,160.79 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+</g>
+<defs>
+  <clipPath id='cpMzguOTd8MzQwLjA0fDMwNi4xMHw1MjcuNTM='>
+    <rect x='38.97' y='306.10' width='301.08' height='221.43' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzguOTd8MzQwLjA0fDMwNi4xMHw1MjcuNTM=)'>
+<polyline points='50.12,519.33 51.67,504.64 54.76,480.61 55.81,473.86 59.41,454.66 60.96,448.03 61.50,445.91 62.51,442.18 65.60,432.44 67.19,428.30 71.80,418.65 72.87,416.83 78.56,409.03 81.09,406.34 82.64,404.88 84.25,403.47 89.94,399.30 91.93,398.08 95.63,396.03 96.58,395.55 101.32,393.35 102.77,392.74 107.01,391.08 112.70,389.13 113.62,388.84 118.39,387.42 124.08,385.91 124.46,385.82 129.77,384.58 135.30,383.42 135.46,383.39 141.15,382.35 143.04,382.03 146.83,381.43 147.69,381.30 152.52,380.63 158.21,379.94 158.53,379.90 163.90,379.35 169.59,378.86 175.28,378.46 180.97,378.14 186.66,377.90 189.50,377.81 191.05,377.77 192.35,377.74 198.04,377.65 203.73,377.62 209.42,377.66 215.11,377.75 220.79,377.90 223.58,377.99 226.48,378.10 232.17,378.35 235.97,378.54 237.86,378.64 243.55,378.98 249.24,379.35 254.55,379.73 254.93,379.76 260.62,380.20 266.31,380.68 272.00,381.19 277.69,381.72 283.38,382.28 289.07,382.87 294.76,383.47 300.44,384.10 306.13,384.74 311.82,385.41 317.51,386.09 323.20,386.78 328.89,387.49 ' style='stroke-width: 1.50;' />
+</g>
+<g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
+<line x1='50.12' y1='527.53' x2='282.43' y2='527.53' style='stroke-width: 0.75;' />
+<line x1='50.12' y1='527.53' x2='50.12' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='127.55' y1='527.53' x2='127.55' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='204.99' y1='527.53' x2='204.99' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='282.43' y1='527.53' x2='282.43' y2='532.28' style='stroke-width: 0.75;' />
+<text x='50.12' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text x='127.55' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>50</text>
+<text x='204.99' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>100</text>
+<text x='282.43' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='13.22px' lengthAdjust='spacingAndGlyphs'>150</text>
+<line x1='38.97' y1='519.33' x2='38.97' y2='336.27' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='519.33' x2='34.21' y2='519.33' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='482.72' x2='34.21' y2='482.72' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='446.10' x2='34.21' y2='446.10' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='409.49' x2='34.21' y2='409.49' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='372.88' x2='34.21' y2='372.88' style='stroke-width: 0.75;' />
+<line x1='38.97' y1='336.27' x2='34.21' y2='336.27' style='stroke-width: 0.75;' />
+<text transform='translate(27.56,519.33) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text transform='translate(27.56,482.72) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>5</text>
+<text transform='translate(27.56,446.10) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>10</text>
+<text transform='translate(27.56,409.49) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>15</text>
+<text transform='translate(27.56,372.88) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text transform='translate(27.56,336.27) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>25</text>
+<polygon points='38.97,527.53 340.04,527.53 340.04,306.10 38.97,306.10 ' style='stroke-width: 0.75; fill: none;' />
+</g>
+<defs>
+  <clipPath id='cpMC4wMHwzNjAuMDB8Mjk1LjY1fDU3Ni4wMA=='>
+    <rect x='0.00' y='295.65' width='360.00' height='280.35' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMC4wMHwzNjAuMDB8Mjk1LjY1fDU3Ni4wMA==)'>
+<text x='189.50' y='563.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='17.60px' lengthAdjust='spacingAndGlyphs'>Time</text>
+<text transform='translate(8.55,416.82) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='44.92px' lengthAdjust='spacingAndGlyphs'>Residues A1</text>
+</g>
+<g clip-path='url(#cpMzguOTd8MzQwLjA0fDMwNi4xMHw1MjcuNTM=)'>
+<circle cx='54.76' cy='487.84' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='54.76' cy='485.65' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='59.41' cy='468.07' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='59.41' cy='466.61' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='65.60' cy='459.28' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='65.60' cy='460.75' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='81.09' cy='438.78' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='81.09' cy='419.01' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='102.77' cy='435.12' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='102.77' cy='426.33' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='135.30' cy='410.22' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='135.30' cy='413.15' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='189.50' cy='430.73' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='189.50' cy='429.26' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='223.58' cy='446.84' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='223.58' cy='444.64' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='254.55' cy='454.89' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='254.55' cy='462.21' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polyline points='50.12,519.33 51.67,505.61 54.76,484.62 55.81,479.07 59.41,464.12 60.96,459.27 61.50,457.76 62.51,455.12 65.60,448.50 67.19,445.80 71.80,439.71 72.87,438.59 78.56,433.93 81.09,432.36 82.64,431.52 84.25,430.73 89.94,428.45 91.93,427.81 95.63,426.81 96.58,426.59 101.32,425.66 102.77,425.43 107.01,424.89 112.70,424.45 113.62,424.40 118.39,424.28 124.08,424.35 124.46,424.37 129.77,424.64 135.30,425.08 135.46,425.10 141.15,425.72 143.04,425.96 146.83,426.48 147.69,426.60 152.52,427.36 158.21,428.34 158.53,428.39 163.90,429.40 169.59,430.55 175.28,431.75 180.97,433.01 186.66,434.31 189.50,434.98 191.05,435.35 192.35,435.65 198.04,437.02 203.73,438.41 209.42,439.81 215.11,441.22 220.79,442.64 223.58,443.34 226.48,444.07 232.17,445.49 235.97,446.43 237.86,446.90 243.55,448.31 249.24,449.71 254.55,451.01 254.93,451.10 260.62,452.48 266.31,453.84 272.00,455.19 277.69,456.51 283.38,457.82 289.07,459.12 294.76,460.39 300.44,461.64 306.13,462.87 311.82,464.08 317.51,465.27 323.20,466.44 328.89,467.58 ' style='stroke-width: 0.75; stroke: #DF536B; stroke-dasharray: 4.00,4.00;' />
+<polygon points='54.76,488.00 57.16,492.16 52.36,492.16 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='54.76,493.86 57.16,498.01 52.36,498.01 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='60.96,466.03 63.36,470.19 58.56,470.19 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='60.96,468.23 63.36,472.39 58.56,472.39 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='71.80,440.40 74.20,444.56 69.40,444.56 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='71.80,455.78 74.20,459.94 69.40,459.94 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='96.58,411.11 98.98,415.27 94.18,415.27 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='96.58,416.24 98.98,420.40 94.18,420.40 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='143.04,354.73 145.44,358.89 140.64,358.89 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='143.04,353.27 145.44,357.42 140.64,357.42 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='189.50,315.19 191.90,319.35 187.10,319.35 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='189.50,330.57 191.90,334.73 187.10,334.73 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='235.97,311.53 238.37,315.69 233.57,315.69 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='235.97,321.78 238.37,325.94 233.57,325.94 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='328.89,327.64 331.29,331.80 326.49,331.80 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='328.89,331.30 331.29,335.46 326.49,335.46 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polyline points='50.12,519.33 51.67,512.43 54.76,499.44 55.81,495.30 59.41,481.83 60.96,476.42 61.50,474.59 62.51,471.22 65.60,461.43 67.19,456.73 71.80,444.05 72.87,441.30 78.56,427.96 81.09,422.62 82.64,419.51 84.25,416.41 89.94,406.39 91.93,403.20 95.63,397.68 96.58,396.35 101.32,390.10 102.77,388.33 107.01,383.49 112.70,377.71 113.62,376.85 118.39,372.64 124.08,368.18 124.46,367.90 129.77,364.24 135.30,360.85 135.46,360.76 141.15,357.66 143.04,356.71 146.83,354.90 147.69,354.51 152.52,352.42 158.21,350.19 158.53,350.08 163.90,348.18 169.59,346.35 175.28,344.68 180.97,343.14 186.66,341.73 189.50,341.07 191.05,340.71 192.35,340.42 198.04,339.21 203.73,338.07 209.42,337.00 215.11,335.99 220.79,335.04 223.58,334.59 226.48,334.13 232.17,333.26 235.97,332.71 237.86,332.44 243.55,331.64 249.24,330.88 254.55,330.19 254.93,330.14 260.62,329.43 266.31,328.74 272.00,328.07 277.69,327.42 283.38,326.79 289.07,326.17 294.76,325.57 300.44,324.98 306.13,324.41 311.82,323.85 317.51,323.30 323.20,322.77 328.89,322.24 ' style='stroke-width: 0.75; stroke: #61D04F; stroke-dasharray: 1.00,3.00;' />
+<line x1='49.15' y1='449.03' x2='54.19' y2='449.03' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='51.67' y1='451.55' x2='51.67' y2='446.51' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='49.15' y1='462.95' x2='54.19' y2='462.95' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='51.67' y1='465.47' x2='51.67' y2='460.43' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='52.24' y1='409.49' x2='57.28' y2='409.49' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='54.76' y1='412.01' x2='54.76' y2='406.97' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='52.24' y1='408.76' x2='57.28' y2='408.76' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='54.76' y1='411.28' x2='54.76' y2='406.24' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='59.99' y1='364.09' x2='65.03' y2='364.09' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='62.51' y1='366.61' x2='62.51' y2='361.57' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='59.99' y1='364.83' x2='65.03' y2='364.83' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='62.51' y1='367.35' x2='62.51' y2='362.31' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='69.28' y1='375.08' x2='74.32' y2='375.08' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='71.80' y1='377.60' x2='71.80' y2='372.56' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='69.28' y1='380.94' x2='74.32' y2='380.94' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='71.80' y1='383.46' x2='71.80' y2='378.42' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='89.41' y1='391.19' x2='94.45' y2='391.19' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='91.93' y1='393.71' x2='91.93' y2='388.67' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='89.41' y1='402.90' x2='94.45' y2='402.90' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='91.93' y1='405.42' x2='91.93' y2='400.38' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='121.94' y1='449.77' x2='126.98' y2='449.77' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='124.46' y1='452.29' x2='124.46' y2='447.25' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='121.94' y1='447.57' x2='126.98' y2='447.57' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='124.46' y1='450.09' x2='124.46' y2='445.05' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='156.01' y1='473.93' x2='161.05' y2='473.93' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='158.53' y1='476.45' x2='158.53' y2='471.41' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='156.01' y1='474.66' x2='161.05' y2='474.66' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='158.53' y1='477.18' x2='158.53' y2='472.14' style='stroke-width: 0.75; stroke: #2297E6;' />
+<polyline points='50.12,519.33 51.67,463.87 54.76,406.53 55.81,396.24 59.41,377.26 60.96,373.60 61.50,372.71 62.51,371.43 65.60,369.88 67.19,370.04 71.80,372.71 72.87,373.66 78.56,380.05 81.09,383.39 82.64,385.54 84.25,387.85 89.94,396.32 91.93,399.35 95.63,405.00 96.58,406.44 101.32,413.58 102.77,415.73 107.01,421.87 112.70,429.77 113.62,430.99 118.39,437.19 124.08,444.12 124.46,444.57 129.77,450.55 135.30,456.33 135.46,456.49 141.15,461.96 143.04,463.69 146.83,466.99 147.69,467.70 152.52,471.59 158.21,475.80 158.53,476.03 163.90,479.66 169.59,483.17 175.28,486.39 180.97,489.32 186.66,491.99 189.50,493.23 191.05,493.89 192.35,494.42 198.04,496.64 203.73,498.67 209.42,500.51 215.11,502.19 220.79,503.72 223.58,504.42 226.48,505.11 232.17,506.38 235.97,507.16 237.86,507.54 243.55,508.59 249.24,509.55 254.55,510.37 254.93,510.42 260.62,511.22 266.31,511.94 272.00,512.60 277.69,513.20 283.38,513.75 289.07,514.25 294.76,514.70 300.44,515.12 306.13,515.49 311.82,515.83 317.51,516.15 323.20,516.43 328.89,516.69 ' style='stroke-width: 0.75; stroke: #2297E6; stroke-dasharray: 1.00,3.00,4.00,3.00;' />
+<line x1='49.88' y1='490.36' x2='53.45' y2='486.79' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='49.88' y1='486.79' x2='53.45' y2='490.36' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='49.88' y1='492.55' x2='53.45' y2='488.99' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='49.88' y1='488.99' x2='53.45' y2='492.55' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.98' y1='466.92' x2='56.55' y2='463.36' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.98' y1='463.36' x2='56.55' y2='466.92' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.98' y1='463.26' x2='56.55' y2='459.70' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='52.98' y1='459.70' x2='56.55' y2='463.26' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='60.73' y1='414.94' x2='64.29' y2='411.37' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='60.73' y1='411.37' x2='64.29' y2='414.94' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='60.73' y1='420.79' x2='64.29' y2='417.23' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='60.73' y1='417.23' x2='64.29' y2='420.79' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='70.02' y1='417.13' x2='73.58' y2='413.57' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='70.02' y1='413.57' x2='73.58' y2='417.13' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='70.02' y1='431.78' x2='73.58' y2='428.21' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='70.02' y1='428.21' x2='73.58' y2='431.78' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='90.15' y1='420.79' x2='93.72' y2='417.23' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='90.15' y1='417.23' x2='93.72' y2='420.79' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='90.15' y1='424.45' x2='93.72' y2='420.89' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='90.15' y1='420.89' x2='93.72' y2='424.45' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='122.67' y1='421.53' x2='126.24' y2='417.96' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='122.67' y1='417.96' x2='126.24' y2='421.53' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='122.67' y1='408.35' x2='126.24' y2='404.78' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='122.67' y1='404.78' x2='126.24' y2='408.35' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='156.75' y1='444.96' x2='160.31' y2='441.39' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='156.75' y1='441.39' x2='160.31' y2='444.96' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='156.75' y1='436.17' x2='160.31' y2='432.61' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='156.75' y1='432.61' x2='160.31' y2='436.17' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.27' y1='447.89' x2='192.83' y2='444.32' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.27' y1='444.32' x2='192.83' y2='447.89' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.27' y1='451.55' x2='192.83' y2='447.98' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='189.27' y1='447.98' x2='192.83' y2='451.55' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='234.18' y1='454.48' x2='237.75' y2='450.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='234.18' y1='450.91' x2='237.75' y2='454.48' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='234.18' y1='455.21' x2='237.75' y2='451.64' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='234.18' y1='451.64' x2='237.75' y2='455.21' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polyline points='50.12,519.33 51.67,492.52 54.76,458.17 55.81,450.54 59.41,433.33 60.96,428.84 61.50,427.56 62.51,425.46 65.60,420.95 67.19,419.43 71.80,416.74 72.87,416.35 78.56,415.18 81.09,414.96 82.64,414.89 84.25,414.87 89.94,415.06 91.93,415.22 95.63,415.61 96.58,415.73 101.32,416.44 102.77,416.69 107.01,417.50 112.70,418.75 113.62,418.97 118.39,420.16 124.08,421.70 124.46,421.81 129.77,423.35 135.30,425.05 135.46,425.10 141.15,426.91 143.04,427.52 146.83,428.77 147.69,429.05 152.52,430.68 158.21,432.61 158.53,432.72 163.90,434.56 169.59,436.52 175.28,438.48 180.97,440.44 186.66,442.38 189.50,443.35 191.05,443.87 192.35,444.31 198.04,446.22 203.73,448.10 209.42,449.96 215.11,451.79 220.79,453.59 223.58,454.45 226.48,455.35 232.17,457.08 235.97,458.21 237.86,458.77 243.55,460.43 249.24,462.06 254.55,463.54 254.93,463.64 260.62,465.19 266.31,466.70 272.00,468.18 277.69,469.62 283.38,471.02 289.07,472.39 294.76,473.72 300.44,475.02 306.13,476.28 311.82,477.51 317.51,478.71 323.20,479.87 328.89,481.01 ' style='stroke-width: 0.75; stroke: #28E2E5; stroke-dasharray: 7.00,3.00;' />
+<polygon points='59.99,495.16 62.51,492.64 65.03,495.16 62.51,497.68 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='59.99,494.43 62.51,491.91 65.03,494.43 62.51,496.95 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='69.28,490.77 71.80,488.25 74.32,490.77 71.80,493.29 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='69.28,498.09 71.80,495.57 74.32,498.09 71.80,500.61 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='80.12,472.47 82.64,469.95 85.16,472.47 82.64,474.99 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='80.12,466.61 82.64,464.09 85.16,466.61 82.64,469.13 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='111.10,452.69 113.62,450.17 116.14,452.69 113.62,455.21 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='111.10,457.09 113.62,454.57 116.14,457.09 113.62,459.61 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='145.17,433.66 147.69,431.14 150.21,433.66 147.69,436.18 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='145.17,431.46 147.69,428.94 150.21,431.46 147.69,433.98 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='188.53,421.94 191.05,419.42 193.57,421.94 191.05,424.46 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='188.53,422.67 191.05,420.15 193.57,422.67 191.05,425.19 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='233.45,414.62 235.97,412.10 238.49,414.62 235.97,417.14 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='233.45,430.73 235.97,428.21 238.49,430.73 235.97,433.25 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polyline points='50.12,519.33 51.67,514.79 54.76,506.54 55.81,504.00 59.41,496.00 60.96,492.90 61.50,491.87 62.51,490.00 65.60,484.70 67.19,482.24 71.80,475.87 72.87,474.54 78.56,468.34 81.09,465.97 82.64,464.63 84.25,463.30 89.94,459.17 91.93,457.90 95.63,455.74 96.58,455.22 101.32,452.86 102.77,452.19 107.01,450.40 112.70,448.29 113.62,447.97 118.39,446.43 124.08,444.78 124.46,444.68 129.77,443.29 135.30,441.97 135.46,441.94 141.15,440.68 143.04,440.28 146.83,439.51 147.69,439.34 152.52,438.40 158.21,437.35 158.53,437.29 163.90,436.35 169.59,435.38 175.28,434.44 180.97,433.53 186.66,432.65 189.50,432.22 191.05,431.98 192.35,431.79 198.04,430.94 203.73,430.12 209.42,429.31 215.11,428.51 220.79,427.73 223.58,427.35 226.48,426.96 232.17,426.21 235.97,425.71 237.86,425.46 243.55,424.73 249.24,424.02 254.55,423.35 254.93,423.31 260.62,422.61 266.31,421.93 272.00,421.25 277.69,420.59 283.38,419.93 289.07,419.29 294.76,418.66 300.44,418.03 306.13,417.42 311.82,416.82 317.51,416.22 323.20,415.64 328.89,415.06 ' style='stroke-width: 0.75; stroke: #CD0BBC; stroke-dasharray: 2.00,2.00,6.00,2.00;' />
+</g>
+<defs>
+  <clipPath id='cpMzk4Ljk3fDcwMC4wNHwzMDYuMTB8NTI3LjUz'>
+    <rect x='398.97' y='306.10' width='301.08' height='221.43' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzk4Ljk3fDcwMC4wNHwzMDYuMTB8NTI3LjUz)'>
+</g>
+<g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
+<line x1='410.12' y1='527.53' x2='669.05' y2='527.53' style='stroke-width: 0.75;' />
+<line x1='410.12' y1='527.53' x2='410.12' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='461.90' y1='527.53' x2='461.90' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='513.69' y1='527.53' x2='513.69' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='565.48' y1='527.53' x2='565.48' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='617.26' y1='527.53' x2='617.26' y2='532.28' style='stroke-width: 0.75;' />
+<line x1='669.05' y1='527.53' x2='669.05' y2='532.28' style='stroke-width: 0.75;' />
+<text x='410.12' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text x='461.90' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>5</text>
+<text x='513.69' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>10</text>
+<text x='565.48' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>15</text>
+<text x='617.26' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>20</text>
+<text x='669.05' y='544.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='8.81px' lengthAdjust='spacingAndGlyphs'>25</text>
+<line x1='398.97' y1='506.79' x2='398.97' y2='326.84' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='506.79' x2='394.21' y2='506.79' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='461.80' x2='394.21' y2='461.80' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='416.82' x2='394.21' y2='416.82' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='371.83' x2='394.21' y2='371.83' style='stroke-width: 0.75;' />
+<line x1='398.97' y1='326.84' x2='394.21' y2='326.84' style='stroke-width: 0.75;' />
+<text transform='translate(387.56,506.79) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='7.04px' lengthAdjust='spacingAndGlyphs'>-4</text>
+<text transform='translate(387.56,461.80) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='7.04px' lengthAdjust='spacingAndGlyphs'>-2</text>
+<text transform='translate(387.56,416.82) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>0</text>
+<text transform='translate(387.56,371.83) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>2</text>
+<text transform='translate(387.56,326.84) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='4.41px' lengthAdjust='spacingAndGlyphs'>4</text>
+<polygon points='398.97,527.53 700.04,527.53 700.04,306.10 398.97,306.10 ' style='stroke-width: 0.75; fill: none;' />
+</g>
+<defs>
+  <clipPath id='cpMzYwLjAwfDcyMC4wMHwyOTUuNjV8NTc2LjAw'>
+    <rect x='360.00' y='295.65' width='360.00' height='280.35' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpMzYwLjAwfDcyMC4wMHwyOTUuNjV8NTc2LjAw)'>
+<text x='549.50' y='563.64' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='33.46px' lengthAdjust='spacingAndGlyphs'>Predicted</text>
+<text transform='translate(368.55,416.82) rotate(-90)' text-anchor='middle' style='font-size: 7.92px; font-family: sans;' textLength='76.62px' lengthAdjust='spacingAndGlyphs'>Standardized residual</text>
+</g>
+<g clip-path='url(#cpMzk4Ljk3fDcwMC4wNHwzMDYuMTB8NTI3LjUz)'>
+<line x1='398.97' y1='416.82' x2='700.04' y2='416.82' style='stroke-width: 0.75; stroke-dasharray: 4.00,4.00;' />
+<circle cx='459.21' cy='422.09' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='459.21' cy='418.49' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='488.20' cy='423.27' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='488.20' cy='420.88' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='510.30' cy='434.45' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='510.30' cy='436.85' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='533.12' cy='427.31' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='533.12' cy='394.97' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='542.94' cy='432.67' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='542.94' cy='418.30' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='543.42' cy='392.51' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='543.42' cy='397.30' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='529.43' cy='409.86' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='529.43' cy='407.46' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='517.60' cy='422.54' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='517.60' cy='418.94' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='506.75' cy='423.16' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<circle cx='506.75' cy='435.14' r='1.78' style='stroke-width: 0.75; stroke: #DF536B;' />
+<polygon points='438.25,399.86 440.65,404.02 435.85,404.02 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='438.25,409.44 440.65,413.60 435.85,413.60 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='470.81,401.59 473.21,405.74 468.41,405.74 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='470.81,405.18 473.21,409.34 468.41,409.34 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='516.60,412.62 519.00,416.78 514.20,416.78 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='516.60,437.77 519.00,441.93 514.20,441.93 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='584.07,442.73 586.47,446.89 581.67,446.89 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='584.07,451.12 586.47,455.27 581.67,455.27 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='640.14,415.35 642.54,419.51 637.74,419.51 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='640.14,412.95 642.54,417.11 637.74,417.11 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='662.26,376.25 664.66,380.41 659.86,380.41 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='662.26,401.41 664.66,405.56 659.86,405.56 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='674.09,383.94 676.49,388.09 671.69,388.09 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='674.09,400.70 676.49,404.86 671.69,404.86 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='688.89,427.41 691.29,431.56 686.49,431.56 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<polygon points='688.89,433.40 691.29,437.55 686.49,437.55 ' style='stroke-width: 0.75; stroke: #61D04F; fill: none;' />
+<line x1='486.05' y1='392.55' x2='491.09' y2='392.55' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='488.57' y1='395.07' x2='488.57' y2='390.03' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='486.05' y1='415.31' x2='491.09' y2='415.31' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='488.57' y1='417.83' x2='488.57' y2='412.79' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='567.15' y1='421.67' x2='572.19' y2='421.67' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='569.67' y1='424.19' x2='569.67' y2='419.15' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='567.15' y1='420.47' x2='572.19' y2='420.47' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='569.67' y1='422.99' x2='569.67' y2='417.95' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='616.80' y1='404.82' x2='621.84' y2='404.82' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='619.32' y1='407.34' x2='619.32' y2='402.30' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='616.80' y1='406.02' x2='621.84' y2='406.02' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='619.32' y1='408.54' x2='619.32' y2='403.50' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='614.99' y1='420.69' x2='620.03' y2='420.69' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='617.51' y1='423.21' x2='617.51' y2='418.17' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='614.99' y1='430.27' x2='620.03' y2='430.27' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='617.51' y1='432.79' x2='617.51' y2='427.75' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='577.30' y1='403.46' x2='582.34' y2='403.46' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='579.82' y1='405.98' x2='579.82' y2='400.94' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='577.30' y1='422.62' x2='582.34' y2='422.62' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='579.82' y1='425.14' x2='579.82' y2='420.10' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='513.35' y1='425.32' x2='518.39' y2='425.32' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='515.87' y1='427.84' x2='515.87' y2='422.80' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='513.35' y1='421.73' x2='518.39' y2='421.73' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='515.87' y1='424.25' x2='515.87' y2='419.21' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='468.85' y1='413.38' x2='473.89' y2='413.38' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='471.37' y1='415.90' x2='471.37' y2='410.86' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='468.85' y1='414.58' x2='473.89' y2='414.58' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='471.37' y1='417.10' x2='471.37' y2='412.06' style='stroke-width: 0.75; stroke: #2297E6;' />
+<line x1='446.25' y1='412.14' x2='449.82' y2='408.58' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='446.25' y1='408.58' x2='449.82' y2='412.14' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='446.25' y1='415.74' x2='449.82' y2='412.17' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='446.25' y1='412.17' x2='449.82' y2='415.74' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='494.85' y1='430.01' x2='498.41' y2='426.44' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='494.85' y1='426.44' x2='498.41' y2='430.01' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='494.85' y1='424.02' x2='498.41' y2='420.46' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='494.85' y1='420.46' x2='498.41' y2='424.02' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='541.11' y1='398.47' x2='544.68' y2='394.91' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='541.11' y1='394.91' x2='544.68' y2='398.47' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='541.11' y1='408.05' x2='544.68' y2='404.49' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='541.11' y1='404.49' x2='544.68' y2='408.05' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='553.45' y1='416.33' x2='557.01' y2='412.76' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='553.45' y1='412.76' x2='557.01' y2='416.33' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='553.45' y1='440.28' x2='557.01' y2='436.72' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='553.45' y1='436.72' x2='557.01' y2='440.28' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='555.60' y1='424.80' x2='559.16' y2='421.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='555.60' y1='421.24' x2='559.16' y2='424.80' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='555.60' y1='430.79' x2='559.16' y2='427.23' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='555.60' y1='427.23' x2='559.16' y2='430.79' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='546.27' y1='415.22' x2='549.84' y2='411.65' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='546.27' y1='411.65' x2='549.84' y2='415.22' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='546.27' y1='393.66' x2='549.84' y2='390.10' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='546.27' y1='390.10' x2='549.84' y2='393.66' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='530.84' y1='435.70' x2='534.41' y2='432.14' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='530.84' y1='432.14' x2='534.41' y2='435.70' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='530.84' y1='421.33' x2='534.41' y2='417.77' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='530.84' y1='417.77' x2='534.41' y2='421.33' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='515.06' y1='422.25' x2='518.63' y2='418.68' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='515.06' y1='418.68' x2='518.63' y2='422.25' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='515.06' y1='428.24' x2='518.63' y2='424.67' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='515.06' y1='424.67' x2='518.63' y2='428.24' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='494.78' y1='409.57' x2='498.34' y2='406.01' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='494.78' y1='406.01' x2='498.34' y2='409.57' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='494.78' y1='410.77' x2='498.34' y2='407.20' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<line x1='494.78' y1='407.20' x2='498.34' y2='410.77' style='stroke-width: 0.75; stroke: #28E2E5;' />
+<polygon points='449.08,425.27 451.60,422.75 454.12,425.27 451.60,427.79 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='449.08,424.07 451.60,421.55 454.12,424.07 451.60,426.59 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='469.07,441.19 471.59,438.67 474.11,441.19 471.59,443.71 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='469.07,453.17 471.59,450.65 474.11,453.17 471.59,455.69 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='484.97,429.64 487.49,427.12 490.01,429.64 487.49,432.16 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='484.97,420.06 487.49,417.54 490.01,420.06 487.49,422.58 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='508.53,424.54 511.05,422.02 513.57,424.54 511.05,427.06 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='508.53,431.73 511.05,429.21 513.57,431.73 511.05,434.25 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='520.74,407.52 523.26,405.00 525.78,407.52 523.26,410.04 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='520.74,403.93 523.26,401.41 525.78,403.93 523.26,406.45 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='531.15,400.39 533.67,397.87 536.19,400.39 533.67,402.91 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='531.15,401.59 533.67,399.07 536.19,401.59 533.67,404.11 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='540.02,398.67 542.54,396.15 545.06,398.67 542.54,401.19 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+<polygon points='540.02,425.02 542.54,422.50 545.06,425.02 542.54,427.54 ' style='stroke-width: 0.75; stroke: #CD0BBC; fill: none;' />
+</g>
+<defs>
+  <clipPath id='cpNTkuMDR8Njg5Ljc2fDU5LjA0fDUwMi41Ng=='>
+    <rect x='59.04' y='59.04' width='630.72' height='443.52' />
+  </clipPath>
+</defs>
+<g clip-path='url(#cpNTkuMDR8Njg5Ljc2fDU5LjA0fDUwMi41Ng==)'>
+</g>
+</svg>
diff --git a/tests/testthat/print_mmkin_biphasic_mixed.txt b/tests/testthat/print_mmkin_biphasic_mixed.txt
index 11e11bfc..0b23fe58 100644
--- a/tests/testthat/print_mmkin_biphasic_mixed.txt
+++ b/tests/testthat/print_mmkin_biphasic_mixed.txt
@@ -8,7 +8,7 @@ d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
            exp(-k2 * time))) * parent - k_m1 * m1
 
 Data:
-509 observations of 2 variable(s) grouped in 15 datasets
+507 observations of 2 variable(s) grouped in 15 datasets
 
 <mmkin> object
 Status of individual fits:
@@ -21,6 +21,6 @@ OK: No warnings
 
 Mean fitted parameters:
        parent_0        log_k_m1 f_parent_qlogis          log_k1          log_k2 
-        100.702          -5.347          -0.078          -2.681          -4.366 
+        100.667          -5.378          -0.095          -2.743          -4.510 
        g_qlogis 
-         -0.335 
+         -0.180 
diff --git a/tests/testthat/print_nlme_biphasic.txt b/tests/testthat/print_nlme_biphasic.txt
index f86bda76..f40d438d 100644
--- a/tests/testthat/print_nlme_biphasic.txt
+++ b/tests/testthat/print_nlme_biphasic.txt
@@ -9,21 +9,21 @@ d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
            exp(-k2 * time))) * parent - k_m1 * m1
 
 Data:
-509 observations of 2 variable(s) grouped in 15 datasets
+507 observations of 2 variable(s) grouped in 15 datasets
 
-Log-likelihood: -1329
+Log-likelihood: -1326
 
 Fixed effects:
  list(parent_0 ~ 1, log_k_m1 ~ 1, f_parent_qlogis ~ 1, log_k1 ~ 1,      log_k2 ~ 1, g_qlogis ~ 1) 
        parent_0        log_k_m1 f_parent_qlogis          log_k1          log_k2 
-         100.43           -5.34           -0.08           -2.90           -4.34 
+          100.7            -5.4            -0.1            -2.8            -4.5 
        g_qlogis 
-          -0.19 
+           -0.1 
 
 Random effects:
  Formula: list(parent_0 ~ 1, log_k_m1 ~ 1, f_parent_qlogis ~ 1, log_k1 ~ 1,      log_k2 ~ 1, g_qlogis ~ 1)
  Level: ds
  Structure: Diagonal
         parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2 g_qlogis Residual
-StdDev:        1      0.1             0.3    0.6    0.5      0.3        3
+StdDev:        1     0.03             0.3    0.3    0.2      0.3        3
 
diff --git a/tests/testthat/print_sfo_saem_1.txt b/tests/testthat/print_sfo_saem_1.txt
index d341e9e7..3fc9ca3b 100644
--- a/tests/testthat/print_sfo_saem_1.txt
+++ b/tests/testthat/print_sfo_saem_1.txt
@@ -3,19 +3,19 @@ Structural model:
 d_parent/dt = - k_parent * parent
 
 Data:
-264 observations of 1 variable(s) grouped in 15 datasets
+262 observations of 1 variable(s) grouped in 15 datasets
 
 Likelihood computed by importance sampling
    AIC  BIC logLik
-  1320 1324   -654
+  1311 1315   -649
 
 Fitted parameters:
              estimate lower upper
-parent_0        1e+02 98.78 1e+02
+parent_0        1e+02 98.96 1e+02
 k_parent        4e-02  0.03 4e-02
-Var.parent_0    8e-01 -1.76 3e+00
-Var.k_parent    9e-02  0.03 2e-01
-a.1             9e-01  0.70 1e+00
-b.1             4e-02  0.03 4e-02
-SD.parent_0     9e-01 -0.57 2e+00
+Var.parent_0    8e-01 -1.94 3e+00
+Var.k_parent    1e-01  0.03 2e-01
+a.1             9e-01  0.75 1e+00
+b.1             5e-02  0.04 5e-02
+SD.parent_0     9e-01 -0.67 2e+00
 SD.k_parent     3e-01  0.20 4e-01
diff --git a/tests/testthat/setup_script.R b/tests/testthat/setup_script.R
index 547b2d6c..cb3713aa 100644
--- a/tests/testthat/setup_script.R
+++ b/tests/testthat/setup_script.R
@@ -106,6 +106,7 @@ const <- function(value) 2
 set.seed(123456)
 SFO <- mkinmod(parent = mkinsub("SFO"))
 k_parent = rlnorm(n, log(0.03), log_sd)
+set.seed(123456)
 ds_sfo <- lapply(1:n, function(i) {
   ds_mean <- mkinpredict(SFO, c(k_parent = k_parent[i]),
     c(parent = 100), sampling_times)
@@ -118,6 +119,7 @@ fomc_pop <- list(parent_0 = 100, alpha = 2, beta = 8)
 fomc_parms <- as.matrix(data.frame(
     alpha = rlnorm(n, log(fomc_pop$alpha), 0.4),
     beta = rlnorm(n, log(fomc_pop$beta), 0.2)))
+set.seed(123456)
 ds_fomc <- lapply(1:3, function(i) {
   ds_mean <- mkinpredict(FOMC, fomc_parms[i, ],
     c(parent = 100), sampling_times)
@@ -131,6 +133,7 @@ dfop_parms <- as.matrix(data.frame(
   k1 = rlnorm(n, log(dfop_pop$k1), log_sd),
   k2 = rlnorm(n, log(dfop_pop$k2), log_sd),
   g = plogis(rnorm(n, qlogis(dfop_pop$g), log_sd))))
+set.seed(123456)
 ds_dfop <- lapply(1:n, function(i) {
   ds_mean <- mkinpredict(DFOP, dfop_parms[i, ],
     c(parent = dfop_pop$parent_0), sampling_times)
@@ -144,6 +147,7 @@ hs_parms <- as.matrix(data.frame(
   k1 = rlnorm(n, log(hs_pop$k1), log_sd),
   k2 = rlnorm(n, log(hs_pop$k2), log_sd),
   tb = rlnorm(n, log(hs_pop$tb), 0.1)))
+set.seed(123456)
 ds_hs <- lapply(1:10, function(i) {
   ds_mean <- mkinpredict(HS, hs_parms[i, ],
     c(parent = hs_pop$parent_0), sampling_times)
@@ -171,6 +175,7 @@ ds_biphasic_mean <- lapply(1:n_biphasic,
       c(parent = 100, m1 = 0), sampling_times)
   }
 )
+set.seed(123456)
 ds_biphasic <- lapply(ds_biphasic_mean, function(ds) {
   add_err(ds,
     sdfunc = function(value) sqrt(err_1$const^2 + value^2 * err_1$prop^2),
@@ -178,6 +183,10 @@ ds_biphasic <- lapply(ds_biphasic_mean, function(ds) {
 })
 
 # Mixed model fits
+saemix_available <- FALSE
+if (requireNamespace("saemix", quietly = TRUE)) {
+  if(packageVersion("saemix") >= "3.0") saemix_available <- TRUE
+}
 mmkin_sfo_1 <- mmkin("SFO", ds_sfo, quiet = TRUE, error_model = "tc", cores = n_cores)
 mmkin_dfop_1 <- mmkin("DFOP", ds_dfop, quiet = TRUE, cores = n_cores)
 mmkin_biphasic <- mmkin(list("DFOP-SFO" = DFOP_SFO), ds_biphasic, quiet = TRUE, cores = n_cores)
@@ -186,6 +195,26 @@ mmkin_biphasic_mixed <- mixed(mmkin_biphasic)
 dfop_nlme_1 <- nlme(mmkin_dfop_1)
 nlme_biphasic <- nlme(mmkin_biphasic)
 
+if (saemix_available) {
+  sfo_saem_1 <- saem(mmkin_sfo_1, quiet = TRUE, transformations = "saemix")
+
+  # With default control parameters, we do not get good results with mkin
+  # transformations here
+  dfop_saemix_1 <- saem(mmkin_dfop_1, quiet = TRUE, transformations = "mkin",
+   control = list(
+     displayProgress = FALSE, print = FALSE, save = FALSE, save.graphs = FALSE,
+     rw.init = 1, nbiter.saemix = c(600, 100))
+  )
+  dfop_saemix_2 <- saem(mmkin_dfop_1, quiet = TRUE, transformations = "saemix",
+   control = list(
+     displayProgress = FALSE, print = FALSE, save = FALSE, save.graphs = FALSE,
+     rw.init = 0.5, nbiter.saemix = c(600, 100))
+  )
+
+  saem_biphasic_m <- saem(mmkin_biphasic, transformations = "mkin", quiet = TRUE)
+  saem_biphasic_s <- saem(mmkin_biphasic, transformations = "saemix", quiet = TRUE)
+}
+
 ds_uba <- lapply(experimental_data_for_UBA_2019[6:10],
   function(x) subset(x$data[c("name", "time", "value")]))
 names(ds_uba) <- paste("Dataset", 6:10)
@@ -197,3 +226,7 @@ f_uba_mmkin <- mmkin(list("SFO-SFO" = sfo_sfo_uba, "DFOP-SFO" = dfop_sfo_uba),
   ds_uba, quiet = TRUE, cores = n_cores)
 f_uba_dfop_sfo_mixed <- mixed(f_uba_mmkin[2, ])
 
+if (saemix_available) {
+  f_uba_sfo_sfo_saem <- saem(f_uba_mmkin["SFO-SFO", ], quiet = TRUE, transformations = "saemix")
+  f_uba_dfop_sfo_saem <- saem(f_uba_mmkin["DFOP-SFO", ], quiet = TRUE, transformations = "saemix")
+}
diff --git a/tests/testthat/summary_nlme_biphasic_s.txt b/tests/testthat/summary_nlme_biphasic_s.txt
index 65aead62..86049775 100644
--- a/tests/testthat/summary_nlme_biphasic_s.txt
+++ b/tests/testthat/summary_nlme_biphasic_s.txt
@@ -13,19 +13,19 @@ d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
            exp(-k2 * time))) * parent - k_m1 * m1
 
 Data:
-509 observations of 2 variable(s) grouped in 15 datasets
+507 observations of 2 variable(s) grouped in 15 datasets
 
 Model predictions using solution type analytical 
 
-Fitted in test time 0 s using 3 iterations
+Fitted in test time 0 s using 4 iterations
 
 Variance model: Constant variance 
 
 Mean of starting values for individual parameters:
        parent_0        log_k_m1 f_parent_qlogis          log_k1          log_k2 
-         100.70           -5.35           -0.08           -2.68           -4.37 
+         100.67           -5.38           -0.09           -2.74           -4.51 
        g_qlogis 
-          -0.33 
+          -0.18 
 
 Fixed degradation parameter values:
      value  type
@@ -34,40 +34,40 @@ m1_0     0 state
 Results:
 
    AIC  BIC logLik
-  2683 2738  -1329
+  2678 2733  -1326
 
 Optimised, transformed parameters with symmetric confidence intervals:
-                lower   est.  upper
-parent_0         99.6 100.43 101.26
-log_k_m1         -5.5  -5.34  -5.18
-f_parent_qlogis  -0.3  -0.08   0.09
-log_k1           -3.2  -2.90  -2.60
-log_k2           -4.6  -4.34  -4.07
-g_qlogis         -0.5  -0.19   0.08
+                lower  est.  upper
+parent_0         99.8 100.7 101.62
+log_k_m1         -5.6  -5.4  -5.25
+f_parent_qlogis  -0.3  -0.1   0.06
+log_k1           -3.0  -2.8  -2.57
+log_k2           -4.7  -4.5  -4.35
+g_qlogis         -0.4  -0.1   0.17
 
 Correlation: 
                 prnt_0 lg_k_1 f_prn_ log_k1 log_k2
-log_k_m1        -0.177                            
-f_parent_qlogis -0.164  0.385                     
-log_k1           0.108 -0.017 -0.025              
-log_k2           0.036  0.054  0.008  0.096       
-g_qlogis        -0.068 -0.110 -0.030 -0.269 -0.267
+log_k_m1        -0.167                            
+f_parent_qlogis -0.145  0.380                     
+log_k1           0.170  0.005 -0.026              
+log_k2           0.083  0.168  0.032  0.365       
+g_qlogis        -0.088 -0.170 -0.044 -0.472 -0.631
 
 Random effects:
  Formula: list(parent_0 ~ 1, log_k_m1 ~ 1, f_parent_qlogis ~ 1, log_k1 ~ 1,      log_k2 ~ 1, g_qlogis ~ 1)
  Level: ds
  Structure: Diagonal
         parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2 g_qlogis Residual
-StdDev:        1      0.1             0.3    0.6    0.5      0.3        3
+StdDev:        1     0.03             0.3    0.3    0.2      0.3        3
 
 
 Backtransformed parameters with asymmetric confidence intervals:
                lower  est. upper
 parent_0       1e+02 1e+02 1e+02
-k_m1           4e-03 5e-03 6e-03
+k_m1           4e-03 4e-03 5e-03
 f_parent_to_m1 4e-01 5e-01 5e-01
-k1             4e-02 6e-02 7e-02
-k2             1e-02 1e-02 2e-02
+k1             5e-02 6e-02 8e-02
+k2             9e-03 1e-02 1e-02
 g              4e-01 5e-01 5e-01
 
 Resulting formation fractions:
@@ -77,5 +77,5 @@ parent_sink 0.5
 
 Estimated disappearance times:
        DT50 DT90 DT50back DT50_k1 DT50_k2
-parent   26  131       39      13      53
-m1      144  479       NA      NA      NA
+parent   25  150       45      11      63
+m1      154  512       NA      NA      NA
diff --git a/tests/testthat/summary_saem_biphasic_s.txt b/tests/testthat/summary_saem_biphasic_s.txt
new file mode 100644
index 00000000..bab4bf98
--- /dev/null
+++ b/tests/testthat/summary_saem_biphasic_s.txt
@@ -0,0 +1,77 @@
+saemix version used for fitting:      Dummy 0.0 for testing 
+mkin version used for pre-fitting:  Dummy 0.0 for testing 
+R version used for fitting:         Dummy R version for testing 
+Date of fit:     Dummy date for testing 
+Date of summary: Dummy date for testing 
+
+Equations:
+d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
+           time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
+           * parent
+d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
+           * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
+           exp(-k2 * time))) * parent - k_m1 * m1
+
+Data:
+507 observations of 2 variable(s) grouped in 15 datasets
+
+Model predictions using solution type analytical 
+
+Fitted in test time 0 s using 300, 100 iterations
+
+Variance model: Constant variance 
+
+Mean of starting values for individual parameters:
+      parent_0           k_m1 f_parent_to_m1             k1             k2 
+       1.0e+02        4.6e-03        4.8e-01        6.4e-02        1.1e-02 
+             g 
+       4.6e-01 
+
+Fixed degradation parameter values:
+None
+
+Results:
+
+Likelihood computed by importance sampling
+   AIC  BIC logLik
+  2679 2689  -1327
+
+Optimised parameters:
+                  est.   lower   upper
+parent_0       1.0e+02 1.0e+02 1.0e+02
+k_m1           4.8e-03 4.1e-03 5.5e-03
+f_parent_to_m1 4.8e-01 4.3e-01 5.2e-01
+k1             5.9e-02 4.6e-02 7.2e-02
+k2             1.1e-02 9.0e-03 1.3e-02
+g              4.9e-01 4.3e-01 5.4e-01
+
+Correlation: 
+               prnt_0 k_m1   f_p__1 k1     k2    
+k_m1           -0.168                            
+f_parent_to_m1 -0.141  0.379                     
+k1              0.139 -0.004 -0.024              
+k2              0.055  0.154  0.033  0.246       
+g              -0.078 -0.206 -0.058 -0.435 -0.601
+
+Random effects:
+                    est. lower upper
+SD.parent_0       1.1986  0.28  2.12
+SD.k_m1           0.0034 -6.85  6.86
+SD.f_parent_to_m1 0.3369  0.21  0.46
+SD.k1             0.3790  0.24  0.52
+SD.k2             0.2666  0.16  0.37
+SD.g              0.0401 -0.67  0.75
+
+Variance model:
+    est. lower upper
+a.1  2.9   2.7     3
+
+Resulting formation fractions:
+              ff
+parent_m1   0.48
+parent_sink 0.52
+
+Estimated disappearance times:
+       DT50 DT90 DT50back DT50_k1 DT50_k2
+parent   25  150       45      12      64
+m1      145  483       NA      NA      NA
diff --git a/tests/testthat/test_mixed.R b/tests/testthat/test_mixed.R
index 6f28d0c3..9c8a84d7 100644
--- a/tests/testthat/test_mixed.R
+++ b/tests/testthat/test_mixed.R
@@ -1,9 +1,104 @@
 context("Nonlinear mixed-effects models")
 
+test_that("Parent fits using saemix are correctly implemented", {
+  skip_if(!saemix_available)
+
+  expect_error(saem(fits), "Only row objects")
+  # Some fits were done in the setup script
+  mmkin_sfo_2 <- update(mmkin_sfo_1, fixed_initials = c(parent = 100))
+  expect_error(update(mmkin_sfo_1, models = c("SFOOO")), "Please supply models.*")
+
+  sfo_saem_2 <- saem(mmkin_sfo_1, quiet = TRUE, transformations = "mkin")
+  sfo_saem_3 <- expect_error(saem(mmkin_sfo_2, quiet = TRUE), "at least two parameters")
+  s_sfo_s1 <- summary(sfo_saem_1)
+  s_sfo_s2 <- summary(sfo_saem_2)
+
+  sfo_nlme_1 <- expect_warning(nlme(mmkin_sfo_1), "not converge")
+  s_sfo_n <- summary(sfo_nlme_1)
+
+  # Compare with input
+  expect_equal(round(s_sfo_s2$confint_ranef["SD.log_k_parent", "est."], 1), 0.3)
+  # k_parent is a bit different from input 0.03 here
+  expect_equal(round(s_sfo_s1$confint_back["k_parent", "est."], 3), 0.035)
+  expect_equal(round(s_sfo_s2$confint_back["k_parent", "est."], 3), 0.035)
+
+  # But the result is pretty unanimous between methods
+  expect_equal(round(s_sfo_s1$confint_back["k_parent", "est."], 3),
+    round(s_sfo_s2$confint_back["k_parent", "est."], 3))
+  expect_equal(round(s_sfo_s1$confint_back["k_parent", "est."], 3),
+    round(s_sfo_n$confint_back["k_parent", "est."], 3))
+
+  mmkin_fomc_1 <- mmkin("FOMC", ds_fomc, quiet = TRUE, error_model = "tc", cores = n_cores)
+  fomc_saem_1 <- saem(mmkin_fomc_1, quiet = TRUE)
+  ci_fomc_s1 <- summary(fomc_saem_1)$confint_back
+
+  fomc_pop <- as.numeric(fomc_pop)
+  expect_true(all(ci_fomc_s1[, "lower"] < fomc_pop))
+  expect_true(all(ci_fomc_s1[, "upper"] > fomc_pop))
+
+  mmkin_fomc_2 <- update(mmkin_fomc_1, state.ini = 100, fixed_initials = "parent")
+  fomc_saem_2 <- saem(mmkin_fomc_2, quiet = TRUE, transformations = "mkin")
+  ci_fomc_s2 <- summary(fomc_saem_2)$confint_back
+
+  expect_true(all(ci_fomc_s2[, "lower"] < fomc_pop[2:3]))
+  expect_true(all(ci_fomc_s2[, "upper"] > fomc_pop[2:3]))
+
+  s_dfop_s1 <- summary(dfop_saemix_1)
+  s_dfop_s2 <- summary(dfop_saemix_2)
+  s_dfop_n <- summary(dfop_nlme_1)
+
+  dfop_pop <- as.numeric(dfop_pop)
+  expect_true(all(s_dfop_s1$confint_back[, "lower"] < dfop_pop))
+  expect_true(all(s_dfop_s1$confint_back[, "upper"] > dfop_pop))
+  expect_true(all(s_dfop_s2$confint_back[, "lower"] < dfop_pop))
+  expect_true(all(s_dfop_s2$confint_back[, "upper"] > dfop_pop))
+
+  dfop_mmkin_means_trans_tested <- mean_degparms(mmkin_dfop_1, test_log_parms = TRUE)
+  dfop_mmkin_means_trans <- apply(parms(mmkin_dfop_1, transformed = TRUE), 1, mean)
+
+  dfop_mmkin_means_tested <- backtransform_odeparms(dfop_mmkin_means_trans_tested, mmkin_dfop_1$mkinmod)
+  dfop_mmkin_means <- backtransform_odeparms(dfop_mmkin_means_trans, mmkin_dfop_1$mkinmod)
+
+  # We get < 20% deviations for parent_0 and k1 by averaging the transformed parameters
+  # If we average only parameters passing the t-test, the deviation for k2 is also < 20%
+  rel_diff_mmkin <- (dfop_mmkin_means - dfop_pop) / dfop_pop
+  rel_diff_mmkin_tested <- (dfop_mmkin_means_tested - dfop_pop) / dfop_pop
+  expect_true(all(rel_diff_mmkin[c("parent_0", "k1")] < 0.20))
+  expect_true(all(rel_diff_mmkin_tested[c("parent_0", "k1", "k2")] < 0.20))
+
+  # We get < 30% deviations with transformations made in mkin
+  rel_diff_1 <- (s_dfop_s1$confint_back[, "est."] - dfop_pop) / dfop_pop
+  expect_true(all(rel_diff_1 < 0.5))
+
+  # We get < 20% deviations with transformations made in saemix
+  rel_diff_2 <- (s_dfop_s2$confint_back[, "est."] - dfop_pop) / dfop_pop
+  expect_true(all(rel_diff_2 < 0.2))
+
+  mmkin_hs_1 <- mmkin("HS", ds_hs, quiet = TRUE, error_model = "const", cores = n_cores)
+  hs_saem_1 <- saem(mmkin_hs_1, quiet = TRUE)
+  ci_hs_s1 <- summary(hs_saem_1)$confint_back
+
+  hs_pop <- as.numeric(hs_pop)
+  # expect_true(all(ci_hs_s1[, "lower"] < hs_pop)) # k1 is overestimated
+  expect_true(all(ci_hs_s1[, "upper"] > hs_pop))
+
+  mmkin_hs_2 <- update(mmkin_hs_1, state.ini = 100, fixed_initials = "parent")
+  hs_saem_2 <- saem(mmkin_hs_2, quiet = TRUE)
+  ci_hs_s2 <- summary(hs_saem_2)$confint_back
+
+  #expect_true(all(ci_hs_s2[, "lower"] < hs_pop[2:4])) # k1 again overestimated
+  expect_true(all(ci_hs_s2[, "upper"] > hs_pop[2:4]))
+
+  # HS would likely benefit from implemenation of transformations = "saemix"
+})
+
 test_that("Print methods work", {
   expect_known_output(print(fits[, 2:3], digits = 2), "print_mmkin_parent.txt")
   expect_known_output(print(mmkin_biphasic_mixed, digits = 2), "print_mmkin_biphasic_mixed.txt")
   expect_known_output(print(nlme_biphasic, digits = 1), "print_nlme_biphasic.txt")
+
+  skip_if(!saemix_available)
+  expect_known_output(print(sfo_saem_1, digits = 1), "print_sfo_saem_1.txt")
 })
 
 test_that("nlme results are reproducible to some degree", {
@@ -18,8 +113,56 @@ test_that("nlme results are reproducible to some degree", {
 
   expect_known_output(print(test_summary, digits = 1), "summary_nlme_biphasic_s.txt")
 
+  # k1 just fails the first test (lower bound of the ci), so we need to exclude it
+  dfop_no_k1 <- c("parent_0", "k_m1", "f_parent_to_m1", "k2", "g")
+  dfop_sfo_pop_no_k1 <- as.numeric(dfop_sfo_pop[dfop_no_k1])
   dfop_sfo_pop <- as.numeric(dfop_sfo_pop)
+
   ci_dfop_sfo_n <- summary(nlme_biphasic)$confint_back
-  # expect_true(all(ci_dfop_sfo_n[, "lower"] < dfop_sfo_pop)) # k2 is overestimated
+
+  expect_true(all(ci_dfop_sfo_n[dfop_no_k1, "lower"] < dfop_sfo_pop_no_k1))
   expect_true(all(ci_dfop_sfo_n[, "upper"] > dfop_sfo_pop))
 })
+
+test_that("saem results are reproducible for biphasic fits", {
+
+  skip_if(!saemix_available)
+  test_summary <- summary(saem_biphasic_s)
+  test_summary$saemixversion <- "Dummy 0.0 for testing"
+  test_summary$mkinversion <- "Dummy 0.0 for testing"
+  test_summary$Rversion <- "Dummy R version for testing"
+  test_summary$date.fit <- "Dummy date for testing"
+  test_summary$date.summary <- "Dummy date for testing"
+  test_summary$time <- c(elapsed = "test time 0")
+
+  expect_known_output(print(test_summary, digits = 2), "summary_saem_biphasic_s.txt")
+
+  dfop_sfo_pop <- as.numeric(dfop_sfo_pop)
+  no_k1 <- c(1, 2, 3, 5, 6)
+  no_k2 <- c(1, 2, 3, 4, 6)
+  no_k1_k2 <- c(1, 2, 3, 6)
+
+  ci_dfop_sfo_s_s <- summary(saem_biphasic_s)$confint_back
+  # k1 and k2 are overestimated
+  expect_true(all(ci_dfop_sfo_s_s[no_k1_k2, "lower"] < dfop_sfo_pop[no_k1_k2]))
+  expect_true(all(ci_dfop_sfo_s_s[, "upper"] > dfop_sfo_pop))
+
+  # k1 and k2 are not fitted well
+  ci_dfop_sfo_s_m <- summary(saem_biphasic_m)$confint_back
+  expect_true(all(ci_dfop_sfo_s_m[no_k2, "lower"] < dfop_sfo_pop[no_k2]))
+  expect_true(all(ci_dfop_sfo_s_m[no_k1, "upper"] > dfop_sfo_pop[no_k1]))
+
+  # I tried to only do few iterations in routine tests as this is so slow
+  # but then deSolve fails at some point (presumably at the switch between
+  # the two types of iterations)
+  #saem_biphasic_2 <- saem(mmkin_biphasic, solution_type = "deSolve",
+  # control = list(nbiter.saemix = c(10, 5), nbiter.burn = 5), quiet = TRUE)
+
+  skip("Fitting with saemix takes around 10 minutes when using deSolve")
+  saem_biphasic_2 <- saem(mmkin_biphasic, solution_type = "deSolve", quiet = TRUE)
+
+  # As with the analytical solution, k1 and k2 are not fitted well
+  ci_dfop_sfo_s_d <- summary(saem_biphasic_2)$confint_back
+  expect_true(all(ci_dfop_sfo_s_d[no_k2, "lower"] < dfop_sfo_pop[no_k2]))
+  expect_true(all(ci_dfop_sfo_s_d[no_k1, "upper"] > dfop_sfo_pop[no_k1]))
+})
diff --git a/tests/testthat/test_nlme.R b/tests/testthat/test_nlme.R
index 989914da..a3bc9413 100644
--- a/tests/testthat/test_nlme.R
+++ b/tests/testthat/test_nlme.R
@@ -1,4 +1,4 @@
-context("Nonlinear mixed-effects models")
+context("Nonlinear mixed-effects models with nlme")
 
 library(nlme)
 
diff --git a/tests/testthat/test_nlmixr.r b/tests/testthat/test_nlmixr.r
new file mode 100644
index 00000000..dcbb50ac
--- /dev/null
+++ b/tests/testthat/test_nlmixr.r
@@ -0,0 +1,99 @@
+
+
+# dmta_ds <- lapply(1:8, function(i) {
+#   ds_i <- dimethenamid_2018$ds[[i]]$data
+#   ds_i[ds_i$name == "DMTAP", "name"] <-  "DMTA"
+#   ds_i$time <- ds_i$time * dimethenamid_2018$f_time_norm[i]
+#   ds_i
+# })
+# names(dmta_ds) <- sapply(dimethenamid_2018$ds, function(ds) ds$title)
+# dmta_ds[["Borstel"]] <- rbind(dmta_ds[["Borstel 1"]], dmta_ds[["Borstel 2"]])
+# dmta_ds[["Borstel 1"]] <- NULL
+# dmta_ds[["Borstel 2"]] <- NULL
+# dmta_ds[["Elliot"]] <- rbind(dmta_ds[["Elliot 1"]], dmta_ds[["Elliot 2"]])
+# dmta_ds[["Elliot 1"]] <- NULL
+# dmta_ds[["Elliot 2"]] <- NULL
+# dfop_sfo3_plus <- mkinmod(
+#   DMTA = mkinsub("DFOP", c("M23", "M27", "M31")),
+#   M23 = mkinsub("SFO"),
+#   M27 = mkinsub("SFO"),
+#   M31 = mkinsub("SFO", "M27", sink = FALSE),
+#   quiet = TRUE
+# )
+# f_dmta_mkin_tc <- mmkin(
+#   list("DFOP-SFO3+" = dfop_sfo3_plus),
+#   dmta_ds, quiet = TRUE, error_model = "tc")
+# 
+# d_dmta_nlmixr <- nlmixr_data(f_dmta_mkin_tc)
+# m_dmta_nlmixr <- function ()
+# {
+#     ini({
+#         DMTA_0 = 98.7697627680706
+#         eta.DMTA_0 ~ 2.35171765917765
+#         log_k_M23 = -3.92162409637283
+#         eta.log_k_M23 ~ 0.549278519419884
+#         log_k_M27 = -4.33774620773911
+#         eta.log_k_M27 ~ 0.864474956685295
+#         log_k_M31 = -4.24767627688461
+#         eta.log_k_M31 ~ 0.750297149164171
+#         f_DMTA_tffm0_1_qlogis = -2.092409
+#         eta.f_DMTA_tffm0_1_qlogis ~ 0.3
+#         f_DMTA_tffm0_2_qlogis = -2.180576
+#         eta.f_DMTA_tffm0_2_qlogis ~ 0.3
+#         f_DMTA_tffm0_3_qlogis = -2.142672
+#         eta.f_DMTA_tffm0_3_qlogis ~ 0.3
+#         log_k1 = -2.2341008812259
+#         eta.log_k1 ~ 0.902976221565793
+#         log_k2 = -3.7762779983269
+#         eta.log_k2 ~ 1.57684519529298
+#         g_qlogis = 0.450175725479389
+#         eta.g_qlogis ~ 3.0851335687675
+#         sigma_low_DMTA = 0.697933852349996
+#         rsd_high_DMTA = 0.0257724286053519
+#         sigma_low_M23 = 0.697933852349996
+#         rsd_high_M23 = 0.0257724286053519
+#         sigma_low_M27 = 0.697933852349996
+#         rsd_high_M27 = 0.0257724286053519
+#         sigma_low_M31 = 0.697933852349996
+#         rsd_high_M31 = 0.0257724286053519
+#     })
+#     model({
+#         DMTA_0_model = DMTA_0 + eta.DMTA_0
+#         DMTA(0) = DMTA_0_model
+#         k_M23 = exp(log_k_M23 + eta.log_k_M23)
+#         k_M27 = exp(log_k_M27 + eta.log_k_M27)
+#         k_M31 = exp(log_k_M31 + eta.log_k_M31)
+#         k1 = exp(log_k1 + eta.log_k1)
+#         k2 = exp(log_k2 + eta.log_k2)
+#         g = expit(g_qlogis + eta.g_qlogis)
+#         f_DMTA_tffm0_1 = expit(f_DMTA_tffm0_1_qlogis + eta.f_DMTA_tffm0_1_qlogis)
+#         f_DMTA_tffm0_2 = expit(f_DMTA_tffm0_2_qlogis + eta.f_DMTA_tffm0_2_qlogis)
+#         f_DMTA_tffm0_3 = expit(f_DMTA_tffm0_3_qlogis + eta.f_DMTA_tffm0_3_qlogis)
+#         f_DMTA_to_M23 = f_DMTA_tffm0_1
+#         f_DMTA_to_M27 = (1 - f_DMTA_tffm0_1) * f_DMTA_tffm0_2
+#         f_DMTA_to_M31 = (1 - f_DMTA_tffm0_1) * (1 - f_DMTA_tffm0_2) * f_DMTA_tffm0_3
+#         d/dt(DMTA) = -((k1 * g * exp(-k1 * time) + k2 * (1 -
+#             g) * exp(-k2 * time))/(g * exp(-k1 * time) + (1 -
+#             g) * exp(-k2 * time))) * DMTA
+#         d/dt(M23) = +f_DMTA_to_M23 * ((k1 * g * exp(-k1 * time) +
+#             k2 * (1 - g) * exp(-k2 * time))/(g * exp(-k1 * time) +
+#             (1 - g) * exp(-k2 * time))) * DMTA - k_M23 * M23
+#         d/dt(M27) = +f_DMTA_to_M27 * ((k1 * g * exp(-k1 * time) +
+#             k2 * (1 - g) * exp(-k2 * time))/(g * exp(-k1 * time) +
+#             (1 - g) * exp(-k2 * time))) * DMTA - k_M27 * M27 +
+#             k_M31 * M31
+#         d/dt(M31) = +f_DMTA_to_M31 * ((k1 * g * exp(-k1 * time) +
+#             k2 * (1 - g) * exp(-k2 * time))/(g * exp(-k1 * time) +
+#             (1 - g) * exp(-k2 * time))) * DMTA - k_M31 * M31
+#         DMTA ~ add(sigma_low_DMTA) + prop(rsd_high_DMTA)
+#         M23 ~ add(sigma_low_M23) + prop(rsd_high_M23)
+#         M27 ~ add(sigma_low_M27) + prop(rsd_high_M27)
+#         M31 ~ add(sigma_low_M31) + prop(rsd_high_M31)
+#     })
+# }
+# m_dmta_nlmixr_mkin <- nlmixr_model(f_dmta_mkin_tc, test_log_parms = TRUE)
+# f_dmta_nlmixr_saem <- nlmixr(f_dmta_mkin_tc, est = "saem", control = saemControl(print = 250))
+# f_dmta_nlmixr_focei <- nlmixr(f_dmta_mkin_tc, est = "focei", control = foceiControl(print = 250))
+# plot(f_dmta_nlmixr_saem)
+# plot(f_dmta_nlmixr_focei)
+# 
diff --git a/tests/testthat/test_plot.R b/tests/testthat/test_plot.R
index 28c537bb..e08fe277 100644
--- a/tests/testthat/test_plot.R
+++ b/tests/testthat/test_plot.R
@@ -33,6 +33,11 @@ test_that("Plotting mkinfit, mmkin and mixed model objects is reproducible", {
   plot_biphasic_mmkin <- function() plot(f_uba_dfop_sfo_mixed)
   vdiffr::expect_doppelganger("mixed model fit for mmkin object", plot_biphasic_mmkin)
 
+  if (saemix_available) {
+    plot_biphasic_saem_s <- function() plot(f_uba_dfop_sfo_saem)
+    vdiffr::expect_doppelganger("mixed model fit for saem object with saemix transformations", plot_biphasic_saem_s)
+  }
+
   skip_on_travis()
 
   plot_biphasic_nlme <- function() plot(dfop_nlme_1)
@@ -41,6 +46,12 @@ test_that("Plotting mkinfit, mmkin and mixed model objects is reproducible", {
   #plot_biphasic_mmkin <- function() plot(mixed(mmkin_biphasic))
   # Biphasic fits with lots of data and fits have lots of potential for differences
   plot_biphasic_nlme <- function() plot(nlme_biphasic)
+  if (saemix_available) {
+    #plot_biphasic_saem_s <- function() plot(saem_biphasic_s)
+    plot_biphasic_saem_m <- function() plot(saem_biphasic_m)
+
+    vdiffr::expect_doppelganger("mixed model fit for saem object with mkin transformations", plot_biphasic_saem_m)
+  }
 
   # different results when working with eigenvalues
   plot_errmod_fit_D_obs_eigen <- function() plot_err(fit_D_obs_eigen, sep_obs = FALSE)
diff --git a/vignettes/FOCUS_D.html b/vignettes/FOCUS_D.html
index c2599ee5..d9127473 100644
--- a/vignettes/FOCUS_D.html
+++ b/vignettes/FOCUS_D.html
@@ -27,11 +27,8 @@ document.addEventListener('DOMContentLoaded', function(e) {
   }
 });
 </script>
-<script>/*! jQuery v1.11.3 | (c) 2005, 2015 jQuery Foundation, Inc. | jquery.org/license */
-!function(a,b){"object"==typeof module&&"object"==typeof module.exports?module.exports=a.document?b(a,!0):function(a){if(!a.document)throw new Error("jQuery requires a window with a document");return b(a)}:b(a)}("undefined"!=typeof window?window:this,function(a,b){var c=[],d=c.slice,e=c.concat,f=c.push,g=c.indexOf,h={},i=h.toString,j=h.hasOwnProperty,k={},l="1.11.3",m=function(a,b){return new m.fn.init(a,b)},n=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g,o=/^-ms-/,p=/-([\da-z])/gi,q=function(a,b){return b.toUpperCase()};m.fn=m.prototype={jquery:l,constructor:m,selector:"",length:0,toArray:function(){return d.call(this)},get:function(a){return null!=a?0>a?this[a+this.length]:this[a]:d.call(this)},pushStack:function(a){var b=m.merge(this.constructor(),a);return b.prevObject=this,b.context=this.context,b},each:function(a,b){return m.each(this,a,b)},map:function(a){return this.pushStack(m.map(this,function(b,c){return a.call(b,c,b)}))},slice:function(){return this.pushStack(d.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},eq:function(a){var b=this.length,c=+a+(0>a?b:0);return this.pushStack(c>=0&&b>c?[this[c]]:[])},end:function(){return this.prevObject||this.constructor(null)},push:f,sort:c.sort,splice:c.splice},m.extend=m.fn.extend=function(){var a,b,c,d,e,f,g=arguments[0]||{},h=1,i=arguments.length,j=!1;for("boolean"==typeof g&&(j=g,g=arguments[h]||{},h++),"object"==typeof g||m.isFunction(g)||(g={}),h===i&&(g=this,h--);i>h;h++)if(null!=(e=arguments[h]))for(d in e)a=g[d],c=e[d],g!==c&&(j&&c&&(m.isPlainObject(c)||(b=m.isArray(c)))?(b?(b=!1,f=a&&m.isArray(a)?a:[]):f=a&&m.isPlainObject(a)?a:{},g[d]=m.extend(j,f,c)):void 0!==c&&(g[d]=c));return g},m.extend({expando:"jQuery"+(l+Math.random()).replace(/\D/g,""),isReady:!0,error:function(a){throw new Error(a)},noop:function(){},isFunction:function(a){return"function"===m.type(a)},isArray:Array.isArray||function(a){return"array"===m.type(a)},isWindow:function(a){return null!=a&&a==a.window},isNumeric:function(a){return!m.isArray(a)&&a-parseFloat(a)+1>=0},isEmptyObject:function(a){var b;for(b in a)return!1;return!0},isPlainObject:function(a){var b;if(!a||"object"!==m.type(a)||a.nodeType||m.isWindow(a))return!1;try{if(a.constructor&&!j.call(a,"constructor")&&!j.call(a.constructor.prototype,"isPrototypeOf"))return!1}catch(c){return!1}if(k.ownLast)for(b in a)return j.call(a,b);for(b in a);return void 0===b||j.call(a,b)},type:function(a){return null==a?a+"":"object"==typeof a||"function"==typeof a?h[i.call(a)]||"object":typeof a},globalEval:function(b){b&&m.trim(b)&&(a.execScript||function(b){a.eval.call(a,b)})(b)},camelCase:function(a){return a.replace(o,"ms-").replace(p,q)},nodeName:function(a,b){return a.nodeName&&a.nodeName.toLowerCase()===b.toLowerCase()},each:function(a,b,c){var d,e=0,f=a.length,g=r(a);if(c){if(g){for(;f>e;e++)if(d=b.apply(a[e],c),d===!1)break}else for(e in a)if(d=b.apply(a[e],c),d===!1)break}else if(g){for(;f>e;e++)if(d=b.call(a[e],e,a[e]),d===!1)break}else for(e in a)if(d=b.call(a[e],e,a[e]),d===!1)break;return a},trim:function(a){return null==a?"":(a+"").replace(n,"")},makeArray:function(a,b){var c=b||[];return null!=a&&(r(Object(a))?m.merge(c,"string"==typeof a?[a]:a):f.call(c,a)),c},inArray:function(a,b,c){var d;if(b){if(g)return g.call(b,a,c);for(d=b.length,c=c?0>c?Math.max(0,d+c):c:0;d>c;c++)if(c in b&&b[c]===a)return c}return-1},merge:function(a,b){var c=+b.length,d=0,e=a.length;while(c>d)a[e++]=b[d++];if(c!==c)while(void 0!==b[d])a[e++]=b[d++];return a.length=e,a},grep:function(a,b,c){for(var d,e=[],f=0,g=a.length,h=!c;g>f;f++)d=!b(a[f],f),d!==h&&e.push(a[f]);return e},map:function(a,b,c){var d,f=0,g=a.length,h=r(a),i=[];if(h)for(;g>f;f++)d=b(a[f],f,c),null!=d&&i.push(d);else for(f in a)d=b(a[f],f,c),null!=d&&i.push(d);return e.apply([],i)},guid:1,proxy:function(a,b){var c,e,f;return"string"==typeof b&&(f=a[b],b=a,a=f),m.isFunction(a)?(c=d.call(arguments,2),e=function(){return a.apply(b||this,c.concat(d.call(arguments)))},e.guid=a.guid=a.guid||m.guid++,e):void 0},now:function(){return+new Date},support:k}),m.each("Boolean Number String Function Array Date RegExp Object Error".split(" "),function(a,b){h["[object "+b+"]"]=b.toLowerCase()});function r(a){var b="length"in a&&a.length,c=m.type(a);return"function"===c||m.isWindow(a)?!1:1===a.nodeType&&b?!0:"array"===c||0===b||"number"==typeof b&&b>0&&b-1 in a}var s=function(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u="sizzle"+1*new Date,v=a.document,w=0,x=0,y=ha(),z=ha(),A=ha(),B=function(a,b){return a===b&&(l=!0),0},C=1<<31,D={}.hasOwnProperty,E=[],F=E.pop,G=E.push,H=E.push,I=E.slice,J=function(a,b){for(var c=0,d=a.length;d>c;c++)if(a[c]===b)return c;return-1},K="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",L="[\\x20\\t\\r\\n\\f]",M="(?:\\\\.|[\\w-]|[^\\x00-\\xa0])+",N=M.replace("w","w#"),O="\\["+L+"*("+M+")(?:"+L+"*([*^$|!~]?=)"+L+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+N+"))|)"+L+"*\\]",P=":("+M+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+O+")*)|.*)\\)|)",Q=new RegExp(L+"+","g"),R=new RegExp("^"+L+"+|((?:^|[^\\\\])(?:\\\\.)*)"+L+"+$","g"),S=new RegExp("^"+L+"*,"+L+"*"),T=new RegExp("^"+L+"*([>+~]|"+L+")"+L+"*"),U=new RegExp("="+L+"*([^\\]'\"]*?)"+L+"*\\]","g"),V=new RegExp(P),W=new RegExp("^"+N+"$"),X={ID:new RegExp("^#("+M+")"),CLASS:new RegExp("^\\.("+M+")"),TAG:new RegExp("^("+M.replace("w","w*")+")"),ATTR:new RegExp("^"+O),PSEUDO:new RegExp("^"+P),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+L+"*(even|odd|(([+-]|)(\\d*)n|)"+L+"*(?:([+-]|)"+L+"*(\\d+)|))"+L+"*\\)|)","i"),bool:new RegExp("^(?:"+K+")$","i"),needsContext:new RegExp("^"+L+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+L+"*((?:-\\d)?\\d*)"+L+"*\\)|)(?=[^-]|$)","i")},Y=/^(?:input|select|textarea|button)$/i,Z=/^h\d$/i,$=/^[^{]+\{\s*\[native \w/,_=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,aa=/[+~]/,ba=/'|\\/g,ca=new RegExp("\\\\([\\da-f]{1,6}"+L+"?|("+L+")|.)","ig"),da=function(a,b,c){var d="0x"+b-65536;return d!==d||c?b:0>d?String.fromCharCode(d+65536):String.fromCharCode(d>>10|55296,1023&d|56320)},ea=function(){m()};try{H.apply(E=I.call(v.childNodes),v.childNodes),E[v.childNodes.length].nodeType}catch(fa){H={apply:E.length?function(a,b){G.apply(a,I.call(b))}:function(a,b){var c=a.length,d=0;while(a[c++]=b[d++]);a.length=c-1}}}function ga(a,b,d,e){var f,h,j,k,l,o,r,s,w,x;if((b?b.ownerDocument||b:v)!==n&&m(b),b=b||n,d=d||[],k=b.nodeType,"string"!=typeof a||!a||1!==k&&9!==k&&11!==k)return d;if(!e&&p){if(11!==k&&(f=_.exec(a)))if(j=f[1]){if(9===k){if(h=b.getElementById(j),!h||!h.parentNode)return d;if(h.id===j)return d.push(h),d}else if(b.ownerDocument&&(h=b.ownerDocument.getElementById(j))&&t(b,h)&&h.id===j)return d.push(h),d}else{if(f[2])return H.apply(d,b.getElementsByTagName(a)),d;if((j=f[3])&&c.getElementsByClassName)return H.apply(d,b.getElementsByClassName(j)),d}if(c.qsa&&(!q||!q.test(a))){if(s=r=u,w=b,x=1!==k&&a,1===k&&"object"!==b.nodeName.toLowerCase()){o=g(a),(r=b.getAttribute("id"))?s=r.replace(ba,"\\$&"):b.setAttribute("id",s),s="[id='"+s+"'] ",l=o.length;while(l--)o[l]=s+ra(o[l]);w=aa.test(a)&&pa(b.parentNode)||b,x=o.join(",")}if(x)try{return H.apply(d,w.querySelectorAll(x)),d}catch(y){}finally{r||b.removeAttribute("id")}}}return i(a.replace(R,"$1"),b,d,e)}function ha(){var a=[];function b(c,e){return a.push(c+" ")>d.cacheLength&&delete b[a.shift()],b[c+" "]=e}return b}function ia(a){return a[u]=!0,a}function ja(a){var b=n.createElement("div");try{return!!a(b)}catch(c){return!1}finally{b.parentNode&&b.parentNode.removeChild(b),b=null}}function ka(a,b){var c=a.split("|"),e=a.length;while(e--)d.attrHandle[c[e]]=b}function la(a,b){var c=b&&a,d=c&&1===a.nodeType&&1===b.nodeType&&(~b.sourceIndex||C)-(~a.sourceIndex||C);if(d)return d;if(c)while(c=c.nextSibling)if(c===b)return-1;return a?1:-1}function ma(a){return function(b){var c=b.nodeName.toLowerCase();return"input"===c&&b.type===a}}function na(a){return function(b){var c=b.nodeName.toLowerCase();return("input"===c||"button"===c)&&b.type===a}}function oa(a){return ia(function(b){return b=+b,ia(function(c,d){var e,f=a([],c.length,b),g=f.length;while(g--)c[e=f[g]]&&(c[e]=!(d[e]=c[e]))})})}function pa(a){return a&&"undefined"!=typeof a.getElementsByTagName&&a}c=ga.support={},f=ga.isXML=function(a){var b=a&&(a.ownerDocument||a).documentElement;return b?"HTML"!==b.nodeName:!1},m=ga.setDocument=function(a){var b,e,g=a?a.ownerDocument||a:v;return g!==n&&9===g.nodeType&&g.documentElement?(n=g,o=g.documentElement,e=g.defaultView,e&&e!==e.top&&(e.addEventListener?e.addEventListener("unload",ea,!1):e.attachEvent&&e.attachEvent("onunload",ea)),p=!f(g),c.attributes=ja(function(a){return a.className="i",!a.getAttribute("className")}),c.getElementsByTagName=ja(function(a){return a.appendChild(g.createComment("")),!a.getElementsByTagName("*").length}),c.getElementsByClassName=$.test(g.getElementsByClassName),c.getById=ja(function(a){return o.appendChild(a).id=u,!g.getElementsByName||!g.getElementsByName(u).length}),c.getById?(d.find.ID=function(a,b){if("undefined"!=typeof b.getElementById&&p){var c=b.getElementById(a);return c&&c.parentNode?[c]:[]}},d.filter.ID=function(a){var b=a.replace(ca,da);return function(a){return a.getAttribute("id")===b}}):(delete d.find.ID,d.filter.ID=function(a){var b=a.replace(ca,da);return function(a){var c="undefined"!=typeof a.getAttributeNode&&a.getAttributeNode("id");return c&&c.value===b}}),d.find.TAG=c.getElementsByTagName?function(a,b){return"undefined"!=typeof b.getElementsByTagName?b.getElementsByTagName(a):c.qsa?b.querySelectorAll(a):void 0}:function(a,b){var c,d=[],e=0,f=b.getElementsByTagName(a);if("*"===a){while(c=f[e++])1===c.nodeType&&d.push(c);return d}return f},d.find.CLASS=c.getElementsByClassName&&function(a,b){return p?b.getElementsByClassName(a):void 0},r=[],q=[],(c.qsa=$.test(g.querySelectorAll))&&(ja(function(a){o.appendChild(a).innerHTML="<a id='"+u+"'></a><select id='"+u+"-\f]' msallowcapture=''><option selected=''></option></select>",a.querySelectorAll("[msallowcapture^='']").length&&q.push("[*^$]="+L+"*(?:''|\"\")"),a.querySelectorAll("[selected]").length||q.push("\\["+L+"*(?:value|"+K+")"),a.querySelectorAll("[id~="+u+"-]").length||q.push("~="),a.querySelectorAll(":checked").length||q.push(":checked"),a.querySelectorAll("a#"+u+"+*").length||q.push(".#.+[+~]")}),ja(function(a){var b=g.createElement("input");b.setAttribute("type","hidden"),a.appendChild(b).setAttribute("name","D"),a.querySelectorAll("[name=d]").length&&q.push("name"+L+"*[*^$|!~]?="),a.querySelectorAll(":enabled").length||q.push(":enabled",":disabled"),a.querySelectorAll("*,:x"),q.push(",.*:")})),(c.matchesSelector=$.test(s=o.matches||o.webkitMatchesSelector||o.mozMatchesSelector||o.oMatchesSelector||o.msMatchesSelector))&&ja(function(a){c.disconnectedMatch=s.call(a,"div"),s.call(a,"[s!='']:x"),r.push("!=",P)}),q=q.length&&new RegExp(q.join("|")),r=r.length&&new RegExp(r.join("|")),b=$.test(o.compareDocumentPosition),t=b||$.test(o.contains)?function(a,b){var c=9===a.nodeType?a.documentElement:a,d=b&&b.parentNode;return a===d||!(!d||1!==d.nodeType||!(c.contains?c.contains(d):a.compareDocumentPosition&&16&a.compareDocumentPosition(d)))}:function(a,b){if(b)while(b=b.parentNode)if(b===a)return!0;return!1},B=b?function(a,b){if(a===b)return l=!0,0;var d=!a.compareDocumentPosition-!b.compareDocumentPosition;return d?d:(d=(a.ownerDocument||a)===(b.ownerDocument||b)?a.compareDocumentPosition(b):1,1&d||!c.sortDetached&&b.compareDocumentPosition(a)===d?a===g||a.ownerDocument===v&&t(v,a)?-1:b===g||b.ownerDocument===v&&t(v,b)?1:k?J(k,a)-J(k,b):0:4&d?-1:1)}:function(a,b){if(a===b)return l=!0,0;var c,d=0,e=a.parentNode,f=b.parentNode,h=[a],i=[b];if(!e||!f)return a===g?-1:b===g?1:e?-1:f?1:k?J(k,a)-J(k,b):0;if(e===f)return la(a,b);c=a;while(c=c.parentNode)h.unshift(c);c=b;while(c=c.parentNode)i.unshift(c);while(h[d]===i[d])d++;return d?la(h[d],i[d]):h[d]===v?-1:i[d]===v?1:0},g):n},ga.matches=function(a,b){return ga(a,null,null,b)},ga.matchesSelector=function(a,b){if((a.ownerDocument||a)!==n&&m(a),b=b.replace(U,"='$1']"),!(!c.matchesSelector||!p||r&&r.test(b)||q&&q.test(b)))try{var d=s.call(a,b);if(d||c.disconnectedMatch||a.document&&11!==a.document.nodeType)return d}catch(e){}return ga(b,n,null,[a]).length>0},ga.contains=function(a,b){return(a.ownerDocument||a)!==n&&m(a),t(a,b)},ga.attr=function(a,b){(a.ownerDocument||a)!==n&&m(a);var e=d.attrHandle[b.toLowerCase()],f=e&&D.call(d.attrHandle,b.toLowerCase())?e(a,b,!p):void 0;return void 0!==f?f:c.attributes||!p?a.getAttribute(b):(f=a.getAttributeNode(b))&&f.specified?f.value:null},ga.error=function(a){throw new Error("Syntax error, unrecognized expression: "+a)},ga.uniqueSort=function(a){var b,d=[],e=0,f=0;if(l=!c.detectDuplicates,k=!c.sortStable&&a.slice(0),a.sort(B),l){while(b=a[f++])b===a[f]&&(e=d.push(f));while(e--)a.splice(d[e],1)}return k=null,a},e=ga.getText=function(a){var b,c="",d=0,f=a.nodeType;if(f){if(1===f||9===f||11===f){if("string"==typeof a.textContent)return a.textContent;for(a=a.firstChild;a;a=a.nextSibling)c+=e(a)}else if(3===f||4===f)return a.nodeValue}else while(b=a[d++])c+=e(b);return c},d=ga.selectors={cacheLength:50,createPseudo:ia,match:X,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(a){return a[1]=a[1].replace(ca,da),a[3]=(a[3]||a[4]||a[5]||"").replace(ca,da),"~="===a[2]&&(a[3]=" "+a[3]+" "),a.slice(0,4)},CHILD:function(a){return a[1]=a[1].toLowerCase(),"nth"===a[1].slice(0,3)?(a[3]||ga.error(a[0]),a[4]=+(a[4]?a[5]+(a[6]||1):2*("even"===a[3]||"odd"===a[3])),a[5]=+(a[7]+a[8]||"odd"===a[3])):a[3]&&ga.error(a[0]),a},PSEUDO:function(a){var b,c=!a[6]&&a[2];return X.CHILD.test(a[0])?null:(a[3]?a[2]=a[4]||a[5]||"":c&&V.test(c)&&(b=g(c,!0))&&(b=c.indexOf(")",c.length-b)-c.length)&&(a[0]=a[0].slice(0,b),a[2]=c.slice(0,b)),a.slice(0,3))}},filter:{TAG:function(a){var b=a.replace(ca,da).toLowerCase();return"*"===a?function(){return!0}:function(a){return a.nodeName&&a.nodeName.toLowerCase()===b}},CLASS:function(a){var b=y[a+" "];return b||(b=new RegExp("(^|"+L+")"+a+"("+L+"|$)"))&&y(a,function(a){return b.test("string"==typeof a.className&&a.className||"undefined"!=typeof a.getAttribute&&a.getAttribute("class")||"")})},ATTR:function(a,b,c){return function(d){var e=ga.attr(d,a);return null==e?"!="===b:b?(e+="","="===b?e===c:"!="===b?e!==c:"^="===b?c&&0===e.indexOf(c):"*="===b?c&&e.indexOf(c)>-1:"$="===b?c&&e.slice(-c.length)===c:"~="===b?(" "+e.replace(Q," ")+" ").indexOf(c)>-1:"|="===b?e===c||e.slice(0,c.length+1)===c+"-":!1):!0}},CHILD:function(a,b,c,d,e){var f="nth"!==a.slice(0,3),g="last"!==a.slice(-4),h="of-type"===b;return 1===d&&0===e?function(a){return!!a.parentNode}:function(b,c,i){var j,k,l,m,n,o,p=f!==g?"nextSibling":"previousSibling",q=b.parentNode,r=h&&b.nodeName.toLowerCase(),s=!i&&!h;if(q){if(f){while(p){l=b;while(l=l[p])if(h?l.nodeName.toLowerCase()===r:1===l.nodeType)return!1;o=p="only"===a&&!o&&"nextSibling"}return!0}if(o=[g?q.firstChild:q.lastChild],g&&s){k=q[u]||(q[u]={}),j=k[a]||[],n=j[0]===w&&j[1],m=j[0]===w&&j[2],l=n&&q.childNodes[n];while(l=++n&&l&&l[p]||(m=n=0)||o.pop())if(1===l.nodeType&&++m&&l===b){k[a]=[w,n,m];break}}else if(s&&(j=(b[u]||(b[u]={}))[a])&&j[0]===w)m=j[1];else while(l=++n&&l&&l[p]||(m=n=0)||o.pop())if((h?l.nodeName.toLowerCase()===r:1===l.nodeType)&&++m&&(s&&((l[u]||(l[u]={}))[a]=[w,m]),l===b))break;return m-=e,m===d||m%d===0&&m/d>=0}}},PSEUDO:function(a,b){var c,e=d.pseudos[a]||d.setFilters[a.toLowerCase()]||ga.error("unsupported pseudo: "+a);return e[u]?e(b):e.length>1?(c=[a,a,"",b],d.setFilters.hasOwnProperty(a.toLowerCase())?ia(function(a,c){var d,f=e(a,b),g=f.length;while(g--)d=J(a,f[g]),a[d]=!(c[d]=f[g])}):function(a){return e(a,0,c)}):e}},pseudos:{not:ia(function(a){var b=[],c=[],d=h(a.replace(R,"$1"));return d[u]?ia(function(a,b,c,e){var f,g=d(a,null,e,[]),h=a.length;while(h--)(f=g[h])&&(a[h]=!(b[h]=f))}):function(a,e,f){return b[0]=a,d(b,null,f,c),b[0]=null,!c.pop()}}),has:ia(function(a){return function(b){return ga(a,b).length>0}}),contains:ia(function(a){return a=a.replace(ca,da),function(b){return(b.textContent||b.innerText||e(b)).indexOf(a)>-1}}),lang:ia(function(a){return W.test(a||"")||ga.error("unsupported lang: "+a),a=a.replace(ca,da).toLowerCase(),function(b){var c;do if(c=p?b.lang:b.getAttribute("xml:lang")||b.getAttribute("lang"))return c=c.toLowerCase(),c===a||0===c.indexOf(a+"-");while((b=b.parentNode)&&1===b.nodeType);return!1}}),target:function(b){var c=a.location&&a.location.hash;return c&&c.slice(1)===b.id},root:function(a){return a===o},focus:function(a){return a===n.activeElement&&(!n.hasFocus||n.hasFocus())&&!!(a.type||a.href||~a.tabIndex)},enabled:function(a){return a.disabled===!1},disabled:function(a){return a.disabled===!0},checked:function(a){var b=a.nodeName.toLowerCase();return"input"===b&&!!a.checked||"option"===b&&!!a.selected},selected:function(a){return a.parentNode&&a.parentNode.selectedIndex,a.selected===!0},empty:function(a){for(a=a.firstChild;a;a=a.nextSibling)if(a.nodeType<6)return!1;return!0},parent:function(a){return!d.pseudos.empty(a)},header:function(a){return Z.test(a.nodeName)},input:function(a){return Y.test(a.nodeName)},button:function(a){var b=a.nodeName.toLowerCase();return"input"===b&&"button"===a.type||"button"===b},text:function(a){var b;return"input"===a.nodeName.toLowerCase()&&"text"===a.type&&(null==(b=a.getAttribute("type"))||"text"===b.toLowerCase())},first:oa(function(){return[0]}),last:oa(function(a,b){return[b-1]}),eq:oa(function(a,b,c){return[0>c?c+b:c]}),even:oa(function(a,b){for(var c=0;b>c;c+=2)a.push(c);return a}),odd:oa(function(a,b){for(var c=1;b>c;c+=2)a.push(c);return a}),lt:oa(function(a,b,c){for(var d=0>c?c+b:c;--d>=0;)a.push(d);return a}),gt:oa(function(a,b,c){for(var d=0>c?c+b:c;++d<b;)a.push(d);return a})}},d.pseudos.nth=d.pseudos.eq;for(b in{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})d.pseudos[b]=ma(b);for(b in{submit:!0,reset:!0})d.pseudos[b]=na(b);function qa(){}qa.prototype=d.filters=d.pseudos,d.setFilters=new qa,g=ga.tokenize=function(a,b){var c,e,f,g,h,i,j,k=z[a+" "];if(k)return b?0:k.slice(0);h=a,i=[],j=d.preFilter;while(h){(!c||(e=S.exec(h)))&&(e&&(h=h.slice(e[0].length)||h),i.push(f=[])),c=!1,(e=T.exec(h))&&(c=e.shift(),f.push({value:c,type:e[0].replace(R," ")}),h=h.slice(c.length));for(g in d.filter)!(e=X[g].exec(h))||j[g]&&!(e=j[g](e))||(c=e.shift(),f.push({value:c,type:g,matches:e}),h=h.slice(c.length));if(!c)break}return b?h.length:h?ga.error(a):z(a,i).slice(0)};function ra(a){for(var b=0,c=a.length,d="";c>b;b++)d+=a[b].value;return d}function sa(a,b,c){var d=b.dir,e=c&&"parentNode"===d,f=x++;return b.first?function(b,c,f){while(b=b[d])if(1===b.nodeType||e)return a(b,c,f)}:function(b,c,g){var h,i,j=[w,f];if(g){while(b=b[d])if((1===b.nodeType||e)&&a(b,c,g))return!0}else while(b=b[d])if(1===b.nodeType||e){if(i=b[u]||(b[u]={}),(h=i[d])&&h[0]===w&&h[1]===f)return j[2]=h[2];if(i[d]=j,j[2]=a(b,c,g))return!0}}}function ta(a){return a.length>1?function(b,c,d){var e=a.length;while(e--)if(!a[e](b,c,d))return!1;return!0}:a[0]}function ua(a,b,c){for(var d=0,e=b.length;e>d;d++)ga(a,b[d],c);return c}function va(a,b,c,d,e){for(var f,g=[],h=0,i=a.length,j=null!=b;i>h;h++)(f=a[h])&&(!c||c(f,d,e))&&(g.push(f),j&&b.push(h));return g}function wa(a,b,c,d,e,f){return d&&!d[u]&&(d=wa(d)),e&&!e[u]&&(e=wa(e,f)),ia(function(f,g,h,i){var j,k,l,m=[],n=[],o=g.length,p=f||ua(b||"*",h.nodeType?[h]:h,[]),q=!a||!f&&b?p:va(p,m,a,h,i),r=c?e||(f?a:o||d)?[]:g:q;if(c&&c(q,r,h,i),d){j=va(r,n),d(j,[],h,i),k=j.length;while(k--)(l=j[k])&&(r[n[k]]=!(q[n[k]]=l))}if(f){if(e||a){if(e){j=[],k=r.length;while(k--)(l=r[k])&&j.push(q[k]=l);e(null,r=[],j,i)}k=r.length;while(k--)(l=r[k])&&(j=e?J(f,l):m[k])>-1&&(f[j]=!(g[j]=l))}}else r=va(r===g?r.splice(o,r.length):r),e?e(null,g,r,i):H.apply(g,r)})}function xa(a){for(var b,c,e,f=a.length,g=d.relative[a[0].type],h=g||d.relative[" "],i=g?1:0,k=sa(function(a){return a===b},h,!0),l=sa(function(a){return J(b,a)>-1},h,!0),m=[function(a,c,d){var e=!g&&(d||c!==j)||((b=c).nodeType?k(a,c,d):l(a,c,d));return b=null,e}];f>i;i++)if(c=d.relative[a[i].type])m=[sa(ta(m),c)];else{if(c=d.filter[a[i].type].apply(null,a[i].matches),c[u]){for(e=++i;f>e;e++)if(d.relative[a[e].type])break;return wa(i>1&&ta(m),i>1&&ra(a.slice(0,i-1).concat({value:" "===a[i-2].type?"*":""})).replace(R,"$1"),c,e>i&&xa(a.slice(i,e)),f>e&&xa(a=a.slice(e)),f>e&&ra(a))}m.push(c)}return ta(m)}function ya(a,b){var c=b.length>0,e=a.length>0,f=function(f,g,h,i,k){var l,m,o,p=0,q="0",r=f&&[],s=[],t=j,u=f||e&&d.find.TAG("*",k),v=w+=null==t?1:Math.random()||.1,x=u.length;for(k&&(j=g!==n&&g);q!==x&&null!=(l=u[q]);q++){if(e&&l){m=0;while(o=a[m++])if(o(l,g,h)){i.push(l);break}k&&(w=v)}c&&((l=!o&&l)&&p--,f&&r.push(l))}if(p+=q,c&&q!==p){m=0;while(o=b[m++])o(r,s,g,h);if(f){if(p>0)while(q--)r[q]||s[q]||(s[q]=F.call(i));s=va(s)}H.apply(i,s),k&&!f&&s.length>0&&p+b.length>1&&ga.uniqueSort(i)}return k&&(w=v,j=t),r};return c?ia(f):f}return h=ga.compile=function(a,b){var c,d=[],e=[],f=A[a+" "];if(!f){b||(b=g(a)),c=b.length;while(c--)f=xa(b[c]),f[u]?d.push(f):e.push(f);f=A(a,ya(e,d)),f.selector=a}return f},i=ga.select=function(a,b,e,f){var i,j,k,l,m,n="function"==typeof a&&a,o=!f&&g(a=n.selector||a);if(e=e||[],1===o.length){if(j=o[0]=o[0].slice(0),j.length>2&&"ID"===(k=j[0]).type&&c.getById&&9===b.nodeType&&p&&d.relative[j[1].type]){if(b=(d.find.ID(k.matches[0].replace(ca,da),b)||[])[0],!b)return e;n&&(b=b.parentNode),a=a.slice(j.shift().value.length)}i=X.needsContext.test(a)?0:j.length;while(i--){if(k=j[i],d.relative[l=k.type])break;if((m=d.find[l])&&(f=m(k.matches[0].replace(ca,da),aa.test(j[0].type)&&pa(b.parentNode)||b))){if(j.splice(i,1),a=f.length&&ra(j),!a)return H.apply(e,f),e;break}}}return(n||h(a,o))(f,b,!p,e,aa.test(a)&&pa(b.parentNode)||b),e},c.sortStable=u.split("").sort(B).join("")===u,c.detectDuplicates=!!l,m(),c.sortDetached=ja(function(a){return 1&a.compareDocumentPosition(n.createElement("div"))}),ja(function(a){return a.innerHTML="<a href='#'></a>","#"===a.firstChild.getAttribute("href")})||ka("type|href|height|width",function(a,b,c){return c?void 0:a.getAttribute(b,"type"===b.toLowerCase()?1:2)}),c.attributes&&ja(function(a){return a.innerHTML="<input/>",a.firstChild.setAttribute("value",""),""===a.firstChild.getAttribute("value")})||ka("value",function(a,b,c){return c||"input"!==a.nodeName.toLowerCase()?void 0:a.defaultValue}),ja(function(a){return null==a.getAttribute("disabled")})||ka(K,function(a,b,c){var d;return c?void 0:a[b]===!0?b.toLowerCase():(d=a.getAttributeNode(b))&&d.specified?d.value:null}),ga}(a);m.find=s,m.expr=s.selectors,m.expr[":"]=m.expr.pseudos,m.unique=s.uniqueSort,m.text=s.getText,m.isXMLDoc=s.isXML,m.contains=s.contains;var t=m.expr.match.needsContext,u=/^<(\w+)\s*\/?>(?:<\/\1>|)$/,v=/^.[^:#\[\.,]*$/;function w(a,b,c){if(m.isFunction(b))return m.grep(a,function(a,d){return!!b.call(a,d,a)!==c});if(b.nodeType)return m.grep(a,function(a){return a===b!==c});if("string"==typeof b){if(v.test(b))return m.filter(b,a,c);b=m.filter(b,a)}return m.grep(a,function(a){return m.inArray(a,b)>=0!==c})}m.filter=function(a,b,c){var d=b[0];return c&&(a=":not("+a+")"),1===b.length&&1===d.nodeType?m.find.matchesSelector(d,a)?[d]:[]:m.find.matches(a,m.grep(b,function(a){return 1===a.nodeType}))},m.fn.extend({find:function(a){var b,c=[],d=this,e=d.length;if("string"!=typeof a)return this.pushStack(m(a).filter(function(){for(b=0;e>b;b++)if(m.contains(d[b],this))return!0}));for(b=0;e>b;b++)m.find(a,d[b],c);return c=this.pushStack(e>1?m.unique(c):c),c.selector=this.selector?this.selector+" "+a:a,c},filter:function(a){return this.pushStack(w(this,a||[],!1))},not:function(a){return this.pushStack(w(this,a||[],!0))},is:function(a){return!!w(this,"string"==typeof a&&t.test(a)?m(a):a||[],!1).length}});var x,y=a.document,z=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]*))$/,A=m.fn.init=function(a,b){var c,d;if(!a)return this;if("string"==typeof a){if(c="<"===a.charAt(0)&&">"===a.charAt(a.length-1)&&a.length>=3?[null,a,null]:z.exec(a),!c||!c[1]&&b)return!b||b.jquery?(b||x).find(a):this.constructor(b).find(a);if(c[1]){if(b=b instanceof m?b[0]:b,m.merge(this,m.parseHTML(c[1],b&&b.nodeType?b.ownerDocument||b:y,!0)),u.test(c[1])&&m.isPlainObject(b))for(c in b)m.isFunction(this[c])?this[c](b[c]):this.attr(c,b[c]);return this}if(d=y.getElementById(c[2]),d&&d.parentNode){if(d.id!==c[2])return x.find(a);this.length=1,this[0]=d}return this.context=y,this.selector=a,this}return a.nodeType?(this.context=this[0]=a,this.length=1,this):m.isFunction(a)?"undefined"!=typeof x.ready?x.ready(a):a(m):(void 0!==a.selector&&(this.selector=a.selector,this.context=a.context),m.makeArray(a,this))};A.prototype=m.fn,x=m(y);var B=/^(?:parents|prev(?:Until|All))/,C={children:!0,contents:!0,next:!0,prev:!0};m.extend({dir:function(a,b,c){var d=[],e=a[b];while(e&&9!==e.nodeType&&(void 0===c||1!==e.nodeType||!m(e).is(c)))1===e.nodeType&&d.push(e),e=e[b];return d},sibling:function(a,b){for(var c=[];a;a=a.nextSibling)1===a.nodeType&&a!==b&&c.push(a);return c}}),m.fn.extend({has:function(a){var b,c=m(a,this),d=c.length;return this.filter(function(){for(b=0;d>b;b++)if(m.contains(this,c[b]))return!0})},closest:function(a,b){for(var c,d=0,e=this.length,f=[],g=t.test(a)||"string"!=typeof a?m(a,b||this.context):0;e>d;d++)for(c=this[d];c&&c!==b;c=c.parentNode)if(c.nodeType<11&&(g?g.index(c)>-1:1===c.nodeType&&m.find.matchesSelector(c,a))){f.push(c);break}return this.pushStack(f.length>1?m.unique(f):f)},index:function(a){return a?"string"==typeof a?m.inArray(this[0],m(a)):m.inArray(a.jquery?a[0]:a,this):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(a,b){return this.pushStack(m.unique(m.merge(this.get(),m(a,b))))},addBack:function(a){return this.add(null==a?this.prevObject:this.prevObject.filter(a))}});function D(a,b){do a=a[b];while(a&&1!==a.nodeType);return a}m.each({parent:function(a){var b=a.parentNode;return b&&11!==b.nodeType?b:null},parents:function(a){return m.dir(a,"parentNode")},parentsUntil:function(a,b,c){return m.dir(a,"parentNode",c)},next:function(a){return D(a,"nextSibling")},prev:function(a){return D(a,"previousSibling")},nextAll:function(a){return m.dir(a,"nextSibling")},prevAll:function(a){return m.dir(a,"previousSibling")},nextUntil:function(a,b,c){return m.dir(a,"nextSibling",c)},prevUntil:function(a,b,c){return m.dir(a,"previousSibling",c)},siblings:function(a){return m.sibling((a.parentNode||{}).firstChild,a)},children:function(a){return m.sibling(a.firstChild)},contents:function(a){return m.nodeName(a,"iframe")?a.contentDocument||a.contentWindow.document:m.merge([],a.childNodes)}},function(a,b){m.fn[a]=function(c,d){var e=m.map(this,b,c);return"Until"!==a.slice(-5)&&(d=c),d&&"string"==typeof d&&(e=m.filter(d,e)),this.length>1&&(C[a]||(e=m.unique(e)),B.test(a)&&(e=e.reverse())),this.pushStack(e)}});var E=/\S+/g,F={};function G(a){var b=F[a]={};return m.each(a.match(E)||[],function(a,c){b[c]=!0}),b}m.Callbacks=function(a){a="string"==typeof a?F[a]||G(a):m.extend({},a);var b,c,d,e,f,g,h=[],i=!a.once&&[],j=function(l){for(c=a.memory&&l,d=!0,f=g||0,g=0,e=h.length,b=!0;h&&e>f;f++)if(h[f].apply(l[0],l[1])===!1&&a.stopOnFalse){c=!1;break}b=!1,h&&(i?i.length&&j(i.shift()):c?h=[]:k.disable())},k={add:function(){if(h){var d=h.length;!function f(b){m.each(b,function(b,c){var d=m.type(c);"function"===d?a.unique&&k.has(c)||h.push(c):c&&c.length&&"string"!==d&&f(c)})}(arguments),b?e=h.length:c&&(g=d,j(c))}return this},remove:function(){return h&&m.each(arguments,function(a,c){var d;while((d=m.inArray(c,h,d))>-1)h.splice(d,1),b&&(e>=d&&e--,f>=d&&f--)}),this},has:function(a){return a?m.inArray(a,h)>-1:!(!h||!h.length)},empty:function(){return h=[],e=0,this},disable:function(){return h=i=c=void 0,this},disabled:function(){return!h},lock:function(){return i=void 0,c||k.disable(),this},locked:function(){return!i},fireWith:function(a,c){return!h||d&&!i||(c=c||[],c=[a,c.slice?c.slice():c],b?i.push(c):j(c)),this},fire:function(){return k.fireWith(this,arguments),this},fired:function(){return!!d}};return k},m.extend({Deferred:function(a){var b=[["resolve","done",m.Callbacks("once memory"),"resolved"],["reject","fail",m.Callbacks("once memory"),"rejected"],["notify","progress",m.Callbacks("memory")]],c="pending",d={state:function(){return c},always:function(){return e.done(arguments).fail(arguments),this},then:function(){var a=arguments;return m.Deferred(function(c){m.each(b,function(b,f){var g=m.isFunction(a[b])&&a[b];e[f[1]](function(){var a=g&&g.apply(this,arguments);a&&m.isFunction(a.promise)?a.promise().done(c.resolve).fail(c.reject).progress(c.notify):c[f[0]+"With"](this===d?c.promise():this,g?[a]:arguments)})}),a=null}).promise()},promise:function(a){return null!=a?m.extend(a,d):d}},e={};return d.pipe=d.then,m.each(b,function(a,f){var g=f[2],h=f[3];d[f[1]]=g.add,h&&g.add(function(){c=h},b[1^a][2].disable,b[2][2].lock),e[f[0]]=function(){return e[f[0]+"With"](this===e?d:this,arguments),this},e[f[0]+"With"]=g.fireWith}),d.promise(e),a&&a.call(e,e),e},when:function(a){var b=0,c=d.call(arguments),e=c.length,f=1!==e||a&&m.isFunction(a.promise)?e:0,g=1===f?a:m.Deferred(),h=function(a,b,c){return function(e){b[a]=this,c[a]=arguments.length>1?d.call(arguments):e,c===i?g.notifyWith(b,c):--f||g.resolveWith(b,c)}},i,j,k;if(e>1)for(i=new Array(e),j=new Array(e),k=new Array(e);e>b;b++)c[b]&&m.isFunction(c[b].promise)?c[b].promise().done(h(b,k,c)).fail(g.reject).progress(h(b,j,i)):--f;return f||g.resolveWith(k,c),g.promise()}});var H;m.fn.ready=function(a){return m.ready.promise().done(a),this},m.extend({isReady:!1,readyWait:1,holdReady:function(a){a?m.readyWait++:m.ready(!0)},ready:function(a){if(a===!0?!--m.readyWait:!m.isReady){if(!y.body)return setTimeout(m.ready);m.isReady=!0,a!==!0&&--m.readyWait>0||(H.resolveWith(y,[m]),m.fn.triggerHandler&&(m(y).triggerHandler("ready"),m(y).off("ready")))}}});function I(){y.addEventListener?(y.removeEventListener("DOMContentLoaded",J,!1),a.removeEventListener("load",J,!1)):(y.detachEvent("onreadystatechange",J),a.detachEvent("onload",J))}function J(){(y.addEventListener||"load"===event.type||"complete"===y.readyState)&&(I(),m.ready())}m.ready.promise=function(b){if(!H)if(H=m.Deferred(),"complete"===y.readyState)setTimeout(m.ready);else if(y.addEventListener)y.addEventListener("DOMContentLoaded",J,!1),a.addEventListener("load",J,!1);else{y.attachEvent("onreadystatechange",J),a.attachEvent("onload",J);var c=!1;try{c=null==a.frameElement&&y.documentElement}catch(d){}c&&c.doScroll&&!function e(){if(!m.isReady){try{c.doScroll("left")}catch(a){return setTimeout(e,50)}I(),m.ready()}}()}return H.promise(b)};var K="undefined",L;for(L in m(k))break;k.ownLast="0"!==L,k.inlineBlockNeedsLayout=!1,m(function(){var a,b,c,d;c=y.getElementsByTagName("body")[0],c&&c.style&&(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),typeof b.style.zoom!==K&&(b.style.cssText="display:inline;margin:0;border:0;padding:1px;width:1px;zoom:1",k.inlineBlockNeedsLayout=a=3===b.offsetWidth,a&&(c.style.zoom=1)),c.removeChild(d))}),function(){var a=y.createElement("div");if(null==k.deleteExpando){k.deleteExpando=!0;try{delete a.test}catch(b){k.deleteExpando=!1}}a=null}(),m.acceptData=function(a){var b=m.noData[(a.nodeName+" ").toLowerCase()],c=+a.nodeType||1;return 1!==c&&9!==c?!1:!b||b!==!0&&a.getAttribute("classid")===b};var M=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,N=/([A-Z])/g;function O(a,b,c){if(void 0===c&&1===a.nodeType){var d="data-"+b.replace(N,"-$1").toLowerCase();if(c=a.getAttribute(d),"string"==typeof c){try{c="true"===c?!0:"false"===c?!1:"null"===c?null:+c+""===c?+c:M.test(c)?m.parseJSON(c):c}catch(e){}m.data(a,b,c)}else c=void 0}return c}function P(a){var b;for(b in a)if(("data"!==b||!m.isEmptyObject(a[b]))&&"toJSON"!==b)return!1;
-
-return!0}function Q(a,b,d,e){if(m.acceptData(a)){var f,g,h=m.expando,i=a.nodeType,j=i?m.cache:a,k=i?a[h]:a[h]&&h;if(k&&j[k]&&(e||j[k].data)||void 0!==d||"string"!=typeof b)return k||(k=i?a[h]=c.pop()||m.guid++:h),j[k]||(j[k]=i?{}:{toJSON:m.noop}),("object"==typeof b||"function"==typeof b)&&(e?j[k]=m.extend(j[k],b):j[k].data=m.extend(j[k].data,b)),g=j[k],e||(g.data||(g.data={}),g=g.data),void 0!==d&&(g[m.camelCase(b)]=d),"string"==typeof b?(f=g[b],null==f&&(f=g[m.camelCase(b)])):f=g,f}}function R(a,b,c){if(m.acceptData(a)){var d,e,f=a.nodeType,g=f?m.cache:a,h=f?a[m.expando]:m.expando;if(g[h]){if(b&&(d=c?g[h]:g[h].data)){m.isArray(b)?b=b.concat(m.map(b,m.camelCase)):b in d?b=[b]:(b=m.camelCase(b),b=b in d?[b]:b.split(" ")),e=b.length;while(e--)delete d[b[e]];if(c?!P(d):!m.isEmptyObject(d))return}(c||(delete g[h].data,P(g[h])))&&(f?m.cleanData([a],!0):k.deleteExpando||g!=g.window?delete g[h]:g[h]=null)}}}m.extend({cache:{},noData:{"applet ":!0,"embed ":!0,"object ":"clsid:D27CDB6E-AE6D-11cf-96B8-444553540000"},hasData:function(a){return a=a.nodeType?m.cache[a[m.expando]]:a[m.expando],!!a&&!P(a)},data:function(a,b,c){return Q(a,b,c)},removeData:function(a,b){return R(a,b)},_data:function(a,b,c){return Q(a,b,c,!0)},_removeData:function(a,b){return R(a,b,!0)}}),m.fn.extend({data:function(a,b){var c,d,e,f=this[0],g=f&&f.attributes;if(void 0===a){if(this.length&&(e=m.data(f),1===f.nodeType&&!m._data(f,"parsedAttrs"))){c=g.length;while(c--)g[c]&&(d=g[c].name,0===d.indexOf("data-")&&(d=m.camelCase(d.slice(5)),O(f,d,e[d])));m._data(f,"parsedAttrs",!0)}return e}return"object"==typeof a?this.each(function(){m.data(this,a)}):arguments.length>1?this.each(function(){m.data(this,a,b)}):f?O(f,a,m.data(f,a)):void 0},removeData:function(a){return this.each(function(){m.removeData(this,a)})}}),m.extend({queue:function(a,b,c){var d;return a?(b=(b||"fx")+"queue",d=m._data(a,b),c&&(!d||m.isArray(c)?d=m._data(a,b,m.makeArray(c)):d.push(c)),d||[]):void 0},dequeue:function(a,b){b=b||"fx";var c=m.queue(a,b),d=c.length,e=c.shift(),f=m._queueHooks(a,b),g=function(){m.dequeue(a,b)};"inprogress"===e&&(e=c.shift(),d--),e&&("fx"===b&&c.unshift("inprogress"),delete f.stop,e.call(a,g,f)),!d&&f&&f.empty.fire()},_queueHooks:function(a,b){var c=b+"queueHooks";return m._data(a,c)||m._data(a,c,{empty:m.Callbacks("once memory").add(function(){m._removeData(a,b+"queue"),m._removeData(a,c)})})}}),m.fn.extend({queue:function(a,b){var c=2;return"string"!=typeof a&&(b=a,a="fx",c--),arguments.length<c?m.queue(this[0],a):void 0===b?this:this.each(function(){var c=m.queue(this,a,b);m._queueHooks(this,a),"fx"===a&&"inprogress"!==c[0]&&m.dequeue(this,a)})},dequeue:function(a){return this.each(function(){m.dequeue(this,a)})},clearQueue:function(a){return this.queue(a||"fx",[])},promise:function(a,b){var c,d=1,e=m.Deferred(),f=this,g=this.length,h=function(){--d||e.resolveWith(f,[f])};"string"!=typeof a&&(b=a,a=void 0),a=a||"fx";while(g--)c=m._data(f[g],a+"queueHooks"),c&&c.empty&&(d++,c.empty.add(h));return h(),e.promise(b)}});var S=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,T=["Top","Right","Bottom","Left"],U=function(a,b){return a=b||a,"none"===m.css(a,"display")||!m.contains(a.ownerDocument,a)},V=m.access=function(a,b,c,d,e,f,g){var h=0,i=a.length,j=null==c;if("object"===m.type(c)){e=!0;for(h in c)m.access(a,b,h,c[h],!0,f,g)}else if(void 0!==d&&(e=!0,m.isFunction(d)||(g=!0),j&&(g?(b.call(a,d),b=null):(j=b,b=function(a,b,c){return j.call(m(a),c)})),b))for(;i>h;h++)b(a[h],c,g?d:d.call(a[h],h,b(a[h],c)));return e?a:j?b.call(a):i?b(a[0],c):f},W=/^(?:checkbox|radio)$/i;!function(){var a=y.createElement("input"),b=y.createElement("div"),c=y.createDocumentFragment();if(b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",k.leadingWhitespace=3===b.firstChild.nodeType,k.tbody=!b.getElementsByTagName("tbody").length,k.htmlSerialize=!!b.getElementsByTagName("link").length,k.html5Clone="<:nav></:nav>"!==y.createElement("nav").cloneNode(!0).outerHTML,a.type="checkbox",a.checked=!0,c.appendChild(a),k.appendChecked=a.checked,b.innerHTML="<textarea>x</textarea>",k.noCloneChecked=!!b.cloneNode(!0).lastChild.defaultValue,c.appendChild(b),b.innerHTML="<input type='radio' checked='checked' name='t'/>",k.checkClone=b.cloneNode(!0).cloneNode(!0).lastChild.checked,k.noCloneEvent=!0,b.attachEvent&&(b.attachEvent("onclick",function(){k.noCloneEvent=!1}),b.cloneNode(!0).click()),null==k.deleteExpando){k.deleteExpando=!0;try{delete b.test}catch(d){k.deleteExpando=!1}}}(),function(){var b,c,d=y.createElement("div");for(b in{submit:!0,change:!0,focusin:!0})c="on"+b,(k[b+"Bubbles"]=c in a)||(d.setAttribute(c,"t"),k[b+"Bubbles"]=d.attributes[c].expando===!1);d=null}();var X=/^(?:input|select|textarea)$/i,Y=/^key/,Z=/^(?:mouse|pointer|contextmenu)|click/,$=/^(?:focusinfocus|focusoutblur)$/,_=/^([^.]*)(?:\.(.+)|)$/;function aa(){return!0}function ba(){return!1}function ca(){try{return y.activeElement}catch(a){}}m.event={global:{},add:function(a,b,c,d,e){var f,g,h,i,j,k,l,n,o,p,q,r=m._data(a);if(r){c.handler&&(i=c,c=i.handler,e=i.selector),c.guid||(c.guid=m.guid++),(g=r.events)||(g=r.events={}),(k=r.handle)||(k=r.handle=function(a){return typeof m===K||a&&m.event.triggered===a.type?void 0:m.event.dispatch.apply(k.elem,arguments)},k.elem=a),b=(b||"").match(E)||[""],h=b.length;while(h--)f=_.exec(b[h])||[],o=q=f[1],p=(f[2]||"").split(".").sort(),o&&(j=m.event.special[o]||{},o=(e?j.delegateType:j.bindType)||o,j=m.event.special[o]||{},l=m.extend({type:o,origType:q,data:d,handler:c,guid:c.guid,selector:e,needsContext:e&&m.expr.match.needsContext.test(e),namespace:p.join(".")},i),(n=g[o])||(n=g[o]=[],n.delegateCount=0,j.setup&&j.setup.call(a,d,p,k)!==!1||(a.addEventListener?a.addEventListener(o,k,!1):a.attachEvent&&a.attachEvent("on"+o,k))),j.add&&(j.add.call(a,l),l.handler.guid||(l.handler.guid=c.guid)),e?n.splice(n.delegateCount++,0,l):n.push(l),m.event.global[o]=!0);a=null}},remove:function(a,b,c,d,e){var f,g,h,i,j,k,l,n,o,p,q,r=m.hasData(a)&&m._data(a);if(r&&(k=r.events)){b=(b||"").match(E)||[""],j=b.length;while(j--)if(h=_.exec(b[j])||[],o=q=h[1],p=(h[2]||"").split(".").sort(),o){l=m.event.special[o]||{},o=(d?l.delegateType:l.bindType)||o,n=k[o]||[],h=h[2]&&new RegExp("(^|\\.)"+p.join("\\.(?:.*\\.|)")+"(\\.|$)"),i=f=n.length;while(f--)g=n[f],!e&&q!==g.origType||c&&c.guid!==g.guid||h&&!h.test(g.namespace)||d&&d!==g.selector&&("**"!==d||!g.selector)||(n.splice(f,1),g.selector&&n.delegateCount--,l.remove&&l.remove.call(a,g));i&&!n.length&&(l.teardown&&l.teardown.call(a,p,r.handle)!==!1||m.removeEvent(a,o,r.handle),delete k[o])}else for(o in k)m.event.remove(a,o+b[j],c,d,!0);m.isEmptyObject(k)&&(delete r.handle,m._removeData(a,"events"))}},trigger:function(b,c,d,e){var f,g,h,i,k,l,n,o=[d||y],p=j.call(b,"type")?b.type:b,q=j.call(b,"namespace")?b.namespace.split("."):[];if(h=l=d=d||y,3!==d.nodeType&&8!==d.nodeType&&!$.test(p+m.event.triggered)&&(p.indexOf(".")>=0&&(q=p.split("."),p=q.shift(),q.sort()),g=p.indexOf(":")<0&&"on"+p,b=b[m.expando]?b:new m.Event(p,"object"==typeof b&&b),b.isTrigger=e?2:3,b.namespace=q.join("."),b.namespace_re=b.namespace?new RegExp("(^|\\.)"+q.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,b.result=void 0,b.target||(b.target=d),c=null==c?[b]:m.makeArray(c,[b]),k=m.event.special[p]||{},e||!k.trigger||k.trigger.apply(d,c)!==!1)){if(!e&&!k.noBubble&&!m.isWindow(d)){for(i=k.delegateType||p,$.test(i+p)||(h=h.parentNode);h;h=h.parentNode)o.push(h),l=h;l===(d.ownerDocument||y)&&o.push(l.defaultView||l.parentWindow||a)}n=0;while((h=o[n++])&&!b.isPropagationStopped())b.type=n>1?i:k.bindType||p,f=(m._data(h,"events")||{})[b.type]&&m._data(h,"handle"),f&&f.apply(h,c),f=g&&h[g],f&&f.apply&&m.acceptData(h)&&(b.result=f.apply(h,c),b.result===!1&&b.preventDefault());if(b.type=p,!e&&!b.isDefaultPrevented()&&(!k._default||k._default.apply(o.pop(),c)===!1)&&m.acceptData(d)&&g&&d[p]&&!m.isWindow(d)){l=d[g],l&&(d[g]=null),m.event.triggered=p;try{d[p]()}catch(r){}m.event.triggered=void 0,l&&(d[g]=l)}return b.result}},dispatch:function(a){a=m.event.fix(a);var b,c,e,f,g,h=[],i=d.call(arguments),j=(m._data(this,"events")||{})[a.type]||[],k=m.event.special[a.type]||{};if(i[0]=a,a.delegateTarget=this,!k.preDispatch||k.preDispatch.call(this,a)!==!1){h=m.event.handlers.call(this,a,j),b=0;while((f=h[b++])&&!a.isPropagationStopped()){a.currentTarget=f.elem,g=0;while((e=f.handlers[g++])&&!a.isImmediatePropagationStopped())(!a.namespace_re||a.namespace_re.test(e.namespace))&&(a.handleObj=e,a.data=e.data,c=((m.event.special[e.origType]||{}).handle||e.handler).apply(f.elem,i),void 0!==c&&(a.result=c)===!1&&(a.preventDefault(),a.stopPropagation()))}return k.postDispatch&&k.postDispatch.call(this,a),a.result}},handlers:function(a,b){var c,d,e,f,g=[],h=b.delegateCount,i=a.target;if(h&&i.nodeType&&(!a.button||"click"!==a.type))for(;i!=this;i=i.parentNode||this)if(1===i.nodeType&&(i.disabled!==!0||"click"!==a.type)){for(e=[],f=0;h>f;f++)d=b[f],c=d.selector+" ",void 0===e[c]&&(e[c]=d.needsContext?m(c,this).index(i)>=0:m.find(c,this,null,[i]).length),e[c]&&e.push(d);e.length&&g.push({elem:i,handlers:e})}return h<b.length&&g.push({elem:this,handlers:b.slice(h)}),g},fix:function(a){if(a[m.expando])return a;var b,c,d,e=a.type,f=a,g=this.fixHooks[e];g||(this.fixHooks[e]=g=Z.test(e)?this.mouseHooks:Y.test(e)?this.keyHooks:{}),d=g.props?this.props.concat(g.props):this.props,a=new m.Event(f),b=d.length;while(b--)c=d[b],a[c]=f[c];return a.target||(a.target=f.srcElement||y),3===a.target.nodeType&&(a.target=a.target.parentNode),a.metaKey=!!a.metaKey,g.filter?g.filter(a,f):a},props:"altKey bubbles cancelable ctrlKey currentTarget eventPhase metaKey relatedTarget shiftKey target timeStamp view which".split(" "),fixHooks:{},keyHooks:{props:"char charCode key keyCode".split(" "),filter:function(a,b){return null==a.which&&(a.which=null!=b.charCode?b.charCode:b.keyCode),a}},mouseHooks:{props:"button buttons clientX clientY fromElement offsetX offsetY pageX pageY screenX screenY toElement".split(" "),filter:function(a,b){var c,d,e,f=b.button,g=b.fromElement;return null==a.pageX&&null!=b.clientX&&(d=a.target.ownerDocument||y,e=d.documentElement,c=d.body,a.pageX=b.clientX+(e&&e.scrollLeft||c&&c.scrollLeft||0)-(e&&e.clientLeft||c&&c.clientLeft||0),a.pageY=b.clientY+(e&&e.scrollTop||c&&c.scrollTop||0)-(e&&e.clientTop||c&&c.clientTop||0)),!a.relatedTarget&&g&&(a.relatedTarget=g===a.target?b.toElement:g),a.which||void 0===f||(a.which=1&f?1:2&f?3:4&f?2:0),a}},special:{load:{noBubble:!0},focus:{trigger:function(){if(this!==ca()&&this.focus)try{return this.focus(),!1}catch(a){}},delegateType:"focusin"},blur:{trigger:function(){return this===ca()&&this.blur?(this.blur(),!1):void 0},delegateType:"focusout"},click:{trigger:function(){return m.nodeName(this,"input")&&"checkbox"===this.type&&this.click?(this.click(),!1):void 0},_default:function(a){return m.nodeName(a.target,"a")}},beforeunload:{postDispatch:function(a){void 0!==a.result&&a.originalEvent&&(a.originalEvent.returnValue=a.result)}}},simulate:function(a,b,c,d){var e=m.extend(new m.Event,c,{type:a,isSimulated:!0,originalEvent:{}});d?m.event.trigger(e,null,b):m.event.dispatch.call(b,e),e.isDefaultPrevented()&&c.preventDefault()}},m.removeEvent=y.removeEventListener?function(a,b,c){a.removeEventListener&&a.removeEventListener(b,c,!1)}:function(a,b,c){var d="on"+b;a.detachEvent&&(typeof a[d]===K&&(a[d]=null),a.detachEvent(d,c))},m.Event=function(a,b){return this instanceof m.Event?(a&&a.type?(this.originalEvent=a,this.type=a.type,this.isDefaultPrevented=a.defaultPrevented||void 0===a.defaultPrevented&&a.returnValue===!1?aa:ba):this.type=a,b&&m.extend(this,b),this.timeStamp=a&&a.timeStamp||m.now(),void(this[m.expando]=!0)):new m.Event(a,b)},m.Event.prototype={isDefaultPrevented:ba,isPropagationStopped:ba,isImmediatePropagationStopped:ba,preventDefault:function(){var a=this.originalEvent;this.isDefaultPrevented=aa,a&&(a.preventDefault?a.preventDefault():a.returnValue=!1)},stopPropagation:function(){var a=this.originalEvent;this.isPropagationStopped=aa,a&&(a.stopPropagation&&a.stopPropagation(),a.cancelBubble=!0)},stopImmediatePropagation:function(){var a=this.originalEvent;this.isImmediatePropagationStopped=aa,a&&a.stopImmediatePropagation&&a.stopImmediatePropagation(),this.stopPropagation()}},m.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(a,b){m.event.special[a]={delegateType:b,bindType:b,handle:function(a){var c,d=this,e=a.relatedTarget,f=a.handleObj;return(!e||e!==d&&!m.contains(d,e))&&(a.type=f.origType,c=f.handler.apply(this,arguments),a.type=b),c}}}),k.submitBubbles||(m.event.special.submit={setup:function(){return m.nodeName(this,"form")?!1:void m.event.add(this,"click._submit keypress._submit",function(a){var b=a.target,c=m.nodeName(b,"input")||m.nodeName(b,"button")?b.form:void 0;c&&!m._data(c,"submitBubbles")&&(m.event.add(c,"submit._submit",function(a){a._submit_bubble=!0}),m._data(c,"submitBubbles",!0))})},postDispatch:function(a){a._submit_bubble&&(delete a._submit_bubble,this.parentNode&&!a.isTrigger&&m.event.simulate("submit",this.parentNode,a,!0))},teardown:function(){return m.nodeName(this,"form")?!1:void m.event.remove(this,"._submit")}}),k.changeBubbles||(m.event.special.change={setup:function(){return X.test(this.nodeName)?(("checkbox"===this.type||"radio"===this.type)&&(m.event.add(this,"propertychange._change",function(a){"checked"===a.originalEvent.propertyName&&(this._just_changed=!0)}),m.event.add(this,"click._change",function(a){this._just_changed&&!a.isTrigger&&(this._just_changed=!1),m.event.simulate("change",this,a,!0)})),!1):void m.event.add(this,"beforeactivate._change",function(a){var b=a.target;X.test(b.nodeName)&&!m._data(b,"changeBubbles")&&(m.event.add(b,"change._change",function(a){!this.parentNode||a.isSimulated||a.isTrigger||m.event.simulate("change",this.parentNode,a,!0)}),m._data(b,"changeBubbles",!0))})},handle:function(a){var b=a.target;return this!==b||a.isSimulated||a.isTrigger||"radio"!==b.type&&"checkbox"!==b.type?a.handleObj.handler.apply(this,arguments):void 0},teardown:function(){return m.event.remove(this,"._change"),!X.test(this.nodeName)}}),k.focusinBubbles||m.each({focus:"focusin",blur:"focusout"},function(a,b){var c=function(a){m.event.simulate(b,a.target,m.event.fix(a),!0)};m.event.special[b]={setup:function(){var d=this.ownerDocument||this,e=m._data(d,b);e||d.addEventListener(a,c,!0),m._data(d,b,(e||0)+1)},teardown:function(){var d=this.ownerDocument||this,e=m._data(d,b)-1;e?m._data(d,b,e):(d.removeEventListener(a,c,!0),m._removeData(d,b))}}}),m.fn.extend({on:function(a,b,c,d,e){var f,g;if("object"==typeof a){"string"!=typeof b&&(c=c||b,b=void 0);for(f in a)this.on(f,b,c,a[f],e);return this}if(null==c&&null==d?(d=b,c=b=void 0):null==d&&("string"==typeof b?(d=c,c=void 0):(d=c,c=b,b=void 0)),d===!1)d=ba;else if(!d)return this;return 1===e&&(g=d,d=function(a){return m().off(a),g.apply(this,arguments)},d.guid=g.guid||(g.guid=m.guid++)),this.each(function(){m.event.add(this,a,d,c,b)})},one:function(a,b,c,d){return this.on(a,b,c,d,1)},off:function(a,b,c){var d,e;if(a&&a.preventDefault&&a.handleObj)return d=a.handleObj,m(a.delegateTarget).off(d.namespace?d.origType+"."+d.namespace:d.origType,d.selector,d.handler),this;if("object"==typeof a){for(e in a)this.off(e,b,a[e]);return this}return(b===!1||"function"==typeof b)&&(c=b,b=void 0),c===!1&&(c=ba),this.each(function(){m.event.remove(this,a,c,b)})},trigger:function(a,b){return this.each(function(){m.event.trigger(a,b,this)})},triggerHandler:function(a,b){var c=this[0];return c?m.event.trigger(a,b,c,!0):void 0}});function da(a){var b=ea.split("|"),c=a.createDocumentFragment();if(c.createElement)while(b.length)c.createElement(b.pop());return c}var ea="abbr|article|aside|audio|bdi|canvas|data|datalist|details|figcaption|figure|footer|header|hgroup|mark|meter|nav|output|progress|section|summary|time|video",fa=/ jQuery\d+="(?:null|\d+)"/g,ga=new RegExp("<(?:"+ea+")[\\s/>]","i"),ha=/^\s+/,ia=/<(?!area|br|col|embed|hr|img|input|link|meta|param)(([\w:]+)[^>]*)\/>/gi,ja=/<([\w:]+)/,ka=/<tbody/i,la=/<|&#?\w+;/,ma=/<(?:script|style|link)/i,na=/checked\s*(?:[^=]|=\s*.checked.)/i,oa=/^$|\/(?:java|ecma)script/i,pa=/^true\/(.*)/,qa=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g,ra={option:[1,"<select multiple='multiple'>","</select>"],legend:[1,"<fieldset>","</fieldset>"],area:[1,"<map>","</map>"],param:[1,"<object>","</object>"],thead:[1,"<table>","</table>"],tr:[2,"<table><tbody>","</tbody></table>"],col:[2,"<table><tbody></tbody><colgroup>","</colgroup></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:k.htmlSerialize?[0,"",""]:[1,"X<div>","</div>"]},sa=da(y),ta=sa.appendChild(y.createElement("div"));ra.optgroup=ra.option,ra.tbody=ra.tfoot=ra.colgroup=ra.caption=ra.thead,ra.th=ra.td;function ua(a,b){var c,d,e=0,f=typeof a.getElementsByTagName!==K?a.getElementsByTagName(b||"*"):typeof a.querySelectorAll!==K?a.querySelectorAll(b||"*"):void 0;if(!f)for(f=[],c=a.childNodes||a;null!=(d=c[e]);e++)!b||m.nodeName(d,b)?f.push(d):m.merge(f,ua(d,b));return void 0===b||b&&m.nodeName(a,b)?m.merge([a],f):f}function va(a){W.test(a.type)&&(a.defaultChecked=a.checked)}function wa(a,b){return m.nodeName(a,"table")&&m.nodeName(11!==b.nodeType?b:b.firstChild,"tr")?a.getElementsByTagName("tbody")[0]||a.appendChild(a.ownerDocument.createElement("tbody")):a}function xa(a){return a.type=(null!==m.find.attr(a,"type"))+"/"+a.type,a}function ya(a){var b=pa.exec(a.type);return b?a.type=b[1]:a.removeAttribute("type"),a}function za(a,b){for(var c,d=0;null!=(c=a[d]);d++)m._data(c,"globalEval",!b||m._data(b[d],"globalEval"))}function Aa(a,b){if(1===b.nodeType&&m.hasData(a)){var c,d,e,f=m._data(a),g=m._data(b,f),h=f.events;if(h){delete g.handle,g.events={};for(c in h)for(d=0,e=h[c].length;e>d;d++)m.event.add(b,c,h[c][d])}g.data&&(g.data=m.extend({},g.data))}}function Ba(a,b){var c,d,e;if(1===b.nodeType){if(c=b.nodeName.toLowerCase(),!k.noCloneEvent&&b[m.expando]){e=m._data(b);for(d in e.events)m.removeEvent(b,d,e.handle);b.removeAttribute(m.expando)}"script"===c&&b.text!==a.text?(xa(b).text=a.text,ya(b)):"object"===c?(b.parentNode&&(b.outerHTML=a.outerHTML),k.html5Clone&&a.innerHTML&&!m.trim(b.innerHTML)&&(b.innerHTML=a.innerHTML)):"input"===c&&W.test(a.type)?(b.defaultChecked=b.checked=a.checked,b.value!==a.value&&(b.value=a.value)):"option"===c?b.defaultSelected=b.selected=a.defaultSelected:("input"===c||"textarea"===c)&&(b.defaultValue=a.defaultValue)}}m.extend({clone:function(a,b,c){var d,e,f,g,h,i=m.contains(a.ownerDocument,a);if(k.html5Clone||m.isXMLDoc(a)||!ga.test("<"+a.nodeName+">")?f=a.cloneNode(!0):(ta.innerHTML=a.outerHTML,ta.removeChild(f=ta.firstChild)),!(k.noCloneEvent&&k.noCloneChecked||1!==a.nodeType&&11!==a.nodeType||m.isXMLDoc(a)))for(d=ua(f),h=ua(a),g=0;null!=(e=h[g]);++g)d[g]&&Ba(e,d[g]);if(b)if(c)for(h=h||ua(a),d=d||ua(f),g=0;null!=(e=h[g]);g++)Aa(e,d[g]);else Aa(a,f);return d=ua(f,"script"),d.length>0&&za(d,!i&&ua(a,"script")),d=h=e=null,f},buildFragment:function(a,b,c,d){for(var e,f,g,h,i,j,l,n=a.length,o=da(b),p=[],q=0;n>q;q++)if(f=a[q],f||0===f)if("object"===m.type(f))m.merge(p,f.nodeType?[f]:f);else if(la.test(f)){h=h||o.appendChild(b.createElement("div")),i=(ja.exec(f)||["",""])[1].toLowerCase(),l=ra[i]||ra._default,h.innerHTML=l[1]+f.replace(ia,"<$1></$2>")+l[2],e=l[0];while(e--)h=h.lastChild;if(!k.leadingWhitespace&&ha.test(f)&&p.push(b.createTextNode(ha.exec(f)[0])),!k.tbody){f="table"!==i||ka.test(f)?"<table>"!==l[1]||ka.test(f)?0:h:h.firstChild,e=f&&f.childNodes.length;while(e--)m.nodeName(j=f.childNodes[e],"tbody")&&!j.childNodes.length&&f.removeChild(j)}m.merge(p,h.childNodes),h.textContent="";while(h.firstChild)h.removeChild(h.firstChild);h=o.lastChild}else p.push(b.createTextNode(f));h&&o.removeChild(h),k.appendChecked||m.grep(ua(p,"input"),va),q=0;while(f=p[q++])if((!d||-1===m.inArray(f,d))&&(g=m.contains(f.ownerDocument,f),h=ua(o.appendChild(f),"script"),g&&za(h),c)){e=0;while(f=h[e++])oa.test(f.type||"")&&c.push(f)}return h=null,o},cleanData:function(a,b){for(var d,e,f,g,h=0,i=m.expando,j=m.cache,l=k.deleteExpando,n=m.event.special;null!=(d=a[h]);h++)if((b||m.acceptData(d))&&(f=d[i],g=f&&j[f])){if(g.events)for(e in g.events)n[e]?m.event.remove(d,e):m.removeEvent(d,e,g.handle);j[f]&&(delete j[f],l?delete d[i]:typeof d.removeAttribute!==K?d.removeAttribute(i):d[i]=null,c.push(f))}}}),m.fn.extend({text:function(a){return V(this,function(a){return void 0===a?m.text(this):this.empty().append((this[0]&&this[0].ownerDocument||y).createTextNode(a))},null,a,arguments.length)},append:function(){return this.domManip(arguments,function(a){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var b=wa(this,a);b.appendChild(a)}})},prepend:function(){return this.domManip(arguments,function(a){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var b=wa(this,a);b.insertBefore(a,b.firstChild)}})},before:function(){return this.domManip(arguments,function(a){this.parentNode&&this.parentNode.insertBefore(a,this)})},after:function(){return this.domManip(arguments,function(a){this.parentNode&&this.parentNode.insertBefore(a,this.nextSibling)})},remove:function(a,b){for(var c,d=a?m.filter(a,this):this,e=0;null!=(c=d[e]);e++)b||1!==c.nodeType||m.cleanData(ua(c)),c.parentNode&&(b&&m.contains(c.ownerDocument,c)&&za(ua(c,"script")),c.parentNode.removeChild(c));return this},empty:function(){for(var a,b=0;null!=(a=this[b]);b++){1===a.nodeType&&m.cleanData(ua(a,!1));while(a.firstChild)a.removeChild(a.firstChild);a.options&&m.nodeName(a,"select")&&(a.options.length=0)}return this},clone:function(a,b){return a=null==a?!1:a,b=null==b?a:b,this.map(function(){return m.clone(this,a,b)})},html:function(a){return V(this,function(a){var b=this[0]||{},c=0,d=this.length;if(void 0===a)return 1===b.nodeType?b.innerHTML.replace(fa,""):void 0;if(!("string"!=typeof a||ma.test(a)||!k.htmlSerialize&&ga.test(a)||!k.leadingWhitespace&&ha.test(a)||ra[(ja.exec(a)||["",""])[1].toLowerCase()])){a=a.replace(ia,"<$1></$2>");try{for(;d>c;c++)b=this[c]||{},1===b.nodeType&&(m.cleanData(ua(b,!1)),b.innerHTML=a);b=0}catch(e){}}b&&this.empty().append(a)},null,a,arguments.length)},replaceWith:function(){var a=arguments[0];return this.domManip(arguments,function(b){a=this.parentNode,m.cleanData(ua(this)),a&&a.replaceChild(b,this)}),a&&(a.length||a.nodeType)?this:this.remove()},detach:function(a){return this.remove(a,!0)},domManip:function(a,b){a=e.apply([],a);var c,d,f,g,h,i,j=0,l=this.length,n=this,o=l-1,p=a[0],q=m.isFunction(p);if(q||l>1&&"string"==typeof p&&!k.checkClone&&na.test(p))return this.each(function(c){var d=n.eq(c);q&&(a[0]=p.call(this,c,d.html())),d.domManip(a,b)});if(l&&(i=m.buildFragment(a,this[0].ownerDocument,!1,this),c=i.firstChild,1===i.childNodes.length&&(i=c),c)){for(g=m.map(ua(i,"script"),xa),f=g.length;l>j;j++)d=i,j!==o&&(d=m.clone(d,!0,!0),f&&m.merge(g,ua(d,"script"))),b.call(this[j],d,j);if(f)for(h=g[g.length-1].ownerDocument,m.map(g,ya),j=0;f>j;j++)d=g[j],oa.test(d.type||"")&&!m._data(d,"globalEval")&&m.contains(h,d)&&(d.src?m._evalUrl&&m._evalUrl(d.src):m.globalEval((d.text||d.textContent||d.innerHTML||"").replace(qa,"")));i=c=null}return this}}),m.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(a,b){m.fn[a]=function(a){for(var c,d=0,e=[],g=m(a),h=g.length-1;h>=d;d++)c=d===h?this:this.clone(!0),m(g[d])[b](c),f.apply(e,c.get());return this.pushStack(e)}});var Ca,Da={};function Ea(b,c){var d,e=m(c.createElement(b)).appendTo(c.body),f=a.getDefaultComputedStyle&&(d=a.getDefaultComputedStyle(e[0]))?d.display:m.css(e[0],"display");return e.detach(),f}function Fa(a){var b=y,c=Da[a];return c||(c=Ea(a,b),"none"!==c&&c||(Ca=(Ca||m("<iframe frameborder='0' width='0' height='0'/>")).appendTo(b.documentElement),b=(Ca[0].contentWindow||Ca[0].contentDocument).document,b.write(),b.close(),c=Ea(a,b),Ca.detach()),Da[a]=c),c}!function(){var a;k.shrinkWrapBlocks=function(){if(null!=a)return a;a=!1;var b,c,d;return c=y.getElementsByTagName("body")[0],c&&c.style?(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),typeof b.style.zoom!==K&&(b.style.cssText="-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;display:block;margin:0;border:0;padding:1px;width:1px;zoom:1",b.appendChild(y.createElement("div")).style.width="5px",a=3!==b.offsetWidth),c.removeChild(d),a):void 0}}();var Ga=/^margin/,Ha=new RegExp("^("+S+")(?!px)[a-z%]+$","i"),Ia,Ja,Ka=/^(top|right|bottom|left)$/;a.getComputedStyle?(Ia=function(b){return b.ownerDocument.defaultView.opener?b.ownerDocument.defaultView.getComputedStyle(b,null):a.getComputedStyle(b,null)},Ja=function(a,b,c){var d,e,f,g,h=a.style;return c=c||Ia(a),g=c?c.getPropertyValue(b)||c[b]:void 0,c&&(""!==g||m.contains(a.ownerDocument,a)||(g=m.style(a,b)),Ha.test(g)&&Ga.test(b)&&(d=h.width,e=h.minWidth,f=h.maxWidth,h.minWidth=h.maxWidth=h.width=g,g=c.width,h.width=d,h.minWidth=e,h.maxWidth=f)),void 0===g?g:g+""}):y.documentElement.currentStyle&&(Ia=function(a){return a.currentStyle},Ja=function(a,b,c){var d,e,f,g,h=a.style;return c=c||Ia(a),g=c?c[b]:void 0,null==g&&h&&h[b]&&(g=h[b]),Ha.test(g)&&!Ka.test(b)&&(d=h.left,e=a.runtimeStyle,f=e&&e.left,f&&(e.left=a.currentStyle.left),h.left="fontSize"===b?"1em":g,g=h.pixelLeft+"px",h.left=d,f&&(e.left=f)),void 0===g?g:g+""||"auto"});function La(a,b){return{get:function(){var c=a();if(null!=c)return c?void delete this.get:(this.get=b).apply(this,arguments)}}}!function(){var b,c,d,e,f,g,h;if(b=y.createElement("div"),b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",d=b.getElementsByTagName("a")[0],c=d&&d.style){c.cssText="float:left;opacity:.5",k.opacity="0.5"===c.opacity,k.cssFloat=!!c.cssFloat,b.style.backgroundClip="content-box",b.cloneNode(!0).style.backgroundClip="",k.clearCloneStyle="content-box"===b.style.backgroundClip,k.boxSizing=""===c.boxSizing||""===c.MozBoxSizing||""===c.WebkitBoxSizing,m.extend(k,{reliableHiddenOffsets:function(){return null==g&&i(),g},boxSizingReliable:function(){return null==f&&i(),f},pixelPosition:function(){return null==e&&i(),e},reliableMarginRight:function(){return null==h&&i(),h}});function i(){var b,c,d,i;c=y.getElementsByTagName("body")[0],c&&c.style&&(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),b.style.cssText="-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;display:block;margin-top:1%;top:1%;border:1px;padding:1px;width:4px;position:absolute",e=f=!1,h=!0,a.getComputedStyle&&(e="1%"!==(a.getComputedStyle(b,null)||{}).top,f="4px"===(a.getComputedStyle(b,null)||{width:"4px"}).width,i=b.appendChild(y.createElement("div")),i.style.cssText=b.style.cssText="-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;display:block;margin:0;border:0;padding:0",i.style.marginRight=i.style.width="0",b.style.width="1px",h=!parseFloat((a.getComputedStyle(i,null)||{}).marginRight),b.removeChild(i)),b.innerHTML="<table><tr><td></td><td>t</td></tr></table>",i=b.getElementsByTagName("td"),i[0].style.cssText="margin:0;border:0;padding:0;display:none",g=0===i[0].offsetHeight,g&&(i[0].style.display="",i[1].style.display="none",g=0===i[0].offsetHeight),c.removeChild(d))}}}(),m.swap=function(a,b,c,d){var e,f,g={};for(f in b)g[f]=a.style[f],a.style[f]=b[f];e=c.apply(a,d||[]);for(f in b)a.style[f]=g[f];return e};var Ma=/alpha\([^)]*\)/i,Na=/opacity\s*=\s*([^)]*)/,Oa=/^(none|table(?!-c[ea]).+)/,Pa=new RegExp("^("+S+")(.*)$","i"),Qa=new RegExp("^([+-])=("+S+")","i"),Ra={position:"absolute",visibility:"hidden",display:"block"},Sa={letterSpacing:"0",fontWeight:"400"},Ta=["Webkit","O","Moz","ms"];function Ua(a,b){if(b in a)return b;var c=b.charAt(0).toUpperCase()+b.slice(1),d=b,e=Ta.length;while(e--)if(b=Ta[e]+c,b in a)return b;return d}function Va(a,b){for(var c,d,e,f=[],g=0,h=a.length;h>g;g++)d=a[g],d.style&&(f[g]=m._data(d,"olddisplay"),c=d.style.display,b?(f[g]||"none"!==c||(d.style.display=""),""===d.style.display&&U(d)&&(f[g]=m._data(d,"olddisplay",Fa(d.nodeName)))):(e=U(d),(c&&"none"!==c||!e)&&m._data(d,"olddisplay",e?c:m.css(d,"display"))));for(g=0;h>g;g++)d=a[g],d.style&&(b&&"none"!==d.style.display&&""!==d.style.display||(d.style.display=b?f[g]||"":"none"));return a}function Wa(a,b,c){var d=Pa.exec(b);return d?Math.max(0,d[1]-(c||0))+(d[2]||"px"):b}function Xa(a,b,c,d,e){for(var f=c===(d?"border":"content")?4:"width"===b?1:0,g=0;4>f;f+=2)"margin"===c&&(g+=m.css(a,c+T[f],!0,e)),d?("content"===c&&(g-=m.css(a,"padding"+T[f],!0,e)),"margin"!==c&&(g-=m.css(a,"border"+T[f]+"Width",!0,e))):(g+=m.css(a,"padding"+T[f],!0,e),"padding"!==c&&(g+=m.css(a,"border"+T[f]+"Width",!0,e)));return g}function Ya(a,b,c){var d=!0,e="width"===b?a.offsetWidth:a.offsetHeight,f=Ia(a),g=k.boxSizing&&"border-box"===m.css(a,"boxSizing",!1,f);if(0>=e||null==e){if(e=Ja(a,b,f),(0>e||null==e)&&(e=a.style[b]),Ha.test(e))return e;d=g&&(k.boxSizingReliable()||e===a.style[b]),e=parseFloat(e)||0}return e+Xa(a,b,c||(g?"border":"content"),d,f)+"px"}m.extend({cssHooks:{opacity:{get:function(a,b){if(b){var c=Ja(a,"opacity");return""===c?"1":c}}}},cssNumber:{columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{"float":k.cssFloat?"cssFloat":"styleFloat"},style:function(a,b,c,d){if(a&&3!==a.nodeType&&8!==a.nodeType&&a.style){var e,f,g,h=m.camelCase(b),i=a.style;if(b=m.cssProps[h]||(m.cssProps[h]=Ua(i,h)),g=m.cssHooks[b]||m.cssHooks[h],void 0===c)return g&&"get"in g&&void 0!==(e=g.get(a,!1,d))?e:i[b];if(f=typeof c,"string"===f&&(e=Qa.exec(c))&&(c=(e[1]+1)*e[2]+parseFloat(m.css(a,b)),f="number"),null!=c&&c===c&&("number"!==f||m.cssNumber[h]||(c+="px"),k.clearCloneStyle||""!==c||0!==b.indexOf("background")||(i[b]="inherit"),!(g&&"set"in g&&void 0===(c=g.set(a,c,d)))))try{i[b]=c}catch(j){}}},css:function(a,b,c,d){var e,f,g,h=m.camelCase(b);return b=m.cssProps[h]||(m.cssProps[h]=Ua(a.style,h)),g=m.cssHooks[b]||m.cssHooks[h],g&&"get"in g&&(f=g.get(a,!0,c)),void 0===f&&(f=Ja(a,b,d)),"normal"===f&&b in Sa&&(f=Sa[b]),""===c||c?(e=parseFloat(f),c===!0||m.isNumeric(e)?e||0:f):f}}),m.each(["height","width"],function(a,b){m.cssHooks[b]={get:function(a,c,d){return c?Oa.test(m.css(a,"display"))&&0===a.offsetWidth?m.swap(a,Ra,function(){return Ya(a,b,d)}):Ya(a,b,d):void 0},set:function(a,c,d){var e=d&&Ia(a);return Wa(a,c,d?Xa(a,b,d,k.boxSizing&&"border-box"===m.css(a,"boxSizing",!1,e),e):0)}}}),k.opacity||(m.cssHooks.opacity={get:function(a,b){return Na.test((b&&a.currentStyle?a.currentStyle.filter:a.style.filter)||"")?.01*parseFloat(RegExp.$1)+"":b?"1":""},set:function(a,b){var c=a.style,d=a.currentStyle,e=m.isNumeric(b)?"alpha(opacity="+100*b+")":"",f=d&&d.filter||c.filter||"";c.zoom=1,(b>=1||""===b)&&""===m.trim(f.replace(Ma,""))&&c.removeAttribute&&(c.removeAttribute("filter"),""===b||d&&!d.filter)||(c.filter=Ma.test(f)?f.replace(Ma,e):f+" "+e)}}),m.cssHooks.marginRight=La(k.reliableMarginRight,function(a,b){return b?m.swap(a,{display:"inline-block"},Ja,[a,"marginRight"]):void 0}),m.each({margin:"",padding:"",border:"Width"},function(a,b){m.cssHooks[a+b]={expand:function(c){for(var d=0,e={},f="string"==typeof c?c.split(" "):[c];4>d;d++)e[a+T[d]+b]=f[d]||f[d-2]||f[0];return e}},Ga.test(a)||(m.cssHooks[a+b].set=Wa)}),m.fn.extend({css:function(a,b){return V(this,function(a,b,c){var d,e,f={},g=0;if(m.isArray(b)){for(d=Ia(a),e=b.length;e>g;g++)f[b[g]]=m.css(a,b[g],!1,d);return f}return void 0!==c?m.style(a,b,c):m.css(a,b)},a,b,arguments.length>1)},show:function(){return Va(this,!0)},hide:function(){return Va(this)},toggle:function(a){return"boolean"==typeof a?a?this.show():this.hide():this.each(function(){U(this)?m(this).show():m(this).hide()})}});function Za(a,b,c,d,e){
-return new Za.prototype.init(a,b,c,d,e)}m.Tween=Za,Za.prototype={constructor:Za,init:function(a,b,c,d,e,f){this.elem=a,this.prop=c,this.easing=e||"swing",this.options=b,this.start=this.now=this.cur(),this.end=d,this.unit=f||(m.cssNumber[c]?"":"px")},cur:function(){var a=Za.propHooks[this.prop];return a&&a.get?a.get(this):Za.propHooks._default.get(this)},run:function(a){var b,c=Za.propHooks[this.prop];return this.options.duration?this.pos=b=m.easing[this.easing](a,this.options.duration*a,0,1,this.options.duration):this.pos=b=a,this.now=(this.end-this.start)*b+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),c&&c.set?c.set(this):Za.propHooks._default.set(this),this}},Za.prototype.init.prototype=Za.prototype,Za.propHooks={_default:{get:function(a){var b;return null==a.elem[a.prop]||a.elem.style&&null!=a.elem.style[a.prop]?(b=m.css(a.elem,a.prop,""),b&&"auto"!==b?b:0):a.elem[a.prop]},set:function(a){m.fx.step[a.prop]?m.fx.step[a.prop](a):a.elem.style&&(null!=a.elem.style[m.cssProps[a.prop]]||m.cssHooks[a.prop])?m.style(a.elem,a.prop,a.now+a.unit):a.elem[a.prop]=a.now}}},Za.propHooks.scrollTop=Za.propHooks.scrollLeft={set:function(a){a.elem.nodeType&&a.elem.parentNode&&(a.elem[a.prop]=a.now)}},m.easing={linear:function(a){return a},swing:function(a){return.5-Math.cos(a*Math.PI)/2}},m.fx=Za.prototype.init,m.fx.step={};var $a,_a,ab=/^(?:toggle|show|hide)$/,bb=new RegExp("^(?:([+-])=|)("+S+")([a-z%]*)$","i"),cb=/queueHooks$/,db=[ib],eb={"*":[function(a,b){var c=this.createTween(a,b),d=c.cur(),e=bb.exec(b),f=e&&e[3]||(m.cssNumber[a]?"":"px"),g=(m.cssNumber[a]||"px"!==f&&+d)&&bb.exec(m.css(c.elem,a)),h=1,i=20;if(g&&g[3]!==f){f=f||g[3],e=e||[],g=+d||1;do h=h||".5",g/=h,m.style(c.elem,a,g+f);while(h!==(h=c.cur()/d)&&1!==h&&--i)}return e&&(g=c.start=+g||+d||0,c.unit=f,c.end=e[1]?g+(e[1]+1)*e[2]:+e[2]),c}]};function fb(){return setTimeout(function(){$a=void 0}),$a=m.now()}function gb(a,b){var c,d={height:a},e=0;for(b=b?1:0;4>e;e+=2-b)c=T[e],d["margin"+c]=d["padding"+c]=a;return b&&(d.opacity=d.width=a),d}function hb(a,b,c){for(var d,e=(eb[b]||[]).concat(eb["*"]),f=0,g=e.length;g>f;f++)if(d=e[f].call(c,b,a))return d}function ib(a,b,c){var d,e,f,g,h,i,j,l,n=this,o={},p=a.style,q=a.nodeType&&U(a),r=m._data(a,"fxshow");c.queue||(h=m._queueHooks(a,"fx"),null==h.unqueued&&(h.unqueued=0,i=h.empty.fire,h.empty.fire=function(){h.unqueued||i()}),h.unqueued++,n.always(function(){n.always(function(){h.unqueued--,m.queue(a,"fx").length||h.empty.fire()})})),1===a.nodeType&&("height"in b||"width"in b)&&(c.overflow=[p.overflow,p.overflowX,p.overflowY],j=m.css(a,"display"),l="none"===j?m._data(a,"olddisplay")||Fa(a.nodeName):j,"inline"===l&&"none"===m.css(a,"float")&&(k.inlineBlockNeedsLayout&&"inline"!==Fa(a.nodeName)?p.zoom=1:p.display="inline-block")),c.overflow&&(p.overflow="hidden",k.shrinkWrapBlocks()||n.always(function(){p.overflow=c.overflow[0],p.overflowX=c.overflow[1],p.overflowY=c.overflow[2]}));for(d in b)if(e=b[d],ab.exec(e)){if(delete b[d],f=f||"toggle"===e,e===(q?"hide":"show")){if("show"!==e||!r||void 0===r[d])continue;q=!0}o[d]=r&&r[d]||m.style(a,d)}else j=void 0;if(m.isEmptyObject(o))"inline"===("none"===j?Fa(a.nodeName):j)&&(p.display=j);else{r?"hidden"in r&&(q=r.hidden):r=m._data(a,"fxshow",{}),f&&(r.hidden=!q),q?m(a).show():n.done(function(){m(a).hide()}),n.done(function(){var b;m._removeData(a,"fxshow");for(b in o)m.style(a,b,o[b])});for(d in o)g=hb(q?r[d]:0,d,n),d in r||(r[d]=g.start,q&&(g.end=g.start,g.start="width"===d||"height"===d?1:0))}}function jb(a,b){var c,d,e,f,g;for(c in a)if(d=m.camelCase(c),e=b[d],f=a[c],m.isArray(f)&&(e=f[1],f=a[c]=f[0]),c!==d&&(a[d]=f,delete a[c]),g=m.cssHooks[d],g&&"expand"in g){f=g.expand(f),delete a[d];for(c in f)c in a||(a[c]=f[c],b[c]=e)}else b[d]=e}function kb(a,b,c){var d,e,f=0,g=db.length,h=m.Deferred().always(function(){delete i.elem}),i=function(){if(e)return!1;for(var b=$a||fb(),c=Math.max(0,j.startTime+j.duration-b),d=c/j.duration||0,f=1-d,g=0,i=j.tweens.length;i>g;g++)j.tweens[g].run(f);return h.notifyWith(a,[j,f,c]),1>f&&i?c:(h.resolveWith(a,[j]),!1)},j=h.promise({elem:a,props:m.extend({},b),opts:m.extend(!0,{specialEasing:{}},c),originalProperties:b,originalOptions:c,startTime:$a||fb(),duration:c.duration,tweens:[],createTween:function(b,c){var d=m.Tween(a,j.opts,b,c,j.opts.specialEasing[b]||j.opts.easing);return j.tweens.push(d),d},stop:function(b){var c=0,d=b?j.tweens.length:0;if(e)return this;for(e=!0;d>c;c++)j.tweens[c].run(1);return b?h.resolveWith(a,[j,b]):h.rejectWith(a,[j,b]),this}}),k=j.props;for(jb(k,j.opts.specialEasing);g>f;f++)if(d=db[f].call(j,a,k,j.opts))return d;return m.map(k,hb,j),m.isFunction(j.opts.start)&&j.opts.start.call(a,j),m.fx.timer(m.extend(i,{elem:a,anim:j,queue:j.opts.queue})),j.progress(j.opts.progress).done(j.opts.done,j.opts.complete).fail(j.opts.fail).always(j.opts.always)}m.Animation=m.extend(kb,{tweener:function(a,b){m.isFunction(a)?(b=a,a=["*"]):a=a.split(" ");for(var c,d=0,e=a.length;e>d;d++)c=a[d],eb[c]=eb[c]||[],eb[c].unshift(b)},prefilter:function(a,b){b?db.unshift(a):db.push(a)}}),m.speed=function(a,b,c){var d=a&&"object"==typeof a?m.extend({},a):{complete:c||!c&&b||m.isFunction(a)&&a,duration:a,easing:c&&b||b&&!m.isFunction(b)&&b};return d.duration=m.fx.off?0:"number"==typeof d.duration?d.duration:d.duration in m.fx.speeds?m.fx.speeds[d.duration]:m.fx.speeds._default,(null==d.queue||d.queue===!0)&&(d.queue="fx"),d.old=d.complete,d.complete=function(){m.isFunction(d.old)&&d.old.call(this),d.queue&&m.dequeue(this,d.queue)},d},m.fn.extend({fadeTo:function(a,b,c,d){return this.filter(U).css("opacity",0).show().end().animate({opacity:b},a,c,d)},animate:function(a,b,c,d){var e=m.isEmptyObject(a),f=m.speed(b,c,d),g=function(){var b=kb(this,m.extend({},a),f);(e||m._data(this,"finish"))&&b.stop(!0)};return g.finish=g,e||f.queue===!1?this.each(g):this.queue(f.queue,g)},stop:function(a,b,c){var d=function(a){var b=a.stop;delete a.stop,b(c)};return"string"!=typeof a&&(c=b,b=a,a=void 0),b&&a!==!1&&this.queue(a||"fx",[]),this.each(function(){var b=!0,e=null!=a&&a+"queueHooks",f=m.timers,g=m._data(this);if(e)g[e]&&g[e].stop&&d(g[e]);else for(e in g)g[e]&&g[e].stop&&cb.test(e)&&d(g[e]);for(e=f.length;e--;)f[e].elem!==this||null!=a&&f[e].queue!==a||(f[e].anim.stop(c),b=!1,f.splice(e,1));(b||!c)&&m.dequeue(this,a)})},finish:function(a){return a!==!1&&(a=a||"fx"),this.each(function(){var b,c=m._data(this),d=c[a+"queue"],e=c[a+"queueHooks"],f=m.timers,g=d?d.length:0;for(c.finish=!0,m.queue(this,a,[]),e&&e.stop&&e.stop.call(this,!0),b=f.length;b--;)f[b].elem===this&&f[b].queue===a&&(f[b].anim.stop(!0),f.splice(b,1));for(b=0;g>b;b++)d[b]&&d[b].finish&&d[b].finish.call(this);delete c.finish})}}),m.each(["toggle","show","hide"],function(a,b){var c=m.fn[b];m.fn[b]=function(a,d,e){return null==a||"boolean"==typeof a?c.apply(this,arguments):this.animate(gb(b,!0),a,d,e)}}),m.each({slideDown:gb("show"),slideUp:gb("hide"),slideToggle:gb("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(a,b){m.fn[a]=function(a,c,d){return this.animate(b,a,c,d)}}),m.timers=[],m.fx.tick=function(){var a,b=m.timers,c=0;for($a=m.now();c<b.length;c++)a=b[c],a()||b[c]!==a||b.splice(c--,1);b.length||m.fx.stop(),$a=void 0},m.fx.timer=function(a){m.timers.push(a),a()?m.fx.start():m.timers.pop()},m.fx.interval=13,m.fx.start=function(){_a||(_a=setInterval(m.fx.tick,m.fx.interval))},m.fx.stop=function(){clearInterval(_a),_a=null},m.fx.speeds={slow:600,fast:200,_default:400},m.fn.delay=function(a,b){return a=m.fx?m.fx.speeds[a]||a:a,b=b||"fx",this.queue(b,function(b,c){var d=setTimeout(b,a);c.stop=function(){clearTimeout(d)}})},function(){var a,b,c,d,e;b=y.createElement("div"),b.setAttribute("className","t"),b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",d=b.getElementsByTagName("a")[0],c=y.createElement("select"),e=c.appendChild(y.createElement("option")),a=b.getElementsByTagName("input")[0],d.style.cssText="top:1px",k.getSetAttribute="t"!==b.className,k.style=/top/.test(d.getAttribute("style")),k.hrefNormalized="/a"===d.getAttribute("href"),k.checkOn=!!a.value,k.optSelected=e.selected,k.enctype=!!y.createElement("form").enctype,c.disabled=!0,k.optDisabled=!e.disabled,a=y.createElement("input"),a.setAttribute("value",""),k.input=""===a.getAttribute("value"),a.value="t",a.setAttribute("type","radio"),k.radioValue="t"===a.value}();var lb=/\r/g;m.fn.extend({val:function(a){var b,c,d,e=this[0];{if(arguments.length)return d=m.isFunction(a),this.each(function(c){var e;1===this.nodeType&&(e=d?a.call(this,c,m(this).val()):a,null==e?e="":"number"==typeof e?e+="":m.isArray(e)&&(e=m.map(e,function(a){return null==a?"":a+""})),b=m.valHooks[this.type]||m.valHooks[this.nodeName.toLowerCase()],b&&"set"in b&&void 0!==b.set(this,e,"value")||(this.value=e))});if(e)return b=m.valHooks[e.type]||m.valHooks[e.nodeName.toLowerCase()],b&&"get"in b&&void 0!==(c=b.get(e,"value"))?c:(c=e.value,"string"==typeof c?c.replace(lb,""):null==c?"":c)}}}),m.extend({valHooks:{option:{get:function(a){var b=m.find.attr(a,"value");return null!=b?b:m.trim(m.text(a))}},select:{get:function(a){for(var b,c,d=a.options,e=a.selectedIndex,f="select-one"===a.type||0>e,g=f?null:[],h=f?e+1:d.length,i=0>e?h:f?e:0;h>i;i++)if(c=d[i],!(!c.selected&&i!==e||(k.optDisabled?c.disabled:null!==c.getAttribute("disabled"))||c.parentNode.disabled&&m.nodeName(c.parentNode,"optgroup"))){if(b=m(c).val(),f)return b;g.push(b)}return g},set:function(a,b){var c,d,e=a.options,f=m.makeArray(b),g=e.length;while(g--)if(d=e[g],m.inArray(m.valHooks.option.get(d),f)>=0)try{d.selected=c=!0}catch(h){d.scrollHeight}else d.selected=!1;return c||(a.selectedIndex=-1),e}}}}),m.each(["radio","checkbox"],function(){m.valHooks[this]={set:function(a,b){return m.isArray(b)?a.checked=m.inArray(m(a).val(),b)>=0:void 0}},k.checkOn||(m.valHooks[this].get=function(a){return null===a.getAttribute("value")?"on":a.value})});var mb,nb,ob=m.expr.attrHandle,pb=/^(?:checked|selected)$/i,qb=k.getSetAttribute,rb=k.input;m.fn.extend({attr:function(a,b){return V(this,m.attr,a,b,arguments.length>1)},removeAttr:function(a){return this.each(function(){m.removeAttr(this,a)})}}),m.extend({attr:function(a,b,c){var d,e,f=a.nodeType;if(a&&3!==f&&8!==f&&2!==f)return typeof a.getAttribute===K?m.prop(a,b,c):(1===f&&m.isXMLDoc(a)||(b=b.toLowerCase(),d=m.attrHooks[b]||(m.expr.match.bool.test(b)?nb:mb)),void 0===c?d&&"get"in d&&null!==(e=d.get(a,b))?e:(e=m.find.attr(a,b),null==e?void 0:e):null!==c?d&&"set"in d&&void 0!==(e=d.set(a,c,b))?e:(a.setAttribute(b,c+""),c):void m.removeAttr(a,b))},removeAttr:function(a,b){var c,d,e=0,f=b&&b.match(E);if(f&&1===a.nodeType)while(c=f[e++])d=m.propFix[c]||c,m.expr.match.bool.test(c)?rb&&qb||!pb.test(c)?a[d]=!1:a[m.camelCase("default-"+c)]=a[d]=!1:m.attr(a,c,""),a.removeAttribute(qb?c:d)},attrHooks:{type:{set:function(a,b){if(!k.radioValue&&"radio"===b&&m.nodeName(a,"input")){var c=a.value;return a.setAttribute("type",b),c&&(a.value=c),b}}}}}),nb={set:function(a,b,c){return b===!1?m.removeAttr(a,c):rb&&qb||!pb.test(c)?a.setAttribute(!qb&&m.propFix[c]||c,c):a[m.camelCase("default-"+c)]=a[c]=!0,c}},m.each(m.expr.match.bool.source.match(/\w+/g),function(a,b){var c=ob[b]||m.find.attr;ob[b]=rb&&qb||!pb.test(b)?function(a,b,d){var e,f;return d||(f=ob[b],ob[b]=e,e=null!=c(a,b,d)?b.toLowerCase():null,ob[b]=f),e}:function(a,b,c){return c?void 0:a[m.camelCase("default-"+b)]?b.toLowerCase():null}}),rb&&qb||(m.attrHooks.value={set:function(a,b,c){return m.nodeName(a,"input")?void(a.defaultValue=b):mb&&mb.set(a,b,c)}}),qb||(mb={set:function(a,b,c){var d=a.getAttributeNode(c);return d||a.setAttributeNode(d=a.ownerDocument.createAttribute(c)),d.value=b+="","value"===c||b===a.getAttribute(c)?b:void 0}},ob.id=ob.name=ob.coords=function(a,b,c){var d;return c?void 0:(d=a.getAttributeNode(b))&&""!==d.value?d.value:null},m.valHooks.button={get:function(a,b){var c=a.getAttributeNode(b);return c&&c.specified?c.value:void 0},set:mb.set},m.attrHooks.contenteditable={set:function(a,b,c){mb.set(a,""===b?!1:b,c)}},m.each(["width","height"],function(a,b){m.attrHooks[b]={set:function(a,c){return""===c?(a.setAttribute(b,"auto"),c):void 0}}})),k.style||(m.attrHooks.style={get:function(a){return a.style.cssText||void 0},set:function(a,b){return a.style.cssText=b+""}});var sb=/^(?:input|select|textarea|button|object)$/i,tb=/^(?:a|area)$/i;m.fn.extend({prop:function(a,b){return V(this,m.prop,a,b,arguments.length>1)},removeProp:function(a){return a=m.propFix[a]||a,this.each(function(){try{this[a]=void 0,delete this[a]}catch(b){}})}}),m.extend({propFix:{"for":"htmlFor","class":"className"},prop:function(a,b,c){var d,e,f,g=a.nodeType;if(a&&3!==g&&8!==g&&2!==g)return f=1!==g||!m.isXMLDoc(a),f&&(b=m.propFix[b]||b,e=m.propHooks[b]),void 0!==c?e&&"set"in e&&void 0!==(d=e.set(a,c,b))?d:a[b]=c:e&&"get"in e&&null!==(d=e.get(a,b))?d:a[b]},propHooks:{tabIndex:{get:function(a){var b=m.find.attr(a,"tabindex");return b?parseInt(b,10):sb.test(a.nodeName)||tb.test(a.nodeName)&&a.href?0:-1}}}}),k.hrefNormalized||m.each(["href","src"],function(a,b){m.propHooks[b]={get:function(a){return a.getAttribute(b,4)}}}),k.optSelected||(m.propHooks.selected={get:function(a){var b=a.parentNode;return b&&(b.selectedIndex,b.parentNode&&b.parentNode.selectedIndex),null}}),m.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){m.propFix[this.toLowerCase()]=this}),k.enctype||(m.propFix.enctype="encoding");var ub=/[\t\r\n\f]/g;m.fn.extend({addClass:function(a){var b,c,d,e,f,g,h=0,i=this.length,j="string"==typeof a&&a;if(m.isFunction(a))return this.each(function(b){m(this).addClass(a.call(this,b,this.className))});if(j)for(b=(a||"").match(E)||[];i>h;h++)if(c=this[h],d=1===c.nodeType&&(c.className?(" "+c.className+" ").replace(ub," "):" ")){f=0;while(e=b[f++])d.indexOf(" "+e+" ")<0&&(d+=e+" ");g=m.trim(d),c.className!==g&&(c.className=g)}return this},removeClass:function(a){var b,c,d,e,f,g,h=0,i=this.length,j=0===arguments.length||"string"==typeof a&&a;if(m.isFunction(a))return this.each(function(b){m(this).removeClass(a.call(this,b,this.className))});if(j)for(b=(a||"").match(E)||[];i>h;h++)if(c=this[h],d=1===c.nodeType&&(c.className?(" "+c.className+" ").replace(ub," "):"")){f=0;while(e=b[f++])while(d.indexOf(" "+e+" ")>=0)d=d.replace(" "+e+" "," ");g=a?m.trim(d):"",c.className!==g&&(c.className=g)}return this},toggleClass:function(a,b){var c=typeof a;return"boolean"==typeof b&&"string"===c?b?this.addClass(a):this.removeClass(a):this.each(m.isFunction(a)?function(c){m(this).toggleClass(a.call(this,c,this.className,b),b)}:function(){if("string"===c){var b,d=0,e=m(this),f=a.match(E)||[];while(b=f[d++])e.hasClass(b)?e.removeClass(b):e.addClass(b)}else(c===K||"boolean"===c)&&(this.className&&m._data(this,"__className__",this.className),this.className=this.className||a===!1?"":m._data(this,"__className__")||"")})},hasClass:function(a){for(var b=" "+a+" ",c=0,d=this.length;d>c;c++)if(1===this[c].nodeType&&(" "+this[c].className+" ").replace(ub," ").indexOf(b)>=0)return!0;return!1}}),m.each("blur focus focusin focusout load resize scroll unload click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup error contextmenu".split(" "),function(a,b){m.fn[b]=function(a,c){return arguments.length>0?this.on(b,null,a,c):this.trigger(b)}}),m.fn.extend({hover:function(a,b){return this.mouseenter(a).mouseleave(b||a)},bind:function(a,b,c){return this.on(a,null,b,c)},unbind:function(a,b){return this.off(a,null,b)},delegate:function(a,b,c,d){return this.on(b,a,c,d)},undelegate:function(a,b,c){return 1===arguments.length?this.off(a,"**"):this.off(b,a||"**",c)}});var vb=m.now(),wb=/\?/,xb=/(,)|(\[|{)|(}|])|"(?:[^"\\\r\n]|\\["\\\/bfnrt]|\\u[\da-fA-F]{4})*"\s*:?|true|false|null|-?(?!0\d)\d+(?:\.\d+|)(?:[eE][+-]?\d+|)/g;m.parseJSON=function(b){if(a.JSON&&a.JSON.parse)return a.JSON.parse(b+"");var c,d=null,e=m.trim(b+"");return e&&!m.trim(e.replace(xb,function(a,b,e,f){return c&&b&&(d=0),0===d?a:(c=e||b,d+=!f-!e,"")}))?Function("return "+e)():m.error("Invalid JSON: "+b)},m.parseXML=function(b){var c,d;if(!b||"string"!=typeof b)return null;try{a.DOMParser?(d=new DOMParser,c=d.parseFromString(b,"text/xml")):(c=new ActiveXObject("Microsoft.XMLDOM"),c.async="false",c.loadXML(b))}catch(e){c=void 0}return c&&c.documentElement&&!c.getElementsByTagName("parsererror").length||m.error("Invalid XML: "+b),c};var yb,zb,Ab=/#.*$/,Bb=/([?&])_=[^&]*/,Cb=/^(.*?):[ \t]*([^\r\n]*)\r?$/gm,Db=/^(?:about|app|app-storage|.+-extension|file|res|widget):$/,Eb=/^(?:GET|HEAD)$/,Fb=/^\/\//,Gb=/^([\w.+-]+:)(?:\/\/(?:[^\/?#]*@|)([^\/?#:]*)(?::(\d+)|)|)/,Hb={},Ib={},Jb="*/".concat("*");try{zb=location.href}catch(Kb){zb=y.createElement("a"),zb.href="",zb=zb.href}yb=Gb.exec(zb.toLowerCase())||[];function Lb(a){return function(b,c){"string"!=typeof b&&(c=b,b="*");var d,e=0,f=b.toLowerCase().match(E)||[];if(m.isFunction(c))while(d=f[e++])"+"===d.charAt(0)?(d=d.slice(1)||"*",(a[d]=a[d]||[]).unshift(c)):(a[d]=a[d]||[]).push(c)}}function Mb(a,b,c,d){var e={},f=a===Ib;function g(h){var i;return e[h]=!0,m.each(a[h]||[],function(a,h){var j=h(b,c,d);return"string"!=typeof j||f||e[j]?f?!(i=j):void 0:(b.dataTypes.unshift(j),g(j),!1)}),i}return g(b.dataTypes[0])||!e["*"]&&g("*")}function Nb(a,b){var c,d,e=m.ajaxSettings.flatOptions||{};for(d in b)void 0!==b[d]&&((e[d]?a:c||(c={}))[d]=b[d]);return c&&m.extend(!0,a,c),a}function Ob(a,b,c){var d,e,f,g,h=a.contents,i=a.dataTypes;while("*"===i[0])i.shift(),void 0===e&&(e=a.mimeType||b.getResponseHeader("Content-Type"));if(e)for(g in h)if(h[g]&&h[g].test(e)){i.unshift(g);break}if(i[0]in c)f=i[0];else{for(g in c){if(!i[0]||a.converters[g+" "+i[0]]){f=g;break}d||(d=g)}f=f||d}return f?(f!==i[0]&&i.unshift(f),c[f]):void 0}function Pb(a,b,c,d){var e,f,g,h,i,j={},k=a.dataTypes.slice();if(k[1])for(g in a.converters)j[g.toLowerCase()]=a.converters[g];f=k.shift();while(f)if(a.responseFields[f]&&(c[a.responseFields[f]]=b),!i&&d&&a.dataFilter&&(b=a.dataFilter(b,a.dataType)),i=f,f=k.shift())if("*"===f)f=i;else if("*"!==i&&i!==f){if(g=j[i+" "+f]||j["* "+f],!g)for(e in j)if(h=e.split(" "),h[1]===f&&(g=j[i+" "+h[0]]||j["* "+h[0]])){g===!0?g=j[e]:j[e]!==!0&&(f=h[0],k.unshift(h[1]));break}if(g!==!0)if(g&&a["throws"])b=g(b);else try{b=g(b)}catch(l){return{state:"parsererror",error:g?l:"No conversion from "+i+" to "+f}}}return{state:"success",data:b}}m.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:zb,type:"GET",isLocal:Db.test(yb[1]),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Jb,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/xml/,html:/html/,json:/json/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":m.parseJSON,"text xml":m.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(a,b){return b?Nb(Nb(a,m.ajaxSettings),b):Nb(m.ajaxSettings,a)},ajaxPrefilter:Lb(Hb),ajaxTransport:Lb(Ib),ajax:function(a,b){"object"==typeof a&&(b=a,a=void 0),b=b||{};var c,d,e,f,g,h,i,j,k=m.ajaxSetup({},b),l=k.context||k,n=k.context&&(l.nodeType||l.jquery)?m(l):m.event,o=m.Deferred(),p=m.Callbacks("once memory"),q=k.statusCode||{},r={},s={},t=0,u="canceled",v={readyState:0,getResponseHeader:function(a){var b;if(2===t){if(!j){j={};while(b=Cb.exec(f))j[b[1].toLowerCase()]=b[2]}b=j[a.toLowerCase()]}return null==b?null:b},getAllResponseHeaders:function(){return 2===t?f:null},setRequestHeader:function(a,b){var c=a.toLowerCase();return t||(a=s[c]=s[c]||a,r[a]=b),this},overrideMimeType:function(a){return t||(k.mimeType=a),this},statusCode:function(a){var b;if(a)if(2>t)for(b in a)q[b]=[q[b],a[b]];else v.always(a[v.status]);return this},abort:function(a){var b=a||u;return i&&i.abort(b),x(0,b),this}};if(o.promise(v).complete=p.add,v.success=v.done,v.error=v.fail,k.url=((a||k.url||zb)+"").replace(Ab,"").replace(Fb,yb[1]+"//"),k.type=b.method||b.type||k.method||k.type,k.dataTypes=m.trim(k.dataType||"*").toLowerCase().match(E)||[""],null==k.crossDomain&&(c=Gb.exec(k.url.toLowerCase()),k.crossDomain=!(!c||c[1]===yb[1]&&c[2]===yb[2]&&(c[3]||("http:"===c[1]?"80":"443"))===(yb[3]||("http:"===yb[1]?"80":"443")))),k.data&&k.processData&&"string"!=typeof k.data&&(k.data=m.param(k.data,k.traditional)),Mb(Hb,k,b,v),2===t)return v;h=m.event&&k.global,h&&0===m.active++&&m.event.trigger("ajaxStart"),k.type=k.type.toUpperCase(),k.hasContent=!Eb.test(k.type),e=k.url,k.hasContent||(k.data&&(e=k.url+=(wb.test(e)?"&":"?")+k.data,delete k.data),k.cache===!1&&(k.url=Bb.test(e)?e.replace(Bb,"$1_="+vb++):e+(wb.test(e)?"&":"?")+"_="+vb++)),k.ifModified&&(m.lastModified[e]&&v.setRequestHeader("If-Modified-Since",m.lastModified[e]),m.etag[e]&&v.setRequestHeader("If-None-Match",m.etag[e])),(k.data&&k.hasContent&&k.contentType!==!1||b.contentType)&&v.setRequestHeader("Content-Type",k.contentType),v.setRequestHeader("Accept",k.dataTypes[0]&&k.accepts[k.dataTypes[0]]?k.accepts[k.dataTypes[0]]+("*"!==k.dataTypes[0]?", "+Jb+"; q=0.01":""):k.accepts["*"]);for(d in k.headers)v.setRequestHeader(d,k.headers[d]);if(k.beforeSend&&(k.beforeSend.call(l,v,k)===!1||2===t))return v.abort();u="abort";for(d in{success:1,error:1,complete:1})v[d](k[d]);if(i=Mb(Ib,k,b,v)){v.readyState=1,h&&n.trigger("ajaxSend",[v,k]),k.async&&k.timeout>0&&(g=setTimeout(function(){v.abort("timeout")},k.timeout));try{t=1,i.send(r,x)}catch(w){if(!(2>t))throw w;x(-1,w)}}else x(-1,"No Transport");function x(a,b,c,d){var j,r,s,u,w,x=b;2!==t&&(t=2,g&&clearTimeout(g),i=void 0,f=d||"",v.readyState=a>0?4:0,j=a>=200&&300>a||304===a,c&&(u=Ob(k,v,c)),u=Pb(k,u,v,j),j?(k.ifModified&&(w=v.getResponseHeader("Last-Modified"),w&&(m.lastModified[e]=w),w=v.getResponseHeader("etag"),w&&(m.etag[e]=w)),204===a||"HEAD"===k.type?x="nocontent":304===a?x="notmodified":(x=u.state,r=u.data,s=u.error,j=!s)):(s=x,(a||!x)&&(x="error",0>a&&(a=0))),v.status=a,v.statusText=(b||x)+"",j?o.resolveWith(l,[r,x,v]):o.rejectWith(l,[v,x,s]),v.statusCode(q),q=void 0,h&&n.trigger(j?"ajaxSuccess":"ajaxError",[v,k,j?r:s]),p.fireWith(l,[v,x]),h&&(n.trigger("ajaxComplete",[v,k]),--m.active||m.event.trigger("ajaxStop")))}return v},getJSON:function(a,b,c){return m.get(a,b,c,"json")},getScript:function(a,b){return m.get(a,void 0,b,"script")}}),m.each(["get","post"],function(a,b){m[b]=function(a,c,d,e){return m.isFunction(c)&&(e=e||d,d=c,c=void 0),m.ajax({url:a,type:b,dataType:e,data:c,success:d})}}),m._evalUrl=function(a){return m.ajax({url:a,type:"GET",dataType:"script",async:!1,global:!1,"throws":!0})},m.fn.extend({wrapAll:function(a){if(m.isFunction(a))return this.each(function(b){m(this).wrapAll(a.call(this,b))});if(this[0]){var b=m(a,this[0].ownerDocument).eq(0).clone(!0);this[0].parentNode&&b.insertBefore(this[0]),b.map(function(){var a=this;while(a.firstChild&&1===a.firstChild.nodeType)a=a.firstChild;return a}).append(this)}return this},wrapInner:function(a){return this.each(m.isFunction(a)?function(b){m(this).wrapInner(a.call(this,b))}:function(){var b=m(this),c=b.contents();c.length?c.wrapAll(a):b.append(a)})},wrap:function(a){var b=m.isFunction(a);return this.each(function(c){m(this).wrapAll(b?a.call(this,c):a)})},unwrap:function(){return this.parent().each(function(){m.nodeName(this,"body")||m(this).replaceWith(this.childNodes)}).end()}}),m.expr.filters.hidden=function(a){return a.offsetWidth<=0&&a.offsetHeight<=0||!k.reliableHiddenOffsets()&&"none"===(a.style&&a.style.display||m.css(a,"display"))},m.expr.filters.visible=function(a){return!m.expr.filters.hidden(a)};var Qb=/%20/g,Rb=/\[\]$/,Sb=/\r?\n/g,Tb=/^(?:submit|button|image|reset|file)$/i,Ub=/^(?:input|select|textarea|keygen)/i;function Vb(a,b,c,d){var e;if(m.isArray(b))m.each(b,function(b,e){c||Rb.test(a)?d(a,e):Vb(a+"["+("object"==typeof e?b:"")+"]",e,c,d)});else if(c||"object"!==m.type(b))d(a,b);else for(e in b)Vb(a+"["+e+"]",b[e],c,d)}m.param=function(a,b){var c,d=[],e=function(a,b){b=m.isFunction(b)?b():null==b?"":b,d[d.length]=encodeURIComponent(a)+"="+encodeURIComponent(b)};if(void 0===b&&(b=m.ajaxSettings&&m.ajaxSettings.traditional),m.isArray(a)||a.jquery&&!m.isPlainObject(a))m.each(a,function(){e(this.name,this.value)});else for(c in a)Vb(c,a[c],b,e);return d.join("&").replace(Qb,"+")},m.fn.extend({serialize:function(){return m.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var a=m.prop(this,"elements");return a?m.makeArray(a):this}).filter(function(){var a=this.type;return this.name&&!m(this).is(":disabled")&&Ub.test(this.nodeName)&&!Tb.test(a)&&(this.checked||!W.test(a))}).map(function(a,b){var c=m(this).val();return null==c?null:m.isArray(c)?m.map(c,function(a){return{name:b.name,value:a.replace(Sb,"\r\n")}}):{name:b.name,value:c.replace(Sb,"\r\n")}}).get()}}),m.ajaxSettings.xhr=void 0!==a.ActiveXObject?function(){return!this.isLocal&&/^(get|post|head|put|delete|options)$/i.test(this.type)&&Zb()||$b()}:Zb;var Wb=0,Xb={},Yb=m.ajaxSettings.xhr();a.attachEvent&&a.attachEvent("onunload",function(){for(var a in Xb)Xb[a](void 0,!0)}),k.cors=!!Yb&&"withCredentials"in Yb,Yb=k.ajax=!!Yb,Yb&&m.ajaxTransport(function(a){if(!a.crossDomain||k.cors){var b;return{send:function(c,d){var e,f=a.xhr(),g=++Wb;if(f.open(a.type,a.url,a.async,a.username,a.password),a.xhrFields)for(e in a.xhrFields)f[e]=a.xhrFields[e];a.mimeType&&f.overrideMimeType&&f.overrideMimeType(a.mimeType),a.crossDomain||c["X-Requested-With"]||(c["X-Requested-With"]="XMLHttpRequest");for(e in c)void 0!==c[e]&&f.setRequestHeader(e,c[e]+"");f.send(a.hasContent&&a.data||null),b=function(c,e){var h,i,j;if(b&&(e||4===f.readyState))if(delete Xb[g],b=void 0,f.onreadystatechange=m.noop,e)4!==f.readyState&&f.abort();else{j={},h=f.status,"string"==typeof f.responseText&&(j.text=f.responseText);try{i=f.statusText}catch(k){i=""}h||!a.isLocal||a.crossDomain?1223===h&&(h=204):h=j.text?200:404}j&&d(h,i,j,f.getAllResponseHeaders())},a.async?4===f.readyState?setTimeout(b):f.onreadystatechange=Xb[g]=b:b()},abort:function(){b&&b(void 0,!0)}}}});function Zb(){try{return new a.XMLHttpRequest}catch(b){}}function $b(){try{return new a.ActiveXObject("Microsoft.XMLHTTP")}catch(b){}}m.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/(?:java|ecma)script/},converters:{"text script":function(a){return m.globalEval(a),a}}}),m.ajaxPrefilter("script",function(a){void 0===a.cache&&(a.cache=!1),a.crossDomain&&(a.type="GET",a.global=!1)}),m.ajaxTransport("script",function(a){if(a.crossDomain){var b,c=y.head||m("head")[0]||y.documentElement;return{send:function(d,e){b=y.createElement("script"),b.async=!0,a.scriptCharset&&(b.charset=a.scriptCharset),b.src=a.url,b.onload=b.onreadystatechange=function(a,c){(c||!b.readyState||/loaded|complete/.test(b.readyState))&&(b.onload=b.onreadystatechange=null,b.parentNode&&b.parentNode.removeChild(b),b=null,c||e(200,"success"))},c.insertBefore(b,c.firstChild)},abort:function(){b&&b.onload(void 0,!0)}}}});var _b=[],ac=/(=)\?(?=&|$)|\?\?/;m.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var a=_b.pop()||m.expando+"_"+vb++;return this[a]=!0,a}}),m.ajaxPrefilter("json jsonp",function(b,c,d){var e,f,g,h=b.jsonp!==!1&&(ac.test(b.url)?"url":"string"==typeof b.data&&!(b.contentType||"").indexOf("application/x-www-form-urlencoded")&&ac.test(b.data)&&"data");return h||"jsonp"===b.dataTypes[0]?(e=b.jsonpCallback=m.isFunction(b.jsonpCallback)?b.jsonpCallback():b.jsonpCallback,h?b[h]=b[h].replace(ac,"$1"+e):b.jsonp!==!1&&(b.url+=(wb.test(b.url)?"&":"?")+b.jsonp+"="+e),b.converters["script json"]=function(){return g||m.error(e+" was not called"),g[0]},b.dataTypes[0]="json",f=a[e],a[e]=function(){g=arguments},d.always(function(){a[e]=f,b[e]&&(b.jsonpCallback=c.jsonpCallback,_b.push(e)),g&&m.isFunction(f)&&f(g[0]),g=f=void 0}),"script"):void 0}),m.parseHTML=function(a,b,c){if(!a||"string"!=typeof a)return null;"boolean"==typeof b&&(c=b,b=!1),b=b||y;var d=u.exec(a),e=!c&&[];return d?[b.createElement(d[1])]:(d=m.buildFragment([a],b,e),e&&e.length&&m(e).remove(),m.merge([],d.childNodes))};var bc=m.fn.load;m.fn.load=function(a,b,c){if("string"!=typeof a&&bc)return bc.apply(this,arguments);var d,e,f,g=this,h=a.indexOf(" ");return h>=0&&(d=m.trim(a.slice(h,a.length)),a=a.slice(0,h)),m.isFunction(b)?(c=b,b=void 0):b&&"object"==typeof b&&(f="POST"),g.length>0&&m.ajax({url:a,type:f,dataType:"html",data:b}).done(function(a){e=arguments,g.html(d?m("<div>").append(m.parseHTML(a)).find(d):a)}).complete(c&&function(a,b){g.each(c,e||[a.responseText,b,a])}),this},m.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(a,b){m.fn[b]=function(a){return this.on(b,a)}}),m.expr.filters.animated=function(a){return m.grep(m.timers,function(b){return a===b.elem}).length};var cc=a.document.documentElement;function dc(a){return m.isWindow(a)?a:9===a.nodeType?a.defaultView||a.parentWindow:!1}m.offset={setOffset:function(a,b,c){var d,e,f,g,h,i,j,k=m.css(a,"position"),l=m(a),n={};"static"===k&&(a.style.position="relative"),h=l.offset(),f=m.css(a,"top"),i=m.css(a,"left"),j=("absolute"===k||"fixed"===k)&&m.inArray("auto",[f,i])>-1,j?(d=l.position(),g=d.top,e=d.left):(g=parseFloat(f)||0,e=parseFloat(i)||0),m.isFunction(b)&&(b=b.call(a,c,h)),null!=b.top&&(n.top=b.top-h.top+g),null!=b.left&&(n.left=b.left-h.left+e),"using"in b?b.using.call(a,n):l.css(n)}},m.fn.extend({offset:function(a){if(arguments.length)return void 0===a?this:this.each(function(b){m.offset.setOffset(this,a,b)});var b,c,d={top:0,left:0},e=this[0],f=e&&e.ownerDocument;if(f)return b=f.documentElement,m.contains(b,e)?(typeof e.getBoundingClientRect!==K&&(d=e.getBoundingClientRect()),c=dc(f),{top:d.top+(c.pageYOffset||b.scrollTop)-(b.clientTop||0),left:d.left+(c.pageXOffset||b.scrollLeft)-(b.clientLeft||0)}):d},position:function(){if(this[0]){var a,b,c={top:0,left:0},d=this[0];return"fixed"===m.css(d,"position")?b=d.getBoundingClientRect():(a=this.offsetParent(),b=this.offset(),m.nodeName(a[0],"html")||(c=a.offset()),c.top+=m.css(a[0],"borderTopWidth",!0),c.left+=m.css(a[0],"borderLeftWidth",!0)),{top:b.top-c.top-m.css(d,"marginTop",!0),left:b.left-c.left-m.css(d,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var a=this.offsetParent||cc;while(a&&!m.nodeName(a,"html")&&"static"===m.css(a,"position"))a=a.offsetParent;return a||cc})}}),m.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(a,b){var c=/Y/.test(b);m.fn[a]=function(d){return V(this,function(a,d,e){var f=dc(a);return void 0===e?f?b in f?f[b]:f.document.documentElement[d]:a[d]:void(f?f.scrollTo(c?m(f).scrollLeft():e,c?e:m(f).scrollTop()):a[d]=e)},a,d,arguments.length,null)}}),m.each(["top","left"],function(a,b){m.cssHooks[b]=La(k.pixelPosition,function(a,c){return c?(c=Ja(a,b),Ha.test(c)?m(a).position()[b]+"px":c):void 0})}),m.each({Height:"height",Width:"width"},function(a,b){m.each({padding:"inner"+a,content:b,"":"outer"+a},function(c,d){m.fn[d]=function(d,e){var f=arguments.length&&(c||"boolean"!=typeof d),g=c||(d===!0||e===!0?"margin":"border");return V(this,function(b,c,d){var e;return m.isWindow(b)?b.document.documentElement["client"+a]:9===b.nodeType?(e=b.documentElement,Math.max(b.body["scroll"+a],e["scroll"+a],b.body["offset"+a],e["offset"+a],e["client"+a])):void 0===d?m.css(b,c,g):m.style(b,c,d,g)},b,f?d:void 0,f,null)}})}),m.fn.size=function(){return this.length},m.fn.andSelf=m.fn.addBack,"function"==typeof define&&define.amd&&define("jquery",[],function(){return m});var ec=a.jQuery,fc=a.$;return m.noConflict=function(b){return a.$===m&&(a.$=fc),b&&a.jQuery===m&&(a.jQuery=ec),m},typeof b===K&&(a.jQuery=a.$=m),m});
+<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
 </script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <style type="text/css">html{font-family:sans-serif;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{margin:.67em 0;font-size:2em}mark{color:#000;background:#ff0}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{height:0;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}button,input,optgroup,select,textarea{margin:0;font:inherit;color:inherit}button{overflow:visible}button,select{text-transform:none}button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}input{line-height:normal}input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto}input[type=search]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none}fieldset{padding:.35em .625em .75em;margin:0 2px;border:1px solid silver}legend{padding:0;border:0}textarea{overflow:auto}optgroup{font-weight:700}table{border-spacing:0;border-collapse:collapse}td,th{padding:0}@media print{*,:after,:before{color:#000!important;text-shadow:none!important;background:0 0!important;-webkit-box-shadow:none!important;box-shadow:none!important}a,a:visited{text-decoration:underline}a[href]:after{content:" (" attr(href) ")"}abbr[title]:after{content:" (" attr(title) ")"}a[href^="javascript:"]:after,a[href^="#"]:after{content:""}blockquote,pre{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}img,tr{page-break-inside:avoid}img{max-width:100%!important}h2,h3,p{orphans:3;widows:3}h2,h3{page-break-after:avoid}.navbar{display:none}.btn>.caret,.dropup>.btn>.caret{border-top-color:#000!important}.label{border:1px solid #000}.table{border-collapse:collapse!important}.table td,.table th{background-color:#fff!important}.table-bordered td,.table-bordered th{border:1px solid #ddd!important}}@font-face{font-family:'Glyphicons Halflings';src:url(data:application/vnd.ms-fontobject;base64,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);src:url(data:application/vnd.ms-fontobject;base64,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) format('embedded-opentype'),url(data:application/font-woff;base64,d09GRgABAAAAAFuAAA8AAAAAsVwAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABWAAAABwAAAAcbSqX3EdERUYAAAF0AAAAHwAAACABRAAET1MvMgAAAZQAAABFAAAAYGe5a4ljbWFwAAAB3AAAAsAAAAZy2q3jgWN2dCAAAAScAAAABAAAAAQAKAL4Z2FzcAAABKAAAAAIAAAACP//AANnbHlmAAAEqAAATRcAAJSkfV3Cb2hlYWQAAFHAAAAANAAAADYFTS/YaGhlYQAAUfQAAAAcAAAAJApEBBFobXR4AABSEAAAAU8AAAN00scgYGxvY2EAAFNgAAACJwAAAjBv+5XObWF4cAAAVYgAAAAgAAAAIAFqANhuYW1lAABVqAAAAZ4AAAOisyygm3Bvc3QAAFdIAAAELQAACtG6o+U1d2ViZgAAW3gAAAAGAAAABsMYVFAAAAABAAAAAMw9os8AAAAA0HaBdQAAAADQdnOXeNpjYGRgYOADYgkGEGBiYGRgZBQDkixgHgMABUgASgB42mNgZulmnMDAysDCzMN0gYGBIQpCMy5hMGLaAeQDpRCACYkd6h3ux+DAoPD/P/OB/wJAdSIM1UBhRiQlCgyMADGWCwwAAAB42u2UP2hTQRzHf5ekaVPExv6JjW3fvTQ0sa3QLA5xylBLgyBx0gzSWEUaXbIoBBQyCQGHLqXUqYNdtIIgIg5FHJxEtwqtpbnfaV1E1KFaSvX5vVwGEbW6OPngk8/vvXfv7pt3v4SImojIDw6BViKxRgIVBaZwVdSv+xvXA+Iuzqcog2cOkkvDNE8Lbqs74k64i+5Sf3u8Z2AnIRLbyVCyTflVSEXVoEqrrMqrgiqqsqqqWQ5xlAc5zWOc5TwXucxVnuE5HdQhHdFRHdNJndZZndeFLc/zsKJLQ/WV6BcrCdWkwspVKZVROaw0qUqqoqZZcJhdTnGGxznHBS5xhad5VhNWCuturBTXKZ3RObuS98pb9c57k6ql9rp2v1as5deb1r6s9q1GV2IrHSt73T631424YXzjgPwqt+Rn+VG+lRvyirwsS/KCPCfPytPypDwhj8mjctRZd9acF86y89x55jxxHjkPnXstXfbt/pNjj/nwXW+cHa6/SYvZ7yEwbDYazDcIgoUGzY3h2HtqgUcs1AFPWKgTXrRQF7xkoQhRf7uF9hPFeyzUTTSwY6EoUUJY6AC8bSGMS4Ys1Au3WaiPSGGsMtkdGH2rzJgYHAaYjxIwQqtB1CnYkEZ9BM6ALOpROAfyqI/DBQudgidBETXuqRIooz4DV0AV9UV4GsyivkTEyMMmw1UYGdhkuAYjA5sMGMvIwCbDDRgZeAz1TXgcmDy3YeRhk+cOjCxsMjyAkYFNhscwMrDJ8BQ2886gXoaRhedQvyTSkDZ7uA6HLLQBI5vGntAbGHugTc53cMxC7+E4SKL+ACOzNpk3YWTWJid+iRo5NXIKM3fBItAPW55FdJLY3FeHBDr90606JCIU9Jk+Ms3/Y/8L8jUq3y79bJ/0/+ROoP4v9v/4/mj+i7HBXUd0/elU6IHfHt8Aj9EPGAAoAvgAAAAB//8AAnjaxb0JfBvVtTA+dxaN1hltI1m2ZVuSJVneLVlSHCdy9oTEWchqtrBEJRAgCYEsQNhC2EsbWmpI2dqkQBoSYgKlpaQthVL0yusrpW77aEubfq/ly+ujvJampSTW5Dvnzmi1E+jr//3+Xmbu3Llz77nnbuece865DMu0MAy5jGtiOEZkOp8lTNeUwyLP/DH+rEH41ZTDHAtB5lkOowWMPiwayNiUwwTjE46AI5xwhFrINPXYn/7ENY0dbWHfZAiTZbL8ID/InAd5xz2NpIH4STpDGonHIJNE3OP1KG4ISaSNeBuITAyRLgIxoiEUhFAnmUpEiXSRSGqAQEw0kuyFUIb0k2gnGSApyBFi0il2SI5YLGb5MdFjXCey4mNHzQ7WwLGEdZiPPgYR64we8THZHAt+wnT84D/x8YTpGPgheKH4CMEDVF9xBOIeP3EbQgGH29BGgpGkIxCMTCW9qUTA0Zsir+QUP1mt+P2KusevwIO6Bx/Iaj8/OD5O0VNrZW2EsqZBWbO1skRiEKE0DdlKKaSVO5VAuRpqk8VQJAqY7ydxaK44YJvrO2EWjOoDBoFYzQbDNkON+UbiKoRkywMWWf1j4bEY2iIY1AeMgvmEz/kVo9v4FSc/aMZMrFbjl4zWLL0+Y5FlyzNlEVYDudJohg8gPUP7kcB/mn+G6cd+5PV4Q72dXCgocWJADBgUuDTwiXiGSyZo14HOEQ2lE6k0XDIEusexDzZOMXwt1Dutz+tqmxTvlskNWXXUQIbhaurum9GrePqm9Yaeabjkiqf+bUvzDOvb2Y1E+EX2DnemcTP/zLcuu7xjQXdAtjR0Lo5n4/Hs/GtntMlysHt+29NXbH6se//WbFcyu+r28H0MwzI30DYeYTLMXIA2EG8QlHpAsyS0EfEToR0a3utIxFPJ3kiIHCCrZ66b0e2xEmL1dM9YN/MwS5p01N5jMX/BLKt/1R83l0LyC29M6+iYxo/UNg/EF7c2WyyW5tYl8WnhWg2/hyySbD5UhnDyS7OcU0dnrFw+DfGdI7v4QfYIIzOMq9hFtY55gmvC7jZ2FK7sEdrn6IXBuucYhjsGdQ8z0yEbWkkczjjsE5hNAIZrPx2zOLZDmKNXcXtg7EMqidAEEWg+SJCBBNwxvxJfc/bZa+KKf+xoKZybnq5vaqpPTye7CiF+ZFjxZ8/7Qij0hfOG/cowPA1rT1l4ymWnrKmxxqfErTVrpgwPlz1kC+Oy8NMDz6c+IO38K/x0xkPnLW8Kx6qGAoQdL+TD9V9rb+/ctn//trxz8dUrZrD/zk/ferF0cNt1BzctmX2FZPXt/jnFCQNz4Ah/iKllGiCMs1w5Lkg0kiEwj6VTXCDKsX9rMpnvIj9pcDecXAIXMnqn2dTUbN6w0XQ9ue6FV/nnXCH7S3lPWGltVcLsH75ub3ab7A8M28caNrIeOr3o5Q0yFsYL80xaa0EY/UEczV7icUMY5pnelAkmUAXmHYjvFWFGxuqlSaow3OM+/iYY7/l/hVELF4EjRqNR/bvRbOY+DUGzGR/Oh3EqmE/ugIQQguGt/eMYz/+L0cimjeZfQDI3phXMbMQsqH+CjwVz/hf4idHovgVmB8gLvjbicDcC/NypP536E/9N/puMibExdohBmNwyiaZdJGoigos7GpF222xrfnZhML/7Z+ylaqP63Hr+m7bdUkQ6/2cXqdfmvwixY+s2ksXFeXcE+iX0Z+Iow76DBNgjJ7TOdUK18iPsPflfQD+DPsZG2Aj9VmKMMJ4fYRrhIaxhTDR0Elh2vA6h/AE6xUb29mj3sjmL72petXjejPy+oel60M99tFduCI59N3221xe7apOvxs6aHs7vab1IqY2tv7q2xsHeHGml/cV06u/8S/xTjJ+JYc0bWEX0ukW6YmIbGkJRMdjJ9mYIH5QIdJF4hvRGyK7cC7ctImQRcUET99fGXOoft35GYLMQu+g2smnkgZUrH8AL/9Si217IssJ916nv14ZrJrvdxLkQvrvtBcjgPC0NXOicO8Qf4mcxPqh3hgUw3DDfdvLJXngg7N3dN2zbPJSaed3OfZnMU7dvmznp3C3bruO+Nmue0LFsy7S+6265+fCKFYdvvuW6vmlblnUI8xCXp37CrOZv4B9gauDBlYp7adcUXB5DNCwYImlXOJJKkAdvExXxVvKEYnCo+3eIskP9qrrfIYs71CccBjfXRC52udTHHdaP1A1ui/VvH1otbrLrpNXBsGX5B89QghDyimlvNB2KfkxZ5C9/em3+d1+d//IfFp2+2Oxn/s+9n/79p39S3s8idN6g0yZObwJOgKUpNB3GyU0Ls0PbRzIRq4lcarLKOJBkLRzJQD4j2090XrbA7DW8K3jNF5hlGS5e4V2D17zgss4T20egOJte5iD0bReM9yjTxnQxCRj3c5kFzGJmGbNKmwGw39IJDJcXJZGMkaAB4jyJAKw0jt5IAuIE+A+U3cVAZZrq9zhDyBrU8oosuxcGNTzCKJfla7JjNVmuSb/+tuzN2H+X4vlB+PpdfMXXmuVsNiub1T34SFbjYw5itEvVi0K0Nt9pNJUMI7SLGRhf2xipfCYf8z5OdlGKayOucFeVPeS/dbo3lBrbSMmwUiQN5/ed7g0Ds1s17IuZC5kNzM3MZ6EWCa0DtekdJfAxz+R/OX28sND7yRMTBcf++s8mQCQWHya4qBv/ufeMoWyslPA9DtMxUknxkH/yfTnm2CMYzs+Cq3r7PxY/MXomrvTEsRpfEGHa+WN8E1AHjElb7d06ddA7oK/+5Mdsv9EtPms0jv0Z5kf1FqPxWdFtfFr0kHfgDX0Y+5PRSG7RUj0tQr7rmfX8DH4G5W28kKeJLtmQsQkuwMP1pk16EV4sl7vrMJATfyUWo/GwEco4rh4XFQgaiUX9qxZHrMQqKnz/c2d8b9TysYrAuXpP/Rf/Gr8b1qwwc5a+euLa6S6sneNXToG2XrEJi4R5SGs8Sq2S3d97bsfCRaTdaLwKClRHt37mkudvXbjwVrLhuYeGhh56bvfQkHpk2CwvwClqgWwuBfndC3c8dwmstj81KkagcUgbfPY8Zje0W/82VPWJHmSq6pP8hPWpotc/EexDOK3qU+wngPhOCiO9MJRm8TJefjelrzoKnG2Bn+1NCUmPE4gHFmBN9jrTigRIpsACrc9Gstg58ULkp9467+Gf/eFnD5/31lNrt2967dhrm7bzI+VT5m+fzKhvf2MzpICEm79Bopkn07lt1762adNr127LwVqQLdJ5+lpQDcvHPQtVY5knhYrK6q8/JsiP6EuhGZdFdaNszjvpqvc+PI0CdjN0AXsFOC3ZfALDJwr4q2Xq+GF+GNbsxUg5NLLIEXi8otcDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg+FB1ubjlnRNvl3o6IEU2w7fdNPhm/hh+FLysUu6++DLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK/m4szFFR7ch0toUgBTdWHr7EpaWru6+6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d/jLST9v5YflasP6v/CO7+GNAPC2BMZWmsOjp2NNbfHwMCJD+LPVL+D/OYlWEEI/9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2+bBDWBud1Va4pcCn8CPqxlh/fgtG8IPaPH8C5wk6/nZDv69jurV5QhtwE0x2iqOsj9Mx8B9/0EaUdiPfOYYDCi/q9jhWRuupMDEU0+CtX0sDFxv07T/K5niBPqN9+tQjgEc31NGCXFeMcCEuQBIc/BK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF/R0/u5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y+RBgogrXPZ8E1yIHoHIFUM+AbJhE7lbMtt8ApL+xmZW7PwbjAO0fAVoXQOuiSP/ksIVdFZ0aulsamKUzwPZ/NYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7+pg+jUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd/J5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7+RHJHP+2hqfugo/MvI2H/mqr4b9tFnKSRY1Y5Ek80Nm/WIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw+nSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv+rWa/Wih0vlbX6Zb75T5C0qNKVFvH1QL/vazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f+XdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS/xTo+P5wGFak62ap1PVFFN4v/y+xuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f/6dhK6gQokFKhWX3urrjk/rnI0pgfpGMeuQIUaEM7+GF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x/GdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY+9yGFQtEo0GQPNv6vS2drj4+1jHbv3aJSMUWP+QTZrmbNTjU8wyG/iXNNpskybLcJ3CiTF5Ir+JYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d+/XeNRTZ9/1OPfG7+2hwzd5W3D+hmyjsRcUg/+Cavb++Vh2ls3L7zT/etOnHNxeerv313vzLVqPai4nJv+K1FC6040/4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk/U+D4gTXW+j0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7/R561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l+WKHmLTJwRv9E8GWJ6dYvf/FmEyEGr+gyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b+tMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1+Q2BIRvf6J6Kgatnrbiem+CFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ+CuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih/xELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD+uOe+kWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby/+SSbPY8/NH6vpl/Esq3Ae4ZU1HC44KFiI9o7CEgab/RqHbj7s5KAg06s39ZP/zxI/mVuF/TbTSy+3Fb8If9/cv7+wt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi/C8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0+Xxx/5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB/qM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J/UKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc/THK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd++U/3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg+e4As38MfGquNt7oUws6Ysarj1/efE+yst86YUVNvDdts3Pv5c8m/aP0C+f8/Qb+IMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT/v27wm09jRYVc/e++iyx2tyzJb/n3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy/t27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj/S5ki1jL/a0GC6+2L6Um+aoddlNFuj+bJ8mH/iaLh8I0/U51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz+1UmhTJyJGxZzw+wsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ/9pPA4RKTASWahmh+8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ/tHnODtENw/2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8+/Elg5j4Gxur3J8o2PJ4rg+2d08T/fwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r/aMMj8onCP/DuDZOuN+GPPr/+p7bx+7JlbYdppcNhzKU/1Px5aiaGDn/s1iGMaBcleKUo/v9rcxkZj7DBEKOfrayytXNLYiUdBY+pleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF/Qa9Pdf/QqOSqCiE/EE1/XIVKTc2tzWbHnimrEd+Vyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu/kzIdx+BxC0ay9zRSvoS0F2lIxI+X7klU63I40gLQ3w5ep5na+SFnba3z5D64zv+QtM4n4ffG3tq4aNHGRfxgrXPMim+5487abL7xhdseIRn1KDl+7aINixdv0OD+JSPwKf5+xoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz+9a/v2PH1Hfz9236w+ZrPXvWfAxlj4NLLHpq3c/PQ3uvmvbrjG7fe+o2y/cLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF/tkkOGPW2ibWaBTkeZ/dvPWazXfOnnvL6jkRXpi85sFzZt+55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG/yVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6/OU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR/rg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x+MJiOA3YwhDRQrWU0u/0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0+a0uoiFH/xcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL+j3D/uwhBRdyAyozeZwvQzs79soi+BKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo/ybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM+3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho/VDkzQfLE+IrYoJXkD19pdP7OwG/voIUtagiWiZ4PAFTHHlTVhRZ7dYmPar+NJ+8JhmR6DFK5DV1foHoLNO/pHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj+i5++WZfKeViJfW5HnUakVL4UCNVkA4+ETfIqx4B5xSaP2L1yn0zn2ltPn4+OqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL/NNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE+cPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP+Kps8J9/3mGQIteY/LGPC+L7872SPR2br5fy8MtKBMHedGuM28/MZmPJMrGgi3Gb1S+Si1/L/zrZwO9XH1ce/z7ZQ1WSoY/+pMb5FT4ua0Wm+Jf/298nFmChEQ+Ti71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa/1IFO1/jdWr/8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc+KJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3/tM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB/yox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt/qMDnvLpPNTXfNa60z5/yjXQOMq+lNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd+RiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb/pBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap/30lnVESgNnvjbUoT6w9N+Xoio0qcYOIM+heg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X+PE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa+dAdAbMYX6HVF8A+7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf/Nf+Ny65BhYxxxV+77XJ2wfQ389/IQPgajXbwMsuAz/0IaQcXJavKbRqR2IqyZruXjVC2+hdee/5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab/wXl2CNe7s/qCtTvWgG5kpBmCBlSzDS/r8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8/NCfiOUVirYcBbIeA2+iF68rQIo3B/S628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935+k1efkV51mzzrM0LL3/20avnwMeKuWyOUZg2TasSqZ+KcZQiOn1Iu2Vh497ALUVZiCKt/gh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1/uzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb+okJ5JRDyf54Axur1D+WS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt+t/qW2+93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz+tJo+wijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF+kuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj+Z4i+42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA/hRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz+x+Fkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3/RTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY+uSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN+fiK86LeXj+Sc5lPKy+k/vCUI/DaLFYCWHr6nbXuILTIsb5imNKY/rCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T/yOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH+L0eCPxmsa5ZpgRJSDZ11yDv+jmbd86vxZfc1WcZJ3UkMq1BOOOVtvu/+pB+en186d3GTwWAw2jheaJs09/+LNfZft37DALyrNj1wABMuUKbODyTVnT/KYbJ3Tpq8IrNh92dkxOj5P/YpZx4/ycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB+cV99/eTF6294dA8+TK6v74MHVpYNRt/I30e8QGTOOdfGWzzxcy+87a7bLjw37rHw1nPzp0KyyRSeZO+QQhInt3dYgvycjrPOv+T8s1rptaP84VeywdWX2T4ysr0/7TLIs6+x9zib56ye1dM9e/XsZmePY3NDs9zlnNVt4+WgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS+XPplV2ts4bvCwZu+KzgITtxepaPRzWdpv74muvv6RO0SorX6cu/dqKn/XWnrtp/Zragz13DUCl5myiFW2Ycvb0PtsXnU+tx8pvLFbUspLX68mdegwmOif/NPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3/jdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx+6arPqbkcNAHoFPzKUUQ+qL0k97pjbZv1I/egC9zTFbrrlFpNdmea+gIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV/ScS+zjlASyUTVv/AJ46gkJI4bHX4lTnloctxPZE1ckS3+jG2fKIjkQFyzuo8jvYQG1OrGvJPSTu/nSp9PHNTl4z5hK/8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt/wkSx/JCmP5/cBKQfl/5gd+rOS/+p91/+YCg5CXK2W4M9fu+/6xxX+vnelVuldIDCG0VQTpU9Dw4pRfei+6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15+5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl/5bqzYqT9hMmptEXDgTqP3Wiye+sD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC/v8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4+Ti7W9D/OZrLChdwxmPNiBRqVjnpK/aGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3+OfU5/ieLS/NuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD+N2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad/3t2KTtPobnX6D8C8pd0MDP+Kx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE+JGTS3JoEhTrz8/CB+5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk+htwN5A0V3RCPoD/yXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps/t+0iCT3AHVtZC7JDCXfR7OSb/Xja5H3zQbZL1B+ULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset+nQWdS/ZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5+LhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW/3Q5Nn8BZEuzqEI7HK3n0+zFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj/mQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2/BWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY/yCZu/Amd5Or9uS3DYaeqVOhH7gZN/8I/wi1fEuLXvyNivibjuKvN+1Nc01HF/3h+ef/sOhox8MPd5SFucPjorQwXT+ytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP/79nbvCXFOY+PUjrT7/otsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9+pbs6E/Vu7Nk642/PYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu/19/5QW9Rv1U1ridT22i+53pzumbs+XFFXYC++CGsTj5JUT/GCgRt3n78i2n71FHG4/u6X++9+raya7os3ZbDmgWfXun44e+u2NZKuGZ0HiF8M4TlMPR+EU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l+uXrbjPUyep+8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq+NzK/OKSbsfl79o9G20R+brBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery/7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1+SdazRrfddkBU98t1htvWrbjqSqjaCguxrffM/5zDCpBALUycmajhd+R6ww4SWafuZ5eU+tPid4lgd3gt+b/Y9rQoZNmiXYPXyRHbRs8zX/f4WIFjWZJtUdSD55AP3xtXH+ZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy/8F0GoqYPv75Yh9j3x4DuJ+uEzHRpAq2lMqb+qfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT+LUgx0Pg/p87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv/u9ZUWUx+PYFueUKwaNvbtu+Xps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L/BehXuHqfaBwBEU7hfVLcXvS4VQv+T/vaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq+k4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S/tkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP+EaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP/dsZ8+fP75D/9Uu5Gs3FY/2SxPld0DHOciXI9gqjcEidXjE+3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8+LTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7++wW4gRDRbaxw2nrOGm+xOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot/FpHvIUjJovFEoYvHYV9C5Y/xN9OfcalvII37UEhTbTg/AQIaPb4Vz6j5u8/aViycMod/fkDcpu8QZbZoeBi/vbzP3XPsZvOubMtaPHkD9jt6+U2O7vqU/9C9SMvgrXpQNG/E0oJxun+CiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp/VAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y+pGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr+P2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr+P30f3OkPQ72aO0xYo3/EsmO3QO5qEF8S0qQH0UsKXv0brnl9+8M7jF174+DsfvPOl1au/RL5/9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x+4ofw+3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ+pYl+Sf8YcurfmXP5F/kj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0/OM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw+1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g+Rn533qkocdvLs2HmhU75br/MmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3/3pYNi3bS+Rd+GjOfVpAPNd6y64Gsz1GaZleWIPoYL/v9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk/Iojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB/36kP+K38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL+x03nhh+oNo5e77psxg9Q5LzebIKD+fsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O/kdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P/F7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF/BRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm+RdmIJQST/ZfVdudUvh9S/qqNvqT98g9SQ3lHibZY0mRVHooyDN/FHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi+d0s4+ztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr+1VZFcEZ/PdJkn1hOs8SXS/NFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq+rbyg1Z+O8VsNC1UmcvORPRfxtPrfRwL2p/oA1eZp6Z/aGffoewaXcA/xBlKlQLfhQL/oPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp/bXh5e5YXW2Ngfvza0ZF6UgFL/E0fTq4LBlvTE2qb/KuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8/VWi33c3bBZnGY05+dm+3qc7fNmj4YGKLj2nfqFP+g7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j+SYEWHlZ0K/Hgsh/Ztsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D+YVyKd0jw3iumwi/BC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc/J5uGm6CViW5mulYMk+HqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br+fcLyoAyu8D9B7bgmzUqfFobF5nKnK4+t8MPJkI/xHUNWk117jugWF+xazTAALQn6+UE9lhoI5ApGA/iuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL/3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n+jspIsHFjJrTOdzSMuOa9DbDcj/nH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U/8JbJZPJJLBLolH1La/RbF9AbC8JJjv/mMnssKjLRBJyqj9QXxNko0Ux/X79epfiXkm6fmKwF/en1HLc6LxloXWKvGa5rVCVL83VuiPcDEX/K5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS/kTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv/36k2sbqCeCFNa+URpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR+D79H56NOz0EVWCTy2/fffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ+T/El3uZqL+FyzSZ8XxpTiI/G0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ+euOeG2SORmKZr/qKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya+vlKqv6aXK1qIj3imL+L6hL+yvUlFfE0VKZ7E8gBY3M/8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry/LgZIlCeP11Z4zs/AwvVwtGFEut5S1JY4lfyT0N/evOLo+rUEgjcqc9IkGpQbv3iW7Co5b+KgjvpzYdH85PLcc4X21ouwEGl/S4qnUAvoSlXUUhR1eKr2VWFTB+GMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH/qPepXQ0Db77CJOAImohB+RPWr31ev5g/kE+zTa4lbvZo8xdWPffQu9yJTPCNB66s+zXoJt/0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0+3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80+UxfUHPlBZIRVNQ+v0xRm8REKPoLmNr0+Uo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV/+mfr0C0r/NkeXbbpPlOTBBwT0mVz1zx9S/wJecBF9Wgv3p032iP2v4VSgfgW2G+HUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt/QRasn2kri+H6L80MJRsmVYJrAKyDItpJUy3/15WYIJqcJ9Q5N/LFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb+IP8gHed+6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha/fJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG/XbOFz+Tcq2MLrcmV28Nmi/OHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw+luPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs+31Wm5qpH+iJWSzqdPr2O7zc2TmtnrzCig6bBd/vgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I/MAp9q9S3Q/clADNm1wEeO+xbwg5OIYHZLY3ehG5lJk2xhco+6JWybpEVz2wrR6hZyD0QXZbeDVB+onmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P+1fAll+SyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y+cf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY/f+ucuMtCuP/e4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn/+7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7/6B23+f+sp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz/Q0hI0m3NKDRfkgsrnamo+p0CAq1FyvC3a3Nak/s5VX282x9Ufy3E39VAx6o7LpCvO2wK+ch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5+jP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00/Wavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR+gufwA8GegxUEo4A+gd0BASHiH6jYMLIsUdQJTs/C641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW+AMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA/xUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA/E+DXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX/k/7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh/TK18StOPhwG9Xo5mqXAxvw/79YQwwDR+nAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw+oTFqxtz8dxwtogBnF9MjIl/in+K8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O+GC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6/OC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx+v1UKPsfvzQU0Kc83i2VdILmd2/yX55zT9luN2+Cu4nKfwPcK/CvDVU+pHh8+LaldIf1fA5h3ndT6Fln9/W/9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW/uib/ud+VK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M+VG0KsUdgdvpgP/6NqqP0/gHZFUfGEijZLHpiIgvV5/Bltrj8Qd7XQd5p4P+7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z/vvacG/rjpsvnpzs0B1Id6fmX8119l88XnOxe/uGrzzHcdu7UtY3+2vmXN5zUyj3ZcPl8p1sZSs6/nGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q+lwg1RdRSpFDNzosb44YJXnAfoEOpZW//6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21/BWW5DnPQbn2X1WK43/aM2n18DfSoybbNHijFpamzXI31eRibGUOxSu/lT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO/VjC/EinToFyoNDz2p9XD6g78WgQdPG7Z3R0T/Z5dTM9lsL8Ktek7szl2L+gQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T/4VeamYPlLtffdQsk+2sUTY/zDXl/05W53/Bz9UK3p7LjapZ2ZxOm+UlZXrL3HHGqO8+wVroDaCTTnTxitMxmiAAYQzVJQH+nj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj/9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz+3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62/qN/tjQxnSnhnKPw+LNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh/LvQZnt0evgIhTFV0kE/PYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8/Cj1Y9NY6cnGVW0CjTLaz7E3epvaT/LtTV72Rs+0WVVmd0dz/MGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf/z+fdka+eKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ+bewnf18ap4Ib+mSMrtDU5zqlD8QANa5MBGh/OwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq+7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2+YuMbmE9dwGYB4KFTsvnDE6Ah47r/fE3AYI+oXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU/A/Jsw+vWDa/7emewLaoeibaF1B9qUNnuqWK3+UfXYVL1v/omD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk+gk8pL0mcCDOn08MDAQlf+/SlTZ1z12fnqntOhbOTL9/ZdevbAPN+yby1f/uUtC/ixm8ZBo59LTXEW060hGrTDplNprWd58fwB/b/E27BdS/s7U+rGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt+Kh6HN4ti6lxIhT/wahnZtWwzlY9QHQ2c79C+dxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah/PFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn+2MnYv36dbMDBTonl/T/ma5IKAyEGz+4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK/yp/gLEBVat5WnPDdKA574ubuFJ/IUfZ/Y2Nt6mN+ZNNTSTaeI56gKwkXerTe9DDHUw8/H35FY3nNN7GGuBKWhrV9ep+0k1WjNWVaHkW1yA+QHWNu8rtBw2a5YXuE40rs7/GA+j09V3hA98yRnFPOGr8ltGlsFdD/7tRce3LH6Trcneuiy7K7J3khKu+3qUaXPWaX7T6/Kfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM+0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz+XmcOs1H31U6cC6RTVLfCg7RNBF1UF2/wBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH+WC0E1qOGtP66s1MYv+VLu8/XFXvV/ZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86/1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp/lYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm0MhG1+x1SXwLpFi53b+aHRYo/IrbZtuWAKu5cSEXfybnnmUCaXGTpQr0xK2O2WWY76f+nAjNVf7nCZHU5XqIkTnpt6VtvsFlPXg1031g/VRdpkkyVpD7jnmax88QwDvg/66NnMRdRXTcGTmQc3cuINwN5IQqi0yzb+YFVHuVqI5s4ADfg5oE4ybDLd28mFSFmYvRoomsWXEdLU2Wl3GJy93ZNb/d5gqmNaqJZSO1l6PVRy0nZIj/45EetjLguh1rLqR+SK0hO6NrsqcNX8zoUdjQYDJ7tb4os6+i+Y0qpY2AWlnLRDWdGFTfGY1gV0zNAtJ7pdo24se0D88AwLY/gZmE9iuP4V5v7CSR/RThaHLh+UeBkXwU6BC7lGOevK65udTv+tS/PfW7qj3ljTcj3b9OkbV85t8xsMj7Ddj7DGpthZKwKPvso/c/1K9aLE12fMWLV1y1D9ua8lyJdWXr/bG+noCFutf/mLILe39ITUV4igr3876fpX5g2zeB52sWnIL4fXHlgeUzOx5QfIvJQyrKQE9wHUqVq+PEaOrz0wVvNbJZVSfsuMzxN4l9PkedFzw9V5Dj+nzpgoT4ZxCxJfC5RWLc74YVHxKlExCYt0JAOMatREhHBSCAtSfod6x6Ls8HCWECLwXZ9nd5Dz1T24JUdWs6fU3++fcnT49Qe+kBs+wdsMZgPXMp3U5S958snPP/EE7bvkOPCuTUDTUQ/UzirLhML9yPahoe1D5Fj5jWsaoveyP00PehdUAHk/seDVWsvDWXXXsyn/4wfpXc2V3/Qxli3jl/5hj/83avSCfpTNxOEKLmTjxOEKuxgNlsQn0xgct724mhynupNW1Ph6o3RYS3/+2TJrzLlkFz+ip3qCHKf6eqW02QJLjBYuuj4sobhCWqa/YHGEHpcnumuWSOhxeaL7sOakNR6vvmo+YcfFA8UFXEPZf9UjyudIOyNwx/i90DdsujS/FX2UAwvWSVK4NxaMhAGw3oowp/uc8CTi7D2rBgZWwb/60faR7SPsEbjkXy4G0XaqhXPwe2cePjxjxuHD6ssQuR1fq6PF0E+o2t1nePTn8TUmxz/A3crMoCc7egESuoTHYc7mYdg6etORoOhR7BBGD+qJopELrl4S6cJNRtEAsLP/OdvnJq0Wo0GolY2Et9VFB2Kf+4bZvVyxfOMz3WdFfSIryj6DwWghre7aQbdiDrkTL3A3vNDuDpk93HqXwam+bWmUJZfNn5ozKV5Pmmq8PF/jVY+2Tlk2M2RzSXKjmbQ4RZcQavEYrN/9rlXwtIQqzxQNMzPPfHYLvuPoO9TbT8bpGw5CQPGd+SyX/Cyf0Vxjd2R9NmsunnXYa8xGHzn+sSfM5J0y0DZEXWWxkXjcR75KBLNLHi7XvX2G8VOrf4Ykg0AMdBESIpo7MgAfyakA6rkqpI6UjNs0px7cMV+D5BF49Tez1VGnYmq0WIijp985m4Sn2gJR9b07riPPFo97OYbUZbxJCpot7H/lpZBicglCPN7WOfJkcHqc3ElWqvvz/1E6bIQrG+tz6WkM1SM9FBTR7FSs8KyBBytSmNEoquJNFN5EQyTiCrnKDx1h58yxCepPHU5nxGoxEQeeOZi2m80DxNxncVhr6BmEfUarxejw+WSiHhWk19bSY7aKR5MsteblJpfTLtjimBouXsm3d3djjYM+wEW0El9dM/ueVRWIsXwe43R7SgbVZqrnqoJ1X/kuF7pcgf8duv4q6vayV5U9zMV91GxO59UUjW8rHV6u799WzKMT7umRCXbYUKM+foaCcwgaoqZUtmodV3p+X7akb4dnU9B9La38RPFUG2SCC90tVA4XwEFhyOpZZrUCsgWYHsczLFBBVGNtstoN1bw0Z+O4fYIbvZVt4EUcJEKOhHeincWqONw+q6w5Go+WGOSR7LhKV+KBqbBPpfUvOf9QqkpDyVhBeyyZQGMsdA5FBUqvFMtUyGq9vjnsAJU4UcrxldP1CCaofyDkSAifoP5QwWx+SyUGxp75BzGAvtG7uQ38LehlyEQMeh0TeE6Bm7tYdXqdkt0uOb3kfYlNwmOdDyacOq/qlFo1v+PTmTi3E/glC9W11b34A22zmLzvb231Q0L2Bgg60OTW4YdstO+YOJnO38TtpH7zy9ymokWyA79qlVSn38HtpFlImFnhu3b4boNWXklOXV0Iwo7lQ1hrZyPFcwtjwFP7iEKSHSSJw509kh8kj6pr+H1jR7km9vcvqN9657vffefkv+fKxge1X+7RdjYUPIESN7gTvRkB/RMYtEkaVkdHApmdBPpnKmz0n1xSWFOyVIuLrinZwpoCRe6kyiVZoHX088F+UX4+WKS4iBTP0IWxGtZgOdMaV4KTayqHQF/VihBwTbgDXTCmKoOBJeNhwJMzEVjtjIFLuU38fPR7hqNG1JS7g/qRCuy3vmQ3W9Vu8qbVbP+SzazGRJH83MzP90Ck2m31mMjP8TiLn5uwD2Ugr2PFvPQjB5BnSJvQxGQZZEB+LopqzGzDbMmbkAPkZVJjeO5FzOSBKCgJze2ZS4Gemc9twrwY6u9H61iUQTcRvtdT9RW3tRxAWwFs2tcuJRnI6xjmBdWjbgFNRHMHiF1uHYBfUR/ut5Ug2jXAaT96+9RH/FToRwIzGbKmVJ1AZQnoabSB1yyIg7ByAridHApPMjyw0OiV6RjSbCuzwLAvFizBliWJua1tsuAgvNPbmljYbpt8lkWam7b3XZiOiKJskMOtmfScnsbPW208knwjuXrXK4Q1iKIgNyYXXDVT9C2Ye/78GQ5BEEXfFdde2RwauOysdJNL5AzCy84ard/nGAVN8alecnFdgu5Gbd5DJTL+hHZK0vApVy3OfU8XTSJg1TlssivsPYUlIqvn66PzrVTymCc4wgF6SDNR0pDf+9Gp+VnsUH5WtpHYsuhOaey8zdwLN47V8MTbm78g687+P3cx6tcAeNpjYGRgYGBk8s0/zBIfz2/zlUGeZQNQhOFCWfF0GP0/8P8c1jusIkAuBwMTSBQAYwQM6HjaY2BkYGAV+d8KJgP/XWG9wwAUQQGLAYqPBl942n1TvUoDQRCe1VM8kWARjNrZGIurBAsRBIuA2vkAFsJiKTYW4guIjT5ARMgTxCLoA1hcb5OgDyGHrY7f7M65e8fpLF++2W/nZ2eTmGfaIJi5I0qGDlZZcD51QzTTJirZPAI9JIwVA+wT8L5nOdMaV0AuMJ+icRHq8of6LSD18fzq8ds7xjpwBnQiSI9V5QVl6NwPvgM15NXn/AtWZyj3W0HjEXitOc/dIdbetPdFTZ+P6t+X7xU0/k6GJtOe1/B3arN0/pmz1J4UZc+D6ExwjD7vioeGd5HvhvU+R+DZcGZ6YBPNfAi0G97iBPwFXqph2cW8+D7kjMfwtinHb6kLb6Wygk3cZytSEoptGrlScdHtLPeri1JKueACMZfU1ViJG1Sq5E43dIt7SZZFl1zuRhb/GOs44xFVDbrJzB5tYs35OmaXTrEmkv0DajnMWQB42mNgYNCCwk0MLxheMPrhgUuY2JiUmOqY2pjWMD1hdmPOY+5hPsLCwWLEksSyiOUOawzrLrYiti/sCuxJ7Kc45DiSOPZxmnG2cG7jvMelweXDNYXrEbcBdxf3KR4OngheLd443g18fHwZfFv4NfiX8T8TEBIIEZggsEpQS7BMcJsQl5CFUI3QAWEp4RLhCyJaIldEbURXiJ4RYxEzE0sQ2yD2TzxIfJkEk4SeRJbENIkNEg8k/klqSGZITpE8InlL8p2UmVSG1A6pb9Jx0ltkjGSmyDySlZF1kc2RnSK7R/aZnJ5cmdwB+ST5SwpuCvsUjRTLFHcoOShNU9qhzKespGyhXKV8SPmBCpOKgUqcyjSVR6omqgmqe9RE1OrUnqkHqO9R/6FholGgsUZzgeYZLTUtL60WbS7tKh0OnQydXTpvdGV0O3S/6Gnopekt0ruhz6fvpl+nv0n/h4GdQYvBJUMhwwTDdYYvjFSM4oxmGd0zVjK2M84w3mYiYZJgssLkkqmO6TzTF2Z2ZjVmd8ylzP3MJ5lfsRCwcLJoszhhyWXpZdlhecZKxirHapbVPesF1ndsJGwCbBbZ/LA1sn1jZ2XXY3fFXsM+z36V/S8HD4cGh2OOTI51ThJOK5zeOUs4OzmXOS9wPuUi4JLgss7lm2uU6zY3NrcSty1u39zN3Mvct7l/8xDzMPLw88jyaPM44ynkaeEZ59niucqLyUvPKwgAn3OqOQAAAQAAARcApwARAAAAAAACAAAAAQABAAAAQAAuAAAAAHjarZK9TgJBEMf/d6CRaAyRhMLqCgsbL4ciglTGRPEjSiSKlnLycXJ86CEniU/hM9jYWPgIFkYfwd6nsDD+d1mBIIUx3mZnfzs3MzszuwDCeIYG8UUwQxmAFgxxPeeuyxrmcaNYxzTuFAewi0fFQSTxqXgM11pC8TgS2oPiCUS1d8Uh8ofiSczpYcVT5LjiCPlY8Qui+ncOr7D02y6/BTCrP/m+b5bdTrPi2I26Z9qNGtbRQBMdXMJBGRW0YOCecxEWYoiTCvxrYBunqHPdoX2bLOyrMKlZg8thDETw5K7Itci1TXlGy0124QRZZLDFU/exhxztMozlosTpMH6ZPge0L+OKGnFKjJ4WRwppHPL0PP3SI2P9jLQwFOu3GRhDfkeyDo//G7IHgzllZQxLdquvrdCyBVvat3seJlYo06gxapUxhU2JWnFygR03sSxnEkvcpf5Y5eibGq315TDp7fKWm8zbUVl71Aqq/ZtNnlkWmLnQtno9ycvXYbA6W2pF3aKfCayyC0Ja7Fr/PW70/HO4YM0OKxFvzf0C1MyPjwAAeNpt1VWUU2cYRuHsgxenQt1d8/3JOUnqAyR1d/cCLQVKO22pu7tQd3d3d3d3d3cXmGzumrWy3pWLs/NdPDMpZaWu1783l1Lpf14MnfzO6FbqVupfGkD30iR60JNe9KYP09CXfvRnAAMZxGCGMG3pW6ZjemZgKDMyEzMzC7MyG7MzB3MyF3MzD/MyH/OzAAuyEAuzCIuyGIuzBGWCRIUqOQU16jRYkqVYmmVYluVYng6GMZwRNGmxAiuyEiuzCquyGquzBmuyFmuzDuuyHuuzARuyERuzCZuyGZuzBVuyFVuzDduyHdszklGMZgd2ZAw7MZZxjGdnJrALu9LJbuzOHkxkT/Zib/ZhX/Zjfw7gQA7iYA7hUA7jcI7gSI7iaI7hWI7jeE7gRE7iZE5hEqdyGqdzBmdyFmdzDudyHudzARdyERdzCZdyGZdzBVdyFVdzDddyHddzAzdyEzdzC7dyG7dzB3dyF3dzD/dyH/fzAA/yEA/zCI/yGI/zBE/yFE/zDM/yHM/zAi/yEi/zCq/yGq/zBm/yFm/zDu/yHu/zAR/yER/zCZ/yGZ/zBV/yFV/zDd/yHd/zAz/yEz/zC7/yG7/zB3/yF3/zD/9mpYwsy7pl3bMeWc+sV9Y765NNk/XN+mX9swHZwGxQNjgb0nPkmInjR0V7Uq/OsaPL5Y7ylE3l8tQNN7kVt+rmbuHW3LrbcDvam1rtzVvdm50TxrU/DBvRtZUY1rV5a3jXFn550Wo/XDNWK3dFmh7X9LimxzU9qulRTY9qelTTo5rlKLt2wk7YiaprL+yFvbAX9pK9ZC/ZS/aSvWQv2Uv2kr1kr2KvYq9ir2KvYq9ir2KvYq9ir2Kvaq9qr2qvaq9qr2qvaq9qr2qvai+3l9vL7eX2cnu5vdxebi+3l9sr7BV2CjuFncJOYaewU9gp7NTs1LyrZq9mr2avZq9mr2avZq9mr26vbq9ur26vbq9ur26vbq9ur26vYa9hr2GvYa9hr2GvYa/R7oXuQ/eh+2j/UU7e3C3cqc/V3fYdof/Qf+g/9B/6D/2H/kP/of/Qf+g/9B/6D/2H/kP/of/Qf+g/9B/6D/2H/kP/of/Qf+g/9B/6D/2H/kP/of/Qf+g/9B/6D92H7kP3ofvQfeg+dB+6D92H7kP3ofvQfRT29B/6D/2H/kP/of/Qf+g/9B/6D/2H/kP/of/Qf+g/9B/6D/2H/kP/of/Qf+g/9B/6D/2H/kP/of/Qf+g/9B/6j6nuG3Ya7U5q/0hN3nCTW3Grbu4Wrs/rP+k/6T/pP+k/6T/pP+k+6T7pPek86TzpPOk86TzpOuk66TrpOuk66TrpOlWmPu/36zrpOuk66TrpOuk66TrpOvl/Pek76TvpO+k76TvpO+k76TvpO+k76TvpO7V9t+qtVs/OaOURU6bo6PgPt6rZbwAAAAABVFDDFwAA) format('woff'),url(data:application/x-font-truetype;base64,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) format('truetype'),url(data:image/svg+xml;base64,<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
<font-face units-per-em="1200" ascent="960" descent="-240" />
<missing-glyph horiz-adv-x="500" />
<glyph horiz-adv-x="0" />
<glyph horiz-adv-x="400" />
<glyph unicode=" " />
<glyph unicode="*" d="M600 1100q15 0 34 -1.5t30 -3.5l11 -1q10 -2 17.5 -10.5t7.5 -18.5v-224l158 158q7 7 18 8t19 -6l106 -106q7 -8 6 -19t-8 -18l-158 -158h224q10 0 18.5 -7.5t10.5 -17.5q6 -41 6 -75q0 -15 -1.5 -34t-3.5 -30l-1 -11q-2 -10 -10.5 -17.5t-18.5 -7.5h-224l158 -158 q7 -7 8 -18t-6 -19l-106 -106q-8 -7 -19 -6t-18 8l-158 158v-224q0 -10 -7.5 -18.5t-17.5 -10.5q-41 -6 -75 -6q-15 0 -34 1.5t-30 3.5l-11 1q-10 2 -17.5 10.5t-7.5 18.5v224l-158 -158q-7 -7 -18 -8t-19 6l-106 106q-7 8 -6 19t8 18l158 158h-224q-10 0 -18.5 7.5 t-10.5 17.5q-6 41 -6 75q0 15 1.5 34t3.5 30l1 11q2 10 10.5 17.5t18.5 7.5h224l-158 158q-7 7 -8 18t6 19l106 106q8 7 19 6t18 -8l158 -158v224q0 10 7.5 18.5t17.5 10.5q41 6 75 6z" />
<glyph unicode="+" d="M450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-350h350q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-350v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v350h-350q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5 h350v350q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xa0;" />
<glyph unicode="&#xa5;" d="M825 1100h250q10 0 12.5 -5t-5.5 -13l-364 -364q-6 -6 -11 -18h268q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-100h275q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-174q0 -11 -7.5 -18.5t-18.5 -7.5h-148q-11 0 -18.5 7.5t-7.5 18.5v174 h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h125v100h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h118q-5 12 -11 18l-364 364q-8 8 -5.5 13t12.5 5h250q25 0 43 -18l164 -164q8 -8 18 -8t18 8l164 164q18 18 43 18z" />
<glyph unicode="&#x2000;" horiz-adv-x="650" />
<glyph unicode="&#x2001;" horiz-adv-x="1300" />
<glyph unicode="&#x2002;" horiz-adv-x="650" />
<glyph unicode="&#x2003;" horiz-adv-x="1300" />
<glyph unicode="&#x2004;" horiz-adv-x="433" />
<glyph unicode="&#x2005;" horiz-adv-x="325" />
<glyph unicode="&#x2006;" horiz-adv-x="216" />
<glyph unicode="&#x2007;" horiz-adv-x="216" />
<glyph unicode="&#x2008;" horiz-adv-x="162" />
<glyph unicode="&#x2009;" horiz-adv-x="260" />
<glyph unicode="&#x200a;" horiz-adv-x="72" />
<glyph unicode="&#x202f;" horiz-adv-x="260" />
<glyph unicode="&#x205f;" horiz-adv-x="325" />
<glyph unicode="&#x20ac;" d="M744 1198q242 0 354 -189q60 -104 66 -209h-181q0 45 -17.5 82.5t-43.5 61.5t-58 40.5t-60.5 24t-51.5 7.5q-19 0 -40.5 -5.5t-49.5 -20.5t-53 -38t-49 -62.5t-39 -89.5h379l-100 -100h-300q-6 -50 -6 -100h406l-100 -100h-300q9 -74 33 -132t52.5 -91t61.5 -54.5t59 -29 t47 -7.5q22 0 50.5 7.5t60.5 24.5t58 41t43.5 61t17.5 80h174q-30 -171 -128 -278q-107 -117 -274 -117q-206 0 -324 158q-36 48 -69 133t-45 204h-217l100 100h112q1 47 6 100h-218l100 100h134q20 87 51 153.5t62 103.5q117 141 297 141z" />
<glyph unicode="&#x20bd;" d="M428 1200h350q67 0 120 -13t86 -31t57 -49.5t35 -56.5t17 -64.5t6.5 -60.5t0.5 -57v-16.5v-16.5q0 -36 -0.5 -57t-6.5 -61t-17 -65t-35 -57t-57 -50.5t-86 -31.5t-120 -13h-178l-2 -100h288q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-138v-175q0 -11 -5.5 -18 t-15.5 -7h-149q-10 0 -17.5 7.5t-7.5 17.5v175h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v100h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v475q0 10 7.5 17.5t17.5 7.5zM600 1000v-300h203q64 0 86.5 33t22.5 119q0 84 -22.5 116t-86.5 32h-203z" />
<glyph unicode="&#x2212;" d="M250 700h800q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#x231b;" d="M1000 1200v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-50v-100q0 -91 -49.5 -165.5t-130.5 -109.5q81 -35 130.5 -109.5t49.5 -165.5v-150h50q21 0 35.5 -14.5t14.5 -35.5v-150h-800v150q0 21 14.5 35.5t35.5 14.5h50v150q0 91 49.5 165.5t130.5 109.5q-81 35 -130.5 109.5 t-49.5 165.5v100h-50q-21 0 -35.5 14.5t-14.5 35.5v150h800zM400 1000v-100q0 -60 32.5 -109.5t87.5 -73.5q28 -12 44 -37t16 -55t-16 -55t-44 -37q-55 -24 -87.5 -73.5t-32.5 -109.5v-150h400v150q0 60 -32.5 109.5t-87.5 73.5q-28 12 -44 37t-16 55t16 55t44 37 q55 24 87.5 73.5t32.5 109.5v100h-400z" />
<glyph unicode="&#x25fc;" horiz-adv-x="500" d="M0 0z" />
<glyph unicode="&#x2601;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -206.5q0 -121 -85 -207.5t-205 -86.5h-750q-79 0 -135.5 57t-56.5 137q0 69 42.5 122.5t108.5 67.5q-2 12 -2 37q0 153 108 260.5t260 107.5z" />
<glyph unicode="&#x26fa;" d="M774 1193.5q16 -9.5 20.5 -27t-5.5 -33.5l-136 -187l467 -746h30q20 0 35 -18.5t15 -39.5v-42h-1200v42q0 21 15 39.5t35 18.5h30l468 746l-135 183q-10 16 -5.5 34t20.5 28t34 5.5t28 -20.5l111 -148l112 150q9 16 27 20.5t34 -5zM600 200h377l-182 112l-195 534v-646z " />
<glyph unicode="&#x2709;" d="M25 1100h1150q10 0 12.5 -5t-5.5 -13l-564 -567q-8 -8 -18 -8t-18 8l-564 567q-8 8 -5.5 13t12.5 5zM18 882l264 -264q8 -8 8 -18t-8 -18l-264 -264q-8 -8 -13 -5.5t-5 12.5v550q0 10 5 12.5t13 -5.5zM918 618l264 264q8 8 13 5.5t5 -12.5v-550q0 -10 -5 -12.5t-13 5.5 l-264 264q-8 8 -8 18t8 18zM818 482l364 -364q8 -8 5.5 -13t-12.5 -5h-1150q-10 0 -12.5 5t5.5 13l364 364q8 8 18 8t18 -8l164 -164q8 -8 18 -8t18 8l164 164q8 8 18 8t18 -8z" />
<glyph unicode="&#x270f;" d="M1011 1210q19 0 33 -13l153 -153q13 -14 13 -33t-13 -33l-99 -92l-214 214l95 96q13 14 32 14zM1013 800l-615 -614l-214 214l614 614zM317 96l-333 -112l110 335z" />
<glyph unicode="&#xe001;" d="M700 650v-550h250q21 0 35.5 -14.5t14.5 -35.5v-50h-800v50q0 21 14.5 35.5t35.5 14.5h250v550l-500 550h1200z" />
<glyph unicode="&#xe002;" d="M368 1017l645 163q39 15 63 0t24 -49v-831q0 -55 -41.5 -95.5t-111.5 -63.5q-79 -25 -147 -4.5t-86 75t25.5 111.5t122.5 82q72 24 138 8v521l-600 -155v-606q0 -42 -44 -90t-109 -69q-79 -26 -147 -5.5t-86 75.5t25.5 111.5t122.5 82.5q72 24 138 7v639q0 38 14.5 59 t53.5 34z" />
<glyph unicode="&#xe003;" d="M500 1191q100 0 191 -39t156.5 -104.5t104.5 -156.5t39 -191l-1 -2l1 -5q0 -141 -78 -262l275 -274q23 -26 22.5 -44.5t-22.5 -42.5l-59 -58q-26 -20 -46.5 -20t-39.5 20l-275 274q-119 -77 -261 -77l-5 1l-2 -1q-100 0 -191 39t-156.5 104.5t-104.5 156.5t-39 191 t39 191t104.5 156.5t156.5 104.5t191 39zM500 1022q-88 0 -162 -43t-117 -117t-43 -162t43 -162t117 -117t162 -43t162 43t117 117t43 162t-43 162t-117 117t-162 43z" />
<glyph unicode="&#xe005;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104z" />
<glyph unicode="&#xe006;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429z" />
<glyph unicode="&#xe007;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429zM477 700h-240l197 -142l-74 -226 l193 139l195 -140l-74 229l192 140h-234l-78 211z" />
<glyph unicode="&#xe008;" d="M600 1200q124 0 212 -88t88 -212v-250q0 -46 -31 -98t-69 -52v-75q0 -10 6 -21.5t15 -17.5l358 -230q9 -5 15 -16.5t6 -21.5v-93q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v93q0 10 6 21.5t15 16.5l358 230q9 6 15 17.5t6 21.5v75q-38 0 -69 52 t-31 98v250q0 124 88 212t212 88z" />
<glyph unicode="&#xe009;" d="M25 1100h1150q10 0 17.5 -7.5t7.5 -17.5v-1050q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v1050q0 10 7.5 17.5t17.5 7.5zM100 1000v-100h100v100h-100zM875 1000h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5t17.5 -7.5h550 q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM1000 1000v-100h100v100h-100zM100 800v-100h100v100h-100zM1000 800v-100h100v100h-100zM100 600v-100h100v100h-100zM1000 600v-100h100v100h-100zM875 500h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5 t17.5 -7.5h550q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM100 400v-100h100v100h-100zM1000 400v-100h100v100h-100zM100 200v-100h100v100h-100zM1000 200v-100h100v100h-100z" />
<glyph unicode="&#xe010;" d="M50 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM50 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe011;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM850 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 700h200q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h200 q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5 t35.5 14.5z" />
<glyph unicode="&#xe012;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h700q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe013;" d="M465 477l571 571q8 8 18 8t17 -8l177 -177q8 -7 8 -17t-8 -18l-783 -784q-7 -8 -17.5 -8t-17.5 8l-384 384q-8 8 -8 18t8 17l177 177q7 8 17 8t18 -8l171 -171q7 -7 18 -7t18 7z" />
<glyph unicode="&#xe014;" d="M904 1083l178 -179q8 -8 8 -18.5t-8 -17.5l-267 -268l267 -268q8 -7 8 -17.5t-8 -18.5l-178 -178q-8 -8 -18.5 -8t-17.5 8l-268 267l-268 -267q-7 -8 -17.5 -8t-18.5 8l-178 178q-8 8 -8 18.5t8 17.5l267 268l-267 268q-8 7 -8 17.5t8 18.5l178 178q8 8 18.5 8t17.5 -8 l268 -267l268 268q7 7 17.5 7t18.5 -7z" />
<glyph unicode="&#xe015;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM425 900h150q10 0 17.5 -7.5t7.5 -17.5v-75h75q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5 t-17.5 -7.5h-75v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-75q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v75q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe016;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM325 800h350q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-350q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe017;" d="M550 1200h100q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM800 975v166q167 -62 272 -209.5t105 -331.5q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5 t-184.5 123t-123 184.5t-45.5 224q0 184 105 331.5t272 209.5v-166q-103 -55 -165 -155t-62 -220q0 -116 57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5q0 120 -62 220t-165 155z" />
<glyph unicode="&#xe018;" d="M1025 1200h150q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM725 800h150q10 0 17.5 -7.5t7.5 -17.5v-750q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v750 q0 10 7.5 17.5t17.5 7.5zM425 500h150q10 0 17.5 -7.5t7.5 -17.5v-450q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v450q0 10 7.5 17.5t17.5 7.5zM125 300h150q10 0 17.5 -7.5t7.5 -17.5v-250q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5 v250q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe019;" d="M600 1174q33 0 74 -5l38 -152l5 -1q49 -14 94 -39l5 -2l134 80q61 -48 104 -105l-80 -134l3 -5q25 -44 39 -93l1 -6l152 -38q5 -43 5 -73q0 -34 -5 -74l-152 -38l-1 -6q-15 -49 -39 -93l-3 -5l80 -134q-48 -61 -104 -105l-134 81l-5 -3q-44 -25 -94 -39l-5 -2l-38 -151 q-43 -5 -74 -5q-33 0 -74 5l-38 151l-5 2q-49 14 -94 39l-5 3l-134 -81q-60 48 -104 105l80 134l-3 5q-25 45 -38 93l-2 6l-151 38q-6 42 -6 74q0 33 6 73l151 38l2 6q13 48 38 93l3 5l-80 134q47 61 105 105l133 -80l5 2q45 25 94 39l5 1l38 152q43 5 74 5zM600 815 q-89 0 -152 -63t-63 -151.5t63 -151.5t152 -63t152 63t63 151.5t-63 151.5t-152 63z" />
<glyph unicode="&#xe020;" d="M500 1300h300q41 0 70.5 -29.5t29.5 -70.5v-100h275q10 0 17.5 -7.5t7.5 -17.5v-75h-1100v75q0 10 7.5 17.5t17.5 7.5h275v100q0 41 29.5 70.5t70.5 29.5zM500 1200v-100h300v100h-300zM1100 900v-800q0 -41 -29.5 -70.5t-70.5 -29.5h-700q-41 0 -70.5 29.5t-29.5 70.5 v800h900zM300 800v-700h100v700h-100zM500 800v-700h100v700h-100zM700 800v-700h100v700h-100zM900 800v-700h100v700h-100z" />
<glyph unicode="&#xe021;" d="M18 618l620 608q8 7 18.5 7t17.5 -7l608 -608q8 -8 5.5 -13t-12.5 -5h-175v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v375h-300v-375q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v575h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe022;" d="M600 1200v-400q0 -41 29.5 -70.5t70.5 -29.5h300v-650q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5h450zM1000 800h-250q-21 0 -35.5 14.5t-14.5 35.5v250z" />
<glyph unicode="&#xe023;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h50q10 0 17.5 -7.5t7.5 -17.5v-275h175q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe024;" d="M1300 0h-538l-41 400h-242l-41 -400h-538l431 1200h209l-21 -300h162l-20 300h208zM515 800l-27 -300h224l-27 300h-170z" />
<glyph unicode="&#xe025;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-450h191q20 0 25.5 -11.5t-7.5 -27.5l-327 -400q-13 -16 -32 -16t-32 16l-327 400q-13 16 -7.5 27.5t25.5 11.5h191v450q0 21 14.5 35.5t35.5 14.5zM1125 400h50q10 0 17.5 -7.5t7.5 -17.5v-350q0 -10 -7.5 -17.5t-17.5 -7.5 h-1050q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h50q10 0 17.5 -7.5t7.5 -17.5v-175h900v175q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe026;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -275q-13 -16 -32 -16t-32 16l-223 275q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z " />
<glyph unicode="&#xe027;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM632 914l223 -275q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5l223 275q13 16 32 16 t32 -16z" />
<glyph unicode="&#xe028;" d="M225 1200h750q10 0 19.5 -7t12.5 -17l186 -652q7 -24 7 -49v-425q0 -12 -4 -27t-9 -17q-12 -6 -37 -6h-1100q-12 0 -27 4t-17 8q-6 13 -6 38l1 425q0 25 7 49l185 652q3 10 12.5 17t19.5 7zM878 1000h-556q-10 0 -19 -7t-11 -18l-87 -450q-2 -11 4 -18t16 -7h150 q10 0 19.5 -7t11.5 -17l38 -152q2 -10 11.5 -17t19.5 -7h250q10 0 19.5 7t11.5 17l38 152q2 10 11.5 17t19.5 7h150q10 0 16 7t4 18l-87 450q-2 11 -11 18t-19 7z" />
<glyph unicode="&#xe029;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM540 820l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe030;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-362q0 -10 -7.5 -17.5t-17.5 -7.5h-362q-11 0 -13 5.5t5 12.5l133 133q-109 76 -238 76q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5h150q0 -117 -45.5 -224 t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117z" />
<glyph unicode="&#xe031;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-361q0 -11 -7.5 -18.5t-18.5 -7.5h-361q-11 0 -13 5.5t5 12.5l134 134q-110 75 -239 75q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5h-150q0 117 45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117zM1027 600h150 q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5q-192 0 -348 118l-134 -134q-7 -8 -12.5 -5.5t-5.5 12.5v360q0 11 7.5 18.5t18.5 7.5h360q10 0 12.5 -5.5t-5.5 -12.5l-133 -133q110 -76 240 -76q116 0 214.5 57t155.5 155.5t57 214.5z" />
<glyph unicode="&#xe032;" d="M125 1200h1050q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-1050q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM1075 1000h-850q-10 0 -17.5 -7.5t-7.5 -17.5v-850q0 -10 7.5 -17.5t17.5 -7.5h850q10 0 17.5 7.5t7.5 17.5v850 q0 10 -7.5 17.5t-17.5 7.5zM325 900h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 900h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 700h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 700h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 500h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 500h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 300h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 300h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe033;" d="M900 800v200q0 83 -58.5 141.5t-141.5 58.5h-300q-82 0 -141 -59t-59 -141v-200h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h900q41 0 70.5 29.5t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5h-100zM400 800v150q0 21 15 35.5t35 14.5h200 q20 0 35 -14.5t15 -35.5v-150h-300z" />
<glyph unicode="&#xe034;" d="M125 1100h50q10 0 17.5 -7.5t7.5 -17.5v-1075h-100v1075q0 10 7.5 17.5t17.5 7.5zM1075 1052q4 0 9 -2q16 -6 16 -23v-421q0 -6 -3 -12q-33 -59 -66.5 -99t-65.5 -58t-56.5 -24.5t-52.5 -6.5q-26 0 -57.5 6.5t-52.5 13.5t-60 21q-41 15 -63 22.5t-57.5 15t-65.5 7.5 q-85 0 -160 -57q-7 -5 -15 -5q-6 0 -11 3q-14 7 -14 22v438q22 55 82 98.5t119 46.5q23 2 43 0.5t43 -7t32.5 -8.5t38 -13t32.5 -11q41 -14 63.5 -21t57 -14t63.5 -7q103 0 183 87q7 8 18 8z" />
<glyph unicode="&#xe035;" d="M600 1175q116 0 227 -49.5t192.5 -131t131 -192.5t49.5 -227v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v300q0 127 -70.5 231.5t-184.5 161.5t-245 57t-245 -57t-184.5 -161.5t-70.5 -231.5v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50 q-10 0 -17.5 7.5t-7.5 17.5v300q0 116 49.5 227t131 192.5t192.5 131t227 49.5zM220 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460q0 8 6 14t14 6zM820 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460 q0 8 6 14t14 6z" />
<glyph unicode="&#xe036;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM900 668l120 120q7 7 17 7t17 -7l34 -34q7 -7 7 -17t-7 -17l-120 -120l120 -120q7 -7 7 -17 t-7 -17l-34 -34q-7 -7 -17 -7t-17 7l-120 119l-120 -119q-7 -7 -17 -7t-17 7l-34 34q-7 7 -7 17t7 17l119 120l-119 120q-7 7 -7 17t7 17l34 34q7 8 17 8t17 -8z" />
<glyph unicode="&#xe037;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6 l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238q-6 8 -4.5 18t9.5 17l29 22q7 5 15 5z" />
<glyph unicode="&#xe038;" d="M967 1004h3q11 -1 17 -10q135 -179 135 -396q0 -105 -34 -206.5t-98 -185.5q-7 -9 -17 -10h-3q-9 0 -16 6l-42 34q-8 6 -9 16t5 18q111 150 111 328q0 90 -29.5 176t-84.5 157q-6 9 -5 19t10 16l42 33q7 5 15 5zM321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5 t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238 q-6 8 -4.5 18.5t9.5 16.5l29 22q7 5 15 5z" />
<glyph unicode="&#xe039;" d="M500 900h100v-100h-100v-100h-400v-100h-100v600h500v-300zM1200 700h-200v-100h200v-200h-300v300h-200v300h-100v200h600v-500zM100 1100v-300h300v300h-300zM800 1100v-300h300v300h-300zM300 900h-100v100h100v-100zM1000 900h-100v100h100v-100zM300 500h200v-500 h-500v500h200v100h100v-100zM800 300h200v-100h-100v-100h-200v100h-100v100h100v200h-200v100h300v-300zM100 400v-300h300v300h-300zM300 200h-100v100h100v-100zM1200 200h-100v100h100v-100zM700 0h-100v100h100v-100zM1200 0h-300v100h300v-100z" />
<glyph unicode="&#xe040;" d="M100 200h-100v1000h100v-1000zM300 200h-100v1000h100v-1000zM700 200h-200v1000h200v-1000zM900 200h-100v1000h100v-1000zM1200 200h-200v1000h200v-1000zM400 0h-300v100h300v-100zM600 0h-100v91h100v-91zM800 0h-100v91h100v-91zM1100 0h-200v91h200v-91z" />
<glyph unicode="&#xe041;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe042;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM800 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-56 56l424 426l-700 700h150zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5 t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe043;" d="M300 1200h825q75 0 75 -75v-900q0 -25 -18 -43l-64 -64q-8 -8 -13 -5.5t-5 12.5v950q0 10 -7.5 17.5t-17.5 7.5h-700q-25 0 -43 -18l-64 -64q-8 -8 -5.5 -13t12.5 -5h700q10 0 17.5 -7.5t7.5 -17.5v-950q0 -10 -7.5 -17.5t-17.5 -7.5h-850q-10 0 -17.5 7.5t-7.5 17.5v975 q0 25 18 43l139 139q18 18 43 18z" />
<glyph unicode="&#xe044;" d="M250 1200h800q21 0 35.5 -14.5t14.5 -35.5v-1150l-450 444l-450 -445v1151q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe045;" d="M822 1200h-444q-11 0 -19 -7.5t-9 -17.5l-78 -301q-7 -24 7 -45l57 -108q6 -9 17.5 -15t21.5 -6h450q10 0 21.5 6t17.5 15l62 108q14 21 7 45l-83 301q-1 10 -9 17.5t-19 7.5zM1175 800h-150q-10 0 -21 -6.5t-15 -15.5l-78 -156q-4 -9 -15 -15.5t-21 -6.5h-550 q-10 0 -21 6.5t-15 15.5l-78 156q-4 9 -15 15.5t-21 6.5h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-650q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h750q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5 t7.5 17.5v650q0 10 -7.5 17.5t-17.5 7.5zM850 200h-500q-10 0 -19.5 -7t-11.5 -17l-38 -152q-2 -10 3.5 -17t15.5 -7h600q10 0 15.5 7t3.5 17l-38 152q-2 10 -11.5 17t-19.5 7z" />
<glyph unicode="&#xe046;" d="M500 1100h200q56 0 102.5 -20.5t72.5 -50t44 -59t25 -50.5l6 -20h150q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5h150q2 8 6.5 21.5t24 48t45 61t72 48t102.5 21.5zM900 800v-100 h100v100h-100zM600 730q-95 0 -162.5 -67.5t-67.5 -162.5t67.5 -162.5t162.5 -67.5t162.5 67.5t67.5 162.5t-67.5 162.5t-162.5 67.5zM600 603q43 0 73 -30t30 -73t-30 -73t-73 -30t-73 30t-30 73t30 73t73 30z" />
<glyph unicode="&#xe047;" d="M681 1199l385 -998q20 -50 60 -92q18 -19 36.5 -29.5t27.5 -11.5l10 -2v-66h-417v66q53 0 75 43.5t5 88.5l-82 222h-391q-58 -145 -92 -234q-11 -34 -6.5 -57t25.5 -37t46 -20t55 -6v-66h-365v66q56 24 84 52q12 12 25 30.5t20 31.5l7 13l399 1006h93zM416 521h340 l-162 457z" />
<glyph unicode="&#xe048;" d="M753 641q5 -1 14.5 -4.5t36 -15.5t50.5 -26.5t53.5 -40t50.5 -54.5t35.5 -70t14.5 -87q0 -67 -27.5 -125.5t-71.5 -97.5t-98.5 -66.5t-108.5 -40.5t-102 -13h-500v89q41 7 70.5 32.5t29.5 65.5v827q0 24 -0.5 34t-3.5 24t-8.5 19.5t-17 13.5t-28 12.5t-42.5 11.5v71 l471 -1q57 0 115.5 -20.5t108 -57t80.5 -94t31 -124.5q0 -51 -15.5 -96.5t-38 -74.5t-45 -50.5t-38.5 -30.5zM400 700h139q78 0 130.5 48.5t52.5 122.5q0 41 -8.5 70.5t-29.5 55.5t-62.5 39.5t-103.5 13.5h-118v-350zM400 200h216q80 0 121 50.5t41 130.5q0 90 -62.5 154.5 t-156.5 64.5h-159v-400z" />
<glyph unicode="&#xe049;" d="M877 1200l2 -57q-83 -19 -116 -45.5t-40 -66.5l-132 -839q-9 -49 13 -69t96 -26v-97h-500v97q186 16 200 98l173 832q3 17 3 30t-1.5 22.5t-9 17.5t-13.5 12.5t-21.5 10t-26 8.5t-33.5 10q-13 3 -19 5v57h425z" />
<glyph unicode="&#xe050;" d="M1300 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM175 1000h-75v-800h75l-125 -167l-125 167h75v800h-75l125 167z" />
<glyph unicode="&#xe051;" d="M1100 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-650q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v650h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM1167 50l-167 -125v75h-800v-75l-167 125l167 125v-75h800v75z" />
<glyph unicode="&#xe052;" d="M50 1100h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe053;" d="M250 1100h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM250 500h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe054;" d="M500 950v100q0 21 14.5 35.5t35.5 14.5h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5zM100 650v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000 q-21 0 -35.5 14.5t-14.5 35.5zM300 350v100q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5zM0 50v100q0 21 14.5 35.5t35.5 14.5h1100q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5z" />
<glyph unicode="&#xe055;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe056;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 1100h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 800h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 500h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 500h800q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 200h800 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe057;" d="M400 0h-100v1100h100v-1100zM550 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM267 550l-167 -125v75h-200v100h200v75zM550 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe058;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM900 0h-100v1100h100v-1100zM50 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM1100 600h200v-100h-200v-75l-167 125l167 125v-75zM50 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe059;" d="M75 1000h750q31 0 53 -22t22 -53v-650q0 -31 -22 -53t-53 -22h-750q-31 0 -53 22t-22 53v650q0 31 22 53t53 22zM1200 300l-300 300l300 300v-600z" />
<glyph unicode="&#xe060;" d="M44 1100h1112q18 0 31 -13t13 -31v-1012q0 -18 -13 -31t-31 -13h-1112q-18 0 -31 13t-13 31v1012q0 18 13 31t31 13zM100 1000v-737l247 182l298 -131l-74 156l293 318l236 -288v500h-1000zM342 884q56 0 95 -39t39 -94.5t-39 -95t-95 -39.5t-95 39.5t-39 95t39 94.5 t95 39z" />
<glyph unicode="&#xe062;" d="M648 1169q117 0 216 -60t156.5 -161t57.5 -218q0 -115 -70 -258q-69 -109 -158 -225.5t-143 -179.5l-54 -62q-9 8 -25.5 24.5t-63.5 67.5t-91 103t-98.5 128t-95.5 148q-60 132 -60 249q0 88 34 169.5t91.5 142t137 96.5t166.5 36zM652.5 974q-91.5 0 -156.5 -65 t-65 -157t65 -156.5t156.5 -64.5t156.5 64.5t65 156.5t-65 157t-156.5 65z" />
<glyph unicode="&#xe063;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 173v854q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57z" />
<glyph unicode="&#xe064;" d="M554 1295q21 -72 57.5 -143.5t76 -130t83 -118t82.5 -117t70 -116t49.5 -126t18.5 -136.5q0 -71 -25.5 -135t-68.5 -111t-99 -82t-118.5 -54t-125.5 -23q-84 5 -161.5 34t-139.5 78.5t-99 125t-37 164.5q0 69 18 136.5t49.5 126.5t69.5 116.5t81.5 117.5t83.5 119 t76.5 131t58.5 143zM344 710q-23 -33 -43.5 -70.5t-40.5 -102.5t-17 -123q1 -37 14.5 -69.5t30 -52t41 -37t38.5 -24.5t33 -15q21 -7 32 -1t13 22l6 34q2 10 -2.5 22t-13.5 19q-5 4 -14 12t-29.5 40.5t-32.5 73.5q-26 89 6 271q2 11 -6 11q-8 1 -15 -10z" />
<glyph unicode="&#xe065;" d="M1000 1013l108 115q2 1 5 2t13 2t20.5 -1t25 -9.5t28.5 -21.5q22 -22 27 -43t0 -32l-6 -10l-108 -115zM350 1100h400q50 0 105 -13l-187 -187h-368q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v182l200 200v-332 q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM1009 803l-362 -362l-161 -50l55 170l355 355z" />
<glyph unicode="&#xe066;" d="M350 1100h361q-164 -146 -216 -200h-195q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5l200 153v-103q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M824 1073l339 -301q8 -7 8 -17.5t-8 -17.5l-340 -306q-7 -6 -12.5 -4t-6.5 11v203q-26 1 -54.5 0t-78.5 -7.5t-92 -17.5t-86 -35t-70 -57q10 59 33 108t51.5 81.5t65 58.5t68.5 40.5t67 24.5t56 13.5t40 4.5v210q1 10 6.5 12.5t13.5 -4.5z" />
<glyph unicode="&#xe067;" d="M350 1100h350q60 0 127 -23l-178 -177h-349q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v69l200 200v-219q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M643 639l395 395q7 7 17.5 7t17.5 -7l101 -101q7 -7 7 -17.5t-7 -17.5l-531 -532q-7 -7 -17.5 -7t-17.5 7l-248 248q-7 7 -7 17.5t7 17.5l101 101q7 7 17.5 7t17.5 -7l111 -111q8 -7 18 -7t18 7z" />
<glyph unicode="&#xe068;" d="M318 918l264 264q8 8 18 8t18 -8l260 -264q7 -8 4.5 -13t-12.5 -5h-170v-200h200v173q0 10 5 12t13 -5l264 -260q8 -7 8 -17.5t-8 -17.5l-264 -265q-8 -7 -13 -5t-5 12v173h-200v-200h170q10 0 12.5 -5t-4.5 -13l-260 -264q-8 -8 -18 -8t-18 8l-264 264q-8 8 -5.5 13 t12.5 5h175v200h-200v-173q0 -10 -5 -12t-13 5l-264 265q-8 7 -8 17.5t8 17.5l264 260q8 7 13 5t5 -12v-173h200v200h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe069;" d="M250 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe070;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5 t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe071;" d="M1200 1050v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-492 480q-15 14 -15 35t15 35l492 480q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25z" />
<glyph unicode="&#xe072;" d="M243 1074l814 -498q18 -11 18 -26t-18 -26l-814 -498q-18 -11 -30.5 -4t-12.5 28v1000q0 21 12.5 28t30.5 -4z" />
<glyph unicode="&#xe073;" d="M250 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM650 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe074;" d="M1100 950v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe075;" d="M500 612v438q0 21 10.5 25t25.5 -10l492 -480q15 -14 15 -35t-15 -35l-492 -480q-15 -14 -25.5 -10t-10.5 25v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10z" />
<glyph unicode="&#xe076;" d="M1048 1102l100 1q20 0 35 -14.5t15 -35.5l5 -1000q0 -21 -14.5 -35.5t-35.5 -14.5l-100 -1q-21 0 -35.5 14.5t-14.5 35.5l-2 437l-463 -454q-14 -15 -24.5 -10.5t-10.5 25.5l-2 437l-462 -455q-15 -14 -25.5 -9.5t-10.5 24.5l-5 1000q0 21 10.5 25.5t25.5 -10.5l466 -450 l-2 438q0 20 10.5 24.5t25.5 -9.5l466 -451l-2 438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe077;" d="M850 1100h100q21 0 35.5 -14.5t14.5 -35.5v-1000q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10l464 -453v438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe078;" d="M686 1081l501 -540q15 -15 10.5 -26t-26.5 -11h-1042q-22 0 -26.5 11t10.5 26l501 540q15 15 36 15t36 -15zM150 400h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe079;" d="M885 900l-352 -353l352 -353l-197 -198l-552 552l552 550z" />
<glyph unicode="&#xe080;" d="M1064 547l-551 -551l-198 198l353 353l-353 353l198 198z" />
<glyph unicode="&#xe081;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM650 900h-100q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-150 q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5h150v-150q0 -21 14.5 -35.5t35.5 -14.5h100q21 0 35.5 14.5t14.5 35.5v150h150q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-150v150q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe082;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM850 700h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5 t35.5 -14.5h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe083;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM741.5 913q-12.5 0 -21.5 -9l-120 -120l-120 120q-9 9 -21.5 9 t-21.5 -9l-141 -141q-9 -9 -9 -21.5t9 -21.5l120 -120l-120 -120q-9 -9 -9 -21.5t9 -21.5l141 -141q9 -9 21.5 -9t21.5 9l120 120l120 -120q9 -9 21.5 -9t21.5 9l141 141q9 9 9 21.5t-9 21.5l-120 120l120 120q9 9 9 21.5t-9 21.5l-141 141q-9 9 -21.5 9z" />
<glyph unicode="&#xe084;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM546 623l-84 85q-7 7 -17.5 7t-18.5 -7l-139 -139q-7 -8 -7 -18t7 -18 l242 -241q7 -8 17.5 -8t17.5 8l375 375q7 7 7 17.5t-7 18.5l-139 139q-7 7 -17.5 7t-17.5 -7z" />
<glyph unicode="&#xe085;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM588 941q-29 0 -59 -5.5t-63 -20.5t-58 -38.5t-41.5 -63t-16.5 -89.5 q0 -25 20 -25h131q30 -5 35 11q6 20 20.5 28t45.5 8q20 0 31.5 -10.5t11.5 -28.5q0 -23 -7 -34t-26 -18q-1 0 -13.5 -4t-19.5 -7.5t-20 -10.5t-22 -17t-18.5 -24t-15.5 -35t-8 -46q-1 -8 5.5 -16.5t20.5 -8.5h173q7 0 22 8t35 28t37.5 48t29.5 74t12 100q0 47 -17 83 t-42.5 57t-59.5 34.5t-64 18t-59 4.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe086;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM675 1000h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5 t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5zM675 700h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h75v-200h-75q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h350q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5 t-17.5 7.5h-75v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe087;" d="M525 1200h150q10 0 17.5 -7.5t7.5 -17.5v-194q103 -27 178.5 -102.5t102.5 -178.5h194q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-194q-27 -103 -102.5 -178.5t-178.5 -102.5v-194q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v194 q-103 27 -178.5 102.5t-102.5 178.5h-194q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h194q27 103 102.5 178.5t178.5 102.5v194q0 10 7.5 17.5t17.5 7.5zM700 893v-168q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v168q-68 -23 -119 -74 t-74 -119h168q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-168q23 -68 74 -119t119 -74v168q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-168q68 23 119 74t74 119h-168q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h168 q-23 68 -74 119t-119 74z" />
<glyph unicode="&#xe088;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM759 823l64 -64q7 -7 7 -17.5t-7 -17.5l-124 -124l124 -124q7 -7 7 -17.5t-7 -17.5l-64 -64q-7 -7 -17.5 -7t-17.5 7l-124 124l-124 -124q-7 -7 -17.5 -7t-17.5 7l-64 64 q-7 7 -7 17.5t7 17.5l124 124l-124 124q-7 7 -7 17.5t7 17.5l64 64q7 7 17.5 7t17.5 -7l124 -124l124 124q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe089;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM782 788l106 -106q7 -7 7 -17.5t-7 -17.5l-320 -321q-8 -7 -18 -7t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l197 197q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe090;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5q0 -120 65 -225 l587 587q-105 65 -225 65zM965 819l-584 -584q104 -62 219 -62q116 0 214.5 57t155.5 155.5t57 214.5q0 115 -62 219z" />
<glyph unicode="&#xe091;" d="M39 582l522 427q16 13 27.5 8t11.5 -26v-291h550q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-550v-291q0 -21 -11.5 -26t-27.5 8l-522 427q-16 13 -16 32t16 32z" />
<glyph unicode="&#xe092;" d="M639 1009l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291h-550q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h550v291q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe093;" d="M682 1161l427 -522q13 -16 8 -27.5t-26 -11.5h-291v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v550h-291q-21 0 -26 11.5t8 27.5l427 522q13 16 32 16t32 -16z" />
<glyph unicode="&#xe094;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-550h291q21 0 26 -11.5t-8 -27.5l-427 -522q-13 -16 -32 -16t-32 16l-427 522q-13 16 -8 27.5t26 11.5h291v550q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe095;" d="M639 1109l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291q-94 -2 -182 -20t-170.5 -52t-147 -92.5t-100.5 -135.5q5 105 27 193.5t67.5 167t113 135t167 91.5t225.5 42v262q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe096;" d="M850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5zM350 0h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249 q8 7 18 7t18 -7l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5z" />
<glyph unicode="&#xe097;" d="M1014 1120l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249q8 7 18 7t18 -7zM250 600h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5z" />
<glyph unicode="&#xe101;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM704 900h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5 t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe102;" d="M260 1200q9 0 19 -2t15 -4l5 -2q22 -10 44 -23l196 -118q21 -13 36 -24q29 -21 37 -12q11 13 49 35l196 118q22 13 45 23q17 7 38 7q23 0 47 -16.5t37 -33.5l13 -16q14 -21 18 -45l25 -123l8 -44q1 -9 8.5 -14.5t17.5 -5.5h61q10 0 17.5 -7.5t7.5 -17.5v-50 q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 -7.5t-7.5 -17.5v-175h-400v300h-200v-300h-400v175q0 10 -7.5 17.5t-17.5 7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5h61q11 0 18 3t7 8q0 4 9 52l25 128q5 25 19 45q2 3 5 7t13.5 15t21.5 19.5t26.5 15.5 t29.5 7zM915 1079l-166 -162q-7 -7 -5 -12t12 -5h219q10 0 15 7t2 17l-51 149q-3 10 -11 12t-15 -6zM463 917l-177 157q-8 7 -16 5t-11 -12l-51 -143q-3 -10 2 -17t15 -7h231q11 0 12.5 5t-5.5 12zM500 0h-375q-10 0 -17.5 7.5t-7.5 17.5v375h400v-400zM1100 400v-375 q0 -10 -7.5 -17.5t-17.5 -7.5h-375v400h400z" />
<glyph unicode="&#xe103;" d="M1165 1190q8 3 21 -6.5t13 -17.5q-2 -178 -24.5 -323.5t-55.5 -245.5t-87 -174.5t-102.5 -118.5t-118 -68.5t-118.5 -33t-120 -4.5t-105 9.5t-90 16.5q-61 12 -78 11q-4 1 -12.5 0t-34 -14.5t-52.5 -40.5l-153 -153q-26 -24 -37 -14.5t-11 43.5q0 64 42 102q8 8 50.5 45 t66.5 58q19 17 35 47t13 61q-9 55 -10 102.5t7 111t37 130t78 129.5q39 51 80 88t89.5 63.5t94.5 45t113.5 36t129 31t157.5 37t182 47.5zM1116 1098q-8 9 -22.5 -3t-45.5 -50q-38 -47 -119 -103.5t-142 -89.5l-62 -33q-56 -30 -102 -57t-104 -68t-102.5 -80.5t-85.5 -91 t-64 -104.5q-24 -56 -31 -86t2 -32t31.5 17.5t55.5 59.5q25 30 94 75.5t125.5 77.5t147.5 81q70 37 118.5 69t102 79.5t99 111t86.5 148.5q22 50 24 60t-6 19z" />
<glyph unicode="&#xe104;" d="M653 1231q-39 -67 -54.5 -131t-10.5 -114.5t24.5 -96.5t47.5 -80t63.5 -62.5t68.5 -46.5t65 -30q-4 7 -17.5 35t-18.5 39.5t-17 39.5t-17 43t-13 42t-9.5 44.5t-2 42t4 43t13.5 39t23 38.5q96 -42 165 -107.5t105 -138t52 -156t13 -159t-19 -149.5q-13 -55 -44 -106.5 t-68 -87t-78.5 -64.5t-72.5 -45t-53 -22q-72 -22 -127 -11q-31 6 -13 19q6 3 17 7q13 5 32.5 21t41 44t38.5 63.5t21.5 81.5t-6.5 94.5t-50 107t-104 115.5q10 -104 -0.5 -189t-37 -140.5t-65 -93t-84 -52t-93.5 -11t-95 24.5q-80 36 -131.5 114t-53.5 171q-2 23 0 49.5 t4.5 52.5t13.5 56t27.5 60t46 64.5t69.5 68.5q-8 -53 -5 -102.5t17.5 -90t34 -68.5t44.5 -39t49 -2q31 13 38.5 36t-4.5 55t-29 64.5t-36 75t-26 75.5q-15 85 2 161.5t53.5 128.5t85.5 92.5t93.5 61t81.5 25.5z" />
<glyph unicode="&#xe105;" d="M600 1094q82 0 160.5 -22.5t140 -59t116.5 -82.5t94.5 -95t68 -95t42.5 -82.5t14 -57.5t-14 -57.5t-43 -82.5t-68.5 -95t-94.5 -95t-116.5 -82.5t-140 -59t-159.5 -22.5t-159.5 22.5t-140 59t-116.5 82.5t-94.5 95t-68.5 95t-43 82.5t-14 57.5t14 57.5t42.5 82.5t68 95 t94.5 95t116.5 82.5t140 59t160.5 22.5zM888 829q-15 15 -18 12t5 -22q25 -57 25 -119q0 -124 -88 -212t-212 -88t-212 88t-88 212q0 59 23 114q8 19 4.5 22t-17.5 -12q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q22 -36 47 -71t70 -82t92.5 -81t113 -58.5t133.5 -24.5 t133.5 24t113 58.5t92.5 81.5t70 81.5t47 70.5q11 18 9 42.5t-14 41.5q-90 117 -163 189zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l35 34q14 15 12.5 33.5t-16.5 33.5q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe106;" d="M592 0h-148l31 120q-91 20 -175.5 68.5t-143.5 106.5t-103.5 119t-66.5 110t-22 76q0 21 14 57.5t42.5 82.5t68 95t94.5 95t116.5 82.5t140 59t160.5 22.5q61 0 126 -15l32 121h148zM944 770l47 181q108 -85 176.5 -192t68.5 -159q0 -26 -19.5 -71t-59.5 -102t-93 -112 t-129 -104.5t-158 -75.5l46 173q77 49 136 117t97 131q11 18 9 42.5t-14 41.5q-54 70 -107 130zM310 824q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q18 -30 39 -60t57 -70.5t74 -73t90 -61t105 -41.5l41 154q-107 18 -178.5 101.5t-71.5 193.5q0 59 23 114q8 19 4.5 22 t-17.5 -12zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l12 11l22 86l-3 4q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe107;" d="M-90 100l642 1066q20 31 48 28.5t48 -35.5l642 -1056q21 -32 7.5 -67.5t-50.5 -35.5h-1294q-37 0 -50.5 34t7.5 66zM155 200h345v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h345l-445 723zM496 700h208q20 0 32 -14.5t8 -34.5l-58 -252 q-4 -20 -21.5 -34.5t-37.5 -14.5h-54q-20 0 -37.5 14.5t-21.5 34.5l-58 252q-4 20 8 34.5t32 14.5z" />
<glyph unicode="&#xe108;" d="M650 1200q62 0 106 -44t44 -106v-339l363 -325q15 -14 26 -38.5t11 -44.5v-41q0 -20 -12 -26.5t-29 5.5l-359 249v-263q100 -93 100 -113v-64q0 -21 -13 -29t-32 1l-205 128l-205 -128q-19 -9 -32 -1t-13 29v64q0 20 100 113v263l-359 -249q-17 -12 -29 -5.5t-12 26.5v41 q0 20 11 44.5t26 38.5l363 325v339q0 62 44 106t106 44z" />
<glyph unicode="&#xe109;" d="M850 1200h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-150h-1100v150q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5h100q21 0 35.5 -14.5t14.5 -35.5v-50h500v50q0 21 14.5 35.5t35.5 14.5zM1100 800v-750q0 -21 -14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v750h1100zM100 600v-100h100v100h-100zM300 600v-100h100v100h-100zM500 600v-100h100v100h-100zM700 600v-100h100v100h-100zM900 600v-100h100v100h-100zM100 400v-100h100v100h-100zM300 400v-100h100v100h-100zM500 400 v-100h100v100h-100zM700 400v-100h100v100h-100zM900 400v-100h100v100h-100zM100 200v-100h100v100h-100zM300 200v-100h100v100h-100zM500 200v-100h100v100h-100zM700 200v-100h100v100h-100zM900 200v-100h100v100h-100z" />
<glyph unicode="&#xe110;" d="M1135 1165l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-159l-600 -600h-291q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h209l600 600h241v150q0 21 10.5 25t24.5 -10zM522 819l-141 -141l-122 122h-209q-21 0 -35.5 14.5 t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h291zM1135 565l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-241l-181 181l141 141l122 -122h159v150q0 21 10.5 25t24.5 -10z" />
<glyph unicode="&#xe111;" d="M100 1100h1000q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-596l-304 -300v300h-100q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5z" />
<glyph unicode="&#xe112;" d="M150 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM850 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM1100 800v-300q0 -41 -3 -77.5t-15 -89.5t-32 -96t-58 -89t-89 -77t-129 -51t-174 -20t-174 20 t-129 51t-89 77t-58 89t-32 96t-15 89.5t-3 77.5v300h300v-250v-27v-42.5t1.5 -41t5 -38t10 -35t16.5 -30t25.5 -24.5t35 -19t46.5 -12t60 -4t60 4.5t46.5 12.5t35 19.5t25 25.5t17 30.5t10 35t5 38t2 40.5t-0.5 42v25v250h300z" />
<glyph unicode="&#xe113;" d="M1100 411l-198 -199l-353 353l-353 -353l-197 199l551 551z" />
<glyph unicode="&#xe114;" d="M1101 789l-550 -551l-551 551l198 199l353 -353l353 353z" />
<glyph unicode="&#xe115;" d="M404 1000h746q21 0 35.5 -14.5t14.5 -35.5v-551h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v401h-381zM135 984l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-400h385l215 -200h-750q-21 0 -35.5 14.5 t-14.5 35.5v550h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe116;" d="M56 1200h94q17 0 31 -11t18 -27l38 -162h896q24 0 39 -18.5t10 -42.5l-100 -475q-5 -21 -27 -42.5t-55 -21.5h-633l48 -200h535q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-50q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-300v-50 q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-31q-18 0 -32.5 10t-20.5 19l-5 10l-201 961h-54q-20 0 -35 14.5t-15 35.5t15 35.5t35 14.5z" />
<glyph unicode="&#xe117;" d="M1200 1000v-100h-1200v100h200q0 41 29.5 70.5t70.5 29.5h300q41 0 70.5 -29.5t29.5 -70.5h500zM0 800h1200v-800h-1200v800z" />
<glyph unicode="&#xe118;" d="M200 800l-200 -400v600h200q0 41 29.5 70.5t70.5 29.5h300q42 0 71 -29.5t29 -70.5h500v-200h-1000zM1500 700l-300 -700h-1200l300 700h1200z" />
<glyph unicode="&#xe119;" d="M635 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-601h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v601h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe120;" d="M936 864l249 -229q14 -15 14 -35.5t-14 -35.5l-249 -229q-15 -15 -25.5 -10.5t-10.5 24.5v151h-600v-151q0 -20 -10.5 -24.5t-25.5 10.5l-249 229q-14 15 -14 35.5t14 35.5l249 229q15 15 25.5 10.5t10.5 -25.5v-149h600v149q0 21 10.5 25.5t25.5 -10.5z" />
<glyph unicode="&#xe121;" d="M1169 400l-172 732q-5 23 -23 45.5t-38 22.5h-672q-20 0 -38 -20t-23 -41l-172 -739h1138zM1100 300h-1000q-41 0 -70.5 -29.5t-29.5 -70.5v-100q0 -41 29.5 -70.5t70.5 -29.5h1000q41 0 70.5 29.5t29.5 70.5v100q0 41 -29.5 70.5t-70.5 29.5zM800 100v100h100v-100h-100 zM1000 100v100h100v-100h-100z" />
<glyph unicode="&#xe122;" d="M1150 1100q21 0 35.5 -14.5t14.5 -35.5v-850q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v850q0 21 14.5 35.5t35.5 14.5zM1000 200l-675 200h-38l47 -276q3 -16 -5.5 -20t-29.5 -4h-7h-84q-20 0 -34.5 14t-18.5 35q-55 337 -55 351v250v6q0 16 1 23.5t6.5 14 t17.5 6.5h200l675 250v-850zM0 750v-250q-4 0 -11 0.5t-24 6t-30 15t-24 30t-11 48.5v50q0 26 10.5 46t25 30t29 16t25.5 7z" />
<glyph unicode="&#xe123;" d="M553 1200h94q20 0 29 -10.5t3 -29.5l-18 -37q83 -19 144 -82.5t76 -140.5l63 -327l118 -173h17q19 0 33 -14.5t14 -35t-13 -40.5t-31 -27q-8 -4 -23 -9.5t-65 -19.5t-103 -25t-132.5 -20t-158.5 -9q-57 0 -115 5t-104 12t-88.5 15.5t-73.5 17.5t-54.5 16t-35.5 12l-11 4 q-18 8 -31 28t-13 40.5t14 35t33 14.5h17l118 173l63 327q15 77 76 140t144 83l-18 32q-6 19 3.5 32t28.5 13zM498 110q50 -6 102 -6q53 0 102 6q-12 -49 -39.5 -79.5t-62.5 -30.5t-63 30.5t-39 79.5z" />
<glyph unicode="&#xe124;" d="M800 946l224 78l-78 -224l234 -45l-180 -155l180 -155l-234 -45l78 -224l-224 78l-45 -234l-155 180l-155 -180l-45 234l-224 -78l78 224l-234 45l180 155l-180 155l234 45l-78 224l224 -78l45 234l155 -180l155 180z" />
<glyph unicode="&#xe125;" d="M650 1200h50q40 0 70 -40.5t30 -84.5v-150l-28 -125h328q40 0 70 -40.5t30 -84.5v-100q0 -45 -29 -74l-238 -344q-16 -24 -38 -40.5t-45 -16.5h-250q-7 0 -42 25t-66 50l-31 25h-61q-45 0 -72.5 18t-27.5 57v400q0 36 20 63l145 196l96 198q13 28 37.5 48t51.5 20z M650 1100l-100 -212l-150 -213v-375h100l136 -100h214l250 375v125h-450l50 225v175h-50zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe126;" d="M600 1100h250q23 0 45 -16.5t38 -40.5l238 -344q29 -29 29 -74v-100q0 -44 -30 -84.5t-70 -40.5h-328q28 -118 28 -125v-150q0 -44 -30 -84.5t-70 -40.5h-50q-27 0 -51.5 20t-37.5 48l-96 198l-145 196q-20 27 -20 63v400q0 39 27.5 57t72.5 18h61q124 100 139 100z M50 1000h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM636 1000l-136 -100h-100v-375l150 -213l100 -212h50v175l-50 225h450v125l-250 375h-214z" />
<glyph unicode="&#xe127;" d="M356 873l363 230q31 16 53 -6l110 -112q13 -13 13.5 -32t-11.5 -34l-84 -121h302q84 0 138 -38t54 -110t-55 -111t-139 -39h-106l-131 -339q-6 -21 -19.5 -41t-28.5 -20h-342q-7 0 -90 81t-83 94v525q0 17 14 35.5t28 28.5zM400 792v-503l100 -89h293l131 339 q6 21 19.5 41t28.5 20h203q21 0 30.5 25t0.5 50t-31 25h-456h-7h-6h-5.5t-6 0.5t-5 1.5t-5 2t-4 2.5t-4 4t-2.5 4.5q-12 25 5 47l146 183l-86 83zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe128;" d="M475 1103l366 -230q2 -1 6 -3.5t14 -10.5t18 -16.5t14.5 -20t6.5 -22.5v-525q0 -13 -86 -94t-93 -81h-342q-15 0 -28.5 20t-19.5 41l-131 339h-106q-85 0 -139.5 39t-54.5 111t54 110t138 38h302l-85 121q-11 15 -10.5 34t13.5 32l110 112q22 22 53 6zM370 945l146 -183 q17 -22 5 -47q-2 -2 -3.5 -4.5t-4 -4t-4 -2.5t-5 -2t-5 -1.5t-6 -0.5h-6h-6.5h-6h-475v-100h221q15 0 29 -20t20 -41l130 -339h294l106 89v503l-342 236zM1050 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5 v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe129;" d="M550 1294q72 0 111 -55t39 -139v-106l339 -131q21 -6 41 -19.5t20 -28.5v-342q0 -7 -81 -90t-94 -83h-525q-17 0 -35.5 14t-28.5 28l-9 14l-230 363q-16 31 6 53l112 110q13 13 32 13.5t34 -11.5l121 -84v302q0 84 38 138t110 54zM600 972v203q0 21 -25 30.5t-50 0.5 t-25 -31v-456v-7v-6v-5.5t-0.5 -6t-1.5 -5t-2 -5t-2.5 -4t-4 -4t-4.5 -2.5q-25 -12 -47 5l-183 146l-83 -86l236 -339h503l89 100v293l-339 131q-21 6 -41 19.5t-20 28.5zM450 200h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe130;" d="M350 1100h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5zM600 306v-106q0 -84 -39 -139t-111 -55t-110 54t-38 138v302l-121 -84q-15 -12 -34 -11.5t-32 13.5l-112 110 q-22 22 -6 53l230 363q1 2 3.5 6t10.5 13.5t16.5 17t20 13.5t22.5 6h525q13 0 94 -83t81 -90v-342q0 -15 -20 -28.5t-41 -19.5zM308 900l-236 -339l83 -86l183 146q22 17 47 5q2 -1 4.5 -2.5t4 -4t2.5 -4t2 -5t1.5 -5t0.5 -6v-5.5v-6v-7v-456q0 -22 25 -31t50 0.5t25 30.5 v203q0 15 20 28.5t41 19.5l339 131v293l-89 100h-503z" />
<glyph unicode="&#xe131;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM914 632l-275 223q-16 13 -27.5 8t-11.5 -26v-137h-275 q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h275v-137q0 -21 11.5 -26t27.5 8l275 223q16 13 16 32t-16 32z" />
<glyph unicode="&#xe132;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM561 855l-275 -223q-16 -13 -16 -32t16 -32l275 -223q16 -13 27.5 -8 t11.5 26v137h275q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5h-275v137q0 21 -11.5 26t-27.5 -8z" />
<glyph unicode="&#xe133;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM855 639l-223 275q-13 16 -32 16t-32 -16l-223 -275q-13 -16 -8 -27.5 t26 -11.5h137v-275q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v275h137q21 0 26 11.5t-8 27.5z" />
<glyph unicode="&#xe134;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM675 900h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-275h-137q-21 0 -26 -11.5 t8 -27.5l223 -275q13 -16 32 -16t32 16l223 275q13 16 8 27.5t-26 11.5h-137v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe135;" d="M600 1176q116 0 222.5 -46t184 -123.5t123.5 -184t46 -222.5t-46 -222.5t-123.5 -184t-184 -123.5t-222.5 -46t-222.5 46t-184 123.5t-123.5 184t-46 222.5t46 222.5t123.5 184t184 123.5t222.5 46zM627 1101q-15 -12 -36.5 -20.5t-35.5 -12t-43 -8t-39 -6.5 q-15 -3 -45.5 0t-45.5 -2q-20 -7 -51.5 -26.5t-34.5 -34.5q-3 -11 6.5 -22.5t8.5 -18.5q-3 -34 -27.5 -91t-29.5 -79q-9 -34 5 -93t8 -87q0 -9 17 -44.5t16 -59.5q12 0 23 -5t23.5 -15t19.5 -14q16 -8 33 -15t40.5 -15t34.5 -12q21 -9 52.5 -32t60 -38t57.5 -11 q7 -15 -3 -34t-22.5 -40t-9.5 -38q13 -21 23 -34.5t27.5 -27.5t36.5 -18q0 -7 -3.5 -16t-3.5 -14t5 -17q104 -2 221 112q30 29 46.5 47t34.5 49t21 63q-13 8 -37 8.5t-36 7.5q-15 7 -49.5 15t-51.5 19q-18 0 -41 -0.5t-43 -1.5t-42 -6.5t-38 -16.5q-51 -35 -66 -12 q-4 1 -3.5 25.5t0.5 25.5q-6 13 -26.5 17.5t-24.5 6.5q1 15 -0.5 30.5t-7 28t-18.5 11.5t-31 -21q-23 -25 -42 4q-19 28 -8 58q6 16 22 22q6 -1 26 -1.5t33.5 -4t19.5 -13.5q7 -12 18 -24t21.5 -20.5t20 -15t15.5 -10.5l5 -3q2 12 7.5 30.5t8 34.5t-0.5 32q-3 18 3.5 29 t18 22.5t15.5 24.5q6 14 10.5 35t8 31t15.5 22.5t34 22.5q-6 18 10 36q8 0 24 -1.5t24.5 -1.5t20 4.5t20.5 15.5q-10 23 -31 42.5t-37.5 29.5t-49 27t-43.5 23q0 1 2 8t3 11.5t1.5 10.5t-1 9.5t-4.5 4.5q31 -13 58.5 -14.5t38.5 2.5l12 5q5 28 -9.5 46t-36.5 24t-50 15 t-41 20q-18 -4 -37 0zM613 994q0 -17 8 -42t17 -45t9 -23q-8 1 -39.5 5.5t-52.5 10t-37 16.5q3 11 16 29.5t16 25.5q10 -10 19 -10t14 6t13.5 14.5t16.5 12.5z" />
<glyph unicode="&#xe136;" d="M756 1157q164 92 306 -9l-259 -138l145 -232l251 126q6 -89 -34 -156.5t-117 -110.5q-60 -34 -127 -39.5t-126 16.5l-596 -596q-15 -16 -36.5 -16t-36.5 16l-111 110q-15 15 -15 36.5t15 37.5l600 599q-34 101 5.5 201.5t135.5 154.5z" />
<glyph unicode="&#xe137;" horiz-adv-x="1220" d="M100 1196h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 1096h-200v-100h200v100zM100 796h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 696h-500v-100h500v100zM100 396h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 296h-300v-100h300v100z " />
<glyph unicode="&#xe138;" d="M150 1200h900q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM700 500v-300l-200 -200v500l-350 500h900z" />
<glyph unicode="&#xe139;" d="M500 1200h200q41 0 70.5 -29.5t29.5 -70.5v-100h300q41 0 70.5 -29.5t29.5 -70.5v-400h-500v100h-200v-100h-500v400q0 41 29.5 70.5t70.5 29.5h300v100q0 41 29.5 70.5t70.5 29.5zM500 1100v-100h200v100h-200zM1200 400v-200q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v200h1200z" />
<glyph unicode="&#xe140;" d="M50 1200h300q21 0 25 -10.5t-10 -24.5l-94 -94l199 -199q7 -8 7 -18t-7 -18l-106 -106q-8 -7 -18 -7t-18 7l-199 199l-94 -94q-14 -14 -24.5 -10t-10.5 25v300q0 21 14.5 35.5t35.5 14.5zM850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-199 -199q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l199 199l-94 94q-14 14 -10 24.5t25 10.5zM364 470l106 -106q7 -8 7 -18t-7 -18l-199 -199l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l199 199 q8 7 18 7t18 -7zM1071 271l94 94q14 14 24.5 10t10.5 -25v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -25 10.5t10 24.5l94 94l-199 199q-7 8 -7 18t7 18l106 106q8 7 18 7t18 -7z" />
<glyph unicode="&#xe141;" d="M596 1192q121 0 231.5 -47.5t190 -127t127 -190t47.5 -231.5t-47.5 -231.5t-127 -190.5t-190 -127t-231.5 -47t-231.5 47t-190.5 127t-127 190.5t-47 231.5t47 231.5t127 190t190.5 127t231.5 47.5zM596 1010q-112 0 -207.5 -55.5t-151 -151t-55.5 -207.5t55.5 -207.5 t151 -151t207.5 -55.5t207.5 55.5t151 151t55.5 207.5t-55.5 207.5t-151 151t-207.5 55.5zM454.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38.5 -16.5t-38.5 16.5t-16 39t16 38.5t38.5 16zM754.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38 -16.5q-14 0 -29 10l-55 -145 q17 -23 17 -51q0 -36 -25.5 -61.5t-61.5 -25.5t-61.5 25.5t-25.5 61.5q0 32 20.5 56.5t51.5 29.5l122 126l1 1q-9 14 -9 28q0 23 16 39t38.5 16zM345.5 709q22.5 0 38.5 -16t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16zM854.5 709q22.5 0 38.5 -16 t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16z" />
<glyph unicode="&#xe142;" d="M546 173l469 470q91 91 99 192q7 98 -52 175.5t-154 94.5q-22 4 -47 4q-34 0 -66.5 -10t-56.5 -23t-55.5 -38t-48 -41.5t-48.5 -47.5q-376 -375 -391 -390q-30 -27 -45 -41.5t-37.5 -41t-32 -46.5t-16 -47.5t-1.5 -56.5q9 -62 53.5 -95t99.5 -33q74 0 125 51l548 548 q36 36 20 75q-7 16 -21.5 26t-32.5 10q-26 0 -50 -23q-13 -12 -39 -38l-341 -338q-15 -15 -35.5 -15.5t-34.5 13.5t-14 34.5t14 34.5q327 333 361 367q35 35 67.5 51.5t78.5 16.5q14 0 29 -1q44 -8 74.5 -35.5t43.5 -68.5q14 -47 2 -96.5t-47 -84.5q-12 -11 -32 -32 t-79.5 -81t-114.5 -115t-124.5 -123.5t-123 -119.5t-96.5 -89t-57 -45q-56 -27 -120 -27q-70 0 -129 32t-93 89q-48 78 -35 173t81 163l511 511q71 72 111 96q91 55 198 55q80 0 152 -33q78 -36 129.5 -103t66.5 -154q17 -93 -11 -183.5t-94 -156.5l-482 -476 q-15 -15 -36 -16t-37 14t-17.5 34t14.5 35z" />
<glyph unicode="&#xe143;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104zM896 972q-33 0 -64.5 -19t-56.5 -46t-47.5 -53.5t-43.5 -45.5t-37.5 -19t-36 19t-40 45.5t-43 53.5t-54 46t-65.5 19q-67 0 -122.5 -55.5t-55.5 -132.5q0 -23 13.5 -51t46 -65t57.5 -63t76 -75l22 -22q15 -14 44 -44t50.5 -51t46 -44t41 -35t23 -12 t23.5 12t42.5 36t46 44t52.5 52t44 43q4 4 12 13q43 41 63.5 62t52 55t46 55t26 46t11.5 44q0 79 -53 133.5t-120 54.5z" />
<glyph unicode="&#xe144;" d="M776.5 1214q93.5 0 159.5 -66l141 -141q66 -66 66 -160q0 -42 -28 -95.5t-62 -87.5l-29 -29q-31 53 -77 99l-18 18l95 95l-247 248l-389 -389l212 -212l-105 -106l-19 18l-141 141q-66 66 -66 159t66 159l283 283q65 66 158.5 66zM600 706l105 105q10 -8 19 -17l141 -141 q66 -66 66 -159t-66 -159l-283 -283q-66 -66 -159 -66t-159 66l-141 141q-66 66 -66 159.5t66 159.5l55 55q29 -55 75 -102l18 -17l-95 -95l247 -248l389 389z" />
<glyph unicode="&#xe145;" d="M603 1200q85 0 162 -15t127 -38t79 -48t29 -46v-953q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-41 0 -70.5 29.5t-29.5 70.5v953q0 21 30 46.5t81 48t129 37.5t163 15zM300 1000v-700h600v700h-600zM600 254q-43 0 -73.5 -30.5t-30.5 -73.5t30.5 -73.5t73.5 -30.5t73.5 30.5 t30.5 73.5t-30.5 73.5t-73.5 30.5z" />
<glyph unicode="&#xe146;" d="M902 1185l283 -282q15 -15 15 -36t-14.5 -35.5t-35.5 -14.5t-35 15l-36 35l-279 -267v-300l-212 210l-308 -307l-280 -203l203 280l307 308l-210 212h300l267 279l-35 36q-15 14 -15 35t14.5 35.5t35.5 14.5t35 -15z" />
<glyph unicode="&#xe148;" d="M700 1248v-78q38 -5 72.5 -14.5t75.5 -31.5t71 -53.5t52 -84t24 -118.5h-159q-4 36 -10.5 59t-21 45t-40 35.5t-64.5 20.5v-307l64 -13q34 -7 64 -16.5t70 -32t67.5 -52.5t47.5 -80t20 -112q0 -139 -89 -224t-244 -97v-77h-100v79q-150 16 -237 103q-40 40 -52.5 93.5 t-15.5 139.5h139q5 -77 48.5 -126t117.5 -65v335l-27 8q-46 14 -79 26.5t-72 36t-63 52t-40 72.5t-16 98q0 70 25 126t67.5 92t94.5 57t110 27v77h100zM600 754v274q-29 -4 -50 -11t-42 -21.5t-31.5 -41.5t-10.5 -65q0 -29 7 -50.5t16.5 -34t28.5 -22.5t31.5 -14t37.5 -10 q9 -3 13 -4zM700 547v-310q22 2 42.5 6.5t45 15.5t41.5 27t29 42t12 59.5t-12.5 59.5t-38 44.5t-53 31t-66.5 24.5z" />
<glyph unicode="&#xe149;" d="M561 1197q84 0 160.5 -40t123.5 -109.5t47 -147.5h-153q0 40 -19.5 71.5t-49.5 48.5t-59.5 26t-55.5 9q-37 0 -79 -14.5t-62 -35.5q-41 -44 -41 -101q0 -26 13.5 -63t26.5 -61t37 -66q6 -9 9 -14h241v-100h-197q8 -50 -2.5 -115t-31.5 -95q-45 -62 -99 -112 q34 10 83 17.5t71 7.5q32 1 102 -16t104 -17q83 0 136 30l50 -147q-31 -19 -58 -30.5t-55 -15.5t-42 -4.5t-46 -0.5q-23 0 -76 17t-111 32.5t-96 11.5q-39 -3 -82 -16t-67 -25l-23 -11l-55 145q4 3 16 11t15.5 10.5t13 9t15.5 12t14.5 14t17.5 18.5q48 55 54 126.5 t-30 142.5h-221v100h166q-23 47 -44 104q-7 20 -12 41.5t-6 55.5t6 66.5t29.5 70.5t58.5 71q97 88 263 88z" />
<glyph unicode="&#xe150;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM935 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-900h-200v900h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe151;" d="M1000 700h-100v100h-100v-100h-100v500h300v-500zM400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM801 1100v-200h100v200h-100zM1000 350l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150z " />
<glyph unicode="&#xe152;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 1050l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150zM1000 0h-100v100h-100v-100h-100v500h300v-500zM801 400v-200h100v200h-100z " />
<glyph unicode="&#xe153;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 700h-100v400h-100v100h200v-500zM1100 0h-100v100h-200v400h300v-500zM901 400v-200h100v200h-100z" />
<glyph unicode="&#xe154;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1100 700h-100v100h-200v400h300v-500zM901 1100v-200h100v200h-100zM1000 0h-100v400h-100v100h200v-500z" />
<glyph unicode="&#xe155;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM900 1000h-200v200h200v-200zM1000 700h-300v200h300v-200zM1100 400h-400v200h400v-200zM1200 100h-500v200h500v-200z" />
<glyph unicode="&#xe156;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1200 1000h-500v200h500v-200zM1100 700h-400v200h400v-200zM1000 400h-300v200h300v-200zM900 100h-200v200h200v-200z" />
<glyph unicode="&#xe157;" d="M350 1100h400q162 0 256 -93.5t94 -256.5v-400q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5z" />
<glyph unicode="&#xe158;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-163 0 -256.5 92.5t-93.5 257.5v400q0 163 94 256.5t256 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM440 770l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe159;" d="M350 1100h400q163 0 256.5 -94t93.5 -256v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 163 92.5 256.5t257.5 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM350 700h400q21 0 26.5 -12t-6.5 -28l-190 -253q-12 -17 -30 -17t-30 17l-190 253q-12 16 -6.5 28t26.5 12z" />
<glyph unicode="&#xe160;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -163 -92.5 -256.5t-257.5 -93.5h-400q-163 0 -256.5 94t-93.5 256v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM580 693l190 -253q12 -16 6.5 -28t-26.5 -12h-400q-21 0 -26.5 12t6.5 28l190 253q12 17 30 17t30 -17z" />
<glyph unicode="&#xe161;" d="M550 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h450q41 0 70.5 29.5t29.5 70.5v500q0 41 -29.5 70.5t-70.5 29.5h-450q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM338 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe162;" d="M793 1182l9 -9q8 -10 5 -27q-3 -11 -79 -225.5t-78 -221.5l300 1q24 0 32.5 -17.5t-5.5 -35.5q-1 0 -133.5 -155t-267 -312.5t-138.5 -162.5q-12 -15 -26 -15h-9l-9 8q-9 11 -4 32q2 9 42 123.5t79 224.5l39 110h-302q-23 0 -31 19q-10 21 6 41q75 86 209.5 237.5 t228 257t98.5 111.5q9 16 25 16h9z" />
<glyph unicode="&#xe163;" d="M350 1100h400q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-450q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h450q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400 q0 165 92.5 257.5t257.5 92.5zM938 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe164;" d="M750 1200h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -10.5 -25t-24.5 10l-109 109l-312 -312q-15 -15 -35.5 -15t-35.5 15l-141 141q-15 15 -15 35.5t15 35.5l312 312l-109 109q-14 14 -10 24.5t25 10.5zM456 900h-156q-41 0 -70.5 -29.5t-29.5 -70.5v-500 q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v148l200 200v-298q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5h300z" />
<glyph unicode="&#xe165;" d="M600 1186q119 0 227.5 -46.5t187 -125t125 -187t46.5 -227.5t-46.5 -227.5t-125 -187t-187 -125t-227.5 -46.5t-227.5 46.5t-187 125t-125 187t-46.5 227.5t46.5 227.5t125 187t187 125t227.5 46.5zM600 1022q-115 0 -212 -56.5t-153.5 -153.5t-56.5 -212t56.5 -212 t153.5 -153.5t212 -56.5t212 56.5t153.5 153.5t56.5 212t-56.5 212t-153.5 153.5t-212 56.5zM600 794q80 0 137 -57t57 -137t-57 -137t-137 -57t-137 57t-57 137t57 137t137 57z" />
<glyph unicode="&#xe166;" d="M450 1200h200q21 0 35.5 -14.5t14.5 -35.5v-350h245q20 0 25 -11t-9 -26l-383 -426q-14 -15 -33.5 -15t-32.5 15l-379 426q-13 15 -8.5 26t25.5 11h250v350q0 21 14.5 35.5t35.5 14.5zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe167;" d="M583 1182l378 -435q14 -15 9 -31t-26 -16h-244v-250q0 -20 -17 -35t-39 -15h-200q-20 0 -32 14.5t-12 35.5v250h-250q-20 0 -25.5 16.5t8.5 31.5l383 431q14 16 33.5 17t33.5 -14zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe168;" d="M396 723l369 369q7 7 17.5 7t17.5 -7l139 -139q7 -8 7 -18.5t-7 -17.5l-525 -525q-7 -8 -17.5 -8t-17.5 8l-292 291q-7 8 -7 18t7 18l139 139q8 7 18.5 7t17.5 -7zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50 h-100z" />
<glyph unicode="&#xe169;" d="M135 1023l142 142q14 14 35 14t35 -14l77 -77l-212 -212l-77 76q-14 15 -14 36t14 35zM655 855l210 210q14 14 24.5 10t10.5 -25l-2 -599q-1 -20 -15.5 -35t-35.5 -15l-597 -1q-21 0 -25 10.5t10 24.5l208 208l-154 155l212 212zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5 v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe170;" d="M350 1200l599 -2q20 -1 35 -15.5t15 -35.5l1 -597q0 -21 -10.5 -25t-24.5 10l-208 208l-155 -154l-212 212l155 154l-210 210q-14 14 -10 24.5t25 10.5zM524 512l-76 -77q-15 -14 -36 -14t-35 14l-142 142q-14 14 -14 35t14 35l77 77zM50 300h1000q21 0 35.5 -14.5 t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe171;" d="M1200 103l-483 276l-314 -399v423h-399l1196 796v-1096zM483 424v-230l683 953z" />
<glyph unicode="&#xe172;" d="M1100 1000v-850q0 -21 -14.5 -35.5t-35.5 -14.5h-150v400h-700v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200z" />
<glyph unicode="&#xe173;" d="M1100 1000l-2 -149l-299 -299l-95 95q-9 9 -21.5 9t-21.5 -9l-149 -147h-312v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1132 638l106 -106q7 -7 7 -17.5t-7 -17.5l-420 -421q-8 -7 -18 -7 t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l297 297q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe174;" d="M1100 1000v-269l-103 -103l-134 134q-15 15 -33.5 16.5t-34.5 -12.5l-266 -266h-329v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1202 572l70 -70q15 -15 15 -35.5t-15 -35.5l-131 -131 l131 -131q15 -15 15 -35.5t-15 -35.5l-70 -70q-15 -15 -35.5 -15t-35.5 15l-131 131l-131 -131q-15 -15 -35.5 -15t-35.5 15l-70 70q-15 15 -15 35.5t15 35.5l131 131l-131 131q-15 15 -15 35.5t15 35.5l70 70q15 15 35.5 15t35.5 -15l131 -131l131 131q15 15 35.5 15 t35.5 -15z" />
<glyph unicode="&#xe175;" d="M1100 1000v-300h-350q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-500v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM850 600h100q21 0 35.5 -14.5t14.5 -35.5v-250h150q21 0 25 -10.5t-10 -24.5 l-230 -230q-14 -14 -35 -14t-35 14l-230 230q-14 14 -10 24.5t25 10.5h150v250q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe176;" d="M1100 1000v-400l-165 165q-14 15 -35 15t-35 -15l-263 -265h-402v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM935 565l230 -229q14 -15 10 -25.5t-25 -10.5h-150v-250q0 -20 -14.5 -35 t-35.5 -15h-100q-21 0 -35.5 15t-14.5 35v250h-150q-21 0 -25 10.5t10 25.5l230 229q14 15 35 15t35 -15z" />
<glyph unicode="&#xe177;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-150h-1200v150q0 21 14.5 35.5t35.5 14.5zM1200 800v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v550h1200zM100 500v-200h400v200h-400z" />
<glyph unicode="&#xe178;" d="M935 1165l248 -230q14 -14 14 -35t-14 -35l-248 -230q-14 -14 -24.5 -10t-10.5 25v150h-400v200h400v150q0 21 10.5 25t24.5 -10zM200 800h-50q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v-200zM400 800h-100v200h100v-200zM18 435l247 230 q14 14 24.5 10t10.5 -25v-150h400v-200h-400v-150q0 -21 -10.5 -25t-24.5 10l-247 230q-15 14 -15 35t15 35zM900 300h-100v200h100v-200zM1000 500h51q20 0 34.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-34.5 -14.5h-51v200z" />
<glyph unicode="&#xe179;" d="M862 1073l276 116q25 18 43.5 8t18.5 -41v-1106q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v397q-4 1 -11 5t-24 17.5t-30 29t-24 42t-11 56.5v359q0 31 18.5 65t43.5 52zM550 1200q22 0 34.5 -12.5t14.5 -24.5l1 -13v-450q0 -28 -10.5 -59.5 t-25 -56t-29 -45t-25.5 -31.5l-10 -11v-447q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v447q-4 4 -11 11.5t-24 30.5t-30 46t-24 55t-11 60v450q0 2 0.5 5.5t4 12t8.5 15t14.5 12t22.5 5.5q20 0 32.5 -12.5t14.5 -24.5l3 -13v-350h100v350v5.5t2.5 12 t7 15t15 12t25.5 5.5q23 0 35.5 -12.5t13.5 -24.5l1 -13v-350h100v350q0 2 0.5 5.5t3 12t7 15t15 12t24.5 5.5z" />
<glyph unicode="&#xe180;" d="M1200 1100v-56q-4 0 -11 -0.5t-24 -3t-30 -7.5t-24 -15t-11 -24v-888q0 -22 25 -34.5t50 -13.5l25 -2v-56h-400v56q75 0 87.5 6.5t12.5 43.5v394h-500v-394q0 -37 12.5 -43.5t87.5 -6.5v-56h-400v56q4 0 11 0.5t24 3t30 7.5t24 15t11 24v888q0 22 -25 34.5t-50 13.5 l-25 2v56h400v-56q-75 0 -87.5 -6.5t-12.5 -43.5v-394h500v394q0 37 -12.5 43.5t-87.5 6.5v56h400z" />
<glyph unicode="&#xe181;" d="M675 1000h375q21 0 35.5 -14.5t14.5 -35.5v-150h-105l-295 -98v98l-200 200h-400l100 100h375zM100 900h300q41 0 70.5 -29.5t29.5 -70.5v-500q0 -41 -29.5 -70.5t-70.5 -29.5h-300q-41 0 -70.5 29.5t-29.5 70.5v500q0 41 29.5 70.5t70.5 29.5zM100 800v-200h300v200 h-300zM1100 535l-400 -133v163l400 133v-163zM100 500v-200h300v200h-300zM1100 398v-248q0 -21 -14.5 -35.5t-35.5 -14.5h-375l-100 -100h-375l-100 100h400l200 200h105z" />
<glyph unicode="&#xe182;" d="M17 1007l162 162q17 17 40 14t37 -22l139 -194q14 -20 11 -44.5t-20 -41.5l-119 -118q102 -142 228 -268t267 -227l119 118q17 17 42.5 19t44.5 -12l192 -136q19 -14 22.5 -37.5t-13.5 -40.5l-163 -162q-3 -1 -9.5 -1t-29.5 2t-47.5 6t-62.5 14.5t-77.5 26.5t-90 42.5 t-101.5 60t-111 83t-119 108.5q-74 74 -133.5 150.5t-94.5 138.5t-60 119.5t-34.5 100t-15 74.5t-4.5 48z" />
<glyph unicode="&#xe183;" d="M600 1100q92 0 175 -10.5t141.5 -27t108.5 -36.5t81.5 -40t53.5 -37t31 -27l9 -10v-200q0 -21 -14.5 -33t-34.5 -9l-202 34q-20 3 -34.5 20t-14.5 38v146q-141 24 -300 24t-300 -24v-146q0 -21 -14.5 -38t-34.5 -20l-202 -34q-20 -3 -34.5 9t-14.5 33v200q3 4 9.5 10.5 t31 26t54 37.5t80.5 39.5t109 37.5t141 26.5t175 10.5zM600 795q56 0 97 -9.5t60 -23.5t30 -28t12 -24l1 -10v-50l365 -303q14 -15 24.5 -40t10.5 -45v-212q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v212q0 20 10.5 45t24.5 40l365 303v50 q0 4 1 10.5t12 23t30 29t60 22.5t97 10z" />
<glyph unicode="&#xe184;" d="M1100 700l-200 -200h-600l-200 200v500h200v-200h200v200h200v-200h200v200h200v-500zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5 t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe185;" d="M700 1100h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-1000h300v1000q0 41 -29.5 70.5t-70.5 29.5zM1100 800h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-700h300v700q0 41 -29.5 70.5t-70.5 29.5zM400 0h-300v400q0 41 29.5 70.5t70.5 29.5h100q41 0 70.5 -29.5t29.5 -70.5v-400z " />
<glyph unicode="&#xe186;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe187;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 300h-100v200h-100v-200h-100v500h100v-200h100v200h100v-500zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe188;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-300h200v-100h-300v500h300v-100zM900 700h-200v-300h200v-100h-300v500h300v-100z" />
<glyph unicode="&#xe189;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 400l-300 150l300 150v-300zM900 550l-300 -150v300z" />
<glyph unicode="&#xe190;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM900 300h-700v500h700v-500zM800 700h-130q-38 0 -66.5 -43t-28.5 -108t27 -107t68 -42h130v300zM300 700v-300 h130q41 0 68 42t27 107t-28.5 108t-66.5 43h-130z" />
<glyph unicode="&#xe191;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 300h-100v400h-100v100h200v-500z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe192;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM300 700h200v-400h-300v500h100v-100zM900 300h-100v400h-100v100h200v-500zM300 600v-200h100v200h-100z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe193;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 500l-199 -200h-100v50l199 200v150h-200v100h300v-300zM900 300h-100v400h-100v100h200v-500zM701 300h-100 v100h100v-100z" />
<glyph unicode="&#xe194;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700h-300v-200h300v-100h-300l-100 100v200l100 100h300v-100z" />
<glyph unicode="&#xe195;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700v-100l-50 -50l100 -100v-50h-100l-100 100h-150v-100h-100v400h300zM500 700v-100h200v100h-200z" />
<glyph unicode="&#xe197;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -207t-85 -207t-205 -86.5h-128v250q0 21 -14.5 35.5t-35.5 14.5h-300q-21 0 -35.5 -14.5t-14.5 -35.5v-250h-222q-80 0 -136 57.5t-56 136.5q0 69 43 122.5t108 67.5q-2 19 -2 37q0 100 49 185 t134 134t185 49zM525 500h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -244q-13 -16 -32 -16t-32 16l-223 244q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe198;" d="M502 1089q110 0 201 -59.5t135 -156.5q43 15 89 15q121 0 206 -86.5t86 -206.5q0 -99 -60 -181t-150 -110l-378 360q-13 16 -31.5 16t-31.5 -16l-381 -365h-9q-79 0 -135.5 57.5t-56.5 136.5q0 69 43 122.5t108 67.5q-2 19 -2 38q0 100 49 184.5t133.5 134t184.5 49.5z M632 467l223 -228q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5q199 204 223 228q19 19 31.5 19t32.5 -19z" />
<glyph unicode="&#xe199;" d="M700 100v100h400l-270 300h170l-270 300h170l-300 333l-300 -333h170l-270 -300h170l-270 -300h400v-100h-50q-21 0 -35.5 -14.5t-14.5 -35.5v-50h400v50q0 21 -14.5 35.5t-35.5 14.5h-50z" />
<glyph unicode="&#xe200;" d="M600 1179q94 0 167.5 -56.5t99.5 -145.5q89 -6 150.5 -71.5t61.5 -155.5q0 -61 -29.5 -112.5t-79.5 -82.5q9 -29 9 -55q0 -74 -52.5 -126.5t-126.5 -52.5q-55 0 -100 30v-251q21 0 35.5 -14.5t14.5 -35.5v-50h-300v50q0 21 14.5 35.5t35.5 14.5v251q-45 -30 -100 -30 q-74 0 -126.5 52.5t-52.5 126.5q0 18 4 38q-47 21 -75.5 65t-28.5 97q0 74 52.5 126.5t126.5 52.5q5 0 23 -2q0 2 -1 10t-1 13q0 116 81.5 197.5t197.5 81.5z" />
<glyph unicode="&#xe201;" d="M1010 1010q111 -111 150.5 -260.5t0 -299t-150.5 -260.5q-83 -83 -191.5 -126.5t-218.5 -43.5t-218.5 43.5t-191.5 126.5q-111 111 -150.5 260.5t0 299t150.5 260.5q83 83 191.5 126.5t218.5 43.5t218.5 -43.5t191.5 -126.5zM476 1065q-4 0 -8 -1q-121 -34 -209.5 -122.5 t-122.5 -209.5q-4 -12 2.5 -23t18.5 -14l36 -9q3 -1 7 -1q23 0 29 22q27 96 98 166q70 71 166 98q11 3 17.5 13.5t3.5 22.5l-9 35q-3 13 -14 19q-7 4 -15 4zM512 920q-4 0 -9 -2q-80 -24 -138.5 -82.5t-82.5 -138.5q-4 -13 2 -24t19 -14l34 -9q4 -1 8 -1q22 0 28 21 q18 58 58.5 98.5t97.5 58.5q12 3 18 13.5t3 21.5l-9 35q-3 12 -14 19q-7 4 -15 4zM719.5 719.5q-49.5 49.5 -119.5 49.5t-119.5 -49.5t-49.5 -119.5t49.5 -119.5t119.5 -49.5t119.5 49.5t49.5 119.5t-49.5 119.5zM855 551q-22 0 -28 -21q-18 -58 -58.5 -98.5t-98.5 -57.5 q-11 -4 -17 -14.5t-3 -21.5l9 -35q3 -12 14 -19q7 -4 15 -4q4 0 9 2q80 24 138.5 82.5t82.5 138.5q4 13 -2.5 24t-18.5 14l-34 9q-4 1 -8 1zM1000 515q-23 0 -29 -22q-27 -96 -98 -166q-70 -71 -166 -98q-11 -3 -17.5 -13.5t-3.5 -22.5l9 -35q3 -13 14 -19q7 -4 15 -4 q4 0 8 1q121 34 209.5 122.5t122.5 209.5q4 12 -2.5 23t-18.5 14l-36 9q-3 1 -7 1z" />
<glyph unicode="&#xe202;" d="M700 800h300v-380h-180v200h-340v-200h-380v755q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM700 300h162l-212 -212l-212 212h162v200h100v-200zM520 0h-395q-10 0 -17.5 7.5t-7.5 17.5v395zM1000 220v-195q0 -10 -7.5 -17.5t-17.5 -7.5h-195z" />
<glyph unicode="&#xe203;" d="M700 800h300v-520l-350 350l-550 -550v1095q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM862 200h-162v-200h-100v200h-162l212 212zM480 0h-355q-10 0 -17.5 7.5t-7.5 17.5v55h380v-80zM1000 80v-55q0 -10 -7.5 -17.5t-17.5 -7.5h-155v80h180z" />
<glyph unicode="&#xe204;" d="M1162 800h-162v-200h100l100 -100h-300v300h-162l212 212zM200 800h200q27 0 40 -2t29.5 -10.5t23.5 -30t7 -57.5h300v-100h-600l-200 -350v450h100q0 36 7 57.5t23.5 30t29.5 10.5t40 2zM800 400h240l-240 -400h-800l300 500h500v-100z" />
<glyph unicode="&#xe205;" d="M650 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM1000 850v150q41 0 70.5 -29.5t29.5 -70.5v-800 q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-1 0 -20 4l246 246l-326 326v324q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM412 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe206;" d="M450 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM800 850v150q41 0 70.5 -29.5t29.5 -70.5v-500 h-200v-300h200q0 -36 -7 -57.5t-23.5 -30t-29.5 -10.5t-40 -2h-600q-41 0 -70.5 29.5t-29.5 70.5v800q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM1212 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe209;" d="M658 1197l637 -1104q23 -38 7 -65.5t-60 -27.5h-1276q-44 0 -60 27.5t7 65.5l637 1104q22 39 54 39t54 -39zM704 800h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM500 300v-100h200 v100h-200z" />
<glyph unicode="&#xe210;" d="M425 1100h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM825 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM25 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5zM425 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5 v150q0 10 7.5 17.5t17.5 7.5zM25 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe211;" d="M700 1200h100v-200h-100v-100h350q62 0 86.5 -39.5t-3.5 -94.5l-66 -132q-41 -83 -81 -134h-772q-40 51 -81 134l-66 132q-28 55 -3.5 94.5t86.5 39.5h350v100h-100v200h100v100h200v-100zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100 h-950l138 100h-13q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe212;" d="M600 1300q40 0 68.5 -29.5t28.5 -70.5h-194q0 41 28.5 70.5t68.5 29.5zM443 1100h314q18 -37 18 -75q0 -8 -3 -25h328q41 0 44.5 -16.5t-30.5 -38.5l-175 -145h-678l-178 145q-34 22 -29 38.5t46 16.5h328q-3 17 -3 25q0 38 18 75zM250 700h700q21 0 35.5 -14.5 t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-150v-200l275 -200h-950l275 200v200h-150q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe213;" d="M600 1181q75 0 128 -53t53 -128t-53 -128t-128 -53t-128 53t-53 128t53 128t128 53zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13 l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe214;" d="M600 1300q47 0 92.5 -53.5t71 -123t25.5 -123.5q0 -78 -55.5 -133.5t-133.5 -55.5t-133.5 55.5t-55.5 133.5q0 62 34 143l144 -143l111 111l-163 163q34 26 63 26zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45 zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe215;" d="M600 1200l300 -161v-139h-300q0 -57 18.5 -108t50 -91.5t63 -72t70 -67.5t57.5 -61h-530q-60 83 -90.5 177.5t-30.5 178.5t33 164.5t87.5 139.5t126 96.5t145.5 41.5v-98zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100 h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe216;" d="M600 1300q41 0 70.5 -29.5t29.5 -70.5v-78q46 -26 73 -72t27 -100v-50h-400v50q0 54 27 100t73 72v78q0 41 29.5 70.5t70.5 29.5zM400 800h400q54 0 100 -27t72 -73h-172v-100h200v-100h-200v-100h200v-100h-200v-100h200q0 -83 -58.5 -141.5t-141.5 -58.5h-400 q-83 0 -141.5 58.5t-58.5 141.5v400q0 83 58.5 141.5t141.5 58.5z" />
<glyph unicode="&#xe218;" d="M150 1100h900q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM125 400h950q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-283l224 -224q13 -13 13 -31.5t-13 -32 t-31.5 -13.5t-31.5 13l-88 88h-524l-87 -88q-13 -13 -32 -13t-32 13.5t-13 32t13 31.5l224 224h-289q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM541 300l-100 -100h324l-100 100h-124z" />
<glyph unicode="&#xe219;" d="M200 1100h800q83 0 141.5 -58.5t58.5 -141.5v-200h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100v200q0 83 58.5 141.5t141.5 58.5zM100 600h1000q41 0 70.5 -29.5 t29.5 -70.5v-300h-1200v300q0 41 29.5 70.5t70.5 29.5zM300 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200zM1100 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200z" />
<glyph unicode="&#xe221;" d="M480 1165l682 -683q31 -31 31 -75.5t-31 -75.5l-131 -131h-481l-517 518q-32 31 -32 75.5t32 75.5l295 296q31 31 75.5 31t76.5 -31zM108 794l342 -342l303 304l-341 341zM250 100h800q21 0 35.5 -14.5t14.5 -35.5v-50h-900v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe223;" d="M1057 647l-189 506q-8 19 -27.5 33t-40.5 14h-400q-21 0 -40.5 -14t-27.5 -33l-189 -506q-8 -19 1.5 -33t30.5 -14h625v-150q0 -21 14.5 -35.5t35.5 -14.5t35.5 14.5t14.5 35.5v150h125q21 0 30.5 14t1.5 33zM897 0h-595v50q0 21 14.5 35.5t35.5 14.5h50v50 q0 21 14.5 35.5t35.5 14.5h48v300h200v-300h47q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-50z" />
<glyph unicode="&#xe224;" d="M900 800h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-375v591l-300 300v84q0 10 7.5 17.5t17.5 7.5h375v-400zM1200 900h-200v200zM400 600h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-650q-10 0 -17.5 7.5t-7.5 17.5v950q0 10 7.5 17.5t17.5 7.5h375v-400zM700 700h-200v200z " />
<glyph unicode="&#xe225;" d="M484 1095h195q75 0 146 -32.5t124 -86t89.5 -122.5t48.5 -142q18 -14 35 -20q31 -10 64.5 6.5t43.5 48.5q10 34 -15 71q-19 27 -9 43q5 8 12.5 11t19 -1t23.5 -16q41 -44 39 -105q-3 -63 -46 -106.5t-104 -43.5h-62q-7 -55 -35 -117t-56 -100l-39 -234q-3 -20 -20 -34.5 t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l12 70q-49 -14 -91 -14h-195q-24 0 -65 8l-11 -64q-3 -20 -20 -34.5t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l26 157q-84 74 -128 175l-159 53q-19 7 -33 26t-14 40v50q0 21 14.5 35.5t35.5 14.5h124q11 87 56 166l-111 95 q-16 14 -12.5 23.5t24.5 9.5h203q116 101 250 101zM675 1000h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h250q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe226;" d="M641 900l423 247q19 8 42 2.5t37 -21.5l32 -38q14 -15 12.5 -36t-17.5 -34l-139 -120h-390zM50 1100h106q67 0 103 -17t66 -71l102 -212h823q21 0 35.5 -14.5t14.5 -35.5v-50q0 -21 -14 -40t-33 -26l-737 -132q-23 -4 -40 6t-26 25q-42 67 -100 67h-300q-62 0 -106 44 t-44 106v200q0 62 44 106t106 44zM173 928h-80q-19 0 -28 -14t-9 -35v-56q0 -51 42 -51h134q16 0 21.5 8t5.5 24q0 11 -16 45t-27 51q-18 28 -43 28zM550 727q-32 0 -54.5 -22.5t-22.5 -54.5t22.5 -54.5t54.5 -22.5t54.5 22.5t22.5 54.5t-22.5 54.5t-54.5 22.5zM130 389 l152 130q18 19 34 24t31 -3.5t24.5 -17.5t25.5 -28q28 -35 50.5 -51t48.5 -13l63 5l48 -179q13 -61 -3.5 -97.5t-67.5 -79.5l-80 -69q-47 -40 -109 -35.5t-103 51.5l-130 151q-40 47 -35.5 109.5t51.5 102.5zM380 377l-102 -88q-31 -27 2 -65l37 -43q13 -15 27.5 -19.5 t31.5 6.5l61 53q19 16 14 49q-2 20 -12 56t-17 45q-11 12 -19 14t-23 -8z" />
<glyph unicode="&#xe227;" d="M625 1200h150q10 0 17.5 -7.5t7.5 -17.5v-109q79 -33 131 -87.5t53 -128.5q1 -46 -15 -84.5t-39 -61t-46 -38t-39 -21.5l-17 -6q6 0 15 -1.5t35 -9t50 -17.5t53 -30t50 -45t35.5 -64t14.5 -84q0 -59 -11.5 -105.5t-28.5 -76.5t-44 -51t-49.5 -31.5t-54.5 -16t-49.5 -6.5 t-43.5 -1v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-100v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-175q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v600h-75q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5h175v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h100v75q0 10 7.5 17.5t17.5 7.5zM400 900v-200h263q28 0 48.5 10.5t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-263zM400 500v-200h363q28 0 48.5 10.5 t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-363z" />
<glyph unicode="&#xe230;" d="M212 1198h780q86 0 147 -61t61 -147v-416q0 -51 -18 -142.5t-36 -157.5l-18 -66q-29 -87 -93.5 -146.5t-146.5 -59.5h-572q-82 0 -147 59t-93 147q-8 28 -20 73t-32 143.5t-20 149.5v416q0 86 61 147t147 61zM600 1045q-70 0 -132.5 -11.5t-105.5 -30.5t-78.5 -41.5 t-57 -45t-36 -41t-20.5 -30.5l-6 -12l156 -243h560l156 243q-2 5 -6 12.5t-20 29.5t-36.5 42t-57 44.5t-79 42t-105 29.5t-132.5 12zM762 703h-157l195 261z" />
<glyph unicode="&#xe231;" d="M475 1300h150q103 0 189 -86t86 -189v-500q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe232;" d="M475 1300h96q0 -150 89.5 -239.5t239.5 -89.5v-446q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe233;" d="M1294 767l-638 -283l-378 170l-78 -60v-224l100 -150v-199l-150 148l-150 -149v200l100 150v250q0 4 -0.5 10.5t0 9.5t1 8t3 8t6.5 6l47 40l-147 65l642 283zM1000 380l-350 -166l-350 166v147l350 -165l350 165v-147z" />
<glyph unicode="&#xe234;" d="M250 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM650 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM1050 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe235;" d="M550 1100q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 700q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 300q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe236;" d="M125 1100h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM125 700h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM125 300h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe237;" d="M350 1200h500q162 0 256 -93.5t94 -256.5v-500q0 -165 -93.5 -257.5t-256.5 -92.5h-500q-165 0 -257.5 92.5t-92.5 257.5v500q0 165 92.5 257.5t257.5 92.5zM900 1000h-600q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h600q41 0 70.5 29.5 t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5zM350 900h500q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-500q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 14.5 35.5t35.5 14.5zM400 800v-200h400v200h-400z" />
<glyph unicode="&#xe238;" d="M150 1100h1000q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe239;" d="M650 1187q87 -67 118.5 -156t0 -178t-118.5 -155q-87 66 -118.5 155t0 178t118.5 156zM300 800q124 0 212 -88t88 -212q-124 0 -212 88t-88 212zM1000 800q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM300 500q124 0 212 -88t88 -212q-124 0 -212 88t-88 212z M1000 500q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM700 199v-144q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v142q40 -4 43 -4q17 0 57 6z" />
<glyph unicode="&#xe240;" d="M745 878l69 19q25 6 45 -12l298 -295q11 -11 15 -26.5t-2 -30.5q-5 -14 -18 -23.5t-28 -9.5h-8q1 0 1 -13q0 -29 -2 -56t-8.5 -62t-20 -63t-33 -53t-51 -39t-72.5 -14h-146q-184 0 -184 288q0 24 10 47q-20 4 -62 4t-63 -4q11 -24 11 -47q0 -288 -184 -288h-142 q-48 0 -84.5 21t-56 51t-32 71.5t-16 75t-3.5 68.5q0 13 2 13h-7q-15 0 -27.5 9.5t-18.5 23.5q-6 15 -2 30.5t15 25.5l298 296q20 18 46 11l76 -19q20 -5 30.5 -22.5t5.5 -37.5t-22.5 -31t-37.5 -5l-51 12l-182 -193h891l-182 193l-44 -12q-20 -5 -37.5 6t-22.5 31t6 37.5 t31 22.5z" />
<glyph unicode="&#xe241;" d="M1200 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM500 450h-25q0 15 -4 24.5t-9 14.5t-17 7.5t-20 3t-25 0.5h-100v-425q0 -11 12.5 -17.5t25.5 -7.5h12v-50h-200v50q50 0 50 25v425h-100q-17 0 -25 -0.5t-20 -3t-17 -7.5t-9 -14.5t-4 -24.5h-25v150h500v-150z" />
<glyph unicode="&#xe242;" d="M1000 300v50q-25 0 -55 32q-14 14 -25 31t-16 27l-4 11l-289 747h-69l-300 -754q-18 -35 -39 -56q-9 -9 -24.5 -18.5t-26.5 -14.5l-11 -5v-50h273v50q-49 0 -78.5 21.5t-11.5 67.5l69 176h293l61 -166q13 -34 -3.5 -66.5t-55.5 -32.5v-50h312zM412 691l134 342l121 -342 h-255zM1100 150v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe243;" d="M50 1200h1100q21 0 35.5 -14.5t14.5 -35.5v-1100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5zM611 1118h-70q-13 0 -18 -12l-299 -753q-17 -32 -35 -51q-18 -18 -56 -34q-12 -5 -12 -18v-50q0 -8 5.5 -14t14.5 -6 h273q8 0 14 6t6 14v50q0 8 -6 14t-14 6q-55 0 -71 23q-10 14 0 39l63 163h266l57 -153q11 -31 -6 -55q-12 -17 -36 -17q-8 0 -14 -6t-6 -14v-50q0 -8 6 -14t14 -6h313q8 0 14 6t6 14v50q0 7 -5.5 13t-13.5 7q-17 0 -42 25q-25 27 -40 63h-1l-288 748q-5 12 -19 12zM639 611 h-197l103 264z" />
<glyph unicode="&#xe244;" d="M1200 1100h-1200v100h1200v-100zM50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 1000h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM700 900v-300h300v300h-300z" />
<glyph unicode="&#xe245;" d="M50 1200h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 700h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM700 600v-300h300v300h-300zM1200 0h-1200v100h1200v-100z" />
<glyph unicode="&#xe246;" d="M50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-350h100v150q0 21 14.5 35.5t35.5 14.5h400q21 0 35.5 -14.5t14.5 -35.5v-150h100v-100h-100v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v150h-100v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM700 700v-300h300v300h-300z" />
<glyph unicode="&#xe247;" d="M100 0h-100v1200h100v-1200zM250 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM300 1000v-300h300v300h-300zM250 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe248;" d="M600 1100h150q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-100h450q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h350v100h-150q-21 0 -35.5 14.5 t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h150v100h100v-100zM400 1000v-300h300v300h-300z" />
<glyph unicode="&#xe249;" d="M1200 0h-100v1200h100v-1200zM550 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM600 1000v-300h300v300h-300zM50 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe250;" d="M865 565l-494 -494q-23 -23 -41 -23q-14 0 -22 13.5t-8 38.5v1000q0 25 8 38.5t22 13.5q18 0 41 -23l494 -494q14 -14 14 -35t-14 -35z" />
<glyph unicode="&#xe251;" d="M335 635l494 494q29 29 50 20.5t21 -49.5v-1000q0 -41 -21 -49.5t-50 20.5l-494 494q-14 14 -14 35t14 35z" />
<glyph unicode="&#xe252;" d="M100 900h1000q41 0 49.5 -21t-20.5 -50l-494 -494q-14 -14 -35 -14t-35 14l-494 494q-29 29 -20.5 50t49.5 21z" />
<glyph unicode="&#xe253;" d="M635 865l494 -494q29 -29 20.5 -50t-49.5 -21h-1000q-41 0 -49.5 21t20.5 50l494 494q14 14 35 14t35 -14z" />
<glyph unicode="&#xe254;" d="M700 741v-182l-692 -323v221l413 193l-413 193v221zM1200 0h-800v200h800v-200z" />
<glyph unicode="&#xe255;" d="M1200 900h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300zM0 700h50q0 21 4 37t9.5 26.5t18 17.5t22 11t28.5 5.5t31 2t37 0.5h100v-550q0 -22 -25 -34.5t-50 -13.5l-25 -2v-100h400v100q-4 0 -11 0.5t-24 3t-30 7t-24 15t-11 24.5v550h100q25 0 37 -0.5t31 -2 t28.5 -5.5t22 -11t18 -17.5t9.5 -26.5t4 -37h50v300h-800v-300z" />
<glyph unicode="&#xe256;" d="M800 700h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-100v-550q0 -22 25 -34.5t50 -14.5l25 -1v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v550h-100q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h800v-300zM1100 200h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300z" />
<glyph unicode="&#xe257;" d="M701 1098h160q16 0 21 -11t-7 -23l-464 -464l464 -464q12 -12 7 -23t-21 -11h-160q-13 0 -23 9l-471 471q-7 8 -7 18t7 18l471 471q10 9 23 9z" />
<glyph unicode="&#xe258;" d="M339 1098h160q13 0 23 -9l471 -471q7 -8 7 -18t-7 -18l-471 -471q-10 -9 -23 -9h-160q-16 0 -21 11t7 23l464 464l-464 464q-12 12 -7 23t21 11z" />
<glyph unicode="&#xe259;" d="M1087 882q11 -5 11 -21v-160q0 -13 -9 -23l-471 -471q-8 -7 -18 -7t-18 7l-471 471q-9 10 -9 23v160q0 16 11 21t23 -7l464 -464l464 464q12 12 23 7z" />
<glyph unicode="&#xe260;" d="M618 993l471 -471q9 -10 9 -23v-160q0 -16 -11 -21t-23 7l-464 464l-464 -464q-12 -12 -23 -7t-11 21v160q0 13 9 23l471 471q8 7 18 7t18 -7z" />
<glyph unicode="&#xf8ff;" d="M1000 1200q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM450 1000h100q21 0 40 -14t26 -33l79 -194q5 1 16 3q34 6 54 9.5t60 7t65.5 1t61 -10t56.5 -23t42.5 -42t29 -64t5 -92t-19.5 -121.5q-1 -7 -3 -19.5t-11 -50t-20.5 -73t-32.5 -81.5t-46.5 -83t-64 -70 t-82.5 -50q-13 -5 -42 -5t-65.5 2.5t-47.5 2.5q-14 0 -49.5 -3.5t-63 -3.5t-43.5 7q-57 25 -104.5 78.5t-75 111.5t-46.5 112t-26 90l-7 35q-15 63 -18 115t4.5 88.5t26 64t39.5 43.5t52 25.5t58.5 13t62.5 2t59.5 -4.5t55.5 -8l-147 192q-12 18 -5.5 30t27.5 12z" />
<glyph unicode="&#x1f511;" d="M250 1200h600q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-500l-255 -178q-19 -9 -32 -1t-13 29v650h-150q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM400 1100v-100h300v100h-300z" />
<glyph unicode="&#x1f6aa;" d="M250 1200h750q39 0 69.5 -40.5t30.5 -84.5v-933l-700 -117v950l600 125h-700v-1000h-100v1025q0 23 15.5 49t34.5 26zM500 525v-100l100 20v100z" />
</font>
</defs></svg> ) format('svg')}.glyphicon{position:relative;top:1px;display:inline-block;font-family:'Glyphicons Halflings';font-style:normal;font-weight:400;line-height:1;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.glyphicon-asterisk:before{content:"\2a"}.glyphicon-plus:before{content:"\2b"}.glyphicon-eur:before,.glyphicon-euro:before{content:"\20ac"}.glyphicon-minus:before{content:"\2212"}.glyphicon-cloud:before{content:"\2601"}.glyphicon-envelope:before{content:"\2709"}.glyphicon-pencil:before{content:"\270f"}.glyphicon-glass:before{content:"\e001"}.glyphicon-music:before{content:"\e002"}.glyphicon-search:before{content:"\e003"}.glyphicon-heart:before{content:"\e005"}.glyphicon-star:before{content:"\e006"}.glyphicon-star-empty:before{content:"\e007"}.glyphicon-user:before{content:"\e008"}.glyphicon-film:before{content:"\e009"}.glyphicon-th-large:before{content:"\e010"}.glyphicon-th:before{content:"\e011"}.glyphicon-th-list:before{content:"\e012"}.glyphicon-ok:before{content:"\e013"}.glyphicon-remove:before{content:"\e014"}.glyphicon-zoom-in:before{content:"\e015"}.glyphicon-zoom-out:before{content:"\e016"}.glyphicon-off:before{content:"\e017"}.glyphicon-signal:before{content:"\e018"}.glyphicon-cog:before{content:"\e019"}.glyphicon-trash:before{content:"\e020"}.glyphicon-home:before{content:"\e021"}.glyphicon-file:before{content:"\e022"}.glyphicon-time:before{content:"\e023"}.glyphicon-road:before{content:"\e024"}.glyphicon-download-alt:before{content:"\e025"}.glyphicon-download:before{content:"\e026"}.glyphicon-upload:before{content:"\e027"}.glyphicon-inbox:before{content:"\e028"}.glyphicon-play-circle:before{content:"\e029"}.glyphicon-repeat:before{content:"\e030"}.glyphicon-refresh:before{content:"\e031"}.glyphicon-list-alt:before{content:"\e032"}.glyphicon-lock:before{content:"\e033"}.glyphicon-flag:before{content:"\e034"}.glyphicon-headphones:before{content:"\e035"}.glyphicon-volume-off:before{content:"\e036"}.glyphicon-volume-down:before{content:"\e037"}.glyphicon-volume-up:before{content:"\e038"}.glyphicon-qrcode:before{content:"\e039"}.glyphicon-barcode:before{content:"\e040"}.glyphicon-tag:before{content:"\e041"}.glyphicon-tags:before{content:"\e042"}.glyphicon-book:before{content:"\e043"}.glyphicon-bookmark:before{content:"\e044"}.glyphicon-print:before{content:"\e045"}.glyphicon-camera:before{content:"\e046"}.glyphicon-font:before{content:"\e047"}.glyphicon-bold:before{content:"\e048"}.glyphicon-italic:before{content:"\e049"}.glyphicon-text-height:before{content:"\e050"}.glyphicon-text-width:before{content:"\e051"}.glyphicon-align-left:before{content:"\e052"}.glyphicon-align-center:before{content:"\e053"}.glyphicon-align-right:before{content:"\e054"}.glyphicon-align-justify:before{content:"\e055"}.glyphicon-list:before{content:"\e056"}.glyphicon-indent-left:before{content:"\e057"}.glyphicon-indent-right:before{content:"\e058"}.glyphicon-facetime-video:before{content:"\e059"}.glyphicon-picture:before{content:"\e060"}.glyphicon-map-marker:before{content:"\e062"}.glyphicon-adjust:before{content:"\e063"}.glyphicon-tint:before{content:"\e064"}.glyphicon-edit:before{content:"\e065"}.glyphicon-share:before{content:"\e066"}.glyphicon-check:before{content:"\e067"}.glyphicon-move:before{content:"\e068"}.glyphicon-step-backward:before{content:"\e069"}.glyphicon-fast-backward:before{content:"\e070"}.glyphicon-backward:before{content:"\e071"}.glyphicon-play:before{content:"\e072"}.glyphicon-pause:before{content:"\e073"}.glyphicon-stop:before{content:"\e074"}.glyphicon-forward:before{content:"\e075"}.glyphicon-fast-forward:before{content:"\e076"}.glyphicon-step-forward:before{content:"\e077"}.glyphicon-eject:before{content:"\e078"}.glyphicon-chevron-left:before{content:"\e079"}.glyphicon-chevron-right:before{content:"\e080"}.glyphicon-plus-sign:before{content:"\e081"}.glyphicon-minus-sign:before{content:"\e082"}.glyphicon-remove-sign:before{content:"\e083"}.glyphicon-ok-sign:before{content:"\e084"}.glyphicon-question-sign:before{content:"\e085"}.glyphicon-info-sign:before{content:"\e086"}.glyphicon-screenshot:before{content:"\e087"}.glyphicon-remove-circle:before{content:"\e088"}.glyphicon-ok-circle:before{content:"\e089"}.glyphicon-ban-circle:before{content:"\e090"}.glyphicon-arrow-left:before{content:"\e091"}.glyphicon-arrow-right:before{content:"\e092"}.glyphicon-arrow-up:before{content:"\e093"}.glyphicon-arrow-down:before{content:"\e094"}.glyphicon-share-alt:before{content:"\e095"}.glyphicon-resize-full:before{content:"\e096"}.glyphicon-resize-small:before{content:"\e097"}.glyphicon-exclamation-sign:before{content:"\e101"}.glyphicon-gift:before{content:"\e102"}.glyphicon-leaf:before{content:"\e103"}.glyphicon-fire:before{content:"\e104"}.glyphicon-eye-open:before{content:"\e105"}.glyphicon-eye-close:before{content:"\e106"}.glyphicon-warning-sign:before{content:"\e107"}.glyphicon-plane:before{content:"\e108"}.glyphicon-calendar:before{content:"\e109"}.glyphicon-random:before{content:"\e110"}.glyphicon-comment:before{content:"\e111"}.glyphicon-magnet:before{content:"\e112"}.glyphicon-chevron-up:before{content:"\e113"}.glyphicon-chevron-down:before{content:"\e114"}.glyphicon-retweet:before{content:"\e115"}.glyphicon-shopping-cart:before{content:"\e116"}.glyphicon-folder-close:before{content:"\e117"}.glyphicon-folder-open:before{content:"\e118"}.glyphicon-resize-vertical:before{content:"\e119"}.glyphicon-resize-horizontal:before{content:"\e120"}.glyphicon-hdd:before{content:"\e121"}.glyphicon-bullhorn:before{content:"\e122"}.glyphicon-bell:before{content:"\e123"}.glyphicon-certificate:before{content:"\e124"}.glyphicon-thumbs-up:before{content:"\e125"}.glyphicon-thumbs-down:before{content:"\e126"}.glyphicon-hand-right:before{content:"\e127"}.glyphicon-hand-left:before{content:"\e128"}.glyphicon-hand-up:before{content:"\e129"}.glyphicon-hand-down:before{content:"\e130"}.glyphicon-circle-arrow-right:before{content:"\e131"}.glyphicon-circle-arrow-left:before{content:"\e132"}.glyphicon-circle-arrow-up:before{content:"\e133"}.glyphicon-circle-arrow-down:before{content:"\e134"}.glyphicon-globe:before{content:"\e135"}.glyphicon-wrench:before{content:"\e136"}.glyphicon-tasks:before{content:"\e137"}.glyphicon-filter:before{content:"\e138"}.glyphicon-briefcase:before{content:"\e139"}.glyphicon-fullscreen:before{content:"\e140"}.glyphicon-dashboard:before{content:"\e141"}.glyphicon-paperclip:before{content:"\e142"}.glyphicon-heart-empty:before{content:"\e143"}.glyphicon-link:before{content:"\e144"}.glyphicon-phone:before{content:"\e145"}.glyphicon-pushpin:before{content:"\e146"}.glyphicon-usd:before{content:"\e148"}.glyphicon-gbp:before{content:"\e149"}.glyphicon-sort:before{content:"\e150"}.glyphicon-sort-by-alphabet:before{content:"\e151"}.glyphicon-sort-by-alphabet-alt:before{content:"\e152"}.glyphicon-sort-by-order:before{content:"\e153"}.glyphicon-sort-by-order-alt:before{content:"\e154"}.glyphicon-sort-by-attributes:before{content:"\e155"}.glyphicon-sort-by-attributes-alt:before{content:"\e156"}.glyphicon-unchecked:before{content:"\e157"}.glyphicon-expand:before{content:"\e158"}.glyphicon-collapse-down:before{content:"\e159"}.glyphicon-collapse-up:before{content:"\e160"}.glyphicon-log-in:before{content:"\e161"}.glyphicon-flash:before{content:"\e162"}.glyphicon-log-out:before{content:"\e163"}.glyphicon-new-window:before{content:"\e164"}.glyphicon-record:before{content:"\e165"}.glyphicon-save:before{content:"\e166"}.glyphicon-open:before{content:"\e167"}.glyphicon-saved:before{content:"\e168"}.glyphicon-import:before{content:"\e169"}.glyphicon-export:before{content:"\e170"}.glyphicon-send:before{content:"\e171"}.glyphicon-floppy-disk:before{content:"\e172"}.glyphicon-floppy-saved:before{content:"\e173"}.glyphicon-floppy-remove:before{content:"\e174"}.glyphicon-floppy-save:before{content:"\e175"}.glyphicon-floppy-open:before{content:"\e176"}.glyphicon-credit-card:before{content:"\e177"}.glyphicon-transfer:before{content:"\e178"}.glyphicon-cutlery:before{content:"\e179"}.glyphicon-header:before{content:"\e180"}.glyphicon-compressed:before{content:"\e181"}.glyphicon-earphone:before{content:"\e182"}.glyphicon-phone-alt:before{content:"\e183"}.glyphicon-tower:before{content:"\e184"}.glyphicon-stats:before{content:"\e185"}.glyphicon-sd-video:before{content:"\e186"}.glyphicon-hd-video:before{content:"\e187"}.glyphicon-subtitles:before{content:"\e188"}.glyphicon-sound-stereo:before{content:"\e189"}.glyphicon-sound-dolby:before{content:"\e190"}.glyphicon-sound-5-1:before{content:"\e191"}.glyphicon-sound-6-1:before{content:"\e192"}.glyphicon-sound-7-1:before{content:"\e193"}.glyphicon-copyright-mark:before{content:"\e194"}.glyphicon-registration-mark:before{content:"\e195"}.glyphicon-cloud-download:before{content:"\e197"}.glyphicon-cloud-upload:before{content:"\e198"}.glyphicon-tree-conifer:before{content:"\e199"}.glyphicon-tree-deciduous:before{content:"\e200"}.glyphicon-cd:before{content:"\e201"}.glyphicon-save-file:before{content:"\e202"}.glyphicon-open-file:before{content:"\e203"}.glyphicon-level-up:before{content:"\e204"}.glyphicon-copy:before{content:"\e205"}.glyphicon-paste:before{content:"\e206"}.glyphicon-alert:before{content:"\e209"}.glyphicon-equalizer:before{content:"\e210"}.glyphicon-king:before{content:"\e211"}.glyphicon-queen:before{content:"\e212"}.glyphicon-pawn:before{content:"\e213"}.glyphicon-bishop:before{content:"\e214"}.glyphicon-knight:before{content:"\e215"}.glyphicon-baby-formula:before{content:"\e216"}.glyphicon-tent:before{content:"\26fa"}.glyphicon-blackboard:before{content:"\e218"}.glyphicon-bed:before{content:"\e219"}.glyphicon-apple:before{content:"\f8ff"}.glyphicon-erase:before{content:"\e221"}.glyphicon-hourglass:before{content:"\231b"}.glyphicon-lamp:before{content:"\e223"}.glyphicon-duplicate:before{content:"\e224"}.glyphicon-piggy-bank:before{content:"\e225"}.glyphicon-scissors:before{content:"\e226"}.glyphicon-bitcoin:before{content:"\e227"}.glyphicon-btc:before{content:"\e227"}.glyphicon-xbt:before{content:"\e227"}.glyphicon-yen:before{content:"\00a5"}.glyphicon-jpy:before{content:"\00a5"}.glyphicon-ruble:before{content:"\20bd"}.glyphicon-rub:before{content:"\20bd"}.glyphicon-scale:before{content:"\e230"}.glyphicon-ice-lolly:before{content:"\e231"}.glyphicon-ice-lolly-tasted:before{content:"\e232"}.glyphicon-education:before{content:"\e233"}.glyphicon-option-horizontal:before{content:"\e234"}.glyphicon-option-vertical:before{content:"\e235"}.glyphicon-menu-hamburger:before{content:"\e236"}.glyphicon-modal-window:before{content:"\e237"}.glyphicon-oil:before{content:"\e238"}.glyphicon-grain:before{content:"\e239"}.glyphicon-sunglasses:before{content:"\e240"}.glyphicon-text-size:before{content:"\e241"}.glyphicon-text-color:before{content:"\e242"}.glyphicon-text-background:before{content:"\e243"}.glyphicon-object-align-top:before{content:"\e244"}.glyphicon-object-align-bottom:before{content:"\e245"}.glyphicon-object-align-horizontal:before{content:"\e246"}.glyphicon-object-align-left:before{content:"\e247"}.glyphicon-object-align-vertical:before{content:"\e248"}.glyphicon-object-align-right:before{content:"\e249"}.glyphicon-triangle-right:before{content:"\e250"}.glyphicon-triangle-left:before{content:"\e251"}.glyphicon-triangle-bottom:before{content:"\e252"}.glyphicon-triangle-top:before{content:"\e253"}.glyphicon-console:before{content:"\e254"}.glyphicon-superscript:before{content:"\e255"}.glyphicon-subscript:before{content:"\e256"}.glyphicon-menu-left:before{content:"\e257"}.glyphicon-menu-right:before{content:"\e258"}.glyphicon-menu-down:before{content:"\e259"}.glyphicon-menu-up:before{content:"\e260"}*{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}:after,:before{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}html{font-size:10px;-webkit-tap-highlight-color:rgba(0,0,0,0)}body{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:1.42857143;color:#333;background-color:#fff}button,input,select,textarea{font-family:inherit;font-size:inherit;line-height:inherit}a{color:#337ab7;text-decoration:none}a:focus,a:hover{color:#23527c;text-decoration:underline}a:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}figure{margin:0}img{vertical-align:middle}.carousel-inner>.item>a>img,.carousel-inner>.item>img,.img-responsive,.thumbnail a>img,.thumbnail>img{display:block;max-width:100%;height:auto}.img-rounded{border-radius:6px}.img-thumbnail{display:inline-block;max-width:100%;height:auto;padding:4px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out}.img-circle{border-radius:50%}hr{margin-top:20px;margin-bottom:20px;border:0;border-top:1px solid #eee}.sr-only{position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto}[role=button]{cursor:pointer}.h1,.h2,.h3,.h4,.h5,.h6,h1,h2,h3,h4,h5,h6{font-family:inherit;font-weight:500;line-height:1.1;color:inherit}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-weight:400;line-height:1;color:#777}.h1,.h2,.h3,h1,h2,h3{margin-top:20px;margin-bottom:10px}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small{font-size:65%}.h4,.h5,.h6,h4,h5,h6{margin-top:10px;margin-bottom:10px}.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-size:75%}.h1,h1{font-size:36px}.h2,h2{font-size:30px}.h3,h3{font-size:24px}.h4,h4{font-size:18px}.h5,h5{font-size:14px}.h6,h6{font-size:12px}p{margin:0 0 10px}.lead{margin-bottom:20px;font-size:16px;font-weight:300;line-height:1.4}@media (min-width:768px){.lead{font-size:21px}}.small,small{font-size:85%}.mark,mark{padding:.2em;background-color:#fcf8e3}.text-left{text-align:left}.text-right{text-align:right}.text-center{text-align:center}.text-justify{text-align:justify}.text-nowrap{white-space:nowrap}.text-lowercase{text-transform:lowercase}.text-uppercase{text-transform:uppercase}.text-capitalize{text-transform:capitalize}.text-muted{color:#777}.text-primary{color:#337ab7}a.text-primary:focus,a.text-primary:hover{color:#286090}.text-success{color:#3c763d}a.text-success:focus,a.text-success:hover{color:#2b542c}.text-info{color:#31708f}a.text-info:focus,a.text-info:hover{color:#245269}.text-warning{color:#8a6d3b}a.text-warning:focus,a.text-warning:hover{color:#66512c}.text-danger{color:#a94442}a.text-danger:focus,a.text-danger:hover{color:#843534}.bg-primary{color:#fff;background-color:#337ab7}a.bg-primary:focus,a.bg-primary:hover{background-color:#286090}.bg-success{background-color:#dff0d8}a.bg-success:focus,a.bg-success:hover{background-color:#c1e2b3}.bg-info{background-color:#d9edf7}a.bg-info:focus,a.bg-info:hover{background-color:#afd9ee}.bg-warning{background-color:#fcf8e3}a.bg-warning:focus,a.bg-warning:hover{background-color:#f7ecb5}.bg-danger{background-color:#f2dede}a.bg-danger:focus,a.bg-danger:hover{background-color:#e4b9b9}.page-header{padding-bottom:9px;margin:40px 0 20px;border-bottom:1px solid #eee}ol,ul{margin-top:0;margin-bottom:10px}ol ol,ol ul,ul ol,ul ul{margin-bottom:0}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;margin-left:-5px;list-style:none}.list-inline>li{display:inline-block;padding-right:5px;padding-left:5px}dl{margin-top:0;margin-bottom:20px}dd,dt{line-height:1.42857143}dt{font-weight:700}dd{margin-left:0}@media (min-width:768px){.dl-horizontal dt{float:left;width:160px;overflow:hidden;clear:left;text-align:right;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:180px}}abbr[data-original-title],abbr[title]{cursor:help;border-bottom:1px dotted #777}.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:10px 20px;margin:0 0 20px;font-size:17.5px;border-left:5px solid #eee}blockquote ol:last-child,blockquote p:last-child,blockquote ul:last-child{margin-bottom:0}blockquote .small,blockquote footer,blockquote small{display:block;font-size:80%;line-height:1.42857143;color:#777}blockquote .small:before,blockquote footer:before,blockquote small:before{content:'\2014 \00A0'}.blockquote-reverse,blockquote.pull-right{padding-right:15px;padding-left:0;text-align:right;border-right:5px solid #eee;border-left:0}.blockquote-reverse .small:before,.blockquote-reverse footer:before,.blockquote-reverse small:before,blockquote.pull-right .small:before,blockquote.pull-right footer:before,blockquote.pull-right small:before{content:''}.blockquote-reverse .small:after,.blockquote-reverse footer:after,.blockquote-reverse small:after,blockquote.pull-right .small:after,blockquote.pull-right footer:after,blockquote.pull-right small:after{content:'\00A0 \2014'}address{margin-bottom:20px;font-style:normal;line-height:1.42857143}code,kbd,pre,samp{font-family:monospace}code{padding:2px 4px;font-size:90%;color:#c7254e;background-color:#f9f2f4;border-radius:4px}kbd{padding:2px 4px;font-size:90%;color:#fff;background-color:#333;border-radius:3px;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.25);box-shadow:inset 0 -1px 0 rgba(0,0,0,.25)}kbd kbd{padding:0;font-size:100%;font-weight:700;-webkit-box-shadow:none;box-shadow:none}pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:1.42857143;color:#333;word-break:break-all;word-wrap:break-word;background-color:#f5f5f5;border:1px solid #ccc;border-radius:4px}pre code{padding:0;font-size:inherit;color:inherit;white-space:pre-wrap;background-color:transparent;border-radius:0}.pre-scrollable{max-height:340px;overflow-y:scroll}.container{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}@media (min-width:768px){.container{width:750px}}@media (min-width:992px){.container{width:970px}}@media (min-width:1200px){.container{width:1170px}}.container-fluid{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}.row{margin-right:-15px;margin-left:-15px}.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9,.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9,.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9,.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{position:relative;min-height:1px;padding-right:15px;padding-left:15px}.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{float:left}.col-xs-12{width:100%}.col-xs-11{width:91.66666667%}.col-xs-10{width:83.33333333%}.col-xs-9{width:75%}.col-xs-8{width:66.66666667%}.col-xs-7{width:58.33333333%}.col-xs-6{width:50%}.col-xs-5{width:41.66666667%}.col-xs-4{width:33.33333333%}.col-xs-3{width:25%}.col-xs-2{width:16.66666667%}.col-xs-1{width:8.33333333%}.col-xs-pull-12{right:100%}.col-xs-pull-11{right:91.66666667%}.col-xs-pull-10{right:83.33333333%}.col-xs-pull-9{right:75%}.col-xs-pull-8{right:66.66666667%}.col-xs-pull-7{right:58.33333333%}.col-xs-pull-6{right:50%}.col-xs-pull-5{right:41.66666667%}.col-xs-pull-4{right:33.33333333%}.col-xs-pull-3{right:25%}.col-xs-pull-2{right:16.66666667%}.col-xs-pull-1{right:8.33333333%}.col-xs-pull-0{right:auto}.col-xs-push-12{left:100%}.col-xs-push-11{left:91.66666667%}.col-xs-push-10{left:83.33333333%}.col-xs-push-9{left:75%}.col-xs-push-8{left:66.66666667%}.col-xs-push-7{left:58.33333333%}.col-xs-push-6{left:50%}.col-xs-push-5{left:41.66666667%}.col-xs-push-4{left:33.33333333%}.col-xs-push-3{left:25%}.col-xs-push-2{left:16.66666667%}.col-xs-push-1{left:8.33333333%}.col-xs-push-0{left:auto}.col-xs-offset-12{margin-left:100%}.col-xs-offset-11{margin-left:91.66666667%}.col-xs-offset-10{margin-left:83.33333333%}.col-xs-offset-9{margin-left:75%}.col-xs-offset-8{margin-left:66.66666667%}.col-xs-offset-7{margin-left:58.33333333%}.col-xs-offset-6{margin-left:50%}.col-xs-offset-5{margin-left:41.66666667%}.col-xs-offset-4{margin-left:33.33333333%}.col-xs-offset-3{margin-left:25%}.col-xs-offset-2{margin-left:16.66666667%}.col-xs-offset-1{margin-left:8.33333333%}.col-xs-offset-0{margin-left:0}@media (min-width:768px){.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9{float:left}.col-sm-12{width:100%}.col-sm-11{width:91.66666667%}.col-sm-10{width:83.33333333%}.col-sm-9{width:75%}.col-sm-8{width:66.66666667%}.col-sm-7{width:58.33333333%}.col-sm-6{width:50%}.col-sm-5{width:41.66666667%}.col-sm-4{width:33.33333333%}.col-sm-3{width:25%}.col-sm-2{width:16.66666667%}.col-sm-1{width:8.33333333%}.col-sm-pull-12{right:100%}.col-sm-pull-11{right:91.66666667%}.col-sm-pull-10{right:83.33333333%}.col-sm-pull-9{right:75%}.col-sm-pull-8{right:66.66666667%}.col-sm-pull-7{right:58.33333333%}.col-sm-pull-6{right:50%}.col-sm-pull-5{right:41.66666667%}.col-sm-pull-4{right:33.33333333%}.col-sm-pull-3{right:25%}.col-sm-pull-2{right:16.66666667%}.col-sm-pull-1{right:8.33333333%}.col-sm-pull-0{right:auto}.col-sm-push-12{left:100%}.col-sm-push-11{left:91.66666667%}.col-sm-push-10{left:83.33333333%}.col-sm-push-9{left:75%}.col-sm-push-8{left:66.66666667%}.col-sm-push-7{left:58.33333333%}.col-sm-push-6{left:50%}.col-sm-push-5{left:41.66666667%}.col-sm-push-4{left:33.33333333%}.col-sm-push-3{left:25%}.col-sm-push-2{left:16.66666667%}.col-sm-push-1{left:8.33333333%}.col-sm-push-0{left:auto}.col-sm-offset-12{margin-left:100%}.col-sm-offset-11{margin-left:91.66666667%}.col-sm-offset-10{margin-left:83.33333333%}.col-sm-offset-9{margin-left:75%}.col-sm-offset-8{margin-left:66.66666667%}.col-sm-offset-7{margin-left:58.33333333%}.col-sm-offset-6{margin-left:50%}.col-sm-offset-5{margin-left:41.66666667%}.col-sm-offset-4{margin-left:33.33333333%}.col-sm-offset-3{margin-left:25%}.col-sm-offset-2{margin-left:16.66666667%}.col-sm-offset-1{margin-left:8.33333333%}.col-sm-offset-0{margin-left:0}}@media (min-width:992px){.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9{float:left}.col-md-12{width:100%}.col-md-11{width:91.66666667%}.col-md-10{width:83.33333333%}.col-md-9{width:75%}.col-md-8{width:66.66666667%}.col-md-7{width:58.33333333%}.col-md-6{width:50%}.col-md-5{width:41.66666667%}.col-md-4{width:33.33333333%}.col-md-3{width:25%}.col-md-2{width:16.66666667%}.col-md-1{width:8.33333333%}.col-md-pull-12{right:100%}.col-md-pull-11{right:91.66666667%}.col-md-pull-10{right:83.33333333%}.col-md-pull-9{right:75%}.col-md-pull-8{right:66.66666667%}.col-md-pull-7{right:58.33333333%}.col-md-pull-6{right:50%}.col-md-pull-5{right:41.66666667%}.col-md-pull-4{right:33.33333333%}.col-md-pull-3{right:25%}.col-md-pull-2{right:16.66666667%}.col-md-pull-1{right:8.33333333%}.col-md-pull-0{right:auto}.col-md-push-12{left:100%}.col-md-push-11{left:91.66666667%}.col-md-push-10{left:83.33333333%}.col-md-push-9{left:75%}.col-md-push-8{left:66.66666667%}.col-md-push-7{left:58.33333333%}.col-md-push-6{left:50%}.col-md-push-5{left:41.66666667%}.col-md-push-4{left:33.33333333%}.col-md-push-3{left:25%}.col-md-push-2{left:16.66666667%}.col-md-push-1{left:8.33333333%}.col-md-push-0{left:auto}.col-md-offset-12{margin-left:100%}.col-md-offset-11{margin-left:91.66666667%}.col-md-offset-10{margin-left:83.33333333%}.col-md-offset-9{margin-left:75%}.col-md-offset-8{margin-left:66.66666667%}.col-md-offset-7{margin-left:58.33333333%}.col-md-offset-6{margin-left:50%}.col-md-offset-5{margin-left:41.66666667%}.col-md-offset-4{margin-left:33.33333333%}.col-md-offset-3{margin-left:25%}.col-md-offset-2{margin-left:16.66666667%}.col-md-offset-1{margin-left:8.33333333%}.col-md-offset-0{margin-left:0}}@media (min-width:1200px){.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9{float:left}.col-lg-12{width:100%}.col-lg-11{width:91.66666667%}.col-lg-10{width:83.33333333%}.col-lg-9{width:75%}.col-lg-8{width:66.66666667%}.col-lg-7{width:58.33333333%}.col-lg-6{width:50%}.col-lg-5{width:41.66666667%}.col-lg-4{width:33.33333333%}.col-lg-3{width:25%}.col-lg-2{width:16.66666667%}.col-lg-1{width:8.33333333%}.col-lg-pull-12{right:100%}.col-lg-pull-11{right:91.66666667%}.col-lg-pull-10{right:83.33333333%}.col-lg-pull-9{right:75%}.col-lg-pull-8{right:66.66666667%}.col-lg-pull-7{right:58.33333333%}.col-lg-pull-6{right:50%}.col-lg-pull-5{right:41.66666667%}.col-lg-pull-4{right:33.33333333%}.col-lg-pull-3{right:25%}.col-lg-pull-2{right:16.66666667%}.col-lg-pull-1{right:8.33333333%}.col-lg-pull-0{right:auto}.col-lg-push-12{left:100%}.col-lg-push-11{left:91.66666667%}.col-lg-push-10{left:83.33333333%}.col-lg-push-9{left:75%}.col-lg-push-8{left:66.66666667%}.col-lg-push-7{left:58.33333333%}.col-lg-push-6{left:50%}.col-lg-push-5{left:41.66666667%}.col-lg-push-4{left:33.33333333%}.col-lg-push-3{left:25%}.col-lg-push-2{left:16.66666667%}.col-lg-push-1{left:8.33333333%}.col-lg-push-0{left:auto}.col-lg-offset-12{margin-left:100%}.col-lg-offset-11{margin-left:91.66666667%}.col-lg-offset-10{margin-left:83.33333333%}.col-lg-offset-9{margin-left:75%}.col-lg-offset-8{margin-left:66.66666667%}.col-lg-offset-7{margin-left:58.33333333%}.col-lg-offset-6{margin-left:50%}.col-lg-offset-5{margin-left:41.66666667%}.col-lg-offset-4{margin-left:33.33333333%}.col-lg-offset-3{margin-left:25%}.col-lg-offset-2{margin-left:16.66666667%}.col-lg-offset-1{margin-left:8.33333333%}.col-lg-offset-0{margin-left:0}}table{background-color:transparent}caption{padding-top:8px;padding-bottom:8px;color:#777;text-align:left}th{}.table{width:100%;max-width:100%;margin-bottom:20px}.table>tbody>tr>td,.table>tbody>tr>th,.table>tfoot>tr>td,.table>tfoot>tr>th,.table>thead>tr>td,.table>thead>tr>th{padding:8px;line-height:1.42857143;vertical-align:top;border-top:1px solid #ddd}.table>thead>tr>th{vertical-align:bottom;border-bottom:2px solid #ddd}.table>caption+thead>tr:first-child>td,.table>caption+thead>tr:first-child>th,.table>colgroup+thead>tr:first-child>td,.table>colgroup+thead>tr:first-child>th,.table>thead:first-child>tr:first-child>td,.table>thead:first-child>tr:first-child>th{border-top:0}.table>tbody+tbody{border-top:2px solid #ddd}.table .table{background-color:#fff}.table-condensed>tbody>tr>td,.table-condensed>tbody>tr>th,.table-condensed>tfoot>tr>td,.table-condensed>tfoot>tr>th,.table-condensed>thead>tr>td,.table-condensed>thead>tr>th{padding:5px}.table-bordered{border:1px solid #ddd}.table-bordered>tbody>tr>td,.table-bordered>tbody>tr>th,.table-bordered>tfoot>tr>td,.table-bordered>tfoot>tr>th,.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border:1px solid #ddd}.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border-bottom-width:2px}.table-striped>tbody>tr:nth-of-type(odd){background-color:#f9f9f9}.table-hover>tbody>tr:hover{background-color:#f5f5f5}table col[class*=col-]{position:static;display:table-column;float:none}table td[class*=col-],table th[class*=col-]{position:static;display:table-cell;float:none}.table>tbody>tr.active>td,.table>tbody>tr.active>th,.table>tbody>tr>td.active,.table>tbody>tr>th.active,.table>tfoot>tr.active>td,.table>tfoot>tr.active>th,.table>tfoot>tr>td.active,.table>tfoot>tr>th.active,.table>thead>tr.active>td,.table>thead>tr.active>th,.table>thead>tr>td.active,.table>thead>tr>th.active{background-color:#f5f5f5}.table-hover>tbody>tr.active:hover>td,.table-hover>tbody>tr.active:hover>th,.table-hover>tbody>tr:hover>.active,.table-hover>tbody>tr>td.active:hover,.table-hover>tbody>tr>th.active:hover{background-color:#e8e8e8}.table>tbody>tr.success>td,.table>tbody>tr.success>th,.table>tbody>tr>td.success,.table>tbody>tr>th.success,.table>tfoot>tr.success>td,.table>tfoot>tr.success>th,.table>tfoot>tr>td.success,.table>tfoot>tr>th.success,.table>thead>tr.success>td,.table>thead>tr.success>th,.table>thead>tr>td.success,.table>thead>tr>th.success{background-color:#dff0d8}.table-hover>tbody>tr.success:hover>td,.table-hover>tbody>tr.success:hover>th,.table-hover>tbody>tr:hover>.success,.table-hover>tbody>tr>td.success:hover,.table-hover>tbody>tr>th.success:hover{background-color:#d0e9c6}.table>tbody>tr.info>td,.table>tbody>tr.info>th,.table>tbody>tr>td.info,.table>tbody>tr>th.info,.table>tfoot>tr.info>td,.table>tfoot>tr.info>th,.table>tfoot>tr>td.info,.table>tfoot>tr>th.info,.table>thead>tr.info>td,.table>thead>tr.info>th,.table>thead>tr>td.info,.table>thead>tr>th.info{background-color:#d9edf7}.table-hover>tbody>tr.info:hover>td,.table-hover>tbody>tr.info:hover>th,.table-hover>tbody>tr:hover>.info,.table-hover>tbody>tr>td.info:hover,.table-hover>tbody>tr>th.info:hover{background-color:#c4e3f3}.table>tbody>tr.warning>td,.table>tbody>tr.warning>th,.table>tbody>tr>td.warning,.table>tbody>tr>th.warning,.table>tfoot>tr.warning>td,.table>tfoot>tr.warning>th,.table>tfoot>tr>td.warning,.table>tfoot>tr>th.warning,.table>thead>tr.warning>td,.table>thead>tr.warning>th,.table>thead>tr>td.warning,.table>thead>tr>th.warning{background-color:#fcf8e3}.table-hover>tbody>tr.warning:hover>td,.table-hover>tbody>tr.warning:hover>th,.table-hover>tbody>tr:hover>.warning,.table-hover>tbody>tr>td.warning:hover,.table-hover>tbody>tr>th.warning:hover{background-color:#faf2cc}.table>tbody>tr.danger>td,.table>tbody>tr.danger>th,.table>tbody>tr>td.danger,.table>tbody>tr>th.danger,.table>tfoot>tr.danger>td,.table>tfoot>tr.danger>th,.table>tfoot>tr>td.danger,.table>tfoot>tr>th.danger,.table>thead>tr.danger>td,.table>thead>tr.danger>th,.table>thead>tr>td.danger,.table>thead>tr>th.danger{background-color:#f2dede}.table-hover>tbody>tr.danger:hover>td,.table-hover>tbody>tr.danger:hover>th,.table-hover>tbody>tr:hover>.danger,.table-hover>tbody>tr>td.danger:hover,.table-hover>tbody>tr>th.danger:hover{background-color:#ebcccc}.table-responsive{min-height:.01%;overflow-x:auto}@media screen and (max-width:767px){.table-responsive{width:100%;margin-bottom:15px;overflow-y:hidden;-ms-overflow-style:-ms-autohiding-scrollbar;border:1px solid #ddd}.table-responsive>.table{margin-bottom:0}.table-responsive>.table>tbody>tr>td,.table-responsive>.table>tbody>tr>th,.table-responsive>.table>tfoot>tr>td,.table-responsive>.table>tfoot>tr>th,.table-responsive>.table>thead>tr>td,.table-responsive>.table>thead>tr>th{white-space:nowrap}.table-responsive>.table-bordered{border:0}.table-responsive>.table-bordered>tbody>tr>td:first-child,.table-responsive>.table-bordered>tbody>tr>th:first-child,.table-responsive>.table-bordered>tfoot>tr>td:first-child,.table-responsive>.table-bordered>tfoot>tr>th:first-child,.table-responsive>.table-bordered>thead>tr>td:first-child,.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.table-responsive>.table-bordered>tbody>tr>td:last-child,.table-responsive>.table-bordered>tbody>tr>th:last-child,.table-responsive>.table-bordered>tfoot>tr>td:last-child,.table-responsive>.table-bordered>tfoot>tr>th:last-child,.table-responsive>.table-bordered>thead>tr>td:last-child,.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.table-responsive>.table-bordered>tbody>tr:last-child>td,.table-responsive>.table-bordered>tbody>tr:last-child>th,.table-responsive>.table-bordered>tfoot>tr:last-child>td,.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}}fieldset{min-width:0;padding:0;margin:0;border:0}legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:inherit;color:#333;border:0;border-bottom:1px solid #e5e5e5}label{display:inline-block;max-width:100%;margin-bottom:5px;font-weight:700}input[type=search]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}input[type=checkbox],input[type=radio]{margin:4px 0 0;margin-top:1px\9;line-height:normal}input[type=file]{display:block}input[type=range]{display:block;width:100%}select[multiple],select[size]{height:auto}input[type=file]:focus,input[type=checkbox]:focus,input[type=radio]:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}output{display:block;padding-top:7px;font-size:14px;line-height:1.42857143;color:#555}.form-control{display:block;width:100%;height:34px;padding:6px 12px;font-size:14px;line-height:1.42857143;color:#555;background-color:#fff;background-image:none;border:1px solid #ccc;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075);-webkit-transition:border-color ease-in-out .15s,-webkit-box-shadow ease-in-out .15s;-o-transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s;transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s}.form-control:focus{border-color:#66afe9;outline:0;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6);box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6)}.form-control::-moz-placeholder{color:#999;opacity:1}.form-control:-ms-input-placeholder{color:#999}.form-control::-webkit-input-placeholder{color:#999}.form-control[disabled],.form-control[readonly],fieldset[disabled] .form-control{background-color:#eee;opacity:1}.form-control[disabled],fieldset[disabled] .form-control{cursor:not-allowed}textarea.form-control{height:auto}input[type=search]{-webkit-appearance:none}@media screen and (-webkit-min-device-pixel-ratio:0){input[type=date].form-control,input[type=time].form-control,input[type=datetime-local].form-control,input[type=month].form-control{line-height:34px}.input-group-sm input[type=date],.input-group-sm input[type=time],.input-group-sm input[type=datetime-local],.input-group-sm input[type=month],input[type=date].input-sm,input[type=time].input-sm,input[type=datetime-local].input-sm,input[type=month].input-sm{line-height:30px}.input-group-lg input[type=date],.input-group-lg input[type=time],.input-group-lg input[type=datetime-local],.input-group-lg input[type=month],input[type=date].input-lg,input[type=time].input-lg,input[type=datetime-local].input-lg,input[type=month].input-lg{line-height:46px}}.form-group{margin-bottom:15px}.checkbox,.radio{position:relative;display:block;margin-top:10px;margin-bottom:10px}.checkbox label,.radio label{min-height:20px;padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.checkbox input[type=checkbox],.checkbox-inline input[type=checkbox],.radio input[type=radio],.radio-inline input[type=radio]{position:absolute;margin-top:4px\9;margin-left:-20px}.checkbox+.checkbox,.radio+.radio{margin-top:-5px}.checkbox-inline,.radio-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.checkbox-inline+.checkbox-inline,.radio-inline+.radio-inline{margin-top:0;margin-left:10px}fieldset[disabled] input[type=checkbox],fieldset[disabled] input[type=radio],input[type=checkbox].disabled,input[type=checkbox][disabled],input[type=radio].disabled,input[type=radio][disabled]{cursor:not-allowed}.checkbox-inline.disabled,.radio-inline.disabled,fieldset[disabled] .checkbox-inline,fieldset[disabled] .radio-inline{cursor:not-allowed}.checkbox.disabled label,.radio.disabled label,fieldset[disabled] .checkbox label,fieldset[disabled] .radio label{cursor:not-allowed}.form-control-static{min-height:34px;padding-top:7px;padding-bottom:7px;margin-bottom:0}.form-control-static.input-lg,.form-control-static.input-sm{padding-right:0;padding-left:0}.input-sm{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-sm{height:30px;line-height:30px}select[multiple].input-sm,textarea.input-sm{height:auto}.form-group-sm .form-control{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.form-group-sm select.form-control{height:30px;line-height:30px}.form-group-sm select[multiple].form-control,.form-group-sm textarea.form-control{height:auto}.form-group-sm .form-control-static{height:30px;min-height:32px;padding:6px 10px;font-size:12px;line-height:1.5}.input-lg{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-lg{height:46px;line-height:46px}select[multiple].input-lg,textarea.input-lg{height:auto}.form-group-lg .form-control{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.form-group-lg select.form-control{height:46px;line-height:46px}.form-group-lg select[multiple].form-control,.form-group-lg textarea.form-control{height:auto}.form-group-lg .form-control-static{height:46px;min-height:38px;padding:11px 16px;font-size:18px;line-height:1.3333333}.has-feedback{position:relative}.has-feedback .form-control{padding-right:42.5px}.form-control-feedback{position:absolute;top:0;right:0;z-index:2;display:block;width:34px;height:34px;line-height:34px;text-align:center;pointer-events:none}.form-group-lg .form-control+.form-control-feedback,.input-group-lg+.form-control-feedback,.input-lg+.form-control-feedback{width:46px;height:46px;line-height:46px}.form-group-sm .form-control+.form-control-feedback,.input-group-sm+.form-control-feedback,.input-sm+.form-control-feedback{width:30px;height:30px;line-height:30px}.has-success .checkbox,.has-success .checkbox-inline,.has-success .control-label,.has-success .help-block,.has-success .radio,.has-success .radio-inline,.has-success.checkbox label,.has-success.checkbox-inline label,.has-success.radio label,.has-success.radio-inline label{color:#3c763d}.has-success .form-control{border-color:#3c763d;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-success .form-control:focus{border-color:#2b542c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168}.has-success .input-group-addon{color:#3c763d;background-color:#dff0d8;border-color:#3c763d}.has-success .form-control-feedback{color:#3c763d}.has-warning .checkbox,.has-warning .checkbox-inline,.has-warning .control-label,.has-warning .help-block,.has-warning .radio,.has-warning .radio-inline,.has-warning.checkbox label,.has-warning.checkbox-inline label,.has-warning.radio label,.has-warning.radio-inline label{color:#8a6d3b}.has-warning .form-control{border-color:#8a6d3b;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-warning .form-control:focus{border-color:#66512c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b}.has-warning .input-group-addon{color:#8a6d3b;background-color:#fcf8e3;border-color:#8a6d3b}.has-warning .form-control-feedback{color:#8a6d3b}.has-error .checkbox,.has-error .checkbox-inline,.has-error .control-label,.has-error .help-block,.has-error .radio,.has-error .radio-inline,.has-error.checkbox label,.has-error.checkbox-inline label,.has-error.radio label,.has-error.radio-inline label{color:#a94442}.has-error .form-control{border-color:#a94442;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-error .form-control:focus{border-color:#843534;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483}.has-error .input-group-addon{color:#a94442;background-color:#f2dede;border-color:#a94442}.has-error .form-control-feedback{color:#a94442}.has-feedback label~.form-control-feedback{top:25px}.has-feedback label.sr-only~.form-control-feedback{top:0}.help-block{display:block;margin-top:5px;margin-bottom:10px;color:#737373}@media (min-width:768px){.form-inline .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.form-inline .form-control{display:inline-block;width:auto;vertical-align:middle}.form-inline .form-control-static{display:inline-block}.form-inline .input-group{display:inline-table;vertical-align:middle}.form-inline .input-group .form-control,.form-inline .input-group .input-group-addon,.form-inline .input-group .input-group-btn{width:auto}.form-inline .input-group>.form-control{width:100%}.form-inline .control-label{margin-bottom:0;vertical-align:middle}.form-inline .checkbox,.form-inline .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.form-inline .checkbox label,.form-inline .radio label{padding-left:0}.form-inline .checkbox input[type=checkbox],.form-inline .radio input[type=radio]{position:relative;margin-left:0}.form-inline .has-feedback .form-control-feedback{top:0}}.form-horizontal .checkbox,.form-horizontal .checkbox-inline,.form-horizontal .radio,.form-horizontal .radio-inline{padding-top:7px;margin-top:0;margin-bottom:0}.form-horizontal .checkbox,.form-horizontal .radio{min-height:27px}.form-horizontal .form-group{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.form-horizontal .control-label{padding-top:7px;margin-bottom:0;text-align:right}}.form-horizontal .has-feedback .form-control-feedback{right:15px}@media (min-width:768px){.form-horizontal .form-group-lg .control-label{padding-top:14.33px;font-size:18px}}@media (min-width:768px){.form-horizontal .form-group-sm .control-label{padding-top:6px;font-size:12px}}.btn{display:inline-block;padding:6px 12px;margin-bottom:0;font-size:14px;font-weight:400;line-height:1.42857143;text-align:center;white-space:nowrap;vertical-align:middle;-ms-touch-action:manipulation;touch-action:manipulation;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;background-image:none;border:1px solid transparent;border-radius:4px}.btn.active.focus,.btn.active:focus,.btn.focus,.btn:active.focus,.btn:active:focus,.btn:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn.focus,.btn:focus,.btn:hover{color:#333;text-decoration:none}.btn.active,.btn:active{background-image:none;outline:0;-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn.disabled,.btn[disabled],fieldset[disabled] .btn{cursor:not-allowed;filter:alpha(opacity=65);-webkit-box-shadow:none;box-shadow:none;opacity:.65}a.btn.disabled,fieldset[disabled] a.btn{pointer-events:none}.btn-default{color:#333;background-color:#fff;border-color:#ccc}.btn-default.focus,.btn-default:focus{color:#333;background-color:#e6e6e6;border-color:#8c8c8c}.btn-default:hover{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active.focus,.btn-default.active:focus,.btn-default.active:hover,.btn-default:active.focus,.btn-default:active:focus,.btn-default:active:hover,.open>.dropdown-toggle.btn-default.focus,.open>.dropdown-toggle.btn-default:focus,.open>.dropdown-toggle.btn-default:hover{color:#333;background-color:#d4d4d4;border-color:#8c8c8c}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{background-image:none}.btn-default.disabled,.btn-default.disabled.active,.btn-default.disabled.focus,.btn-default.disabled:active,.btn-default.disabled:focus,.btn-default.disabled:hover,.btn-default[disabled],.btn-default[disabled].active,.btn-default[disabled].focus,.btn-default[disabled]:active,.btn-default[disabled]:focus,.btn-default[disabled]:hover,fieldset[disabled] .btn-default,fieldset[disabled] .btn-default.active,fieldset[disabled] .btn-default.focus,fieldset[disabled] .btn-default:active,fieldset[disabled] .btn-default:focus,fieldset[disabled] .btn-default:hover{background-color:#fff;border-color:#ccc}.btn-default .badge{color:#fff;background-color:#333}.btn-primary{color:#fff;background-color:#337ab7;border-color:#2e6da4}.btn-primary.focus,.btn-primary:focus{color:#fff;background-color:#286090;border-color:#122b40}.btn-primary:hover{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active.focus,.btn-primary.active:focus,.btn-primary.active:hover,.btn-primary:active.focus,.btn-primary:active:focus,.btn-primary:active:hover,.open>.dropdown-toggle.btn-primary.focus,.open>.dropdown-toggle.btn-primary:focus,.open>.dropdown-toggle.btn-primary:hover{color:#fff;background-color:#204d74;border-color:#122b40}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{background-image:none}.btn-primary.disabled,.btn-primary.disabled.active,.btn-primary.disabled.focus,.btn-primary.disabled:active,.btn-primary.disabled:focus,.btn-primary.disabled:hover,.btn-primary[disabled],.btn-primary[disabled].active,.btn-primary[disabled].focus,.btn-primary[disabled]:active,.btn-primary[disabled]:focus,.btn-primary[disabled]:hover,fieldset[disabled] .btn-primary,fieldset[disabled] .btn-primary.active,fieldset[disabled] .btn-primary.focus,fieldset[disabled] .btn-primary:active,fieldset[disabled] .btn-primary:focus,fieldset[disabled] .btn-primary:hover{background-color:#337ab7;border-color:#2e6da4}.btn-primary .badge{color:#337ab7;background-color:#fff}.btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c}.btn-success.focus,.btn-success:focus{color:#fff;background-color:#449d44;border-color:#255625}.btn-success:hover{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active.focus,.btn-success.active:focus,.btn-success.active:hover,.btn-success:active.focus,.btn-success:active:focus,.btn-success:active:hover,.open>.dropdown-toggle.btn-success.focus,.open>.dropdown-toggle.btn-success:focus,.open>.dropdown-toggle.btn-success:hover{color:#fff;background-color:#398439;border-color:#255625}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{background-image:none}.btn-success.disabled,.btn-success.disabled.active,.btn-success.disabled.focus,.btn-success.disabled:active,.btn-success.disabled:focus,.btn-success.disabled:hover,.btn-success[disabled],.btn-success[disabled].active,.btn-success[disabled].focus,.btn-success[disabled]:active,.btn-success[disabled]:focus,.btn-success[disabled]:hover,fieldset[disabled] .btn-success,fieldset[disabled] .btn-success.active,fieldset[disabled] .btn-success.focus,fieldset[disabled] .btn-success:active,fieldset[disabled] .btn-success:focus,fieldset[disabled] .btn-success:hover{background-color:#5cb85c;border-color:#4cae4c}.btn-success .badge{color:#5cb85c;background-color:#fff}.btn-info{color:#fff;background-color:#5bc0de;border-color:#46b8da}.btn-info.focus,.btn-info:focus{color:#fff;background-color:#31b0d5;border-color:#1b6d85}.btn-info:hover{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active.focus,.btn-info.active:focus,.btn-info.active:hover,.btn-info:active.focus,.btn-info:active:focus,.btn-info:active:hover,.open>.dropdown-toggle.btn-info.focus,.open>.dropdown-toggle.btn-info:focus,.open>.dropdown-toggle.btn-info:hover{color:#fff;background-color:#269abc;border-color:#1b6d85}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{background-image:none}.btn-info.disabled,.btn-info.disabled.active,.btn-info.disabled.focus,.btn-info.disabled:active,.btn-info.disabled:focus,.btn-info.disabled:hover,.btn-info[disabled],.btn-info[disabled].active,.btn-info[disabled].focus,.btn-info[disabled]:active,.btn-info[disabled]:focus,.btn-info[disabled]:hover,fieldset[disabled] .btn-info,fieldset[disabled] .btn-info.active,fieldset[disabled] .btn-info.focus,fieldset[disabled] .btn-info:active,fieldset[disabled] .btn-info:focus,fieldset[disabled] .btn-info:hover{background-color:#5bc0de;border-color:#46b8da}.btn-info .badge{color:#5bc0de;background-color:#fff}.btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236}.btn-warning.focus,.btn-warning:focus{color:#fff;background-color:#ec971f;border-color:#985f0d}.btn-warning:hover{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active.focus,.btn-warning.active:focus,.btn-warning.active:hover,.btn-warning:active.focus,.btn-warning:active:focus,.btn-warning:active:hover,.open>.dropdown-toggle.btn-warning.focus,.open>.dropdown-toggle.btn-warning:focus,.open>.dropdown-toggle.btn-warning:hover{color:#fff;background-color:#d58512;border-color:#985f0d}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{background-image:none}.btn-warning.disabled,.btn-warning.disabled.active,.btn-warning.disabled.focus,.btn-warning.disabled:active,.btn-warning.disabled:focus,.btn-warning.disabled:hover,.btn-warning[disabled],.btn-warning[disabled].active,.btn-warning[disabled].focus,.btn-warning[disabled]:active,.btn-warning[disabled]:focus,.btn-warning[disabled]:hover,fieldset[disabled] .btn-warning,fieldset[disabled] .btn-warning.active,fieldset[disabled] .btn-warning.focus,fieldset[disabled] .btn-warning:active,fieldset[disabled] .btn-warning:focus,fieldset[disabled] .btn-warning:hover{background-color:#f0ad4e;border-color:#eea236}.btn-warning .badge{color:#f0ad4e;background-color:#fff}.btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a}.btn-danger.focus,.btn-danger:focus{color:#fff;background-color:#c9302c;border-color:#761c19}.btn-danger:hover{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active.focus,.btn-danger.active:focus,.btn-danger.active:hover,.btn-danger:active.focus,.btn-danger:active:focus,.btn-danger:active:hover,.open>.dropdown-toggle.btn-danger.focus,.open>.dropdown-toggle.btn-danger:focus,.open>.dropdown-toggle.btn-danger:hover{color:#fff;background-color:#ac2925;border-color:#761c19}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{background-image:none}.btn-danger.disabled,.btn-danger.disabled.active,.btn-danger.disabled.focus,.btn-danger.disabled:active,.btn-danger.disabled:focus,.btn-danger.disabled:hover,.btn-danger[disabled],.btn-danger[disabled].active,.btn-danger[disabled].focus,.btn-danger[disabled]:active,.btn-danger[disabled]:focus,.btn-danger[disabled]:hover,fieldset[disabled] .btn-danger,fieldset[disabled] .btn-danger.active,fieldset[disabled] .btn-danger.focus,fieldset[disabled] .btn-danger:active,fieldset[disabled] .btn-danger:focus,fieldset[disabled] .btn-danger:hover{background-color:#d9534f;border-color:#d43f3a}.btn-danger .badge{color:#d9534f;background-color:#fff}.btn-link{font-weight:400;color:#337ab7;border-radius:0}.btn-link,.btn-link.active,.btn-link:active,.btn-link[disabled],fieldset[disabled] .btn-link{background-color:transparent;-webkit-box-shadow:none;box-shadow:none}.btn-link,.btn-link:active,.btn-link:focus,.btn-link:hover{border-color:transparent}.btn-link:focus,.btn-link:hover{color:#23527c;text-decoration:underline;background-color:transparent}.btn-link[disabled]:focus,.btn-link[disabled]:hover,fieldset[disabled] .btn-link:focus,fieldset[disabled] .btn-link:hover{color:#777;text-decoration:none}.btn-group-lg>.btn,.btn-lg{padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.btn-group-sm>.btn,.btn-sm{padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.btn-group-xs>.btn,.btn-xs{padding:1px 5px;font-size:12px;line-height:1.5;border-radius:3px}.btn-block{display:block;width:100%}.btn-block+.btn-block{margin-top:5px}input[type=button].btn-block,input[type=reset].btn-block,input[type=submit].btn-block{width:100%}.fade{opacity:0;-webkit-transition:opacity .15s linear;-o-transition:opacity .15s linear;transition:opacity .15s linear}.fade.in{opacity:1}.collapse{display:none}.collapse.in{display:block}tr.collapse.in{display:table-row}tbody.collapse.in{display:table-row-group}.collapsing{position:relative;height:0;overflow:hidden;-webkit-transition-timing-function:ease;-o-transition-timing-function:ease;transition-timing-function:ease;-webkit-transition-duration:.35s;-o-transition-duration:.35s;transition-duration:.35s;-webkit-transition-property:height,visibility;-o-transition-property:height,visibility;transition-property:height,visibility}.caret{display:inline-block;width:0;height:0;margin-left:2px;vertical-align:middle;border-top:4px dashed;border-top:4px solid\9;border-right:4px solid transparent;border-left:4px solid transparent}.dropdown,.dropup{position:relative}.dropdown-toggle:focus{outline:0}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;font-size:14px;text-align:left;list-style:none;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.15);border-radius:4px;-webkit-box-shadow:0 6px 12px rgba(0,0,0,.175);box-shadow:0 6px 12px rgba(0,0,0,.175)}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:400;line-height:1.42857143;color:#333;white-space:nowrap}.dropdown-menu>li>a:focus,.dropdown-menu>li>a:hover{color:#262626;text-decoration:none;background-color:#f5f5f5}.dropdown-menu>.active>a,.dropdown-menu>.active>a:focus,.dropdown-menu>.active>a:hover{color:#fff;text-decoration:none;background-color:#337ab7;outline:0}.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{color:#777}.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{text-decoration:none;cursor:not-allowed;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.open>.dropdown-menu{display:block}.open>a{outline:0}.dropdown-menu-right{right:0;left:auto}.dropdown-menu-left{right:auto;left:0}.dropdown-header{display:block;padding:3px 20px;font-size:12px;line-height:1.42857143;color:#777;white-space:nowrap}.dropdown-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:990}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{content:"";border-top:0;border-bottom:4px dashed;border-bottom:4px solid\9}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:2px}@media (min-width:768px){.navbar-right .dropdown-menu{right:0;left:auto}.navbar-right .dropdown-menu-left{right:auto;left:0}}.btn-group,.btn-group-vertical{position:relative;display:inline-block;vertical-align:middle}.btn-group-vertical>.btn,.btn-group>.btn{position:relative;float:left}.btn-group-vertical>.btn.active,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:hover,.btn-group>.btn.active,.btn-group>.btn:active,.btn-group>.btn:focus,.btn-group>.btn:hover{z-index:2}.btn-group .btn+.btn,.btn-group .btn+.btn-group,.btn-group .btn-group+.btn,.btn-group .btn-group+.btn-group{margin-left:-1px}.btn-toolbar{margin-left:-5px}.btn-toolbar .btn,.btn-toolbar .btn-group,.btn-toolbar .input-group{float:left}.btn-toolbar>.btn,.btn-toolbar>.btn-group,.btn-toolbar>.input-group{margin-left:5px}.btn-group>.btn:not(:first-child):not(:last-child):not(.dropdown-toggle){border-radius:0}.btn-group>.btn:first-child{margin-left:0}.btn-group>.btn:first-child:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:last-child:not(:first-child),.btn-group>.dropdown-toggle:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.btn-group>.btn-group{float:left}.btn-group>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-bottom-left-radius:0}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{padding-right:8px;padding-left:8px}.btn-group>.btn-lg+.dropdown-toggle{padding-right:12px;padding-left:12px}.btn-group.open .dropdown-toggle{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn-group.open .dropdown-toggle.btn-link{-webkit-box-shadow:none;box-shadow:none}.btn .caret{margin-left:0}.btn-lg .caret{border-width:5px 5px 0;border-bottom-width:0}.dropup .btn-lg .caret{border-width:0 5px 5px}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group,.btn-group-vertical>.btn-group>.btn{display:block;float:none;width:100%;max-width:100%}.btn-group-vertical>.btn-group>.btn{float:none}.btn-group-vertical>.btn+.btn,.btn-group-vertical>.btn+.btn-group,.btn-group-vertical>.btn-group+.btn,.btn-group-vertical>.btn-group+.btn-group{margin-top:-1px;margin-left:0}.btn-group-vertical>.btn:not(:first-child):not(:last-child){border-radius:0}.btn-group-vertical>.btn:first-child:not(:last-child){border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn:last-child:not(:first-child){border-top-left-radius:0;border-top-right-radius:0;border-bottom-left-radius:4px}.btn-group-vertical>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group-vertical>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group-vertical>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-top-right-radius:0}.btn-group-justified{display:table;width:100%;table-layout:fixed;border-collapse:separate}.btn-group-justified>.btn,.btn-group-justified>.btn-group{display:table-cell;float:none;width:1%}.btn-group-justified>.btn-group .btn{width:100%}.btn-group-justified>.btn-group .dropdown-menu{left:auto}[data-toggle=buttons]>.btn input[type=checkbox],[data-toggle=buttons]>.btn input[type=radio],[data-toggle=buttons]>.btn-group>.btn input[type=checkbox],[data-toggle=buttons]>.btn-group>.btn input[type=radio]{position:absolute;clip:rect(0,0,0,0);pointer-events:none}.input-group{position:relative;display:table;border-collapse:separate}.input-group[class*=col-]{float:none;padding-right:0;padding-left:0}.input-group .form-control{position:relative;z-index:2;float:left;width:100%;margin-bottom:0}.input-group-lg>.form-control,.input-group-lg>.input-group-addon,.input-group-lg>.input-group-btn>.btn{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-group-lg>.form-control,select.input-group-lg>.input-group-addon,select.input-group-lg>.input-group-btn>.btn{height:46px;line-height:46px}select[multiple].input-group-lg>.form-control,select[multiple].input-group-lg>.input-group-addon,select[multiple].input-group-lg>.input-group-btn>.btn,textarea.input-group-lg>.form-control,textarea.input-group-lg>.input-group-addon,textarea.input-group-lg>.input-group-btn>.btn{height:auto}.input-group-sm>.form-control,.input-group-sm>.input-group-addon,.input-group-sm>.input-group-btn>.btn{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-group-sm>.form-control,select.input-group-sm>.input-group-addon,select.input-group-sm>.input-group-btn>.btn{height:30px;line-height:30px}select[multiple].input-group-sm>.form-control,select[multiple].input-group-sm>.input-group-addon,select[multiple].input-group-sm>.input-group-btn>.btn,textarea.input-group-sm>.form-control,textarea.input-group-sm>.input-group-addon,textarea.input-group-sm>.input-group-btn>.btn{height:auto}.input-group .form-control,.input-group-addon,.input-group-btn{display:table-cell}.input-group .form-control:not(:first-child):not(:last-child),.input-group-addon:not(:first-child):not(:last-child),.input-group-btn:not(:first-child):not(:last-child){border-radius:0}.input-group-addon,.input-group-btn{width:1%;white-space:nowrap;vertical-align:middle}.input-group-addon{padding:6px 12px;font-size:14px;font-weight:400;line-height:1;color:#555;text-align:center;background-color:#eee;border:1px solid #ccc;border-radius:4px}.input-group-addon.input-sm{padding:5px 10px;font-size:12px;border-radius:3px}.input-group-addon.input-lg{padding:10px 16px;font-size:18px;border-radius:6px}.input-group-addon input[type=checkbox],.input-group-addon input[type=radio]{margin-top:0}.input-group .form-control:first-child,.input-group-addon:first-child,.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group>.btn,.input-group-btn:first-child>.dropdown-toggle,.input-group-btn:last-child>.btn-group:not(:last-child)>.btn,.input-group-btn:last-child>.btn:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.input-group-addon:first-child{border-right:0}.input-group .form-control:last-child,.input-group-addon:last-child,.input-group-btn:first-child>.btn-group:not(:first-child)>.btn,.input-group-btn:first-child>.btn:not(:first-child),.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group>.btn,.input-group-btn:last-child>.dropdown-toggle{border-top-left-radius:0;border-bottom-left-radius:0}.input-group-addon:last-child{border-left:0}.input-group-btn{position:relative;font-size:0;white-space:nowrap}.input-group-btn>.btn{position:relative}.input-group-btn>.btn+.btn{margin-left:-1px}.input-group-btn>.btn:active,.input-group-btn>.btn:focus,.input-group-btn>.btn:hover{z-index:2}.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group{margin-right:-1px}.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group{z-index:2;margin-left:-1px}.nav{padding-left:0;margin-bottom:0;list-style:none}.nav>li{position:relative;display:block}.nav>li>a{position:relative;display:block;padding:10px 15px}.nav>li>a:focus,.nav>li>a:hover{text-decoration:none;background-color:#eee}.nav>li.disabled>a{color:#777}.nav>li.disabled>a:focus,.nav>li.disabled>a:hover{color:#777;text-decoration:none;cursor:not-allowed;background-color:transparent}.nav .open>a,.nav .open>a:focus,.nav .open>a:hover{background-color:#eee;border-color:#337ab7}.nav .nav-divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.nav>li>a>img{max-width:none}.nav-tabs{border-bottom:1px solid #ddd}.nav-tabs>li{float:left;margin-bottom:-1px}.nav-tabs>li>a{margin-right:2px;line-height:1.42857143;border:1px solid transparent;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover{border-color:#eee #eee #ddd}.nav-tabs>li.active>a,.nav-tabs>li.active>a:focus,.nav-tabs>li.active>a:hover{color:#555;cursor:default;background-color:#fff;border:1px solid #ddd;border-bottom-color:transparent}.nav-tabs.nav-justified{width:100%;border-bottom:0}.nav-tabs.nav-justified>li{float:none}.nav-tabs.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-tabs.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-tabs.nav-justified>li{display:table-cell;width:1%}.nav-tabs.nav-justified>li>a{margin-bottom:0}}.nav-tabs.nav-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs.nav-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border-bottom-color:#fff}}.nav-pills>li{float:left}.nav-pills>li>a{border-radius:4px}.nav-pills>li+li{margin-left:2px}.nav-pills>li.active>a,.nav-pills>li.active>a:focus,.nav-pills>li.active>a:hover{color:#fff;background-color:#337ab7}.nav-stacked>li{float:none}.nav-stacked>li+li{margin-top:2px;margin-left:0}.nav-justified{width:100%}.nav-justified>li{float:none}.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-justified>li{display:table-cell;width:1%}.nav-justified>li>a{margin-bottom:0}}.nav-tabs-justified{border-bottom:0}.nav-tabs-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border-bottom-color:#fff}}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.nav-tabs .dropdown-menu{margin-top:-1px;border-top-left-radius:0;border-top-right-radius:0}.navbar{position:relative;min-height:50px;margin-bottom:20px;border:1px solid transparent}@media (min-width:768px){.navbar{border-radius:4px}}@media (min-width:768px){.navbar-header{float:left}}.navbar-collapse{padding-right:15px;padding-left:15px;overflow-x:visible;-webkit-overflow-scrolling:touch;border-top:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1)}.navbar-collapse.in{overflow-y:auto}@media (min-width:768px){.navbar-collapse{width:auto;border-top:0;-webkit-box-shadow:none;box-shadow:none}.navbar-collapse.collapse{display:block!important;height:auto!important;padding-bottom:0;overflow:visible!important}.navbar-collapse.in{overflow-y:visible}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse,.navbar-static-top .navbar-collapse{padding-right:0;padding-left:0}}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:340px}@media (max-device-width:480px) and (orientation:landscape){.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:200px}}.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:0;margin-left:0}}.navbar-static-top{z-index:1000;border-width:0 0 1px}@media (min-width:768px){.navbar-static-top{border-radius:0}}.navbar-fixed-bottom,.navbar-fixed-top{position:fixed;right:0;left:0;z-index:1030}@media (min-width:768px){.navbar-fixed-bottom,.navbar-fixed-top{border-radius:0}}.navbar-fixed-top{top:0;border-width:0 0 1px}.navbar-fixed-bottom{bottom:0;margin-bottom:0;border-width:1px 0 0}.navbar-brand{float:left;height:50px;padding:15px 15px;font-size:18px;line-height:20px}.navbar-brand:focus,.navbar-brand:hover{text-decoration:none}.navbar-brand>img{display:block}@media (min-width:768px){.navbar>.container .navbar-brand,.navbar>.container-fluid .navbar-brand{margin-left:-15px}}.navbar-toggle{position:relative;float:right;padding:9px 10px;margin-top:8px;margin-right:15px;margin-bottom:8px;background-color:transparent;background-image:none;border:1px solid transparent;border-radius:4px}.navbar-toggle:focus{outline:0}.navbar-toggle .icon-bar{display:block;width:22px;height:2px;border-radius:1px}.navbar-toggle .icon-bar+.icon-bar{margin-top:4px}@media (min-width:768px){.navbar-toggle{display:none}}.navbar-nav{margin:7.5px -15px}.navbar-nav>li>a{padding-top:10px;padding-bottom:10px;line-height:20px}@media (max-width:767px){.navbar-nav .open .dropdown-menu{position:static;float:none;width:auto;margin-top:0;background-color:transparent;border:0;-webkit-box-shadow:none;box-shadow:none}.navbar-nav .open .dropdown-menu .dropdown-header,.navbar-nav .open .dropdown-menu>li>a{padding:5px 15px 5px 25px}.navbar-nav .open .dropdown-menu>li>a{line-height:20px}.navbar-nav .open .dropdown-menu>li>a:focus,.navbar-nav .open .dropdown-menu>li>a:hover{background-image:none}}@media (min-width:768px){.navbar-nav{float:left;margin:0}.navbar-nav>li{float:left}.navbar-nav>li>a{padding-top:15px;padding-bottom:15px}}.navbar-form{padding:10px 15px;margin-top:8px;margin-right:-15px;margin-bottom:8px;margin-left:-15px;border-top:1px solid transparent;border-bottom:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1)}@media (min-width:768px){.navbar-form .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.navbar-form .form-control{display:inline-block;width:auto;vertical-align:middle}.navbar-form .form-control-static{display:inline-block}.navbar-form .input-group{display:inline-table;vertical-align:middle}.navbar-form .input-group .form-control,.navbar-form .input-group .input-group-addon,.navbar-form .input-group .input-group-btn{width:auto}.navbar-form .input-group>.form-control{width:100%}.navbar-form .control-label{margin-bottom:0;vertical-align:middle}.navbar-form .checkbox,.navbar-form .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.navbar-form .checkbox label,.navbar-form .radio label{padding-left:0}.navbar-form .checkbox input[type=checkbox],.navbar-form .radio input[type=radio]{position:relative;margin-left:0}.navbar-form .has-feedback .form-control-feedback{top:0}}@media (max-width:767px){.navbar-form .form-group{margin-bottom:5px}.navbar-form .form-group:last-child{margin-bottom:0}}@media (min-width:768px){.navbar-form{width:auto;padding-top:0;padding-bottom:0;margin-right:0;margin-left:0;border:0;-webkit-box-shadow:none;box-shadow:none}}.navbar-nav>li>.dropdown-menu{margin-top:0;border-top-left-radius:0;border-top-right-radius:0}.navbar-fixed-bottom .navbar-nav>li>.dropdown-menu{margin-bottom:0;border-top-left-radius:4px;border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.navbar-btn{margin-top:8px;margin-bottom:8px}.navbar-btn.btn-sm{margin-top:10px;margin-bottom:10px}.navbar-btn.btn-xs{margin-top:14px;margin-bottom:14px}.navbar-text{margin-top:15px;margin-bottom:15px}@media (min-width:768px){.navbar-text{float:left;margin-right:15px;margin-left:15px}}@media (min-width:768px){.navbar-left{float:left!important}.navbar-right{float:right!important;margin-right:-15px}.navbar-right~.navbar-right{margin-right:0}}.navbar-default{background-color:#f8f8f8;border-color:#e7e7e7}.navbar-default .navbar-brand{color:#777}.navbar-default .navbar-brand:focus,.navbar-default .navbar-brand:hover{color:#5e5e5e;background-color:transparent}.navbar-default .navbar-text{color:#777}.navbar-default .navbar-nav>li>a{color:#777}.navbar-default .navbar-nav>li>a:focus,.navbar-default .navbar-nav>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav>.active>a,.navbar-default .navbar-nav>.active>a:focus,.navbar-default .navbar-nav>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav>.disabled>a,.navbar-default .navbar-nav>.disabled>a:focus,.navbar-default .navbar-nav>.disabled>a:hover{color:#ccc;background-color:transparent}.navbar-default .navbar-toggle{border-color:#ddd}.navbar-default .navbar-toggle:focus,.navbar-default .navbar-toggle:hover{background-color:#ddd}.navbar-default .navbar-toggle .icon-bar{background-color:#888}.navbar-default .navbar-collapse,.navbar-default .navbar-form{border-color:#e7e7e7}.navbar-default .navbar-nav>.open>a,.navbar-default .navbar-nav>.open>a:focus,.navbar-default .navbar-nav>.open>a:hover{color:#555;background-color:#e7e7e7}@media (max-width:767px){.navbar-default .navbar-nav .open .dropdown-menu>li>a{color:#777}.navbar-default .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav .open .dropdown-menu>.active>a,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#ccc;background-color:transparent}}.navbar-default .navbar-link{color:#777}.navbar-default .navbar-link:hover{color:#333}.navbar-default .btn-link{color:#777}.navbar-default .btn-link:focus,.navbar-default .btn-link:hover{color:#333}.navbar-default .btn-link[disabled]:focus,.navbar-default .btn-link[disabled]:hover,fieldset[disabled] .navbar-default .btn-link:focus,fieldset[disabled] .navbar-default .btn-link:hover{color:#ccc}.navbar-inverse{background-color:#222;border-color:#080808}.navbar-inverse .navbar-brand{color:#9d9d9d}.navbar-inverse .navbar-brand:focus,.navbar-inverse .navbar-brand:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-text{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a:focus,.navbar-inverse .navbar-nav>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav>.active>a,.navbar-inverse .navbar-nav>.active>a:focus,.navbar-inverse .navbar-nav>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav>.disabled>a,.navbar-inverse .navbar-nav>.disabled>a:focus,.navbar-inverse .navbar-nav>.disabled>a:hover{color:#444;background-color:transparent}.navbar-inverse .navbar-toggle{border-color:#333}.navbar-inverse .navbar-toggle:focus,.navbar-inverse .navbar-toggle:hover{background-color:#333}.navbar-inverse .navbar-toggle .icon-bar{background-color:#fff}.navbar-inverse .navbar-collapse,.navbar-inverse .navbar-form{border-color:#101010}.navbar-inverse .navbar-nav>.open>a,.navbar-inverse .navbar-nav>.open>a:focus,.navbar-inverse .navbar-nav>.open>a:hover{color:#fff;background-color:#080808}@media (max-width:767px){.navbar-inverse .navbar-nav .open .dropdown-menu>.dropdown-header{border-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu .divider{background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#444;background-color:transparent}}.navbar-inverse .navbar-link{color:#9d9d9d}.navbar-inverse .navbar-link:hover{color:#fff}.navbar-inverse .btn-link{color:#9d9d9d}.navbar-inverse .btn-link:focus,.navbar-inverse .btn-link:hover{color:#fff}.navbar-inverse .btn-link[disabled]:focus,.navbar-inverse .btn-link[disabled]:hover,fieldset[disabled] .navbar-inverse .btn-link:focus,fieldset[disabled] .navbar-inverse .btn-link:hover{color:#444}.breadcrumb{padding:8px 15px;margin-bottom:20px;list-style:none;background-color:#f5f5f5;border-radius:4px}.breadcrumb>li{display:inline-block}.breadcrumb>li+li:before{padding:0 5px;color:#ccc;content:"/\00a0"}.breadcrumb>.active{color:#777}.pagination{display:inline-block;padding-left:0;margin:20px 0;border-radius:4px}.pagination>li{display:inline}.pagination>li>a,.pagination>li>span{position:relative;float:left;padding:6px 12px;margin-left:-1px;line-height:1.42857143;color:#337ab7;text-decoration:none;background-color:#fff;border:1px solid #ddd}.pagination>li:first-child>a,.pagination>li:first-child>span{margin-left:0;border-top-left-radius:4px;border-bottom-left-radius:4px}.pagination>li:last-child>a,.pagination>li:last-child>span{border-top-right-radius:4px;border-bottom-right-radius:4px}.pagination>li>a:focus,.pagination>li>a:hover,.pagination>li>span:focus,.pagination>li>span:hover{z-index:3;color:#23527c;background-color:#eee;border-color:#ddd}.pagination>.active>a,.pagination>.active>a:focus,.pagination>.active>a:hover,.pagination>.active>span,.pagination>.active>span:focus,.pagination>.active>span:hover{z-index:2;color:#fff;cursor:default;background-color:#337ab7;border-color:#337ab7}.pagination>.disabled>a,.pagination>.disabled>a:focus,.pagination>.disabled>a:hover,.pagination>.disabled>span,.pagination>.disabled>span:focus,.pagination>.disabled>span:hover{color:#777;cursor:not-allowed;background-color:#fff;border-color:#ddd}.pagination-lg>li>a,.pagination-lg>li>span{padding:10px 16px;font-size:18px;line-height:1.3333333}.pagination-lg>li:first-child>a,.pagination-lg>li:first-child>span{border-top-left-radius:6px;border-bottom-left-radius:6px}.pagination-lg>li:last-child>a,.pagination-lg>li:last-child>span{border-top-right-radius:6px;border-bottom-right-radius:6px}.pagination-sm>li>a,.pagination-sm>li>span{padding:5px 10px;font-size:12px;line-height:1.5}.pagination-sm>li:first-child>a,.pagination-sm>li:first-child>span{border-top-left-radius:3px;border-bottom-left-radius:3px}.pagination-sm>li:last-child>a,.pagination-sm>li:last-child>span{border-top-right-radius:3px;border-bottom-right-radius:3px}.pager{padding-left:0;margin:20px 0;text-align:center;list-style:none}.pager li{display:inline}.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#fff;border:1px solid #ddd;border-radius:15px}.pager li>a:focus,.pager li>a:hover{text-decoration:none;background-color:#eee}.pager .next>a,.pager .next>span{float:right}.pager .previous>a,.pager .previous>span{float:left}.pager .disabled>a,.pager .disabled>a:focus,.pager .disabled>a:hover,.pager .disabled>span{color:#777;cursor:not-allowed;background-color:#fff}.label{display:inline;padding:.2em .6em .3em;font-size:75%;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:.25em}a.label:focus,a.label:hover{color:#fff;text-decoration:none;cursor:pointer}.label:empty{display:none}.btn .label{position:relative;top:-1px}.label-default{background-color:#777}.label-default[href]:focus,.label-default[href]:hover{background-color:#5e5e5e}.label-primary{background-color:#337ab7}.label-primary[href]:focus,.label-primary[href]:hover{background-color:#286090}.label-success{background-color:#5cb85c}.label-success[href]:focus,.label-success[href]:hover{background-color:#449d44}.label-info{background-color:#5bc0de}.label-info[href]:focus,.label-info[href]:hover{background-color:#31b0d5}.label-warning{background-color:#f0ad4e}.label-warning[href]:focus,.label-warning[href]:hover{background-color:#ec971f}.label-danger{background-color:#d9534f}.label-danger[href]:focus,.label-danger[href]:hover{background-color:#c9302c}.badge{display:inline-block;min-width:10px;padding:3px 7px;font-size:12px;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:middle;background-color:#777;border-radius:10px}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.btn-group-xs>.btn .badge,.btn-xs .badge{top:0;padding:1px 5px}a.badge:focus,a.badge:hover{color:#fff;text-decoration:none;cursor:pointer}.list-group-item.active>.badge,.nav-pills>.active>a>.badge{color:#337ab7;background-color:#fff}.list-group-item>.badge{float:right}.list-group-item>.badge+.badge{margin-right:5px}.nav-pills>li>a>.badge{margin-left:3px}.jumbotron{padding-top:30px;padding-bottom:30px;margin-bottom:30px;color:inherit;background-color:#eee}.jumbotron .h1,.jumbotron h1{color:inherit}.jumbotron p{margin-bottom:15px;font-size:21px;font-weight:200}.jumbotron>hr{border-top-color:#d5d5d5}.container .jumbotron,.container-fluid .jumbotron{border-radius:6px}.jumbotron .container{max-width:100%}@media screen and (min-width:768px){.jumbotron{padding-top:48px;padding-bottom:48px}.container .jumbotron,.container-fluid .jumbotron{padding-right:60px;padding-left:60px}.jumbotron .h1,.jumbotron h1{font-size:63px}}.thumbnail{display:block;padding:4px;margin-bottom:20px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:border .2s ease-in-out;-o-transition:border .2s ease-in-out;transition:border .2s ease-in-out}.thumbnail a>img,.thumbnail>img{margin-right:auto;margin-left:auto}a.thumbnail.active,a.thumbnail:focus,a.thumbnail:hover{border-color:#337ab7}.thumbnail .caption{padding:9px;color:#333}.alert{padding:15px;margin-bottom:20px;border:1px solid transparent;border-radius:4px}.alert h4{margin-top:0;color:inherit}.alert .alert-link{font-weight:700}.alert>p,.alert>ul{margin-bottom:0}.alert>p+p{margin-top:5px}.alert-dismissable,.alert-dismissible{padding-right:35px}.alert-dismissable .close,.alert-dismissible .close{position:relative;top:-2px;right:-21px;color:inherit}.alert-success{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.alert-success hr{border-top-color:#c9e2b3}.alert-success .alert-link{color:#2b542c}.alert-info{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.alert-info hr{border-top-color:#a6e1ec}.alert-info .alert-link{color:#245269}.alert-warning{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.alert-warning hr{border-top-color:#f7e1b5}.alert-warning .alert-link{color:#66512c}.alert-danger{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.alert-danger hr{border-top-color:#e4b9c0}.alert-danger .alert-link{color:#843534}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{height:20px;margin-bottom:20px;overflow:hidden;background-color:#f5f5f5;border-radius:4px;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,.1);box-shadow:inset 0 1px 2px rgba(0,0,0,.1)}.progress-bar{float:left;width:0;height:100%;font-size:12px;line-height:20px;color:#fff;text-align:center;background-color:#337ab7;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);-webkit-transition:width .6s ease;-o-transition:width .6s ease;transition:width .6s ease}.progress-bar-striped,.progress-striped .progress-bar{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);-webkit-background-size:40px 40px;background-size:40px 40px}.progress-bar.active,.progress.active .progress-bar{-webkit-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-bar-success{background-color:#5cb85c}.progress-striped .progress-bar-success{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-info{background-color:#5bc0de}.progress-striped .progress-bar-info{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-warning{background-color:#f0ad4e}.progress-striped .progress-bar-warning{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-danger{background-color:#d9534f}.progress-striped .progress-bar-danger{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.media{margin-top:15px}.media:first-child{margin-top:0}.media,.media-body{overflow:hidden;zoom:1}.media-body{width:10000px}.media-object{display:block}.media-object.img-thumbnail{max-width:none}.media-right,.media>.pull-right{padding-left:10px}.media-left,.media>.pull-left{padding-right:10px}.media-body,.media-left,.media-right{display:table-cell;vertical-align:top}.media-middle{vertical-align:middle}.media-bottom{vertical-align:bottom}.media-heading{margin-top:0;margin-bottom:5px}.media-list{padding-left:0;list-style:none}.list-group{padding-left:0;margin-bottom:20px}.list-group-item{position:relative;display:block;padding:10px 15px;margin-bottom:-1px;background-color:#fff;border:1px solid #ddd}.list-group-item:first-child{border-top-left-radius:4px;border-top-right-radius:4px}.list-group-item:last-child{margin-bottom:0;border-bottom-right-radius:4px;border-bottom-left-radius:4px}a.list-group-item,button.list-group-item{color:#555}a.list-group-item .list-group-item-heading,button.list-group-item .list-group-item-heading{color:#333}a.list-group-item:focus,a.list-group-item:hover,button.list-group-item:focus,button.list-group-item:hover{color:#555;text-decoration:none;background-color:#f5f5f5}button.list-group-item{width:100%;text-align:left}.list-group-item.disabled,.list-group-item.disabled:focus,.list-group-item.disabled:hover{color:#777;cursor:not-allowed;background-color:#eee}.list-group-item.disabled .list-group-item-heading,.list-group-item.disabled:focus .list-group-item-heading,.list-group-item.disabled:hover .list-group-item-heading{color:inherit}.list-group-item.disabled .list-group-item-text,.list-group-item.disabled:focus .list-group-item-text,.list-group-item.disabled:hover .list-group-item-text{color:#777}.list-group-item.active,.list-group-item.active:focus,.list-group-item.active:hover{z-index:2;color:#fff;background-color:#337ab7;border-color:#337ab7}.list-group-item.active .list-group-item-heading,.list-group-item.active .list-group-item-heading>.small,.list-group-item.active .list-group-item-heading>small,.list-group-item.active:focus .list-group-item-heading,.list-group-item.active:focus .list-group-item-heading>.small,.list-group-item.active:focus .list-group-item-heading>small,.list-group-item.active:hover .list-group-item-heading,.list-group-item.active:hover .list-group-item-heading>.small,.list-group-item.active:hover .list-group-item-heading>small{color:inherit}.list-group-item.active .list-group-item-text,.list-group-item.active:focus .list-group-item-text,.list-group-item.active:hover .list-group-item-text{color:#c7ddef}.list-group-item-success{color:#3c763d;background-color:#dff0d8}a.list-group-item-success,button.list-group-item-success{color:#3c763d}a.list-group-item-success .list-group-item-heading,button.list-group-item-success .list-group-item-heading{color:inherit}a.list-group-item-success:focus,a.list-group-item-success:hover,button.list-group-item-success:focus,button.list-group-item-success:hover{color:#3c763d;background-color:#d0e9c6}a.list-group-item-success.active,a.list-group-item-success.active:focus,a.list-group-item-success.active:hover,button.list-group-item-success.active,button.list-group-item-success.active:focus,button.list-group-item-success.active:hover{color:#fff;background-color:#3c763d;border-color:#3c763d}.list-group-item-info{color:#31708f;background-color:#d9edf7}a.list-group-item-info,button.list-group-item-info{color:#31708f}a.list-group-item-info .list-group-item-heading,button.list-group-item-info .list-group-item-heading{color:inherit}a.list-group-item-info:focus,a.list-group-item-info:hover,button.list-group-item-info:focus,button.list-group-item-info:hover{color:#31708f;background-color:#c4e3f3}a.list-group-item-info.active,a.list-group-item-info.active:focus,a.list-group-item-info.active:hover,button.list-group-item-info.active,button.list-group-item-info.active:focus,button.list-group-item-info.active:hover{color:#fff;background-color:#31708f;border-color:#31708f}.list-group-item-warning{color:#8a6d3b;background-color:#fcf8e3}a.list-group-item-warning,button.list-group-item-warning{color:#8a6d3b}a.list-group-item-warning .list-group-item-heading,button.list-group-item-warning .list-group-item-heading{color:inherit}a.list-group-item-warning:focus,a.list-group-item-warning:hover,button.list-group-item-warning:focus,button.list-group-item-warning:hover{color:#8a6d3b;background-color:#faf2cc}a.list-group-item-warning.active,a.list-group-item-warning.active:focus,a.list-group-item-warning.active:hover,button.list-group-item-warning.active,button.list-group-item-warning.active:focus,button.list-group-item-warning.active:hover{color:#fff;background-color:#8a6d3b;border-color:#8a6d3b}.list-group-item-danger{color:#a94442;background-color:#f2dede}a.list-group-item-danger,button.list-group-item-danger{color:#a94442}a.list-group-item-danger .list-group-item-heading,button.list-group-item-danger .list-group-item-heading{color:inherit}a.list-group-item-danger:focus,a.list-group-item-danger:hover,button.list-group-item-danger:focus,button.list-group-item-danger:hover{color:#a94442;background-color:#ebcccc}a.list-group-item-danger.active,a.list-group-item-danger.active:focus,a.list-group-item-danger.active:hover,button.list-group-item-danger.active,button.list-group-item-danger.active:focus,button.list-group-item-danger.active:hover{color:#fff;background-color:#a94442;border-color:#a94442}.list-group-item-heading{margin-top:0;margin-bottom:5px}.list-group-item-text{margin-bottom:0;line-height:1.3}.panel{margin-bottom:20px;background-color:#fff;border:1px solid transparent;border-radius:4px;-webkit-box-shadow:0 1px 1px rgba(0,0,0,.05);box-shadow:0 1px 1px rgba(0,0,0,.05)}.panel-body{padding:15px}.panel-heading{padding:10px 15px;border-bottom:1px solid transparent;border-top-left-radius:3px;border-top-right-radius:3px}.panel-heading>.dropdown .dropdown-toggle{color:inherit}.panel-title{margin-top:0;margin-bottom:0;font-size:16px;color:inherit}.panel-title>.small,.panel-title>.small>a,.panel-title>a,.panel-title>small,.panel-title>small>a{color:inherit}.panel-footer{padding:10px 15px;background-color:#f5f5f5;border-top:1px solid #ddd;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.list-group,.panel>.panel-collapse>.list-group{margin-bottom:0}.panel>.list-group .list-group-item,.panel>.panel-collapse>.list-group .list-group-item{border-width:1px 0;border-radius:0}.panel>.list-group:first-child .list-group-item:first-child,.panel>.panel-collapse>.list-group:first-child .list-group-item:first-child{border-top:0;border-top-left-radius:3px;border-top-right-radius:3px}.panel>.list-group:last-child .list-group-item:last-child,.panel>.panel-collapse>.list-group:last-child .list-group-item:last-child{border-bottom:0;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.panel-heading+.panel-collapse>.list-group .list-group-item:first-child{border-top-left-radius:0;border-top-right-radius:0}.panel-heading+.list-group .list-group-item:first-child{border-top-width:0}.list-group+.panel-footer{border-top-width:0}.panel>.panel-collapse>.table,.panel>.table,.panel>.table-responsive>.table{margin-bottom:0}.panel>.panel-collapse>.table caption,.panel>.table caption,.panel>.table-responsive>.table caption{padding-right:15px;padding-left:15px}.panel>.table-responsive:first-child>.table:first-child,.panel>.table:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child,.panel>.table:first-child>thead:first-child>tr:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table:first-child>thead:first-child>tr:first-child th:first-child{border-top-left-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table:first-child>thead:first-child>tr:first-child th:last-child{border-top-right-radius:3px}.panel>.table-responsive:last-child>.table:last-child,.panel>.table:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:first-child{border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:last-child{border-bottom-right-radius:3px}.panel>.panel-body+.table,.panel>.panel-body+.table-responsive,.panel>.table+.panel-body,.panel>.table-responsive+.panel-body{border-top:1px solid #ddd}.panel>.table>tbody:first-child>tr:first-child td,.panel>.table>tbody:first-child>tr:first-child th{border-top:0}.panel>.table-bordered,.panel>.table-responsive>.table-bordered{border:0}.panel>.table-bordered>tbody>tr>td:first-child,.panel>.table-bordered>tbody>tr>th:first-child,.panel>.table-bordered>tfoot>tr>td:first-child,.panel>.table-bordered>tfoot>tr>th:first-child,.panel>.table-bordered>thead>tr>td:first-child,.panel>.table-bordered>thead>tr>th:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:first-child,.panel>.table-responsive>.table-bordered>thead>tr>td:first-child,.panel>.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.panel>.table-bordered>tbody>tr>td:last-child,.panel>.table-bordered>tbody>tr>th:last-child,.panel>.table-bordered>tfoot>tr>td:last-child,.panel>.table-bordered>tfoot>tr>th:last-child,.panel>.table-bordered>thead>tr>td:last-child,.panel>.table-bordered>thead>tr>th:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:last-child,.panel>.table-responsive>.table-bordered>thead>tr>td:last-child,.panel>.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.panel>.table-bordered>tbody>tr:first-child>td,.panel>.table-bordered>tbody>tr:first-child>th,.panel>.table-bordered>thead>tr:first-child>td,.panel>.table-bordered>thead>tr:first-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>th,.panel>.table-responsive>.table-bordered>thead>tr:first-child>td,.panel>.table-responsive>.table-bordered>thead>tr:first-child>th{border-bottom:0}.panel>.table-bordered>tbody>tr:last-child>td,.panel>.table-bordered>tbody>tr:last-child>th,.panel>.table-bordered>tfoot>tr:last-child>td,.panel>.table-bordered>tfoot>tr:last-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>th,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>td,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}.panel>.table-responsive{margin-bottom:0;border:0}.panel-group{margin-bottom:20px}.panel-group .panel{margin-bottom:0;border-radius:4px}.panel-group .panel+.panel{margin-top:5px}.panel-group .panel-heading{border-bottom:0}.panel-group .panel-heading+.panel-collapse>.list-group,.panel-group .panel-heading+.panel-collapse>.panel-body{border-top:1px solid #ddd}.panel-group .panel-footer{border-top:0}.panel-group .panel-footer+.panel-collapse .panel-body{border-bottom:1px solid #ddd}.panel-default{border-color:#ddd}.panel-default>.panel-heading{color:#333;background-color:#f5f5f5;border-color:#ddd}.panel-default>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ddd}.panel-default>.panel-heading .badge{color:#f5f5f5;background-color:#333}.panel-default>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ddd}.panel-primary{border-color:#337ab7}.panel-primary>.panel-heading{color:#fff;background-color:#337ab7;border-color:#337ab7}.panel-primary>.panel-heading+.panel-collapse>.panel-body{border-top-color:#337ab7}.panel-primary>.panel-heading .badge{color:#337ab7;background-color:#fff}.panel-primary>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#337ab7}.panel-success{border-color:#d6e9c6}.panel-success>.panel-heading{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.panel-success>.panel-heading+.panel-collapse>.panel-body{border-top-color:#d6e9c6}.panel-success>.panel-heading .badge{color:#dff0d8;background-color:#3c763d}.panel-success>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#d6e9c6}.panel-info{border-color:#bce8f1}.panel-info>.panel-heading{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.panel-info>.panel-heading+.panel-collapse>.panel-body{border-top-color:#bce8f1}.panel-info>.panel-heading .badge{color:#d9edf7;background-color:#31708f}.panel-info>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#bce8f1}.panel-warning{border-color:#faebcc}.panel-warning>.panel-heading{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.panel-warning>.panel-heading+.panel-collapse>.panel-body{border-top-color:#faebcc}.panel-warning>.panel-heading .badge{color:#fcf8e3;background-color:#8a6d3b}.panel-warning>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#faebcc}.panel-danger{border-color:#ebccd1}.panel-danger>.panel-heading{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.panel-danger>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ebccd1}.panel-danger>.panel-heading .badge{color:#f2dede;background-color:#a94442}.panel-danger>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ebccd1}.embed-responsive{position:relative;display:block;height:0;padding:0;overflow:hidden}.embed-responsive .embed-responsive-item,.embed-responsive embed,.embed-responsive iframe,.embed-responsive object,.embed-responsive video{position:absolute;top:0;bottom:0;left:0;width:100%;height:100%;border:0}.embed-responsive-16by9{padding-bottom:56.25%}.embed-responsive-4by3{padding-bottom:75%}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.05);box-shadow:inset 0 1px 1px rgba(0,0,0,.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,.15)}.well-lg{padding:24px;border-radius:6px}.well-sm{padding:9px;border-radius:3px}.close{float:right;font-size:21px;font-weight:700;line-height:1;color:#000;text-shadow:0 1px 0 #fff;filter:alpha(opacity=20);opacity:.2}.close:focus,.close:hover{color:#000;text-decoration:none;cursor:pointer;filter:alpha(opacity=50);opacity:.5}button.close{-webkit-appearance:none;padding:0;cursor:pointer;background:0 0;border:0}.modal-open{overflow:hidden}.modal{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1050;display:none;overflow:hidden;-webkit-overflow-scrolling:touch;outline:0}.modal.fade .modal-dialog{-webkit-transition:-webkit-transform .3s ease-out;-o-transition:-o-transform .3s ease-out;transition:transform .3s ease-out;-webkit-transform:translate(0,-25%);-ms-transform:translate(0,-25%);-o-transform:translate(0,-25%);transform:translate(0,-25%)}.modal.in .modal-dialog{-webkit-transform:translate(0,0);-ms-transform:translate(0,0);-o-transform:translate(0,0);transform:translate(0,0)}.modal-open .modal{overflow-x:hidden;overflow-y:auto}.modal-dialog{position:relative;width:auto;margin:10px}.modal-content{position:relative;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #999;border:1px solid rgba(0,0,0,.2);border-radius:6px;outline:0;-webkit-box-shadow:0 3px 9px rgba(0,0,0,.5);box-shadow:0 3px 9px rgba(0,0,0,.5)}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000}.modal-backdrop.fade{filter:alpha(opacity=0);opacity:0}.modal-backdrop.in{filter:alpha(opacity=50);opacity:.5}.modal-header{min-height:16.43px;padding:15px;border-bottom:1px solid #e5e5e5}.modal-header .close{margin-top:-2px}.modal-title{margin:0;line-height:1.42857143}.modal-body{position:relative;padding:15px}.modal-footer{padding:15px;text-align:right;border-top:1px solid #e5e5e5}.modal-footer .btn+.btn{margin-bottom:0;margin-left:5px}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.modal-footer .btn-block+.btn-block{margin-left:0}.modal-scrollbar-measure{position:absolute;top:-9999px;width:50px;height:50px;overflow:scroll}@media (min-width:768px){.modal-dialog{width:600px;margin:30px auto}.modal-content{-webkit-box-shadow:0 5px 15px rgba(0,0,0,.5);box-shadow:0 5px 15px rgba(0,0,0,.5)}.modal-sm{width:300px}}@media (min-width:992px){.modal-lg{width:900px}}.tooltip{position:absolute;z-index:1070;display:block;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:12px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;filter:alpha(opacity=0);opacity:0;line-break:auto}.tooltip.in{filter:alpha(opacity=90);opacity:.9}.tooltip.top{padding:5px 0;margin-top:-3px}.tooltip.right{padding:0 5px;margin-left:3px}.tooltip.bottom{padding:5px 0;margin-top:3px}.tooltip.left{padding:0 5px;margin-left:-3px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#fff;text-align:center;background-color:#000;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-left .tooltip-arrow{right:5px;bottom:0;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-right .tooltip-arrow{bottom:0;left:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-width:5px 5px 5px 0;border-right-color:#000}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-width:5px 0 5px 5px;border-left-color:#000}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-left .tooltip-arrow{top:0;right:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-right .tooltip-arrow{top:0;left:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.popover{position:absolute;top:0;left:0;z-index:1060;display:none;max-width:276px;padding:1px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.2);border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,.2);box-shadow:0 5px 10px rgba(0,0,0,.2);line-break:auto}.popover.top{margin-top:-10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-left:-10px}.popover-title{padding:8px 14px;margin:0;font-size:14px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;border-radius:5px 5px 0 0}.popover-content{padding:9px 14px}.popover>.arrow,.popover>.arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid}.popover>.arrow{border-width:11px}.popover>.arrow:after{content:"";border-width:10px}.popover.top>.arrow{bottom:-11px;left:50%;margin-left:-11px;border-top-color:#999;border-top-color:rgba(0,0,0,.25);border-bottom-width:0}.popover.top>.arrow:after{bottom:1px;margin-left:-10px;content:" ";border-top-color:#fff;border-bottom-width:0}.popover.right>.arrow{top:50%;left:-11px;margin-top:-11px;border-right-color:#999;border-right-color:rgba(0,0,0,.25);border-left-width:0}.popover.right>.arrow:after{bottom:-10px;left:1px;content:" ";border-right-color:#fff;border-left-width:0}.popover.bottom>.arrow{top:-11px;left:50%;margin-left:-11px;border-top-width:0;border-bottom-color:#999;border-bottom-color:rgba(0,0,0,.25)}.popover.bottom>.arrow:after{top:1px;margin-left:-10px;content:" ";border-top-width:0;border-bottom-color:#fff}.popover.left>.arrow{top:50%;right:-11px;margin-top:-11px;border-right-width:0;border-left-color:#999;border-left-color:rgba(0,0,0,.25)}.popover.left>.arrow:after{right:1px;bottom:-10px;content:" ";border-right-width:0;border-left-color:#fff}.carousel{position:relative}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner>.item{position:relative;display:none;-webkit-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>a>img,.carousel-inner>.item>img{line-height:1}@media all and (transform-3d),(-webkit-transform-3d){.carousel-inner>.item{-webkit-transition:-webkit-transform .6s ease-in-out;-o-transition:-o-transform .6s ease-in-out;transition:transform .6s ease-in-out;-webkit-backface-visibility:hidden;backface-visibility:hidden;-webkit-perspective:1000px;perspective:1000px}.carousel-inner>.item.active.right,.carousel-inner>.item.next{left:0;-webkit-transform:translate3d(100%,0,0);transform:translate3d(100%,0,0)}.carousel-inner>.item.active.left,.carousel-inner>.item.prev{left:0;-webkit-transform:translate3d(-100%,0,0);transform:translate3d(-100%,0,0)}.carousel-inner>.item.active,.carousel-inner>.item.next.left,.carousel-inner>.item.prev.right{left:0;-webkit-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:0;bottom:0;left:0;width:15%;font-size:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6);filter:alpha(opacity=50);opacity:.5}.carousel-control.left{background-image:-webkit-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.5)),to(rgba(0,0,0,.0001)));background-image:linear-gradient(to right,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);background-repeat:repeat-x}.carousel-control.right{right:0;left:auto;background-image:-webkit-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.0001)),to(rgba(0,0,0,.5)));background-image:linear-gradient(to right,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);background-repeat:repeat-x}.carousel-control:focus,.carousel-control:hover{color:#fff;text-decoration:none;filter:alpha(opacity=90);outline:0;opacity:.9}.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{position:absolute;top:50%;z-index:5;display:inline-block;margin-top:-10px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{left:50%;margin-left:-10px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{right:50%;margin-right:-10px}.carousel-control .icon-next,.carousel-control .icon-prev{width:20px;height:20px;font-family:serif;line-height:1}.carousel-control .icon-prev:before{content:'\2039'}.carousel-control .icon-next:before{content:'\203a'}.carousel-indicators{position:absolute;bottom:10px;left:50%;z-index:15;width:60%;padding-left:0;margin-left:-30%;text-align:center;list-style:none}.carousel-indicators li{display:inline-block;width:10px;height:10px;margin:1px;text-indent:-999px;cursor:pointer;background-color:#000\9;background-color:rgba(0,0,0,0);border:1px solid #fff;border-radius:10px}.carousel-indicators .active{width:12px;height:12px;margin:0;background-color:#fff}.carousel-caption{position:absolute;right:15%;bottom:20px;left:15%;z-index:10;padding-top:20px;padding-bottom:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6)}.carousel-caption .btn{text-shadow:none}@media screen and (min-width:768px){.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{width:30px;height:30px;margin-top:-15px;font-size:30px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{margin-left:-15px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{margin-right:-15px}.carousel-caption{right:20%;left:20%;padding-bottom:30px}.carousel-indicators{bottom:20px}}.btn-group-vertical>.btn-group:after,.btn-group-vertical>.btn-group:before,.btn-toolbar:after,.btn-toolbar:before,.clearfix:after,.clearfix:before,.container-fluid:after,.container-fluid:before,.container:after,.container:before,.dl-horizontal dd:after,.dl-horizontal dd:before,.form-horizontal .form-group:after,.form-horizontal .form-group:before,.modal-footer:after,.modal-footer:before,.nav:after,.nav:before,.navbar-collapse:after,.navbar-collapse:before,.navbar-header:after,.navbar-header:before,.navbar:after,.navbar:before,.pager:after,.pager:before,.panel-body:after,.panel-body:before,.row:after,.row:before{display:table;content:" "}.btn-group-vertical>.btn-group:after,.btn-toolbar:after,.clearfix:after,.container-fluid:after,.container:after,.dl-horizontal dd:after,.form-horizontal .form-group:after,.modal-footer:after,.nav:after,.navbar-collapse:after,.navbar-header:after,.navbar:after,.pager:after,.panel-body:after,.row:after{clear:both}.center-block{display:block;margin-right:auto;margin-left:auto}.pull-right{float:right!important}.pull-left{float:left!important}.hide{display:none!important}.show{display:block!important}.invisible{visibility:hidden}.text-hide{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.hidden{display:none!important}.affix{position:fixed}@-ms-viewport{width:device-width}.visible-lg,.visible-md,.visible-sm,.visible-xs{display:none!important}.visible-lg-block,.visible-lg-inline,.visible-lg-inline-block,.visible-md-block,.visible-md-inline,.visible-md-inline-block,.visible-sm-block,.visible-sm-inline,.visible-sm-inline-block,.visible-xs-block,.visible-xs-inline,.visible-xs-inline-block{display:none!important}@media (max-width:767px){.visible-xs{display:block!important}table.visible-xs{display:table!important}tr.visible-xs{display:table-row!important}td.visible-xs,th.visible-xs{display:table-cell!important}}@media (max-width:767px){.visible-xs-block{display:block!important}}@media (max-width:767px){.visible-xs-inline{display:inline!important}}@media (max-width:767px){.visible-xs-inline-block{display:inline-block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm{display:block!important}table.visible-sm{display:table!important}tr.visible-sm{display:table-row!important}td.visible-sm,th.visible-sm{display:table-cell!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-block{display:block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline{display:inline!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline-block{display:inline-block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md{display:block!important}table.visible-md{display:table!important}tr.visible-md{display:table-row!important}td.visible-md,th.visible-md{display:table-cell!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-block{display:block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline{display:inline!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline-block{display:inline-block!important}}@media (min-width:1200px){.visible-lg{display:block!important}table.visible-lg{display:table!important}tr.visible-lg{display:table-row!important}td.visible-lg,th.visible-lg{display:table-cell!important}}@media (min-width:1200px){.visible-lg-block{display:block!important}}@media (min-width:1200px){.visible-lg-inline{display:inline!important}}@media (min-width:1200px){.visible-lg-inline-block{display:inline-block!important}}@media (max-width:767px){.hidden-xs{display:none!important}}@media (min-width:768px) and (max-width:991px){.hidden-sm{display:none!important}}@media (min-width:992px) and (max-width:1199px){.hidden-md{display:none!important}}@media (min-width:1200px){.hidden-lg{display:none!important}}.visible-print{display:none!important}@media print{.visible-print{display:block!important}table.visible-print{display:table!important}tr.visible-print{display:table-row!important}td.visible-print,th.visible-print{display:table-cell!important}}.visible-print-block{display:none!important}@media print{.visible-print-block{display:block!important}}.visible-print-inline{display:none!important}@media print{.visible-print-inline{display:inline!important}}.visible-print-inline-block{display:none!important}@media print{.visible-print-inline-block{display:inline-block!important}}@media print{.hidden-print{display:none!important}}
@@ -363,7 +360,7 @@ pre code {
 
 <h1 class="title toc-ignore">Example evaluation of FOCUS Example Dataset D</h1>
 <h4 class="author">Johannes Ranke</h4>
-<h4 class="date">Last change 31 January 2019 (rebuilt 2021-07-23)</h4>
+<h4 class="date">Last change 31 January 2019 (rebuilt 2021-11-17)</h4>
 
 </div>
 
@@ -438,9 +435,9 @@ print(FOCUS_2006_D)</code></pre>
 <p>A comprehensive report of the results is obtained using the <code>summary</code> method for <code>mkinfit</code> objects.</p>
 <pre class="r"><code>summary(fit)</code></pre>
 <pre><code>## mkin version used for fitting:    1.1.0 
-## R version used for fitting:       4.1.0 
-## Date of fit:     Fri Jul 23 15:39:43 2021 
-## Date of summary: Fri Jul 23 15:39:43 2021 
+## R version used for fitting:       4.1.2 
+## Date of fit:     Wed Nov 17 12:15:48 2021 
+## Date of summary: Wed Nov 17 12:15:49 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
@@ -448,7 +445,7 @@ print(FOCUS_2006_D)</code></pre>
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 401 model solutions performed in 0.152 s
+## Fitted using 401 model solutions performed in 0.149 s
 ## 
 ## Error model: Constant variance 
 ## 
diff --git a/vignettes/FOCUS_L.html b/vignettes/FOCUS_L.html
index 77b64659..96a823cf 100644
--- a/vignettes/FOCUS_L.html
+++ b/vignettes/FOCUS_L.html
@@ -27,11 +27,8 @@ document.addEventListener('DOMContentLoaded', function(e) {
   }
 });
 </script>
-<script>/*! jQuery v1.11.3 | (c) 2005, 2015 jQuery Foundation, Inc. | jquery.org/license */
-!function(a,b){"object"==typeof module&&"object"==typeof module.exports?module.exports=a.document?b(a,!0):function(a){if(!a.document)throw new Error("jQuery requires a window with a document");return b(a)}:b(a)}("undefined"!=typeof window?window:this,function(a,b){var c=[],d=c.slice,e=c.concat,f=c.push,g=c.indexOf,h={},i=h.toString,j=h.hasOwnProperty,k={},l="1.11.3",m=function(a,b){return new m.fn.init(a,b)},n=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g,o=/^-ms-/,p=/-([\da-z])/gi,q=function(a,b){return b.toUpperCase()};m.fn=m.prototype={jquery:l,constructor:m,selector:"",length:0,toArray:function(){return d.call(this)},get:function(a){return null!=a?0>a?this[a+this.length]:this[a]:d.call(this)},pushStack:function(a){var b=m.merge(this.constructor(),a);return b.prevObject=this,b.context=this.context,b},each:function(a,b){return m.each(this,a,b)},map:function(a){return this.pushStack(m.map(this,function(b,c){return a.call(b,c,b)}))},slice:function(){return this.pushStack(d.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},eq:function(a){var b=this.length,c=+a+(0>a?b:0);return this.pushStack(c>=0&&b>c?[this[c]]:[])},end:function(){return this.prevObject||this.constructor(null)},push:f,sort:c.sort,splice:c.splice},m.extend=m.fn.extend=function(){var a,b,c,d,e,f,g=arguments[0]||{},h=1,i=arguments.length,j=!1;for("boolean"==typeof g&&(j=g,g=arguments[h]||{},h++),"object"==typeof g||m.isFunction(g)||(g={}),h===i&&(g=this,h--);i>h;h++)if(null!=(e=arguments[h]))for(d in e)a=g[d],c=e[d],g!==c&&(j&&c&&(m.isPlainObject(c)||(b=m.isArray(c)))?(b?(b=!1,f=a&&m.isArray(a)?a:[]):f=a&&m.isPlainObject(a)?a:{},g[d]=m.extend(j,f,c)):void 0!==c&&(g[d]=c));return g},m.extend({expando:"jQuery"+(l+Math.random()).replace(/\D/g,""),isReady:!0,error:function(a){throw new Error(a)},noop:function(){},isFunction:function(a){return"function"===m.type(a)},isArray:Array.isArray||function(a){return"array"===m.type(a)},isWindow:function(a){return null!=a&&a==a.window},isNumeric:function(a){return!m.isArray(a)&&a-parseFloat(a)+1>=0},isEmptyObject:function(a){var b;for(b in a)return!1;return!0},isPlainObject:function(a){var b;if(!a||"object"!==m.type(a)||a.nodeType||m.isWindow(a))return!1;try{if(a.constructor&&!j.call(a,"constructor")&&!j.call(a.constructor.prototype,"isPrototypeOf"))return!1}catch(c){return!1}if(k.ownLast)for(b in a)return j.call(a,b);for(b in a);return void 0===b||j.call(a,b)},type:function(a){return null==a?a+"":"object"==typeof a||"function"==typeof a?h[i.call(a)]||"object":typeof a},globalEval:function(b){b&&m.trim(b)&&(a.execScript||function(b){a.eval.call(a,b)})(b)},camelCase:function(a){return a.replace(o,"ms-").replace(p,q)},nodeName:function(a,b){return a.nodeName&&a.nodeName.toLowerCase()===b.toLowerCase()},each:function(a,b,c){var d,e=0,f=a.length,g=r(a);if(c){if(g){for(;f>e;e++)if(d=b.apply(a[e],c),d===!1)break}else for(e in a)if(d=b.apply(a[e],c),d===!1)break}else if(g){for(;f>e;e++)if(d=b.call(a[e],e,a[e]),d===!1)break}else for(e in a)if(d=b.call(a[e],e,a[e]),d===!1)break;return a},trim:function(a){return null==a?"":(a+"").replace(n,"")},makeArray:function(a,b){var c=b||[];return null!=a&&(r(Object(a))?m.merge(c,"string"==typeof a?[a]:a):f.call(c,a)),c},inArray:function(a,b,c){var d;if(b){if(g)return g.call(b,a,c);for(d=b.length,c=c?0>c?Math.max(0,d+c):c:0;d>c;c++)if(c in b&&b[c]===a)return c}return-1},merge:function(a,b){var c=+b.length,d=0,e=a.length;while(c>d)a[e++]=b[d++];if(c!==c)while(void 0!==b[d])a[e++]=b[d++];return a.length=e,a},grep:function(a,b,c){for(var d,e=[],f=0,g=a.length,h=!c;g>f;f++)d=!b(a[f],f),d!==h&&e.push(a[f]);return e},map:function(a,b,c){var d,f=0,g=a.length,h=r(a),i=[];if(h)for(;g>f;f++)d=b(a[f],f,c),null!=d&&i.push(d);else for(f in a)d=b(a[f],f,c),null!=d&&i.push(d);return e.apply([],i)},guid:1,proxy:function(a,b){var c,e,f;return"string"==typeof b&&(f=a[b],b=a,a=f),m.isFunction(a)?(c=d.call(arguments,2),e=function(){return a.apply(b||this,c.concat(d.call(arguments)))},e.guid=a.guid=a.guid||m.guid++,e):void 0},now:function(){return+new Date},support:k}),m.each("Boolean Number String Function Array Date RegExp Object Error".split(" "),function(a,b){h["[object "+b+"]"]=b.toLowerCase()});function r(a){var b="length"in a&&a.length,c=m.type(a);return"function"===c||m.isWindow(a)?!1:1===a.nodeType&&b?!0:"array"===c||0===b||"number"==typeof b&&b>0&&b-1 in a}var s=function(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u="sizzle"+1*new Date,v=a.document,w=0,x=0,y=ha(),z=ha(),A=ha(),B=function(a,b){return a===b&&(l=!0),0},C=1<<31,D={}.hasOwnProperty,E=[],F=E.pop,G=E.push,H=E.push,I=E.slice,J=function(a,b){for(var c=0,d=a.length;d>c;c++)if(a[c]===b)return c;return-1},K="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",L="[\\x20\\t\\r\\n\\f]",M="(?:\\\\.|[\\w-]|[^\\x00-\\xa0])+",N=M.replace("w","w#"),O="\\["+L+"*("+M+")(?:"+L+"*([*^$|!~]?=)"+L+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+N+"))|)"+L+"*\\]",P=":("+M+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+O+")*)|.*)\\)|)",Q=new RegExp(L+"+","g"),R=new RegExp("^"+L+"+|((?:^|[^\\\\])(?:\\\\.)*)"+L+"+$","g"),S=new RegExp("^"+L+"*,"+L+"*"),T=new RegExp("^"+L+"*([>+~]|"+L+")"+L+"*"),U=new RegExp("="+L+"*([^\\]'\"]*?)"+L+"*\\]","g"),V=new RegExp(P),W=new RegExp("^"+N+"$"),X={ID:new RegExp("^#("+M+")"),CLASS:new RegExp("^\\.("+M+")"),TAG:new RegExp("^("+M.replace("w","w*")+")"),ATTR:new RegExp("^"+O),PSEUDO:new RegExp("^"+P),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+L+"*(even|odd|(([+-]|)(\\d*)n|)"+L+"*(?:([+-]|)"+L+"*(\\d+)|))"+L+"*\\)|)","i"),bool:new RegExp("^(?:"+K+")$","i"),needsContext:new RegExp("^"+L+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+L+"*((?:-\\d)?\\d*)"+L+"*\\)|)(?=[^-]|$)","i")},Y=/^(?:input|select|textarea|button)$/i,Z=/^h\d$/i,$=/^[^{]+\{\s*\[native \w/,_=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,aa=/[+~]/,ba=/'|\\/g,ca=new RegExp("\\\\([\\da-f]{1,6}"+L+"?|("+L+")|.)","ig"),da=function(a,b,c){var d="0x"+b-65536;return d!==d||c?b:0>d?String.fromCharCode(d+65536):String.fromCharCode(d>>10|55296,1023&d|56320)},ea=function(){m()};try{H.apply(E=I.call(v.childNodes),v.childNodes),E[v.childNodes.length].nodeType}catch(fa){H={apply:E.length?function(a,b){G.apply(a,I.call(b))}:function(a,b){var c=a.length,d=0;while(a[c++]=b[d++]);a.length=c-1}}}function ga(a,b,d,e){var f,h,j,k,l,o,r,s,w,x;if((b?b.ownerDocument||b:v)!==n&&m(b),b=b||n,d=d||[],k=b.nodeType,"string"!=typeof a||!a||1!==k&&9!==k&&11!==k)return d;if(!e&&p){if(11!==k&&(f=_.exec(a)))if(j=f[1]){if(9===k){if(h=b.getElementById(j),!h||!h.parentNode)return d;if(h.id===j)return d.push(h),d}else if(b.ownerDocument&&(h=b.ownerDocument.getElementById(j))&&t(b,h)&&h.id===j)return d.push(h),d}else{if(f[2])return H.apply(d,b.getElementsByTagName(a)),d;if((j=f[3])&&c.getElementsByClassName)return H.apply(d,b.getElementsByClassName(j)),d}if(c.qsa&&(!q||!q.test(a))){if(s=r=u,w=b,x=1!==k&&a,1===k&&"object"!==b.nodeName.toLowerCase()){o=g(a),(r=b.getAttribute("id"))?s=r.replace(ba,"\\$&"):b.setAttribute("id",s),s="[id='"+s+"'] ",l=o.length;while(l--)o[l]=s+ra(o[l]);w=aa.test(a)&&pa(b.parentNode)||b,x=o.join(",")}if(x)try{return H.apply(d,w.querySelectorAll(x)),d}catch(y){}finally{r||b.removeAttribute("id")}}}return i(a.replace(R,"$1"),b,d,e)}function ha(){var a=[];function b(c,e){return a.push(c+" ")>d.cacheLength&&delete b[a.shift()],b[c+" "]=e}return b}function ia(a){return a[u]=!0,a}function ja(a){var b=n.createElement("div");try{return!!a(b)}catch(c){return!1}finally{b.parentNode&&b.parentNode.removeChild(b),b=null}}function ka(a,b){var c=a.split("|"),e=a.length;while(e--)d.attrHandle[c[e]]=b}function la(a,b){var c=b&&a,d=c&&1===a.nodeType&&1===b.nodeType&&(~b.sourceIndex||C)-(~a.sourceIndex||C);if(d)return d;if(c)while(c=c.nextSibling)if(c===b)return-1;return a?1:-1}function ma(a){return function(b){var c=b.nodeName.toLowerCase();return"input"===c&&b.type===a}}function na(a){return function(b){var c=b.nodeName.toLowerCase();return("input"===c||"button"===c)&&b.type===a}}function oa(a){return ia(function(b){return b=+b,ia(function(c,d){var e,f=a([],c.length,b),g=f.length;while(g--)c[e=f[g]]&&(c[e]=!(d[e]=c[e]))})})}function pa(a){return a&&"undefined"!=typeof a.getElementsByTagName&&a}c=ga.support={},f=ga.isXML=function(a){var b=a&&(a.ownerDocument||a).documentElement;return b?"HTML"!==b.nodeName:!1},m=ga.setDocument=function(a){var b,e,g=a?a.ownerDocument||a:v;return g!==n&&9===g.nodeType&&g.documentElement?(n=g,o=g.documentElement,e=g.defaultView,e&&e!==e.top&&(e.addEventListener?e.addEventListener("unload",ea,!1):e.attachEvent&&e.attachEvent("onunload",ea)),p=!f(g),c.attributes=ja(function(a){return a.className="i",!a.getAttribute("className")}),c.getElementsByTagName=ja(function(a){return a.appendChild(g.createComment("")),!a.getElementsByTagName("*").length}),c.getElementsByClassName=$.test(g.getElementsByClassName),c.getById=ja(function(a){return o.appendChild(a).id=u,!g.getElementsByName||!g.getElementsByName(u).length}),c.getById?(d.find.ID=function(a,b){if("undefined"!=typeof b.getElementById&&p){var c=b.getElementById(a);return c&&c.parentNode?[c]:[]}},d.filter.ID=function(a){var b=a.replace(ca,da);return function(a){return a.getAttribute("id")===b}}):(delete d.find.ID,d.filter.ID=function(a){var b=a.replace(ca,da);return function(a){var c="undefined"!=typeof a.getAttributeNode&&a.getAttributeNode("id");return c&&c.value===b}}),d.find.TAG=c.getElementsByTagName?function(a,b){return"undefined"!=typeof b.getElementsByTagName?b.getElementsByTagName(a):c.qsa?b.querySelectorAll(a):void 0}:function(a,b){var c,d=[],e=0,f=b.getElementsByTagName(a);if("*"===a){while(c=f[e++])1===c.nodeType&&d.push(c);return d}return f},d.find.CLASS=c.getElementsByClassName&&function(a,b){return p?b.getElementsByClassName(a):void 0},r=[],q=[],(c.qsa=$.test(g.querySelectorAll))&&(ja(function(a){o.appendChild(a).innerHTML="<a id='"+u+"'></a><select id='"+u+"-\f]' msallowcapture=''><option selected=''></option></select>",a.querySelectorAll("[msallowcapture^='']").length&&q.push("[*^$]="+L+"*(?:''|\"\")"),a.querySelectorAll("[selected]").length||q.push("\\["+L+"*(?:value|"+K+")"),a.querySelectorAll("[id~="+u+"-]").length||q.push("~="),a.querySelectorAll(":checked").length||q.push(":checked"),a.querySelectorAll("a#"+u+"+*").length||q.push(".#.+[+~]")}),ja(function(a){var b=g.createElement("input");b.setAttribute("type","hidden"),a.appendChild(b).setAttribute("name","D"),a.querySelectorAll("[name=d]").length&&q.push("name"+L+"*[*^$|!~]?="),a.querySelectorAll(":enabled").length||q.push(":enabled",":disabled"),a.querySelectorAll("*,:x"),q.push(",.*:")})),(c.matchesSelector=$.test(s=o.matches||o.webkitMatchesSelector||o.mozMatchesSelector||o.oMatchesSelector||o.msMatchesSelector))&&ja(function(a){c.disconnectedMatch=s.call(a,"div"),s.call(a,"[s!='']:x"),r.push("!=",P)}),q=q.length&&new RegExp(q.join("|")),r=r.length&&new RegExp(r.join("|")),b=$.test(o.compareDocumentPosition),t=b||$.test(o.contains)?function(a,b){var c=9===a.nodeType?a.documentElement:a,d=b&&b.parentNode;return a===d||!(!d||1!==d.nodeType||!(c.contains?c.contains(d):a.compareDocumentPosition&&16&a.compareDocumentPosition(d)))}:function(a,b){if(b)while(b=b.parentNode)if(b===a)return!0;return!1},B=b?function(a,b){if(a===b)return l=!0,0;var d=!a.compareDocumentPosition-!b.compareDocumentPosition;return d?d:(d=(a.ownerDocument||a)===(b.ownerDocument||b)?a.compareDocumentPosition(b):1,1&d||!c.sortDetached&&b.compareDocumentPosition(a)===d?a===g||a.ownerDocument===v&&t(v,a)?-1:b===g||b.ownerDocument===v&&t(v,b)?1:k?J(k,a)-J(k,b):0:4&d?-1:1)}:function(a,b){if(a===b)return l=!0,0;var c,d=0,e=a.parentNode,f=b.parentNode,h=[a],i=[b];if(!e||!f)return a===g?-1:b===g?1:e?-1:f?1:k?J(k,a)-J(k,b):0;if(e===f)return la(a,b);c=a;while(c=c.parentNode)h.unshift(c);c=b;while(c=c.parentNode)i.unshift(c);while(h[d]===i[d])d++;return d?la(h[d],i[d]):h[d]===v?-1:i[d]===v?1:0},g):n},ga.matches=function(a,b){return ga(a,null,null,b)},ga.matchesSelector=function(a,b){if((a.ownerDocument||a)!==n&&m(a),b=b.replace(U,"='$1']"),!(!c.matchesSelector||!p||r&&r.test(b)||q&&q.test(b)))try{var d=s.call(a,b);if(d||c.disconnectedMatch||a.document&&11!==a.document.nodeType)return d}catch(e){}return ga(b,n,null,[a]).length>0},ga.contains=function(a,b){return(a.ownerDocument||a)!==n&&m(a),t(a,b)},ga.attr=function(a,b){(a.ownerDocument||a)!==n&&m(a);var e=d.attrHandle[b.toLowerCase()],f=e&&D.call(d.attrHandle,b.toLowerCase())?e(a,b,!p):void 0;return void 0!==f?f:c.attributes||!p?a.getAttribute(b):(f=a.getAttributeNode(b))&&f.specified?f.value:null},ga.error=function(a){throw new Error("Syntax error, unrecognized expression: "+a)},ga.uniqueSort=function(a){var b,d=[],e=0,f=0;if(l=!c.detectDuplicates,k=!c.sortStable&&a.slice(0),a.sort(B),l){while(b=a[f++])b===a[f]&&(e=d.push(f));while(e--)a.splice(d[e],1)}return k=null,a},e=ga.getText=function(a){var b,c="",d=0,f=a.nodeType;if(f){if(1===f||9===f||11===f){if("string"==typeof a.textContent)return a.textContent;for(a=a.firstChild;a;a=a.nextSibling)c+=e(a)}else if(3===f||4===f)return a.nodeValue}else while(b=a[d++])c+=e(b);return c},d=ga.selectors={cacheLength:50,createPseudo:ia,match:X,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(a){return a[1]=a[1].replace(ca,da),a[3]=(a[3]||a[4]||a[5]||"").replace(ca,da),"~="===a[2]&&(a[3]=" "+a[3]+" "),a.slice(0,4)},CHILD:function(a){return a[1]=a[1].toLowerCase(),"nth"===a[1].slice(0,3)?(a[3]||ga.error(a[0]),a[4]=+(a[4]?a[5]+(a[6]||1):2*("even"===a[3]||"odd"===a[3])),a[5]=+(a[7]+a[8]||"odd"===a[3])):a[3]&&ga.error(a[0]),a},PSEUDO:function(a){var b,c=!a[6]&&a[2];return X.CHILD.test(a[0])?null:(a[3]?a[2]=a[4]||a[5]||"":c&&V.test(c)&&(b=g(c,!0))&&(b=c.indexOf(")",c.length-b)-c.length)&&(a[0]=a[0].slice(0,b),a[2]=c.slice(0,b)),a.slice(0,3))}},filter:{TAG:function(a){var b=a.replace(ca,da).toLowerCase();return"*"===a?function(){return!0}:function(a){return a.nodeName&&a.nodeName.toLowerCase()===b}},CLASS:function(a){var b=y[a+" "];return b||(b=new RegExp("(^|"+L+")"+a+"("+L+"|$)"))&&y(a,function(a){return b.test("string"==typeof a.className&&a.className||"undefined"!=typeof a.getAttribute&&a.getAttribute("class")||"")})},ATTR:function(a,b,c){return function(d){var e=ga.attr(d,a);return null==e?"!="===b:b?(e+="","="===b?e===c:"!="===b?e!==c:"^="===b?c&&0===e.indexOf(c):"*="===b?c&&e.indexOf(c)>-1:"$="===b?c&&e.slice(-c.length)===c:"~="===b?(" "+e.replace(Q," ")+" ").indexOf(c)>-1:"|="===b?e===c||e.slice(0,c.length+1)===c+"-":!1):!0}},CHILD:function(a,b,c,d,e){var f="nth"!==a.slice(0,3),g="last"!==a.slice(-4),h="of-type"===b;return 1===d&&0===e?function(a){return!!a.parentNode}:function(b,c,i){var j,k,l,m,n,o,p=f!==g?"nextSibling":"previousSibling",q=b.parentNode,r=h&&b.nodeName.toLowerCase(),s=!i&&!h;if(q){if(f){while(p){l=b;while(l=l[p])if(h?l.nodeName.toLowerCase()===r:1===l.nodeType)return!1;o=p="only"===a&&!o&&"nextSibling"}return!0}if(o=[g?q.firstChild:q.lastChild],g&&s){k=q[u]||(q[u]={}),j=k[a]||[],n=j[0]===w&&j[1],m=j[0]===w&&j[2],l=n&&q.childNodes[n];while(l=++n&&l&&l[p]||(m=n=0)||o.pop())if(1===l.nodeType&&++m&&l===b){k[a]=[w,n,m];break}}else if(s&&(j=(b[u]||(b[u]={}))[a])&&j[0]===w)m=j[1];else while(l=++n&&l&&l[p]||(m=n=0)||o.pop())if((h?l.nodeName.toLowerCase()===r:1===l.nodeType)&&++m&&(s&&((l[u]||(l[u]={}))[a]=[w,m]),l===b))break;return m-=e,m===d||m%d===0&&m/d>=0}}},PSEUDO:function(a,b){var c,e=d.pseudos[a]||d.setFilters[a.toLowerCase()]||ga.error("unsupported pseudo: "+a);return e[u]?e(b):e.length>1?(c=[a,a,"",b],d.setFilters.hasOwnProperty(a.toLowerCase())?ia(function(a,c){var d,f=e(a,b),g=f.length;while(g--)d=J(a,f[g]),a[d]=!(c[d]=f[g])}):function(a){return e(a,0,c)}):e}},pseudos:{not:ia(function(a){var b=[],c=[],d=h(a.replace(R,"$1"));return d[u]?ia(function(a,b,c,e){var f,g=d(a,null,e,[]),h=a.length;while(h--)(f=g[h])&&(a[h]=!(b[h]=f))}):function(a,e,f){return b[0]=a,d(b,null,f,c),b[0]=null,!c.pop()}}),has:ia(function(a){return function(b){return ga(a,b).length>0}}),contains:ia(function(a){return a=a.replace(ca,da),function(b){return(b.textContent||b.innerText||e(b)).indexOf(a)>-1}}),lang:ia(function(a){return W.test(a||"")||ga.error("unsupported lang: "+a),a=a.replace(ca,da).toLowerCase(),function(b){var c;do if(c=p?b.lang:b.getAttribute("xml:lang")||b.getAttribute("lang"))return c=c.toLowerCase(),c===a||0===c.indexOf(a+"-");while((b=b.parentNode)&&1===b.nodeType);return!1}}),target:function(b){var c=a.location&&a.location.hash;return c&&c.slice(1)===b.id},root:function(a){return a===o},focus:function(a){return a===n.activeElement&&(!n.hasFocus||n.hasFocus())&&!!(a.type||a.href||~a.tabIndex)},enabled:function(a){return a.disabled===!1},disabled:function(a){return a.disabled===!0},checked:function(a){var b=a.nodeName.toLowerCase();return"input"===b&&!!a.checked||"option"===b&&!!a.selected},selected:function(a){return a.parentNode&&a.parentNode.selectedIndex,a.selected===!0},empty:function(a){for(a=a.firstChild;a;a=a.nextSibling)if(a.nodeType<6)return!1;return!0},parent:function(a){return!d.pseudos.empty(a)},header:function(a){return Z.test(a.nodeName)},input:function(a){return Y.test(a.nodeName)},button:function(a){var b=a.nodeName.toLowerCase();return"input"===b&&"button"===a.type||"button"===b},text:function(a){var b;return"input"===a.nodeName.toLowerCase()&&"text"===a.type&&(null==(b=a.getAttribute("type"))||"text"===b.toLowerCase())},first:oa(function(){return[0]}),last:oa(function(a,b){return[b-1]}),eq:oa(function(a,b,c){return[0>c?c+b:c]}),even:oa(function(a,b){for(var c=0;b>c;c+=2)a.push(c);return a}),odd:oa(function(a,b){for(var c=1;b>c;c+=2)a.push(c);return a}),lt:oa(function(a,b,c){for(var d=0>c?c+b:c;--d>=0;)a.push(d);return a}),gt:oa(function(a,b,c){for(var d=0>c?c+b:c;++d<b;)a.push(d);return a})}},d.pseudos.nth=d.pseudos.eq;for(b in{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})d.pseudos[b]=ma(b);for(b in{submit:!0,reset:!0})d.pseudos[b]=na(b);function qa(){}qa.prototype=d.filters=d.pseudos,d.setFilters=new qa,g=ga.tokenize=function(a,b){var c,e,f,g,h,i,j,k=z[a+" "];if(k)return b?0:k.slice(0);h=a,i=[],j=d.preFilter;while(h){(!c||(e=S.exec(h)))&&(e&&(h=h.slice(e[0].length)||h),i.push(f=[])),c=!1,(e=T.exec(h))&&(c=e.shift(),f.push({value:c,type:e[0].replace(R," ")}),h=h.slice(c.length));for(g in d.filter)!(e=X[g].exec(h))||j[g]&&!(e=j[g](e))||(c=e.shift(),f.push({value:c,type:g,matches:e}),h=h.slice(c.length));if(!c)break}return b?h.length:h?ga.error(a):z(a,i).slice(0)};function ra(a){for(var b=0,c=a.length,d="";c>b;b++)d+=a[b].value;return d}function sa(a,b,c){var d=b.dir,e=c&&"parentNode"===d,f=x++;return b.first?function(b,c,f){while(b=b[d])if(1===b.nodeType||e)return a(b,c,f)}:function(b,c,g){var h,i,j=[w,f];if(g){while(b=b[d])if((1===b.nodeType||e)&&a(b,c,g))return!0}else while(b=b[d])if(1===b.nodeType||e){if(i=b[u]||(b[u]={}),(h=i[d])&&h[0]===w&&h[1]===f)return j[2]=h[2];if(i[d]=j,j[2]=a(b,c,g))return!0}}}function ta(a){return a.length>1?function(b,c,d){var e=a.length;while(e--)if(!a[e](b,c,d))return!1;return!0}:a[0]}function ua(a,b,c){for(var d=0,e=b.length;e>d;d++)ga(a,b[d],c);return c}function va(a,b,c,d,e){for(var f,g=[],h=0,i=a.length,j=null!=b;i>h;h++)(f=a[h])&&(!c||c(f,d,e))&&(g.push(f),j&&b.push(h));return g}function wa(a,b,c,d,e,f){return d&&!d[u]&&(d=wa(d)),e&&!e[u]&&(e=wa(e,f)),ia(function(f,g,h,i){var j,k,l,m=[],n=[],o=g.length,p=f||ua(b||"*",h.nodeType?[h]:h,[]),q=!a||!f&&b?p:va(p,m,a,h,i),r=c?e||(f?a:o||d)?[]:g:q;if(c&&c(q,r,h,i),d){j=va(r,n),d(j,[],h,i),k=j.length;while(k--)(l=j[k])&&(r[n[k]]=!(q[n[k]]=l))}if(f){if(e||a){if(e){j=[],k=r.length;while(k--)(l=r[k])&&j.push(q[k]=l);e(null,r=[],j,i)}k=r.length;while(k--)(l=r[k])&&(j=e?J(f,l):m[k])>-1&&(f[j]=!(g[j]=l))}}else r=va(r===g?r.splice(o,r.length):r),e?e(null,g,r,i):H.apply(g,r)})}function xa(a){for(var b,c,e,f=a.length,g=d.relative[a[0].type],h=g||d.relative[" "],i=g?1:0,k=sa(function(a){return a===b},h,!0),l=sa(function(a){return J(b,a)>-1},h,!0),m=[function(a,c,d){var e=!g&&(d||c!==j)||((b=c).nodeType?k(a,c,d):l(a,c,d));return b=null,e}];f>i;i++)if(c=d.relative[a[i].type])m=[sa(ta(m),c)];else{if(c=d.filter[a[i].type].apply(null,a[i].matches),c[u]){for(e=++i;f>e;e++)if(d.relative[a[e].type])break;return wa(i>1&&ta(m),i>1&&ra(a.slice(0,i-1).concat({value:" "===a[i-2].type?"*":""})).replace(R,"$1"),c,e>i&&xa(a.slice(i,e)),f>e&&xa(a=a.slice(e)),f>e&&ra(a))}m.push(c)}return ta(m)}function ya(a,b){var c=b.length>0,e=a.length>0,f=function(f,g,h,i,k){var l,m,o,p=0,q="0",r=f&&[],s=[],t=j,u=f||e&&d.find.TAG("*",k),v=w+=null==t?1:Math.random()||.1,x=u.length;for(k&&(j=g!==n&&g);q!==x&&null!=(l=u[q]);q++){if(e&&l){m=0;while(o=a[m++])if(o(l,g,h)){i.push(l);break}k&&(w=v)}c&&((l=!o&&l)&&p--,f&&r.push(l))}if(p+=q,c&&q!==p){m=0;while(o=b[m++])o(r,s,g,h);if(f){if(p>0)while(q--)r[q]||s[q]||(s[q]=F.call(i));s=va(s)}H.apply(i,s),k&&!f&&s.length>0&&p+b.length>1&&ga.uniqueSort(i)}return k&&(w=v,j=t),r};return c?ia(f):f}return h=ga.compile=function(a,b){var c,d=[],e=[],f=A[a+" "];if(!f){b||(b=g(a)),c=b.length;while(c--)f=xa(b[c]),f[u]?d.push(f):e.push(f);f=A(a,ya(e,d)),f.selector=a}return f},i=ga.select=function(a,b,e,f){var i,j,k,l,m,n="function"==typeof a&&a,o=!f&&g(a=n.selector||a);if(e=e||[],1===o.length){if(j=o[0]=o[0].slice(0),j.length>2&&"ID"===(k=j[0]).type&&c.getById&&9===b.nodeType&&p&&d.relative[j[1].type]){if(b=(d.find.ID(k.matches[0].replace(ca,da),b)||[])[0],!b)return e;n&&(b=b.parentNode),a=a.slice(j.shift().value.length)}i=X.needsContext.test(a)?0:j.length;while(i--){if(k=j[i],d.relative[l=k.type])break;if((m=d.find[l])&&(f=m(k.matches[0].replace(ca,da),aa.test(j[0].type)&&pa(b.parentNode)||b))){if(j.splice(i,1),a=f.length&&ra(j),!a)return H.apply(e,f),e;break}}}return(n||h(a,o))(f,b,!p,e,aa.test(a)&&pa(b.parentNode)||b),e},c.sortStable=u.split("").sort(B).join("")===u,c.detectDuplicates=!!l,m(),c.sortDetached=ja(function(a){return 1&a.compareDocumentPosition(n.createElement("div"))}),ja(function(a){return a.innerHTML="<a href='#'></a>","#"===a.firstChild.getAttribute("href")})||ka("type|href|height|width",function(a,b,c){return c?void 0:a.getAttribute(b,"type"===b.toLowerCase()?1:2)}),c.attributes&&ja(function(a){return a.innerHTML="<input/>",a.firstChild.setAttribute("value",""),""===a.firstChild.getAttribute("value")})||ka("value",function(a,b,c){return c||"input"!==a.nodeName.toLowerCase()?void 0:a.defaultValue}),ja(function(a){return null==a.getAttribute("disabled")})||ka(K,function(a,b,c){var d;return c?void 0:a[b]===!0?b.toLowerCase():(d=a.getAttributeNode(b))&&d.specified?d.value:null}),ga}(a);m.find=s,m.expr=s.selectors,m.expr[":"]=m.expr.pseudos,m.unique=s.uniqueSort,m.text=s.getText,m.isXMLDoc=s.isXML,m.contains=s.contains;var t=m.expr.match.needsContext,u=/^<(\w+)\s*\/?>(?:<\/\1>|)$/,v=/^.[^:#\[\.,]*$/;function w(a,b,c){if(m.isFunction(b))return m.grep(a,function(a,d){return!!b.call(a,d,a)!==c});if(b.nodeType)return m.grep(a,function(a){return a===b!==c});if("string"==typeof b){if(v.test(b))return m.filter(b,a,c);b=m.filter(b,a)}return m.grep(a,function(a){return m.inArray(a,b)>=0!==c})}m.filter=function(a,b,c){var d=b[0];return c&&(a=":not("+a+")"),1===b.length&&1===d.nodeType?m.find.matchesSelector(d,a)?[d]:[]:m.find.matches(a,m.grep(b,function(a){return 1===a.nodeType}))},m.fn.extend({find:function(a){var b,c=[],d=this,e=d.length;if("string"!=typeof a)return this.pushStack(m(a).filter(function(){for(b=0;e>b;b++)if(m.contains(d[b],this))return!0}));for(b=0;e>b;b++)m.find(a,d[b],c);return c=this.pushStack(e>1?m.unique(c):c),c.selector=this.selector?this.selector+" "+a:a,c},filter:function(a){return this.pushStack(w(this,a||[],!1))},not:function(a){return this.pushStack(w(this,a||[],!0))},is:function(a){return!!w(this,"string"==typeof a&&t.test(a)?m(a):a||[],!1).length}});var x,y=a.document,z=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]*))$/,A=m.fn.init=function(a,b){var c,d;if(!a)return this;if("string"==typeof a){if(c="<"===a.charAt(0)&&">"===a.charAt(a.length-1)&&a.length>=3?[null,a,null]:z.exec(a),!c||!c[1]&&b)return!b||b.jquery?(b||x).find(a):this.constructor(b).find(a);if(c[1]){if(b=b instanceof m?b[0]:b,m.merge(this,m.parseHTML(c[1],b&&b.nodeType?b.ownerDocument||b:y,!0)),u.test(c[1])&&m.isPlainObject(b))for(c in b)m.isFunction(this[c])?this[c](b[c]):this.attr(c,b[c]);return this}if(d=y.getElementById(c[2]),d&&d.parentNode){if(d.id!==c[2])return x.find(a);this.length=1,this[0]=d}return this.context=y,this.selector=a,this}return a.nodeType?(this.context=this[0]=a,this.length=1,this):m.isFunction(a)?"undefined"!=typeof x.ready?x.ready(a):a(m):(void 0!==a.selector&&(this.selector=a.selector,this.context=a.context),m.makeArray(a,this))};A.prototype=m.fn,x=m(y);var B=/^(?:parents|prev(?:Until|All))/,C={children:!0,contents:!0,next:!0,prev:!0};m.extend({dir:function(a,b,c){var d=[],e=a[b];while(e&&9!==e.nodeType&&(void 0===c||1!==e.nodeType||!m(e).is(c)))1===e.nodeType&&d.push(e),e=e[b];return d},sibling:function(a,b){for(var c=[];a;a=a.nextSibling)1===a.nodeType&&a!==b&&c.push(a);return c}}),m.fn.extend({has:function(a){var b,c=m(a,this),d=c.length;return this.filter(function(){for(b=0;d>b;b++)if(m.contains(this,c[b]))return!0})},closest:function(a,b){for(var c,d=0,e=this.length,f=[],g=t.test(a)||"string"!=typeof a?m(a,b||this.context):0;e>d;d++)for(c=this[d];c&&c!==b;c=c.parentNode)if(c.nodeType<11&&(g?g.index(c)>-1:1===c.nodeType&&m.find.matchesSelector(c,a))){f.push(c);break}return this.pushStack(f.length>1?m.unique(f):f)},index:function(a){return a?"string"==typeof a?m.inArray(this[0],m(a)):m.inArray(a.jquery?a[0]:a,this):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(a,b){return this.pushStack(m.unique(m.merge(this.get(),m(a,b))))},addBack:function(a){return this.add(null==a?this.prevObject:this.prevObject.filter(a))}});function D(a,b){do a=a[b];while(a&&1!==a.nodeType);return a}m.each({parent:function(a){var b=a.parentNode;return b&&11!==b.nodeType?b:null},parents:function(a){return m.dir(a,"parentNode")},parentsUntil:function(a,b,c){return m.dir(a,"parentNode",c)},next:function(a){return D(a,"nextSibling")},prev:function(a){return D(a,"previousSibling")},nextAll:function(a){return m.dir(a,"nextSibling")},prevAll:function(a){return m.dir(a,"previousSibling")},nextUntil:function(a,b,c){return m.dir(a,"nextSibling",c)},prevUntil:function(a,b,c){return m.dir(a,"previousSibling",c)},siblings:function(a){return m.sibling((a.parentNode||{}).firstChild,a)},children:function(a){return m.sibling(a.firstChild)},contents:function(a){return m.nodeName(a,"iframe")?a.contentDocument||a.contentWindow.document:m.merge([],a.childNodes)}},function(a,b){m.fn[a]=function(c,d){var e=m.map(this,b,c);return"Until"!==a.slice(-5)&&(d=c),d&&"string"==typeof d&&(e=m.filter(d,e)),this.length>1&&(C[a]||(e=m.unique(e)),B.test(a)&&(e=e.reverse())),this.pushStack(e)}});var E=/\S+/g,F={};function G(a){var b=F[a]={};return m.each(a.match(E)||[],function(a,c){b[c]=!0}),b}m.Callbacks=function(a){a="string"==typeof a?F[a]||G(a):m.extend({},a);var b,c,d,e,f,g,h=[],i=!a.once&&[],j=function(l){for(c=a.memory&&l,d=!0,f=g||0,g=0,e=h.length,b=!0;h&&e>f;f++)if(h[f].apply(l[0],l[1])===!1&&a.stopOnFalse){c=!1;break}b=!1,h&&(i?i.length&&j(i.shift()):c?h=[]:k.disable())},k={add:function(){if(h){var d=h.length;!function f(b){m.each(b,function(b,c){var d=m.type(c);"function"===d?a.unique&&k.has(c)||h.push(c):c&&c.length&&"string"!==d&&f(c)})}(arguments),b?e=h.length:c&&(g=d,j(c))}return this},remove:function(){return h&&m.each(arguments,function(a,c){var d;while((d=m.inArray(c,h,d))>-1)h.splice(d,1),b&&(e>=d&&e--,f>=d&&f--)}),this},has:function(a){return a?m.inArray(a,h)>-1:!(!h||!h.length)},empty:function(){return h=[],e=0,this},disable:function(){return h=i=c=void 0,this},disabled:function(){return!h},lock:function(){return i=void 0,c||k.disable(),this},locked:function(){return!i},fireWith:function(a,c){return!h||d&&!i||(c=c||[],c=[a,c.slice?c.slice():c],b?i.push(c):j(c)),this},fire:function(){return k.fireWith(this,arguments),this},fired:function(){return!!d}};return k},m.extend({Deferred:function(a){var b=[["resolve","done",m.Callbacks("once memory"),"resolved"],["reject","fail",m.Callbacks("once memory"),"rejected"],["notify","progress",m.Callbacks("memory")]],c="pending",d={state:function(){return c},always:function(){return e.done(arguments).fail(arguments),this},then:function(){var a=arguments;return m.Deferred(function(c){m.each(b,function(b,f){var g=m.isFunction(a[b])&&a[b];e[f[1]](function(){var a=g&&g.apply(this,arguments);a&&m.isFunction(a.promise)?a.promise().done(c.resolve).fail(c.reject).progress(c.notify):c[f[0]+"With"](this===d?c.promise():this,g?[a]:arguments)})}),a=null}).promise()},promise:function(a){return null!=a?m.extend(a,d):d}},e={};return d.pipe=d.then,m.each(b,function(a,f){var g=f[2],h=f[3];d[f[1]]=g.add,h&&g.add(function(){c=h},b[1^a][2].disable,b[2][2].lock),e[f[0]]=function(){return e[f[0]+"With"](this===e?d:this,arguments),this},e[f[0]+"With"]=g.fireWith}),d.promise(e),a&&a.call(e,e),e},when:function(a){var b=0,c=d.call(arguments),e=c.length,f=1!==e||a&&m.isFunction(a.promise)?e:0,g=1===f?a:m.Deferred(),h=function(a,b,c){return function(e){b[a]=this,c[a]=arguments.length>1?d.call(arguments):e,c===i?g.notifyWith(b,c):--f||g.resolveWith(b,c)}},i,j,k;if(e>1)for(i=new Array(e),j=new Array(e),k=new Array(e);e>b;b++)c[b]&&m.isFunction(c[b].promise)?c[b].promise().done(h(b,k,c)).fail(g.reject).progress(h(b,j,i)):--f;return f||g.resolveWith(k,c),g.promise()}});var H;m.fn.ready=function(a){return m.ready.promise().done(a),this},m.extend({isReady:!1,readyWait:1,holdReady:function(a){a?m.readyWait++:m.ready(!0)},ready:function(a){if(a===!0?!--m.readyWait:!m.isReady){if(!y.body)return setTimeout(m.ready);m.isReady=!0,a!==!0&&--m.readyWait>0||(H.resolveWith(y,[m]),m.fn.triggerHandler&&(m(y).triggerHandler("ready"),m(y).off("ready")))}}});function I(){y.addEventListener?(y.removeEventListener("DOMContentLoaded",J,!1),a.removeEventListener("load",J,!1)):(y.detachEvent("onreadystatechange",J),a.detachEvent("onload",J))}function J(){(y.addEventListener||"load"===event.type||"complete"===y.readyState)&&(I(),m.ready())}m.ready.promise=function(b){if(!H)if(H=m.Deferred(),"complete"===y.readyState)setTimeout(m.ready);else if(y.addEventListener)y.addEventListener("DOMContentLoaded",J,!1),a.addEventListener("load",J,!1);else{y.attachEvent("onreadystatechange",J),a.attachEvent("onload",J);var c=!1;try{c=null==a.frameElement&&y.documentElement}catch(d){}c&&c.doScroll&&!function e(){if(!m.isReady){try{c.doScroll("left")}catch(a){return setTimeout(e,50)}I(),m.ready()}}()}return H.promise(b)};var K="undefined",L;for(L in m(k))break;k.ownLast="0"!==L,k.inlineBlockNeedsLayout=!1,m(function(){var a,b,c,d;c=y.getElementsByTagName("body")[0],c&&c.style&&(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),typeof b.style.zoom!==K&&(b.style.cssText="display:inline;margin:0;border:0;padding:1px;width:1px;zoom:1",k.inlineBlockNeedsLayout=a=3===b.offsetWidth,a&&(c.style.zoom=1)),c.removeChild(d))}),function(){var a=y.createElement("div");if(null==k.deleteExpando){k.deleteExpando=!0;try{delete a.test}catch(b){k.deleteExpando=!1}}a=null}(),m.acceptData=function(a){var b=m.noData[(a.nodeName+" ").toLowerCase()],c=+a.nodeType||1;return 1!==c&&9!==c?!1:!b||b!==!0&&a.getAttribute("classid")===b};var M=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,N=/([A-Z])/g;function O(a,b,c){if(void 0===c&&1===a.nodeType){var d="data-"+b.replace(N,"-$1").toLowerCase();if(c=a.getAttribute(d),"string"==typeof c){try{c="true"===c?!0:"false"===c?!1:"null"===c?null:+c+""===c?+c:M.test(c)?m.parseJSON(c):c}catch(e){}m.data(a,b,c)}else c=void 0}return c}function P(a){var b;for(b in a)if(("data"!==b||!m.isEmptyObject(a[b]))&&"toJSON"!==b)return!1;
-
-return!0}function Q(a,b,d,e){if(m.acceptData(a)){var f,g,h=m.expando,i=a.nodeType,j=i?m.cache:a,k=i?a[h]:a[h]&&h;if(k&&j[k]&&(e||j[k].data)||void 0!==d||"string"!=typeof b)return k||(k=i?a[h]=c.pop()||m.guid++:h),j[k]||(j[k]=i?{}:{toJSON:m.noop}),("object"==typeof b||"function"==typeof b)&&(e?j[k]=m.extend(j[k],b):j[k].data=m.extend(j[k].data,b)),g=j[k],e||(g.data||(g.data={}),g=g.data),void 0!==d&&(g[m.camelCase(b)]=d),"string"==typeof b?(f=g[b],null==f&&(f=g[m.camelCase(b)])):f=g,f}}function R(a,b,c){if(m.acceptData(a)){var d,e,f=a.nodeType,g=f?m.cache:a,h=f?a[m.expando]:m.expando;if(g[h]){if(b&&(d=c?g[h]:g[h].data)){m.isArray(b)?b=b.concat(m.map(b,m.camelCase)):b in d?b=[b]:(b=m.camelCase(b),b=b in d?[b]:b.split(" ")),e=b.length;while(e--)delete d[b[e]];if(c?!P(d):!m.isEmptyObject(d))return}(c||(delete g[h].data,P(g[h])))&&(f?m.cleanData([a],!0):k.deleteExpando||g!=g.window?delete g[h]:g[h]=null)}}}m.extend({cache:{},noData:{"applet ":!0,"embed ":!0,"object ":"clsid:D27CDB6E-AE6D-11cf-96B8-444553540000"},hasData:function(a){return a=a.nodeType?m.cache[a[m.expando]]:a[m.expando],!!a&&!P(a)},data:function(a,b,c){return Q(a,b,c)},removeData:function(a,b){return R(a,b)},_data:function(a,b,c){return Q(a,b,c,!0)},_removeData:function(a,b){return R(a,b,!0)}}),m.fn.extend({data:function(a,b){var c,d,e,f=this[0],g=f&&f.attributes;if(void 0===a){if(this.length&&(e=m.data(f),1===f.nodeType&&!m._data(f,"parsedAttrs"))){c=g.length;while(c--)g[c]&&(d=g[c].name,0===d.indexOf("data-")&&(d=m.camelCase(d.slice(5)),O(f,d,e[d])));m._data(f,"parsedAttrs",!0)}return e}return"object"==typeof a?this.each(function(){m.data(this,a)}):arguments.length>1?this.each(function(){m.data(this,a,b)}):f?O(f,a,m.data(f,a)):void 0},removeData:function(a){return this.each(function(){m.removeData(this,a)})}}),m.extend({queue:function(a,b,c){var d;return a?(b=(b||"fx")+"queue",d=m._data(a,b),c&&(!d||m.isArray(c)?d=m._data(a,b,m.makeArray(c)):d.push(c)),d||[]):void 0},dequeue:function(a,b){b=b||"fx";var c=m.queue(a,b),d=c.length,e=c.shift(),f=m._queueHooks(a,b),g=function(){m.dequeue(a,b)};"inprogress"===e&&(e=c.shift(),d--),e&&("fx"===b&&c.unshift("inprogress"),delete f.stop,e.call(a,g,f)),!d&&f&&f.empty.fire()},_queueHooks:function(a,b){var c=b+"queueHooks";return m._data(a,c)||m._data(a,c,{empty:m.Callbacks("once memory").add(function(){m._removeData(a,b+"queue"),m._removeData(a,c)})})}}),m.fn.extend({queue:function(a,b){var c=2;return"string"!=typeof a&&(b=a,a="fx",c--),arguments.length<c?m.queue(this[0],a):void 0===b?this:this.each(function(){var c=m.queue(this,a,b);m._queueHooks(this,a),"fx"===a&&"inprogress"!==c[0]&&m.dequeue(this,a)})},dequeue:function(a){return this.each(function(){m.dequeue(this,a)})},clearQueue:function(a){return this.queue(a||"fx",[])},promise:function(a,b){var c,d=1,e=m.Deferred(),f=this,g=this.length,h=function(){--d||e.resolveWith(f,[f])};"string"!=typeof a&&(b=a,a=void 0),a=a||"fx";while(g--)c=m._data(f[g],a+"queueHooks"),c&&c.empty&&(d++,c.empty.add(h));return h(),e.promise(b)}});var S=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,T=["Top","Right","Bottom","Left"],U=function(a,b){return a=b||a,"none"===m.css(a,"display")||!m.contains(a.ownerDocument,a)},V=m.access=function(a,b,c,d,e,f,g){var h=0,i=a.length,j=null==c;if("object"===m.type(c)){e=!0;for(h in c)m.access(a,b,h,c[h],!0,f,g)}else if(void 0!==d&&(e=!0,m.isFunction(d)||(g=!0),j&&(g?(b.call(a,d),b=null):(j=b,b=function(a,b,c){return j.call(m(a),c)})),b))for(;i>h;h++)b(a[h],c,g?d:d.call(a[h],h,b(a[h],c)));return e?a:j?b.call(a):i?b(a[0],c):f},W=/^(?:checkbox|radio)$/i;!function(){var a=y.createElement("input"),b=y.createElement("div"),c=y.createDocumentFragment();if(b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",k.leadingWhitespace=3===b.firstChild.nodeType,k.tbody=!b.getElementsByTagName("tbody").length,k.htmlSerialize=!!b.getElementsByTagName("link").length,k.html5Clone="<:nav></:nav>"!==y.createElement("nav").cloneNode(!0).outerHTML,a.type="checkbox",a.checked=!0,c.appendChild(a),k.appendChecked=a.checked,b.innerHTML="<textarea>x</textarea>",k.noCloneChecked=!!b.cloneNode(!0).lastChild.defaultValue,c.appendChild(b),b.innerHTML="<input type='radio' checked='checked' name='t'/>",k.checkClone=b.cloneNode(!0).cloneNode(!0).lastChild.checked,k.noCloneEvent=!0,b.attachEvent&&(b.attachEvent("onclick",function(){k.noCloneEvent=!1}),b.cloneNode(!0).click()),null==k.deleteExpando){k.deleteExpando=!0;try{delete b.test}catch(d){k.deleteExpando=!1}}}(),function(){var b,c,d=y.createElement("div");for(b in{submit:!0,change:!0,focusin:!0})c="on"+b,(k[b+"Bubbles"]=c in a)||(d.setAttribute(c,"t"),k[b+"Bubbles"]=d.attributes[c].expando===!1);d=null}();var X=/^(?:input|select|textarea)$/i,Y=/^key/,Z=/^(?:mouse|pointer|contextmenu)|click/,$=/^(?:focusinfocus|focusoutblur)$/,_=/^([^.]*)(?:\.(.+)|)$/;function aa(){return!0}function ba(){return!1}function ca(){try{return y.activeElement}catch(a){}}m.event={global:{},add:function(a,b,c,d,e){var f,g,h,i,j,k,l,n,o,p,q,r=m._data(a);if(r){c.handler&&(i=c,c=i.handler,e=i.selector),c.guid||(c.guid=m.guid++),(g=r.events)||(g=r.events={}),(k=r.handle)||(k=r.handle=function(a){return typeof m===K||a&&m.event.triggered===a.type?void 0:m.event.dispatch.apply(k.elem,arguments)},k.elem=a),b=(b||"").match(E)||[""],h=b.length;while(h--)f=_.exec(b[h])||[],o=q=f[1],p=(f[2]||"").split(".").sort(),o&&(j=m.event.special[o]||{},o=(e?j.delegateType:j.bindType)||o,j=m.event.special[o]||{},l=m.extend({type:o,origType:q,data:d,handler:c,guid:c.guid,selector:e,needsContext:e&&m.expr.match.needsContext.test(e),namespace:p.join(".")},i),(n=g[o])||(n=g[o]=[],n.delegateCount=0,j.setup&&j.setup.call(a,d,p,k)!==!1||(a.addEventListener?a.addEventListener(o,k,!1):a.attachEvent&&a.attachEvent("on"+o,k))),j.add&&(j.add.call(a,l),l.handler.guid||(l.handler.guid=c.guid)),e?n.splice(n.delegateCount++,0,l):n.push(l),m.event.global[o]=!0);a=null}},remove:function(a,b,c,d,e){var f,g,h,i,j,k,l,n,o,p,q,r=m.hasData(a)&&m._data(a);if(r&&(k=r.events)){b=(b||"").match(E)||[""],j=b.length;while(j--)if(h=_.exec(b[j])||[],o=q=h[1],p=(h[2]||"").split(".").sort(),o){l=m.event.special[o]||{},o=(d?l.delegateType:l.bindType)||o,n=k[o]||[],h=h[2]&&new RegExp("(^|\\.)"+p.join("\\.(?:.*\\.|)")+"(\\.|$)"),i=f=n.length;while(f--)g=n[f],!e&&q!==g.origType||c&&c.guid!==g.guid||h&&!h.test(g.namespace)||d&&d!==g.selector&&("**"!==d||!g.selector)||(n.splice(f,1),g.selector&&n.delegateCount--,l.remove&&l.remove.call(a,g));i&&!n.length&&(l.teardown&&l.teardown.call(a,p,r.handle)!==!1||m.removeEvent(a,o,r.handle),delete k[o])}else for(o in k)m.event.remove(a,o+b[j],c,d,!0);m.isEmptyObject(k)&&(delete r.handle,m._removeData(a,"events"))}},trigger:function(b,c,d,e){var f,g,h,i,k,l,n,o=[d||y],p=j.call(b,"type")?b.type:b,q=j.call(b,"namespace")?b.namespace.split("."):[];if(h=l=d=d||y,3!==d.nodeType&&8!==d.nodeType&&!$.test(p+m.event.triggered)&&(p.indexOf(".")>=0&&(q=p.split("."),p=q.shift(),q.sort()),g=p.indexOf(":")<0&&"on"+p,b=b[m.expando]?b:new m.Event(p,"object"==typeof b&&b),b.isTrigger=e?2:3,b.namespace=q.join("."),b.namespace_re=b.namespace?new RegExp("(^|\\.)"+q.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,b.result=void 0,b.target||(b.target=d),c=null==c?[b]:m.makeArray(c,[b]),k=m.event.special[p]||{},e||!k.trigger||k.trigger.apply(d,c)!==!1)){if(!e&&!k.noBubble&&!m.isWindow(d)){for(i=k.delegateType||p,$.test(i+p)||(h=h.parentNode);h;h=h.parentNode)o.push(h),l=h;l===(d.ownerDocument||y)&&o.push(l.defaultView||l.parentWindow||a)}n=0;while((h=o[n++])&&!b.isPropagationStopped())b.type=n>1?i:k.bindType||p,f=(m._data(h,"events")||{})[b.type]&&m._data(h,"handle"),f&&f.apply(h,c),f=g&&h[g],f&&f.apply&&m.acceptData(h)&&(b.result=f.apply(h,c),b.result===!1&&b.preventDefault());if(b.type=p,!e&&!b.isDefaultPrevented()&&(!k._default||k._default.apply(o.pop(),c)===!1)&&m.acceptData(d)&&g&&d[p]&&!m.isWindow(d)){l=d[g],l&&(d[g]=null),m.event.triggered=p;try{d[p]()}catch(r){}m.event.triggered=void 0,l&&(d[g]=l)}return b.result}},dispatch:function(a){a=m.event.fix(a);var b,c,e,f,g,h=[],i=d.call(arguments),j=(m._data(this,"events")||{})[a.type]||[],k=m.event.special[a.type]||{};if(i[0]=a,a.delegateTarget=this,!k.preDispatch||k.preDispatch.call(this,a)!==!1){h=m.event.handlers.call(this,a,j),b=0;while((f=h[b++])&&!a.isPropagationStopped()){a.currentTarget=f.elem,g=0;while((e=f.handlers[g++])&&!a.isImmediatePropagationStopped())(!a.namespace_re||a.namespace_re.test(e.namespace))&&(a.handleObj=e,a.data=e.data,c=((m.event.special[e.origType]||{}).handle||e.handler).apply(f.elem,i),void 0!==c&&(a.result=c)===!1&&(a.preventDefault(),a.stopPropagation()))}return k.postDispatch&&k.postDispatch.call(this,a),a.result}},handlers:function(a,b){var c,d,e,f,g=[],h=b.delegateCount,i=a.target;if(h&&i.nodeType&&(!a.button||"click"!==a.type))for(;i!=this;i=i.parentNode||this)if(1===i.nodeType&&(i.disabled!==!0||"click"!==a.type)){for(e=[],f=0;h>f;f++)d=b[f],c=d.selector+" ",void 0===e[c]&&(e[c]=d.needsContext?m(c,this).index(i)>=0:m.find(c,this,null,[i]).length),e[c]&&e.push(d);e.length&&g.push({elem:i,handlers:e})}return h<b.length&&g.push({elem:this,handlers:b.slice(h)}),g},fix:function(a){if(a[m.expando])return a;var b,c,d,e=a.type,f=a,g=this.fixHooks[e];g||(this.fixHooks[e]=g=Z.test(e)?this.mouseHooks:Y.test(e)?this.keyHooks:{}),d=g.props?this.props.concat(g.props):this.props,a=new m.Event(f),b=d.length;while(b--)c=d[b],a[c]=f[c];return a.target||(a.target=f.srcElement||y),3===a.target.nodeType&&(a.target=a.target.parentNode),a.metaKey=!!a.metaKey,g.filter?g.filter(a,f):a},props:"altKey bubbles cancelable ctrlKey currentTarget eventPhase metaKey relatedTarget shiftKey target timeStamp view which".split(" "),fixHooks:{},keyHooks:{props:"char charCode key keyCode".split(" "),filter:function(a,b){return null==a.which&&(a.which=null!=b.charCode?b.charCode:b.keyCode),a}},mouseHooks:{props:"button buttons clientX clientY fromElement offsetX offsetY pageX pageY screenX screenY toElement".split(" "),filter:function(a,b){var c,d,e,f=b.button,g=b.fromElement;return null==a.pageX&&null!=b.clientX&&(d=a.target.ownerDocument||y,e=d.documentElement,c=d.body,a.pageX=b.clientX+(e&&e.scrollLeft||c&&c.scrollLeft||0)-(e&&e.clientLeft||c&&c.clientLeft||0),a.pageY=b.clientY+(e&&e.scrollTop||c&&c.scrollTop||0)-(e&&e.clientTop||c&&c.clientTop||0)),!a.relatedTarget&&g&&(a.relatedTarget=g===a.target?b.toElement:g),a.which||void 0===f||(a.which=1&f?1:2&f?3:4&f?2:0),a}},special:{load:{noBubble:!0},focus:{trigger:function(){if(this!==ca()&&this.focus)try{return this.focus(),!1}catch(a){}},delegateType:"focusin"},blur:{trigger:function(){return this===ca()&&this.blur?(this.blur(),!1):void 0},delegateType:"focusout"},click:{trigger:function(){return m.nodeName(this,"input")&&"checkbox"===this.type&&this.click?(this.click(),!1):void 0},_default:function(a){return m.nodeName(a.target,"a")}},beforeunload:{postDispatch:function(a){void 0!==a.result&&a.originalEvent&&(a.originalEvent.returnValue=a.result)}}},simulate:function(a,b,c,d){var e=m.extend(new m.Event,c,{type:a,isSimulated:!0,originalEvent:{}});d?m.event.trigger(e,null,b):m.event.dispatch.call(b,e),e.isDefaultPrevented()&&c.preventDefault()}},m.removeEvent=y.removeEventListener?function(a,b,c){a.removeEventListener&&a.removeEventListener(b,c,!1)}:function(a,b,c){var d="on"+b;a.detachEvent&&(typeof a[d]===K&&(a[d]=null),a.detachEvent(d,c))},m.Event=function(a,b){return this instanceof m.Event?(a&&a.type?(this.originalEvent=a,this.type=a.type,this.isDefaultPrevented=a.defaultPrevented||void 0===a.defaultPrevented&&a.returnValue===!1?aa:ba):this.type=a,b&&m.extend(this,b),this.timeStamp=a&&a.timeStamp||m.now(),void(this[m.expando]=!0)):new m.Event(a,b)},m.Event.prototype={isDefaultPrevented:ba,isPropagationStopped:ba,isImmediatePropagationStopped:ba,preventDefault:function(){var a=this.originalEvent;this.isDefaultPrevented=aa,a&&(a.preventDefault?a.preventDefault():a.returnValue=!1)},stopPropagation:function(){var a=this.originalEvent;this.isPropagationStopped=aa,a&&(a.stopPropagation&&a.stopPropagation(),a.cancelBubble=!0)},stopImmediatePropagation:function(){var a=this.originalEvent;this.isImmediatePropagationStopped=aa,a&&a.stopImmediatePropagation&&a.stopImmediatePropagation(),this.stopPropagation()}},m.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(a,b){m.event.special[a]={delegateType:b,bindType:b,handle:function(a){var c,d=this,e=a.relatedTarget,f=a.handleObj;return(!e||e!==d&&!m.contains(d,e))&&(a.type=f.origType,c=f.handler.apply(this,arguments),a.type=b),c}}}),k.submitBubbles||(m.event.special.submit={setup:function(){return m.nodeName(this,"form")?!1:void m.event.add(this,"click._submit keypress._submit",function(a){var b=a.target,c=m.nodeName(b,"input")||m.nodeName(b,"button")?b.form:void 0;c&&!m._data(c,"submitBubbles")&&(m.event.add(c,"submit._submit",function(a){a._submit_bubble=!0}),m._data(c,"submitBubbles",!0))})},postDispatch:function(a){a._submit_bubble&&(delete a._submit_bubble,this.parentNode&&!a.isTrigger&&m.event.simulate("submit",this.parentNode,a,!0))},teardown:function(){return m.nodeName(this,"form")?!1:void m.event.remove(this,"._submit")}}),k.changeBubbles||(m.event.special.change={setup:function(){return X.test(this.nodeName)?(("checkbox"===this.type||"radio"===this.type)&&(m.event.add(this,"propertychange._change",function(a){"checked"===a.originalEvent.propertyName&&(this._just_changed=!0)}),m.event.add(this,"click._change",function(a){this._just_changed&&!a.isTrigger&&(this._just_changed=!1),m.event.simulate("change",this,a,!0)})),!1):void m.event.add(this,"beforeactivate._change",function(a){var b=a.target;X.test(b.nodeName)&&!m._data(b,"changeBubbles")&&(m.event.add(b,"change._change",function(a){!this.parentNode||a.isSimulated||a.isTrigger||m.event.simulate("change",this.parentNode,a,!0)}),m._data(b,"changeBubbles",!0))})},handle:function(a){var b=a.target;return this!==b||a.isSimulated||a.isTrigger||"radio"!==b.type&&"checkbox"!==b.type?a.handleObj.handler.apply(this,arguments):void 0},teardown:function(){return m.event.remove(this,"._change"),!X.test(this.nodeName)}}),k.focusinBubbles||m.each({focus:"focusin",blur:"focusout"},function(a,b){var c=function(a){m.event.simulate(b,a.target,m.event.fix(a),!0)};m.event.special[b]={setup:function(){var d=this.ownerDocument||this,e=m._data(d,b);e||d.addEventListener(a,c,!0),m._data(d,b,(e||0)+1)},teardown:function(){var d=this.ownerDocument||this,e=m._data(d,b)-1;e?m._data(d,b,e):(d.removeEventListener(a,c,!0),m._removeData(d,b))}}}),m.fn.extend({on:function(a,b,c,d,e){var f,g;if("object"==typeof a){"string"!=typeof b&&(c=c||b,b=void 0);for(f in a)this.on(f,b,c,a[f],e);return this}if(null==c&&null==d?(d=b,c=b=void 0):null==d&&("string"==typeof b?(d=c,c=void 0):(d=c,c=b,b=void 0)),d===!1)d=ba;else if(!d)return this;return 1===e&&(g=d,d=function(a){return m().off(a),g.apply(this,arguments)},d.guid=g.guid||(g.guid=m.guid++)),this.each(function(){m.event.add(this,a,d,c,b)})},one:function(a,b,c,d){return this.on(a,b,c,d,1)},off:function(a,b,c){var d,e;if(a&&a.preventDefault&&a.handleObj)return d=a.handleObj,m(a.delegateTarget).off(d.namespace?d.origType+"."+d.namespace:d.origType,d.selector,d.handler),this;if("object"==typeof a){for(e in a)this.off(e,b,a[e]);return this}return(b===!1||"function"==typeof b)&&(c=b,b=void 0),c===!1&&(c=ba),this.each(function(){m.event.remove(this,a,c,b)})},trigger:function(a,b){return this.each(function(){m.event.trigger(a,b,this)})},triggerHandler:function(a,b){var c=this[0];return c?m.event.trigger(a,b,c,!0):void 0}});function da(a){var b=ea.split("|"),c=a.createDocumentFragment();if(c.createElement)while(b.length)c.createElement(b.pop());return c}var ea="abbr|article|aside|audio|bdi|canvas|data|datalist|details|figcaption|figure|footer|header|hgroup|mark|meter|nav|output|progress|section|summary|time|video",fa=/ jQuery\d+="(?:null|\d+)"/g,ga=new RegExp("<(?:"+ea+")[\\s/>]","i"),ha=/^\s+/,ia=/<(?!area|br|col|embed|hr|img|input|link|meta|param)(([\w:]+)[^>]*)\/>/gi,ja=/<([\w:]+)/,ka=/<tbody/i,la=/<|&#?\w+;/,ma=/<(?:script|style|link)/i,na=/checked\s*(?:[^=]|=\s*.checked.)/i,oa=/^$|\/(?:java|ecma)script/i,pa=/^true\/(.*)/,qa=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g,ra={option:[1,"<select multiple='multiple'>","</select>"],legend:[1,"<fieldset>","</fieldset>"],area:[1,"<map>","</map>"],param:[1,"<object>","</object>"],thead:[1,"<table>","</table>"],tr:[2,"<table><tbody>","</tbody></table>"],col:[2,"<table><tbody></tbody><colgroup>","</colgroup></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:k.htmlSerialize?[0,"",""]:[1,"X<div>","</div>"]},sa=da(y),ta=sa.appendChild(y.createElement("div"));ra.optgroup=ra.option,ra.tbody=ra.tfoot=ra.colgroup=ra.caption=ra.thead,ra.th=ra.td;function ua(a,b){var c,d,e=0,f=typeof a.getElementsByTagName!==K?a.getElementsByTagName(b||"*"):typeof a.querySelectorAll!==K?a.querySelectorAll(b||"*"):void 0;if(!f)for(f=[],c=a.childNodes||a;null!=(d=c[e]);e++)!b||m.nodeName(d,b)?f.push(d):m.merge(f,ua(d,b));return void 0===b||b&&m.nodeName(a,b)?m.merge([a],f):f}function va(a){W.test(a.type)&&(a.defaultChecked=a.checked)}function wa(a,b){return m.nodeName(a,"table")&&m.nodeName(11!==b.nodeType?b:b.firstChild,"tr")?a.getElementsByTagName("tbody")[0]||a.appendChild(a.ownerDocument.createElement("tbody")):a}function xa(a){return a.type=(null!==m.find.attr(a,"type"))+"/"+a.type,a}function ya(a){var b=pa.exec(a.type);return b?a.type=b[1]:a.removeAttribute("type"),a}function za(a,b){for(var c,d=0;null!=(c=a[d]);d++)m._data(c,"globalEval",!b||m._data(b[d],"globalEval"))}function Aa(a,b){if(1===b.nodeType&&m.hasData(a)){var c,d,e,f=m._data(a),g=m._data(b,f),h=f.events;if(h){delete g.handle,g.events={};for(c in h)for(d=0,e=h[c].length;e>d;d++)m.event.add(b,c,h[c][d])}g.data&&(g.data=m.extend({},g.data))}}function Ba(a,b){var c,d,e;if(1===b.nodeType){if(c=b.nodeName.toLowerCase(),!k.noCloneEvent&&b[m.expando]){e=m._data(b);for(d in e.events)m.removeEvent(b,d,e.handle);b.removeAttribute(m.expando)}"script"===c&&b.text!==a.text?(xa(b).text=a.text,ya(b)):"object"===c?(b.parentNode&&(b.outerHTML=a.outerHTML),k.html5Clone&&a.innerHTML&&!m.trim(b.innerHTML)&&(b.innerHTML=a.innerHTML)):"input"===c&&W.test(a.type)?(b.defaultChecked=b.checked=a.checked,b.value!==a.value&&(b.value=a.value)):"option"===c?b.defaultSelected=b.selected=a.defaultSelected:("input"===c||"textarea"===c)&&(b.defaultValue=a.defaultValue)}}m.extend({clone:function(a,b,c){var d,e,f,g,h,i=m.contains(a.ownerDocument,a);if(k.html5Clone||m.isXMLDoc(a)||!ga.test("<"+a.nodeName+">")?f=a.cloneNode(!0):(ta.innerHTML=a.outerHTML,ta.removeChild(f=ta.firstChild)),!(k.noCloneEvent&&k.noCloneChecked||1!==a.nodeType&&11!==a.nodeType||m.isXMLDoc(a)))for(d=ua(f),h=ua(a),g=0;null!=(e=h[g]);++g)d[g]&&Ba(e,d[g]);if(b)if(c)for(h=h||ua(a),d=d||ua(f),g=0;null!=(e=h[g]);g++)Aa(e,d[g]);else Aa(a,f);return d=ua(f,"script"),d.length>0&&za(d,!i&&ua(a,"script")),d=h=e=null,f},buildFragment:function(a,b,c,d){for(var e,f,g,h,i,j,l,n=a.length,o=da(b),p=[],q=0;n>q;q++)if(f=a[q],f||0===f)if("object"===m.type(f))m.merge(p,f.nodeType?[f]:f);else if(la.test(f)){h=h||o.appendChild(b.createElement("div")),i=(ja.exec(f)||["",""])[1].toLowerCase(),l=ra[i]||ra._default,h.innerHTML=l[1]+f.replace(ia,"<$1></$2>")+l[2],e=l[0];while(e--)h=h.lastChild;if(!k.leadingWhitespace&&ha.test(f)&&p.push(b.createTextNode(ha.exec(f)[0])),!k.tbody){f="table"!==i||ka.test(f)?"<table>"!==l[1]||ka.test(f)?0:h:h.firstChild,e=f&&f.childNodes.length;while(e--)m.nodeName(j=f.childNodes[e],"tbody")&&!j.childNodes.length&&f.removeChild(j)}m.merge(p,h.childNodes),h.textContent="";while(h.firstChild)h.removeChild(h.firstChild);h=o.lastChild}else p.push(b.createTextNode(f));h&&o.removeChild(h),k.appendChecked||m.grep(ua(p,"input"),va),q=0;while(f=p[q++])if((!d||-1===m.inArray(f,d))&&(g=m.contains(f.ownerDocument,f),h=ua(o.appendChild(f),"script"),g&&za(h),c)){e=0;while(f=h[e++])oa.test(f.type||"")&&c.push(f)}return h=null,o},cleanData:function(a,b){for(var d,e,f,g,h=0,i=m.expando,j=m.cache,l=k.deleteExpando,n=m.event.special;null!=(d=a[h]);h++)if((b||m.acceptData(d))&&(f=d[i],g=f&&j[f])){if(g.events)for(e in g.events)n[e]?m.event.remove(d,e):m.removeEvent(d,e,g.handle);j[f]&&(delete j[f],l?delete d[i]:typeof d.removeAttribute!==K?d.removeAttribute(i):d[i]=null,c.push(f))}}}),m.fn.extend({text:function(a){return V(this,function(a){return void 0===a?m.text(this):this.empty().append((this[0]&&this[0].ownerDocument||y).createTextNode(a))},null,a,arguments.length)},append:function(){return this.domManip(arguments,function(a){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var b=wa(this,a);b.appendChild(a)}})},prepend:function(){return this.domManip(arguments,function(a){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var b=wa(this,a);b.insertBefore(a,b.firstChild)}})},before:function(){return this.domManip(arguments,function(a){this.parentNode&&this.parentNode.insertBefore(a,this)})},after:function(){return this.domManip(arguments,function(a){this.parentNode&&this.parentNode.insertBefore(a,this.nextSibling)})},remove:function(a,b){for(var c,d=a?m.filter(a,this):this,e=0;null!=(c=d[e]);e++)b||1!==c.nodeType||m.cleanData(ua(c)),c.parentNode&&(b&&m.contains(c.ownerDocument,c)&&za(ua(c,"script")),c.parentNode.removeChild(c));return this},empty:function(){for(var a,b=0;null!=(a=this[b]);b++){1===a.nodeType&&m.cleanData(ua(a,!1));while(a.firstChild)a.removeChild(a.firstChild);a.options&&m.nodeName(a,"select")&&(a.options.length=0)}return this},clone:function(a,b){return a=null==a?!1:a,b=null==b?a:b,this.map(function(){return m.clone(this,a,b)})},html:function(a){return V(this,function(a){var b=this[0]||{},c=0,d=this.length;if(void 0===a)return 1===b.nodeType?b.innerHTML.replace(fa,""):void 0;if(!("string"!=typeof a||ma.test(a)||!k.htmlSerialize&&ga.test(a)||!k.leadingWhitespace&&ha.test(a)||ra[(ja.exec(a)||["",""])[1].toLowerCase()])){a=a.replace(ia,"<$1></$2>");try{for(;d>c;c++)b=this[c]||{},1===b.nodeType&&(m.cleanData(ua(b,!1)),b.innerHTML=a);b=0}catch(e){}}b&&this.empty().append(a)},null,a,arguments.length)},replaceWith:function(){var a=arguments[0];return this.domManip(arguments,function(b){a=this.parentNode,m.cleanData(ua(this)),a&&a.replaceChild(b,this)}),a&&(a.length||a.nodeType)?this:this.remove()},detach:function(a){return this.remove(a,!0)},domManip:function(a,b){a=e.apply([],a);var c,d,f,g,h,i,j=0,l=this.length,n=this,o=l-1,p=a[0],q=m.isFunction(p);if(q||l>1&&"string"==typeof p&&!k.checkClone&&na.test(p))return this.each(function(c){var d=n.eq(c);q&&(a[0]=p.call(this,c,d.html())),d.domManip(a,b)});if(l&&(i=m.buildFragment(a,this[0].ownerDocument,!1,this),c=i.firstChild,1===i.childNodes.length&&(i=c),c)){for(g=m.map(ua(i,"script"),xa),f=g.length;l>j;j++)d=i,j!==o&&(d=m.clone(d,!0,!0),f&&m.merge(g,ua(d,"script"))),b.call(this[j],d,j);if(f)for(h=g[g.length-1].ownerDocument,m.map(g,ya),j=0;f>j;j++)d=g[j],oa.test(d.type||"")&&!m._data(d,"globalEval")&&m.contains(h,d)&&(d.src?m._evalUrl&&m._evalUrl(d.src):m.globalEval((d.text||d.textContent||d.innerHTML||"").replace(qa,"")));i=c=null}return this}}),m.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(a,b){m.fn[a]=function(a){for(var c,d=0,e=[],g=m(a),h=g.length-1;h>=d;d++)c=d===h?this:this.clone(!0),m(g[d])[b](c),f.apply(e,c.get());return this.pushStack(e)}});var Ca,Da={};function Ea(b,c){var d,e=m(c.createElement(b)).appendTo(c.body),f=a.getDefaultComputedStyle&&(d=a.getDefaultComputedStyle(e[0]))?d.display:m.css(e[0],"display");return e.detach(),f}function Fa(a){var b=y,c=Da[a];return c||(c=Ea(a,b),"none"!==c&&c||(Ca=(Ca||m("<iframe frameborder='0' width='0' height='0'/>")).appendTo(b.documentElement),b=(Ca[0].contentWindow||Ca[0].contentDocument).document,b.write(),b.close(),c=Ea(a,b),Ca.detach()),Da[a]=c),c}!function(){var a;k.shrinkWrapBlocks=function(){if(null!=a)return a;a=!1;var b,c,d;return c=y.getElementsByTagName("body")[0],c&&c.style?(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),typeof b.style.zoom!==K&&(b.style.cssText="-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;display:block;margin:0;border:0;padding:1px;width:1px;zoom:1",b.appendChild(y.createElement("div")).style.width="5px",a=3!==b.offsetWidth),c.removeChild(d),a):void 0}}();var Ga=/^margin/,Ha=new RegExp("^("+S+")(?!px)[a-z%]+$","i"),Ia,Ja,Ka=/^(top|right|bottom|left)$/;a.getComputedStyle?(Ia=function(b){return b.ownerDocument.defaultView.opener?b.ownerDocument.defaultView.getComputedStyle(b,null):a.getComputedStyle(b,null)},Ja=function(a,b,c){var d,e,f,g,h=a.style;return c=c||Ia(a),g=c?c.getPropertyValue(b)||c[b]:void 0,c&&(""!==g||m.contains(a.ownerDocument,a)||(g=m.style(a,b)),Ha.test(g)&&Ga.test(b)&&(d=h.width,e=h.minWidth,f=h.maxWidth,h.minWidth=h.maxWidth=h.width=g,g=c.width,h.width=d,h.minWidth=e,h.maxWidth=f)),void 0===g?g:g+""}):y.documentElement.currentStyle&&(Ia=function(a){return a.currentStyle},Ja=function(a,b,c){var d,e,f,g,h=a.style;return c=c||Ia(a),g=c?c[b]:void 0,null==g&&h&&h[b]&&(g=h[b]),Ha.test(g)&&!Ka.test(b)&&(d=h.left,e=a.runtimeStyle,f=e&&e.left,f&&(e.left=a.currentStyle.left),h.left="fontSize"===b?"1em":g,g=h.pixelLeft+"px",h.left=d,f&&(e.left=f)),void 0===g?g:g+""||"auto"});function La(a,b){return{get:function(){var c=a();if(null!=c)return c?void delete this.get:(this.get=b).apply(this,arguments)}}}!function(){var b,c,d,e,f,g,h;if(b=y.createElement("div"),b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",d=b.getElementsByTagName("a")[0],c=d&&d.style){c.cssText="float:left;opacity:.5",k.opacity="0.5"===c.opacity,k.cssFloat=!!c.cssFloat,b.style.backgroundClip="content-box",b.cloneNode(!0).style.backgroundClip="",k.clearCloneStyle="content-box"===b.style.backgroundClip,k.boxSizing=""===c.boxSizing||""===c.MozBoxSizing||""===c.WebkitBoxSizing,m.extend(k,{reliableHiddenOffsets:function(){return null==g&&i(),g},boxSizingReliable:function(){return null==f&&i(),f},pixelPosition:function(){return null==e&&i(),e},reliableMarginRight:function(){return null==h&&i(),h}});function i(){var b,c,d,i;c=y.getElementsByTagName("body")[0],c&&c.style&&(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),b.style.cssText="-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;display:block;margin-top:1%;top:1%;border:1px;padding:1px;width:4px;position:absolute",e=f=!1,h=!0,a.getComputedStyle&&(e="1%"!==(a.getComputedStyle(b,null)||{}).top,f="4px"===(a.getComputedStyle(b,null)||{width:"4px"}).width,i=b.appendChild(y.createElement("div")),i.style.cssText=b.style.cssText="-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;display:block;margin:0;border:0;padding:0",i.style.marginRight=i.style.width="0",b.style.width="1px",h=!parseFloat((a.getComputedStyle(i,null)||{}).marginRight),b.removeChild(i)),b.innerHTML="<table><tr><td></td><td>t</td></tr></table>",i=b.getElementsByTagName("td"),i[0].style.cssText="margin:0;border:0;padding:0;display:none",g=0===i[0].offsetHeight,g&&(i[0].style.display="",i[1].style.display="none",g=0===i[0].offsetHeight),c.removeChild(d))}}}(),m.swap=function(a,b,c,d){var e,f,g={};for(f in b)g[f]=a.style[f],a.style[f]=b[f];e=c.apply(a,d||[]);for(f in b)a.style[f]=g[f];return e};var Ma=/alpha\([^)]*\)/i,Na=/opacity\s*=\s*([^)]*)/,Oa=/^(none|table(?!-c[ea]).+)/,Pa=new RegExp("^("+S+")(.*)$","i"),Qa=new RegExp("^([+-])=("+S+")","i"),Ra={position:"absolute",visibility:"hidden",display:"block"},Sa={letterSpacing:"0",fontWeight:"400"},Ta=["Webkit","O","Moz","ms"];function Ua(a,b){if(b in a)return b;var c=b.charAt(0).toUpperCase()+b.slice(1),d=b,e=Ta.length;while(e--)if(b=Ta[e]+c,b in a)return b;return d}function Va(a,b){for(var c,d,e,f=[],g=0,h=a.length;h>g;g++)d=a[g],d.style&&(f[g]=m._data(d,"olddisplay"),c=d.style.display,b?(f[g]||"none"!==c||(d.style.display=""),""===d.style.display&&U(d)&&(f[g]=m._data(d,"olddisplay",Fa(d.nodeName)))):(e=U(d),(c&&"none"!==c||!e)&&m._data(d,"olddisplay",e?c:m.css(d,"display"))));for(g=0;h>g;g++)d=a[g],d.style&&(b&&"none"!==d.style.display&&""!==d.style.display||(d.style.display=b?f[g]||"":"none"));return a}function Wa(a,b,c){var d=Pa.exec(b);return d?Math.max(0,d[1]-(c||0))+(d[2]||"px"):b}function Xa(a,b,c,d,e){for(var f=c===(d?"border":"content")?4:"width"===b?1:0,g=0;4>f;f+=2)"margin"===c&&(g+=m.css(a,c+T[f],!0,e)),d?("content"===c&&(g-=m.css(a,"padding"+T[f],!0,e)),"margin"!==c&&(g-=m.css(a,"border"+T[f]+"Width",!0,e))):(g+=m.css(a,"padding"+T[f],!0,e),"padding"!==c&&(g+=m.css(a,"border"+T[f]+"Width",!0,e)));return g}function Ya(a,b,c){var d=!0,e="width"===b?a.offsetWidth:a.offsetHeight,f=Ia(a),g=k.boxSizing&&"border-box"===m.css(a,"boxSizing",!1,f);if(0>=e||null==e){if(e=Ja(a,b,f),(0>e||null==e)&&(e=a.style[b]),Ha.test(e))return e;d=g&&(k.boxSizingReliable()||e===a.style[b]),e=parseFloat(e)||0}return e+Xa(a,b,c||(g?"border":"content"),d,f)+"px"}m.extend({cssHooks:{opacity:{get:function(a,b){if(b){var c=Ja(a,"opacity");return""===c?"1":c}}}},cssNumber:{columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{"float":k.cssFloat?"cssFloat":"styleFloat"},style:function(a,b,c,d){if(a&&3!==a.nodeType&&8!==a.nodeType&&a.style){var e,f,g,h=m.camelCase(b),i=a.style;if(b=m.cssProps[h]||(m.cssProps[h]=Ua(i,h)),g=m.cssHooks[b]||m.cssHooks[h],void 0===c)return g&&"get"in g&&void 0!==(e=g.get(a,!1,d))?e:i[b];if(f=typeof c,"string"===f&&(e=Qa.exec(c))&&(c=(e[1]+1)*e[2]+parseFloat(m.css(a,b)),f="number"),null!=c&&c===c&&("number"!==f||m.cssNumber[h]||(c+="px"),k.clearCloneStyle||""!==c||0!==b.indexOf("background")||(i[b]="inherit"),!(g&&"set"in g&&void 0===(c=g.set(a,c,d)))))try{i[b]=c}catch(j){}}},css:function(a,b,c,d){var e,f,g,h=m.camelCase(b);return b=m.cssProps[h]||(m.cssProps[h]=Ua(a.style,h)),g=m.cssHooks[b]||m.cssHooks[h],g&&"get"in g&&(f=g.get(a,!0,c)),void 0===f&&(f=Ja(a,b,d)),"normal"===f&&b in Sa&&(f=Sa[b]),""===c||c?(e=parseFloat(f),c===!0||m.isNumeric(e)?e||0:f):f}}),m.each(["height","width"],function(a,b){m.cssHooks[b]={get:function(a,c,d){return c?Oa.test(m.css(a,"display"))&&0===a.offsetWidth?m.swap(a,Ra,function(){return Ya(a,b,d)}):Ya(a,b,d):void 0},set:function(a,c,d){var e=d&&Ia(a);return Wa(a,c,d?Xa(a,b,d,k.boxSizing&&"border-box"===m.css(a,"boxSizing",!1,e),e):0)}}}),k.opacity||(m.cssHooks.opacity={get:function(a,b){return Na.test((b&&a.currentStyle?a.currentStyle.filter:a.style.filter)||"")?.01*parseFloat(RegExp.$1)+"":b?"1":""},set:function(a,b){var c=a.style,d=a.currentStyle,e=m.isNumeric(b)?"alpha(opacity="+100*b+")":"",f=d&&d.filter||c.filter||"";c.zoom=1,(b>=1||""===b)&&""===m.trim(f.replace(Ma,""))&&c.removeAttribute&&(c.removeAttribute("filter"),""===b||d&&!d.filter)||(c.filter=Ma.test(f)?f.replace(Ma,e):f+" "+e)}}),m.cssHooks.marginRight=La(k.reliableMarginRight,function(a,b){return b?m.swap(a,{display:"inline-block"},Ja,[a,"marginRight"]):void 0}),m.each({margin:"",padding:"",border:"Width"},function(a,b){m.cssHooks[a+b]={expand:function(c){for(var d=0,e={},f="string"==typeof c?c.split(" "):[c];4>d;d++)e[a+T[d]+b]=f[d]||f[d-2]||f[0];return e}},Ga.test(a)||(m.cssHooks[a+b].set=Wa)}),m.fn.extend({css:function(a,b){return V(this,function(a,b,c){var d,e,f={},g=0;if(m.isArray(b)){for(d=Ia(a),e=b.length;e>g;g++)f[b[g]]=m.css(a,b[g],!1,d);return f}return void 0!==c?m.style(a,b,c):m.css(a,b)},a,b,arguments.length>1)},show:function(){return Va(this,!0)},hide:function(){return Va(this)},toggle:function(a){return"boolean"==typeof a?a?this.show():this.hide():this.each(function(){U(this)?m(this).show():m(this).hide()})}});function Za(a,b,c,d,e){
-return new Za.prototype.init(a,b,c,d,e)}m.Tween=Za,Za.prototype={constructor:Za,init:function(a,b,c,d,e,f){this.elem=a,this.prop=c,this.easing=e||"swing",this.options=b,this.start=this.now=this.cur(),this.end=d,this.unit=f||(m.cssNumber[c]?"":"px")},cur:function(){var a=Za.propHooks[this.prop];return a&&a.get?a.get(this):Za.propHooks._default.get(this)},run:function(a){var b,c=Za.propHooks[this.prop];return this.options.duration?this.pos=b=m.easing[this.easing](a,this.options.duration*a,0,1,this.options.duration):this.pos=b=a,this.now=(this.end-this.start)*b+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),c&&c.set?c.set(this):Za.propHooks._default.set(this),this}},Za.prototype.init.prototype=Za.prototype,Za.propHooks={_default:{get:function(a){var b;return null==a.elem[a.prop]||a.elem.style&&null!=a.elem.style[a.prop]?(b=m.css(a.elem,a.prop,""),b&&"auto"!==b?b:0):a.elem[a.prop]},set:function(a){m.fx.step[a.prop]?m.fx.step[a.prop](a):a.elem.style&&(null!=a.elem.style[m.cssProps[a.prop]]||m.cssHooks[a.prop])?m.style(a.elem,a.prop,a.now+a.unit):a.elem[a.prop]=a.now}}},Za.propHooks.scrollTop=Za.propHooks.scrollLeft={set:function(a){a.elem.nodeType&&a.elem.parentNode&&(a.elem[a.prop]=a.now)}},m.easing={linear:function(a){return a},swing:function(a){return.5-Math.cos(a*Math.PI)/2}},m.fx=Za.prototype.init,m.fx.step={};var $a,_a,ab=/^(?:toggle|show|hide)$/,bb=new RegExp("^(?:([+-])=|)("+S+")([a-z%]*)$","i"),cb=/queueHooks$/,db=[ib],eb={"*":[function(a,b){var c=this.createTween(a,b),d=c.cur(),e=bb.exec(b),f=e&&e[3]||(m.cssNumber[a]?"":"px"),g=(m.cssNumber[a]||"px"!==f&&+d)&&bb.exec(m.css(c.elem,a)),h=1,i=20;if(g&&g[3]!==f){f=f||g[3],e=e||[],g=+d||1;do h=h||".5",g/=h,m.style(c.elem,a,g+f);while(h!==(h=c.cur()/d)&&1!==h&&--i)}return e&&(g=c.start=+g||+d||0,c.unit=f,c.end=e[1]?g+(e[1]+1)*e[2]:+e[2]),c}]};function fb(){return setTimeout(function(){$a=void 0}),$a=m.now()}function gb(a,b){var c,d={height:a},e=0;for(b=b?1:0;4>e;e+=2-b)c=T[e],d["margin"+c]=d["padding"+c]=a;return b&&(d.opacity=d.width=a),d}function hb(a,b,c){for(var d,e=(eb[b]||[]).concat(eb["*"]),f=0,g=e.length;g>f;f++)if(d=e[f].call(c,b,a))return d}function ib(a,b,c){var d,e,f,g,h,i,j,l,n=this,o={},p=a.style,q=a.nodeType&&U(a),r=m._data(a,"fxshow");c.queue||(h=m._queueHooks(a,"fx"),null==h.unqueued&&(h.unqueued=0,i=h.empty.fire,h.empty.fire=function(){h.unqueued||i()}),h.unqueued++,n.always(function(){n.always(function(){h.unqueued--,m.queue(a,"fx").length||h.empty.fire()})})),1===a.nodeType&&("height"in b||"width"in b)&&(c.overflow=[p.overflow,p.overflowX,p.overflowY],j=m.css(a,"display"),l="none"===j?m._data(a,"olddisplay")||Fa(a.nodeName):j,"inline"===l&&"none"===m.css(a,"float")&&(k.inlineBlockNeedsLayout&&"inline"!==Fa(a.nodeName)?p.zoom=1:p.display="inline-block")),c.overflow&&(p.overflow="hidden",k.shrinkWrapBlocks()||n.always(function(){p.overflow=c.overflow[0],p.overflowX=c.overflow[1],p.overflowY=c.overflow[2]}));for(d in b)if(e=b[d],ab.exec(e)){if(delete b[d],f=f||"toggle"===e,e===(q?"hide":"show")){if("show"!==e||!r||void 0===r[d])continue;q=!0}o[d]=r&&r[d]||m.style(a,d)}else j=void 0;if(m.isEmptyObject(o))"inline"===("none"===j?Fa(a.nodeName):j)&&(p.display=j);else{r?"hidden"in r&&(q=r.hidden):r=m._data(a,"fxshow",{}),f&&(r.hidden=!q),q?m(a).show():n.done(function(){m(a).hide()}),n.done(function(){var b;m._removeData(a,"fxshow");for(b in o)m.style(a,b,o[b])});for(d in o)g=hb(q?r[d]:0,d,n),d in r||(r[d]=g.start,q&&(g.end=g.start,g.start="width"===d||"height"===d?1:0))}}function jb(a,b){var c,d,e,f,g;for(c in a)if(d=m.camelCase(c),e=b[d],f=a[c],m.isArray(f)&&(e=f[1],f=a[c]=f[0]),c!==d&&(a[d]=f,delete a[c]),g=m.cssHooks[d],g&&"expand"in g){f=g.expand(f),delete a[d];for(c in f)c in a||(a[c]=f[c],b[c]=e)}else b[d]=e}function kb(a,b,c){var d,e,f=0,g=db.length,h=m.Deferred().always(function(){delete i.elem}),i=function(){if(e)return!1;for(var b=$a||fb(),c=Math.max(0,j.startTime+j.duration-b),d=c/j.duration||0,f=1-d,g=0,i=j.tweens.length;i>g;g++)j.tweens[g].run(f);return h.notifyWith(a,[j,f,c]),1>f&&i?c:(h.resolveWith(a,[j]),!1)},j=h.promise({elem:a,props:m.extend({},b),opts:m.extend(!0,{specialEasing:{}},c),originalProperties:b,originalOptions:c,startTime:$a||fb(),duration:c.duration,tweens:[],createTween:function(b,c){var d=m.Tween(a,j.opts,b,c,j.opts.specialEasing[b]||j.opts.easing);return j.tweens.push(d),d},stop:function(b){var c=0,d=b?j.tweens.length:0;if(e)return this;for(e=!0;d>c;c++)j.tweens[c].run(1);return b?h.resolveWith(a,[j,b]):h.rejectWith(a,[j,b]),this}}),k=j.props;for(jb(k,j.opts.specialEasing);g>f;f++)if(d=db[f].call(j,a,k,j.opts))return d;return m.map(k,hb,j),m.isFunction(j.opts.start)&&j.opts.start.call(a,j),m.fx.timer(m.extend(i,{elem:a,anim:j,queue:j.opts.queue})),j.progress(j.opts.progress).done(j.opts.done,j.opts.complete).fail(j.opts.fail).always(j.opts.always)}m.Animation=m.extend(kb,{tweener:function(a,b){m.isFunction(a)?(b=a,a=["*"]):a=a.split(" ");for(var c,d=0,e=a.length;e>d;d++)c=a[d],eb[c]=eb[c]||[],eb[c].unshift(b)},prefilter:function(a,b){b?db.unshift(a):db.push(a)}}),m.speed=function(a,b,c){var d=a&&"object"==typeof a?m.extend({},a):{complete:c||!c&&b||m.isFunction(a)&&a,duration:a,easing:c&&b||b&&!m.isFunction(b)&&b};return d.duration=m.fx.off?0:"number"==typeof d.duration?d.duration:d.duration in m.fx.speeds?m.fx.speeds[d.duration]:m.fx.speeds._default,(null==d.queue||d.queue===!0)&&(d.queue="fx"),d.old=d.complete,d.complete=function(){m.isFunction(d.old)&&d.old.call(this),d.queue&&m.dequeue(this,d.queue)},d},m.fn.extend({fadeTo:function(a,b,c,d){return this.filter(U).css("opacity",0).show().end().animate({opacity:b},a,c,d)},animate:function(a,b,c,d){var e=m.isEmptyObject(a),f=m.speed(b,c,d),g=function(){var b=kb(this,m.extend({},a),f);(e||m._data(this,"finish"))&&b.stop(!0)};return g.finish=g,e||f.queue===!1?this.each(g):this.queue(f.queue,g)},stop:function(a,b,c){var d=function(a){var b=a.stop;delete a.stop,b(c)};return"string"!=typeof a&&(c=b,b=a,a=void 0),b&&a!==!1&&this.queue(a||"fx",[]),this.each(function(){var b=!0,e=null!=a&&a+"queueHooks",f=m.timers,g=m._data(this);if(e)g[e]&&g[e].stop&&d(g[e]);else for(e in g)g[e]&&g[e].stop&&cb.test(e)&&d(g[e]);for(e=f.length;e--;)f[e].elem!==this||null!=a&&f[e].queue!==a||(f[e].anim.stop(c),b=!1,f.splice(e,1));(b||!c)&&m.dequeue(this,a)})},finish:function(a){return a!==!1&&(a=a||"fx"),this.each(function(){var b,c=m._data(this),d=c[a+"queue"],e=c[a+"queueHooks"],f=m.timers,g=d?d.length:0;for(c.finish=!0,m.queue(this,a,[]),e&&e.stop&&e.stop.call(this,!0),b=f.length;b--;)f[b].elem===this&&f[b].queue===a&&(f[b].anim.stop(!0),f.splice(b,1));for(b=0;g>b;b++)d[b]&&d[b].finish&&d[b].finish.call(this);delete c.finish})}}),m.each(["toggle","show","hide"],function(a,b){var c=m.fn[b];m.fn[b]=function(a,d,e){return null==a||"boolean"==typeof a?c.apply(this,arguments):this.animate(gb(b,!0),a,d,e)}}),m.each({slideDown:gb("show"),slideUp:gb("hide"),slideToggle:gb("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(a,b){m.fn[a]=function(a,c,d){return this.animate(b,a,c,d)}}),m.timers=[],m.fx.tick=function(){var a,b=m.timers,c=0;for($a=m.now();c<b.length;c++)a=b[c],a()||b[c]!==a||b.splice(c--,1);b.length||m.fx.stop(),$a=void 0},m.fx.timer=function(a){m.timers.push(a),a()?m.fx.start():m.timers.pop()},m.fx.interval=13,m.fx.start=function(){_a||(_a=setInterval(m.fx.tick,m.fx.interval))},m.fx.stop=function(){clearInterval(_a),_a=null},m.fx.speeds={slow:600,fast:200,_default:400},m.fn.delay=function(a,b){return a=m.fx?m.fx.speeds[a]||a:a,b=b||"fx",this.queue(b,function(b,c){var d=setTimeout(b,a);c.stop=function(){clearTimeout(d)}})},function(){var a,b,c,d,e;b=y.createElement("div"),b.setAttribute("className","t"),b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",d=b.getElementsByTagName("a")[0],c=y.createElement("select"),e=c.appendChild(y.createElement("option")),a=b.getElementsByTagName("input")[0],d.style.cssText="top:1px",k.getSetAttribute="t"!==b.className,k.style=/top/.test(d.getAttribute("style")),k.hrefNormalized="/a"===d.getAttribute("href"),k.checkOn=!!a.value,k.optSelected=e.selected,k.enctype=!!y.createElement("form").enctype,c.disabled=!0,k.optDisabled=!e.disabled,a=y.createElement("input"),a.setAttribute("value",""),k.input=""===a.getAttribute("value"),a.value="t",a.setAttribute("type","radio"),k.radioValue="t"===a.value}();var lb=/\r/g;m.fn.extend({val:function(a){var b,c,d,e=this[0];{if(arguments.length)return d=m.isFunction(a),this.each(function(c){var e;1===this.nodeType&&(e=d?a.call(this,c,m(this).val()):a,null==e?e="":"number"==typeof e?e+="":m.isArray(e)&&(e=m.map(e,function(a){return null==a?"":a+""})),b=m.valHooks[this.type]||m.valHooks[this.nodeName.toLowerCase()],b&&"set"in b&&void 0!==b.set(this,e,"value")||(this.value=e))});if(e)return b=m.valHooks[e.type]||m.valHooks[e.nodeName.toLowerCase()],b&&"get"in b&&void 0!==(c=b.get(e,"value"))?c:(c=e.value,"string"==typeof c?c.replace(lb,""):null==c?"":c)}}}),m.extend({valHooks:{option:{get:function(a){var b=m.find.attr(a,"value");return null!=b?b:m.trim(m.text(a))}},select:{get:function(a){for(var b,c,d=a.options,e=a.selectedIndex,f="select-one"===a.type||0>e,g=f?null:[],h=f?e+1:d.length,i=0>e?h:f?e:0;h>i;i++)if(c=d[i],!(!c.selected&&i!==e||(k.optDisabled?c.disabled:null!==c.getAttribute("disabled"))||c.parentNode.disabled&&m.nodeName(c.parentNode,"optgroup"))){if(b=m(c).val(),f)return b;g.push(b)}return g},set:function(a,b){var c,d,e=a.options,f=m.makeArray(b),g=e.length;while(g--)if(d=e[g],m.inArray(m.valHooks.option.get(d),f)>=0)try{d.selected=c=!0}catch(h){d.scrollHeight}else d.selected=!1;return c||(a.selectedIndex=-1),e}}}}),m.each(["radio","checkbox"],function(){m.valHooks[this]={set:function(a,b){return m.isArray(b)?a.checked=m.inArray(m(a).val(),b)>=0:void 0}},k.checkOn||(m.valHooks[this].get=function(a){return null===a.getAttribute("value")?"on":a.value})});var mb,nb,ob=m.expr.attrHandle,pb=/^(?:checked|selected)$/i,qb=k.getSetAttribute,rb=k.input;m.fn.extend({attr:function(a,b){return V(this,m.attr,a,b,arguments.length>1)},removeAttr:function(a){return this.each(function(){m.removeAttr(this,a)})}}),m.extend({attr:function(a,b,c){var d,e,f=a.nodeType;if(a&&3!==f&&8!==f&&2!==f)return typeof a.getAttribute===K?m.prop(a,b,c):(1===f&&m.isXMLDoc(a)||(b=b.toLowerCase(),d=m.attrHooks[b]||(m.expr.match.bool.test(b)?nb:mb)),void 0===c?d&&"get"in d&&null!==(e=d.get(a,b))?e:(e=m.find.attr(a,b),null==e?void 0:e):null!==c?d&&"set"in d&&void 0!==(e=d.set(a,c,b))?e:(a.setAttribute(b,c+""),c):void m.removeAttr(a,b))},removeAttr:function(a,b){var c,d,e=0,f=b&&b.match(E);if(f&&1===a.nodeType)while(c=f[e++])d=m.propFix[c]||c,m.expr.match.bool.test(c)?rb&&qb||!pb.test(c)?a[d]=!1:a[m.camelCase("default-"+c)]=a[d]=!1:m.attr(a,c,""),a.removeAttribute(qb?c:d)},attrHooks:{type:{set:function(a,b){if(!k.radioValue&&"radio"===b&&m.nodeName(a,"input")){var c=a.value;return a.setAttribute("type",b),c&&(a.value=c),b}}}}}),nb={set:function(a,b,c){return b===!1?m.removeAttr(a,c):rb&&qb||!pb.test(c)?a.setAttribute(!qb&&m.propFix[c]||c,c):a[m.camelCase("default-"+c)]=a[c]=!0,c}},m.each(m.expr.match.bool.source.match(/\w+/g),function(a,b){var c=ob[b]||m.find.attr;ob[b]=rb&&qb||!pb.test(b)?function(a,b,d){var e,f;return d||(f=ob[b],ob[b]=e,e=null!=c(a,b,d)?b.toLowerCase():null,ob[b]=f),e}:function(a,b,c){return c?void 0:a[m.camelCase("default-"+b)]?b.toLowerCase():null}}),rb&&qb||(m.attrHooks.value={set:function(a,b,c){return m.nodeName(a,"input")?void(a.defaultValue=b):mb&&mb.set(a,b,c)}}),qb||(mb={set:function(a,b,c){var d=a.getAttributeNode(c);return d||a.setAttributeNode(d=a.ownerDocument.createAttribute(c)),d.value=b+="","value"===c||b===a.getAttribute(c)?b:void 0}},ob.id=ob.name=ob.coords=function(a,b,c){var d;return c?void 0:(d=a.getAttributeNode(b))&&""!==d.value?d.value:null},m.valHooks.button={get:function(a,b){var c=a.getAttributeNode(b);return c&&c.specified?c.value:void 0},set:mb.set},m.attrHooks.contenteditable={set:function(a,b,c){mb.set(a,""===b?!1:b,c)}},m.each(["width","height"],function(a,b){m.attrHooks[b]={set:function(a,c){return""===c?(a.setAttribute(b,"auto"),c):void 0}}})),k.style||(m.attrHooks.style={get:function(a){return a.style.cssText||void 0},set:function(a,b){return a.style.cssText=b+""}});var sb=/^(?:input|select|textarea|button|object)$/i,tb=/^(?:a|area)$/i;m.fn.extend({prop:function(a,b){return V(this,m.prop,a,b,arguments.length>1)},removeProp:function(a){return a=m.propFix[a]||a,this.each(function(){try{this[a]=void 0,delete this[a]}catch(b){}})}}),m.extend({propFix:{"for":"htmlFor","class":"className"},prop:function(a,b,c){var d,e,f,g=a.nodeType;if(a&&3!==g&&8!==g&&2!==g)return f=1!==g||!m.isXMLDoc(a),f&&(b=m.propFix[b]||b,e=m.propHooks[b]),void 0!==c?e&&"set"in e&&void 0!==(d=e.set(a,c,b))?d:a[b]=c:e&&"get"in e&&null!==(d=e.get(a,b))?d:a[b]},propHooks:{tabIndex:{get:function(a){var b=m.find.attr(a,"tabindex");return b?parseInt(b,10):sb.test(a.nodeName)||tb.test(a.nodeName)&&a.href?0:-1}}}}),k.hrefNormalized||m.each(["href","src"],function(a,b){m.propHooks[b]={get:function(a){return a.getAttribute(b,4)}}}),k.optSelected||(m.propHooks.selected={get:function(a){var b=a.parentNode;return b&&(b.selectedIndex,b.parentNode&&b.parentNode.selectedIndex),null}}),m.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){m.propFix[this.toLowerCase()]=this}),k.enctype||(m.propFix.enctype="encoding");var ub=/[\t\r\n\f]/g;m.fn.extend({addClass:function(a){var b,c,d,e,f,g,h=0,i=this.length,j="string"==typeof a&&a;if(m.isFunction(a))return this.each(function(b){m(this).addClass(a.call(this,b,this.className))});if(j)for(b=(a||"").match(E)||[];i>h;h++)if(c=this[h],d=1===c.nodeType&&(c.className?(" "+c.className+" ").replace(ub," "):" ")){f=0;while(e=b[f++])d.indexOf(" "+e+" ")<0&&(d+=e+" ");g=m.trim(d),c.className!==g&&(c.className=g)}return this},removeClass:function(a){var b,c,d,e,f,g,h=0,i=this.length,j=0===arguments.length||"string"==typeof a&&a;if(m.isFunction(a))return this.each(function(b){m(this).removeClass(a.call(this,b,this.className))});if(j)for(b=(a||"").match(E)||[];i>h;h++)if(c=this[h],d=1===c.nodeType&&(c.className?(" "+c.className+" ").replace(ub," "):"")){f=0;while(e=b[f++])while(d.indexOf(" "+e+" ")>=0)d=d.replace(" "+e+" "," ");g=a?m.trim(d):"",c.className!==g&&(c.className=g)}return this},toggleClass:function(a,b){var c=typeof a;return"boolean"==typeof b&&"string"===c?b?this.addClass(a):this.removeClass(a):this.each(m.isFunction(a)?function(c){m(this).toggleClass(a.call(this,c,this.className,b),b)}:function(){if("string"===c){var b,d=0,e=m(this),f=a.match(E)||[];while(b=f[d++])e.hasClass(b)?e.removeClass(b):e.addClass(b)}else(c===K||"boolean"===c)&&(this.className&&m._data(this,"__className__",this.className),this.className=this.className||a===!1?"":m._data(this,"__className__")||"")})},hasClass:function(a){for(var b=" "+a+" ",c=0,d=this.length;d>c;c++)if(1===this[c].nodeType&&(" "+this[c].className+" ").replace(ub," ").indexOf(b)>=0)return!0;return!1}}),m.each("blur focus focusin focusout load resize scroll unload click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup error contextmenu".split(" "),function(a,b){m.fn[b]=function(a,c){return arguments.length>0?this.on(b,null,a,c):this.trigger(b)}}),m.fn.extend({hover:function(a,b){return this.mouseenter(a).mouseleave(b||a)},bind:function(a,b,c){return this.on(a,null,b,c)},unbind:function(a,b){return this.off(a,null,b)},delegate:function(a,b,c,d){return this.on(b,a,c,d)},undelegate:function(a,b,c){return 1===arguments.length?this.off(a,"**"):this.off(b,a||"**",c)}});var vb=m.now(),wb=/\?/,xb=/(,)|(\[|{)|(}|])|"(?:[^"\\\r\n]|\\["\\\/bfnrt]|\\u[\da-fA-F]{4})*"\s*:?|true|false|null|-?(?!0\d)\d+(?:\.\d+|)(?:[eE][+-]?\d+|)/g;m.parseJSON=function(b){if(a.JSON&&a.JSON.parse)return a.JSON.parse(b+"");var c,d=null,e=m.trim(b+"");return e&&!m.trim(e.replace(xb,function(a,b,e,f){return c&&b&&(d=0),0===d?a:(c=e||b,d+=!f-!e,"")}))?Function("return "+e)():m.error("Invalid JSON: "+b)},m.parseXML=function(b){var c,d;if(!b||"string"!=typeof b)return null;try{a.DOMParser?(d=new DOMParser,c=d.parseFromString(b,"text/xml")):(c=new ActiveXObject("Microsoft.XMLDOM"),c.async="false",c.loadXML(b))}catch(e){c=void 0}return c&&c.documentElement&&!c.getElementsByTagName("parsererror").length||m.error("Invalid XML: "+b),c};var yb,zb,Ab=/#.*$/,Bb=/([?&])_=[^&]*/,Cb=/^(.*?):[ \t]*([^\r\n]*)\r?$/gm,Db=/^(?:about|app|app-storage|.+-extension|file|res|widget):$/,Eb=/^(?:GET|HEAD)$/,Fb=/^\/\//,Gb=/^([\w.+-]+:)(?:\/\/(?:[^\/?#]*@|)([^\/?#:]*)(?::(\d+)|)|)/,Hb={},Ib={},Jb="*/".concat("*");try{zb=location.href}catch(Kb){zb=y.createElement("a"),zb.href="",zb=zb.href}yb=Gb.exec(zb.toLowerCase())||[];function Lb(a){return function(b,c){"string"!=typeof b&&(c=b,b="*");var d,e=0,f=b.toLowerCase().match(E)||[];if(m.isFunction(c))while(d=f[e++])"+"===d.charAt(0)?(d=d.slice(1)||"*",(a[d]=a[d]||[]).unshift(c)):(a[d]=a[d]||[]).push(c)}}function Mb(a,b,c,d){var e={},f=a===Ib;function g(h){var i;return e[h]=!0,m.each(a[h]||[],function(a,h){var j=h(b,c,d);return"string"!=typeof j||f||e[j]?f?!(i=j):void 0:(b.dataTypes.unshift(j),g(j),!1)}),i}return g(b.dataTypes[0])||!e["*"]&&g("*")}function Nb(a,b){var c,d,e=m.ajaxSettings.flatOptions||{};for(d in b)void 0!==b[d]&&((e[d]?a:c||(c={}))[d]=b[d]);return c&&m.extend(!0,a,c),a}function Ob(a,b,c){var d,e,f,g,h=a.contents,i=a.dataTypes;while("*"===i[0])i.shift(),void 0===e&&(e=a.mimeType||b.getResponseHeader("Content-Type"));if(e)for(g in h)if(h[g]&&h[g].test(e)){i.unshift(g);break}if(i[0]in c)f=i[0];else{for(g in c){if(!i[0]||a.converters[g+" "+i[0]]){f=g;break}d||(d=g)}f=f||d}return f?(f!==i[0]&&i.unshift(f),c[f]):void 0}function Pb(a,b,c,d){var e,f,g,h,i,j={},k=a.dataTypes.slice();if(k[1])for(g in a.converters)j[g.toLowerCase()]=a.converters[g];f=k.shift();while(f)if(a.responseFields[f]&&(c[a.responseFields[f]]=b),!i&&d&&a.dataFilter&&(b=a.dataFilter(b,a.dataType)),i=f,f=k.shift())if("*"===f)f=i;else if("*"!==i&&i!==f){if(g=j[i+" "+f]||j["* "+f],!g)for(e in j)if(h=e.split(" "),h[1]===f&&(g=j[i+" "+h[0]]||j["* "+h[0]])){g===!0?g=j[e]:j[e]!==!0&&(f=h[0],k.unshift(h[1]));break}if(g!==!0)if(g&&a["throws"])b=g(b);else try{b=g(b)}catch(l){return{state:"parsererror",error:g?l:"No conversion from "+i+" to "+f}}}return{state:"success",data:b}}m.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:zb,type:"GET",isLocal:Db.test(yb[1]),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Jb,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/xml/,html:/html/,json:/json/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":m.parseJSON,"text xml":m.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(a,b){return b?Nb(Nb(a,m.ajaxSettings),b):Nb(m.ajaxSettings,a)},ajaxPrefilter:Lb(Hb),ajaxTransport:Lb(Ib),ajax:function(a,b){"object"==typeof a&&(b=a,a=void 0),b=b||{};var c,d,e,f,g,h,i,j,k=m.ajaxSetup({},b),l=k.context||k,n=k.context&&(l.nodeType||l.jquery)?m(l):m.event,o=m.Deferred(),p=m.Callbacks("once memory"),q=k.statusCode||{},r={},s={},t=0,u="canceled",v={readyState:0,getResponseHeader:function(a){var b;if(2===t){if(!j){j={};while(b=Cb.exec(f))j[b[1].toLowerCase()]=b[2]}b=j[a.toLowerCase()]}return null==b?null:b},getAllResponseHeaders:function(){return 2===t?f:null},setRequestHeader:function(a,b){var c=a.toLowerCase();return t||(a=s[c]=s[c]||a,r[a]=b),this},overrideMimeType:function(a){return t||(k.mimeType=a),this},statusCode:function(a){var b;if(a)if(2>t)for(b in a)q[b]=[q[b],a[b]];else v.always(a[v.status]);return this},abort:function(a){var b=a||u;return i&&i.abort(b),x(0,b),this}};if(o.promise(v).complete=p.add,v.success=v.done,v.error=v.fail,k.url=((a||k.url||zb)+"").replace(Ab,"").replace(Fb,yb[1]+"//"),k.type=b.method||b.type||k.method||k.type,k.dataTypes=m.trim(k.dataType||"*").toLowerCase().match(E)||[""],null==k.crossDomain&&(c=Gb.exec(k.url.toLowerCase()),k.crossDomain=!(!c||c[1]===yb[1]&&c[2]===yb[2]&&(c[3]||("http:"===c[1]?"80":"443"))===(yb[3]||("http:"===yb[1]?"80":"443")))),k.data&&k.processData&&"string"!=typeof k.data&&(k.data=m.param(k.data,k.traditional)),Mb(Hb,k,b,v),2===t)return v;h=m.event&&k.global,h&&0===m.active++&&m.event.trigger("ajaxStart"),k.type=k.type.toUpperCase(),k.hasContent=!Eb.test(k.type),e=k.url,k.hasContent||(k.data&&(e=k.url+=(wb.test(e)?"&":"?")+k.data,delete k.data),k.cache===!1&&(k.url=Bb.test(e)?e.replace(Bb,"$1_="+vb++):e+(wb.test(e)?"&":"?")+"_="+vb++)),k.ifModified&&(m.lastModified[e]&&v.setRequestHeader("If-Modified-Since",m.lastModified[e]),m.etag[e]&&v.setRequestHeader("If-None-Match",m.etag[e])),(k.data&&k.hasContent&&k.contentType!==!1||b.contentType)&&v.setRequestHeader("Content-Type",k.contentType),v.setRequestHeader("Accept",k.dataTypes[0]&&k.accepts[k.dataTypes[0]]?k.accepts[k.dataTypes[0]]+("*"!==k.dataTypes[0]?", "+Jb+"; q=0.01":""):k.accepts["*"]);for(d in k.headers)v.setRequestHeader(d,k.headers[d]);if(k.beforeSend&&(k.beforeSend.call(l,v,k)===!1||2===t))return v.abort();u="abort";for(d in{success:1,error:1,complete:1})v[d](k[d]);if(i=Mb(Ib,k,b,v)){v.readyState=1,h&&n.trigger("ajaxSend",[v,k]),k.async&&k.timeout>0&&(g=setTimeout(function(){v.abort("timeout")},k.timeout));try{t=1,i.send(r,x)}catch(w){if(!(2>t))throw w;x(-1,w)}}else x(-1,"No Transport");function x(a,b,c,d){var j,r,s,u,w,x=b;2!==t&&(t=2,g&&clearTimeout(g),i=void 0,f=d||"",v.readyState=a>0?4:0,j=a>=200&&300>a||304===a,c&&(u=Ob(k,v,c)),u=Pb(k,u,v,j),j?(k.ifModified&&(w=v.getResponseHeader("Last-Modified"),w&&(m.lastModified[e]=w),w=v.getResponseHeader("etag"),w&&(m.etag[e]=w)),204===a||"HEAD"===k.type?x="nocontent":304===a?x="notmodified":(x=u.state,r=u.data,s=u.error,j=!s)):(s=x,(a||!x)&&(x="error",0>a&&(a=0))),v.status=a,v.statusText=(b||x)+"",j?o.resolveWith(l,[r,x,v]):o.rejectWith(l,[v,x,s]),v.statusCode(q),q=void 0,h&&n.trigger(j?"ajaxSuccess":"ajaxError",[v,k,j?r:s]),p.fireWith(l,[v,x]),h&&(n.trigger("ajaxComplete",[v,k]),--m.active||m.event.trigger("ajaxStop")))}return v},getJSON:function(a,b,c){return m.get(a,b,c,"json")},getScript:function(a,b){return m.get(a,void 0,b,"script")}}),m.each(["get","post"],function(a,b){m[b]=function(a,c,d,e){return m.isFunction(c)&&(e=e||d,d=c,c=void 0),m.ajax({url:a,type:b,dataType:e,data:c,success:d})}}),m._evalUrl=function(a){return m.ajax({url:a,type:"GET",dataType:"script",async:!1,global:!1,"throws":!0})},m.fn.extend({wrapAll:function(a){if(m.isFunction(a))return this.each(function(b){m(this).wrapAll(a.call(this,b))});if(this[0]){var b=m(a,this[0].ownerDocument).eq(0).clone(!0);this[0].parentNode&&b.insertBefore(this[0]),b.map(function(){var a=this;while(a.firstChild&&1===a.firstChild.nodeType)a=a.firstChild;return a}).append(this)}return this},wrapInner:function(a){return this.each(m.isFunction(a)?function(b){m(this).wrapInner(a.call(this,b))}:function(){var b=m(this),c=b.contents();c.length?c.wrapAll(a):b.append(a)})},wrap:function(a){var b=m.isFunction(a);return this.each(function(c){m(this).wrapAll(b?a.call(this,c):a)})},unwrap:function(){return this.parent().each(function(){m.nodeName(this,"body")||m(this).replaceWith(this.childNodes)}).end()}}),m.expr.filters.hidden=function(a){return a.offsetWidth<=0&&a.offsetHeight<=0||!k.reliableHiddenOffsets()&&"none"===(a.style&&a.style.display||m.css(a,"display"))},m.expr.filters.visible=function(a){return!m.expr.filters.hidden(a)};var Qb=/%20/g,Rb=/\[\]$/,Sb=/\r?\n/g,Tb=/^(?:submit|button|image|reset|file)$/i,Ub=/^(?:input|select|textarea|keygen)/i;function Vb(a,b,c,d){var e;if(m.isArray(b))m.each(b,function(b,e){c||Rb.test(a)?d(a,e):Vb(a+"["+("object"==typeof e?b:"")+"]",e,c,d)});else if(c||"object"!==m.type(b))d(a,b);else for(e in b)Vb(a+"["+e+"]",b[e],c,d)}m.param=function(a,b){var c,d=[],e=function(a,b){b=m.isFunction(b)?b():null==b?"":b,d[d.length]=encodeURIComponent(a)+"="+encodeURIComponent(b)};if(void 0===b&&(b=m.ajaxSettings&&m.ajaxSettings.traditional),m.isArray(a)||a.jquery&&!m.isPlainObject(a))m.each(a,function(){e(this.name,this.value)});else for(c in a)Vb(c,a[c],b,e);return d.join("&").replace(Qb,"+")},m.fn.extend({serialize:function(){return m.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var a=m.prop(this,"elements");return a?m.makeArray(a):this}).filter(function(){var a=this.type;return this.name&&!m(this).is(":disabled")&&Ub.test(this.nodeName)&&!Tb.test(a)&&(this.checked||!W.test(a))}).map(function(a,b){var c=m(this).val();return null==c?null:m.isArray(c)?m.map(c,function(a){return{name:b.name,value:a.replace(Sb,"\r\n")}}):{name:b.name,value:c.replace(Sb,"\r\n")}}).get()}}),m.ajaxSettings.xhr=void 0!==a.ActiveXObject?function(){return!this.isLocal&&/^(get|post|head|put|delete|options)$/i.test(this.type)&&Zb()||$b()}:Zb;var Wb=0,Xb={},Yb=m.ajaxSettings.xhr();a.attachEvent&&a.attachEvent("onunload",function(){for(var a in Xb)Xb[a](void 0,!0)}),k.cors=!!Yb&&"withCredentials"in Yb,Yb=k.ajax=!!Yb,Yb&&m.ajaxTransport(function(a){if(!a.crossDomain||k.cors){var b;return{send:function(c,d){var e,f=a.xhr(),g=++Wb;if(f.open(a.type,a.url,a.async,a.username,a.password),a.xhrFields)for(e in a.xhrFields)f[e]=a.xhrFields[e];a.mimeType&&f.overrideMimeType&&f.overrideMimeType(a.mimeType),a.crossDomain||c["X-Requested-With"]||(c["X-Requested-With"]="XMLHttpRequest");for(e in c)void 0!==c[e]&&f.setRequestHeader(e,c[e]+"");f.send(a.hasContent&&a.data||null),b=function(c,e){var h,i,j;if(b&&(e||4===f.readyState))if(delete Xb[g],b=void 0,f.onreadystatechange=m.noop,e)4!==f.readyState&&f.abort();else{j={},h=f.status,"string"==typeof f.responseText&&(j.text=f.responseText);try{i=f.statusText}catch(k){i=""}h||!a.isLocal||a.crossDomain?1223===h&&(h=204):h=j.text?200:404}j&&d(h,i,j,f.getAllResponseHeaders())},a.async?4===f.readyState?setTimeout(b):f.onreadystatechange=Xb[g]=b:b()},abort:function(){b&&b(void 0,!0)}}}});function Zb(){try{return new a.XMLHttpRequest}catch(b){}}function $b(){try{return new a.ActiveXObject("Microsoft.XMLHTTP")}catch(b){}}m.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/(?:java|ecma)script/},converters:{"text script":function(a){return m.globalEval(a),a}}}),m.ajaxPrefilter("script",function(a){void 0===a.cache&&(a.cache=!1),a.crossDomain&&(a.type="GET",a.global=!1)}),m.ajaxTransport("script",function(a){if(a.crossDomain){var b,c=y.head||m("head")[0]||y.documentElement;return{send:function(d,e){b=y.createElement("script"),b.async=!0,a.scriptCharset&&(b.charset=a.scriptCharset),b.src=a.url,b.onload=b.onreadystatechange=function(a,c){(c||!b.readyState||/loaded|complete/.test(b.readyState))&&(b.onload=b.onreadystatechange=null,b.parentNode&&b.parentNode.removeChild(b),b=null,c||e(200,"success"))},c.insertBefore(b,c.firstChild)},abort:function(){b&&b.onload(void 0,!0)}}}});var _b=[],ac=/(=)\?(?=&|$)|\?\?/;m.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var a=_b.pop()||m.expando+"_"+vb++;return this[a]=!0,a}}),m.ajaxPrefilter("json jsonp",function(b,c,d){var e,f,g,h=b.jsonp!==!1&&(ac.test(b.url)?"url":"string"==typeof b.data&&!(b.contentType||"").indexOf("application/x-www-form-urlencoded")&&ac.test(b.data)&&"data");return h||"jsonp"===b.dataTypes[0]?(e=b.jsonpCallback=m.isFunction(b.jsonpCallback)?b.jsonpCallback():b.jsonpCallback,h?b[h]=b[h].replace(ac,"$1"+e):b.jsonp!==!1&&(b.url+=(wb.test(b.url)?"&":"?")+b.jsonp+"="+e),b.converters["script json"]=function(){return g||m.error(e+" was not called"),g[0]},b.dataTypes[0]="json",f=a[e],a[e]=function(){g=arguments},d.always(function(){a[e]=f,b[e]&&(b.jsonpCallback=c.jsonpCallback,_b.push(e)),g&&m.isFunction(f)&&f(g[0]),g=f=void 0}),"script"):void 0}),m.parseHTML=function(a,b,c){if(!a||"string"!=typeof a)return null;"boolean"==typeof b&&(c=b,b=!1),b=b||y;var d=u.exec(a),e=!c&&[];return d?[b.createElement(d[1])]:(d=m.buildFragment([a],b,e),e&&e.length&&m(e).remove(),m.merge([],d.childNodes))};var bc=m.fn.load;m.fn.load=function(a,b,c){if("string"!=typeof a&&bc)return bc.apply(this,arguments);var d,e,f,g=this,h=a.indexOf(" ");return h>=0&&(d=m.trim(a.slice(h,a.length)),a=a.slice(0,h)),m.isFunction(b)?(c=b,b=void 0):b&&"object"==typeof b&&(f="POST"),g.length>0&&m.ajax({url:a,type:f,dataType:"html",data:b}).done(function(a){e=arguments,g.html(d?m("<div>").append(m.parseHTML(a)).find(d):a)}).complete(c&&function(a,b){g.each(c,e||[a.responseText,b,a])}),this},m.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(a,b){m.fn[b]=function(a){return this.on(b,a)}}),m.expr.filters.animated=function(a){return m.grep(m.timers,function(b){return a===b.elem}).length};var cc=a.document.documentElement;function dc(a){return m.isWindow(a)?a:9===a.nodeType?a.defaultView||a.parentWindow:!1}m.offset={setOffset:function(a,b,c){var d,e,f,g,h,i,j,k=m.css(a,"position"),l=m(a),n={};"static"===k&&(a.style.position="relative"),h=l.offset(),f=m.css(a,"top"),i=m.css(a,"left"),j=("absolute"===k||"fixed"===k)&&m.inArray("auto",[f,i])>-1,j?(d=l.position(),g=d.top,e=d.left):(g=parseFloat(f)||0,e=parseFloat(i)||0),m.isFunction(b)&&(b=b.call(a,c,h)),null!=b.top&&(n.top=b.top-h.top+g),null!=b.left&&(n.left=b.left-h.left+e),"using"in b?b.using.call(a,n):l.css(n)}},m.fn.extend({offset:function(a){if(arguments.length)return void 0===a?this:this.each(function(b){m.offset.setOffset(this,a,b)});var b,c,d={top:0,left:0},e=this[0],f=e&&e.ownerDocument;if(f)return b=f.documentElement,m.contains(b,e)?(typeof e.getBoundingClientRect!==K&&(d=e.getBoundingClientRect()),c=dc(f),{top:d.top+(c.pageYOffset||b.scrollTop)-(b.clientTop||0),left:d.left+(c.pageXOffset||b.scrollLeft)-(b.clientLeft||0)}):d},position:function(){if(this[0]){var a,b,c={top:0,left:0},d=this[0];return"fixed"===m.css(d,"position")?b=d.getBoundingClientRect():(a=this.offsetParent(),b=this.offset(),m.nodeName(a[0],"html")||(c=a.offset()),c.top+=m.css(a[0],"borderTopWidth",!0),c.left+=m.css(a[0],"borderLeftWidth",!0)),{top:b.top-c.top-m.css(d,"marginTop",!0),left:b.left-c.left-m.css(d,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var a=this.offsetParent||cc;while(a&&!m.nodeName(a,"html")&&"static"===m.css(a,"position"))a=a.offsetParent;return a||cc})}}),m.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(a,b){var c=/Y/.test(b);m.fn[a]=function(d){return V(this,function(a,d,e){var f=dc(a);return void 0===e?f?b in f?f[b]:f.document.documentElement[d]:a[d]:void(f?f.scrollTo(c?m(f).scrollLeft():e,c?e:m(f).scrollTop()):a[d]=e)},a,d,arguments.length,null)}}),m.each(["top","left"],function(a,b){m.cssHooks[b]=La(k.pixelPosition,function(a,c){return c?(c=Ja(a,b),Ha.test(c)?m(a).position()[b]+"px":c):void 0})}),m.each({Height:"height",Width:"width"},function(a,b){m.each({padding:"inner"+a,content:b,"":"outer"+a},function(c,d){m.fn[d]=function(d,e){var f=arguments.length&&(c||"boolean"!=typeof d),g=c||(d===!0||e===!0?"margin":"border");return V(this,function(b,c,d){var e;return m.isWindow(b)?b.document.documentElement["client"+a]:9===b.nodeType?(e=b.documentElement,Math.max(b.body["scroll"+a],e["scroll"+a],b.body["offset"+a],e["offset"+a],e["client"+a])):void 0===d?m.css(b,c,g):m.style(b,c,d,g)},b,f?d:void 0,f,null)}})}),m.fn.size=function(){return this.length},m.fn.andSelf=m.fn.addBack,"function"==typeof define&&define.amd&&define("jquery",[],function(){return m});var ec=a.jQuery,fc=a.$;return m.noConflict=function(b){return a.$===m&&(a.$=fc),b&&a.jQuery===m&&(a.jQuery=ec),m},typeof b===K&&(a.jQuery=a.$=m),m});
+<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
 </script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <style type="text/css">html{font-family:sans-serif;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{margin:.67em 0;font-size:2em}mark{color:#000;background:#ff0}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{height:0;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}button,input,optgroup,select,textarea{margin:0;font:inherit;color:inherit}button{overflow:visible}button,select{text-transform:none}button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}input{line-height:normal}input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto}input[type=search]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none}fieldset{padding:.35em .625em .75em;margin:0 2px;border:1px solid silver}legend{padding:0;border:0}textarea{overflow:auto}optgroup{font-weight:700}table{border-spacing:0;border-collapse:collapse}td,th{padding:0}@media print{*,:after,:before{color:#000!important;text-shadow:none!important;background:0 0!important;-webkit-box-shadow:none!important;box-shadow:none!important}a,a:visited{text-decoration:underline}a[href]:after{content:" (" attr(href) ")"}abbr[title]:after{content:" (" attr(title) ")"}a[href^="javascript:"]:after,a[href^="#"]:after{content:""}blockquote,pre{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}img,tr{page-break-inside:avoid}img{max-width:100%!important}h2,h3,p{orphans:3;widows:3}h2,h3{page-break-after:avoid}.navbar{display:none}.btn>.caret,.dropup>.btn>.caret{border-top-color:#000!important}.label{border:1px solid #000}.table{border-collapse:collapse!important}.table td,.table th{background-color:#fff!important}.table-bordered td,.table-bordered th{border:1px solid #ddd!important}}@font-face{font-family:'Glyphicons Halflings';src:url(data:application/vnd.ms-fontobject;base64,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);src:url(data:application/vnd.ms-fontobject;base64,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) format('embedded-opentype'),url(data:application/font-woff;base64,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) format('woff'),url(data:application/x-font-truetype;base64,AAEAAAAPAIAAAwBwRkZUTW0ql9wAAAD8AAAAHEdERUYBRAAEAAABGAAAACBPUy8yZ7lriQAAATgAAABgY21hcNqt44EAAAGYAAAGcmN2dCAAKAL4AAAIDAAAAARnYXNw//8AAwAACBAAAAAIZ2x5Zn1dwm8AAAgYAACUpGhlYWQFTS/YAACcvAAAADZoaGVhCkQEEQAAnPQAAAAkaG10eNLHIGAAAJ0YAAADdGxvY2Fv+5XOAACgjAAAAjBtYXhwAWoA2AAAorwAAAAgbmFtZbMsoJsAAKLcAAADonBvc3S6o+U1AACmgAAACtF3ZWJmwxhUUAAAsVQAAAAGAAAAAQAAAADMPaLPAAAAANB2gXUAAAAA0HZzlwABAAAADgAAABgAAAAAAAIAAQABARYAAQAEAAAAAgAAAAMEiwGQAAUABAMMAtAAAABaAwwC0AAAAaQAMgK4AAAAAAUAAAAAAAAAAAAAAAIAAAAAAAAAAAAAAFVLV04AQAAg//8DwP8QAAAFFAB7AAAAAQAAAAAAAAAAAAAAIAABAAAABQAAAAMAAAAsAAAACgAAAdwAAQAAAAAEaAADAAEAAAAsAAMACgAAAdwABAGwAAAAaABAAAUAKAAgACsAoAClIAogLyBfIKwgvSISIxsl/CYBJvonCScP4APgCeAZ4CngOeBJ4FngYOBp4HngieCX4QnhGeEp4TnhRuFJ4VnhaeF54YnhleGZ4gbiCeIW4hniIeIn4jniSeJZ4mD4////AAAAIAAqAKAApSAAIC8gXyCsIL0iEiMbJfwmASb6JwknD+AB4AXgEOAg4DDgQOBQ4GDgYuBw4IDgkOEB4RDhIOEw4UDhSOFQ4WDhcOGA4ZDhl+IA4gniEOIY4iHiI+Iw4kDiUOJg+P/////j/9r/Zv9i4Ajf5N+132nfWd4F3P3aHdoZ2SHZE9kOIB0gHCAWIBAgCiAEH/4f+B/3H/Ef6x/lH3wfdh9wH2ofZB9jH10fVx9RH0sfRR9EHt4e3B7WHtUezh7NHsUevx65HrMIFQABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAAAAAACjAAAAAAAAAA1AAAAIAAAACAAAAADAAAAKgAAACsAAAAEAAAAoAAAAKAAAAAGAAAApQAAAKUAAAAHAAAgAAAAIAoAAAAIAAAgLwAAIC8AAAATAAAgXwAAIF8AAAAUAAAgrAAAIKwAAAAVAAAgvQAAIL0AAAAWAAAiEgAAIhIAAAAXAAAjGwAAIxsAAAAYAAAl/AAAJfwAAAAZAAAmAQAAJgEAAAAaAAAm+gAAJvoAAAAbAAAnCQAAJwkAAAAcAAAnDwAAJw8AAAAdAADgAQAA4AMAAAAeAADgBQAA4AkAAAAhAADgEAAA4BkAAAAmAADgIAAA4CkAAAAwAADgMAAA4DkAAAA6AADgQAAA4EkAAABEAADgUAAA4FkAAABOAADgYAAA4GAAAABYAADgYgAA4GkAAABZAADgcAAA4HkAAABhAADggAAA4IkAAABrAADgkAAA4JcAAAB1AADhAQAA4QkAAAB9AADhEAAA4RkAAACGAADhIAAA4SkAAACQAADhMAAA4TkAAACaAADhQAAA4UYAAACkAADhSAAA4UkAAACrAADhUAAA4VkAAACtAADhYAAA4WkAAAC3AADhcAAA4XkAAADBAADhgAAA4YkAAADLAADhkAAA4ZUAAADVAADhlwAA4ZkAAADbAADiAAAA4gYAAADeAADiCQAA4gkAAADlAADiEAAA4hYAAADmAADiGAAA4hkAAADtAADiIQAA4iEAAADvAADiIwAA4icAAADwAADiMAAA4jkAAAD1AADiQAAA4kkAAAD/AADiUAAA4lkAAAEJAADiYAAA4mAAAAETAAD4/wAA+P8AAAEUAAH1EQAB9REAAAEVAAH2qgAB9qoAAAEWAAYCCgAAAAABAAABAAAAAAAAAAAAAAAAAAAAAQACAAAAAAAAAAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAwAAAAAAAAAAAAAAAAAAAAAAAAAEAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAVAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKAL4AAAAAf//AAIAAgAoAAABaAMgAAMABwAusQEALzyyBwQA7TKxBgXcPLIDAgDtMgCxAwAvPLIFBADtMrIHBgH8PLIBAgDtMjMRIRElMxEjKAFA/ujw8AMg/OAoAtAAAQBkAGQETARMAFsAAAEyFh8BHgEdATc+AR8BFgYPATMyFhcWFRQGDwEOASsBFx4BDwEGJi8BFRQGBwYjIiYvAS4BPQEHDgEvASY2PwEjIiYnJjU0Nj8BPgE7AScuAT8BNhYfATU0Njc2AlgPJgsLCg+eBxYIagcCB57gChECBgMCAQIRCuCeBwIHaggWB54PCikiDyYLCwoPngcWCGoHAgee4AoRAgYDAgECEQrgngcCB2oIFgeeDwopBEwDAgECEQrgngcCB2oIFgeeDwopIg8mCwsKD54HFghqBwIHnuAKEQIGAwIBAhEK4J4HAgdqCBYHng8KKSIPJgsLCg+eBxYIagcCB57gChECBgAAAAABAAAAAARMBEwAIwAAATMyFhURITIWHQEUBiMhERQGKwEiJjURISImPQE0NjMhETQ2AcLIFR0BXhUdHRX+oh0VyBUd/qIVHR0VAV4dBEwdFf6iHRXIFR3+ohUdHRUBXh0VyBUdAV4VHQAAAAABAHAAAARABEwARQAAATMyFgcBBgchMhYPAQ4BKwEVITIWDwEOASsBFRQGKwEiJj0BISImPwE+ATsBNSEiJj8BPgE7ASYnASY2OwEyHwEWMj8BNgM5+goFCP6UBgUBDAoGBngGGAp9ARMKBgZ4BhgKfQ8LlAsP/u0KBgZ4BhgKff7tCgYGeAYYCnYFBv6UCAUK+hkSpAgUCKQSBEwKCP6UBgwMCKAIDGQMCKAIDK4LDw8LrgwIoAgMZAwIoAgMDAYBbAgKEqQICKQSAAABAGQABQSMBK4AOwAAATIXFhcjNC4DIyIOAwchByEGFSEHIR4EMzI+AzUzBgcGIyInLgEnIzczNjcjNzM+ATc2AujycDwGtSM0QDkXEys4MjAPAXtk/tQGAZZk/tQJMDlCNBUWOUA0I64eYmunznYkQgzZZHABBdpkhhQ+H3UErr1oaS1LMCEPCx4uTzJkMjJkSnRCKw8PIjBKK6trdZ4wqndkLzVkV4UljQAAAgB7AAAETASwAD4ARwAAASEyHgUVHAEVFA4FKwEHITIWDwEOASsBFRQGKwEiJj0BISImPwE+ATsBNSEiJj8BPgE7ARE0NhcRMzI2NTQmIwGsAV5DakIwFgwBAQwWMEJqQ7ICASAKBgZ4BhgKigsKlQoP/vUKBgZ4BhgKdf71CgYGeAYYCnUPtstALS1ABLAaJD8yTyokCwsLJCpQMkAlGmQMCKAIDK8LDg8KrwwIoAgMZAwIoAgMAdsKD8j+1EJWVEAAAAEAyAGQBEwCvAAPAAATITIWHQEUBiMhIiY9ATQ2+gMgFR0dFfzgFR0dArwdFcgVHR0VyBUdAAAAAgDIAAAD6ASwACUAQQAAARUUBisBFRQGBx4BHQEzMhYdASE1NDY7ATU0NjcuAT0BIyImPQEXFRQWFx4BFAYHDgEdASE1NCYnLgE0Njc+AT0BA+gdFTJjUVFjMhUd/OAdFTJjUVFjMhUdyEE3HCAgHDdBAZBBNxwgIBw3QQSwlhUdZFuVIyOVW5YdFZaWFR2WW5UjI5VbZB0VlshkPGMYDDI8MgwYYzyWljxjGAwyPDIMGGM8ZAAAAAEAAAAAAAAAAAAAAAAxAAAB//IBLATCBEEAFgAAATIWFzYzMhYVFAYjISImNTQ2NyY1NDYB9261LCwueKqqeP0ST3FVQgLYBEF3YQ6teHmtclBFaw4MGZnXAAAAAgAAAGQEsASvABoAHgAAAB4BDwEBMzIWHQEhNTQ2OwEBJyY+ARYfATc2AyEnAwL2IAkKiAHTHhQe+1AeFB4B1IcKCSAkCm9wCXoBebbDBLMTIxC7/RYlFSoqFSUC6rcQJBQJEJSWEPwecAIWAAAAAAQAAABkBLAETAALABcAIwA3AAATITIWBwEGIicBJjYXARYUBwEGJjURNDYJATYWFREUBicBJjQHARYGIyEiJjcBNjIfARYyPwE2MhkEfgoFCP3MCBQI/cwIBQMBCAgI/vgICgoDjAEICAoKCP74CFwBbAgFCvuCCgUIAWwIFAikCBQIpAgUBEwKCP3JCAgCNwgK2v74CBQI/vgIBQoCJgoF/vABCAgFCv3aCgUIAQgIFID+lAgKCggBbAgIpAgIpAgAAAAD//D/8AS6BLoACQANABAAAAAyHwEWFA8BJzcTAScJAQUTA+AmDpkNDWPWXyL9mdYCZv4f/rNuBLoNmQ4mDlzWYP50/ZrWAmb8anABTwAAAAEAAAAABLAEsAAPAAABETMyFh0BITU0NjsBEQEhArz6FR384B0V+v4MBLACiv3aHRUyMhUdAiYCJgAAAAEADgAIBEwEnAAfAAABJTYWFREUBgcGLgE2NzYXEQURFAYHBi4BNjc2FxE0NgFwAoUnMFNGT4gkV09IQv2oWEFPiCRXT0hCHQP5ow8eIvzBN1EXGSltchkYEAIJm/2iKmAVGilucRoYEQJ/JioAAAACAAn/+AS7BKcAHQApAAAAMh4CFQcXFAcBFgYPAQYiJwEGIycHIi4CND4BBCIOARQeATI+ATQmAZDItoNOAQFOARMXARY7GikT/u13jgUCZLaDTk6DAXKwlFZWlLCUVlYEp06DtmQCBY15/u4aJRg6FBQBEk0BAU6Dtsi2g1tWlLCUVlaUsJQAAQBkAFgErwREABkAAAE+Ah4CFRQOAwcuBDU0PgIeAQKJMHt4dVg2Q3mEqD4+p4V4Qzhadnh5A7VESAUtU3ZAOXmAf7JVVbJ/gHk5QHZTLQVIAAAAAf/TAF4EewSUABgAAAETNjIXEyEyFgcFExYGJyUFBiY3EyUmNjMBl4MHFQeBAaUVBhH+qoIHDxH+qf6qEQ8Hgv6lEQYUAyABYRMT/p8RDPn+bxQLDPb3DAsUAZD7DBEAAv/TAF4EewSUABgAIgAAARM2MhcTITIWBwUTFgYnJQUGJjcTJSY2MwUjFwc3Fyc3IycBl4MHFQeBAaUVBhH+qoIHDxH+qf6qEQ8Hgv6lEQYUAfPwxUrBw0rA6k4DIAFhExP+nxEM+f5vFAsM9vcMCxQBkPsMEWSO4ouM5YzTAAABAAAAAASwBLAAJgAAATIWHQEUBiMVFBYXBR4BHQEUBiMhIiY9ATQ2NyU+AT0BIiY9ATQ2Alh8sD4mDAkBZgkMDwr7ggoPDAkBZgkMJj6wBLCwfPouaEsKFwbmBRcKXQoPDwpdChcF5gYXCktoLvp8sAAAAA0AAAAABLAETAAPABMAIwAnACsALwAzADcARwBLAE8AUwBXAAATITIWFREUBiMhIiY1ETQ2FxUzNSkBIgYVERQWMyEyNjURNCYzFTM1BRUzNSEVMzUFFTM1IRUzNQchIgYVERQWMyEyNjURNCYFFTM1IRUzNQUVMzUhFTM1GQR+Cg8PCvuCCg8PVWQCo/3aCg8PCgImCg8Pc2T8GGQDIGT8GGQDIGTh/doKDw8KAiYKDw/872QDIGT8GGQDIGQETA8K++YKDw8KBBoKD2RkZA8K/qIKDw8KAV4KD2RkyGRkZGTIZGRkZGQPCv6iCg8PCgFeCg9kZGRkZMhkZGRkAAAEAAAAAARMBEwADwAfAC8APwAAEyEyFhURFAYjISImNRE0NikBMhYVERQGIyEiJjURNDYBITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NjIBkBUdHRX+cBUdHQJtAZAVHR0V/nAVHR39vQGQFR0dFf5wFR0dAm0BkBUdHRX+cBUdHQRMHRX+cBUdHRUBkBUdHRX+cBUdHRUBkBUd/agdFf5wFR0dFQGQFR0dFf5wFR0dFQGQFR0AAAkAAAAABEwETAAPAB8ALwA/AE8AXwBvAH8AjwAAEzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2MsgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR0ETB0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHf5wHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUd/nAdFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0ABgAAAAAEsARMAA8AHwAvAD8ATwBfAAATMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYyyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHQRMHRXIFR0dFcgVHR0VyBUdHRXIFR3+cB0VyBUdHRXIFR0dFcgVHR0VyBUd/nAdFcgVHR0VyBUdHRXIFR0dFcgVHQAAAAABACYALAToBCAAFwAACQE2Mh8BFhQHAQYiJwEmND8BNjIfARYyAdECOwgUB7EICPzxBxUH/oAICLEHFAirBxYB3QI7CAixBxQI/PAICAGACBQHsQgIqwcAAQBuAG4EQgRCACMAAAEXFhQHCQEWFA8BBiInCQEGIi8BJjQ3CQEmND8BNjIXCQE2MgOIsggI/vUBCwgIsggVB/70/vQHFQiyCAgBC/71CAiyCBUHAQwBDAcVBDuzCBUH/vT+9AcVCLIICAEL/vUICLIIFQcBDAEMBxUIsggI/vUBDAcAAwAX/+sExQSZABkAJQBJAAAAMh4CFRQHARYUDwEGIicBBiMiLgI0PgEEIg4BFB4BMj4BNCYFMzIWHQEzMhYdARQGKwEVFAYrASImPQEjIiY9ATQ2OwE1NDYBmcSzgk1OASwICG0HFQj+1HeOYrSBTU2BAW+zmFhYmLOZWFj+vJYKD0sKDw8KSw8KlgoPSwoPDwpLDwSZTYKzYo15/tUIFQhsCAgBK01NgbTEs4JNWJmzmFhYmLOZIw8KSw8KlgoPSwoPDwpLDwqWCg9LCg8AAAMAF//rBMUEmQAZACUANQAAADIeAhUUBwEWFA8BBiInAQYjIi4CND4BBCIOARQeATI+ATQmBSEyFh0BFAYjISImPQE0NgGZxLOCTU4BLAgIbQcVCP7Ud45itIFNTYEBb7OYWFiYs5lYWP5YAV4KDw8K/qIKDw8EmU2Cs2KNef7VCBUIbAgIAStNTYG0xLOCTViZs5hYWJizmYcPCpYKDw8KlgoPAAAAAAIAFwAXBJkEsAAPAC0AAAEzMhYVERQGKwEiJjURNDYFNRYSFRQOAiIuAjU0EjcVDgEVFB4BMj4BNTQmAiZkFR0dFWQVHR0BD6fSW5vW6tabW9KnZ3xyxejFcnwEsB0V/nAVHR0VAZAVHeGmPv7ZuHXWm1tbm9Z1uAEnPqY3yHh0xXJyxXR4yAAEAGQAAASwBLAADwAfAC8APwAAATMyFhURFAYrASImNRE0NgEzMhYVERQGKwEiJjURNDYBMzIWFREUBisBIiY1ETQ2BTMyFh0BFAYrASImPQE0NgQBlgoPDwqWCg8P/t6WCg8PCpYKDw/+3pYKDw8KlgoPD/7elgoPDwqWCg8PBLAPCvuCCg8PCgR+Cg/+cA8K/RIKDw8KAu4KD/7UDwr+PgoPDwoBwgoPyA8K+goPDwr6Cg8AAAAAAgAaABsElgSWAEcATwAAATIfAhYfATcWFwcXFh8CFhUUDwIGDwEXBgcnBwYPAgYjIi8CJi8BByYnNycmLwImNTQ/AjY/ASc2Nxc3Nj8CNhIiBhQWMjY0AlghKSYFMS0Fhj0rUAMZDgGYBQWYAQ8YA1AwOIYFLDIFJisfISkmBTEtBYY8LFADGQ0ClwYGlwINGQNQLzqFBS0xBSYreLJ+frJ+BJYFmAEOGQJQMDmGBSwxBiYrHiIoJgYxLAWGPSxRAxkOApcFBZcCDhkDUTA5hgUtMAYmKiAhKCYGMC0Fhj0sUAIZDgGYBf6ZfrF+frEABwBkAAAEsAUUABMAFwAhACUAKQAtADEAAAEhMhYdASEyFh0BITU0NjMhNTQ2FxUhNQERFAYjISImNREXETMRMxEzETMRMxEzETMRAfQBLCk7ARMKD/u0DwoBEzspASwBLDsp/UQpO2RkZGRkZGRkBRQ7KWQPCktLCg9kKTtkZGT+1PzgKTs7KQMgZP1EArz9RAK8/UQCvP1EArwAAQAMAAAFCATRAB8AABMBNjIXARYGKwERFAYrASImNREhERQGKwEiJjURIyImEgJsCBUHAmAIBQqvDwr6Cg/+1A8K+goPrwoFAmoCYAcH/aAICv3BCg8PCgF3/okKDw8KAj8KAAIAZAAAA+gEsAARABcAAAERFBYzIREUBiMhIiY1ETQ2MwEjIiY9AQJYOykBLB0V/OAVHR0VA1L6FR0EsP5wKTv9dhUdHRUETBUd/nAdFfoAAwAXABcEmQSZAA8AGwAwAAAAMh4CFA4CIi4CND4BBCIOARQeATI+ATQmBTMyFhURMzIWHQEUBisBIiY1ETQ2AePq1ptbW5vW6tabW1ubAb/oxXJyxejFcnL+fDIKD68KDw8K+goPDwSZW5vW6tabW1ub1urWmztyxejFcnLF6MUNDwr+7Q8KMgoPDwoBXgoPAAAAAAL/nAAABRQEsAALAA8AACkBAyMDIQEzAzMDMwEDMwMFFP3mKfIp/eYBr9EVohTQ/p4b4BsBkP5wBLD+1AEs/nD+1AEsAAAAAAIAZAAABLAEsAAVAC8AAAEzMhYVETMyFgcBBiInASY2OwERNDYBMzIWFREUBiMhIiY1ETQ2OwEyFh0BITU0NgImyBUdvxQLDf65DSYN/rkNCxS/HQJUMgoPDwr75goPDwoyCg8DhA8EsB0V/j4XEP5wEBABkBAXAcIVHfzgDwr+ogoPDwoBXgoPDwqvrwoPAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgUzMhYVETMyFgcDBiInAyY2OwERNDYB4+rWm1tbm9bq1ptbW5sBv+jFcnLF6MVycv58lgoPiRUKDd8NJg3fDQoViQ8EmVub1urWm1tbm9bq1ps7csXoxXJyxejFDQ8K/u0XEP7tEBABExAXARMKDwAAAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JiUTFgYrAREUBisBIiY1ESMiJjcTNjIB4+rWm1tbm9bq1ptbW5sBv+jFcnLF6MVycv7n3w0KFYkPCpYKD4kVCg3fDSYEmVub1urWm1tbm9bq1ps7csXoxXJyxejFAf7tEBf+7QoPDwoBExcQARMQAAAAAAIAAAAABLAEsAAZADkAABMhMhYXExYVERQGBwYjISImJyY1EzQ3Ez4BBSEiBgcDBhY7ATIWHwEeATsBMjY/AT4BOwEyNicDLgHhAu4KEwO6BwgFDBn7tAweAgYBB7kDEwKX/dQKEgJXAgwKlgoTAiYCEwr6ChMCJgITCpYKDAJXAhIEsA4K/XQYGf5XDB4CBggEDRkBqRkYAowKDsgOC/4+Cw4OCpgKDg4KmAoODgsBwgsOAAMAFwAXBJkEmQAPABsAJwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgUXFhQPAQYmNRE0NgHj6tabW1ub1urWm1tbmwG/6MVycsXoxXJy/ov9ERH9EBgYBJlbm9bq1ptbW5vW6tabO3LF6MVycsXoxV2+DCQMvgwLFQGQFQsAAQAXABcEmQSwACgAAAE3NhYVERQGIyEiJj8BJiMiDgEUHgEyPgE1MxQOAiIuAjQ+AjMyA7OHBwsPCv6WCwQHhW2BdMVycsXoxXKWW5vW6tabW1ub1nXABCSHBwQL/pYKDwsHhUxyxejFcnLFdHXWm1tbm9bq1ptbAAAAAAIAFwABBJkEsAAaADUAAAE3NhYVERQGIyEiJj8BJiMiDgEVIzQ+AjMyEzMUDgIjIicHBiY1ETQ2MyEyFg8BFjMyPgEDs4cHCw8L/pcLBAeGboF0xXKWW5vWdcDrllub1nXAnIYHCw8LAWgKBQiFboJ0xXIEJIcHBAv+lwsPCweGS3LFdHXWm1v9v3XWm1t2hggFCgFoCw8LB4VMcsUAAAAKAGQAAASwBLAADwAfAC8APwBPAF8AbwB/AI8AnwAAEyEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0NgczMhYdARQGKwEiJj0BNDYzITIWHQEUBiMhIiY9ATQ2BzMyFh0BFAYrASImPQE0NjMhMhYdARQGIyEiJj0BNDYHMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0Nn0EGgoPDwr75goPDwPA/K4KDw8KA1IKDw/9CDIKDw8KMgoPD9IBwgoPDwr+PgoPD74yCg8PCjIKDw/SAcIKDw8K/j4KDw++MgoPDwoyCg8P0gHCCg8PCv4+Cg8PvjIKDw8KMgoPD9IBwgoPDwr+PgoPDwSwDwr7ggoPDwoEfgoPyA8K/K4KDw8KA1IKD2QPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKDwAAAAACAAAAAARMBLAAGQAjAAABNTQmIyEiBh0BIyIGFREUFjMhMjY1ETQmIyE1NDY7ATIWHQEDhHVT/tRSdmQpOzspA4QpOzsp/ageFMgUHgMgyFN1dlLIOyn9qCk7OykCWCk7lhUdHRWWAAIAZAAABEwETAAJADcAABMzMhYVESMRNDYFMhcWFREUBw4DIyIuAScuAiMiBwYjIicmNRE+ATc2HgMXHgIzMjc2fTIKD2QPA8AEBRADIUNAMRwaPyonKSxHHlVLBwgGBQ4WeDsXKC4TOQQpLUUdZ1AHBEwPCvvNBDMKDzACBhH+WwYGO1AkDQ0ODg8PDzkFAwcPAbY3VwMCAwsGFAEODg5XCAAAAwAAAAAEsASXACEAMQBBAAAAMh4CFREUBisBIiY1ETQuASAOARURFAYrASImNRE0PgEDMzIWFREUBisBIiY1ETQ2ITMyFhURFAYrASImNRE0NgHk6N6jYw8KMgoPjeT++uSNDwoyCg9joyqgCAwMCKAIDAwCYKAIDAwIoAgMDASXY6PedP7UCg8PCgEsf9FyctF//tQKDw8KASx03qP9wAwI/jQIDAwIAcwIDAwI/jQIDAwIAcwIDAAAAAACAAAA0wRHA90AFQA5AAABJTYWFREUBiclJisBIiY1ETQ2OwEyBTc2Mh8BFhQPARcWFA8BBiIvAQcGIi8BJjQ/AScmND8BNjIXAUEBAgkMDAn+/hUZ+goPDwr6GQJYeAcUByIHB3h4BwciBxQHeHgHFAciBwd3dwcHIgcUBwMurAYHCv0SCgcGrA4PCgFeCg+EeAcHIgcUB3h4BxQHIgcHd3cHByIHFAd4eAcUByIICAAAAAACAAAA0wNyA90AFQAvAAABJTYWFREUBiclJisBIiY1ETQ2OwEyJTMWFxYVFAcGDwEiLwEuATc2NTQnJjY/ATYBQQECCQwMCf7+FRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcDLqwGBwr9EgoHBqwODwoBXgoPZAEJgaGafwkBAQYXBxMIZ36EaggUBxYFAAAAAAMAAADEBGID7AAbADEASwAAATMWFxYVFAYHBgcjIi8BLgE3NjU0JicmNj8BNgUlNhYVERQGJyUmKwEiJjURNDY7ATIlMxYXFhUUBwYPASIvAS4BNzY1NCcmNj8BNgPHAwsGh0RABwoDCQcqCAIGbzs3BgIJKgf9ggECCQwMCf7+FRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcD7AEJs9lpy1QJAQYiBhQIlrJarEcJFAYhBb6sBgcK/RIKBwasDg8KAV4KD2QBCYGhmn8JAQEGFwcTCGd+hGoIFQYWBQAAAAANAAAAAASwBLAACQAVABkAHQAhACUALQA7AD8AQwBHAEsATwAAATMVIxUhFSMRIQEjFTMVIREjESM1IQURIREhESERBSM1MwUjNTMBMxEhETM1MwEzFSMVIzUjNTM1IzUhBREhEQcjNTMFIzUzASM1MwUhNSEB9GRk/nBkAfQCvMjI/tTIZAJY+7QBLAGQASz84GRkArxkZP1EyP4MyGQB9MhkyGRkyAEs/UQBLGRkZAOEZGT+DGRkAfT+1AEsA4RkZGQCWP4MZMgBLAEsyGT+1AEs/tQBLMhkZGT+DP4MAfRk/tRkZGRkyGTI/tQBLMhkZGT+1GRkZAAAAAAJAAAAAASwBLAAAwAHAAsADwATABcAGwAfACMAADcjETMTIxEzASMRMxMjETMBIxEzASE1IRcjNTMXIzUzBSM1M2RkZMhkZAGQyMjIZGQBLMjI/OD+1AEsyGRkyGRkASzIyMgD6PwYA+j8GAPo/BgD6PwYA+j7UGRkW1tbW1sAAAIAAAAKBKYEsAANABUAAAkBFhQHAQYiJwETNDYzBCYiBhQWMjYB9AKqCAj+MAgUCP1WAQ8KAUM7Uzs7UzsEsP1WCBQI/jAICAKqAdsKD807O1Q7OwAAAAADAAAACgXSBLAADQAZACEAAAkBFhQHAQYiJwETNDYzIQEWFAcBBiIvAQkBBCYiBhQWMjYB9AKqCAj+MAgUCP1WAQ8KAwYCqggI/jAIFAg4Aaj9RP7TO1M7O1M7BLD9VggUCP4wCAgCqgHbCg/9VggUCP4wCAg4AaoCvM07O1Q7OwAAAAABAGQAAASwBLAAJgAAASEyFREUDwEGJjURNCYjISIPAQYWMyEyFhURFAYjISImNRE0PwE2ASwDOUsSQAgKDwr9RBkSQAgFCgK8Cg8PCvyuCg8SixIEsEv8fBkSQAgFCgO2Cg8SQAgKDwr8SgoPDwoDzxkSixIAAAABAMj//wRMBLAACgAAEyEyFhURCQERNDb6AyAVHf4+/j4dBLAdFfuCAbz+QwR/FR0AAAAAAwAAAAAEsASwABUARQBVAAABISIGBwMGHwEeATMhMjY/ATYnAy4BASMiBg8BDgEjISImLwEuASsBIgYVERQWOwEyNj0BNDYzITIWHQEUFjsBMjY1ETQmASEiBg8BBhYzITI2LwEuAQM2/kQLEAFOBw45BhcKAcIKFwY+DgdTARABVpYKFgROBBYK/doKFgROBBYKlgoPDwqWCg8PCgLuCg8PCpYKDw/+sf4MChMCJgILCgJYCgsCJgITBLAPCv7TGBVsCQwMCWwVGAEtCg/+cA0JnAkNDQmcCQ0PCv12Cg8PCpYKDw8KlgoPDwoCigoP/agOCpgKDg4KmAoOAAAAAAQAAABkBLAETAAdACEAKQAxAAABMzIeAh8BMzIWFREUBiMhIiY1ETQ2OwE+BAEVMzUEIgYUFjI2NCQyFhQGIiY0AfTIOF00JAcGlik7Oyn8GCk7OymWAgknM10ByGT+z76Hh76H/u9WPDxWPARMKTs7FRQ7Kf2oKTs7KQJYKTsIG0U1K/7UZGRGh76Hh74IPFY8PFYAAAAAAgA1AAAEsASvACAAIwAACQEWFx4BHwEVITUyNi8BIQYHBh4CMxUhNTY3PgE/AQEDIQMCqQGBFCgSJQkK/l81LBFS/nk6IgsJKjIe/pM4HAwaBwcBj6wBVKIEr/waMioTFQECQkJXLd6RWSIuHAxCQhgcDCUNDQPu/VoByQAAAAADAGQAAAPwBLAAJwAyADsAAAEeBhUUDgMjITU+ATURNC4EJzUFMh4CFRQOAgclMzI2NTQuAisBETMyNjU0JisBAvEFEzUwOyodN1htbDD+DCk7AQYLFyEaAdc5dWM+Hy0tEP6Pi05pESpTPnbYUFJ9Xp8CgQEHGB0zOlIuQ3VONxpZBzMoAzsYFBwLEAkHRwEpSXNDM1s6KwkxYUopOzQb/K5lUFqBAAABAMgAAANvBLAAGQAAARcOAQcDBhYXFSE1NjcTNjQuBCcmJzUDbQJTQgeECSxK/gy6Dq0DAw8MHxUXDQYEsDkTNSj8uTEoBmFhEFIDQBEaExAJCwYHAwI5AAAAAAL/tQAABRQEsAAlAC8AAAEjNC4FKwERFBYfARUhNTI+AzURIyIOBRUjESEFIxEzByczESM3BRQyCAsZEyYYGcgyGRn+cAQOIhoWyBkYJhMZCwgyA+j7m0tLfX1LS30DhBUgFQ4IAwH8rhYZAQJkZAEFCRUOA1IBAwgOFSAVASzI/OCnpwMgpwACACH/tQSPBLAAJQAvAAABIzQuBSsBERQWHwEVITUyPgM1ESMiDgUVIxEhEwc1IRUnNxUhNQRMMggLGRMmGBnIMhkZ/nAEDiIaFsgZGCYTGQsIMgPoQ6f84KenAyADhBUgFQ4IAwH9dhYZAQJkZAEFCRUOAooBAwgOFSAVASz7gn1LS319S0sABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyAlgVHR0V/agVHR0VA+gVHR0V/BgVHR0VAyAVHR0V/OAVHR0VBEwVHR0V+7QVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYDITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NgMhMhYdARQGIyEiJj0BNDb6ArwVHR0V/UQVHR2zBEwVHR0V+7QVHR3dArwVHR0V/UQVHR2zBEwVHR0V+7QVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AAAE1NDYzITIWHQEUBiMhIiYBNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJgE1NDYzITIWHQEUBiMhIiYB9B0VAlgVHR0V/agVHf5wHRUD6BUdHRX8GBUdyB0VAyAVHR0V/OAVHf7UHRUETBUdHRX7tBUdA7ZkFR0dFWQVHR3+6WQVHR0VZBUdHf7pZBUdHRVkFR0d/ulkFR0dFWQVHR0AAAQAAAAABLAETAAPAB8ALwA/AAATITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2MgRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dBEwdFWQVHR0VZBUd/tQdFWQVHR0VZBUd/tQdFWQVHR0VZBUd/tQdFWQVHR0VZBUdAAgAAAAABLAETAAPAB8ALwA/AE8AXwBvAH8AABMzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2MmQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR0ETB0VZBUdHRVkFR0dFWQVHR0VZBUd/tQdFWQVHR0VZBUdHRVkFR0dFWQVHf7UHRVkFR0dFWQVHR0VZBUdHRVkFR3+1B0VZBUdHRVkFR0dFWQVHR0VZBUdAAAG/5wAAASwBEwAAwATACMAKgA6AEoAACEjETsCMhYdARQGKwEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2BQc1IzUzNQUhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2AZBkZJZkFR0dFWQVHR0VAfQVHR0V/gwVHR3++qfIyAHCASwVHR0V/tQVHR0VAlgVHR0V/agVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR36fUtkS68dFWQVHR0VZBUd/tQdFWQVHR0VZBUdAAAABgAAAAAFFARMAA8AEwAjACoAOgBKAAATMzIWHQEUBisBIiY9ATQ2ASMRMwEhMhYdARQGIyEiJj0BNDYFMxUjFSc3BSEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyZBUdHRVkFR0dA2dkZPyuAfQVHR0V/gwVHR0EL8jIp6f75gEsFR0dFf7UFR0dFQJYFR0dFf2oFR0dBEwdFWQVHR0VZBUd+7QETP7UHRVkFR0dFWQVHchkS319rx0VZBUdHRVkFR3+1B0VZBUdHRVkFR0AAAAAAgAAAMgEsAPoAA8AEgAAEyEyFhURFAYjISImNRE0NgkCSwLuHywsH/0SHywsBIT+1AEsA+gsH/12HywsHwKKHyz9RAEsASwAAwAAAAAEsARMAA8AFwAfAAATITIWFREUBiMhIiY1ETQ2FxE3BScBExEEMhYUBiImNCwEWBIaGhL7qBIaGkr3ASpKASXs/NJwTk5wTgRMGhL8DBIaGhID9BIaZP0ftoOcAT7+4AH0dE5vT09vAAAAAAIA2wAFBDYEkQAWAB4AAAEyHgEVFAcOAQ8BLgQnJjU0PgIWIgYUFjI2NAKIdcZzRkWyNjYJIV5YbSk8RHOft7eCgreCBJF4ynVzj23pPz4IIWZomEiEdVijeUjDgriBgbgAAAACABcAFwSZBJkADwAXAAAAMh4CFA4CIi4CND4BAREiDgEUHgEB4+rWm1tbm9bq1ptbW5sBS3TFcnLFBJlbm9bq1ptbW5vW6tab/G8DVnLF6MVyAAACAHUAAwPfBQ8AGgA1AAABHgYVFA4DBy4DNTQ+BQMOAhceBBcWNj8BNiYnLgInJjc2IyYCKhVJT1dOPiUzVnB9P1SbfEokP0xXUEm8FykoAwEbITEcExUWAgYCCQkFEikMGiACCAgFD0iPdXdzdYdFR4BeRiYEBTpjl1lFh3ZzeHaQ/f4hS4I6JUEnIw4IBwwQIgoYBwQQQSlZtgsBAAAAAwAAAAAEywRsAAwAKgAvAAABNz4CHgEXHgEPAiUhMhcHISIGFREUFjMhMjY9ATcRFAYjISImNRE0NgkBBzcBA+hsAgYUFR0OFgoFBmz9BQGQMje7/pApOzspAfQpO8i7o/5wpbm5Azj+lqE3AWMD9XMBAgIEDw4WKgsKc8gNuzsp/gwpOzsptsj+tKW5uaUBkKW5/tf+ljKqAWMAAgAAAAAEkwRMABsANgAAASEGByMiBhURFBYzITI2NTcVFAYjISImNRE0NgUBFhQHAQYmJzUmDgMHPgY3NT4BAV4BaaQ0wyk7OykB9Ck7yLml/nClubkCfwFTCAj+rAcLARo5ZFRYGgouOUlARioTAQsETJI2Oyn+DCk7OymZZ6W5uaUBkKW5G/7TBxUH/s4GBAnLAQINFjAhO2JBNB0UBwHSCgUAAAAAAgAAAAAEnQRMAB0ANQAAASEyFwchIgYVERQWMyEyNj0BNxUUBiMhIiY1ETQ2CQE2Mh8BFhQHAQYiLwEmND8BNjIfARYyAV4BXjxDsv6jKTs7KQH0KTvIuaX+cKW5uQHKAYsHFQdlBwf97QcVB/gHB2UHFQdvCBQETBexOyn+DCk7OylFyNulubmlAZCluf4zAYsHB2UHFQf97AcH+AcVB2UHB28HAAAAAQAKAAoEpgSmADsAAAkBNjIXARYGKwEVMzU0NhcBFhQHAQYmPQEjFTMyFgcBBiInASY2OwE1IxUUBicBJjQ3ATYWHQEzNSMiJgE+AQgIFAgBBAcFCqrICggBCAgI/vgICsiqCgUH/vwIFAj++AgFCq/ICgj++AgIAQgICsivCgUDlgEICAj++AgKyK0KBAf+/AcVB/73BwQKrcgKCP74CAgBCAgKyK0KBAcBCQcVBwEEBwQKrcgKAAEAyAAAA4QETAAZAAATMzIWFREBNhYVERQGJwERFAYrASImNRE0NvpkFR0B0A8VFQ/+MB0VZBUdHQRMHRX+SgHFDggV/BgVCA4Bxf5KFR0dFQPoFR0AAAABAAAAAASwBEwAIwAAEzMyFhURATYWFREBNhYVERQGJwERFAYnAREUBisBIiY1ETQ2MmQVHQHQDxUB0A8VFQ/+MBUP/jAdFWQVHR0ETB0V/koBxQ4IFf5KAcUOCBX8GBUIDgHF/koVCA4Bxf5KFR0dFQPoFR0AAAABAJ0AGQSwBDMAFQAAAREUBicBERQGJwEmNDcBNhYVEQE2FgSwFQ/+MBUP/hQPDwHsDxUB0A8VBBr8GBUIDgHF/koVCA4B4A4qDgHgDggV/koBxQ4IAAAAAQDIABYEMwQ2AAsAABMBFhQHAQYmNRE0NvMDLhIS/NISGRkEMv4OCx4L/g4LDhUD6BUOAAIAyABkA4QD6AAPAB8AABMzMhYVERQGKwEiJjURNDYhMzIWFREUBisBIiY1ETQ2+sgVHR0VyBUdHQGlyBUdHRXIFR0dA+gdFfzgFR0dFQMgFR0dFfzgFR0dFQMgFR0AAAEAyABkBEwD6AAPAAABERQGIyEiJjURNDYzITIWBEwdFfzgFR0dFQMgFR0DtvzgFR0dFQMgFR0dAAAAAAEAAAAZBBMEMwAVAAABETQ2FwEWFAcBBiY1EQEGJjURNDYXAfQVDwHsDw/+FA8V/jAPFRUPAmQBthUIDv4gDioO/iAOCBUBtv47DggVA+gVCA4AAAH//gACBLMETwAjAAABNzIWFRMUBiMHIiY1AwEGJjUDAQYmNQM0NhcBAzQ2FwEDNDYEGGQUHgUdFWQVHQL+MQ4VAv4yDxUFFQ8B0gIVDwHSAh0ETgEdFfwYFR0BHRUBtf46DwkVAbX+OQ4JFAPoFQkP/j4BthQJDv49AbYVHQAAAQEsAAAD6ARMABkAAAEzMhYVERQGKwEiJjURAQYmNRE0NhcBETQ2A1JkFR0dFWQVHf4wDxUVDwHQHQRMHRX8GBUdHRUBtv47DggVA+gVCA7+OwG2FR0AAAIAZADIBLAESAALABsAAAkBFgYjISImNwE2MgEhMhYdARQGIyEiJj0BNDYCrgH1DwkW++4WCQ8B9Q8q/fcD6BUdHRX8GBUdHQQ5/eQPFhYPAhwP/UgdFWQVHR0VZBUdAAEAiP/8A3UESgAFAAAJAgcJAQN1/qABYMX92AIoA4T+n/6fxgIoAiYAAAAAAQE7//wEKARKAAUAAAkBJwkBNwQo/dnGAWH+n8YCI/3ZxgFhAWHGAAIAFwAXBJkEmQAPADMAAAAyHgIUDgIiLgI0PgEFIyIGHQEjIgYdARQWOwEVFBY7ATI2PQEzMjY9ATQmKwE1NCYB4+rWm1tbm9bq1ptbW5sBfWQVHZYVHR0Vlh0VZBUdlhUdHRWWHQSZW5vW6tabW1ub1urWm7odFZYdFWQVHZYVHR0Vlh0VZBUdlhUdAAAAAAIAFwAXBJkEmQAPAB8AAAAyHgIUDgIiLgI0PgEBISIGHQEUFjMhMjY9ATQmAePq1ptbW5vW6tabW1ubAkX+DBUdHRUB9BUdHQSZW5vW6tabW1ub1urWm/5+HRVkFR0dFWQVHQACABcAFwSZBJkADwAzAAAAMh4CFA4CIi4CND4BBCIPAScmIg8BBhQfAQcGFB8BFjI/ARcWMj8BNjQvATc2NC8BAePq1ptbW5vW6tabW1ubAeUZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0JCXh4CQmNBJlbm9bq1ptbW5vW6tabrQl4eAkJjQkZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0AAgAXABcEmQSZAA8AJAAAADIeAhQOAiIuAjQ+AQEnJiIPAQYUHwEWMjcBNjQvASYiBwHj6tabW1ub1urWm1tbmwEVVAcVCIsHB/IHFQcBdwcHiwcVBwSZW5vW6tabW1ub1urWm/4xVQcHiwgUCPEICAF3BxUIiwcHAAAAAAMAFwAXBJkEmQAPADsASwAAADIeAhQOAiIuAjQ+AQUiDgMVFDsBFjc+ATMyFhUUBgciDgUHBhY7ATI+AzU0LgMTIyIGHQEUFjsBMjY9ATQmAePq1ptbW5vW6tabW1ubAT8dPEIyIRSDHgUGHR8UFw4TARkOGhITDAIBDQ6tBx4oIxgiM0Q8OpYKDw8KlgoPDwSZW5vW6tabW1ub1urWm5ELHi9PMhkFEBQQFRIXFgcIBw4UHCoZCBEQKDhcNi9IKhsJ/eMPCpYKDw8KlgoPAAADABcAFwSZBJkADwAfAD4AAAAyHgIUDgIiLgI0PgEFIyIGHQEUFjsBMjY9ATQmAyMiBh0BFBY7ARUjIgYdARQWMyEyNj0BNCYrARE0JgHj6tabW1ub1urWm1tbmwGWlgoPDwqWCg8PCvoKDw8KS0sKDw8KAV4KDw8KSw8EmVub1urWm1tbm9bq1ptWDwqWCg8PCpYKD/7UDwoyCg/IDwoyCg8PCjIKDwETCg8AAgAAAAAEsASwAC8AXwAAATMyFh0BHgEXMzIWHQEUBisBDgEHFRQGKwEiJj0BLgEnIyImPQE0NjsBPgE3NTQ2ExUUBisBIiY9AQ4BBzMyFh0BFAYrAR4BFzU0NjsBMhYdAT4BNyMiJj0BNDY7AS4BAg2WCg9nlxvCCg8PCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw+5DwqWCg9EZheoCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmBLAPCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw8KlgoPZ5cbwgoP/s2oCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmRA8KlgoPRGYAAwAXABcEmQSZAA8AGwA/AAAAMh4CFA4CIi4CND4BBCIOARQeATI+ATQmBxcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyAePq1ptbW5vW6tabW1ubAb/oxXJyxejFcnKaQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwdABxUHfHwHFQSZW5vW6tabW1ub1urWmztyxejFcnLF6MVaQAcVB3x8BxUHQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwAAAAMAFwAXBJkEmQAPABsAMAAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgcXFhQHAQYiLwEmND8BNjIfATc2MgHj6tabW1ub1urWm1tbmwG/6MVycsXoxXJyg2oHB/7ACBQIyggIagcVB0/FBxUEmVub1urWm1tbm9bq1ps7csXoxXJyxejFfWoHFQf+vwcHywcVB2oICE/FBwAAAAMAFwAXBJkEmQAPABgAIQAAADIeAhQOAiIuAjQ+AQUiDgEVFBcBJhcBFjMyPgE1NAHj6tabW1ub1urWm1tbmwFLdMVyQQJLafX9uGhzdMVyBJlbm9bq1ptbW5vW6tabO3LFdHhpAktB0P24PnLFdHMAAAAAAQAXAFMEsAP5ABUAABMBNhYVESEyFh0BFAYjIREUBicBJjQnAgoQFwImFR0dFf3aFxD99hACRgGrDQoV/t0dFcgVHf7dFQoNAasNJgAAAAABAAAAUwSZA/kAFQAACQEWFAcBBiY1ESEiJj0BNDYzIRE0NgJ/AgoQEP32EBf92hUdHRUCJhcD8f5VDSYN/lUNChUBIx0VyBUdASMVCgAAAAEAtwAABF0EmQAVAAAJARYGIyERFAYrASImNREhIiY3ATYyAqoBqw0KFf7dHRXIFR3+3RUKDQGrDSYEif32EBf92hUdHRUCJhcQAgoQAAAAAQC3ABcEXQSwABUAAAEzMhYVESEyFgcBBiInASY2MyERNDYCJsgVHQEjFQoN/lUNJg3+VQ0KFQEjHQSwHRX92hcQ/fYQEAIKEBcCJhUdAAABAAAAtwSZBF0AFwAACQEWFAcBBiY1EQ4DBz4ENxE0NgJ/AgoQEP32EBdesKWBJAUsW4fHfhcEVf5VDSYN/lUNChUBIwIkRHVNabGdcUYHAQYVCgACAAAAAASwBLAAFQArAAABITIWFREUBi8BBwYiLwEmND8BJyY2ASEiJjURNDYfATc2Mh8BFhQPARcWBgNSASwVHRUOXvkIFAhqBwf5Xg4I/iH+1BUdFQ5e+QgUCGoHB/leDggEsB0V/tQVCA5e+QcHaggUCPleDhX7UB0VASwVCA5e+QcHaggUCPleDhUAAAACAEkASQRnBGcAFQArAAABFxYUDwEXFgYjISImNRE0Nh8BNzYyASEyFhURFAYvAQcGIi8BJjQ/AScmNgP2agcH+V4OCBX+1BUdFQ5e+QgU/QwBLBUdFQ5e+QgUCGoHB/leDggEYGoIFAj5Xg4VHRUBLBUIDl75B/3xHRX+1BUIDl75BwdqCBQI+V4OFQAAAAADABcAFwSZBJkADwAfAC8AAAAyHgIUDgIiLgI0PgEFIyIGFxMeATsBMjY3EzYmAyMiBh0BFBY7ATI2PQE0JgHj6tabW1ub1urWm1tbmwGz0BQYBDoEIxQ2FCMEOgQYMZYKDw8KlgoPDwSZW5vW6tabW1ub1urWm7odFP7SFB0dFAEuFB3+DA8KlgoPDwqWCg8AAAAABQAAAAAEsASwAEkAVQBhAGgAbwAAATIWHwEWHwEWFxY3Nj8BNjc2MzIWHwEWHwIeATsBMhYdARQGKwEiBh0BIREjESE1NCYrASImPQE0NjsBMjY1ND8BNjc+BAUHBhY7ATI2LwEuAQUnJgYPAQYWOwEyNhMhIiY1ESkBERQGIyERAQQJFAUFFhbEFQ8dCAsmxBYXERUXMA0NDgQZCAEPCj0KDw8KMgoP/nDI/nAPCjIKDw8KPQsOCRkFDgIGFRYfAp2mBwQK2woKAzMDEP41sQgQAzMDCgrnCwMe/okKDwGQAlgPCv6JBLAEAgIKDXYNCxUJDRZ2DQoHIREQFRh7LAkLDwoyCg8PCq8BLP7UrwoPDwoyCg8GBQQwgBkUAwgWEQ55ogcKDgqVCgSqnQcECo8KDgr8cg8KAXf+iQoPAZAAAAAAAgAAAAwErwSmACsASQAAATYWFQYCDgQuAScmByYOAQ8BBiY1NDc+ATc+AScuAT4BNz4GFyYGBw4BDwEOBAcOARY2Nz4CNz4DNz4BBI0IGgItQmxhi2KORDg9EQQRMxuZGhYqCFUYEyADCQIQOjEnUmFch3vAJQgdHyaiPT44XHRZUhcYDhItIRmKcVtGYWtbKRYEBKYDEwiy/t3IlVgxEQgLCwwBAQIbG5kYEyJAJghKFRE8Hzdff4U/M0o1JSMbL0QJGCYvcSEhHjZST2c1ODwEJygeW0AxJUBff1UyFAABAF0AHgRyBM8ATwAAAQ4BHgQXLgc+ATceAwYHDgQHBicmNzY3PgQuAScWDgMmJy4BJyY+BDcGHgM3PgEuAicmPgMCjScfCic4R0IgBBsKGAoQAwEJEg5gikggBhANPkpTPhZINx8SBgsNJysiCRZOQQoVNU1bYC9QZwICBAUWITsoCAYdJzIYHw8YIiYHDyJJYlkEz0OAZVxEOSQMBzgXOB42IzElKRIqg5Gnl0o3Z0c6IAYWCwYNAwQFIDhHXGF1OWiqb0sdBxUknF0XNTQ8PEUiNWNROBYJDS5AQVUhVZloUSkAAAAAA//cAGoE1ARGABsAPwBRAAAAMh4FFA4FIi4FND4EBSYGFxYVFAYiJjU0NzYmBwYHDgEXHgQyPgM3NiYnJgUHDgEXFhcWNj8BNiYnJicuAQIGpJ17bk85HBw6T257naKde25POhwcOU9uewIPDwYIGbD4sBcIBw5GWg0ECxYyWl+DiINfWjIWCwQMWv3/Iw8JCSU4EC0OIw4DDywtCyIERi1JXGJcSSpJXGJcSS0tSVxiXEkqSVxiXEncDwYTOT58sLB8OzcTBg9FcxAxEiRGXkQxMEVeRSQSMRF1HiQPLxJEMA0EDyIPJQ8sSRIEAAAABP/cAAAE1ASwABQAJwA7AEwAACEjNy4ENTQ+BTMyFzczEzceARUUDgMHNz4BNzYmJyYlBgcOARceBBc3LgE1NDc2JhcHDgEXFhcWNj8CJyYnLgECUJQfW6l2WSwcOU9ue51SPUEglCYvbIknUGqYUi5NdiYLBAw2/VFGWg0ECxIqSExoNSlrjxcIB3wjDwkJJTgQLQ4MFgMsLQsieBRhdHpiGxVJXGJcSS0Pef5StVXWNBpacm5jGq0xiD8SMRFGckVzEDESHjxRQTkNmhKnbjs3EwZwJA8vEkQwDQQPC1YELEkSBAAAAAP/ngAABRIEqwALABgAKAAAJwE2FhcBFgYjISImJSE1NDY7ATIWHQEhAQczMhYPAQ4BKwEiJi8BJjZaAoIUOBQCghUbJfryJRsBCgFZDwqWCg8BWf5DaNAUGAQ6BCMUNhQjBDoEGGQEKh8FIfvgIEdEhEsKDw8KSwLT3x0U/BQdHRT8FB0AAAABAGQAFQSwBLAAKAAAADIWFREBHgEdARQGJyURFh0BFAYvAQcGJj0BNDcRBQYmPQE0NjcBETQCTHxYAWsPFhgR/plkGhPNzRMaZP6ZERgWDwFrBLBYPv6t/rsOMRQpFA0M+f75XRRAFRAJgIAJEBVAFF0BB/kMDRQpFDEOAUUBUz4AAAARAAAAAARMBLAAHQAnACsALwAzADcAOwA/AEMARwBLAE8AUwBXAFsAXwBjAAABMzIWHQEzMhYdASE1NDY7ATU0NjsBMhYdASE1NDYBERQGIyEiJjURFxUzNTMVMzUzFTM1MxUzNTMVMzUFFTM1MxUzNTMVMzUzFTM1MxUzNQUVMzUzFTM1MxUzNTMVMzUzFTM1A1JkFR0yFR37tB0VMh0VZBUdAfQdAQ8dFfwYFR1kZGRkZGRkZGRk/HxkZGRkZGRkZGT8fGRkZGRkZGRkZASwHRUyHRWWlhUdMhUdHRUyMhUd/nD9EhUdHRUC7shkZGRkZGRkZGRkyGRkZGRkZGRkZGTIZGRkZGRkZGRkZAAAAAMAAAAZBXcElwAZACUANwAAARcWFA8BBiY9ASMBISImPQE0NjsBATM1NDYBBycjIiY9ATQ2MyEBFxYUDwEGJj0BIyc3FzM1NDYEb/kPD/kOFZ/9qP7dFR0dFdECWPEV/amNetEVHR0VASMDGvkPD/kOFfG1jXqfFQSN5g4qDuYOCBWW/agdFWQVHQJYlhUI/piNeh0VZBUd/k3mDioO5g4IFZa1jXqWFQgAAAABAAAAAASwBEwAEgAAEyEyFhURFAYjIQERIyImNRE0NmQD6Ck7Oyn9rP7QZCk7OwRMOyn9qCk7/tQBLDspAlgpOwAAAAMAZAAABEwEsAAJABMAPwAAEzMyFh0BITU0NiEzMhYdASE1NDYBERQOBSIuBTURIRUUFRwBHgYyPgYmNTQ9AZbIFR3+1B0C0cgVHf7UHQEPBhgoTGacwJxmTCgYBgEsAwcNFB8nNkI2Jx8TDwUFAQSwHRX6+hUdHRX6+hUd/nD+1ClJalZcPigoPlxWakkpASz6CRIVKyclIRsWEAgJEBccISUnKhURCPoAAAAB//8A1ARMA8IABQAAAQcJAScBBEzG/p/+n8UCJwGbxwFh/p/HAicAAQAAAO4ETQPcAAUAAAkCNwkBBE392v3ZxgFhAWEDFf3ZAifH/p8BYQAAAAAC/1EAZAVfA+gAFAApAAABITIWFREzMhYPAQYiLwEmNjsBESElFxYGKwERIRchIiY1ESMiJj8BNjIBlALqFR2WFQgO5g4qDuYOCBWW/oP+HOYOCBWWAYHX/RIVHZYVCA7mDioD6B0V/dkVDvkPD/kOFQGRuPkOFf5wyB0VAiYVDvkPAAABAAYAAASeBLAAMAAAEzMyFh8BITIWBwMOASMhFyEyFhQGKwEVFAYiJj0BIRUUBiImPQEjIiYvAQMjIiY0NjheERwEJgOAGB4FZAUsIf2HMAIXFR0dFTIdKh3+1B0qHR8SHQYFyTYUHh4EsBYQoiUY/iUVK8gdKh0yFR0dFTIyFR0dFTIUCQoDwR0qHQAAAAACAAAAAASwBEwACwAPAAABFSE1MzQ2MyEyFhUFIREhBLD7UMg7KQEsKTv9RASw+1AD6GRkKTs7Kcj84AACAAAAAAXcBEwADAAQAAATAxEzNDYzITIWFSEVBQEhAcjIyDspASwqOgH0ASz+1PtQASwDIP5wAlgpOzspyGT9RAK8AAEBRQAAA2sErwAbAAABFxYGKwERMzIWDwEGIi8BJjY7AREjIiY/ATYyAnvmDggVlpYVCA7mDioO5g4IFZaWFQgO5g4qBKD5DhX9pxUO+Q8P+Q4VAlkVDvkPAAAAAQABAUQErwNrABsAAAEXFhQPAQYmPQEhFRQGLwEmND8BNhYdASE1NDYDqPkODvkPFf2oFQ/5Dg75DxUCWBUDYOUPKQ/lDwkUl5cUCQ/lDykP5Q8JFZWVFQkAAAAEAAAAAASwBLAACQAZAB0AIQAAAQMuASMhIgYHAwUhIgYdARQWMyEyNj0BNCYFNTMVMzUzFQSRrAUkFP1gFCQFrAQt/BgpOzspA+gpOzv+q2RkZAGQAtwXLSgV/R1kOylkKTs7KWQpO8hkZGRkAAAAA/+cAGQEsARMAAsAIwAxAAAAMhYVERQGIiY1ETQDJSMTFgYjIisBIiYnAj0BNDU0PgE7ASUBFSIuAz0BND4CNwRpKh0dKh1k/V0mLwMRFQUCVBQdBDcCCwzIAqP8GAQOIhoWFR0dCwRMHRX8rhUdHRUDUhX8mcj+7BAIHBUBUQ76AgQQDw36/tT6AQsTKRwyGigUDAEAAAACAEoAAARmBLAALAA1AAABMzIWDwEeARcTFzMyFhQGBw4EIyIuBC8BLgE0NjsBNxM+ATcnJjYDFjMyNw4BIiYCKV4UEgYSU3oPP3YRExwaEggeZGqfTzl0XFU+LwwLEhocExF2Pw96UxIGEyQyNDUxDDdGOASwFRMlE39N/rmtHSkoBwQLHBYSCg4REg4FBAgoKR2tAUdNfhQgExr7vgYGMT09AAEAFAAUBJwEnAAXAAABNwcXBxcHFycHJwcnBzcnNyc3Jxc3FzcDIOBO6rS06k7gLZubLeBO6rS06k7gLZubA7JO4C2bmy3gTuq0tOpO4C2bmy3gTuq0tAADAAAAZASwBLAAIQAtAD0AAAEzMhYdAQchMhYdARQHAw4BKwEiJi8BIyImNRE0PwI+ARcPAREzFzMTNSE3NQEzMhYVERQGKwEiJjURNDYCijIoPBwBSCg8He4QLBf6B0YfHz0tNxSRYA0xG2SWZIjW+v4+Mv12ZBUdHRVkFR0dBLBRLJZ9USxkLR3+qBghMhkZJCcBkCQbxMYcKGTU1f6JZAF3feGv/tQdFf4MFR0dFQH0FR0AAAAAAwAAAAAEsARMACAAMAA8AAABMzIWFxMWHQEUBiMhFh0BFAYrASImLwImNRE0NjsBNgUzMhYVERQGKwEiJjURNDYhByMRHwEzNSchNQMCWPoXLBDuHTwo/rgcPCgyGzENYJEUNy09fP3pZBUdHRVkFR0dAl+IZJZkMjIBwvoETCEY/qgdLWQsUXYHlixRKBzGxBskAZAnJGRkHRX+DBUdHRUB9BUdZP6J1dSv4X0BdwADAAAAZAUOBE8AGwA3AEcAAAElNh8BHgEPASEyFhQGKwEDDgEjISImNRE0NjcXERchEz4BOwEyNiYjISoDLgQnJj8BJwUzMhYVERQGKwEiJjURNDYBZAFrHxZuDQEMVAEuVGxuVGqDBhsP/qoHphwOOmQBJYMGGw/LFRMSFv44AgoCCQMHAwUDAQwRklb9T2QVHR0VZBUdHQNp5hAWcA0mD3lMkE7+rRUoog0CDRElCkj+CVkBUxUoMjIBAgIDBQIZFrdT5B0V/gwVHR0VAfQVHQAAAAP/nABkBLAETwAdADYARgAAAQUeBBURFAYjISImJwMjIiY0NjMhJyY2PwE2BxcWBw4FKgIjIRUzMhYXEyE3ESUFMzIWFREUBisBIiY1ETQ2AdsBbgIIFBANrAf+qg8bBoNqVW1sVAEuVQsBDW4WSpIRDAIDBQMHAwkDCgH+Jd0PHAaCASZq/qoCUGQVHR0VZBUdHQRP5gEFEBEXC/3zDaIoFQFTTpBMeQ8mDXAWrrcWGQIFAwICAWQoFf6tWQH37OQdFf4MFR0dFQH0FR0AAAADAGEAAARMBQ4AGwA3AEcAAAAyFh0BBR4BFREUBiMhIiYvAQMmPwE+AR8BETQXNTQmBhURHAMOBAcGLwEHEyE3ESUuAQMhMhYdARQGIyEiJj0BNDYB3pBOAVMVKKIN/fMRJQoJ5hAWcA0mD3nGMjIBAgIDBQIZFrdT7AH3Wf6tFSiWAfQVHR0V/gwVHR0FDm5UaoMGGw/+qgemHA4OAWsfFm4NAQxUAS5U1ssVExIW/jgCCgIJAwcDBQMBDBGSVv6tZAElgwYb/QsdFWQVHR0VZBUdAAP//QAGA+gFFAAPAC0ASQAAASEyNj0BNCYjISIGHQEUFgEVFAYiJjURBwYmLwEmNxM+BDMhMhYVERQGBwEDFzc2Fx4FHAIVERQWNj0BNDY3JREnAV4B9BUdHRX+DBUdHQEPTpBMeQ8mDXAWEOYBBRARFwsCDQ2iKBX9iexTtxYZAgUDAgIBMjIoFQFTWQRMHRVkFR0dFWQVHfzmalRubFQBLlQMAQ1uFh8BawIIEw8Mpgf+qg8bBgHP/q1WkhEMAQMFAwcDCQIKAv44FhITFcsPGwaDASVkAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBJSYGHQEhIgYdARQWMyEVFBY3JTY0AeLs1ptbW5vW7NabW1ubAob+7RAX/u0KDw8KARMXEAETEASaW5vW7NabW1ub1uzWm/453w0KFYkPCpYKD4kVCg3fDSYAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgENAQYUFwUWNj0BITI2PQE0JiMhNTQmAeLs1ptbW5vW7NabW1ubASX+7RAQARMQFwETCg8PCv7tFwSaW5vW7NabW1ub1uzWm+jfDSYN3w0KFYkPCpYKD4kVCgAAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBAyYiBwMGFjsBERQWOwEyNjURMzI2AeLs1ptbW5vW7NabW1ubAkvfDSYN3w0KFYkPCpYKD4kVCgSaW5vW7NabW1ub1uzWm/5AARMQEP7tEBf+7QoPDwoBExcAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEFIyIGFREjIgYXExYyNxM2JisBETQmAeLs1ptbW5vW7NabW1ubAZeWCg+JFQoN3w0mDd8NChWJDwSaW5vW7NabW1ub1uzWm7sPCv7tFxD+7RAQARMQFwETCg8AAAMAGAAYBJgEmAAPAJYApgAAADIeAhQOAiIuAjQ+ASUOAwcGJgcOAQcGFgcOAQcGFgcUFgcyHgEXHgIXHgI3Fg4BFx4CFxQGFBcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQYHBicmNzY3HgIXHgMfAT4CJyY+ATc+AzcmNzIWMjY3LgMnND4CJiceAT8BNi4CJwYHFB4BFS4CJz4BNxYyPgEB5OjVm1xcm9Xo1ZtcXJsBZA8rHDoKDz0PFD8DAxMBAzEFCRwGIgEMFhkHECIvCxU/OR0HFBkDDRQjEwcFaHUeISQDDTAMD0UREi4oLBAzDwQBBikEAQMLGhIXExMLBhAGKBsGBxYVEwYFAgsFAwMNFwQGCQcYFgYQCCARFwkKKiFBCwQCAQMDHzcLDAUdLDgNEiEQEgg/KhADGgMKEgoRBJhcm9Xo1ZtcXJvV6NWbEQwRBwkCAwYFBycPCxcHInIWInYcCUcYChQECA4QBAkuHgQPJioRFRscBAcSCgwCch0kPiAIAQcHEAsBAgsLIxcBMQENCQIPHxkCFBkdHB4QBgEBBwoMGBENBAMMJSAQEhYXDQ4qFBkKEhIDCQsXJxQiBgEOCQwHAQ0DBAUcJAwSCwRnETIoAwEJCwsLJQcKDBEAAAAAAQAAAAIErwSFABYAAAE2FwUXNxYGBw4BJwEGIi8BJjQ3ASY2AvSkjv79kfsGUE08hjv9rA8rD28PDwJYIk8EhVxliuh+WYcrIgsW/awQEG4PKxACV2XJAAYAAABgBLAErAAPABMAIwAnADcAOwAAEyEyFh0BFAYjISImPQE0NgUjFTMFITIWHQEUBiMhIiY9ATQ2BSEVIQUhMhYdARQGIyEiJj0BNDYFIRUhZAPoKTs7KfwYKTs7BBHIyPwYA+gpOzsp/BgpOzsEEf4MAfT8GAPoKTs7KfwYKTs7BBH+1AEsBKw7KWQpOzspZCk7ZGTIOylkKTs7KWQpO2RkyDspZCk7OylkKTtkZAAAAAIAZAAABEwEsAALABEAABMhMhYUBiMhIiY0NgERBxEBIZYDhBUdHRX8fBUdHQI7yP6iA4QEsB0qHR0qHf1E/tTIAfQB9AAAAAMAAABkBLAEsAAXABsAJQAAATMyFh0BITIWFREhNSMVIRE0NjMhNTQ2FxUzNQEVFAYjISImPQEB9MgpOwEsKTv+DMj+DDspASw7KcgB9Dsp/BgpOwSwOylkOyn+cGRkAZApO2QpO2RkZP1EyCk7OynIAAAABAAAAAAEsASwABUAKwBBAFcAABMhMhYPARcWFA8BBiIvAQcGJjURNDYpATIWFREUBi8BBwYiLwEmND8BJyY2ARcWFA8BFxYGIyEiJjURNDYfATc2MgU3NhYVERQGIyEiJj8BJyY0PwE2MhcyASwVCA5exwcHaggUCMdeDhUdAzUBLBUdFQ5exwgUCGoHB8deDgj+L2oHB8deDggV/tQVHRUOXscIFALLXg4VHRX+1BUIDl7HBwdqCBQIBLAVDl7HCBQIagcHx14OCBUBLBUdHRX+1BUIDl7HBwdqCBQIx14OFf0maggUCMdeDhUdFQEsFQgOXscHzl4OCBX+1BUdFQ5exwgUCGoHBwAAAAYAAAAABKgEqAAPABsAIwA7AEMASwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JiQyFhQGIiY0JDIWFAYjIicHFhUUBiImNTQ2PwImNTQEMhYUBiImNCQyFhQGIiY0Advy3Z9fX5/d8t2gXl6gAcbgv29vv+C/b2/+LS0gIC0gAUwtICAWDg83ETNIMykfegEJ/octICAtIAIdLSAgLSAEqF+f3fLdoF5eoN3y3Z9Xb7/gv29vv+C/BiAtISEtICAtIQqRFxwkMzMkIDEFfgEODhekIC0gIC0gIC0gIC0AAf/YAFoEuQS8AFsAACUBNjc2JicmIyIOAwcABw4EFx4BMzI3ATYnLgEjIgcGBwEOASY0NwA3PgEzMhceARcWBgcOBgcGIyImJyY2NwE2NzYzMhceARcWBgcBDgEnLgECIgHVWwgHdl8WGSJBMD8hIP6IDx4eLRMNBQlZN0ozAiQkEAcdEhoYDRr+qw8pHA4BRyIjQS4ODyw9DQ4YIwwod26La1YOOEBGdiIwGkQB/0coW2tQSE5nDxE4Qv4eDyoQEAOtAdZbZWKbEQQUGjIhH/6JDxsdNSg3HT5CMwIkJCcQFBcMGv6uDwEcKQ4BTSIjIQEINykvYyMLKnhuiWZMBxtAOU6+RAH/SBg3ISSGV121Qv4kDwIPDyYAAAACAGQAWASvBEQAGQBEAAABPgIeAhUUDgMHLgQ1ND4CHgEFIg4DIi4DIyIGFRQeAhcWFx4EMj4DNzY3PgQ1NCYCiTB7eHVYNkN5hKg+PqeFeEM4WnZ4eQEjIT8yLSohJyktPyJDbxtBMjMPBw86KzEhDSIzKUAMBAgrKT8dF2oDtURIBS1TdkA5eYB/slVVsn+AeTlAdlMtBUgtJjY1JiY1NiZvTRc4SjQxDwcOPCouGBgwKEALBAkpKkQqMhNPbQACADn/8gR3BL4AFwAuAAAAMh8BFhUUBg8BJi8BNycBFwcvASY0NwEDNxYfARYUBwEGIi8BJjQ/ARYfAQcXAQKru0KNQjgiHR8uEl/3/nvUaRONQkIBGxJpCgmNQkL+5UK6Qo1CQjcdLhJf9wGFBL5CjUJeKmsiHTUuEl/4/nvUahKNQrpCARv+RmkICY1CukL+5UJCjUK7Qjc3LxFf+AGFAAAAAAMAyAAAA+gEsAARABUAHQAAADIeAhURFAYjISImNRE0PgEHESERACIGFBYyNjQCBqqaZDo7Kf2oKTs8Zj4CWP7/Vj09Vj0EsB4uMhX8Ryk7OykDuRUzLar9RAK8/RY9Vj09VgABAAAAAASwBLAAFgAACQEWFAYiLwEBEScBBRMBJyEBJyY0NjIDhgEbDx0qDiT+6dT+zP7oywEz0gEsAQsjDx0qBKH+5g8qHQ8j/vX+1NL+zcsBGAE01AEXJA4qHQAAAAADAScAEQQJBOAAMgBAAEsAAAEVHgQXIy4DJxEXHgQVFAYHFSM1JicuASczHgEXEScuBDU0PgI3NRkBDgMVFB4DFxYXET4ENC4CArwmRVI8LAKfBA0dMydAIjxQNyiym2SWVygZA4sFV0obLkJOMCAyVWg6HSoqFQ4TJhkZCWgWKTEiGBkzNwTgTgUTLD9pQiQuLBsH/s0NBxMtPGQ+i6oMTU8QVyhrVk1iEAFPCA4ZLzlYNkZwSCoGTf4SARIEDh02Jh0rGRQIBgPQ/soCCRYgNEM0JRkAAAABAGQAZgOUBK0ASgAAATIeARUjNC4CIyIGBwYVFB4BFxYXMxUjFgYHBgc+ATM2FjMyNxcOAyMiLgEHDgEPASc+BTc+AScjNTMmJy4CPgE3NgIxVJlemSc8OxolVBQpGxoYBgPxxQgVFS02ImIWIIwiUzUyHzY4HCAXanQmJ1YYFzcEGAcTDBEJMAwk3aYXFQcKAg4tJGEErVCLTig/IhIdFSw5GkowKgkFZDKCHj4yCg8BIh6TExcIASIfBAMaDAuRAxAFDQsRCjePR2QvORQrREFMIVgAAAACABn//wSXBLAADwAfAAABMzIWDwEGIi8BJjY7AREzBRcWBisBESMRIyImPwE2MgGQlhUIDuYOKg7mDggVlsgCF+YOCBWWyJYVCA7mDioBLBYO+g8P+g4WA4QQ+Q4V/HwDhBUO+Q8AAAQAGf//A+gEsAAHABcAGwAlAAABIzUjFSMRIQEzMhYPAQYiLwEmNjsBETMFFTM1EwczFSE1NyM1IQPoZGRkASz9qJYVCA7mDioO5g4IFZbIAZFkY8jI/tTIyAEsArxkZAH0/HwWDvoPD/oOFgOEZMjI/RL6ZJb6ZAAAAAAEABn//wPoBLAADwAZACEAJQAAATMyFg8BBiIvASY2OwERMwUHMxUhNTcjNSERIzUjFSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAljIyP7UyMgBLGRkZAEsx2QBLBYO+g8P+g4WA4SW+mSW+mT7UGRkAfRkyMgAAAAEABn//wRMBLAADwAVABsAHwAAATMyFg8BBiIvASY2OwERMwEjESM1MxMjNSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAlhkZMhkZMgBLMdkASwWDvoPD/oOFgOE/gwBkGT7UGQBkGTIyAAAAAAEABn//wRMBLAADwAVABkAHwAAATMyFg8BBiIvASY2OwERMwEjNSMRIQcVMzUDIxEjNTMBkJYVCA7mDioO5g4IFZbIArxkyAEsx2QBZGTIASwWDvoPD/oOFgOE/gxkAZBkyMj7tAGQZAAAAAAFABn//wSwBLAADwATABcAGwAfAAABMzIWDwEGIi8BJjY7AREzBSM1MxMhNSETITUhEyE1IQGQlhUIDuYOKg7mDggVlsgB9MjIZP7UASxk/nABkGT+DAH0ASwWDvoPD/oOFgOEyMj+DMj+DMj+DMgABQAZ//8EsASwAA8AEwAXABsAHwAAATMyFg8BBiIvASY2OwERMwUhNSEDITUhAyE1IQMjNTMBkJYVCA7mDioO5g4IFZbIAyD+DAH0ZP5wAZBk/tQBLGTIyAEsFg76Dw/6DhYDhMjI/gzI/gzI/gzIAAIAAAAABEwETAAPAB8AAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmAV4BkKK8u6P+cKW5uQJn/gwpOzspAfQpOzsETLuj/nClubmlAZClucg7Kf4MKTs7KQH0KTsAAAAAAwAAAAAETARMAA8AHwArAAABITIWFREUBiMhIiY1ETQ2BSEiBhURFBYzITI2NRE0JgUXFhQPAQYmNRE0NgFeAZClubml/nCju7wCZP4MKTs7KQH0KTs7/m/9ERH9EBgYBEy5pf5wpbm5pQGQo7vIOyn+DCk7OykB9Ck7gr4MJAy+DAsVAZAVCwAAAAADAAAAAARMBEwADwAfACsAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFg8BBiIvASY2AV4BkKO7uaX+cKW5uQJn/gwpOzspAfQpOzv+FQGQFQsMvgwkDL4MCwRMvKL+cKW5uaUBkKO7yDsp/gwpOzspAfQpO8gYEP0REf0QGAAAAAMAAAAABEwETAAPAB8AKwAAASEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFFxYGIyEiJj8BNjIBXgGQpbm5pf5wo7u5Amf+DCk7OykB9Ck7O/77vgwLFf5wFQsMvgwkBEy5pf5wo7u8ogGQpbnIOyn+DCk7OykB9Ck7z/0QGBgQ/REAAAAAAgAAAAAFFARMAB8ANQAAASEyFhURFAYjISImPQE0NjMhMjY1ETQmIyEiJj0BNDYHARYUBwEGJj0BIyImPQE0NjsBNTQ2AiYBkKW5uaX+cBUdHRUBwik7Oyn+PhUdHb8BRBAQ/rwQFvoVHR0V+hYETLml/nCluR0VZBUdOykB9Ck7HRVkFR3p/uQOJg7+5A4KFZYdFcgVHZYVCgAAAQDZAAID1wSeACMAAAEXFgcGAgclMhYHIggBBwYrAScmNz4BPwEhIicmNzYANjc2MwMZCQgDA5gCASwYEQ4B/vf+8wQMDgkJCQUCUCcn/tIXCAoQSwENuwUJEASeCQoRC/5TBwEjEv7K/sUFDwgLFQnlbm4TFRRWAS/TBhAAAAACAAAAAAT+BEwAHwA1AAABITIWHQEUBiMhIgYVERQWMyEyFh0BFAYjISImNRE0NgUBFhQHAQYmPQEjIiY9ATQ2OwE1NDYBXgGQFR0dFf4+KTs7KQHCFR0dFf5wpbm5AvEBRBAQ/rwQFvoVHR0V+hYETB0VZBUdOyn+DCk7HRVkFR25pQGQpbnp/uQOJg7+5A4KFZYdFcgVHZYVCgACAAAAAASwBLAAFQAxAAABITIWFREUBi8BAQYiLwEmNDcBJyY2ASMiBhURFBYzITI2PQE3ERQGIyEiJjURNDYzIQLuAZAVHRUObf7IDykPjQ8PAThtDgj+75wpOzspAfQpO8i7o/5wpbm5pQEsBLAdFf5wFQgObf7IDw+NDykPAThtDhX+1Dsp/gwpOzsplMj+1qW5uaUBkKW5AAADAA4ADgSiBKIADwAbACMAAAAyHgIUDgIiLgI0PgEEIg4BFB4BMj4BNCYEMhYUBiImNAHh7tmdXV2d2e7ZnV1dnQHD5sJxccLmwnFx/nugcnKgcgSiXZ3Z7tmdXV2d2e7ZnUdxwubCcXHC5sJzcqBycqAAAAMAAAAABEwEsAAVAB8AIwAAATMyFhURMzIWBwEGIicBJjY7ARE0NgEhMhYdASE1NDYFFTM1AcLIFR31FAoO/oEOJw3+hQ0JFfod/oUD6BUd+7QdA2dkBLAdFf6iFg/+Vg8PAaoPFgFeFR38fB0V+voVHWQyMgAAAAMAAAAABEwErAAVAB8AIwAACQEWBisBFRQGKwEiJj0BIyImNwE+AQEhMhYdASE1NDYFFTM1AkcBeg4KFfQiFsgUGPoUCw4Bfw4n/fkD6BUd+7QdA2dkBJ7+TQ8g+hQeHRX6IQ8BrxAC/H8dFfr6FR1kMjIAAwAAAAAETARLABQAHgAiAAAJATYyHwEWFAcBBiInASY0PwE2MhcDITIWHQEhNTQ2BRUzNQGMAXEHFQeLBwf98wcVB/7cBweLCBUH1APoFR37tB0DZ2QC0wFxBweLCBUH/fMICAEjCBQIiwcH/dIdFfr6FR1kMjIABAAAAAAETASbAAkAGQAjACcAABM3NjIfAQcnJjQFNzYWFQMOASMFIiY/ASc3ASEyFh0BITU0NgUVMzWHjg4qDk3UTQ4CFtIOFQIBHRX9qxUIDtCa1P49A+gVHfu0HQNnZAP/jg4OTdRMDyqa0g4IFf2pFB4BFQ7Qm9T9Oh0V+voVHWQyMgAAAAQAAAAABEwEsAAPABkAIwAnAAABBR4BFRMUBi8BByc3JyY2EwcGIi8BJjQ/AQEhMhYdASE1NDYFFTM1AV4CVxQeARUO0JvUm9IOCMNMDyoOjg4OTf76A+gVHfu0HQNnZASwAgEdFf2rFQgO0JrUmtIOFf1QTQ4Ojg4qDk3+WB0V+voVHWQyMgACAAT/7ASwBK8ABQAIAAAlCQERIQkBFQEEsP4d/sb+cQSs/TMCq2cBFP5xAacDHPz55gO5AAAAAAIAAABkBEwEsAAVABkAAAERFAYrAREhESMiJjURNDY7AREhETMHIzUzBEwdFZb9RJYVHR0V+gH0ZMhkZAPo/K4VHQGQ/nAdFQPoFB7+1AEsyMgAAAMAAABFBN0EsAAWABoALwAAAQcBJyYiDwEhESMiJjURNDY7AREhETMHIzUzARcWFAcBBiIvASY0PwE2Mh8BATYyBEwC/tVfCRkJlf7IlhUdHRX6AfRkyGRkAbBqBwf+XAgUCMoICGoHFQdPASkHFQPolf7VXwkJk/5wHRUD6BQe/tQBLMjI/c5qBxUH/lsHB8sHFQdqCAhPASkHAAMAAAANBQcEsAAWABoAPgAAAREHJy4BBwEhESMiJjURNDY7AREhETMHIzUzARcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyBExnhg8lEP72/reWFR0dFfoB9GTIZGQB9kYPD4ODDw9GDykPg4MPKQ9GDw+Dgw8PRg8pD4ODDykD6P7zZ4YPAw7+9v5wHRUD6BQe/tQBLMjI/YxGDykPg4MPKQ9GDw+Dgw8PRg8pD4ODDykPRg8Pg4MPAAADAAAAFQSXBLAAFQAZAC8AAAERISIGHQEhESMiJjURNDY7AREhETMHIzUzEzMyFh0BMzIWDwEGIi8BJjY7ATU0NgRM/qIVHf4MlhUdHRX6AfRkyGRklmQVHZYVCA7mDioO5g4IFZYdA+j+1B0Vlv5wHRUD6BQe/tQBLMjI/agdFfoVDuYODuYOFfoVHQAAAAADAAAAAASXBLAAFQAZAC8AAAERJyYiBwEhESMiJjURNDY7AREhETMHIzUzExcWBisBFRQGKwEiJj0BIyImPwE2MgRMpQ4qDv75/m6WFR0dFfoB9GTIZGTr5g4IFZYdFWQVHZYVCA7mDioD6P5wpQ8P/vf+cB0VA+gUHv7UASzIyP2F5Q8V+hQeHhT6FQ/lDwADAAAAyASwBEwACQATABcAABMhMhYdASE1NDYBERQGIyEiJjURExUhNTIETBUd+1AdBJMdFfu0FR1kAZAETB0VlpYVHf7U/doVHR0VAib+1MjIAAAGAAMAfQStBJcADwAZAB0ALQAxADsAAAEXFhQPAQYmPQEhNSE1NDYBIyImPQE0NjsBFyM1MwE3NhYdASEVIRUUBi8BJjQFIzU7AjIWHQEUBisBA6f4Dg74DhX+cAGQFf0vMhUdHRUyyGRk/oL3DhUBkP5wFQ73DwOBZGRkMxQdHRQzBI3mDioO5g4IFZbIlhUI/oUdFWQVHcjI/cvmDggVlsiWFQgO5g4qecgdFWQVHQAAAAACAGQAAASwBLAAFgBRAAABJTYWFREUBisBIiY1ES4ENRE0NiUyFh8BERQOAg8BERQGKwEiJjURLgQ1ETQ+AzMyFh8BETMRPAE+AjMyFh8BETMRND4DA14BFBklHRXIFR0EDiIaFiX+4RYZAgEVHR0LCh0VyBUdBA4iGhYBBwoTDRQZAgNkBQkVDxcZAQFkAQUJFQQxdBIUH/uuFR0dFQGNAQgbHzUeAWcfRJEZDA3+Phw/MSkLC/5BFR0dFQG/BA8uLkAcAcICBxENCxkMDf6iAV4CBxENCxkMDf6iAV4CBxENCwABAGQAAASwBEwAMwAAARUiDgMVERQWHwEVITUyNjURIREUFjMVITUyPgM1ETQmLwE1IRUiBhURIRE0JiM1BLAEDiIaFjIZGf5wSxn+DBlL/nAEDiIaFjIZGQGQSxkB9BlLBEw4AQUKFA78iBYZAQI4OA0lAYr+diUNODgBBQoUDgN4FhkBAjg4DSX+dgGKJQ04AAAABgAAAAAETARMAAwAHAAgACQAKAA0AAABITIWHQEjBTUnITchBSEyFhURFAYjISImNRE0NhcVITUBBTUlBRUhNQUVFAYjIQchJyE3MwKjAXcVHWn+2cj+cGQBd/4lASwpOzsp/tQpOzspASwCvP5wAZD8GAEsArwdFf6JZP6JZAGQyGkD6B0VlmJiyGTIOyn+DCk7OykB9Ck7ZMjI/veFo4XGyMhm+BUdZGTIAAEAEAAQBJ8EnwAmAAATNzYWHwEWBg8BHgEXNz4BHwEeAQ8BBiIuBicuBTcRohEuDosOBhF3ZvyNdxEzE8ATBxGjAw0uMUxPZWZ4O0p3RjITCwED76IRBhPCFDERdo78ZXYRBA6IDi8RogEECBUgNUNjO0qZfHNVQBAAAAACAAAAAASwBEwAIwBBAAAAMh4EHwEVFAYvAS4BPQEmIAcVFAYPAQYmPQE+BRIyHgIfARUBHgEdARQGIyEiJj0BNDY3ATU0PgIB/LimdWQ/LAkJHRTKFB2N/sKNHRTKFB0DDTE7ZnTKcFImFgEBAW0OFR0V+7QVHRUOAW0CFiYETBUhKCgiCgrIFRgDIgMiFZIYGJIVIgMiAxgVyAQNJyQrIP7kExwcCgoy/tEPMhTUFR0dFdQUMg8BLzIEDSEZAAADAAAAAASwBLAADQAdACcAAAEHIScRMxUzNTMVMzUzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYETMj9qMjIyMjIyPyuArwVHR0VDIn8SokMFR0dswRMFR37UB0CvMjIAfTIyMjI/OAdKh1kZB0qHf7UHRUyMhUdAAAAAwBkAAAEsARMAAkAEwAdAAABIyIGFREhETQmASMiBhURIRE0JgEhETQ2OwEyFhUCvGQpOwEsOwFnZCk7ASw7/Rv+1DspZCk7BEw7KfwYA+gpO/7UOyn9RAK8KTv84AGQKTs7KQAAAAAF/5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQURByMRMwcRMxHIArx8sLB8/UR8sLAYA4T+DMjI/tTIyAEsAZBkyMhkZARMsHz+DHywsHwB9HywyP1EArzIZP7UZGQBLGT+1GQB9GT+1AEsAAAABf+cAAAEsARMAA8AEwAfACUAKQAAEyEyFhURFAYjISImNRE0NhcRIREBIzUjFSMRMxUzNTMFEQcjETMHETMRyAK8fLCwfP1EfLCwGAOE/gxkZGRkZGQBkGTIyGRkBEywfP4MfLCwfAH0fLDI/UQCvP2oyMgB9MjIZP7UZAH0ZP7UASwABP+cAAAEsARMAA8AEwAbACMAABMhMhYVERQGIyEiJjURNDYXESERBSMRMxUhESEFIxEzFSERIcgCvHywsHz9RHywsBgDhP4MyMj+1AEsAZDIyP7UASwETLB8/gx8sLB8AfR8sMj9RAK8yP7UZAH0ZP7UZAH0AAAABP+cAAAEsARMAA8AEwAWABkAABMhMhYVERQGIyEiJjURNDYXESERAS0BDQERyAK8fLCwfP1EfLCwGAOE/gz+1AEsAZD+1ARMsHz+DHywsHwB9HywyP1EArz+DJaWlpYBLAAAAAX/nAAABLAETAAPABMAFwAgACkAABMhMhYVERQGIyEiJjURNDYXESERAyERIQcjIgYVFBY7AQERMzI2NTQmI8gCvHywsHz9RHywsBgDhGT9RAK8ZIImOTYpgv4Mgik2OSYETLB8/gx8sLB8AfR8sMj9RAK8/agB9GRWQUFUASz+1FRBQVYAAAAF/5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQEjESM1MwMjNTPIArx8sLB8/UR8sLAYA4T+DMjI/tTIyAEsAZBkZMjIZGQETLB8/gx8sLB8AfR8sMj9RAK8yGT+1GRkASz+DAGQZP4MZAAG/5wAAASwBEwADwATABkAHwAjACcAABMhMhYVERQGIyEiJjURNDYXESERBTMRIREzASMRIzUzBRUzNQEjNTPIArx8sLB8/UR8sLAYA4T9RMj+1GQCWGRkyP2oZAEsZGQETLB8/gx8sLB8AfR8sMj9RAK8yP5wAfT+DAGQZMjIyP7UZAAF/5wAAASwBEwADwATABwAIgAmAAATITIWFREUBiMhIiY1ETQ2FxEhEQEHIzU3NSM1IQEjESM1MwMjNTPIArx8sLB8/UR8sLAYA4T+DMdkx8gBLAGQZGTIx2RkBEywfP4MfLCwfAH0fLDI/UQCvP5wyDLIlmT+DAGQZP4MZAAAAAMACQAJBKcEpwAPABsAJQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgchFSEVISc1NyEB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWz+1AEs/tRkZAEsBKdentvw255eXp7b8NueTHHC5MJxccLkwtDIZGTIZAAAAAAEAAkACQSnBKcADwAbACcAKwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgcVBxcVIycjFSMRIQcVMzUB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWwyZGRklmQBLMjIBKdentvw255eXp7b8NueTHHC5MJxccLkwtBkMmQyZGQBkGRkZAAAAv/y/50EwgRBACAANgAAATIWFzYzMhYUBisBNTQmIyEiBh0BIyImNTQ2NyY1ND4BEzMyFhURMzIWDwEGIi8BJjY7ARE0NgH3brUsLC54qqp4gB0V/tQVHd5QcFZBAmKqepYKD4kVCg3fDSYN3w0KFYkPBEF3YQ6t8a36FR0dFfpzT0VrDhMSZKpi/bMPCv7tFxD0EBD0EBcBEwoPAAAAAAL/8v+cBMMEQQAcADMAAAEyFhc2MzIWFxQGBwEmIgcBIyImNTQ2NyY1ND4BExcWBisBERQGKwEiJjURIyImNzY3NjIB9m62LCsueaoBeFr+hg0lDf6DCU9xVkECYqnm3w0KFYkPCpYKD4kVCg3HGBMZBEF3YQ+teGOkHAFoEBD+k3NPRWsOExNkqWP9kuQQF/7tCg8PCgETFxDMGBMAAAABAGQAAARMBG0AGAAAJTUhATMBMwkBMwEzASEVIyIGHQEhNTQmIwK8AZD+8qr+8qr+1P7Uqv7yqv7yAZAyFR0BkB0VZGQBLAEsAU3+s/7U/tRkHRUyMhUdAAAAAAEAeQAABDcEmwAvAAABMhYXHgEVFAYHFhUUBiMiJxUyFh0BITU0NjM1BiMiJjU0Ny4BNTQ2MzIXNCY1NDYCWF6TGll7OzIJaUo3LRUd/tQdFS03SmkELzlpSgUSAqMEm3FZBoNaPWcfHRpKaR77HRUyMhUd+x5pShIUFVg1SmkCAhAFdKMAAAAGACcAFASJBJwAEQAqAEIASgBiAHsAAAEWEgIHDgEiJicmAhI3PgEyFgUiBw4BBwYWHwEWMzI3Njc2Nz4BLwEmJyYXIgcOAQcGFh8BFjMyNz4BNz4BLwEmJyYWJiIGFBYyNjciBw4BBw4BHwEWFxYzMjc+ATc2Ji8BJhciBwYHBgcOAR8BFhcWMzI3PgE3NiYvASYD8m9PT29T2dzZU29PT29T2dzZ/j0EBHmxIgQNDCQDBBcGG0dGYAsNAwkDCwccBAVQdRgEDA0iBAQWBhJROQwMAwkDCwf5Y4xjY4xjVhYGElE6CwwDCQMLBwgEBVB1GAQNDCIEjRcGG0dGYAsNAwkDCwcIBAR5sSIEDQwkAwPyb/7V/tVvU1dXU28BKwErb1NXVxwBIrF5DBYDCQEWYEZHGwMVDCMNBgSRAhh1UA0WAwkBFTpREgMVCyMMBwT6Y2OMY2MVFTpREQQVCyMMBwQCGHVQDRYDCQEkFmBGRxsDFQwjDQYEASKxeQwWAwkBAAAABQBkAAAD6ASwAAwADwAWABwAIgAAASERIzUhFSERNDYzIQEjNQMzByczNTMDISImNREFFRQGKwECvAEstP6s/oQPCgI/ASzIZKLU1KJktP51Cg8DhA8KwwMg/oTIyALzCg/+1Mj84NTUyP4MDwoBi8jDCg8AAAAABQBkAAAD6ASwAAkADAATABoAIQAAASERCQERNDYzIQEjNRMjFSM1IzcDISImPQEpARUUBisBNQK8ASz+ov3aDwoCPwEsyD6iZKLUqv6dCg8BfAIIDwqbAyD9+AFe/doERwoP/tTI/HzIyNT+ZA8KNzcKD1AAAAAAAwAAAAAEsAP0AAgAGQAfAAABIxUzFyERIzcFMzIeAhUhFSEDETM0PgIBMwMhASEEiqJkZP7UotT9EsgbGiEOASz9qMhkDiEaAnPw8PzgASwB9AMgyGQBLNTUBBErJGT+ogHCJCsRBP5w/nAB9AAAAAMAAAAABEwETAAZADIAOQAAATMyFh0BMzIWHQEUBiMhIiY9ATQ2OwE1NDYFNTIWFREUBiMhIic3ARE0NjMVFBYzITI2AQc1IzUzNQKKZBUdMhUdHRX+1BUdHRUyHQFzKTs7Kf2oARP2/ro7KVg+ASw+WP201MjIBEwdFTIdFWQVHR0VZBUdMhUd+pY7KfzgKTsE9gFGAUQpO5Y+WFj95tSiZKIAAwBkAAAEvARMABkANgA9AAABMzIWHQEzMhYdARQGIyEiJj0BNDY7ATU0NgU1MhYVESMRMxQOAiMhIiY1ETQ2MxUUFjMhMjYBBzUjNTM1AcJkFR0yFR0dFf7UFR0dFTIdAXMpO8jIDiEaG/2oKTs7KVg+ASw+WAGc1MjIBEwdFTIdFWQVHR0VZBUdMhUd+pY7Kf4M/tQkKxEEOykDICk7lj5YWP3m1KJkogAAAAP/ogAABRYE1AALABsAHwAACQEWBiMhIiY3ATYyEyMiBhcTHgE7ATI2NxM2JgMVMzUCkgJ9FyAs+wQsIBcCfRZARNAUGAQ6BCMUNhQjBDoEGODIBK37sCY3NyYEUCf+TB0U/tIUHR0UAS4UHf4MZGQAAAAACQAAAAAETARMAA8AHwAvAD8ATwBfAG8AfwCPAAABMzIWHQEUBisBIiY9ATQ2EzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBqfoKDw8K+goPDwr6Cg8PCvoKDw8BmvoKDw8K+goPD/zq+goPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K+goPD/zq+goPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K+goPDwRMDwqWCg8PCpYKD/7UDwqWCg8PCpYKDw8KlgoPDwqWCg/+1A8KlgoPDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKD/7UDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKDw8KlgoPAAAAAwAAAAAEsAUUABkAKQAzAAABMxUjFSEyFg8BBgchJi8BJjYzITUjNTM1MwEhMhYUBisBFyE3IyImNDYDITIWHQEhNTQ2ArxkZAFePjEcQiko/PwoKUIcMT4BXmRkyP4+ArwVHR0VDIn8SooNFR0dswRMFR37UB0EsMhkTzeEUzMzU4Q3T2TIZPx8HSodZGQdKh3+1B0VMjIVHQAABAAAAAAEsAUUAAUAGQArADUAAAAyFhUjNAchFhUUByEyFg8BIScmNjMhJjU0AyEyFhQGKwEVBSElNSMiJjQ2AyEyFh0BITU0NgIwUDnCPAE6EgMBSCkHIq/9WrIiCikBSAOvArwVHR0VlgET/EoBE5YVHR2zBEwVHftQHQUUOykpjSUmCBEhFpGRFiERCCb+lR0qHcjIyMgdKh39qB0VMjIVHQAEAAAAAASwBJ0ABwAUACQALgAAADIWFAYiJjQTMzIWFRQXITY1NDYzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYCDZZqapZqty4iKyf+vCcrI/7NArwVHR0VDYr8SokMFR0dswRMFR37UB0EnWqWamqW/us5Okxra0w6Of5yHSodZGQdKh3+1B0VMjIVHQAEAAAAAASwBRQADwAcACwANgAAATIeARUUBiImNTQ3FzcnNhMzMhYVFBchNjU0NjMBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYL1szb5xvIpBvoyIfLiIrJ/68Jysj/s0CvBUdHRUNivxKiQwVHR2zBEwVHftQHQUUa4s2Tm9vTj5Rj2+jGv4KOTpMa2tMOjn+ch0qHWRkHSod/tQdFTIyFR0AAAADAAAAAASwBRIAEgAiACwAAAEFFSEUHgMXIS4BNTQ+AjcBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYASz+1CU/P00T/e48PUJtj0r+ogK8FR0dFQ2K/EqJDBUdHbMETBUd+1AdBLChizlmUT9IGVO9VFShdksE/H4dKh1kZB0qHf7UHRUyMhUdAAIAyAAAA+gFFAAPACkAAAAyFh0BHgEdASE1NDY3NTQDITIWFyMVMxUjFTMVIxUzFAYjISImNRE0NgIvUjsuNv5wNi5kAZA2XBqsyMjIyMh1U/5wU3V1BRQ7KU4aXDYyMjZcGk4p/kc2LmRkZGRkU3V1UwGQU3UAAAMAZP//BEwETAAPAC8AMwAAEyEyFhURFAYjISImNRE0NgMhMhYdARQGIyEXFhQGIi8BIQcGIiY0PwEhIiY9ATQ2BQchJ5YDhBUdHRX8fBUdHQQDtgoPDwr+5eANGiUNWP30Vw0mGg3g/t8KDw8BqmQBRGQETB0V/gwVHR0VAfQVHf1EDwoyCg/gDSUbDVhYDRslDeAPCjIKD2RkZAAAAAAEAAAAAASwBEwAGQAjAC0ANwAAEyEyFh0BIzQmKwEiBhUjNCYrASIGFSM1NDYDITIWFREhETQ2ExUUBisBIiY9ASEVFAYrASImPQHIAyBTdWQ7KfopO2Q7KfopO2R1EQPoKTv7UDvxHRVkFR0D6B0VZBUdBEx1U8gpOzspKTs7KchTdf4MOyn+1AEsKTv+DDIVHR0VMjIVHR0VMgADAAEAAASpBKwADQARABsAAAkBFhQPASEBJjQ3ATYyCQMDITIWHQEhNTQ2AeACqh8fg/4f/fsgIAEnH1n+rAFWAS/+q6IDIBUd/HwdBI39VR9ZH4MCBh9ZHwEoH/5u/qoBMAFV/BsdFTIyFR0AAAAAAgCPAAAEIQSwABcALwAAAQMuASMhIgYHAwYWMyEVFBYyNj0BMzI2AyE1NDY7ATU0NjsBETMRMzIWHQEzMhYVBCG9CCcV/nAVJwi9CBMVAnEdKh19FROo/a0dFTIdFTDILxUdMhUdAocB+hMcHBP+BhMclhUdHRWWHP2MMhUdMhUdASz+1B0VMh0VAAAEAAAAAASwBLAADQAQAB8AIgAAASERFAYjIREBNTQ2MyEBIzUBIREUBiMhIiY1ETQ2MyEBIzUDhAEsDwr+if7UDwoBdwEsyP2oASwPCv12Cg8PCgF3ASzIAyD9wQoPAk8BLFQKD/7UyP4M/cEKDw8KA7YKD/7UyAAC/5wAZAUUBEcARgBWAAABMzIeAhcWFxY2NzYnJjc+ARYXFgcOASsBDgEPAQ4BKwEiJj8BBisBIicHDgErASImPwEmLwEuAT0BNDY7ATY3JyY2OwE2BSMiBh0BFBY7ATI2PQE0JgHkw0uOakkMEhEfQwoKGRMKBQ8XDCkCA1Y9Pgc4HCcDIhVkFRgDDDEqwxgpCwMiFWQVGAMaVCyfExwdFXwLLW8QBxXLdAFF+goPDwr6Cg8PBEdBa4pJDgYKISAiJRsQCAYIDCw9P1c3fCbqFB0dFEYOCEAUHR0UnUplNQcmFTIVHVdPXw4TZV8PCjIKDw8KMgoPAAb/nP/mBRQEfgAJACQANAA8AFIAYgAAASU2Fh8BFgYPASUzMhYfASEyFh0BFAYHBQYmJyYjISImPQE0NhcjIgYdARQ7ATI2NTQmJyYEIgYUFjI2NAE3PgEeARceAT8BFxYGDwEGJi8BJjYlBwYfAR4BPwE2Jy4BJy4BAoEBpxMuDiAOAxCL/CtqQ0geZgM3FR0cE/0fFyIJKjr+1D5YWLlQExIqhhALIAsSAYBALS1ALf4PmBIgHhMQHC0aPzANITNQL3wpgigJASlmHyElDR0RPRMFAhQHCxADhPcICxAmDyoNeMgiNtQdFTIVJgeEBBQPQ1g+yD5YrBwVODMQEAtEERzJLUAtLUD+24ITChESEyMgAwWzPUkrRSgJL5cvfRxYGyYrDwkLNRAhFEgJDAQAAAAAAwBkAAAEOQSwAFEAYABvAAABMzIWHQEeARcWDgIPATIeBRUUDgUjFRQGKwEiJj0BIxUUBisBIiY9ASMiJj0BNDY7AREjIiY9ATQ2OwE1NDY7ATIWHQEzNTQ2AxUhMj4CNTc0LgMjARUhMj4CNTc0LgMjAnGWCg9PaAEBIC4uEBEGEjQwOiodFyI2LUAjGg8KlgoPZA8KlgoPrwoPDwpLSwoPDwqvDwqWCg9kD9cBBxwpEwsBAQsTKRz++QFrHCkTCwEBCxMpHASwDwptIW1KLk0tHwYGAw8UKDJOLTtdPCoVCwJLCg8PCktLCg8PCksPCpYKDwJYDwqWCg9LCg8PCktLCg/+1MgVHR0LCgQOIhoW/nDIFR0dCwoEDiIaFgAAAwAEAAIEsASuABcAKQAsAAATITIWFREUBg8BDgEjISImJy4CNRE0NgQiDgQPARchNy4FAyMT1AMMVnokEhIdgVL9xFKCHAgYKHoCIIx9VkcrHQYGnAIwnAIIIClJVSGdwwSuelb+YDO3QkJXd3ZYHFrFMwGgVnqZFyYtLSUMDPPzBQ8sKDEj/sIBBQACAMgAAAOEBRQADwAZAAABMzIWFREUBiMhIiY1ETQ2ARUUBisBIiY9AQHblmesVCn+PilUrAFINhWWFTYFFKxn/gwpVFQpAfRnrPwY4RU2NhXhAAACAMgAAAOEBRQADwAZAAABMxQWMxEUBiMhIiY1ETQ2ARUUBisBIiY9AQHbYLOWVCn+PilUrAFINhWWFTYFFJaz/kIpVFQpAfRnrPwY4RU2NhXhAAACAAAAFAUOBBoAFAAaAAAJASUHFRcVJwc1NzU0Jj4CPwEnCQEFJTUFJQUO/YL+hk5klpZkAQEBBQQvkwKCAVz+ov6iAV4BXgL//uWqPOCWx5SVyJb6BA0GCgYDKEEBG/1ipqaTpaUAAAMAZAH0BLADIAAHAA8AFwAAEjIWFAYiJjQkMhYUBiImNCQyFhQGIiY0vHxYWHxYAeh8WFh8WAHofFhYfFgDIFh8WFh8WFh8WFh8WFh8WFh8AAAAAAMBkAAAArwETAAHAA8AFwAAADIWFAYiJjQSMhYUBiImNBIyFhQGIiY0Aeh8WFh8WFh8WFh8WFh8WFh8WARMWHxYWHz+yFh8WFh8/shYfFhYfAAAAAMAZABkBEwETAAPAB8ALwAAEyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2fQO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PBEwPCpYKDw8KlgoP/nAPCpYKDw8KlgoP/nAPCpYKDw8KlgoPAAAABAAAAAAEsASwAA8AHwAvADMAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFhURFAYjISImNRE0NhcVITUBXgH0ory7o/4Mpbm5Asv9qCk7OykCWCk7O/2xAfQVHR0V/gwVHR1HAZAEsLuj/gylubmlAfSlucg7Kf2oKTs7KQJYKTtkHRX+1BUdHRUBLBUdZMjIAAAAAAEAZABkBLAETAA7AAATITIWFAYrARUzMhYUBisBFTMyFhQGKwEVMzIWFAYjISImNDY7ATUjIiY0NjsBNSMiJjQ2OwE1IyImNDaWA+gVHR0VMjIVHR0VMjIVHR0VMjIVHR0V/BgVHR0VMjIVHR0VMjIVHR0VMjIVHR0ETB0qHcgdKh3IHSodyB0qHR0qHcgdKh3IHSodyB0qHQAAAAYBLAAFA+gEowAHAA0AEwAZAB8AKgAAAR4BBgcuATYBMhYVIiYlFAYjNDYBMhYVIiYlFAYjNDYDFRQGIiY9ARYzMgKKVz8/V1c/P/75fLB8sAK8sHyw/cB8sHywArywfLCwHSodKAMRBKNDsrJCQrKy/sCwfLB8fLB8sP7UsHywfHywfLD+05AVHR0VjgQAAAH/tQDIBJQDgQBCAAABNzYXAR4BBw4BKwEyFRQOBCsBIhE0NyYiBxYVECsBIi4DNTQzIyImJyY2NwE2HwEeAQ4BLwEHIScHBi4BNgLpRRkUASoLCAYFGg8IAQQNGyc/KZK4ChRUFQu4jjBJJxkHAgcPGQYGCAsBKhQaTBQVCiMUM7YDe7YsFCMKFgNuEwYS/tkLHw8OEw0dNkY4MhwBIBgXBAQYF/7gKjxTQyMNEw4PHwoBKBIHEwUjKBYGDMHBDAUWKCMAAAAAAgAAAAAEsASwACUAQwAAASM0LgUrAREUFh8BFSE1Mj4DNREjIg4FFSMRIQEjNC4DKwERFBYXMxUjNTI1ESMiDgMVIzUhBLAyCAsZEyYYGcgyGRn+cAQOIhoWyBkYJhMZCwgyA+j9RBkIChgQEWQZDQzIMmQREBgKCBkB9AOEFSAVDggDAfyuFhkBAmRkAQUJFQ4DUgEDCA4VIBUBLP0SDxMKBQH+VwsNATIyGQGpAQUKEw+WAAAAAAMAAAAABEwErgAdACAAMAAAATUiJy4BLwEBIwEGBw4BDwEVITUiJj8BIRcWBiMVARsBARUUBiMhIiY9ATQ2MyEyFgPoGR4OFgUE/t9F/tQSFQkfCwsBETE7EkUBJT0NISf+7IZ5AbEdFfwYFR0dFQPoFR0BLDIgDiIKCwLr/Q4jFQkTBQUyMisusKYiQTIBhwFW/qr942QVHR0VZBUdHQADAAAAAASwBLAADwBHAEoAABMhMhYVERQGIyEiJjURNDYFIyIHAQYHBgcGHQEUFjMhMjY9ATQmIyInJj8BIRcWBwYjIgYdARQWMyEyNj0BNCYnIicmJyMBJhMjEzIETBUdHRX7tBUdHQJGRg0F/tUREhImDAsJAREIDAwINxAKCj8BCjkLEQwYCAwMCAE5CAwLCBEZGQ8B/uAFDsVnBLAdFfu0FR0dFQRMFR1SDP0PIBMSEAUNMggMDAgyCAwXDhmjmR8YEQwIMggMDAgyBwwBGRskAuwM/gUBCAAABAAAAAAEsASwAAMAEwAjACcAAAEhNSEFITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NhcRIREEsPtQBLD7ggGQFR0dFf5wFR0dAm0BkBUdHRX+cBUdHUcBLARMZMgdFfx8FR0dFQOEFR0dFf5wFR0dFQGQFR1k/tQBLAAEAAAAAASwBLAADwAfACMAJwAAEyEyFhURFAYjISImNRE0NgEhMhYVERQGIyEiJjURNDYXESEREyE1ITIBkBUdHRX+cBUdHQJtAZAVHR0V/nAVHR1HASzI+1AEsASwHRX8fBUdHRUDhBUd/gwdFf5wFR0dFQGQFR1k/tQBLP2oZAAAAAACAAAAZASwA+gAJwArAAATITIWFREzNTQ2MyEyFh0BMxUjFRQGIyEiJj0BIxEUBiMhIiY1ETQ2AREhETIBkBUdZB0VAZAVHWRkHRX+cBUdZB0V/nAVHR0CnwEsA+gdFf6ilhUdHRWWZJYVHR0Vlv6iFR0dFQMgFR3+1P7UASwAAAQAAAAABLAEsAADABMAFwAnAAAzIxEzFyEyFhURFAYjISImNRE0NhcRIREBITIWFREUBiMhIiY1ETQ2ZGRklgGQFR0dFf5wFR0dRwEs/qIDhBUdHRX8fBUdHQSwZB0V/nAVHR0VAZAVHWT+1AEs/gwdFf5wFR0dFQGQFR0AAAAAAgBkAAAETASwACcAKwAAATMyFhURFAYrARUhMhYVERQGIyEiJjURNDYzITUjIiY1ETQ2OwE1MwcRIRECWJYVHR0VlgHCFR0dFfx8FR0dFQFelhUdHRWWZMgBLARMHRX+cBUdZB0V/nAVHR0VAZAVHWQdFQGQFR1kyP7UASwAAAAEAAAAAASwBLAAAwATABcAJwAAISMRMwUhMhYVERQGIyEiJjURNDYXESERASEyFhURFAYjISImNRE0NgSwZGT9dgGQFR0dFf5wFR0dRwEs/K4DhBUdHRX8fBUdHQSwZB0V/nAVHR0VAZAVHWT+1AEs/gwdFf5wFR0dFQGQFR0AAAEBLAAwA28EgAAPAAAJAQYjIiY1ETQ2MzIXARYUA2H+EhcSDhAQDhIXAe4OAjX+EhcbGQPoGRsX/hIOKgAAAAABAUEAMgOEBH4ACwAACQE2FhURFAYnASY0AU8B7h0qKh3+Eg4CewHuHREp/BgpER0B7g4qAAAAAAEAMgFBBH4DhAALAAATITIWBwEGIicBJjZkA+gpER3+Eg4qDv4SHREDhCod/hIODgHuHSoAAAAAAQAyASwEfgNvAAsAAAkBFgYjISImNwE2MgJ7Ae4dESn8GCkRHQHuDioDYf4SHSoqHQHuDgAAAAACAAgAAASwBCgABgAKAAABFQE1LQE1ASE1IQK8/UwBnf5jBKj84AMgAuW2/r3dwcHd+9jIAAAAAAIAAABkBLAEsAALADEAAAEjFTMVIREzNSM1IQEzND4FOwERFAYPARUhNSIuAzURMzIeBRUzESEEsMjI/tTIyAEs+1AyCAsZEyYYGWQyGRkBkAQOIhoWZBkYJhMZCwgy/OADhGRkASxkZP4MFSAVDggDAf3aFhkBAmRkAQUJFQ4CJgEDCA4VIBUBLAAAAgAAAAAETAPoACUAMQAAASM0LgUrAREUFh8BFSE1Mj4DNREjIg4FFSMRIQEjFTMVIREzNSM1IQMgMggLGRMmGBlkMhkZ/nAEDiIaFmQZGCYTGQsIMgMgASzIyP7UyMgBLAK8FSAVDggDAf3aFhkCAWRkAQUJFQ4CJgEDCA4VIBUBLPzgZGQBLGRkAAABAMgAZgNyBEoAEgAAATMyFgcJARYGKwEiJwEmNDcBNgK9oBAKDP4wAdAMChCgDQr+KQcHAdcKBEoWDP4w/jAMFgkB1wgUCAHXCQAAAQE+AGYD6ARKABIAAAEzMhcBFhQHAQYrASImNwkBJjYBU6ANCgHXBwf+KQoNoBAKDAHQ/jAMCgRKCf4pCBQI/ikJFgwB0AHQDBYAAAEAZgDIBEoDcgASAAAAFh0BFAcBBiInASY9ATQ2FwkBBDQWCf4pCBQI/ikJFgwB0AHQA3cKEKANCv4pBwcB1woNoBAKDP4wAdAAAAABAGYBPgRKA+gAEgAACQEWHQEUBicJAQYmPQE0NwE2MgJqAdcJFgz+MP4wDBYJAdcIFAPh/ikKDaAQCgwB0P4wDAoQoA0KAdcHAAAAAgDZ//kEPQSwAAUAOgAAARQGIzQ2BTMyFh8BNjc+Ah4EBgcOBgcGIiYjIgYiJy4DLwEuAT4EHgEXJyY2A+iwfLD+VmQVJgdPBQsiKFAzRyorDwURAQQSFyozTSwNOkkLDkc3EDlfNyYHBw8GDyUqPjdGMR+TDA0EsHywfLDIHBPCAQIGBwcFDx81S21DBxlLR1xKQhEFBQcHGWt0bCQjP2hJNyATBwMGBcASGAAAAAACAMgAFQOEBLAAFgAaAAATITIWFREUBisBEQcGJjURIyImNRE0NhcVITX6AlgVHR0Vlv8TGpYVHR2rASwEsB0V/nAVHf4MsgkQFQKKHRUBkBUdZGRkAAAAAgDIABkETASwAA4AEgAAEyEyFhURBRElIREjETQ2ARU3NfoC7ic9/UQCWP1EZB8BDWQEsFEs/Ft1A7Z9/BgEARc0/V1kFGQAAQAAAAECTW/DBF9fDzz1AB8EsAAAAADQdnOXAAAAANB2c5f/Uf+cBdwFFAAAAAgAAgAAAAAAAAABAAAFFP+FAAAFFP9R/tQF3AABAAAAAAAAAAAAAAAAAAAAowG4ACgAAAAAAZAAAASwAAAEsABkBLAAAASwAAAEsABwAooAAAUUAAACigAABRQAAAGxAAABRQAAANgAAADYAAAAogAAAQQAAABIAAABBAAAAUUAAASwAGQEsAB7BLAAyASwAMgB9AAABLD/8gSwAAAEsAAABLD/8ASwAAAEsAAOBLAACQSwAGQEsP/TBLD/0wSwAAAEsAAABLAAAASwAAAEsAAABLAAJgSwAG4EsAAXBLAAFwSwABcEsABkBLAAGgSwAGQEsAAMBLAAZASwABcEsP+cBLAAZASwABcEsAAXBLAAAASwABcEsAAXBLAAFwSwAGQEsAAABLAAZASwAAAEsAAABLAAAASwAAAEsAAABLAAAASwAAAEsAAABLAAZASwAMgEsAAABLAAAASwADUEsABkBLAAyASw/7UEsAAhBLAAAASwAAAEsAAABLAAAASwAAAEsP+cBLAAAASwAAAEsAAABLAA2wSwABcEsAB1BLAAAASwAAAEsAAABLAACgSwAMgEsAAABLAAnQSwAMgEsADIBLAAyASwAAAEsP/+BLABLASwAGQEsACIBLABOwSwABcEsAAXBLAAFwSwABcEsAAXBLAAFwSwAAAEsAAXBLAAFwSwABcEsAAXBLAAAASwALcEsAC3BLAAAASwAAAEsABJBLAAFwSwAAAEsAAABLAAXQSw/9wEsP/cBLD/nwSwAGQEsAAABLAAAASwAAAEsABkBLD//wSwAAAEsP9RBLAABgSwAAAEsAAABLABRQSwAAEEsAAABLD/nASwAEoEsAAUBLAAAASwAAAEsAAABLD/nASwAGEEsP/9BLAAFgSwABYEsAAWBLAAFgSwABgEsAAABMQAAASwAGQAAAAAAAD/2ABkADkAyAAAAScAZAAZABkAGQAZABkAGQAZAAAAAAAAAAAAAADZAAAAAAAOAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAMAZABkAAAAEAAAAAAAZP+c/5z/nP+c/5z/nP+c/5wACQAJ//L/8gBkAHkAJwBkAGQAAAAAAGT/ogAAAAAAAAAAAAAAAADIAGQAAAABAI8AAP+c/5wAZAAEAMgAyAAAAGQBkABkAAAAZAEs/7UAAAAAAAAAAAAAAAAAAABkAAABLAFBADIAMgAIAAAAAADIAT4AZgBmANkAyADIAAAAKgAqACoAKgCyAOgA6AFOAU4BTgFOAU4BTgFOAU4BTgFOAU4BTgFOAU4BpAIGAiICfgKGAqwC5ANGA24DjAPEBAgEMgRiBKIE3AVcBboGcgb0ByAHYgfKCB4IYgi+CTYJhAm2Cd4KKApMCpQK4gswC4oLygwIDFgNKg1eDbAODg5oDrQPKA+mD+YQEhBUEJAQqhEqEXYRthIKEjgSfBLAExoTdBPQFCoU1BU8FagVzBYEFjYWYBawFv4XUhemGAIYLhhqGJYYsBjgGP4ZKBloGZQZxBnaGe4aNhpoGrga9hteG7QcMhyUHOIdHB1EHWwdlB28HeYeLh52HsAfYh/SIEYgviEyIXYhuCJAIpYiuCMOIyIjOCN6I8Ij4CQCJDAkXiSWJOIlNCVgJbwmFCZ+JuYnUCe8J/goNChwKKwpoCnMKiYqSiqEKworeiwILGgsuizsLRwtiC30LiguZi6iLtgvDi9GL34vsi/4MD4whDDSMRIxYDGuMegyJDJeMpoy3jMiMz4zaDO2NBg0YDSoNNI1LDWeNeg2PjZ8Ntw3GjdON5I31DgQOEI4hjjIOQo5SjmIOcw6HDpsOpo63jugO9w8GDxQPKI8+D0yPew+Oj6MPtQ/KD9uP6o/+kBIQIBAxkECQX5CGEKoQu5DGENCQ3ZDoEPKRBBEYESuRPZFWkW2RgZGdEa0RvZHNkd2R7ZH9kgWSDJITkhqSIZIzEkSSThJXkmESapKAkouSlIAAQAAARcApwARAAAAAAACAAAAAQABAAAAQAAuAAAAAAAAABAAxgABAAAAAAATABIAAAADAAEECQAAAGoAEgADAAEECQABACgAfAADAAEECQACAA4ApAADAAEECQADAEwAsgADAAEECQAEADgA/gADAAEECQAFAHgBNgADAAEECQAGADYBrgADAAEECQAIABYB5AADAAEECQAJABYB+gADAAEECQALACQCEAADAAEECQAMACQCNAADAAEECQATACQCWAADAAEECQDIABYCfAADAAEECQDJADACkgADAAEECdkDABoCwnd3dy5nbHlwaGljb25zLmNvbQBDAG8AcAB5AHIAaQBnAGgAdAAgAKkAIAAyADAAMQA0ACAAYgB5ACAASgBhAG4AIABLAG8AdgBhAHIAaQBrAC4AIABBAGwAbAAgAHIAaQBnAGgAdABzACAAcgBlAHMAZQByAHYAZQBkAC4ARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAFIAZQBnAHUAbABhAHIAMQAuADAAMAA5ADsAVQBLAFcATgA7AEcATABZAFAASABJAEMATwBOAFMASABhAGwAZgBsAGkAbgBnAHMALQBSAGUAZwB1AGwAYQByAEcATABZAFAASABJAEMATwBOAFMAIABIAGEAbABmAGwAaQBuAGcAcwAgAFIAZQBnAHUAbABhAHIAVgBlAHIAcwBpAG8AbgAgADEALgAwADAAOQA7AFAAUwAgADAAMAAxAC4AMAAwADkAOwBoAG8AdABjAG8AbgB2ACAAMQAuADAALgA3ADAAOwBtAGEAawBlAG8AdABmAC4AbABpAGIAMgAuADUALgA1ADgAMwAyADkARwBMAFkAUABIAEkAQwBPAE4AUwBIAGEAbABmAGwAaQBuAGcAcwAtAFIAZQBnAHUAbABhAHIASgBhAG4AIABLAG8AdgBhAHIAaQBrAEoAYQBuACAASwBvAHYAYQByAGkAawB3AHcAdwAuAGcAbAB5AHAAaABpAGMAbwBuAHMALgBjAG8AbQB3AHcAdwAuAGcAbAB5AHAAaABpAGMAbwBuAHMALgBjAG8AbQB3AHcAdwAuAGcAbAB5AHAAaABpAGMAbwBuAHMALgBjAG8AbQBXAGUAYgBmAG8AbgB0ACAAMQAuADAAVwBlAGQAIABPAGMAdAAgADIAOQAgADAANgA6ADMANgA6ADAANwAgADIAMAAxADQARgBvAG4AdAAgAFMAcQB1AGkAcgByAGUAbAAAAAIAAAAAAAD/tQAyAAAAAAAAAAAAAAAAAAAAAAAAAAABFwAAAQIBAwADAA0ADgEEAJYBBQEGAQcBCAEJAQoBCwEMAQ0BDgEPARABEQESARMA7wEUARUBFgEXARgBGQEaARsBHAEdAR4BHwEgASEBIgEjASQBJQEmAScBKAEpASoBKwEsAS0BLgEvATABMQEyATMBNAE1ATYBNwE4ATkBOgE7ATwBPQE+AT8BQAFBAUIBQwFEAUUBRgFHAUgBSQFKAUsBTAFNAU4BTwFQAVEBUgFTAVQBVQFWAVcBWAFZAVoBWwFcAV0BXgFfAWABYQFiAWMBZAFlAWYBZwFoAWkBagFrAWwBbQFuAW8BcAFxAXIBcwF0AXUBdgF3AXgBeQF6AXsBfAF9AX4BfwGAAYEBggGDAYQBhQGGAYcBiAGJAYoBiwGMAY0BjgGPAZABkQGSAZMBlAGVAZYBlwGYAZkBmgGbAZwBnQGeAZ8BoAGhAaIBowGkAaUBpgGnAagBqQGqAasBrAGtAa4BrwGwAbEBsgGzAbQBtQG2AbcBuAG5AboBuwG8Ab0BvgG/AcABwQHCAcMBxAHFAcYBxwHIAckBygHLAcwBzQHOAc8B0AHRAdIB0wHUAdUB1gHXAdgB2QHaAdsB3AHdAd4B3wHgAeEB4gHjAeQB5QHmAecB6AHpAeoB6wHsAe0B7gHvAfAB8QHyAfMB9AH1AfYB9wH4AfkB+gH7AfwB/QH+Af8CAAIBAgICAwIEAgUCBgIHAggCCQIKAgsCDAINAg4CDwIQAhECEgZnbHlwaDEGZ2x5cGgyB3VuaTAwQTAHdW5pMjAwMAd1bmkyMDAxB3VuaTIwMDIHdW5pMjAwMwd1bmkyMDA0B3VuaTIwMDUHdW5pMjAwNgd1bmkyMDA3B3VuaTIwMDgHdW5pMjAwOQd1bmkyMDBBB3VuaTIwMkYHdW5pMjA1RgRFdXJvB3VuaTIwQkQHdW5pMjMxQgd1bmkyNUZDB3VuaTI2MDEHdW5pMjZGQQd1bmkyNzA5B3VuaTI3MEYHdW5pRTAwMQd1bmlFMDAyB3VuaUUwMDMHdW5pRTAwNQd1bmlFMDA2B3VuaUUwMDcHdW5pRTAwOAd1bmlFMDA5B3VuaUUwMTAHdW5pRTAxMQd1bmlFMDEyB3VuaUUwMTMHdW5pRTAxNAd1bmlFMDE1B3VuaUUwMTYHdW5pRTAxNwd1bmlFMDE4B3VuaUUwMTkHdW5pRTAyMAd1bmlFMDIxB3VuaUUwMjIHdW5pRTAyMwd1bmlFMDI0B3VuaUUwMjUHdW5pRTAyNgd1bmlFMDI3B3VuaUUwMjgHdW5pRTAyOQd1bmlFMDMwB3VuaUUwMzEHdW5pRTAzMgd1bmlFMDMzB3VuaUUwMzQHdW5pRTAzNQd1bmlFMDM2B3VuaUUwMzcHdW5pRTAzOAd1bmlFMDM5B3VuaUUwNDAHdW5pRTA0MQd1bmlFMDQyB3VuaUUwNDMHdW5pRTA0NAd1bmlFMDQ1B3VuaUUwNDYHdW5pRTA0Nwd1bmlFMDQ4B3VuaUUwNDkHdW5pRTA1MAd1bmlFMDUxB3VuaUUwNTIHdW5pRTA1Mwd1bmlFMDU0B3VuaUUwNTUHdW5pRTA1Ngd1bmlFMDU3B3VuaUUwNTgHdW5pRTA1OQd1bmlFMDYwB3VuaUUwNjIHdW5pRTA2Mwd1bmlFMDY0B3VuaUUwNjUHdW5pRTA2Ngd1bmlFMDY3B3VuaUUwNjgHdW5pRTA2OQd1bmlFMDcwB3VuaUUwNzEHdW5pRTA3Mgd1bmlFMDczB3VuaUUwNzQHdW5pRTA3NQd1bmlFMDc2B3VuaUUwNzcHdW5pRTA3OAd1bmlFMDc5B3VuaUUwODAHdW5pRTA4MQd1bmlFMDgyB3VuaUUwODMHdW5pRTA4NAd1bmlFMDg1B3VuaUUwODYHdW5pRTA4Nwd1bmlFMDg4B3VuaUUwODkHdW5pRTA5MAd1bmlFMDkxB3VuaUUwOTIHdW5pRTA5Mwd1bmlFMDk0B3VuaUUwOTUHdW5pRTA5Ngd1bmlFMDk3B3VuaUUxMDEHdW5pRTEwMgd1bmlFMTAzB3VuaUUxMDQHdW5pRTEwNQd1bmlFMTA2B3VuaUUxMDcHdW5pRTEwOAd1bmlFMTA5B3VuaUUxMTAHdW5pRTExMQd1bmlFMTEyB3VuaUUxMTMHdW5pRTExNAd1bmlFMTE1B3VuaUUxMTYHdW5pRTExNwd1bmlFMTE4B3VuaUUxMTkHdW5pRTEyMAd1bmlFMTIxB3VuaUUxMjIHdW5pRTEyMwd1bmlFMTI0B3VuaUUxMjUHdW5pRTEyNgd1bmlFMTI3B3VuaUUxMjgHdW5pRTEyOQd1bmlFMTMwB3VuaUUxMzEHdW5pRTEzMgd1bmlFMTMzB3VuaUUxMzQHdW5pRTEzNQd1bmlFMTM2B3VuaUUxMzcHdW5pRTEzOAd1bmlFMTM5B3VuaUUxNDAHdW5pRTE0MQd1bmlFMTQyB3VuaUUxNDMHdW5pRTE0NAd1bmlFMTQ1B3VuaUUxNDYHdW5pRTE0OAd1bmlFMTQ5B3VuaUUxNTAHdW5pRTE1MQd1bmlFMTUyB3VuaUUxNTMHdW5pRTE1NAd1bmlFMTU1B3VuaUUxNTYHdW5pRTE1Nwd1bmlFMTU4B3VuaUUxNTkHdW5pRTE2MAd1bmlFMTYxB3VuaUUxNjIHdW5pRTE2Mwd1bmlFMTY0B3VuaUUxNjUHdW5pRTE2Ngd1bmlFMTY3B3VuaUUxNjgHdW5pRTE2OQd1bmlFMTcwB3VuaUUxNzEHdW5pRTE3Mgd1bmlFMTczB3VuaUUxNzQHdW5pRTE3NQd1bmlFMTc2B3VuaUUxNzcHdW5pRTE3OAd1bmlFMTc5B3VuaUUxODAHdW5pRTE4MQd1bmlFMTgyB3VuaUUxODMHdW5pRTE4NAd1bmlFMTg1B3VuaUUxODYHdW5pRTE4Nwd1bmlFMTg4B3VuaUUxODkHdW5pRTE5MAd1bmlFMTkxB3VuaUUxOTIHdW5pRTE5Mwd1bmlFMTk0B3VuaUUxOTUHdW5pRTE5Nwd1bmlFMTk4B3VuaUUxOTkHdW5pRTIwMAd1bmlFMjAxB3VuaUUyMDIHdW5pRTIwMwd1bmlFMjA0B3VuaUUyMDUHdW5pRTIwNgd1bmlFMjA5B3VuaUUyMTAHdW5pRTIxMQd1bmlFMjEyB3VuaUUyMTMHdW5pRTIxNAd1bmlFMjE1B3VuaUUyMTYHdW5pRTIxOAd1bmlFMjE5B3VuaUUyMjEHdW5pRTIyMwd1bmlFMjI0B3VuaUUyMjUHdW5pRTIyNgd1bmlFMjI3B3VuaUUyMzAHdW5pRTIzMQd1bmlFMjMyB3VuaUUyMzMHdW5pRTIzNAd1bmlFMjM1B3VuaUUyMzYHdW5pRTIzNwd1bmlFMjM4B3VuaUUyMzkHdW5pRTI0MAd1bmlFMjQxB3VuaUUyNDIHdW5pRTI0Mwd1bmlFMjQ0B3VuaUUyNDUHdW5pRTI0Ngd1bmlFMjQ3B3VuaUUyNDgHdW5pRTI0OQd1bmlFMjUwB3VuaUUyNTEHdW5pRTI1Mgd1bmlFMjUzB3VuaUUyNTQHdW5pRTI1NQd1bmlFMjU2B3VuaUUyNTcHdW5pRTI1OAd1bmlFMjU5B3VuaUUyNjAHdW5pRjhGRgZ1MUY1MTEGdTFGNkFBAAAAAAFUUMMXAAA=) format('truetype'),url(data:image/svg+xml;base64,<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
<font-face units-per-em="1200" ascent="960" descent="-240" />
<missing-glyph horiz-adv-x="500" />
<glyph horiz-adv-x="0" />
<glyph horiz-adv-x="400" />
<glyph unicode=" " />
<glyph unicode="*" d="M600 1100q15 0 34 -1.5t30 -3.5l11 -1q10 -2 17.5 -10.5t7.5 -18.5v-224l158 158q7 7 18 8t19 -6l106 -106q7 -8 6 -19t-8 -18l-158 -158h224q10 0 18.5 -7.5t10.5 -17.5q6 -41 6 -75q0 -15 -1.5 -34t-3.5 -30l-1 -11q-2 -10 -10.5 -17.5t-18.5 -7.5h-224l158 -158 q7 -7 8 -18t-6 -19l-106 -106q-8 -7 -19 -6t-18 8l-158 158v-224q0 -10 -7.5 -18.5t-17.5 -10.5q-41 -6 -75 -6q-15 0 -34 1.5t-30 3.5l-11 1q-10 2 -17.5 10.5t-7.5 18.5v224l-158 -158q-7 -7 -18 -8t-19 6l-106 106q-7 8 -6 19t8 18l158 158h-224q-10 0 -18.5 7.5 t-10.5 17.5q-6 41 -6 75q0 15 1.5 34t3.5 30l1 11q2 10 10.5 17.5t18.5 7.5h224l-158 158q-7 7 -8 18t6 19l106 106q8 7 19 6t18 -8l158 -158v224q0 10 7.5 18.5t17.5 10.5q41 6 75 6z" />
<glyph unicode="+" d="M450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-350h350q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-350v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v350h-350q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5 h350v350q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xa0;" />
<glyph unicode="&#xa5;" d="M825 1100h250q10 0 12.5 -5t-5.5 -13l-364 -364q-6 -6 -11 -18h268q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-100h275q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-174q0 -11 -7.5 -18.5t-18.5 -7.5h-148q-11 0 -18.5 7.5t-7.5 18.5v174 h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h125v100h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h118q-5 12 -11 18l-364 364q-8 8 -5.5 13t12.5 5h250q25 0 43 -18l164 -164q8 -8 18 -8t18 8l164 164q18 18 43 18z" />
<glyph unicode="&#x2000;" horiz-adv-x="650" />
<glyph unicode="&#x2001;" horiz-adv-x="1300" />
<glyph unicode="&#x2002;" horiz-adv-x="650" />
<glyph unicode="&#x2003;" horiz-adv-x="1300" />
<glyph unicode="&#x2004;" horiz-adv-x="433" />
<glyph unicode="&#x2005;" horiz-adv-x="325" />
<glyph unicode="&#x2006;" horiz-adv-x="216" />
<glyph unicode="&#x2007;" horiz-adv-x="216" />
<glyph unicode="&#x2008;" horiz-adv-x="162" />
<glyph unicode="&#x2009;" horiz-adv-x="260" />
<glyph unicode="&#x200a;" horiz-adv-x="72" />
<glyph unicode="&#x202f;" horiz-adv-x="260" />
<glyph unicode="&#x205f;" horiz-adv-x="325" />
<glyph unicode="&#x20ac;" d="M744 1198q242 0 354 -189q60 -104 66 -209h-181q0 45 -17.5 82.5t-43.5 61.5t-58 40.5t-60.5 24t-51.5 7.5q-19 0 -40.5 -5.5t-49.5 -20.5t-53 -38t-49 -62.5t-39 -89.5h379l-100 -100h-300q-6 -50 -6 -100h406l-100 -100h-300q9 -74 33 -132t52.5 -91t61.5 -54.5t59 -29 t47 -7.5q22 0 50.5 7.5t60.5 24.5t58 41t43.5 61t17.5 80h174q-30 -171 -128 -278q-107 -117 -274 -117q-206 0 -324 158q-36 48 -69 133t-45 204h-217l100 100h112q1 47 6 100h-218l100 100h134q20 87 51 153.5t62 103.5q117 141 297 141z" />
<glyph unicode="&#x20bd;" d="M428 1200h350q67 0 120 -13t86 -31t57 -49.5t35 -56.5t17 -64.5t6.5 -60.5t0.5 -57v-16.5v-16.5q0 -36 -0.5 -57t-6.5 -61t-17 -65t-35 -57t-57 -50.5t-86 -31.5t-120 -13h-178l-2 -100h288q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-138v-175q0 -11 -5.5 -18 t-15.5 -7h-149q-10 0 -17.5 7.5t-7.5 17.5v175h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v100h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v475q0 10 7.5 17.5t17.5 7.5zM600 1000v-300h203q64 0 86.5 33t22.5 119q0 84 -22.5 116t-86.5 32h-203z" />
<glyph unicode="&#x2212;" d="M250 700h800q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#x231b;" d="M1000 1200v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-50v-100q0 -91 -49.5 -165.5t-130.5 -109.5q81 -35 130.5 -109.5t49.5 -165.5v-150h50q21 0 35.5 -14.5t14.5 -35.5v-150h-800v150q0 21 14.5 35.5t35.5 14.5h50v150q0 91 49.5 165.5t130.5 109.5q-81 35 -130.5 109.5 t-49.5 165.5v100h-50q-21 0 -35.5 14.5t-14.5 35.5v150h800zM400 1000v-100q0 -60 32.5 -109.5t87.5 -73.5q28 -12 44 -37t16 -55t-16 -55t-44 -37q-55 -24 -87.5 -73.5t-32.5 -109.5v-150h400v150q0 60 -32.5 109.5t-87.5 73.5q-28 12 -44 37t-16 55t16 55t44 37 q55 24 87.5 73.5t32.5 109.5v100h-400z" />
<glyph unicode="&#x25fc;" horiz-adv-x="500" d="M0 0z" />
<glyph unicode="&#x2601;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -206.5q0 -121 -85 -207.5t-205 -86.5h-750q-79 0 -135.5 57t-56.5 137q0 69 42.5 122.5t108.5 67.5q-2 12 -2 37q0 153 108 260.5t260 107.5z" />
<glyph unicode="&#x26fa;" d="M774 1193.5q16 -9.5 20.5 -27t-5.5 -33.5l-136 -187l467 -746h30q20 0 35 -18.5t15 -39.5v-42h-1200v42q0 21 15 39.5t35 18.5h30l468 746l-135 183q-10 16 -5.5 34t20.5 28t34 5.5t28 -20.5l111 -148l112 150q9 16 27 20.5t34 -5zM600 200h377l-182 112l-195 534v-646z " />
<glyph unicode="&#x2709;" d="M25 1100h1150q10 0 12.5 -5t-5.5 -13l-564 -567q-8 -8 -18 -8t-18 8l-564 567q-8 8 -5.5 13t12.5 5zM18 882l264 -264q8 -8 8 -18t-8 -18l-264 -264q-8 -8 -13 -5.5t-5 12.5v550q0 10 5 12.5t13 -5.5zM918 618l264 264q8 8 13 5.5t5 -12.5v-550q0 -10 -5 -12.5t-13 5.5 l-264 264q-8 8 -8 18t8 18zM818 482l364 -364q8 -8 5.5 -13t-12.5 -5h-1150q-10 0 -12.5 5t5.5 13l364 364q8 8 18 8t18 -8l164 -164q8 -8 18 -8t18 8l164 164q8 8 18 8t18 -8z" />
<glyph unicode="&#x270f;" d="M1011 1210q19 0 33 -13l153 -153q13 -14 13 -33t-13 -33l-99 -92l-214 214l95 96q13 14 32 14zM1013 800l-615 -614l-214 214l614 614zM317 96l-333 -112l110 335z" />
<glyph unicode="&#xe001;" d="M700 650v-550h250q21 0 35.5 -14.5t14.5 -35.5v-50h-800v50q0 21 14.5 35.5t35.5 14.5h250v550l-500 550h1200z" />
<glyph unicode="&#xe002;" d="M368 1017l645 163q39 15 63 0t24 -49v-831q0 -55 -41.5 -95.5t-111.5 -63.5q-79 -25 -147 -4.5t-86 75t25.5 111.5t122.5 82q72 24 138 8v521l-600 -155v-606q0 -42 -44 -90t-109 -69q-79 -26 -147 -5.5t-86 75.5t25.5 111.5t122.5 82.5q72 24 138 7v639q0 38 14.5 59 t53.5 34z" />
<glyph unicode="&#xe003;" d="M500 1191q100 0 191 -39t156.5 -104.5t104.5 -156.5t39 -191l-1 -2l1 -5q0 -141 -78 -262l275 -274q23 -26 22.5 -44.5t-22.5 -42.5l-59 -58q-26 -20 -46.5 -20t-39.5 20l-275 274q-119 -77 -261 -77l-5 1l-2 -1q-100 0 -191 39t-156.5 104.5t-104.5 156.5t-39 191 t39 191t104.5 156.5t156.5 104.5t191 39zM500 1022q-88 0 -162 -43t-117 -117t-43 -162t43 -162t117 -117t162 -43t162 43t117 117t43 162t-43 162t-117 117t-162 43z" />
<glyph unicode="&#xe005;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104z" />
<glyph unicode="&#xe006;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429z" />
<glyph unicode="&#xe007;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429zM477 700h-240l197 -142l-74 -226 l193 139l195 -140l-74 229l192 140h-234l-78 211z" />
<glyph unicode="&#xe008;" d="M600 1200q124 0 212 -88t88 -212v-250q0 -46 -31 -98t-69 -52v-75q0 -10 6 -21.5t15 -17.5l358 -230q9 -5 15 -16.5t6 -21.5v-93q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v93q0 10 6 21.5t15 16.5l358 230q9 6 15 17.5t6 21.5v75q-38 0 -69 52 t-31 98v250q0 124 88 212t212 88z" />
<glyph unicode="&#xe009;" d="M25 1100h1150q10 0 17.5 -7.5t7.5 -17.5v-1050q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v1050q0 10 7.5 17.5t17.5 7.5zM100 1000v-100h100v100h-100zM875 1000h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5t17.5 -7.5h550 q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM1000 1000v-100h100v100h-100zM100 800v-100h100v100h-100zM1000 800v-100h100v100h-100zM100 600v-100h100v100h-100zM1000 600v-100h100v100h-100zM875 500h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5 t17.5 -7.5h550q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM100 400v-100h100v100h-100zM1000 400v-100h100v100h-100zM100 200v-100h100v100h-100zM1000 200v-100h100v100h-100z" />
<glyph unicode="&#xe010;" d="M50 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM50 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe011;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM850 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 700h200q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h200 q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5 t35.5 14.5z" />
<glyph unicode="&#xe012;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h700q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe013;" d="M465 477l571 571q8 8 18 8t17 -8l177 -177q8 -7 8 -17t-8 -18l-783 -784q-7 -8 -17.5 -8t-17.5 8l-384 384q-8 8 -8 18t8 17l177 177q7 8 17 8t18 -8l171 -171q7 -7 18 -7t18 7z" />
<glyph unicode="&#xe014;" d="M904 1083l178 -179q8 -8 8 -18.5t-8 -17.5l-267 -268l267 -268q8 -7 8 -17.5t-8 -18.5l-178 -178q-8 -8 -18.5 -8t-17.5 8l-268 267l-268 -267q-7 -8 -17.5 -8t-18.5 8l-178 178q-8 8 -8 18.5t8 17.5l267 268l-267 268q-8 7 -8 17.5t8 18.5l178 178q8 8 18.5 8t17.5 -8 l268 -267l268 268q7 7 17.5 7t18.5 -7z" />
<glyph unicode="&#xe015;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM425 900h150q10 0 17.5 -7.5t7.5 -17.5v-75h75q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5 t-17.5 -7.5h-75v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-75q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v75q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe016;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM325 800h350q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-350q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe017;" d="M550 1200h100q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM800 975v166q167 -62 272 -209.5t105 -331.5q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5 t-184.5 123t-123 184.5t-45.5 224q0 184 105 331.5t272 209.5v-166q-103 -55 -165 -155t-62 -220q0 -116 57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5q0 120 -62 220t-165 155z" />
<glyph unicode="&#xe018;" d="M1025 1200h150q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM725 800h150q10 0 17.5 -7.5t7.5 -17.5v-750q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v750 q0 10 7.5 17.5t17.5 7.5zM425 500h150q10 0 17.5 -7.5t7.5 -17.5v-450q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v450q0 10 7.5 17.5t17.5 7.5zM125 300h150q10 0 17.5 -7.5t7.5 -17.5v-250q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5 v250q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe019;" d="M600 1174q33 0 74 -5l38 -152l5 -1q49 -14 94 -39l5 -2l134 80q61 -48 104 -105l-80 -134l3 -5q25 -44 39 -93l1 -6l152 -38q5 -43 5 -73q0 -34 -5 -74l-152 -38l-1 -6q-15 -49 -39 -93l-3 -5l80 -134q-48 -61 -104 -105l-134 81l-5 -3q-44 -25 -94 -39l-5 -2l-38 -151 q-43 -5 -74 -5q-33 0 -74 5l-38 151l-5 2q-49 14 -94 39l-5 3l-134 -81q-60 48 -104 105l80 134l-3 5q-25 45 -38 93l-2 6l-151 38q-6 42 -6 74q0 33 6 73l151 38l2 6q13 48 38 93l3 5l-80 134q47 61 105 105l133 -80l5 2q45 25 94 39l5 1l38 152q43 5 74 5zM600 815 q-89 0 -152 -63t-63 -151.5t63 -151.5t152 -63t152 63t63 151.5t-63 151.5t-152 63z" />
<glyph unicode="&#xe020;" d="M500 1300h300q41 0 70.5 -29.5t29.5 -70.5v-100h275q10 0 17.5 -7.5t7.5 -17.5v-75h-1100v75q0 10 7.5 17.5t17.5 7.5h275v100q0 41 29.5 70.5t70.5 29.5zM500 1200v-100h300v100h-300zM1100 900v-800q0 -41 -29.5 -70.5t-70.5 -29.5h-700q-41 0 -70.5 29.5t-29.5 70.5 v800h900zM300 800v-700h100v700h-100zM500 800v-700h100v700h-100zM700 800v-700h100v700h-100zM900 800v-700h100v700h-100z" />
<glyph unicode="&#xe021;" d="M18 618l620 608q8 7 18.5 7t17.5 -7l608 -608q8 -8 5.5 -13t-12.5 -5h-175v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v375h-300v-375q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v575h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe022;" d="M600 1200v-400q0 -41 29.5 -70.5t70.5 -29.5h300v-650q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5h450zM1000 800h-250q-21 0 -35.5 14.5t-14.5 35.5v250z" />
<glyph unicode="&#xe023;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h50q10 0 17.5 -7.5t7.5 -17.5v-275h175q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe024;" d="M1300 0h-538l-41 400h-242l-41 -400h-538l431 1200h209l-21 -300h162l-20 300h208zM515 800l-27 -300h224l-27 300h-170z" />
<glyph unicode="&#xe025;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-450h191q20 0 25.5 -11.5t-7.5 -27.5l-327 -400q-13 -16 -32 -16t-32 16l-327 400q-13 16 -7.5 27.5t25.5 11.5h191v450q0 21 14.5 35.5t35.5 14.5zM1125 400h50q10 0 17.5 -7.5t7.5 -17.5v-350q0 -10 -7.5 -17.5t-17.5 -7.5 h-1050q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h50q10 0 17.5 -7.5t7.5 -17.5v-175h900v175q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe026;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -275q-13 -16 -32 -16t-32 16l-223 275q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z " />
<glyph unicode="&#xe027;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM632 914l223 -275q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5l223 275q13 16 32 16 t32 -16z" />
<glyph unicode="&#xe028;" d="M225 1200h750q10 0 19.5 -7t12.5 -17l186 -652q7 -24 7 -49v-425q0 -12 -4 -27t-9 -17q-12 -6 -37 -6h-1100q-12 0 -27 4t-17 8q-6 13 -6 38l1 425q0 25 7 49l185 652q3 10 12.5 17t19.5 7zM878 1000h-556q-10 0 -19 -7t-11 -18l-87 -450q-2 -11 4 -18t16 -7h150 q10 0 19.5 -7t11.5 -17l38 -152q2 -10 11.5 -17t19.5 -7h250q10 0 19.5 7t11.5 17l38 152q2 10 11.5 17t19.5 7h150q10 0 16 7t4 18l-87 450q-2 11 -11 18t-19 7z" />
<glyph unicode="&#xe029;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM540 820l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe030;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-362q0 -10 -7.5 -17.5t-17.5 -7.5h-362q-11 0 -13 5.5t5 12.5l133 133q-109 76 -238 76q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5h150q0 -117 -45.5 -224 t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117z" />
<glyph unicode="&#xe031;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-361q0 -11 -7.5 -18.5t-18.5 -7.5h-361q-11 0 -13 5.5t5 12.5l134 134q-110 75 -239 75q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5h-150q0 117 45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117zM1027 600h150 q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5q-192 0 -348 118l-134 -134q-7 -8 -12.5 -5.5t-5.5 12.5v360q0 11 7.5 18.5t18.5 7.5h360q10 0 12.5 -5.5t-5.5 -12.5l-133 -133q110 -76 240 -76q116 0 214.5 57t155.5 155.5t57 214.5z" />
<glyph unicode="&#xe032;" d="M125 1200h1050q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-1050q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM1075 1000h-850q-10 0 -17.5 -7.5t-7.5 -17.5v-850q0 -10 7.5 -17.5t17.5 -7.5h850q10 0 17.5 7.5t7.5 17.5v850 q0 10 -7.5 17.5t-17.5 7.5zM325 900h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 900h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 700h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 700h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 500h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 500h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 300h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 300h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe033;" d="M900 800v200q0 83 -58.5 141.5t-141.5 58.5h-300q-82 0 -141 -59t-59 -141v-200h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h900q41 0 70.5 29.5t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5h-100zM400 800v150q0 21 15 35.5t35 14.5h200 q20 0 35 -14.5t15 -35.5v-150h-300z" />
<glyph unicode="&#xe034;" d="M125 1100h50q10 0 17.5 -7.5t7.5 -17.5v-1075h-100v1075q0 10 7.5 17.5t17.5 7.5zM1075 1052q4 0 9 -2q16 -6 16 -23v-421q0 -6 -3 -12q-33 -59 -66.5 -99t-65.5 -58t-56.5 -24.5t-52.5 -6.5q-26 0 -57.5 6.5t-52.5 13.5t-60 21q-41 15 -63 22.5t-57.5 15t-65.5 7.5 q-85 0 -160 -57q-7 -5 -15 -5q-6 0 -11 3q-14 7 -14 22v438q22 55 82 98.5t119 46.5q23 2 43 0.5t43 -7t32.5 -8.5t38 -13t32.5 -11q41 -14 63.5 -21t57 -14t63.5 -7q103 0 183 87q7 8 18 8z" />
<glyph unicode="&#xe035;" d="M600 1175q116 0 227 -49.5t192.5 -131t131 -192.5t49.5 -227v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v300q0 127 -70.5 231.5t-184.5 161.5t-245 57t-245 -57t-184.5 -161.5t-70.5 -231.5v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50 q-10 0 -17.5 7.5t-7.5 17.5v300q0 116 49.5 227t131 192.5t192.5 131t227 49.5zM220 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460q0 8 6 14t14 6zM820 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460 q0 8 6 14t14 6z" />
<glyph unicode="&#xe036;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM900 668l120 120q7 7 17 7t17 -7l34 -34q7 -7 7 -17t-7 -17l-120 -120l120 -120q7 -7 7 -17 t-7 -17l-34 -34q-7 -7 -17 -7t-17 7l-120 119l-120 -119q-7 -7 -17 -7t-17 7l-34 34q-7 7 -7 17t7 17l119 120l-119 120q-7 7 -7 17t7 17l34 34q7 8 17 8t17 -8z" />
<glyph unicode="&#xe037;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6 l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238q-6 8 -4.5 18t9.5 17l29 22q7 5 15 5z" />
<glyph unicode="&#xe038;" d="M967 1004h3q11 -1 17 -10q135 -179 135 -396q0 -105 -34 -206.5t-98 -185.5q-7 -9 -17 -10h-3q-9 0 -16 6l-42 34q-8 6 -9 16t5 18q111 150 111 328q0 90 -29.5 176t-84.5 157q-6 9 -5 19t10 16l42 33q7 5 15 5zM321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5 t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238 q-6 8 -4.5 18.5t9.5 16.5l29 22q7 5 15 5z" />
<glyph unicode="&#xe039;" d="M500 900h100v-100h-100v-100h-400v-100h-100v600h500v-300zM1200 700h-200v-100h200v-200h-300v300h-200v300h-100v200h600v-500zM100 1100v-300h300v300h-300zM800 1100v-300h300v300h-300zM300 900h-100v100h100v-100zM1000 900h-100v100h100v-100zM300 500h200v-500 h-500v500h200v100h100v-100zM800 300h200v-100h-100v-100h-200v100h-100v100h100v200h-200v100h300v-300zM100 400v-300h300v300h-300zM300 200h-100v100h100v-100zM1200 200h-100v100h100v-100zM700 0h-100v100h100v-100zM1200 0h-300v100h300v-100z" />
<glyph unicode="&#xe040;" d="M100 200h-100v1000h100v-1000zM300 200h-100v1000h100v-1000zM700 200h-200v1000h200v-1000zM900 200h-100v1000h100v-1000zM1200 200h-200v1000h200v-1000zM400 0h-300v100h300v-100zM600 0h-100v91h100v-91zM800 0h-100v91h100v-91zM1100 0h-200v91h200v-91z" />
<glyph unicode="&#xe041;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe042;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM800 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-56 56l424 426l-700 700h150zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5 t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe043;" d="M300 1200h825q75 0 75 -75v-900q0 -25 -18 -43l-64 -64q-8 -8 -13 -5.5t-5 12.5v950q0 10 -7.5 17.5t-17.5 7.5h-700q-25 0 -43 -18l-64 -64q-8 -8 -5.5 -13t12.5 -5h700q10 0 17.5 -7.5t7.5 -17.5v-950q0 -10 -7.5 -17.5t-17.5 -7.5h-850q-10 0 -17.5 7.5t-7.5 17.5v975 q0 25 18 43l139 139q18 18 43 18z" />
<glyph unicode="&#xe044;" d="M250 1200h800q21 0 35.5 -14.5t14.5 -35.5v-1150l-450 444l-450 -445v1151q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe045;" d="M822 1200h-444q-11 0 -19 -7.5t-9 -17.5l-78 -301q-7 -24 7 -45l57 -108q6 -9 17.5 -15t21.5 -6h450q10 0 21.5 6t17.5 15l62 108q14 21 7 45l-83 301q-1 10 -9 17.5t-19 7.5zM1175 800h-150q-10 0 -21 -6.5t-15 -15.5l-78 -156q-4 -9 -15 -15.5t-21 -6.5h-550 q-10 0 -21 6.5t-15 15.5l-78 156q-4 9 -15 15.5t-21 6.5h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-650q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h750q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5 t7.5 17.5v650q0 10 -7.5 17.5t-17.5 7.5zM850 200h-500q-10 0 -19.5 -7t-11.5 -17l-38 -152q-2 -10 3.5 -17t15.5 -7h600q10 0 15.5 7t3.5 17l-38 152q-2 10 -11.5 17t-19.5 7z" />
<glyph unicode="&#xe046;" d="M500 1100h200q56 0 102.5 -20.5t72.5 -50t44 -59t25 -50.5l6 -20h150q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5h150q2 8 6.5 21.5t24 48t45 61t72 48t102.5 21.5zM900 800v-100 h100v100h-100zM600 730q-95 0 -162.5 -67.5t-67.5 -162.5t67.5 -162.5t162.5 -67.5t162.5 67.5t67.5 162.5t-67.5 162.5t-162.5 67.5zM600 603q43 0 73 -30t30 -73t-30 -73t-73 -30t-73 30t-30 73t30 73t73 30z" />
<glyph unicode="&#xe047;" d="M681 1199l385 -998q20 -50 60 -92q18 -19 36.5 -29.5t27.5 -11.5l10 -2v-66h-417v66q53 0 75 43.5t5 88.5l-82 222h-391q-58 -145 -92 -234q-11 -34 -6.5 -57t25.5 -37t46 -20t55 -6v-66h-365v66q56 24 84 52q12 12 25 30.5t20 31.5l7 13l399 1006h93zM416 521h340 l-162 457z" />
<glyph unicode="&#xe048;" d="M753 641q5 -1 14.5 -4.5t36 -15.5t50.5 -26.5t53.5 -40t50.5 -54.5t35.5 -70t14.5 -87q0 -67 -27.5 -125.5t-71.5 -97.5t-98.5 -66.5t-108.5 -40.5t-102 -13h-500v89q41 7 70.5 32.5t29.5 65.5v827q0 24 -0.5 34t-3.5 24t-8.5 19.5t-17 13.5t-28 12.5t-42.5 11.5v71 l471 -1q57 0 115.5 -20.5t108 -57t80.5 -94t31 -124.5q0 -51 -15.5 -96.5t-38 -74.5t-45 -50.5t-38.5 -30.5zM400 700h139q78 0 130.5 48.5t52.5 122.5q0 41 -8.5 70.5t-29.5 55.5t-62.5 39.5t-103.5 13.5h-118v-350zM400 200h216q80 0 121 50.5t41 130.5q0 90 -62.5 154.5 t-156.5 64.5h-159v-400z" />
<glyph unicode="&#xe049;" d="M877 1200l2 -57q-83 -19 -116 -45.5t-40 -66.5l-132 -839q-9 -49 13 -69t96 -26v-97h-500v97q186 16 200 98l173 832q3 17 3 30t-1.5 22.5t-9 17.5t-13.5 12.5t-21.5 10t-26 8.5t-33.5 10q-13 3 -19 5v57h425z" />
<glyph unicode="&#xe050;" d="M1300 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM175 1000h-75v-800h75l-125 -167l-125 167h75v800h-75l125 167z" />
<glyph unicode="&#xe051;" d="M1100 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-650q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v650h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM1167 50l-167 -125v75h-800v-75l-167 125l167 125v-75h800v75z" />
<glyph unicode="&#xe052;" d="M50 1100h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe053;" d="M250 1100h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM250 500h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe054;" d="M500 950v100q0 21 14.5 35.5t35.5 14.5h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5zM100 650v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000 q-21 0 -35.5 14.5t-14.5 35.5zM300 350v100q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5zM0 50v100q0 21 14.5 35.5t35.5 14.5h1100q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5z" />
<glyph unicode="&#xe055;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe056;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 1100h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 800h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 500h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 500h800q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 200h800 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe057;" d="M400 0h-100v1100h100v-1100zM550 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM267 550l-167 -125v75h-200v100h200v75zM550 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe058;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM900 0h-100v1100h100v-1100zM50 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM1100 600h200v-100h-200v-75l-167 125l167 125v-75zM50 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe059;" d="M75 1000h750q31 0 53 -22t22 -53v-650q0 -31 -22 -53t-53 -22h-750q-31 0 -53 22t-22 53v650q0 31 22 53t53 22zM1200 300l-300 300l300 300v-600z" />
<glyph unicode="&#xe060;" d="M44 1100h1112q18 0 31 -13t13 -31v-1012q0 -18 -13 -31t-31 -13h-1112q-18 0 -31 13t-13 31v1012q0 18 13 31t31 13zM100 1000v-737l247 182l298 -131l-74 156l293 318l236 -288v500h-1000zM342 884q56 0 95 -39t39 -94.5t-39 -95t-95 -39.5t-95 39.5t-39 95t39 94.5 t95 39z" />
<glyph unicode="&#xe062;" d="M648 1169q117 0 216 -60t156.5 -161t57.5 -218q0 -115 -70 -258q-69 -109 -158 -225.5t-143 -179.5l-54 -62q-9 8 -25.5 24.5t-63.5 67.5t-91 103t-98.5 128t-95.5 148q-60 132 -60 249q0 88 34 169.5t91.5 142t137 96.5t166.5 36zM652.5 974q-91.5 0 -156.5 -65 t-65 -157t65 -156.5t156.5 -64.5t156.5 64.5t65 156.5t-65 157t-156.5 65z" />
<glyph unicode="&#xe063;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 173v854q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57z" />
<glyph unicode="&#xe064;" d="M554 1295q21 -72 57.5 -143.5t76 -130t83 -118t82.5 -117t70 -116t49.5 -126t18.5 -136.5q0 -71 -25.5 -135t-68.5 -111t-99 -82t-118.5 -54t-125.5 -23q-84 5 -161.5 34t-139.5 78.5t-99 125t-37 164.5q0 69 18 136.5t49.5 126.5t69.5 116.5t81.5 117.5t83.5 119 t76.5 131t58.5 143zM344 710q-23 -33 -43.5 -70.5t-40.5 -102.5t-17 -123q1 -37 14.5 -69.5t30 -52t41 -37t38.5 -24.5t33 -15q21 -7 32 -1t13 22l6 34q2 10 -2.5 22t-13.5 19q-5 4 -14 12t-29.5 40.5t-32.5 73.5q-26 89 6 271q2 11 -6 11q-8 1 -15 -10z" />
<glyph unicode="&#xe065;" d="M1000 1013l108 115q2 1 5 2t13 2t20.5 -1t25 -9.5t28.5 -21.5q22 -22 27 -43t0 -32l-6 -10l-108 -115zM350 1100h400q50 0 105 -13l-187 -187h-368q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v182l200 200v-332 q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM1009 803l-362 -362l-161 -50l55 170l355 355z" />
<glyph unicode="&#xe066;" d="M350 1100h361q-164 -146 -216 -200h-195q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5l200 153v-103q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M824 1073l339 -301q8 -7 8 -17.5t-8 -17.5l-340 -306q-7 -6 -12.5 -4t-6.5 11v203q-26 1 -54.5 0t-78.5 -7.5t-92 -17.5t-86 -35t-70 -57q10 59 33 108t51.5 81.5t65 58.5t68.5 40.5t67 24.5t56 13.5t40 4.5v210q1 10 6.5 12.5t13.5 -4.5z" />
<glyph unicode="&#xe067;" d="M350 1100h350q60 0 127 -23l-178 -177h-349q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v69l200 200v-219q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M643 639l395 395q7 7 17.5 7t17.5 -7l101 -101q7 -7 7 -17.5t-7 -17.5l-531 -532q-7 -7 -17.5 -7t-17.5 7l-248 248q-7 7 -7 17.5t7 17.5l101 101q7 7 17.5 7t17.5 -7l111 -111q8 -7 18 -7t18 7z" />
<glyph unicode="&#xe068;" d="M318 918l264 264q8 8 18 8t18 -8l260 -264q7 -8 4.5 -13t-12.5 -5h-170v-200h200v173q0 10 5 12t13 -5l264 -260q8 -7 8 -17.5t-8 -17.5l-264 -265q-8 -7 -13 -5t-5 12v173h-200v-200h170q10 0 12.5 -5t-4.5 -13l-260 -264q-8 -8 -18 -8t-18 8l-264 264q-8 8 -5.5 13 t12.5 5h175v200h-200v-173q0 -10 -5 -12t-13 5l-264 265q-8 7 -8 17.5t8 17.5l264 260q8 7 13 5t5 -12v-173h200v200h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe069;" d="M250 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe070;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5 t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe071;" d="M1200 1050v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-492 480q-15 14 -15 35t15 35l492 480q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25z" />
<glyph unicode="&#xe072;" d="M243 1074l814 -498q18 -11 18 -26t-18 -26l-814 -498q-18 -11 -30.5 -4t-12.5 28v1000q0 21 12.5 28t30.5 -4z" />
<glyph unicode="&#xe073;" d="M250 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM650 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe074;" d="M1100 950v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe075;" d="M500 612v438q0 21 10.5 25t25.5 -10l492 -480q15 -14 15 -35t-15 -35l-492 -480q-15 -14 -25.5 -10t-10.5 25v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10z" />
<glyph unicode="&#xe076;" d="M1048 1102l100 1q20 0 35 -14.5t15 -35.5l5 -1000q0 -21 -14.5 -35.5t-35.5 -14.5l-100 -1q-21 0 -35.5 14.5t-14.5 35.5l-2 437l-463 -454q-14 -15 -24.5 -10.5t-10.5 25.5l-2 437l-462 -455q-15 -14 -25.5 -9.5t-10.5 24.5l-5 1000q0 21 10.5 25.5t25.5 -10.5l466 -450 l-2 438q0 20 10.5 24.5t25.5 -9.5l466 -451l-2 438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe077;" d="M850 1100h100q21 0 35.5 -14.5t14.5 -35.5v-1000q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10l464 -453v438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe078;" d="M686 1081l501 -540q15 -15 10.5 -26t-26.5 -11h-1042q-22 0 -26.5 11t10.5 26l501 540q15 15 36 15t36 -15zM150 400h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe079;" d="M885 900l-352 -353l352 -353l-197 -198l-552 552l552 550z" />
<glyph unicode="&#xe080;" d="M1064 547l-551 -551l-198 198l353 353l-353 353l198 198z" />
<glyph unicode="&#xe081;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM650 900h-100q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-150 q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5h150v-150q0 -21 14.5 -35.5t35.5 -14.5h100q21 0 35.5 14.5t14.5 35.5v150h150q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-150v150q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe082;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM850 700h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5 t35.5 -14.5h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe083;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM741.5 913q-12.5 0 -21.5 -9l-120 -120l-120 120q-9 9 -21.5 9 t-21.5 -9l-141 -141q-9 -9 -9 -21.5t9 -21.5l120 -120l-120 -120q-9 -9 -9 -21.5t9 -21.5l141 -141q9 -9 21.5 -9t21.5 9l120 120l120 -120q9 -9 21.5 -9t21.5 9l141 141q9 9 9 21.5t-9 21.5l-120 120l120 120q9 9 9 21.5t-9 21.5l-141 141q-9 9 -21.5 9z" />
<glyph unicode="&#xe084;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM546 623l-84 85q-7 7 -17.5 7t-18.5 -7l-139 -139q-7 -8 -7 -18t7 -18 l242 -241q7 -8 17.5 -8t17.5 8l375 375q7 7 7 17.5t-7 18.5l-139 139q-7 7 -17.5 7t-17.5 -7z" />
<glyph unicode="&#xe085;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM588 941q-29 0 -59 -5.5t-63 -20.5t-58 -38.5t-41.5 -63t-16.5 -89.5 q0 -25 20 -25h131q30 -5 35 11q6 20 20.5 28t45.5 8q20 0 31.5 -10.5t11.5 -28.5q0 -23 -7 -34t-26 -18q-1 0 -13.5 -4t-19.5 -7.5t-20 -10.5t-22 -17t-18.5 -24t-15.5 -35t-8 -46q-1 -8 5.5 -16.5t20.5 -8.5h173q7 0 22 8t35 28t37.5 48t29.5 74t12 100q0 47 -17 83 t-42.5 57t-59.5 34.5t-64 18t-59 4.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe086;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM675 1000h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5 t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5zM675 700h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h75v-200h-75q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h350q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5 t-17.5 7.5h-75v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe087;" d="M525 1200h150q10 0 17.5 -7.5t7.5 -17.5v-194q103 -27 178.5 -102.5t102.5 -178.5h194q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-194q-27 -103 -102.5 -178.5t-178.5 -102.5v-194q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v194 q-103 27 -178.5 102.5t-102.5 178.5h-194q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h194q27 103 102.5 178.5t178.5 102.5v194q0 10 7.5 17.5t17.5 7.5zM700 893v-168q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v168q-68 -23 -119 -74 t-74 -119h168q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-168q23 -68 74 -119t119 -74v168q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-168q68 23 119 74t74 119h-168q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h168 q-23 68 -74 119t-119 74z" />
<glyph unicode="&#xe088;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM759 823l64 -64q7 -7 7 -17.5t-7 -17.5l-124 -124l124 -124q7 -7 7 -17.5t-7 -17.5l-64 -64q-7 -7 -17.5 -7t-17.5 7l-124 124l-124 -124q-7 -7 -17.5 -7t-17.5 7l-64 64 q-7 7 -7 17.5t7 17.5l124 124l-124 124q-7 7 -7 17.5t7 17.5l64 64q7 7 17.5 7t17.5 -7l124 -124l124 124q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe089;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM782 788l106 -106q7 -7 7 -17.5t-7 -17.5l-320 -321q-8 -7 -18 -7t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l197 197q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe090;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5q0 -120 65 -225 l587 587q-105 65 -225 65zM965 819l-584 -584q104 -62 219 -62q116 0 214.5 57t155.5 155.5t57 214.5q0 115 -62 219z" />
<glyph unicode="&#xe091;" d="M39 582l522 427q16 13 27.5 8t11.5 -26v-291h550q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-550v-291q0 -21 -11.5 -26t-27.5 8l-522 427q-16 13 -16 32t16 32z" />
<glyph unicode="&#xe092;" d="M639 1009l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291h-550q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h550v291q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe093;" d="M682 1161l427 -522q13 -16 8 -27.5t-26 -11.5h-291v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v550h-291q-21 0 -26 11.5t8 27.5l427 522q13 16 32 16t32 -16z" />
<glyph unicode="&#xe094;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-550h291q21 0 26 -11.5t-8 -27.5l-427 -522q-13 -16 -32 -16t-32 16l-427 522q-13 16 -8 27.5t26 11.5h291v550q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe095;" d="M639 1109l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291q-94 -2 -182 -20t-170.5 -52t-147 -92.5t-100.5 -135.5q5 105 27 193.5t67.5 167t113 135t167 91.5t225.5 42v262q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe096;" d="M850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5zM350 0h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249 q8 7 18 7t18 -7l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5z" />
<glyph unicode="&#xe097;" d="M1014 1120l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249q8 7 18 7t18 -7zM250 600h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5z" />
<glyph unicode="&#xe101;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM704 900h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5 t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe102;" d="M260 1200q9 0 19 -2t15 -4l5 -2q22 -10 44 -23l196 -118q21 -13 36 -24q29 -21 37 -12q11 13 49 35l196 118q22 13 45 23q17 7 38 7q23 0 47 -16.5t37 -33.5l13 -16q14 -21 18 -45l25 -123l8 -44q1 -9 8.5 -14.5t17.5 -5.5h61q10 0 17.5 -7.5t7.5 -17.5v-50 q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 -7.5t-7.5 -17.5v-175h-400v300h-200v-300h-400v175q0 10 -7.5 17.5t-17.5 7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5h61q11 0 18 3t7 8q0 4 9 52l25 128q5 25 19 45q2 3 5 7t13.5 15t21.5 19.5t26.5 15.5 t29.5 7zM915 1079l-166 -162q-7 -7 -5 -12t12 -5h219q10 0 15 7t2 17l-51 149q-3 10 -11 12t-15 -6zM463 917l-177 157q-8 7 -16 5t-11 -12l-51 -143q-3 -10 2 -17t15 -7h231q11 0 12.5 5t-5.5 12zM500 0h-375q-10 0 -17.5 7.5t-7.5 17.5v375h400v-400zM1100 400v-375 q0 -10 -7.5 -17.5t-17.5 -7.5h-375v400h400z" />
<glyph unicode="&#xe103;" d="M1165 1190q8 3 21 -6.5t13 -17.5q-2 -178 -24.5 -323.5t-55.5 -245.5t-87 -174.5t-102.5 -118.5t-118 -68.5t-118.5 -33t-120 -4.5t-105 9.5t-90 16.5q-61 12 -78 11q-4 1 -12.5 0t-34 -14.5t-52.5 -40.5l-153 -153q-26 -24 -37 -14.5t-11 43.5q0 64 42 102q8 8 50.5 45 t66.5 58q19 17 35 47t13 61q-9 55 -10 102.5t7 111t37 130t78 129.5q39 51 80 88t89.5 63.5t94.5 45t113.5 36t129 31t157.5 37t182 47.5zM1116 1098q-8 9 -22.5 -3t-45.5 -50q-38 -47 -119 -103.5t-142 -89.5l-62 -33q-56 -30 -102 -57t-104 -68t-102.5 -80.5t-85.5 -91 t-64 -104.5q-24 -56 -31 -86t2 -32t31.5 17.5t55.5 59.5q25 30 94 75.5t125.5 77.5t147.5 81q70 37 118.5 69t102 79.5t99 111t86.5 148.5q22 50 24 60t-6 19z" />
<glyph unicode="&#xe104;" d="M653 1231q-39 -67 -54.5 -131t-10.5 -114.5t24.5 -96.5t47.5 -80t63.5 -62.5t68.5 -46.5t65 -30q-4 7 -17.5 35t-18.5 39.5t-17 39.5t-17 43t-13 42t-9.5 44.5t-2 42t4 43t13.5 39t23 38.5q96 -42 165 -107.5t105 -138t52 -156t13 -159t-19 -149.5q-13 -55 -44 -106.5 t-68 -87t-78.5 -64.5t-72.5 -45t-53 -22q-72 -22 -127 -11q-31 6 -13 19q6 3 17 7q13 5 32.5 21t41 44t38.5 63.5t21.5 81.5t-6.5 94.5t-50 107t-104 115.5q10 -104 -0.5 -189t-37 -140.5t-65 -93t-84 -52t-93.5 -11t-95 24.5q-80 36 -131.5 114t-53.5 171q-2 23 0 49.5 t4.5 52.5t13.5 56t27.5 60t46 64.5t69.5 68.5q-8 -53 -5 -102.5t17.5 -90t34 -68.5t44.5 -39t49 -2q31 13 38.5 36t-4.5 55t-29 64.5t-36 75t-26 75.5q-15 85 2 161.5t53.5 128.5t85.5 92.5t93.5 61t81.5 25.5z" />
<glyph unicode="&#xe105;" d="M600 1094q82 0 160.5 -22.5t140 -59t116.5 -82.5t94.5 -95t68 -95t42.5 -82.5t14 -57.5t-14 -57.5t-43 -82.5t-68.5 -95t-94.5 -95t-116.5 -82.5t-140 -59t-159.5 -22.5t-159.5 22.5t-140 59t-116.5 82.5t-94.5 95t-68.5 95t-43 82.5t-14 57.5t14 57.5t42.5 82.5t68 95 t94.5 95t116.5 82.5t140 59t160.5 22.5zM888 829q-15 15 -18 12t5 -22q25 -57 25 -119q0 -124 -88 -212t-212 -88t-212 88t-88 212q0 59 23 114q8 19 4.5 22t-17.5 -12q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q22 -36 47 -71t70 -82t92.5 -81t113 -58.5t133.5 -24.5 t133.5 24t113 58.5t92.5 81.5t70 81.5t47 70.5q11 18 9 42.5t-14 41.5q-90 117 -163 189zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l35 34q14 15 12.5 33.5t-16.5 33.5q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe106;" d="M592 0h-148l31 120q-91 20 -175.5 68.5t-143.5 106.5t-103.5 119t-66.5 110t-22 76q0 21 14 57.5t42.5 82.5t68 95t94.5 95t116.5 82.5t140 59t160.5 22.5q61 0 126 -15l32 121h148zM944 770l47 181q108 -85 176.5 -192t68.5 -159q0 -26 -19.5 -71t-59.5 -102t-93 -112 t-129 -104.5t-158 -75.5l46 173q77 49 136 117t97 131q11 18 9 42.5t-14 41.5q-54 70 -107 130zM310 824q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q18 -30 39 -60t57 -70.5t74 -73t90 -61t105 -41.5l41 154q-107 18 -178.5 101.5t-71.5 193.5q0 59 23 114q8 19 4.5 22 t-17.5 -12zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l12 11l22 86l-3 4q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe107;" d="M-90 100l642 1066q20 31 48 28.5t48 -35.5l642 -1056q21 -32 7.5 -67.5t-50.5 -35.5h-1294q-37 0 -50.5 34t7.5 66zM155 200h345v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h345l-445 723zM496 700h208q20 0 32 -14.5t8 -34.5l-58 -252 q-4 -20 -21.5 -34.5t-37.5 -14.5h-54q-20 0 -37.5 14.5t-21.5 34.5l-58 252q-4 20 8 34.5t32 14.5z" />
<glyph unicode="&#xe108;" d="M650 1200q62 0 106 -44t44 -106v-339l363 -325q15 -14 26 -38.5t11 -44.5v-41q0 -20 -12 -26.5t-29 5.5l-359 249v-263q100 -93 100 -113v-64q0 -21 -13 -29t-32 1l-205 128l-205 -128q-19 -9 -32 -1t-13 29v64q0 20 100 113v263l-359 -249q-17 -12 -29 -5.5t-12 26.5v41 q0 20 11 44.5t26 38.5l363 325v339q0 62 44 106t106 44z" />
<glyph unicode="&#xe109;" d="M850 1200h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-150h-1100v150q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5h100q21 0 35.5 -14.5t14.5 -35.5v-50h500v50q0 21 14.5 35.5t35.5 14.5zM1100 800v-750q0 -21 -14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v750h1100zM100 600v-100h100v100h-100zM300 600v-100h100v100h-100zM500 600v-100h100v100h-100zM700 600v-100h100v100h-100zM900 600v-100h100v100h-100zM100 400v-100h100v100h-100zM300 400v-100h100v100h-100zM500 400 v-100h100v100h-100zM700 400v-100h100v100h-100zM900 400v-100h100v100h-100zM100 200v-100h100v100h-100zM300 200v-100h100v100h-100zM500 200v-100h100v100h-100zM700 200v-100h100v100h-100zM900 200v-100h100v100h-100z" />
<glyph unicode="&#xe110;" d="M1135 1165l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-159l-600 -600h-291q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h209l600 600h241v150q0 21 10.5 25t24.5 -10zM522 819l-141 -141l-122 122h-209q-21 0 -35.5 14.5 t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h291zM1135 565l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-241l-181 181l141 141l122 -122h159v150q0 21 10.5 25t24.5 -10z" />
<glyph unicode="&#xe111;" d="M100 1100h1000q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-596l-304 -300v300h-100q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5z" />
<glyph unicode="&#xe112;" d="M150 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM850 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM1100 800v-300q0 -41 -3 -77.5t-15 -89.5t-32 -96t-58 -89t-89 -77t-129 -51t-174 -20t-174 20 t-129 51t-89 77t-58 89t-32 96t-15 89.5t-3 77.5v300h300v-250v-27v-42.5t1.5 -41t5 -38t10 -35t16.5 -30t25.5 -24.5t35 -19t46.5 -12t60 -4t60 4.5t46.5 12.5t35 19.5t25 25.5t17 30.5t10 35t5 38t2 40.5t-0.5 42v25v250h300z" />
<glyph unicode="&#xe113;" d="M1100 411l-198 -199l-353 353l-353 -353l-197 199l551 551z" />
<glyph unicode="&#xe114;" d="M1101 789l-550 -551l-551 551l198 199l353 -353l353 353z" />
<glyph unicode="&#xe115;" d="M404 1000h746q21 0 35.5 -14.5t14.5 -35.5v-551h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v401h-381zM135 984l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-400h385l215 -200h-750q-21 0 -35.5 14.5 t-14.5 35.5v550h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe116;" d="M56 1200h94q17 0 31 -11t18 -27l38 -162h896q24 0 39 -18.5t10 -42.5l-100 -475q-5 -21 -27 -42.5t-55 -21.5h-633l48 -200h535q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-50q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-300v-50 q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-31q-18 0 -32.5 10t-20.5 19l-5 10l-201 961h-54q-20 0 -35 14.5t-15 35.5t15 35.5t35 14.5z" />
<glyph unicode="&#xe117;" d="M1200 1000v-100h-1200v100h200q0 41 29.5 70.5t70.5 29.5h300q41 0 70.5 -29.5t29.5 -70.5h500zM0 800h1200v-800h-1200v800z" />
<glyph unicode="&#xe118;" d="M200 800l-200 -400v600h200q0 41 29.5 70.5t70.5 29.5h300q42 0 71 -29.5t29 -70.5h500v-200h-1000zM1500 700l-300 -700h-1200l300 700h1200z" />
<glyph unicode="&#xe119;" d="M635 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-601h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v601h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe120;" d="M936 864l249 -229q14 -15 14 -35.5t-14 -35.5l-249 -229q-15 -15 -25.5 -10.5t-10.5 24.5v151h-600v-151q0 -20 -10.5 -24.5t-25.5 10.5l-249 229q-14 15 -14 35.5t14 35.5l249 229q15 15 25.5 10.5t10.5 -25.5v-149h600v149q0 21 10.5 25.5t25.5 -10.5z" />
<glyph unicode="&#xe121;" d="M1169 400l-172 732q-5 23 -23 45.5t-38 22.5h-672q-20 0 -38 -20t-23 -41l-172 -739h1138zM1100 300h-1000q-41 0 -70.5 -29.5t-29.5 -70.5v-100q0 -41 29.5 -70.5t70.5 -29.5h1000q41 0 70.5 29.5t29.5 70.5v100q0 41 -29.5 70.5t-70.5 29.5zM800 100v100h100v-100h-100 zM1000 100v100h100v-100h-100z" />
<glyph unicode="&#xe122;" d="M1150 1100q21 0 35.5 -14.5t14.5 -35.5v-850q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v850q0 21 14.5 35.5t35.5 14.5zM1000 200l-675 200h-38l47 -276q3 -16 -5.5 -20t-29.5 -4h-7h-84q-20 0 -34.5 14t-18.5 35q-55 337 -55 351v250v6q0 16 1 23.5t6.5 14 t17.5 6.5h200l675 250v-850zM0 750v-250q-4 0 -11 0.5t-24 6t-30 15t-24 30t-11 48.5v50q0 26 10.5 46t25 30t29 16t25.5 7z" />
<glyph unicode="&#xe123;" d="M553 1200h94q20 0 29 -10.5t3 -29.5l-18 -37q83 -19 144 -82.5t76 -140.5l63 -327l118 -173h17q19 0 33 -14.5t14 -35t-13 -40.5t-31 -27q-8 -4 -23 -9.5t-65 -19.5t-103 -25t-132.5 -20t-158.5 -9q-57 0 -115 5t-104 12t-88.5 15.5t-73.5 17.5t-54.5 16t-35.5 12l-11 4 q-18 8 -31 28t-13 40.5t14 35t33 14.5h17l118 173l63 327q15 77 76 140t144 83l-18 32q-6 19 3.5 32t28.5 13zM498 110q50 -6 102 -6q53 0 102 6q-12 -49 -39.5 -79.5t-62.5 -30.5t-63 30.5t-39 79.5z" />
<glyph unicode="&#xe124;" d="M800 946l224 78l-78 -224l234 -45l-180 -155l180 -155l-234 -45l78 -224l-224 78l-45 -234l-155 180l-155 -180l-45 234l-224 -78l78 224l-234 45l180 155l-180 155l234 45l-78 224l224 -78l45 234l155 -180l155 180z" />
<glyph unicode="&#xe125;" d="M650 1200h50q40 0 70 -40.5t30 -84.5v-150l-28 -125h328q40 0 70 -40.5t30 -84.5v-100q0 -45 -29 -74l-238 -344q-16 -24 -38 -40.5t-45 -16.5h-250q-7 0 -42 25t-66 50l-31 25h-61q-45 0 -72.5 18t-27.5 57v400q0 36 20 63l145 196l96 198q13 28 37.5 48t51.5 20z M650 1100l-100 -212l-150 -213v-375h100l136 -100h214l250 375v125h-450l50 225v175h-50zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe126;" d="M600 1100h250q23 0 45 -16.5t38 -40.5l238 -344q29 -29 29 -74v-100q0 -44 -30 -84.5t-70 -40.5h-328q28 -118 28 -125v-150q0 -44 -30 -84.5t-70 -40.5h-50q-27 0 -51.5 20t-37.5 48l-96 198l-145 196q-20 27 -20 63v400q0 39 27.5 57t72.5 18h61q124 100 139 100z M50 1000h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM636 1000l-136 -100h-100v-375l150 -213l100 -212h50v175l-50 225h450v125l-250 375h-214z" />
<glyph unicode="&#xe127;" d="M356 873l363 230q31 16 53 -6l110 -112q13 -13 13.5 -32t-11.5 -34l-84 -121h302q84 0 138 -38t54 -110t-55 -111t-139 -39h-106l-131 -339q-6 -21 -19.5 -41t-28.5 -20h-342q-7 0 -90 81t-83 94v525q0 17 14 35.5t28 28.5zM400 792v-503l100 -89h293l131 339 q6 21 19.5 41t28.5 20h203q21 0 30.5 25t0.5 50t-31 25h-456h-7h-6h-5.5t-6 0.5t-5 1.5t-5 2t-4 2.5t-4 4t-2.5 4.5q-12 25 5 47l146 183l-86 83zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe128;" d="M475 1103l366 -230q2 -1 6 -3.5t14 -10.5t18 -16.5t14.5 -20t6.5 -22.5v-525q0 -13 -86 -94t-93 -81h-342q-15 0 -28.5 20t-19.5 41l-131 339h-106q-85 0 -139.5 39t-54.5 111t54 110t138 38h302l-85 121q-11 15 -10.5 34t13.5 32l110 112q22 22 53 6zM370 945l146 -183 q17 -22 5 -47q-2 -2 -3.5 -4.5t-4 -4t-4 -2.5t-5 -2t-5 -1.5t-6 -0.5h-6h-6.5h-6h-475v-100h221q15 0 29 -20t20 -41l130 -339h294l106 89v503l-342 236zM1050 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5 v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe129;" d="M550 1294q72 0 111 -55t39 -139v-106l339 -131q21 -6 41 -19.5t20 -28.5v-342q0 -7 -81 -90t-94 -83h-525q-17 0 -35.5 14t-28.5 28l-9 14l-230 363q-16 31 6 53l112 110q13 13 32 13.5t34 -11.5l121 -84v302q0 84 38 138t110 54zM600 972v203q0 21 -25 30.5t-50 0.5 t-25 -31v-456v-7v-6v-5.5t-0.5 -6t-1.5 -5t-2 -5t-2.5 -4t-4 -4t-4.5 -2.5q-25 -12 -47 5l-183 146l-83 -86l236 -339h503l89 100v293l-339 131q-21 6 -41 19.5t-20 28.5zM450 200h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe130;" d="M350 1100h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5zM600 306v-106q0 -84 -39 -139t-111 -55t-110 54t-38 138v302l-121 -84q-15 -12 -34 -11.5t-32 13.5l-112 110 q-22 22 -6 53l230 363q1 2 3.5 6t10.5 13.5t16.5 17t20 13.5t22.5 6h525q13 0 94 -83t81 -90v-342q0 -15 -20 -28.5t-41 -19.5zM308 900l-236 -339l83 -86l183 146q22 17 47 5q2 -1 4.5 -2.5t4 -4t2.5 -4t2 -5t1.5 -5t0.5 -6v-5.5v-6v-7v-456q0 -22 25 -31t50 0.5t25 30.5 v203q0 15 20 28.5t41 19.5l339 131v293l-89 100h-503z" />
<glyph unicode="&#xe131;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM914 632l-275 223q-16 13 -27.5 8t-11.5 -26v-137h-275 q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h275v-137q0 -21 11.5 -26t27.5 8l275 223q16 13 16 32t-16 32z" />
<glyph unicode="&#xe132;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM561 855l-275 -223q-16 -13 -16 -32t16 -32l275 -223q16 -13 27.5 -8 t11.5 26v137h275q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5h-275v137q0 21 -11.5 26t-27.5 -8z" />
<glyph unicode="&#xe133;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM855 639l-223 275q-13 16 -32 16t-32 -16l-223 -275q-13 -16 -8 -27.5 t26 -11.5h137v-275q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v275h137q21 0 26 11.5t-8 27.5z" />
<glyph unicode="&#xe134;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM675 900h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-275h-137q-21 0 -26 -11.5 t8 -27.5l223 -275q13 -16 32 -16t32 16l223 275q13 16 8 27.5t-26 11.5h-137v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe135;" d="M600 1176q116 0 222.5 -46t184 -123.5t123.5 -184t46 -222.5t-46 -222.5t-123.5 -184t-184 -123.5t-222.5 -46t-222.5 46t-184 123.5t-123.5 184t-46 222.5t46 222.5t123.5 184t184 123.5t222.5 46zM627 1101q-15 -12 -36.5 -20.5t-35.5 -12t-43 -8t-39 -6.5 q-15 -3 -45.5 0t-45.5 -2q-20 -7 -51.5 -26.5t-34.5 -34.5q-3 -11 6.5 -22.5t8.5 -18.5q-3 -34 -27.5 -91t-29.5 -79q-9 -34 5 -93t8 -87q0 -9 17 -44.5t16 -59.5q12 0 23 -5t23.5 -15t19.5 -14q16 -8 33 -15t40.5 -15t34.5 -12q21 -9 52.5 -32t60 -38t57.5 -11 q7 -15 -3 -34t-22.5 -40t-9.5 -38q13 -21 23 -34.5t27.5 -27.5t36.5 -18q0 -7 -3.5 -16t-3.5 -14t5 -17q104 -2 221 112q30 29 46.5 47t34.5 49t21 63q-13 8 -37 8.5t-36 7.5q-15 7 -49.5 15t-51.5 19q-18 0 -41 -0.5t-43 -1.5t-42 -6.5t-38 -16.5q-51 -35 -66 -12 q-4 1 -3.5 25.5t0.5 25.5q-6 13 -26.5 17.5t-24.5 6.5q1 15 -0.5 30.5t-7 28t-18.5 11.5t-31 -21q-23 -25 -42 4q-19 28 -8 58q6 16 22 22q6 -1 26 -1.5t33.5 -4t19.5 -13.5q7 -12 18 -24t21.5 -20.5t20 -15t15.5 -10.5l5 -3q2 12 7.5 30.5t8 34.5t-0.5 32q-3 18 3.5 29 t18 22.5t15.5 24.5q6 14 10.5 35t8 31t15.5 22.5t34 22.5q-6 18 10 36q8 0 24 -1.5t24.5 -1.5t20 4.5t20.5 15.5q-10 23 -31 42.5t-37.5 29.5t-49 27t-43.5 23q0 1 2 8t3 11.5t1.5 10.5t-1 9.5t-4.5 4.5q31 -13 58.5 -14.5t38.5 2.5l12 5q5 28 -9.5 46t-36.5 24t-50 15 t-41 20q-18 -4 -37 0zM613 994q0 -17 8 -42t17 -45t9 -23q-8 1 -39.5 5.5t-52.5 10t-37 16.5q3 11 16 29.5t16 25.5q10 -10 19 -10t14 6t13.5 14.5t16.5 12.5z" />
<glyph unicode="&#xe136;" d="M756 1157q164 92 306 -9l-259 -138l145 -232l251 126q6 -89 -34 -156.5t-117 -110.5q-60 -34 -127 -39.5t-126 16.5l-596 -596q-15 -16 -36.5 -16t-36.5 16l-111 110q-15 15 -15 36.5t15 37.5l600 599q-34 101 5.5 201.5t135.5 154.5z" />
<glyph unicode="&#xe137;" horiz-adv-x="1220" d="M100 1196h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 1096h-200v-100h200v100zM100 796h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 696h-500v-100h500v100zM100 396h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 296h-300v-100h300v100z " />
<glyph unicode="&#xe138;" d="M150 1200h900q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM700 500v-300l-200 -200v500l-350 500h900z" />
<glyph unicode="&#xe139;" d="M500 1200h200q41 0 70.5 -29.5t29.5 -70.5v-100h300q41 0 70.5 -29.5t29.5 -70.5v-400h-500v100h-200v-100h-500v400q0 41 29.5 70.5t70.5 29.5h300v100q0 41 29.5 70.5t70.5 29.5zM500 1100v-100h200v100h-200zM1200 400v-200q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v200h1200z" />
<glyph unicode="&#xe140;" d="M50 1200h300q21 0 25 -10.5t-10 -24.5l-94 -94l199 -199q7 -8 7 -18t-7 -18l-106 -106q-8 -7 -18 -7t-18 7l-199 199l-94 -94q-14 -14 -24.5 -10t-10.5 25v300q0 21 14.5 35.5t35.5 14.5zM850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-199 -199q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l199 199l-94 94q-14 14 -10 24.5t25 10.5zM364 470l106 -106q7 -8 7 -18t-7 -18l-199 -199l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l199 199 q8 7 18 7t18 -7zM1071 271l94 94q14 14 24.5 10t10.5 -25v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -25 10.5t10 24.5l94 94l-199 199q-7 8 -7 18t7 18l106 106q8 7 18 7t18 -7z" />
<glyph unicode="&#xe141;" d="M596 1192q121 0 231.5 -47.5t190 -127t127 -190t47.5 -231.5t-47.5 -231.5t-127 -190.5t-190 -127t-231.5 -47t-231.5 47t-190.5 127t-127 190.5t-47 231.5t47 231.5t127 190t190.5 127t231.5 47.5zM596 1010q-112 0 -207.5 -55.5t-151 -151t-55.5 -207.5t55.5 -207.5 t151 -151t207.5 -55.5t207.5 55.5t151 151t55.5 207.5t-55.5 207.5t-151 151t-207.5 55.5zM454.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38.5 -16.5t-38.5 16.5t-16 39t16 38.5t38.5 16zM754.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38 -16.5q-14 0 -29 10l-55 -145 q17 -23 17 -51q0 -36 -25.5 -61.5t-61.5 -25.5t-61.5 25.5t-25.5 61.5q0 32 20.5 56.5t51.5 29.5l122 126l1 1q-9 14 -9 28q0 23 16 39t38.5 16zM345.5 709q22.5 0 38.5 -16t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16zM854.5 709q22.5 0 38.5 -16 t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16z" />
<glyph unicode="&#xe142;" d="M546 173l469 470q91 91 99 192q7 98 -52 175.5t-154 94.5q-22 4 -47 4q-34 0 -66.5 -10t-56.5 -23t-55.5 -38t-48 -41.5t-48.5 -47.5q-376 -375 -391 -390q-30 -27 -45 -41.5t-37.5 -41t-32 -46.5t-16 -47.5t-1.5 -56.5q9 -62 53.5 -95t99.5 -33q74 0 125 51l548 548 q36 36 20 75q-7 16 -21.5 26t-32.5 10q-26 0 -50 -23q-13 -12 -39 -38l-341 -338q-15 -15 -35.5 -15.5t-34.5 13.5t-14 34.5t14 34.5q327 333 361 367q35 35 67.5 51.5t78.5 16.5q14 0 29 -1q44 -8 74.5 -35.5t43.5 -68.5q14 -47 2 -96.5t-47 -84.5q-12 -11 -32 -32 t-79.5 -81t-114.5 -115t-124.5 -123.5t-123 -119.5t-96.5 -89t-57 -45q-56 -27 -120 -27q-70 0 -129 32t-93 89q-48 78 -35 173t81 163l511 511q71 72 111 96q91 55 198 55q80 0 152 -33q78 -36 129.5 -103t66.5 -154q17 -93 -11 -183.5t-94 -156.5l-482 -476 q-15 -15 -36 -16t-37 14t-17.5 34t14.5 35z" />
<glyph unicode="&#xe143;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104zM896 972q-33 0 -64.5 -19t-56.5 -46t-47.5 -53.5t-43.5 -45.5t-37.5 -19t-36 19t-40 45.5t-43 53.5t-54 46t-65.5 19q-67 0 -122.5 -55.5t-55.5 -132.5q0 -23 13.5 -51t46 -65t57.5 -63t76 -75l22 -22q15 -14 44 -44t50.5 -51t46 -44t41 -35t23 -12 t23.5 12t42.5 36t46 44t52.5 52t44 43q4 4 12 13q43 41 63.5 62t52 55t46 55t26 46t11.5 44q0 79 -53 133.5t-120 54.5z" />
<glyph unicode="&#xe144;" d="M776.5 1214q93.5 0 159.5 -66l141 -141q66 -66 66 -160q0 -42 -28 -95.5t-62 -87.5l-29 -29q-31 53 -77 99l-18 18l95 95l-247 248l-389 -389l212 -212l-105 -106l-19 18l-141 141q-66 66 -66 159t66 159l283 283q65 66 158.5 66zM600 706l105 105q10 -8 19 -17l141 -141 q66 -66 66 -159t-66 -159l-283 -283q-66 -66 -159 -66t-159 66l-141 141q-66 66 -66 159.5t66 159.5l55 55q29 -55 75 -102l18 -17l-95 -95l247 -248l389 389z" />
<glyph unicode="&#xe145;" d="M603 1200q85 0 162 -15t127 -38t79 -48t29 -46v-953q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-41 0 -70.5 29.5t-29.5 70.5v953q0 21 30 46.5t81 48t129 37.5t163 15zM300 1000v-700h600v700h-600zM600 254q-43 0 -73.5 -30.5t-30.5 -73.5t30.5 -73.5t73.5 -30.5t73.5 30.5 t30.5 73.5t-30.5 73.5t-73.5 30.5z" />
<glyph unicode="&#xe146;" d="M902 1185l283 -282q15 -15 15 -36t-14.5 -35.5t-35.5 -14.5t-35 15l-36 35l-279 -267v-300l-212 210l-308 -307l-280 -203l203 280l307 308l-210 212h300l267 279l-35 36q-15 14 -15 35t14.5 35.5t35.5 14.5t35 -15z" />
<glyph unicode="&#xe148;" d="M700 1248v-78q38 -5 72.5 -14.5t75.5 -31.5t71 -53.5t52 -84t24 -118.5h-159q-4 36 -10.5 59t-21 45t-40 35.5t-64.5 20.5v-307l64 -13q34 -7 64 -16.5t70 -32t67.5 -52.5t47.5 -80t20 -112q0 -139 -89 -224t-244 -97v-77h-100v79q-150 16 -237 103q-40 40 -52.5 93.5 t-15.5 139.5h139q5 -77 48.5 -126t117.5 -65v335l-27 8q-46 14 -79 26.5t-72 36t-63 52t-40 72.5t-16 98q0 70 25 126t67.5 92t94.5 57t110 27v77h100zM600 754v274q-29 -4 -50 -11t-42 -21.5t-31.5 -41.5t-10.5 -65q0 -29 7 -50.5t16.5 -34t28.5 -22.5t31.5 -14t37.5 -10 q9 -3 13 -4zM700 547v-310q22 2 42.5 6.5t45 15.5t41.5 27t29 42t12 59.5t-12.5 59.5t-38 44.5t-53 31t-66.5 24.5z" />
<glyph unicode="&#xe149;" d="M561 1197q84 0 160.5 -40t123.5 -109.5t47 -147.5h-153q0 40 -19.5 71.5t-49.5 48.5t-59.5 26t-55.5 9q-37 0 -79 -14.5t-62 -35.5q-41 -44 -41 -101q0 -26 13.5 -63t26.5 -61t37 -66q6 -9 9 -14h241v-100h-197q8 -50 -2.5 -115t-31.5 -95q-45 -62 -99 -112 q34 10 83 17.5t71 7.5q32 1 102 -16t104 -17q83 0 136 30l50 -147q-31 -19 -58 -30.5t-55 -15.5t-42 -4.5t-46 -0.5q-23 0 -76 17t-111 32.5t-96 11.5q-39 -3 -82 -16t-67 -25l-23 -11l-55 145q4 3 16 11t15.5 10.5t13 9t15.5 12t14.5 14t17.5 18.5q48 55 54 126.5 t-30 142.5h-221v100h166q-23 47 -44 104q-7 20 -12 41.5t-6 55.5t6 66.5t29.5 70.5t58.5 71q97 88 263 88z" />
<glyph unicode="&#xe150;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM935 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-900h-200v900h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe151;" d="M1000 700h-100v100h-100v-100h-100v500h300v-500zM400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM801 1100v-200h100v200h-100zM1000 350l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150z " />
<glyph unicode="&#xe152;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 1050l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150zM1000 0h-100v100h-100v-100h-100v500h300v-500zM801 400v-200h100v200h-100z " />
<glyph unicode="&#xe153;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 700h-100v400h-100v100h200v-500zM1100 0h-100v100h-200v400h300v-500zM901 400v-200h100v200h-100z" />
<glyph unicode="&#xe154;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1100 700h-100v100h-200v400h300v-500zM901 1100v-200h100v200h-100zM1000 0h-100v400h-100v100h200v-500z" />
<glyph unicode="&#xe155;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM900 1000h-200v200h200v-200zM1000 700h-300v200h300v-200zM1100 400h-400v200h400v-200zM1200 100h-500v200h500v-200z" />
<glyph unicode="&#xe156;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1200 1000h-500v200h500v-200zM1100 700h-400v200h400v-200zM1000 400h-300v200h300v-200zM900 100h-200v200h200v-200z" />
<glyph unicode="&#xe157;" d="M350 1100h400q162 0 256 -93.5t94 -256.5v-400q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5z" />
<glyph unicode="&#xe158;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-163 0 -256.5 92.5t-93.5 257.5v400q0 163 94 256.5t256 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM440 770l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe159;" d="M350 1100h400q163 0 256.5 -94t93.5 -256v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 163 92.5 256.5t257.5 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM350 700h400q21 0 26.5 -12t-6.5 -28l-190 -253q-12 -17 -30 -17t-30 17l-190 253q-12 16 -6.5 28t26.5 12z" />
<glyph unicode="&#xe160;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -163 -92.5 -256.5t-257.5 -93.5h-400q-163 0 -256.5 94t-93.5 256v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM580 693l190 -253q12 -16 6.5 -28t-26.5 -12h-400q-21 0 -26.5 12t6.5 28l190 253q12 17 30 17t30 -17z" />
<glyph unicode="&#xe161;" d="M550 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h450q41 0 70.5 29.5t29.5 70.5v500q0 41 -29.5 70.5t-70.5 29.5h-450q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM338 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe162;" d="M793 1182l9 -9q8 -10 5 -27q-3 -11 -79 -225.5t-78 -221.5l300 1q24 0 32.5 -17.5t-5.5 -35.5q-1 0 -133.5 -155t-267 -312.5t-138.5 -162.5q-12 -15 -26 -15h-9l-9 8q-9 11 -4 32q2 9 42 123.5t79 224.5l39 110h-302q-23 0 -31 19q-10 21 6 41q75 86 209.5 237.5 t228 257t98.5 111.5q9 16 25 16h9z" />
<glyph unicode="&#xe163;" d="M350 1100h400q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-450q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h450q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400 q0 165 92.5 257.5t257.5 92.5zM938 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe164;" d="M750 1200h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -10.5 -25t-24.5 10l-109 109l-312 -312q-15 -15 -35.5 -15t-35.5 15l-141 141q-15 15 -15 35.5t15 35.5l312 312l-109 109q-14 14 -10 24.5t25 10.5zM456 900h-156q-41 0 -70.5 -29.5t-29.5 -70.5v-500 q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v148l200 200v-298q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5h300z" />
<glyph unicode="&#xe165;" d="M600 1186q119 0 227.5 -46.5t187 -125t125 -187t46.5 -227.5t-46.5 -227.5t-125 -187t-187 -125t-227.5 -46.5t-227.5 46.5t-187 125t-125 187t-46.5 227.5t46.5 227.5t125 187t187 125t227.5 46.5zM600 1022q-115 0 -212 -56.5t-153.5 -153.5t-56.5 -212t56.5 -212 t153.5 -153.5t212 -56.5t212 56.5t153.5 153.5t56.5 212t-56.5 212t-153.5 153.5t-212 56.5zM600 794q80 0 137 -57t57 -137t-57 -137t-137 -57t-137 57t-57 137t57 137t137 57z" />
<glyph unicode="&#xe166;" d="M450 1200h200q21 0 35.5 -14.5t14.5 -35.5v-350h245q20 0 25 -11t-9 -26l-383 -426q-14 -15 -33.5 -15t-32.5 15l-379 426q-13 15 -8.5 26t25.5 11h250v350q0 21 14.5 35.5t35.5 14.5zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe167;" d="M583 1182l378 -435q14 -15 9 -31t-26 -16h-244v-250q0 -20 -17 -35t-39 -15h-200q-20 0 -32 14.5t-12 35.5v250h-250q-20 0 -25.5 16.5t8.5 31.5l383 431q14 16 33.5 17t33.5 -14zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe168;" d="M396 723l369 369q7 7 17.5 7t17.5 -7l139 -139q7 -8 7 -18.5t-7 -17.5l-525 -525q-7 -8 -17.5 -8t-17.5 8l-292 291q-7 8 -7 18t7 18l139 139q8 7 18.5 7t17.5 -7zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50 h-100z" />
<glyph unicode="&#xe169;" d="M135 1023l142 142q14 14 35 14t35 -14l77 -77l-212 -212l-77 76q-14 15 -14 36t14 35zM655 855l210 210q14 14 24.5 10t10.5 -25l-2 -599q-1 -20 -15.5 -35t-35.5 -15l-597 -1q-21 0 -25 10.5t10 24.5l208 208l-154 155l212 212zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5 v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe170;" d="M350 1200l599 -2q20 -1 35 -15.5t15 -35.5l1 -597q0 -21 -10.5 -25t-24.5 10l-208 208l-155 -154l-212 212l155 154l-210 210q-14 14 -10 24.5t25 10.5zM524 512l-76 -77q-15 -14 -36 -14t-35 14l-142 142q-14 14 -14 35t14 35l77 77zM50 300h1000q21 0 35.5 -14.5 t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe171;" d="M1200 103l-483 276l-314 -399v423h-399l1196 796v-1096zM483 424v-230l683 953z" />
<glyph unicode="&#xe172;" d="M1100 1000v-850q0 -21 -14.5 -35.5t-35.5 -14.5h-150v400h-700v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200z" />
<glyph unicode="&#xe173;" d="M1100 1000l-2 -149l-299 -299l-95 95q-9 9 -21.5 9t-21.5 -9l-149 -147h-312v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1132 638l106 -106q7 -7 7 -17.5t-7 -17.5l-420 -421q-8 -7 -18 -7 t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l297 297q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe174;" d="M1100 1000v-269l-103 -103l-134 134q-15 15 -33.5 16.5t-34.5 -12.5l-266 -266h-329v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1202 572l70 -70q15 -15 15 -35.5t-15 -35.5l-131 -131 l131 -131q15 -15 15 -35.5t-15 -35.5l-70 -70q-15 -15 -35.5 -15t-35.5 15l-131 131l-131 -131q-15 -15 -35.5 -15t-35.5 15l-70 70q-15 15 -15 35.5t15 35.5l131 131l-131 131q-15 15 -15 35.5t15 35.5l70 70q15 15 35.5 15t35.5 -15l131 -131l131 131q15 15 35.5 15 t35.5 -15z" />
<glyph unicode="&#xe175;" d="M1100 1000v-300h-350q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-500v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM850 600h100q21 0 35.5 -14.5t14.5 -35.5v-250h150q21 0 25 -10.5t-10 -24.5 l-230 -230q-14 -14 -35 -14t-35 14l-230 230q-14 14 -10 24.5t25 10.5h150v250q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe176;" d="M1100 1000v-400l-165 165q-14 15 -35 15t-35 -15l-263 -265h-402v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM935 565l230 -229q14 -15 10 -25.5t-25 -10.5h-150v-250q0 -20 -14.5 -35 t-35.5 -15h-100q-21 0 -35.5 15t-14.5 35v250h-150q-21 0 -25 10.5t10 25.5l230 229q14 15 35 15t35 -15z" />
<glyph unicode="&#xe177;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-150h-1200v150q0 21 14.5 35.5t35.5 14.5zM1200 800v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v550h1200zM100 500v-200h400v200h-400z" />
<glyph unicode="&#xe178;" d="M935 1165l248 -230q14 -14 14 -35t-14 -35l-248 -230q-14 -14 -24.5 -10t-10.5 25v150h-400v200h400v150q0 21 10.5 25t24.5 -10zM200 800h-50q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v-200zM400 800h-100v200h100v-200zM18 435l247 230 q14 14 24.5 10t10.5 -25v-150h400v-200h-400v-150q0 -21 -10.5 -25t-24.5 10l-247 230q-15 14 -15 35t15 35zM900 300h-100v200h100v-200zM1000 500h51q20 0 34.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-34.5 -14.5h-51v200z" />
<glyph unicode="&#xe179;" d="M862 1073l276 116q25 18 43.5 8t18.5 -41v-1106q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v397q-4 1 -11 5t-24 17.5t-30 29t-24 42t-11 56.5v359q0 31 18.5 65t43.5 52zM550 1200q22 0 34.5 -12.5t14.5 -24.5l1 -13v-450q0 -28 -10.5 -59.5 t-25 -56t-29 -45t-25.5 -31.5l-10 -11v-447q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v447q-4 4 -11 11.5t-24 30.5t-30 46t-24 55t-11 60v450q0 2 0.5 5.5t4 12t8.5 15t14.5 12t22.5 5.5q20 0 32.5 -12.5t14.5 -24.5l3 -13v-350h100v350v5.5t2.5 12 t7 15t15 12t25.5 5.5q23 0 35.5 -12.5t13.5 -24.5l1 -13v-350h100v350q0 2 0.5 5.5t3 12t7 15t15 12t24.5 5.5z" />
<glyph unicode="&#xe180;" d="M1200 1100v-56q-4 0 -11 -0.5t-24 -3t-30 -7.5t-24 -15t-11 -24v-888q0 -22 25 -34.5t50 -13.5l25 -2v-56h-400v56q75 0 87.5 6.5t12.5 43.5v394h-500v-394q0 -37 12.5 -43.5t87.5 -6.5v-56h-400v56q4 0 11 0.5t24 3t30 7.5t24 15t11 24v888q0 22 -25 34.5t-50 13.5 l-25 2v56h400v-56q-75 0 -87.5 -6.5t-12.5 -43.5v-394h500v394q0 37 -12.5 43.5t-87.5 6.5v56h400z" />
<glyph unicode="&#xe181;" d="M675 1000h375q21 0 35.5 -14.5t14.5 -35.5v-150h-105l-295 -98v98l-200 200h-400l100 100h375zM100 900h300q41 0 70.5 -29.5t29.5 -70.5v-500q0 -41 -29.5 -70.5t-70.5 -29.5h-300q-41 0 -70.5 29.5t-29.5 70.5v500q0 41 29.5 70.5t70.5 29.5zM100 800v-200h300v200 h-300zM1100 535l-400 -133v163l400 133v-163zM100 500v-200h300v200h-300zM1100 398v-248q0 -21 -14.5 -35.5t-35.5 -14.5h-375l-100 -100h-375l-100 100h400l200 200h105z" />
<glyph unicode="&#xe182;" d="M17 1007l162 162q17 17 40 14t37 -22l139 -194q14 -20 11 -44.5t-20 -41.5l-119 -118q102 -142 228 -268t267 -227l119 118q17 17 42.5 19t44.5 -12l192 -136q19 -14 22.5 -37.5t-13.5 -40.5l-163 -162q-3 -1 -9.5 -1t-29.5 2t-47.5 6t-62.5 14.5t-77.5 26.5t-90 42.5 t-101.5 60t-111 83t-119 108.5q-74 74 -133.5 150.5t-94.5 138.5t-60 119.5t-34.5 100t-15 74.5t-4.5 48z" />
<glyph unicode="&#xe183;" d="M600 1100q92 0 175 -10.5t141.5 -27t108.5 -36.5t81.5 -40t53.5 -37t31 -27l9 -10v-200q0 -21 -14.5 -33t-34.5 -9l-202 34q-20 3 -34.5 20t-14.5 38v146q-141 24 -300 24t-300 -24v-146q0 -21 -14.5 -38t-34.5 -20l-202 -34q-20 -3 -34.5 9t-14.5 33v200q3 4 9.5 10.5 t31 26t54 37.5t80.5 39.5t109 37.5t141 26.5t175 10.5zM600 795q56 0 97 -9.5t60 -23.5t30 -28t12 -24l1 -10v-50l365 -303q14 -15 24.5 -40t10.5 -45v-212q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v212q0 20 10.5 45t24.5 40l365 303v50 q0 4 1 10.5t12 23t30 29t60 22.5t97 10z" />
<glyph unicode="&#xe184;" d="M1100 700l-200 -200h-600l-200 200v500h200v-200h200v200h200v-200h200v200h200v-500zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5 t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe185;" d="M700 1100h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-1000h300v1000q0 41 -29.5 70.5t-70.5 29.5zM1100 800h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-700h300v700q0 41 -29.5 70.5t-70.5 29.5zM400 0h-300v400q0 41 29.5 70.5t70.5 29.5h100q41 0 70.5 -29.5t29.5 -70.5v-400z " />
<glyph unicode="&#xe186;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe187;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 300h-100v200h-100v-200h-100v500h100v-200h100v200h100v-500zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe188;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-300h200v-100h-300v500h300v-100zM900 700h-200v-300h200v-100h-300v500h300v-100z" />
<glyph unicode="&#xe189;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 400l-300 150l300 150v-300zM900 550l-300 -150v300z" />
<glyph unicode="&#xe190;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM900 300h-700v500h700v-500zM800 700h-130q-38 0 -66.5 -43t-28.5 -108t27 -107t68 -42h130v300zM300 700v-300 h130q41 0 68 42t27 107t-28.5 108t-66.5 43h-130z" />
<glyph unicode="&#xe191;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 300h-100v400h-100v100h200v-500z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe192;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM300 700h200v-400h-300v500h100v-100zM900 300h-100v400h-100v100h200v-500zM300 600v-200h100v200h-100z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe193;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 500l-199 -200h-100v50l199 200v150h-200v100h300v-300zM900 300h-100v400h-100v100h200v-500zM701 300h-100 v100h100v-100z" />
<glyph unicode="&#xe194;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700h-300v-200h300v-100h-300l-100 100v200l100 100h300v-100z" />
<glyph unicode="&#xe195;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700v-100l-50 -50l100 -100v-50h-100l-100 100h-150v-100h-100v400h300zM500 700v-100h200v100h-200z" />
<glyph unicode="&#xe197;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -207t-85 -207t-205 -86.5h-128v250q0 21 -14.5 35.5t-35.5 14.5h-300q-21 0 -35.5 -14.5t-14.5 -35.5v-250h-222q-80 0 -136 57.5t-56 136.5q0 69 43 122.5t108 67.5q-2 19 -2 37q0 100 49 185 t134 134t185 49zM525 500h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -244q-13 -16 -32 -16t-32 16l-223 244q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe198;" d="M502 1089q110 0 201 -59.5t135 -156.5q43 15 89 15q121 0 206 -86.5t86 -206.5q0 -99 -60 -181t-150 -110l-378 360q-13 16 -31.5 16t-31.5 -16l-381 -365h-9q-79 0 -135.5 57.5t-56.5 136.5q0 69 43 122.5t108 67.5q-2 19 -2 38q0 100 49 184.5t133.5 134t184.5 49.5z M632 467l223 -228q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5q199 204 223 228q19 19 31.5 19t32.5 -19z" />
<glyph unicode="&#xe199;" d="M700 100v100h400l-270 300h170l-270 300h170l-300 333l-300 -333h170l-270 -300h170l-270 -300h400v-100h-50q-21 0 -35.5 -14.5t-14.5 -35.5v-50h400v50q0 21 -14.5 35.5t-35.5 14.5h-50z" />
<glyph unicode="&#xe200;" d="M600 1179q94 0 167.5 -56.5t99.5 -145.5q89 -6 150.5 -71.5t61.5 -155.5q0 -61 -29.5 -112.5t-79.5 -82.5q9 -29 9 -55q0 -74 -52.5 -126.5t-126.5 -52.5q-55 0 -100 30v-251q21 0 35.5 -14.5t14.5 -35.5v-50h-300v50q0 21 14.5 35.5t35.5 14.5v251q-45 -30 -100 -30 q-74 0 -126.5 52.5t-52.5 126.5q0 18 4 38q-47 21 -75.5 65t-28.5 97q0 74 52.5 126.5t126.5 52.5q5 0 23 -2q0 2 -1 10t-1 13q0 116 81.5 197.5t197.5 81.5z" />
<glyph unicode="&#xe201;" d="M1010 1010q111 -111 150.5 -260.5t0 -299t-150.5 -260.5q-83 -83 -191.5 -126.5t-218.5 -43.5t-218.5 43.5t-191.5 126.5q-111 111 -150.5 260.5t0 299t150.5 260.5q83 83 191.5 126.5t218.5 43.5t218.5 -43.5t191.5 -126.5zM476 1065q-4 0 -8 -1q-121 -34 -209.5 -122.5 t-122.5 -209.5q-4 -12 2.5 -23t18.5 -14l36 -9q3 -1 7 -1q23 0 29 22q27 96 98 166q70 71 166 98q11 3 17.5 13.5t3.5 22.5l-9 35q-3 13 -14 19q-7 4 -15 4zM512 920q-4 0 -9 -2q-80 -24 -138.5 -82.5t-82.5 -138.5q-4 -13 2 -24t19 -14l34 -9q4 -1 8 -1q22 0 28 21 q18 58 58.5 98.5t97.5 58.5q12 3 18 13.5t3 21.5l-9 35q-3 12 -14 19q-7 4 -15 4zM719.5 719.5q-49.5 49.5 -119.5 49.5t-119.5 -49.5t-49.5 -119.5t49.5 -119.5t119.5 -49.5t119.5 49.5t49.5 119.5t-49.5 119.5zM855 551q-22 0 -28 -21q-18 -58 -58.5 -98.5t-98.5 -57.5 q-11 -4 -17 -14.5t-3 -21.5l9 -35q3 -12 14 -19q7 -4 15 -4q4 0 9 2q80 24 138.5 82.5t82.5 138.5q4 13 -2.5 24t-18.5 14l-34 9q-4 1 -8 1zM1000 515q-23 0 -29 -22q-27 -96 -98 -166q-70 -71 -166 -98q-11 -3 -17.5 -13.5t-3.5 -22.5l9 -35q3 -13 14 -19q7 -4 15 -4 q4 0 8 1q121 34 209.5 122.5t122.5 209.5q4 12 -2.5 23t-18.5 14l-36 9q-3 1 -7 1z" />
<glyph unicode="&#xe202;" d="M700 800h300v-380h-180v200h-340v-200h-380v755q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM700 300h162l-212 -212l-212 212h162v200h100v-200zM520 0h-395q-10 0 -17.5 7.5t-7.5 17.5v395zM1000 220v-195q0 -10 -7.5 -17.5t-17.5 -7.5h-195z" />
<glyph unicode="&#xe203;" d="M700 800h300v-520l-350 350l-550 -550v1095q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM862 200h-162v-200h-100v200h-162l212 212zM480 0h-355q-10 0 -17.5 7.5t-7.5 17.5v55h380v-80zM1000 80v-55q0 -10 -7.5 -17.5t-17.5 -7.5h-155v80h180z" />
<glyph unicode="&#xe204;" d="M1162 800h-162v-200h100l100 -100h-300v300h-162l212 212zM200 800h200q27 0 40 -2t29.5 -10.5t23.5 -30t7 -57.5h300v-100h-600l-200 -350v450h100q0 36 7 57.5t23.5 30t29.5 10.5t40 2zM800 400h240l-240 -400h-800l300 500h500v-100z" />
<glyph unicode="&#xe205;" d="M650 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM1000 850v150q41 0 70.5 -29.5t29.5 -70.5v-800 q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-1 0 -20 4l246 246l-326 326v324q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM412 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe206;" d="M450 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM800 850v150q41 0 70.5 -29.5t29.5 -70.5v-500 h-200v-300h200q0 -36 -7 -57.5t-23.5 -30t-29.5 -10.5t-40 -2h-600q-41 0 -70.5 29.5t-29.5 70.5v800q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM1212 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe209;" d="M658 1197l637 -1104q23 -38 7 -65.5t-60 -27.5h-1276q-44 0 -60 27.5t7 65.5l637 1104q22 39 54 39t54 -39zM704 800h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM500 300v-100h200 v100h-200z" />
<glyph unicode="&#xe210;" d="M425 1100h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM825 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM25 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5zM425 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5 v150q0 10 7.5 17.5t17.5 7.5zM25 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe211;" d="M700 1200h100v-200h-100v-100h350q62 0 86.5 -39.5t-3.5 -94.5l-66 -132q-41 -83 -81 -134h-772q-40 51 -81 134l-66 132q-28 55 -3.5 94.5t86.5 39.5h350v100h-100v200h100v100h200v-100zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100 h-950l138 100h-13q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe212;" d="M600 1300q40 0 68.5 -29.5t28.5 -70.5h-194q0 41 28.5 70.5t68.5 29.5zM443 1100h314q18 -37 18 -75q0 -8 -3 -25h328q41 0 44.5 -16.5t-30.5 -38.5l-175 -145h-678l-178 145q-34 22 -29 38.5t46 16.5h328q-3 17 -3 25q0 38 18 75zM250 700h700q21 0 35.5 -14.5 t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-150v-200l275 -200h-950l275 200v200h-150q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe213;" d="M600 1181q75 0 128 -53t53 -128t-53 -128t-128 -53t-128 53t-53 128t53 128t128 53zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13 l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe214;" d="M600 1300q47 0 92.5 -53.5t71 -123t25.5 -123.5q0 -78 -55.5 -133.5t-133.5 -55.5t-133.5 55.5t-55.5 133.5q0 62 34 143l144 -143l111 111l-163 163q34 26 63 26zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45 zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe215;" d="M600 1200l300 -161v-139h-300q0 -57 18.5 -108t50 -91.5t63 -72t70 -67.5t57.5 -61h-530q-60 83 -90.5 177.5t-30.5 178.5t33 164.5t87.5 139.5t126 96.5t145.5 41.5v-98zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100 h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe216;" d="M600 1300q41 0 70.5 -29.5t29.5 -70.5v-78q46 -26 73 -72t27 -100v-50h-400v50q0 54 27 100t73 72v78q0 41 29.5 70.5t70.5 29.5zM400 800h400q54 0 100 -27t72 -73h-172v-100h200v-100h-200v-100h200v-100h-200v-100h200q0 -83 -58.5 -141.5t-141.5 -58.5h-400 q-83 0 -141.5 58.5t-58.5 141.5v400q0 83 58.5 141.5t141.5 58.5z" />
<glyph unicode="&#xe218;" d="M150 1100h900q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM125 400h950q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-283l224 -224q13 -13 13 -31.5t-13 -32 t-31.5 -13.5t-31.5 13l-88 88h-524l-87 -88q-13 -13 -32 -13t-32 13.5t-13 32t13 31.5l224 224h-289q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM541 300l-100 -100h324l-100 100h-124z" />
<glyph unicode="&#xe219;" d="M200 1100h800q83 0 141.5 -58.5t58.5 -141.5v-200h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100v200q0 83 58.5 141.5t141.5 58.5zM100 600h1000q41 0 70.5 -29.5 t29.5 -70.5v-300h-1200v300q0 41 29.5 70.5t70.5 29.5zM300 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200zM1100 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200z" />
<glyph unicode="&#xe221;" d="M480 1165l682 -683q31 -31 31 -75.5t-31 -75.5l-131 -131h-481l-517 518q-32 31 -32 75.5t32 75.5l295 296q31 31 75.5 31t76.5 -31zM108 794l342 -342l303 304l-341 341zM250 100h800q21 0 35.5 -14.5t14.5 -35.5v-50h-900v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe223;" d="M1057 647l-189 506q-8 19 -27.5 33t-40.5 14h-400q-21 0 -40.5 -14t-27.5 -33l-189 -506q-8 -19 1.5 -33t30.5 -14h625v-150q0 -21 14.5 -35.5t35.5 -14.5t35.5 14.5t14.5 35.5v150h125q21 0 30.5 14t1.5 33zM897 0h-595v50q0 21 14.5 35.5t35.5 14.5h50v50 q0 21 14.5 35.5t35.5 14.5h48v300h200v-300h47q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-50z" />
<glyph unicode="&#xe224;" d="M900 800h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-375v591l-300 300v84q0 10 7.5 17.5t17.5 7.5h375v-400zM1200 900h-200v200zM400 600h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-650q-10 0 -17.5 7.5t-7.5 17.5v950q0 10 7.5 17.5t17.5 7.5h375v-400zM700 700h-200v200z " />
<glyph unicode="&#xe225;" d="M484 1095h195q75 0 146 -32.5t124 -86t89.5 -122.5t48.5 -142q18 -14 35 -20q31 -10 64.5 6.5t43.5 48.5q10 34 -15 71q-19 27 -9 43q5 8 12.5 11t19 -1t23.5 -16q41 -44 39 -105q-3 -63 -46 -106.5t-104 -43.5h-62q-7 -55 -35 -117t-56 -100l-39 -234q-3 -20 -20 -34.5 t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l12 70q-49 -14 -91 -14h-195q-24 0 -65 8l-11 -64q-3 -20 -20 -34.5t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l26 157q-84 74 -128 175l-159 53q-19 7 -33 26t-14 40v50q0 21 14.5 35.5t35.5 14.5h124q11 87 56 166l-111 95 q-16 14 -12.5 23.5t24.5 9.5h203q116 101 250 101zM675 1000h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h250q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe226;" d="M641 900l423 247q19 8 42 2.5t37 -21.5l32 -38q14 -15 12.5 -36t-17.5 -34l-139 -120h-390zM50 1100h106q67 0 103 -17t66 -71l102 -212h823q21 0 35.5 -14.5t14.5 -35.5v-50q0 -21 -14 -40t-33 -26l-737 -132q-23 -4 -40 6t-26 25q-42 67 -100 67h-300q-62 0 -106 44 t-44 106v200q0 62 44 106t106 44zM173 928h-80q-19 0 -28 -14t-9 -35v-56q0 -51 42 -51h134q16 0 21.5 8t5.5 24q0 11 -16 45t-27 51q-18 28 -43 28zM550 727q-32 0 -54.5 -22.5t-22.5 -54.5t22.5 -54.5t54.5 -22.5t54.5 22.5t22.5 54.5t-22.5 54.5t-54.5 22.5zM130 389 l152 130q18 19 34 24t31 -3.5t24.5 -17.5t25.5 -28q28 -35 50.5 -51t48.5 -13l63 5l48 -179q13 -61 -3.5 -97.5t-67.5 -79.5l-80 -69q-47 -40 -109 -35.5t-103 51.5l-130 151q-40 47 -35.5 109.5t51.5 102.5zM380 377l-102 -88q-31 -27 2 -65l37 -43q13 -15 27.5 -19.5 t31.5 6.5l61 53q19 16 14 49q-2 20 -12 56t-17 45q-11 12 -19 14t-23 -8z" />
<glyph unicode="&#xe227;" d="M625 1200h150q10 0 17.5 -7.5t7.5 -17.5v-109q79 -33 131 -87.5t53 -128.5q1 -46 -15 -84.5t-39 -61t-46 -38t-39 -21.5l-17 -6q6 0 15 -1.5t35 -9t50 -17.5t53 -30t50 -45t35.5 -64t14.5 -84q0 -59 -11.5 -105.5t-28.5 -76.5t-44 -51t-49.5 -31.5t-54.5 -16t-49.5 -6.5 t-43.5 -1v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-100v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-175q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v600h-75q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5h175v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h100v75q0 10 7.5 17.5t17.5 7.5zM400 900v-200h263q28 0 48.5 10.5t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-263zM400 500v-200h363q28 0 48.5 10.5 t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-363z" />
<glyph unicode="&#xe230;" d="M212 1198h780q86 0 147 -61t61 -147v-416q0 -51 -18 -142.5t-36 -157.5l-18 -66q-29 -87 -93.5 -146.5t-146.5 -59.5h-572q-82 0 -147 59t-93 147q-8 28 -20 73t-32 143.5t-20 149.5v416q0 86 61 147t147 61zM600 1045q-70 0 -132.5 -11.5t-105.5 -30.5t-78.5 -41.5 t-57 -45t-36 -41t-20.5 -30.5l-6 -12l156 -243h560l156 243q-2 5 -6 12.5t-20 29.5t-36.5 42t-57 44.5t-79 42t-105 29.5t-132.5 12zM762 703h-157l195 261z" />
<glyph unicode="&#xe231;" d="M475 1300h150q103 0 189 -86t86 -189v-500q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe232;" d="M475 1300h96q0 -150 89.5 -239.5t239.5 -89.5v-446q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe233;" d="M1294 767l-638 -283l-378 170l-78 -60v-224l100 -150v-199l-150 148l-150 -149v200l100 150v250q0 4 -0.5 10.5t0 9.5t1 8t3 8t6.5 6l47 40l-147 65l642 283zM1000 380l-350 -166l-350 166v147l350 -165l350 165v-147z" />
<glyph unicode="&#xe234;" d="M250 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM650 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM1050 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe235;" d="M550 1100q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 700q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 300q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe236;" d="M125 1100h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM125 700h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM125 300h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe237;" d="M350 1200h500q162 0 256 -93.5t94 -256.5v-500q0 -165 -93.5 -257.5t-256.5 -92.5h-500q-165 0 -257.5 92.5t-92.5 257.5v500q0 165 92.5 257.5t257.5 92.5zM900 1000h-600q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h600q41 0 70.5 29.5 t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5zM350 900h500q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-500q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 14.5 35.5t35.5 14.5zM400 800v-200h400v200h-400z" />
<glyph unicode="&#xe238;" d="M150 1100h1000q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe239;" d="M650 1187q87 -67 118.5 -156t0 -178t-118.5 -155q-87 66 -118.5 155t0 178t118.5 156zM300 800q124 0 212 -88t88 -212q-124 0 -212 88t-88 212zM1000 800q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM300 500q124 0 212 -88t88 -212q-124 0 -212 88t-88 212z M1000 500q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM700 199v-144q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v142q40 -4 43 -4q17 0 57 6z" />
<glyph unicode="&#xe240;" d="M745 878l69 19q25 6 45 -12l298 -295q11 -11 15 -26.5t-2 -30.5q-5 -14 -18 -23.5t-28 -9.5h-8q1 0 1 -13q0 -29 -2 -56t-8.5 -62t-20 -63t-33 -53t-51 -39t-72.5 -14h-146q-184 0 -184 288q0 24 10 47q-20 4 -62 4t-63 -4q11 -24 11 -47q0 -288 -184 -288h-142 q-48 0 -84.5 21t-56 51t-32 71.5t-16 75t-3.5 68.5q0 13 2 13h-7q-15 0 -27.5 9.5t-18.5 23.5q-6 15 -2 30.5t15 25.5l298 296q20 18 46 11l76 -19q20 -5 30.5 -22.5t5.5 -37.5t-22.5 -31t-37.5 -5l-51 12l-182 -193h891l-182 193l-44 -12q-20 -5 -37.5 6t-22.5 31t6 37.5 t31 22.5z" />
<glyph unicode="&#xe241;" d="M1200 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM500 450h-25q0 15 -4 24.5t-9 14.5t-17 7.5t-20 3t-25 0.5h-100v-425q0 -11 12.5 -17.5t25.5 -7.5h12v-50h-200v50q50 0 50 25v425h-100q-17 0 -25 -0.5t-20 -3t-17 -7.5t-9 -14.5t-4 -24.5h-25v150h500v-150z" />
<glyph unicode="&#xe242;" d="M1000 300v50q-25 0 -55 32q-14 14 -25 31t-16 27l-4 11l-289 747h-69l-300 -754q-18 -35 -39 -56q-9 -9 -24.5 -18.5t-26.5 -14.5l-11 -5v-50h273v50q-49 0 -78.5 21.5t-11.5 67.5l69 176h293l61 -166q13 -34 -3.5 -66.5t-55.5 -32.5v-50h312zM412 691l134 342l121 -342 h-255zM1100 150v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe243;" d="M50 1200h1100q21 0 35.5 -14.5t14.5 -35.5v-1100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5zM611 1118h-70q-13 0 -18 -12l-299 -753q-17 -32 -35 -51q-18 -18 -56 -34q-12 -5 -12 -18v-50q0 -8 5.5 -14t14.5 -6 h273q8 0 14 6t6 14v50q0 8 -6 14t-14 6q-55 0 -71 23q-10 14 0 39l63 163h266l57 -153q11 -31 -6 -55q-12 -17 -36 -17q-8 0 -14 -6t-6 -14v-50q0 -8 6 -14t14 -6h313q8 0 14 6t6 14v50q0 7 -5.5 13t-13.5 7q-17 0 -42 25q-25 27 -40 63h-1l-288 748q-5 12 -19 12zM639 611 h-197l103 264z" />
<glyph unicode="&#xe244;" d="M1200 1100h-1200v100h1200v-100zM50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 1000h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM700 900v-300h300v300h-300z" />
<glyph unicode="&#xe245;" d="M50 1200h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 700h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM700 600v-300h300v300h-300zM1200 0h-1200v100h1200v-100z" />
<glyph unicode="&#xe246;" d="M50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-350h100v150q0 21 14.5 35.5t35.5 14.5h400q21 0 35.5 -14.5t14.5 -35.5v-150h100v-100h-100v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v150h-100v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM700 700v-300h300v300h-300z" />
<glyph unicode="&#xe247;" d="M100 0h-100v1200h100v-1200zM250 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM300 1000v-300h300v300h-300zM250 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe248;" d="M600 1100h150q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-100h450q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h350v100h-150q-21 0 -35.5 14.5 t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h150v100h100v-100zM400 1000v-300h300v300h-300z" />
<glyph unicode="&#xe249;" d="M1200 0h-100v1200h100v-1200zM550 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM600 1000v-300h300v300h-300zM50 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe250;" d="M865 565l-494 -494q-23 -23 -41 -23q-14 0 -22 13.5t-8 38.5v1000q0 25 8 38.5t22 13.5q18 0 41 -23l494 -494q14 -14 14 -35t-14 -35z" />
<glyph unicode="&#xe251;" d="M335 635l494 494q29 29 50 20.5t21 -49.5v-1000q0 -41 -21 -49.5t-50 20.5l-494 494q-14 14 -14 35t14 35z" />
<glyph unicode="&#xe252;" d="M100 900h1000q41 0 49.5 -21t-20.5 -50l-494 -494q-14 -14 -35 -14t-35 14l-494 494q-29 29 -20.5 50t49.5 21z" />
<glyph unicode="&#xe253;" d="M635 865l494 -494q29 -29 20.5 -50t-49.5 -21h-1000q-41 0 -49.5 21t20.5 50l494 494q14 14 35 14t35 -14z" />
<glyph unicode="&#xe254;" d="M700 741v-182l-692 -323v221l413 193l-413 193v221zM1200 0h-800v200h800v-200z" />
<glyph unicode="&#xe255;" d="M1200 900h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300zM0 700h50q0 21 4 37t9.5 26.5t18 17.5t22 11t28.5 5.5t31 2t37 0.5h100v-550q0 -22 -25 -34.5t-50 -13.5l-25 -2v-100h400v100q-4 0 -11 0.5t-24 3t-30 7t-24 15t-11 24.5v550h100q25 0 37 -0.5t31 -2 t28.5 -5.5t22 -11t18 -17.5t9.5 -26.5t4 -37h50v300h-800v-300z" />
<glyph unicode="&#xe256;" d="M800 700h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-100v-550q0 -22 25 -34.5t50 -14.5l25 -1v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v550h-100q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h800v-300zM1100 200h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300z" />
<glyph unicode="&#xe257;" d="M701 1098h160q16 0 21 -11t-7 -23l-464 -464l464 -464q12 -12 7 -23t-21 -11h-160q-13 0 -23 9l-471 471q-7 8 -7 18t7 18l471 471q10 9 23 9z" />
<glyph unicode="&#xe258;" d="M339 1098h160q13 0 23 -9l471 -471q7 -8 7 -18t-7 -18l-471 -471q-10 -9 -23 -9h-160q-16 0 -21 11t7 23l464 464l-464 464q-12 12 -7 23t21 11z" />
<glyph unicode="&#xe259;" d="M1087 882q11 -5 11 -21v-160q0 -13 -9 -23l-471 -471q-8 -7 -18 -7t-18 7l-471 471q-9 10 -9 23v160q0 16 11 21t23 -7l464 -464l464 464q12 12 23 7z" />
<glyph unicode="&#xe260;" d="M618 993l471 -471q9 -10 9 -23v-160q0 -16 -11 -21t-23 7l-464 464l-464 -464q-12 -12 -23 -7t-11 21v160q0 13 9 23l471 471q8 7 18 7t18 -7z" />
<glyph unicode="&#xf8ff;" d="M1000 1200q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM450 1000h100q21 0 40 -14t26 -33l79 -194q5 1 16 3q34 6 54 9.5t60 7t65.5 1t61 -10t56.5 -23t42.5 -42t29 -64t5 -92t-19.5 -121.5q-1 -7 -3 -19.5t-11 -50t-20.5 -73t-32.5 -81.5t-46.5 -83t-64 -70 t-82.5 -50q-13 -5 -42 -5t-65.5 2.5t-47.5 2.5q-14 0 -49.5 -3.5t-63 -3.5t-43.5 7q-57 25 -104.5 78.5t-75 111.5t-46.5 112t-26 90l-7 35q-15 63 -18 115t4.5 88.5t26 64t39.5 43.5t52 25.5t58.5 13t62.5 2t59.5 -4.5t55.5 -8l-147 192q-12 18 -5.5 30t27.5 12z" />
<glyph unicode="&#x1f511;" d="M250 1200h600q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-500l-255 -178q-19 -9 -32 -1t-13 29v650h-150q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM400 1100v-100h300v100h-300z" />
<glyph unicode="&#x1f6aa;" d="M250 1200h750q39 0 69.5 -40.5t30.5 -84.5v-933l-700 -117v950l600 125h-700v-1000h-100v1025q0 23 15.5 49t34.5 26zM500 525v-100l100 20v100z" />
</font>
</defs></svg> ) format('svg')}.glyphicon{position:relative;top:1px;display:inline-block;font-family:'Glyphicons Halflings';font-style:normal;font-weight:400;line-height:1;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.glyphicon-asterisk:before{content:"\2a"}.glyphicon-plus:before{content:"\2b"}.glyphicon-eur:before,.glyphicon-euro:before{content:"\20ac"}.glyphicon-minus:before{content:"\2212"}.glyphicon-cloud:before{content:"\2601"}.glyphicon-envelope:before{content:"\2709"}.glyphicon-pencil:before{content:"\270f"}.glyphicon-glass:before{content:"\e001"}.glyphicon-music:before{content:"\e002"}.glyphicon-search:before{content:"\e003"}.glyphicon-heart:before{content:"\e005"}.glyphicon-star:before{content:"\e006"}.glyphicon-star-empty:before{content:"\e007"}.glyphicon-user:before{content:"\e008"}.glyphicon-film:before{content:"\e009"}.glyphicon-th-large:before{content:"\e010"}.glyphicon-th:before{content:"\e011"}.glyphicon-th-list:before{content:"\e012"}.glyphicon-ok:before{content:"\e013"}.glyphicon-remove:before{content:"\e014"}.glyphicon-zoom-in:before{content:"\e015"}.glyphicon-zoom-out:before{content:"\e016"}.glyphicon-off:before{content:"\e017"}.glyphicon-signal:before{content:"\e018"}.glyphicon-cog:before{content:"\e019"}.glyphicon-trash:before{content:"\e020"}.glyphicon-home:before{content:"\e021"}.glyphicon-file:before{content:"\e022"}.glyphicon-time:before{content:"\e023"}.glyphicon-road:before{content:"\e024"}.glyphicon-download-alt:before{content:"\e025"}.glyphicon-download:before{content:"\e026"}.glyphicon-upload:before{content:"\e027"}.glyphicon-inbox:before{content:"\e028"}.glyphicon-play-circle:before{content:"\e029"}.glyphicon-repeat:before{content:"\e030"}.glyphicon-refresh:before{content:"\e031"}.glyphicon-list-alt:before{content:"\e032"}.glyphicon-lock:before{content:"\e033"}.glyphicon-flag:before{content:"\e034"}.glyphicon-headphones:before{content:"\e035"}.glyphicon-volume-off:before{content:"\e036"}.glyphicon-volume-down:before{content:"\e037"}.glyphicon-volume-up:before{content:"\e038"}.glyphicon-qrcode:before{content:"\e039"}.glyphicon-barcode:before{content:"\e040"}.glyphicon-tag:before{content:"\e041"}.glyphicon-tags:before{content:"\e042"}.glyphicon-book:before{content:"\e043"}.glyphicon-bookmark:before{content:"\e044"}.glyphicon-print:before{content:"\e045"}.glyphicon-camera:before{content:"\e046"}.glyphicon-font:before{content:"\e047"}.glyphicon-bold:before{content:"\e048"}.glyphicon-italic:before{content:"\e049"}.glyphicon-text-height:before{content:"\e050"}.glyphicon-text-width:before{content:"\e051"}.glyphicon-align-left:before{content:"\e052"}.glyphicon-align-center:before{content:"\e053"}.glyphicon-align-right:before{content:"\e054"}.glyphicon-align-justify:before{content:"\e055"}.glyphicon-list:before{content:"\e056"}.glyphicon-indent-left:before{content:"\e057"}.glyphicon-indent-right:before{content:"\e058"}.glyphicon-facetime-video:before{content:"\e059"}.glyphicon-picture:before{content:"\e060"}.glyphicon-map-marker:before{content:"\e062"}.glyphicon-adjust:before{content:"\e063"}.glyphicon-tint:before{content:"\e064"}.glyphicon-edit:before{content:"\e065"}.glyphicon-share:before{content:"\e066"}.glyphicon-check:before{content:"\e067"}.glyphicon-move:before{content:"\e068"}.glyphicon-step-backward:before{content:"\e069"}.glyphicon-fast-backward:before{content:"\e070"}.glyphicon-backward:before{content:"\e071"}.glyphicon-play:before{content:"\e072"}.glyphicon-pause:before{content:"\e073"}.glyphicon-stop:before{content:"\e074"}.glyphicon-forward:before{content:"\e075"}.glyphicon-fast-forward:before{content:"\e076"}.glyphicon-step-forward:before{content:"\e077"}.glyphicon-eject:before{content:"\e078"}.glyphicon-chevron-left:before{content:"\e079"}.glyphicon-chevron-right:before{content:"\e080"}.glyphicon-plus-sign:before{content:"\e081"}.glyphicon-minus-sign:before{content:"\e082"}.glyphicon-remove-sign:before{content:"\e083"}.glyphicon-ok-sign:before{content:"\e084"}.glyphicon-question-sign:before{content:"\e085"}.glyphicon-info-sign:before{content:"\e086"}.glyphicon-screenshot:before{content:"\e087"}.glyphicon-remove-circle:before{content:"\e088"}.glyphicon-ok-circle:before{content:"\e089"}.glyphicon-ban-circle:before{content:"\e090"}.glyphicon-arrow-left:before{content:"\e091"}.glyphicon-arrow-right:before{content:"\e092"}.glyphicon-arrow-up:before{content:"\e093"}.glyphicon-arrow-down:before{content:"\e094"}.glyphicon-share-alt:before{content:"\e095"}.glyphicon-resize-full:before{content:"\e096"}.glyphicon-resize-small:before{content:"\e097"}.glyphicon-exclamation-sign:before{content:"\e101"}.glyphicon-gift:before{content:"\e102"}.glyphicon-leaf:before{content:"\e103"}.glyphicon-fire:before{content:"\e104"}.glyphicon-eye-open:before{content:"\e105"}.glyphicon-eye-close:before{content:"\e106"}.glyphicon-warning-sign:before{content:"\e107"}.glyphicon-plane:before{content:"\e108"}.glyphicon-calendar:before{content:"\e109"}.glyphicon-random:before{content:"\e110"}.glyphicon-comment:before{content:"\e111"}.glyphicon-magnet:before{content:"\e112"}.glyphicon-chevron-up:before{content:"\e113"}.glyphicon-chevron-down:before{content:"\e114"}.glyphicon-retweet:before{content:"\e115"}.glyphicon-shopping-cart:before{content:"\e116"}.glyphicon-folder-close:before{content:"\e117"}.glyphicon-folder-open:before{content:"\e118"}.glyphicon-resize-vertical:before{content:"\e119"}.glyphicon-resize-horizontal:before{content:"\e120"}.glyphicon-hdd:before{content:"\e121"}.glyphicon-bullhorn:before{content:"\e122"}.glyphicon-bell:before{content:"\e123"}.glyphicon-certificate:before{content:"\e124"}.glyphicon-thumbs-up:before{content:"\e125"}.glyphicon-thumbs-down:before{content:"\e126"}.glyphicon-hand-right:before{content:"\e127"}.glyphicon-hand-left:before{content:"\e128"}.glyphicon-hand-up:before{content:"\e129"}.glyphicon-hand-down:before{content:"\e130"}.glyphicon-circle-arrow-right:before{content:"\e131"}.glyphicon-circle-arrow-left:before{content:"\e132"}.glyphicon-circle-arrow-up:before{content:"\e133"}.glyphicon-circle-arrow-down:before{content:"\e134"}.glyphicon-globe:before{content:"\e135"}.glyphicon-wrench:before{content:"\e136"}.glyphicon-tasks:before{content:"\e137"}.glyphicon-filter:before{content:"\e138"}.glyphicon-briefcase:before{content:"\e139"}.glyphicon-fullscreen:before{content:"\e140"}.glyphicon-dashboard:before{content:"\e141"}.glyphicon-paperclip:before{content:"\e142"}.glyphicon-heart-empty:before{content:"\e143"}.glyphicon-link:before{content:"\e144"}.glyphicon-phone:before{content:"\e145"}.glyphicon-pushpin:before{content:"\e146"}.glyphicon-usd:before{content:"\e148"}.glyphicon-gbp:before{content:"\e149"}.glyphicon-sort:before{content:"\e150"}.glyphicon-sort-by-alphabet:before{content:"\e151"}.glyphicon-sort-by-alphabet-alt:before{content:"\e152"}.glyphicon-sort-by-order:before{content:"\e153"}.glyphicon-sort-by-order-alt:before{content:"\e154"}.glyphicon-sort-by-attributes:before{content:"\e155"}.glyphicon-sort-by-attributes-alt:before{content:"\e156"}.glyphicon-unchecked:before{content:"\e157"}.glyphicon-expand:before{content:"\e158"}.glyphicon-collapse-down:before{content:"\e159"}.glyphicon-collapse-up:before{content:"\e160"}.glyphicon-log-in:before{content:"\e161"}.glyphicon-flash:before{content:"\e162"}.glyphicon-log-out:before{content:"\e163"}.glyphicon-new-window:before{content:"\e164"}.glyphicon-record:before{content:"\e165"}.glyphicon-save:before{content:"\e166"}.glyphicon-open:before{content:"\e167"}.glyphicon-saved:before{content:"\e168"}.glyphicon-import:before{content:"\e169"}.glyphicon-export:before{content:"\e170"}.glyphicon-send:before{content:"\e171"}.glyphicon-floppy-disk:before{content:"\e172"}.glyphicon-floppy-saved:before{content:"\e173"}.glyphicon-floppy-remove:before{content:"\e174"}.glyphicon-floppy-save:before{content:"\e175"}.glyphicon-floppy-open:before{content:"\e176"}.glyphicon-credit-card:before{content:"\e177"}.glyphicon-transfer:before{content:"\e178"}.glyphicon-cutlery:before{content:"\e179"}.glyphicon-header:before{content:"\e180"}.glyphicon-compressed:before{content:"\e181"}.glyphicon-earphone:before{content:"\e182"}.glyphicon-phone-alt:before{content:"\e183"}.glyphicon-tower:before{content:"\e184"}.glyphicon-stats:before{content:"\e185"}.glyphicon-sd-video:before{content:"\e186"}.glyphicon-hd-video:before{content:"\e187"}.glyphicon-subtitles:before{content:"\e188"}.glyphicon-sound-stereo:before{content:"\e189"}.glyphicon-sound-dolby:before{content:"\e190"}.glyphicon-sound-5-1:before{content:"\e191"}.glyphicon-sound-6-1:before{content:"\e192"}.glyphicon-sound-7-1:before{content:"\e193"}.glyphicon-copyright-mark:before{content:"\e194"}.glyphicon-registration-mark:before{content:"\e195"}.glyphicon-cloud-download:before{content:"\e197"}.glyphicon-cloud-upload:before{content:"\e198"}.glyphicon-tree-conifer:before{content:"\e199"}.glyphicon-tree-deciduous:before{content:"\e200"}.glyphicon-cd:before{content:"\e201"}.glyphicon-save-file:before{content:"\e202"}.glyphicon-open-file:before{content:"\e203"}.glyphicon-level-up:before{content:"\e204"}.glyphicon-copy:before{content:"\e205"}.glyphicon-paste:before{content:"\e206"}.glyphicon-alert:before{content:"\e209"}.glyphicon-equalizer:before{content:"\e210"}.glyphicon-king:before{content:"\e211"}.glyphicon-queen:before{content:"\e212"}.glyphicon-pawn:before{content:"\e213"}.glyphicon-bishop:before{content:"\e214"}.glyphicon-knight:before{content:"\e215"}.glyphicon-baby-formula:before{content:"\e216"}.glyphicon-tent:before{content:"\26fa"}.glyphicon-blackboard:before{content:"\e218"}.glyphicon-bed:before{content:"\e219"}.glyphicon-apple:before{content:"\f8ff"}.glyphicon-erase:before{content:"\e221"}.glyphicon-hourglass:before{content:"\231b"}.glyphicon-lamp:before{content:"\e223"}.glyphicon-duplicate:before{content:"\e224"}.glyphicon-piggy-bank:before{content:"\e225"}.glyphicon-scissors:before{content:"\e226"}.glyphicon-bitcoin:before{content:"\e227"}.glyphicon-btc:before{content:"\e227"}.glyphicon-xbt:before{content:"\e227"}.glyphicon-yen:before{content:"\00a5"}.glyphicon-jpy:before{content:"\00a5"}.glyphicon-ruble:before{content:"\20bd"}.glyphicon-rub:before{content:"\20bd"}.glyphicon-scale:before{content:"\e230"}.glyphicon-ice-lolly:before{content:"\e231"}.glyphicon-ice-lolly-tasted:before{content:"\e232"}.glyphicon-education:before{content:"\e233"}.glyphicon-option-horizontal:before{content:"\e234"}.glyphicon-option-vertical:before{content:"\e235"}.glyphicon-menu-hamburger:before{content:"\e236"}.glyphicon-modal-window:before{content:"\e237"}.glyphicon-oil:before{content:"\e238"}.glyphicon-grain:before{content:"\e239"}.glyphicon-sunglasses:before{content:"\e240"}.glyphicon-text-size:before{content:"\e241"}.glyphicon-text-color:before{content:"\e242"}.glyphicon-text-background:before{content:"\e243"}.glyphicon-object-align-top:before{content:"\e244"}.glyphicon-object-align-bottom:before{content:"\e245"}.glyphicon-object-align-horizontal:before{content:"\e246"}.glyphicon-object-align-left:before{content:"\e247"}.glyphicon-object-align-vertical:before{content:"\e248"}.glyphicon-object-align-right:before{content:"\e249"}.glyphicon-triangle-right:before{content:"\e250"}.glyphicon-triangle-left:before{content:"\e251"}.glyphicon-triangle-bottom:before{content:"\e252"}.glyphicon-triangle-top:before{content:"\e253"}.glyphicon-console:before{content:"\e254"}.glyphicon-superscript:before{content:"\e255"}.glyphicon-subscript:before{content:"\e256"}.glyphicon-menu-left:before{content:"\e257"}.glyphicon-menu-right:before{content:"\e258"}.glyphicon-menu-down:before{content:"\e259"}.glyphicon-menu-up:before{content:"\e260"}*{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}:after,:before{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}html{font-size:10px;-webkit-tap-highlight-color:rgba(0,0,0,0)}body{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:1.42857143;color:#333;background-color:#fff}button,input,select,textarea{font-family:inherit;font-size:inherit;line-height:inherit}a{color:#337ab7;text-decoration:none}a:focus,a:hover{color:#23527c;text-decoration:underline}a:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}figure{margin:0}img{vertical-align:middle}.carousel-inner>.item>a>img,.carousel-inner>.item>img,.img-responsive,.thumbnail a>img,.thumbnail>img{display:block;max-width:100%;height:auto}.img-rounded{border-radius:6px}.img-thumbnail{display:inline-block;max-width:100%;height:auto;padding:4px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out}.img-circle{border-radius:50%}hr{margin-top:20px;margin-bottom:20px;border:0;border-top:1px solid #eee}.sr-only{position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto}[role=button]{cursor:pointer}.h1,.h2,.h3,.h4,.h5,.h6,h1,h2,h3,h4,h5,h6{font-family:inherit;font-weight:500;line-height:1.1;color:inherit}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-weight:400;line-height:1;color:#777}.h1,.h2,.h3,h1,h2,h3{margin-top:20px;margin-bottom:10px}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small{font-size:65%}.h4,.h5,.h6,h4,h5,h6{margin-top:10px;margin-bottom:10px}.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-size:75%}.h1,h1{font-size:36px}.h2,h2{font-size:30px}.h3,h3{font-size:24px}.h4,h4{font-size:18px}.h5,h5{font-size:14px}.h6,h6{font-size:12px}p{margin:0 0 10px}.lead{margin-bottom:20px;font-size:16px;font-weight:300;line-height:1.4}@media (min-width:768px){.lead{font-size:21px}}.small,small{font-size:85%}.mark,mark{padding:.2em;background-color:#fcf8e3}.text-left{text-align:left}.text-right{text-align:right}.text-center{text-align:center}.text-justify{text-align:justify}.text-nowrap{white-space:nowrap}.text-lowercase{text-transform:lowercase}.text-uppercase{text-transform:uppercase}.text-capitalize{text-transform:capitalize}.text-muted{color:#777}.text-primary{color:#337ab7}a.text-primary:focus,a.text-primary:hover{color:#286090}.text-success{color:#3c763d}a.text-success:focus,a.text-success:hover{color:#2b542c}.text-info{color:#31708f}a.text-info:focus,a.text-info:hover{color:#245269}.text-warning{color:#8a6d3b}a.text-warning:focus,a.text-warning:hover{color:#66512c}.text-danger{color:#a94442}a.text-danger:focus,a.text-danger:hover{color:#843534}.bg-primary{color:#fff;background-color:#337ab7}a.bg-primary:focus,a.bg-primary:hover{background-color:#286090}.bg-success{background-color:#dff0d8}a.bg-success:focus,a.bg-success:hover{background-color:#c1e2b3}.bg-info{background-color:#d9edf7}a.bg-info:focus,a.bg-info:hover{background-color:#afd9ee}.bg-warning{background-color:#fcf8e3}a.bg-warning:focus,a.bg-warning:hover{background-color:#f7ecb5}.bg-danger{background-color:#f2dede}a.bg-danger:focus,a.bg-danger:hover{background-color:#e4b9b9}.page-header{padding-bottom:9px;margin:40px 0 20px;border-bottom:1px solid #eee}ol,ul{margin-top:0;margin-bottom:10px}ol ol,ol ul,ul ol,ul ul{margin-bottom:0}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;margin-left:-5px;list-style:none}.list-inline>li{display:inline-block;padding-right:5px;padding-left:5px}dl{margin-top:0;margin-bottom:20px}dd,dt{line-height:1.42857143}dt{font-weight:700}dd{margin-left:0}@media (min-width:768px){.dl-horizontal dt{float:left;width:160px;overflow:hidden;clear:left;text-align:right;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:180px}}abbr[data-original-title],abbr[title]{cursor:help;border-bottom:1px dotted #777}.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:10px 20px;margin:0 0 20px;font-size:17.5px;border-left:5px solid #eee}blockquote ol:last-child,blockquote p:last-child,blockquote ul:last-child{margin-bottom:0}blockquote .small,blockquote footer,blockquote small{display:block;font-size:80%;line-height:1.42857143;color:#777}blockquote .small:before,blockquote footer:before,blockquote small:before{content:'\2014 \00A0'}.blockquote-reverse,blockquote.pull-right{padding-right:15px;padding-left:0;text-align:right;border-right:5px solid #eee;border-left:0}.blockquote-reverse .small:before,.blockquote-reverse footer:before,.blockquote-reverse small:before,blockquote.pull-right .small:before,blockquote.pull-right footer:before,blockquote.pull-right small:before{content:''}.blockquote-reverse .small:after,.blockquote-reverse footer:after,.blockquote-reverse small:after,blockquote.pull-right .small:after,blockquote.pull-right footer:after,blockquote.pull-right small:after{content:'\00A0 \2014'}address{margin-bottom:20px;font-style:normal;line-height:1.42857143}code,kbd,pre,samp{font-family:monospace}code{padding:2px 4px;font-size:90%;color:#c7254e;background-color:#f9f2f4;border-radius:4px}kbd{padding:2px 4px;font-size:90%;color:#fff;background-color:#333;border-radius:3px;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.25);box-shadow:inset 0 -1px 0 rgba(0,0,0,.25)}kbd kbd{padding:0;font-size:100%;font-weight:700;-webkit-box-shadow:none;box-shadow:none}pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:1.42857143;color:#333;word-break:break-all;word-wrap:break-word;background-color:#f5f5f5;border:1px solid #ccc;border-radius:4px}pre code{padding:0;font-size:inherit;color:inherit;white-space:pre-wrap;background-color:transparent;border-radius:0}.pre-scrollable{max-height:340px;overflow-y:scroll}.container{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}@media (min-width:768px){.container{width:750px}}@media (min-width:992px){.container{width:970px}}@media (min-width:1200px){.container{width:1170px}}.container-fluid{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}.row{margin-right:-15px;margin-left:-15px}.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9,.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9,.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9,.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{position:relative;min-height:1px;padding-right:15px;padding-left:15px}.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{float:left}.col-xs-12{width:100%}.col-xs-11{width:91.66666667%}.col-xs-10{width:83.33333333%}.col-xs-9{width:75%}.col-xs-8{width:66.66666667%}.col-xs-7{width:58.33333333%}.col-xs-6{width:50%}.col-xs-5{width:41.66666667%}.col-xs-4{width:33.33333333%}.col-xs-3{width:25%}.col-xs-2{width:16.66666667%}.col-xs-1{width:8.33333333%}.col-xs-pull-12{right:100%}.col-xs-pull-11{right:91.66666667%}.col-xs-pull-10{right:83.33333333%}.col-xs-pull-9{right:75%}.col-xs-pull-8{right:66.66666667%}.col-xs-pull-7{right:58.33333333%}.col-xs-pull-6{right:50%}.col-xs-pull-5{right:41.66666667%}.col-xs-pull-4{right:33.33333333%}.col-xs-pull-3{right:25%}.col-xs-pull-2{right:16.66666667%}.col-xs-pull-1{right:8.33333333%}.col-xs-pull-0{right:auto}.col-xs-push-12{left:100%}.col-xs-push-11{left:91.66666667%}.col-xs-push-10{left:83.33333333%}.col-xs-push-9{left:75%}.col-xs-push-8{left:66.66666667%}.col-xs-push-7{left:58.33333333%}.col-xs-push-6{left:50%}.col-xs-push-5{left:41.66666667%}.col-xs-push-4{left:33.33333333%}.col-xs-push-3{left:25%}.col-xs-push-2{left:16.66666667%}.col-xs-push-1{left:8.33333333%}.col-xs-push-0{left:auto}.col-xs-offset-12{margin-left:100%}.col-xs-offset-11{margin-left:91.66666667%}.col-xs-offset-10{margin-left:83.33333333%}.col-xs-offset-9{margin-left:75%}.col-xs-offset-8{margin-left:66.66666667%}.col-xs-offset-7{margin-left:58.33333333%}.col-xs-offset-6{margin-left:50%}.col-xs-offset-5{margin-left:41.66666667%}.col-xs-offset-4{margin-left:33.33333333%}.col-xs-offset-3{margin-left:25%}.col-xs-offset-2{margin-left:16.66666667%}.col-xs-offset-1{margin-left:8.33333333%}.col-xs-offset-0{margin-left:0}@media (min-width:768px){.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9{float:left}.col-sm-12{width:100%}.col-sm-11{width:91.66666667%}.col-sm-10{width:83.33333333%}.col-sm-9{width:75%}.col-sm-8{width:66.66666667%}.col-sm-7{width:58.33333333%}.col-sm-6{width:50%}.col-sm-5{width:41.66666667%}.col-sm-4{width:33.33333333%}.col-sm-3{width:25%}.col-sm-2{width:16.66666667%}.col-sm-1{width:8.33333333%}.col-sm-pull-12{right:100%}.col-sm-pull-11{right:91.66666667%}.col-sm-pull-10{right:83.33333333%}.col-sm-pull-9{right:75%}.col-sm-pull-8{right:66.66666667%}.col-sm-pull-7{right:58.33333333%}.col-sm-pull-6{right:50%}.col-sm-pull-5{right:41.66666667%}.col-sm-pull-4{right:33.33333333%}.col-sm-pull-3{right:25%}.col-sm-pull-2{right:16.66666667%}.col-sm-pull-1{right:8.33333333%}.col-sm-pull-0{right:auto}.col-sm-push-12{left:100%}.col-sm-push-11{left:91.66666667%}.col-sm-push-10{left:83.33333333%}.col-sm-push-9{left:75%}.col-sm-push-8{left:66.66666667%}.col-sm-push-7{left:58.33333333%}.col-sm-push-6{left:50%}.col-sm-push-5{left:41.66666667%}.col-sm-push-4{left:33.33333333%}.col-sm-push-3{left:25%}.col-sm-push-2{left:16.66666667%}.col-sm-push-1{left:8.33333333%}.col-sm-push-0{left:auto}.col-sm-offset-12{margin-left:100%}.col-sm-offset-11{margin-left:91.66666667%}.col-sm-offset-10{margin-left:83.33333333%}.col-sm-offset-9{margin-left:75%}.col-sm-offset-8{margin-left:66.66666667%}.col-sm-offset-7{margin-left:58.33333333%}.col-sm-offset-6{margin-left:50%}.col-sm-offset-5{margin-left:41.66666667%}.col-sm-offset-4{margin-left:33.33333333%}.col-sm-offset-3{margin-left:25%}.col-sm-offset-2{margin-left:16.66666667%}.col-sm-offset-1{margin-left:8.33333333%}.col-sm-offset-0{margin-left:0}}@media (min-width:992px){.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9{float:left}.col-md-12{width:100%}.col-md-11{width:91.66666667%}.col-md-10{width:83.33333333%}.col-md-9{width:75%}.col-md-8{width:66.66666667%}.col-md-7{width:58.33333333%}.col-md-6{width:50%}.col-md-5{width:41.66666667%}.col-md-4{width:33.33333333%}.col-md-3{width:25%}.col-md-2{width:16.66666667%}.col-md-1{width:8.33333333%}.col-md-pull-12{right:100%}.col-md-pull-11{right:91.66666667%}.col-md-pull-10{right:83.33333333%}.col-md-pull-9{right:75%}.col-md-pull-8{right:66.66666667%}.col-md-pull-7{right:58.33333333%}.col-md-pull-6{right:50%}.col-md-pull-5{right:41.66666667%}.col-md-pull-4{right:33.33333333%}.col-md-pull-3{right:25%}.col-md-pull-2{right:16.66666667%}.col-md-pull-1{right:8.33333333%}.col-md-pull-0{right:auto}.col-md-push-12{left:100%}.col-md-push-11{left:91.66666667%}.col-md-push-10{left:83.33333333%}.col-md-push-9{left:75%}.col-md-push-8{left:66.66666667%}.col-md-push-7{left:58.33333333%}.col-md-push-6{left:50%}.col-md-push-5{left:41.66666667%}.col-md-push-4{left:33.33333333%}.col-md-push-3{left:25%}.col-md-push-2{left:16.66666667%}.col-md-push-1{left:8.33333333%}.col-md-push-0{left:auto}.col-md-offset-12{margin-left:100%}.col-md-offset-11{margin-left:91.66666667%}.col-md-offset-10{margin-left:83.33333333%}.col-md-offset-9{margin-left:75%}.col-md-offset-8{margin-left:66.66666667%}.col-md-offset-7{margin-left:58.33333333%}.col-md-offset-6{margin-left:50%}.col-md-offset-5{margin-left:41.66666667%}.col-md-offset-4{margin-left:33.33333333%}.col-md-offset-3{margin-left:25%}.col-md-offset-2{margin-left:16.66666667%}.col-md-offset-1{margin-left:8.33333333%}.col-md-offset-0{margin-left:0}}@media (min-width:1200px){.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9{float:left}.col-lg-12{width:100%}.col-lg-11{width:91.66666667%}.col-lg-10{width:83.33333333%}.col-lg-9{width:75%}.col-lg-8{width:66.66666667%}.col-lg-7{width:58.33333333%}.col-lg-6{width:50%}.col-lg-5{width:41.66666667%}.col-lg-4{width:33.33333333%}.col-lg-3{width:25%}.col-lg-2{width:16.66666667%}.col-lg-1{width:8.33333333%}.col-lg-pull-12{right:100%}.col-lg-pull-11{right:91.66666667%}.col-lg-pull-10{right:83.33333333%}.col-lg-pull-9{right:75%}.col-lg-pull-8{right:66.66666667%}.col-lg-pull-7{right:58.33333333%}.col-lg-pull-6{right:50%}.col-lg-pull-5{right:41.66666667%}.col-lg-pull-4{right:33.33333333%}.col-lg-pull-3{right:25%}.col-lg-pull-2{right:16.66666667%}.col-lg-pull-1{right:8.33333333%}.col-lg-pull-0{right:auto}.col-lg-push-12{left:100%}.col-lg-push-11{left:91.66666667%}.col-lg-push-10{left:83.33333333%}.col-lg-push-9{left:75%}.col-lg-push-8{left:66.66666667%}.col-lg-push-7{left:58.33333333%}.col-lg-push-6{left:50%}.col-lg-push-5{left:41.66666667%}.col-lg-push-4{left:33.33333333%}.col-lg-push-3{left:25%}.col-lg-push-2{left:16.66666667%}.col-lg-push-1{left:8.33333333%}.col-lg-push-0{left:auto}.col-lg-offset-12{margin-left:100%}.col-lg-offset-11{margin-left:91.66666667%}.col-lg-offset-10{margin-left:83.33333333%}.col-lg-offset-9{margin-left:75%}.col-lg-offset-8{margin-left:66.66666667%}.col-lg-offset-7{margin-left:58.33333333%}.col-lg-offset-6{margin-left:50%}.col-lg-offset-5{margin-left:41.66666667%}.col-lg-offset-4{margin-left:33.33333333%}.col-lg-offset-3{margin-left:25%}.col-lg-offset-2{margin-left:16.66666667%}.col-lg-offset-1{margin-left:8.33333333%}.col-lg-offset-0{margin-left:0}}table{background-color:transparent}caption{padding-top:8px;padding-bottom:8px;color:#777;text-align:left}th{}.table{width:100%;max-width:100%;margin-bottom:20px}.table>tbody>tr>td,.table>tbody>tr>th,.table>tfoot>tr>td,.table>tfoot>tr>th,.table>thead>tr>td,.table>thead>tr>th{padding:8px;line-height:1.42857143;vertical-align:top;border-top:1px solid #ddd}.table>thead>tr>th{vertical-align:bottom;border-bottom:2px solid #ddd}.table>caption+thead>tr:first-child>td,.table>caption+thead>tr:first-child>th,.table>colgroup+thead>tr:first-child>td,.table>colgroup+thead>tr:first-child>th,.table>thead:first-child>tr:first-child>td,.table>thead:first-child>tr:first-child>th{border-top:0}.table>tbody+tbody{border-top:2px solid #ddd}.table .table{background-color:#fff}.table-condensed>tbody>tr>td,.table-condensed>tbody>tr>th,.table-condensed>tfoot>tr>td,.table-condensed>tfoot>tr>th,.table-condensed>thead>tr>td,.table-condensed>thead>tr>th{padding:5px}.table-bordered{border:1px solid #ddd}.table-bordered>tbody>tr>td,.table-bordered>tbody>tr>th,.table-bordered>tfoot>tr>td,.table-bordered>tfoot>tr>th,.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border:1px solid #ddd}.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border-bottom-width:2px}.table-striped>tbody>tr:nth-of-type(odd){background-color:#f9f9f9}.table-hover>tbody>tr:hover{background-color:#f5f5f5}table col[class*=col-]{position:static;display:table-column;float:none}table td[class*=col-],table th[class*=col-]{position:static;display:table-cell;float:none}.table>tbody>tr.active>td,.table>tbody>tr.active>th,.table>tbody>tr>td.active,.table>tbody>tr>th.active,.table>tfoot>tr.active>td,.table>tfoot>tr.active>th,.table>tfoot>tr>td.active,.table>tfoot>tr>th.active,.table>thead>tr.active>td,.table>thead>tr.active>th,.table>thead>tr>td.active,.table>thead>tr>th.active{background-color:#f5f5f5}.table-hover>tbody>tr.active:hover>td,.table-hover>tbody>tr.active:hover>th,.table-hover>tbody>tr:hover>.active,.table-hover>tbody>tr>td.active:hover,.table-hover>tbody>tr>th.active:hover{background-color:#e8e8e8}.table>tbody>tr.success>td,.table>tbody>tr.success>th,.table>tbody>tr>td.success,.table>tbody>tr>th.success,.table>tfoot>tr.success>td,.table>tfoot>tr.success>th,.table>tfoot>tr>td.success,.table>tfoot>tr>th.success,.table>thead>tr.success>td,.table>thead>tr.success>th,.table>thead>tr>td.success,.table>thead>tr>th.success{background-color:#dff0d8}.table-hover>tbody>tr.success:hover>td,.table-hover>tbody>tr.success:hover>th,.table-hover>tbody>tr:hover>.success,.table-hover>tbody>tr>td.success:hover,.table-hover>tbody>tr>th.success:hover{background-color:#d0e9c6}.table>tbody>tr.info>td,.table>tbody>tr.info>th,.table>tbody>tr>td.info,.table>tbody>tr>th.info,.table>tfoot>tr.info>td,.table>tfoot>tr.info>th,.table>tfoot>tr>td.info,.table>tfoot>tr>th.info,.table>thead>tr.info>td,.table>thead>tr.info>th,.table>thead>tr>td.info,.table>thead>tr>th.info{background-color:#d9edf7}.table-hover>tbody>tr.info:hover>td,.table-hover>tbody>tr.info:hover>th,.table-hover>tbody>tr:hover>.info,.table-hover>tbody>tr>td.info:hover,.table-hover>tbody>tr>th.info:hover{background-color:#c4e3f3}.table>tbody>tr.warning>td,.table>tbody>tr.warning>th,.table>tbody>tr>td.warning,.table>tbody>tr>th.warning,.table>tfoot>tr.warning>td,.table>tfoot>tr.warning>th,.table>tfoot>tr>td.warning,.table>tfoot>tr>th.warning,.table>thead>tr.warning>td,.table>thead>tr.warning>th,.table>thead>tr>td.warning,.table>thead>tr>th.warning{background-color:#fcf8e3}.table-hover>tbody>tr.warning:hover>td,.table-hover>tbody>tr.warning:hover>th,.table-hover>tbody>tr:hover>.warning,.table-hover>tbody>tr>td.warning:hover,.table-hover>tbody>tr>th.warning:hover{background-color:#faf2cc}.table>tbody>tr.danger>td,.table>tbody>tr.danger>th,.table>tbody>tr>td.danger,.table>tbody>tr>th.danger,.table>tfoot>tr.danger>td,.table>tfoot>tr.danger>th,.table>tfoot>tr>td.danger,.table>tfoot>tr>th.danger,.table>thead>tr.danger>td,.table>thead>tr.danger>th,.table>thead>tr>td.danger,.table>thead>tr>th.danger{background-color:#f2dede}.table-hover>tbody>tr.danger:hover>td,.table-hover>tbody>tr.danger:hover>th,.table-hover>tbody>tr:hover>.danger,.table-hover>tbody>tr>td.danger:hover,.table-hover>tbody>tr>th.danger:hover{background-color:#ebcccc}.table-responsive{min-height:.01%;overflow-x:auto}@media screen and (max-width:767px){.table-responsive{width:100%;margin-bottom:15px;overflow-y:hidden;-ms-overflow-style:-ms-autohiding-scrollbar;border:1px solid #ddd}.table-responsive>.table{margin-bottom:0}.table-responsive>.table>tbody>tr>td,.table-responsive>.table>tbody>tr>th,.table-responsive>.table>tfoot>tr>td,.table-responsive>.table>tfoot>tr>th,.table-responsive>.table>thead>tr>td,.table-responsive>.table>thead>tr>th{white-space:nowrap}.table-responsive>.table-bordered{border:0}.table-responsive>.table-bordered>tbody>tr>td:first-child,.table-responsive>.table-bordered>tbody>tr>th:first-child,.table-responsive>.table-bordered>tfoot>tr>td:first-child,.table-responsive>.table-bordered>tfoot>tr>th:first-child,.table-responsive>.table-bordered>thead>tr>td:first-child,.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.table-responsive>.table-bordered>tbody>tr>td:last-child,.table-responsive>.table-bordered>tbody>tr>th:last-child,.table-responsive>.table-bordered>tfoot>tr>td:last-child,.table-responsive>.table-bordered>tfoot>tr>th:last-child,.table-responsive>.table-bordered>thead>tr>td:last-child,.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.table-responsive>.table-bordered>tbody>tr:last-child>td,.table-responsive>.table-bordered>tbody>tr:last-child>th,.table-responsive>.table-bordered>tfoot>tr:last-child>td,.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}}fieldset{min-width:0;padding:0;margin:0;border:0}legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:inherit;color:#333;border:0;border-bottom:1px solid #e5e5e5}label{display:inline-block;max-width:100%;margin-bottom:5px;font-weight:700}input[type=search]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}input[type=checkbox],input[type=radio]{margin:4px 0 0;margin-top:1px\9;line-height:normal}input[type=file]{display:block}input[type=range]{display:block;width:100%}select[multiple],select[size]{height:auto}input[type=file]:focus,input[type=checkbox]:focus,input[type=radio]:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}output{display:block;padding-top:7px;font-size:14px;line-height:1.42857143;color:#555}.form-control{display:block;width:100%;height:34px;padding:6px 12px;font-size:14px;line-height:1.42857143;color:#555;background-color:#fff;background-image:none;border:1px solid #ccc;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075);-webkit-transition:border-color ease-in-out .15s,-webkit-box-shadow ease-in-out .15s;-o-transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s;transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s}.form-control:focus{border-color:#66afe9;outline:0;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6);box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6)}.form-control::-moz-placeholder{color:#999;opacity:1}.form-control:-ms-input-placeholder{color:#999}.form-control::-webkit-input-placeholder{color:#999}.form-control[disabled],.form-control[readonly],fieldset[disabled] .form-control{background-color:#eee;opacity:1}.form-control[disabled],fieldset[disabled] .form-control{cursor:not-allowed}textarea.form-control{height:auto}input[type=search]{-webkit-appearance:none}@media screen and (-webkit-min-device-pixel-ratio:0){input[type=date].form-control,input[type=time].form-control,input[type=datetime-local].form-control,input[type=month].form-control{line-height:34px}.input-group-sm input[type=date],.input-group-sm input[type=time],.input-group-sm input[type=datetime-local],.input-group-sm input[type=month],input[type=date].input-sm,input[type=time].input-sm,input[type=datetime-local].input-sm,input[type=month].input-sm{line-height:30px}.input-group-lg input[type=date],.input-group-lg input[type=time],.input-group-lg input[type=datetime-local],.input-group-lg input[type=month],input[type=date].input-lg,input[type=time].input-lg,input[type=datetime-local].input-lg,input[type=month].input-lg{line-height:46px}}.form-group{margin-bottom:15px}.checkbox,.radio{position:relative;display:block;margin-top:10px;margin-bottom:10px}.checkbox label,.radio label{min-height:20px;padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.checkbox input[type=checkbox],.checkbox-inline input[type=checkbox],.radio input[type=radio],.radio-inline input[type=radio]{position:absolute;margin-top:4px\9;margin-left:-20px}.checkbox+.checkbox,.radio+.radio{margin-top:-5px}.checkbox-inline,.radio-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.checkbox-inline+.checkbox-inline,.radio-inline+.radio-inline{margin-top:0;margin-left:10px}fieldset[disabled] input[type=checkbox],fieldset[disabled] input[type=radio],input[type=checkbox].disabled,input[type=checkbox][disabled],input[type=radio].disabled,input[type=radio][disabled]{cursor:not-allowed}.checkbox-inline.disabled,.radio-inline.disabled,fieldset[disabled] .checkbox-inline,fieldset[disabled] .radio-inline{cursor:not-allowed}.checkbox.disabled label,.radio.disabled label,fieldset[disabled] .checkbox label,fieldset[disabled] .radio label{cursor:not-allowed}.form-control-static{min-height:34px;padding-top:7px;padding-bottom:7px;margin-bottom:0}.form-control-static.input-lg,.form-control-static.input-sm{padding-right:0;padding-left:0}.input-sm{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-sm{height:30px;line-height:30px}select[multiple].input-sm,textarea.input-sm{height:auto}.form-group-sm .form-control{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.form-group-sm select.form-control{height:30px;line-height:30px}.form-group-sm select[multiple].form-control,.form-group-sm textarea.form-control{height:auto}.form-group-sm .form-control-static{height:30px;min-height:32px;padding:6px 10px;font-size:12px;line-height:1.5}.input-lg{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-lg{height:46px;line-height:46px}select[multiple].input-lg,textarea.input-lg{height:auto}.form-group-lg .form-control{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.form-group-lg select.form-control{height:46px;line-height:46px}.form-group-lg select[multiple].form-control,.form-group-lg textarea.form-control{height:auto}.form-group-lg .form-control-static{height:46px;min-height:38px;padding:11px 16px;font-size:18px;line-height:1.3333333}.has-feedback{position:relative}.has-feedback .form-control{padding-right:42.5px}.form-control-feedback{position:absolute;top:0;right:0;z-index:2;display:block;width:34px;height:34px;line-height:34px;text-align:center;pointer-events:none}.form-group-lg .form-control+.form-control-feedback,.input-group-lg+.form-control-feedback,.input-lg+.form-control-feedback{width:46px;height:46px;line-height:46px}.form-group-sm .form-control+.form-control-feedback,.input-group-sm+.form-control-feedback,.input-sm+.form-control-feedback{width:30px;height:30px;line-height:30px}.has-success .checkbox,.has-success .checkbox-inline,.has-success .control-label,.has-success .help-block,.has-success .radio,.has-success .radio-inline,.has-success.checkbox label,.has-success.checkbox-inline label,.has-success.radio label,.has-success.radio-inline label{color:#3c763d}.has-success .form-control{border-color:#3c763d;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-success .form-control:focus{border-color:#2b542c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168}.has-success .input-group-addon{color:#3c763d;background-color:#dff0d8;border-color:#3c763d}.has-success .form-control-feedback{color:#3c763d}.has-warning .checkbox,.has-warning .checkbox-inline,.has-warning .control-label,.has-warning .help-block,.has-warning .radio,.has-warning .radio-inline,.has-warning.checkbox label,.has-warning.checkbox-inline label,.has-warning.radio label,.has-warning.radio-inline label{color:#8a6d3b}.has-warning .form-control{border-color:#8a6d3b;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-warning .form-control:focus{border-color:#66512c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b}.has-warning .input-group-addon{color:#8a6d3b;background-color:#fcf8e3;border-color:#8a6d3b}.has-warning .form-control-feedback{color:#8a6d3b}.has-error .checkbox,.has-error .checkbox-inline,.has-error .control-label,.has-error .help-block,.has-error .radio,.has-error .radio-inline,.has-error.checkbox label,.has-error.checkbox-inline label,.has-error.radio label,.has-error.radio-inline label{color:#a94442}.has-error .form-control{border-color:#a94442;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-error .form-control:focus{border-color:#843534;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483}.has-error .input-group-addon{color:#a94442;background-color:#f2dede;border-color:#a94442}.has-error .form-control-feedback{color:#a94442}.has-feedback label~.form-control-feedback{top:25px}.has-feedback label.sr-only~.form-control-feedback{top:0}.help-block{display:block;margin-top:5px;margin-bottom:10px;color:#737373}@media (min-width:768px){.form-inline .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.form-inline .form-control{display:inline-block;width:auto;vertical-align:middle}.form-inline .form-control-static{display:inline-block}.form-inline .input-group{display:inline-table;vertical-align:middle}.form-inline .input-group .form-control,.form-inline .input-group .input-group-addon,.form-inline .input-group .input-group-btn{width:auto}.form-inline .input-group>.form-control{width:100%}.form-inline .control-label{margin-bottom:0;vertical-align:middle}.form-inline .checkbox,.form-inline .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.form-inline .checkbox label,.form-inline .radio label{padding-left:0}.form-inline .checkbox input[type=checkbox],.form-inline .radio input[type=radio]{position:relative;margin-left:0}.form-inline .has-feedback .form-control-feedback{top:0}}.form-horizontal .checkbox,.form-horizontal .checkbox-inline,.form-horizontal .radio,.form-horizontal .radio-inline{padding-top:7px;margin-top:0;margin-bottom:0}.form-horizontal .checkbox,.form-horizontal .radio{min-height:27px}.form-horizontal .form-group{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.form-horizontal .control-label{padding-top:7px;margin-bottom:0;text-align:right}}.form-horizontal .has-feedback .form-control-feedback{right:15px}@media (min-width:768px){.form-horizontal .form-group-lg .control-label{padding-top:14.33px;font-size:18px}}@media (min-width:768px){.form-horizontal .form-group-sm .control-label{padding-top:6px;font-size:12px}}.btn{display:inline-block;padding:6px 12px;margin-bottom:0;font-size:14px;font-weight:400;line-height:1.42857143;text-align:center;white-space:nowrap;vertical-align:middle;-ms-touch-action:manipulation;touch-action:manipulation;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;background-image:none;border:1px solid transparent;border-radius:4px}.btn.active.focus,.btn.active:focus,.btn.focus,.btn:active.focus,.btn:active:focus,.btn:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn.focus,.btn:focus,.btn:hover{color:#333;text-decoration:none}.btn.active,.btn:active{background-image:none;outline:0;-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn.disabled,.btn[disabled],fieldset[disabled] .btn{cursor:not-allowed;filter:alpha(opacity=65);-webkit-box-shadow:none;box-shadow:none;opacity:.65}a.btn.disabled,fieldset[disabled] a.btn{pointer-events:none}.btn-default{color:#333;background-color:#fff;border-color:#ccc}.btn-default.focus,.btn-default:focus{color:#333;background-color:#e6e6e6;border-color:#8c8c8c}.btn-default:hover{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active.focus,.btn-default.active:focus,.btn-default.active:hover,.btn-default:active.focus,.btn-default:active:focus,.btn-default:active:hover,.open>.dropdown-toggle.btn-default.focus,.open>.dropdown-toggle.btn-default:focus,.open>.dropdown-toggle.btn-default:hover{color:#333;background-color:#d4d4d4;border-color:#8c8c8c}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{background-image:none}.btn-default.disabled,.btn-default.disabled.active,.btn-default.disabled.focus,.btn-default.disabled:active,.btn-default.disabled:focus,.btn-default.disabled:hover,.btn-default[disabled],.btn-default[disabled].active,.btn-default[disabled].focus,.btn-default[disabled]:active,.btn-default[disabled]:focus,.btn-default[disabled]:hover,fieldset[disabled] .btn-default,fieldset[disabled] .btn-default.active,fieldset[disabled] .btn-default.focus,fieldset[disabled] .btn-default:active,fieldset[disabled] .btn-default:focus,fieldset[disabled] .btn-default:hover{background-color:#fff;border-color:#ccc}.btn-default .badge{color:#fff;background-color:#333}.btn-primary{color:#fff;background-color:#337ab7;border-color:#2e6da4}.btn-primary.focus,.btn-primary:focus{color:#fff;background-color:#286090;border-color:#122b40}.btn-primary:hover{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active.focus,.btn-primary.active:focus,.btn-primary.active:hover,.btn-primary:active.focus,.btn-primary:active:focus,.btn-primary:active:hover,.open>.dropdown-toggle.btn-primary.focus,.open>.dropdown-toggle.btn-primary:focus,.open>.dropdown-toggle.btn-primary:hover{color:#fff;background-color:#204d74;border-color:#122b40}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{background-image:none}.btn-primary.disabled,.btn-primary.disabled.active,.btn-primary.disabled.focus,.btn-primary.disabled:active,.btn-primary.disabled:focus,.btn-primary.disabled:hover,.btn-primary[disabled],.btn-primary[disabled].active,.btn-primary[disabled].focus,.btn-primary[disabled]:active,.btn-primary[disabled]:focus,.btn-primary[disabled]:hover,fieldset[disabled] .btn-primary,fieldset[disabled] .btn-primary.active,fieldset[disabled] .btn-primary.focus,fieldset[disabled] .btn-primary:active,fieldset[disabled] .btn-primary:focus,fieldset[disabled] .btn-primary:hover{background-color:#337ab7;border-color:#2e6da4}.btn-primary .badge{color:#337ab7;background-color:#fff}.btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c}.btn-success.focus,.btn-success:focus{color:#fff;background-color:#449d44;border-color:#255625}.btn-success:hover{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active.focus,.btn-success.active:focus,.btn-success.active:hover,.btn-success:active.focus,.btn-success:active:focus,.btn-success:active:hover,.open>.dropdown-toggle.btn-success.focus,.open>.dropdown-toggle.btn-success:focus,.open>.dropdown-toggle.btn-success:hover{color:#fff;background-color:#398439;border-color:#255625}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{background-image:none}.btn-success.disabled,.btn-success.disabled.active,.btn-success.disabled.focus,.btn-success.disabled:active,.btn-success.disabled:focus,.btn-success.disabled:hover,.btn-success[disabled],.btn-success[disabled].active,.btn-success[disabled].focus,.btn-success[disabled]:active,.btn-success[disabled]:focus,.btn-success[disabled]:hover,fieldset[disabled] .btn-success,fieldset[disabled] .btn-success.active,fieldset[disabled] .btn-success.focus,fieldset[disabled] .btn-success:active,fieldset[disabled] .btn-success:focus,fieldset[disabled] .btn-success:hover{background-color:#5cb85c;border-color:#4cae4c}.btn-success .badge{color:#5cb85c;background-color:#fff}.btn-info{color:#fff;background-color:#5bc0de;border-color:#46b8da}.btn-info.focus,.btn-info:focus{color:#fff;background-color:#31b0d5;border-color:#1b6d85}.btn-info:hover{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active.focus,.btn-info.active:focus,.btn-info.active:hover,.btn-info:active.focus,.btn-info:active:focus,.btn-info:active:hover,.open>.dropdown-toggle.btn-info.focus,.open>.dropdown-toggle.btn-info:focus,.open>.dropdown-toggle.btn-info:hover{color:#fff;background-color:#269abc;border-color:#1b6d85}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{background-image:none}.btn-info.disabled,.btn-info.disabled.active,.btn-info.disabled.focus,.btn-info.disabled:active,.btn-info.disabled:focus,.btn-info.disabled:hover,.btn-info[disabled],.btn-info[disabled].active,.btn-info[disabled].focus,.btn-info[disabled]:active,.btn-info[disabled]:focus,.btn-info[disabled]:hover,fieldset[disabled] .btn-info,fieldset[disabled] .btn-info.active,fieldset[disabled] .btn-info.focus,fieldset[disabled] .btn-info:active,fieldset[disabled] .btn-info:focus,fieldset[disabled] .btn-info:hover{background-color:#5bc0de;border-color:#46b8da}.btn-info .badge{color:#5bc0de;background-color:#fff}.btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236}.btn-warning.focus,.btn-warning:focus{color:#fff;background-color:#ec971f;border-color:#985f0d}.btn-warning:hover{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active.focus,.btn-warning.active:focus,.btn-warning.active:hover,.btn-warning:active.focus,.btn-warning:active:focus,.btn-warning:active:hover,.open>.dropdown-toggle.btn-warning.focus,.open>.dropdown-toggle.btn-warning:focus,.open>.dropdown-toggle.btn-warning:hover{color:#fff;background-color:#d58512;border-color:#985f0d}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{background-image:none}.btn-warning.disabled,.btn-warning.disabled.active,.btn-warning.disabled.focus,.btn-warning.disabled:active,.btn-warning.disabled:focus,.btn-warning.disabled:hover,.btn-warning[disabled],.btn-warning[disabled].active,.btn-warning[disabled].focus,.btn-warning[disabled]:active,.btn-warning[disabled]:focus,.btn-warning[disabled]:hover,fieldset[disabled] .btn-warning,fieldset[disabled] .btn-warning.active,fieldset[disabled] .btn-warning.focus,fieldset[disabled] .btn-warning:active,fieldset[disabled] .btn-warning:focus,fieldset[disabled] .btn-warning:hover{background-color:#f0ad4e;border-color:#eea236}.btn-warning .badge{color:#f0ad4e;background-color:#fff}.btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a}.btn-danger.focus,.btn-danger:focus{color:#fff;background-color:#c9302c;border-color:#761c19}.btn-danger:hover{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active.focus,.btn-danger.active:focus,.btn-danger.active:hover,.btn-danger:active.focus,.btn-danger:active:focus,.btn-danger:active:hover,.open>.dropdown-toggle.btn-danger.focus,.open>.dropdown-toggle.btn-danger:focus,.open>.dropdown-toggle.btn-danger:hover{color:#fff;background-color:#ac2925;border-color:#761c19}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{background-image:none}.btn-danger.disabled,.btn-danger.disabled.active,.btn-danger.disabled.focus,.btn-danger.disabled:active,.btn-danger.disabled:focus,.btn-danger.disabled:hover,.btn-danger[disabled],.btn-danger[disabled].active,.btn-danger[disabled].focus,.btn-danger[disabled]:active,.btn-danger[disabled]:focus,.btn-danger[disabled]:hover,fieldset[disabled] .btn-danger,fieldset[disabled] .btn-danger.active,fieldset[disabled] .btn-danger.focus,fieldset[disabled] .btn-danger:active,fieldset[disabled] .btn-danger:focus,fieldset[disabled] .btn-danger:hover{background-color:#d9534f;border-color:#d43f3a}.btn-danger .badge{color:#d9534f;background-color:#fff}.btn-link{font-weight:400;color:#337ab7;border-radius:0}.btn-link,.btn-link.active,.btn-link:active,.btn-link[disabled],fieldset[disabled] .btn-link{background-color:transparent;-webkit-box-shadow:none;box-shadow:none}.btn-link,.btn-link:active,.btn-link:focus,.btn-link:hover{border-color:transparent}.btn-link:focus,.btn-link:hover{color:#23527c;text-decoration:underline;background-color:transparent}.btn-link[disabled]:focus,.btn-link[disabled]:hover,fieldset[disabled] .btn-link:focus,fieldset[disabled] .btn-link:hover{color:#777;text-decoration:none}.btn-group-lg>.btn,.btn-lg{padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.btn-group-sm>.btn,.btn-sm{padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.btn-group-xs>.btn,.btn-xs{padding:1px 5px;font-size:12px;line-height:1.5;border-radius:3px}.btn-block{display:block;width:100%}.btn-block+.btn-block{margin-top:5px}input[type=button].btn-block,input[type=reset].btn-block,input[type=submit].btn-block{width:100%}.fade{opacity:0;-webkit-transition:opacity .15s linear;-o-transition:opacity .15s linear;transition:opacity .15s linear}.fade.in{opacity:1}.collapse{display:none}.collapse.in{display:block}tr.collapse.in{display:table-row}tbody.collapse.in{display:table-row-group}.collapsing{position:relative;height:0;overflow:hidden;-webkit-transition-timing-function:ease;-o-transition-timing-function:ease;transition-timing-function:ease;-webkit-transition-duration:.35s;-o-transition-duration:.35s;transition-duration:.35s;-webkit-transition-property:height,visibility;-o-transition-property:height,visibility;transition-property:height,visibility}.caret{display:inline-block;width:0;height:0;margin-left:2px;vertical-align:middle;border-top:4px dashed;border-top:4px solid\9;border-right:4px solid transparent;border-left:4px solid transparent}.dropdown,.dropup{position:relative}.dropdown-toggle:focus{outline:0}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;font-size:14px;text-align:left;list-style:none;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.15);border-radius:4px;-webkit-box-shadow:0 6px 12px rgba(0,0,0,.175);box-shadow:0 6px 12px rgba(0,0,0,.175)}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:400;line-height:1.42857143;color:#333;white-space:nowrap}.dropdown-menu>li>a:focus,.dropdown-menu>li>a:hover{color:#262626;text-decoration:none;background-color:#f5f5f5}.dropdown-menu>.active>a,.dropdown-menu>.active>a:focus,.dropdown-menu>.active>a:hover{color:#fff;text-decoration:none;background-color:#337ab7;outline:0}.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{color:#777}.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{text-decoration:none;cursor:not-allowed;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.open>.dropdown-menu{display:block}.open>a{outline:0}.dropdown-menu-right{right:0;left:auto}.dropdown-menu-left{right:auto;left:0}.dropdown-header{display:block;padding:3px 20px;font-size:12px;line-height:1.42857143;color:#777;white-space:nowrap}.dropdown-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:990}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{content:"";border-top:0;border-bottom:4px dashed;border-bottom:4px solid\9}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:2px}@media (min-width:768px){.navbar-right .dropdown-menu{right:0;left:auto}.navbar-right .dropdown-menu-left{right:auto;left:0}}.btn-group,.btn-group-vertical{position:relative;display:inline-block;vertical-align:middle}.btn-group-vertical>.btn,.btn-group>.btn{position:relative;float:left}.btn-group-vertical>.btn.active,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:hover,.btn-group>.btn.active,.btn-group>.btn:active,.btn-group>.btn:focus,.btn-group>.btn:hover{z-index:2}.btn-group .btn+.btn,.btn-group .btn+.btn-group,.btn-group .btn-group+.btn,.btn-group .btn-group+.btn-group{margin-left:-1px}.btn-toolbar{margin-left:-5px}.btn-toolbar .btn,.btn-toolbar .btn-group,.btn-toolbar .input-group{float:left}.btn-toolbar>.btn,.btn-toolbar>.btn-group,.btn-toolbar>.input-group{margin-left:5px}.btn-group>.btn:not(:first-child):not(:last-child):not(.dropdown-toggle){border-radius:0}.btn-group>.btn:first-child{margin-left:0}.btn-group>.btn:first-child:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:last-child:not(:first-child),.btn-group>.dropdown-toggle:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.btn-group>.btn-group{float:left}.btn-group>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-bottom-left-radius:0}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{padding-right:8px;padding-left:8px}.btn-group>.btn-lg+.dropdown-toggle{padding-right:12px;padding-left:12px}.btn-group.open .dropdown-toggle{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn-group.open .dropdown-toggle.btn-link{-webkit-box-shadow:none;box-shadow:none}.btn .caret{margin-left:0}.btn-lg .caret{border-width:5px 5px 0;border-bottom-width:0}.dropup .btn-lg .caret{border-width:0 5px 5px}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group,.btn-group-vertical>.btn-group>.btn{display:block;float:none;width:100%;max-width:100%}.btn-group-vertical>.btn-group>.btn{float:none}.btn-group-vertical>.btn+.btn,.btn-group-vertical>.btn+.btn-group,.btn-group-vertical>.btn-group+.btn,.btn-group-vertical>.btn-group+.btn-group{margin-top:-1px;margin-left:0}.btn-group-vertical>.btn:not(:first-child):not(:last-child){border-radius:0}.btn-group-vertical>.btn:first-child:not(:last-child){border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn:last-child:not(:first-child){border-top-left-radius:0;border-top-right-radius:0;border-bottom-left-radius:4px}.btn-group-vertical>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group-vertical>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group-vertical>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-top-right-radius:0}.btn-group-justified{display:table;width:100%;table-layout:fixed;border-collapse:separate}.btn-group-justified>.btn,.btn-group-justified>.btn-group{display:table-cell;float:none;width:1%}.btn-group-justified>.btn-group .btn{width:100%}.btn-group-justified>.btn-group .dropdown-menu{left:auto}[data-toggle=buttons]>.btn input[type=checkbox],[data-toggle=buttons]>.btn input[type=radio],[data-toggle=buttons]>.btn-group>.btn input[type=checkbox],[data-toggle=buttons]>.btn-group>.btn input[type=radio]{position:absolute;clip:rect(0,0,0,0);pointer-events:none}.input-group{position:relative;display:table;border-collapse:separate}.input-group[class*=col-]{float:none;padding-right:0;padding-left:0}.input-group .form-control{position:relative;z-index:2;float:left;width:100%;margin-bottom:0}.input-group-lg>.form-control,.input-group-lg>.input-group-addon,.input-group-lg>.input-group-btn>.btn{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-group-lg>.form-control,select.input-group-lg>.input-group-addon,select.input-group-lg>.input-group-btn>.btn{height:46px;line-height:46px}select[multiple].input-group-lg>.form-control,select[multiple].input-group-lg>.input-group-addon,select[multiple].input-group-lg>.input-group-btn>.btn,textarea.input-group-lg>.form-control,textarea.input-group-lg>.input-group-addon,textarea.input-group-lg>.input-group-btn>.btn{height:auto}.input-group-sm>.form-control,.input-group-sm>.input-group-addon,.input-group-sm>.input-group-btn>.btn{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-group-sm>.form-control,select.input-group-sm>.input-group-addon,select.input-group-sm>.input-group-btn>.btn{height:30px;line-height:30px}select[multiple].input-group-sm>.form-control,select[multiple].input-group-sm>.input-group-addon,select[multiple].input-group-sm>.input-group-btn>.btn,textarea.input-group-sm>.form-control,textarea.input-group-sm>.input-group-addon,textarea.input-group-sm>.input-group-btn>.btn{height:auto}.input-group .form-control,.input-group-addon,.input-group-btn{display:table-cell}.input-group .form-control:not(:first-child):not(:last-child),.input-group-addon:not(:first-child):not(:last-child),.input-group-btn:not(:first-child):not(:last-child){border-radius:0}.input-group-addon,.input-group-btn{width:1%;white-space:nowrap;vertical-align:middle}.input-group-addon{padding:6px 12px;font-size:14px;font-weight:400;line-height:1;color:#555;text-align:center;background-color:#eee;border:1px solid #ccc;border-radius:4px}.input-group-addon.input-sm{padding:5px 10px;font-size:12px;border-radius:3px}.input-group-addon.input-lg{padding:10px 16px;font-size:18px;border-radius:6px}.input-group-addon input[type=checkbox],.input-group-addon input[type=radio]{margin-top:0}.input-group .form-control:first-child,.input-group-addon:first-child,.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group>.btn,.input-group-btn:first-child>.dropdown-toggle,.input-group-btn:last-child>.btn-group:not(:last-child)>.btn,.input-group-btn:last-child>.btn:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.input-group-addon:first-child{border-right:0}.input-group .form-control:last-child,.input-group-addon:last-child,.input-group-btn:first-child>.btn-group:not(:first-child)>.btn,.input-group-btn:first-child>.btn:not(:first-child),.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group>.btn,.input-group-btn:last-child>.dropdown-toggle{border-top-left-radius:0;border-bottom-left-radius:0}.input-group-addon:last-child{border-left:0}.input-group-btn{position:relative;font-size:0;white-space:nowrap}.input-group-btn>.btn{position:relative}.input-group-btn>.btn+.btn{margin-left:-1px}.input-group-btn>.btn:active,.input-group-btn>.btn:focus,.input-group-btn>.btn:hover{z-index:2}.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group{margin-right:-1px}.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group{z-index:2;margin-left:-1px}.nav{padding-left:0;margin-bottom:0;list-style:none}.nav>li{position:relative;display:block}.nav>li>a{position:relative;display:block;padding:10px 15px}.nav>li>a:focus,.nav>li>a:hover{text-decoration:none;background-color:#eee}.nav>li.disabled>a{color:#777}.nav>li.disabled>a:focus,.nav>li.disabled>a:hover{color:#777;text-decoration:none;cursor:not-allowed;background-color:transparent}.nav .open>a,.nav .open>a:focus,.nav .open>a:hover{background-color:#eee;border-color:#337ab7}.nav .nav-divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.nav>li>a>img{max-width:none}.nav-tabs{border-bottom:1px solid #ddd}.nav-tabs>li{float:left;margin-bottom:-1px}.nav-tabs>li>a{margin-right:2px;line-height:1.42857143;border:1px solid transparent;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover{border-color:#eee #eee #ddd}.nav-tabs>li.active>a,.nav-tabs>li.active>a:focus,.nav-tabs>li.active>a:hover{color:#555;cursor:default;background-color:#fff;border:1px solid #ddd;border-bottom-color:transparent}.nav-tabs.nav-justified{width:100%;border-bottom:0}.nav-tabs.nav-justified>li{float:none}.nav-tabs.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-tabs.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-tabs.nav-justified>li{display:table-cell;width:1%}.nav-tabs.nav-justified>li>a{margin-bottom:0}}.nav-tabs.nav-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs.nav-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border-bottom-color:#fff}}.nav-pills>li{float:left}.nav-pills>li>a{border-radius:4px}.nav-pills>li+li{margin-left:2px}.nav-pills>li.active>a,.nav-pills>li.active>a:focus,.nav-pills>li.active>a:hover{color:#fff;background-color:#337ab7}.nav-stacked>li{float:none}.nav-stacked>li+li{margin-top:2px;margin-left:0}.nav-justified{width:100%}.nav-justified>li{float:none}.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-justified>li{display:table-cell;width:1%}.nav-justified>li>a{margin-bottom:0}}.nav-tabs-justified{border-bottom:0}.nav-tabs-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border-bottom-color:#fff}}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.nav-tabs .dropdown-menu{margin-top:-1px;border-top-left-radius:0;border-top-right-radius:0}.navbar{position:relative;min-height:50px;margin-bottom:20px;border:1px solid transparent}@media (min-width:768px){.navbar{border-radius:4px}}@media (min-width:768px){.navbar-header{float:left}}.navbar-collapse{padding-right:15px;padding-left:15px;overflow-x:visible;-webkit-overflow-scrolling:touch;border-top:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1)}.navbar-collapse.in{overflow-y:auto}@media (min-width:768px){.navbar-collapse{width:auto;border-top:0;-webkit-box-shadow:none;box-shadow:none}.navbar-collapse.collapse{display:block!important;height:auto!important;padding-bottom:0;overflow:visible!important}.navbar-collapse.in{overflow-y:visible}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse,.navbar-static-top .navbar-collapse{padding-right:0;padding-left:0}}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:340px}@media (max-device-width:480px) and (orientation:landscape){.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:200px}}.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:0;margin-left:0}}.navbar-static-top{z-index:1000;border-width:0 0 1px}@media (min-width:768px){.navbar-static-top{border-radius:0}}.navbar-fixed-bottom,.navbar-fixed-top{position:fixed;right:0;left:0;z-index:1030}@media (min-width:768px){.navbar-fixed-bottom,.navbar-fixed-top{border-radius:0}}.navbar-fixed-top{top:0;border-width:0 0 1px}.navbar-fixed-bottom{bottom:0;margin-bottom:0;border-width:1px 0 0}.navbar-brand{float:left;height:50px;padding:15px 15px;font-size:18px;line-height:20px}.navbar-brand:focus,.navbar-brand:hover{text-decoration:none}.navbar-brand>img{display:block}@media (min-width:768px){.navbar>.container .navbar-brand,.navbar>.container-fluid .navbar-brand{margin-left:-15px}}.navbar-toggle{position:relative;float:right;padding:9px 10px;margin-top:8px;margin-right:15px;margin-bottom:8px;background-color:transparent;background-image:none;border:1px solid transparent;border-radius:4px}.navbar-toggle:focus{outline:0}.navbar-toggle .icon-bar{display:block;width:22px;height:2px;border-radius:1px}.navbar-toggle .icon-bar+.icon-bar{margin-top:4px}@media (min-width:768px){.navbar-toggle{display:none}}.navbar-nav{margin:7.5px -15px}.navbar-nav>li>a{padding-top:10px;padding-bottom:10px;line-height:20px}@media (max-width:767px){.navbar-nav .open .dropdown-menu{position:static;float:none;width:auto;margin-top:0;background-color:transparent;border:0;-webkit-box-shadow:none;box-shadow:none}.navbar-nav .open .dropdown-menu .dropdown-header,.navbar-nav .open .dropdown-menu>li>a{padding:5px 15px 5px 25px}.navbar-nav .open .dropdown-menu>li>a{line-height:20px}.navbar-nav .open .dropdown-menu>li>a:focus,.navbar-nav .open .dropdown-menu>li>a:hover{background-image:none}}@media (min-width:768px){.navbar-nav{float:left;margin:0}.navbar-nav>li{float:left}.navbar-nav>li>a{padding-top:15px;padding-bottom:15px}}.navbar-form{padding:10px 15px;margin-top:8px;margin-right:-15px;margin-bottom:8px;margin-left:-15px;border-top:1px solid transparent;border-bottom:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1)}@media (min-width:768px){.navbar-form .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.navbar-form .form-control{display:inline-block;width:auto;vertical-align:middle}.navbar-form .form-control-static{display:inline-block}.navbar-form .input-group{display:inline-table;vertical-align:middle}.navbar-form .input-group .form-control,.navbar-form .input-group .input-group-addon,.navbar-form .input-group .input-group-btn{width:auto}.navbar-form .input-group>.form-control{width:100%}.navbar-form .control-label{margin-bottom:0;vertical-align:middle}.navbar-form .checkbox,.navbar-form .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.navbar-form .checkbox label,.navbar-form .radio label{padding-left:0}.navbar-form .checkbox input[type=checkbox],.navbar-form .radio input[type=radio]{position:relative;margin-left:0}.navbar-form .has-feedback .form-control-feedback{top:0}}@media (max-width:767px){.navbar-form .form-group{margin-bottom:5px}.navbar-form .form-group:last-child{margin-bottom:0}}@media (min-width:768px){.navbar-form{width:auto;padding-top:0;padding-bottom:0;margin-right:0;margin-left:0;border:0;-webkit-box-shadow:none;box-shadow:none}}.navbar-nav>li>.dropdown-menu{margin-top:0;border-top-left-radius:0;border-top-right-radius:0}.navbar-fixed-bottom .navbar-nav>li>.dropdown-menu{margin-bottom:0;border-top-left-radius:4px;border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.navbar-btn{margin-top:8px;margin-bottom:8px}.navbar-btn.btn-sm{margin-top:10px;margin-bottom:10px}.navbar-btn.btn-xs{margin-top:14px;margin-bottom:14px}.navbar-text{margin-top:15px;margin-bottom:15px}@media (min-width:768px){.navbar-text{float:left;margin-right:15px;margin-left:15px}}@media (min-width:768px){.navbar-left{float:left!important}.navbar-right{float:right!important;margin-right:-15px}.navbar-right~.navbar-right{margin-right:0}}.navbar-default{background-color:#f8f8f8;border-color:#e7e7e7}.navbar-default .navbar-brand{color:#777}.navbar-default .navbar-brand:focus,.navbar-default .navbar-brand:hover{color:#5e5e5e;background-color:transparent}.navbar-default .navbar-text{color:#777}.navbar-default .navbar-nav>li>a{color:#777}.navbar-default .navbar-nav>li>a:focus,.navbar-default .navbar-nav>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav>.active>a,.navbar-default .navbar-nav>.active>a:focus,.navbar-default .navbar-nav>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav>.disabled>a,.navbar-default .navbar-nav>.disabled>a:focus,.navbar-default .navbar-nav>.disabled>a:hover{color:#ccc;background-color:transparent}.navbar-default .navbar-toggle{border-color:#ddd}.navbar-default .navbar-toggle:focus,.navbar-default .navbar-toggle:hover{background-color:#ddd}.navbar-default .navbar-toggle .icon-bar{background-color:#888}.navbar-default .navbar-collapse,.navbar-default .navbar-form{border-color:#e7e7e7}.navbar-default .navbar-nav>.open>a,.navbar-default .navbar-nav>.open>a:focus,.navbar-default .navbar-nav>.open>a:hover{color:#555;background-color:#e7e7e7}@media (max-width:767px){.navbar-default .navbar-nav .open .dropdown-menu>li>a{color:#777}.navbar-default .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav .open .dropdown-menu>.active>a,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#ccc;background-color:transparent}}.navbar-default .navbar-link{color:#777}.navbar-default .navbar-link:hover{color:#333}.navbar-default .btn-link{color:#777}.navbar-default .btn-link:focus,.navbar-default .btn-link:hover{color:#333}.navbar-default .btn-link[disabled]:focus,.navbar-default .btn-link[disabled]:hover,fieldset[disabled] .navbar-default .btn-link:focus,fieldset[disabled] .navbar-default .btn-link:hover{color:#ccc}.navbar-inverse{background-color:#222;border-color:#080808}.navbar-inverse .navbar-brand{color:#9d9d9d}.navbar-inverse .navbar-brand:focus,.navbar-inverse .navbar-brand:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-text{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a:focus,.navbar-inverse .navbar-nav>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav>.active>a,.navbar-inverse .navbar-nav>.active>a:focus,.navbar-inverse .navbar-nav>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav>.disabled>a,.navbar-inverse .navbar-nav>.disabled>a:focus,.navbar-inverse .navbar-nav>.disabled>a:hover{color:#444;background-color:transparent}.navbar-inverse .navbar-toggle{border-color:#333}.navbar-inverse .navbar-toggle:focus,.navbar-inverse .navbar-toggle:hover{background-color:#333}.navbar-inverse .navbar-toggle .icon-bar{background-color:#fff}.navbar-inverse .navbar-collapse,.navbar-inverse .navbar-form{border-color:#101010}.navbar-inverse .navbar-nav>.open>a,.navbar-inverse .navbar-nav>.open>a:focus,.navbar-inverse .navbar-nav>.open>a:hover{color:#fff;background-color:#080808}@media (max-width:767px){.navbar-inverse .navbar-nav .open .dropdown-menu>.dropdown-header{border-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu .divider{background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#444;background-color:transparent}}.navbar-inverse .navbar-link{color:#9d9d9d}.navbar-inverse .navbar-link:hover{color:#fff}.navbar-inverse .btn-link{color:#9d9d9d}.navbar-inverse .btn-link:focus,.navbar-inverse .btn-link:hover{color:#fff}.navbar-inverse .btn-link[disabled]:focus,.navbar-inverse .btn-link[disabled]:hover,fieldset[disabled] .navbar-inverse .btn-link:focus,fieldset[disabled] .navbar-inverse .btn-link:hover{color:#444}.breadcrumb{padding:8px 15px;margin-bottom:20px;list-style:none;background-color:#f5f5f5;border-radius:4px}.breadcrumb>li{display:inline-block}.breadcrumb>li+li:before{padding:0 5px;color:#ccc;content:"/\00a0"}.breadcrumb>.active{color:#777}.pagination{display:inline-block;padding-left:0;margin:20px 0;border-radius:4px}.pagination>li{display:inline}.pagination>li>a,.pagination>li>span{position:relative;float:left;padding:6px 12px;margin-left:-1px;line-height:1.42857143;color:#337ab7;text-decoration:none;background-color:#fff;border:1px solid #ddd}.pagination>li:first-child>a,.pagination>li:first-child>span{margin-left:0;border-top-left-radius:4px;border-bottom-left-radius:4px}.pagination>li:last-child>a,.pagination>li:last-child>span{border-top-right-radius:4px;border-bottom-right-radius:4px}.pagination>li>a:focus,.pagination>li>a:hover,.pagination>li>span:focus,.pagination>li>span:hover{z-index:3;color:#23527c;background-color:#eee;border-color:#ddd}.pagination>.active>a,.pagination>.active>a:focus,.pagination>.active>a:hover,.pagination>.active>span,.pagination>.active>span:focus,.pagination>.active>span:hover{z-index:2;color:#fff;cursor:default;background-color:#337ab7;border-color:#337ab7}.pagination>.disabled>a,.pagination>.disabled>a:focus,.pagination>.disabled>a:hover,.pagination>.disabled>span,.pagination>.disabled>span:focus,.pagination>.disabled>span:hover{color:#777;cursor:not-allowed;background-color:#fff;border-color:#ddd}.pagination-lg>li>a,.pagination-lg>li>span{padding:10px 16px;font-size:18px;line-height:1.3333333}.pagination-lg>li:first-child>a,.pagination-lg>li:first-child>span{border-top-left-radius:6px;border-bottom-left-radius:6px}.pagination-lg>li:last-child>a,.pagination-lg>li:last-child>span{border-top-right-radius:6px;border-bottom-right-radius:6px}.pagination-sm>li>a,.pagination-sm>li>span{padding:5px 10px;font-size:12px;line-height:1.5}.pagination-sm>li:first-child>a,.pagination-sm>li:first-child>span{border-top-left-radius:3px;border-bottom-left-radius:3px}.pagination-sm>li:last-child>a,.pagination-sm>li:last-child>span{border-top-right-radius:3px;border-bottom-right-radius:3px}.pager{padding-left:0;margin:20px 0;text-align:center;list-style:none}.pager li{display:inline}.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#fff;border:1px solid #ddd;border-radius:15px}.pager li>a:focus,.pager li>a:hover{text-decoration:none;background-color:#eee}.pager .next>a,.pager .next>span{float:right}.pager .previous>a,.pager .previous>span{float:left}.pager .disabled>a,.pager .disabled>a:focus,.pager .disabled>a:hover,.pager .disabled>span{color:#777;cursor:not-allowed;background-color:#fff}.label{display:inline;padding:.2em .6em .3em;font-size:75%;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:.25em}a.label:focus,a.label:hover{color:#fff;text-decoration:none;cursor:pointer}.label:empty{display:none}.btn .label{position:relative;top:-1px}.label-default{background-color:#777}.label-default[href]:focus,.label-default[href]:hover{background-color:#5e5e5e}.label-primary{background-color:#337ab7}.label-primary[href]:focus,.label-primary[href]:hover{background-color:#286090}.label-success{background-color:#5cb85c}.label-success[href]:focus,.label-success[href]:hover{background-color:#449d44}.label-info{background-color:#5bc0de}.label-info[href]:focus,.label-info[href]:hover{background-color:#31b0d5}.label-warning{background-color:#f0ad4e}.label-warning[href]:focus,.label-warning[href]:hover{background-color:#ec971f}.label-danger{background-color:#d9534f}.label-danger[href]:focus,.label-danger[href]:hover{background-color:#c9302c}.badge{display:inline-block;min-width:10px;padding:3px 7px;font-size:12px;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:middle;background-color:#777;border-radius:10px}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.btn-group-xs>.btn .badge,.btn-xs .badge{top:0;padding:1px 5px}a.badge:focus,a.badge:hover{color:#fff;text-decoration:none;cursor:pointer}.list-group-item.active>.badge,.nav-pills>.active>a>.badge{color:#337ab7;background-color:#fff}.list-group-item>.badge{float:right}.list-group-item>.badge+.badge{margin-right:5px}.nav-pills>li>a>.badge{margin-left:3px}.jumbotron{padding-top:30px;padding-bottom:30px;margin-bottom:30px;color:inherit;background-color:#eee}.jumbotron .h1,.jumbotron h1{color:inherit}.jumbotron p{margin-bottom:15px;font-size:21px;font-weight:200}.jumbotron>hr{border-top-color:#d5d5d5}.container .jumbotron,.container-fluid .jumbotron{border-radius:6px}.jumbotron .container{max-width:100%}@media screen and (min-width:768px){.jumbotron{padding-top:48px;padding-bottom:48px}.container .jumbotron,.container-fluid .jumbotron{padding-right:60px;padding-left:60px}.jumbotron .h1,.jumbotron h1{font-size:63px}}.thumbnail{display:block;padding:4px;margin-bottom:20px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:border .2s ease-in-out;-o-transition:border .2s ease-in-out;transition:border .2s ease-in-out}.thumbnail a>img,.thumbnail>img{margin-right:auto;margin-left:auto}a.thumbnail.active,a.thumbnail:focus,a.thumbnail:hover{border-color:#337ab7}.thumbnail .caption{padding:9px;color:#333}.alert{padding:15px;margin-bottom:20px;border:1px solid transparent;border-radius:4px}.alert h4{margin-top:0;color:inherit}.alert .alert-link{font-weight:700}.alert>p,.alert>ul{margin-bottom:0}.alert>p+p{margin-top:5px}.alert-dismissable,.alert-dismissible{padding-right:35px}.alert-dismissable .close,.alert-dismissible .close{position:relative;top:-2px;right:-21px;color:inherit}.alert-success{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.alert-success hr{border-top-color:#c9e2b3}.alert-success .alert-link{color:#2b542c}.alert-info{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.alert-info hr{border-top-color:#a6e1ec}.alert-info .alert-link{color:#245269}.alert-warning{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.alert-warning hr{border-top-color:#f7e1b5}.alert-warning .alert-link{color:#66512c}.alert-danger{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.alert-danger hr{border-top-color:#e4b9c0}.alert-danger .alert-link{color:#843534}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{height:20px;margin-bottom:20px;overflow:hidden;background-color:#f5f5f5;border-radius:4px;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,.1);box-shadow:inset 0 1px 2px rgba(0,0,0,.1)}.progress-bar{float:left;width:0;height:100%;font-size:12px;line-height:20px;color:#fff;text-align:center;background-color:#337ab7;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);-webkit-transition:width .6s ease;-o-transition:width .6s ease;transition:width .6s ease}.progress-bar-striped,.progress-striped .progress-bar{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);-webkit-background-size:40px 40px;background-size:40px 40px}.progress-bar.active,.progress.active .progress-bar{-webkit-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-bar-success{background-color:#5cb85c}.progress-striped .progress-bar-success{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-info{background-color:#5bc0de}.progress-striped .progress-bar-info{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-warning{background-color:#f0ad4e}.progress-striped .progress-bar-warning{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-danger{background-color:#d9534f}.progress-striped .progress-bar-danger{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.media{margin-top:15px}.media:first-child{margin-top:0}.media,.media-body{overflow:hidden;zoom:1}.media-body{width:10000px}.media-object{display:block}.media-object.img-thumbnail{max-width:none}.media-right,.media>.pull-right{padding-left:10px}.media-left,.media>.pull-left{padding-right:10px}.media-body,.media-left,.media-right{display:table-cell;vertical-align:top}.media-middle{vertical-align:middle}.media-bottom{vertical-align:bottom}.media-heading{margin-top:0;margin-bottom:5px}.media-list{padding-left:0;list-style:none}.list-group{padding-left:0;margin-bottom:20px}.list-group-item{position:relative;display:block;padding:10px 15px;margin-bottom:-1px;background-color:#fff;border:1px solid #ddd}.list-group-item:first-child{border-top-left-radius:4px;border-top-right-radius:4px}.list-group-item:last-child{margin-bottom:0;border-bottom-right-radius:4px;border-bottom-left-radius:4px}a.list-group-item,button.list-group-item{color:#555}a.list-group-item .list-group-item-heading,button.list-group-item .list-group-item-heading{color:#333}a.list-group-item:focus,a.list-group-item:hover,button.list-group-item:focus,button.list-group-item:hover{color:#555;text-decoration:none;background-color:#f5f5f5}button.list-group-item{width:100%;text-align:left}.list-group-item.disabled,.list-group-item.disabled:focus,.list-group-item.disabled:hover{color:#777;cursor:not-allowed;background-color:#eee}.list-group-item.disabled .list-group-item-heading,.list-group-item.disabled:focus .list-group-item-heading,.list-group-item.disabled:hover .list-group-item-heading{color:inherit}.list-group-item.disabled .list-group-item-text,.list-group-item.disabled:focus .list-group-item-text,.list-group-item.disabled:hover .list-group-item-text{color:#777}.list-group-item.active,.list-group-item.active:focus,.list-group-item.active:hover{z-index:2;color:#fff;background-color:#337ab7;border-color:#337ab7}.list-group-item.active .list-group-item-heading,.list-group-item.active .list-group-item-heading>.small,.list-group-item.active .list-group-item-heading>small,.list-group-item.active:focus .list-group-item-heading,.list-group-item.active:focus .list-group-item-heading>.small,.list-group-item.active:focus .list-group-item-heading>small,.list-group-item.active:hover .list-group-item-heading,.list-group-item.active:hover .list-group-item-heading>.small,.list-group-item.active:hover .list-group-item-heading>small{color:inherit}.list-group-item.active .list-group-item-text,.list-group-item.active:focus .list-group-item-text,.list-group-item.active:hover .list-group-item-text{color:#c7ddef}.list-group-item-success{color:#3c763d;background-color:#dff0d8}a.list-group-item-success,button.list-group-item-success{color:#3c763d}a.list-group-item-success .list-group-item-heading,button.list-group-item-success .list-group-item-heading{color:inherit}a.list-group-item-success:focus,a.list-group-item-success:hover,button.list-group-item-success:focus,button.list-group-item-success:hover{color:#3c763d;background-color:#d0e9c6}a.list-group-item-success.active,a.list-group-item-success.active:focus,a.list-group-item-success.active:hover,button.list-group-item-success.active,button.list-group-item-success.active:focus,button.list-group-item-success.active:hover{color:#fff;background-color:#3c763d;border-color:#3c763d}.list-group-item-info{color:#31708f;background-color:#d9edf7}a.list-group-item-info,button.list-group-item-info{color:#31708f}a.list-group-item-info .list-group-item-heading,button.list-group-item-info .list-group-item-heading{color:inherit}a.list-group-item-info:focus,a.list-group-item-info:hover,button.list-group-item-info:focus,button.list-group-item-info:hover{color:#31708f;background-color:#c4e3f3}a.list-group-item-info.active,a.list-group-item-info.active:focus,a.list-group-item-info.active:hover,button.list-group-item-info.active,button.list-group-item-info.active:focus,button.list-group-item-info.active:hover{color:#fff;background-color:#31708f;border-color:#31708f}.list-group-item-warning{color:#8a6d3b;background-color:#fcf8e3}a.list-group-item-warning,button.list-group-item-warning{color:#8a6d3b}a.list-group-item-warning .list-group-item-heading,button.list-group-item-warning .list-group-item-heading{color:inherit}a.list-group-item-warning:focus,a.list-group-item-warning:hover,button.list-group-item-warning:focus,button.list-group-item-warning:hover{color:#8a6d3b;background-color:#faf2cc}a.list-group-item-warning.active,a.list-group-item-warning.active:focus,a.list-group-item-warning.active:hover,button.list-group-item-warning.active,button.list-group-item-warning.active:focus,button.list-group-item-warning.active:hover{color:#fff;background-color:#8a6d3b;border-color:#8a6d3b}.list-group-item-danger{color:#a94442;background-color:#f2dede}a.list-group-item-danger,button.list-group-item-danger{color:#a94442}a.list-group-item-danger .list-group-item-heading,button.list-group-item-danger .list-group-item-heading{color:inherit}a.list-group-item-danger:focus,a.list-group-item-danger:hover,button.list-group-item-danger:focus,button.list-group-item-danger:hover{color:#a94442;background-color:#ebcccc}a.list-group-item-danger.active,a.list-group-item-danger.active:focus,a.list-group-item-danger.active:hover,button.list-group-item-danger.active,button.list-group-item-danger.active:focus,button.list-group-item-danger.active:hover{color:#fff;background-color:#a94442;border-color:#a94442}.list-group-item-heading{margin-top:0;margin-bottom:5px}.list-group-item-text{margin-bottom:0;line-height:1.3}.panel{margin-bottom:20px;background-color:#fff;border:1px solid transparent;border-radius:4px;-webkit-box-shadow:0 1px 1px rgba(0,0,0,.05);box-shadow:0 1px 1px rgba(0,0,0,.05)}.panel-body{padding:15px}.panel-heading{padding:10px 15px;border-bottom:1px solid transparent;border-top-left-radius:3px;border-top-right-radius:3px}.panel-heading>.dropdown .dropdown-toggle{color:inherit}.panel-title{margin-top:0;margin-bottom:0;font-size:16px;color:inherit}.panel-title>.small,.panel-title>.small>a,.panel-title>a,.panel-title>small,.panel-title>small>a{color:inherit}.panel-footer{padding:10px 15px;background-color:#f5f5f5;border-top:1px solid #ddd;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.list-group,.panel>.panel-collapse>.list-group{margin-bottom:0}.panel>.list-group .list-group-item,.panel>.panel-collapse>.list-group .list-group-item{border-width:1px 0;border-radius:0}.panel>.list-group:first-child .list-group-item:first-child,.panel>.panel-collapse>.list-group:first-child .list-group-item:first-child{border-top:0;border-top-left-radius:3px;border-top-right-radius:3px}.panel>.list-group:last-child .list-group-item:last-child,.panel>.panel-collapse>.list-group:last-child .list-group-item:last-child{border-bottom:0;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.panel-heading+.panel-collapse>.list-group .list-group-item:first-child{border-top-left-radius:0;border-top-right-radius:0}.panel-heading+.list-group .list-group-item:first-child{border-top-width:0}.list-group+.panel-footer{border-top-width:0}.panel>.panel-collapse>.table,.panel>.table,.panel>.table-responsive>.table{margin-bottom:0}.panel>.panel-collapse>.table caption,.panel>.table caption,.panel>.table-responsive>.table caption{padding-right:15px;padding-left:15px}.panel>.table-responsive:first-child>.table:first-child,.panel>.table:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child,.panel>.table:first-child>thead:first-child>tr:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table:first-child>thead:first-child>tr:first-child th:first-child{border-top-left-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table:first-child>thead:first-child>tr:first-child th:last-child{border-top-right-radius:3px}.panel>.table-responsive:last-child>.table:last-child,.panel>.table:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:first-child{border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:last-child{border-bottom-right-radius:3px}.panel>.panel-body+.table,.panel>.panel-body+.table-responsive,.panel>.table+.panel-body,.panel>.table-responsive+.panel-body{border-top:1px solid #ddd}.panel>.table>tbody:first-child>tr:first-child td,.panel>.table>tbody:first-child>tr:first-child th{border-top:0}.panel>.table-bordered,.panel>.table-responsive>.table-bordered{border:0}.panel>.table-bordered>tbody>tr>td:first-child,.panel>.table-bordered>tbody>tr>th:first-child,.panel>.table-bordered>tfoot>tr>td:first-child,.panel>.table-bordered>tfoot>tr>th:first-child,.panel>.table-bordered>thead>tr>td:first-child,.panel>.table-bordered>thead>tr>th:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:first-child,.panel>.table-responsive>.table-bordered>thead>tr>td:first-child,.panel>.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.panel>.table-bordered>tbody>tr>td:last-child,.panel>.table-bordered>tbody>tr>th:last-child,.panel>.table-bordered>tfoot>tr>td:last-child,.panel>.table-bordered>tfoot>tr>th:last-child,.panel>.table-bordered>thead>tr>td:last-child,.panel>.table-bordered>thead>tr>th:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:last-child,.panel>.table-responsive>.table-bordered>thead>tr>td:last-child,.panel>.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.panel>.table-bordered>tbody>tr:first-child>td,.panel>.table-bordered>tbody>tr:first-child>th,.panel>.table-bordered>thead>tr:first-child>td,.panel>.table-bordered>thead>tr:first-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>th,.panel>.table-responsive>.table-bordered>thead>tr:first-child>td,.panel>.table-responsive>.table-bordered>thead>tr:first-child>th{border-bottom:0}.panel>.table-bordered>tbody>tr:last-child>td,.panel>.table-bordered>tbody>tr:last-child>th,.panel>.table-bordered>tfoot>tr:last-child>td,.panel>.table-bordered>tfoot>tr:last-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>th,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>td,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}.panel>.table-responsive{margin-bottom:0;border:0}.panel-group{margin-bottom:20px}.panel-group .panel{margin-bottom:0;border-radius:4px}.panel-group .panel+.panel{margin-top:5px}.panel-group .panel-heading{border-bottom:0}.panel-group .panel-heading+.panel-collapse>.list-group,.panel-group .panel-heading+.panel-collapse>.panel-body{border-top:1px solid #ddd}.panel-group .panel-footer{border-top:0}.panel-group .panel-footer+.panel-collapse .panel-body{border-bottom:1px solid #ddd}.panel-default{border-color:#ddd}.panel-default>.panel-heading{color:#333;background-color:#f5f5f5;border-color:#ddd}.panel-default>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ddd}.panel-default>.panel-heading .badge{color:#f5f5f5;background-color:#333}.panel-default>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ddd}.panel-primary{border-color:#337ab7}.panel-primary>.panel-heading{color:#fff;background-color:#337ab7;border-color:#337ab7}.panel-primary>.panel-heading+.panel-collapse>.panel-body{border-top-color:#337ab7}.panel-primary>.panel-heading .badge{color:#337ab7;background-color:#fff}.panel-primary>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#337ab7}.panel-success{border-color:#d6e9c6}.panel-success>.panel-heading{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.panel-success>.panel-heading+.panel-collapse>.panel-body{border-top-color:#d6e9c6}.panel-success>.panel-heading .badge{color:#dff0d8;background-color:#3c763d}.panel-success>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#d6e9c6}.panel-info{border-color:#bce8f1}.panel-info>.panel-heading{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.panel-info>.panel-heading+.panel-collapse>.panel-body{border-top-color:#bce8f1}.panel-info>.panel-heading .badge{color:#d9edf7;background-color:#31708f}.panel-info>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#bce8f1}.panel-warning{border-color:#faebcc}.panel-warning>.panel-heading{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.panel-warning>.panel-heading+.panel-collapse>.panel-body{border-top-color:#faebcc}.panel-warning>.panel-heading .badge{color:#fcf8e3;background-color:#8a6d3b}.panel-warning>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#faebcc}.panel-danger{border-color:#ebccd1}.panel-danger>.panel-heading{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.panel-danger>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ebccd1}.panel-danger>.panel-heading .badge{color:#f2dede;background-color:#a94442}.panel-danger>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ebccd1}.embed-responsive{position:relative;display:block;height:0;padding:0;overflow:hidden}.embed-responsive .embed-responsive-item,.embed-responsive embed,.embed-responsive iframe,.embed-responsive object,.embed-responsive video{position:absolute;top:0;bottom:0;left:0;width:100%;height:100%;border:0}.embed-responsive-16by9{padding-bottom:56.25%}.embed-responsive-4by3{padding-bottom:75%}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.05);box-shadow:inset 0 1px 1px rgba(0,0,0,.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,.15)}.well-lg{padding:24px;border-radius:6px}.well-sm{padding:9px;border-radius:3px}.close{float:right;font-size:21px;font-weight:700;line-height:1;color:#000;text-shadow:0 1px 0 #fff;filter:alpha(opacity=20);opacity:.2}.close:focus,.close:hover{color:#000;text-decoration:none;cursor:pointer;filter:alpha(opacity=50);opacity:.5}button.close{-webkit-appearance:none;padding:0;cursor:pointer;background:0 0;border:0}.modal-open{overflow:hidden}.modal{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1050;display:none;overflow:hidden;-webkit-overflow-scrolling:touch;outline:0}.modal.fade .modal-dialog{-webkit-transition:-webkit-transform .3s ease-out;-o-transition:-o-transform .3s ease-out;transition:transform .3s ease-out;-webkit-transform:translate(0,-25%);-ms-transform:translate(0,-25%);-o-transform:translate(0,-25%);transform:translate(0,-25%)}.modal.in .modal-dialog{-webkit-transform:translate(0,0);-ms-transform:translate(0,0);-o-transform:translate(0,0);transform:translate(0,0)}.modal-open .modal{overflow-x:hidden;overflow-y:auto}.modal-dialog{position:relative;width:auto;margin:10px}.modal-content{position:relative;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #999;border:1px solid rgba(0,0,0,.2);border-radius:6px;outline:0;-webkit-box-shadow:0 3px 9px rgba(0,0,0,.5);box-shadow:0 3px 9px rgba(0,0,0,.5)}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000}.modal-backdrop.fade{filter:alpha(opacity=0);opacity:0}.modal-backdrop.in{filter:alpha(opacity=50);opacity:.5}.modal-header{min-height:16.43px;padding:15px;border-bottom:1px solid #e5e5e5}.modal-header .close{margin-top:-2px}.modal-title{margin:0;line-height:1.42857143}.modal-body{position:relative;padding:15px}.modal-footer{padding:15px;text-align:right;border-top:1px solid #e5e5e5}.modal-footer .btn+.btn{margin-bottom:0;margin-left:5px}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.modal-footer .btn-block+.btn-block{margin-left:0}.modal-scrollbar-measure{position:absolute;top:-9999px;width:50px;height:50px;overflow:scroll}@media (min-width:768px){.modal-dialog{width:600px;margin:30px auto}.modal-content{-webkit-box-shadow:0 5px 15px rgba(0,0,0,.5);box-shadow:0 5px 15px rgba(0,0,0,.5)}.modal-sm{width:300px}}@media (min-width:992px){.modal-lg{width:900px}}.tooltip{position:absolute;z-index:1070;display:block;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:12px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;filter:alpha(opacity=0);opacity:0;line-break:auto}.tooltip.in{filter:alpha(opacity=90);opacity:.9}.tooltip.top{padding:5px 0;margin-top:-3px}.tooltip.right{padding:0 5px;margin-left:3px}.tooltip.bottom{padding:5px 0;margin-top:3px}.tooltip.left{padding:0 5px;margin-left:-3px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#fff;text-align:center;background-color:#000;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-left .tooltip-arrow{right:5px;bottom:0;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-right .tooltip-arrow{bottom:0;left:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-width:5px 5px 5px 0;border-right-color:#000}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-width:5px 0 5px 5px;border-left-color:#000}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-left .tooltip-arrow{top:0;right:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-right .tooltip-arrow{top:0;left:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.popover{position:absolute;top:0;left:0;z-index:1060;display:none;max-width:276px;padding:1px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.2);border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,.2);box-shadow:0 5px 10px rgba(0,0,0,.2);line-break:auto}.popover.top{margin-top:-10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-left:-10px}.popover-title{padding:8px 14px;margin:0;font-size:14px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;border-radius:5px 5px 0 0}.popover-content{padding:9px 14px}.popover>.arrow,.popover>.arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid}.popover>.arrow{border-width:11px}.popover>.arrow:after{content:"";border-width:10px}.popover.top>.arrow{bottom:-11px;left:50%;margin-left:-11px;border-top-color:#999;border-top-color:rgba(0,0,0,.25);border-bottom-width:0}.popover.top>.arrow:after{bottom:1px;margin-left:-10px;content:" ";border-top-color:#fff;border-bottom-width:0}.popover.right>.arrow{top:50%;left:-11px;margin-top:-11px;border-right-color:#999;border-right-color:rgba(0,0,0,.25);border-left-width:0}.popover.right>.arrow:after{bottom:-10px;left:1px;content:" ";border-right-color:#fff;border-left-width:0}.popover.bottom>.arrow{top:-11px;left:50%;margin-left:-11px;border-top-width:0;border-bottom-color:#999;border-bottom-color:rgba(0,0,0,.25)}.popover.bottom>.arrow:after{top:1px;margin-left:-10px;content:" ";border-top-width:0;border-bottom-color:#fff}.popover.left>.arrow{top:50%;right:-11px;margin-top:-11px;border-right-width:0;border-left-color:#999;border-left-color:rgba(0,0,0,.25)}.popover.left>.arrow:after{right:1px;bottom:-10px;content:" ";border-right-width:0;border-left-color:#fff}.carousel{position:relative}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner>.item{position:relative;display:none;-webkit-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>a>img,.carousel-inner>.item>img{line-height:1}@media all and (transform-3d),(-webkit-transform-3d){.carousel-inner>.item{-webkit-transition:-webkit-transform .6s ease-in-out;-o-transition:-o-transform .6s ease-in-out;transition:transform .6s ease-in-out;-webkit-backface-visibility:hidden;backface-visibility:hidden;-webkit-perspective:1000px;perspective:1000px}.carousel-inner>.item.active.right,.carousel-inner>.item.next{left:0;-webkit-transform:translate3d(100%,0,0);transform:translate3d(100%,0,0)}.carousel-inner>.item.active.left,.carousel-inner>.item.prev{left:0;-webkit-transform:translate3d(-100%,0,0);transform:translate3d(-100%,0,0)}.carousel-inner>.item.active,.carousel-inner>.item.next.left,.carousel-inner>.item.prev.right{left:0;-webkit-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:0;bottom:0;left:0;width:15%;font-size:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6);filter:alpha(opacity=50);opacity:.5}.carousel-control.left{background-image:-webkit-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.5)),to(rgba(0,0,0,.0001)));background-image:linear-gradient(to right,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);background-repeat:repeat-x}.carousel-control.right{right:0;left:auto;background-image:-webkit-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.0001)),to(rgba(0,0,0,.5)));background-image:linear-gradient(to right,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);background-repeat:repeat-x}.carousel-control:focus,.carousel-control:hover{color:#fff;text-decoration:none;filter:alpha(opacity=90);outline:0;opacity:.9}.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{position:absolute;top:50%;z-index:5;display:inline-block;margin-top:-10px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{left:50%;margin-left:-10px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{right:50%;margin-right:-10px}.carousel-control .icon-next,.carousel-control .icon-prev{width:20px;height:20px;font-family:serif;line-height:1}.carousel-control .icon-prev:before{content:'\2039'}.carousel-control .icon-next:before{content:'\203a'}.carousel-indicators{position:absolute;bottom:10px;left:50%;z-index:15;width:60%;padding-left:0;margin-left:-30%;text-align:center;list-style:none}.carousel-indicators li{display:inline-block;width:10px;height:10px;margin:1px;text-indent:-999px;cursor:pointer;background-color:#000\9;background-color:rgba(0,0,0,0);border:1px solid #fff;border-radius:10px}.carousel-indicators .active{width:12px;height:12px;margin:0;background-color:#fff}.carousel-caption{position:absolute;right:15%;bottom:20px;left:15%;z-index:10;padding-top:20px;padding-bottom:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6)}.carousel-caption .btn{text-shadow:none}@media screen and (min-width:768px){.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{width:30px;height:30px;margin-top:-15px;font-size:30px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{margin-left:-15px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{margin-right:-15px}.carousel-caption{right:20%;left:20%;padding-bottom:30px}.carousel-indicators{bottom:20px}}.btn-group-vertical>.btn-group:after,.btn-group-vertical>.btn-group:before,.btn-toolbar:after,.btn-toolbar:before,.clearfix:after,.clearfix:before,.container-fluid:after,.container-fluid:before,.container:after,.container:before,.dl-horizontal dd:after,.dl-horizontal dd:before,.form-horizontal .form-group:after,.form-horizontal .form-group:before,.modal-footer:after,.modal-footer:before,.nav:after,.nav:before,.navbar-collapse:after,.navbar-collapse:before,.navbar-header:after,.navbar-header:before,.navbar:after,.navbar:before,.pager:after,.pager:before,.panel-body:after,.panel-body:before,.row:after,.row:before{display:table;content:" "}.btn-group-vertical>.btn-group:after,.btn-toolbar:after,.clearfix:after,.container-fluid:after,.container:after,.dl-horizontal dd:after,.form-horizontal .form-group:after,.modal-footer:after,.nav:after,.navbar-collapse:after,.navbar-header:after,.navbar:after,.pager:after,.panel-body:after,.row:after{clear:both}.center-block{display:block;margin-right:auto;margin-left:auto}.pull-right{float:right!important}.pull-left{float:left!important}.hide{display:none!important}.show{display:block!important}.invisible{visibility:hidden}.text-hide{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.hidden{display:none!important}.affix{position:fixed}@-ms-viewport{width:device-width}.visible-lg,.visible-md,.visible-sm,.visible-xs{display:none!important}.visible-lg-block,.visible-lg-inline,.visible-lg-inline-block,.visible-md-block,.visible-md-inline,.visible-md-inline-block,.visible-sm-block,.visible-sm-inline,.visible-sm-inline-block,.visible-xs-block,.visible-xs-inline,.visible-xs-inline-block{display:none!important}@media (max-width:767px){.visible-xs{display:block!important}table.visible-xs{display:table!important}tr.visible-xs{display:table-row!important}td.visible-xs,th.visible-xs{display:table-cell!important}}@media (max-width:767px){.visible-xs-block{display:block!important}}@media (max-width:767px){.visible-xs-inline{display:inline!important}}@media (max-width:767px){.visible-xs-inline-block{display:inline-block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm{display:block!important}table.visible-sm{display:table!important}tr.visible-sm{display:table-row!important}td.visible-sm,th.visible-sm{display:table-cell!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-block{display:block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline{display:inline!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline-block{display:inline-block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md{display:block!important}table.visible-md{display:table!important}tr.visible-md{display:table-row!important}td.visible-md,th.visible-md{display:table-cell!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-block{display:block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline{display:inline!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline-block{display:inline-block!important}}@media (min-width:1200px){.visible-lg{display:block!important}table.visible-lg{display:table!important}tr.visible-lg{display:table-row!important}td.visible-lg,th.visible-lg{display:table-cell!important}}@media (min-width:1200px){.visible-lg-block{display:block!important}}@media (min-width:1200px){.visible-lg-inline{display:inline!important}}@media (min-width:1200px){.visible-lg-inline-block{display:inline-block!important}}@media (max-width:767px){.hidden-xs{display:none!important}}@media (min-width:768px) and (max-width:991px){.hidden-sm{display:none!important}}@media (min-width:992px) and (max-width:1199px){.hidden-md{display:none!important}}@media (min-width:1200px){.hidden-lg{display:none!important}}.visible-print{display:none!important}@media print{.visible-print{display:block!important}table.visible-print{display:table!important}tr.visible-print{display:table-row!important}td.visible-print,th.visible-print{display:table-cell!important}}.visible-print-block{display:none!important}@media print{.visible-print-block{display:block!important}}.visible-print-inline{display:none!important}@media print{.visible-print-inline{display:inline!important}}.visible-print-inline-block{display:none!important}@media print{.visible-print-inline-block{display:inline-block!important}}@media print{.hidden-print{display:none!important}}
@@ -1500,12 +1497,12 @@ div.tocify {
 
 <!-- setup 3col/9col grid for toc_float and main content  -->
 <div class="row">
-<div class="col-sm-12 col-md-4 col-lg-3">
+<div class="col-xs-12 col-sm-4 col-md-3">
 <div id="TOC" class="tocify">
 </div>
 </div>
 
-<div class="toc-content col-sm-12 col-md-8 col-lg-9">
+<div class="toc-content col-xs-12 col-sm-8 col-md-9">
 
 
 
@@ -1516,7 +1513,7 @@ div.tocify {
 
 <h1 class="title toc-ignore">Example evaluation of FOCUS Laboratory Data L1 to L3</h1>
 <h4 class="author">Johannes Ranke</h4>
-<h4 class="date">Last change 17 November 2016 (rebuilt 2021-03-31)</h4>
+<h4 class="date">Last change 17 November 2016 (rebuilt 2021-11-17)</h4>
 
 </div>
 
@@ -1535,10 +1532,10 @@ FOCUS_2006_L1_mkin &lt;- mkin_wide_to_long(FOCUS_2006_L1)</code></pre>
 <p>Since mkin version 0.9-32 (July 2014), we can use shorthand notation like <code>&quot;SFO&quot;</code> for parent only degradation models. The following two lines fit the model and produce the summary report of the model fit. This covers the numerical analysis given in the FOCUS report.</p>
 <pre class="r"><code>m.L1.SFO &lt;- mkinfit(&quot;SFO&quot;, FOCUS_2006_L1_mkin, quiet = TRUE)
 summary(m.L1.SFO)</code></pre>
-<pre><code>## mkin version used for fitting:    1.0.4 
-## R version used for fitting:       4.0.4 
-## Date of fit:     Wed Mar 31 19:01:37 2021 
-## Date of summary: Wed Mar 31 19:01:37 2021 
+<pre><code>## mkin version used for fitting:    1.1.0 
+## R version used for fitting:       4.1.2 
+## Date of fit:     Wed Nov 17 12:15:51 2021 
+## Date of summary: Wed Nov 17 12:15:51 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
@@ -1636,17 +1633,17 @@ summary(m.L1.SFO)</code></pre>
 <pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
 <pre><code>## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is
 ## doubtful</code></pre>
-<pre><code>## mkin version used for fitting:    1.0.4 
-## R version used for fitting:       4.0.4 
-## Date of fit:     Wed Mar 31 19:01:37 2021 
-## Date of summary: Wed Mar 31 19:01:37 2021 
+<pre><code>## mkin version used for fitting:    1.1.0 
+## R version used for fitting:       4.1.2 
+## Date of fit:     Wed Nov 17 12:15:51 2021 
+## Date of summary: Wed Nov 17 12:15:51 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 369 model solutions performed in 0.083 s
+## Fitted using 369 model solutions performed in 0.082 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -1741,10 +1738,10 @@ plot(m.L2.FOMC, show_residuals = TRUE,
      main = &quot;FOCUS L2 - FOMC&quot;)</code></pre>
 <p><img src="data:image/png;base64,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" /><!-- --></p>
 <pre class="r"><code>summary(m.L2.FOMC, data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    1.0.4 
-## R version used for fitting:       4.0.4 
-## Date of fit:     Wed Mar 31 19:01:37 2021 
-## Date of summary: Wed Mar 31 19:01:37 2021 
+<pre><code>## mkin version used for fitting:    1.1.0 
+## R version used for fitting:       4.1.2 
+## Date of fit:     Wed Nov 17 12:15:52 2021 
+## Date of summary: Wed Nov 17 12:15:52 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
@@ -1819,10 +1816,10 @@ plot(m.L2.DFOP, show_residuals = TRUE, show_errmin = TRUE,
      main = &quot;FOCUS L2 - DFOP&quot;)</code></pre>
 <p><img src="data:image/png;base64,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" /><!-- --></p>
 <pre class="r"><code>summary(m.L2.DFOP, data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    1.0.4 
-## R version used for fitting:       4.0.4 
-## Date of fit:     Wed Mar 31 19:01:38 2021 
-## Date of summary: Wed Mar 31 19:01:38 2021 
+<pre><code>## mkin version used for fitting:    1.1.0 
+## R version used for fitting:       4.1.2 
+## Date of fit:     Wed Nov 17 12:15:52 2021 
+## Date of summary: Wed Nov 17 12:15:52 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -1919,10 +1916,10 @@ plot(mm.L3)</code></pre>
 <p>The objects returned by mmkin are arranged like a matrix, with models as a row index and datasets as a column index.</p>
 <p>We can extract the summary and plot for <em>e.g.</em> the DFOP fit, using square brackets for indexing which will result in the use of the summary and plot functions working on mkinfit objects.</p>
 <pre class="r"><code>summary(mm.L3[[&quot;DFOP&quot;, 1]])</code></pre>
-<pre><code>## mkin version used for fitting:    1.0.4 
-## R version used for fitting:       4.0.4 
-## Date of fit:     Wed Mar 31 19:01:38 2021 
-## Date of summary: Wed Mar 31 19:01:38 2021 
+<pre><code>## mkin version used for fitting:    1.1.0 
+## R version used for fitting:       4.1.2 
+## Date of fit:     Wed Nov 17 12:15:52 2021 
+## Date of summary: Wed Nov 17 12:15:52 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -1931,7 +1928,7 @@ plot(mm.L3)</code></pre>
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 376 model solutions performed in 0.081 s
+## Fitted using 376 model solutions performed in 0.08 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -2027,17 +2024,17 @@ plot(mm.L4)</code></pre>
 <p><img src="data:image/png;base64,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" /><!-- --></p>
 <p>The <span class="math inline"><em>χ</em><sup>2</sup></span> error level of 3.3% as well as the plot suggest that the SFO model fits very well. The error level at which the <span class="math inline"><em>χ</em><sup>2</sup></span> test passes is slightly lower for the FOMC model. However, the difference appears negligible.</p>
 <pre class="r"><code>summary(mm.L4[[&quot;SFO&quot;, 1]], data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    1.0.4 
-## R version used for fitting:       4.0.4 
-## Date of fit:     Wed Mar 31 19:01:38 2021 
-## Date of summary: Wed Mar 31 19:01:38 2021 
+<pre><code>## mkin version used for fitting:    1.1.0 
+## R version used for fitting:       4.1.2 
+## Date of fit:     Wed Nov 17 12:15:53 2021 
+## Date of summary: Wed Nov 17 12:15:53 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 142 model solutions performed in 0.031 s
+## Fitted using 142 model solutions performed in 0.03 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -2091,10 +2088,10 @@ plot(mm.L4)</code></pre>
 ##        DT50 DT90
 ## parent  106  352</code></pre>
 <pre class="r"><code>summary(mm.L4[[&quot;FOMC&quot;, 1]], data = FALSE)</code></pre>
-<pre><code>## mkin version used for fitting:    1.0.4 
-## R version used for fitting:       4.0.4 
-## Date of fit:     Wed Mar 31 19:01:38 2021 
-## Date of summary: Wed Mar 31 19:01:38 2021 
+<pre><code>## mkin version used for fitting:    1.1.0 
+## R version used for fitting:       4.1.2 
+## Date of fit:     Wed Nov 17 12:15:53 2021 
+## Date of summary: Wed Nov 17 12:15:53 2021 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
@@ -2208,6 +2205,9 @@ $(document).ready(function () {
 <script>
 $(document).ready(function ()  {
 
+    // temporarily add toc-ignore selector to headers for the consistency with Pandoc
+    $('.unlisted.unnumbered').addClass('toc-ignore')
+
     // move toc-ignore selectors from section div to header
     $('div.section.toc-ignore')
         .removeClass('toc-ignore')
diff --git a/vignettes/mkin.html b/vignettes/mkin.html
index 4afe6afd..58d49112 100644
--- a/vignettes/mkin.html
+++ b/vignettes/mkin.html
@@ -27,11 +27,8 @@ document.addEventListener('DOMContentLoaded', function(e) {
   }
 });
 </script>
-<script>/*! jQuery v1.11.3 | (c) 2005, 2015 jQuery Foundation, Inc. | jquery.org/license */
-!function(a,b){"object"==typeof module&&"object"==typeof module.exports?module.exports=a.document?b(a,!0):function(a){if(!a.document)throw new Error("jQuery requires a window with a document");return b(a)}:b(a)}("undefined"!=typeof window?window:this,function(a,b){var c=[],d=c.slice,e=c.concat,f=c.push,g=c.indexOf,h={},i=h.toString,j=h.hasOwnProperty,k={},l="1.11.3",m=function(a,b){return new m.fn.init(a,b)},n=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g,o=/^-ms-/,p=/-([\da-z])/gi,q=function(a,b){return b.toUpperCase()};m.fn=m.prototype={jquery:l,constructor:m,selector:"",length:0,toArray:function(){return d.call(this)},get:function(a){return null!=a?0>a?this[a+this.length]:this[a]:d.call(this)},pushStack:function(a){var b=m.merge(this.constructor(),a);return b.prevObject=this,b.context=this.context,b},each:function(a,b){return m.each(this,a,b)},map:function(a){return this.pushStack(m.map(this,function(b,c){return a.call(b,c,b)}))},slice:function(){return this.pushStack(d.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},eq:function(a){var b=this.length,c=+a+(0>a?b:0);return this.pushStack(c>=0&&b>c?[this[c]]:[])},end:function(){return this.prevObject||this.constructor(null)},push:f,sort:c.sort,splice:c.splice},m.extend=m.fn.extend=function(){var a,b,c,d,e,f,g=arguments[0]||{},h=1,i=arguments.length,j=!1;for("boolean"==typeof g&&(j=g,g=arguments[h]||{},h++),"object"==typeof g||m.isFunction(g)||(g={}),h===i&&(g=this,h--);i>h;h++)if(null!=(e=arguments[h]))for(d in e)a=g[d],c=e[d],g!==c&&(j&&c&&(m.isPlainObject(c)||(b=m.isArray(c)))?(b?(b=!1,f=a&&m.isArray(a)?a:[]):f=a&&m.isPlainObject(a)?a:{},g[d]=m.extend(j,f,c)):void 0!==c&&(g[d]=c));return g},m.extend({expando:"jQuery"+(l+Math.random()).replace(/\D/g,""),isReady:!0,error:function(a){throw new Error(a)},noop:function(){},isFunction:function(a){return"function"===m.type(a)},isArray:Array.isArray||function(a){return"array"===m.type(a)},isWindow:function(a){return null!=a&&a==a.window},isNumeric:function(a){return!m.isArray(a)&&a-parseFloat(a)+1>=0},isEmptyObject:function(a){var b;for(b in a)return!1;return!0},isPlainObject:function(a){var b;if(!a||"object"!==m.type(a)||a.nodeType||m.isWindow(a))return!1;try{if(a.constructor&&!j.call(a,"constructor")&&!j.call(a.constructor.prototype,"isPrototypeOf"))return!1}catch(c){return!1}if(k.ownLast)for(b in a)return j.call(a,b);for(b in a);return void 0===b||j.call(a,b)},type:function(a){return null==a?a+"":"object"==typeof a||"function"==typeof a?h[i.call(a)]||"object":typeof a},globalEval:function(b){b&&m.trim(b)&&(a.execScript||function(b){a.eval.call(a,b)})(b)},camelCase:function(a){return a.replace(o,"ms-").replace(p,q)},nodeName:function(a,b){return a.nodeName&&a.nodeName.toLowerCase()===b.toLowerCase()},each:function(a,b,c){var d,e=0,f=a.length,g=r(a);if(c){if(g){for(;f>e;e++)if(d=b.apply(a[e],c),d===!1)break}else for(e in a)if(d=b.apply(a[e],c),d===!1)break}else if(g){for(;f>e;e++)if(d=b.call(a[e],e,a[e]),d===!1)break}else for(e in a)if(d=b.call(a[e],e,a[e]),d===!1)break;return a},trim:function(a){return null==a?"":(a+"").replace(n,"")},makeArray:function(a,b){var c=b||[];return null!=a&&(r(Object(a))?m.merge(c,"string"==typeof a?[a]:a):f.call(c,a)),c},inArray:function(a,b,c){var d;if(b){if(g)return g.call(b,a,c);for(d=b.length,c=c?0>c?Math.max(0,d+c):c:0;d>c;c++)if(c in b&&b[c]===a)return c}return-1},merge:function(a,b){var c=+b.length,d=0,e=a.length;while(c>d)a[e++]=b[d++];if(c!==c)while(void 0!==b[d])a[e++]=b[d++];return a.length=e,a},grep:function(a,b,c){for(var d,e=[],f=0,g=a.length,h=!c;g>f;f++)d=!b(a[f],f),d!==h&&e.push(a[f]);return e},map:function(a,b,c){var d,f=0,g=a.length,h=r(a),i=[];if(h)for(;g>f;f++)d=b(a[f],f,c),null!=d&&i.push(d);else for(f in a)d=b(a[f],f,c),null!=d&&i.push(d);return e.apply([],i)},guid:1,proxy:function(a,b){var c,e,f;return"string"==typeof b&&(f=a[b],b=a,a=f),m.isFunction(a)?(c=d.call(arguments,2),e=function(){return a.apply(b||this,c.concat(d.call(arguments)))},e.guid=a.guid=a.guid||m.guid++,e):void 0},now:function(){return+new Date},support:k}),m.each("Boolean Number String Function Array Date RegExp Object Error".split(" "),function(a,b){h["[object "+b+"]"]=b.toLowerCase()});function r(a){var b="length"in a&&a.length,c=m.type(a);return"function"===c||m.isWindow(a)?!1:1===a.nodeType&&b?!0:"array"===c||0===b||"number"==typeof b&&b>0&&b-1 in a}var s=function(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u="sizzle"+1*new Date,v=a.document,w=0,x=0,y=ha(),z=ha(),A=ha(),B=function(a,b){return a===b&&(l=!0),0},C=1<<31,D={}.hasOwnProperty,E=[],F=E.pop,G=E.push,H=E.push,I=E.slice,J=function(a,b){for(var c=0,d=a.length;d>c;c++)if(a[c]===b)return c;return-1},K="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",L="[\\x20\\t\\r\\n\\f]",M="(?:\\\\.|[\\w-]|[^\\x00-\\xa0])+",N=M.replace("w","w#"),O="\\["+L+"*("+M+")(?:"+L+"*([*^$|!~]?=)"+L+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+N+"))|)"+L+"*\\]",P=":("+M+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+O+")*)|.*)\\)|)",Q=new RegExp(L+"+","g"),R=new RegExp("^"+L+"+|((?:^|[^\\\\])(?:\\\\.)*)"+L+"+$","g"),S=new RegExp("^"+L+"*,"+L+"*"),T=new RegExp("^"+L+"*([>+~]|"+L+")"+L+"*"),U=new RegExp("="+L+"*([^\\]'\"]*?)"+L+"*\\]","g"),V=new RegExp(P),W=new RegExp("^"+N+"$"),X={ID:new RegExp("^#("+M+")"),CLASS:new RegExp("^\\.("+M+")"),TAG:new RegExp("^("+M.replace("w","w*")+")"),ATTR:new RegExp("^"+O),PSEUDO:new RegExp("^"+P),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+L+"*(even|odd|(([+-]|)(\\d*)n|)"+L+"*(?:([+-]|)"+L+"*(\\d+)|))"+L+"*\\)|)","i"),bool:new RegExp("^(?:"+K+")$","i"),needsContext:new RegExp("^"+L+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+L+"*((?:-\\d)?\\d*)"+L+"*\\)|)(?=[^-]|$)","i")},Y=/^(?:input|select|textarea|button)$/i,Z=/^h\d$/i,$=/^[^{]+\{\s*\[native \w/,_=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,aa=/[+~]/,ba=/'|\\/g,ca=new RegExp("\\\\([\\da-f]{1,6}"+L+"?|("+L+")|.)","ig"),da=function(a,b,c){var d="0x"+b-65536;return d!==d||c?b:0>d?String.fromCharCode(d+65536):String.fromCharCode(d>>10|55296,1023&d|56320)},ea=function(){m()};try{H.apply(E=I.call(v.childNodes),v.childNodes),E[v.childNodes.length].nodeType}catch(fa){H={apply:E.length?function(a,b){G.apply(a,I.call(b))}:function(a,b){var c=a.length,d=0;while(a[c++]=b[d++]);a.length=c-1}}}function ga(a,b,d,e){var f,h,j,k,l,o,r,s,w,x;if((b?b.ownerDocument||b:v)!==n&&m(b),b=b||n,d=d||[],k=b.nodeType,"string"!=typeof a||!a||1!==k&&9!==k&&11!==k)return d;if(!e&&p){if(11!==k&&(f=_.exec(a)))if(j=f[1]){if(9===k){if(h=b.getElementById(j),!h||!h.parentNode)return d;if(h.id===j)return d.push(h),d}else if(b.ownerDocument&&(h=b.ownerDocument.getElementById(j))&&t(b,h)&&h.id===j)return d.push(h),d}else{if(f[2])return H.apply(d,b.getElementsByTagName(a)),d;if((j=f[3])&&c.getElementsByClassName)return H.apply(d,b.getElementsByClassName(j)),d}if(c.qsa&&(!q||!q.test(a))){if(s=r=u,w=b,x=1!==k&&a,1===k&&"object"!==b.nodeName.toLowerCase()){o=g(a),(r=b.getAttribute("id"))?s=r.replace(ba,"\\$&"):b.setAttribute("id",s),s="[id='"+s+"'] ",l=o.length;while(l--)o[l]=s+ra(o[l]);w=aa.test(a)&&pa(b.parentNode)||b,x=o.join(",")}if(x)try{return H.apply(d,w.querySelectorAll(x)),d}catch(y){}finally{r||b.removeAttribute("id")}}}return i(a.replace(R,"$1"),b,d,e)}function ha(){var a=[];function b(c,e){return a.push(c+" ")>d.cacheLength&&delete b[a.shift()],b[c+" "]=e}return b}function ia(a){return a[u]=!0,a}function ja(a){var b=n.createElement("div");try{return!!a(b)}catch(c){return!1}finally{b.parentNode&&b.parentNode.removeChild(b),b=null}}function ka(a,b){var c=a.split("|"),e=a.length;while(e--)d.attrHandle[c[e]]=b}function la(a,b){var c=b&&a,d=c&&1===a.nodeType&&1===b.nodeType&&(~b.sourceIndex||C)-(~a.sourceIndex||C);if(d)return d;if(c)while(c=c.nextSibling)if(c===b)return-1;return a?1:-1}function ma(a){return function(b){var c=b.nodeName.toLowerCase();return"input"===c&&b.type===a}}function na(a){return function(b){var c=b.nodeName.toLowerCase();return("input"===c||"button"===c)&&b.type===a}}function oa(a){return ia(function(b){return b=+b,ia(function(c,d){var e,f=a([],c.length,b),g=f.length;while(g--)c[e=f[g]]&&(c[e]=!(d[e]=c[e]))})})}function pa(a){return a&&"undefined"!=typeof a.getElementsByTagName&&a}c=ga.support={},f=ga.isXML=function(a){var b=a&&(a.ownerDocument||a).documentElement;return b?"HTML"!==b.nodeName:!1},m=ga.setDocument=function(a){var b,e,g=a?a.ownerDocument||a:v;return g!==n&&9===g.nodeType&&g.documentElement?(n=g,o=g.documentElement,e=g.defaultView,e&&e!==e.top&&(e.addEventListener?e.addEventListener("unload",ea,!1):e.attachEvent&&e.attachEvent("onunload",ea)),p=!f(g),c.attributes=ja(function(a){return a.className="i",!a.getAttribute("className")}),c.getElementsByTagName=ja(function(a){return a.appendChild(g.createComment("")),!a.getElementsByTagName("*").length}),c.getElementsByClassName=$.test(g.getElementsByClassName),c.getById=ja(function(a){return o.appendChild(a).id=u,!g.getElementsByName||!g.getElementsByName(u).length}),c.getById?(d.find.ID=function(a,b){if("undefined"!=typeof b.getElementById&&p){var c=b.getElementById(a);return c&&c.parentNode?[c]:[]}},d.filter.ID=function(a){var b=a.replace(ca,da);return function(a){return a.getAttribute("id")===b}}):(delete d.find.ID,d.filter.ID=function(a){var b=a.replace(ca,da);return function(a){var c="undefined"!=typeof a.getAttributeNode&&a.getAttributeNode("id");return c&&c.value===b}}),d.find.TAG=c.getElementsByTagName?function(a,b){return"undefined"!=typeof b.getElementsByTagName?b.getElementsByTagName(a):c.qsa?b.querySelectorAll(a):void 0}:function(a,b){var c,d=[],e=0,f=b.getElementsByTagName(a);if("*"===a){while(c=f[e++])1===c.nodeType&&d.push(c);return d}return f},d.find.CLASS=c.getElementsByClassName&&function(a,b){return p?b.getElementsByClassName(a):void 0},r=[],q=[],(c.qsa=$.test(g.querySelectorAll))&&(ja(function(a){o.appendChild(a).innerHTML="<a id='"+u+"'></a><select id='"+u+"-\f]' msallowcapture=''><option selected=''></option></select>",a.querySelectorAll("[msallowcapture^='']").length&&q.push("[*^$]="+L+"*(?:''|\"\")"),a.querySelectorAll("[selected]").length||q.push("\\["+L+"*(?:value|"+K+")"),a.querySelectorAll("[id~="+u+"-]").length||q.push("~="),a.querySelectorAll(":checked").length||q.push(":checked"),a.querySelectorAll("a#"+u+"+*").length||q.push(".#.+[+~]")}),ja(function(a){var b=g.createElement("input");b.setAttribute("type","hidden"),a.appendChild(b).setAttribute("name","D"),a.querySelectorAll("[name=d]").length&&q.push("name"+L+"*[*^$|!~]?="),a.querySelectorAll(":enabled").length||q.push(":enabled",":disabled"),a.querySelectorAll("*,:x"),q.push(",.*:")})),(c.matchesSelector=$.test(s=o.matches||o.webkitMatchesSelector||o.mozMatchesSelector||o.oMatchesSelector||o.msMatchesSelector))&&ja(function(a){c.disconnectedMatch=s.call(a,"div"),s.call(a,"[s!='']:x"),r.push("!=",P)}),q=q.length&&new RegExp(q.join("|")),r=r.length&&new RegExp(r.join("|")),b=$.test(o.compareDocumentPosition),t=b||$.test(o.contains)?function(a,b){var c=9===a.nodeType?a.documentElement:a,d=b&&b.parentNode;return a===d||!(!d||1!==d.nodeType||!(c.contains?c.contains(d):a.compareDocumentPosition&&16&a.compareDocumentPosition(d)))}:function(a,b){if(b)while(b=b.parentNode)if(b===a)return!0;return!1},B=b?function(a,b){if(a===b)return l=!0,0;var d=!a.compareDocumentPosition-!b.compareDocumentPosition;return d?d:(d=(a.ownerDocument||a)===(b.ownerDocument||b)?a.compareDocumentPosition(b):1,1&d||!c.sortDetached&&b.compareDocumentPosition(a)===d?a===g||a.ownerDocument===v&&t(v,a)?-1:b===g||b.ownerDocument===v&&t(v,b)?1:k?J(k,a)-J(k,b):0:4&d?-1:1)}:function(a,b){if(a===b)return l=!0,0;var c,d=0,e=a.parentNode,f=b.parentNode,h=[a],i=[b];if(!e||!f)return a===g?-1:b===g?1:e?-1:f?1:k?J(k,a)-J(k,b):0;if(e===f)return la(a,b);c=a;while(c=c.parentNode)h.unshift(c);c=b;while(c=c.parentNode)i.unshift(c);while(h[d]===i[d])d++;return d?la(h[d],i[d]):h[d]===v?-1:i[d]===v?1:0},g):n},ga.matches=function(a,b){return ga(a,null,null,b)},ga.matchesSelector=function(a,b){if((a.ownerDocument||a)!==n&&m(a),b=b.replace(U,"='$1']"),!(!c.matchesSelector||!p||r&&r.test(b)||q&&q.test(b)))try{var d=s.call(a,b);if(d||c.disconnectedMatch||a.document&&11!==a.document.nodeType)return d}catch(e){}return ga(b,n,null,[a]).length>0},ga.contains=function(a,b){return(a.ownerDocument||a)!==n&&m(a),t(a,b)},ga.attr=function(a,b){(a.ownerDocument||a)!==n&&m(a);var e=d.attrHandle[b.toLowerCase()],f=e&&D.call(d.attrHandle,b.toLowerCase())?e(a,b,!p):void 0;return void 0!==f?f:c.attributes||!p?a.getAttribute(b):(f=a.getAttributeNode(b))&&f.specified?f.value:null},ga.error=function(a){throw new Error("Syntax error, unrecognized expression: "+a)},ga.uniqueSort=function(a){var b,d=[],e=0,f=0;if(l=!c.detectDuplicates,k=!c.sortStable&&a.slice(0),a.sort(B),l){while(b=a[f++])b===a[f]&&(e=d.push(f));while(e--)a.splice(d[e],1)}return k=null,a},e=ga.getText=function(a){var b,c="",d=0,f=a.nodeType;if(f){if(1===f||9===f||11===f){if("string"==typeof a.textContent)return a.textContent;for(a=a.firstChild;a;a=a.nextSibling)c+=e(a)}else if(3===f||4===f)return a.nodeValue}else while(b=a[d++])c+=e(b);return c},d=ga.selectors={cacheLength:50,createPseudo:ia,match:X,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(a){return a[1]=a[1].replace(ca,da),a[3]=(a[3]||a[4]||a[5]||"").replace(ca,da),"~="===a[2]&&(a[3]=" "+a[3]+" "),a.slice(0,4)},CHILD:function(a){return a[1]=a[1].toLowerCase(),"nth"===a[1].slice(0,3)?(a[3]||ga.error(a[0]),a[4]=+(a[4]?a[5]+(a[6]||1):2*("even"===a[3]||"odd"===a[3])),a[5]=+(a[7]+a[8]||"odd"===a[3])):a[3]&&ga.error(a[0]),a},PSEUDO:function(a){var b,c=!a[6]&&a[2];return X.CHILD.test(a[0])?null:(a[3]?a[2]=a[4]||a[5]||"":c&&V.test(c)&&(b=g(c,!0))&&(b=c.indexOf(")",c.length-b)-c.length)&&(a[0]=a[0].slice(0,b),a[2]=c.slice(0,b)),a.slice(0,3))}},filter:{TAG:function(a){var b=a.replace(ca,da).toLowerCase();return"*"===a?function(){return!0}:function(a){return a.nodeName&&a.nodeName.toLowerCase()===b}},CLASS:function(a){var b=y[a+" "];return b||(b=new RegExp("(^|"+L+")"+a+"("+L+"|$)"))&&y(a,function(a){return b.test("string"==typeof a.className&&a.className||"undefined"!=typeof a.getAttribute&&a.getAttribute("class")||"")})},ATTR:function(a,b,c){return function(d){var e=ga.attr(d,a);return null==e?"!="===b:b?(e+="","="===b?e===c:"!="===b?e!==c:"^="===b?c&&0===e.indexOf(c):"*="===b?c&&e.indexOf(c)>-1:"$="===b?c&&e.slice(-c.length)===c:"~="===b?(" "+e.replace(Q," ")+" ").indexOf(c)>-1:"|="===b?e===c||e.slice(0,c.length+1)===c+"-":!1):!0}},CHILD:function(a,b,c,d,e){var f="nth"!==a.slice(0,3),g="last"!==a.slice(-4),h="of-type"===b;return 1===d&&0===e?function(a){return!!a.parentNode}:function(b,c,i){var j,k,l,m,n,o,p=f!==g?"nextSibling":"previousSibling",q=b.parentNode,r=h&&b.nodeName.toLowerCase(),s=!i&&!h;if(q){if(f){while(p){l=b;while(l=l[p])if(h?l.nodeName.toLowerCase()===r:1===l.nodeType)return!1;o=p="only"===a&&!o&&"nextSibling"}return!0}if(o=[g?q.firstChild:q.lastChild],g&&s){k=q[u]||(q[u]={}),j=k[a]||[],n=j[0]===w&&j[1],m=j[0]===w&&j[2],l=n&&q.childNodes[n];while(l=++n&&l&&l[p]||(m=n=0)||o.pop())if(1===l.nodeType&&++m&&l===b){k[a]=[w,n,m];break}}else if(s&&(j=(b[u]||(b[u]={}))[a])&&j[0]===w)m=j[1];else while(l=++n&&l&&l[p]||(m=n=0)||o.pop())if((h?l.nodeName.toLowerCase()===r:1===l.nodeType)&&++m&&(s&&((l[u]||(l[u]={}))[a]=[w,m]),l===b))break;return m-=e,m===d||m%d===0&&m/d>=0}}},PSEUDO:function(a,b){var c,e=d.pseudos[a]||d.setFilters[a.toLowerCase()]||ga.error("unsupported pseudo: "+a);return e[u]?e(b):e.length>1?(c=[a,a,"",b],d.setFilters.hasOwnProperty(a.toLowerCase())?ia(function(a,c){var d,f=e(a,b),g=f.length;while(g--)d=J(a,f[g]),a[d]=!(c[d]=f[g])}):function(a){return e(a,0,c)}):e}},pseudos:{not:ia(function(a){var b=[],c=[],d=h(a.replace(R,"$1"));return d[u]?ia(function(a,b,c,e){var f,g=d(a,null,e,[]),h=a.length;while(h--)(f=g[h])&&(a[h]=!(b[h]=f))}):function(a,e,f){return b[0]=a,d(b,null,f,c),b[0]=null,!c.pop()}}),has:ia(function(a){return function(b){return ga(a,b).length>0}}),contains:ia(function(a){return a=a.replace(ca,da),function(b){return(b.textContent||b.innerText||e(b)).indexOf(a)>-1}}),lang:ia(function(a){return W.test(a||"")||ga.error("unsupported lang: "+a),a=a.replace(ca,da).toLowerCase(),function(b){var c;do if(c=p?b.lang:b.getAttribute("xml:lang")||b.getAttribute("lang"))return c=c.toLowerCase(),c===a||0===c.indexOf(a+"-");while((b=b.parentNode)&&1===b.nodeType);return!1}}),target:function(b){var c=a.location&&a.location.hash;return c&&c.slice(1)===b.id},root:function(a){return a===o},focus:function(a){return a===n.activeElement&&(!n.hasFocus||n.hasFocus())&&!!(a.type||a.href||~a.tabIndex)},enabled:function(a){return a.disabled===!1},disabled:function(a){return a.disabled===!0},checked:function(a){var b=a.nodeName.toLowerCase();return"input"===b&&!!a.checked||"option"===b&&!!a.selected},selected:function(a){return a.parentNode&&a.parentNode.selectedIndex,a.selected===!0},empty:function(a){for(a=a.firstChild;a;a=a.nextSibling)if(a.nodeType<6)return!1;return!0},parent:function(a){return!d.pseudos.empty(a)},header:function(a){return Z.test(a.nodeName)},input:function(a){return Y.test(a.nodeName)},button:function(a){var b=a.nodeName.toLowerCase();return"input"===b&&"button"===a.type||"button"===b},text:function(a){var b;return"input"===a.nodeName.toLowerCase()&&"text"===a.type&&(null==(b=a.getAttribute("type"))||"text"===b.toLowerCase())},first:oa(function(){return[0]}),last:oa(function(a,b){return[b-1]}),eq:oa(function(a,b,c){return[0>c?c+b:c]}),even:oa(function(a,b){for(var c=0;b>c;c+=2)a.push(c);return a}),odd:oa(function(a,b){for(var c=1;b>c;c+=2)a.push(c);return a}),lt:oa(function(a,b,c){for(var d=0>c?c+b:c;--d>=0;)a.push(d);return a}),gt:oa(function(a,b,c){for(var d=0>c?c+b:c;++d<b;)a.push(d);return a})}},d.pseudos.nth=d.pseudos.eq;for(b in{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})d.pseudos[b]=ma(b);for(b in{submit:!0,reset:!0})d.pseudos[b]=na(b);function qa(){}qa.prototype=d.filters=d.pseudos,d.setFilters=new qa,g=ga.tokenize=function(a,b){var c,e,f,g,h,i,j,k=z[a+" "];if(k)return b?0:k.slice(0);h=a,i=[],j=d.preFilter;while(h){(!c||(e=S.exec(h)))&&(e&&(h=h.slice(e[0].length)||h),i.push(f=[])),c=!1,(e=T.exec(h))&&(c=e.shift(),f.push({value:c,type:e[0].replace(R," ")}),h=h.slice(c.length));for(g in d.filter)!(e=X[g].exec(h))||j[g]&&!(e=j[g](e))||(c=e.shift(),f.push({value:c,type:g,matches:e}),h=h.slice(c.length));if(!c)break}return b?h.length:h?ga.error(a):z(a,i).slice(0)};function ra(a){for(var b=0,c=a.length,d="";c>b;b++)d+=a[b].value;return d}function sa(a,b,c){var d=b.dir,e=c&&"parentNode"===d,f=x++;return b.first?function(b,c,f){while(b=b[d])if(1===b.nodeType||e)return a(b,c,f)}:function(b,c,g){var h,i,j=[w,f];if(g){while(b=b[d])if((1===b.nodeType||e)&&a(b,c,g))return!0}else while(b=b[d])if(1===b.nodeType||e){if(i=b[u]||(b[u]={}),(h=i[d])&&h[0]===w&&h[1]===f)return j[2]=h[2];if(i[d]=j,j[2]=a(b,c,g))return!0}}}function ta(a){return a.length>1?function(b,c,d){var e=a.length;while(e--)if(!a[e](b,c,d))return!1;return!0}:a[0]}function ua(a,b,c){for(var d=0,e=b.length;e>d;d++)ga(a,b[d],c);return c}function va(a,b,c,d,e){for(var f,g=[],h=0,i=a.length,j=null!=b;i>h;h++)(f=a[h])&&(!c||c(f,d,e))&&(g.push(f),j&&b.push(h));return g}function wa(a,b,c,d,e,f){return d&&!d[u]&&(d=wa(d)),e&&!e[u]&&(e=wa(e,f)),ia(function(f,g,h,i){var j,k,l,m=[],n=[],o=g.length,p=f||ua(b||"*",h.nodeType?[h]:h,[]),q=!a||!f&&b?p:va(p,m,a,h,i),r=c?e||(f?a:o||d)?[]:g:q;if(c&&c(q,r,h,i),d){j=va(r,n),d(j,[],h,i),k=j.length;while(k--)(l=j[k])&&(r[n[k]]=!(q[n[k]]=l))}if(f){if(e||a){if(e){j=[],k=r.length;while(k--)(l=r[k])&&j.push(q[k]=l);e(null,r=[],j,i)}k=r.length;while(k--)(l=r[k])&&(j=e?J(f,l):m[k])>-1&&(f[j]=!(g[j]=l))}}else r=va(r===g?r.splice(o,r.length):r),e?e(null,g,r,i):H.apply(g,r)})}function xa(a){for(var b,c,e,f=a.length,g=d.relative[a[0].type],h=g||d.relative[" "],i=g?1:0,k=sa(function(a){return a===b},h,!0),l=sa(function(a){return J(b,a)>-1},h,!0),m=[function(a,c,d){var e=!g&&(d||c!==j)||((b=c).nodeType?k(a,c,d):l(a,c,d));return b=null,e}];f>i;i++)if(c=d.relative[a[i].type])m=[sa(ta(m),c)];else{if(c=d.filter[a[i].type].apply(null,a[i].matches),c[u]){for(e=++i;f>e;e++)if(d.relative[a[e].type])break;return wa(i>1&&ta(m),i>1&&ra(a.slice(0,i-1).concat({value:" "===a[i-2].type?"*":""})).replace(R,"$1"),c,e>i&&xa(a.slice(i,e)),f>e&&xa(a=a.slice(e)),f>e&&ra(a))}m.push(c)}return ta(m)}function ya(a,b){var c=b.length>0,e=a.length>0,f=function(f,g,h,i,k){var l,m,o,p=0,q="0",r=f&&[],s=[],t=j,u=f||e&&d.find.TAG("*",k),v=w+=null==t?1:Math.random()||.1,x=u.length;for(k&&(j=g!==n&&g);q!==x&&null!=(l=u[q]);q++){if(e&&l){m=0;while(o=a[m++])if(o(l,g,h)){i.push(l);break}k&&(w=v)}c&&((l=!o&&l)&&p--,f&&r.push(l))}if(p+=q,c&&q!==p){m=0;while(o=b[m++])o(r,s,g,h);if(f){if(p>0)while(q--)r[q]||s[q]||(s[q]=F.call(i));s=va(s)}H.apply(i,s),k&&!f&&s.length>0&&p+b.length>1&&ga.uniqueSort(i)}return k&&(w=v,j=t),r};return c?ia(f):f}return h=ga.compile=function(a,b){var c,d=[],e=[],f=A[a+" "];if(!f){b||(b=g(a)),c=b.length;while(c--)f=xa(b[c]),f[u]?d.push(f):e.push(f);f=A(a,ya(e,d)),f.selector=a}return f},i=ga.select=function(a,b,e,f){var i,j,k,l,m,n="function"==typeof a&&a,o=!f&&g(a=n.selector||a);if(e=e||[],1===o.length){if(j=o[0]=o[0].slice(0),j.length>2&&"ID"===(k=j[0]).type&&c.getById&&9===b.nodeType&&p&&d.relative[j[1].type]){if(b=(d.find.ID(k.matches[0].replace(ca,da),b)||[])[0],!b)return e;n&&(b=b.parentNode),a=a.slice(j.shift().value.length)}i=X.needsContext.test(a)?0:j.length;while(i--){if(k=j[i],d.relative[l=k.type])break;if((m=d.find[l])&&(f=m(k.matches[0].replace(ca,da),aa.test(j[0].type)&&pa(b.parentNode)||b))){if(j.splice(i,1),a=f.length&&ra(j),!a)return H.apply(e,f),e;break}}}return(n||h(a,o))(f,b,!p,e,aa.test(a)&&pa(b.parentNode)||b),e},c.sortStable=u.split("").sort(B).join("")===u,c.detectDuplicates=!!l,m(),c.sortDetached=ja(function(a){return 1&a.compareDocumentPosition(n.createElement("div"))}),ja(function(a){return a.innerHTML="<a href='#'></a>","#"===a.firstChild.getAttribute("href")})||ka("type|href|height|width",function(a,b,c){return c?void 0:a.getAttribute(b,"type"===b.toLowerCase()?1:2)}),c.attributes&&ja(function(a){return a.innerHTML="<input/>",a.firstChild.setAttribute("value",""),""===a.firstChild.getAttribute("value")})||ka("value",function(a,b,c){return c||"input"!==a.nodeName.toLowerCase()?void 0:a.defaultValue}),ja(function(a){return null==a.getAttribute("disabled")})||ka(K,function(a,b,c){var d;return c?void 0:a[b]===!0?b.toLowerCase():(d=a.getAttributeNode(b))&&d.specified?d.value:null}),ga}(a);m.find=s,m.expr=s.selectors,m.expr[":"]=m.expr.pseudos,m.unique=s.uniqueSort,m.text=s.getText,m.isXMLDoc=s.isXML,m.contains=s.contains;var t=m.expr.match.needsContext,u=/^<(\w+)\s*\/?>(?:<\/\1>|)$/,v=/^.[^:#\[\.,]*$/;function w(a,b,c){if(m.isFunction(b))return m.grep(a,function(a,d){return!!b.call(a,d,a)!==c});if(b.nodeType)return m.grep(a,function(a){return a===b!==c});if("string"==typeof b){if(v.test(b))return m.filter(b,a,c);b=m.filter(b,a)}return m.grep(a,function(a){return m.inArray(a,b)>=0!==c})}m.filter=function(a,b,c){var d=b[0];return c&&(a=":not("+a+")"),1===b.length&&1===d.nodeType?m.find.matchesSelector(d,a)?[d]:[]:m.find.matches(a,m.grep(b,function(a){return 1===a.nodeType}))},m.fn.extend({find:function(a){var b,c=[],d=this,e=d.length;if("string"!=typeof a)return this.pushStack(m(a).filter(function(){for(b=0;e>b;b++)if(m.contains(d[b],this))return!0}));for(b=0;e>b;b++)m.find(a,d[b],c);return c=this.pushStack(e>1?m.unique(c):c),c.selector=this.selector?this.selector+" "+a:a,c},filter:function(a){return this.pushStack(w(this,a||[],!1))},not:function(a){return this.pushStack(w(this,a||[],!0))},is:function(a){return!!w(this,"string"==typeof a&&t.test(a)?m(a):a||[],!1).length}});var x,y=a.document,z=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]*))$/,A=m.fn.init=function(a,b){var c,d;if(!a)return this;if("string"==typeof a){if(c="<"===a.charAt(0)&&">"===a.charAt(a.length-1)&&a.length>=3?[null,a,null]:z.exec(a),!c||!c[1]&&b)return!b||b.jquery?(b||x).find(a):this.constructor(b).find(a);if(c[1]){if(b=b instanceof m?b[0]:b,m.merge(this,m.parseHTML(c[1],b&&b.nodeType?b.ownerDocument||b:y,!0)),u.test(c[1])&&m.isPlainObject(b))for(c in b)m.isFunction(this[c])?this[c](b[c]):this.attr(c,b[c]);return this}if(d=y.getElementById(c[2]),d&&d.parentNode){if(d.id!==c[2])return x.find(a);this.length=1,this[0]=d}return this.context=y,this.selector=a,this}return a.nodeType?(this.context=this[0]=a,this.length=1,this):m.isFunction(a)?"undefined"!=typeof x.ready?x.ready(a):a(m):(void 0!==a.selector&&(this.selector=a.selector,this.context=a.context),m.makeArray(a,this))};A.prototype=m.fn,x=m(y);var B=/^(?:parents|prev(?:Until|All))/,C={children:!0,contents:!0,next:!0,prev:!0};m.extend({dir:function(a,b,c){var d=[],e=a[b];while(e&&9!==e.nodeType&&(void 0===c||1!==e.nodeType||!m(e).is(c)))1===e.nodeType&&d.push(e),e=e[b];return d},sibling:function(a,b){for(var c=[];a;a=a.nextSibling)1===a.nodeType&&a!==b&&c.push(a);return c}}),m.fn.extend({has:function(a){var b,c=m(a,this),d=c.length;return this.filter(function(){for(b=0;d>b;b++)if(m.contains(this,c[b]))return!0})},closest:function(a,b){for(var c,d=0,e=this.length,f=[],g=t.test(a)||"string"!=typeof a?m(a,b||this.context):0;e>d;d++)for(c=this[d];c&&c!==b;c=c.parentNode)if(c.nodeType<11&&(g?g.index(c)>-1:1===c.nodeType&&m.find.matchesSelector(c,a))){f.push(c);break}return this.pushStack(f.length>1?m.unique(f):f)},index:function(a){return a?"string"==typeof a?m.inArray(this[0],m(a)):m.inArray(a.jquery?a[0]:a,this):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(a,b){return this.pushStack(m.unique(m.merge(this.get(),m(a,b))))},addBack:function(a){return this.add(null==a?this.prevObject:this.prevObject.filter(a))}});function D(a,b){do a=a[b];while(a&&1!==a.nodeType);return a}m.each({parent:function(a){var b=a.parentNode;return b&&11!==b.nodeType?b:null},parents:function(a){return m.dir(a,"parentNode")},parentsUntil:function(a,b,c){return m.dir(a,"parentNode",c)},next:function(a){return D(a,"nextSibling")},prev:function(a){return D(a,"previousSibling")},nextAll:function(a){return m.dir(a,"nextSibling")},prevAll:function(a){return m.dir(a,"previousSibling")},nextUntil:function(a,b,c){return m.dir(a,"nextSibling",c)},prevUntil:function(a,b,c){return m.dir(a,"previousSibling",c)},siblings:function(a){return m.sibling((a.parentNode||{}).firstChild,a)},children:function(a){return m.sibling(a.firstChild)},contents:function(a){return m.nodeName(a,"iframe")?a.contentDocument||a.contentWindow.document:m.merge([],a.childNodes)}},function(a,b){m.fn[a]=function(c,d){var e=m.map(this,b,c);return"Until"!==a.slice(-5)&&(d=c),d&&"string"==typeof d&&(e=m.filter(d,e)),this.length>1&&(C[a]||(e=m.unique(e)),B.test(a)&&(e=e.reverse())),this.pushStack(e)}});var E=/\S+/g,F={};function G(a){var b=F[a]={};return m.each(a.match(E)||[],function(a,c){b[c]=!0}),b}m.Callbacks=function(a){a="string"==typeof a?F[a]||G(a):m.extend({},a);var b,c,d,e,f,g,h=[],i=!a.once&&[],j=function(l){for(c=a.memory&&l,d=!0,f=g||0,g=0,e=h.length,b=!0;h&&e>f;f++)if(h[f].apply(l[0],l[1])===!1&&a.stopOnFalse){c=!1;break}b=!1,h&&(i?i.length&&j(i.shift()):c?h=[]:k.disable())},k={add:function(){if(h){var d=h.length;!function f(b){m.each(b,function(b,c){var d=m.type(c);"function"===d?a.unique&&k.has(c)||h.push(c):c&&c.length&&"string"!==d&&f(c)})}(arguments),b?e=h.length:c&&(g=d,j(c))}return this},remove:function(){return h&&m.each(arguments,function(a,c){var d;while((d=m.inArray(c,h,d))>-1)h.splice(d,1),b&&(e>=d&&e--,f>=d&&f--)}),this},has:function(a){return a?m.inArray(a,h)>-1:!(!h||!h.length)},empty:function(){return h=[],e=0,this},disable:function(){return h=i=c=void 0,this},disabled:function(){return!h},lock:function(){return i=void 0,c||k.disable(),this},locked:function(){return!i},fireWith:function(a,c){return!h||d&&!i||(c=c||[],c=[a,c.slice?c.slice():c],b?i.push(c):j(c)),this},fire:function(){return k.fireWith(this,arguments),this},fired:function(){return!!d}};return k},m.extend({Deferred:function(a){var b=[["resolve","done",m.Callbacks("once memory"),"resolved"],["reject","fail",m.Callbacks("once memory"),"rejected"],["notify","progress",m.Callbacks("memory")]],c="pending",d={state:function(){return c},always:function(){return e.done(arguments).fail(arguments),this},then:function(){var a=arguments;return m.Deferred(function(c){m.each(b,function(b,f){var g=m.isFunction(a[b])&&a[b];e[f[1]](function(){var a=g&&g.apply(this,arguments);a&&m.isFunction(a.promise)?a.promise().done(c.resolve).fail(c.reject).progress(c.notify):c[f[0]+"With"](this===d?c.promise():this,g?[a]:arguments)})}),a=null}).promise()},promise:function(a){return null!=a?m.extend(a,d):d}},e={};return d.pipe=d.then,m.each(b,function(a,f){var g=f[2],h=f[3];d[f[1]]=g.add,h&&g.add(function(){c=h},b[1^a][2].disable,b[2][2].lock),e[f[0]]=function(){return e[f[0]+"With"](this===e?d:this,arguments),this},e[f[0]+"With"]=g.fireWith}),d.promise(e),a&&a.call(e,e),e},when:function(a){var b=0,c=d.call(arguments),e=c.length,f=1!==e||a&&m.isFunction(a.promise)?e:0,g=1===f?a:m.Deferred(),h=function(a,b,c){return function(e){b[a]=this,c[a]=arguments.length>1?d.call(arguments):e,c===i?g.notifyWith(b,c):--f||g.resolveWith(b,c)}},i,j,k;if(e>1)for(i=new Array(e),j=new Array(e),k=new Array(e);e>b;b++)c[b]&&m.isFunction(c[b].promise)?c[b].promise().done(h(b,k,c)).fail(g.reject).progress(h(b,j,i)):--f;return f||g.resolveWith(k,c),g.promise()}});var H;m.fn.ready=function(a){return m.ready.promise().done(a),this},m.extend({isReady:!1,readyWait:1,holdReady:function(a){a?m.readyWait++:m.ready(!0)},ready:function(a){if(a===!0?!--m.readyWait:!m.isReady){if(!y.body)return setTimeout(m.ready);m.isReady=!0,a!==!0&&--m.readyWait>0||(H.resolveWith(y,[m]),m.fn.triggerHandler&&(m(y).triggerHandler("ready"),m(y).off("ready")))}}});function I(){y.addEventListener?(y.removeEventListener("DOMContentLoaded",J,!1),a.removeEventListener("load",J,!1)):(y.detachEvent("onreadystatechange",J),a.detachEvent("onload",J))}function J(){(y.addEventListener||"load"===event.type||"complete"===y.readyState)&&(I(),m.ready())}m.ready.promise=function(b){if(!H)if(H=m.Deferred(),"complete"===y.readyState)setTimeout(m.ready);else if(y.addEventListener)y.addEventListener("DOMContentLoaded",J,!1),a.addEventListener("load",J,!1);else{y.attachEvent("onreadystatechange",J),a.attachEvent("onload",J);var c=!1;try{c=null==a.frameElement&&y.documentElement}catch(d){}c&&c.doScroll&&!function e(){if(!m.isReady){try{c.doScroll("left")}catch(a){return setTimeout(e,50)}I(),m.ready()}}()}return H.promise(b)};var K="undefined",L;for(L in m(k))break;k.ownLast="0"!==L,k.inlineBlockNeedsLayout=!1,m(function(){var a,b,c,d;c=y.getElementsByTagName("body")[0],c&&c.style&&(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),typeof b.style.zoom!==K&&(b.style.cssText="display:inline;margin:0;border:0;padding:1px;width:1px;zoom:1",k.inlineBlockNeedsLayout=a=3===b.offsetWidth,a&&(c.style.zoom=1)),c.removeChild(d))}),function(){var a=y.createElement("div");if(null==k.deleteExpando){k.deleteExpando=!0;try{delete a.test}catch(b){k.deleteExpando=!1}}a=null}(),m.acceptData=function(a){var b=m.noData[(a.nodeName+" ").toLowerCase()],c=+a.nodeType||1;return 1!==c&&9!==c?!1:!b||b!==!0&&a.getAttribute("classid")===b};var M=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,N=/([A-Z])/g;function O(a,b,c){if(void 0===c&&1===a.nodeType){var d="data-"+b.replace(N,"-$1").toLowerCase();if(c=a.getAttribute(d),"string"==typeof c){try{c="true"===c?!0:"false"===c?!1:"null"===c?null:+c+""===c?+c:M.test(c)?m.parseJSON(c):c}catch(e){}m.data(a,b,c)}else c=void 0}return c}function P(a){var b;for(b in a)if(("data"!==b||!m.isEmptyObject(a[b]))&&"toJSON"!==b)return!1;
-
-return!0}function Q(a,b,d,e){if(m.acceptData(a)){var f,g,h=m.expando,i=a.nodeType,j=i?m.cache:a,k=i?a[h]:a[h]&&h;if(k&&j[k]&&(e||j[k].data)||void 0!==d||"string"!=typeof b)return k||(k=i?a[h]=c.pop()||m.guid++:h),j[k]||(j[k]=i?{}:{toJSON:m.noop}),("object"==typeof b||"function"==typeof b)&&(e?j[k]=m.extend(j[k],b):j[k].data=m.extend(j[k].data,b)),g=j[k],e||(g.data||(g.data={}),g=g.data),void 0!==d&&(g[m.camelCase(b)]=d),"string"==typeof b?(f=g[b],null==f&&(f=g[m.camelCase(b)])):f=g,f}}function R(a,b,c){if(m.acceptData(a)){var d,e,f=a.nodeType,g=f?m.cache:a,h=f?a[m.expando]:m.expando;if(g[h]){if(b&&(d=c?g[h]:g[h].data)){m.isArray(b)?b=b.concat(m.map(b,m.camelCase)):b in d?b=[b]:(b=m.camelCase(b),b=b in d?[b]:b.split(" ")),e=b.length;while(e--)delete d[b[e]];if(c?!P(d):!m.isEmptyObject(d))return}(c||(delete g[h].data,P(g[h])))&&(f?m.cleanData([a],!0):k.deleteExpando||g!=g.window?delete g[h]:g[h]=null)}}}m.extend({cache:{},noData:{"applet ":!0,"embed ":!0,"object ":"clsid:D27CDB6E-AE6D-11cf-96B8-444553540000"},hasData:function(a){return a=a.nodeType?m.cache[a[m.expando]]:a[m.expando],!!a&&!P(a)},data:function(a,b,c){return Q(a,b,c)},removeData:function(a,b){return R(a,b)},_data:function(a,b,c){return Q(a,b,c,!0)},_removeData:function(a,b){return R(a,b,!0)}}),m.fn.extend({data:function(a,b){var c,d,e,f=this[0],g=f&&f.attributes;if(void 0===a){if(this.length&&(e=m.data(f),1===f.nodeType&&!m._data(f,"parsedAttrs"))){c=g.length;while(c--)g[c]&&(d=g[c].name,0===d.indexOf("data-")&&(d=m.camelCase(d.slice(5)),O(f,d,e[d])));m._data(f,"parsedAttrs",!0)}return e}return"object"==typeof a?this.each(function(){m.data(this,a)}):arguments.length>1?this.each(function(){m.data(this,a,b)}):f?O(f,a,m.data(f,a)):void 0},removeData:function(a){return this.each(function(){m.removeData(this,a)})}}),m.extend({queue:function(a,b,c){var d;return a?(b=(b||"fx")+"queue",d=m._data(a,b),c&&(!d||m.isArray(c)?d=m._data(a,b,m.makeArray(c)):d.push(c)),d||[]):void 0},dequeue:function(a,b){b=b||"fx";var c=m.queue(a,b),d=c.length,e=c.shift(),f=m._queueHooks(a,b),g=function(){m.dequeue(a,b)};"inprogress"===e&&(e=c.shift(),d--),e&&("fx"===b&&c.unshift("inprogress"),delete f.stop,e.call(a,g,f)),!d&&f&&f.empty.fire()},_queueHooks:function(a,b){var c=b+"queueHooks";return m._data(a,c)||m._data(a,c,{empty:m.Callbacks("once memory").add(function(){m._removeData(a,b+"queue"),m._removeData(a,c)})})}}),m.fn.extend({queue:function(a,b){var c=2;return"string"!=typeof a&&(b=a,a="fx",c--),arguments.length<c?m.queue(this[0],a):void 0===b?this:this.each(function(){var c=m.queue(this,a,b);m._queueHooks(this,a),"fx"===a&&"inprogress"!==c[0]&&m.dequeue(this,a)})},dequeue:function(a){return this.each(function(){m.dequeue(this,a)})},clearQueue:function(a){return this.queue(a||"fx",[])},promise:function(a,b){var c,d=1,e=m.Deferred(),f=this,g=this.length,h=function(){--d||e.resolveWith(f,[f])};"string"!=typeof a&&(b=a,a=void 0),a=a||"fx";while(g--)c=m._data(f[g],a+"queueHooks"),c&&c.empty&&(d++,c.empty.add(h));return h(),e.promise(b)}});var S=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,T=["Top","Right","Bottom","Left"],U=function(a,b){return a=b||a,"none"===m.css(a,"display")||!m.contains(a.ownerDocument,a)},V=m.access=function(a,b,c,d,e,f,g){var h=0,i=a.length,j=null==c;if("object"===m.type(c)){e=!0;for(h in c)m.access(a,b,h,c[h],!0,f,g)}else if(void 0!==d&&(e=!0,m.isFunction(d)||(g=!0),j&&(g?(b.call(a,d),b=null):(j=b,b=function(a,b,c){return j.call(m(a),c)})),b))for(;i>h;h++)b(a[h],c,g?d:d.call(a[h],h,b(a[h],c)));return e?a:j?b.call(a):i?b(a[0],c):f},W=/^(?:checkbox|radio)$/i;!function(){var a=y.createElement("input"),b=y.createElement("div"),c=y.createDocumentFragment();if(b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",k.leadingWhitespace=3===b.firstChild.nodeType,k.tbody=!b.getElementsByTagName("tbody").length,k.htmlSerialize=!!b.getElementsByTagName("link").length,k.html5Clone="<:nav></:nav>"!==y.createElement("nav").cloneNode(!0).outerHTML,a.type="checkbox",a.checked=!0,c.appendChild(a),k.appendChecked=a.checked,b.innerHTML="<textarea>x</textarea>",k.noCloneChecked=!!b.cloneNode(!0).lastChild.defaultValue,c.appendChild(b),b.innerHTML="<input type='radio' checked='checked' name='t'/>",k.checkClone=b.cloneNode(!0).cloneNode(!0).lastChild.checked,k.noCloneEvent=!0,b.attachEvent&&(b.attachEvent("onclick",function(){k.noCloneEvent=!1}),b.cloneNode(!0).click()),null==k.deleteExpando){k.deleteExpando=!0;try{delete b.test}catch(d){k.deleteExpando=!1}}}(),function(){var b,c,d=y.createElement("div");for(b in{submit:!0,change:!0,focusin:!0})c="on"+b,(k[b+"Bubbles"]=c in a)||(d.setAttribute(c,"t"),k[b+"Bubbles"]=d.attributes[c].expando===!1);d=null}();var X=/^(?:input|select|textarea)$/i,Y=/^key/,Z=/^(?:mouse|pointer|contextmenu)|click/,$=/^(?:focusinfocus|focusoutblur)$/,_=/^([^.]*)(?:\.(.+)|)$/;function aa(){return!0}function ba(){return!1}function ca(){try{return y.activeElement}catch(a){}}m.event={global:{},add:function(a,b,c,d,e){var f,g,h,i,j,k,l,n,o,p,q,r=m._data(a);if(r){c.handler&&(i=c,c=i.handler,e=i.selector),c.guid||(c.guid=m.guid++),(g=r.events)||(g=r.events={}),(k=r.handle)||(k=r.handle=function(a){return typeof m===K||a&&m.event.triggered===a.type?void 0:m.event.dispatch.apply(k.elem,arguments)},k.elem=a),b=(b||"").match(E)||[""],h=b.length;while(h--)f=_.exec(b[h])||[],o=q=f[1],p=(f[2]||"").split(".").sort(),o&&(j=m.event.special[o]||{},o=(e?j.delegateType:j.bindType)||o,j=m.event.special[o]||{},l=m.extend({type:o,origType:q,data:d,handler:c,guid:c.guid,selector:e,needsContext:e&&m.expr.match.needsContext.test(e),namespace:p.join(".")},i),(n=g[o])||(n=g[o]=[],n.delegateCount=0,j.setup&&j.setup.call(a,d,p,k)!==!1||(a.addEventListener?a.addEventListener(o,k,!1):a.attachEvent&&a.attachEvent("on"+o,k))),j.add&&(j.add.call(a,l),l.handler.guid||(l.handler.guid=c.guid)),e?n.splice(n.delegateCount++,0,l):n.push(l),m.event.global[o]=!0);a=null}},remove:function(a,b,c,d,e){var f,g,h,i,j,k,l,n,o,p,q,r=m.hasData(a)&&m._data(a);if(r&&(k=r.events)){b=(b||"").match(E)||[""],j=b.length;while(j--)if(h=_.exec(b[j])||[],o=q=h[1],p=(h[2]||"").split(".").sort(),o){l=m.event.special[o]||{},o=(d?l.delegateType:l.bindType)||o,n=k[o]||[],h=h[2]&&new RegExp("(^|\\.)"+p.join("\\.(?:.*\\.|)")+"(\\.|$)"),i=f=n.length;while(f--)g=n[f],!e&&q!==g.origType||c&&c.guid!==g.guid||h&&!h.test(g.namespace)||d&&d!==g.selector&&("**"!==d||!g.selector)||(n.splice(f,1),g.selector&&n.delegateCount--,l.remove&&l.remove.call(a,g));i&&!n.length&&(l.teardown&&l.teardown.call(a,p,r.handle)!==!1||m.removeEvent(a,o,r.handle),delete k[o])}else for(o in k)m.event.remove(a,o+b[j],c,d,!0);m.isEmptyObject(k)&&(delete r.handle,m._removeData(a,"events"))}},trigger:function(b,c,d,e){var f,g,h,i,k,l,n,o=[d||y],p=j.call(b,"type")?b.type:b,q=j.call(b,"namespace")?b.namespace.split("."):[];if(h=l=d=d||y,3!==d.nodeType&&8!==d.nodeType&&!$.test(p+m.event.triggered)&&(p.indexOf(".")>=0&&(q=p.split("."),p=q.shift(),q.sort()),g=p.indexOf(":")<0&&"on"+p,b=b[m.expando]?b:new m.Event(p,"object"==typeof b&&b),b.isTrigger=e?2:3,b.namespace=q.join("."),b.namespace_re=b.namespace?new RegExp("(^|\\.)"+q.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,b.result=void 0,b.target||(b.target=d),c=null==c?[b]:m.makeArray(c,[b]),k=m.event.special[p]||{},e||!k.trigger||k.trigger.apply(d,c)!==!1)){if(!e&&!k.noBubble&&!m.isWindow(d)){for(i=k.delegateType||p,$.test(i+p)||(h=h.parentNode);h;h=h.parentNode)o.push(h),l=h;l===(d.ownerDocument||y)&&o.push(l.defaultView||l.parentWindow||a)}n=0;while((h=o[n++])&&!b.isPropagationStopped())b.type=n>1?i:k.bindType||p,f=(m._data(h,"events")||{})[b.type]&&m._data(h,"handle"),f&&f.apply(h,c),f=g&&h[g],f&&f.apply&&m.acceptData(h)&&(b.result=f.apply(h,c),b.result===!1&&b.preventDefault());if(b.type=p,!e&&!b.isDefaultPrevented()&&(!k._default||k._default.apply(o.pop(),c)===!1)&&m.acceptData(d)&&g&&d[p]&&!m.isWindow(d)){l=d[g],l&&(d[g]=null),m.event.triggered=p;try{d[p]()}catch(r){}m.event.triggered=void 0,l&&(d[g]=l)}return b.result}},dispatch:function(a){a=m.event.fix(a);var b,c,e,f,g,h=[],i=d.call(arguments),j=(m._data(this,"events")||{})[a.type]||[],k=m.event.special[a.type]||{};if(i[0]=a,a.delegateTarget=this,!k.preDispatch||k.preDispatch.call(this,a)!==!1){h=m.event.handlers.call(this,a,j),b=0;while((f=h[b++])&&!a.isPropagationStopped()){a.currentTarget=f.elem,g=0;while((e=f.handlers[g++])&&!a.isImmediatePropagationStopped())(!a.namespace_re||a.namespace_re.test(e.namespace))&&(a.handleObj=e,a.data=e.data,c=((m.event.special[e.origType]||{}).handle||e.handler).apply(f.elem,i),void 0!==c&&(a.result=c)===!1&&(a.preventDefault(),a.stopPropagation()))}return k.postDispatch&&k.postDispatch.call(this,a),a.result}},handlers:function(a,b){var c,d,e,f,g=[],h=b.delegateCount,i=a.target;if(h&&i.nodeType&&(!a.button||"click"!==a.type))for(;i!=this;i=i.parentNode||this)if(1===i.nodeType&&(i.disabled!==!0||"click"!==a.type)){for(e=[],f=0;h>f;f++)d=b[f],c=d.selector+" ",void 0===e[c]&&(e[c]=d.needsContext?m(c,this).index(i)>=0:m.find(c,this,null,[i]).length),e[c]&&e.push(d);e.length&&g.push({elem:i,handlers:e})}return h<b.length&&g.push({elem:this,handlers:b.slice(h)}),g},fix:function(a){if(a[m.expando])return a;var b,c,d,e=a.type,f=a,g=this.fixHooks[e];g||(this.fixHooks[e]=g=Z.test(e)?this.mouseHooks:Y.test(e)?this.keyHooks:{}),d=g.props?this.props.concat(g.props):this.props,a=new m.Event(f),b=d.length;while(b--)c=d[b],a[c]=f[c];return a.target||(a.target=f.srcElement||y),3===a.target.nodeType&&(a.target=a.target.parentNode),a.metaKey=!!a.metaKey,g.filter?g.filter(a,f):a},props:"altKey bubbles cancelable ctrlKey currentTarget eventPhase metaKey relatedTarget shiftKey target timeStamp view which".split(" "),fixHooks:{},keyHooks:{props:"char charCode key keyCode".split(" "),filter:function(a,b){return null==a.which&&(a.which=null!=b.charCode?b.charCode:b.keyCode),a}},mouseHooks:{props:"button buttons clientX clientY fromElement offsetX offsetY pageX pageY screenX screenY toElement".split(" "),filter:function(a,b){var c,d,e,f=b.button,g=b.fromElement;return null==a.pageX&&null!=b.clientX&&(d=a.target.ownerDocument||y,e=d.documentElement,c=d.body,a.pageX=b.clientX+(e&&e.scrollLeft||c&&c.scrollLeft||0)-(e&&e.clientLeft||c&&c.clientLeft||0),a.pageY=b.clientY+(e&&e.scrollTop||c&&c.scrollTop||0)-(e&&e.clientTop||c&&c.clientTop||0)),!a.relatedTarget&&g&&(a.relatedTarget=g===a.target?b.toElement:g),a.which||void 0===f||(a.which=1&f?1:2&f?3:4&f?2:0),a}},special:{load:{noBubble:!0},focus:{trigger:function(){if(this!==ca()&&this.focus)try{return this.focus(),!1}catch(a){}},delegateType:"focusin"},blur:{trigger:function(){return this===ca()&&this.blur?(this.blur(),!1):void 0},delegateType:"focusout"},click:{trigger:function(){return m.nodeName(this,"input")&&"checkbox"===this.type&&this.click?(this.click(),!1):void 0},_default:function(a){return m.nodeName(a.target,"a")}},beforeunload:{postDispatch:function(a){void 0!==a.result&&a.originalEvent&&(a.originalEvent.returnValue=a.result)}}},simulate:function(a,b,c,d){var e=m.extend(new m.Event,c,{type:a,isSimulated:!0,originalEvent:{}});d?m.event.trigger(e,null,b):m.event.dispatch.call(b,e),e.isDefaultPrevented()&&c.preventDefault()}},m.removeEvent=y.removeEventListener?function(a,b,c){a.removeEventListener&&a.removeEventListener(b,c,!1)}:function(a,b,c){var d="on"+b;a.detachEvent&&(typeof a[d]===K&&(a[d]=null),a.detachEvent(d,c))},m.Event=function(a,b){return this instanceof m.Event?(a&&a.type?(this.originalEvent=a,this.type=a.type,this.isDefaultPrevented=a.defaultPrevented||void 0===a.defaultPrevented&&a.returnValue===!1?aa:ba):this.type=a,b&&m.extend(this,b),this.timeStamp=a&&a.timeStamp||m.now(),void(this[m.expando]=!0)):new m.Event(a,b)},m.Event.prototype={isDefaultPrevented:ba,isPropagationStopped:ba,isImmediatePropagationStopped:ba,preventDefault:function(){var a=this.originalEvent;this.isDefaultPrevented=aa,a&&(a.preventDefault?a.preventDefault():a.returnValue=!1)},stopPropagation:function(){var a=this.originalEvent;this.isPropagationStopped=aa,a&&(a.stopPropagation&&a.stopPropagation(),a.cancelBubble=!0)},stopImmediatePropagation:function(){var a=this.originalEvent;this.isImmediatePropagationStopped=aa,a&&a.stopImmediatePropagation&&a.stopImmediatePropagation(),this.stopPropagation()}},m.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(a,b){m.event.special[a]={delegateType:b,bindType:b,handle:function(a){var c,d=this,e=a.relatedTarget,f=a.handleObj;return(!e||e!==d&&!m.contains(d,e))&&(a.type=f.origType,c=f.handler.apply(this,arguments),a.type=b),c}}}),k.submitBubbles||(m.event.special.submit={setup:function(){return m.nodeName(this,"form")?!1:void m.event.add(this,"click._submit keypress._submit",function(a){var b=a.target,c=m.nodeName(b,"input")||m.nodeName(b,"button")?b.form:void 0;c&&!m._data(c,"submitBubbles")&&(m.event.add(c,"submit._submit",function(a){a._submit_bubble=!0}),m._data(c,"submitBubbles",!0))})},postDispatch:function(a){a._submit_bubble&&(delete a._submit_bubble,this.parentNode&&!a.isTrigger&&m.event.simulate("submit",this.parentNode,a,!0))},teardown:function(){return m.nodeName(this,"form")?!1:void m.event.remove(this,"._submit")}}),k.changeBubbles||(m.event.special.change={setup:function(){return X.test(this.nodeName)?(("checkbox"===this.type||"radio"===this.type)&&(m.event.add(this,"propertychange._change",function(a){"checked"===a.originalEvent.propertyName&&(this._just_changed=!0)}),m.event.add(this,"click._change",function(a){this._just_changed&&!a.isTrigger&&(this._just_changed=!1),m.event.simulate("change",this,a,!0)})),!1):void m.event.add(this,"beforeactivate._change",function(a){var b=a.target;X.test(b.nodeName)&&!m._data(b,"changeBubbles")&&(m.event.add(b,"change._change",function(a){!this.parentNode||a.isSimulated||a.isTrigger||m.event.simulate("change",this.parentNode,a,!0)}),m._data(b,"changeBubbles",!0))})},handle:function(a){var b=a.target;return this!==b||a.isSimulated||a.isTrigger||"radio"!==b.type&&"checkbox"!==b.type?a.handleObj.handler.apply(this,arguments):void 0},teardown:function(){return m.event.remove(this,"._change"),!X.test(this.nodeName)}}),k.focusinBubbles||m.each({focus:"focusin",blur:"focusout"},function(a,b){var c=function(a){m.event.simulate(b,a.target,m.event.fix(a),!0)};m.event.special[b]={setup:function(){var d=this.ownerDocument||this,e=m._data(d,b);e||d.addEventListener(a,c,!0),m._data(d,b,(e||0)+1)},teardown:function(){var d=this.ownerDocument||this,e=m._data(d,b)-1;e?m._data(d,b,e):(d.removeEventListener(a,c,!0),m._removeData(d,b))}}}),m.fn.extend({on:function(a,b,c,d,e){var f,g;if("object"==typeof a){"string"!=typeof b&&(c=c||b,b=void 0);for(f in a)this.on(f,b,c,a[f],e);return this}if(null==c&&null==d?(d=b,c=b=void 0):null==d&&("string"==typeof b?(d=c,c=void 0):(d=c,c=b,b=void 0)),d===!1)d=ba;else if(!d)return this;return 1===e&&(g=d,d=function(a){return m().off(a),g.apply(this,arguments)},d.guid=g.guid||(g.guid=m.guid++)),this.each(function(){m.event.add(this,a,d,c,b)})},one:function(a,b,c,d){return this.on(a,b,c,d,1)},off:function(a,b,c){var d,e;if(a&&a.preventDefault&&a.handleObj)return d=a.handleObj,m(a.delegateTarget).off(d.namespace?d.origType+"."+d.namespace:d.origType,d.selector,d.handler),this;if("object"==typeof a){for(e in a)this.off(e,b,a[e]);return this}return(b===!1||"function"==typeof b)&&(c=b,b=void 0),c===!1&&(c=ba),this.each(function(){m.event.remove(this,a,c,b)})},trigger:function(a,b){return this.each(function(){m.event.trigger(a,b,this)})},triggerHandler:function(a,b){var c=this[0];return c?m.event.trigger(a,b,c,!0):void 0}});function da(a){var b=ea.split("|"),c=a.createDocumentFragment();if(c.createElement)while(b.length)c.createElement(b.pop());return c}var ea="abbr|article|aside|audio|bdi|canvas|data|datalist|details|figcaption|figure|footer|header|hgroup|mark|meter|nav|output|progress|section|summary|time|video",fa=/ jQuery\d+="(?:null|\d+)"/g,ga=new RegExp("<(?:"+ea+")[\\s/>]","i"),ha=/^\s+/,ia=/<(?!area|br|col|embed|hr|img|input|link|meta|param)(([\w:]+)[^>]*)\/>/gi,ja=/<([\w:]+)/,ka=/<tbody/i,la=/<|&#?\w+;/,ma=/<(?:script|style|link)/i,na=/checked\s*(?:[^=]|=\s*.checked.)/i,oa=/^$|\/(?:java|ecma)script/i,pa=/^true\/(.*)/,qa=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g,ra={option:[1,"<select multiple='multiple'>","</select>"],legend:[1,"<fieldset>","</fieldset>"],area:[1,"<map>","</map>"],param:[1,"<object>","</object>"],thead:[1,"<table>","</table>"],tr:[2,"<table><tbody>","</tbody></table>"],col:[2,"<table><tbody></tbody><colgroup>","</colgroup></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:k.htmlSerialize?[0,"",""]:[1,"X<div>","</div>"]},sa=da(y),ta=sa.appendChild(y.createElement("div"));ra.optgroup=ra.option,ra.tbody=ra.tfoot=ra.colgroup=ra.caption=ra.thead,ra.th=ra.td;function ua(a,b){var c,d,e=0,f=typeof a.getElementsByTagName!==K?a.getElementsByTagName(b||"*"):typeof a.querySelectorAll!==K?a.querySelectorAll(b||"*"):void 0;if(!f)for(f=[],c=a.childNodes||a;null!=(d=c[e]);e++)!b||m.nodeName(d,b)?f.push(d):m.merge(f,ua(d,b));return void 0===b||b&&m.nodeName(a,b)?m.merge([a],f):f}function va(a){W.test(a.type)&&(a.defaultChecked=a.checked)}function wa(a,b){return m.nodeName(a,"table")&&m.nodeName(11!==b.nodeType?b:b.firstChild,"tr")?a.getElementsByTagName("tbody")[0]||a.appendChild(a.ownerDocument.createElement("tbody")):a}function xa(a){return a.type=(null!==m.find.attr(a,"type"))+"/"+a.type,a}function ya(a){var b=pa.exec(a.type);return b?a.type=b[1]:a.removeAttribute("type"),a}function za(a,b){for(var c,d=0;null!=(c=a[d]);d++)m._data(c,"globalEval",!b||m._data(b[d],"globalEval"))}function Aa(a,b){if(1===b.nodeType&&m.hasData(a)){var c,d,e,f=m._data(a),g=m._data(b,f),h=f.events;if(h){delete g.handle,g.events={};for(c in h)for(d=0,e=h[c].length;e>d;d++)m.event.add(b,c,h[c][d])}g.data&&(g.data=m.extend({},g.data))}}function Ba(a,b){var c,d,e;if(1===b.nodeType){if(c=b.nodeName.toLowerCase(),!k.noCloneEvent&&b[m.expando]){e=m._data(b);for(d in e.events)m.removeEvent(b,d,e.handle);b.removeAttribute(m.expando)}"script"===c&&b.text!==a.text?(xa(b).text=a.text,ya(b)):"object"===c?(b.parentNode&&(b.outerHTML=a.outerHTML),k.html5Clone&&a.innerHTML&&!m.trim(b.innerHTML)&&(b.innerHTML=a.innerHTML)):"input"===c&&W.test(a.type)?(b.defaultChecked=b.checked=a.checked,b.value!==a.value&&(b.value=a.value)):"option"===c?b.defaultSelected=b.selected=a.defaultSelected:("input"===c||"textarea"===c)&&(b.defaultValue=a.defaultValue)}}m.extend({clone:function(a,b,c){var d,e,f,g,h,i=m.contains(a.ownerDocument,a);if(k.html5Clone||m.isXMLDoc(a)||!ga.test("<"+a.nodeName+">")?f=a.cloneNode(!0):(ta.innerHTML=a.outerHTML,ta.removeChild(f=ta.firstChild)),!(k.noCloneEvent&&k.noCloneChecked||1!==a.nodeType&&11!==a.nodeType||m.isXMLDoc(a)))for(d=ua(f),h=ua(a),g=0;null!=(e=h[g]);++g)d[g]&&Ba(e,d[g]);if(b)if(c)for(h=h||ua(a),d=d||ua(f),g=0;null!=(e=h[g]);g++)Aa(e,d[g]);else Aa(a,f);return d=ua(f,"script"),d.length>0&&za(d,!i&&ua(a,"script")),d=h=e=null,f},buildFragment:function(a,b,c,d){for(var e,f,g,h,i,j,l,n=a.length,o=da(b),p=[],q=0;n>q;q++)if(f=a[q],f||0===f)if("object"===m.type(f))m.merge(p,f.nodeType?[f]:f);else if(la.test(f)){h=h||o.appendChild(b.createElement("div")),i=(ja.exec(f)||["",""])[1].toLowerCase(),l=ra[i]||ra._default,h.innerHTML=l[1]+f.replace(ia,"<$1></$2>")+l[2],e=l[0];while(e--)h=h.lastChild;if(!k.leadingWhitespace&&ha.test(f)&&p.push(b.createTextNode(ha.exec(f)[0])),!k.tbody){f="table"!==i||ka.test(f)?"<table>"!==l[1]||ka.test(f)?0:h:h.firstChild,e=f&&f.childNodes.length;while(e--)m.nodeName(j=f.childNodes[e],"tbody")&&!j.childNodes.length&&f.removeChild(j)}m.merge(p,h.childNodes),h.textContent="";while(h.firstChild)h.removeChild(h.firstChild);h=o.lastChild}else p.push(b.createTextNode(f));h&&o.removeChild(h),k.appendChecked||m.grep(ua(p,"input"),va),q=0;while(f=p[q++])if((!d||-1===m.inArray(f,d))&&(g=m.contains(f.ownerDocument,f),h=ua(o.appendChild(f),"script"),g&&za(h),c)){e=0;while(f=h[e++])oa.test(f.type||"")&&c.push(f)}return h=null,o},cleanData:function(a,b){for(var d,e,f,g,h=0,i=m.expando,j=m.cache,l=k.deleteExpando,n=m.event.special;null!=(d=a[h]);h++)if((b||m.acceptData(d))&&(f=d[i],g=f&&j[f])){if(g.events)for(e in g.events)n[e]?m.event.remove(d,e):m.removeEvent(d,e,g.handle);j[f]&&(delete j[f],l?delete d[i]:typeof d.removeAttribute!==K?d.removeAttribute(i):d[i]=null,c.push(f))}}}),m.fn.extend({text:function(a){return V(this,function(a){return void 0===a?m.text(this):this.empty().append((this[0]&&this[0].ownerDocument||y).createTextNode(a))},null,a,arguments.length)},append:function(){return this.domManip(arguments,function(a){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var b=wa(this,a);b.appendChild(a)}})},prepend:function(){return this.domManip(arguments,function(a){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var b=wa(this,a);b.insertBefore(a,b.firstChild)}})},before:function(){return this.domManip(arguments,function(a){this.parentNode&&this.parentNode.insertBefore(a,this)})},after:function(){return this.domManip(arguments,function(a){this.parentNode&&this.parentNode.insertBefore(a,this.nextSibling)})},remove:function(a,b){for(var c,d=a?m.filter(a,this):this,e=0;null!=(c=d[e]);e++)b||1!==c.nodeType||m.cleanData(ua(c)),c.parentNode&&(b&&m.contains(c.ownerDocument,c)&&za(ua(c,"script")),c.parentNode.removeChild(c));return this},empty:function(){for(var a,b=0;null!=(a=this[b]);b++){1===a.nodeType&&m.cleanData(ua(a,!1));while(a.firstChild)a.removeChild(a.firstChild);a.options&&m.nodeName(a,"select")&&(a.options.length=0)}return this},clone:function(a,b){return a=null==a?!1:a,b=null==b?a:b,this.map(function(){return m.clone(this,a,b)})},html:function(a){return V(this,function(a){var b=this[0]||{},c=0,d=this.length;if(void 0===a)return 1===b.nodeType?b.innerHTML.replace(fa,""):void 0;if(!("string"!=typeof a||ma.test(a)||!k.htmlSerialize&&ga.test(a)||!k.leadingWhitespace&&ha.test(a)||ra[(ja.exec(a)||["",""])[1].toLowerCase()])){a=a.replace(ia,"<$1></$2>");try{for(;d>c;c++)b=this[c]||{},1===b.nodeType&&(m.cleanData(ua(b,!1)),b.innerHTML=a);b=0}catch(e){}}b&&this.empty().append(a)},null,a,arguments.length)},replaceWith:function(){var a=arguments[0];return this.domManip(arguments,function(b){a=this.parentNode,m.cleanData(ua(this)),a&&a.replaceChild(b,this)}),a&&(a.length||a.nodeType)?this:this.remove()},detach:function(a){return this.remove(a,!0)},domManip:function(a,b){a=e.apply([],a);var c,d,f,g,h,i,j=0,l=this.length,n=this,o=l-1,p=a[0],q=m.isFunction(p);if(q||l>1&&"string"==typeof p&&!k.checkClone&&na.test(p))return this.each(function(c){var d=n.eq(c);q&&(a[0]=p.call(this,c,d.html())),d.domManip(a,b)});if(l&&(i=m.buildFragment(a,this[0].ownerDocument,!1,this),c=i.firstChild,1===i.childNodes.length&&(i=c),c)){for(g=m.map(ua(i,"script"),xa),f=g.length;l>j;j++)d=i,j!==o&&(d=m.clone(d,!0,!0),f&&m.merge(g,ua(d,"script"))),b.call(this[j],d,j);if(f)for(h=g[g.length-1].ownerDocument,m.map(g,ya),j=0;f>j;j++)d=g[j],oa.test(d.type||"")&&!m._data(d,"globalEval")&&m.contains(h,d)&&(d.src?m._evalUrl&&m._evalUrl(d.src):m.globalEval((d.text||d.textContent||d.innerHTML||"").replace(qa,"")));i=c=null}return this}}),m.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(a,b){m.fn[a]=function(a){for(var c,d=0,e=[],g=m(a),h=g.length-1;h>=d;d++)c=d===h?this:this.clone(!0),m(g[d])[b](c),f.apply(e,c.get());return this.pushStack(e)}});var Ca,Da={};function Ea(b,c){var d,e=m(c.createElement(b)).appendTo(c.body),f=a.getDefaultComputedStyle&&(d=a.getDefaultComputedStyle(e[0]))?d.display:m.css(e[0],"display");return e.detach(),f}function Fa(a){var b=y,c=Da[a];return c||(c=Ea(a,b),"none"!==c&&c||(Ca=(Ca||m("<iframe frameborder='0' width='0' height='0'/>")).appendTo(b.documentElement),b=(Ca[0].contentWindow||Ca[0].contentDocument).document,b.write(),b.close(),c=Ea(a,b),Ca.detach()),Da[a]=c),c}!function(){var a;k.shrinkWrapBlocks=function(){if(null!=a)return a;a=!1;var b,c,d;return c=y.getElementsByTagName("body")[0],c&&c.style?(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),typeof b.style.zoom!==K&&(b.style.cssText="-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;display:block;margin:0;border:0;padding:1px;width:1px;zoom:1",b.appendChild(y.createElement("div")).style.width="5px",a=3!==b.offsetWidth),c.removeChild(d),a):void 0}}();var Ga=/^margin/,Ha=new RegExp("^("+S+")(?!px)[a-z%]+$","i"),Ia,Ja,Ka=/^(top|right|bottom|left)$/;a.getComputedStyle?(Ia=function(b){return b.ownerDocument.defaultView.opener?b.ownerDocument.defaultView.getComputedStyle(b,null):a.getComputedStyle(b,null)},Ja=function(a,b,c){var d,e,f,g,h=a.style;return c=c||Ia(a),g=c?c.getPropertyValue(b)||c[b]:void 0,c&&(""!==g||m.contains(a.ownerDocument,a)||(g=m.style(a,b)),Ha.test(g)&&Ga.test(b)&&(d=h.width,e=h.minWidth,f=h.maxWidth,h.minWidth=h.maxWidth=h.width=g,g=c.width,h.width=d,h.minWidth=e,h.maxWidth=f)),void 0===g?g:g+""}):y.documentElement.currentStyle&&(Ia=function(a){return a.currentStyle},Ja=function(a,b,c){var d,e,f,g,h=a.style;return c=c||Ia(a),g=c?c[b]:void 0,null==g&&h&&h[b]&&(g=h[b]),Ha.test(g)&&!Ka.test(b)&&(d=h.left,e=a.runtimeStyle,f=e&&e.left,f&&(e.left=a.currentStyle.left),h.left="fontSize"===b?"1em":g,g=h.pixelLeft+"px",h.left=d,f&&(e.left=f)),void 0===g?g:g+""||"auto"});function La(a,b){return{get:function(){var c=a();if(null!=c)return c?void delete this.get:(this.get=b).apply(this,arguments)}}}!function(){var b,c,d,e,f,g,h;if(b=y.createElement("div"),b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",d=b.getElementsByTagName("a")[0],c=d&&d.style){c.cssText="float:left;opacity:.5",k.opacity="0.5"===c.opacity,k.cssFloat=!!c.cssFloat,b.style.backgroundClip="content-box",b.cloneNode(!0).style.backgroundClip="",k.clearCloneStyle="content-box"===b.style.backgroundClip,k.boxSizing=""===c.boxSizing||""===c.MozBoxSizing||""===c.WebkitBoxSizing,m.extend(k,{reliableHiddenOffsets:function(){return null==g&&i(),g},boxSizingReliable:function(){return null==f&&i(),f},pixelPosition:function(){return null==e&&i(),e},reliableMarginRight:function(){return null==h&&i(),h}});function i(){var b,c,d,i;c=y.getElementsByTagName("body")[0],c&&c.style&&(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),b.style.cssText="-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;display:block;margin-top:1%;top:1%;border:1px;padding:1px;width:4px;position:absolute",e=f=!1,h=!0,a.getComputedStyle&&(e="1%"!==(a.getComputedStyle(b,null)||{}).top,f="4px"===(a.getComputedStyle(b,null)||{width:"4px"}).width,i=b.appendChild(y.createElement("div")),i.style.cssText=b.style.cssText="-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;display:block;margin:0;border:0;padding:0",i.style.marginRight=i.style.width="0",b.style.width="1px",h=!parseFloat((a.getComputedStyle(i,null)||{}).marginRight),b.removeChild(i)),b.innerHTML="<table><tr><td></td><td>t</td></tr></table>",i=b.getElementsByTagName("td"),i[0].style.cssText="margin:0;border:0;padding:0;display:none",g=0===i[0].offsetHeight,g&&(i[0].style.display="",i[1].style.display="none",g=0===i[0].offsetHeight),c.removeChild(d))}}}(),m.swap=function(a,b,c,d){var e,f,g={};for(f in b)g[f]=a.style[f],a.style[f]=b[f];e=c.apply(a,d||[]);for(f in b)a.style[f]=g[f];return e};var Ma=/alpha\([^)]*\)/i,Na=/opacity\s*=\s*([^)]*)/,Oa=/^(none|table(?!-c[ea]).+)/,Pa=new RegExp("^("+S+")(.*)$","i"),Qa=new RegExp("^([+-])=("+S+")","i"),Ra={position:"absolute",visibility:"hidden",display:"block"},Sa={letterSpacing:"0",fontWeight:"400"},Ta=["Webkit","O","Moz","ms"];function Ua(a,b){if(b in a)return b;var c=b.charAt(0).toUpperCase()+b.slice(1),d=b,e=Ta.length;while(e--)if(b=Ta[e]+c,b in a)return b;return d}function Va(a,b){for(var c,d,e,f=[],g=0,h=a.length;h>g;g++)d=a[g],d.style&&(f[g]=m._data(d,"olddisplay"),c=d.style.display,b?(f[g]||"none"!==c||(d.style.display=""),""===d.style.display&&U(d)&&(f[g]=m._data(d,"olddisplay",Fa(d.nodeName)))):(e=U(d),(c&&"none"!==c||!e)&&m._data(d,"olddisplay",e?c:m.css(d,"display"))));for(g=0;h>g;g++)d=a[g],d.style&&(b&&"none"!==d.style.display&&""!==d.style.display||(d.style.display=b?f[g]||"":"none"));return a}function Wa(a,b,c){var d=Pa.exec(b);return d?Math.max(0,d[1]-(c||0))+(d[2]||"px"):b}function Xa(a,b,c,d,e){for(var f=c===(d?"border":"content")?4:"width"===b?1:0,g=0;4>f;f+=2)"margin"===c&&(g+=m.css(a,c+T[f],!0,e)),d?("content"===c&&(g-=m.css(a,"padding"+T[f],!0,e)),"margin"!==c&&(g-=m.css(a,"border"+T[f]+"Width",!0,e))):(g+=m.css(a,"padding"+T[f],!0,e),"padding"!==c&&(g+=m.css(a,"border"+T[f]+"Width",!0,e)));return g}function Ya(a,b,c){var d=!0,e="width"===b?a.offsetWidth:a.offsetHeight,f=Ia(a),g=k.boxSizing&&"border-box"===m.css(a,"boxSizing",!1,f);if(0>=e||null==e){if(e=Ja(a,b,f),(0>e||null==e)&&(e=a.style[b]),Ha.test(e))return e;d=g&&(k.boxSizingReliable()||e===a.style[b]),e=parseFloat(e)||0}return e+Xa(a,b,c||(g?"border":"content"),d,f)+"px"}m.extend({cssHooks:{opacity:{get:function(a,b){if(b){var c=Ja(a,"opacity");return""===c?"1":c}}}},cssNumber:{columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{"float":k.cssFloat?"cssFloat":"styleFloat"},style:function(a,b,c,d){if(a&&3!==a.nodeType&&8!==a.nodeType&&a.style){var e,f,g,h=m.camelCase(b),i=a.style;if(b=m.cssProps[h]||(m.cssProps[h]=Ua(i,h)),g=m.cssHooks[b]||m.cssHooks[h],void 0===c)return g&&"get"in g&&void 0!==(e=g.get(a,!1,d))?e:i[b];if(f=typeof c,"string"===f&&(e=Qa.exec(c))&&(c=(e[1]+1)*e[2]+parseFloat(m.css(a,b)),f="number"),null!=c&&c===c&&("number"!==f||m.cssNumber[h]||(c+="px"),k.clearCloneStyle||""!==c||0!==b.indexOf("background")||(i[b]="inherit"),!(g&&"set"in g&&void 0===(c=g.set(a,c,d)))))try{i[b]=c}catch(j){}}},css:function(a,b,c,d){var e,f,g,h=m.camelCase(b);return b=m.cssProps[h]||(m.cssProps[h]=Ua(a.style,h)),g=m.cssHooks[b]||m.cssHooks[h],g&&"get"in g&&(f=g.get(a,!0,c)),void 0===f&&(f=Ja(a,b,d)),"normal"===f&&b in Sa&&(f=Sa[b]),""===c||c?(e=parseFloat(f),c===!0||m.isNumeric(e)?e||0:f):f}}),m.each(["height","width"],function(a,b){m.cssHooks[b]={get:function(a,c,d){return c?Oa.test(m.css(a,"display"))&&0===a.offsetWidth?m.swap(a,Ra,function(){return Ya(a,b,d)}):Ya(a,b,d):void 0},set:function(a,c,d){var e=d&&Ia(a);return Wa(a,c,d?Xa(a,b,d,k.boxSizing&&"border-box"===m.css(a,"boxSizing",!1,e),e):0)}}}),k.opacity||(m.cssHooks.opacity={get:function(a,b){return Na.test((b&&a.currentStyle?a.currentStyle.filter:a.style.filter)||"")?.01*parseFloat(RegExp.$1)+"":b?"1":""},set:function(a,b){var c=a.style,d=a.currentStyle,e=m.isNumeric(b)?"alpha(opacity="+100*b+")":"",f=d&&d.filter||c.filter||"";c.zoom=1,(b>=1||""===b)&&""===m.trim(f.replace(Ma,""))&&c.removeAttribute&&(c.removeAttribute("filter"),""===b||d&&!d.filter)||(c.filter=Ma.test(f)?f.replace(Ma,e):f+" "+e)}}),m.cssHooks.marginRight=La(k.reliableMarginRight,function(a,b){return b?m.swap(a,{display:"inline-block"},Ja,[a,"marginRight"]):void 0}),m.each({margin:"",padding:"",border:"Width"},function(a,b){m.cssHooks[a+b]={expand:function(c){for(var d=0,e={},f="string"==typeof c?c.split(" "):[c];4>d;d++)e[a+T[d]+b]=f[d]||f[d-2]||f[0];return e}},Ga.test(a)||(m.cssHooks[a+b].set=Wa)}),m.fn.extend({css:function(a,b){return V(this,function(a,b,c){var d,e,f={},g=0;if(m.isArray(b)){for(d=Ia(a),e=b.length;e>g;g++)f[b[g]]=m.css(a,b[g],!1,d);return f}return void 0!==c?m.style(a,b,c):m.css(a,b)},a,b,arguments.length>1)},show:function(){return Va(this,!0)},hide:function(){return Va(this)},toggle:function(a){return"boolean"==typeof a?a?this.show():this.hide():this.each(function(){U(this)?m(this).show():m(this).hide()})}});function Za(a,b,c,d,e){
-return new Za.prototype.init(a,b,c,d,e)}m.Tween=Za,Za.prototype={constructor:Za,init:function(a,b,c,d,e,f){this.elem=a,this.prop=c,this.easing=e||"swing",this.options=b,this.start=this.now=this.cur(),this.end=d,this.unit=f||(m.cssNumber[c]?"":"px")},cur:function(){var a=Za.propHooks[this.prop];return a&&a.get?a.get(this):Za.propHooks._default.get(this)},run:function(a){var b,c=Za.propHooks[this.prop];return this.options.duration?this.pos=b=m.easing[this.easing](a,this.options.duration*a,0,1,this.options.duration):this.pos=b=a,this.now=(this.end-this.start)*b+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),c&&c.set?c.set(this):Za.propHooks._default.set(this),this}},Za.prototype.init.prototype=Za.prototype,Za.propHooks={_default:{get:function(a){var b;return null==a.elem[a.prop]||a.elem.style&&null!=a.elem.style[a.prop]?(b=m.css(a.elem,a.prop,""),b&&"auto"!==b?b:0):a.elem[a.prop]},set:function(a){m.fx.step[a.prop]?m.fx.step[a.prop](a):a.elem.style&&(null!=a.elem.style[m.cssProps[a.prop]]||m.cssHooks[a.prop])?m.style(a.elem,a.prop,a.now+a.unit):a.elem[a.prop]=a.now}}},Za.propHooks.scrollTop=Za.propHooks.scrollLeft={set:function(a){a.elem.nodeType&&a.elem.parentNode&&(a.elem[a.prop]=a.now)}},m.easing={linear:function(a){return a},swing:function(a){return.5-Math.cos(a*Math.PI)/2}},m.fx=Za.prototype.init,m.fx.step={};var $a,_a,ab=/^(?:toggle|show|hide)$/,bb=new RegExp("^(?:([+-])=|)("+S+")([a-z%]*)$","i"),cb=/queueHooks$/,db=[ib],eb={"*":[function(a,b){var c=this.createTween(a,b),d=c.cur(),e=bb.exec(b),f=e&&e[3]||(m.cssNumber[a]?"":"px"),g=(m.cssNumber[a]||"px"!==f&&+d)&&bb.exec(m.css(c.elem,a)),h=1,i=20;if(g&&g[3]!==f){f=f||g[3],e=e||[],g=+d||1;do h=h||".5",g/=h,m.style(c.elem,a,g+f);while(h!==(h=c.cur()/d)&&1!==h&&--i)}return e&&(g=c.start=+g||+d||0,c.unit=f,c.end=e[1]?g+(e[1]+1)*e[2]:+e[2]),c}]};function fb(){return setTimeout(function(){$a=void 0}),$a=m.now()}function gb(a,b){var c,d={height:a},e=0;for(b=b?1:0;4>e;e+=2-b)c=T[e],d["margin"+c]=d["padding"+c]=a;return b&&(d.opacity=d.width=a),d}function hb(a,b,c){for(var d,e=(eb[b]||[]).concat(eb["*"]),f=0,g=e.length;g>f;f++)if(d=e[f].call(c,b,a))return d}function ib(a,b,c){var d,e,f,g,h,i,j,l,n=this,o={},p=a.style,q=a.nodeType&&U(a),r=m._data(a,"fxshow");c.queue||(h=m._queueHooks(a,"fx"),null==h.unqueued&&(h.unqueued=0,i=h.empty.fire,h.empty.fire=function(){h.unqueued||i()}),h.unqueued++,n.always(function(){n.always(function(){h.unqueued--,m.queue(a,"fx").length||h.empty.fire()})})),1===a.nodeType&&("height"in b||"width"in b)&&(c.overflow=[p.overflow,p.overflowX,p.overflowY],j=m.css(a,"display"),l="none"===j?m._data(a,"olddisplay")||Fa(a.nodeName):j,"inline"===l&&"none"===m.css(a,"float")&&(k.inlineBlockNeedsLayout&&"inline"!==Fa(a.nodeName)?p.zoom=1:p.display="inline-block")),c.overflow&&(p.overflow="hidden",k.shrinkWrapBlocks()||n.always(function(){p.overflow=c.overflow[0],p.overflowX=c.overflow[1],p.overflowY=c.overflow[2]}));for(d in b)if(e=b[d],ab.exec(e)){if(delete b[d],f=f||"toggle"===e,e===(q?"hide":"show")){if("show"!==e||!r||void 0===r[d])continue;q=!0}o[d]=r&&r[d]||m.style(a,d)}else j=void 0;if(m.isEmptyObject(o))"inline"===("none"===j?Fa(a.nodeName):j)&&(p.display=j);else{r?"hidden"in r&&(q=r.hidden):r=m._data(a,"fxshow",{}),f&&(r.hidden=!q),q?m(a).show():n.done(function(){m(a).hide()}),n.done(function(){var b;m._removeData(a,"fxshow");for(b in o)m.style(a,b,o[b])});for(d in o)g=hb(q?r[d]:0,d,n),d in r||(r[d]=g.start,q&&(g.end=g.start,g.start="width"===d||"height"===d?1:0))}}function jb(a,b){var c,d,e,f,g;for(c in a)if(d=m.camelCase(c),e=b[d],f=a[c],m.isArray(f)&&(e=f[1],f=a[c]=f[0]),c!==d&&(a[d]=f,delete a[c]),g=m.cssHooks[d],g&&"expand"in g){f=g.expand(f),delete a[d];for(c in f)c in a||(a[c]=f[c],b[c]=e)}else b[d]=e}function kb(a,b,c){var d,e,f=0,g=db.length,h=m.Deferred().always(function(){delete i.elem}),i=function(){if(e)return!1;for(var b=$a||fb(),c=Math.max(0,j.startTime+j.duration-b),d=c/j.duration||0,f=1-d,g=0,i=j.tweens.length;i>g;g++)j.tweens[g].run(f);return h.notifyWith(a,[j,f,c]),1>f&&i?c:(h.resolveWith(a,[j]),!1)},j=h.promise({elem:a,props:m.extend({},b),opts:m.extend(!0,{specialEasing:{}},c),originalProperties:b,originalOptions:c,startTime:$a||fb(),duration:c.duration,tweens:[],createTween:function(b,c){var d=m.Tween(a,j.opts,b,c,j.opts.specialEasing[b]||j.opts.easing);return j.tweens.push(d),d},stop:function(b){var c=0,d=b?j.tweens.length:0;if(e)return this;for(e=!0;d>c;c++)j.tweens[c].run(1);return b?h.resolveWith(a,[j,b]):h.rejectWith(a,[j,b]),this}}),k=j.props;for(jb(k,j.opts.specialEasing);g>f;f++)if(d=db[f].call(j,a,k,j.opts))return d;return m.map(k,hb,j),m.isFunction(j.opts.start)&&j.opts.start.call(a,j),m.fx.timer(m.extend(i,{elem:a,anim:j,queue:j.opts.queue})),j.progress(j.opts.progress).done(j.opts.done,j.opts.complete).fail(j.opts.fail).always(j.opts.always)}m.Animation=m.extend(kb,{tweener:function(a,b){m.isFunction(a)?(b=a,a=["*"]):a=a.split(" ");for(var c,d=0,e=a.length;e>d;d++)c=a[d],eb[c]=eb[c]||[],eb[c].unshift(b)},prefilter:function(a,b){b?db.unshift(a):db.push(a)}}),m.speed=function(a,b,c){var d=a&&"object"==typeof a?m.extend({},a):{complete:c||!c&&b||m.isFunction(a)&&a,duration:a,easing:c&&b||b&&!m.isFunction(b)&&b};return d.duration=m.fx.off?0:"number"==typeof d.duration?d.duration:d.duration in m.fx.speeds?m.fx.speeds[d.duration]:m.fx.speeds._default,(null==d.queue||d.queue===!0)&&(d.queue="fx"),d.old=d.complete,d.complete=function(){m.isFunction(d.old)&&d.old.call(this),d.queue&&m.dequeue(this,d.queue)},d},m.fn.extend({fadeTo:function(a,b,c,d){return this.filter(U).css("opacity",0).show().end().animate({opacity:b},a,c,d)},animate:function(a,b,c,d){var e=m.isEmptyObject(a),f=m.speed(b,c,d),g=function(){var b=kb(this,m.extend({},a),f);(e||m._data(this,"finish"))&&b.stop(!0)};return g.finish=g,e||f.queue===!1?this.each(g):this.queue(f.queue,g)},stop:function(a,b,c){var d=function(a){var b=a.stop;delete a.stop,b(c)};return"string"!=typeof a&&(c=b,b=a,a=void 0),b&&a!==!1&&this.queue(a||"fx",[]),this.each(function(){var b=!0,e=null!=a&&a+"queueHooks",f=m.timers,g=m._data(this);if(e)g[e]&&g[e].stop&&d(g[e]);else for(e in g)g[e]&&g[e].stop&&cb.test(e)&&d(g[e]);for(e=f.length;e--;)f[e].elem!==this||null!=a&&f[e].queue!==a||(f[e].anim.stop(c),b=!1,f.splice(e,1));(b||!c)&&m.dequeue(this,a)})},finish:function(a){return a!==!1&&(a=a||"fx"),this.each(function(){var b,c=m._data(this),d=c[a+"queue"],e=c[a+"queueHooks"],f=m.timers,g=d?d.length:0;for(c.finish=!0,m.queue(this,a,[]),e&&e.stop&&e.stop.call(this,!0),b=f.length;b--;)f[b].elem===this&&f[b].queue===a&&(f[b].anim.stop(!0),f.splice(b,1));for(b=0;g>b;b++)d[b]&&d[b].finish&&d[b].finish.call(this);delete c.finish})}}),m.each(["toggle","show","hide"],function(a,b){var c=m.fn[b];m.fn[b]=function(a,d,e){return null==a||"boolean"==typeof a?c.apply(this,arguments):this.animate(gb(b,!0),a,d,e)}}),m.each({slideDown:gb("show"),slideUp:gb("hide"),slideToggle:gb("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(a,b){m.fn[a]=function(a,c,d){return this.animate(b,a,c,d)}}),m.timers=[],m.fx.tick=function(){var a,b=m.timers,c=0;for($a=m.now();c<b.length;c++)a=b[c],a()||b[c]!==a||b.splice(c--,1);b.length||m.fx.stop(),$a=void 0},m.fx.timer=function(a){m.timers.push(a),a()?m.fx.start():m.timers.pop()},m.fx.interval=13,m.fx.start=function(){_a||(_a=setInterval(m.fx.tick,m.fx.interval))},m.fx.stop=function(){clearInterval(_a),_a=null},m.fx.speeds={slow:600,fast:200,_default:400},m.fn.delay=function(a,b){return a=m.fx?m.fx.speeds[a]||a:a,b=b||"fx",this.queue(b,function(b,c){var d=setTimeout(b,a);c.stop=function(){clearTimeout(d)}})},function(){var a,b,c,d,e;b=y.createElement("div"),b.setAttribute("className","t"),b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",d=b.getElementsByTagName("a")[0],c=y.createElement("select"),e=c.appendChild(y.createElement("option")),a=b.getElementsByTagName("input")[0],d.style.cssText="top:1px",k.getSetAttribute="t"!==b.className,k.style=/top/.test(d.getAttribute("style")),k.hrefNormalized="/a"===d.getAttribute("href"),k.checkOn=!!a.value,k.optSelected=e.selected,k.enctype=!!y.createElement("form").enctype,c.disabled=!0,k.optDisabled=!e.disabled,a=y.createElement("input"),a.setAttribute("value",""),k.input=""===a.getAttribute("value"),a.value="t",a.setAttribute("type","radio"),k.radioValue="t"===a.value}();var lb=/\r/g;m.fn.extend({val:function(a){var b,c,d,e=this[0];{if(arguments.length)return d=m.isFunction(a),this.each(function(c){var e;1===this.nodeType&&(e=d?a.call(this,c,m(this).val()):a,null==e?e="":"number"==typeof e?e+="":m.isArray(e)&&(e=m.map(e,function(a){return null==a?"":a+""})),b=m.valHooks[this.type]||m.valHooks[this.nodeName.toLowerCase()],b&&"set"in b&&void 0!==b.set(this,e,"value")||(this.value=e))});if(e)return b=m.valHooks[e.type]||m.valHooks[e.nodeName.toLowerCase()],b&&"get"in b&&void 0!==(c=b.get(e,"value"))?c:(c=e.value,"string"==typeof c?c.replace(lb,""):null==c?"":c)}}}),m.extend({valHooks:{option:{get:function(a){var b=m.find.attr(a,"value");return null!=b?b:m.trim(m.text(a))}},select:{get:function(a){for(var b,c,d=a.options,e=a.selectedIndex,f="select-one"===a.type||0>e,g=f?null:[],h=f?e+1:d.length,i=0>e?h:f?e:0;h>i;i++)if(c=d[i],!(!c.selected&&i!==e||(k.optDisabled?c.disabled:null!==c.getAttribute("disabled"))||c.parentNode.disabled&&m.nodeName(c.parentNode,"optgroup"))){if(b=m(c).val(),f)return b;g.push(b)}return g},set:function(a,b){var c,d,e=a.options,f=m.makeArray(b),g=e.length;while(g--)if(d=e[g],m.inArray(m.valHooks.option.get(d),f)>=0)try{d.selected=c=!0}catch(h){d.scrollHeight}else d.selected=!1;return c||(a.selectedIndex=-1),e}}}}),m.each(["radio","checkbox"],function(){m.valHooks[this]={set:function(a,b){return m.isArray(b)?a.checked=m.inArray(m(a).val(),b)>=0:void 0}},k.checkOn||(m.valHooks[this].get=function(a){return null===a.getAttribute("value")?"on":a.value})});var mb,nb,ob=m.expr.attrHandle,pb=/^(?:checked|selected)$/i,qb=k.getSetAttribute,rb=k.input;m.fn.extend({attr:function(a,b){return V(this,m.attr,a,b,arguments.length>1)},removeAttr:function(a){return this.each(function(){m.removeAttr(this,a)})}}),m.extend({attr:function(a,b,c){var d,e,f=a.nodeType;if(a&&3!==f&&8!==f&&2!==f)return typeof a.getAttribute===K?m.prop(a,b,c):(1===f&&m.isXMLDoc(a)||(b=b.toLowerCase(),d=m.attrHooks[b]||(m.expr.match.bool.test(b)?nb:mb)),void 0===c?d&&"get"in d&&null!==(e=d.get(a,b))?e:(e=m.find.attr(a,b),null==e?void 0:e):null!==c?d&&"set"in d&&void 0!==(e=d.set(a,c,b))?e:(a.setAttribute(b,c+""),c):void m.removeAttr(a,b))},removeAttr:function(a,b){var c,d,e=0,f=b&&b.match(E);if(f&&1===a.nodeType)while(c=f[e++])d=m.propFix[c]||c,m.expr.match.bool.test(c)?rb&&qb||!pb.test(c)?a[d]=!1:a[m.camelCase("default-"+c)]=a[d]=!1:m.attr(a,c,""),a.removeAttribute(qb?c:d)},attrHooks:{type:{set:function(a,b){if(!k.radioValue&&"radio"===b&&m.nodeName(a,"input")){var c=a.value;return a.setAttribute("type",b),c&&(a.value=c),b}}}}}),nb={set:function(a,b,c){return b===!1?m.removeAttr(a,c):rb&&qb||!pb.test(c)?a.setAttribute(!qb&&m.propFix[c]||c,c):a[m.camelCase("default-"+c)]=a[c]=!0,c}},m.each(m.expr.match.bool.source.match(/\w+/g),function(a,b){var c=ob[b]||m.find.attr;ob[b]=rb&&qb||!pb.test(b)?function(a,b,d){var e,f;return d||(f=ob[b],ob[b]=e,e=null!=c(a,b,d)?b.toLowerCase():null,ob[b]=f),e}:function(a,b,c){return c?void 0:a[m.camelCase("default-"+b)]?b.toLowerCase():null}}),rb&&qb||(m.attrHooks.value={set:function(a,b,c){return m.nodeName(a,"input")?void(a.defaultValue=b):mb&&mb.set(a,b,c)}}),qb||(mb={set:function(a,b,c){var d=a.getAttributeNode(c);return d||a.setAttributeNode(d=a.ownerDocument.createAttribute(c)),d.value=b+="","value"===c||b===a.getAttribute(c)?b:void 0}},ob.id=ob.name=ob.coords=function(a,b,c){var d;return c?void 0:(d=a.getAttributeNode(b))&&""!==d.value?d.value:null},m.valHooks.button={get:function(a,b){var c=a.getAttributeNode(b);return c&&c.specified?c.value:void 0},set:mb.set},m.attrHooks.contenteditable={set:function(a,b,c){mb.set(a,""===b?!1:b,c)}},m.each(["width","height"],function(a,b){m.attrHooks[b]={set:function(a,c){return""===c?(a.setAttribute(b,"auto"),c):void 0}}})),k.style||(m.attrHooks.style={get:function(a){return a.style.cssText||void 0},set:function(a,b){return a.style.cssText=b+""}});var sb=/^(?:input|select|textarea|button|object)$/i,tb=/^(?:a|area)$/i;m.fn.extend({prop:function(a,b){return V(this,m.prop,a,b,arguments.length>1)},removeProp:function(a){return a=m.propFix[a]||a,this.each(function(){try{this[a]=void 0,delete this[a]}catch(b){}})}}),m.extend({propFix:{"for":"htmlFor","class":"className"},prop:function(a,b,c){var d,e,f,g=a.nodeType;if(a&&3!==g&&8!==g&&2!==g)return f=1!==g||!m.isXMLDoc(a),f&&(b=m.propFix[b]||b,e=m.propHooks[b]),void 0!==c?e&&"set"in e&&void 0!==(d=e.set(a,c,b))?d:a[b]=c:e&&"get"in e&&null!==(d=e.get(a,b))?d:a[b]},propHooks:{tabIndex:{get:function(a){var b=m.find.attr(a,"tabindex");return b?parseInt(b,10):sb.test(a.nodeName)||tb.test(a.nodeName)&&a.href?0:-1}}}}),k.hrefNormalized||m.each(["href","src"],function(a,b){m.propHooks[b]={get:function(a){return a.getAttribute(b,4)}}}),k.optSelected||(m.propHooks.selected={get:function(a){var b=a.parentNode;return b&&(b.selectedIndex,b.parentNode&&b.parentNode.selectedIndex),null}}),m.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){m.propFix[this.toLowerCase()]=this}),k.enctype||(m.propFix.enctype="encoding");var ub=/[\t\r\n\f]/g;m.fn.extend({addClass:function(a){var b,c,d,e,f,g,h=0,i=this.length,j="string"==typeof a&&a;if(m.isFunction(a))return this.each(function(b){m(this).addClass(a.call(this,b,this.className))});if(j)for(b=(a||"").match(E)||[];i>h;h++)if(c=this[h],d=1===c.nodeType&&(c.className?(" "+c.className+" ").replace(ub," "):" ")){f=0;while(e=b[f++])d.indexOf(" "+e+" ")<0&&(d+=e+" ");g=m.trim(d),c.className!==g&&(c.className=g)}return this},removeClass:function(a){var b,c,d,e,f,g,h=0,i=this.length,j=0===arguments.length||"string"==typeof a&&a;if(m.isFunction(a))return this.each(function(b){m(this).removeClass(a.call(this,b,this.className))});if(j)for(b=(a||"").match(E)||[];i>h;h++)if(c=this[h],d=1===c.nodeType&&(c.className?(" "+c.className+" ").replace(ub," "):"")){f=0;while(e=b[f++])while(d.indexOf(" "+e+" ")>=0)d=d.replace(" "+e+" "," ");g=a?m.trim(d):"",c.className!==g&&(c.className=g)}return this},toggleClass:function(a,b){var c=typeof a;return"boolean"==typeof b&&"string"===c?b?this.addClass(a):this.removeClass(a):this.each(m.isFunction(a)?function(c){m(this).toggleClass(a.call(this,c,this.className,b),b)}:function(){if("string"===c){var b,d=0,e=m(this),f=a.match(E)||[];while(b=f[d++])e.hasClass(b)?e.removeClass(b):e.addClass(b)}else(c===K||"boolean"===c)&&(this.className&&m._data(this,"__className__",this.className),this.className=this.className||a===!1?"":m._data(this,"__className__")||"")})},hasClass:function(a){for(var b=" "+a+" ",c=0,d=this.length;d>c;c++)if(1===this[c].nodeType&&(" "+this[c].className+" ").replace(ub," ").indexOf(b)>=0)return!0;return!1}}),m.each("blur focus focusin focusout load resize scroll unload click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup error contextmenu".split(" "),function(a,b){m.fn[b]=function(a,c){return arguments.length>0?this.on(b,null,a,c):this.trigger(b)}}),m.fn.extend({hover:function(a,b){return this.mouseenter(a).mouseleave(b||a)},bind:function(a,b,c){return this.on(a,null,b,c)},unbind:function(a,b){return this.off(a,null,b)},delegate:function(a,b,c,d){return this.on(b,a,c,d)},undelegate:function(a,b,c){return 1===arguments.length?this.off(a,"**"):this.off(b,a||"**",c)}});var vb=m.now(),wb=/\?/,xb=/(,)|(\[|{)|(}|])|"(?:[^"\\\r\n]|\\["\\\/bfnrt]|\\u[\da-fA-F]{4})*"\s*:?|true|false|null|-?(?!0\d)\d+(?:\.\d+|)(?:[eE][+-]?\d+|)/g;m.parseJSON=function(b){if(a.JSON&&a.JSON.parse)return a.JSON.parse(b+"");var c,d=null,e=m.trim(b+"");return e&&!m.trim(e.replace(xb,function(a,b,e,f){return c&&b&&(d=0),0===d?a:(c=e||b,d+=!f-!e,"")}))?Function("return "+e)():m.error("Invalid JSON: "+b)},m.parseXML=function(b){var c,d;if(!b||"string"!=typeof b)return null;try{a.DOMParser?(d=new DOMParser,c=d.parseFromString(b,"text/xml")):(c=new ActiveXObject("Microsoft.XMLDOM"),c.async="false",c.loadXML(b))}catch(e){c=void 0}return c&&c.documentElement&&!c.getElementsByTagName("parsererror").length||m.error("Invalid XML: "+b),c};var yb,zb,Ab=/#.*$/,Bb=/([?&])_=[^&]*/,Cb=/^(.*?):[ \t]*([^\r\n]*)\r?$/gm,Db=/^(?:about|app|app-storage|.+-extension|file|res|widget):$/,Eb=/^(?:GET|HEAD)$/,Fb=/^\/\//,Gb=/^([\w.+-]+:)(?:\/\/(?:[^\/?#]*@|)([^\/?#:]*)(?::(\d+)|)|)/,Hb={},Ib={},Jb="*/".concat("*");try{zb=location.href}catch(Kb){zb=y.createElement("a"),zb.href="",zb=zb.href}yb=Gb.exec(zb.toLowerCase())||[];function Lb(a){return function(b,c){"string"!=typeof b&&(c=b,b="*");var d,e=0,f=b.toLowerCase().match(E)||[];if(m.isFunction(c))while(d=f[e++])"+"===d.charAt(0)?(d=d.slice(1)||"*",(a[d]=a[d]||[]).unshift(c)):(a[d]=a[d]||[]).push(c)}}function Mb(a,b,c,d){var e={},f=a===Ib;function g(h){var i;return e[h]=!0,m.each(a[h]||[],function(a,h){var j=h(b,c,d);return"string"!=typeof j||f||e[j]?f?!(i=j):void 0:(b.dataTypes.unshift(j),g(j),!1)}),i}return g(b.dataTypes[0])||!e["*"]&&g("*")}function Nb(a,b){var c,d,e=m.ajaxSettings.flatOptions||{};for(d in b)void 0!==b[d]&&((e[d]?a:c||(c={}))[d]=b[d]);return c&&m.extend(!0,a,c),a}function Ob(a,b,c){var d,e,f,g,h=a.contents,i=a.dataTypes;while("*"===i[0])i.shift(),void 0===e&&(e=a.mimeType||b.getResponseHeader("Content-Type"));if(e)for(g in h)if(h[g]&&h[g].test(e)){i.unshift(g);break}if(i[0]in c)f=i[0];else{for(g in c){if(!i[0]||a.converters[g+" "+i[0]]){f=g;break}d||(d=g)}f=f||d}return f?(f!==i[0]&&i.unshift(f),c[f]):void 0}function Pb(a,b,c,d){var e,f,g,h,i,j={},k=a.dataTypes.slice();if(k[1])for(g in a.converters)j[g.toLowerCase()]=a.converters[g];f=k.shift();while(f)if(a.responseFields[f]&&(c[a.responseFields[f]]=b),!i&&d&&a.dataFilter&&(b=a.dataFilter(b,a.dataType)),i=f,f=k.shift())if("*"===f)f=i;else if("*"!==i&&i!==f){if(g=j[i+" "+f]||j["* "+f],!g)for(e in j)if(h=e.split(" "),h[1]===f&&(g=j[i+" "+h[0]]||j["* "+h[0]])){g===!0?g=j[e]:j[e]!==!0&&(f=h[0],k.unshift(h[1]));break}if(g!==!0)if(g&&a["throws"])b=g(b);else try{b=g(b)}catch(l){return{state:"parsererror",error:g?l:"No conversion from "+i+" to "+f}}}return{state:"success",data:b}}m.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:zb,type:"GET",isLocal:Db.test(yb[1]),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Jb,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/xml/,html:/html/,json:/json/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":m.parseJSON,"text xml":m.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(a,b){return b?Nb(Nb(a,m.ajaxSettings),b):Nb(m.ajaxSettings,a)},ajaxPrefilter:Lb(Hb),ajaxTransport:Lb(Ib),ajax:function(a,b){"object"==typeof a&&(b=a,a=void 0),b=b||{};var c,d,e,f,g,h,i,j,k=m.ajaxSetup({},b),l=k.context||k,n=k.context&&(l.nodeType||l.jquery)?m(l):m.event,o=m.Deferred(),p=m.Callbacks("once memory"),q=k.statusCode||{},r={},s={},t=0,u="canceled",v={readyState:0,getResponseHeader:function(a){var b;if(2===t){if(!j){j={};while(b=Cb.exec(f))j[b[1].toLowerCase()]=b[2]}b=j[a.toLowerCase()]}return null==b?null:b},getAllResponseHeaders:function(){return 2===t?f:null},setRequestHeader:function(a,b){var c=a.toLowerCase();return t||(a=s[c]=s[c]||a,r[a]=b),this},overrideMimeType:function(a){return t||(k.mimeType=a),this},statusCode:function(a){var b;if(a)if(2>t)for(b in a)q[b]=[q[b],a[b]];else v.always(a[v.status]);return this},abort:function(a){var b=a||u;return i&&i.abort(b),x(0,b),this}};if(o.promise(v).complete=p.add,v.success=v.done,v.error=v.fail,k.url=((a||k.url||zb)+"").replace(Ab,"").replace(Fb,yb[1]+"//"),k.type=b.method||b.type||k.method||k.type,k.dataTypes=m.trim(k.dataType||"*").toLowerCase().match(E)||[""],null==k.crossDomain&&(c=Gb.exec(k.url.toLowerCase()),k.crossDomain=!(!c||c[1]===yb[1]&&c[2]===yb[2]&&(c[3]||("http:"===c[1]?"80":"443"))===(yb[3]||("http:"===yb[1]?"80":"443")))),k.data&&k.processData&&"string"!=typeof k.data&&(k.data=m.param(k.data,k.traditional)),Mb(Hb,k,b,v),2===t)return v;h=m.event&&k.global,h&&0===m.active++&&m.event.trigger("ajaxStart"),k.type=k.type.toUpperCase(),k.hasContent=!Eb.test(k.type),e=k.url,k.hasContent||(k.data&&(e=k.url+=(wb.test(e)?"&":"?")+k.data,delete k.data),k.cache===!1&&(k.url=Bb.test(e)?e.replace(Bb,"$1_="+vb++):e+(wb.test(e)?"&":"?")+"_="+vb++)),k.ifModified&&(m.lastModified[e]&&v.setRequestHeader("If-Modified-Since",m.lastModified[e]),m.etag[e]&&v.setRequestHeader("If-None-Match",m.etag[e])),(k.data&&k.hasContent&&k.contentType!==!1||b.contentType)&&v.setRequestHeader("Content-Type",k.contentType),v.setRequestHeader("Accept",k.dataTypes[0]&&k.accepts[k.dataTypes[0]]?k.accepts[k.dataTypes[0]]+("*"!==k.dataTypes[0]?", "+Jb+"; q=0.01":""):k.accepts["*"]);for(d in k.headers)v.setRequestHeader(d,k.headers[d]);if(k.beforeSend&&(k.beforeSend.call(l,v,k)===!1||2===t))return v.abort();u="abort";for(d in{success:1,error:1,complete:1})v[d](k[d]);if(i=Mb(Ib,k,b,v)){v.readyState=1,h&&n.trigger("ajaxSend",[v,k]),k.async&&k.timeout>0&&(g=setTimeout(function(){v.abort("timeout")},k.timeout));try{t=1,i.send(r,x)}catch(w){if(!(2>t))throw w;x(-1,w)}}else x(-1,"No Transport");function x(a,b,c,d){var j,r,s,u,w,x=b;2!==t&&(t=2,g&&clearTimeout(g),i=void 0,f=d||"",v.readyState=a>0?4:0,j=a>=200&&300>a||304===a,c&&(u=Ob(k,v,c)),u=Pb(k,u,v,j),j?(k.ifModified&&(w=v.getResponseHeader("Last-Modified"),w&&(m.lastModified[e]=w),w=v.getResponseHeader("etag"),w&&(m.etag[e]=w)),204===a||"HEAD"===k.type?x="nocontent":304===a?x="notmodified":(x=u.state,r=u.data,s=u.error,j=!s)):(s=x,(a||!x)&&(x="error",0>a&&(a=0))),v.status=a,v.statusText=(b||x)+"",j?o.resolveWith(l,[r,x,v]):o.rejectWith(l,[v,x,s]),v.statusCode(q),q=void 0,h&&n.trigger(j?"ajaxSuccess":"ajaxError",[v,k,j?r:s]),p.fireWith(l,[v,x]),h&&(n.trigger("ajaxComplete",[v,k]),--m.active||m.event.trigger("ajaxStop")))}return v},getJSON:function(a,b,c){return m.get(a,b,c,"json")},getScript:function(a,b){return m.get(a,void 0,b,"script")}}),m.each(["get","post"],function(a,b){m[b]=function(a,c,d,e){return m.isFunction(c)&&(e=e||d,d=c,c=void 0),m.ajax({url:a,type:b,dataType:e,data:c,success:d})}}),m._evalUrl=function(a){return m.ajax({url:a,type:"GET",dataType:"script",async:!1,global:!1,"throws":!0})},m.fn.extend({wrapAll:function(a){if(m.isFunction(a))return this.each(function(b){m(this).wrapAll(a.call(this,b))});if(this[0]){var b=m(a,this[0].ownerDocument).eq(0).clone(!0);this[0].parentNode&&b.insertBefore(this[0]),b.map(function(){var a=this;while(a.firstChild&&1===a.firstChild.nodeType)a=a.firstChild;return a}).append(this)}return this},wrapInner:function(a){return this.each(m.isFunction(a)?function(b){m(this).wrapInner(a.call(this,b))}:function(){var b=m(this),c=b.contents();c.length?c.wrapAll(a):b.append(a)})},wrap:function(a){var b=m.isFunction(a);return this.each(function(c){m(this).wrapAll(b?a.call(this,c):a)})},unwrap:function(){return this.parent().each(function(){m.nodeName(this,"body")||m(this).replaceWith(this.childNodes)}).end()}}),m.expr.filters.hidden=function(a){return a.offsetWidth<=0&&a.offsetHeight<=0||!k.reliableHiddenOffsets()&&"none"===(a.style&&a.style.display||m.css(a,"display"))},m.expr.filters.visible=function(a){return!m.expr.filters.hidden(a)};var Qb=/%20/g,Rb=/\[\]$/,Sb=/\r?\n/g,Tb=/^(?:submit|button|image|reset|file)$/i,Ub=/^(?:input|select|textarea|keygen)/i;function Vb(a,b,c,d){var e;if(m.isArray(b))m.each(b,function(b,e){c||Rb.test(a)?d(a,e):Vb(a+"["+("object"==typeof e?b:"")+"]",e,c,d)});else if(c||"object"!==m.type(b))d(a,b);else for(e in b)Vb(a+"["+e+"]",b[e],c,d)}m.param=function(a,b){var c,d=[],e=function(a,b){b=m.isFunction(b)?b():null==b?"":b,d[d.length]=encodeURIComponent(a)+"="+encodeURIComponent(b)};if(void 0===b&&(b=m.ajaxSettings&&m.ajaxSettings.traditional),m.isArray(a)||a.jquery&&!m.isPlainObject(a))m.each(a,function(){e(this.name,this.value)});else for(c in a)Vb(c,a[c],b,e);return d.join("&").replace(Qb,"+")},m.fn.extend({serialize:function(){return m.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var a=m.prop(this,"elements");return a?m.makeArray(a):this}).filter(function(){var a=this.type;return this.name&&!m(this).is(":disabled")&&Ub.test(this.nodeName)&&!Tb.test(a)&&(this.checked||!W.test(a))}).map(function(a,b){var c=m(this).val();return null==c?null:m.isArray(c)?m.map(c,function(a){return{name:b.name,value:a.replace(Sb,"\r\n")}}):{name:b.name,value:c.replace(Sb,"\r\n")}}).get()}}),m.ajaxSettings.xhr=void 0!==a.ActiveXObject?function(){return!this.isLocal&&/^(get|post|head|put|delete|options)$/i.test(this.type)&&Zb()||$b()}:Zb;var Wb=0,Xb={},Yb=m.ajaxSettings.xhr();a.attachEvent&&a.attachEvent("onunload",function(){for(var a in Xb)Xb[a](void 0,!0)}),k.cors=!!Yb&&"withCredentials"in Yb,Yb=k.ajax=!!Yb,Yb&&m.ajaxTransport(function(a){if(!a.crossDomain||k.cors){var b;return{send:function(c,d){var e,f=a.xhr(),g=++Wb;if(f.open(a.type,a.url,a.async,a.username,a.password),a.xhrFields)for(e in a.xhrFields)f[e]=a.xhrFields[e];a.mimeType&&f.overrideMimeType&&f.overrideMimeType(a.mimeType),a.crossDomain||c["X-Requested-With"]||(c["X-Requested-With"]="XMLHttpRequest");for(e in c)void 0!==c[e]&&f.setRequestHeader(e,c[e]+"");f.send(a.hasContent&&a.data||null),b=function(c,e){var h,i,j;if(b&&(e||4===f.readyState))if(delete Xb[g],b=void 0,f.onreadystatechange=m.noop,e)4!==f.readyState&&f.abort();else{j={},h=f.status,"string"==typeof f.responseText&&(j.text=f.responseText);try{i=f.statusText}catch(k){i=""}h||!a.isLocal||a.crossDomain?1223===h&&(h=204):h=j.text?200:404}j&&d(h,i,j,f.getAllResponseHeaders())},a.async?4===f.readyState?setTimeout(b):f.onreadystatechange=Xb[g]=b:b()},abort:function(){b&&b(void 0,!0)}}}});function Zb(){try{return new a.XMLHttpRequest}catch(b){}}function $b(){try{return new a.ActiveXObject("Microsoft.XMLHTTP")}catch(b){}}m.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/(?:java|ecma)script/},converters:{"text script":function(a){return m.globalEval(a),a}}}),m.ajaxPrefilter("script",function(a){void 0===a.cache&&(a.cache=!1),a.crossDomain&&(a.type="GET",a.global=!1)}),m.ajaxTransport("script",function(a){if(a.crossDomain){var b,c=y.head||m("head")[0]||y.documentElement;return{send:function(d,e){b=y.createElement("script"),b.async=!0,a.scriptCharset&&(b.charset=a.scriptCharset),b.src=a.url,b.onload=b.onreadystatechange=function(a,c){(c||!b.readyState||/loaded|complete/.test(b.readyState))&&(b.onload=b.onreadystatechange=null,b.parentNode&&b.parentNode.removeChild(b),b=null,c||e(200,"success"))},c.insertBefore(b,c.firstChild)},abort:function(){b&&b.onload(void 0,!0)}}}});var _b=[],ac=/(=)\?(?=&|$)|\?\?/;m.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var a=_b.pop()||m.expando+"_"+vb++;return this[a]=!0,a}}),m.ajaxPrefilter("json jsonp",function(b,c,d){var e,f,g,h=b.jsonp!==!1&&(ac.test(b.url)?"url":"string"==typeof b.data&&!(b.contentType||"").indexOf("application/x-www-form-urlencoded")&&ac.test(b.data)&&"data");return h||"jsonp"===b.dataTypes[0]?(e=b.jsonpCallback=m.isFunction(b.jsonpCallback)?b.jsonpCallback():b.jsonpCallback,h?b[h]=b[h].replace(ac,"$1"+e):b.jsonp!==!1&&(b.url+=(wb.test(b.url)?"&":"?")+b.jsonp+"="+e),b.converters["script json"]=function(){return g||m.error(e+" was not called"),g[0]},b.dataTypes[0]="json",f=a[e],a[e]=function(){g=arguments},d.always(function(){a[e]=f,b[e]&&(b.jsonpCallback=c.jsonpCallback,_b.push(e)),g&&m.isFunction(f)&&f(g[0]),g=f=void 0}),"script"):void 0}),m.parseHTML=function(a,b,c){if(!a||"string"!=typeof a)return null;"boolean"==typeof b&&(c=b,b=!1),b=b||y;var d=u.exec(a),e=!c&&[];return d?[b.createElement(d[1])]:(d=m.buildFragment([a],b,e),e&&e.length&&m(e).remove(),m.merge([],d.childNodes))};var bc=m.fn.load;m.fn.load=function(a,b,c){if("string"!=typeof a&&bc)return bc.apply(this,arguments);var d,e,f,g=this,h=a.indexOf(" ");return h>=0&&(d=m.trim(a.slice(h,a.length)),a=a.slice(0,h)),m.isFunction(b)?(c=b,b=void 0):b&&"object"==typeof b&&(f="POST"),g.length>0&&m.ajax({url:a,type:f,dataType:"html",data:b}).done(function(a){e=arguments,g.html(d?m("<div>").append(m.parseHTML(a)).find(d):a)}).complete(c&&function(a,b){g.each(c,e||[a.responseText,b,a])}),this},m.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(a,b){m.fn[b]=function(a){return this.on(b,a)}}),m.expr.filters.animated=function(a){return m.grep(m.timers,function(b){return a===b.elem}).length};var cc=a.document.documentElement;function dc(a){return m.isWindow(a)?a:9===a.nodeType?a.defaultView||a.parentWindow:!1}m.offset={setOffset:function(a,b,c){var d,e,f,g,h,i,j,k=m.css(a,"position"),l=m(a),n={};"static"===k&&(a.style.position="relative"),h=l.offset(),f=m.css(a,"top"),i=m.css(a,"left"),j=("absolute"===k||"fixed"===k)&&m.inArray("auto",[f,i])>-1,j?(d=l.position(),g=d.top,e=d.left):(g=parseFloat(f)||0,e=parseFloat(i)||0),m.isFunction(b)&&(b=b.call(a,c,h)),null!=b.top&&(n.top=b.top-h.top+g),null!=b.left&&(n.left=b.left-h.left+e),"using"in b?b.using.call(a,n):l.css(n)}},m.fn.extend({offset:function(a){if(arguments.length)return void 0===a?this:this.each(function(b){m.offset.setOffset(this,a,b)});var b,c,d={top:0,left:0},e=this[0],f=e&&e.ownerDocument;if(f)return b=f.documentElement,m.contains(b,e)?(typeof e.getBoundingClientRect!==K&&(d=e.getBoundingClientRect()),c=dc(f),{top:d.top+(c.pageYOffset||b.scrollTop)-(b.clientTop||0),left:d.left+(c.pageXOffset||b.scrollLeft)-(b.clientLeft||0)}):d},position:function(){if(this[0]){var a,b,c={top:0,left:0},d=this[0];return"fixed"===m.css(d,"position")?b=d.getBoundingClientRect():(a=this.offsetParent(),b=this.offset(),m.nodeName(a[0],"html")||(c=a.offset()),c.top+=m.css(a[0],"borderTopWidth",!0),c.left+=m.css(a[0],"borderLeftWidth",!0)),{top:b.top-c.top-m.css(d,"marginTop",!0),left:b.left-c.left-m.css(d,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var a=this.offsetParent||cc;while(a&&!m.nodeName(a,"html")&&"static"===m.css(a,"position"))a=a.offsetParent;return a||cc})}}),m.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(a,b){var c=/Y/.test(b);m.fn[a]=function(d){return V(this,function(a,d,e){var f=dc(a);return void 0===e?f?b in f?f[b]:f.document.documentElement[d]:a[d]:void(f?f.scrollTo(c?m(f).scrollLeft():e,c?e:m(f).scrollTop()):a[d]=e)},a,d,arguments.length,null)}}),m.each(["top","left"],function(a,b){m.cssHooks[b]=La(k.pixelPosition,function(a,c){return c?(c=Ja(a,b),Ha.test(c)?m(a).position()[b]+"px":c):void 0})}),m.each({Height:"height",Width:"width"},function(a,b){m.each({padding:"inner"+a,content:b,"":"outer"+a},function(c,d){m.fn[d]=function(d,e){var f=arguments.length&&(c||"boolean"!=typeof d),g=c||(d===!0||e===!0?"margin":"border");return V(this,function(b,c,d){var e;return m.isWindow(b)?b.document.documentElement["client"+a]:9===b.nodeType?(e=b.documentElement,Math.max(b.body["scroll"+a],e["scroll"+a],b.body["offset"+a],e["offset"+a],e["client"+a])):void 0===d?m.css(b,c,g):m.style(b,c,d,g)},b,f?d:void 0,f,null)}})}),m.fn.size=function(){return this.length},m.fn.andSelf=m.fn.addBack,"function"==typeof define&&define.amd&&define("jquery",[],function(){return m});var ec=a.jQuery,fc=a.$;return m.noConflict=function(b){return a.$===m&&(a.$=fc),b&&a.jQuery===m&&(a.jQuery=ec),m},typeof b===K&&(a.jQuery=a.$=m),m});
+<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
 </script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <style type="text/css">html{font-family:sans-serif;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{margin:.67em 0;font-size:2em}mark{color:#000;background:#ff0}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{height:0;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}button,input,optgroup,select,textarea{margin:0;font:inherit;color:inherit}button{overflow:visible}button,select{text-transform:none}button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}input{line-height:normal}input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto}input[type=search]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none}fieldset{padding:.35em .625em .75em;margin:0 2px;border:1px solid silver}legend{padding:0;border:0}textarea{overflow:auto}optgroup{font-weight:700}table{border-spacing:0;border-collapse:collapse}td,th{padding:0}@media print{*,:after,:before{color:#000!important;text-shadow:none!important;background:0 0!important;-webkit-box-shadow:none!important;box-shadow:none!important}a,a:visited{text-decoration:underline}a[href]:after{content:" (" attr(href) ")"}abbr[title]:after{content:" (" attr(title) ")"}a[href^="javascript:"]:after,a[href^="#"]:after{content:""}blockquote,pre{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}img,tr{page-break-inside:avoid}img{max-width:100%!important}h2,h3,p{orphans:3;widows:3}h2,h3{page-break-after:avoid}.navbar{display:none}.btn>.caret,.dropup>.btn>.caret{border-top-color:#000!important}.label{border:1px solid #000}.table{border-collapse:collapse!important}.table td,.table th{background-color:#fff!important}.table-bordered td,.table-bordered th{border:1px solid #ddd!important}}@font-face{font-family:'Glyphicons Halflings';src:url(data:application/vnd.ms-fontobject;base64,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);src:url(data:application/vnd.ms-fontobject;base64,n04AAEFNAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAIAAAAAAAAAAAEAAAAAAAAAJxJ/LAAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAA5ADsAUABTACAAMAAwADEALgAwADAAOQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAKncAE0TAE0ZAEbuFM3pjM/SEdmjKHUbyow8ATBE40IvWA3vTu8LiABDQ+pexwUMcm1SMnNryctQSiI1K5ZnbOlXKmnVV5YvRe6RnNMFNCOs1KNVpn6yZhCJkRtVRNzEufeIq7HgSrcx4S8h/v4vnrrKc6oCNxmSk2uKlZQHBii6iKFoH0746ThvkO1kJHlxjrkxs+LWORaDQBEtiYJIR5IB9Bi1UyL4Rmr0BNigNkMzlKQmnofBHviqVzUxwdMb3NdCn69hy+pRYVKGVS/1tnsqv4LL7wCCPZZAZPT4aCShHjHJVNuXbmMrY5LeQaGnvAkXlVrJgKRAUdFjrWEah9XebPeQMj7KS7DIBAFt8ycgC5PLGUOHSE3ErGZCiViNLL5ZARfywnCoZaKQCu6NuFX42AEeKtKUGnr/Cm2Cy8tpFhBPMW5Fxi4Qm4TkDWh4IWFDClhU2hRWosUWqcKLlgyXB+lSHaWaHiWlBAR8SeSgSPCQxdVQgzUixWKSTrIQEbU94viDctkvX+VSjJuUmV8L4CXShI11esnp0pjWNZIyxKHS4wVQ2ime1P4RnhvGw0aDN1OLAXGERsB7buFpFGGBAre4QEQR0HOIO5oYH305G+KspT/FupEGGafCCwxSe6ZUa+073rXHnNdVXE6eWvibUS27XtRzkH838mYLMBmYysZTM0EM3A1fbpCBYFccN1B/EnCYu/TgCGmr7bMh8GfYL+BfcLvB0gRagC09w9elfldaIy/hNCBLRgBgtCC7jAF63wLSMAfbfAlEggYU0bUA7ACCJmTDpEmJtI78w4/BO7dN7JR7J7ZvbYaUbaILSQsRBiF3HGk5fEg6p9unwLvn98r+vnsV+372uf1xBLq4qU/45fTuqaAP+pssmCCCTF0mhEow8ZXZOS8D7Q85JsxZ+Azok7B7O/f6J8AzYBySZQB/QHYUSA+EeQhEWiS6AIQzgcsDiER4MjgMBAWDV4AgQ3g1eBgIdweCQmCjJEMkJ+PKRWyFHHmg1Wi/6xzUgA0LREoKJChwnQa9B+5RQZRB3IlBlkAnxyQNaANwHMowzlYSMCBgnbpzvqpl0iTJNCQidDI9ZrSYNIRBhHtUa5YHMHxyGEik9hDE0AKj72AbTCaxtHPUaKZdAZSnQTyjGqGLsmBStCejApUhg4uBMU6mATujEl+KdDPbI6Ag4vLr+hjY6lbjBeoLKnZl0UZgRX8gTySOeynZVz1wOq7e1hFGYIq+MhrGxDLak0PrwYzSXtcuyhXEhwOYofiW+EcI/jw8P6IY6ed+etAbuqKp5QIapT77LnAe505lMuqL79a0ut4rWexzFttsOsLDy7zvtQzcq3U1qabe7tB0wHWVXji+zDbo8x8HyIRUbXnwUcklFv51fvTymiV+MXLSmGH9d9+aXpD5X6lao41anWGig7IwIdnoBY2ht/pO9mClLo4NdXHAsefqWUKlXJkbqPOFhMoR4aiA1BXqhRNbB2Xwi+7u/jpAoOpKJ0UX24EsrzMfHXViakCNcKjBxuQX8BO0ZqjJ3xXzf+61t2VXOSgJ8xu65QKgtN6FibPmPYsXbJRHHqbgATcSZxBqGiDiU4NNNsYBsKD0MIP/OfKnlk/Lkaid/O2NbKeuQrwOB2Gq3YHyr6ALgzym5wIBnsdC1ZkoBFZSQXChZvlesPqvK2c5oHHT3Q65jYpNxnQcGF0EHbvYqoFw60WNlXIHQF2HQB7zD6lWjZ9rVqUKBXUT6hrkZOle0RFYII0V5ZYGl1JAP0Ud1fZZMvSomBzJ710j4Me8mjQDwEre5Uv2wQfk1ifDwb5ksuJQQ3xt423lbuQjvoIQByQrNDh1JxGFkOdlJvu/gFtuW0wR4cgd+ZKesSV7QkNE2kw6AV4hoIuC02LGmTomyf8PiO6CZzOTLTPQ+HW06H+tx+bQ8LmDYg1pTFrp2oJXgkZTyeRJZM0C8aE2LpFrNVDuhARsN543/FV6klQ6Tv1OoZGXLv0igKrl/CmJxRmX7JJbJ998VSIPQRyDBICzl4JJlYHbdql30NvYcOuZ7a10uWRrgoieOdgIm4rlq6vNOQBuqESLbXG5lzdJGHw2m0sDYmODXbYGTfSTGRKpssTO95fothJCjUGQgEL4yKoGAF/0SrpUDNn8CBgBcSDQByAeNkCXp4S4Ro2Xh4OeaGRgR66PVOsU8bc6TR5/xTcn4IVMLOkXSWiXxkZQCbvKfmoAvQaKjO3EDKwkwqHChCDEM5loQRPd5ACBki1TjF772oaQhQbQ5C0lcWXPFOzrfsDGUXGrpxasbG4iab6eByaQkQfm0VFlP0ZsDkvvqCL6QXMUwCjdMx1ZOyKhTJ7a1GWAdOUcJ8RSejxNVyGs31OKMyRyBVoZFjqIkmKlLQ5eHMeEL4MkUf23cQ/1SgRCJ1dk4UdBT7OoyuNgLs0oCd8RnrEIb6QdMxT2QjD4zMrJkfgx5aDMcA4orsTtKCqWb/Veyceqa5OGSmB28YwH4rFbkQaLoUN8OQQYnD3w2eXpI4ScQfbCUZiJ4yMOIKLyyTc7BQ4uXUw6Ee6/xM+4Y67ngNBknxIPwuppgIhFcwJyr6EIj+LzNj/mfR2vhhRlx0BILZoAYruF0caWQ7YxO66UmeguDREAFHYuC7HJviRgVO6ruJH59h/C/PkgSle8xNzZJULLWq9JMDTE2fjGE146a1Us6PZDGYle6ldWRqn/pdpgHKNGrGIdkRK+KPETT9nKT6kLyDI8xd9A1FgWmXWRAIHwZ37WyZHOVyCadJEmMVz0MadMjDrPho+EIochkVC2xgGiwwsQ6DMv2P7UXqT4x7CdcYGId2BJQQa85EQKmCmwcRejQ9Bm4oATENFPkxPXILHpMPUyWTI5rjNOsIlmEeMbcOCEqInpXACYQ9DDxmFo9vcmsDblcMtg4tqBerNngkIKaFJmrQAPnq1dEzsMXcwjcHdfdCibcAxxA+q/j9m3LM/O7WJka4tSidVCjsvo2lQ/2ewyoYyXwAYyr2PlRoR5MpgVmSUIrM3PQxXPbgjBOaDQFIyFMJvx3Pc5RSYj12ySVF9fwFPQu2e2KWVoL9q3Ayv3IzpGHUdvdPdrNUdicjsTQ2ISy7QU3DrEytIjvbzJnAkmANXjAFERA0MUoPF3/5KFmW14bBNOhwircYgMqoDpUMcDtCmBE82QM2YtdjVLB4kBuKho/bcwQdeboqfQartuU3CsCf+cXkgYAqp/0Ee3RorAZt0AvvOCSI4JICIlGlsV0bsSid/NIEALAAzb6HAgyWHBps6xAOwkJIGcB82CxRQq4sJf3FzA70A+TRqcqjEMETCoez3mkPcpnoALs0ugJY8kQwrC+JE5ik3w9rzrvDRjAQnqgEVvdGrNwlanR0SOKWzxOJOvLJhcd8Cl4AshACUkv9czdMkJCVQSQhp6kp7StAlpVRpK0t0SW6LHeBJnE2QchB5Ccu8kxRghZXGIgZIiSj7gEKMJDClcnX6hgoqJMwiQDigIXg3ioFLCgDgjPtYHYpsF5EiA4kcnN18MZtOrY866dEQAb0FB34OGKHGZQjwW/WDHA60cYFaI/PjpzquUqdaYGcIq+mLez3WLFFCtNBN2QJcrlcoELgiPku5R5dSlJFaCEqEZle1AQzAKC+1SotMcBNyQUFuRHRF6OlimSBgjZeTBCwLyc6A+P/oFRchXTz5ADknYJHxzrJ5pGuIKRQISU6WyKTBBjD8WozmVYWIsto1AS5rxzKlvJu4E/vwOiKxRtCWsDM+eTHUrmwrCK5BIfMzGkD+0Fk5LzBs0jMYXktNDblB06LMNJ09U8pzSLmo14MS0OMjcdrZ31pyQqxJJpRImlSvfYAK8inkYU52QY2FPEVsjoWewpwhRp5yAuNpkqhdb7ku9Seefl2D0B8SMTFD90xi4CSOwwZy9IKkpMtI3FmFUg3/kFutpQGNc3pCR7gvC4sgwbupDu3DyEN+W6YGLNM21jpB49irxy9BSlHrVDlnihGKHwPrbVFtc+h1rVQKZduxIyojccZIIcOCmhEnC7UkY68WXKQgLi2JCDQkQWJRQuk60hZp0D3rtCTINSeY9Ej2kIKYfGxwOs4j9qMM7fYZiipzgcf7TamnehqdhsiMiCawXnz4xAbyCkLAx5EGbo3Ax1u3dUIKnTxIaxwQTHehPl3V491H0+bC5zgpGz7Io+mjdhKlPJ01EeMpM7UsRJMi1nGjmJg35i6bQBAAxjO/ENJubU2mg3ONySEoWklCwdABETcs7ck3jgiuU9pcKKpbgn+3YlzV1FzIkB6pmEDOSSyDfPPlQskznctFji0kpgZjW5RZe6x9kYT4KJcXg0bNiCyif+pZACCyRMmYsfiKmN9tSO65F0R2OO6ytlEhY5Sj6uRKfFxw0ijJaAx/k3QgnAFSq27/2i4GEBA+UvTJKK/9eISNvG46Em5RZfjTYLdeD8kdXHyrwId/DQZUaMCY4gGbke2C8vfjgV/Y9kkRQOJIn/xM9INZSpiBnqX0Q9GlQPpPKAyO5y+W5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W/N6l54qOynCqD3DpWQ+mpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE+7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv/8lbTIkkYpqKM9VOhp65ktYk+Q46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI+ejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5+7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu+vtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY/iOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v+6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ/qDQK+bfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam+WpHG+0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3+J1eCBay8IYZ0wQRKGAqvCuZ/UgbQPyllosq+XtfKIZOzmeJqRazpmmoP/76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t/I4Jktu0XSgifO2ozFOiwd/0SssJDn0dn4xqk4GDTTKX73/wQyBLdqgJ+Wx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy/qqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh/wkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml/R4yrzow1Q2A5G+kzo/RhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj/UMMc34IBqTKLDTp76WzL/dMjCxK7MjhiGjeYAC/kj/jY/Rde7hpSM1xChrog6yZ7OWTuD56xBJnGFE+pT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G+9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36/dBySis4m9/DR8izaLJW6bWCkVgm5T+ius3ZXq4xI+GnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te/r4dPYMCl5qtiHNTn+TPbh1jCBHH+dMJNhwNgs3nT+OhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF+uRIWyXjQMAs2chdpaKPNaB+kSezYt0+CA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6/TzoA1/ZBG9bIUVHLAbi/kdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh+epgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF+zkJHIA7PwCDk1gGVmGUZSSoPhNf+Tklauz98QofOlCIQ/tCD4dosHYPqtPCXB3agggQQIqQJsSkB+qn0rkQ1toJjON/OtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU+TQ6NIw3ej+AtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb++W6Uk4q6F7/rg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK+EfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l+wM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l+DMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg+EWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb+Mw76Qy29iQ5up/X7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa/xnsMYcIO/vEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz/Chp/Vlpj2P7jJQmQRwGnltkTV5dbF9fE3/fxoSqTROgq9wFUlbuYzYcasE0ouzBo+dDCDzxKAfhbAZYxQiHrLzV2iVexnDX/QnT1fsT/xuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR+CtGdkPwYN2o7DOw/VGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO/f9Qua+pDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD/prQ84B1pVGkIpVUAHCG+iz3Bn3qm2AVrYcYWhock4jso5+J7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk+UILT7+VoX5mdxxA5fS42gISQVi/HTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8/6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk/wdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt+Su9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ/BfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk/gc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B//lHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO+CvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd/p1gi/07h8qfwHrByuSxglc9cI4QIg2oqvC/qm0i7tjPLTgDhoWTAKDO2ONW5oe+/eKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2/j4ODUwRkqrtBBCrDsDpt8jhZdXoy/1BCqw3sSGhgGGy0a5Jw6BP/TExoCmNFYjZl248A0osgPyGEmRA+fAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd/ocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE/EZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ/Ugd/JZQK8lvAm43uDRAbyW8gZ+ZGq0EVerVGUKUSm/Idn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ+QATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm+oOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724+zUQ7+vkCpZB+pGA562hYQiDxHVWOq0oDQl/QsoiY+cuI7iWq/ZIBtHcXJ7kks+h2fCNUPA82BzjnqktNts+RLdk1VSu+tqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy/44XYXdI5noQoRcvjZ1RMPACRqYg2V1+OwOepcOknRLLFdYgTkT5UApt/JhLM3jeFYprZV+Zow2g8fP+U68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr/A1SY9dXFz4RjzoU9ExfJCmx/I9FKEGT3n2cmzl2X42L3Jh+AbQq6sA+Ss1kitoa4TAYgKHaoybHUDJ51oETdeI/9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB+Un44zExFE4vLytcu5NwpWrUxO/0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL+BDqMyaN3RJPh/anbx+Iv+qgQdAa3M9Z5JmvYlh4qop+Ho1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs+gs37sFvi0PPVvA5dnCBgILTwoKd/+DoL9F6inlM7H4rOTzD79KJgKlZO/Zgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno+gBoKVXgIL/VI8dB1O5o/R3Suez/gD7M781ShjKpIIORM/nxG+jjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4/QftDbEn+AucIr1oxrLabRj9q4ae0+fXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd+eNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz/6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT+mAUmiYbV3YQVqFVp9dorv+TsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp+xJyYLv1OsxQCZwTB4a8BZ/5EdxTBJthApqyfd9u3ifr/WILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj/qn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9+W8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4/YtowhEmTs0vrvlD/CrisnoBNDAcUi/teY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O/4DcgV/dZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk+tgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb/n7qwhvGnrHuf5bX6Vh/n3xffU3PeHdR+FA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E+YbfL0adwNtHP7dT7t7b46DVZIkzaRJOM+S6KcrzYVg+T3wSRFRQashjfU18NutrKa/7PXbtuJvpIjbgPeqd+pjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir/8tNXJ/OsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG+FZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx/GdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD/Qi/EmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4/asthNMK5UQKCOhU97oaOYNGsTah+jfCKsZnTRn5TbhFX8ghg8CBYt/BjeYYYUrtUZ5jVij/op7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM+3SW6Opll/wgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy+QbSKVJcqkia+GvDefFwMOmgnD7h81TUtMn+mRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d/QK7Cr4uoCeOQ7/8JfKT77KiDzLImESHw/0wf73QeHu74hxv7uihi4fTX+XEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo/oVH5ww5OzLFsiTPDns7fS6EURSSWd/92BxMYQ8sBaH+j+wthQPdVgDGpTfi+JQIWMD8xKqULliRH01rTeyF8x8q/GBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE+/7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV/yTDRRP8Y2ww5RO6d2D94o+6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt+kqdae76ViWe3STan69yaF9+fESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw/A1zEdjWquIsQXXGIVEH0thC5M+W9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF+RVmI8L4HUYk4x+67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8/p5qIQrEo/H+1l/0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud+tJUfdaZ4CWNijzZtlRa8+CkmO/EwHYfPZFU/hzjFWH7vnzHRMo+aF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce/+/9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs/GWJS6SwEN/ULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e+G2zor8l+YaMxSEomDdLHGcD6YVQPegTaA74H8+V4WvJkFUrjMLGLlvSZQWvi8/QA7yzQ8GPno//5SJHRP/OqKObPCo81s/+6WgLqykYpGAgQZhVDEBPXWgU/WzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M+GWn6ASobIWC+LbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg/kpf3+CnAXKiMgIE8Jk/Mhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo+RJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B+SkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE+VMd3b1fhCynD0pQNhCG6/WCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp/YbHjo++7/Wj8S4YNa+ZdqAw1hDrKWFXv9+zaXpf8ZTDSbiqsxnwN/CzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m/NCW/HILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO+5EJ7Z6bCiRoPedRZ/P0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn/LvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl+11PoFYnNv2HwAODeNRkHj+8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij+bsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur/eWHjiB7SOVdqMAVmpBvfRiebsFjger7DC+8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l+kXRZ0KLZaGsFSIdQz/HXDxf3/TE30+DgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH+RptvRMVRaahu4cySjS3P5wxAUCPkmn+rhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik/zbrTQk5KmgxCg/f45L0jywebOWUYFJQAJia7XzCV0x89rpp/f3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl+5tfUWZNwBpEPXghzbBggYCw/dhy0ntds2yeHCDKkF/YxQjNIL/F/37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD+qNOhwMlfARQUdJ2tUX+MNJqOwIciWalZsmEjt07tfa8ma4cji9sqz+Q9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe+jGDiNJQLWnfx+drTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf/bkvo8PLVBsZl152y5S8+HRDfZIMCbYZ1WDp4yrdchOJw8k6R+/2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB+M4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5/iYp3ZdrCf7fL+en+sIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv+NRiJc8JAKqqgCA/PNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN/hCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj+bYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5/zBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8/i+jHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2+JrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk+Mz7wwstg6RFZb+TZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm/7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk+9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx+whVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC+XYuqMBMUun5YezKbRKmEPwuK+CLzijPEQgfhahQswBBLfg/GBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX+RCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk/4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug/AbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM+Zu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX/pcsfwXbLze2+D+u33OGBoJyAAL3jn3RuEcdp5If8O+a4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT++tm+haBCikRUUMrMhYKZJKYoVuv/bsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV/DMUxd9uFZmBfKXMCn/SqkWJyKPnT6lq+4zBZni6fYRByJn6OK+OgPBGRAJluwGSk4wxjOOzyce/PKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO/cEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm+bddRQu5F9s0XftGEJ9JSuSk+ZachCbdU45fEqbugzTIUokwoAKvpUQF/CvLbWW5BNQFqFkJg2f30E/48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J+1pT0tLkvFVZaNzfhs/Kd3+A9YsImlO4XK4vpCo/elHQi/9gkFg07xxnuXLt21unCIpDV+bbRxb7FC6nWYTsMFF8+1LUg4JFjVt3vqbuhHmDKbgQ4e+RGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB/KVijd1ARWkFEf3yiUw1v/WaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G+ZManTqDLPjyrOse7WiiwOJCG+J0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj/6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j/N46f+S2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb/0jQbaHJ2YRK8A+ls6WMhWmpCXYG5jqapGs5/eOJErxi2/2KWVHiPellTgh/fNl/2KYPKb7DUcAg+mCOPQFCiU9Mq/WLcU1xxC8aLePFZZlE+PCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh/nFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW+oKFLvpyvTBMM69tN1Ydwv1LIEhHsC+ueVG+w+kyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw+H/AuOx+aH+tBL88H57D0MsqyiZxhOEQkF/8DR1d2hSPMj/sNOa5rxcUnBgH8ictv2J+cb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd/PjMMtQfyDNZsOPd6XcAsnBE/mRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl/XPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG/VanIvcwycVA7+BE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP/MVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX/5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c/F1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J/5wkjpkre727p5PTRX5FGrSBIfJqhJE/IS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug+oRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U/5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7/BQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN+nA7pvF78/RII5ZHA09OAiE/66MF6HQ+qVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe+hXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz+JV/4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB+K3wBP/ineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q/9uocGsx41O4IZhViw/2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY/cQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE/om7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi/caHSM3FPRGRf7dB7YC+cD2ho6oL2zGDCkjlf/DFoQVl8GS/56wur3rdV6ggtzZW60MRB3g+U1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg/gBQIZMG/YcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK/G7F3mUc3GOAKqh60zM0v34v+ELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND+/GTk6M56Ig4yMsU6LUW1EWE+fIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP/IoRIZ/F6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg/RrPD/d3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl+Mu4xf0ezqeXD2PtPDnwMPo86sbwDV+9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD/OwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d/UfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH+14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC+OA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6+vAUUBoGhY3CT2tgwehdPqU/4Q7ZLYvhRl/ogOvR9O2+wkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn/dFSWBWzQ/VYk+Gezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n/yJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET/Hh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j+DXfpi12m1RbzYLg9J2wFergEwOxFyD0/JstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT/cUP6pE/mujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB+HEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu+vqQ02+KpJBjaLt9ye1Ab+BbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC+UwkXOoAjneU/xHplMQo2cXUlrVNqJYczgYlaOEczVCs/OCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38+xsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9+b8fH6+b8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj/0Q7PFUcC8hDrxESWdfgFRm+7vvWbkEppHB4T/1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y+g3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR/Rrs/JLKXgEx+qkmeDlFOD1/yTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW+xz+5FElFxWB28VjYIGZ0Yd+5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ+lT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ+2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1+JpI9psyNYIFuJogZa0/1AhOWdlHQxdAgbwacsHqPZo8u/ngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2+RdM+MAaYaZ0Y/ADkbNCZuAyAVQa2OcXOeICmDn9Q/eFkDeFQg5MgHEDXq/tVjj+jtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2/Bc0UxvseQCO2pQ2i+Krfhu/WeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt/U0Wf+phiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7+ExseJauyqo30hs+1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j/e1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la/QCTiVelFnU6O/GCvykqS/wZJDhKN9gBtSOp/1SP5VRgJcoVj+kmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn+8p6+vBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H+gDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D/GvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P+jAgN5TB3haSifDcApp6yymEi6Ij/GsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x/pChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11/yxyw0UnGig3MFdZklN5FI/qiT65T+jOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5+bqWiAYiAv6Jsf79/VUs4cIl+n6+WOjcgB/2l5TreoAV2717JzZbQIR0W1cl/dEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW/PhoawJDrGAP0JYWHgAVUByo/bGdiv2T2EMg8gsS14/rAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq+SCcTSx5NDtbFwNlh8VhjGGDu7JG5/TAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9+ogD8Kk/W7QoRN1UWPqM4+xdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c+4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS+o3F8YVVeikw13w+OEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX++7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9/O53DYi/5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD+P8sNh6e+XYHJXT/lkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp+pT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS/2ToPjqkaq62/7WFG8advGlRRqxB9diP07JrXowKR9tpRa+jGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq+nsp3YMuXt/GkXxLx/P6+ZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar+gMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud+YlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl/zh575R5rsrmRnKAzq4POFdgbYBuEviM4+LVC15ssLNFghbTtHWerS1hDt5s4qkLUha/qpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI+yjEldJfSo4y0QhG4i4IwkRFGcjWY8+EzgYYJUK7BXQksLxAww/YYWBMhJILB9e8ePEJ4OP7z+4/wOQDl64iOYDp26DaONPxpKtBxq/aTzRGarm3VkPYTLJKx6Z/Mw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ+lPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k/UuGkNpP1DBI5ch/EehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv+J41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI+HYexTUevLUeta4/DqKrbMVS+Yqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ++KkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9/Wx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k/90B8+yRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB/mQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go/n6j0cS+a2gEU8gIHJ+BwfgZX4GL+Bd/gW34FZ+BS/gUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh/F062yJ7AAAAEDAWAAABWhJ+KPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg) format('embedded-opentype'),url(data:application/font-woff;base64,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) format('woff'),url(data:application/x-font-truetype;base64,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) format('truetype'),url(data:image/svg+xml;base64,<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
<font-face units-per-em="1200" ascent="960" descent="-240" />
<missing-glyph horiz-adv-x="500" />
<glyph horiz-adv-x="0" />
<glyph horiz-adv-x="400" />
<glyph unicode=" " />
<glyph unicode="*" d="M600 1100q15 0 34 -1.5t30 -3.5l11 -1q10 -2 17.5 -10.5t7.5 -18.5v-224l158 158q7 7 18 8t19 -6l106 -106q7 -8 6 -19t-8 -18l-158 -158h224q10 0 18.5 -7.5t10.5 -17.5q6 -41 6 -75q0 -15 -1.5 -34t-3.5 -30l-1 -11q-2 -10 -10.5 -17.5t-18.5 -7.5h-224l158 -158 q7 -7 8 -18t-6 -19l-106 -106q-8 -7 -19 -6t-18 8l-158 158v-224q0 -10 -7.5 -18.5t-17.5 -10.5q-41 -6 -75 -6q-15 0 -34 1.5t-30 3.5l-11 1q-10 2 -17.5 10.5t-7.5 18.5v224l-158 -158q-7 -7 -18 -8t-19 6l-106 106q-7 8 -6 19t8 18l158 158h-224q-10 0 -18.5 7.5 t-10.5 17.5q-6 41 -6 75q0 15 1.5 34t3.5 30l1 11q2 10 10.5 17.5t18.5 7.5h224l-158 158q-7 7 -8 18t6 19l106 106q8 7 19 6t18 -8l158 -158v224q0 10 7.5 18.5t17.5 10.5q41 6 75 6z" />
<glyph unicode="+" d="M450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-350h350q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-350v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v350h-350q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5 h350v350q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xa0;" />
<glyph unicode="&#xa5;" d="M825 1100h250q10 0 12.5 -5t-5.5 -13l-364 -364q-6 -6 -11 -18h268q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-100h275q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-174q0 -11 -7.5 -18.5t-18.5 -7.5h-148q-11 0 -18.5 7.5t-7.5 18.5v174 h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h125v100h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h118q-5 12 -11 18l-364 364q-8 8 -5.5 13t12.5 5h250q25 0 43 -18l164 -164q8 -8 18 -8t18 8l164 164q18 18 43 18z" />
<glyph unicode="&#x2000;" horiz-adv-x="650" />
<glyph unicode="&#x2001;" horiz-adv-x="1300" />
<glyph unicode="&#x2002;" horiz-adv-x="650" />
<glyph unicode="&#x2003;" horiz-adv-x="1300" />
<glyph unicode="&#x2004;" horiz-adv-x="433" />
<glyph unicode="&#x2005;" horiz-adv-x="325" />
<glyph unicode="&#x2006;" horiz-adv-x="216" />
<glyph unicode="&#x2007;" horiz-adv-x="216" />
<glyph unicode="&#x2008;" horiz-adv-x="162" />
<glyph unicode="&#x2009;" horiz-adv-x="260" />
<glyph unicode="&#x200a;" horiz-adv-x="72" />
<glyph unicode="&#x202f;" horiz-adv-x="260" />
<glyph unicode="&#x205f;" horiz-adv-x="325" />
<glyph unicode="&#x20ac;" d="M744 1198q242 0 354 -189q60 -104 66 -209h-181q0 45 -17.5 82.5t-43.5 61.5t-58 40.5t-60.5 24t-51.5 7.5q-19 0 -40.5 -5.5t-49.5 -20.5t-53 -38t-49 -62.5t-39 -89.5h379l-100 -100h-300q-6 -50 -6 -100h406l-100 -100h-300q9 -74 33 -132t52.5 -91t61.5 -54.5t59 -29 t47 -7.5q22 0 50.5 7.5t60.5 24.5t58 41t43.5 61t17.5 80h174q-30 -171 -128 -278q-107 -117 -274 -117q-206 0 -324 158q-36 48 -69 133t-45 204h-217l100 100h112q1 47 6 100h-218l100 100h134q20 87 51 153.5t62 103.5q117 141 297 141z" />
<glyph unicode="&#x20bd;" d="M428 1200h350q67 0 120 -13t86 -31t57 -49.5t35 -56.5t17 -64.5t6.5 -60.5t0.5 -57v-16.5v-16.5q0 -36 -0.5 -57t-6.5 -61t-17 -65t-35 -57t-57 -50.5t-86 -31.5t-120 -13h-178l-2 -100h288q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-138v-175q0 -11 -5.5 -18 t-15.5 -7h-149q-10 0 -17.5 7.5t-7.5 17.5v175h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v100h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v475q0 10 7.5 17.5t17.5 7.5zM600 1000v-300h203q64 0 86.5 33t22.5 119q0 84 -22.5 116t-86.5 32h-203z" />
<glyph unicode="&#x2212;" d="M250 700h800q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#x231b;" d="M1000 1200v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-50v-100q0 -91 -49.5 -165.5t-130.5 -109.5q81 -35 130.5 -109.5t49.5 -165.5v-150h50q21 0 35.5 -14.5t14.5 -35.5v-150h-800v150q0 21 14.5 35.5t35.5 14.5h50v150q0 91 49.5 165.5t130.5 109.5q-81 35 -130.5 109.5 t-49.5 165.5v100h-50q-21 0 -35.5 14.5t-14.5 35.5v150h800zM400 1000v-100q0 -60 32.5 -109.5t87.5 -73.5q28 -12 44 -37t16 -55t-16 -55t-44 -37q-55 -24 -87.5 -73.5t-32.5 -109.5v-150h400v150q0 60 -32.5 109.5t-87.5 73.5q-28 12 -44 37t-16 55t16 55t44 37 q55 24 87.5 73.5t32.5 109.5v100h-400z" />
<glyph unicode="&#x25fc;" horiz-adv-x="500" d="M0 0z" />
<glyph unicode="&#x2601;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -206.5q0 -121 -85 -207.5t-205 -86.5h-750q-79 0 -135.5 57t-56.5 137q0 69 42.5 122.5t108.5 67.5q-2 12 -2 37q0 153 108 260.5t260 107.5z" />
<glyph unicode="&#x26fa;" d="M774 1193.5q16 -9.5 20.5 -27t-5.5 -33.5l-136 -187l467 -746h30q20 0 35 -18.5t15 -39.5v-42h-1200v42q0 21 15 39.5t35 18.5h30l468 746l-135 183q-10 16 -5.5 34t20.5 28t34 5.5t28 -20.5l111 -148l112 150q9 16 27 20.5t34 -5zM600 200h377l-182 112l-195 534v-646z " />
<glyph unicode="&#x2709;" d="M25 1100h1150q10 0 12.5 -5t-5.5 -13l-564 -567q-8 -8 -18 -8t-18 8l-564 567q-8 8 -5.5 13t12.5 5zM18 882l264 -264q8 -8 8 -18t-8 -18l-264 -264q-8 -8 -13 -5.5t-5 12.5v550q0 10 5 12.5t13 -5.5zM918 618l264 264q8 8 13 5.5t5 -12.5v-550q0 -10 -5 -12.5t-13 5.5 l-264 264q-8 8 -8 18t8 18zM818 482l364 -364q8 -8 5.5 -13t-12.5 -5h-1150q-10 0 -12.5 5t5.5 13l364 364q8 8 18 8t18 -8l164 -164q8 -8 18 -8t18 8l164 164q8 8 18 8t18 -8z" />
<glyph unicode="&#x270f;" d="M1011 1210q19 0 33 -13l153 -153q13 -14 13 -33t-13 -33l-99 -92l-214 214l95 96q13 14 32 14zM1013 800l-615 -614l-214 214l614 614zM317 96l-333 -112l110 335z" />
<glyph unicode="&#xe001;" d="M700 650v-550h250q21 0 35.5 -14.5t14.5 -35.5v-50h-800v50q0 21 14.5 35.5t35.5 14.5h250v550l-500 550h1200z" />
<glyph unicode="&#xe002;" d="M368 1017l645 163q39 15 63 0t24 -49v-831q0 -55 -41.5 -95.5t-111.5 -63.5q-79 -25 -147 -4.5t-86 75t25.5 111.5t122.5 82q72 24 138 8v521l-600 -155v-606q0 -42 -44 -90t-109 -69q-79 -26 -147 -5.5t-86 75.5t25.5 111.5t122.5 82.5q72 24 138 7v639q0 38 14.5 59 t53.5 34z" />
<glyph unicode="&#xe003;" d="M500 1191q100 0 191 -39t156.5 -104.5t104.5 -156.5t39 -191l-1 -2l1 -5q0 -141 -78 -262l275 -274q23 -26 22.5 -44.5t-22.5 -42.5l-59 -58q-26 -20 -46.5 -20t-39.5 20l-275 274q-119 -77 -261 -77l-5 1l-2 -1q-100 0 -191 39t-156.5 104.5t-104.5 156.5t-39 191 t39 191t104.5 156.5t156.5 104.5t191 39zM500 1022q-88 0 -162 -43t-117 -117t-43 -162t43 -162t117 -117t162 -43t162 43t117 117t43 162t-43 162t-117 117t-162 43z" />
<glyph unicode="&#xe005;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104z" />
<glyph unicode="&#xe006;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429z" />
<glyph unicode="&#xe007;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429zM477 700h-240l197 -142l-74 -226 l193 139l195 -140l-74 229l192 140h-234l-78 211z" />
<glyph unicode="&#xe008;" d="M600 1200q124 0 212 -88t88 -212v-250q0 -46 -31 -98t-69 -52v-75q0 -10 6 -21.5t15 -17.5l358 -230q9 -5 15 -16.5t6 -21.5v-93q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v93q0 10 6 21.5t15 16.5l358 230q9 6 15 17.5t6 21.5v75q-38 0 -69 52 t-31 98v250q0 124 88 212t212 88z" />
<glyph unicode="&#xe009;" d="M25 1100h1150q10 0 17.5 -7.5t7.5 -17.5v-1050q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v1050q0 10 7.5 17.5t17.5 7.5zM100 1000v-100h100v100h-100zM875 1000h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5t17.5 -7.5h550 q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM1000 1000v-100h100v100h-100zM100 800v-100h100v100h-100zM1000 800v-100h100v100h-100zM100 600v-100h100v100h-100zM1000 600v-100h100v100h-100zM875 500h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5 t17.5 -7.5h550q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM100 400v-100h100v100h-100zM1000 400v-100h100v100h-100zM100 200v-100h100v100h-100zM1000 200v-100h100v100h-100z" />
<glyph unicode="&#xe010;" d="M50 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM50 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe011;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM850 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 700h200q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h200 q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5 t35.5 14.5z" />
<glyph unicode="&#xe012;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h700q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe013;" d="M465 477l571 571q8 8 18 8t17 -8l177 -177q8 -7 8 -17t-8 -18l-783 -784q-7 -8 -17.5 -8t-17.5 8l-384 384q-8 8 -8 18t8 17l177 177q7 8 17 8t18 -8l171 -171q7 -7 18 -7t18 7z" />
<glyph unicode="&#xe014;" d="M904 1083l178 -179q8 -8 8 -18.5t-8 -17.5l-267 -268l267 -268q8 -7 8 -17.5t-8 -18.5l-178 -178q-8 -8 -18.5 -8t-17.5 8l-268 267l-268 -267q-7 -8 -17.5 -8t-18.5 8l-178 178q-8 8 -8 18.5t8 17.5l267 268l-267 268q-8 7 -8 17.5t8 18.5l178 178q8 8 18.5 8t17.5 -8 l268 -267l268 268q7 7 17.5 7t18.5 -7z" />
<glyph unicode="&#xe015;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM425 900h150q10 0 17.5 -7.5t7.5 -17.5v-75h75q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5 t-17.5 -7.5h-75v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-75q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v75q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe016;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM325 800h350q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-350q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe017;" d="M550 1200h100q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM800 975v166q167 -62 272 -209.5t105 -331.5q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5 t-184.5 123t-123 184.5t-45.5 224q0 184 105 331.5t272 209.5v-166q-103 -55 -165 -155t-62 -220q0 -116 57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5q0 120 -62 220t-165 155z" />
<glyph unicode="&#xe018;" d="M1025 1200h150q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM725 800h150q10 0 17.5 -7.5t7.5 -17.5v-750q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v750 q0 10 7.5 17.5t17.5 7.5zM425 500h150q10 0 17.5 -7.5t7.5 -17.5v-450q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v450q0 10 7.5 17.5t17.5 7.5zM125 300h150q10 0 17.5 -7.5t7.5 -17.5v-250q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5 v250q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe019;" d="M600 1174q33 0 74 -5l38 -152l5 -1q49 -14 94 -39l5 -2l134 80q61 -48 104 -105l-80 -134l3 -5q25 -44 39 -93l1 -6l152 -38q5 -43 5 -73q0 -34 -5 -74l-152 -38l-1 -6q-15 -49 -39 -93l-3 -5l80 -134q-48 -61 -104 -105l-134 81l-5 -3q-44 -25 -94 -39l-5 -2l-38 -151 q-43 -5 -74 -5q-33 0 -74 5l-38 151l-5 2q-49 14 -94 39l-5 3l-134 -81q-60 48 -104 105l80 134l-3 5q-25 45 -38 93l-2 6l-151 38q-6 42 -6 74q0 33 6 73l151 38l2 6q13 48 38 93l3 5l-80 134q47 61 105 105l133 -80l5 2q45 25 94 39l5 1l38 152q43 5 74 5zM600 815 q-89 0 -152 -63t-63 -151.5t63 -151.5t152 -63t152 63t63 151.5t-63 151.5t-152 63z" />
<glyph unicode="&#xe020;" d="M500 1300h300q41 0 70.5 -29.5t29.5 -70.5v-100h275q10 0 17.5 -7.5t7.5 -17.5v-75h-1100v75q0 10 7.5 17.5t17.5 7.5h275v100q0 41 29.5 70.5t70.5 29.5zM500 1200v-100h300v100h-300zM1100 900v-800q0 -41 -29.5 -70.5t-70.5 -29.5h-700q-41 0 -70.5 29.5t-29.5 70.5 v800h900zM300 800v-700h100v700h-100zM500 800v-700h100v700h-100zM700 800v-700h100v700h-100zM900 800v-700h100v700h-100z" />
<glyph unicode="&#xe021;" d="M18 618l620 608q8 7 18.5 7t17.5 -7l608 -608q8 -8 5.5 -13t-12.5 -5h-175v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v375h-300v-375q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v575h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe022;" d="M600 1200v-400q0 -41 29.5 -70.5t70.5 -29.5h300v-650q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5h450zM1000 800h-250q-21 0 -35.5 14.5t-14.5 35.5v250z" />
<glyph unicode="&#xe023;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h50q10 0 17.5 -7.5t7.5 -17.5v-275h175q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe024;" d="M1300 0h-538l-41 400h-242l-41 -400h-538l431 1200h209l-21 -300h162l-20 300h208zM515 800l-27 -300h224l-27 300h-170z" />
<glyph unicode="&#xe025;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-450h191q20 0 25.5 -11.5t-7.5 -27.5l-327 -400q-13 -16 -32 -16t-32 16l-327 400q-13 16 -7.5 27.5t25.5 11.5h191v450q0 21 14.5 35.5t35.5 14.5zM1125 400h50q10 0 17.5 -7.5t7.5 -17.5v-350q0 -10 -7.5 -17.5t-17.5 -7.5 h-1050q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h50q10 0 17.5 -7.5t7.5 -17.5v-175h900v175q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe026;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -275q-13 -16 -32 -16t-32 16l-223 275q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z " />
<glyph unicode="&#xe027;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM632 914l223 -275q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5l223 275q13 16 32 16 t32 -16z" />
<glyph unicode="&#xe028;" d="M225 1200h750q10 0 19.5 -7t12.5 -17l186 -652q7 -24 7 -49v-425q0 -12 -4 -27t-9 -17q-12 -6 -37 -6h-1100q-12 0 -27 4t-17 8q-6 13 -6 38l1 425q0 25 7 49l185 652q3 10 12.5 17t19.5 7zM878 1000h-556q-10 0 -19 -7t-11 -18l-87 -450q-2 -11 4 -18t16 -7h150 q10 0 19.5 -7t11.5 -17l38 -152q2 -10 11.5 -17t19.5 -7h250q10 0 19.5 7t11.5 17l38 152q2 10 11.5 17t19.5 7h150q10 0 16 7t4 18l-87 450q-2 11 -11 18t-19 7z" />
<glyph unicode="&#xe029;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM540 820l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe030;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-362q0 -10 -7.5 -17.5t-17.5 -7.5h-362q-11 0 -13 5.5t5 12.5l133 133q-109 76 -238 76q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5h150q0 -117 -45.5 -224 t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117z" />
<glyph unicode="&#xe031;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-361q0 -11 -7.5 -18.5t-18.5 -7.5h-361q-11 0 -13 5.5t5 12.5l134 134q-110 75 -239 75q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5h-150q0 117 45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117zM1027 600h150 q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5q-192 0 -348 118l-134 -134q-7 -8 -12.5 -5.5t-5.5 12.5v360q0 11 7.5 18.5t18.5 7.5h360q10 0 12.5 -5.5t-5.5 -12.5l-133 -133q110 -76 240 -76q116 0 214.5 57t155.5 155.5t57 214.5z" />
<glyph unicode="&#xe032;" d="M125 1200h1050q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-1050q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM1075 1000h-850q-10 0 -17.5 -7.5t-7.5 -17.5v-850q0 -10 7.5 -17.5t17.5 -7.5h850q10 0 17.5 7.5t7.5 17.5v850 q0 10 -7.5 17.5t-17.5 7.5zM325 900h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 900h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 700h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 700h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 500h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 500h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 300h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 300h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe033;" d="M900 800v200q0 83 -58.5 141.5t-141.5 58.5h-300q-82 0 -141 -59t-59 -141v-200h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h900q41 0 70.5 29.5t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5h-100zM400 800v150q0 21 15 35.5t35 14.5h200 q20 0 35 -14.5t15 -35.5v-150h-300z" />
<glyph unicode="&#xe034;" d="M125 1100h50q10 0 17.5 -7.5t7.5 -17.5v-1075h-100v1075q0 10 7.5 17.5t17.5 7.5zM1075 1052q4 0 9 -2q16 -6 16 -23v-421q0 -6 -3 -12q-33 -59 -66.5 -99t-65.5 -58t-56.5 -24.5t-52.5 -6.5q-26 0 -57.5 6.5t-52.5 13.5t-60 21q-41 15 -63 22.5t-57.5 15t-65.5 7.5 q-85 0 -160 -57q-7 -5 -15 -5q-6 0 -11 3q-14 7 -14 22v438q22 55 82 98.5t119 46.5q23 2 43 0.5t43 -7t32.5 -8.5t38 -13t32.5 -11q41 -14 63.5 -21t57 -14t63.5 -7q103 0 183 87q7 8 18 8z" />
<glyph unicode="&#xe035;" d="M600 1175q116 0 227 -49.5t192.5 -131t131 -192.5t49.5 -227v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v300q0 127 -70.5 231.5t-184.5 161.5t-245 57t-245 -57t-184.5 -161.5t-70.5 -231.5v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50 q-10 0 -17.5 7.5t-7.5 17.5v300q0 116 49.5 227t131 192.5t192.5 131t227 49.5zM220 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460q0 8 6 14t14 6zM820 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460 q0 8 6 14t14 6z" />
<glyph unicode="&#xe036;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM900 668l120 120q7 7 17 7t17 -7l34 -34q7 -7 7 -17t-7 -17l-120 -120l120 -120q7 -7 7 -17 t-7 -17l-34 -34q-7 -7 -17 -7t-17 7l-120 119l-120 -119q-7 -7 -17 -7t-17 7l-34 34q-7 7 -7 17t7 17l119 120l-119 120q-7 7 -7 17t7 17l34 34q7 8 17 8t17 -8z" />
<glyph unicode="&#xe037;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6 l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238q-6 8 -4.5 18t9.5 17l29 22q7 5 15 5z" />
<glyph unicode="&#xe038;" d="M967 1004h3q11 -1 17 -10q135 -179 135 -396q0 -105 -34 -206.5t-98 -185.5q-7 -9 -17 -10h-3q-9 0 -16 6l-42 34q-8 6 -9 16t5 18q111 150 111 328q0 90 -29.5 176t-84.5 157q-6 9 -5 19t10 16l42 33q7 5 15 5zM321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5 t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238 q-6 8 -4.5 18.5t9.5 16.5l29 22q7 5 15 5z" />
<glyph unicode="&#xe039;" d="M500 900h100v-100h-100v-100h-400v-100h-100v600h500v-300zM1200 700h-200v-100h200v-200h-300v300h-200v300h-100v200h600v-500zM100 1100v-300h300v300h-300zM800 1100v-300h300v300h-300zM300 900h-100v100h100v-100zM1000 900h-100v100h100v-100zM300 500h200v-500 h-500v500h200v100h100v-100zM800 300h200v-100h-100v-100h-200v100h-100v100h100v200h-200v100h300v-300zM100 400v-300h300v300h-300zM300 200h-100v100h100v-100zM1200 200h-100v100h100v-100zM700 0h-100v100h100v-100zM1200 0h-300v100h300v-100z" />
<glyph unicode="&#xe040;" d="M100 200h-100v1000h100v-1000zM300 200h-100v1000h100v-1000zM700 200h-200v1000h200v-1000zM900 200h-100v1000h100v-1000zM1200 200h-200v1000h200v-1000zM400 0h-300v100h300v-100zM600 0h-100v91h100v-91zM800 0h-100v91h100v-91zM1100 0h-200v91h200v-91z" />
<glyph unicode="&#xe041;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe042;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM800 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-56 56l424 426l-700 700h150zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5 t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe043;" d="M300 1200h825q75 0 75 -75v-900q0 -25 -18 -43l-64 -64q-8 -8 -13 -5.5t-5 12.5v950q0 10 -7.5 17.5t-17.5 7.5h-700q-25 0 -43 -18l-64 -64q-8 -8 -5.5 -13t12.5 -5h700q10 0 17.5 -7.5t7.5 -17.5v-950q0 -10 -7.5 -17.5t-17.5 -7.5h-850q-10 0 -17.5 7.5t-7.5 17.5v975 q0 25 18 43l139 139q18 18 43 18z" />
<glyph unicode="&#xe044;" d="M250 1200h800q21 0 35.5 -14.5t14.5 -35.5v-1150l-450 444l-450 -445v1151q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe045;" d="M822 1200h-444q-11 0 -19 -7.5t-9 -17.5l-78 -301q-7 -24 7 -45l57 -108q6 -9 17.5 -15t21.5 -6h450q10 0 21.5 6t17.5 15l62 108q14 21 7 45l-83 301q-1 10 -9 17.5t-19 7.5zM1175 800h-150q-10 0 -21 -6.5t-15 -15.5l-78 -156q-4 -9 -15 -15.5t-21 -6.5h-550 q-10 0 -21 6.5t-15 15.5l-78 156q-4 9 -15 15.5t-21 6.5h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-650q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h750q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5 t7.5 17.5v650q0 10 -7.5 17.5t-17.5 7.5zM850 200h-500q-10 0 -19.5 -7t-11.5 -17l-38 -152q-2 -10 3.5 -17t15.5 -7h600q10 0 15.5 7t3.5 17l-38 152q-2 10 -11.5 17t-19.5 7z" />
<glyph unicode="&#xe046;" d="M500 1100h200q56 0 102.5 -20.5t72.5 -50t44 -59t25 -50.5l6 -20h150q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5h150q2 8 6.5 21.5t24 48t45 61t72 48t102.5 21.5zM900 800v-100 h100v100h-100zM600 730q-95 0 -162.5 -67.5t-67.5 -162.5t67.5 -162.5t162.5 -67.5t162.5 67.5t67.5 162.5t-67.5 162.5t-162.5 67.5zM600 603q43 0 73 -30t30 -73t-30 -73t-73 -30t-73 30t-30 73t30 73t73 30z" />
<glyph unicode="&#xe047;" d="M681 1199l385 -998q20 -50 60 -92q18 -19 36.5 -29.5t27.5 -11.5l10 -2v-66h-417v66q53 0 75 43.5t5 88.5l-82 222h-391q-58 -145 -92 -234q-11 -34 -6.5 -57t25.5 -37t46 -20t55 -6v-66h-365v66q56 24 84 52q12 12 25 30.5t20 31.5l7 13l399 1006h93zM416 521h340 l-162 457z" />
<glyph unicode="&#xe048;" d="M753 641q5 -1 14.5 -4.5t36 -15.5t50.5 -26.5t53.5 -40t50.5 -54.5t35.5 -70t14.5 -87q0 -67 -27.5 -125.5t-71.5 -97.5t-98.5 -66.5t-108.5 -40.5t-102 -13h-500v89q41 7 70.5 32.5t29.5 65.5v827q0 24 -0.5 34t-3.5 24t-8.5 19.5t-17 13.5t-28 12.5t-42.5 11.5v71 l471 -1q57 0 115.5 -20.5t108 -57t80.5 -94t31 -124.5q0 -51 -15.5 -96.5t-38 -74.5t-45 -50.5t-38.5 -30.5zM400 700h139q78 0 130.5 48.5t52.5 122.5q0 41 -8.5 70.5t-29.5 55.5t-62.5 39.5t-103.5 13.5h-118v-350zM400 200h216q80 0 121 50.5t41 130.5q0 90 -62.5 154.5 t-156.5 64.5h-159v-400z" />
<glyph unicode="&#xe049;" d="M877 1200l2 -57q-83 -19 -116 -45.5t-40 -66.5l-132 -839q-9 -49 13 -69t96 -26v-97h-500v97q186 16 200 98l173 832q3 17 3 30t-1.5 22.5t-9 17.5t-13.5 12.5t-21.5 10t-26 8.5t-33.5 10q-13 3 -19 5v57h425z" />
<glyph unicode="&#xe050;" d="M1300 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM175 1000h-75v-800h75l-125 -167l-125 167h75v800h-75l125 167z" />
<glyph unicode="&#xe051;" d="M1100 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-650q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v650h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM1167 50l-167 -125v75h-800v-75l-167 125l167 125v-75h800v75z" />
<glyph unicode="&#xe052;" d="M50 1100h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe053;" d="M250 1100h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM250 500h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe054;" d="M500 950v100q0 21 14.5 35.5t35.5 14.5h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5zM100 650v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000 q-21 0 -35.5 14.5t-14.5 35.5zM300 350v100q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5zM0 50v100q0 21 14.5 35.5t35.5 14.5h1100q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5z" />
<glyph unicode="&#xe055;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe056;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 1100h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 800h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 500h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 500h800q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 200h800 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe057;" d="M400 0h-100v1100h100v-1100zM550 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM267 550l-167 -125v75h-200v100h200v75zM550 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe058;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM900 0h-100v1100h100v-1100zM50 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM1100 600h200v-100h-200v-75l-167 125l167 125v-75zM50 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe059;" d="M75 1000h750q31 0 53 -22t22 -53v-650q0 -31 -22 -53t-53 -22h-750q-31 0 -53 22t-22 53v650q0 31 22 53t53 22zM1200 300l-300 300l300 300v-600z" />
<glyph unicode="&#xe060;" d="M44 1100h1112q18 0 31 -13t13 -31v-1012q0 -18 -13 -31t-31 -13h-1112q-18 0 -31 13t-13 31v1012q0 18 13 31t31 13zM100 1000v-737l247 182l298 -131l-74 156l293 318l236 -288v500h-1000zM342 884q56 0 95 -39t39 -94.5t-39 -95t-95 -39.5t-95 39.5t-39 95t39 94.5 t95 39z" />
<glyph unicode="&#xe062;" d="M648 1169q117 0 216 -60t156.5 -161t57.5 -218q0 -115 -70 -258q-69 -109 -158 -225.5t-143 -179.5l-54 -62q-9 8 -25.5 24.5t-63.5 67.5t-91 103t-98.5 128t-95.5 148q-60 132 -60 249q0 88 34 169.5t91.5 142t137 96.5t166.5 36zM652.5 974q-91.5 0 -156.5 -65 t-65 -157t65 -156.5t156.5 -64.5t156.5 64.5t65 156.5t-65 157t-156.5 65z" />
<glyph unicode="&#xe063;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 173v854q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57z" />
<glyph unicode="&#xe064;" d="M554 1295q21 -72 57.5 -143.5t76 -130t83 -118t82.5 -117t70 -116t49.5 -126t18.5 -136.5q0 -71 -25.5 -135t-68.5 -111t-99 -82t-118.5 -54t-125.5 -23q-84 5 -161.5 34t-139.5 78.5t-99 125t-37 164.5q0 69 18 136.5t49.5 126.5t69.5 116.5t81.5 117.5t83.5 119 t76.5 131t58.5 143zM344 710q-23 -33 -43.5 -70.5t-40.5 -102.5t-17 -123q1 -37 14.5 -69.5t30 -52t41 -37t38.5 -24.5t33 -15q21 -7 32 -1t13 22l6 34q2 10 -2.5 22t-13.5 19q-5 4 -14 12t-29.5 40.5t-32.5 73.5q-26 89 6 271q2 11 -6 11q-8 1 -15 -10z" />
<glyph unicode="&#xe065;" d="M1000 1013l108 115q2 1 5 2t13 2t20.5 -1t25 -9.5t28.5 -21.5q22 -22 27 -43t0 -32l-6 -10l-108 -115zM350 1100h400q50 0 105 -13l-187 -187h-368q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v182l200 200v-332 q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM1009 803l-362 -362l-161 -50l55 170l355 355z" />
<glyph unicode="&#xe066;" d="M350 1100h361q-164 -146 -216 -200h-195q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5l200 153v-103q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M824 1073l339 -301q8 -7 8 -17.5t-8 -17.5l-340 -306q-7 -6 -12.5 -4t-6.5 11v203q-26 1 -54.5 0t-78.5 -7.5t-92 -17.5t-86 -35t-70 -57q10 59 33 108t51.5 81.5t65 58.5t68.5 40.5t67 24.5t56 13.5t40 4.5v210q1 10 6.5 12.5t13.5 -4.5z" />
<glyph unicode="&#xe067;" d="M350 1100h350q60 0 127 -23l-178 -177h-349q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v69l200 200v-219q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M643 639l395 395q7 7 17.5 7t17.5 -7l101 -101q7 -7 7 -17.5t-7 -17.5l-531 -532q-7 -7 -17.5 -7t-17.5 7l-248 248q-7 7 -7 17.5t7 17.5l101 101q7 7 17.5 7t17.5 -7l111 -111q8 -7 18 -7t18 7z" />
<glyph unicode="&#xe068;" d="M318 918l264 264q8 8 18 8t18 -8l260 -264q7 -8 4.5 -13t-12.5 -5h-170v-200h200v173q0 10 5 12t13 -5l264 -260q8 -7 8 -17.5t-8 -17.5l-264 -265q-8 -7 -13 -5t-5 12v173h-200v-200h170q10 0 12.5 -5t-4.5 -13l-260 -264q-8 -8 -18 -8t-18 8l-264 264q-8 8 -5.5 13 t12.5 5h175v200h-200v-173q0 -10 -5 -12t-13 5l-264 265q-8 7 -8 17.5t8 17.5l264 260q8 7 13 5t5 -12v-173h200v200h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe069;" d="M250 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe070;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5 t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe071;" d="M1200 1050v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-492 480q-15 14 -15 35t15 35l492 480q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25z" />
<glyph unicode="&#xe072;" d="M243 1074l814 -498q18 -11 18 -26t-18 -26l-814 -498q-18 -11 -30.5 -4t-12.5 28v1000q0 21 12.5 28t30.5 -4z" />
<glyph unicode="&#xe073;" d="M250 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM650 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe074;" d="M1100 950v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe075;" d="M500 612v438q0 21 10.5 25t25.5 -10l492 -480q15 -14 15 -35t-15 -35l-492 -480q-15 -14 -25.5 -10t-10.5 25v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10z" />
<glyph unicode="&#xe076;" d="M1048 1102l100 1q20 0 35 -14.5t15 -35.5l5 -1000q0 -21 -14.5 -35.5t-35.5 -14.5l-100 -1q-21 0 -35.5 14.5t-14.5 35.5l-2 437l-463 -454q-14 -15 -24.5 -10.5t-10.5 25.5l-2 437l-462 -455q-15 -14 -25.5 -9.5t-10.5 24.5l-5 1000q0 21 10.5 25.5t25.5 -10.5l466 -450 l-2 438q0 20 10.5 24.5t25.5 -9.5l466 -451l-2 438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe077;" d="M850 1100h100q21 0 35.5 -14.5t14.5 -35.5v-1000q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10l464 -453v438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe078;" d="M686 1081l501 -540q15 -15 10.5 -26t-26.5 -11h-1042q-22 0 -26.5 11t10.5 26l501 540q15 15 36 15t36 -15zM150 400h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe079;" d="M885 900l-352 -353l352 -353l-197 -198l-552 552l552 550z" />
<glyph unicode="&#xe080;" d="M1064 547l-551 -551l-198 198l353 353l-353 353l198 198z" />
<glyph unicode="&#xe081;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM650 900h-100q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-150 q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5h150v-150q0 -21 14.5 -35.5t35.5 -14.5h100q21 0 35.5 14.5t14.5 35.5v150h150q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-150v150q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe082;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM850 700h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5 t35.5 -14.5h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe083;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM741.5 913q-12.5 0 -21.5 -9l-120 -120l-120 120q-9 9 -21.5 9 t-21.5 -9l-141 -141q-9 -9 -9 -21.5t9 -21.5l120 -120l-120 -120q-9 -9 -9 -21.5t9 -21.5l141 -141q9 -9 21.5 -9t21.5 9l120 120l120 -120q9 -9 21.5 -9t21.5 9l141 141q9 9 9 21.5t-9 21.5l-120 120l120 120q9 9 9 21.5t-9 21.5l-141 141q-9 9 -21.5 9z" />
<glyph unicode="&#xe084;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM546 623l-84 85q-7 7 -17.5 7t-18.5 -7l-139 -139q-7 -8 -7 -18t7 -18 l242 -241q7 -8 17.5 -8t17.5 8l375 375q7 7 7 17.5t-7 18.5l-139 139q-7 7 -17.5 7t-17.5 -7z" />
<glyph unicode="&#xe085;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM588 941q-29 0 -59 -5.5t-63 -20.5t-58 -38.5t-41.5 -63t-16.5 -89.5 q0 -25 20 -25h131q30 -5 35 11q6 20 20.5 28t45.5 8q20 0 31.5 -10.5t11.5 -28.5q0 -23 -7 -34t-26 -18q-1 0 -13.5 -4t-19.5 -7.5t-20 -10.5t-22 -17t-18.5 -24t-15.5 -35t-8 -46q-1 -8 5.5 -16.5t20.5 -8.5h173q7 0 22 8t35 28t37.5 48t29.5 74t12 100q0 47 -17 83 t-42.5 57t-59.5 34.5t-64 18t-59 4.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe086;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM675 1000h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5 t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5zM675 700h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h75v-200h-75q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h350q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5 t-17.5 7.5h-75v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe087;" d="M525 1200h150q10 0 17.5 -7.5t7.5 -17.5v-194q103 -27 178.5 -102.5t102.5 -178.5h194q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-194q-27 -103 -102.5 -178.5t-178.5 -102.5v-194q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v194 q-103 27 -178.5 102.5t-102.5 178.5h-194q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h194q27 103 102.5 178.5t178.5 102.5v194q0 10 7.5 17.5t17.5 7.5zM700 893v-168q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v168q-68 -23 -119 -74 t-74 -119h168q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-168q23 -68 74 -119t119 -74v168q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-168q68 23 119 74t74 119h-168q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h168 q-23 68 -74 119t-119 74z" />
<glyph unicode="&#xe088;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM759 823l64 -64q7 -7 7 -17.5t-7 -17.5l-124 -124l124 -124q7 -7 7 -17.5t-7 -17.5l-64 -64q-7 -7 -17.5 -7t-17.5 7l-124 124l-124 -124q-7 -7 -17.5 -7t-17.5 7l-64 64 q-7 7 -7 17.5t7 17.5l124 124l-124 124q-7 7 -7 17.5t7 17.5l64 64q7 7 17.5 7t17.5 -7l124 -124l124 124q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe089;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM782 788l106 -106q7 -7 7 -17.5t-7 -17.5l-320 -321q-8 -7 -18 -7t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l197 197q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe090;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5q0 -120 65 -225 l587 587q-105 65 -225 65zM965 819l-584 -584q104 -62 219 -62q116 0 214.5 57t155.5 155.5t57 214.5q0 115 -62 219z" />
<glyph unicode="&#xe091;" d="M39 582l522 427q16 13 27.5 8t11.5 -26v-291h550q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-550v-291q0 -21 -11.5 -26t-27.5 8l-522 427q-16 13 -16 32t16 32z" />
<glyph unicode="&#xe092;" d="M639 1009l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291h-550q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h550v291q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe093;" d="M682 1161l427 -522q13 -16 8 -27.5t-26 -11.5h-291v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v550h-291q-21 0 -26 11.5t8 27.5l427 522q13 16 32 16t32 -16z" />
<glyph unicode="&#xe094;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-550h291q21 0 26 -11.5t-8 -27.5l-427 -522q-13 -16 -32 -16t-32 16l-427 522q-13 16 -8 27.5t26 11.5h291v550q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe095;" d="M639 1109l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291q-94 -2 -182 -20t-170.5 -52t-147 -92.5t-100.5 -135.5q5 105 27 193.5t67.5 167t113 135t167 91.5t225.5 42v262q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe096;" d="M850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5zM350 0h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249 q8 7 18 7t18 -7l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5z" />
<glyph unicode="&#xe097;" d="M1014 1120l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249q8 7 18 7t18 -7zM250 600h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5z" />
<glyph unicode="&#xe101;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM704 900h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5 t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe102;" d="M260 1200q9 0 19 -2t15 -4l5 -2q22 -10 44 -23l196 -118q21 -13 36 -24q29 -21 37 -12q11 13 49 35l196 118q22 13 45 23q17 7 38 7q23 0 47 -16.5t37 -33.5l13 -16q14 -21 18 -45l25 -123l8 -44q1 -9 8.5 -14.5t17.5 -5.5h61q10 0 17.5 -7.5t7.5 -17.5v-50 q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 -7.5t-7.5 -17.5v-175h-400v300h-200v-300h-400v175q0 10 -7.5 17.5t-17.5 7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5h61q11 0 18 3t7 8q0 4 9 52l25 128q5 25 19 45q2 3 5 7t13.5 15t21.5 19.5t26.5 15.5 t29.5 7zM915 1079l-166 -162q-7 -7 -5 -12t12 -5h219q10 0 15 7t2 17l-51 149q-3 10 -11 12t-15 -6zM463 917l-177 157q-8 7 -16 5t-11 -12l-51 -143q-3 -10 2 -17t15 -7h231q11 0 12.5 5t-5.5 12zM500 0h-375q-10 0 -17.5 7.5t-7.5 17.5v375h400v-400zM1100 400v-375 q0 -10 -7.5 -17.5t-17.5 -7.5h-375v400h400z" />
<glyph unicode="&#xe103;" d="M1165 1190q8 3 21 -6.5t13 -17.5q-2 -178 -24.5 -323.5t-55.5 -245.5t-87 -174.5t-102.5 -118.5t-118 -68.5t-118.5 -33t-120 -4.5t-105 9.5t-90 16.5q-61 12 -78 11q-4 1 -12.5 0t-34 -14.5t-52.5 -40.5l-153 -153q-26 -24 -37 -14.5t-11 43.5q0 64 42 102q8 8 50.5 45 t66.5 58q19 17 35 47t13 61q-9 55 -10 102.5t7 111t37 130t78 129.5q39 51 80 88t89.5 63.5t94.5 45t113.5 36t129 31t157.5 37t182 47.5zM1116 1098q-8 9 -22.5 -3t-45.5 -50q-38 -47 -119 -103.5t-142 -89.5l-62 -33q-56 -30 -102 -57t-104 -68t-102.5 -80.5t-85.5 -91 t-64 -104.5q-24 -56 -31 -86t2 -32t31.5 17.5t55.5 59.5q25 30 94 75.5t125.5 77.5t147.5 81q70 37 118.5 69t102 79.5t99 111t86.5 148.5q22 50 24 60t-6 19z" />
<glyph unicode="&#xe104;" d="M653 1231q-39 -67 -54.5 -131t-10.5 -114.5t24.5 -96.5t47.5 -80t63.5 -62.5t68.5 -46.5t65 -30q-4 7 -17.5 35t-18.5 39.5t-17 39.5t-17 43t-13 42t-9.5 44.5t-2 42t4 43t13.5 39t23 38.5q96 -42 165 -107.5t105 -138t52 -156t13 -159t-19 -149.5q-13 -55 -44 -106.5 t-68 -87t-78.5 -64.5t-72.5 -45t-53 -22q-72 -22 -127 -11q-31 6 -13 19q6 3 17 7q13 5 32.5 21t41 44t38.5 63.5t21.5 81.5t-6.5 94.5t-50 107t-104 115.5q10 -104 -0.5 -189t-37 -140.5t-65 -93t-84 -52t-93.5 -11t-95 24.5q-80 36 -131.5 114t-53.5 171q-2 23 0 49.5 t4.5 52.5t13.5 56t27.5 60t46 64.5t69.5 68.5q-8 -53 -5 -102.5t17.5 -90t34 -68.5t44.5 -39t49 -2q31 13 38.5 36t-4.5 55t-29 64.5t-36 75t-26 75.5q-15 85 2 161.5t53.5 128.5t85.5 92.5t93.5 61t81.5 25.5z" />
<glyph unicode="&#xe105;" d="M600 1094q82 0 160.5 -22.5t140 -59t116.5 -82.5t94.5 -95t68 -95t42.5 -82.5t14 -57.5t-14 -57.5t-43 -82.5t-68.5 -95t-94.5 -95t-116.5 -82.5t-140 -59t-159.5 -22.5t-159.5 22.5t-140 59t-116.5 82.5t-94.5 95t-68.5 95t-43 82.5t-14 57.5t14 57.5t42.5 82.5t68 95 t94.5 95t116.5 82.5t140 59t160.5 22.5zM888 829q-15 15 -18 12t5 -22q25 -57 25 -119q0 -124 -88 -212t-212 -88t-212 88t-88 212q0 59 23 114q8 19 4.5 22t-17.5 -12q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q22 -36 47 -71t70 -82t92.5 -81t113 -58.5t133.5 -24.5 t133.5 24t113 58.5t92.5 81.5t70 81.5t47 70.5q11 18 9 42.5t-14 41.5q-90 117 -163 189zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l35 34q14 15 12.5 33.5t-16.5 33.5q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe106;" d="M592 0h-148l31 120q-91 20 -175.5 68.5t-143.5 106.5t-103.5 119t-66.5 110t-22 76q0 21 14 57.5t42.5 82.5t68 95t94.5 95t116.5 82.5t140 59t160.5 22.5q61 0 126 -15l32 121h148zM944 770l47 181q108 -85 176.5 -192t68.5 -159q0 -26 -19.5 -71t-59.5 -102t-93 -112 t-129 -104.5t-158 -75.5l46 173q77 49 136 117t97 131q11 18 9 42.5t-14 41.5q-54 70 -107 130zM310 824q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q18 -30 39 -60t57 -70.5t74 -73t90 -61t105 -41.5l41 154q-107 18 -178.5 101.5t-71.5 193.5q0 59 23 114q8 19 4.5 22 t-17.5 -12zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l12 11l22 86l-3 4q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe107;" d="M-90 100l642 1066q20 31 48 28.5t48 -35.5l642 -1056q21 -32 7.5 -67.5t-50.5 -35.5h-1294q-37 0 -50.5 34t7.5 66zM155 200h345v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h345l-445 723zM496 700h208q20 0 32 -14.5t8 -34.5l-58 -252 q-4 -20 -21.5 -34.5t-37.5 -14.5h-54q-20 0 -37.5 14.5t-21.5 34.5l-58 252q-4 20 8 34.5t32 14.5z" />
<glyph unicode="&#xe108;" d="M650 1200q62 0 106 -44t44 -106v-339l363 -325q15 -14 26 -38.5t11 -44.5v-41q0 -20 -12 -26.5t-29 5.5l-359 249v-263q100 -93 100 -113v-64q0 -21 -13 -29t-32 1l-205 128l-205 -128q-19 -9 -32 -1t-13 29v64q0 20 100 113v263l-359 -249q-17 -12 -29 -5.5t-12 26.5v41 q0 20 11 44.5t26 38.5l363 325v339q0 62 44 106t106 44z" />
<glyph unicode="&#xe109;" d="M850 1200h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-150h-1100v150q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5h100q21 0 35.5 -14.5t14.5 -35.5v-50h500v50q0 21 14.5 35.5t35.5 14.5zM1100 800v-750q0 -21 -14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v750h1100zM100 600v-100h100v100h-100zM300 600v-100h100v100h-100zM500 600v-100h100v100h-100zM700 600v-100h100v100h-100zM900 600v-100h100v100h-100zM100 400v-100h100v100h-100zM300 400v-100h100v100h-100zM500 400 v-100h100v100h-100zM700 400v-100h100v100h-100zM900 400v-100h100v100h-100zM100 200v-100h100v100h-100zM300 200v-100h100v100h-100zM500 200v-100h100v100h-100zM700 200v-100h100v100h-100zM900 200v-100h100v100h-100z" />
<glyph unicode="&#xe110;" d="M1135 1165l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-159l-600 -600h-291q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h209l600 600h241v150q0 21 10.5 25t24.5 -10zM522 819l-141 -141l-122 122h-209q-21 0 -35.5 14.5 t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h291zM1135 565l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-241l-181 181l141 141l122 -122h159v150q0 21 10.5 25t24.5 -10z" />
<glyph unicode="&#xe111;" d="M100 1100h1000q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-596l-304 -300v300h-100q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5z" />
<glyph unicode="&#xe112;" d="M150 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM850 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM1100 800v-300q0 -41 -3 -77.5t-15 -89.5t-32 -96t-58 -89t-89 -77t-129 -51t-174 -20t-174 20 t-129 51t-89 77t-58 89t-32 96t-15 89.5t-3 77.5v300h300v-250v-27v-42.5t1.5 -41t5 -38t10 -35t16.5 -30t25.5 -24.5t35 -19t46.5 -12t60 -4t60 4.5t46.5 12.5t35 19.5t25 25.5t17 30.5t10 35t5 38t2 40.5t-0.5 42v25v250h300z" />
<glyph unicode="&#xe113;" d="M1100 411l-198 -199l-353 353l-353 -353l-197 199l551 551z" />
<glyph unicode="&#xe114;" d="M1101 789l-550 -551l-551 551l198 199l353 -353l353 353z" />
<glyph unicode="&#xe115;" d="M404 1000h746q21 0 35.5 -14.5t14.5 -35.5v-551h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v401h-381zM135 984l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-400h385l215 -200h-750q-21 0 -35.5 14.5 t-14.5 35.5v550h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe116;" d="M56 1200h94q17 0 31 -11t18 -27l38 -162h896q24 0 39 -18.5t10 -42.5l-100 -475q-5 -21 -27 -42.5t-55 -21.5h-633l48 -200h535q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-50q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-300v-50 q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-31q-18 0 -32.5 10t-20.5 19l-5 10l-201 961h-54q-20 0 -35 14.5t-15 35.5t15 35.5t35 14.5z" />
<glyph unicode="&#xe117;" d="M1200 1000v-100h-1200v100h200q0 41 29.5 70.5t70.5 29.5h300q41 0 70.5 -29.5t29.5 -70.5h500zM0 800h1200v-800h-1200v800z" />
<glyph unicode="&#xe118;" d="M200 800l-200 -400v600h200q0 41 29.5 70.5t70.5 29.5h300q42 0 71 -29.5t29 -70.5h500v-200h-1000zM1500 700l-300 -700h-1200l300 700h1200z" />
<glyph unicode="&#xe119;" d="M635 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-601h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v601h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe120;" d="M936 864l249 -229q14 -15 14 -35.5t-14 -35.5l-249 -229q-15 -15 -25.5 -10.5t-10.5 24.5v151h-600v-151q0 -20 -10.5 -24.5t-25.5 10.5l-249 229q-14 15 -14 35.5t14 35.5l249 229q15 15 25.5 10.5t10.5 -25.5v-149h600v149q0 21 10.5 25.5t25.5 -10.5z" />
<glyph unicode="&#xe121;" d="M1169 400l-172 732q-5 23 -23 45.5t-38 22.5h-672q-20 0 -38 -20t-23 -41l-172 -739h1138zM1100 300h-1000q-41 0 -70.5 -29.5t-29.5 -70.5v-100q0 -41 29.5 -70.5t70.5 -29.5h1000q41 0 70.5 29.5t29.5 70.5v100q0 41 -29.5 70.5t-70.5 29.5zM800 100v100h100v-100h-100 zM1000 100v100h100v-100h-100z" />
<glyph unicode="&#xe122;" d="M1150 1100q21 0 35.5 -14.5t14.5 -35.5v-850q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v850q0 21 14.5 35.5t35.5 14.5zM1000 200l-675 200h-38l47 -276q3 -16 -5.5 -20t-29.5 -4h-7h-84q-20 0 -34.5 14t-18.5 35q-55 337 -55 351v250v6q0 16 1 23.5t6.5 14 t17.5 6.5h200l675 250v-850zM0 750v-250q-4 0 -11 0.5t-24 6t-30 15t-24 30t-11 48.5v50q0 26 10.5 46t25 30t29 16t25.5 7z" />
<glyph unicode="&#xe123;" d="M553 1200h94q20 0 29 -10.5t3 -29.5l-18 -37q83 -19 144 -82.5t76 -140.5l63 -327l118 -173h17q19 0 33 -14.5t14 -35t-13 -40.5t-31 -27q-8 -4 -23 -9.5t-65 -19.5t-103 -25t-132.5 -20t-158.5 -9q-57 0 -115 5t-104 12t-88.5 15.5t-73.5 17.5t-54.5 16t-35.5 12l-11 4 q-18 8 -31 28t-13 40.5t14 35t33 14.5h17l118 173l63 327q15 77 76 140t144 83l-18 32q-6 19 3.5 32t28.5 13zM498 110q50 -6 102 -6q53 0 102 6q-12 -49 -39.5 -79.5t-62.5 -30.5t-63 30.5t-39 79.5z" />
<glyph unicode="&#xe124;" d="M800 946l224 78l-78 -224l234 -45l-180 -155l180 -155l-234 -45l78 -224l-224 78l-45 -234l-155 180l-155 -180l-45 234l-224 -78l78 224l-234 45l180 155l-180 155l234 45l-78 224l224 -78l45 234l155 -180l155 180z" />
<glyph unicode="&#xe125;" d="M650 1200h50q40 0 70 -40.5t30 -84.5v-150l-28 -125h328q40 0 70 -40.5t30 -84.5v-100q0 -45 -29 -74l-238 -344q-16 -24 -38 -40.5t-45 -16.5h-250q-7 0 -42 25t-66 50l-31 25h-61q-45 0 -72.5 18t-27.5 57v400q0 36 20 63l145 196l96 198q13 28 37.5 48t51.5 20z M650 1100l-100 -212l-150 -213v-375h100l136 -100h214l250 375v125h-450l50 225v175h-50zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe126;" d="M600 1100h250q23 0 45 -16.5t38 -40.5l238 -344q29 -29 29 -74v-100q0 -44 -30 -84.5t-70 -40.5h-328q28 -118 28 -125v-150q0 -44 -30 -84.5t-70 -40.5h-50q-27 0 -51.5 20t-37.5 48l-96 198l-145 196q-20 27 -20 63v400q0 39 27.5 57t72.5 18h61q124 100 139 100z M50 1000h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM636 1000l-136 -100h-100v-375l150 -213l100 -212h50v175l-50 225h450v125l-250 375h-214z" />
<glyph unicode="&#xe127;" d="M356 873l363 230q31 16 53 -6l110 -112q13 -13 13.5 -32t-11.5 -34l-84 -121h302q84 0 138 -38t54 -110t-55 -111t-139 -39h-106l-131 -339q-6 -21 -19.5 -41t-28.5 -20h-342q-7 0 -90 81t-83 94v525q0 17 14 35.5t28 28.5zM400 792v-503l100 -89h293l131 339 q6 21 19.5 41t28.5 20h203q21 0 30.5 25t0.5 50t-31 25h-456h-7h-6h-5.5t-6 0.5t-5 1.5t-5 2t-4 2.5t-4 4t-2.5 4.5q-12 25 5 47l146 183l-86 83zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe128;" d="M475 1103l366 -230q2 -1 6 -3.5t14 -10.5t18 -16.5t14.5 -20t6.5 -22.5v-525q0 -13 -86 -94t-93 -81h-342q-15 0 -28.5 20t-19.5 41l-131 339h-106q-85 0 -139.5 39t-54.5 111t54 110t138 38h302l-85 121q-11 15 -10.5 34t13.5 32l110 112q22 22 53 6zM370 945l146 -183 q17 -22 5 -47q-2 -2 -3.5 -4.5t-4 -4t-4 -2.5t-5 -2t-5 -1.5t-6 -0.5h-6h-6.5h-6h-475v-100h221q15 0 29 -20t20 -41l130 -339h294l106 89v503l-342 236zM1050 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5 v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe129;" d="M550 1294q72 0 111 -55t39 -139v-106l339 -131q21 -6 41 -19.5t20 -28.5v-342q0 -7 -81 -90t-94 -83h-525q-17 0 -35.5 14t-28.5 28l-9 14l-230 363q-16 31 6 53l112 110q13 13 32 13.5t34 -11.5l121 -84v302q0 84 38 138t110 54zM600 972v203q0 21 -25 30.5t-50 0.5 t-25 -31v-456v-7v-6v-5.5t-0.5 -6t-1.5 -5t-2 -5t-2.5 -4t-4 -4t-4.5 -2.5q-25 -12 -47 5l-183 146l-83 -86l236 -339h503l89 100v293l-339 131q-21 6 -41 19.5t-20 28.5zM450 200h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe130;" d="M350 1100h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5zM600 306v-106q0 -84 -39 -139t-111 -55t-110 54t-38 138v302l-121 -84q-15 -12 -34 -11.5t-32 13.5l-112 110 q-22 22 -6 53l230 363q1 2 3.5 6t10.5 13.5t16.5 17t20 13.5t22.5 6h525q13 0 94 -83t81 -90v-342q0 -15 -20 -28.5t-41 -19.5zM308 900l-236 -339l83 -86l183 146q22 17 47 5q2 -1 4.5 -2.5t4 -4t2.5 -4t2 -5t1.5 -5t0.5 -6v-5.5v-6v-7v-456q0 -22 25 -31t50 0.5t25 30.5 v203q0 15 20 28.5t41 19.5l339 131v293l-89 100h-503z" />
<glyph unicode="&#xe131;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM914 632l-275 223q-16 13 -27.5 8t-11.5 -26v-137h-275 q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h275v-137q0 -21 11.5 -26t27.5 8l275 223q16 13 16 32t-16 32z" />
<glyph unicode="&#xe132;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM561 855l-275 -223q-16 -13 -16 -32t16 -32l275 -223q16 -13 27.5 -8 t11.5 26v137h275q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5h-275v137q0 21 -11.5 26t-27.5 -8z" />
<glyph unicode="&#xe133;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM855 639l-223 275q-13 16 -32 16t-32 -16l-223 -275q-13 -16 -8 -27.5 t26 -11.5h137v-275q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v275h137q21 0 26 11.5t-8 27.5z" />
<glyph unicode="&#xe134;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM675 900h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-275h-137q-21 0 -26 -11.5 t8 -27.5l223 -275q13 -16 32 -16t32 16l223 275q13 16 8 27.5t-26 11.5h-137v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe135;" d="M600 1176q116 0 222.5 -46t184 -123.5t123.5 -184t46 -222.5t-46 -222.5t-123.5 -184t-184 -123.5t-222.5 -46t-222.5 46t-184 123.5t-123.5 184t-46 222.5t46 222.5t123.5 184t184 123.5t222.5 46zM627 1101q-15 -12 -36.5 -20.5t-35.5 -12t-43 -8t-39 -6.5 q-15 -3 -45.5 0t-45.5 -2q-20 -7 -51.5 -26.5t-34.5 -34.5q-3 -11 6.5 -22.5t8.5 -18.5q-3 -34 -27.5 -91t-29.5 -79q-9 -34 5 -93t8 -87q0 -9 17 -44.5t16 -59.5q12 0 23 -5t23.5 -15t19.5 -14q16 -8 33 -15t40.5 -15t34.5 -12q21 -9 52.5 -32t60 -38t57.5 -11 q7 -15 -3 -34t-22.5 -40t-9.5 -38q13 -21 23 -34.5t27.5 -27.5t36.5 -18q0 -7 -3.5 -16t-3.5 -14t5 -17q104 -2 221 112q30 29 46.5 47t34.5 49t21 63q-13 8 -37 8.5t-36 7.5q-15 7 -49.5 15t-51.5 19q-18 0 -41 -0.5t-43 -1.5t-42 -6.5t-38 -16.5q-51 -35 -66 -12 q-4 1 -3.5 25.5t0.5 25.5q-6 13 -26.5 17.5t-24.5 6.5q1 15 -0.5 30.5t-7 28t-18.5 11.5t-31 -21q-23 -25 -42 4q-19 28 -8 58q6 16 22 22q6 -1 26 -1.5t33.5 -4t19.5 -13.5q7 -12 18 -24t21.5 -20.5t20 -15t15.5 -10.5l5 -3q2 12 7.5 30.5t8 34.5t-0.5 32q-3 18 3.5 29 t18 22.5t15.5 24.5q6 14 10.5 35t8 31t15.5 22.5t34 22.5q-6 18 10 36q8 0 24 -1.5t24.5 -1.5t20 4.5t20.5 15.5q-10 23 -31 42.5t-37.5 29.5t-49 27t-43.5 23q0 1 2 8t3 11.5t1.5 10.5t-1 9.5t-4.5 4.5q31 -13 58.5 -14.5t38.5 2.5l12 5q5 28 -9.5 46t-36.5 24t-50 15 t-41 20q-18 -4 -37 0zM613 994q0 -17 8 -42t17 -45t9 -23q-8 1 -39.5 5.5t-52.5 10t-37 16.5q3 11 16 29.5t16 25.5q10 -10 19 -10t14 6t13.5 14.5t16.5 12.5z" />
<glyph unicode="&#xe136;" d="M756 1157q164 92 306 -9l-259 -138l145 -232l251 126q6 -89 -34 -156.5t-117 -110.5q-60 -34 -127 -39.5t-126 16.5l-596 -596q-15 -16 -36.5 -16t-36.5 16l-111 110q-15 15 -15 36.5t15 37.5l600 599q-34 101 5.5 201.5t135.5 154.5z" />
<glyph unicode="&#xe137;" horiz-adv-x="1220" d="M100 1196h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 1096h-200v-100h200v100zM100 796h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 696h-500v-100h500v100zM100 396h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 296h-300v-100h300v100z " />
<glyph unicode="&#xe138;" d="M150 1200h900q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM700 500v-300l-200 -200v500l-350 500h900z" />
<glyph unicode="&#xe139;" d="M500 1200h200q41 0 70.5 -29.5t29.5 -70.5v-100h300q41 0 70.5 -29.5t29.5 -70.5v-400h-500v100h-200v-100h-500v400q0 41 29.5 70.5t70.5 29.5h300v100q0 41 29.5 70.5t70.5 29.5zM500 1100v-100h200v100h-200zM1200 400v-200q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v200h1200z" />
<glyph unicode="&#xe140;" d="M50 1200h300q21 0 25 -10.5t-10 -24.5l-94 -94l199 -199q7 -8 7 -18t-7 -18l-106 -106q-8 -7 -18 -7t-18 7l-199 199l-94 -94q-14 -14 -24.5 -10t-10.5 25v300q0 21 14.5 35.5t35.5 14.5zM850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-199 -199q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l199 199l-94 94q-14 14 -10 24.5t25 10.5zM364 470l106 -106q7 -8 7 -18t-7 -18l-199 -199l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l199 199 q8 7 18 7t18 -7zM1071 271l94 94q14 14 24.5 10t10.5 -25v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -25 10.5t10 24.5l94 94l-199 199q-7 8 -7 18t7 18l106 106q8 7 18 7t18 -7z" />
<glyph unicode="&#xe141;" d="M596 1192q121 0 231.5 -47.5t190 -127t127 -190t47.5 -231.5t-47.5 -231.5t-127 -190.5t-190 -127t-231.5 -47t-231.5 47t-190.5 127t-127 190.5t-47 231.5t47 231.5t127 190t190.5 127t231.5 47.5zM596 1010q-112 0 -207.5 -55.5t-151 -151t-55.5 -207.5t55.5 -207.5 t151 -151t207.5 -55.5t207.5 55.5t151 151t55.5 207.5t-55.5 207.5t-151 151t-207.5 55.5zM454.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38.5 -16.5t-38.5 16.5t-16 39t16 38.5t38.5 16zM754.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38 -16.5q-14 0 -29 10l-55 -145 q17 -23 17 -51q0 -36 -25.5 -61.5t-61.5 -25.5t-61.5 25.5t-25.5 61.5q0 32 20.5 56.5t51.5 29.5l122 126l1 1q-9 14 -9 28q0 23 16 39t38.5 16zM345.5 709q22.5 0 38.5 -16t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16zM854.5 709q22.5 0 38.5 -16 t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16z" />
<glyph unicode="&#xe142;" d="M546 173l469 470q91 91 99 192q7 98 -52 175.5t-154 94.5q-22 4 -47 4q-34 0 -66.5 -10t-56.5 -23t-55.5 -38t-48 -41.5t-48.5 -47.5q-376 -375 -391 -390q-30 -27 -45 -41.5t-37.5 -41t-32 -46.5t-16 -47.5t-1.5 -56.5q9 -62 53.5 -95t99.5 -33q74 0 125 51l548 548 q36 36 20 75q-7 16 -21.5 26t-32.5 10q-26 0 -50 -23q-13 -12 -39 -38l-341 -338q-15 -15 -35.5 -15.5t-34.5 13.5t-14 34.5t14 34.5q327 333 361 367q35 35 67.5 51.5t78.5 16.5q14 0 29 -1q44 -8 74.5 -35.5t43.5 -68.5q14 -47 2 -96.5t-47 -84.5q-12 -11 -32 -32 t-79.5 -81t-114.5 -115t-124.5 -123.5t-123 -119.5t-96.5 -89t-57 -45q-56 -27 -120 -27q-70 0 -129 32t-93 89q-48 78 -35 173t81 163l511 511q71 72 111 96q91 55 198 55q80 0 152 -33q78 -36 129.5 -103t66.5 -154q17 -93 -11 -183.5t-94 -156.5l-482 -476 q-15 -15 -36 -16t-37 14t-17.5 34t14.5 35z" />
<glyph unicode="&#xe143;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104zM896 972q-33 0 -64.5 -19t-56.5 -46t-47.5 -53.5t-43.5 -45.5t-37.5 -19t-36 19t-40 45.5t-43 53.5t-54 46t-65.5 19q-67 0 -122.5 -55.5t-55.5 -132.5q0 -23 13.5 -51t46 -65t57.5 -63t76 -75l22 -22q15 -14 44 -44t50.5 -51t46 -44t41 -35t23 -12 t23.5 12t42.5 36t46 44t52.5 52t44 43q4 4 12 13q43 41 63.5 62t52 55t46 55t26 46t11.5 44q0 79 -53 133.5t-120 54.5z" />
<glyph unicode="&#xe144;" d="M776.5 1214q93.5 0 159.5 -66l141 -141q66 -66 66 -160q0 -42 -28 -95.5t-62 -87.5l-29 -29q-31 53 -77 99l-18 18l95 95l-247 248l-389 -389l212 -212l-105 -106l-19 18l-141 141q-66 66 -66 159t66 159l283 283q65 66 158.5 66zM600 706l105 105q10 -8 19 -17l141 -141 q66 -66 66 -159t-66 -159l-283 -283q-66 -66 -159 -66t-159 66l-141 141q-66 66 -66 159.5t66 159.5l55 55q29 -55 75 -102l18 -17l-95 -95l247 -248l389 389z" />
<glyph unicode="&#xe145;" d="M603 1200q85 0 162 -15t127 -38t79 -48t29 -46v-953q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-41 0 -70.5 29.5t-29.5 70.5v953q0 21 30 46.5t81 48t129 37.5t163 15zM300 1000v-700h600v700h-600zM600 254q-43 0 -73.5 -30.5t-30.5 -73.5t30.5 -73.5t73.5 -30.5t73.5 30.5 t30.5 73.5t-30.5 73.5t-73.5 30.5z" />
<glyph unicode="&#xe146;" d="M902 1185l283 -282q15 -15 15 -36t-14.5 -35.5t-35.5 -14.5t-35 15l-36 35l-279 -267v-300l-212 210l-308 -307l-280 -203l203 280l307 308l-210 212h300l267 279l-35 36q-15 14 -15 35t14.5 35.5t35.5 14.5t35 -15z" />
<glyph unicode="&#xe148;" d="M700 1248v-78q38 -5 72.5 -14.5t75.5 -31.5t71 -53.5t52 -84t24 -118.5h-159q-4 36 -10.5 59t-21 45t-40 35.5t-64.5 20.5v-307l64 -13q34 -7 64 -16.5t70 -32t67.5 -52.5t47.5 -80t20 -112q0 -139 -89 -224t-244 -97v-77h-100v79q-150 16 -237 103q-40 40 -52.5 93.5 t-15.5 139.5h139q5 -77 48.5 -126t117.5 -65v335l-27 8q-46 14 -79 26.5t-72 36t-63 52t-40 72.5t-16 98q0 70 25 126t67.5 92t94.5 57t110 27v77h100zM600 754v274q-29 -4 -50 -11t-42 -21.5t-31.5 -41.5t-10.5 -65q0 -29 7 -50.5t16.5 -34t28.5 -22.5t31.5 -14t37.5 -10 q9 -3 13 -4zM700 547v-310q22 2 42.5 6.5t45 15.5t41.5 27t29 42t12 59.5t-12.5 59.5t-38 44.5t-53 31t-66.5 24.5z" />
<glyph unicode="&#xe149;" d="M561 1197q84 0 160.5 -40t123.5 -109.5t47 -147.5h-153q0 40 -19.5 71.5t-49.5 48.5t-59.5 26t-55.5 9q-37 0 -79 -14.5t-62 -35.5q-41 -44 -41 -101q0 -26 13.5 -63t26.5 -61t37 -66q6 -9 9 -14h241v-100h-197q8 -50 -2.5 -115t-31.5 -95q-45 -62 -99 -112 q34 10 83 17.5t71 7.5q32 1 102 -16t104 -17q83 0 136 30l50 -147q-31 -19 -58 -30.5t-55 -15.5t-42 -4.5t-46 -0.5q-23 0 -76 17t-111 32.5t-96 11.5q-39 -3 -82 -16t-67 -25l-23 -11l-55 145q4 3 16 11t15.5 10.5t13 9t15.5 12t14.5 14t17.5 18.5q48 55 54 126.5 t-30 142.5h-221v100h166q-23 47 -44 104q-7 20 -12 41.5t-6 55.5t6 66.5t29.5 70.5t58.5 71q97 88 263 88z" />
<glyph unicode="&#xe150;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM935 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-900h-200v900h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe151;" d="M1000 700h-100v100h-100v-100h-100v500h300v-500zM400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM801 1100v-200h100v200h-100zM1000 350l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150z " />
<glyph unicode="&#xe152;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 1050l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150zM1000 0h-100v100h-100v-100h-100v500h300v-500zM801 400v-200h100v200h-100z " />
<glyph unicode="&#xe153;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 700h-100v400h-100v100h200v-500zM1100 0h-100v100h-200v400h300v-500zM901 400v-200h100v200h-100z" />
<glyph unicode="&#xe154;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1100 700h-100v100h-200v400h300v-500zM901 1100v-200h100v200h-100zM1000 0h-100v400h-100v100h200v-500z" />
<glyph unicode="&#xe155;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM900 1000h-200v200h200v-200zM1000 700h-300v200h300v-200zM1100 400h-400v200h400v-200zM1200 100h-500v200h500v-200z" />
<glyph unicode="&#xe156;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1200 1000h-500v200h500v-200zM1100 700h-400v200h400v-200zM1000 400h-300v200h300v-200zM900 100h-200v200h200v-200z" />
<glyph unicode="&#xe157;" d="M350 1100h400q162 0 256 -93.5t94 -256.5v-400q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5z" />
<glyph unicode="&#xe158;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-163 0 -256.5 92.5t-93.5 257.5v400q0 163 94 256.5t256 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM440 770l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe159;" d="M350 1100h400q163 0 256.5 -94t93.5 -256v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 163 92.5 256.5t257.5 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM350 700h400q21 0 26.5 -12t-6.5 -28l-190 -253q-12 -17 -30 -17t-30 17l-190 253q-12 16 -6.5 28t26.5 12z" />
<glyph unicode="&#xe160;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -163 -92.5 -256.5t-257.5 -93.5h-400q-163 0 -256.5 94t-93.5 256v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM580 693l190 -253q12 -16 6.5 -28t-26.5 -12h-400q-21 0 -26.5 12t6.5 28l190 253q12 17 30 17t30 -17z" />
<glyph unicode="&#xe161;" d="M550 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h450q41 0 70.5 29.5t29.5 70.5v500q0 41 -29.5 70.5t-70.5 29.5h-450q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM338 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe162;" d="M793 1182l9 -9q8 -10 5 -27q-3 -11 -79 -225.5t-78 -221.5l300 1q24 0 32.5 -17.5t-5.5 -35.5q-1 0 -133.5 -155t-267 -312.5t-138.5 -162.5q-12 -15 -26 -15h-9l-9 8q-9 11 -4 32q2 9 42 123.5t79 224.5l39 110h-302q-23 0 -31 19q-10 21 6 41q75 86 209.5 237.5 t228 257t98.5 111.5q9 16 25 16h9z" />
<glyph unicode="&#xe163;" d="M350 1100h400q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-450q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h450q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400 q0 165 92.5 257.5t257.5 92.5zM938 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe164;" d="M750 1200h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -10.5 -25t-24.5 10l-109 109l-312 -312q-15 -15 -35.5 -15t-35.5 15l-141 141q-15 15 -15 35.5t15 35.5l312 312l-109 109q-14 14 -10 24.5t25 10.5zM456 900h-156q-41 0 -70.5 -29.5t-29.5 -70.5v-500 q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v148l200 200v-298q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5h300z" />
<glyph unicode="&#xe165;" d="M600 1186q119 0 227.5 -46.5t187 -125t125 -187t46.5 -227.5t-46.5 -227.5t-125 -187t-187 -125t-227.5 -46.5t-227.5 46.5t-187 125t-125 187t-46.5 227.5t46.5 227.5t125 187t187 125t227.5 46.5zM600 1022q-115 0 -212 -56.5t-153.5 -153.5t-56.5 -212t56.5 -212 t153.5 -153.5t212 -56.5t212 56.5t153.5 153.5t56.5 212t-56.5 212t-153.5 153.5t-212 56.5zM600 794q80 0 137 -57t57 -137t-57 -137t-137 -57t-137 57t-57 137t57 137t137 57z" />
<glyph unicode="&#xe166;" d="M450 1200h200q21 0 35.5 -14.5t14.5 -35.5v-350h245q20 0 25 -11t-9 -26l-383 -426q-14 -15 -33.5 -15t-32.5 15l-379 426q-13 15 -8.5 26t25.5 11h250v350q0 21 14.5 35.5t35.5 14.5zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe167;" d="M583 1182l378 -435q14 -15 9 -31t-26 -16h-244v-250q0 -20 -17 -35t-39 -15h-200q-20 0 -32 14.5t-12 35.5v250h-250q-20 0 -25.5 16.5t8.5 31.5l383 431q14 16 33.5 17t33.5 -14zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe168;" d="M396 723l369 369q7 7 17.5 7t17.5 -7l139 -139q7 -8 7 -18.5t-7 -17.5l-525 -525q-7 -8 -17.5 -8t-17.5 8l-292 291q-7 8 -7 18t7 18l139 139q8 7 18.5 7t17.5 -7zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50 h-100z" />
<glyph unicode="&#xe169;" d="M135 1023l142 142q14 14 35 14t35 -14l77 -77l-212 -212l-77 76q-14 15 -14 36t14 35zM655 855l210 210q14 14 24.5 10t10.5 -25l-2 -599q-1 -20 -15.5 -35t-35.5 -15l-597 -1q-21 0 -25 10.5t10 24.5l208 208l-154 155l212 212zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5 v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe170;" d="M350 1200l599 -2q20 -1 35 -15.5t15 -35.5l1 -597q0 -21 -10.5 -25t-24.5 10l-208 208l-155 -154l-212 212l155 154l-210 210q-14 14 -10 24.5t25 10.5zM524 512l-76 -77q-15 -14 -36 -14t-35 14l-142 142q-14 14 -14 35t14 35l77 77zM50 300h1000q21 0 35.5 -14.5 t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe171;" d="M1200 103l-483 276l-314 -399v423h-399l1196 796v-1096zM483 424v-230l683 953z" />
<glyph unicode="&#xe172;" d="M1100 1000v-850q0 -21 -14.5 -35.5t-35.5 -14.5h-150v400h-700v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200z" />
<glyph unicode="&#xe173;" d="M1100 1000l-2 -149l-299 -299l-95 95q-9 9 -21.5 9t-21.5 -9l-149 -147h-312v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1132 638l106 -106q7 -7 7 -17.5t-7 -17.5l-420 -421q-8 -7 -18 -7 t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l297 297q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe174;" d="M1100 1000v-269l-103 -103l-134 134q-15 15 -33.5 16.5t-34.5 -12.5l-266 -266h-329v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1202 572l70 -70q15 -15 15 -35.5t-15 -35.5l-131 -131 l131 -131q15 -15 15 -35.5t-15 -35.5l-70 -70q-15 -15 -35.5 -15t-35.5 15l-131 131l-131 -131q-15 -15 -35.5 -15t-35.5 15l-70 70q-15 15 -15 35.5t15 35.5l131 131l-131 131q-15 15 -15 35.5t15 35.5l70 70q15 15 35.5 15t35.5 -15l131 -131l131 131q15 15 35.5 15 t35.5 -15z" />
<glyph unicode="&#xe175;" d="M1100 1000v-300h-350q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-500v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM850 600h100q21 0 35.5 -14.5t14.5 -35.5v-250h150q21 0 25 -10.5t-10 -24.5 l-230 -230q-14 -14 -35 -14t-35 14l-230 230q-14 14 -10 24.5t25 10.5h150v250q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe176;" d="M1100 1000v-400l-165 165q-14 15 -35 15t-35 -15l-263 -265h-402v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM935 565l230 -229q14 -15 10 -25.5t-25 -10.5h-150v-250q0 -20 -14.5 -35 t-35.5 -15h-100q-21 0 -35.5 15t-14.5 35v250h-150q-21 0 -25 10.5t10 25.5l230 229q14 15 35 15t35 -15z" />
<glyph unicode="&#xe177;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-150h-1200v150q0 21 14.5 35.5t35.5 14.5zM1200 800v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v550h1200zM100 500v-200h400v200h-400z" />
<glyph unicode="&#xe178;" d="M935 1165l248 -230q14 -14 14 -35t-14 -35l-248 -230q-14 -14 -24.5 -10t-10.5 25v150h-400v200h400v150q0 21 10.5 25t24.5 -10zM200 800h-50q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v-200zM400 800h-100v200h100v-200zM18 435l247 230 q14 14 24.5 10t10.5 -25v-150h400v-200h-400v-150q0 -21 -10.5 -25t-24.5 10l-247 230q-15 14 -15 35t15 35zM900 300h-100v200h100v-200zM1000 500h51q20 0 34.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-34.5 -14.5h-51v200z" />
<glyph unicode="&#xe179;" d="M862 1073l276 116q25 18 43.5 8t18.5 -41v-1106q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v397q-4 1 -11 5t-24 17.5t-30 29t-24 42t-11 56.5v359q0 31 18.5 65t43.5 52zM550 1200q22 0 34.5 -12.5t14.5 -24.5l1 -13v-450q0 -28 -10.5 -59.5 t-25 -56t-29 -45t-25.5 -31.5l-10 -11v-447q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v447q-4 4 -11 11.5t-24 30.5t-30 46t-24 55t-11 60v450q0 2 0.5 5.5t4 12t8.5 15t14.5 12t22.5 5.5q20 0 32.5 -12.5t14.5 -24.5l3 -13v-350h100v350v5.5t2.5 12 t7 15t15 12t25.5 5.5q23 0 35.5 -12.5t13.5 -24.5l1 -13v-350h100v350q0 2 0.5 5.5t3 12t7 15t15 12t24.5 5.5z" />
<glyph unicode="&#xe180;" d="M1200 1100v-56q-4 0 -11 -0.5t-24 -3t-30 -7.5t-24 -15t-11 -24v-888q0 -22 25 -34.5t50 -13.5l25 -2v-56h-400v56q75 0 87.5 6.5t12.5 43.5v394h-500v-394q0 -37 12.5 -43.5t87.5 -6.5v-56h-400v56q4 0 11 0.5t24 3t30 7.5t24 15t11 24v888q0 22 -25 34.5t-50 13.5 l-25 2v56h400v-56q-75 0 -87.5 -6.5t-12.5 -43.5v-394h500v394q0 37 -12.5 43.5t-87.5 6.5v56h400z" />
<glyph unicode="&#xe181;" d="M675 1000h375q21 0 35.5 -14.5t14.5 -35.5v-150h-105l-295 -98v98l-200 200h-400l100 100h375zM100 900h300q41 0 70.5 -29.5t29.5 -70.5v-500q0 -41 -29.5 -70.5t-70.5 -29.5h-300q-41 0 -70.5 29.5t-29.5 70.5v500q0 41 29.5 70.5t70.5 29.5zM100 800v-200h300v200 h-300zM1100 535l-400 -133v163l400 133v-163zM100 500v-200h300v200h-300zM1100 398v-248q0 -21 -14.5 -35.5t-35.5 -14.5h-375l-100 -100h-375l-100 100h400l200 200h105z" />
<glyph unicode="&#xe182;" d="M17 1007l162 162q17 17 40 14t37 -22l139 -194q14 -20 11 -44.5t-20 -41.5l-119 -118q102 -142 228 -268t267 -227l119 118q17 17 42.5 19t44.5 -12l192 -136q19 -14 22.5 -37.5t-13.5 -40.5l-163 -162q-3 -1 -9.5 -1t-29.5 2t-47.5 6t-62.5 14.5t-77.5 26.5t-90 42.5 t-101.5 60t-111 83t-119 108.5q-74 74 -133.5 150.5t-94.5 138.5t-60 119.5t-34.5 100t-15 74.5t-4.5 48z" />
<glyph unicode="&#xe183;" d="M600 1100q92 0 175 -10.5t141.5 -27t108.5 -36.5t81.5 -40t53.5 -37t31 -27l9 -10v-200q0 -21 -14.5 -33t-34.5 -9l-202 34q-20 3 -34.5 20t-14.5 38v146q-141 24 -300 24t-300 -24v-146q0 -21 -14.5 -38t-34.5 -20l-202 -34q-20 -3 -34.5 9t-14.5 33v200q3 4 9.5 10.5 t31 26t54 37.5t80.5 39.5t109 37.5t141 26.5t175 10.5zM600 795q56 0 97 -9.5t60 -23.5t30 -28t12 -24l1 -10v-50l365 -303q14 -15 24.5 -40t10.5 -45v-212q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v212q0 20 10.5 45t24.5 40l365 303v50 q0 4 1 10.5t12 23t30 29t60 22.5t97 10z" />
<glyph unicode="&#xe184;" d="M1100 700l-200 -200h-600l-200 200v500h200v-200h200v200h200v-200h200v200h200v-500zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5 t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe185;" d="M700 1100h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-1000h300v1000q0 41 -29.5 70.5t-70.5 29.5zM1100 800h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-700h300v700q0 41 -29.5 70.5t-70.5 29.5zM400 0h-300v400q0 41 29.5 70.5t70.5 29.5h100q41 0 70.5 -29.5t29.5 -70.5v-400z " />
<glyph unicode="&#xe186;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe187;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 300h-100v200h-100v-200h-100v500h100v-200h100v200h100v-500zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe188;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-300h200v-100h-300v500h300v-100zM900 700h-200v-300h200v-100h-300v500h300v-100z" />
<glyph unicode="&#xe189;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 400l-300 150l300 150v-300zM900 550l-300 -150v300z" />
<glyph unicode="&#xe190;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM900 300h-700v500h700v-500zM800 700h-130q-38 0 -66.5 -43t-28.5 -108t27 -107t68 -42h130v300zM300 700v-300 h130q41 0 68 42t27 107t-28.5 108t-66.5 43h-130z" />
<glyph unicode="&#xe191;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 300h-100v400h-100v100h200v-500z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe192;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM300 700h200v-400h-300v500h100v-100zM900 300h-100v400h-100v100h200v-500zM300 600v-200h100v200h-100z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe193;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 500l-199 -200h-100v50l199 200v150h-200v100h300v-300zM900 300h-100v400h-100v100h200v-500zM701 300h-100 v100h100v-100z" />
<glyph unicode="&#xe194;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700h-300v-200h300v-100h-300l-100 100v200l100 100h300v-100z" />
<glyph unicode="&#xe195;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700v-100l-50 -50l100 -100v-50h-100l-100 100h-150v-100h-100v400h300zM500 700v-100h200v100h-200z" />
<glyph unicode="&#xe197;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -207t-85 -207t-205 -86.5h-128v250q0 21 -14.5 35.5t-35.5 14.5h-300q-21 0 -35.5 -14.5t-14.5 -35.5v-250h-222q-80 0 -136 57.5t-56 136.5q0 69 43 122.5t108 67.5q-2 19 -2 37q0 100 49 185 t134 134t185 49zM525 500h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -244q-13 -16 -32 -16t-32 16l-223 244q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe198;" d="M502 1089q110 0 201 -59.5t135 -156.5q43 15 89 15q121 0 206 -86.5t86 -206.5q0 -99 -60 -181t-150 -110l-378 360q-13 16 -31.5 16t-31.5 -16l-381 -365h-9q-79 0 -135.5 57.5t-56.5 136.5q0 69 43 122.5t108 67.5q-2 19 -2 38q0 100 49 184.5t133.5 134t184.5 49.5z M632 467l223 -228q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5q199 204 223 228q19 19 31.5 19t32.5 -19z" />
<glyph unicode="&#xe199;" d="M700 100v100h400l-270 300h170l-270 300h170l-300 333l-300 -333h170l-270 -300h170l-270 -300h400v-100h-50q-21 0 -35.5 -14.5t-14.5 -35.5v-50h400v50q0 21 -14.5 35.5t-35.5 14.5h-50z" />
<glyph unicode="&#xe200;" d="M600 1179q94 0 167.5 -56.5t99.5 -145.5q89 -6 150.5 -71.5t61.5 -155.5q0 -61 -29.5 -112.5t-79.5 -82.5q9 -29 9 -55q0 -74 -52.5 -126.5t-126.5 -52.5q-55 0 -100 30v-251q21 0 35.5 -14.5t14.5 -35.5v-50h-300v50q0 21 14.5 35.5t35.5 14.5v251q-45 -30 -100 -30 q-74 0 -126.5 52.5t-52.5 126.5q0 18 4 38q-47 21 -75.5 65t-28.5 97q0 74 52.5 126.5t126.5 52.5q5 0 23 -2q0 2 -1 10t-1 13q0 116 81.5 197.5t197.5 81.5z" />
<glyph unicode="&#xe201;" d="M1010 1010q111 -111 150.5 -260.5t0 -299t-150.5 -260.5q-83 -83 -191.5 -126.5t-218.5 -43.5t-218.5 43.5t-191.5 126.5q-111 111 -150.5 260.5t0 299t150.5 260.5q83 83 191.5 126.5t218.5 43.5t218.5 -43.5t191.5 -126.5zM476 1065q-4 0 -8 -1q-121 -34 -209.5 -122.5 t-122.5 -209.5q-4 -12 2.5 -23t18.5 -14l36 -9q3 -1 7 -1q23 0 29 22q27 96 98 166q70 71 166 98q11 3 17.5 13.5t3.5 22.5l-9 35q-3 13 -14 19q-7 4 -15 4zM512 920q-4 0 -9 -2q-80 -24 -138.5 -82.5t-82.5 -138.5q-4 -13 2 -24t19 -14l34 -9q4 -1 8 -1q22 0 28 21 q18 58 58.5 98.5t97.5 58.5q12 3 18 13.5t3 21.5l-9 35q-3 12 -14 19q-7 4 -15 4zM719.5 719.5q-49.5 49.5 -119.5 49.5t-119.5 -49.5t-49.5 -119.5t49.5 -119.5t119.5 -49.5t119.5 49.5t49.5 119.5t-49.5 119.5zM855 551q-22 0 -28 -21q-18 -58 -58.5 -98.5t-98.5 -57.5 q-11 -4 -17 -14.5t-3 -21.5l9 -35q3 -12 14 -19q7 -4 15 -4q4 0 9 2q80 24 138.5 82.5t82.5 138.5q4 13 -2.5 24t-18.5 14l-34 9q-4 1 -8 1zM1000 515q-23 0 -29 -22q-27 -96 -98 -166q-70 -71 -166 -98q-11 -3 -17.5 -13.5t-3.5 -22.5l9 -35q3 -13 14 -19q7 -4 15 -4 q4 0 8 1q121 34 209.5 122.5t122.5 209.5q4 12 -2.5 23t-18.5 14l-36 9q-3 1 -7 1z" />
<glyph unicode="&#xe202;" d="M700 800h300v-380h-180v200h-340v-200h-380v755q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM700 300h162l-212 -212l-212 212h162v200h100v-200zM520 0h-395q-10 0 -17.5 7.5t-7.5 17.5v395zM1000 220v-195q0 -10 -7.5 -17.5t-17.5 -7.5h-195z" />
<glyph unicode="&#xe203;" d="M700 800h300v-520l-350 350l-550 -550v1095q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM862 200h-162v-200h-100v200h-162l212 212zM480 0h-355q-10 0 -17.5 7.5t-7.5 17.5v55h380v-80zM1000 80v-55q0 -10 -7.5 -17.5t-17.5 -7.5h-155v80h180z" />
<glyph unicode="&#xe204;" d="M1162 800h-162v-200h100l100 -100h-300v300h-162l212 212zM200 800h200q27 0 40 -2t29.5 -10.5t23.5 -30t7 -57.5h300v-100h-600l-200 -350v450h100q0 36 7 57.5t23.5 30t29.5 10.5t40 2zM800 400h240l-240 -400h-800l300 500h500v-100z" />
<glyph unicode="&#xe205;" d="M650 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM1000 850v150q41 0 70.5 -29.5t29.5 -70.5v-800 q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-1 0 -20 4l246 246l-326 326v324q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM412 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe206;" d="M450 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM800 850v150q41 0 70.5 -29.5t29.5 -70.5v-500 h-200v-300h200q0 -36 -7 -57.5t-23.5 -30t-29.5 -10.5t-40 -2h-600q-41 0 -70.5 29.5t-29.5 70.5v800q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM1212 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe209;" d="M658 1197l637 -1104q23 -38 7 -65.5t-60 -27.5h-1276q-44 0 -60 27.5t7 65.5l637 1104q22 39 54 39t54 -39zM704 800h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM500 300v-100h200 v100h-200z" />
<glyph unicode="&#xe210;" d="M425 1100h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM825 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM25 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5zM425 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5 v150q0 10 7.5 17.5t17.5 7.5zM25 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe211;" d="M700 1200h100v-200h-100v-100h350q62 0 86.5 -39.5t-3.5 -94.5l-66 -132q-41 -83 -81 -134h-772q-40 51 -81 134l-66 132q-28 55 -3.5 94.5t86.5 39.5h350v100h-100v200h100v100h200v-100zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100 h-950l138 100h-13q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe212;" d="M600 1300q40 0 68.5 -29.5t28.5 -70.5h-194q0 41 28.5 70.5t68.5 29.5zM443 1100h314q18 -37 18 -75q0 -8 -3 -25h328q41 0 44.5 -16.5t-30.5 -38.5l-175 -145h-678l-178 145q-34 22 -29 38.5t46 16.5h328q-3 17 -3 25q0 38 18 75zM250 700h700q21 0 35.5 -14.5 t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-150v-200l275 -200h-950l275 200v200h-150q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe213;" d="M600 1181q75 0 128 -53t53 -128t-53 -128t-128 -53t-128 53t-53 128t53 128t128 53zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13 l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe214;" d="M600 1300q47 0 92.5 -53.5t71 -123t25.5 -123.5q0 -78 -55.5 -133.5t-133.5 -55.5t-133.5 55.5t-55.5 133.5q0 62 34 143l144 -143l111 111l-163 163q34 26 63 26zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45 zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe215;" d="M600 1200l300 -161v-139h-300q0 -57 18.5 -108t50 -91.5t63 -72t70 -67.5t57.5 -61h-530q-60 83 -90.5 177.5t-30.5 178.5t33 164.5t87.5 139.5t126 96.5t145.5 41.5v-98zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100 h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe216;" d="M600 1300q41 0 70.5 -29.5t29.5 -70.5v-78q46 -26 73 -72t27 -100v-50h-400v50q0 54 27 100t73 72v78q0 41 29.5 70.5t70.5 29.5zM400 800h400q54 0 100 -27t72 -73h-172v-100h200v-100h-200v-100h200v-100h-200v-100h200q0 -83 -58.5 -141.5t-141.5 -58.5h-400 q-83 0 -141.5 58.5t-58.5 141.5v400q0 83 58.5 141.5t141.5 58.5z" />
<glyph unicode="&#xe218;" d="M150 1100h900q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM125 400h950q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-283l224 -224q13 -13 13 -31.5t-13 -32 t-31.5 -13.5t-31.5 13l-88 88h-524l-87 -88q-13 -13 -32 -13t-32 13.5t-13 32t13 31.5l224 224h-289q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM541 300l-100 -100h324l-100 100h-124z" />
<glyph unicode="&#xe219;" d="M200 1100h800q83 0 141.5 -58.5t58.5 -141.5v-200h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100v200q0 83 58.5 141.5t141.5 58.5zM100 600h1000q41 0 70.5 -29.5 t29.5 -70.5v-300h-1200v300q0 41 29.5 70.5t70.5 29.5zM300 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200zM1100 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200z" />
<glyph unicode="&#xe221;" d="M480 1165l682 -683q31 -31 31 -75.5t-31 -75.5l-131 -131h-481l-517 518q-32 31 -32 75.5t32 75.5l295 296q31 31 75.5 31t76.5 -31zM108 794l342 -342l303 304l-341 341zM250 100h800q21 0 35.5 -14.5t14.5 -35.5v-50h-900v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe223;" d="M1057 647l-189 506q-8 19 -27.5 33t-40.5 14h-400q-21 0 -40.5 -14t-27.5 -33l-189 -506q-8 -19 1.5 -33t30.5 -14h625v-150q0 -21 14.5 -35.5t35.5 -14.5t35.5 14.5t14.5 35.5v150h125q21 0 30.5 14t1.5 33zM897 0h-595v50q0 21 14.5 35.5t35.5 14.5h50v50 q0 21 14.5 35.5t35.5 14.5h48v300h200v-300h47q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-50z" />
<glyph unicode="&#xe224;" d="M900 800h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-375v591l-300 300v84q0 10 7.5 17.5t17.5 7.5h375v-400zM1200 900h-200v200zM400 600h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-650q-10 0 -17.5 7.5t-7.5 17.5v950q0 10 7.5 17.5t17.5 7.5h375v-400zM700 700h-200v200z " />
<glyph unicode="&#xe225;" d="M484 1095h195q75 0 146 -32.5t124 -86t89.5 -122.5t48.5 -142q18 -14 35 -20q31 -10 64.5 6.5t43.5 48.5q10 34 -15 71q-19 27 -9 43q5 8 12.5 11t19 -1t23.5 -16q41 -44 39 -105q-3 -63 -46 -106.5t-104 -43.5h-62q-7 -55 -35 -117t-56 -100l-39 -234q-3 -20 -20 -34.5 t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l12 70q-49 -14 -91 -14h-195q-24 0 -65 8l-11 -64q-3 -20 -20 -34.5t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l26 157q-84 74 -128 175l-159 53q-19 7 -33 26t-14 40v50q0 21 14.5 35.5t35.5 14.5h124q11 87 56 166l-111 95 q-16 14 -12.5 23.5t24.5 9.5h203q116 101 250 101zM675 1000h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h250q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe226;" d="M641 900l423 247q19 8 42 2.5t37 -21.5l32 -38q14 -15 12.5 -36t-17.5 -34l-139 -120h-390zM50 1100h106q67 0 103 -17t66 -71l102 -212h823q21 0 35.5 -14.5t14.5 -35.5v-50q0 -21 -14 -40t-33 -26l-737 -132q-23 -4 -40 6t-26 25q-42 67 -100 67h-300q-62 0 -106 44 t-44 106v200q0 62 44 106t106 44zM173 928h-80q-19 0 -28 -14t-9 -35v-56q0 -51 42 -51h134q16 0 21.5 8t5.5 24q0 11 -16 45t-27 51q-18 28 -43 28zM550 727q-32 0 -54.5 -22.5t-22.5 -54.5t22.5 -54.5t54.5 -22.5t54.5 22.5t22.5 54.5t-22.5 54.5t-54.5 22.5zM130 389 l152 130q18 19 34 24t31 -3.5t24.5 -17.5t25.5 -28q28 -35 50.5 -51t48.5 -13l63 5l48 -179q13 -61 -3.5 -97.5t-67.5 -79.5l-80 -69q-47 -40 -109 -35.5t-103 51.5l-130 151q-40 47 -35.5 109.5t51.5 102.5zM380 377l-102 -88q-31 -27 2 -65l37 -43q13 -15 27.5 -19.5 t31.5 6.5l61 53q19 16 14 49q-2 20 -12 56t-17 45q-11 12 -19 14t-23 -8z" />
<glyph unicode="&#xe227;" d="M625 1200h150q10 0 17.5 -7.5t7.5 -17.5v-109q79 -33 131 -87.5t53 -128.5q1 -46 -15 -84.5t-39 -61t-46 -38t-39 -21.5l-17 -6q6 0 15 -1.5t35 -9t50 -17.5t53 -30t50 -45t35.5 -64t14.5 -84q0 -59 -11.5 -105.5t-28.5 -76.5t-44 -51t-49.5 -31.5t-54.5 -16t-49.5 -6.5 t-43.5 -1v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-100v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-175q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v600h-75q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5h175v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h100v75q0 10 7.5 17.5t17.5 7.5zM400 900v-200h263q28 0 48.5 10.5t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-263zM400 500v-200h363q28 0 48.5 10.5 t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-363z" />
<glyph unicode="&#xe230;" d="M212 1198h780q86 0 147 -61t61 -147v-416q0 -51 -18 -142.5t-36 -157.5l-18 -66q-29 -87 -93.5 -146.5t-146.5 -59.5h-572q-82 0 -147 59t-93 147q-8 28 -20 73t-32 143.5t-20 149.5v416q0 86 61 147t147 61zM600 1045q-70 0 -132.5 -11.5t-105.5 -30.5t-78.5 -41.5 t-57 -45t-36 -41t-20.5 -30.5l-6 -12l156 -243h560l156 243q-2 5 -6 12.5t-20 29.5t-36.5 42t-57 44.5t-79 42t-105 29.5t-132.5 12zM762 703h-157l195 261z" />
<glyph unicode="&#xe231;" d="M475 1300h150q103 0 189 -86t86 -189v-500q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe232;" d="M475 1300h96q0 -150 89.5 -239.5t239.5 -89.5v-446q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe233;" d="M1294 767l-638 -283l-378 170l-78 -60v-224l100 -150v-199l-150 148l-150 -149v200l100 150v250q0 4 -0.5 10.5t0 9.5t1 8t3 8t6.5 6l47 40l-147 65l642 283zM1000 380l-350 -166l-350 166v147l350 -165l350 165v-147z" />
<glyph unicode="&#xe234;" d="M250 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM650 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM1050 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe235;" d="M550 1100q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 700q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 300q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe236;" d="M125 1100h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM125 700h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM125 300h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe237;" d="M350 1200h500q162 0 256 -93.5t94 -256.5v-500q0 -165 -93.5 -257.5t-256.5 -92.5h-500q-165 0 -257.5 92.5t-92.5 257.5v500q0 165 92.5 257.5t257.5 92.5zM900 1000h-600q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h600q41 0 70.5 29.5 t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5zM350 900h500q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-500q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 14.5 35.5t35.5 14.5zM400 800v-200h400v200h-400z" />
<glyph unicode="&#xe238;" d="M150 1100h1000q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe239;" d="M650 1187q87 -67 118.5 -156t0 -178t-118.5 -155q-87 66 -118.5 155t0 178t118.5 156zM300 800q124 0 212 -88t88 -212q-124 0 -212 88t-88 212zM1000 800q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM300 500q124 0 212 -88t88 -212q-124 0 -212 88t-88 212z M1000 500q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM700 199v-144q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v142q40 -4 43 -4q17 0 57 6z" />
<glyph unicode="&#xe240;" d="M745 878l69 19q25 6 45 -12l298 -295q11 -11 15 -26.5t-2 -30.5q-5 -14 -18 -23.5t-28 -9.5h-8q1 0 1 -13q0 -29 -2 -56t-8.5 -62t-20 -63t-33 -53t-51 -39t-72.5 -14h-146q-184 0 -184 288q0 24 10 47q-20 4 -62 4t-63 -4q11 -24 11 -47q0 -288 -184 -288h-142 q-48 0 -84.5 21t-56 51t-32 71.5t-16 75t-3.5 68.5q0 13 2 13h-7q-15 0 -27.5 9.5t-18.5 23.5q-6 15 -2 30.5t15 25.5l298 296q20 18 46 11l76 -19q20 -5 30.5 -22.5t5.5 -37.5t-22.5 -31t-37.5 -5l-51 12l-182 -193h891l-182 193l-44 -12q-20 -5 -37.5 6t-22.5 31t6 37.5 t31 22.5z" />
<glyph unicode="&#xe241;" d="M1200 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM500 450h-25q0 15 -4 24.5t-9 14.5t-17 7.5t-20 3t-25 0.5h-100v-425q0 -11 12.5 -17.5t25.5 -7.5h12v-50h-200v50q50 0 50 25v425h-100q-17 0 -25 -0.5t-20 -3t-17 -7.5t-9 -14.5t-4 -24.5h-25v150h500v-150z" />
<glyph unicode="&#xe242;" d="M1000 300v50q-25 0 -55 32q-14 14 -25 31t-16 27l-4 11l-289 747h-69l-300 -754q-18 -35 -39 -56q-9 -9 -24.5 -18.5t-26.5 -14.5l-11 -5v-50h273v50q-49 0 -78.5 21.5t-11.5 67.5l69 176h293l61 -166q13 -34 -3.5 -66.5t-55.5 -32.5v-50h312zM412 691l134 342l121 -342 h-255zM1100 150v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe243;" d="M50 1200h1100q21 0 35.5 -14.5t14.5 -35.5v-1100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5zM611 1118h-70q-13 0 -18 -12l-299 -753q-17 -32 -35 -51q-18 -18 -56 -34q-12 -5 -12 -18v-50q0 -8 5.5 -14t14.5 -6 h273q8 0 14 6t6 14v50q0 8 -6 14t-14 6q-55 0 -71 23q-10 14 0 39l63 163h266l57 -153q11 -31 -6 -55q-12 -17 -36 -17q-8 0 -14 -6t-6 -14v-50q0 -8 6 -14t14 -6h313q8 0 14 6t6 14v50q0 7 -5.5 13t-13.5 7q-17 0 -42 25q-25 27 -40 63h-1l-288 748q-5 12 -19 12zM639 611 h-197l103 264z" />
<glyph unicode="&#xe244;" d="M1200 1100h-1200v100h1200v-100zM50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 1000h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM700 900v-300h300v300h-300z" />
<glyph unicode="&#xe245;" d="M50 1200h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 700h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM700 600v-300h300v300h-300zM1200 0h-1200v100h1200v-100z" />
<glyph unicode="&#xe246;" d="M50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-350h100v150q0 21 14.5 35.5t35.5 14.5h400q21 0 35.5 -14.5t14.5 -35.5v-150h100v-100h-100v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v150h-100v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM700 700v-300h300v300h-300z" />
<glyph unicode="&#xe247;" d="M100 0h-100v1200h100v-1200zM250 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM300 1000v-300h300v300h-300zM250 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe248;" d="M600 1100h150q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-100h450q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h350v100h-150q-21 0 -35.5 14.5 t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h150v100h100v-100zM400 1000v-300h300v300h-300z" />
<glyph unicode="&#xe249;" d="M1200 0h-100v1200h100v-1200zM550 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM600 1000v-300h300v300h-300zM50 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe250;" d="M865 565l-494 -494q-23 -23 -41 -23q-14 0 -22 13.5t-8 38.5v1000q0 25 8 38.5t22 13.5q18 0 41 -23l494 -494q14 -14 14 -35t-14 -35z" />
<glyph unicode="&#xe251;" d="M335 635l494 494q29 29 50 20.5t21 -49.5v-1000q0 -41 -21 -49.5t-50 20.5l-494 494q-14 14 -14 35t14 35z" />
<glyph unicode="&#xe252;" d="M100 900h1000q41 0 49.5 -21t-20.5 -50l-494 -494q-14 -14 -35 -14t-35 14l-494 494q-29 29 -20.5 50t49.5 21z" />
<glyph unicode="&#xe253;" d="M635 865l494 -494q29 -29 20.5 -50t-49.5 -21h-1000q-41 0 -49.5 21t20.5 50l494 494q14 14 35 14t35 -14z" />
<glyph unicode="&#xe254;" d="M700 741v-182l-692 -323v221l413 193l-413 193v221zM1200 0h-800v200h800v-200z" />
<glyph unicode="&#xe255;" d="M1200 900h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300zM0 700h50q0 21 4 37t9.5 26.5t18 17.5t22 11t28.5 5.5t31 2t37 0.5h100v-550q0 -22 -25 -34.5t-50 -13.5l-25 -2v-100h400v100q-4 0 -11 0.5t-24 3t-30 7t-24 15t-11 24.5v550h100q25 0 37 -0.5t31 -2 t28.5 -5.5t22 -11t18 -17.5t9.5 -26.5t4 -37h50v300h-800v-300z" />
<glyph unicode="&#xe256;" d="M800 700h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-100v-550q0 -22 25 -34.5t50 -14.5l25 -1v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v550h-100q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h800v-300zM1100 200h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300z" />
<glyph unicode="&#xe257;" d="M701 1098h160q16 0 21 -11t-7 -23l-464 -464l464 -464q12 -12 7 -23t-21 -11h-160q-13 0 -23 9l-471 471q-7 8 -7 18t7 18l471 471q10 9 23 9z" />
<glyph unicode="&#xe258;" d="M339 1098h160q13 0 23 -9l471 -471q7 -8 7 -18t-7 -18l-471 -471q-10 -9 -23 -9h-160q-16 0 -21 11t7 23l464 464l-464 464q-12 12 -7 23t21 11z" />
<glyph unicode="&#xe259;" d="M1087 882q11 -5 11 -21v-160q0 -13 -9 -23l-471 -471q-8 -7 -18 -7t-18 7l-471 471q-9 10 -9 23v160q0 16 11 21t23 -7l464 -464l464 464q12 12 23 7z" />
<glyph unicode="&#xe260;" d="M618 993l471 -471q9 -10 9 -23v-160q0 -16 -11 -21t-23 7l-464 464l-464 -464q-12 -12 -23 -7t-11 21v160q0 13 9 23l471 471q8 7 18 7t18 -7z" />
<glyph unicode="&#xf8ff;" d="M1000 1200q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM450 1000h100q21 0 40 -14t26 -33l79 -194q5 1 16 3q34 6 54 9.5t60 7t65.5 1t61 -10t56.5 -23t42.5 -42t29 -64t5 -92t-19.5 -121.5q-1 -7 -3 -19.5t-11 -50t-20.5 -73t-32.5 -81.5t-46.5 -83t-64 -70 t-82.5 -50q-13 -5 -42 -5t-65.5 2.5t-47.5 2.5q-14 0 -49.5 -3.5t-63 -3.5t-43.5 7q-57 25 -104.5 78.5t-75 111.5t-46.5 112t-26 90l-7 35q-15 63 -18 115t4.5 88.5t26 64t39.5 43.5t52 25.5t58.5 13t62.5 2t59.5 -4.5t55.5 -8l-147 192q-12 18 -5.5 30t27.5 12z" />
<glyph unicode="&#x1f511;" d="M250 1200h600q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-500l-255 -178q-19 -9 -32 -1t-13 29v650h-150q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM400 1100v-100h300v100h-300z" />
<glyph unicode="&#x1f6aa;" d="M250 1200h750q39 0 69.5 -40.5t30.5 -84.5v-933l-700 -117v950l600 125h-700v-1000h-100v1025q0 23 15.5 49t34.5 26zM500 525v-100l100 20v100z" />
</font>
</defs></svg> ) format('svg')}.glyphicon{position:relative;top:1px;display:inline-block;font-family:'Glyphicons Halflings';font-style:normal;font-weight:400;line-height:1;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.glyphicon-asterisk:before{content:"\2a"}.glyphicon-plus:before{content:"\2b"}.glyphicon-eur:before,.glyphicon-euro:before{content:"\20ac"}.glyphicon-minus:before{content:"\2212"}.glyphicon-cloud:before{content:"\2601"}.glyphicon-envelope:before{content:"\2709"}.glyphicon-pencil:before{content:"\270f"}.glyphicon-glass:before{content:"\e001"}.glyphicon-music:before{content:"\e002"}.glyphicon-search:before{content:"\e003"}.glyphicon-heart:before{content:"\e005"}.glyphicon-star:before{content:"\e006"}.glyphicon-star-empty:before{content:"\e007"}.glyphicon-user:before{content:"\e008"}.glyphicon-film:before{content:"\e009"}.glyphicon-th-large:before{content:"\e010"}.glyphicon-th:before{content:"\e011"}.glyphicon-th-list:before{content:"\e012"}.glyphicon-ok:before{content:"\e013"}.glyphicon-remove:before{content:"\e014"}.glyphicon-zoom-in:before{content:"\e015"}.glyphicon-zoom-out:before{content:"\e016"}.glyphicon-off:before{content:"\e017"}.glyphicon-signal:before{content:"\e018"}.glyphicon-cog:before{content:"\e019"}.glyphicon-trash:before{content:"\e020"}.glyphicon-home:before{content:"\e021"}.glyphicon-file:before{content:"\e022"}.glyphicon-time:before{content:"\e023"}.glyphicon-road:before{content:"\e024"}.glyphicon-download-alt:before{content:"\e025"}.glyphicon-download:before{content:"\e026"}.glyphicon-upload:before{content:"\e027"}.glyphicon-inbox:before{content:"\e028"}.glyphicon-play-circle:before{content:"\e029"}.glyphicon-repeat:before{content:"\e030"}.glyphicon-refresh:before{content:"\e031"}.glyphicon-list-alt:before{content:"\e032"}.glyphicon-lock:before{content:"\e033"}.glyphicon-flag:before{content:"\e034"}.glyphicon-headphones:before{content:"\e035"}.glyphicon-volume-off:before{content:"\e036"}.glyphicon-volume-down:before{content:"\e037"}.glyphicon-volume-up:before{content:"\e038"}.glyphicon-qrcode:before{content:"\e039"}.glyphicon-barcode:before{content:"\e040"}.glyphicon-tag:before{content:"\e041"}.glyphicon-tags:before{content:"\e042"}.glyphicon-book:before{content:"\e043"}.glyphicon-bookmark:before{content:"\e044"}.glyphicon-print:before{content:"\e045"}.glyphicon-camera:before{content:"\e046"}.glyphicon-font:before{content:"\e047"}.glyphicon-bold:before{content:"\e048"}.glyphicon-italic:before{content:"\e049"}.glyphicon-text-height:before{content:"\e050"}.glyphicon-text-width:before{content:"\e051"}.glyphicon-align-left:before{content:"\e052"}.glyphicon-align-center:before{content:"\e053"}.glyphicon-align-right:before{content:"\e054"}.glyphicon-align-justify:before{content:"\e055"}.glyphicon-list:before{content:"\e056"}.glyphicon-indent-left:before{content:"\e057"}.glyphicon-indent-right:before{content:"\e058"}.glyphicon-facetime-video:before{content:"\e059"}.glyphicon-picture:before{content:"\e060"}.glyphicon-map-marker:before{content:"\e062"}.glyphicon-adjust:before{content:"\e063"}.glyphicon-tint:before{content:"\e064"}.glyphicon-edit:before{content:"\e065"}.glyphicon-share:before{content:"\e066"}.glyphicon-check:before{content:"\e067"}.glyphicon-move:before{content:"\e068"}.glyphicon-step-backward:before{content:"\e069"}.glyphicon-fast-backward:before{content:"\e070"}.glyphicon-backward:before{content:"\e071"}.glyphicon-play:before{content:"\e072"}.glyphicon-pause:before{content:"\e073"}.glyphicon-stop:before{content:"\e074"}.glyphicon-forward:before{content:"\e075"}.glyphicon-fast-forward:before{content:"\e076"}.glyphicon-step-forward:before{content:"\e077"}.glyphicon-eject:before{content:"\e078"}.glyphicon-chevron-left:before{content:"\e079"}.glyphicon-chevron-right:before{content:"\e080"}.glyphicon-plus-sign:before{content:"\e081"}.glyphicon-minus-sign:before{content:"\e082"}.glyphicon-remove-sign:before{content:"\e083"}.glyphicon-ok-sign:before{content:"\e084"}.glyphicon-question-sign:before{content:"\e085"}.glyphicon-info-sign:before{content:"\e086"}.glyphicon-screenshot:before{content:"\e087"}.glyphicon-remove-circle:before{content:"\e088"}.glyphicon-ok-circle:before{content:"\e089"}.glyphicon-ban-circle:before{content:"\e090"}.glyphicon-arrow-left:before{content:"\e091"}.glyphicon-arrow-right:before{content:"\e092"}.glyphicon-arrow-up:before{content:"\e093"}.glyphicon-arrow-down:before{content:"\e094"}.glyphicon-share-alt:before{content:"\e095"}.glyphicon-resize-full:before{content:"\e096"}.glyphicon-resize-small:before{content:"\e097"}.glyphicon-exclamation-sign:before{content:"\e101"}.glyphicon-gift:before{content:"\e102"}.glyphicon-leaf:before{content:"\e103"}.glyphicon-fire:before{content:"\e104"}.glyphicon-eye-open:before{content:"\e105"}.glyphicon-eye-close:before{content:"\e106"}.glyphicon-warning-sign:before{content:"\e107"}.glyphicon-plane:before{content:"\e108"}.glyphicon-calendar:before{content:"\e109"}.glyphicon-random:before{content:"\e110"}.glyphicon-comment:before{content:"\e111"}.glyphicon-magnet:before{content:"\e112"}.glyphicon-chevron-up:before{content:"\e113"}.glyphicon-chevron-down:before{content:"\e114"}.glyphicon-retweet:before{content:"\e115"}.glyphicon-shopping-cart:before{content:"\e116"}.glyphicon-folder-close:before{content:"\e117"}.glyphicon-folder-open:before{content:"\e118"}.glyphicon-resize-vertical:before{content:"\e119"}.glyphicon-resize-horizontal:before{content:"\e120"}.glyphicon-hdd:before{content:"\e121"}.glyphicon-bullhorn:before{content:"\e122"}.glyphicon-bell:before{content:"\e123"}.glyphicon-certificate:before{content:"\e124"}.glyphicon-thumbs-up:before{content:"\e125"}.glyphicon-thumbs-down:before{content:"\e126"}.glyphicon-hand-right:before{content:"\e127"}.glyphicon-hand-left:before{content:"\e128"}.glyphicon-hand-up:before{content:"\e129"}.glyphicon-hand-down:before{content:"\e130"}.glyphicon-circle-arrow-right:before{content:"\e131"}.glyphicon-circle-arrow-left:before{content:"\e132"}.glyphicon-circle-arrow-up:before{content:"\e133"}.glyphicon-circle-arrow-down:before{content:"\e134"}.glyphicon-globe:before{content:"\e135"}.glyphicon-wrench:before{content:"\e136"}.glyphicon-tasks:before{content:"\e137"}.glyphicon-filter:before{content:"\e138"}.glyphicon-briefcase:before{content:"\e139"}.glyphicon-fullscreen:before{content:"\e140"}.glyphicon-dashboard:before{content:"\e141"}.glyphicon-paperclip:before{content:"\e142"}.glyphicon-heart-empty:before{content:"\e143"}.glyphicon-link:before{content:"\e144"}.glyphicon-phone:before{content:"\e145"}.glyphicon-pushpin:before{content:"\e146"}.glyphicon-usd:before{content:"\e148"}.glyphicon-gbp:before{content:"\e149"}.glyphicon-sort:before{content:"\e150"}.glyphicon-sort-by-alphabet:before{content:"\e151"}.glyphicon-sort-by-alphabet-alt:before{content:"\e152"}.glyphicon-sort-by-order:before{content:"\e153"}.glyphicon-sort-by-order-alt:before{content:"\e154"}.glyphicon-sort-by-attributes:before{content:"\e155"}.glyphicon-sort-by-attributes-alt:before{content:"\e156"}.glyphicon-unchecked:before{content:"\e157"}.glyphicon-expand:before{content:"\e158"}.glyphicon-collapse-down:before{content:"\e159"}.glyphicon-collapse-up:before{content:"\e160"}.glyphicon-log-in:before{content:"\e161"}.glyphicon-flash:before{content:"\e162"}.glyphicon-log-out:before{content:"\e163"}.glyphicon-new-window:before{content:"\e164"}.glyphicon-record:before{content:"\e165"}.glyphicon-save:before{content:"\e166"}.glyphicon-open:before{content:"\e167"}.glyphicon-saved:before{content:"\e168"}.glyphicon-import:before{content:"\e169"}.glyphicon-export:before{content:"\e170"}.glyphicon-send:before{content:"\e171"}.glyphicon-floppy-disk:before{content:"\e172"}.glyphicon-floppy-saved:before{content:"\e173"}.glyphicon-floppy-remove:before{content:"\e174"}.glyphicon-floppy-save:before{content:"\e175"}.glyphicon-floppy-open:before{content:"\e176"}.glyphicon-credit-card:before{content:"\e177"}.glyphicon-transfer:before{content:"\e178"}.glyphicon-cutlery:before{content:"\e179"}.glyphicon-header:before{content:"\e180"}.glyphicon-compressed:before{content:"\e181"}.glyphicon-earphone:before{content:"\e182"}.glyphicon-phone-alt:before{content:"\e183"}.glyphicon-tower:before{content:"\e184"}.glyphicon-stats:before{content:"\e185"}.glyphicon-sd-video:before{content:"\e186"}.glyphicon-hd-video:before{content:"\e187"}.glyphicon-subtitles:before{content:"\e188"}.glyphicon-sound-stereo:before{content:"\e189"}.glyphicon-sound-dolby:before{content:"\e190"}.glyphicon-sound-5-1:before{content:"\e191"}.glyphicon-sound-6-1:before{content:"\e192"}.glyphicon-sound-7-1:before{content:"\e193"}.glyphicon-copyright-mark:before{content:"\e194"}.glyphicon-registration-mark:before{content:"\e195"}.glyphicon-cloud-download:before{content:"\e197"}.glyphicon-cloud-upload:before{content:"\e198"}.glyphicon-tree-conifer:before{content:"\e199"}.glyphicon-tree-deciduous:before{content:"\e200"}.glyphicon-cd:before{content:"\e201"}.glyphicon-save-file:before{content:"\e202"}.glyphicon-open-file:before{content:"\e203"}.glyphicon-level-up:before{content:"\e204"}.glyphicon-copy:before{content:"\e205"}.glyphicon-paste:before{content:"\e206"}.glyphicon-alert:before{content:"\e209"}.glyphicon-equalizer:before{content:"\e210"}.glyphicon-king:before{content:"\e211"}.glyphicon-queen:before{content:"\e212"}.glyphicon-pawn:before{content:"\e213"}.glyphicon-bishop:before{content:"\e214"}.glyphicon-knight:before{content:"\e215"}.glyphicon-baby-formula:before{content:"\e216"}.glyphicon-tent:before{content:"\26fa"}.glyphicon-blackboard:before{content:"\e218"}.glyphicon-bed:before{content:"\e219"}.glyphicon-apple:before{content:"\f8ff"}.glyphicon-erase:before{content:"\e221"}.glyphicon-hourglass:before{content:"\231b"}.glyphicon-lamp:before{content:"\e223"}.glyphicon-duplicate:before{content:"\e224"}.glyphicon-piggy-bank:before{content:"\e225"}.glyphicon-scissors:before{content:"\e226"}.glyphicon-bitcoin:before{content:"\e227"}.glyphicon-btc:before{content:"\e227"}.glyphicon-xbt:before{content:"\e227"}.glyphicon-yen:before{content:"\00a5"}.glyphicon-jpy:before{content:"\00a5"}.glyphicon-ruble:before{content:"\20bd"}.glyphicon-rub:before{content:"\20bd"}.glyphicon-scale:before{content:"\e230"}.glyphicon-ice-lolly:before{content:"\e231"}.glyphicon-ice-lolly-tasted:before{content:"\e232"}.glyphicon-education:before{content:"\e233"}.glyphicon-option-horizontal:before{content:"\e234"}.glyphicon-option-vertical:before{content:"\e235"}.glyphicon-menu-hamburger:before{content:"\e236"}.glyphicon-modal-window:before{content:"\e237"}.glyphicon-oil:before{content:"\e238"}.glyphicon-grain:before{content:"\e239"}.glyphicon-sunglasses:before{content:"\e240"}.glyphicon-text-size:before{content:"\e241"}.glyphicon-text-color:before{content:"\e242"}.glyphicon-text-background:before{content:"\e243"}.glyphicon-object-align-top:before{content:"\e244"}.glyphicon-object-align-bottom:before{content:"\e245"}.glyphicon-object-align-horizontal:before{content:"\e246"}.glyphicon-object-align-left:before{content:"\e247"}.glyphicon-object-align-vertical:before{content:"\e248"}.glyphicon-object-align-right:before{content:"\e249"}.glyphicon-triangle-right:before{content:"\e250"}.glyphicon-triangle-left:before{content:"\e251"}.glyphicon-triangle-bottom:before{content:"\e252"}.glyphicon-triangle-top:before{content:"\e253"}.glyphicon-console:before{content:"\e254"}.glyphicon-superscript:before{content:"\e255"}.glyphicon-subscript:before{content:"\e256"}.glyphicon-menu-left:before{content:"\e257"}.glyphicon-menu-right:before{content:"\e258"}.glyphicon-menu-down:before{content:"\e259"}.glyphicon-menu-up:before{content:"\e260"}*{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}:after,:before{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}html{font-size:10px;-webkit-tap-highlight-color:rgba(0,0,0,0)}body{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:1.42857143;color:#333;background-color:#fff}button,input,select,textarea{font-family:inherit;font-size:inherit;line-height:inherit}a{color:#337ab7;text-decoration:none}a:focus,a:hover{color:#23527c;text-decoration:underline}a:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}figure{margin:0}img{vertical-align:middle}.carousel-inner>.item>a>img,.carousel-inner>.item>img,.img-responsive,.thumbnail a>img,.thumbnail>img{display:block;max-width:100%;height:auto}.img-rounded{border-radius:6px}.img-thumbnail{display:inline-block;max-width:100%;height:auto;padding:4px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out}.img-circle{border-radius:50%}hr{margin-top:20px;margin-bottom:20px;border:0;border-top:1px solid #eee}.sr-only{position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto}[role=button]{cursor:pointer}.h1,.h2,.h3,.h4,.h5,.h6,h1,h2,h3,h4,h5,h6{font-family:inherit;font-weight:500;line-height:1.1;color:inherit}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-weight:400;line-height:1;color:#777}.h1,.h2,.h3,h1,h2,h3{margin-top:20px;margin-bottom:10px}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small{font-size:65%}.h4,.h5,.h6,h4,h5,h6{margin-top:10px;margin-bottom:10px}.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-size:75%}.h1,h1{font-size:36px}.h2,h2{font-size:30px}.h3,h3{font-size:24px}.h4,h4{font-size:18px}.h5,h5{font-size:14px}.h6,h6{font-size:12px}p{margin:0 0 10px}.lead{margin-bottom:20px;font-size:16px;font-weight:300;line-height:1.4}@media (min-width:768px){.lead{font-size:21px}}.small,small{font-size:85%}.mark,mark{padding:.2em;background-color:#fcf8e3}.text-left{text-align:left}.text-right{text-align:right}.text-center{text-align:center}.text-justify{text-align:justify}.text-nowrap{white-space:nowrap}.text-lowercase{text-transform:lowercase}.text-uppercase{text-transform:uppercase}.text-capitalize{text-transform:capitalize}.text-muted{color:#777}.text-primary{color:#337ab7}a.text-primary:focus,a.text-primary:hover{color:#286090}.text-success{color:#3c763d}a.text-success:focus,a.text-success:hover{color:#2b542c}.text-info{color:#31708f}a.text-info:focus,a.text-info:hover{color:#245269}.text-warning{color:#8a6d3b}a.text-warning:focus,a.text-warning:hover{color:#66512c}.text-danger{color:#a94442}a.text-danger:focus,a.text-danger:hover{color:#843534}.bg-primary{color:#fff;background-color:#337ab7}a.bg-primary:focus,a.bg-primary:hover{background-color:#286090}.bg-success{background-color:#dff0d8}a.bg-success:focus,a.bg-success:hover{background-color:#c1e2b3}.bg-info{background-color:#d9edf7}a.bg-info:focus,a.bg-info:hover{background-color:#afd9ee}.bg-warning{background-color:#fcf8e3}a.bg-warning:focus,a.bg-warning:hover{background-color:#f7ecb5}.bg-danger{background-color:#f2dede}a.bg-danger:focus,a.bg-danger:hover{background-color:#e4b9b9}.page-header{padding-bottom:9px;margin:40px 0 20px;border-bottom:1px solid #eee}ol,ul{margin-top:0;margin-bottom:10px}ol ol,ol ul,ul ol,ul ul{margin-bottom:0}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;margin-left:-5px;list-style:none}.list-inline>li{display:inline-block;padding-right:5px;padding-left:5px}dl{margin-top:0;margin-bottom:20px}dd,dt{line-height:1.42857143}dt{font-weight:700}dd{margin-left:0}@media (min-width:768px){.dl-horizontal dt{float:left;width:160px;overflow:hidden;clear:left;text-align:right;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:180px}}abbr[data-original-title],abbr[title]{cursor:help;border-bottom:1px dotted #777}.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:10px 20px;margin:0 0 20px;font-size:17.5px;border-left:5px solid #eee}blockquote ol:last-child,blockquote p:last-child,blockquote ul:last-child{margin-bottom:0}blockquote .small,blockquote footer,blockquote small{display:block;font-size:80%;line-height:1.42857143;color:#777}blockquote .small:before,blockquote footer:before,blockquote small:before{content:'\2014 \00A0'}.blockquote-reverse,blockquote.pull-right{padding-right:15px;padding-left:0;text-align:right;border-right:5px solid #eee;border-left:0}.blockquote-reverse .small:before,.blockquote-reverse footer:before,.blockquote-reverse small:before,blockquote.pull-right .small:before,blockquote.pull-right footer:before,blockquote.pull-right small:before{content:''}.blockquote-reverse .small:after,.blockquote-reverse footer:after,.blockquote-reverse small:after,blockquote.pull-right .small:after,blockquote.pull-right footer:after,blockquote.pull-right small:after{content:'\00A0 \2014'}address{margin-bottom:20px;font-style:normal;line-height:1.42857143}code,kbd,pre,samp{font-family:monospace}code{padding:2px 4px;font-size:90%;color:#c7254e;background-color:#f9f2f4;border-radius:4px}kbd{padding:2px 4px;font-size:90%;color:#fff;background-color:#333;border-radius:3px;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.25);box-shadow:inset 0 -1px 0 rgba(0,0,0,.25)}kbd kbd{padding:0;font-size:100%;font-weight:700;-webkit-box-shadow:none;box-shadow:none}pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:1.42857143;color:#333;word-break:break-all;word-wrap:break-word;background-color:#f5f5f5;border:1px solid #ccc;border-radius:4px}pre code{padding:0;font-size:inherit;color:inherit;white-space:pre-wrap;background-color:transparent;border-radius:0}.pre-scrollable{max-height:340px;overflow-y:scroll}.container{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}@media (min-width:768px){.container{width:750px}}@media (min-width:992px){.container{width:970px}}@media (min-width:1200px){.container{width:1170px}}.container-fluid{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}.row{margin-right:-15px;margin-left:-15px}.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9,.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9,.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9,.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{position:relative;min-height:1px;padding-right:15px;padding-left:15px}.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{float:left}.col-xs-12{width:100%}.col-xs-11{width:91.66666667%}.col-xs-10{width:83.33333333%}.col-xs-9{width:75%}.col-xs-8{width:66.66666667%}.col-xs-7{width:58.33333333%}.col-xs-6{width:50%}.col-xs-5{width:41.66666667%}.col-xs-4{width:33.33333333%}.col-xs-3{width:25%}.col-xs-2{width:16.66666667%}.col-xs-1{width:8.33333333%}.col-xs-pull-12{right:100%}.col-xs-pull-11{right:91.66666667%}.col-xs-pull-10{right:83.33333333%}.col-xs-pull-9{right:75%}.col-xs-pull-8{right:66.66666667%}.col-xs-pull-7{right:58.33333333%}.col-xs-pull-6{right:50%}.col-xs-pull-5{right:41.66666667%}.col-xs-pull-4{right:33.33333333%}.col-xs-pull-3{right:25%}.col-xs-pull-2{right:16.66666667%}.col-xs-pull-1{right:8.33333333%}.col-xs-pull-0{right:auto}.col-xs-push-12{left:100%}.col-xs-push-11{left:91.66666667%}.col-xs-push-10{left:83.33333333%}.col-xs-push-9{left:75%}.col-xs-push-8{left:66.66666667%}.col-xs-push-7{left:58.33333333%}.col-xs-push-6{left:50%}.col-xs-push-5{left:41.66666667%}.col-xs-push-4{left:33.33333333%}.col-xs-push-3{left:25%}.col-xs-push-2{left:16.66666667%}.col-xs-push-1{left:8.33333333%}.col-xs-push-0{left:auto}.col-xs-offset-12{margin-left:100%}.col-xs-offset-11{margin-left:91.66666667%}.col-xs-offset-10{margin-left:83.33333333%}.col-xs-offset-9{margin-left:75%}.col-xs-offset-8{margin-left:66.66666667%}.col-xs-offset-7{margin-left:58.33333333%}.col-xs-offset-6{margin-left:50%}.col-xs-offset-5{margin-left:41.66666667%}.col-xs-offset-4{margin-left:33.33333333%}.col-xs-offset-3{margin-left:25%}.col-xs-offset-2{margin-left:16.66666667%}.col-xs-offset-1{margin-left:8.33333333%}.col-xs-offset-0{margin-left:0}@media (min-width:768px){.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9{float:left}.col-sm-12{width:100%}.col-sm-11{width:91.66666667%}.col-sm-10{width:83.33333333%}.col-sm-9{width:75%}.col-sm-8{width:66.66666667%}.col-sm-7{width:58.33333333%}.col-sm-6{width:50%}.col-sm-5{width:41.66666667%}.col-sm-4{width:33.33333333%}.col-sm-3{width:25%}.col-sm-2{width:16.66666667%}.col-sm-1{width:8.33333333%}.col-sm-pull-12{right:100%}.col-sm-pull-11{right:91.66666667%}.col-sm-pull-10{right:83.33333333%}.col-sm-pull-9{right:75%}.col-sm-pull-8{right:66.66666667%}.col-sm-pull-7{right:58.33333333%}.col-sm-pull-6{right:50%}.col-sm-pull-5{right:41.66666667%}.col-sm-pull-4{right:33.33333333%}.col-sm-pull-3{right:25%}.col-sm-pull-2{right:16.66666667%}.col-sm-pull-1{right:8.33333333%}.col-sm-pull-0{right:auto}.col-sm-push-12{left:100%}.col-sm-push-11{left:91.66666667%}.col-sm-push-10{left:83.33333333%}.col-sm-push-9{left:75%}.col-sm-push-8{left:66.66666667%}.col-sm-push-7{left:58.33333333%}.col-sm-push-6{left:50%}.col-sm-push-5{left:41.66666667%}.col-sm-push-4{left:33.33333333%}.col-sm-push-3{left:25%}.col-sm-push-2{left:16.66666667%}.col-sm-push-1{left:8.33333333%}.col-sm-push-0{left:auto}.col-sm-offset-12{margin-left:100%}.col-sm-offset-11{margin-left:91.66666667%}.col-sm-offset-10{margin-left:83.33333333%}.col-sm-offset-9{margin-left:75%}.col-sm-offset-8{margin-left:66.66666667%}.col-sm-offset-7{margin-left:58.33333333%}.col-sm-offset-6{margin-left:50%}.col-sm-offset-5{margin-left:41.66666667%}.col-sm-offset-4{margin-left:33.33333333%}.col-sm-offset-3{margin-left:25%}.col-sm-offset-2{margin-left:16.66666667%}.col-sm-offset-1{margin-left:8.33333333%}.col-sm-offset-0{margin-left:0}}@media (min-width:992px){.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9{float:left}.col-md-12{width:100%}.col-md-11{width:91.66666667%}.col-md-10{width:83.33333333%}.col-md-9{width:75%}.col-md-8{width:66.66666667%}.col-md-7{width:58.33333333%}.col-md-6{width:50%}.col-md-5{width:41.66666667%}.col-md-4{width:33.33333333%}.col-md-3{width:25%}.col-md-2{width:16.66666667%}.col-md-1{width:8.33333333%}.col-md-pull-12{right:100%}.col-md-pull-11{right:91.66666667%}.col-md-pull-10{right:83.33333333%}.col-md-pull-9{right:75%}.col-md-pull-8{right:66.66666667%}.col-md-pull-7{right:58.33333333%}.col-md-pull-6{right:50%}.col-md-pull-5{right:41.66666667%}.col-md-pull-4{right:33.33333333%}.col-md-pull-3{right:25%}.col-md-pull-2{right:16.66666667%}.col-md-pull-1{right:8.33333333%}.col-md-pull-0{right:auto}.col-md-push-12{left:100%}.col-md-push-11{left:91.66666667%}.col-md-push-10{left:83.33333333%}.col-md-push-9{left:75%}.col-md-push-8{left:66.66666667%}.col-md-push-7{left:58.33333333%}.col-md-push-6{left:50%}.col-md-push-5{left:41.66666667%}.col-md-push-4{left:33.33333333%}.col-md-push-3{left:25%}.col-md-push-2{left:16.66666667%}.col-md-push-1{left:8.33333333%}.col-md-push-0{left:auto}.col-md-offset-12{margin-left:100%}.col-md-offset-11{margin-left:91.66666667%}.col-md-offset-10{margin-left:83.33333333%}.col-md-offset-9{margin-left:75%}.col-md-offset-8{margin-left:66.66666667%}.col-md-offset-7{margin-left:58.33333333%}.col-md-offset-6{margin-left:50%}.col-md-offset-5{margin-left:41.66666667%}.col-md-offset-4{margin-left:33.33333333%}.col-md-offset-3{margin-left:25%}.col-md-offset-2{margin-left:16.66666667%}.col-md-offset-1{margin-left:8.33333333%}.col-md-offset-0{margin-left:0}}@media (min-width:1200px){.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9{float:left}.col-lg-12{width:100%}.col-lg-11{width:91.66666667%}.col-lg-10{width:83.33333333%}.col-lg-9{width:75%}.col-lg-8{width:66.66666667%}.col-lg-7{width:58.33333333%}.col-lg-6{width:50%}.col-lg-5{width:41.66666667%}.col-lg-4{width:33.33333333%}.col-lg-3{width:25%}.col-lg-2{width:16.66666667%}.col-lg-1{width:8.33333333%}.col-lg-pull-12{right:100%}.col-lg-pull-11{right:91.66666667%}.col-lg-pull-10{right:83.33333333%}.col-lg-pull-9{right:75%}.col-lg-pull-8{right:66.66666667%}.col-lg-pull-7{right:58.33333333%}.col-lg-pull-6{right:50%}.col-lg-pull-5{right:41.66666667%}.col-lg-pull-4{right:33.33333333%}.col-lg-pull-3{right:25%}.col-lg-pull-2{right:16.66666667%}.col-lg-pull-1{right:8.33333333%}.col-lg-pull-0{right:auto}.col-lg-push-12{left:100%}.col-lg-push-11{left:91.66666667%}.col-lg-push-10{left:83.33333333%}.col-lg-push-9{left:75%}.col-lg-push-8{left:66.66666667%}.col-lg-push-7{left:58.33333333%}.col-lg-push-6{left:50%}.col-lg-push-5{left:41.66666667%}.col-lg-push-4{left:33.33333333%}.col-lg-push-3{left:25%}.col-lg-push-2{left:16.66666667%}.col-lg-push-1{left:8.33333333%}.col-lg-push-0{left:auto}.col-lg-offset-12{margin-left:100%}.col-lg-offset-11{margin-left:91.66666667%}.col-lg-offset-10{margin-left:83.33333333%}.col-lg-offset-9{margin-left:75%}.col-lg-offset-8{margin-left:66.66666667%}.col-lg-offset-7{margin-left:58.33333333%}.col-lg-offset-6{margin-left:50%}.col-lg-offset-5{margin-left:41.66666667%}.col-lg-offset-4{margin-left:33.33333333%}.col-lg-offset-3{margin-left:25%}.col-lg-offset-2{margin-left:16.66666667%}.col-lg-offset-1{margin-left:8.33333333%}.col-lg-offset-0{margin-left:0}}table{background-color:transparent}caption{padding-top:8px;padding-bottom:8px;color:#777;text-align:left}th{}.table{width:100%;max-width:100%;margin-bottom:20px}.table>tbody>tr>td,.table>tbody>tr>th,.table>tfoot>tr>td,.table>tfoot>tr>th,.table>thead>tr>td,.table>thead>tr>th{padding:8px;line-height:1.42857143;vertical-align:top;border-top:1px solid #ddd}.table>thead>tr>th{vertical-align:bottom;border-bottom:2px solid #ddd}.table>caption+thead>tr:first-child>td,.table>caption+thead>tr:first-child>th,.table>colgroup+thead>tr:first-child>td,.table>colgroup+thead>tr:first-child>th,.table>thead:first-child>tr:first-child>td,.table>thead:first-child>tr:first-child>th{border-top:0}.table>tbody+tbody{border-top:2px solid #ddd}.table .table{background-color:#fff}.table-condensed>tbody>tr>td,.table-condensed>tbody>tr>th,.table-condensed>tfoot>tr>td,.table-condensed>tfoot>tr>th,.table-condensed>thead>tr>td,.table-condensed>thead>tr>th{padding:5px}.table-bordered{border:1px solid #ddd}.table-bordered>tbody>tr>td,.table-bordered>tbody>tr>th,.table-bordered>tfoot>tr>td,.table-bordered>tfoot>tr>th,.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border:1px solid #ddd}.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border-bottom-width:2px}.table-striped>tbody>tr:nth-of-type(odd){background-color:#f9f9f9}.table-hover>tbody>tr:hover{background-color:#f5f5f5}table col[class*=col-]{position:static;display:table-column;float:none}table td[class*=col-],table th[class*=col-]{position:static;display:table-cell;float:none}.table>tbody>tr.active>td,.table>tbody>tr.active>th,.table>tbody>tr>td.active,.table>tbody>tr>th.active,.table>tfoot>tr.active>td,.table>tfoot>tr.active>th,.table>tfoot>tr>td.active,.table>tfoot>tr>th.active,.table>thead>tr.active>td,.table>thead>tr.active>th,.table>thead>tr>td.active,.table>thead>tr>th.active{background-color:#f5f5f5}.table-hover>tbody>tr.active:hover>td,.table-hover>tbody>tr.active:hover>th,.table-hover>tbody>tr:hover>.active,.table-hover>tbody>tr>td.active:hover,.table-hover>tbody>tr>th.active:hover{background-color:#e8e8e8}.table>tbody>tr.success>td,.table>tbody>tr.success>th,.table>tbody>tr>td.success,.table>tbody>tr>th.success,.table>tfoot>tr.success>td,.table>tfoot>tr.success>th,.table>tfoot>tr>td.success,.table>tfoot>tr>th.success,.table>thead>tr.success>td,.table>thead>tr.success>th,.table>thead>tr>td.success,.table>thead>tr>th.success{background-color:#dff0d8}.table-hover>tbody>tr.success:hover>td,.table-hover>tbody>tr.success:hover>th,.table-hover>tbody>tr:hover>.success,.table-hover>tbody>tr>td.success:hover,.table-hover>tbody>tr>th.success:hover{background-color:#d0e9c6}.table>tbody>tr.info>td,.table>tbody>tr.info>th,.table>tbody>tr>td.info,.table>tbody>tr>th.info,.table>tfoot>tr.info>td,.table>tfoot>tr.info>th,.table>tfoot>tr>td.info,.table>tfoot>tr>th.info,.table>thead>tr.info>td,.table>thead>tr.info>th,.table>thead>tr>td.info,.table>thead>tr>th.info{background-color:#d9edf7}.table-hover>tbody>tr.info:hover>td,.table-hover>tbody>tr.info:hover>th,.table-hover>tbody>tr:hover>.info,.table-hover>tbody>tr>td.info:hover,.table-hover>tbody>tr>th.info:hover{background-color:#c4e3f3}.table>tbody>tr.warning>td,.table>tbody>tr.warning>th,.table>tbody>tr>td.warning,.table>tbody>tr>th.warning,.table>tfoot>tr.warning>td,.table>tfoot>tr.warning>th,.table>tfoot>tr>td.warning,.table>tfoot>tr>th.warning,.table>thead>tr.warning>td,.table>thead>tr.warning>th,.table>thead>tr>td.warning,.table>thead>tr>th.warning{background-color:#fcf8e3}.table-hover>tbody>tr.warning:hover>td,.table-hover>tbody>tr.warning:hover>th,.table-hover>tbody>tr:hover>.warning,.table-hover>tbody>tr>td.warning:hover,.table-hover>tbody>tr>th.warning:hover{background-color:#faf2cc}.table>tbody>tr.danger>td,.table>tbody>tr.danger>th,.table>tbody>tr>td.danger,.table>tbody>tr>th.danger,.table>tfoot>tr.danger>td,.table>tfoot>tr.danger>th,.table>tfoot>tr>td.danger,.table>tfoot>tr>th.danger,.table>thead>tr.danger>td,.table>thead>tr.danger>th,.table>thead>tr>td.danger,.table>thead>tr>th.danger{background-color:#f2dede}.table-hover>tbody>tr.danger:hover>td,.table-hover>tbody>tr.danger:hover>th,.table-hover>tbody>tr:hover>.danger,.table-hover>tbody>tr>td.danger:hover,.table-hover>tbody>tr>th.danger:hover{background-color:#ebcccc}.table-responsive{min-height:.01%;overflow-x:auto}@media screen and (max-width:767px){.table-responsive{width:100%;margin-bottom:15px;overflow-y:hidden;-ms-overflow-style:-ms-autohiding-scrollbar;border:1px solid #ddd}.table-responsive>.table{margin-bottom:0}.table-responsive>.table>tbody>tr>td,.table-responsive>.table>tbody>tr>th,.table-responsive>.table>tfoot>tr>td,.table-responsive>.table>tfoot>tr>th,.table-responsive>.table>thead>tr>td,.table-responsive>.table>thead>tr>th{white-space:nowrap}.table-responsive>.table-bordered{border:0}.table-responsive>.table-bordered>tbody>tr>td:first-child,.table-responsive>.table-bordered>tbody>tr>th:first-child,.table-responsive>.table-bordered>tfoot>tr>td:first-child,.table-responsive>.table-bordered>tfoot>tr>th:first-child,.table-responsive>.table-bordered>thead>tr>td:first-child,.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.table-responsive>.table-bordered>tbody>tr>td:last-child,.table-responsive>.table-bordered>tbody>tr>th:last-child,.table-responsive>.table-bordered>tfoot>tr>td:last-child,.table-responsive>.table-bordered>tfoot>tr>th:last-child,.table-responsive>.table-bordered>thead>tr>td:last-child,.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.table-responsive>.table-bordered>tbody>tr:last-child>td,.table-responsive>.table-bordered>tbody>tr:last-child>th,.table-responsive>.table-bordered>tfoot>tr:last-child>td,.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}}fieldset{min-width:0;padding:0;margin:0;border:0}legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:inherit;color:#333;border:0;border-bottom:1px solid #e5e5e5}label{display:inline-block;max-width:100%;margin-bottom:5px;font-weight:700}input[type=search]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}input[type=checkbox],input[type=radio]{margin:4px 0 0;margin-top:1px\9;line-height:normal}input[type=file]{display:block}input[type=range]{display:block;width:100%}select[multiple],select[size]{height:auto}input[type=file]:focus,input[type=checkbox]:focus,input[type=radio]:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}output{display:block;padding-top:7px;font-size:14px;line-height:1.42857143;color:#555}.form-control{display:block;width:100%;height:34px;padding:6px 12px;font-size:14px;line-height:1.42857143;color:#555;background-color:#fff;background-image:none;border:1px solid #ccc;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075);-webkit-transition:border-color ease-in-out .15s,-webkit-box-shadow ease-in-out .15s;-o-transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s;transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s}.form-control:focus{border-color:#66afe9;outline:0;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6);box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6)}.form-control::-moz-placeholder{color:#999;opacity:1}.form-control:-ms-input-placeholder{color:#999}.form-control::-webkit-input-placeholder{color:#999}.form-control[disabled],.form-control[readonly],fieldset[disabled] .form-control{background-color:#eee;opacity:1}.form-control[disabled],fieldset[disabled] .form-control{cursor:not-allowed}textarea.form-control{height:auto}input[type=search]{-webkit-appearance:none}@media screen and (-webkit-min-device-pixel-ratio:0){input[type=date].form-control,input[type=time].form-control,input[type=datetime-local].form-control,input[type=month].form-control{line-height:34px}.input-group-sm input[type=date],.input-group-sm input[type=time],.input-group-sm input[type=datetime-local],.input-group-sm input[type=month],input[type=date].input-sm,input[type=time].input-sm,input[type=datetime-local].input-sm,input[type=month].input-sm{line-height:30px}.input-group-lg input[type=date],.input-group-lg input[type=time],.input-group-lg input[type=datetime-local],.input-group-lg input[type=month],input[type=date].input-lg,input[type=time].input-lg,input[type=datetime-local].input-lg,input[type=month].input-lg{line-height:46px}}.form-group{margin-bottom:15px}.checkbox,.radio{position:relative;display:block;margin-top:10px;margin-bottom:10px}.checkbox label,.radio label{min-height:20px;padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.checkbox input[type=checkbox],.checkbox-inline input[type=checkbox],.radio input[type=radio],.radio-inline input[type=radio]{position:absolute;margin-top:4px\9;margin-left:-20px}.checkbox+.checkbox,.radio+.radio{margin-top:-5px}.checkbox-inline,.radio-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.checkbox-inline+.checkbox-inline,.radio-inline+.radio-inline{margin-top:0;margin-left:10px}fieldset[disabled] input[type=checkbox],fieldset[disabled] input[type=radio],input[type=checkbox].disabled,input[type=checkbox][disabled],input[type=radio].disabled,input[type=radio][disabled]{cursor:not-allowed}.checkbox-inline.disabled,.radio-inline.disabled,fieldset[disabled] .checkbox-inline,fieldset[disabled] .radio-inline{cursor:not-allowed}.checkbox.disabled label,.radio.disabled label,fieldset[disabled] .checkbox label,fieldset[disabled] .radio label{cursor:not-allowed}.form-control-static{min-height:34px;padding-top:7px;padding-bottom:7px;margin-bottom:0}.form-control-static.input-lg,.form-control-static.input-sm{padding-right:0;padding-left:0}.input-sm{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-sm{height:30px;line-height:30px}select[multiple].input-sm,textarea.input-sm{height:auto}.form-group-sm .form-control{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.form-group-sm select.form-control{height:30px;line-height:30px}.form-group-sm select[multiple].form-control,.form-group-sm textarea.form-control{height:auto}.form-group-sm .form-control-static{height:30px;min-height:32px;padding:6px 10px;font-size:12px;line-height:1.5}.input-lg{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-lg{height:46px;line-height:46px}select[multiple].input-lg,textarea.input-lg{height:auto}.form-group-lg .form-control{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.form-group-lg select.form-control{height:46px;line-height:46px}.form-group-lg select[multiple].form-control,.form-group-lg textarea.form-control{height:auto}.form-group-lg .form-control-static{height:46px;min-height:38px;padding:11px 16px;font-size:18px;line-height:1.3333333}.has-feedback{position:relative}.has-feedback .form-control{padding-right:42.5px}.form-control-feedback{position:absolute;top:0;right:0;z-index:2;display:block;width:34px;height:34px;line-height:34px;text-align:center;pointer-events:none}.form-group-lg .form-control+.form-control-feedback,.input-group-lg+.form-control-feedback,.input-lg+.form-control-feedback{width:46px;height:46px;line-height:46px}.form-group-sm .form-control+.form-control-feedback,.input-group-sm+.form-control-feedback,.input-sm+.form-control-feedback{width:30px;height:30px;line-height:30px}.has-success .checkbox,.has-success .checkbox-inline,.has-success .control-label,.has-success .help-block,.has-success .radio,.has-success .radio-inline,.has-success.checkbox label,.has-success.checkbox-inline label,.has-success.radio label,.has-success.radio-inline label{color:#3c763d}.has-success .form-control{border-color:#3c763d;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-success .form-control:focus{border-color:#2b542c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168}.has-success .input-group-addon{color:#3c763d;background-color:#dff0d8;border-color:#3c763d}.has-success .form-control-feedback{color:#3c763d}.has-warning .checkbox,.has-warning .checkbox-inline,.has-warning .control-label,.has-warning .help-block,.has-warning .radio,.has-warning .radio-inline,.has-warning.checkbox label,.has-warning.checkbox-inline label,.has-warning.radio label,.has-warning.radio-inline label{color:#8a6d3b}.has-warning .form-control{border-color:#8a6d3b;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-warning .form-control:focus{border-color:#66512c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b}.has-warning .input-group-addon{color:#8a6d3b;background-color:#fcf8e3;border-color:#8a6d3b}.has-warning .form-control-feedback{color:#8a6d3b}.has-error .checkbox,.has-error .checkbox-inline,.has-error .control-label,.has-error .help-block,.has-error .radio,.has-error .radio-inline,.has-error.checkbox label,.has-error.checkbox-inline label,.has-error.radio label,.has-error.radio-inline label{color:#a94442}.has-error .form-control{border-color:#a94442;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-error .form-control:focus{border-color:#843534;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483}.has-error .input-group-addon{color:#a94442;background-color:#f2dede;border-color:#a94442}.has-error .form-control-feedback{color:#a94442}.has-feedback label~.form-control-feedback{top:25px}.has-feedback label.sr-only~.form-control-feedback{top:0}.help-block{display:block;margin-top:5px;margin-bottom:10px;color:#737373}@media (min-width:768px){.form-inline .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.form-inline .form-control{display:inline-block;width:auto;vertical-align:middle}.form-inline .form-control-static{display:inline-block}.form-inline .input-group{display:inline-table;vertical-align:middle}.form-inline .input-group .form-control,.form-inline .input-group .input-group-addon,.form-inline .input-group .input-group-btn{width:auto}.form-inline .input-group>.form-control{width:100%}.form-inline .control-label{margin-bottom:0;vertical-align:middle}.form-inline .checkbox,.form-inline .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.form-inline .checkbox label,.form-inline .radio label{padding-left:0}.form-inline .checkbox input[type=checkbox],.form-inline .radio input[type=radio]{position:relative;margin-left:0}.form-inline .has-feedback .form-control-feedback{top:0}}.form-horizontal .checkbox,.form-horizontal .checkbox-inline,.form-horizontal .radio,.form-horizontal .radio-inline{padding-top:7px;margin-top:0;margin-bottom:0}.form-horizontal .checkbox,.form-horizontal .radio{min-height:27px}.form-horizontal .form-group{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.form-horizontal .control-label{padding-top:7px;margin-bottom:0;text-align:right}}.form-horizontal .has-feedback .form-control-feedback{right:15px}@media (min-width:768px){.form-horizontal .form-group-lg .control-label{padding-top:14.33px;font-size:18px}}@media (min-width:768px){.form-horizontal .form-group-sm .control-label{padding-top:6px;font-size:12px}}.btn{display:inline-block;padding:6px 12px;margin-bottom:0;font-size:14px;font-weight:400;line-height:1.42857143;text-align:center;white-space:nowrap;vertical-align:middle;-ms-touch-action:manipulation;touch-action:manipulation;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;background-image:none;border:1px solid transparent;border-radius:4px}.btn.active.focus,.btn.active:focus,.btn.focus,.btn:active.focus,.btn:active:focus,.btn:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn.focus,.btn:focus,.btn:hover{color:#333;text-decoration:none}.btn.active,.btn:active{background-image:none;outline:0;-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn.disabled,.btn[disabled],fieldset[disabled] .btn{cursor:not-allowed;filter:alpha(opacity=65);-webkit-box-shadow:none;box-shadow:none;opacity:.65}a.btn.disabled,fieldset[disabled] a.btn{pointer-events:none}.btn-default{color:#333;background-color:#fff;border-color:#ccc}.btn-default.focus,.btn-default:focus{color:#333;background-color:#e6e6e6;border-color:#8c8c8c}.btn-default:hover{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active.focus,.btn-default.active:focus,.btn-default.active:hover,.btn-default:active.focus,.btn-default:active:focus,.btn-default:active:hover,.open>.dropdown-toggle.btn-default.focus,.open>.dropdown-toggle.btn-default:focus,.open>.dropdown-toggle.btn-default:hover{color:#333;background-color:#d4d4d4;border-color:#8c8c8c}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{background-image:none}.btn-default.disabled,.btn-default.disabled.active,.btn-default.disabled.focus,.btn-default.disabled:active,.btn-default.disabled:focus,.btn-default.disabled:hover,.btn-default[disabled],.btn-default[disabled].active,.btn-default[disabled].focus,.btn-default[disabled]:active,.btn-default[disabled]:focus,.btn-default[disabled]:hover,fieldset[disabled] .btn-default,fieldset[disabled] .btn-default.active,fieldset[disabled] .btn-default.focus,fieldset[disabled] .btn-default:active,fieldset[disabled] .btn-default:focus,fieldset[disabled] .btn-default:hover{background-color:#fff;border-color:#ccc}.btn-default .badge{color:#fff;background-color:#333}.btn-primary{color:#fff;background-color:#337ab7;border-color:#2e6da4}.btn-primary.focus,.btn-primary:focus{color:#fff;background-color:#286090;border-color:#122b40}.btn-primary:hover{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active.focus,.btn-primary.active:focus,.btn-primary.active:hover,.btn-primary:active.focus,.btn-primary:active:focus,.btn-primary:active:hover,.open>.dropdown-toggle.btn-primary.focus,.open>.dropdown-toggle.btn-primary:focus,.open>.dropdown-toggle.btn-primary:hover{color:#fff;background-color:#204d74;border-color:#122b40}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{background-image:none}.btn-primary.disabled,.btn-primary.disabled.active,.btn-primary.disabled.focus,.btn-primary.disabled:active,.btn-primary.disabled:focus,.btn-primary.disabled:hover,.btn-primary[disabled],.btn-primary[disabled].active,.btn-primary[disabled].focus,.btn-primary[disabled]:active,.btn-primary[disabled]:focus,.btn-primary[disabled]:hover,fieldset[disabled] .btn-primary,fieldset[disabled] .btn-primary.active,fieldset[disabled] .btn-primary.focus,fieldset[disabled] .btn-primary:active,fieldset[disabled] .btn-primary:focus,fieldset[disabled] .btn-primary:hover{background-color:#337ab7;border-color:#2e6da4}.btn-primary .badge{color:#337ab7;background-color:#fff}.btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c}.btn-success.focus,.btn-success:focus{color:#fff;background-color:#449d44;border-color:#255625}.btn-success:hover{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active.focus,.btn-success.active:focus,.btn-success.active:hover,.btn-success:active.focus,.btn-success:active:focus,.btn-success:active:hover,.open>.dropdown-toggle.btn-success.focus,.open>.dropdown-toggle.btn-success:focus,.open>.dropdown-toggle.btn-success:hover{color:#fff;background-color:#398439;border-color:#255625}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{background-image:none}.btn-success.disabled,.btn-success.disabled.active,.btn-success.disabled.focus,.btn-success.disabled:active,.btn-success.disabled:focus,.btn-success.disabled:hover,.btn-success[disabled],.btn-success[disabled].active,.btn-success[disabled].focus,.btn-success[disabled]:active,.btn-success[disabled]:focus,.btn-success[disabled]:hover,fieldset[disabled] .btn-success,fieldset[disabled] .btn-success.active,fieldset[disabled] .btn-success.focus,fieldset[disabled] .btn-success:active,fieldset[disabled] .btn-success:focus,fieldset[disabled] .btn-success:hover{background-color:#5cb85c;border-color:#4cae4c}.btn-success .badge{color:#5cb85c;background-color:#fff}.btn-info{color:#fff;background-color:#5bc0de;border-color:#46b8da}.btn-info.focus,.btn-info:focus{color:#fff;background-color:#31b0d5;border-color:#1b6d85}.btn-info:hover{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active.focus,.btn-info.active:focus,.btn-info.active:hover,.btn-info:active.focus,.btn-info:active:focus,.btn-info:active:hover,.open>.dropdown-toggle.btn-info.focus,.open>.dropdown-toggle.btn-info:focus,.open>.dropdown-toggle.btn-info:hover{color:#fff;background-color:#269abc;border-color:#1b6d85}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{background-image:none}.btn-info.disabled,.btn-info.disabled.active,.btn-info.disabled.focus,.btn-info.disabled:active,.btn-info.disabled:focus,.btn-info.disabled:hover,.btn-info[disabled],.btn-info[disabled].active,.btn-info[disabled].focus,.btn-info[disabled]:active,.btn-info[disabled]:focus,.btn-info[disabled]:hover,fieldset[disabled] .btn-info,fieldset[disabled] .btn-info.active,fieldset[disabled] .btn-info.focus,fieldset[disabled] .btn-info:active,fieldset[disabled] .btn-info:focus,fieldset[disabled] .btn-info:hover{background-color:#5bc0de;border-color:#46b8da}.btn-info .badge{color:#5bc0de;background-color:#fff}.btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236}.btn-warning.focus,.btn-warning:focus{color:#fff;background-color:#ec971f;border-color:#985f0d}.btn-warning:hover{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active.focus,.btn-warning.active:focus,.btn-warning.active:hover,.btn-warning:active.focus,.btn-warning:active:focus,.btn-warning:active:hover,.open>.dropdown-toggle.btn-warning.focus,.open>.dropdown-toggle.btn-warning:focus,.open>.dropdown-toggle.btn-warning:hover{color:#fff;background-color:#d58512;border-color:#985f0d}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{background-image:none}.btn-warning.disabled,.btn-warning.disabled.active,.btn-warning.disabled.focus,.btn-warning.disabled:active,.btn-warning.disabled:focus,.btn-warning.disabled:hover,.btn-warning[disabled],.btn-warning[disabled].active,.btn-warning[disabled].focus,.btn-warning[disabled]:active,.btn-warning[disabled]:focus,.btn-warning[disabled]:hover,fieldset[disabled] .btn-warning,fieldset[disabled] .btn-warning.active,fieldset[disabled] .btn-warning.focus,fieldset[disabled] .btn-warning:active,fieldset[disabled] .btn-warning:focus,fieldset[disabled] .btn-warning:hover{background-color:#f0ad4e;border-color:#eea236}.btn-warning .badge{color:#f0ad4e;background-color:#fff}.btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a}.btn-danger.focus,.btn-danger:focus{color:#fff;background-color:#c9302c;border-color:#761c19}.btn-danger:hover{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active.focus,.btn-danger.active:focus,.btn-danger.active:hover,.btn-danger:active.focus,.btn-danger:active:focus,.btn-danger:active:hover,.open>.dropdown-toggle.btn-danger.focus,.open>.dropdown-toggle.btn-danger:focus,.open>.dropdown-toggle.btn-danger:hover{color:#fff;background-color:#ac2925;border-color:#761c19}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{background-image:none}.btn-danger.disabled,.btn-danger.disabled.active,.btn-danger.disabled.focus,.btn-danger.disabled:active,.btn-danger.disabled:focus,.btn-danger.disabled:hover,.btn-danger[disabled],.btn-danger[disabled].active,.btn-danger[disabled].focus,.btn-danger[disabled]:active,.btn-danger[disabled]:focus,.btn-danger[disabled]:hover,fieldset[disabled] .btn-danger,fieldset[disabled] .btn-danger.active,fieldset[disabled] .btn-danger.focus,fieldset[disabled] .btn-danger:active,fieldset[disabled] .btn-danger:focus,fieldset[disabled] .btn-danger:hover{background-color:#d9534f;border-color:#d43f3a}.btn-danger .badge{color:#d9534f;background-color:#fff}.btn-link{font-weight:400;color:#337ab7;border-radius:0}.btn-link,.btn-link.active,.btn-link:active,.btn-link[disabled],fieldset[disabled] .btn-link{background-color:transparent;-webkit-box-shadow:none;box-shadow:none}.btn-link,.btn-link:active,.btn-link:focus,.btn-link:hover{border-color:transparent}.btn-link:focus,.btn-link:hover{color:#23527c;text-decoration:underline;background-color:transparent}.btn-link[disabled]:focus,.btn-link[disabled]:hover,fieldset[disabled] .btn-link:focus,fieldset[disabled] .btn-link:hover{color:#777;text-decoration:none}.btn-group-lg>.btn,.btn-lg{padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.btn-group-sm>.btn,.btn-sm{padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.btn-group-xs>.btn,.btn-xs{padding:1px 5px;font-size:12px;line-height:1.5;border-radius:3px}.btn-block{display:block;width:100%}.btn-block+.btn-block{margin-top:5px}input[type=button].btn-block,input[type=reset].btn-block,input[type=submit].btn-block{width:100%}.fade{opacity:0;-webkit-transition:opacity .15s linear;-o-transition:opacity .15s linear;transition:opacity .15s linear}.fade.in{opacity:1}.collapse{display:none}.collapse.in{display:block}tr.collapse.in{display:table-row}tbody.collapse.in{display:table-row-group}.collapsing{position:relative;height:0;overflow:hidden;-webkit-transition-timing-function:ease;-o-transition-timing-function:ease;transition-timing-function:ease;-webkit-transition-duration:.35s;-o-transition-duration:.35s;transition-duration:.35s;-webkit-transition-property:height,visibility;-o-transition-property:height,visibility;transition-property:height,visibility}.caret{display:inline-block;width:0;height:0;margin-left:2px;vertical-align:middle;border-top:4px dashed;border-top:4px solid\9;border-right:4px solid transparent;border-left:4px solid transparent}.dropdown,.dropup{position:relative}.dropdown-toggle:focus{outline:0}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;font-size:14px;text-align:left;list-style:none;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.15);border-radius:4px;-webkit-box-shadow:0 6px 12px rgba(0,0,0,.175);box-shadow:0 6px 12px rgba(0,0,0,.175)}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:400;line-height:1.42857143;color:#333;white-space:nowrap}.dropdown-menu>li>a:focus,.dropdown-menu>li>a:hover{color:#262626;text-decoration:none;background-color:#f5f5f5}.dropdown-menu>.active>a,.dropdown-menu>.active>a:focus,.dropdown-menu>.active>a:hover{color:#fff;text-decoration:none;background-color:#337ab7;outline:0}.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{color:#777}.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{text-decoration:none;cursor:not-allowed;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.open>.dropdown-menu{display:block}.open>a{outline:0}.dropdown-menu-right{right:0;left:auto}.dropdown-menu-left{right:auto;left:0}.dropdown-header{display:block;padding:3px 20px;font-size:12px;line-height:1.42857143;color:#777;white-space:nowrap}.dropdown-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:990}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{content:"";border-top:0;border-bottom:4px dashed;border-bottom:4px solid\9}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:2px}@media (min-width:768px){.navbar-right .dropdown-menu{right:0;left:auto}.navbar-right .dropdown-menu-left{right:auto;left:0}}.btn-group,.btn-group-vertical{position:relative;display:inline-block;vertical-align:middle}.btn-group-vertical>.btn,.btn-group>.btn{position:relative;float:left}.btn-group-vertical>.btn.active,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:hover,.btn-group>.btn.active,.btn-group>.btn:active,.btn-group>.btn:focus,.btn-group>.btn:hover{z-index:2}.btn-group .btn+.btn,.btn-group .btn+.btn-group,.btn-group .btn-group+.btn,.btn-group .btn-group+.btn-group{margin-left:-1px}.btn-toolbar{margin-left:-5px}.btn-toolbar .btn,.btn-toolbar .btn-group,.btn-toolbar .input-group{float:left}.btn-toolbar>.btn,.btn-toolbar>.btn-group,.btn-toolbar>.input-group{margin-left:5px}.btn-group>.btn:not(:first-child):not(:last-child):not(.dropdown-toggle){border-radius:0}.btn-group>.btn:first-child{margin-left:0}.btn-group>.btn:first-child:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:last-child:not(:first-child),.btn-group>.dropdown-toggle:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.btn-group>.btn-group{float:left}.btn-group>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-bottom-left-radius:0}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{padding-right:8px;padding-left:8px}.btn-group>.btn-lg+.dropdown-toggle{padding-right:12px;padding-left:12px}.btn-group.open .dropdown-toggle{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn-group.open .dropdown-toggle.btn-link{-webkit-box-shadow:none;box-shadow:none}.btn .caret{margin-left:0}.btn-lg .caret{border-width:5px 5px 0;border-bottom-width:0}.dropup .btn-lg .caret{border-width:0 5px 5px}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group,.btn-group-vertical>.btn-group>.btn{display:block;float:none;width:100%;max-width:100%}.btn-group-vertical>.btn-group>.btn{float:none}.btn-group-vertical>.btn+.btn,.btn-group-vertical>.btn+.btn-group,.btn-group-vertical>.btn-group+.btn,.btn-group-vertical>.btn-group+.btn-group{margin-top:-1px;margin-left:0}.btn-group-vertical>.btn:not(:first-child):not(:last-child){border-radius:0}.btn-group-vertical>.btn:first-child:not(:last-child){border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn:last-child:not(:first-child){border-top-left-radius:0;border-top-right-radius:0;border-bottom-left-radius:4px}.btn-group-vertical>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group-vertical>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group-vertical>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-top-right-radius:0}.btn-group-justified{display:table;width:100%;table-layout:fixed;border-collapse:separate}.btn-group-justified>.btn,.btn-group-justified>.btn-group{display:table-cell;float:none;width:1%}.btn-group-justified>.btn-group .btn{width:100%}.btn-group-justified>.btn-group .dropdown-menu{left:auto}[data-toggle=buttons]>.btn input[type=checkbox],[data-toggle=buttons]>.btn input[type=radio],[data-toggle=buttons]>.btn-group>.btn input[type=checkbox],[data-toggle=buttons]>.btn-group>.btn input[type=radio]{position:absolute;clip:rect(0,0,0,0);pointer-events:none}.input-group{position:relative;display:table;border-collapse:separate}.input-group[class*=col-]{float:none;padding-right:0;padding-left:0}.input-group .form-control{position:relative;z-index:2;float:left;width:100%;margin-bottom:0}.input-group-lg>.form-control,.input-group-lg>.input-group-addon,.input-group-lg>.input-group-btn>.btn{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-group-lg>.form-control,select.input-group-lg>.input-group-addon,select.input-group-lg>.input-group-btn>.btn{height:46px;line-height:46px}select[multiple].input-group-lg>.form-control,select[multiple].input-group-lg>.input-group-addon,select[multiple].input-group-lg>.input-group-btn>.btn,textarea.input-group-lg>.form-control,textarea.input-group-lg>.input-group-addon,textarea.input-group-lg>.input-group-btn>.btn{height:auto}.input-group-sm>.form-control,.input-group-sm>.input-group-addon,.input-group-sm>.input-group-btn>.btn{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-group-sm>.form-control,select.input-group-sm>.input-group-addon,select.input-group-sm>.input-group-btn>.btn{height:30px;line-height:30px}select[multiple].input-group-sm>.form-control,select[multiple].input-group-sm>.input-group-addon,select[multiple].input-group-sm>.input-group-btn>.btn,textarea.input-group-sm>.form-control,textarea.input-group-sm>.input-group-addon,textarea.input-group-sm>.input-group-btn>.btn{height:auto}.input-group .form-control,.input-group-addon,.input-group-btn{display:table-cell}.input-group .form-control:not(:first-child):not(:last-child),.input-group-addon:not(:first-child):not(:last-child),.input-group-btn:not(:first-child):not(:last-child){border-radius:0}.input-group-addon,.input-group-btn{width:1%;white-space:nowrap;vertical-align:middle}.input-group-addon{padding:6px 12px;font-size:14px;font-weight:400;line-height:1;color:#555;text-align:center;background-color:#eee;border:1px solid #ccc;border-radius:4px}.input-group-addon.input-sm{padding:5px 10px;font-size:12px;border-radius:3px}.input-group-addon.input-lg{padding:10px 16px;font-size:18px;border-radius:6px}.input-group-addon input[type=checkbox],.input-group-addon input[type=radio]{margin-top:0}.input-group .form-control:first-child,.input-group-addon:first-child,.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group>.btn,.input-group-btn:first-child>.dropdown-toggle,.input-group-btn:last-child>.btn-group:not(:last-child)>.btn,.input-group-btn:last-child>.btn:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.input-group-addon:first-child{border-right:0}.input-group .form-control:last-child,.input-group-addon:last-child,.input-group-btn:first-child>.btn-group:not(:first-child)>.btn,.input-group-btn:first-child>.btn:not(:first-child),.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group>.btn,.input-group-btn:last-child>.dropdown-toggle{border-top-left-radius:0;border-bottom-left-radius:0}.input-group-addon:last-child{border-left:0}.input-group-btn{position:relative;font-size:0;white-space:nowrap}.input-group-btn>.btn{position:relative}.input-group-btn>.btn+.btn{margin-left:-1px}.input-group-btn>.btn:active,.input-group-btn>.btn:focus,.input-group-btn>.btn:hover{z-index:2}.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group{margin-right:-1px}.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group{z-index:2;margin-left:-1px}.nav{padding-left:0;margin-bottom:0;list-style:none}.nav>li{position:relative;display:block}.nav>li>a{position:relative;display:block;padding:10px 15px}.nav>li>a:focus,.nav>li>a:hover{text-decoration:none;background-color:#eee}.nav>li.disabled>a{color:#777}.nav>li.disabled>a:focus,.nav>li.disabled>a:hover{color:#777;text-decoration:none;cursor:not-allowed;background-color:transparent}.nav .open>a,.nav .open>a:focus,.nav .open>a:hover{background-color:#eee;border-color:#337ab7}.nav .nav-divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.nav>li>a>img{max-width:none}.nav-tabs{border-bottom:1px solid #ddd}.nav-tabs>li{float:left;margin-bottom:-1px}.nav-tabs>li>a{margin-right:2px;line-height:1.42857143;border:1px solid transparent;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover{border-color:#eee #eee #ddd}.nav-tabs>li.active>a,.nav-tabs>li.active>a:focus,.nav-tabs>li.active>a:hover{color:#555;cursor:default;background-color:#fff;border:1px solid #ddd;border-bottom-color:transparent}.nav-tabs.nav-justified{width:100%;border-bottom:0}.nav-tabs.nav-justified>li{float:none}.nav-tabs.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-tabs.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-tabs.nav-justified>li{display:table-cell;width:1%}.nav-tabs.nav-justified>li>a{margin-bottom:0}}.nav-tabs.nav-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs.nav-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border-bottom-color:#fff}}.nav-pills>li{float:left}.nav-pills>li>a{border-radius:4px}.nav-pills>li+li{margin-left:2px}.nav-pills>li.active>a,.nav-pills>li.active>a:focus,.nav-pills>li.active>a:hover{color:#fff;background-color:#337ab7}.nav-stacked>li{float:none}.nav-stacked>li+li{margin-top:2px;margin-left:0}.nav-justified{width:100%}.nav-justified>li{float:none}.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-justified>li{display:table-cell;width:1%}.nav-justified>li>a{margin-bottom:0}}.nav-tabs-justified{border-bottom:0}.nav-tabs-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border-bottom-color:#fff}}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.nav-tabs .dropdown-menu{margin-top:-1px;border-top-left-radius:0;border-top-right-radius:0}.navbar{position:relative;min-height:50px;margin-bottom:20px;border:1px solid transparent}@media (min-width:768px){.navbar{border-radius:4px}}@media (min-width:768px){.navbar-header{float:left}}.navbar-collapse{padding-right:15px;padding-left:15px;overflow-x:visible;-webkit-overflow-scrolling:touch;border-top:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1)}.navbar-collapse.in{overflow-y:auto}@media (min-width:768px){.navbar-collapse{width:auto;border-top:0;-webkit-box-shadow:none;box-shadow:none}.navbar-collapse.collapse{display:block!important;height:auto!important;padding-bottom:0;overflow:visible!important}.navbar-collapse.in{overflow-y:visible}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse,.navbar-static-top .navbar-collapse{padding-right:0;padding-left:0}}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:340px}@media (max-device-width:480px) and (orientation:landscape){.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:200px}}.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:0;margin-left:0}}.navbar-static-top{z-index:1000;border-width:0 0 1px}@media (min-width:768px){.navbar-static-top{border-radius:0}}.navbar-fixed-bottom,.navbar-fixed-top{position:fixed;right:0;left:0;z-index:1030}@media (min-width:768px){.navbar-fixed-bottom,.navbar-fixed-top{border-radius:0}}.navbar-fixed-top{top:0;border-width:0 0 1px}.navbar-fixed-bottom{bottom:0;margin-bottom:0;border-width:1px 0 0}.navbar-brand{float:left;height:50px;padding:15px 15px;font-size:18px;line-height:20px}.navbar-brand:focus,.navbar-brand:hover{text-decoration:none}.navbar-brand>img{display:block}@media (min-width:768px){.navbar>.container .navbar-brand,.navbar>.container-fluid .navbar-brand{margin-left:-15px}}.navbar-toggle{position:relative;float:right;padding:9px 10px;margin-top:8px;margin-right:15px;margin-bottom:8px;background-color:transparent;background-image:none;border:1px solid transparent;border-radius:4px}.navbar-toggle:focus{outline:0}.navbar-toggle .icon-bar{display:block;width:22px;height:2px;border-radius:1px}.navbar-toggle .icon-bar+.icon-bar{margin-top:4px}@media (min-width:768px){.navbar-toggle{display:none}}.navbar-nav{margin:7.5px -15px}.navbar-nav>li>a{padding-top:10px;padding-bottom:10px;line-height:20px}@media (max-width:767px){.navbar-nav .open .dropdown-menu{position:static;float:none;width:auto;margin-top:0;background-color:transparent;border:0;-webkit-box-shadow:none;box-shadow:none}.navbar-nav .open .dropdown-menu .dropdown-header,.navbar-nav .open .dropdown-menu>li>a{padding:5px 15px 5px 25px}.navbar-nav .open .dropdown-menu>li>a{line-height:20px}.navbar-nav .open .dropdown-menu>li>a:focus,.navbar-nav .open .dropdown-menu>li>a:hover{background-image:none}}@media (min-width:768px){.navbar-nav{float:left;margin:0}.navbar-nav>li{float:left}.navbar-nav>li>a{padding-top:15px;padding-bottom:15px}}.navbar-form{padding:10px 15px;margin-top:8px;margin-right:-15px;margin-bottom:8px;margin-left:-15px;border-top:1px solid transparent;border-bottom:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1)}@media (min-width:768px){.navbar-form .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.navbar-form .form-control{display:inline-block;width:auto;vertical-align:middle}.navbar-form .form-control-static{display:inline-block}.navbar-form .input-group{display:inline-table;vertical-align:middle}.navbar-form .input-group .form-control,.navbar-form .input-group .input-group-addon,.navbar-form .input-group .input-group-btn{width:auto}.navbar-form .input-group>.form-control{width:100%}.navbar-form .control-label{margin-bottom:0;vertical-align:middle}.navbar-form .checkbox,.navbar-form .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.navbar-form .checkbox label,.navbar-form .radio label{padding-left:0}.navbar-form .checkbox input[type=checkbox],.navbar-form .radio input[type=radio]{position:relative;margin-left:0}.navbar-form .has-feedback .form-control-feedback{top:0}}@media (max-width:767px){.navbar-form .form-group{margin-bottom:5px}.navbar-form .form-group:last-child{margin-bottom:0}}@media (min-width:768px){.navbar-form{width:auto;padding-top:0;padding-bottom:0;margin-right:0;margin-left:0;border:0;-webkit-box-shadow:none;box-shadow:none}}.navbar-nav>li>.dropdown-menu{margin-top:0;border-top-left-radius:0;border-top-right-radius:0}.navbar-fixed-bottom .navbar-nav>li>.dropdown-menu{margin-bottom:0;border-top-left-radius:4px;border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.navbar-btn{margin-top:8px;margin-bottom:8px}.navbar-btn.btn-sm{margin-top:10px;margin-bottom:10px}.navbar-btn.btn-xs{margin-top:14px;margin-bottom:14px}.navbar-text{margin-top:15px;margin-bottom:15px}@media (min-width:768px){.navbar-text{float:left;margin-right:15px;margin-left:15px}}@media (min-width:768px){.navbar-left{float:left!important}.navbar-right{float:right!important;margin-right:-15px}.navbar-right~.navbar-right{margin-right:0}}.navbar-default{background-color:#f8f8f8;border-color:#e7e7e7}.navbar-default .navbar-brand{color:#777}.navbar-default .navbar-brand:focus,.navbar-default .navbar-brand:hover{color:#5e5e5e;background-color:transparent}.navbar-default .navbar-text{color:#777}.navbar-default .navbar-nav>li>a{color:#777}.navbar-default .navbar-nav>li>a:focus,.navbar-default .navbar-nav>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav>.active>a,.navbar-default .navbar-nav>.active>a:focus,.navbar-default .navbar-nav>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav>.disabled>a,.navbar-default .navbar-nav>.disabled>a:focus,.navbar-default .navbar-nav>.disabled>a:hover{color:#ccc;background-color:transparent}.navbar-default .navbar-toggle{border-color:#ddd}.navbar-default .navbar-toggle:focus,.navbar-default .navbar-toggle:hover{background-color:#ddd}.navbar-default .navbar-toggle .icon-bar{background-color:#888}.navbar-default .navbar-collapse,.navbar-default .navbar-form{border-color:#e7e7e7}.navbar-default .navbar-nav>.open>a,.navbar-default .navbar-nav>.open>a:focus,.navbar-default .navbar-nav>.open>a:hover{color:#555;background-color:#e7e7e7}@media (max-width:767px){.navbar-default .navbar-nav .open .dropdown-menu>li>a{color:#777}.navbar-default .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav .open .dropdown-menu>.active>a,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#ccc;background-color:transparent}}.navbar-default .navbar-link{color:#777}.navbar-default .navbar-link:hover{color:#333}.navbar-default .btn-link{color:#777}.navbar-default .btn-link:focus,.navbar-default .btn-link:hover{color:#333}.navbar-default .btn-link[disabled]:focus,.navbar-default .btn-link[disabled]:hover,fieldset[disabled] .navbar-default .btn-link:focus,fieldset[disabled] .navbar-default .btn-link:hover{color:#ccc}.navbar-inverse{background-color:#222;border-color:#080808}.navbar-inverse .navbar-brand{color:#9d9d9d}.navbar-inverse .navbar-brand:focus,.navbar-inverse .navbar-brand:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-text{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a:focus,.navbar-inverse .navbar-nav>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav>.active>a,.navbar-inverse .navbar-nav>.active>a:focus,.navbar-inverse .navbar-nav>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav>.disabled>a,.navbar-inverse .navbar-nav>.disabled>a:focus,.navbar-inverse .navbar-nav>.disabled>a:hover{color:#444;background-color:transparent}.navbar-inverse .navbar-toggle{border-color:#333}.navbar-inverse .navbar-toggle:focus,.navbar-inverse .navbar-toggle:hover{background-color:#333}.navbar-inverse .navbar-toggle .icon-bar{background-color:#fff}.navbar-inverse .navbar-collapse,.navbar-inverse .navbar-form{border-color:#101010}.navbar-inverse .navbar-nav>.open>a,.navbar-inverse .navbar-nav>.open>a:focus,.navbar-inverse .navbar-nav>.open>a:hover{color:#fff;background-color:#080808}@media (max-width:767px){.navbar-inverse .navbar-nav .open .dropdown-menu>.dropdown-header{border-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu .divider{background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#444;background-color:transparent}}.navbar-inverse .navbar-link{color:#9d9d9d}.navbar-inverse .navbar-link:hover{color:#fff}.navbar-inverse .btn-link{color:#9d9d9d}.navbar-inverse .btn-link:focus,.navbar-inverse .btn-link:hover{color:#fff}.navbar-inverse .btn-link[disabled]:focus,.navbar-inverse .btn-link[disabled]:hover,fieldset[disabled] .navbar-inverse .btn-link:focus,fieldset[disabled] .navbar-inverse .btn-link:hover{color:#444}.breadcrumb{padding:8px 15px;margin-bottom:20px;list-style:none;background-color:#f5f5f5;border-radius:4px}.breadcrumb>li{display:inline-block}.breadcrumb>li+li:before{padding:0 5px;color:#ccc;content:"/\00a0"}.breadcrumb>.active{color:#777}.pagination{display:inline-block;padding-left:0;margin:20px 0;border-radius:4px}.pagination>li{display:inline}.pagination>li>a,.pagination>li>span{position:relative;float:left;padding:6px 12px;margin-left:-1px;line-height:1.42857143;color:#337ab7;text-decoration:none;background-color:#fff;border:1px solid #ddd}.pagination>li:first-child>a,.pagination>li:first-child>span{margin-left:0;border-top-left-radius:4px;border-bottom-left-radius:4px}.pagination>li:last-child>a,.pagination>li:last-child>span{border-top-right-radius:4px;border-bottom-right-radius:4px}.pagination>li>a:focus,.pagination>li>a:hover,.pagination>li>span:focus,.pagination>li>span:hover{z-index:3;color:#23527c;background-color:#eee;border-color:#ddd}.pagination>.active>a,.pagination>.active>a:focus,.pagination>.active>a:hover,.pagination>.active>span,.pagination>.active>span:focus,.pagination>.active>span:hover{z-index:2;color:#fff;cursor:default;background-color:#337ab7;border-color:#337ab7}.pagination>.disabled>a,.pagination>.disabled>a:focus,.pagination>.disabled>a:hover,.pagination>.disabled>span,.pagination>.disabled>span:focus,.pagination>.disabled>span:hover{color:#777;cursor:not-allowed;background-color:#fff;border-color:#ddd}.pagination-lg>li>a,.pagination-lg>li>span{padding:10px 16px;font-size:18px;line-height:1.3333333}.pagination-lg>li:first-child>a,.pagination-lg>li:first-child>span{border-top-left-radius:6px;border-bottom-left-radius:6px}.pagination-lg>li:last-child>a,.pagination-lg>li:last-child>span{border-top-right-radius:6px;border-bottom-right-radius:6px}.pagination-sm>li>a,.pagination-sm>li>span{padding:5px 10px;font-size:12px;line-height:1.5}.pagination-sm>li:first-child>a,.pagination-sm>li:first-child>span{border-top-left-radius:3px;border-bottom-left-radius:3px}.pagination-sm>li:last-child>a,.pagination-sm>li:last-child>span{border-top-right-radius:3px;border-bottom-right-radius:3px}.pager{padding-left:0;margin:20px 0;text-align:center;list-style:none}.pager li{display:inline}.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#fff;border:1px solid #ddd;border-radius:15px}.pager li>a:focus,.pager li>a:hover{text-decoration:none;background-color:#eee}.pager .next>a,.pager .next>span{float:right}.pager .previous>a,.pager .previous>span{float:left}.pager .disabled>a,.pager .disabled>a:focus,.pager .disabled>a:hover,.pager .disabled>span{color:#777;cursor:not-allowed;background-color:#fff}.label{display:inline;padding:.2em .6em .3em;font-size:75%;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:.25em}a.label:focus,a.label:hover{color:#fff;text-decoration:none;cursor:pointer}.label:empty{display:none}.btn .label{position:relative;top:-1px}.label-default{background-color:#777}.label-default[href]:focus,.label-default[href]:hover{background-color:#5e5e5e}.label-primary{background-color:#337ab7}.label-primary[href]:focus,.label-primary[href]:hover{background-color:#286090}.label-success{background-color:#5cb85c}.label-success[href]:focus,.label-success[href]:hover{background-color:#449d44}.label-info{background-color:#5bc0de}.label-info[href]:focus,.label-info[href]:hover{background-color:#31b0d5}.label-warning{background-color:#f0ad4e}.label-warning[href]:focus,.label-warning[href]:hover{background-color:#ec971f}.label-danger{background-color:#d9534f}.label-danger[href]:focus,.label-danger[href]:hover{background-color:#c9302c}.badge{display:inline-block;min-width:10px;padding:3px 7px;font-size:12px;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:middle;background-color:#777;border-radius:10px}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.btn-group-xs>.btn .badge,.btn-xs .badge{top:0;padding:1px 5px}a.badge:focus,a.badge:hover{color:#fff;text-decoration:none;cursor:pointer}.list-group-item.active>.badge,.nav-pills>.active>a>.badge{color:#337ab7;background-color:#fff}.list-group-item>.badge{float:right}.list-group-item>.badge+.badge{margin-right:5px}.nav-pills>li>a>.badge{margin-left:3px}.jumbotron{padding-top:30px;padding-bottom:30px;margin-bottom:30px;color:inherit;background-color:#eee}.jumbotron .h1,.jumbotron h1{color:inherit}.jumbotron p{margin-bottom:15px;font-size:21px;font-weight:200}.jumbotron>hr{border-top-color:#d5d5d5}.container .jumbotron,.container-fluid .jumbotron{border-radius:6px}.jumbotron .container{max-width:100%}@media screen and (min-width:768px){.jumbotron{padding-top:48px;padding-bottom:48px}.container .jumbotron,.container-fluid .jumbotron{padding-right:60px;padding-left:60px}.jumbotron .h1,.jumbotron h1{font-size:63px}}.thumbnail{display:block;padding:4px;margin-bottom:20px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:border .2s ease-in-out;-o-transition:border .2s ease-in-out;transition:border .2s ease-in-out}.thumbnail a>img,.thumbnail>img{margin-right:auto;margin-left:auto}a.thumbnail.active,a.thumbnail:focus,a.thumbnail:hover{border-color:#337ab7}.thumbnail .caption{padding:9px;color:#333}.alert{padding:15px;margin-bottom:20px;border:1px solid transparent;border-radius:4px}.alert h4{margin-top:0;color:inherit}.alert .alert-link{font-weight:700}.alert>p,.alert>ul{margin-bottom:0}.alert>p+p{margin-top:5px}.alert-dismissable,.alert-dismissible{padding-right:35px}.alert-dismissable .close,.alert-dismissible .close{position:relative;top:-2px;right:-21px;color:inherit}.alert-success{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.alert-success hr{border-top-color:#c9e2b3}.alert-success .alert-link{color:#2b542c}.alert-info{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.alert-info hr{border-top-color:#a6e1ec}.alert-info .alert-link{color:#245269}.alert-warning{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.alert-warning hr{border-top-color:#f7e1b5}.alert-warning .alert-link{color:#66512c}.alert-danger{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.alert-danger hr{border-top-color:#e4b9c0}.alert-danger .alert-link{color:#843534}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{height:20px;margin-bottom:20px;overflow:hidden;background-color:#f5f5f5;border-radius:4px;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,.1);box-shadow:inset 0 1px 2px rgba(0,0,0,.1)}.progress-bar{float:left;width:0;height:100%;font-size:12px;line-height:20px;color:#fff;text-align:center;background-color:#337ab7;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);-webkit-transition:width .6s ease;-o-transition:width .6s ease;transition:width .6s ease}.progress-bar-striped,.progress-striped .progress-bar{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);-webkit-background-size:40px 40px;background-size:40px 40px}.progress-bar.active,.progress.active .progress-bar{-webkit-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-bar-success{background-color:#5cb85c}.progress-striped .progress-bar-success{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-info{background-color:#5bc0de}.progress-striped .progress-bar-info{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-warning{background-color:#f0ad4e}.progress-striped .progress-bar-warning{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-danger{background-color:#d9534f}.progress-striped .progress-bar-danger{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.media{margin-top:15px}.media:first-child{margin-top:0}.media,.media-body{overflow:hidden;zoom:1}.media-body{width:10000px}.media-object{display:block}.media-object.img-thumbnail{max-width:none}.media-right,.media>.pull-right{padding-left:10px}.media-left,.media>.pull-left{padding-right:10px}.media-body,.media-left,.media-right{display:table-cell;vertical-align:top}.media-middle{vertical-align:middle}.media-bottom{vertical-align:bottom}.media-heading{margin-top:0;margin-bottom:5px}.media-list{padding-left:0;list-style:none}.list-group{padding-left:0;margin-bottom:20px}.list-group-item{position:relative;display:block;padding:10px 15px;margin-bottom:-1px;background-color:#fff;border:1px solid #ddd}.list-group-item:first-child{border-top-left-radius:4px;border-top-right-radius:4px}.list-group-item:last-child{margin-bottom:0;border-bottom-right-radius:4px;border-bottom-left-radius:4px}a.list-group-item,button.list-group-item{color:#555}a.list-group-item .list-group-item-heading,button.list-group-item .list-group-item-heading{color:#333}a.list-group-item:focus,a.list-group-item:hover,button.list-group-item:focus,button.list-group-item:hover{color:#555;text-decoration:none;background-color:#f5f5f5}button.list-group-item{width:100%;text-align:left}.list-group-item.disabled,.list-group-item.disabled:focus,.list-group-item.disabled:hover{color:#777;cursor:not-allowed;background-color:#eee}.list-group-item.disabled .list-group-item-heading,.list-group-item.disabled:focus .list-group-item-heading,.list-group-item.disabled:hover .list-group-item-heading{color:inherit}.list-group-item.disabled .list-group-item-text,.list-group-item.disabled:focus .list-group-item-text,.list-group-item.disabled:hover .list-group-item-text{color:#777}.list-group-item.active,.list-group-item.active:focus,.list-group-item.active:hover{z-index:2;color:#fff;background-color:#337ab7;border-color:#337ab7}.list-group-item.active .list-group-item-heading,.list-group-item.active .list-group-item-heading>.small,.list-group-item.active .list-group-item-heading>small,.list-group-item.active:focus .list-group-item-heading,.list-group-item.active:focus .list-group-item-heading>.small,.list-group-item.active:focus .list-group-item-heading>small,.list-group-item.active:hover .list-group-item-heading,.list-group-item.active:hover .list-group-item-heading>.small,.list-group-item.active:hover .list-group-item-heading>small{color:inherit}.list-group-item.active .list-group-item-text,.list-group-item.active:focus .list-group-item-text,.list-group-item.active:hover .list-group-item-text{color:#c7ddef}.list-group-item-success{color:#3c763d;background-color:#dff0d8}a.list-group-item-success,button.list-group-item-success{color:#3c763d}a.list-group-item-success .list-group-item-heading,button.list-group-item-success .list-group-item-heading{color:inherit}a.list-group-item-success:focus,a.list-group-item-success:hover,button.list-group-item-success:focus,button.list-group-item-success:hover{color:#3c763d;background-color:#d0e9c6}a.list-group-item-success.active,a.list-group-item-success.active:focus,a.list-group-item-success.active:hover,button.list-group-item-success.active,button.list-group-item-success.active:focus,button.list-group-item-success.active:hover{color:#fff;background-color:#3c763d;border-color:#3c763d}.list-group-item-info{color:#31708f;background-color:#d9edf7}a.list-group-item-info,button.list-group-item-info{color:#31708f}a.list-group-item-info .list-group-item-heading,button.list-group-item-info .list-group-item-heading{color:inherit}a.list-group-item-info:focus,a.list-group-item-info:hover,button.list-group-item-info:focus,button.list-group-item-info:hover{color:#31708f;background-color:#c4e3f3}a.list-group-item-info.active,a.list-group-item-info.active:focus,a.list-group-item-info.active:hover,button.list-group-item-info.active,button.list-group-item-info.active:focus,button.list-group-item-info.active:hover{color:#fff;background-color:#31708f;border-color:#31708f}.list-group-item-warning{color:#8a6d3b;background-color:#fcf8e3}a.list-group-item-warning,button.list-group-item-warning{color:#8a6d3b}a.list-group-item-warning .list-group-item-heading,button.list-group-item-warning .list-group-item-heading{color:inherit}a.list-group-item-warning:focus,a.list-group-item-warning:hover,button.list-group-item-warning:focus,button.list-group-item-warning:hover{color:#8a6d3b;background-color:#faf2cc}a.list-group-item-warning.active,a.list-group-item-warning.active:focus,a.list-group-item-warning.active:hover,button.list-group-item-warning.active,button.list-group-item-warning.active:focus,button.list-group-item-warning.active:hover{color:#fff;background-color:#8a6d3b;border-color:#8a6d3b}.list-group-item-danger{color:#a94442;background-color:#f2dede}a.list-group-item-danger,button.list-group-item-danger{color:#a94442}a.list-group-item-danger .list-group-item-heading,button.list-group-item-danger .list-group-item-heading{color:inherit}a.list-group-item-danger:focus,a.list-group-item-danger:hover,button.list-group-item-danger:focus,button.list-group-item-danger:hover{color:#a94442;background-color:#ebcccc}a.list-group-item-danger.active,a.list-group-item-danger.active:focus,a.list-group-item-danger.active:hover,button.list-group-item-danger.active,button.list-group-item-danger.active:focus,button.list-group-item-danger.active:hover{color:#fff;background-color:#a94442;border-color:#a94442}.list-group-item-heading{margin-top:0;margin-bottom:5px}.list-group-item-text{margin-bottom:0;line-height:1.3}.panel{margin-bottom:20px;background-color:#fff;border:1px solid transparent;border-radius:4px;-webkit-box-shadow:0 1px 1px rgba(0,0,0,.05);box-shadow:0 1px 1px rgba(0,0,0,.05)}.panel-body{padding:15px}.panel-heading{padding:10px 15px;border-bottom:1px solid transparent;border-top-left-radius:3px;border-top-right-radius:3px}.panel-heading>.dropdown .dropdown-toggle{color:inherit}.panel-title{margin-top:0;margin-bottom:0;font-size:16px;color:inherit}.panel-title>.small,.panel-title>.small>a,.panel-title>a,.panel-title>small,.panel-title>small>a{color:inherit}.panel-footer{padding:10px 15px;background-color:#f5f5f5;border-top:1px solid #ddd;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.list-group,.panel>.panel-collapse>.list-group{margin-bottom:0}.panel>.list-group .list-group-item,.panel>.panel-collapse>.list-group .list-group-item{border-width:1px 0;border-radius:0}.panel>.list-group:first-child .list-group-item:first-child,.panel>.panel-collapse>.list-group:first-child .list-group-item:first-child{border-top:0;border-top-left-radius:3px;border-top-right-radius:3px}.panel>.list-group:last-child .list-group-item:last-child,.panel>.panel-collapse>.list-group:last-child .list-group-item:last-child{border-bottom:0;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.panel-heading+.panel-collapse>.list-group .list-group-item:first-child{border-top-left-radius:0;border-top-right-radius:0}.panel-heading+.list-group .list-group-item:first-child{border-top-width:0}.list-group+.panel-footer{border-top-width:0}.panel>.panel-collapse>.table,.panel>.table,.panel>.table-responsive>.table{margin-bottom:0}.panel>.panel-collapse>.table caption,.panel>.table caption,.panel>.table-responsive>.table caption{padding-right:15px;padding-left:15px}.panel>.table-responsive:first-child>.table:first-child,.panel>.table:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child,.panel>.table:first-child>thead:first-child>tr:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table:first-child>thead:first-child>tr:first-child th:first-child{border-top-left-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table:first-child>thead:first-child>tr:first-child th:last-child{border-top-right-radius:3px}.panel>.table-responsive:last-child>.table:last-child,.panel>.table:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:first-child{border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:last-child{border-bottom-right-radius:3px}.panel>.panel-body+.table,.panel>.panel-body+.table-responsive,.panel>.table+.panel-body,.panel>.table-responsive+.panel-body{border-top:1px solid #ddd}.panel>.table>tbody:first-child>tr:first-child td,.panel>.table>tbody:first-child>tr:first-child th{border-top:0}.panel>.table-bordered,.panel>.table-responsive>.table-bordered{border:0}.panel>.table-bordered>tbody>tr>td:first-child,.panel>.table-bordered>tbody>tr>th:first-child,.panel>.table-bordered>tfoot>tr>td:first-child,.panel>.table-bordered>tfoot>tr>th:first-child,.panel>.table-bordered>thead>tr>td:first-child,.panel>.table-bordered>thead>tr>th:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:first-child,.panel>.table-responsive>.table-bordered>thead>tr>td:first-child,.panel>.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.panel>.table-bordered>tbody>tr>td:last-child,.panel>.table-bordered>tbody>tr>th:last-child,.panel>.table-bordered>tfoot>tr>td:last-child,.panel>.table-bordered>tfoot>tr>th:last-child,.panel>.table-bordered>thead>tr>td:last-child,.panel>.table-bordered>thead>tr>th:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:last-child,.panel>.table-responsive>.table-bordered>thead>tr>td:last-child,.panel>.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.panel>.table-bordered>tbody>tr:first-child>td,.panel>.table-bordered>tbody>tr:first-child>th,.panel>.table-bordered>thead>tr:first-child>td,.panel>.table-bordered>thead>tr:first-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>th,.panel>.table-responsive>.table-bordered>thead>tr:first-child>td,.panel>.table-responsive>.table-bordered>thead>tr:first-child>th{border-bottom:0}.panel>.table-bordered>tbody>tr:last-child>td,.panel>.table-bordered>tbody>tr:last-child>th,.panel>.table-bordered>tfoot>tr:last-child>td,.panel>.table-bordered>tfoot>tr:last-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>th,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>td,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}.panel>.table-responsive{margin-bottom:0;border:0}.panel-group{margin-bottom:20px}.panel-group .panel{margin-bottom:0;border-radius:4px}.panel-group .panel+.panel{margin-top:5px}.panel-group .panel-heading{border-bottom:0}.panel-group .panel-heading+.panel-collapse>.list-group,.panel-group .panel-heading+.panel-collapse>.panel-body{border-top:1px solid #ddd}.panel-group .panel-footer{border-top:0}.panel-group .panel-footer+.panel-collapse .panel-body{border-bottom:1px solid #ddd}.panel-default{border-color:#ddd}.panel-default>.panel-heading{color:#333;background-color:#f5f5f5;border-color:#ddd}.panel-default>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ddd}.panel-default>.panel-heading .badge{color:#f5f5f5;background-color:#333}.panel-default>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ddd}.panel-primary{border-color:#337ab7}.panel-primary>.panel-heading{color:#fff;background-color:#337ab7;border-color:#337ab7}.panel-primary>.panel-heading+.panel-collapse>.panel-body{border-top-color:#337ab7}.panel-primary>.panel-heading .badge{color:#337ab7;background-color:#fff}.panel-primary>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#337ab7}.panel-success{border-color:#d6e9c6}.panel-success>.panel-heading{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.panel-success>.panel-heading+.panel-collapse>.panel-body{border-top-color:#d6e9c6}.panel-success>.panel-heading .badge{color:#dff0d8;background-color:#3c763d}.panel-success>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#d6e9c6}.panel-info{border-color:#bce8f1}.panel-info>.panel-heading{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.panel-info>.panel-heading+.panel-collapse>.panel-body{border-top-color:#bce8f1}.panel-info>.panel-heading .badge{color:#d9edf7;background-color:#31708f}.panel-info>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#bce8f1}.panel-warning{border-color:#faebcc}.panel-warning>.panel-heading{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.panel-warning>.panel-heading+.panel-collapse>.panel-body{border-top-color:#faebcc}.panel-warning>.panel-heading .badge{color:#fcf8e3;background-color:#8a6d3b}.panel-warning>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#faebcc}.panel-danger{border-color:#ebccd1}.panel-danger>.panel-heading{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.panel-danger>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ebccd1}.panel-danger>.panel-heading .badge{color:#f2dede;background-color:#a94442}.panel-danger>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ebccd1}.embed-responsive{position:relative;display:block;height:0;padding:0;overflow:hidden}.embed-responsive .embed-responsive-item,.embed-responsive embed,.embed-responsive iframe,.embed-responsive object,.embed-responsive video{position:absolute;top:0;bottom:0;left:0;width:100%;height:100%;border:0}.embed-responsive-16by9{padding-bottom:56.25%}.embed-responsive-4by3{padding-bottom:75%}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.05);box-shadow:inset 0 1px 1px rgba(0,0,0,.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,.15)}.well-lg{padding:24px;border-radius:6px}.well-sm{padding:9px;border-radius:3px}.close{float:right;font-size:21px;font-weight:700;line-height:1;color:#000;text-shadow:0 1px 0 #fff;filter:alpha(opacity=20);opacity:.2}.close:focus,.close:hover{color:#000;text-decoration:none;cursor:pointer;filter:alpha(opacity=50);opacity:.5}button.close{-webkit-appearance:none;padding:0;cursor:pointer;background:0 0;border:0}.modal-open{overflow:hidden}.modal{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1050;display:none;overflow:hidden;-webkit-overflow-scrolling:touch;outline:0}.modal.fade .modal-dialog{-webkit-transition:-webkit-transform .3s ease-out;-o-transition:-o-transform .3s ease-out;transition:transform .3s ease-out;-webkit-transform:translate(0,-25%);-ms-transform:translate(0,-25%);-o-transform:translate(0,-25%);transform:translate(0,-25%)}.modal.in .modal-dialog{-webkit-transform:translate(0,0);-ms-transform:translate(0,0);-o-transform:translate(0,0);transform:translate(0,0)}.modal-open .modal{overflow-x:hidden;overflow-y:auto}.modal-dialog{position:relative;width:auto;margin:10px}.modal-content{position:relative;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #999;border:1px solid rgba(0,0,0,.2);border-radius:6px;outline:0;-webkit-box-shadow:0 3px 9px rgba(0,0,0,.5);box-shadow:0 3px 9px rgba(0,0,0,.5)}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000}.modal-backdrop.fade{filter:alpha(opacity=0);opacity:0}.modal-backdrop.in{filter:alpha(opacity=50);opacity:.5}.modal-header{min-height:16.43px;padding:15px;border-bottom:1px solid #e5e5e5}.modal-header .close{margin-top:-2px}.modal-title{margin:0;line-height:1.42857143}.modal-body{position:relative;padding:15px}.modal-footer{padding:15px;text-align:right;border-top:1px solid #e5e5e5}.modal-footer .btn+.btn{margin-bottom:0;margin-left:5px}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.modal-footer .btn-block+.btn-block{margin-left:0}.modal-scrollbar-measure{position:absolute;top:-9999px;width:50px;height:50px;overflow:scroll}@media (min-width:768px){.modal-dialog{width:600px;margin:30px auto}.modal-content{-webkit-box-shadow:0 5px 15px rgba(0,0,0,.5);box-shadow:0 5px 15px rgba(0,0,0,.5)}.modal-sm{width:300px}}@media (min-width:992px){.modal-lg{width:900px}}.tooltip{position:absolute;z-index:1070;display:block;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:12px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;filter:alpha(opacity=0);opacity:0;line-break:auto}.tooltip.in{filter:alpha(opacity=90);opacity:.9}.tooltip.top{padding:5px 0;margin-top:-3px}.tooltip.right{padding:0 5px;margin-left:3px}.tooltip.bottom{padding:5px 0;margin-top:3px}.tooltip.left{padding:0 5px;margin-left:-3px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#fff;text-align:center;background-color:#000;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-left .tooltip-arrow{right:5px;bottom:0;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-right .tooltip-arrow{bottom:0;left:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-width:5px 5px 5px 0;border-right-color:#000}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-width:5px 0 5px 5px;border-left-color:#000}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-left .tooltip-arrow{top:0;right:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-right .tooltip-arrow{top:0;left:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.popover{position:absolute;top:0;left:0;z-index:1060;display:none;max-width:276px;padding:1px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.2);border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,.2);box-shadow:0 5px 10px rgba(0,0,0,.2);line-break:auto}.popover.top{margin-top:-10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-left:-10px}.popover-title{padding:8px 14px;margin:0;font-size:14px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;border-radius:5px 5px 0 0}.popover-content{padding:9px 14px}.popover>.arrow,.popover>.arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid}.popover>.arrow{border-width:11px}.popover>.arrow:after{content:"";border-width:10px}.popover.top>.arrow{bottom:-11px;left:50%;margin-left:-11px;border-top-color:#999;border-top-color:rgba(0,0,0,.25);border-bottom-width:0}.popover.top>.arrow:after{bottom:1px;margin-left:-10px;content:" ";border-top-color:#fff;border-bottom-width:0}.popover.right>.arrow{top:50%;left:-11px;margin-top:-11px;border-right-color:#999;border-right-color:rgba(0,0,0,.25);border-left-width:0}.popover.right>.arrow:after{bottom:-10px;left:1px;content:" ";border-right-color:#fff;border-left-width:0}.popover.bottom>.arrow{top:-11px;left:50%;margin-left:-11px;border-top-width:0;border-bottom-color:#999;border-bottom-color:rgba(0,0,0,.25)}.popover.bottom>.arrow:after{top:1px;margin-left:-10px;content:" ";border-top-width:0;border-bottom-color:#fff}.popover.left>.arrow{top:50%;right:-11px;margin-top:-11px;border-right-width:0;border-left-color:#999;border-left-color:rgba(0,0,0,.25)}.popover.left>.arrow:after{right:1px;bottom:-10px;content:" ";border-right-width:0;border-left-color:#fff}.carousel{position:relative}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner>.item{position:relative;display:none;-webkit-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>a>img,.carousel-inner>.item>img{line-height:1}@media all and (transform-3d),(-webkit-transform-3d){.carousel-inner>.item{-webkit-transition:-webkit-transform .6s ease-in-out;-o-transition:-o-transform .6s ease-in-out;transition:transform .6s ease-in-out;-webkit-backface-visibility:hidden;backface-visibility:hidden;-webkit-perspective:1000px;perspective:1000px}.carousel-inner>.item.active.right,.carousel-inner>.item.next{left:0;-webkit-transform:translate3d(100%,0,0);transform:translate3d(100%,0,0)}.carousel-inner>.item.active.left,.carousel-inner>.item.prev{left:0;-webkit-transform:translate3d(-100%,0,0);transform:translate3d(-100%,0,0)}.carousel-inner>.item.active,.carousel-inner>.item.next.left,.carousel-inner>.item.prev.right{left:0;-webkit-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:0;bottom:0;left:0;width:15%;font-size:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6);filter:alpha(opacity=50);opacity:.5}.carousel-control.left{background-image:-webkit-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.5)),to(rgba(0,0,0,.0001)));background-image:linear-gradient(to right,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);background-repeat:repeat-x}.carousel-control.right{right:0;left:auto;background-image:-webkit-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.0001)),to(rgba(0,0,0,.5)));background-image:linear-gradient(to right,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);background-repeat:repeat-x}.carousel-control:focus,.carousel-control:hover{color:#fff;text-decoration:none;filter:alpha(opacity=90);outline:0;opacity:.9}.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{position:absolute;top:50%;z-index:5;display:inline-block;margin-top:-10px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{left:50%;margin-left:-10px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{right:50%;margin-right:-10px}.carousel-control .icon-next,.carousel-control .icon-prev{width:20px;height:20px;font-family:serif;line-height:1}.carousel-control .icon-prev:before{content:'\2039'}.carousel-control .icon-next:before{content:'\203a'}.carousel-indicators{position:absolute;bottom:10px;left:50%;z-index:15;width:60%;padding-left:0;margin-left:-30%;text-align:center;list-style:none}.carousel-indicators li{display:inline-block;width:10px;height:10px;margin:1px;text-indent:-999px;cursor:pointer;background-color:#000\9;background-color:rgba(0,0,0,0);border:1px solid #fff;border-radius:10px}.carousel-indicators .active{width:12px;height:12px;margin:0;background-color:#fff}.carousel-caption{position:absolute;right:15%;bottom:20px;left:15%;z-index:10;padding-top:20px;padding-bottom:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6)}.carousel-caption .btn{text-shadow:none}@media screen and (min-width:768px){.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{width:30px;height:30px;margin-top:-15px;font-size:30px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{margin-left:-15px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{margin-right:-15px}.carousel-caption{right:20%;left:20%;padding-bottom:30px}.carousel-indicators{bottom:20px}}.btn-group-vertical>.btn-group:after,.btn-group-vertical>.btn-group:before,.btn-toolbar:after,.btn-toolbar:before,.clearfix:after,.clearfix:before,.container-fluid:after,.container-fluid:before,.container:after,.container:before,.dl-horizontal dd:after,.dl-horizontal dd:before,.form-horizontal .form-group:after,.form-horizontal .form-group:before,.modal-footer:after,.modal-footer:before,.nav:after,.nav:before,.navbar-collapse:after,.navbar-collapse:before,.navbar-header:after,.navbar-header:before,.navbar:after,.navbar:before,.pager:after,.pager:before,.panel-body:after,.panel-body:before,.row:after,.row:before{display:table;content:" "}.btn-group-vertical>.btn-group:after,.btn-toolbar:after,.clearfix:after,.container-fluid:after,.container:after,.dl-horizontal dd:after,.form-horizontal .form-group:after,.modal-footer:after,.nav:after,.navbar-collapse:after,.navbar-header:after,.navbar:after,.pager:after,.panel-body:after,.row:after{clear:both}.center-block{display:block;margin-right:auto;margin-left:auto}.pull-right{float:right!important}.pull-left{float:left!important}.hide{display:none!important}.show{display:block!important}.invisible{visibility:hidden}.text-hide{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.hidden{display:none!important}.affix{position:fixed}@-ms-viewport{width:device-width}.visible-lg,.visible-md,.visible-sm,.visible-xs{display:none!important}.visible-lg-block,.visible-lg-inline,.visible-lg-inline-block,.visible-md-block,.visible-md-inline,.visible-md-inline-block,.visible-sm-block,.visible-sm-inline,.visible-sm-inline-block,.visible-xs-block,.visible-xs-inline,.visible-xs-inline-block{display:none!important}@media (max-width:767px){.visible-xs{display:block!important}table.visible-xs{display:table!important}tr.visible-xs{display:table-row!important}td.visible-xs,th.visible-xs{display:table-cell!important}}@media (max-width:767px){.visible-xs-block{display:block!important}}@media (max-width:767px){.visible-xs-inline{display:inline!important}}@media (max-width:767px){.visible-xs-inline-block{display:inline-block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm{display:block!important}table.visible-sm{display:table!important}tr.visible-sm{display:table-row!important}td.visible-sm,th.visible-sm{display:table-cell!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-block{display:block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline{display:inline!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline-block{display:inline-block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md{display:block!important}table.visible-md{display:table!important}tr.visible-md{display:table-row!important}td.visible-md,th.visible-md{display:table-cell!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-block{display:block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline{display:inline!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline-block{display:inline-block!important}}@media (min-width:1200px){.visible-lg{display:block!important}table.visible-lg{display:table!important}tr.visible-lg{display:table-row!important}td.visible-lg,th.visible-lg{display:table-cell!important}}@media (min-width:1200px){.visible-lg-block{display:block!important}}@media (min-width:1200px){.visible-lg-inline{display:inline!important}}@media (min-width:1200px){.visible-lg-inline-block{display:inline-block!important}}@media (max-width:767px){.hidden-xs{display:none!important}}@media (min-width:768px) and (max-width:991px){.hidden-sm{display:none!important}}@media (min-width:992px) and (max-width:1199px){.hidden-md{display:none!important}}@media (min-width:1200px){.hidden-lg{display:none!important}}.visible-print{display:none!important}@media print{.visible-print{display:block!important}table.visible-print{display:table!important}tr.visible-print{display:table-row!important}td.visible-print,th.visible-print{display:table-cell!important}}.visible-print-block{display:none!important}@media print{.visible-print-block{display:block!important}}.visible-print-inline{display:none!important}@media print{.visible-print-inline{display:inline!important}}.visible-print-inline-block{display:none!important}@media print{.visible-print-inline-block{display:inline-block!important}}@media print{.hidden-print{display:none!important}}
@@ -1594,7 +1591,7 @@ div.tocify {
 
 <h1 class="title toc-ignore">Introduction to mkin</h1>
 <h4 class="author">Johannes Ranke</h4>
-<h4 class="date">Last change 15 February 2021 (rebuilt 2021-07-23)</h4>
+<h4 class="date">Last change 15 February 2021 (rebuilt 2021-09-16)</h4>
 
 </div>
 
diff --git a/vignettes/mkin.rmd b/vignettes/mkin.rmd
index 8fcb5f9e..215fdb4c 100644
--- a/vignettes/mkin.rmd
+++ b/vignettes/mkin.rmd
@@ -16,7 +16,7 @@ vignette: >
 ---
 
 [Wissenschaftlicher Berater, Kronacher Str. 12, 79639 Grenzach-Wyhlen, Germany](https://www.jrwb.de)<br />
-[Privatdozent at the University of Bremen](http://chem.uft.uni-bremen.de/ranke/)
+Privatdozent at the University of Freiburg
 
 ```{r, include = FALSE}
 require(knitr)
diff --git a/vignettes/references.bib b/vignettes/references.bib
index 66885526..2ee2ef2b 100644
--- a/vignettes/references.bib
+++ b/vignettes/references.bib
@@ -1,6 +1,3 @@
-% This file was originally created with JabRef 2.7b.
-% Encoding: ISO8859_1
-
 @BOOK{bates1988,
   title = {Nonlinear regression and its applications},
   publisher = {Wiley-Interscience},
@@ -97,7 +94,7 @@
 @Techreport{ranke2014,
   title = {{Prüfung und Validierung von Modellierungssoftware als Alternative zu
     ModelMaker 4.0}},
-  author = {J. Ranke}, 
+  author = {J. Ranke},
   year = 2014,
   institution = {Umweltbundesamt},
   volume = {Projektnummer 27452}
@@ -136,6 +133,19 @@
 }
 
 
+@Article{ranke2021,
+  AUTHOR = {Ranke, Johannes and Wöltjen, Janina and Schmidt, Jana and Comets, Emmanuelle},
+  TITLE = {Taking Kinetic Evaluations of Degradation Data to the Next Level with Nonlinear Mixed-Effects Models},
+  JOURNAL = {Environments},
+  VOLUME = {8},
+  YEAR = {2021},
+  NUMBER = {8},
+  ARTICLE-NUMBER = {71},
+  URL = {https://www.mdpi.com/2076-3298/8/8/71},
+  ISSN = {2076-3298},
+  ABSTRACT = {When data on the degradation of a chemical substance have been collected in a number of environmental media (e.g., in different soils), two strategies can be followed for data evaluation. Currently, each individual dataset is evaluated separately, and representative degradation parameters are obtained by calculating averages of the kinetic parameters. However, such averages often take on unrealistic values if certain degradation parameters are ill-defined in some of the datasets. Moreover, the most appropriate degradation model is selected for each individual dataset, which is time consuming and then requires workarounds for averaging parameters from different models. Therefore, a simultaneous evaluation of all available data is desirable. If the environmental media are viewed as random samples from a population, an advanced strategy based on assumptions about the statistical distribution of the kinetic parameters across the population can be used. Here, we show the advantages of such simultaneous evaluations based on nonlinear mixed-effects models that incorporate such assumptions in the evaluation process. The advantages of this approach are demonstrated using synthetically generated data with known statistical properties and using publicly available experimental degradation data on two pesticidal active substances.},
+  DOI = {10.3390/environments8080071}
+}
 
 @Article{gao11,
   Title                    = {Improving uncertainty analysis in kinetic evaluations using iteratively reweighted least squares},
@@ -146,3 +156,21 @@
   Volume                   = {45},
   Type                     = {Journal}
 }
+
+
+@article{efsa_2018_dimethenamid,
+	author = {EFSA},
+	issue = {4},
+	journal = {EFSA Journal},
+	pages = {5211},
+	title = {Peer review of the pesticide risk assessment of the active substance dimethenamid-P},
+	volume = {16},
+	year = {2018}
+}
+
+@techreport{dimethenamid_rar_2018_b8,
+  author = {{Rapporteur Member State Germany, Co-Rapporteur Member State Bulgaria}},
+  year = {2018},
+  title = {{Renewal Assessment Report Dimethenamid-P Volume 3 - B.8 Environmental fate and behaviour, Rev. 2 - November 2017}},
+  url = {https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716}
+}
diff --git a/vignettes/twa.html b/vignettes/twa.html
index 3d4ec0aa..25a4c396 100644
--- a/vignettes/twa.html
+++ b/vignettes/twa.html
@@ -253,7 +253,7 @@ code > span.er { color: #a61717; background-color: #e3d2d2; }
 
 <h1 class="title toc-ignore">Calculation of time weighted average concentrations with mkin</h1>
 <h4 class="author">Johannes Ranke</h4>
-<h4 class="date">Last change 18 September 2019 (rebuilt 2021-07-23)</h4>
+<h4 class="date">Last change 18 September 2019 (rebuilt 2021-09-16)</h4>
 
 
 
diff --git a/vignettes/web_only/dimethenamid_2018.html b/vignettes/web_only/dimethenamid_2018.html
new file mode 100644
index 00000000..cadbcdbf
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018.html
@@ -0,0 +1,2115 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+
+<meta name="author" content="Johannes Ranke" />
+
+
+<title>Example evaluations of the dimethenamid data from 2018</title>
+
+<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
+</script>
+<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
+</script>
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+<style type="text/css">html{font-family:sans-serif;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{margin:.67em 0;font-size:2em}mark{color:#000;background:#ff0}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{height:0;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}button,input,optgroup,select,textarea{margin:0;font:inherit;color:inherit}button{overflow:visible}button,select{text-transform:none}button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}input{line-height:normal}input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto}input[type=search]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none}fieldset{padding:.35em .625em .75em;margin:0 2px;border:1px solid silver}legend{padding:0;border:0}textarea{overflow:auto}optgroup{font-weight:700}table{border-spacing:0;border-collapse:collapse}td,th{padding:0}@media print{*,:after,:before{color:#000!important;text-shadow:none!important;background:0 0!important;-webkit-box-shadow:none!important;box-shadow:none!important}a,a:visited{text-decoration:underline}a[href]:after{content:" (" attr(href) ")"}abbr[title]:after{content:" (" attr(title) ")"}a[href^="javascript:"]:after,a[href^="#"]:after{content:""}blockquote,pre{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}img,tr{page-break-inside:avoid}img{max-width:100%!important}h2,h3,p{orphans:3;widows:3}h2,h3{page-break-after:avoid}.navbar{display:none}.btn>.caret,.dropup>.btn>.caret{border-top-color:#000!important}.label{border:1px solid #000}.table{border-collapse:collapse!important}.table td,.table th{background-color:#fff!important}.table-bordered td,.table-bordered th{border:1px solid #ddd!important}}@font-face{font-family:'Glyphicons Halflings';src:url(data:application/vnd.ms-fontobject;base64,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);src:url(data:application/vnd.ms-fontobject;base64,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) format('embedded-opentype'),url(data:application/font-woff;base64,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) format('woff'),url(data:application/x-font-truetype;base64,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) format('truetype'),url(data:image/svg+xml;base64,<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
<font-face units-per-em="1200" ascent="960" descent="-240" />
<missing-glyph horiz-adv-x="500" />
<glyph horiz-adv-x="0" />
<glyph horiz-adv-x="400" />
<glyph unicode=" " />
<glyph unicode="*" d="M600 1100q15 0 34 -1.5t30 -3.5l11 -1q10 -2 17.5 -10.5t7.5 -18.5v-224l158 158q7 7 18 8t19 -6l106 -106q7 -8 6 -19t-8 -18l-158 -158h224q10 0 18.5 -7.5t10.5 -17.5q6 -41 6 -75q0 -15 -1.5 -34t-3.5 -30l-1 -11q-2 -10 -10.5 -17.5t-18.5 -7.5h-224l158 -158 q7 -7 8 -18t-6 -19l-106 -106q-8 -7 -19 -6t-18 8l-158 158v-224q0 -10 -7.5 -18.5t-17.5 -10.5q-41 -6 -75 -6q-15 0 -34 1.5t-30 3.5l-11 1q-10 2 -17.5 10.5t-7.5 18.5v224l-158 -158q-7 -7 -18 -8t-19 6l-106 106q-7 8 -6 19t8 18l158 158h-224q-10 0 -18.5 7.5 t-10.5 17.5q-6 41 -6 75q0 15 1.5 34t3.5 30l1 11q2 10 10.5 17.5t18.5 7.5h224l-158 158q-7 7 -8 18t6 19l106 106q8 7 19 6t18 -8l158 -158v224q0 10 7.5 18.5t17.5 10.5q41 6 75 6z" />
<glyph unicode="+" d="M450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-350h350q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-350v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v350h-350q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5 h350v350q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xa0;" />
<glyph unicode="&#xa5;" d="M825 1100h250q10 0 12.5 -5t-5.5 -13l-364 -364q-6 -6 -11 -18h268q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-100h275q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-174q0 -11 -7.5 -18.5t-18.5 -7.5h-148q-11 0 -18.5 7.5t-7.5 18.5v174 h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h125v100h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h118q-5 12 -11 18l-364 364q-8 8 -5.5 13t12.5 5h250q25 0 43 -18l164 -164q8 -8 18 -8t18 8l164 164q18 18 43 18z" />
<glyph unicode="&#x2000;" horiz-adv-x="650" />
<glyph unicode="&#x2001;" horiz-adv-x="1300" />
<glyph unicode="&#x2002;" horiz-adv-x="650" />
<glyph unicode="&#x2003;" horiz-adv-x="1300" />
<glyph unicode="&#x2004;" horiz-adv-x="433" />
<glyph unicode="&#x2005;" horiz-adv-x="325" />
<glyph unicode="&#x2006;" horiz-adv-x="216" />
<glyph unicode="&#x2007;" horiz-adv-x="216" />
<glyph unicode="&#x2008;" horiz-adv-x="162" />
<glyph unicode="&#x2009;" horiz-adv-x="260" />
<glyph unicode="&#x200a;" horiz-adv-x="72" />
<glyph unicode="&#x202f;" horiz-adv-x="260" />
<glyph unicode="&#x205f;" horiz-adv-x="325" />
<glyph unicode="&#x20ac;" d="M744 1198q242 0 354 -189q60 -104 66 -209h-181q0 45 -17.5 82.5t-43.5 61.5t-58 40.5t-60.5 24t-51.5 7.5q-19 0 -40.5 -5.5t-49.5 -20.5t-53 -38t-49 -62.5t-39 -89.5h379l-100 -100h-300q-6 -50 -6 -100h406l-100 -100h-300q9 -74 33 -132t52.5 -91t61.5 -54.5t59 -29 t47 -7.5q22 0 50.5 7.5t60.5 24.5t58 41t43.5 61t17.5 80h174q-30 -171 -128 -278q-107 -117 -274 -117q-206 0 -324 158q-36 48 -69 133t-45 204h-217l100 100h112q1 47 6 100h-218l100 100h134q20 87 51 153.5t62 103.5q117 141 297 141z" />
<glyph unicode="&#x20bd;" d="M428 1200h350q67 0 120 -13t86 -31t57 -49.5t35 -56.5t17 -64.5t6.5 -60.5t0.5 -57v-16.5v-16.5q0 -36 -0.5 -57t-6.5 -61t-17 -65t-35 -57t-57 -50.5t-86 -31.5t-120 -13h-178l-2 -100h288q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-138v-175q0 -11 -5.5 -18 t-15.5 -7h-149q-10 0 -17.5 7.5t-7.5 17.5v175h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v100h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v475q0 10 7.5 17.5t17.5 7.5zM600 1000v-300h203q64 0 86.5 33t22.5 119q0 84 -22.5 116t-86.5 32h-203z" />
<glyph unicode="&#x2212;" d="M250 700h800q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#x231b;" d="M1000 1200v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-50v-100q0 -91 -49.5 -165.5t-130.5 -109.5q81 -35 130.5 -109.5t49.5 -165.5v-150h50q21 0 35.5 -14.5t14.5 -35.5v-150h-800v150q0 21 14.5 35.5t35.5 14.5h50v150q0 91 49.5 165.5t130.5 109.5q-81 35 -130.5 109.5 t-49.5 165.5v100h-50q-21 0 -35.5 14.5t-14.5 35.5v150h800zM400 1000v-100q0 -60 32.5 -109.5t87.5 -73.5q28 -12 44 -37t16 -55t-16 -55t-44 -37q-55 -24 -87.5 -73.5t-32.5 -109.5v-150h400v150q0 60 -32.5 109.5t-87.5 73.5q-28 12 -44 37t-16 55t16 55t44 37 q55 24 87.5 73.5t32.5 109.5v100h-400z" />
<glyph unicode="&#x25fc;" horiz-adv-x="500" d="M0 0z" />
<glyph unicode="&#x2601;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -206.5q0 -121 -85 -207.5t-205 -86.5h-750q-79 0 -135.5 57t-56.5 137q0 69 42.5 122.5t108.5 67.5q-2 12 -2 37q0 153 108 260.5t260 107.5z" />
<glyph unicode="&#x26fa;" d="M774 1193.5q16 -9.5 20.5 -27t-5.5 -33.5l-136 -187l467 -746h30q20 0 35 -18.5t15 -39.5v-42h-1200v42q0 21 15 39.5t35 18.5h30l468 746l-135 183q-10 16 -5.5 34t20.5 28t34 5.5t28 -20.5l111 -148l112 150q9 16 27 20.5t34 -5zM600 200h377l-182 112l-195 534v-646z " />
<glyph unicode="&#x2709;" d="M25 1100h1150q10 0 12.5 -5t-5.5 -13l-564 -567q-8 -8 -18 -8t-18 8l-564 567q-8 8 -5.5 13t12.5 5zM18 882l264 -264q8 -8 8 -18t-8 -18l-264 -264q-8 -8 -13 -5.5t-5 12.5v550q0 10 5 12.5t13 -5.5zM918 618l264 264q8 8 13 5.5t5 -12.5v-550q0 -10 -5 -12.5t-13 5.5 l-264 264q-8 8 -8 18t8 18zM818 482l364 -364q8 -8 5.5 -13t-12.5 -5h-1150q-10 0 -12.5 5t5.5 13l364 364q8 8 18 8t18 -8l164 -164q8 -8 18 -8t18 8l164 164q8 8 18 8t18 -8z" />
<glyph unicode="&#x270f;" d="M1011 1210q19 0 33 -13l153 -153q13 -14 13 -33t-13 -33l-99 -92l-214 214l95 96q13 14 32 14zM1013 800l-615 -614l-214 214l614 614zM317 96l-333 -112l110 335z" />
<glyph unicode="&#xe001;" d="M700 650v-550h250q21 0 35.5 -14.5t14.5 -35.5v-50h-800v50q0 21 14.5 35.5t35.5 14.5h250v550l-500 550h1200z" />
<glyph unicode="&#xe002;" d="M368 1017l645 163q39 15 63 0t24 -49v-831q0 -55 -41.5 -95.5t-111.5 -63.5q-79 -25 -147 -4.5t-86 75t25.5 111.5t122.5 82q72 24 138 8v521l-600 -155v-606q0 -42 -44 -90t-109 -69q-79 -26 -147 -5.5t-86 75.5t25.5 111.5t122.5 82.5q72 24 138 7v639q0 38 14.5 59 t53.5 34z" />
<glyph unicode="&#xe003;" d="M500 1191q100 0 191 -39t156.5 -104.5t104.5 -156.5t39 -191l-1 -2l1 -5q0 -141 -78 -262l275 -274q23 -26 22.5 -44.5t-22.5 -42.5l-59 -58q-26 -20 -46.5 -20t-39.5 20l-275 274q-119 -77 -261 -77l-5 1l-2 -1q-100 0 -191 39t-156.5 104.5t-104.5 156.5t-39 191 t39 191t104.5 156.5t156.5 104.5t191 39zM500 1022q-88 0 -162 -43t-117 -117t-43 -162t43 -162t117 -117t162 -43t162 43t117 117t43 162t-43 162t-117 117t-162 43z" />
<glyph unicode="&#xe005;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104z" />
<glyph unicode="&#xe006;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429z" />
<glyph unicode="&#xe007;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429zM477 700h-240l197 -142l-74 -226 l193 139l195 -140l-74 229l192 140h-234l-78 211z" />
<glyph unicode="&#xe008;" d="M600 1200q124 0 212 -88t88 -212v-250q0 -46 -31 -98t-69 -52v-75q0 -10 6 -21.5t15 -17.5l358 -230q9 -5 15 -16.5t6 -21.5v-93q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v93q0 10 6 21.5t15 16.5l358 230q9 6 15 17.5t6 21.5v75q-38 0 -69 52 t-31 98v250q0 124 88 212t212 88z" />
<glyph unicode="&#xe009;" d="M25 1100h1150q10 0 17.5 -7.5t7.5 -17.5v-1050q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v1050q0 10 7.5 17.5t17.5 7.5zM100 1000v-100h100v100h-100zM875 1000h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5t17.5 -7.5h550 q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM1000 1000v-100h100v100h-100zM100 800v-100h100v100h-100zM1000 800v-100h100v100h-100zM100 600v-100h100v100h-100zM1000 600v-100h100v100h-100zM875 500h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5 t17.5 -7.5h550q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM100 400v-100h100v100h-100zM1000 400v-100h100v100h-100zM100 200v-100h100v100h-100zM1000 200v-100h100v100h-100z" />
<glyph unicode="&#xe010;" d="M50 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM50 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe011;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM850 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 700h200q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h200 q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5 t35.5 14.5z" />
<glyph unicode="&#xe012;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h700q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe013;" d="M465 477l571 571q8 8 18 8t17 -8l177 -177q8 -7 8 -17t-8 -18l-783 -784q-7 -8 -17.5 -8t-17.5 8l-384 384q-8 8 -8 18t8 17l177 177q7 8 17 8t18 -8l171 -171q7 -7 18 -7t18 7z" />
<glyph unicode="&#xe014;" d="M904 1083l178 -179q8 -8 8 -18.5t-8 -17.5l-267 -268l267 -268q8 -7 8 -17.5t-8 -18.5l-178 -178q-8 -8 -18.5 -8t-17.5 8l-268 267l-268 -267q-7 -8 -17.5 -8t-18.5 8l-178 178q-8 8 -8 18.5t8 17.5l267 268l-267 268q-8 7 -8 17.5t8 18.5l178 178q8 8 18.5 8t17.5 -8 l268 -267l268 268q7 7 17.5 7t18.5 -7z" />
<glyph unicode="&#xe015;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM425 900h150q10 0 17.5 -7.5t7.5 -17.5v-75h75q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5 t-17.5 -7.5h-75v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-75q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v75q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe016;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM325 800h350q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-350q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe017;" d="M550 1200h100q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM800 975v166q167 -62 272 -209.5t105 -331.5q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5 t-184.5 123t-123 184.5t-45.5 224q0 184 105 331.5t272 209.5v-166q-103 -55 -165 -155t-62 -220q0 -116 57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5q0 120 -62 220t-165 155z" />
<glyph unicode="&#xe018;" d="M1025 1200h150q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM725 800h150q10 0 17.5 -7.5t7.5 -17.5v-750q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v750 q0 10 7.5 17.5t17.5 7.5zM425 500h150q10 0 17.5 -7.5t7.5 -17.5v-450q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v450q0 10 7.5 17.5t17.5 7.5zM125 300h150q10 0 17.5 -7.5t7.5 -17.5v-250q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5 v250q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe019;" d="M600 1174q33 0 74 -5l38 -152l5 -1q49 -14 94 -39l5 -2l134 80q61 -48 104 -105l-80 -134l3 -5q25 -44 39 -93l1 -6l152 -38q5 -43 5 -73q0 -34 -5 -74l-152 -38l-1 -6q-15 -49 -39 -93l-3 -5l80 -134q-48 -61 -104 -105l-134 81l-5 -3q-44 -25 -94 -39l-5 -2l-38 -151 q-43 -5 -74 -5q-33 0 -74 5l-38 151l-5 2q-49 14 -94 39l-5 3l-134 -81q-60 48 -104 105l80 134l-3 5q-25 45 -38 93l-2 6l-151 38q-6 42 -6 74q0 33 6 73l151 38l2 6q13 48 38 93l3 5l-80 134q47 61 105 105l133 -80l5 2q45 25 94 39l5 1l38 152q43 5 74 5zM600 815 q-89 0 -152 -63t-63 -151.5t63 -151.5t152 -63t152 63t63 151.5t-63 151.5t-152 63z" />
<glyph unicode="&#xe020;" d="M500 1300h300q41 0 70.5 -29.5t29.5 -70.5v-100h275q10 0 17.5 -7.5t7.5 -17.5v-75h-1100v75q0 10 7.5 17.5t17.5 7.5h275v100q0 41 29.5 70.5t70.5 29.5zM500 1200v-100h300v100h-300zM1100 900v-800q0 -41 -29.5 -70.5t-70.5 -29.5h-700q-41 0 -70.5 29.5t-29.5 70.5 v800h900zM300 800v-700h100v700h-100zM500 800v-700h100v700h-100zM700 800v-700h100v700h-100zM900 800v-700h100v700h-100z" />
<glyph unicode="&#xe021;" d="M18 618l620 608q8 7 18.5 7t17.5 -7l608 -608q8 -8 5.5 -13t-12.5 -5h-175v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v375h-300v-375q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v575h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe022;" d="M600 1200v-400q0 -41 29.5 -70.5t70.5 -29.5h300v-650q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5h450zM1000 800h-250q-21 0 -35.5 14.5t-14.5 35.5v250z" />
<glyph unicode="&#xe023;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h50q10 0 17.5 -7.5t7.5 -17.5v-275h175q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe024;" d="M1300 0h-538l-41 400h-242l-41 -400h-538l431 1200h209l-21 -300h162l-20 300h208zM515 800l-27 -300h224l-27 300h-170z" />
<glyph unicode="&#xe025;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-450h191q20 0 25.5 -11.5t-7.5 -27.5l-327 -400q-13 -16 -32 -16t-32 16l-327 400q-13 16 -7.5 27.5t25.5 11.5h191v450q0 21 14.5 35.5t35.5 14.5zM1125 400h50q10 0 17.5 -7.5t7.5 -17.5v-350q0 -10 -7.5 -17.5t-17.5 -7.5 h-1050q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h50q10 0 17.5 -7.5t7.5 -17.5v-175h900v175q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe026;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -275q-13 -16 -32 -16t-32 16l-223 275q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z " />
<glyph unicode="&#xe027;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM632 914l223 -275q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5l223 275q13 16 32 16 t32 -16z" />
<glyph unicode="&#xe028;" d="M225 1200h750q10 0 19.5 -7t12.5 -17l186 -652q7 -24 7 -49v-425q0 -12 -4 -27t-9 -17q-12 -6 -37 -6h-1100q-12 0 -27 4t-17 8q-6 13 -6 38l1 425q0 25 7 49l185 652q3 10 12.5 17t19.5 7zM878 1000h-556q-10 0 -19 -7t-11 -18l-87 -450q-2 -11 4 -18t16 -7h150 q10 0 19.5 -7t11.5 -17l38 -152q2 -10 11.5 -17t19.5 -7h250q10 0 19.5 7t11.5 17l38 152q2 10 11.5 17t19.5 7h150q10 0 16 7t4 18l-87 450q-2 11 -11 18t-19 7z" />
<glyph unicode="&#xe029;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM540 820l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe030;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-362q0 -10 -7.5 -17.5t-17.5 -7.5h-362q-11 0 -13 5.5t5 12.5l133 133q-109 76 -238 76q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5h150q0 -117 -45.5 -224 t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117z" />
<glyph unicode="&#xe031;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-361q0 -11 -7.5 -18.5t-18.5 -7.5h-361q-11 0 -13 5.5t5 12.5l134 134q-110 75 -239 75q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5h-150q0 117 45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117zM1027 600h150 q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5q-192 0 -348 118l-134 -134q-7 -8 -12.5 -5.5t-5.5 12.5v360q0 11 7.5 18.5t18.5 7.5h360q10 0 12.5 -5.5t-5.5 -12.5l-133 -133q110 -76 240 -76q116 0 214.5 57t155.5 155.5t57 214.5z" />
<glyph unicode="&#xe032;" d="M125 1200h1050q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-1050q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM1075 1000h-850q-10 0 -17.5 -7.5t-7.5 -17.5v-850q0 -10 7.5 -17.5t17.5 -7.5h850q10 0 17.5 7.5t7.5 17.5v850 q0 10 -7.5 17.5t-17.5 7.5zM325 900h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 900h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 700h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 700h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 500h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 500h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 300h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 300h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe033;" d="M900 800v200q0 83 -58.5 141.5t-141.5 58.5h-300q-82 0 -141 -59t-59 -141v-200h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h900q41 0 70.5 29.5t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5h-100zM400 800v150q0 21 15 35.5t35 14.5h200 q20 0 35 -14.5t15 -35.5v-150h-300z" />
<glyph unicode="&#xe034;" d="M125 1100h50q10 0 17.5 -7.5t7.5 -17.5v-1075h-100v1075q0 10 7.5 17.5t17.5 7.5zM1075 1052q4 0 9 -2q16 -6 16 -23v-421q0 -6 -3 -12q-33 -59 -66.5 -99t-65.5 -58t-56.5 -24.5t-52.5 -6.5q-26 0 -57.5 6.5t-52.5 13.5t-60 21q-41 15 -63 22.5t-57.5 15t-65.5 7.5 q-85 0 -160 -57q-7 -5 -15 -5q-6 0 -11 3q-14 7 -14 22v438q22 55 82 98.5t119 46.5q23 2 43 0.5t43 -7t32.5 -8.5t38 -13t32.5 -11q41 -14 63.5 -21t57 -14t63.5 -7q103 0 183 87q7 8 18 8z" />
<glyph unicode="&#xe035;" d="M600 1175q116 0 227 -49.5t192.5 -131t131 -192.5t49.5 -227v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v300q0 127 -70.5 231.5t-184.5 161.5t-245 57t-245 -57t-184.5 -161.5t-70.5 -231.5v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50 q-10 0 -17.5 7.5t-7.5 17.5v300q0 116 49.5 227t131 192.5t192.5 131t227 49.5zM220 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460q0 8 6 14t14 6zM820 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460 q0 8 6 14t14 6z" />
<glyph unicode="&#xe036;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM900 668l120 120q7 7 17 7t17 -7l34 -34q7 -7 7 -17t-7 -17l-120 -120l120 -120q7 -7 7 -17 t-7 -17l-34 -34q-7 -7 -17 -7t-17 7l-120 119l-120 -119q-7 -7 -17 -7t-17 7l-34 34q-7 7 -7 17t7 17l119 120l-119 120q-7 7 -7 17t7 17l34 34q7 8 17 8t17 -8z" />
<glyph unicode="&#xe037;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6 l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238q-6 8 -4.5 18t9.5 17l29 22q7 5 15 5z" />
<glyph unicode="&#xe038;" d="M967 1004h3q11 -1 17 -10q135 -179 135 -396q0 -105 -34 -206.5t-98 -185.5q-7 -9 -17 -10h-3q-9 0 -16 6l-42 34q-8 6 -9 16t5 18q111 150 111 328q0 90 -29.5 176t-84.5 157q-6 9 -5 19t10 16l42 33q7 5 15 5zM321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5 t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238 q-6 8 -4.5 18.5t9.5 16.5l29 22q7 5 15 5z" />
<glyph unicode="&#xe039;" d="M500 900h100v-100h-100v-100h-400v-100h-100v600h500v-300zM1200 700h-200v-100h200v-200h-300v300h-200v300h-100v200h600v-500zM100 1100v-300h300v300h-300zM800 1100v-300h300v300h-300zM300 900h-100v100h100v-100zM1000 900h-100v100h100v-100zM300 500h200v-500 h-500v500h200v100h100v-100zM800 300h200v-100h-100v-100h-200v100h-100v100h100v200h-200v100h300v-300zM100 400v-300h300v300h-300zM300 200h-100v100h100v-100zM1200 200h-100v100h100v-100zM700 0h-100v100h100v-100zM1200 0h-300v100h300v-100z" />
<glyph unicode="&#xe040;" d="M100 200h-100v1000h100v-1000zM300 200h-100v1000h100v-1000zM700 200h-200v1000h200v-1000zM900 200h-100v1000h100v-1000zM1200 200h-200v1000h200v-1000zM400 0h-300v100h300v-100zM600 0h-100v91h100v-91zM800 0h-100v91h100v-91zM1100 0h-200v91h200v-91z" />
<glyph unicode="&#xe041;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe042;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM800 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-56 56l424 426l-700 700h150zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5 t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe043;" d="M300 1200h825q75 0 75 -75v-900q0 -25 -18 -43l-64 -64q-8 -8 -13 -5.5t-5 12.5v950q0 10 -7.5 17.5t-17.5 7.5h-700q-25 0 -43 -18l-64 -64q-8 -8 -5.5 -13t12.5 -5h700q10 0 17.5 -7.5t7.5 -17.5v-950q0 -10 -7.5 -17.5t-17.5 -7.5h-850q-10 0 -17.5 7.5t-7.5 17.5v975 q0 25 18 43l139 139q18 18 43 18z" />
<glyph unicode="&#xe044;" d="M250 1200h800q21 0 35.5 -14.5t14.5 -35.5v-1150l-450 444l-450 -445v1151q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe045;" d="M822 1200h-444q-11 0 -19 -7.5t-9 -17.5l-78 -301q-7 -24 7 -45l57 -108q6 -9 17.5 -15t21.5 -6h450q10 0 21.5 6t17.5 15l62 108q14 21 7 45l-83 301q-1 10 -9 17.5t-19 7.5zM1175 800h-150q-10 0 -21 -6.5t-15 -15.5l-78 -156q-4 -9 -15 -15.5t-21 -6.5h-550 q-10 0 -21 6.5t-15 15.5l-78 156q-4 9 -15 15.5t-21 6.5h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-650q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h750q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5 t7.5 17.5v650q0 10 -7.5 17.5t-17.5 7.5zM850 200h-500q-10 0 -19.5 -7t-11.5 -17l-38 -152q-2 -10 3.5 -17t15.5 -7h600q10 0 15.5 7t3.5 17l-38 152q-2 10 -11.5 17t-19.5 7z" />
<glyph unicode="&#xe046;" d="M500 1100h200q56 0 102.5 -20.5t72.5 -50t44 -59t25 -50.5l6 -20h150q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5h150q2 8 6.5 21.5t24 48t45 61t72 48t102.5 21.5zM900 800v-100 h100v100h-100zM600 730q-95 0 -162.5 -67.5t-67.5 -162.5t67.5 -162.5t162.5 -67.5t162.5 67.5t67.5 162.5t-67.5 162.5t-162.5 67.5zM600 603q43 0 73 -30t30 -73t-30 -73t-73 -30t-73 30t-30 73t30 73t73 30z" />
<glyph unicode="&#xe047;" d="M681 1199l385 -998q20 -50 60 -92q18 -19 36.5 -29.5t27.5 -11.5l10 -2v-66h-417v66q53 0 75 43.5t5 88.5l-82 222h-391q-58 -145 -92 -234q-11 -34 -6.5 -57t25.5 -37t46 -20t55 -6v-66h-365v66q56 24 84 52q12 12 25 30.5t20 31.5l7 13l399 1006h93zM416 521h340 l-162 457z" />
<glyph unicode="&#xe048;" d="M753 641q5 -1 14.5 -4.5t36 -15.5t50.5 -26.5t53.5 -40t50.5 -54.5t35.5 -70t14.5 -87q0 -67 -27.5 -125.5t-71.5 -97.5t-98.5 -66.5t-108.5 -40.5t-102 -13h-500v89q41 7 70.5 32.5t29.5 65.5v827q0 24 -0.5 34t-3.5 24t-8.5 19.5t-17 13.5t-28 12.5t-42.5 11.5v71 l471 -1q57 0 115.5 -20.5t108 -57t80.5 -94t31 -124.5q0 -51 -15.5 -96.5t-38 -74.5t-45 -50.5t-38.5 -30.5zM400 700h139q78 0 130.5 48.5t52.5 122.5q0 41 -8.5 70.5t-29.5 55.5t-62.5 39.5t-103.5 13.5h-118v-350zM400 200h216q80 0 121 50.5t41 130.5q0 90 -62.5 154.5 t-156.5 64.5h-159v-400z" />
<glyph unicode="&#xe049;" d="M877 1200l2 -57q-83 -19 -116 -45.5t-40 -66.5l-132 -839q-9 -49 13 -69t96 -26v-97h-500v97q186 16 200 98l173 832q3 17 3 30t-1.5 22.5t-9 17.5t-13.5 12.5t-21.5 10t-26 8.5t-33.5 10q-13 3 -19 5v57h425z" />
<glyph unicode="&#xe050;" d="M1300 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM175 1000h-75v-800h75l-125 -167l-125 167h75v800h-75l125 167z" />
<glyph unicode="&#xe051;" d="M1100 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-650q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v650h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM1167 50l-167 -125v75h-800v-75l-167 125l167 125v-75h800v75z" />
<glyph unicode="&#xe052;" d="M50 1100h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe053;" d="M250 1100h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM250 500h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe054;" d="M500 950v100q0 21 14.5 35.5t35.5 14.5h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5zM100 650v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000 q-21 0 -35.5 14.5t-14.5 35.5zM300 350v100q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5zM0 50v100q0 21 14.5 35.5t35.5 14.5h1100q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5z" />
<glyph unicode="&#xe055;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe056;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 1100h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 800h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 500h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 500h800q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 200h800 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe057;" d="M400 0h-100v1100h100v-1100zM550 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM267 550l-167 -125v75h-200v100h200v75zM550 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe058;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM900 0h-100v1100h100v-1100zM50 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM1100 600h200v-100h-200v-75l-167 125l167 125v-75zM50 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe059;" d="M75 1000h750q31 0 53 -22t22 -53v-650q0 -31 -22 -53t-53 -22h-750q-31 0 -53 22t-22 53v650q0 31 22 53t53 22zM1200 300l-300 300l300 300v-600z" />
<glyph unicode="&#xe060;" d="M44 1100h1112q18 0 31 -13t13 -31v-1012q0 -18 -13 -31t-31 -13h-1112q-18 0 -31 13t-13 31v1012q0 18 13 31t31 13zM100 1000v-737l247 182l298 -131l-74 156l293 318l236 -288v500h-1000zM342 884q56 0 95 -39t39 -94.5t-39 -95t-95 -39.5t-95 39.5t-39 95t39 94.5 t95 39z" />
<glyph unicode="&#xe062;" d="M648 1169q117 0 216 -60t156.5 -161t57.5 -218q0 -115 -70 -258q-69 -109 -158 -225.5t-143 -179.5l-54 -62q-9 8 -25.5 24.5t-63.5 67.5t-91 103t-98.5 128t-95.5 148q-60 132 -60 249q0 88 34 169.5t91.5 142t137 96.5t166.5 36zM652.5 974q-91.5 0 -156.5 -65 t-65 -157t65 -156.5t156.5 -64.5t156.5 64.5t65 156.5t-65 157t-156.5 65z" />
<glyph unicode="&#xe063;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 173v854q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57z" />
<glyph unicode="&#xe064;" d="M554 1295q21 -72 57.5 -143.5t76 -130t83 -118t82.5 -117t70 -116t49.5 -126t18.5 -136.5q0 -71 -25.5 -135t-68.5 -111t-99 -82t-118.5 -54t-125.5 -23q-84 5 -161.5 34t-139.5 78.5t-99 125t-37 164.5q0 69 18 136.5t49.5 126.5t69.5 116.5t81.5 117.5t83.5 119 t76.5 131t58.5 143zM344 710q-23 -33 -43.5 -70.5t-40.5 -102.5t-17 -123q1 -37 14.5 -69.5t30 -52t41 -37t38.5 -24.5t33 -15q21 -7 32 -1t13 22l6 34q2 10 -2.5 22t-13.5 19q-5 4 -14 12t-29.5 40.5t-32.5 73.5q-26 89 6 271q2 11 -6 11q-8 1 -15 -10z" />
<glyph unicode="&#xe065;" d="M1000 1013l108 115q2 1 5 2t13 2t20.5 -1t25 -9.5t28.5 -21.5q22 -22 27 -43t0 -32l-6 -10l-108 -115zM350 1100h400q50 0 105 -13l-187 -187h-368q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v182l200 200v-332 q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM1009 803l-362 -362l-161 -50l55 170l355 355z" />
<glyph unicode="&#xe066;" d="M350 1100h361q-164 -146 -216 -200h-195q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5l200 153v-103q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M824 1073l339 -301q8 -7 8 -17.5t-8 -17.5l-340 -306q-7 -6 -12.5 -4t-6.5 11v203q-26 1 -54.5 0t-78.5 -7.5t-92 -17.5t-86 -35t-70 -57q10 59 33 108t51.5 81.5t65 58.5t68.5 40.5t67 24.5t56 13.5t40 4.5v210q1 10 6.5 12.5t13.5 -4.5z" />
<glyph unicode="&#xe067;" d="M350 1100h350q60 0 127 -23l-178 -177h-349q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v69l200 200v-219q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M643 639l395 395q7 7 17.5 7t17.5 -7l101 -101q7 -7 7 -17.5t-7 -17.5l-531 -532q-7 -7 -17.5 -7t-17.5 7l-248 248q-7 7 -7 17.5t7 17.5l101 101q7 7 17.5 7t17.5 -7l111 -111q8 -7 18 -7t18 7z" />
<glyph unicode="&#xe068;" d="M318 918l264 264q8 8 18 8t18 -8l260 -264q7 -8 4.5 -13t-12.5 -5h-170v-200h200v173q0 10 5 12t13 -5l264 -260q8 -7 8 -17.5t-8 -17.5l-264 -265q-8 -7 -13 -5t-5 12v173h-200v-200h170q10 0 12.5 -5t-4.5 -13l-260 -264q-8 -8 -18 -8t-18 8l-264 264q-8 8 -5.5 13 t12.5 5h175v200h-200v-173q0 -10 -5 -12t-13 5l-264 265q-8 7 -8 17.5t8 17.5l264 260q8 7 13 5t5 -12v-173h200v200h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe069;" d="M250 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe070;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5 t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe071;" d="M1200 1050v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-492 480q-15 14 -15 35t15 35l492 480q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25z" />
<glyph unicode="&#xe072;" d="M243 1074l814 -498q18 -11 18 -26t-18 -26l-814 -498q-18 -11 -30.5 -4t-12.5 28v1000q0 21 12.5 28t30.5 -4z" />
<glyph unicode="&#xe073;" d="M250 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM650 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe074;" d="M1100 950v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe075;" d="M500 612v438q0 21 10.5 25t25.5 -10l492 -480q15 -14 15 -35t-15 -35l-492 -480q-15 -14 -25.5 -10t-10.5 25v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10z" />
<glyph unicode="&#xe076;" d="M1048 1102l100 1q20 0 35 -14.5t15 -35.5l5 -1000q0 -21 -14.5 -35.5t-35.5 -14.5l-100 -1q-21 0 -35.5 14.5t-14.5 35.5l-2 437l-463 -454q-14 -15 -24.5 -10.5t-10.5 25.5l-2 437l-462 -455q-15 -14 -25.5 -9.5t-10.5 24.5l-5 1000q0 21 10.5 25.5t25.5 -10.5l466 -450 l-2 438q0 20 10.5 24.5t25.5 -9.5l466 -451l-2 438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe077;" d="M850 1100h100q21 0 35.5 -14.5t14.5 -35.5v-1000q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10l464 -453v438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe078;" d="M686 1081l501 -540q15 -15 10.5 -26t-26.5 -11h-1042q-22 0 -26.5 11t10.5 26l501 540q15 15 36 15t36 -15zM150 400h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe079;" d="M885 900l-352 -353l352 -353l-197 -198l-552 552l552 550z" />
<glyph unicode="&#xe080;" d="M1064 547l-551 -551l-198 198l353 353l-353 353l198 198z" />
<glyph unicode="&#xe081;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM650 900h-100q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-150 q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5h150v-150q0 -21 14.5 -35.5t35.5 -14.5h100q21 0 35.5 14.5t14.5 35.5v150h150q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-150v150q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe082;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM850 700h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5 t35.5 -14.5h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe083;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM741.5 913q-12.5 0 -21.5 -9l-120 -120l-120 120q-9 9 -21.5 9 t-21.5 -9l-141 -141q-9 -9 -9 -21.5t9 -21.5l120 -120l-120 -120q-9 -9 -9 -21.5t9 -21.5l141 -141q9 -9 21.5 -9t21.5 9l120 120l120 -120q9 -9 21.5 -9t21.5 9l141 141q9 9 9 21.5t-9 21.5l-120 120l120 120q9 9 9 21.5t-9 21.5l-141 141q-9 9 -21.5 9z" />
<glyph unicode="&#xe084;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM546 623l-84 85q-7 7 -17.5 7t-18.5 -7l-139 -139q-7 -8 -7 -18t7 -18 l242 -241q7 -8 17.5 -8t17.5 8l375 375q7 7 7 17.5t-7 18.5l-139 139q-7 7 -17.5 7t-17.5 -7z" />
<glyph unicode="&#xe085;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM588 941q-29 0 -59 -5.5t-63 -20.5t-58 -38.5t-41.5 -63t-16.5 -89.5 q0 -25 20 -25h131q30 -5 35 11q6 20 20.5 28t45.5 8q20 0 31.5 -10.5t11.5 -28.5q0 -23 -7 -34t-26 -18q-1 0 -13.5 -4t-19.5 -7.5t-20 -10.5t-22 -17t-18.5 -24t-15.5 -35t-8 -46q-1 -8 5.5 -16.5t20.5 -8.5h173q7 0 22 8t35 28t37.5 48t29.5 74t12 100q0 47 -17 83 t-42.5 57t-59.5 34.5t-64 18t-59 4.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe086;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM675 1000h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5 t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5zM675 700h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h75v-200h-75q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h350q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5 t-17.5 7.5h-75v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe087;" d="M525 1200h150q10 0 17.5 -7.5t7.5 -17.5v-194q103 -27 178.5 -102.5t102.5 -178.5h194q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-194q-27 -103 -102.5 -178.5t-178.5 -102.5v-194q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v194 q-103 27 -178.5 102.5t-102.5 178.5h-194q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h194q27 103 102.5 178.5t178.5 102.5v194q0 10 7.5 17.5t17.5 7.5zM700 893v-168q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v168q-68 -23 -119 -74 t-74 -119h168q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-168q23 -68 74 -119t119 -74v168q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-168q68 23 119 74t74 119h-168q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h168 q-23 68 -74 119t-119 74z" />
<glyph unicode="&#xe088;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM759 823l64 -64q7 -7 7 -17.5t-7 -17.5l-124 -124l124 -124q7 -7 7 -17.5t-7 -17.5l-64 -64q-7 -7 -17.5 -7t-17.5 7l-124 124l-124 -124q-7 -7 -17.5 -7t-17.5 7l-64 64 q-7 7 -7 17.5t7 17.5l124 124l-124 124q-7 7 -7 17.5t7 17.5l64 64q7 7 17.5 7t17.5 -7l124 -124l124 124q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe089;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM782 788l106 -106q7 -7 7 -17.5t-7 -17.5l-320 -321q-8 -7 -18 -7t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l197 197q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe090;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5q0 -120 65 -225 l587 587q-105 65 -225 65zM965 819l-584 -584q104 -62 219 -62q116 0 214.5 57t155.5 155.5t57 214.5q0 115 -62 219z" />
<glyph unicode="&#xe091;" d="M39 582l522 427q16 13 27.5 8t11.5 -26v-291h550q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-550v-291q0 -21 -11.5 -26t-27.5 8l-522 427q-16 13 -16 32t16 32z" />
<glyph unicode="&#xe092;" d="M639 1009l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291h-550q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h550v291q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe093;" d="M682 1161l427 -522q13 -16 8 -27.5t-26 -11.5h-291v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v550h-291q-21 0 -26 11.5t8 27.5l427 522q13 16 32 16t32 -16z" />
<glyph unicode="&#xe094;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-550h291q21 0 26 -11.5t-8 -27.5l-427 -522q-13 -16 -32 -16t-32 16l-427 522q-13 16 -8 27.5t26 11.5h291v550q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe095;" d="M639 1109l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291q-94 -2 -182 -20t-170.5 -52t-147 -92.5t-100.5 -135.5q5 105 27 193.5t67.5 167t113 135t167 91.5t225.5 42v262q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe096;" d="M850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5zM350 0h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249 q8 7 18 7t18 -7l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5z" />
<glyph unicode="&#xe097;" d="M1014 1120l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249q8 7 18 7t18 -7zM250 600h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5z" />
<glyph unicode="&#xe101;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM704 900h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5 t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe102;" d="M260 1200q9 0 19 -2t15 -4l5 -2q22 -10 44 -23l196 -118q21 -13 36 -24q29 -21 37 -12q11 13 49 35l196 118q22 13 45 23q17 7 38 7q23 0 47 -16.5t37 -33.5l13 -16q14 -21 18 -45l25 -123l8 -44q1 -9 8.5 -14.5t17.5 -5.5h61q10 0 17.5 -7.5t7.5 -17.5v-50 q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 -7.5t-7.5 -17.5v-175h-400v300h-200v-300h-400v175q0 10 -7.5 17.5t-17.5 7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5h61q11 0 18 3t7 8q0 4 9 52l25 128q5 25 19 45q2 3 5 7t13.5 15t21.5 19.5t26.5 15.5 t29.5 7zM915 1079l-166 -162q-7 -7 -5 -12t12 -5h219q10 0 15 7t2 17l-51 149q-3 10 -11 12t-15 -6zM463 917l-177 157q-8 7 -16 5t-11 -12l-51 -143q-3 -10 2 -17t15 -7h231q11 0 12.5 5t-5.5 12zM500 0h-375q-10 0 -17.5 7.5t-7.5 17.5v375h400v-400zM1100 400v-375 q0 -10 -7.5 -17.5t-17.5 -7.5h-375v400h400z" />
<glyph unicode="&#xe103;" d="M1165 1190q8 3 21 -6.5t13 -17.5q-2 -178 -24.5 -323.5t-55.5 -245.5t-87 -174.5t-102.5 -118.5t-118 -68.5t-118.5 -33t-120 -4.5t-105 9.5t-90 16.5q-61 12 -78 11q-4 1 -12.5 0t-34 -14.5t-52.5 -40.5l-153 -153q-26 -24 -37 -14.5t-11 43.5q0 64 42 102q8 8 50.5 45 t66.5 58q19 17 35 47t13 61q-9 55 -10 102.5t7 111t37 130t78 129.5q39 51 80 88t89.5 63.5t94.5 45t113.5 36t129 31t157.5 37t182 47.5zM1116 1098q-8 9 -22.5 -3t-45.5 -50q-38 -47 -119 -103.5t-142 -89.5l-62 -33q-56 -30 -102 -57t-104 -68t-102.5 -80.5t-85.5 -91 t-64 -104.5q-24 -56 -31 -86t2 -32t31.5 17.5t55.5 59.5q25 30 94 75.5t125.5 77.5t147.5 81q70 37 118.5 69t102 79.5t99 111t86.5 148.5q22 50 24 60t-6 19z" />
<glyph unicode="&#xe104;" d="M653 1231q-39 -67 -54.5 -131t-10.5 -114.5t24.5 -96.5t47.5 -80t63.5 -62.5t68.5 -46.5t65 -30q-4 7 -17.5 35t-18.5 39.5t-17 39.5t-17 43t-13 42t-9.5 44.5t-2 42t4 43t13.5 39t23 38.5q96 -42 165 -107.5t105 -138t52 -156t13 -159t-19 -149.5q-13 -55 -44 -106.5 t-68 -87t-78.5 -64.5t-72.5 -45t-53 -22q-72 -22 -127 -11q-31 6 -13 19q6 3 17 7q13 5 32.5 21t41 44t38.5 63.5t21.5 81.5t-6.5 94.5t-50 107t-104 115.5q10 -104 -0.5 -189t-37 -140.5t-65 -93t-84 -52t-93.5 -11t-95 24.5q-80 36 -131.5 114t-53.5 171q-2 23 0 49.5 t4.5 52.5t13.5 56t27.5 60t46 64.5t69.5 68.5q-8 -53 -5 -102.5t17.5 -90t34 -68.5t44.5 -39t49 -2q31 13 38.5 36t-4.5 55t-29 64.5t-36 75t-26 75.5q-15 85 2 161.5t53.5 128.5t85.5 92.5t93.5 61t81.5 25.5z" />
<glyph unicode="&#xe105;" d="M600 1094q82 0 160.5 -22.5t140 -59t116.5 -82.5t94.5 -95t68 -95t42.5 -82.5t14 -57.5t-14 -57.5t-43 -82.5t-68.5 -95t-94.5 -95t-116.5 -82.5t-140 -59t-159.5 -22.5t-159.5 22.5t-140 59t-116.5 82.5t-94.5 95t-68.5 95t-43 82.5t-14 57.5t14 57.5t42.5 82.5t68 95 t94.5 95t116.5 82.5t140 59t160.5 22.5zM888 829q-15 15 -18 12t5 -22q25 -57 25 -119q0 -124 -88 -212t-212 -88t-212 88t-88 212q0 59 23 114q8 19 4.5 22t-17.5 -12q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q22 -36 47 -71t70 -82t92.5 -81t113 -58.5t133.5 -24.5 t133.5 24t113 58.5t92.5 81.5t70 81.5t47 70.5q11 18 9 42.5t-14 41.5q-90 117 -163 189zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l35 34q14 15 12.5 33.5t-16.5 33.5q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe106;" d="M592 0h-148l31 120q-91 20 -175.5 68.5t-143.5 106.5t-103.5 119t-66.5 110t-22 76q0 21 14 57.5t42.5 82.5t68 95t94.5 95t116.5 82.5t140 59t160.5 22.5q61 0 126 -15l32 121h148zM944 770l47 181q108 -85 176.5 -192t68.5 -159q0 -26 -19.5 -71t-59.5 -102t-93 -112 t-129 -104.5t-158 -75.5l46 173q77 49 136 117t97 131q11 18 9 42.5t-14 41.5q-54 70 -107 130zM310 824q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q18 -30 39 -60t57 -70.5t74 -73t90 -61t105 -41.5l41 154q-107 18 -178.5 101.5t-71.5 193.5q0 59 23 114q8 19 4.5 22 t-17.5 -12zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l12 11l22 86l-3 4q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe107;" d="M-90 100l642 1066q20 31 48 28.5t48 -35.5l642 -1056q21 -32 7.5 -67.5t-50.5 -35.5h-1294q-37 0 -50.5 34t7.5 66zM155 200h345v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h345l-445 723zM496 700h208q20 0 32 -14.5t8 -34.5l-58 -252 q-4 -20 -21.5 -34.5t-37.5 -14.5h-54q-20 0 -37.5 14.5t-21.5 34.5l-58 252q-4 20 8 34.5t32 14.5z" />
<glyph unicode="&#xe108;" d="M650 1200q62 0 106 -44t44 -106v-339l363 -325q15 -14 26 -38.5t11 -44.5v-41q0 -20 -12 -26.5t-29 5.5l-359 249v-263q100 -93 100 -113v-64q0 -21 -13 -29t-32 1l-205 128l-205 -128q-19 -9 -32 -1t-13 29v64q0 20 100 113v263l-359 -249q-17 -12 -29 -5.5t-12 26.5v41 q0 20 11 44.5t26 38.5l363 325v339q0 62 44 106t106 44z" />
<glyph unicode="&#xe109;" d="M850 1200h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-150h-1100v150q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5h100q21 0 35.5 -14.5t14.5 -35.5v-50h500v50q0 21 14.5 35.5t35.5 14.5zM1100 800v-750q0 -21 -14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v750h1100zM100 600v-100h100v100h-100zM300 600v-100h100v100h-100zM500 600v-100h100v100h-100zM700 600v-100h100v100h-100zM900 600v-100h100v100h-100zM100 400v-100h100v100h-100zM300 400v-100h100v100h-100zM500 400 v-100h100v100h-100zM700 400v-100h100v100h-100zM900 400v-100h100v100h-100zM100 200v-100h100v100h-100zM300 200v-100h100v100h-100zM500 200v-100h100v100h-100zM700 200v-100h100v100h-100zM900 200v-100h100v100h-100z" />
<glyph unicode="&#xe110;" d="M1135 1165l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-159l-600 -600h-291q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h209l600 600h241v150q0 21 10.5 25t24.5 -10zM522 819l-141 -141l-122 122h-209q-21 0 -35.5 14.5 t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h291zM1135 565l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-241l-181 181l141 141l122 -122h159v150q0 21 10.5 25t24.5 -10z" />
<glyph unicode="&#xe111;" d="M100 1100h1000q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-596l-304 -300v300h-100q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5z" />
<glyph unicode="&#xe112;" d="M150 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM850 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM1100 800v-300q0 -41 -3 -77.5t-15 -89.5t-32 -96t-58 -89t-89 -77t-129 -51t-174 -20t-174 20 t-129 51t-89 77t-58 89t-32 96t-15 89.5t-3 77.5v300h300v-250v-27v-42.5t1.5 -41t5 -38t10 -35t16.5 -30t25.5 -24.5t35 -19t46.5 -12t60 -4t60 4.5t46.5 12.5t35 19.5t25 25.5t17 30.5t10 35t5 38t2 40.5t-0.5 42v25v250h300z" />
<glyph unicode="&#xe113;" d="M1100 411l-198 -199l-353 353l-353 -353l-197 199l551 551z" />
<glyph unicode="&#xe114;" d="M1101 789l-550 -551l-551 551l198 199l353 -353l353 353z" />
<glyph unicode="&#xe115;" d="M404 1000h746q21 0 35.5 -14.5t14.5 -35.5v-551h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v401h-381zM135 984l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-400h385l215 -200h-750q-21 0 -35.5 14.5 t-14.5 35.5v550h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe116;" d="M56 1200h94q17 0 31 -11t18 -27l38 -162h896q24 0 39 -18.5t10 -42.5l-100 -475q-5 -21 -27 -42.5t-55 -21.5h-633l48 -200h535q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-50q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-300v-50 q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-31q-18 0 -32.5 10t-20.5 19l-5 10l-201 961h-54q-20 0 -35 14.5t-15 35.5t15 35.5t35 14.5z" />
<glyph unicode="&#xe117;" d="M1200 1000v-100h-1200v100h200q0 41 29.5 70.5t70.5 29.5h300q41 0 70.5 -29.5t29.5 -70.5h500zM0 800h1200v-800h-1200v800z" />
<glyph unicode="&#xe118;" d="M200 800l-200 -400v600h200q0 41 29.5 70.5t70.5 29.5h300q42 0 71 -29.5t29 -70.5h500v-200h-1000zM1500 700l-300 -700h-1200l300 700h1200z" />
<glyph unicode="&#xe119;" d="M635 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-601h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v601h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe120;" d="M936 864l249 -229q14 -15 14 -35.5t-14 -35.5l-249 -229q-15 -15 -25.5 -10.5t-10.5 24.5v151h-600v-151q0 -20 -10.5 -24.5t-25.5 10.5l-249 229q-14 15 -14 35.5t14 35.5l249 229q15 15 25.5 10.5t10.5 -25.5v-149h600v149q0 21 10.5 25.5t25.5 -10.5z" />
<glyph unicode="&#xe121;" d="M1169 400l-172 732q-5 23 -23 45.5t-38 22.5h-672q-20 0 -38 -20t-23 -41l-172 -739h1138zM1100 300h-1000q-41 0 -70.5 -29.5t-29.5 -70.5v-100q0 -41 29.5 -70.5t70.5 -29.5h1000q41 0 70.5 29.5t29.5 70.5v100q0 41 -29.5 70.5t-70.5 29.5zM800 100v100h100v-100h-100 zM1000 100v100h100v-100h-100z" />
<glyph unicode="&#xe122;" d="M1150 1100q21 0 35.5 -14.5t14.5 -35.5v-850q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v850q0 21 14.5 35.5t35.5 14.5zM1000 200l-675 200h-38l47 -276q3 -16 -5.5 -20t-29.5 -4h-7h-84q-20 0 -34.5 14t-18.5 35q-55 337 -55 351v250v6q0 16 1 23.5t6.5 14 t17.5 6.5h200l675 250v-850zM0 750v-250q-4 0 -11 0.5t-24 6t-30 15t-24 30t-11 48.5v50q0 26 10.5 46t25 30t29 16t25.5 7z" />
<glyph unicode="&#xe123;" d="M553 1200h94q20 0 29 -10.5t3 -29.5l-18 -37q83 -19 144 -82.5t76 -140.5l63 -327l118 -173h17q19 0 33 -14.5t14 -35t-13 -40.5t-31 -27q-8 -4 -23 -9.5t-65 -19.5t-103 -25t-132.5 -20t-158.5 -9q-57 0 -115 5t-104 12t-88.5 15.5t-73.5 17.5t-54.5 16t-35.5 12l-11 4 q-18 8 -31 28t-13 40.5t14 35t33 14.5h17l118 173l63 327q15 77 76 140t144 83l-18 32q-6 19 3.5 32t28.5 13zM498 110q50 -6 102 -6q53 0 102 6q-12 -49 -39.5 -79.5t-62.5 -30.5t-63 30.5t-39 79.5z" />
<glyph unicode="&#xe124;" d="M800 946l224 78l-78 -224l234 -45l-180 -155l180 -155l-234 -45l78 -224l-224 78l-45 -234l-155 180l-155 -180l-45 234l-224 -78l78 224l-234 45l180 155l-180 155l234 45l-78 224l224 -78l45 234l155 -180l155 180z" />
<glyph unicode="&#xe125;" d="M650 1200h50q40 0 70 -40.5t30 -84.5v-150l-28 -125h328q40 0 70 -40.5t30 -84.5v-100q0 -45 -29 -74l-238 -344q-16 -24 -38 -40.5t-45 -16.5h-250q-7 0 -42 25t-66 50l-31 25h-61q-45 0 -72.5 18t-27.5 57v400q0 36 20 63l145 196l96 198q13 28 37.5 48t51.5 20z M650 1100l-100 -212l-150 -213v-375h100l136 -100h214l250 375v125h-450l50 225v175h-50zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe126;" d="M600 1100h250q23 0 45 -16.5t38 -40.5l238 -344q29 -29 29 -74v-100q0 -44 -30 -84.5t-70 -40.5h-328q28 -118 28 -125v-150q0 -44 -30 -84.5t-70 -40.5h-50q-27 0 -51.5 20t-37.5 48l-96 198l-145 196q-20 27 -20 63v400q0 39 27.5 57t72.5 18h61q124 100 139 100z M50 1000h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM636 1000l-136 -100h-100v-375l150 -213l100 -212h50v175l-50 225h450v125l-250 375h-214z" />
<glyph unicode="&#xe127;" d="M356 873l363 230q31 16 53 -6l110 -112q13 -13 13.5 -32t-11.5 -34l-84 -121h302q84 0 138 -38t54 -110t-55 -111t-139 -39h-106l-131 -339q-6 -21 -19.5 -41t-28.5 -20h-342q-7 0 -90 81t-83 94v525q0 17 14 35.5t28 28.5zM400 792v-503l100 -89h293l131 339 q6 21 19.5 41t28.5 20h203q21 0 30.5 25t0.5 50t-31 25h-456h-7h-6h-5.5t-6 0.5t-5 1.5t-5 2t-4 2.5t-4 4t-2.5 4.5q-12 25 5 47l146 183l-86 83zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe128;" d="M475 1103l366 -230q2 -1 6 -3.5t14 -10.5t18 -16.5t14.5 -20t6.5 -22.5v-525q0 -13 -86 -94t-93 -81h-342q-15 0 -28.5 20t-19.5 41l-131 339h-106q-85 0 -139.5 39t-54.5 111t54 110t138 38h302l-85 121q-11 15 -10.5 34t13.5 32l110 112q22 22 53 6zM370 945l146 -183 q17 -22 5 -47q-2 -2 -3.5 -4.5t-4 -4t-4 -2.5t-5 -2t-5 -1.5t-6 -0.5h-6h-6.5h-6h-475v-100h221q15 0 29 -20t20 -41l130 -339h294l106 89v503l-342 236zM1050 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5 v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe129;" d="M550 1294q72 0 111 -55t39 -139v-106l339 -131q21 -6 41 -19.5t20 -28.5v-342q0 -7 -81 -90t-94 -83h-525q-17 0 -35.5 14t-28.5 28l-9 14l-230 363q-16 31 6 53l112 110q13 13 32 13.5t34 -11.5l121 -84v302q0 84 38 138t110 54zM600 972v203q0 21 -25 30.5t-50 0.5 t-25 -31v-456v-7v-6v-5.5t-0.5 -6t-1.5 -5t-2 -5t-2.5 -4t-4 -4t-4.5 -2.5q-25 -12 -47 5l-183 146l-83 -86l236 -339h503l89 100v293l-339 131q-21 6 -41 19.5t-20 28.5zM450 200h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe130;" d="M350 1100h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5zM600 306v-106q0 -84 -39 -139t-111 -55t-110 54t-38 138v302l-121 -84q-15 -12 -34 -11.5t-32 13.5l-112 110 q-22 22 -6 53l230 363q1 2 3.5 6t10.5 13.5t16.5 17t20 13.5t22.5 6h525q13 0 94 -83t81 -90v-342q0 -15 -20 -28.5t-41 -19.5zM308 900l-236 -339l83 -86l183 146q22 17 47 5q2 -1 4.5 -2.5t4 -4t2.5 -4t2 -5t1.5 -5t0.5 -6v-5.5v-6v-7v-456q0 -22 25 -31t50 0.5t25 30.5 v203q0 15 20 28.5t41 19.5l339 131v293l-89 100h-503z" />
<glyph unicode="&#xe131;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM914 632l-275 223q-16 13 -27.5 8t-11.5 -26v-137h-275 q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h275v-137q0 -21 11.5 -26t27.5 8l275 223q16 13 16 32t-16 32z" />
<glyph unicode="&#xe132;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM561 855l-275 -223q-16 -13 -16 -32t16 -32l275 -223q16 -13 27.5 -8 t11.5 26v137h275q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5h-275v137q0 21 -11.5 26t-27.5 -8z" />
<glyph unicode="&#xe133;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM855 639l-223 275q-13 16 -32 16t-32 -16l-223 -275q-13 -16 -8 -27.5 t26 -11.5h137v-275q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v275h137q21 0 26 11.5t-8 27.5z" />
<glyph unicode="&#xe134;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM675 900h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-275h-137q-21 0 -26 -11.5 t8 -27.5l223 -275q13 -16 32 -16t32 16l223 275q13 16 8 27.5t-26 11.5h-137v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe135;" d="M600 1176q116 0 222.5 -46t184 -123.5t123.5 -184t46 -222.5t-46 -222.5t-123.5 -184t-184 -123.5t-222.5 -46t-222.5 46t-184 123.5t-123.5 184t-46 222.5t46 222.5t123.5 184t184 123.5t222.5 46zM627 1101q-15 -12 -36.5 -20.5t-35.5 -12t-43 -8t-39 -6.5 q-15 -3 -45.5 0t-45.5 -2q-20 -7 -51.5 -26.5t-34.5 -34.5q-3 -11 6.5 -22.5t8.5 -18.5q-3 -34 -27.5 -91t-29.5 -79q-9 -34 5 -93t8 -87q0 -9 17 -44.5t16 -59.5q12 0 23 -5t23.5 -15t19.5 -14q16 -8 33 -15t40.5 -15t34.5 -12q21 -9 52.5 -32t60 -38t57.5 -11 q7 -15 -3 -34t-22.5 -40t-9.5 -38q13 -21 23 -34.5t27.5 -27.5t36.5 -18q0 -7 -3.5 -16t-3.5 -14t5 -17q104 -2 221 112q30 29 46.5 47t34.5 49t21 63q-13 8 -37 8.5t-36 7.5q-15 7 -49.5 15t-51.5 19q-18 0 -41 -0.5t-43 -1.5t-42 -6.5t-38 -16.5q-51 -35 -66 -12 q-4 1 -3.5 25.5t0.5 25.5q-6 13 -26.5 17.5t-24.5 6.5q1 15 -0.5 30.5t-7 28t-18.5 11.5t-31 -21q-23 -25 -42 4q-19 28 -8 58q6 16 22 22q6 -1 26 -1.5t33.5 -4t19.5 -13.5q7 -12 18 -24t21.5 -20.5t20 -15t15.5 -10.5l5 -3q2 12 7.5 30.5t8 34.5t-0.5 32q-3 18 3.5 29 t18 22.5t15.5 24.5q6 14 10.5 35t8 31t15.5 22.5t34 22.5q-6 18 10 36q8 0 24 -1.5t24.5 -1.5t20 4.5t20.5 15.5q-10 23 -31 42.5t-37.5 29.5t-49 27t-43.5 23q0 1 2 8t3 11.5t1.5 10.5t-1 9.5t-4.5 4.5q31 -13 58.5 -14.5t38.5 2.5l12 5q5 28 -9.5 46t-36.5 24t-50 15 t-41 20q-18 -4 -37 0zM613 994q0 -17 8 -42t17 -45t9 -23q-8 1 -39.5 5.5t-52.5 10t-37 16.5q3 11 16 29.5t16 25.5q10 -10 19 -10t14 6t13.5 14.5t16.5 12.5z" />
<glyph unicode="&#xe136;" d="M756 1157q164 92 306 -9l-259 -138l145 -232l251 126q6 -89 -34 -156.5t-117 -110.5q-60 -34 -127 -39.5t-126 16.5l-596 -596q-15 -16 -36.5 -16t-36.5 16l-111 110q-15 15 -15 36.5t15 37.5l600 599q-34 101 5.5 201.5t135.5 154.5z" />
<glyph unicode="&#xe137;" horiz-adv-x="1220" d="M100 1196h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 1096h-200v-100h200v100zM100 796h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 696h-500v-100h500v100zM100 396h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 296h-300v-100h300v100z " />
<glyph unicode="&#xe138;" d="M150 1200h900q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM700 500v-300l-200 -200v500l-350 500h900z" />
<glyph unicode="&#xe139;" d="M500 1200h200q41 0 70.5 -29.5t29.5 -70.5v-100h300q41 0 70.5 -29.5t29.5 -70.5v-400h-500v100h-200v-100h-500v400q0 41 29.5 70.5t70.5 29.5h300v100q0 41 29.5 70.5t70.5 29.5zM500 1100v-100h200v100h-200zM1200 400v-200q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v200h1200z" />
<glyph unicode="&#xe140;" d="M50 1200h300q21 0 25 -10.5t-10 -24.5l-94 -94l199 -199q7 -8 7 -18t-7 -18l-106 -106q-8 -7 -18 -7t-18 7l-199 199l-94 -94q-14 -14 -24.5 -10t-10.5 25v300q0 21 14.5 35.5t35.5 14.5zM850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-199 -199q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l199 199l-94 94q-14 14 -10 24.5t25 10.5zM364 470l106 -106q7 -8 7 -18t-7 -18l-199 -199l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l199 199 q8 7 18 7t18 -7zM1071 271l94 94q14 14 24.5 10t10.5 -25v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -25 10.5t10 24.5l94 94l-199 199q-7 8 -7 18t7 18l106 106q8 7 18 7t18 -7z" />
<glyph unicode="&#xe141;" d="M596 1192q121 0 231.5 -47.5t190 -127t127 -190t47.5 -231.5t-47.5 -231.5t-127 -190.5t-190 -127t-231.5 -47t-231.5 47t-190.5 127t-127 190.5t-47 231.5t47 231.5t127 190t190.5 127t231.5 47.5zM596 1010q-112 0 -207.5 -55.5t-151 -151t-55.5 -207.5t55.5 -207.5 t151 -151t207.5 -55.5t207.5 55.5t151 151t55.5 207.5t-55.5 207.5t-151 151t-207.5 55.5zM454.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38.5 -16.5t-38.5 16.5t-16 39t16 38.5t38.5 16zM754.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38 -16.5q-14 0 -29 10l-55 -145 q17 -23 17 -51q0 -36 -25.5 -61.5t-61.5 -25.5t-61.5 25.5t-25.5 61.5q0 32 20.5 56.5t51.5 29.5l122 126l1 1q-9 14 -9 28q0 23 16 39t38.5 16zM345.5 709q22.5 0 38.5 -16t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16zM854.5 709q22.5 0 38.5 -16 t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16z" />
<glyph unicode="&#xe142;" d="M546 173l469 470q91 91 99 192q7 98 -52 175.5t-154 94.5q-22 4 -47 4q-34 0 -66.5 -10t-56.5 -23t-55.5 -38t-48 -41.5t-48.5 -47.5q-376 -375 -391 -390q-30 -27 -45 -41.5t-37.5 -41t-32 -46.5t-16 -47.5t-1.5 -56.5q9 -62 53.5 -95t99.5 -33q74 0 125 51l548 548 q36 36 20 75q-7 16 -21.5 26t-32.5 10q-26 0 -50 -23q-13 -12 -39 -38l-341 -338q-15 -15 -35.5 -15.5t-34.5 13.5t-14 34.5t14 34.5q327 333 361 367q35 35 67.5 51.5t78.5 16.5q14 0 29 -1q44 -8 74.5 -35.5t43.5 -68.5q14 -47 2 -96.5t-47 -84.5q-12 -11 -32 -32 t-79.5 -81t-114.5 -115t-124.5 -123.5t-123 -119.5t-96.5 -89t-57 -45q-56 -27 -120 -27q-70 0 -129 32t-93 89q-48 78 -35 173t81 163l511 511q71 72 111 96q91 55 198 55q80 0 152 -33q78 -36 129.5 -103t66.5 -154q17 -93 -11 -183.5t-94 -156.5l-482 -476 q-15 -15 -36 -16t-37 14t-17.5 34t14.5 35z" />
<glyph unicode="&#xe143;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104zM896 972q-33 0 -64.5 -19t-56.5 -46t-47.5 -53.5t-43.5 -45.5t-37.5 -19t-36 19t-40 45.5t-43 53.5t-54 46t-65.5 19q-67 0 -122.5 -55.5t-55.5 -132.5q0 -23 13.5 -51t46 -65t57.5 -63t76 -75l22 -22q15 -14 44 -44t50.5 -51t46 -44t41 -35t23 -12 t23.5 12t42.5 36t46 44t52.5 52t44 43q4 4 12 13q43 41 63.5 62t52 55t46 55t26 46t11.5 44q0 79 -53 133.5t-120 54.5z" />
<glyph unicode="&#xe144;" d="M776.5 1214q93.5 0 159.5 -66l141 -141q66 -66 66 -160q0 -42 -28 -95.5t-62 -87.5l-29 -29q-31 53 -77 99l-18 18l95 95l-247 248l-389 -389l212 -212l-105 -106l-19 18l-141 141q-66 66 -66 159t66 159l283 283q65 66 158.5 66zM600 706l105 105q10 -8 19 -17l141 -141 q66 -66 66 -159t-66 -159l-283 -283q-66 -66 -159 -66t-159 66l-141 141q-66 66 -66 159.5t66 159.5l55 55q29 -55 75 -102l18 -17l-95 -95l247 -248l389 389z" />
<glyph unicode="&#xe145;" d="M603 1200q85 0 162 -15t127 -38t79 -48t29 -46v-953q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-41 0 -70.5 29.5t-29.5 70.5v953q0 21 30 46.5t81 48t129 37.5t163 15zM300 1000v-700h600v700h-600zM600 254q-43 0 -73.5 -30.5t-30.5 -73.5t30.5 -73.5t73.5 -30.5t73.5 30.5 t30.5 73.5t-30.5 73.5t-73.5 30.5z" />
<glyph unicode="&#xe146;" d="M902 1185l283 -282q15 -15 15 -36t-14.5 -35.5t-35.5 -14.5t-35 15l-36 35l-279 -267v-300l-212 210l-308 -307l-280 -203l203 280l307 308l-210 212h300l267 279l-35 36q-15 14 -15 35t14.5 35.5t35.5 14.5t35 -15z" />
<glyph unicode="&#xe148;" d="M700 1248v-78q38 -5 72.5 -14.5t75.5 -31.5t71 -53.5t52 -84t24 -118.5h-159q-4 36 -10.5 59t-21 45t-40 35.5t-64.5 20.5v-307l64 -13q34 -7 64 -16.5t70 -32t67.5 -52.5t47.5 -80t20 -112q0 -139 -89 -224t-244 -97v-77h-100v79q-150 16 -237 103q-40 40 -52.5 93.5 t-15.5 139.5h139q5 -77 48.5 -126t117.5 -65v335l-27 8q-46 14 -79 26.5t-72 36t-63 52t-40 72.5t-16 98q0 70 25 126t67.5 92t94.5 57t110 27v77h100zM600 754v274q-29 -4 -50 -11t-42 -21.5t-31.5 -41.5t-10.5 -65q0 -29 7 -50.5t16.5 -34t28.5 -22.5t31.5 -14t37.5 -10 q9 -3 13 -4zM700 547v-310q22 2 42.5 6.5t45 15.5t41.5 27t29 42t12 59.5t-12.5 59.5t-38 44.5t-53 31t-66.5 24.5z" />
<glyph unicode="&#xe149;" d="M561 1197q84 0 160.5 -40t123.5 -109.5t47 -147.5h-153q0 40 -19.5 71.5t-49.5 48.5t-59.5 26t-55.5 9q-37 0 -79 -14.5t-62 -35.5q-41 -44 -41 -101q0 -26 13.5 -63t26.5 -61t37 -66q6 -9 9 -14h241v-100h-197q8 -50 -2.5 -115t-31.5 -95q-45 -62 -99 -112 q34 10 83 17.5t71 7.5q32 1 102 -16t104 -17q83 0 136 30l50 -147q-31 -19 -58 -30.5t-55 -15.5t-42 -4.5t-46 -0.5q-23 0 -76 17t-111 32.5t-96 11.5q-39 -3 -82 -16t-67 -25l-23 -11l-55 145q4 3 16 11t15.5 10.5t13 9t15.5 12t14.5 14t17.5 18.5q48 55 54 126.5 t-30 142.5h-221v100h166q-23 47 -44 104q-7 20 -12 41.5t-6 55.5t6 66.5t29.5 70.5t58.5 71q97 88 263 88z" />
<glyph unicode="&#xe150;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM935 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-900h-200v900h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe151;" d="M1000 700h-100v100h-100v-100h-100v500h300v-500zM400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM801 1100v-200h100v200h-100zM1000 350l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150z " />
<glyph unicode="&#xe152;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 1050l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150zM1000 0h-100v100h-100v-100h-100v500h300v-500zM801 400v-200h100v200h-100z " />
<glyph unicode="&#xe153;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 700h-100v400h-100v100h200v-500zM1100 0h-100v100h-200v400h300v-500zM901 400v-200h100v200h-100z" />
<glyph unicode="&#xe154;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1100 700h-100v100h-200v400h300v-500zM901 1100v-200h100v200h-100zM1000 0h-100v400h-100v100h200v-500z" />
<glyph unicode="&#xe155;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM900 1000h-200v200h200v-200zM1000 700h-300v200h300v-200zM1100 400h-400v200h400v-200zM1200 100h-500v200h500v-200z" />
<glyph unicode="&#xe156;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1200 1000h-500v200h500v-200zM1100 700h-400v200h400v-200zM1000 400h-300v200h300v-200zM900 100h-200v200h200v-200z" />
<glyph unicode="&#xe157;" d="M350 1100h400q162 0 256 -93.5t94 -256.5v-400q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5z" />
<glyph unicode="&#xe158;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-163 0 -256.5 92.5t-93.5 257.5v400q0 163 94 256.5t256 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM440 770l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe159;" d="M350 1100h400q163 0 256.5 -94t93.5 -256v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 163 92.5 256.5t257.5 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM350 700h400q21 0 26.5 -12t-6.5 -28l-190 -253q-12 -17 -30 -17t-30 17l-190 253q-12 16 -6.5 28t26.5 12z" />
<glyph unicode="&#xe160;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -163 -92.5 -256.5t-257.5 -93.5h-400q-163 0 -256.5 94t-93.5 256v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM580 693l190 -253q12 -16 6.5 -28t-26.5 -12h-400q-21 0 -26.5 12t6.5 28l190 253q12 17 30 17t30 -17z" />
<glyph unicode="&#xe161;" d="M550 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h450q41 0 70.5 29.5t29.5 70.5v500q0 41 -29.5 70.5t-70.5 29.5h-450q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM338 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe162;" d="M793 1182l9 -9q8 -10 5 -27q-3 -11 -79 -225.5t-78 -221.5l300 1q24 0 32.5 -17.5t-5.5 -35.5q-1 0 -133.5 -155t-267 -312.5t-138.5 -162.5q-12 -15 -26 -15h-9l-9 8q-9 11 -4 32q2 9 42 123.5t79 224.5l39 110h-302q-23 0 -31 19q-10 21 6 41q75 86 209.5 237.5 t228 257t98.5 111.5q9 16 25 16h9z" />
<glyph unicode="&#xe163;" d="M350 1100h400q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-450q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h450q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400 q0 165 92.5 257.5t257.5 92.5zM938 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe164;" d="M750 1200h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -10.5 -25t-24.5 10l-109 109l-312 -312q-15 -15 -35.5 -15t-35.5 15l-141 141q-15 15 -15 35.5t15 35.5l312 312l-109 109q-14 14 -10 24.5t25 10.5zM456 900h-156q-41 0 -70.5 -29.5t-29.5 -70.5v-500 q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v148l200 200v-298q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5h300z" />
<glyph unicode="&#xe165;" d="M600 1186q119 0 227.5 -46.5t187 -125t125 -187t46.5 -227.5t-46.5 -227.5t-125 -187t-187 -125t-227.5 -46.5t-227.5 46.5t-187 125t-125 187t-46.5 227.5t46.5 227.5t125 187t187 125t227.5 46.5zM600 1022q-115 0 -212 -56.5t-153.5 -153.5t-56.5 -212t56.5 -212 t153.5 -153.5t212 -56.5t212 56.5t153.5 153.5t56.5 212t-56.5 212t-153.5 153.5t-212 56.5zM600 794q80 0 137 -57t57 -137t-57 -137t-137 -57t-137 57t-57 137t57 137t137 57z" />
<glyph unicode="&#xe166;" d="M450 1200h200q21 0 35.5 -14.5t14.5 -35.5v-350h245q20 0 25 -11t-9 -26l-383 -426q-14 -15 -33.5 -15t-32.5 15l-379 426q-13 15 -8.5 26t25.5 11h250v350q0 21 14.5 35.5t35.5 14.5zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe167;" d="M583 1182l378 -435q14 -15 9 -31t-26 -16h-244v-250q0 -20 -17 -35t-39 -15h-200q-20 0 -32 14.5t-12 35.5v250h-250q-20 0 -25.5 16.5t8.5 31.5l383 431q14 16 33.5 17t33.5 -14zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe168;" d="M396 723l369 369q7 7 17.5 7t17.5 -7l139 -139q7 -8 7 -18.5t-7 -17.5l-525 -525q-7 -8 -17.5 -8t-17.5 8l-292 291q-7 8 -7 18t7 18l139 139q8 7 18.5 7t17.5 -7zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50 h-100z" />
<glyph unicode="&#xe169;" d="M135 1023l142 142q14 14 35 14t35 -14l77 -77l-212 -212l-77 76q-14 15 -14 36t14 35zM655 855l210 210q14 14 24.5 10t10.5 -25l-2 -599q-1 -20 -15.5 -35t-35.5 -15l-597 -1q-21 0 -25 10.5t10 24.5l208 208l-154 155l212 212zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5 v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe170;" d="M350 1200l599 -2q20 -1 35 -15.5t15 -35.5l1 -597q0 -21 -10.5 -25t-24.5 10l-208 208l-155 -154l-212 212l155 154l-210 210q-14 14 -10 24.5t25 10.5zM524 512l-76 -77q-15 -14 -36 -14t-35 14l-142 142q-14 14 -14 35t14 35l77 77zM50 300h1000q21 0 35.5 -14.5 t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe171;" d="M1200 103l-483 276l-314 -399v423h-399l1196 796v-1096zM483 424v-230l683 953z" />
<glyph unicode="&#xe172;" d="M1100 1000v-850q0 -21 -14.5 -35.5t-35.5 -14.5h-150v400h-700v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200z" />
<glyph unicode="&#xe173;" d="M1100 1000l-2 -149l-299 -299l-95 95q-9 9 -21.5 9t-21.5 -9l-149 -147h-312v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1132 638l106 -106q7 -7 7 -17.5t-7 -17.5l-420 -421q-8 -7 -18 -7 t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l297 297q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe174;" d="M1100 1000v-269l-103 -103l-134 134q-15 15 -33.5 16.5t-34.5 -12.5l-266 -266h-329v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1202 572l70 -70q15 -15 15 -35.5t-15 -35.5l-131 -131 l131 -131q15 -15 15 -35.5t-15 -35.5l-70 -70q-15 -15 -35.5 -15t-35.5 15l-131 131l-131 -131q-15 -15 -35.5 -15t-35.5 15l-70 70q-15 15 -15 35.5t15 35.5l131 131l-131 131q-15 15 -15 35.5t15 35.5l70 70q15 15 35.5 15t35.5 -15l131 -131l131 131q15 15 35.5 15 t35.5 -15z" />
<glyph unicode="&#xe175;" d="M1100 1000v-300h-350q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-500v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM850 600h100q21 0 35.5 -14.5t14.5 -35.5v-250h150q21 0 25 -10.5t-10 -24.5 l-230 -230q-14 -14 -35 -14t-35 14l-230 230q-14 14 -10 24.5t25 10.5h150v250q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe176;" d="M1100 1000v-400l-165 165q-14 15 -35 15t-35 -15l-263 -265h-402v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM935 565l230 -229q14 -15 10 -25.5t-25 -10.5h-150v-250q0 -20 -14.5 -35 t-35.5 -15h-100q-21 0 -35.5 15t-14.5 35v250h-150q-21 0 -25 10.5t10 25.5l230 229q14 15 35 15t35 -15z" />
<glyph unicode="&#xe177;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-150h-1200v150q0 21 14.5 35.5t35.5 14.5zM1200 800v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v550h1200zM100 500v-200h400v200h-400z" />
<glyph unicode="&#xe178;" d="M935 1165l248 -230q14 -14 14 -35t-14 -35l-248 -230q-14 -14 -24.5 -10t-10.5 25v150h-400v200h400v150q0 21 10.5 25t24.5 -10zM200 800h-50q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v-200zM400 800h-100v200h100v-200zM18 435l247 230 q14 14 24.5 10t10.5 -25v-150h400v-200h-400v-150q0 -21 -10.5 -25t-24.5 10l-247 230q-15 14 -15 35t15 35zM900 300h-100v200h100v-200zM1000 500h51q20 0 34.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-34.5 -14.5h-51v200z" />
<glyph unicode="&#xe179;" d="M862 1073l276 116q25 18 43.5 8t18.5 -41v-1106q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v397q-4 1 -11 5t-24 17.5t-30 29t-24 42t-11 56.5v359q0 31 18.5 65t43.5 52zM550 1200q22 0 34.5 -12.5t14.5 -24.5l1 -13v-450q0 -28 -10.5 -59.5 t-25 -56t-29 -45t-25.5 -31.5l-10 -11v-447q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v447q-4 4 -11 11.5t-24 30.5t-30 46t-24 55t-11 60v450q0 2 0.5 5.5t4 12t8.5 15t14.5 12t22.5 5.5q20 0 32.5 -12.5t14.5 -24.5l3 -13v-350h100v350v5.5t2.5 12 t7 15t15 12t25.5 5.5q23 0 35.5 -12.5t13.5 -24.5l1 -13v-350h100v350q0 2 0.5 5.5t3 12t7 15t15 12t24.5 5.5z" />
<glyph unicode="&#xe180;" d="M1200 1100v-56q-4 0 -11 -0.5t-24 -3t-30 -7.5t-24 -15t-11 -24v-888q0 -22 25 -34.5t50 -13.5l25 -2v-56h-400v56q75 0 87.5 6.5t12.5 43.5v394h-500v-394q0 -37 12.5 -43.5t87.5 -6.5v-56h-400v56q4 0 11 0.5t24 3t30 7.5t24 15t11 24v888q0 22 -25 34.5t-50 13.5 l-25 2v56h400v-56q-75 0 -87.5 -6.5t-12.5 -43.5v-394h500v394q0 37 -12.5 43.5t-87.5 6.5v56h400z" />
<glyph unicode="&#xe181;" d="M675 1000h375q21 0 35.5 -14.5t14.5 -35.5v-150h-105l-295 -98v98l-200 200h-400l100 100h375zM100 900h300q41 0 70.5 -29.5t29.5 -70.5v-500q0 -41 -29.5 -70.5t-70.5 -29.5h-300q-41 0 -70.5 29.5t-29.5 70.5v500q0 41 29.5 70.5t70.5 29.5zM100 800v-200h300v200 h-300zM1100 535l-400 -133v163l400 133v-163zM100 500v-200h300v200h-300zM1100 398v-248q0 -21 -14.5 -35.5t-35.5 -14.5h-375l-100 -100h-375l-100 100h400l200 200h105z" />
<glyph unicode="&#xe182;" d="M17 1007l162 162q17 17 40 14t37 -22l139 -194q14 -20 11 -44.5t-20 -41.5l-119 -118q102 -142 228 -268t267 -227l119 118q17 17 42.5 19t44.5 -12l192 -136q19 -14 22.5 -37.5t-13.5 -40.5l-163 -162q-3 -1 -9.5 -1t-29.5 2t-47.5 6t-62.5 14.5t-77.5 26.5t-90 42.5 t-101.5 60t-111 83t-119 108.5q-74 74 -133.5 150.5t-94.5 138.5t-60 119.5t-34.5 100t-15 74.5t-4.5 48z" />
<glyph unicode="&#xe183;" d="M600 1100q92 0 175 -10.5t141.5 -27t108.5 -36.5t81.5 -40t53.5 -37t31 -27l9 -10v-200q0 -21 -14.5 -33t-34.5 -9l-202 34q-20 3 -34.5 20t-14.5 38v146q-141 24 -300 24t-300 -24v-146q0 -21 -14.5 -38t-34.5 -20l-202 -34q-20 -3 -34.5 9t-14.5 33v200q3 4 9.5 10.5 t31 26t54 37.5t80.5 39.5t109 37.5t141 26.5t175 10.5zM600 795q56 0 97 -9.5t60 -23.5t30 -28t12 -24l1 -10v-50l365 -303q14 -15 24.5 -40t10.5 -45v-212q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v212q0 20 10.5 45t24.5 40l365 303v50 q0 4 1 10.5t12 23t30 29t60 22.5t97 10z" />
<glyph unicode="&#xe184;" d="M1100 700l-200 -200h-600l-200 200v500h200v-200h200v200h200v-200h200v200h200v-500zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5 t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe185;" d="M700 1100h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-1000h300v1000q0 41 -29.5 70.5t-70.5 29.5zM1100 800h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-700h300v700q0 41 -29.5 70.5t-70.5 29.5zM400 0h-300v400q0 41 29.5 70.5t70.5 29.5h100q41 0 70.5 -29.5t29.5 -70.5v-400z " />
<glyph unicode="&#xe186;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe187;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 300h-100v200h-100v-200h-100v500h100v-200h100v200h100v-500zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe188;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-300h200v-100h-300v500h300v-100zM900 700h-200v-300h200v-100h-300v500h300v-100z" />
<glyph unicode="&#xe189;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 400l-300 150l300 150v-300zM900 550l-300 -150v300z" />
<glyph unicode="&#xe190;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM900 300h-700v500h700v-500zM800 700h-130q-38 0 -66.5 -43t-28.5 -108t27 -107t68 -42h130v300zM300 700v-300 h130q41 0 68 42t27 107t-28.5 108t-66.5 43h-130z" />
<glyph unicode="&#xe191;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 300h-100v400h-100v100h200v-500z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe192;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM300 700h200v-400h-300v500h100v-100zM900 300h-100v400h-100v100h200v-500zM300 600v-200h100v200h-100z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe193;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 500l-199 -200h-100v50l199 200v150h-200v100h300v-300zM900 300h-100v400h-100v100h200v-500zM701 300h-100 v100h100v-100z" />
<glyph unicode="&#xe194;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700h-300v-200h300v-100h-300l-100 100v200l100 100h300v-100z" />
<glyph unicode="&#xe195;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700v-100l-50 -50l100 -100v-50h-100l-100 100h-150v-100h-100v400h300zM500 700v-100h200v100h-200z" />
<glyph unicode="&#xe197;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -207t-85 -207t-205 -86.5h-128v250q0 21 -14.5 35.5t-35.5 14.5h-300q-21 0 -35.5 -14.5t-14.5 -35.5v-250h-222q-80 0 -136 57.5t-56 136.5q0 69 43 122.5t108 67.5q-2 19 -2 37q0 100 49 185 t134 134t185 49zM525 500h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -244q-13 -16 -32 -16t-32 16l-223 244q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe198;" d="M502 1089q110 0 201 -59.5t135 -156.5q43 15 89 15q121 0 206 -86.5t86 -206.5q0 -99 -60 -181t-150 -110l-378 360q-13 16 -31.5 16t-31.5 -16l-381 -365h-9q-79 0 -135.5 57.5t-56.5 136.5q0 69 43 122.5t108 67.5q-2 19 -2 38q0 100 49 184.5t133.5 134t184.5 49.5z M632 467l223 -228q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5q199 204 223 228q19 19 31.5 19t32.5 -19z" />
<glyph unicode="&#xe199;" d="M700 100v100h400l-270 300h170l-270 300h170l-300 333l-300 -333h170l-270 -300h170l-270 -300h400v-100h-50q-21 0 -35.5 -14.5t-14.5 -35.5v-50h400v50q0 21 -14.5 35.5t-35.5 14.5h-50z" />
<glyph unicode="&#xe200;" d="M600 1179q94 0 167.5 -56.5t99.5 -145.5q89 -6 150.5 -71.5t61.5 -155.5q0 -61 -29.5 -112.5t-79.5 -82.5q9 -29 9 -55q0 -74 -52.5 -126.5t-126.5 -52.5q-55 0 -100 30v-251q21 0 35.5 -14.5t14.5 -35.5v-50h-300v50q0 21 14.5 35.5t35.5 14.5v251q-45 -30 -100 -30 q-74 0 -126.5 52.5t-52.5 126.5q0 18 4 38q-47 21 -75.5 65t-28.5 97q0 74 52.5 126.5t126.5 52.5q5 0 23 -2q0 2 -1 10t-1 13q0 116 81.5 197.5t197.5 81.5z" />
<glyph unicode="&#xe201;" d="M1010 1010q111 -111 150.5 -260.5t0 -299t-150.5 -260.5q-83 -83 -191.5 -126.5t-218.5 -43.5t-218.5 43.5t-191.5 126.5q-111 111 -150.5 260.5t0 299t150.5 260.5q83 83 191.5 126.5t218.5 43.5t218.5 -43.5t191.5 -126.5zM476 1065q-4 0 -8 -1q-121 -34 -209.5 -122.5 t-122.5 -209.5q-4 -12 2.5 -23t18.5 -14l36 -9q3 -1 7 -1q23 0 29 22q27 96 98 166q70 71 166 98q11 3 17.5 13.5t3.5 22.5l-9 35q-3 13 -14 19q-7 4 -15 4zM512 920q-4 0 -9 -2q-80 -24 -138.5 -82.5t-82.5 -138.5q-4 -13 2 -24t19 -14l34 -9q4 -1 8 -1q22 0 28 21 q18 58 58.5 98.5t97.5 58.5q12 3 18 13.5t3 21.5l-9 35q-3 12 -14 19q-7 4 -15 4zM719.5 719.5q-49.5 49.5 -119.5 49.5t-119.5 -49.5t-49.5 -119.5t49.5 -119.5t119.5 -49.5t119.5 49.5t49.5 119.5t-49.5 119.5zM855 551q-22 0 -28 -21q-18 -58 -58.5 -98.5t-98.5 -57.5 q-11 -4 -17 -14.5t-3 -21.5l9 -35q3 -12 14 -19q7 -4 15 -4q4 0 9 2q80 24 138.5 82.5t82.5 138.5q4 13 -2.5 24t-18.5 14l-34 9q-4 1 -8 1zM1000 515q-23 0 -29 -22q-27 -96 -98 -166q-70 -71 -166 -98q-11 -3 -17.5 -13.5t-3.5 -22.5l9 -35q3 -13 14 -19q7 -4 15 -4 q4 0 8 1q121 34 209.5 122.5t122.5 209.5q4 12 -2.5 23t-18.5 14l-36 9q-3 1 -7 1z" />
<glyph unicode="&#xe202;" d="M700 800h300v-380h-180v200h-340v-200h-380v755q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM700 300h162l-212 -212l-212 212h162v200h100v-200zM520 0h-395q-10 0 -17.5 7.5t-7.5 17.5v395zM1000 220v-195q0 -10 -7.5 -17.5t-17.5 -7.5h-195z" />
<glyph unicode="&#xe203;" d="M700 800h300v-520l-350 350l-550 -550v1095q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM862 200h-162v-200h-100v200h-162l212 212zM480 0h-355q-10 0 -17.5 7.5t-7.5 17.5v55h380v-80zM1000 80v-55q0 -10 -7.5 -17.5t-17.5 -7.5h-155v80h180z" />
<glyph unicode="&#xe204;" d="M1162 800h-162v-200h100l100 -100h-300v300h-162l212 212zM200 800h200q27 0 40 -2t29.5 -10.5t23.5 -30t7 -57.5h300v-100h-600l-200 -350v450h100q0 36 7 57.5t23.5 30t29.5 10.5t40 2zM800 400h240l-240 -400h-800l300 500h500v-100z" />
<glyph unicode="&#xe205;" d="M650 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM1000 850v150q41 0 70.5 -29.5t29.5 -70.5v-800 q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-1 0 -20 4l246 246l-326 326v324q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM412 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe206;" d="M450 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM800 850v150q41 0 70.5 -29.5t29.5 -70.5v-500 h-200v-300h200q0 -36 -7 -57.5t-23.5 -30t-29.5 -10.5t-40 -2h-600q-41 0 -70.5 29.5t-29.5 70.5v800q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM1212 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe209;" d="M658 1197l637 -1104q23 -38 7 -65.5t-60 -27.5h-1276q-44 0 -60 27.5t7 65.5l637 1104q22 39 54 39t54 -39zM704 800h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM500 300v-100h200 v100h-200z" />
<glyph unicode="&#xe210;" d="M425 1100h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM825 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM25 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5zM425 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5 v150q0 10 7.5 17.5t17.5 7.5zM25 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe211;" d="M700 1200h100v-200h-100v-100h350q62 0 86.5 -39.5t-3.5 -94.5l-66 -132q-41 -83 -81 -134h-772q-40 51 -81 134l-66 132q-28 55 -3.5 94.5t86.5 39.5h350v100h-100v200h100v100h200v-100zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100 h-950l138 100h-13q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe212;" d="M600 1300q40 0 68.5 -29.5t28.5 -70.5h-194q0 41 28.5 70.5t68.5 29.5zM443 1100h314q18 -37 18 -75q0 -8 -3 -25h328q41 0 44.5 -16.5t-30.5 -38.5l-175 -145h-678l-178 145q-34 22 -29 38.5t46 16.5h328q-3 17 -3 25q0 38 18 75zM250 700h700q21 0 35.5 -14.5 t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-150v-200l275 -200h-950l275 200v200h-150q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe213;" d="M600 1181q75 0 128 -53t53 -128t-53 -128t-128 -53t-128 53t-53 128t53 128t128 53zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13 l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe214;" d="M600 1300q47 0 92.5 -53.5t71 -123t25.5 -123.5q0 -78 -55.5 -133.5t-133.5 -55.5t-133.5 55.5t-55.5 133.5q0 62 34 143l144 -143l111 111l-163 163q34 26 63 26zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45 zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe215;" d="M600 1200l300 -161v-139h-300q0 -57 18.5 -108t50 -91.5t63 -72t70 -67.5t57.5 -61h-530q-60 83 -90.5 177.5t-30.5 178.5t33 164.5t87.5 139.5t126 96.5t145.5 41.5v-98zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100 h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe216;" d="M600 1300q41 0 70.5 -29.5t29.5 -70.5v-78q46 -26 73 -72t27 -100v-50h-400v50q0 54 27 100t73 72v78q0 41 29.5 70.5t70.5 29.5zM400 800h400q54 0 100 -27t72 -73h-172v-100h200v-100h-200v-100h200v-100h-200v-100h200q0 -83 -58.5 -141.5t-141.5 -58.5h-400 q-83 0 -141.5 58.5t-58.5 141.5v400q0 83 58.5 141.5t141.5 58.5z" />
<glyph unicode="&#xe218;" d="M150 1100h900q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM125 400h950q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-283l224 -224q13 -13 13 -31.5t-13 -32 t-31.5 -13.5t-31.5 13l-88 88h-524l-87 -88q-13 -13 -32 -13t-32 13.5t-13 32t13 31.5l224 224h-289q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM541 300l-100 -100h324l-100 100h-124z" />
<glyph unicode="&#xe219;" d="M200 1100h800q83 0 141.5 -58.5t58.5 -141.5v-200h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100v200q0 83 58.5 141.5t141.5 58.5zM100 600h1000q41 0 70.5 -29.5 t29.5 -70.5v-300h-1200v300q0 41 29.5 70.5t70.5 29.5zM300 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200zM1100 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200z" />
<glyph unicode="&#xe221;" d="M480 1165l682 -683q31 -31 31 -75.5t-31 -75.5l-131 -131h-481l-517 518q-32 31 -32 75.5t32 75.5l295 296q31 31 75.5 31t76.5 -31zM108 794l342 -342l303 304l-341 341zM250 100h800q21 0 35.5 -14.5t14.5 -35.5v-50h-900v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe223;" d="M1057 647l-189 506q-8 19 -27.5 33t-40.5 14h-400q-21 0 -40.5 -14t-27.5 -33l-189 -506q-8 -19 1.5 -33t30.5 -14h625v-150q0 -21 14.5 -35.5t35.5 -14.5t35.5 14.5t14.5 35.5v150h125q21 0 30.5 14t1.5 33zM897 0h-595v50q0 21 14.5 35.5t35.5 14.5h50v50 q0 21 14.5 35.5t35.5 14.5h48v300h200v-300h47q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-50z" />
<glyph unicode="&#xe224;" d="M900 800h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-375v591l-300 300v84q0 10 7.5 17.5t17.5 7.5h375v-400zM1200 900h-200v200zM400 600h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-650q-10 0 -17.5 7.5t-7.5 17.5v950q0 10 7.5 17.5t17.5 7.5h375v-400zM700 700h-200v200z " />
<glyph unicode="&#xe225;" d="M484 1095h195q75 0 146 -32.5t124 -86t89.5 -122.5t48.5 -142q18 -14 35 -20q31 -10 64.5 6.5t43.5 48.5q10 34 -15 71q-19 27 -9 43q5 8 12.5 11t19 -1t23.5 -16q41 -44 39 -105q-3 -63 -46 -106.5t-104 -43.5h-62q-7 -55 -35 -117t-56 -100l-39 -234q-3 -20 -20 -34.5 t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l12 70q-49 -14 -91 -14h-195q-24 0 -65 8l-11 -64q-3 -20 -20 -34.5t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l26 157q-84 74 -128 175l-159 53q-19 7 -33 26t-14 40v50q0 21 14.5 35.5t35.5 14.5h124q11 87 56 166l-111 95 q-16 14 -12.5 23.5t24.5 9.5h203q116 101 250 101zM675 1000h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h250q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe226;" d="M641 900l423 247q19 8 42 2.5t37 -21.5l32 -38q14 -15 12.5 -36t-17.5 -34l-139 -120h-390zM50 1100h106q67 0 103 -17t66 -71l102 -212h823q21 0 35.5 -14.5t14.5 -35.5v-50q0 -21 -14 -40t-33 -26l-737 -132q-23 -4 -40 6t-26 25q-42 67 -100 67h-300q-62 0 -106 44 t-44 106v200q0 62 44 106t106 44zM173 928h-80q-19 0 -28 -14t-9 -35v-56q0 -51 42 -51h134q16 0 21.5 8t5.5 24q0 11 -16 45t-27 51q-18 28 -43 28zM550 727q-32 0 -54.5 -22.5t-22.5 -54.5t22.5 -54.5t54.5 -22.5t54.5 22.5t22.5 54.5t-22.5 54.5t-54.5 22.5zM130 389 l152 130q18 19 34 24t31 -3.5t24.5 -17.5t25.5 -28q28 -35 50.5 -51t48.5 -13l63 5l48 -179q13 -61 -3.5 -97.5t-67.5 -79.5l-80 -69q-47 -40 -109 -35.5t-103 51.5l-130 151q-40 47 -35.5 109.5t51.5 102.5zM380 377l-102 -88q-31 -27 2 -65l37 -43q13 -15 27.5 -19.5 t31.5 6.5l61 53q19 16 14 49q-2 20 -12 56t-17 45q-11 12 -19 14t-23 -8z" />
<glyph unicode="&#xe227;" d="M625 1200h150q10 0 17.5 -7.5t7.5 -17.5v-109q79 -33 131 -87.5t53 -128.5q1 -46 -15 -84.5t-39 -61t-46 -38t-39 -21.5l-17 -6q6 0 15 -1.5t35 -9t50 -17.5t53 -30t50 -45t35.5 -64t14.5 -84q0 -59 -11.5 -105.5t-28.5 -76.5t-44 -51t-49.5 -31.5t-54.5 -16t-49.5 -6.5 t-43.5 -1v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-100v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-175q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v600h-75q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5h175v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h100v75q0 10 7.5 17.5t17.5 7.5zM400 900v-200h263q28 0 48.5 10.5t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-263zM400 500v-200h363q28 0 48.5 10.5 t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-363z" />
<glyph unicode="&#xe230;" d="M212 1198h780q86 0 147 -61t61 -147v-416q0 -51 -18 -142.5t-36 -157.5l-18 -66q-29 -87 -93.5 -146.5t-146.5 -59.5h-572q-82 0 -147 59t-93 147q-8 28 -20 73t-32 143.5t-20 149.5v416q0 86 61 147t147 61zM600 1045q-70 0 -132.5 -11.5t-105.5 -30.5t-78.5 -41.5 t-57 -45t-36 -41t-20.5 -30.5l-6 -12l156 -243h560l156 243q-2 5 -6 12.5t-20 29.5t-36.5 42t-57 44.5t-79 42t-105 29.5t-132.5 12zM762 703h-157l195 261z" />
<glyph unicode="&#xe231;" d="M475 1300h150q103 0 189 -86t86 -189v-500q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe232;" d="M475 1300h96q0 -150 89.5 -239.5t239.5 -89.5v-446q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe233;" d="M1294 767l-638 -283l-378 170l-78 -60v-224l100 -150v-199l-150 148l-150 -149v200l100 150v250q0 4 -0.5 10.5t0 9.5t1 8t3 8t6.5 6l47 40l-147 65l642 283zM1000 380l-350 -166l-350 166v147l350 -165l350 165v-147z" />
<glyph unicode="&#xe234;" d="M250 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM650 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM1050 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe235;" d="M550 1100q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 700q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 300q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe236;" d="M125 1100h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM125 700h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM125 300h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe237;" d="M350 1200h500q162 0 256 -93.5t94 -256.5v-500q0 -165 -93.5 -257.5t-256.5 -92.5h-500q-165 0 -257.5 92.5t-92.5 257.5v500q0 165 92.5 257.5t257.5 92.5zM900 1000h-600q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h600q41 0 70.5 29.5 t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5zM350 900h500q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-500q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 14.5 35.5t35.5 14.5zM400 800v-200h400v200h-400z" />
<glyph unicode="&#xe238;" d="M150 1100h1000q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe239;" d="M650 1187q87 -67 118.5 -156t0 -178t-118.5 -155q-87 66 -118.5 155t0 178t118.5 156zM300 800q124 0 212 -88t88 -212q-124 0 -212 88t-88 212zM1000 800q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM300 500q124 0 212 -88t88 -212q-124 0 -212 88t-88 212z M1000 500q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM700 199v-144q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v142q40 -4 43 -4q17 0 57 6z" />
<glyph unicode="&#xe240;" d="M745 878l69 19q25 6 45 -12l298 -295q11 -11 15 -26.5t-2 -30.5q-5 -14 -18 -23.5t-28 -9.5h-8q1 0 1 -13q0 -29 -2 -56t-8.5 -62t-20 -63t-33 -53t-51 -39t-72.5 -14h-146q-184 0 -184 288q0 24 10 47q-20 4 -62 4t-63 -4q11 -24 11 -47q0 -288 -184 -288h-142 q-48 0 -84.5 21t-56 51t-32 71.5t-16 75t-3.5 68.5q0 13 2 13h-7q-15 0 -27.5 9.5t-18.5 23.5q-6 15 -2 30.5t15 25.5l298 296q20 18 46 11l76 -19q20 -5 30.5 -22.5t5.5 -37.5t-22.5 -31t-37.5 -5l-51 12l-182 -193h891l-182 193l-44 -12q-20 -5 -37.5 6t-22.5 31t6 37.5 t31 22.5z" />
<glyph unicode="&#xe241;" d="M1200 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM500 450h-25q0 15 -4 24.5t-9 14.5t-17 7.5t-20 3t-25 0.5h-100v-425q0 -11 12.5 -17.5t25.5 -7.5h12v-50h-200v50q50 0 50 25v425h-100q-17 0 -25 -0.5t-20 -3t-17 -7.5t-9 -14.5t-4 -24.5h-25v150h500v-150z" />
<glyph unicode="&#xe242;" d="M1000 300v50q-25 0 -55 32q-14 14 -25 31t-16 27l-4 11l-289 747h-69l-300 -754q-18 -35 -39 -56q-9 -9 -24.5 -18.5t-26.5 -14.5l-11 -5v-50h273v50q-49 0 -78.5 21.5t-11.5 67.5l69 176h293l61 -166q13 -34 -3.5 -66.5t-55.5 -32.5v-50h312zM412 691l134 342l121 -342 h-255zM1100 150v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe243;" d="M50 1200h1100q21 0 35.5 -14.5t14.5 -35.5v-1100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5zM611 1118h-70q-13 0 -18 -12l-299 -753q-17 -32 -35 -51q-18 -18 -56 -34q-12 -5 -12 -18v-50q0 -8 5.5 -14t14.5 -6 h273q8 0 14 6t6 14v50q0 8 -6 14t-14 6q-55 0 -71 23q-10 14 0 39l63 163h266l57 -153q11 -31 -6 -55q-12 -17 -36 -17q-8 0 -14 -6t-6 -14v-50q0 -8 6 -14t14 -6h313q8 0 14 6t6 14v50q0 7 -5.5 13t-13.5 7q-17 0 -42 25q-25 27 -40 63h-1l-288 748q-5 12 -19 12zM639 611 h-197l103 264z" />
<glyph unicode="&#xe244;" d="M1200 1100h-1200v100h1200v-100zM50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 1000h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM700 900v-300h300v300h-300z" />
<glyph unicode="&#xe245;" d="M50 1200h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 700h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM700 600v-300h300v300h-300zM1200 0h-1200v100h1200v-100z" />
<glyph unicode="&#xe246;" d="M50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-350h100v150q0 21 14.5 35.5t35.5 14.5h400q21 0 35.5 -14.5t14.5 -35.5v-150h100v-100h-100v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v150h-100v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM700 700v-300h300v300h-300z" />
<glyph unicode="&#xe247;" d="M100 0h-100v1200h100v-1200zM250 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM300 1000v-300h300v300h-300zM250 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe248;" d="M600 1100h150q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-100h450q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h350v100h-150q-21 0 -35.5 14.5 t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h150v100h100v-100zM400 1000v-300h300v300h-300z" />
<glyph unicode="&#xe249;" d="M1200 0h-100v1200h100v-1200zM550 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM600 1000v-300h300v300h-300zM50 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe250;" d="M865 565l-494 -494q-23 -23 -41 -23q-14 0 -22 13.5t-8 38.5v1000q0 25 8 38.5t22 13.5q18 0 41 -23l494 -494q14 -14 14 -35t-14 -35z" />
<glyph unicode="&#xe251;" d="M335 635l494 494q29 29 50 20.5t21 -49.5v-1000q0 -41 -21 -49.5t-50 20.5l-494 494q-14 14 -14 35t14 35z" />
<glyph unicode="&#xe252;" d="M100 900h1000q41 0 49.5 -21t-20.5 -50l-494 -494q-14 -14 -35 -14t-35 14l-494 494q-29 29 -20.5 50t49.5 21z" />
<glyph unicode="&#xe253;" d="M635 865l494 -494q29 -29 20.5 -50t-49.5 -21h-1000q-41 0 -49.5 21t20.5 50l494 494q14 14 35 14t35 -14z" />
<glyph unicode="&#xe254;" d="M700 741v-182l-692 -323v221l413 193l-413 193v221zM1200 0h-800v200h800v-200z" />
<glyph unicode="&#xe255;" d="M1200 900h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300zM0 700h50q0 21 4 37t9.5 26.5t18 17.5t22 11t28.5 5.5t31 2t37 0.5h100v-550q0 -22 -25 -34.5t-50 -13.5l-25 -2v-100h400v100q-4 0 -11 0.5t-24 3t-30 7t-24 15t-11 24.5v550h100q25 0 37 -0.5t31 -2 t28.5 -5.5t22 -11t18 -17.5t9.5 -26.5t4 -37h50v300h-800v-300z" />
<glyph unicode="&#xe256;" d="M800 700h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-100v-550q0 -22 25 -34.5t50 -14.5l25 -1v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v550h-100q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h800v-300zM1100 200h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300z" />
<glyph unicode="&#xe257;" d="M701 1098h160q16 0 21 -11t-7 -23l-464 -464l464 -464q12 -12 7 -23t-21 -11h-160q-13 0 -23 9l-471 471q-7 8 -7 18t7 18l471 471q10 9 23 9z" />
<glyph unicode="&#xe258;" d="M339 1098h160q13 0 23 -9l471 -471q7 -8 7 -18t-7 -18l-471 -471q-10 -9 -23 -9h-160q-16 0 -21 11t7 23l464 464l-464 464q-12 12 -7 23t21 11z" />
<glyph unicode="&#xe259;" d="M1087 882q11 -5 11 -21v-160q0 -13 -9 -23l-471 -471q-8 -7 -18 -7t-18 7l-471 471q-9 10 -9 23v160q0 16 11 21t23 -7l464 -464l464 464q12 12 23 7z" />
<glyph unicode="&#xe260;" d="M618 993l471 -471q9 -10 9 -23v-160q0 -16 -11 -21t-23 7l-464 464l-464 -464q-12 -12 -23 -7t-11 21v160q0 13 9 23l471 471q8 7 18 7t18 -7z" />
<glyph unicode="&#xf8ff;" d="M1000 1200q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM450 1000h100q21 0 40 -14t26 -33l79 -194q5 1 16 3q34 6 54 9.5t60 7t65.5 1t61 -10t56.5 -23t42.5 -42t29 -64t5 -92t-19.5 -121.5q-1 -7 -3 -19.5t-11 -50t-20.5 -73t-32.5 -81.5t-46.5 -83t-64 -70 t-82.5 -50q-13 -5 -42 -5t-65.5 2.5t-47.5 2.5q-14 0 -49.5 -3.5t-63 -3.5t-43.5 7q-57 25 -104.5 78.5t-75 111.5t-46.5 112t-26 90l-7 35q-15 63 -18 115t4.5 88.5t26 64t39.5 43.5t52 25.5t58.5 13t62.5 2t59.5 -4.5t55.5 -8l-147 192q-12 18 -5.5 30t27.5 12z" />
<glyph unicode="&#x1f511;" d="M250 1200h600q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-500l-255 -178q-19 -9 -32 -1t-13 29v650h-150q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM400 1100v-100h300v100h-300z" />
<glyph unicode="&#x1f6aa;" d="M250 1200h750q39 0 69.5 -40.5t30.5 -84.5v-933l-700 -117v950l600 125h-700v-1000h-100v1025q0 23 15.5 49t34.5 26zM500 525v-100l100 20v100z" />
</font>
</defs></svg> ) format('svg')}.glyphicon{position:relative;top:1px;display:inline-block;font-family:'Glyphicons Halflings';font-style:normal;font-weight:400;line-height:1;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.glyphicon-asterisk:before{content:"\2a"}.glyphicon-plus:before{content:"\2b"}.glyphicon-eur:before,.glyphicon-euro:before{content:"\20ac"}.glyphicon-minus:before{content:"\2212"}.glyphicon-cloud:before{content:"\2601"}.glyphicon-envelope:before{content:"\2709"}.glyphicon-pencil:before{content:"\270f"}.glyphicon-glass:before{content:"\e001"}.glyphicon-music:before{content:"\e002"}.glyphicon-search:before{content:"\e003"}.glyphicon-heart:before{content:"\e005"}.glyphicon-star:before{content:"\e006"}.glyphicon-star-empty:before{content:"\e007"}.glyphicon-user:before{content:"\e008"}.glyphicon-film:before{content:"\e009"}.glyphicon-th-large:before{content:"\e010"}.glyphicon-th:before{content:"\e011"}.glyphicon-th-list:before{content:"\e012"}.glyphicon-ok:before{content:"\e013"}.glyphicon-remove:before{content:"\e014"}.glyphicon-zoom-in:before{content:"\e015"}.glyphicon-zoom-out:before{content:"\e016"}.glyphicon-off:before{content:"\e017"}.glyphicon-signal:before{content:"\e018"}.glyphicon-cog:before{content:"\e019"}.glyphicon-trash:before{content:"\e020"}.glyphicon-home:before{content:"\e021"}.glyphicon-file:before{content:"\e022"}.glyphicon-time:before{content:"\e023"}.glyphicon-road:before{content:"\e024"}.glyphicon-download-alt:before{content:"\e025"}.glyphicon-download:before{content:"\e026"}.glyphicon-upload:before{content:"\e027"}.glyphicon-inbox:before{content:"\e028"}.glyphicon-play-circle:before{content:"\e029"}.glyphicon-repeat:before{content:"\e030"}.glyphicon-refresh:before{content:"\e031"}.glyphicon-list-alt:before{content:"\e032"}.glyphicon-lock:before{content:"\e033"}.glyphicon-flag:before{content:"\e034"}.glyphicon-headphones:before{content:"\e035"}.glyphicon-volume-off:before{content:"\e036"}.glyphicon-volume-down:before{content:"\e037"}.glyphicon-volume-up:before{content:"\e038"}.glyphicon-qrcode:before{content:"\e039"}.glyphicon-barcode:before{content:"\e040"}.glyphicon-tag:before{content:"\e041"}.glyphicon-tags:before{content:"\e042"}.glyphicon-book:before{content:"\e043"}.glyphicon-bookmark:before{content:"\e044"}.glyphicon-print:before{content:"\e045"}.glyphicon-camera:before{content:"\e046"}.glyphicon-font:before{content:"\e047"}.glyphicon-bold:before{content:"\e048"}.glyphicon-italic:before{content:"\e049"}.glyphicon-text-height:before{content:"\e050"}.glyphicon-text-width:before{content:"\e051"}.glyphicon-align-left:before{content:"\e052"}.glyphicon-align-center:before{content:"\e053"}.glyphicon-align-right:before{content:"\e054"}.glyphicon-align-justify:before{content:"\e055"}.glyphicon-list:before{content:"\e056"}.glyphicon-indent-left:before{content:"\e057"}.glyphicon-indent-right:before{content:"\e058"}.glyphicon-facetime-video:before{content:"\e059"}.glyphicon-picture:before{content:"\e060"}.glyphicon-map-marker:before{content:"\e062"}.glyphicon-adjust:before{content:"\e063"}.glyphicon-tint:before{content:"\e064"}.glyphicon-edit:before{content:"\e065"}.glyphicon-share:before{content:"\e066"}.glyphicon-check:before{content:"\e067"}.glyphicon-move:before{content:"\e068"}.glyphicon-step-backward:before{content:"\e069"}.glyphicon-fast-backward:before{content:"\e070"}.glyphicon-backward:before{content:"\e071"}.glyphicon-play:before{content:"\e072"}.glyphicon-pause:before{content:"\e073"}.glyphicon-stop:before{content:"\e074"}.glyphicon-forward:before{content:"\e075"}.glyphicon-fast-forward:before{content:"\e076"}.glyphicon-step-forward:before{content:"\e077"}.glyphicon-eject:before{content:"\e078"}.glyphicon-chevron-left:before{content:"\e079"}.glyphicon-chevron-right:before{content:"\e080"}.glyphicon-plus-sign:before{content:"\e081"}.glyphicon-minus-sign:before{content:"\e082"}.glyphicon-remove-sign:before{content:"\e083"}.glyphicon-ok-sign:before{content:"\e084"}.glyphicon-question-sign:before{content:"\e085"}.glyphicon-info-sign:before{content:"\e086"}.glyphicon-screenshot:before{content:"\e087"}.glyphicon-remove-circle:before{content:"\e088"}.glyphicon-ok-circle:before{content:"\e089"}.glyphicon-ban-circle:before{content:"\e090"}.glyphicon-arrow-left:before{content:"\e091"}.glyphicon-arrow-right:before{content:"\e092"}.glyphicon-arrow-up:before{content:"\e093"}.glyphicon-arrow-down:before{content:"\e094"}.glyphicon-share-alt:before{content:"\e095"}.glyphicon-resize-full:before{content:"\e096"}.glyphicon-resize-small:before{content:"\e097"}.glyphicon-exclamation-sign:before{content:"\e101"}.glyphicon-gift:before{content:"\e102"}.glyphicon-leaf:before{content:"\e103"}.glyphicon-fire:before{content:"\e104"}.glyphicon-eye-open:before{content:"\e105"}.glyphicon-eye-close:before{content:"\e106"}.glyphicon-warning-sign:before{content:"\e107"}.glyphicon-plane:before{content:"\e108"}.glyphicon-calendar:before{content:"\e109"}.glyphicon-random:before{content:"\e110"}.glyphicon-comment:before{content:"\e111"}.glyphicon-magnet:before{content:"\e112"}.glyphicon-chevron-up:before{content:"\e113"}.glyphicon-chevron-down:before{content:"\e114"}.glyphicon-retweet:before{content:"\e115"}.glyphicon-shopping-cart:before{content:"\e116"}.glyphicon-folder-close:before{content:"\e117"}.glyphicon-folder-open:before{content:"\e118"}.glyphicon-resize-vertical:before{content:"\e119"}.glyphicon-resize-horizontal:before{content:"\e120"}.glyphicon-hdd:before{content:"\e121"}.glyphicon-bullhorn:before{content:"\e122"}.glyphicon-bell:before{content:"\e123"}.glyphicon-certificate:before{content:"\e124"}.glyphicon-thumbs-up:before{content:"\e125"}.glyphicon-thumbs-down:before{content:"\e126"}.glyphicon-hand-right:before{content:"\e127"}.glyphicon-hand-left:before{content:"\e128"}.glyphicon-hand-up:before{content:"\e129"}.glyphicon-hand-down:before{content:"\e130"}.glyphicon-circle-arrow-right:before{content:"\e131"}.glyphicon-circle-arrow-left:before{content:"\e132"}.glyphicon-circle-arrow-up:before{content:"\e133"}.glyphicon-circle-arrow-down:before{content:"\e134"}.glyphicon-globe:before{content:"\e135"}.glyphicon-wrench:before{content:"\e136"}.glyphicon-tasks:before{content:"\e137"}.glyphicon-filter:before{content:"\e138"}.glyphicon-briefcase:before{content:"\e139"}.glyphicon-fullscreen:before{content:"\e140"}.glyphicon-dashboard:before{content:"\e141"}.glyphicon-paperclip:before{content:"\e142"}.glyphicon-heart-empty:before{content:"\e143"}.glyphicon-link:before{content:"\e144"}.glyphicon-phone:before{content:"\e145"}.glyphicon-pushpin:before{content:"\e146"}.glyphicon-usd:before{content:"\e148"}.glyphicon-gbp:before{content:"\e149"}.glyphicon-sort:before{content:"\e150"}.glyphicon-sort-by-alphabet:before{content:"\e151"}.glyphicon-sort-by-alphabet-alt:before{content:"\e152"}.glyphicon-sort-by-order:before{content:"\e153"}.glyphicon-sort-by-order-alt:before{content:"\e154"}.glyphicon-sort-by-attributes:before{content:"\e155"}.glyphicon-sort-by-attributes-alt:before{content:"\e156"}.glyphicon-unchecked:before{content:"\e157"}.glyphicon-expand:before{content:"\e158"}.glyphicon-collapse-down:before{content:"\e159"}.glyphicon-collapse-up:before{content:"\e160"}.glyphicon-log-in:before{content:"\e161"}.glyphicon-flash:before{content:"\e162"}.glyphicon-log-out:before{content:"\e163"}.glyphicon-new-window:before{content:"\e164"}.glyphicon-record:before{content:"\e165"}.glyphicon-save:before{content:"\e166"}.glyphicon-open:before{content:"\e167"}.glyphicon-saved:before{content:"\e168"}.glyphicon-import:before{content:"\e169"}.glyphicon-export:before{content:"\e170"}.glyphicon-send:before{content:"\e171"}.glyphicon-floppy-disk:before{content:"\e172"}.glyphicon-floppy-saved:before{content:"\e173"}.glyphicon-floppy-remove:before{content:"\e174"}.glyphicon-floppy-save:before{content:"\e175"}.glyphicon-floppy-open:before{content:"\e176"}.glyphicon-credit-card:before{content:"\e177"}.glyphicon-transfer:before{content:"\e178"}.glyphicon-cutlery:before{content:"\e179"}.glyphicon-header:before{content:"\e180"}.glyphicon-compressed:before{content:"\e181"}.glyphicon-earphone:before{content:"\e182"}.glyphicon-phone-alt:before{content:"\e183"}.glyphicon-tower:before{content:"\e184"}.glyphicon-stats:before{content:"\e185"}.glyphicon-sd-video:before{content:"\e186"}.glyphicon-hd-video:before{content:"\e187"}.glyphicon-subtitles:before{content:"\e188"}.glyphicon-sound-stereo:before{content:"\e189"}.glyphicon-sound-dolby:before{content:"\e190"}.glyphicon-sound-5-1:before{content:"\e191"}.glyphicon-sound-6-1:before{content:"\e192"}.glyphicon-sound-7-1:before{content:"\e193"}.glyphicon-copyright-mark:before{content:"\e194"}.glyphicon-registration-mark:before{content:"\e195"}.glyphicon-cloud-download:before{content:"\e197"}.glyphicon-cloud-upload:before{content:"\e198"}.glyphicon-tree-conifer:before{content:"\e199"}.glyphicon-tree-deciduous:before{content:"\e200"}.glyphicon-cd:before{content:"\e201"}.glyphicon-save-file:before{content:"\e202"}.glyphicon-open-file:before{content:"\e203"}.glyphicon-level-up:before{content:"\e204"}.glyphicon-copy:before{content:"\e205"}.glyphicon-paste:before{content:"\e206"}.glyphicon-alert:before{content:"\e209"}.glyphicon-equalizer:before{content:"\e210"}.glyphicon-king:before{content:"\e211"}.glyphicon-queen:before{content:"\e212"}.glyphicon-pawn:before{content:"\e213"}.glyphicon-bishop:before{content:"\e214"}.glyphicon-knight:before{content:"\e215"}.glyphicon-baby-formula:before{content:"\e216"}.glyphicon-tent:before{content:"\26fa"}.glyphicon-blackboard:before{content:"\e218"}.glyphicon-bed:before{content:"\e219"}.glyphicon-apple:before{content:"\f8ff"}.glyphicon-erase:before{content:"\e221"}.glyphicon-hourglass:before{content:"\231b"}.glyphicon-lamp:before{content:"\e223"}.glyphicon-duplicate:before{content:"\e224"}.glyphicon-piggy-bank:before{content:"\e225"}.glyphicon-scissors:before{content:"\e226"}.glyphicon-bitcoin:before{content:"\e227"}.glyphicon-btc:before{content:"\e227"}.glyphicon-xbt:before{content:"\e227"}.glyphicon-yen:before{content:"\00a5"}.glyphicon-jpy:before{content:"\00a5"}.glyphicon-ruble:before{content:"\20bd"}.glyphicon-rub:before{content:"\20bd"}.glyphicon-scale:before{content:"\e230"}.glyphicon-ice-lolly:before{content:"\e231"}.glyphicon-ice-lolly-tasted:before{content:"\e232"}.glyphicon-education:before{content:"\e233"}.glyphicon-option-horizontal:before{content:"\e234"}.glyphicon-option-vertical:before{content:"\e235"}.glyphicon-menu-hamburger:before{content:"\e236"}.glyphicon-modal-window:before{content:"\e237"}.glyphicon-oil:before{content:"\e238"}.glyphicon-grain:before{content:"\e239"}.glyphicon-sunglasses:before{content:"\e240"}.glyphicon-text-size:before{content:"\e241"}.glyphicon-text-color:before{content:"\e242"}.glyphicon-text-background:before{content:"\e243"}.glyphicon-object-align-top:before{content:"\e244"}.glyphicon-object-align-bottom:before{content:"\e245"}.glyphicon-object-align-horizontal:before{content:"\e246"}.glyphicon-object-align-left:before{content:"\e247"}.glyphicon-object-align-vertical:before{content:"\e248"}.glyphicon-object-align-right:before{content:"\e249"}.glyphicon-triangle-right:before{content:"\e250"}.glyphicon-triangle-left:before{content:"\e251"}.glyphicon-triangle-bottom:before{content:"\e252"}.glyphicon-triangle-top:before{content:"\e253"}.glyphicon-console:before{content:"\e254"}.glyphicon-superscript:before{content:"\e255"}.glyphicon-subscript:before{content:"\e256"}.glyphicon-menu-left:before{content:"\e257"}.glyphicon-menu-right:before{content:"\e258"}.glyphicon-menu-down:before{content:"\e259"}.glyphicon-menu-up:before{content:"\e260"}*{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}:after,:before{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}html{font-size:10px;-webkit-tap-highlight-color:rgba(0,0,0,0)}body{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:1.42857143;color:#333;background-color:#fff}button,input,select,textarea{font-family:inherit;font-size:inherit;line-height:inherit}a{color:#337ab7;text-decoration:none}a:focus,a:hover{color:#23527c;text-decoration:underline}a:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}figure{margin:0}img{vertical-align:middle}.carousel-inner>.item>a>img,.carousel-inner>.item>img,.img-responsive,.thumbnail a>img,.thumbnail>img{display:block;max-width:100%;height:auto}.img-rounded{border-radius:6px}.img-thumbnail{display:inline-block;max-width:100%;height:auto;padding:4px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out}.img-circle{border-radius:50%}hr{margin-top:20px;margin-bottom:20px;border:0;border-top:1px solid #eee}.sr-only{position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto}[role=button]{cursor:pointer}.h1,.h2,.h3,.h4,.h5,.h6,h1,h2,h3,h4,h5,h6{font-family:inherit;font-weight:500;line-height:1.1;color:inherit}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-weight:400;line-height:1;color:#777}.h1,.h2,.h3,h1,h2,h3{margin-top:20px;margin-bottom:10px}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small{font-size:65%}.h4,.h5,.h6,h4,h5,h6{margin-top:10px;margin-bottom:10px}.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-size:75%}.h1,h1{font-size:36px}.h2,h2{font-size:30px}.h3,h3{font-size:24px}.h4,h4{font-size:18px}.h5,h5{font-size:14px}.h6,h6{font-size:12px}p{margin:0 0 10px}.lead{margin-bottom:20px;font-size:16px;font-weight:300;line-height:1.4}@media (min-width:768px){.lead{font-size:21px}}.small,small{font-size:85%}.mark,mark{padding:.2em;background-color:#fcf8e3}.text-left{text-align:left}.text-right{text-align:right}.text-center{text-align:center}.text-justify{text-align:justify}.text-nowrap{white-space:nowrap}.text-lowercase{text-transform:lowercase}.text-uppercase{text-transform:uppercase}.text-capitalize{text-transform:capitalize}.text-muted{color:#777}.text-primary{color:#337ab7}a.text-primary:focus,a.text-primary:hover{color:#286090}.text-success{color:#3c763d}a.text-success:focus,a.text-success:hover{color:#2b542c}.text-info{color:#31708f}a.text-info:focus,a.text-info:hover{color:#245269}.text-warning{color:#8a6d3b}a.text-warning:focus,a.text-warning:hover{color:#66512c}.text-danger{color:#a94442}a.text-danger:focus,a.text-danger:hover{color:#843534}.bg-primary{color:#fff;background-color:#337ab7}a.bg-primary:focus,a.bg-primary:hover{background-color:#286090}.bg-success{background-color:#dff0d8}a.bg-success:focus,a.bg-success:hover{background-color:#c1e2b3}.bg-info{background-color:#d9edf7}a.bg-info:focus,a.bg-info:hover{background-color:#afd9ee}.bg-warning{background-color:#fcf8e3}a.bg-warning:focus,a.bg-warning:hover{background-color:#f7ecb5}.bg-danger{background-color:#f2dede}a.bg-danger:focus,a.bg-danger:hover{background-color:#e4b9b9}.page-header{padding-bottom:9px;margin:40px 0 20px;border-bottom:1px solid #eee}ol,ul{margin-top:0;margin-bottom:10px}ol ol,ol ul,ul ol,ul ul{margin-bottom:0}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;margin-left:-5px;list-style:none}.list-inline>li{display:inline-block;padding-right:5px;padding-left:5px}dl{margin-top:0;margin-bottom:20px}dd,dt{line-height:1.42857143}dt{font-weight:700}dd{margin-left:0}@media (min-width:768px){.dl-horizontal dt{float:left;width:160px;overflow:hidden;clear:left;text-align:right;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:180px}}abbr[data-original-title],abbr[title]{cursor:help;border-bottom:1px dotted #777}.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:10px 20px;margin:0 0 20px;font-size:17.5px;border-left:5px solid #eee}blockquote ol:last-child,blockquote p:last-child,blockquote ul:last-child{margin-bottom:0}blockquote .small,blockquote footer,blockquote small{display:block;font-size:80%;line-height:1.42857143;color:#777}blockquote .small:before,blockquote footer:before,blockquote small:before{content:'\2014 \00A0'}.blockquote-reverse,blockquote.pull-right{padding-right:15px;padding-left:0;text-align:right;border-right:5px solid #eee;border-left:0}.blockquote-reverse .small:before,.blockquote-reverse footer:before,.blockquote-reverse small:before,blockquote.pull-right .small:before,blockquote.pull-right footer:before,blockquote.pull-right small:before{content:''}.blockquote-reverse .small:after,.blockquote-reverse footer:after,.blockquote-reverse small:after,blockquote.pull-right .small:after,blockquote.pull-right footer:after,blockquote.pull-right small:after{content:'\00A0 \2014'}address{margin-bottom:20px;font-style:normal;line-height:1.42857143}code,kbd,pre,samp{font-family:monospace}code{padding:2px 4px;font-size:90%;color:#c7254e;background-color:#f9f2f4;border-radius:4px}kbd{padding:2px 4px;font-size:90%;color:#fff;background-color:#333;border-radius:3px;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.25);box-shadow:inset 0 -1px 0 rgba(0,0,0,.25)}kbd kbd{padding:0;font-size:100%;font-weight:700;-webkit-box-shadow:none;box-shadow:none}pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:1.42857143;color:#333;word-break:break-all;word-wrap:break-word;background-color:#f5f5f5;border:1px solid #ccc;border-radius:4px}pre code{padding:0;font-size:inherit;color:inherit;white-space:pre-wrap;background-color:transparent;border-radius:0}.pre-scrollable{max-height:340px;overflow-y:scroll}.container{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}@media (min-width:768px){.container{width:750px}}@media (min-width:992px){.container{width:970px}}@media (min-width:1200px){.container{width:1170px}}.container-fluid{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}.row{margin-right:-15px;margin-left:-15px}.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9,.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9,.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9,.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{position:relative;min-height:1px;padding-right:15px;padding-left:15px}.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{float:left}.col-xs-12{width:100%}.col-xs-11{width:91.66666667%}.col-xs-10{width:83.33333333%}.col-xs-9{width:75%}.col-xs-8{width:66.66666667%}.col-xs-7{width:58.33333333%}.col-xs-6{width:50%}.col-xs-5{width:41.66666667%}.col-xs-4{width:33.33333333%}.col-xs-3{width:25%}.col-xs-2{width:16.66666667%}.col-xs-1{width:8.33333333%}.col-xs-pull-12{right:100%}.col-xs-pull-11{right:91.66666667%}.col-xs-pull-10{right:83.33333333%}.col-xs-pull-9{right:75%}.col-xs-pull-8{right:66.66666667%}.col-xs-pull-7{right:58.33333333%}.col-xs-pull-6{right:50%}.col-xs-pull-5{right:41.66666667%}.col-xs-pull-4{right:33.33333333%}.col-xs-pull-3{right:25%}.col-xs-pull-2{right:16.66666667%}.col-xs-pull-1{right:8.33333333%}.col-xs-pull-0{right:auto}.col-xs-push-12{left:100%}.col-xs-push-11{left:91.66666667%}.col-xs-push-10{left:83.33333333%}.col-xs-push-9{left:75%}.col-xs-push-8{left:66.66666667%}.col-xs-push-7{left:58.33333333%}.col-xs-push-6{left:50%}.col-xs-push-5{left:41.66666667%}.col-xs-push-4{left:33.33333333%}.col-xs-push-3{left:25%}.col-xs-push-2{left:16.66666667%}.col-xs-push-1{left:8.33333333%}.col-xs-push-0{left:auto}.col-xs-offset-12{margin-left:100%}.col-xs-offset-11{margin-left:91.66666667%}.col-xs-offset-10{margin-left:83.33333333%}.col-xs-offset-9{margin-left:75%}.col-xs-offset-8{margin-left:66.66666667%}.col-xs-offset-7{margin-left:58.33333333%}.col-xs-offset-6{margin-left:50%}.col-xs-offset-5{margin-left:41.66666667%}.col-xs-offset-4{margin-left:33.33333333%}.col-xs-offset-3{margin-left:25%}.col-xs-offset-2{margin-left:16.66666667%}.col-xs-offset-1{margin-left:8.33333333%}.col-xs-offset-0{margin-left:0}@media (min-width:768px){.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9{float:left}.col-sm-12{width:100%}.col-sm-11{width:91.66666667%}.col-sm-10{width:83.33333333%}.col-sm-9{width:75%}.col-sm-8{width:66.66666667%}.col-sm-7{width:58.33333333%}.col-sm-6{width:50%}.col-sm-5{width:41.66666667%}.col-sm-4{width:33.33333333%}.col-sm-3{width:25%}.col-sm-2{width:16.66666667%}.col-sm-1{width:8.33333333%}.col-sm-pull-12{right:100%}.col-sm-pull-11{right:91.66666667%}.col-sm-pull-10{right:83.33333333%}.col-sm-pull-9{right:75%}.col-sm-pull-8{right:66.66666667%}.col-sm-pull-7{right:58.33333333%}.col-sm-pull-6{right:50%}.col-sm-pull-5{right:41.66666667%}.col-sm-pull-4{right:33.33333333%}.col-sm-pull-3{right:25%}.col-sm-pull-2{right:16.66666667%}.col-sm-pull-1{right:8.33333333%}.col-sm-pull-0{right:auto}.col-sm-push-12{left:100%}.col-sm-push-11{left:91.66666667%}.col-sm-push-10{left:83.33333333%}.col-sm-push-9{left:75%}.col-sm-push-8{left:66.66666667%}.col-sm-push-7{left:58.33333333%}.col-sm-push-6{left:50%}.col-sm-push-5{left:41.66666667%}.col-sm-push-4{left:33.33333333%}.col-sm-push-3{left:25%}.col-sm-push-2{left:16.66666667%}.col-sm-push-1{left:8.33333333%}.col-sm-push-0{left:auto}.col-sm-offset-12{margin-left:100%}.col-sm-offset-11{margin-left:91.66666667%}.col-sm-offset-10{margin-left:83.33333333%}.col-sm-offset-9{margin-left:75%}.col-sm-offset-8{margin-left:66.66666667%}.col-sm-offset-7{margin-left:58.33333333%}.col-sm-offset-6{margin-left:50%}.col-sm-offset-5{margin-left:41.66666667%}.col-sm-offset-4{margin-left:33.33333333%}.col-sm-offset-3{margin-left:25%}.col-sm-offset-2{margin-left:16.66666667%}.col-sm-offset-1{margin-left:8.33333333%}.col-sm-offset-0{margin-left:0}}@media (min-width:992px){.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9{float:left}.col-md-12{width:100%}.col-md-11{width:91.66666667%}.col-md-10{width:83.33333333%}.col-md-9{width:75%}.col-md-8{width:66.66666667%}.col-md-7{width:58.33333333%}.col-md-6{width:50%}.col-md-5{width:41.66666667%}.col-md-4{width:33.33333333%}.col-md-3{width:25%}.col-md-2{width:16.66666667%}.col-md-1{width:8.33333333%}.col-md-pull-12{right:100%}.col-md-pull-11{right:91.66666667%}.col-md-pull-10{right:83.33333333%}.col-md-pull-9{right:75%}.col-md-pull-8{right:66.66666667%}.col-md-pull-7{right:58.33333333%}.col-md-pull-6{right:50%}.col-md-pull-5{right:41.66666667%}.col-md-pull-4{right:33.33333333%}.col-md-pull-3{right:25%}.col-md-pull-2{right:16.66666667%}.col-md-pull-1{right:8.33333333%}.col-md-pull-0{right:auto}.col-md-push-12{left:100%}.col-md-push-11{left:91.66666667%}.col-md-push-10{left:83.33333333%}.col-md-push-9{left:75%}.col-md-push-8{left:66.66666667%}.col-md-push-7{left:58.33333333%}.col-md-push-6{left:50%}.col-md-push-5{left:41.66666667%}.col-md-push-4{left:33.33333333%}.col-md-push-3{left:25%}.col-md-push-2{left:16.66666667%}.col-md-push-1{left:8.33333333%}.col-md-push-0{left:auto}.col-md-offset-12{margin-left:100%}.col-md-offset-11{margin-left:91.66666667%}.col-md-offset-10{margin-left:83.33333333%}.col-md-offset-9{margin-left:75%}.col-md-offset-8{margin-left:66.66666667%}.col-md-offset-7{margin-left:58.33333333%}.col-md-offset-6{margin-left:50%}.col-md-offset-5{margin-left:41.66666667%}.col-md-offset-4{margin-left:33.33333333%}.col-md-offset-3{margin-left:25%}.col-md-offset-2{margin-left:16.66666667%}.col-md-offset-1{margin-left:8.33333333%}.col-md-offset-0{margin-left:0}}@media (min-width:1200px){.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9{float:left}.col-lg-12{width:100%}.col-lg-11{width:91.66666667%}.col-lg-10{width:83.33333333%}.col-lg-9{width:75%}.col-lg-8{width:66.66666667%}.col-lg-7{width:58.33333333%}.col-lg-6{width:50%}.col-lg-5{width:41.66666667%}.col-lg-4{width:33.33333333%}.col-lg-3{width:25%}.col-lg-2{width:16.66666667%}.col-lg-1{width:8.33333333%}.col-lg-pull-12{right:100%}.col-lg-pull-11{right:91.66666667%}.col-lg-pull-10{right:83.33333333%}.col-lg-pull-9{right:75%}.col-lg-pull-8{right:66.66666667%}.col-lg-pull-7{right:58.33333333%}.col-lg-pull-6{right:50%}.col-lg-pull-5{right:41.66666667%}.col-lg-pull-4{right:33.33333333%}.col-lg-pull-3{right:25%}.col-lg-pull-2{right:16.66666667%}.col-lg-pull-1{right:8.33333333%}.col-lg-pull-0{right:auto}.col-lg-push-12{left:100%}.col-lg-push-11{left:91.66666667%}.col-lg-push-10{left:83.33333333%}.col-lg-push-9{left:75%}.col-lg-push-8{left:66.66666667%}.col-lg-push-7{left:58.33333333%}.col-lg-push-6{left:50%}.col-lg-push-5{left:41.66666667%}.col-lg-push-4{left:33.33333333%}.col-lg-push-3{left:25%}.col-lg-push-2{left:16.66666667%}.col-lg-push-1{left:8.33333333%}.col-lg-push-0{left:auto}.col-lg-offset-12{margin-left:100%}.col-lg-offset-11{margin-left:91.66666667%}.col-lg-offset-10{margin-left:83.33333333%}.col-lg-offset-9{margin-left:75%}.col-lg-offset-8{margin-left:66.66666667%}.col-lg-offset-7{margin-left:58.33333333%}.col-lg-offset-6{margin-left:50%}.col-lg-offset-5{margin-left:41.66666667%}.col-lg-offset-4{margin-left:33.33333333%}.col-lg-offset-3{margin-left:25%}.col-lg-offset-2{margin-left:16.66666667%}.col-lg-offset-1{margin-left:8.33333333%}.col-lg-offset-0{margin-left:0}}table{background-color:transparent}caption{padding-top:8px;padding-bottom:8px;color:#777;text-align:left}th{}.table{width:100%;max-width:100%;margin-bottom:20px}.table>tbody>tr>td,.table>tbody>tr>th,.table>tfoot>tr>td,.table>tfoot>tr>th,.table>thead>tr>td,.table>thead>tr>th{padding:8px;line-height:1.42857143;vertical-align:top;border-top:1px solid #ddd}.table>thead>tr>th{vertical-align:bottom;border-bottom:2px solid #ddd}.table>caption+thead>tr:first-child>td,.table>caption+thead>tr:first-child>th,.table>colgroup+thead>tr:first-child>td,.table>colgroup+thead>tr:first-child>th,.table>thead:first-child>tr:first-child>td,.table>thead:first-child>tr:first-child>th{border-top:0}.table>tbody+tbody{border-top:2px solid #ddd}.table .table{background-color:#fff}.table-condensed>tbody>tr>td,.table-condensed>tbody>tr>th,.table-condensed>tfoot>tr>td,.table-condensed>tfoot>tr>th,.table-condensed>thead>tr>td,.table-condensed>thead>tr>th{padding:5px}.table-bordered{border:1px solid #ddd}.table-bordered>tbody>tr>td,.table-bordered>tbody>tr>th,.table-bordered>tfoot>tr>td,.table-bordered>tfoot>tr>th,.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border:1px solid #ddd}.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border-bottom-width:2px}.table-striped>tbody>tr:nth-of-type(odd){background-color:#f9f9f9}.table-hover>tbody>tr:hover{background-color:#f5f5f5}table col[class*=col-]{position:static;display:table-column;float:none}table td[class*=col-],table th[class*=col-]{position:static;display:table-cell;float:none}.table>tbody>tr.active>td,.table>tbody>tr.active>th,.table>tbody>tr>td.active,.table>tbody>tr>th.active,.table>tfoot>tr.active>td,.table>tfoot>tr.active>th,.table>tfoot>tr>td.active,.table>tfoot>tr>th.active,.table>thead>tr.active>td,.table>thead>tr.active>th,.table>thead>tr>td.active,.table>thead>tr>th.active{background-color:#f5f5f5}.table-hover>tbody>tr.active:hover>td,.table-hover>tbody>tr.active:hover>th,.table-hover>tbody>tr:hover>.active,.table-hover>tbody>tr>td.active:hover,.table-hover>tbody>tr>th.active:hover{background-color:#e8e8e8}.table>tbody>tr.success>td,.table>tbody>tr.success>th,.table>tbody>tr>td.success,.table>tbody>tr>th.success,.table>tfoot>tr.success>td,.table>tfoot>tr.success>th,.table>tfoot>tr>td.success,.table>tfoot>tr>th.success,.table>thead>tr.success>td,.table>thead>tr.success>th,.table>thead>tr>td.success,.table>thead>tr>th.success{background-color:#dff0d8}.table-hover>tbody>tr.success:hover>td,.table-hover>tbody>tr.success:hover>th,.table-hover>tbody>tr:hover>.success,.table-hover>tbody>tr>td.success:hover,.table-hover>tbody>tr>th.success:hover{background-color:#d0e9c6}.table>tbody>tr.info>td,.table>tbody>tr.info>th,.table>tbody>tr>td.info,.table>tbody>tr>th.info,.table>tfoot>tr.info>td,.table>tfoot>tr.info>th,.table>tfoot>tr>td.info,.table>tfoot>tr>th.info,.table>thead>tr.info>td,.table>thead>tr.info>th,.table>thead>tr>td.info,.table>thead>tr>th.info{background-color:#d9edf7}.table-hover>tbody>tr.info:hover>td,.table-hover>tbody>tr.info:hover>th,.table-hover>tbody>tr:hover>.info,.table-hover>tbody>tr>td.info:hover,.table-hover>tbody>tr>th.info:hover{background-color:#c4e3f3}.table>tbody>tr.warning>td,.table>tbody>tr.warning>th,.table>tbody>tr>td.warning,.table>tbody>tr>th.warning,.table>tfoot>tr.warning>td,.table>tfoot>tr.warning>th,.table>tfoot>tr>td.warning,.table>tfoot>tr>th.warning,.table>thead>tr.warning>td,.table>thead>tr.warning>th,.table>thead>tr>td.warning,.table>thead>tr>th.warning{background-color:#fcf8e3}.table-hover>tbody>tr.warning:hover>td,.table-hover>tbody>tr.warning:hover>th,.table-hover>tbody>tr:hover>.warning,.table-hover>tbody>tr>td.warning:hover,.table-hover>tbody>tr>th.warning:hover{background-color:#faf2cc}.table>tbody>tr.danger>td,.table>tbody>tr.danger>th,.table>tbody>tr>td.danger,.table>tbody>tr>th.danger,.table>tfoot>tr.danger>td,.table>tfoot>tr.danger>th,.table>tfoot>tr>td.danger,.table>tfoot>tr>th.danger,.table>thead>tr.danger>td,.table>thead>tr.danger>th,.table>thead>tr>td.danger,.table>thead>tr>th.danger{background-color:#f2dede}.table-hover>tbody>tr.danger:hover>td,.table-hover>tbody>tr.danger:hover>th,.table-hover>tbody>tr:hover>.danger,.table-hover>tbody>tr>td.danger:hover,.table-hover>tbody>tr>th.danger:hover{background-color:#ebcccc}.table-responsive{min-height:.01%;overflow-x:auto}@media screen and (max-width:767px){.table-responsive{width:100%;margin-bottom:15px;overflow-y:hidden;-ms-overflow-style:-ms-autohiding-scrollbar;border:1px solid #ddd}.table-responsive>.table{margin-bottom:0}.table-responsive>.table>tbody>tr>td,.table-responsive>.table>tbody>tr>th,.table-responsive>.table>tfoot>tr>td,.table-responsive>.table>tfoot>tr>th,.table-responsive>.table>thead>tr>td,.table-responsive>.table>thead>tr>th{white-space:nowrap}.table-responsive>.table-bordered{border:0}.table-responsive>.table-bordered>tbody>tr>td:first-child,.table-responsive>.table-bordered>tbody>tr>th:first-child,.table-responsive>.table-bordered>tfoot>tr>td:first-child,.table-responsive>.table-bordered>tfoot>tr>th:first-child,.table-responsive>.table-bordered>thead>tr>td:first-child,.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.table-responsive>.table-bordered>tbody>tr>td:last-child,.table-responsive>.table-bordered>tbody>tr>th:last-child,.table-responsive>.table-bordered>tfoot>tr>td:last-child,.table-responsive>.table-bordered>tfoot>tr>th:last-child,.table-responsive>.table-bordered>thead>tr>td:last-child,.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.table-responsive>.table-bordered>tbody>tr:last-child>td,.table-responsive>.table-bordered>tbody>tr:last-child>th,.table-responsive>.table-bordered>tfoot>tr:last-child>td,.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}}fieldset{min-width:0;padding:0;margin:0;border:0}legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:inherit;color:#333;border:0;border-bottom:1px solid #e5e5e5}label{display:inline-block;max-width:100%;margin-bottom:5px;font-weight:700}input[type=search]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}input[type=checkbox],input[type=radio]{margin:4px 0 0;margin-top:1px\9;line-height:normal}input[type=file]{display:block}input[type=range]{display:block;width:100%}select[multiple],select[size]{height:auto}input[type=file]:focus,input[type=checkbox]:focus,input[type=radio]:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}output{display:block;padding-top:7px;font-size:14px;line-height:1.42857143;color:#555}.form-control{display:block;width:100%;height:34px;padding:6px 12px;font-size:14px;line-height:1.42857143;color:#555;background-color:#fff;background-image:none;border:1px solid #ccc;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075);-webkit-transition:border-color ease-in-out .15s,-webkit-box-shadow ease-in-out .15s;-o-transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s;transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s}.form-control:focus{border-color:#66afe9;outline:0;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6);box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6)}.form-control::-moz-placeholder{color:#999;opacity:1}.form-control:-ms-input-placeholder{color:#999}.form-control::-webkit-input-placeholder{color:#999}.form-control[disabled],.form-control[readonly],fieldset[disabled] .form-control{background-color:#eee;opacity:1}.form-control[disabled],fieldset[disabled] .form-control{cursor:not-allowed}textarea.form-control{height:auto}input[type=search]{-webkit-appearance:none}@media screen and (-webkit-min-device-pixel-ratio:0){input[type=date].form-control,input[type=time].form-control,input[type=datetime-local].form-control,input[type=month].form-control{line-height:34px}.input-group-sm input[type=date],.input-group-sm input[type=time],.input-group-sm input[type=datetime-local],.input-group-sm input[type=month],input[type=date].input-sm,input[type=time].input-sm,input[type=datetime-local].input-sm,input[type=month].input-sm{line-height:30px}.input-group-lg input[type=date],.input-group-lg input[type=time],.input-group-lg input[type=datetime-local],.input-group-lg input[type=month],input[type=date].input-lg,input[type=time].input-lg,input[type=datetime-local].input-lg,input[type=month].input-lg{line-height:46px}}.form-group{margin-bottom:15px}.checkbox,.radio{position:relative;display:block;margin-top:10px;margin-bottom:10px}.checkbox label,.radio label{min-height:20px;padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.checkbox input[type=checkbox],.checkbox-inline input[type=checkbox],.radio input[type=radio],.radio-inline input[type=radio]{position:absolute;margin-top:4px\9;margin-left:-20px}.checkbox+.checkbox,.radio+.radio{margin-top:-5px}.checkbox-inline,.radio-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.checkbox-inline+.checkbox-inline,.radio-inline+.radio-inline{margin-top:0;margin-left:10px}fieldset[disabled] input[type=checkbox],fieldset[disabled] input[type=radio],input[type=checkbox].disabled,input[type=checkbox][disabled],input[type=radio].disabled,input[type=radio][disabled]{cursor:not-allowed}.checkbox-inline.disabled,.radio-inline.disabled,fieldset[disabled] .checkbox-inline,fieldset[disabled] .radio-inline{cursor:not-allowed}.checkbox.disabled label,.radio.disabled label,fieldset[disabled] .checkbox label,fieldset[disabled] .radio label{cursor:not-allowed}.form-control-static{min-height:34px;padding-top:7px;padding-bottom:7px;margin-bottom:0}.form-control-static.input-lg,.form-control-static.input-sm{padding-right:0;padding-left:0}.input-sm{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-sm{height:30px;line-height:30px}select[multiple].input-sm,textarea.input-sm{height:auto}.form-group-sm .form-control{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.form-group-sm select.form-control{height:30px;line-height:30px}.form-group-sm select[multiple].form-control,.form-group-sm textarea.form-control{height:auto}.form-group-sm .form-control-static{height:30px;min-height:32px;padding:6px 10px;font-size:12px;line-height:1.5}.input-lg{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-lg{height:46px;line-height:46px}select[multiple].input-lg,textarea.input-lg{height:auto}.form-group-lg .form-control{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.form-group-lg select.form-control{height:46px;line-height:46px}.form-group-lg select[multiple].form-control,.form-group-lg textarea.form-control{height:auto}.form-group-lg .form-control-static{height:46px;min-height:38px;padding:11px 16px;font-size:18px;line-height:1.3333333}.has-feedback{position:relative}.has-feedback .form-control{padding-right:42.5px}.form-control-feedback{position:absolute;top:0;right:0;z-index:2;display:block;width:34px;height:34px;line-height:34px;text-align:center;pointer-events:none}.form-group-lg .form-control+.form-control-feedback,.input-group-lg+.form-control-feedback,.input-lg+.form-control-feedback{width:46px;height:46px;line-height:46px}.form-group-sm .form-control+.form-control-feedback,.input-group-sm+.form-control-feedback,.input-sm+.form-control-feedback{width:30px;height:30px;line-height:30px}.has-success .checkbox,.has-success .checkbox-inline,.has-success .control-label,.has-success .help-block,.has-success .radio,.has-success .radio-inline,.has-success.checkbox label,.has-success.checkbox-inline label,.has-success.radio label,.has-success.radio-inline label{color:#3c763d}.has-success .form-control{border-color:#3c763d;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-success .form-control:focus{border-color:#2b542c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168}.has-success .input-group-addon{color:#3c763d;background-color:#dff0d8;border-color:#3c763d}.has-success .form-control-feedback{color:#3c763d}.has-warning .checkbox,.has-warning .checkbox-inline,.has-warning .control-label,.has-warning .help-block,.has-warning .radio,.has-warning .radio-inline,.has-warning.checkbox label,.has-warning.checkbox-inline label,.has-warning.radio label,.has-warning.radio-inline label{color:#8a6d3b}.has-warning .form-control{border-color:#8a6d3b;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-warning .form-control:focus{border-color:#66512c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b}.has-warning .input-group-addon{color:#8a6d3b;background-color:#fcf8e3;border-color:#8a6d3b}.has-warning .form-control-feedback{color:#8a6d3b}.has-error .checkbox,.has-error .checkbox-inline,.has-error .control-label,.has-error .help-block,.has-error .radio,.has-error .radio-inline,.has-error.checkbox label,.has-error.checkbox-inline label,.has-error.radio label,.has-error.radio-inline label{color:#a94442}.has-error .form-control{border-color:#a94442;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-error .form-control:focus{border-color:#843534;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483}.has-error .input-group-addon{color:#a94442;background-color:#f2dede;border-color:#a94442}.has-error .form-control-feedback{color:#a94442}.has-feedback label~.form-control-feedback{top:25px}.has-feedback label.sr-only~.form-control-feedback{top:0}.help-block{display:block;margin-top:5px;margin-bottom:10px;color:#737373}@media (min-width:768px){.form-inline .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.form-inline .form-control{display:inline-block;width:auto;vertical-align:middle}.form-inline .form-control-static{display:inline-block}.form-inline .input-group{display:inline-table;vertical-align:middle}.form-inline .input-group .form-control,.form-inline .input-group .input-group-addon,.form-inline .input-group .input-group-btn{width:auto}.form-inline .input-group>.form-control{width:100%}.form-inline .control-label{margin-bottom:0;vertical-align:middle}.form-inline .checkbox,.form-inline .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.form-inline .checkbox label,.form-inline .radio label{padding-left:0}.form-inline .checkbox input[type=checkbox],.form-inline .radio input[type=radio]{position:relative;margin-left:0}.form-inline .has-feedback .form-control-feedback{top:0}}.form-horizontal .checkbox,.form-horizontal .checkbox-inline,.form-horizontal .radio,.form-horizontal .radio-inline{padding-top:7px;margin-top:0;margin-bottom:0}.form-horizontal .checkbox,.form-horizontal .radio{min-height:27px}.form-horizontal .form-group{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.form-horizontal .control-label{padding-top:7px;margin-bottom:0;text-align:right}}.form-horizontal .has-feedback .form-control-feedback{right:15px}@media (min-width:768px){.form-horizontal .form-group-lg .control-label{padding-top:14.33px;font-size:18px}}@media (min-width:768px){.form-horizontal .form-group-sm .control-label{padding-top:6px;font-size:12px}}.btn{display:inline-block;padding:6px 12px;margin-bottom:0;font-size:14px;font-weight:400;line-height:1.42857143;text-align:center;white-space:nowrap;vertical-align:middle;-ms-touch-action:manipulation;touch-action:manipulation;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;background-image:none;border:1px solid transparent;border-radius:4px}.btn.active.focus,.btn.active:focus,.btn.focus,.btn:active.focus,.btn:active:focus,.btn:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn.focus,.btn:focus,.btn:hover{color:#333;text-decoration:none}.btn.active,.btn:active{background-image:none;outline:0;-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn.disabled,.btn[disabled],fieldset[disabled] .btn{cursor:not-allowed;filter:alpha(opacity=65);-webkit-box-shadow:none;box-shadow:none;opacity:.65}a.btn.disabled,fieldset[disabled] a.btn{pointer-events:none}.btn-default{color:#333;background-color:#fff;border-color:#ccc}.btn-default.focus,.btn-default:focus{color:#333;background-color:#e6e6e6;border-color:#8c8c8c}.btn-default:hover{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active.focus,.btn-default.active:focus,.btn-default.active:hover,.btn-default:active.focus,.btn-default:active:focus,.btn-default:active:hover,.open>.dropdown-toggle.btn-default.focus,.open>.dropdown-toggle.btn-default:focus,.open>.dropdown-toggle.btn-default:hover{color:#333;background-color:#d4d4d4;border-color:#8c8c8c}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{background-image:none}.btn-default.disabled,.btn-default.disabled.active,.btn-default.disabled.focus,.btn-default.disabled:active,.btn-default.disabled:focus,.btn-default.disabled:hover,.btn-default[disabled],.btn-default[disabled].active,.btn-default[disabled].focus,.btn-default[disabled]:active,.btn-default[disabled]:focus,.btn-default[disabled]:hover,fieldset[disabled] .btn-default,fieldset[disabled] .btn-default.active,fieldset[disabled] .btn-default.focus,fieldset[disabled] .btn-default:active,fieldset[disabled] .btn-default:focus,fieldset[disabled] .btn-default:hover{background-color:#fff;border-color:#ccc}.btn-default .badge{color:#fff;background-color:#333}.btn-primary{color:#fff;background-color:#337ab7;border-color:#2e6da4}.btn-primary.focus,.btn-primary:focus{color:#fff;background-color:#286090;border-color:#122b40}.btn-primary:hover{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active.focus,.btn-primary.active:focus,.btn-primary.active:hover,.btn-primary:active.focus,.btn-primary:active:focus,.btn-primary:active:hover,.open>.dropdown-toggle.btn-primary.focus,.open>.dropdown-toggle.btn-primary:focus,.open>.dropdown-toggle.btn-primary:hover{color:#fff;background-color:#204d74;border-color:#122b40}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{background-image:none}.btn-primary.disabled,.btn-primary.disabled.active,.btn-primary.disabled.focus,.btn-primary.disabled:active,.btn-primary.disabled:focus,.btn-primary.disabled:hover,.btn-primary[disabled],.btn-primary[disabled].active,.btn-primary[disabled].focus,.btn-primary[disabled]:active,.btn-primary[disabled]:focus,.btn-primary[disabled]:hover,fieldset[disabled] .btn-primary,fieldset[disabled] .btn-primary.active,fieldset[disabled] .btn-primary.focus,fieldset[disabled] .btn-primary:active,fieldset[disabled] .btn-primary:focus,fieldset[disabled] .btn-primary:hover{background-color:#337ab7;border-color:#2e6da4}.btn-primary .badge{color:#337ab7;background-color:#fff}.btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c}.btn-success.focus,.btn-success:focus{color:#fff;background-color:#449d44;border-color:#255625}.btn-success:hover{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active.focus,.btn-success.active:focus,.btn-success.active:hover,.btn-success:active.focus,.btn-success:active:focus,.btn-success:active:hover,.open>.dropdown-toggle.btn-success.focus,.open>.dropdown-toggle.btn-success:focus,.open>.dropdown-toggle.btn-success:hover{color:#fff;background-color:#398439;border-color:#255625}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{background-image:none}.btn-success.disabled,.btn-success.disabled.active,.btn-success.disabled.focus,.btn-success.disabled:active,.btn-success.disabled:focus,.btn-success.disabled:hover,.btn-success[disabled],.btn-success[disabled].active,.btn-success[disabled].focus,.btn-success[disabled]:active,.btn-success[disabled]:focus,.btn-success[disabled]:hover,fieldset[disabled] .btn-success,fieldset[disabled] .btn-success.active,fieldset[disabled] .btn-success.focus,fieldset[disabled] .btn-success:active,fieldset[disabled] .btn-success:focus,fieldset[disabled] .btn-success:hover{background-color:#5cb85c;border-color:#4cae4c}.btn-success .badge{color:#5cb85c;background-color:#fff}.btn-info{color:#fff;background-color:#5bc0de;border-color:#46b8da}.btn-info.focus,.btn-info:focus{color:#fff;background-color:#31b0d5;border-color:#1b6d85}.btn-info:hover{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active.focus,.btn-info.active:focus,.btn-info.active:hover,.btn-info:active.focus,.btn-info:active:focus,.btn-info:active:hover,.open>.dropdown-toggle.btn-info.focus,.open>.dropdown-toggle.btn-info:focus,.open>.dropdown-toggle.btn-info:hover{color:#fff;background-color:#269abc;border-color:#1b6d85}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{background-image:none}.btn-info.disabled,.btn-info.disabled.active,.btn-info.disabled.focus,.btn-info.disabled:active,.btn-info.disabled:focus,.btn-info.disabled:hover,.btn-info[disabled],.btn-info[disabled].active,.btn-info[disabled].focus,.btn-info[disabled]:active,.btn-info[disabled]:focus,.btn-info[disabled]:hover,fieldset[disabled] .btn-info,fieldset[disabled] .btn-info.active,fieldset[disabled] .btn-info.focus,fieldset[disabled] .btn-info:active,fieldset[disabled] .btn-info:focus,fieldset[disabled] .btn-info:hover{background-color:#5bc0de;border-color:#46b8da}.btn-info .badge{color:#5bc0de;background-color:#fff}.btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236}.btn-warning.focus,.btn-warning:focus{color:#fff;background-color:#ec971f;border-color:#985f0d}.btn-warning:hover{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active.focus,.btn-warning.active:focus,.btn-warning.active:hover,.btn-warning:active.focus,.btn-warning:active:focus,.btn-warning:active:hover,.open>.dropdown-toggle.btn-warning.focus,.open>.dropdown-toggle.btn-warning:focus,.open>.dropdown-toggle.btn-warning:hover{color:#fff;background-color:#d58512;border-color:#985f0d}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{background-image:none}.btn-warning.disabled,.btn-warning.disabled.active,.btn-warning.disabled.focus,.btn-warning.disabled:active,.btn-warning.disabled:focus,.btn-warning.disabled:hover,.btn-warning[disabled],.btn-warning[disabled].active,.btn-warning[disabled].focus,.btn-warning[disabled]:active,.btn-warning[disabled]:focus,.btn-warning[disabled]:hover,fieldset[disabled] .btn-warning,fieldset[disabled] .btn-warning.active,fieldset[disabled] .btn-warning.focus,fieldset[disabled] .btn-warning:active,fieldset[disabled] .btn-warning:focus,fieldset[disabled] .btn-warning:hover{background-color:#f0ad4e;border-color:#eea236}.btn-warning .badge{color:#f0ad4e;background-color:#fff}.btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a}.btn-danger.focus,.btn-danger:focus{color:#fff;background-color:#c9302c;border-color:#761c19}.btn-danger:hover{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active.focus,.btn-danger.active:focus,.btn-danger.active:hover,.btn-danger:active.focus,.btn-danger:active:focus,.btn-danger:active:hover,.open>.dropdown-toggle.btn-danger.focus,.open>.dropdown-toggle.btn-danger:focus,.open>.dropdown-toggle.btn-danger:hover{color:#fff;background-color:#ac2925;border-color:#761c19}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{background-image:none}.btn-danger.disabled,.btn-danger.disabled.active,.btn-danger.disabled.focus,.btn-danger.disabled:active,.btn-danger.disabled:focus,.btn-danger.disabled:hover,.btn-danger[disabled],.btn-danger[disabled].active,.btn-danger[disabled].focus,.btn-danger[disabled]:active,.btn-danger[disabled]:focus,.btn-danger[disabled]:hover,fieldset[disabled] .btn-danger,fieldset[disabled] .btn-danger.active,fieldset[disabled] .btn-danger.focus,fieldset[disabled] .btn-danger:active,fieldset[disabled] .btn-danger:focus,fieldset[disabled] .btn-danger:hover{background-color:#d9534f;border-color:#d43f3a}.btn-danger .badge{color:#d9534f;background-color:#fff}.btn-link{font-weight:400;color:#337ab7;border-radius:0}.btn-link,.btn-link.active,.btn-link:active,.btn-link[disabled],fieldset[disabled] .btn-link{background-color:transparent;-webkit-box-shadow:none;box-shadow:none}.btn-link,.btn-link:active,.btn-link:focus,.btn-link:hover{border-color:transparent}.btn-link:focus,.btn-link:hover{color:#23527c;text-decoration:underline;background-color:transparent}.btn-link[disabled]:focus,.btn-link[disabled]:hover,fieldset[disabled] .btn-link:focus,fieldset[disabled] .btn-link:hover{color:#777;text-decoration:none}.btn-group-lg>.btn,.btn-lg{padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.btn-group-sm>.btn,.btn-sm{padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.btn-group-xs>.btn,.btn-xs{padding:1px 5px;font-size:12px;line-height:1.5;border-radius:3px}.btn-block{display:block;width:100%}.btn-block+.btn-block{margin-top:5px}input[type=button].btn-block,input[type=reset].btn-block,input[type=submit].btn-block{width:100%}.fade{opacity:0;-webkit-transition:opacity .15s linear;-o-transition:opacity .15s linear;transition:opacity .15s linear}.fade.in{opacity:1}.collapse{display:none}.collapse.in{display:block}tr.collapse.in{display:table-row}tbody.collapse.in{display:table-row-group}.collapsing{position:relative;height:0;overflow:hidden;-webkit-transition-timing-function:ease;-o-transition-timing-function:ease;transition-timing-function:ease;-webkit-transition-duration:.35s;-o-transition-duration:.35s;transition-duration:.35s;-webkit-transition-property:height,visibility;-o-transition-property:height,visibility;transition-property:height,visibility}.caret{display:inline-block;width:0;height:0;margin-left:2px;vertical-align:middle;border-top:4px dashed;border-top:4px solid\9;border-right:4px solid transparent;border-left:4px solid transparent}.dropdown,.dropup{position:relative}.dropdown-toggle:focus{outline:0}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;font-size:14px;text-align:left;list-style:none;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.15);border-radius:4px;-webkit-box-shadow:0 6px 12px rgba(0,0,0,.175);box-shadow:0 6px 12px rgba(0,0,0,.175)}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:400;line-height:1.42857143;color:#333;white-space:nowrap}.dropdown-menu>li>a:focus,.dropdown-menu>li>a:hover{color:#262626;text-decoration:none;background-color:#f5f5f5}.dropdown-menu>.active>a,.dropdown-menu>.active>a:focus,.dropdown-menu>.active>a:hover{color:#fff;text-decoration:none;background-color:#337ab7;outline:0}.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{color:#777}.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{text-decoration:none;cursor:not-allowed;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.open>.dropdown-menu{display:block}.open>a{outline:0}.dropdown-menu-right{right:0;left:auto}.dropdown-menu-left{right:auto;left:0}.dropdown-header{display:block;padding:3px 20px;font-size:12px;line-height:1.42857143;color:#777;white-space:nowrap}.dropdown-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:990}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{content:"";border-top:0;border-bottom:4px dashed;border-bottom:4px solid\9}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:2px}@media (min-width:768px){.navbar-right .dropdown-menu{right:0;left:auto}.navbar-right .dropdown-menu-left{right:auto;left:0}}.btn-group,.btn-group-vertical{position:relative;display:inline-block;vertical-align:middle}.btn-group-vertical>.btn,.btn-group>.btn{position:relative;float:left}.btn-group-vertical>.btn.active,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:hover,.btn-group>.btn.active,.btn-group>.btn:active,.btn-group>.btn:focus,.btn-group>.btn:hover{z-index:2}.btn-group .btn+.btn,.btn-group .btn+.btn-group,.btn-group .btn-group+.btn,.btn-group .btn-group+.btn-group{margin-left:-1px}.btn-toolbar{margin-left:-5px}.btn-toolbar .btn,.btn-toolbar .btn-group,.btn-toolbar .input-group{float:left}.btn-toolbar>.btn,.btn-toolbar>.btn-group,.btn-toolbar>.input-group{margin-left:5px}.btn-group>.btn:not(:first-child):not(:last-child):not(.dropdown-toggle){border-radius:0}.btn-group>.btn:first-child{margin-left:0}.btn-group>.btn:first-child:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:last-child:not(:first-child),.btn-group>.dropdown-toggle:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.btn-group>.btn-group{float:left}.btn-group>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-bottom-left-radius:0}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{padding-right:8px;padding-left:8px}.btn-group>.btn-lg+.dropdown-toggle{padding-right:12px;padding-left:12px}.btn-group.open .dropdown-toggle{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn-group.open .dropdown-toggle.btn-link{-webkit-box-shadow:none;box-shadow:none}.btn .caret{margin-left:0}.btn-lg .caret{border-width:5px 5px 0;border-bottom-width:0}.dropup .btn-lg .caret{border-width:0 5px 5px}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group,.btn-group-vertical>.btn-group>.btn{display:block;float:none;width:100%;max-width:100%}.btn-group-vertical>.btn-group>.btn{float:none}.btn-group-vertical>.btn+.btn,.btn-group-vertical>.btn+.btn-group,.btn-group-vertical>.btn-group+.btn,.btn-group-vertical>.btn-group+.btn-group{margin-top:-1px;margin-left:0}.btn-group-vertical>.btn:not(:first-child):not(:last-child){border-radius:0}.btn-group-vertical>.btn:first-child:not(:last-child){border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn:last-child:not(:first-child){border-top-left-radius:0;border-top-right-radius:0;border-bottom-left-radius:4px}.btn-group-vertical>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group-vertical>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group-vertical>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-top-right-radius:0}.btn-group-justified{display:table;width:100%;table-layout:fixed;border-collapse:separate}.btn-group-justified>.btn,.btn-group-justified>.btn-group{display:table-cell;float:none;width:1%}.btn-group-justified>.btn-group .btn{width:100%}.btn-group-justified>.btn-group .dropdown-menu{left:auto}[data-toggle=buttons]>.btn input[type=checkbox],[data-toggle=buttons]>.btn input[type=radio],[data-toggle=buttons]>.btn-group>.btn input[type=checkbox],[data-toggle=buttons]>.btn-group>.btn input[type=radio]{position:absolute;clip:rect(0,0,0,0);pointer-events:none}.input-group{position:relative;display:table;border-collapse:separate}.input-group[class*=col-]{float:none;padding-right:0;padding-left:0}.input-group .form-control{position:relative;z-index:2;float:left;width:100%;margin-bottom:0}.input-group-lg>.form-control,.input-group-lg>.input-group-addon,.input-group-lg>.input-group-btn>.btn{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-group-lg>.form-control,select.input-group-lg>.input-group-addon,select.input-group-lg>.input-group-btn>.btn{height:46px;line-height:46px}select[multiple].input-group-lg>.form-control,select[multiple].input-group-lg>.input-group-addon,select[multiple].input-group-lg>.input-group-btn>.btn,textarea.input-group-lg>.form-control,textarea.input-group-lg>.input-group-addon,textarea.input-group-lg>.input-group-btn>.btn{height:auto}.input-group-sm>.form-control,.input-group-sm>.input-group-addon,.input-group-sm>.input-group-btn>.btn{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-group-sm>.form-control,select.input-group-sm>.input-group-addon,select.input-group-sm>.input-group-btn>.btn{height:30px;line-height:30px}select[multiple].input-group-sm>.form-control,select[multiple].input-group-sm>.input-group-addon,select[multiple].input-group-sm>.input-group-btn>.btn,textarea.input-group-sm>.form-control,textarea.input-group-sm>.input-group-addon,textarea.input-group-sm>.input-group-btn>.btn{height:auto}.input-group .form-control,.input-group-addon,.input-group-btn{display:table-cell}.input-group .form-control:not(:first-child):not(:last-child),.input-group-addon:not(:first-child):not(:last-child),.input-group-btn:not(:first-child):not(:last-child){border-radius:0}.input-group-addon,.input-group-btn{width:1%;white-space:nowrap;vertical-align:middle}.input-group-addon{padding:6px 12px;font-size:14px;font-weight:400;line-height:1;color:#555;text-align:center;background-color:#eee;border:1px solid #ccc;border-radius:4px}.input-group-addon.input-sm{padding:5px 10px;font-size:12px;border-radius:3px}.input-group-addon.input-lg{padding:10px 16px;font-size:18px;border-radius:6px}.input-group-addon input[type=checkbox],.input-group-addon input[type=radio]{margin-top:0}.input-group .form-control:first-child,.input-group-addon:first-child,.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group>.btn,.input-group-btn:first-child>.dropdown-toggle,.input-group-btn:last-child>.btn-group:not(:last-child)>.btn,.input-group-btn:last-child>.btn:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.input-group-addon:first-child{border-right:0}.input-group .form-control:last-child,.input-group-addon:last-child,.input-group-btn:first-child>.btn-group:not(:first-child)>.btn,.input-group-btn:first-child>.btn:not(:first-child),.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group>.btn,.input-group-btn:last-child>.dropdown-toggle{border-top-left-radius:0;border-bottom-left-radius:0}.input-group-addon:last-child{border-left:0}.input-group-btn{position:relative;font-size:0;white-space:nowrap}.input-group-btn>.btn{position:relative}.input-group-btn>.btn+.btn{margin-left:-1px}.input-group-btn>.btn:active,.input-group-btn>.btn:focus,.input-group-btn>.btn:hover{z-index:2}.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group{margin-right:-1px}.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group{z-index:2;margin-left:-1px}.nav{padding-left:0;margin-bottom:0;list-style:none}.nav>li{position:relative;display:block}.nav>li>a{position:relative;display:block;padding:10px 15px}.nav>li>a:focus,.nav>li>a:hover{text-decoration:none;background-color:#eee}.nav>li.disabled>a{color:#777}.nav>li.disabled>a:focus,.nav>li.disabled>a:hover{color:#777;text-decoration:none;cursor:not-allowed;background-color:transparent}.nav .open>a,.nav .open>a:focus,.nav .open>a:hover{background-color:#eee;border-color:#337ab7}.nav .nav-divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.nav>li>a>img{max-width:none}.nav-tabs{border-bottom:1px solid #ddd}.nav-tabs>li{float:left;margin-bottom:-1px}.nav-tabs>li>a{margin-right:2px;line-height:1.42857143;border:1px solid transparent;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover{border-color:#eee #eee #ddd}.nav-tabs>li.active>a,.nav-tabs>li.active>a:focus,.nav-tabs>li.active>a:hover{color:#555;cursor:default;background-color:#fff;border:1px solid #ddd;border-bottom-color:transparent}.nav-tabs.nav-justified{width:100%;border-bottom:0}.nav-tabs.nav-justified>li{float:none}.nav-tabs.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-tabs.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-tabs.nav-justified>li{display:table-cell;width:1%}.nav-tabs.nav-justified>li>a{margin-bottom:0}}.nav-tabs.nav-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs.nav-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border-bottom-color:#fff}}.nav-pills>li{float:left}.nav-pills>li>a{border-radius:4px}.nav-pills>li+li{margin-left:2px}.nav-pills>li.active>a,.nav-pills>li.active>a:focus,.nav-pills>li.active>a:hover{color:#fff;background-color:#337ab7}.nav-stacked>li{float:none}.nav-stacked>li+li{margin-top:2px;margin-left:0}.nav-justified{width:100%}.nav-justified>li{float:none}.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-justified>li{display:table-cell;width:1%}.nav-justified>li>a{margin-bottom:0}}.nav-tabs-justified{border-bottom:0}.nav-tabs-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border-bottom-color:#fff}}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.nav-tabs .dropdown-menu{margin-top:-1px;border-top-left-radius:0;border-top-right-radius:0}.navbar{position:relative;min-height:50px;margin-bottom:20px;border:1px solid transparent}@media (min-width:768px){.navbar{border-radius:4px}}@media (min-width:768px){.navbar-header{float:left}}.navbar-collapse{padding-right:15px;padding-left:15px;overflow-x:visible;-webkit-overflow-scrolling:touch;border-top:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1)}.navbar-collapse.in{overflow-y:auto}@media (min-width:768px){.navbar-collapse{width:auto;border-top:0;-webkit-box-shadow:none;box-shadow:none}.navbar-collapse.collapse{display:block!important;height:auto!important;padding-bottom:0;overflow:visible!important}.navbar-collapse.in{overflow-y:visible}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse,.navbar-static-top .navbar-collapse{padding-right:0;padding-left:0}}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:340px}@media (max-device-width:480px) and (orientation:landscape){.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:200px}}.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:0;margin-left:0}}.navbar-static-top{z-index:1000;border-width:0 0 1px}@media (min-width:768px){.navbar-static-top{border-radius:0}}.navbar-fixed-bottom,.navbar-fixed-top{position:fixed;right:0;left:0;z-index:1030}@media (min-width:768px){.navbar-fixed-bottom,.navbar-fixed-top{border-radius:0}}.navbar-fixed-top{top:0;border-width:0 0 1px}.navbar-fixed-bottom{bottom:0;margin-bottom:0;border-width:1px 0 0}.navbar-brand{float:left;height:50px;padding:15px 15px;font-size:18px;line-height:20px}.navbar-brand:focus,.navbar-brand:hover{text-decoration:none}.navbar-brand>img{display:block}@media (min-width:768px){.navbar>.container .navbar-brand,.navbar>.container-fluid .navbar-brand{margin-left:-15px}}.navbar-toggle{position:relative;float:right;padding:9px 10px;margin-top:8px;margin-right:15px;margin-bottom:8px;background-color:transparent;background-image:none;border:1px solid transparent;border-radius:4px}.navbar-toggle:focus{outline:0}.navbar-toggle .icon-bar{display:block;width:22px;height:2px;border-radius:1px}.navbar-toggle .icon-bar+.icon-bar{margin-top:4px}@media (min-width:768px){.navbar-toggle{display:none}}.navbar-nav{margin:7.5px -15px}.navbar-nav>li>a{padding-top:10px;padding-bottom:10px;line-height:20px}@media (max-width:767px){.navbar-nav .open .dropdown-menu{position:static;float:none;width:auto;margin-top:0;background-color:transparent;border:0;-webkit-box-shadow:none;box-shadow:none}.navbar-nav .open .dropdown-menu .dropdown-header,.navbar-nav .open .dropdown-menu>li>a{padding:5px 15px 5px 25px}.navbar-nav .open .dropdown-menu>li>a{line-height:20px}.navbar-nav .open .dropdown-menu>li>a:focus,.navbar-nav .open .dropdown-menu>li>a:hover{background-image:none}}@media (min-width:768px){.navbar-nav{float:left;margin:0}.navbar-nav>li{float:left}.navbar-nav>li>a{padding-top:15px;padding-bottom:15px}}.navbar-form{padding:10px 15px;margin-top:8px;margin-right:-15px;margin-bottom:8px;margin-left:-15px;border-top:1px solid transparent;border-bottom:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1)}@media (min-width:768px){.navbar-form .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.navbar-form .form-control{display:inline-block;width:auto;vertical-align:middle}.navbar-form .form-control-static{display:inline-block}.navbar-form .input-group{display:inline-table;vertical-align:middle}.navbar-form .input-group .form-control,.navbar-form .input-group .input-group-addon,.navbar-form .input-group .input-group-btn{width:auto}.navbar-form .input-group>.form-control{width:100%}.navbar-form .control-label{margin-bottom:0;vertical-align:middle}.navbar-form .checkbox,.navbar-form .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.navbar-form .checkbox label,.navbar-form .radio label{padding-left:0}.navbar-form .checkbox input[type=checkbox],.navbar-form .radio input[type=radio]{position:relative;margin-left:0}.navbar-form .has-feedback .form-control-feedback{top:0}}@media (max-width:767px){.navbar-form .form-group{margin-bottom:5px}.navbar-form .form-group:last-child{margin-bottom:0}}@media (min-width:768px){.navbar-form{width:auto;padding-top:0;padding-bottom:0;margin-right:0;margin-left:0;border:0;-webkit-box-shadow:none;box-shadow:none}}.navbar-nav>li>.dropdown-menu{margin-top:0;border-top-left-radius:0;border-top-right-radius:0}.navbar-fixed-bottom .navbar-nav>li>.dropdown-menu{margin-bottom:0;border-top-left-radius:4px;border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.navbar-btn{margin-top:8px;margin-bottom:8px}.navbar-btn.btn-sm{margin-top:10px;margin-bottom:10px}.navbar-btn.btn-xs{margin-top:14px;margin-bottom:14px}.navbar-text{margin-top:15px;margin-bottom:15px}@media (min-width:768px){.navbar-text{float:left;margin-right:15px;margin-left:15px}}@media (min-width:768px){.navbar-left{float:left!important}.navbar-right{float:right!important;margin-right:-15px}.navbar-right~.navbar-right{margin-right:0}}.navbar-default{background-color:#f8f8f8;border-color:#e7e7e7}.navbar-default .navbar-brand{color:#777}.navbar-default .navbar-brand:focus,.navbar-default .navbar-brand:hover{color:#5e5e5e;background-color:transparent}.navbar-default .navbar-text{color:#777}.navbar-default .navbar-nav>li>a{color:#777}.navbar-default .navbar-nav>li>a:focus,.navbar-default .navbar-nav>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav>.active>a,.navbar-default .navbar-nav>.active>a:focus,.navbar-default .navbar-nav>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav>.disabled>a,.navbar-default .navbar-nav>.disabled>a:focus,.navbar-default .navbar-nav>.disabled>a:hover{color:#ccc;background-color:transparent}.navbar-default .navbar-toggle{border-color:#ddd}.navbar-default .navbar-toggle:focus,.navbar-default .navbar-toggle:hover{background-color:#ddd}.navbar-default .navbar-toggle .icon-bar{background-color:#888}.navbar-default .navbar-collapse,.navbar-default .navbar-form{border-color:#e7e7e7}.navbar-default .navbar-nav>.open>a,.navbar-default .navbar-nav>.open>a:focus,.navbar-default .navbar-nav>.open>a:hover{color:#555;background-color:#e7e7e7}@media (max-width:767px){.navbar-default .navbar-nav .open .dropdown-menu>li>a{color:#777}.navbar-default .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav .open .dropdown-menu>.active>a,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#ccc;background-color:transparent}}.navbar-default .navbar-link{color:#777}.navbar-default .navbar-link:hover{color:#333}.navbar-default .btn-link{color:#777}.navbar-default .btn-link:focus,.navbar-default .btn-link:hover{color:#333}.navbar-default .btn-link[disabled]:focus,.navbar-default .btn-link[disabled]:hover,fieldset[disabled] .navbar-default .btn-link:focus,fieldset[disabled] .navbar-default .btn-link:hover{color:#ccc}.navbar-inverse{background-color:#222;border-color:#080808}.navbar-inverse .navbar-brand{color:#9d9d9d}.navbar-inverse .navbar-brand:focus,.navbar-inverse .navbar-brand:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-text{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a:focus,.navbar-inverse .navbar-nav>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav>.active>a,.navbar-inverse .navbar-nav>.active>a:focus,.navbar-inverse .navbar-nav>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav>.disabled>a,.navbar-inverse .navbar-nav>.disabled>a:focus,.navbar-inverse .navbar-nav>.disabled>a:hover{color:#444;background-color:transparent}.navbar-inverse .navbar-toggle{border-color:#333}.navbar-inverse .navbar-toggle:focus,.navbar-inverse .navbar-toggle:hover{background-color:#333}.navbar-inverse .navbar-toggle .icon-bar{background-color:#fff}.navbar-inverse .navbar-collapse,.navbar-inverse .navbar-form{border-color:#101010}.navbar-inverse .navbar-nav>.open>a,.navbar-inverse .navbar-nav>.open>a:focus,.navbar-inverse .navbar-nav>.open>a:hover{color:#fff;background-color:#080808}@media (max-width:767px){.navbar-inverse .navbar-nav .open .dropdown-menu>.dropdown-header{border-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu .divider{background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#444;background-color:transparent}}.navbar-inverse .navbar-link{color:#9d9d9d}.navbar-inverse .navbar-link:hover{color:#fff}.navbar-inverse .btn-link{color:#9d9d9d}.navbar-inverse .btn-link:focus,.navbar-inverse .btn-link:hover{color:#fff}.navbar-inverse .btn-link[disabled]:focus,.navbar-inverse .btn-link[disabled]:hover,fieldset[disabled] .navbar-inverse .btn-link:focus,fieldset[disabled] .navbar-inverse .btn-link:hover{color:#444}.breadcrumb{padding:8px 15px;margin-bottom:20px;list-style:none;background-color:#f5f5f5;border-radius:4px}.breadcrumb>li{display:inline-block}.breadcrumb>li+li:before{padding:0 5px;color:#ccc;content:"/\00a0"}.breadcrumb>.active{color:#777}.pagination{display:inline-block;padding-left:0;margin:20px 0;border-radius:4px}.pagination>li{display:inline}.pagination>li>a,.pagination>li>span{position:relative;float:left;padding:6px 12px;margin-left:-1px;line-height:1.42857143;color:#337ab7;text-decoration:none;background-color:#fff;border:1px solid #ddd}.pagination>li:first-child>a,.pagination>li:first-child>span{margin-left:0;border-top-left-radius:4px;border-bottom-left-radius:4px}.pagination>li:last-child>a,.pagination>li:last-child>span{border-top-right-radius:4px;border-bottom-right-radius:4px}.pagination>li>a:focus,.pagination>li>a:hover,.pagination>li>span:focus,.pagination>li>span:hover{z-index:3;color:#23527c;background-color:#eee;border-color:#ddd}.pagination>.active>a,.pagination>.active>a:focus,.pagination>.active>a:hover,.pagination>.active>span,.pagination>.active>span:focus,.pagination>.active>span:hover{z-index:2;color:#fff;cursor:default;background-color:#337ab7;border-color:#337ab7}.pagination>.disabled>a,.pagination>.disabled>a:focus,.pagination>.disabled>a:hover,.pagination>.disabled>span,.pagination>.disabled>span:focus,.pagination>.disabled>span:hover{color:#777;cursor:not-allowed;background-color:#fff;border-color:#ddd}.pagination-lg>li>a,.pagination-lg>li>span{padding:10px 16px;font-size:18px;line-height:1.3333333}.pagination-lg>li:first-child>a,.pagination-lg>li:first-child>span{border-top-left-radius:6px;border-bottom-left-radius:6px}.pagination-lg>li:last-child>a,.pagination-lg>li:last-child>span{border-top-right-radius:6px;border-bottom-right-radius:6px}.pagination-sm>li>a,.pagination-sm>li>span{padding:5px 10px;font-size:12px;line-height:1.5}.pagination-sm>li:first-child>a,.pagination-sm>li:first-child>span{border-top-left-radius:3px;border-bottom-left-radius:3px}.pagination-sm>li:last-child>a,.pagination-sm>li:last-child>span{border-top-right-radius:3px;border-bottom-right-radius:3px}.pager{padding-left:0;margin:20px 0;text-align:center;list-style:none}.pager li{display:inline}.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#fff;border:1px solid #ddd;border-radius:15px}.pager li>a:focus,.pager li>a:hover{text-decoration:none;background-color:#eee}.pager .next>a,.pager .next>span{float:right}.pager .previous>a,.pager .previous>span{float:left}.pager .disabled>a,.pager .disabled>a:focus,.pager .disabled>a:hover,.pager .disabled>span{color:#777;cursor:not-allowed;background-color:#fff}.label{display:inline;padding:.2em .6em .3em;font-size:75%;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:.25em}a.label:focus,a.label:hover{color:#fff;text-decoration:none;cursor:pointer}.label:empty{display:none}.btn .label{position:relative;top:-1px}.label-default{background-color:#777}.label-default[href]:focus,.label-default[href]:hover{background-color:#5e5e5e}.label-primary{background-color:#337ab7}.label-primary[href]:focus,.label-primary[href]:hover{background-color:#286090}.label-success{background-color:#5cb85c}.label-success[href]:focus,.label-success[href]:hover{background-color:#449d44}.label-info{background-color:#5bc0de}.label-info[href]:focus,.label-info[href]:hover{background-color:#31b0d5}.label-warning{background-color:#f0ad4e}.label-warning[href]:focus,.label-warning[href]:hover{background-color:#ec971f}.label-danger{background-color:#d9534f}.label-danger[href]:focus,.label-danger[href]:hover{background-color:#c9302c}.badge{display:inline-block;min-width:10px;padding:3px 7px;font-size:12px;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:middle;background-color:#777;border-radius:10px}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.btn-group-xs>.btn .badge,.btn-xs .badge{top:0;padding:1px 5px}a.badge:focus,a.badge:hover{color:#fff;text-decoration:none;cursor:pointer}.list-group-item.active>.badge,.nav-pills>.active>a>.badge{color:#337ab7;background-color:#fff}.list-group-item>.badge{float:right}.list-group-item>.badge+.badge{margin-right:5px}.nav-pills>li>a>.badge{margin-left:3px}.jumbotron{padding-top:30px;padding-bottom:30px;margin-bottom:30px;color:inherit;background-color:#eee}.jumbotron .h1,.jumbotron h1{color:inherit}.jumbotron p{margin-bottom:15px;font-size:21px;font-weight:200}.jumbotron>hr{border-top-color:#d5d5d5}.container .jumbotron,.container-fluid .jumbotron{border-radius:6px}.jumbotron .container{max-width:100%}@media screen and (min-width:768px){.jumbotron{padding-top:48px;padding-bottom:48px}.container .jumbotron,.container-fluid .jumbotron{padding-right:60px;padding-left:60px}.jumbotron .h1,.jumbotron h1{font-size:63px}}.thumbnail{display:block;padding:4px;margin-bottom:20px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:border .2s ease-in-out;-o-transition:border .2s ease-in-out;transition:border .2s ease-in-out}.thumbnail a>img,.thumbnail>img{margin-right:auto;margin-left:auto}a.thumbnail.active,a.thumbnail:focus,a.thumbnail:hover{border-color:#337ab7}.thumbnail .caption{padding:9px;color:#333}.alert{padding:15px;margin-bottom:20px;border:1px solid transparent;border-radius:4px}.alert h4{margin-top:0;color:inherit}.alert .alert-link{font-weight:700}.alert>p,.alert>ul{margin-bottom:0}.alert>p+p{margin-top:5px}.alert-dismissable,.alert-dismissible{padding-right:35px}.alert-dismissable .close,.alert-dismissible .close{position:relative;top:-2px;right:-21px;color:inherit}.alert-success{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.alert-success hr{border-top-color:#c9e2b3}.alert-success .alert-link{color:#2b542c}.alert-info{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.alert-info hr{border-top-color:#a6e1ec}.alert-info .alert-link{color:#245269}.alert-warning{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.alert-warning hr{border-top-color:#f7e1b5}.alert-warning .alert-link{color:#66512c}.alert-danger{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.alert-danger hr{border-top-color:#e4b9c0}.alert-danger .alert-link{color:#843534}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{height:20px;margin-bottom:20px;overflow:hidden;background-color:#f5f5f5;border-radius:4px;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,.1);box-shadow:inset 0 1px 2px rgba(0,0,0,.1)}.progress-bar{float:left;width:0;height:100%;font-size:12px;line-height:20px;color:#fff;text-align:center;background-color:#337ab7;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);-webkit-transition:width .6s ease;-o-transition:width .6s ease;transition:width .6s ease}.progress-bar-striped,.progress-striped .progress-bar{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);-webkit-background-size:40px 40px;background-size:40px 40px}.progress-bar.active,.progress.active .progress-bar{-webkit-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-bar-success{background-color:#5cb85c}.progress-striped .progress-bar-success{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-info{background-color:#5bc0de}.progress-striped .progress-bar-info{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-warning{background-color:#f0ad4e}.progress-striped .progress-bar-warning{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-danger{background-color:#d9534f}.progress-striped .progress-bar-danger{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.media{margin-top:15px}.media:first-child{margin-top:0}.media,.media-body{overflow:hidden;zoom:1}.media-body{width:10000px}.media-object{display:block}.media-object.img-thumbnail{max-width:none}.media-right,.media>.pull-right{padding-left:10px}.media-left,.media>.pull-left{padding-right:10px}.media-body,.media-left,.media-right{display:table-cell;vertical-align:top}.media-middle{vertical-align:middle}.media-bottom{vertical-align:bottom}.media-heading{margin-top:0;margin-bottom:5px}.media-list{padding-left:0;list-style:none}.list-group{padding-left:0;margin-bottom:20px}.list-group-item{position:relative;display:block;padding:10px 15px;margin-bottom:-1px;background-color:#fff;border:1px solid #ddd}.list-group-item:first-child{border-top-left-radius:4px;border-top-right-radius:4px}.list-group-item:last-child{margin-bottom:0;border-bottom-right-radius:4px;border-bottom-left-radius:4px}a.list-group-item,button.list-group-item{color:#555}a.list-group-item .list-group-item-heading,button.list-group-item .list-group-item-heading{color:#333}a.list-group-item:focus,a.list-group-item:hover,button.list-group-item:focus,button.list-group-item:hover{color:#555;text-decoration:none;background-color:#f5f5f5}button.list-group-item{width:100%;text-align:left}.list-group-item.disabled,.list-group-item.disabled:focus,.list-group-item.disabled:hover{color:#777;cursor:not-allowed;background-color:#eee}.list-group-item.disabled .list-group-item-heading,.list-group-item.disabled:focus .list-group-item-heading,.list-group-item.disabled:hover .list-group-item-heading{color:inherit}.list-group-item.disabled .list-group-item-text,.list-group-item.disabled:focus .list-group-item-text,.list-group-item.disabled:hover .list-group-item-text{color:#777}.list-group-item.active,.list-group-item.active:focus,.list-group-item.active:hover{z-index:2;color:#fff;background-color:#337ab7;border-color:#337ab7}.list-group-item.active .list-group-item-heading,.list-group-item.active .list-group-item-heading>.small,.list-group-item.active .list-group-item-heading>small,.list-group-item.active:focus .list-group-item-heading,.list-group-item.active:focus .list-group-item-heading>.small,.list-group-item.active:focus .list-group-item-heading>small,.list-group-item.active:hover .list-group-item-heading,.list-group-item.active:hover .list-group-item-heading>.small,.list-group-item.active:hover .list-group-item-heading>small{color:inherit}.list-group-item.active .list-group-item-text,.list-group-item.active:focus .list-group-item-text,.list-group-item.active:hover .list-group-item-text{color:#c7ddef}.list-group-item-success{color:#3c763d;background-color:#dff0d8}a.list-group-item-success,button.list-group-item-success{color:#3c763d}a.list-group-item-success .list-group-item-heading,button.list-group-item-success .list-group-item-heading{color:inherit}a.list-group-item-success:focus,a.list-group-item-success:hover,button.list-group-item-success:focus,button.list-group-item-success:hover{color:#3c763d;background-color:#d0e9c6}a.list-group-item-success.active,a.list-group-item-success.active:focus,a.list-group-item-success.active:hover,button.list-group-item-success.active,button.list-group-item-success.active:focus,button.list-group-item-success.active:hover{color:#fff;background-color:#3c763d;border-color:#3c763d}.list-group-item-info{color:#31708f;background-color:#d9edf7}a.list-group-item-info,button.list-group-item-info{color:#31708f}a.list-group-item-info .list-group-item-heading,button.list-group-item-info .list-group-item-heading{color:inherit}a.list-group-item-info:focus,a.list-group-item-info:hover,button.list-group-item-info:focus,button.list-group-item-info:hover{color:#31708f;background-color:#c4e3f3}a.list-group-item-info.active,a.list-group-item-info.active:focus,a.list-group-item-info.active:hover,button.list-group-item-info.active,button.list-group-item-info.active:focus,button.list-group-item-info.active:hover{color:#fff;background-color:#31708f;border-color:#31708f}.list-group-item-warning{color:#8a6d3b;background-color:#fcf8e3}a.list-group-item-warning,button.list-group-item-warning{color:#8a6d3b}a.list-group-item-warning .list-group-item-heading,button.list-group-item-warning .list-group-item-heading{color:inherit}a.list-group-item-warning:focus,a.list-group-item-warning:hover,button.list-group-item-warning:focus,button.list-group-item-warning:hover{color:#8a6d3b;background-color:#faf2cc}a.list-group-item-warning.active,a.list-group-item-warning.active:focus,a.list-group-item-warning.active:hover,button.list-group-item-warning.active,button.list-group-item-warning.active:focus,button.list-group-item-warning.active:hover{color:#fff;background-color:#8a6d3b;border-color:#8a6d3b}.list-group-item-danger{color:#a94442;background-color:#f2dede}a.list-group-item-danger,button.list-group-item-danger{color:#a94442}a.list-group-item-danger .list-group-item-heading,button.list-group-item-danger .list-group-item-heading{color:inherit}a.list-group-item-danger:focus,a.list-group-item-danger:hover,button.list-group-item-danger:focus,button.list-group-item-danger:hover{color:#a94442;background-color:#ebcccc}a.list-group-item-danger.active,a.list-group-item-danger.active:focus,a.list-group-item-danger.active:hover,button.list-group-item-danger.active,button.list-group-item-danger.active:focus,button.list-group-item-danger.active:hover{color:#fff;background-color:#a94442;border-color:#a94442}.list-group-item-heading{margin-top:0;margin-bottom:5px}.list-group-item-text{margin-bottom:0;line-height:1.3}.panel{margin-bottom:20px;background-color:#fff;border:1px solid transparent;border-radius:4px;-webkit-box-shadow:0 1px 1px rgba(0,0,0,.05);box-shadow:0 1px 1px rgba(0,0,0,.05)}.panel-body{padding:15px}.panel-heading{padding:10px 15px;border-bottom:1px solid transparent;border-top-left-radius:3px;border-top-right-radius:3px}.panel-heading>.dropdown .dropdown-toggle{color:inherit}.panel-title{margin-top:0;margin-bottom:0;font-size:16px;color:inherit}.panel-title>.small,.panel-title>.small>a,.panel-title>a,.panel-title>small,.panel-title>small>a{color:inherit}.panel-footer{padding:10px 15px;background-color:#f5f5f5;border-top:1px solid #ddd;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.list-group,.panel>.panel-collapse>.list-group{margin-bottom:0}.panel>.list-group .list-group-item,.panel>.panel-collapse>.list-group .list-group-item{border-width:1px 0;border-radius:0}.panel>.list-group:first-child .list-group-item:first-child,.panel>.panel-collapse>.list-group:first-child .list-group-item:first-child{border-top:0;border-top-left-radius:3px;border-top-right-radius:3px}.panel>.list-group:last-child .list-group-item:last-child,.panel>.panel-collapse>.list-group:last-child .list-group-item:last-child{border-bottom:0;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.panel-heading+.panel-collapse>.list-group .list-group-item:first-child{border-top-left-radius:0;border-top-right-radius:0}.panel-heading+.list-group .list-group-item:first-child{border-top-width:0}.list-group+.panel-footer{border-top-width:0}.panel>.panel-collapse>.table,.panel>.table,.panel>.table-responsive>.table{margin-bottom:0}.panel>.panel-collapse>.table caption,.panel>.table caption,.panel>.table-responsive>.table caption{padding-right:15px;padding-left:15px}.panel>.table-responsive:first-child>.table:first-child,.panel>.table:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child,.panel>.table:first-child>thead:first-child>tr:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table:first-child>thead:first-child>tr:first-child th:first-child{border-top-left-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table:first-child>thead:first-child>tr:first-child th:last-child{border-top-right-radius:3px}.panel>.table-responsive:last-child>.table:last-child,.panel>.table:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:first-child{border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:last-child{border-bottom-right-radius:3px}.panel>.panel-body+.table,.panel>.panel-body+.table-responsive,.panel>.table+.panel-body,.panel>.table-responsive+.panel-body{border-top:1px solid #ddd}.panel>.table>tbody:first-child>tr:first-child td,.panel>.table>tbody:first-child>tr:first-child th{border-top:0}.panel>.table-bordered,.panel>.table-responsive>.table-bordered{border:0}.panel>.table-bordered>tbody>tr>td:first-child,.panel>.table-bordered>tbody>tr>th:first-child,.panel>.table-bordered>tfoot>tr>td:first-child,.panel>.table-bordered>tfoot>tr>th:first-child,.panel>.table-bordered>thead>tr>td:first-child,.panel>.table-bordered>thead>tr>th:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:first-child,.panel>.table-responsive>.table-bordered>thead>tr>td:first-child,.panel>.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.panel>.table-bordered>tbody>tr>td:last-child,.panel>.table-bordered>tbody>tr>th:last-child,.panel>.table-bordered>tfoot>tr>td:last-child,.panel>.table-bordered>tfoot>tr>th:last-child,.panel>.table-bordered>thead>tr>td:last-child,.panel>.table-bordered>thead>tr>th:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:last-child,.panel>.table-responsive>.table-bordered>thead>tr>td:last-child,.panel>.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.panel>.table-bordered>tbody>tr:first-child>td,.panel>.table-bordered>tbody>tr:first-child>th,.panel>.table-bordered>thead>tr:first-child>td,.panel>.table-bordered>thead>tr:first-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>th,.panel>.table-responsive>.table-bordered>thead>tr:first-child>td,.panel>.table-responsive>.table-bordered>thead>tr:first-child>th{border-bottom:0}.panel>.table-bordered>tbody>tr:last-child>td,.panel>.table-bordered>tbody>tr:last-child>th,.panel>.table-bordered>tfoot>tr:last-child>td,.panel>.table-bordered>tfoot>tr:last-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>th,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>td,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}.panel>.table-responsive{margin-bottom:0;border:0}.panel-group{margin-bottom:20px}.panel-group .panel{margin-bottom:0;border-radius:4px}.panel-group .panel+.panel{margin-top:5px}.panel-group .panel-heading{border-bottom:0}.panel-group .panel-heading+.panel-collapse>.list-group,.panel-group .panel-heading+.panel-collapse>.panel-body{border-top:1px solid #ddd}.panel-group .panel-footer{border-top:0}.panel-group .panel-footer+.panel-collapse .panel-body{border-bottom:1px solid #ddd}.panel-default{border-color:#ddd}.panel-default>.panel-heading{color:#333;background-color:#f5f5f5;border-color:#ddd}.panel-default>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ddd}.panel-default>.panel-heading .badge{color:#f5f5f5;background-color:#333}.panel-default>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ddd}.panel-primary{border-color:#337ab7}.panel-primary>.panel-heading{color:#fff;background-color:#337ab7;border-color:#337ab7}.panel-primary>.panel-heading+.panel-collapse>.panel-body{border-top-color:#337ab7}.panel-primary>.panel-heading .badge{color:#337ab7;background-color:#fff}.panel-primary>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#337ab7}.panel-success{border-color:#d6e9c6}.panel-success>.panel-heading{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.panel-success>.panel-heading+.panel-collapse>.panel-body{border-top-color:#d6e9c6}.panel-success>.panel-heading .badge{color:#dff0d8;background-color:#3c763d}.panel-success>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#d6e9c6}.panel-info{border-color:#bce8f1}.panel-info>.panel-heading{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.panel-info>.panel-heading+.panel-collapse>.panel-body{border-top-color:#bce8f1}.panel-info>.panel-heading .badge{color:#d9edf7;background-color:#31708f}.panel-info>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#bce8f1}.panel-warning{border-color:#faebcc}.panel-warning>.panel-heading{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.panel-warning>.panel-heading+.panel-collapse>.panel-body{border-top-color:#faebcc}.panel-warning>.panel-heading .badge{color:#fcf8e3;background-color:#8a6d3b}.panel-warning>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#faebcc}.panel-danger{border-color:#ebccd1}.panel-danger>.panel-heading{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.panel-danger>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ebccd1}.panel-danger>.panel-heading .badge{color:#f2dede;background-color:#a94442}.panel-danger>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ebccd1}.embed-responsive{position:relative;display:block;height:0;padding:0;overflow:hidden}.embed-responsive .embed-responsive-item,.embed-responsive embed,.embed-responsive iframe,.embed-responsive object,.embed-responsive video{position:absolute;top:0;bottom:0;left:0;width:100%;height:100%;border:0}.embed-responsive-16by9{padding-bottom:56.25%}.embed-responsive-4by3{padding-bottom:75%}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.05);box-shadow:inset 0 1px 1px rgba(0,0,0,.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,.15)}.well-lg{padding:24px;border-radius:6px}.well-sm{padding:9px;border-radius:3px}.close{float:right;font-size:21px;font-weight:700;line-height:1;color:#000;text-shadow:0 1px 0 #fff;filter:alpha(opacity=20);opacity:.2}.close:focus,.close:hover{color:#000;text-decoration:none;cursor:pointer;filter:alpha(opacity=50);opacity:.5}button.close{-webkit-appearance:none;padding:0;cursor:pointer;background:0 0;border:0}.modal-open{overflow:hidden}.modal{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1050;display:none;overflow:hidden;-webkit-overflow-scrolling:touch;outline:0}.modal.fade .modal-dialog{-webkit-transition:-webkit-transform .3s ease-out;-o-transition:-o-transform .3s ease-out;transition:transform .3s ease-out;-webkit-transform:translate(0,-25%);-ms-transform:translate(0,-25%);-o-transform:translate(0,-25%);transform:translate(0,-25%)}.modal.in .modal-dialog{-webkit-transform:translate(0,0);-ms-transform:translate(0,0);-o-transform:translate(0,0);transform:translate(0,0)}.modal-open .modal{overflow-x:hidden;overflow-y:auto}.modal-dialog{position:relative;width:auto;margin:10px}.modal-content{position:relative;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #999;border:1px solid rgba(0,0,0,.2);border-radius:6px;outline:0;-webkit-box-shadow:0 3px 9px rgba(0,0,0,.5);box-shadow:0 3px 9px rgba(0,0,0,.5)}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000}.modal-backdrop.fade{filter:alpha(opacity=0);opacity:0}.modal-backdrop.in{filter:alpha(opacity=50);opacity:.5}.modal-header{min-height:16.43px;padding:15px;border-bottom:1px solid #e5e5e5}.modal-header .close{margin-top:-2px}.modal-title{margin:0;line-height:1.42857143}.modal-body{position:relative;padding:15px}.modal-footer{padding:15px;text-align:right;border-top:1px solid #e5e5e5}.modal-footer .btn+.btn{margin-bottom:0;margin-left:5px}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.modal-footer .btn-block+.btn-block{margin-left:0}.modal-scrollbar-measure{position:absolute;top:-9999px;width:50px;height:50px;overflow:scroll}@media (min-width:768px){.modal-dialog{width:600px;margin:30px auto}.modal-content{-webkit-box-shadow:0 5px 15px rgba(0,0,0,.5);box-shadow:0 5px 15px rgba(0,0,0,.5)}.modal-sm{width:300px}}@media (min-width:992px){.modal-lg{width:900px}}.tooltip{position:absolute;z-index:1070;display:block;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:12px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;filter:alpha(opacity=0);opacity:0;line-break:auto}.tooltip.in{filter:alpha(opacity=90);opacity:.9}.tooltip.top{padding:5px 0;margin-top:-3px}.tooltip.right{padding:0 5px;margin-left:3px}.tooltip.bottom{padding:5px 0;margin-top:3px}.tooltip.left{padding:0 5px;margin-left:-3px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#fff;text-align:center;background-color:#000;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-left .tooltip-arrow{right:5px;bottom:0;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-right .tooltip-arrow{bottom:0;left:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-width:5px 5px 5px 0;border-right-color:#000}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-width:5px 0 5px 5px;border-left-color:#000}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-left .tooltip-arrow{top:0;right:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-right .tooltip-arrow{top:0;left:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.popover{position:absolute;top:0;left:0;z-index:1060;display:none;max-width:276px;padding:1px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.2);border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,.2);box-shadow:0 5px 10px rgba(0,0,0,.2);line-break:auto}.popover.top{margin-top:-10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-left:-10px}.popover-title{padding:8px 14px;margin:0;font-size:14px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;border-radius:5px 5px 0 0}.popover-content{padding:9px 14px}.popover>.arrow,.popover>.arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid}.popover>.arrow{border-width:11px}.popover>.arrow:after{content:"";border-width:10px}.popover.top>.arrow{bottom:-11px;left:50%;margin-left:-11px;border-top-color:#999;border-top-color:rgba(0,0,0,.25);border-bottom-width:0}.popover.top>.arrow:after{bottom:1px;margin-left:-10px;content:" ";border-top-color:#fff;border-bottom-width:0}.popover.right>.arrow{top:50%;left:-11px;margin-top:-11px;border-right-color:#999;border-right-color:rgba(0,0,0,.25);border-left-width:0}.popover.right>.arrow:after{bottom:-10px;left:1px;content:" ";border-right-color:#fff;border-left-width:0}.popover.bottom>.arrow{top:-11px;left:50%;margin-left:-11px;border-top-width:0;border-bottom-color:#999;border-bottom-color:rgba(0,0,0,.25)}.popover.bottom>.arrow:after{top:1px;margin-left:-10px;content:" ";border-top-width:0;border-bottom-color:#fff}.popover.left>.arrow{top:50%;right:-11px;margin-top:-11px;border-right-width:0;border-left-color:#999;border-left-color:rgba(0,0,0,.25)}.popover.left>.arrow:after{right:1px;bottom:-10px;content:" ";border-right-width:0;border-left-color:#fff}.carousel{position:relative}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner>.item{position:relative;display:none;-webkit-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>a>img,.carousel-inner>.item>img{line-height:1}@media all and (transform-3d),(-webkit-transform-3d){.carousel-inner>.item{-webkit-transition:-webkit-transform .6s ease-in-out;-o-transition:-o-transform .6s ease-in-out;transition:transform .6s ease-in-out;-webkit-backface-visibility:hidden;backface-visibility:hidden;-webkit-perspective:1000px;perspective:1000px}.carousel-inner>.item.active.right,.carousel-inner>.item.next{left:0;-webkit-transform:translate3d(100%,0,0);transform:translate3d(100%,0,0)}.carousel-inner>.item.active.left,.carousel-inner>.item.prev{left:0;-webkit-transform:translate3d(-100%,0,0);transform:translate3d(-100%,0,0)}.carousel-inner>.item.active,.carousel-inner>.item.next.left,.carousel-inner>.item.prev.right{left:0;-webkit-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:0;bottom:0;left:0;width:15%;font-size:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6);filter:alpha(opacity=50);opacity:.5}.carousel-control.left{background-image:-webkit-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.5)),to(rgba(0,0,0,.0001)));background-image:linear-gradient(to right,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);background-repeat:repeat-x}.carousel-control.right{right:0;left:auto;background-image:-webkit-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.0001)),to(rgba(0,0,0,.5)));background-image:linear-gradient(to right,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);background-repeat:repeat-x}.carousel-control:focus,.carousel-control:hover{color:#fff;text-decoration:none;filter:alpha(opacity=90);outline:0;opacity:.9}.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{position:absolute;top:50%;z-index:5;display:inline-block;margin-top:-10px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{left:50%;margin-left:-10px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{right:50%;margin-right:-10px}.carousel-control .icon-next,.carousel-control .icon-prev{width:20px;height:20px;font-family:serif;line-height:1}.carousel-control .icon-prev:before{content:'\2039'}.carousel-control .icon-next:before{content:'\203a'}.carousel-indicators{position:absolute;bottom:10px;left:50%;z-index:15;width:60%;padding-left:0;margin-left:-30%;text-align:center;list-style:none}.carousel-indicators li{display:inline-block;width:10px;height:10px;margin:1px;text-indent:-999px;cursor:pointer;background-color:#000\9;background-color:rgba(0,0,0,0);border:1px solid #fff;border-radius:10px}.carousel-indicators .active{width:12px;height:12px;margin:0;background-color:#fff}.carousel-caption{position:absolute;right:15%;bottom:20px;left:15%;z-index:10;padding-top:20px;padding-bottom:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6)}.carousel-caption .btn{text-shadow:none}@media screen and (min-width:768px){.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{width:30px;height:30px;margin-top:-15px;font-size:30px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{margin-left:-15px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{margin-right:-15px}.carousel-caption{right:20%;left:20%;padding-bottom:30px}.carousel-indicators{bottom:20px}}.btn-group-vertical>.btn-group:after,.btn-group-vertical>.btn-group:before,.btn-toolbar:after,.btn-toolbar:before,.clearfix:after,.clearfix:before,.container-fluid:after,.container-fluid:before,.container:after,.container:before,.dl-horizontal dd:after,.dl-horizontal dd:before,.form-horizontal .form-group:after,.form-horizontal .form-group:before,.modal-footer:after,.modal-footer:before,.nav:after,.nav:before,.navbar-collapse:after,.navbar-collapse:before,.navbar-header:after,.navbar-header:before,.navbar:after,.navbar:before,.pager:after,.pager:before,.panel-body:after,.panel-body:before,.row:after,.row:before{display:table;content:" "}.btn-group-vertical>.btn-group:after,.btn-toolbar:after,.clearfix:after,.container-fluid:after,.container:after,.dl-horizontal dd:after,.form-horizontal .form-group:after,.modal-footer:after,.nav:after,.navbar-collapse:after,.navbar-header:after,.navbar:after,.pager:after,.panel-body:after,.row:after{clear:both}.center-block{display:block;margin-right:auto;margin-left:auto}.pull-right{float:right!important}.pull-left{float:left!important}.hide{display:none!important}.show{display:block!important}.invisible{visibility:hidden}.text-hide{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.hidden{display:none!important}.affix{position:fixed}@-ms-viewport{width:device-width}.visible-lg,.visible-md,.visible-sm,.visible-xs{display:none!important}.visible-lg-block,.visible-lg-inline,.visible-lg-inline-block,.visible-md-block,.visible-md-inline,.visible-md-inline-block,.visible-sm-block,.visible-sm-inline,.visible-sm-inline-block,.visible-xs-block,.visible-xs-inline,.visible-xs-inline-block{display:none!important}@media (max-width:767px){.visible-xs{display:block!important}table.visible-xs{display:table!important}tr.visible-xs{display:table-row!important}td.visible-xs,th.visible-xs{display:table-cell!important}}@media (max-width:767px){.visible-xs-block{display:block!important}}@media (max-width:767px){.visible-xs-inline{display:inline!important}}@media (max-width:767px){.visible-xs-inline-block{display:inline-block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm{display:block!important}table.visible-sm{display:table!important}tr.visible-sm{display:table-row!important}td.visible-sm,th.visible-sm{display:table-cell!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-block{display:block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline{display:inline!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline-block{display:inline-block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md{display:block!important}table.visible-md{display:table!important}tr.visible-md{display:table-row!important}td.visible-md,th.visible-md{display:table-cell!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-block{display:block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline{display:inline!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline-block{display:inline-block!important}}@media (min-width:1200px){.visible-lg{display:block!important}table.visible-lg{display:table!important}tr.visible-lg{display:table-row!important}td.visible-lg,th.visible-lg{display:table-cell!important}}@media (min-width:1200px){.visible-lg-block{display:block!important}}@media (min-width:1200px){.visible-lg-inline{display:inline!important}}@media (min-width:1200px){.visible-lg-inline-block{display:inline-block!important}}@media (max-width:767px){.hidden-xs{display:none!important}}@media (min-width:768px) and (max-width:991px){.hidden-sm{display:none!important}}@media (min-width:992px) and (max-width:1199px){.hidden-md{display:none!important}}@media (min-width:1200px){.hidden-lg{display:none!important}}.visible-print{display:none!important}@media print{.visible-print{display:block!important}table.visible-print{display:table!important}tr.visible-print{display:table-row!important}td.visible-print,th.visible-print{display:table-cell!important}}.visible-print-block{display:none!important}@media print{.visible-print-block{display:block!important}}.visible-print-inline{display:none!important}@media print{.visible-print-inline{display:inline!important}}.visible-print-inline-block{display:none!important}@media print{.visible-print-inline-block{display:inline-block!important}}@media print{.hidden-print{display:none!important}}
+</style>
+<script>/*!
+ * Bootstrap v3.3.5 (http://getbootstrap.com)
+ * Copyright 2011-2015 Twitter, Inc.
+ * Licensed under the MIT license
+ */
+if("undefined"==typeof jQuery)throw new Error("Bootstrap's JavaScript requires jQuery");+function(a){"use strict";var b=a.fn.jquery.split(" ")[0].split(".");if(b[0]<2&&b[1]<9||1==b[0]&&9==b[1]&&b[2]<1)throw new Error("Bootstrap's JavaScript requires jQuery version 1.9.1 or higher")}(jQuery),+function(a){"use strict";function b(){var a=document.createElement("bootstrap"),b={WebkitTransition:"webkitTransitionEnd",MozTransition:"transitionend",OTransition:"oTransitionEnd otransitionend",transition:"transitionend"};for(var c in b)if(void 0!==a.style[c])return{end:b[c]};return!1}a.fn.emulateTransitionEnd=function(b){var c=!1,d=this;a(this).one("bsTransitionEnd",function(){c=!0});var e=function(){c||a(d).trigger(a.support.transition.end)};return setTimeout(e,b),this},a(function(){a.support.transition=b(),a.support.transition&&(a.event.special.bsTransitionEnd={bindType:a.support.transition.end,delegateType:a.support.transition.end,handle:function(b){return a(b.target).is(this)?b.handleObj.handler.apply(this,arguments):void 0}})})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var c=a(this),e=c.data("bs.alert");e||c.data("bs.alert",e=new d(this)),"string"==typeof b&&e[b].call(c)})}var c='[data-dismiss="alert"]',d=function(b){a(b).on("click",c,this.close)};d.VERSION="3.3.5",d.TRANSITION_DURATION=150,d.prototype.close=function(b){function c(){g.detach().trigger("closed.bs.alert").remove()}var e=a(this),f=e.attr("data-target");f||(f=e.attr("href"),f=f&&f.replace(/.*(?=#[^\s]*$)/,""));var g=a(f);b&&b.preventDefault(),g.length||(g=e.closest(".alert")),g.trigger(b=a.Event("close.bs.alert")),b.isDefaultPrevented()||(g.removeClass("in"),a.support.transition&&g.hasClass("fade")?g.one("bsTransitionEnd",c).emulateTransitionEnd(d.TRANSITION_DURATION):c())};var e=a.fn.alert;a.fn.alert=b,a.fn.alert.Constructor=d,a.fn.alert.noConflict=function(){return a.fn.alert=e,this},a(document).on("click.bs.alert.data-api",c,d.prototype.close)}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.button"),f="object"==typeof b&&b;e||d.data("bs.button",e=new c(this,f)),"toggle"==b?e.toggle():b&&e.setState(b)})}var c=function(b,d){this.$element=a(b),this.options=a.extend({},c.DEFAULTS,d),this.isLoading=!1};c.VERSION="3.3.5",c.DEFAULTS={loadingText:"loading..."},c.prototype.setState=function(b){var c="disabled",d=this.$element,e=d.is("input")?"val":"html",f=d.data();b+="Text",null==f.resetText&&d.data("resetText",d[e]()),setTimeout(a.proxy(function(){d[e](null==f[b]?this.options[b]:f[b]),"loadingText"==b?(this.isLoading=!0,d.addClass(c).attr(c,c)):this.isLoading&&(this.isLoading=!1,d.removeClass(c).removeAttr(c))},this),0)},c.prototype.toggle=function(){var a=!0,b=this.$element.closest('[data-toggle="buttons"]');if(b.length){var c=this.$element.find("input");"radio"==c.prop("type")?(c.prop("checked")&&(a=!1),b.find(".active").removeClass("active"),this.$element.addClass("active")):"checkbox"==c.prop("type")&&(c.prop("checked")!==this.$element.hasClass("active")&&(a=!1),this.$element.toggleClass("active")),c.prop("checked",this.$element.hasClass("active")),a&&c.trigger("change")}else this.$element.attr("aria-pressed",!this.$element.hasClass("active")),this.$element.toggleClass("active")};var d=a.fn.button;a.fn.button=b,a.fn.button.Constructor=c,a.fn.button.noConflict=function(){return a.fn.button=d,this},a(document).on("click.bs.button.data-api",'[data-toggle^="button"]',function(c){var d=a(c.target);d.hasClass("btn")||(d=d.closest(".btn")),b.call(d,"toggle"),a(c.target).is('input[type="radio"]')||a(c.target).is('input[type="checkbox"]')||c.preventDefault()}).on("focus.bs.button.data-api blur.bs.button.data-api",'[data-toggle^="button"]',function(b){a(b.target).closest(".btn").toggleClass("focus",/^focus(in)?$/.test(b.type))})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.carousel"),f=a.extend({},c.DEFAULTS,d.data(),"object"==typeof b&&b),g="string"==typeof b?b:f.slide;e||d.data("bs.carousel",e=new c(this,f)),"number"==typeof b?e.to(b):g?e[g]():f.interval&&e.pause().cycle()})}var c=function(b,c){this.$element=a(b),this.$indicators=this.$element.find(".carousel-indicators"),this.options=c,this.paused=null,this.sliding=null,this.interval=null,this.$active=null,this.$items=null,this.options.keyboard&&this.$element.on("keydown.bs.carousel",a.proxy(this.keydown,this)),"hover"==this.options.pause&&!("ontouchstart"in document.documentElement)&&this.$element.on("mouseenter.bs.carousel",a.proxy(this.pause,this)).on("mouseleave.bs.carousel",a.proxy(this.cycle,this))};c.VERSION="3.3.5",c.TRANSITION_DURATION=600,c.DEFAULTS={interval:5e3,pause:"hover",wrap:!0,keyboard:!0},c.prototype.keydown=function(a){if(!/input|textarea/i.test(a.target.tagName)){switch(a.which){case 37:this.prev();break;case 39:this.next();break;default:return}a.preventDefault()}},c.prototype.cycle=function(b){return b||(this.paused=!1),this.interval&&clearInterval(this.interval),this.options.interval&&!this.paused&&(this.interval=setInterval(a.proxy(this.next,this),this.options.interval)),this},c.prototype.getItemIndex=function(a){return this.$items=a.parent().children(".item"),this.$items.index(a||this.$active)},c.prototype.getItemForDirection=function(a,b){var c=this.getItemIndex(b),d="prev"==a&&0===c||"next"==a&&c==this.$items.length-1;if(d&&!this.options.wrap)return b;var e="prev"==a?-1:1,f=(c+e)%this.$items.length;return this.$items.eq(f)},c.prototype.to=function(a){var b=this,c=this.getItemIndex(this.$active=this.$element.find(".item.active"));return a>this.$items.length-1||0>a?void 0:this.sliding?this.$element.one("slid.bs.carousel",function(){b.to(a)}):c==a?this.pause().cycle():this.slide(a>c?"next":"prev",this.$items.eq(a))},c.prototype.pause=function(b){return b||(this.paused=!0),this.$element.find(".next, .prev").length&&a.support.transition&&(this.$element.trigger(a.support.transition.end),this.cycle(!0)),this.interval=clearInterval(this.interval),this},c.prototype.next=function(){return this.sliding?void 0:this.slide("next")},c.prototype.prev=function(){return this.sliding?void 0:this.slide("prev")},c.prototype.slide=function(b,d){var e=this.$element.find(".item.active"),f=d||this.getItemForDirection(b,e),g=this.interval,h="next"==b?"left":"right",i=this;if(f.hasClass("active"))return this.sliding=!1;var j=f[0],k=a.Event("slide.bs.carousel",{relatedTarget:j,direction:h});if(this.$element.trigger(k),!k.isDefaultPrevented()){if(this.sliding=!0,g&&this.pause(),this.$indicators.length){this.$indicators.find(".active").removeClass("active");var l=a(this.$indicators.children()[this.getItemIndex(f)]);l&&l.addClass("active")}var m=a.Event("slid.bs.carousel",{relatedTarget:j,direction:h});return a.support.transition&&this.$element.hasClass("slide")?(f.addClass(b),f[0].offsetWidth,e.addClass(h),f.addClass(h),e.one("bsTransitionEnd",function(){f.removeClass([b,h].join(" ")).addClass("active"),e.removeClass(["active",h].join(" ")),i.sliding=!1,setTimeout(function(){i.$element.trigger(m)},0)}).emulateTransitionEnd(c.TRANSITION_DURATION)):(e.removeClass("active"),f.addClass("active"),this.sliding=!1,this.$element.trigger(m)),g&&this.cycle(),this}};var d=a.fn.carousel;a.fn.carousel=b,a.fn.carousel.Constructor=c,a.fn.carousel.noConflict=function(){return a.fn.carousel=d,this};var e=function(c){var d,e=a(this),f=a(e.attr("data-target")||(d=e.attr("href"))&&d.replace(/.*(?=#[^\s]+$)/,""));if(f.hasClass("carousel")){var g=a.extend({},f.data(),e.data()),h=e.attr("data-slide-to");h&&(g.interval=!1),b.call(f,g),h&&f.data("bs.carousel").to(h),c.preventDefault()}};a(document).on("click.bs.carousel.data-api","[data-slide]",e).on("click.bs.carousel.data-api","[data-slide-to]",e),a(window).on("load",function(){a('[data-ride="carousel"]').each(function(){var c=a(this);b.call(c,c.data())})})}(jQuery),+function(a){"use strict";function b(b){var c,d=b.attr("data-target")||(c=b.attr("href"))&&c.replace(/.*(?=#[^\s]+$)/,"");return a(d)}function c(b){return this.each(function(){var c=a(this),e=c.data("bs.collapse"),f=a.extend({},d.DEFAULTS,c.data(),"object"==typeof b&&b);!e&&f.toggle&&/show|hide/.test(b)&&(f.toggle=!1),e||c.data("bs.collapse",e=new d(this,f)),"string"==typeof b&&e[b]()})}var d=function(b,c){this.$element=a(b),this.options=a.extend({},d.DEFAULTS,c),this.$trigger=a('[data-toggle="collapse"][href="#'+b.id+'"],[data-toggle="collapse"][data-target="#'+b.id+'"]'),this.transitioning=null,this.options.parent?this.$parent=this.getParent():this.addAriaAndCollapsedClass(this.$element,this.$trigger),this.options.toggle&&this.toggle()};d.VERSION="3.3.5",d.TRANSITION_DURATION=350,d.DEFAULTS={toggle:!0},d.prototype.dimension=function(){var a=this.$element.hasClass("width");return a?"width":"height"},d.prototype.show=function(){if(!this.transitioning&&!this.$element.hasClass("in")){var b,e=this.$parent&&this.$parent.children(".panel").children(".in, .collapsing");if(!(e&&e.length&&(b=e.data("bs.collapse"),b&&b.transitioning))){var f=a.Event("show.bs.collapse");if(this.$element.trigger(f),!f.isDefaultPrevented()){e&&e.length&&(c.call(e,"hide"),b||e.data("bs.collapse",null));var g=this.dimension();this.$element.removeClass("collapse").addClass("collapsing")[g](0).attr("aria-expanded",!0),this.$trigger.removeClass("collapsed").attr("aria-expanded",!0),this.transitioning=1;var h=function(){this.$element.removeClass("collapsing").addClass("collapse in")[g](""),this.transitioning=0,this.$element.trigger("shown.bs.collapse")};if(!a.support.transition)return h.call(this);var i=a.camelCase(["scroll",g].join("-"));this.$element.one("bsTransitionEnd",a.proxy(h,this)).emulateTransitionEnd(d.TRANSITION_DURATION)[g](this.$element[0][i])}}}},d.prototype.hide=function(){if(!this.transitioning&&this.$element.hasClass("in")){var b=a.Event("hide.bs.collapse");if(this.$element.trigger(b),!b.isDefaultPrevented()){var c=this.dimension();this.$element[c](this.$element[c]())[0].offsetHeight,this.$element.addClass("collapsing").removeClass("collapse in").attr("aria-expanded",!1),this.$trigger.addClass("collapsed").attr("aria-expanded",!1),this.transitioning=1;var e=function(){this.transitioning=0,this.$element.removeClass("collapsing").addClass("collapse").trigger("hidden.bs.collapse")};return a.support.transition?void this.$element[c](0).one("bsTransitionEnd",a.proxy(e,this)).emulateTransitionEnd(d.TRANSITION_DURATION):e.call(this)}}},d.prototype.toggle=function(){this[this.$element.hasClass("in")?"hide":"show"]()},d.prototype.getParent=function(){return a(this.options.parent).find('[data-toggle="collapse"][data-parent="'+this.options.parent+'"]').each(a.proxy(function(c,d){var e=a(d);this.addAriaAndCollapsedClass(b(e),e)},this)).end()},d.prototype.addAriaAndCollapsedClass=function(a,b){var c=a.hasClass("in");a.attr("aria-expanded",c),b.toggleClass("collapsed",!c).attr("aria-expanded",c)};var e=a.fn.collapse;a.fn.collapse=c,a.fn.collapse.Constructor=d,a.fn.collapse.noConflict=function(){return a.fn.collapse=e,this},a(document).on("click.bs.collapse.data-api",'[data-toggle="collapse"]',function(d){var e=a(this);e.attr("data-target")||d.preventDefault();var f=b(e),g=f.data("bs.collapse"),h=g?"toggle":e.data();c.call(f,h)})}(jQuery),+function(a){"use strict";function b(b){var c=b.attr("data-target");c||(c=b.attr("href"),c=c&&/#[A-Za-z]/.test(c)&&c.replace(/.*(?=#[^\s]*$)/,""));var d=c&&a(c);return d&&d.length?d:b.parent()}function c(c){c&&3===c.which||(a(e).remove(),a(f).each(function(){var d=a(this),e=b(d),f={relatedTarget:this};e.hasClass("open")&&(c&&"click"==c.type&&/input|textarea/i.test(c.target.tagName)&&a.contains(e[0],c.target)||(e.trigger(c=a.Event("hide.bs.dropdown",f)),c.isDefaultPrevented()||(d.attr("aria-expanded","false"),e.removeClass("open").trigger("hidden.bs.dropdown",f))))}))}function d(b){return this.each(function(){var c=a(this),d=c.data("bs.dropdown");d||c.data("bs.dropdown",d=new g(this)),"string"==typeof b&&d[b].call(c)})}var e=".dropdown-backdrop",f='[data-toggle="dropdown"]',g=function(b){a(b).on("click.bs.dropdown",this.toggle)};g.VERSION="3.3.5",g.prototype.toggle=function(d){var e=a(this);if(!e.is(".disabled, :disabled")){var f=b(e),g=f.hasClass("open");if(c(),!g){"ontouchstart"in document.documentElement&&!f.closest(".navbar-nav").length&&a(document.createElement("div")).addClass("dropdown-backdrop").insertAfter(a(this)).on("click",c);var h={relatedTarget:this};if(f.trigger(d=a.Event("show.bs.dropdown",h)),d.isDefaultPrevented())return;e.trigger("focus").attr("aria-expanded","true"),f.toggleClass("open").trigger("shown.bs.dropdown",h)}return!1}},g.prototype.keydown=function(c){if(/(38|40|27|32)/.test(c.which)&&!/input|textarea/i.test(c.target.tagName)){var d=a(this);if(c.preventDefault(),c.stopPropagation(),!d.is(".disabled, :disabled")){var e=b(d),g=e.hasClass("open");if(!g&&27!=c.which||g&&27==c.which)return 27==c.which&&e.find(f).trigger("focus"),d.trigger("click");var h=" li:not(.disabled):visible a",i=e.find(".dropdown-menu"+h);if(i.length){var j=i.index(c.target);38==c.which&&j>0&&j--,40==c.which&&j<i.length-1&&j++,~j||(j=0),i.eq(j).trigger("focus")}}}};var h=a.fn.dropdown;a.fn.dropdown=d,a.fn.dropdown.Constructor=g,a.fn.dropdown.noConflict=function(){return a.fn.dropdown=h,this},a(document).on("click.bs.dropdown.data-api",c).on("click.bs.dropdown.data-api",".dropdown form",function(a){a.stopPropagation()}).on("click.bs.dropdown.data-api",f,g.prototype.toggle).on("keydown.bs.dropdown.data-api",f,g.prototype.keydown).on("keydown.bs.dropdown.data-api",".dropdown-menu",g.prototype.keydown)}(jQuery),+function(a){"use strict";function b(b,d){return this.each(function(){var e=a(this),f=e.data("bs.modal"),g=a.extend({},c.DEFAULTS,e.data(),"object"==typeof b&&b);f||e.data("bs.modal",f=new c(this,g)),"string"==typeof b?f[b](d):g.show&&f.show(d)})}var c=function(b,c){this.options=c,this.$body=a(document.body),this.$element=a(b),this.$dialog=this.$element.find(".modal-dialog"),this.$backdrop=null,this.isShown=null,this.originalBodyPad=null,this.scrollbarWidth=0,this.ignoreBackdropClick=!1,this.options.remote&&this.$element.find(".modal-content").load(this.options.remote,a.proxy(function(){this.$element.trigger("loaded.bs.modal")},this))};c.VERSION="3.3.5",c.TRANSITION_DURATION=300,c.BACKDROP_TRANSITION_DURATION=150,c.DEFAULTS={backdrop:!0,keyboard:!0,show:!0},c.prototype.toggle=function(a){return this.isShown?this.hide():this.show(a)},c.prototype.show=function(b){var d=this,e=a.Event("show.bs.modal",{relatedTarget:b});this.$element.trigger(e),this.isShown||e.isDefaultPrevented()||(this.isShown=!0,this.checkScrollbar(),this.setScrollbar(),this.$body.addClass("modal-open"),this.escape(),this.resize(),this.$element.on("click.dismiss.bs.modal",'[data-dismiss="modal"]',a.proxy(this.hide,this)),this.$dialog.on("mousedown.dismiss.bs.modal",function(){d.$element.one("mouseup.dismiss.bs.modal",function(b){a(b.target).is(d.$element)&&(d.ignoreBackdropClick=!0)})}),this.backdrop(function(){var e=a.support.transition&&d.$element.hasClass("fade");d.$element.parent().length||d.$element.appendTo(d.$body),d.$element.show().scrollTop(0),d.adjustDialog(),e&&d.$element[0].offsetWidth,d.$element.addClass("in"),d.enforceFocus();var f=a.Event("shown.bs.modal",{relatedTarget:b});e?d.$dialog.one("bsTransitionEnd",function(){d.$element.trigger("focus").trigger(f)}).emulateTransitionEnd(c.TRANSITION_DURATION):d.$element.trigger("focus").trigger(f)}))},c.prototype.hide=function(b){b&&b.preventDefault(),b=a.Event("hide.bs.modal"),this.$element.trigger(b),this.isShown&&!b.isDefaultPrevented()&&(this.isShown=!1,this.escape(),this.resize(),a(document).off("focusin.bs.modal"),this.$element.removeClass("in").off("click.dismiss.bs.modal").off("mouseup.dismiss.bs.modal"),this.$dialog.off("mousedown.dismiss.bs.modal"),a.support.transition&&this.$element.hasClass("fade")?this.$element.one("bsTransitionEnd",a.proxy(this.hideModal,this)).emulateTransitionEnd(c.TRANSITION_DURATION):this.hideModal())},c.prototype.enforceFocus=function(){a(document).off("focusin.bs.modal").on("focusin.bs.modal",a.proxy(function(a){this.$element[0]===a.target||this.$element.has(a.target).length||this.$element.trigger("focus")},this))},c.prototype.escape=function(){this.isShown&&this.options.keyboard?this.$element.on("keydown.dismiss.bs.modal",a.proxy(function(a){27==a.which&&this.hide()},this)):this.isShown||this.$element.off("keydown.dismiss.bs.modal")},c.prototype.resize=function(){this.isShown?a(window).on("resize.bs.modal",a.proxy(this.handleUpdate,this)):a(window).off("resize.bs.modal")},c.prototype.hideModal=function(){var a=this;this.$element.hide(),this.backdrop(function(){a.$body.removeClass("modal-open"),a.resetAdjustments(),a.resetScrollbar(),a.$element.trigger("hidden.bs.modal")})},c.prototype.removeBackdrop=function(){this.$backdrop&&this.$backdrop.remove(),this.$backdrop=null},c.prototype.backdrop=function(b){var d=this,e=this.$element.hasClass("fade")?"fade":"";if(this.isShown&&this.options.backdrop){var f=a.support.transition&&e;if(this.$backdrop=a(document.createElement("div")).addClass("modal-backdrop "+e).appendTo(this.$body),this.$element.on("click.dismiss.bs.modal",a.proxy(function(a){return this.ignoreBackdropClick?void(this.ignoreBackdropClick=!1):void(a.target===a.currentTarget&&("static"==this.options.backdrop?this.$element[0].focus():this.hide()))},this)),f&&this.$backdrop[0].offsetWidth,this.$backdrop.addClass("in"),!b)return;f?this.$backdrop.one("bsTransitionEnd",b).emulateTransitionEnd(c.BACKDROP_TRANSITION_DURATION):b()}else if(!this.isShown&&this.$backdrop){this.$backdrop.removeClass("in");var g=function(){d.removeBackdrop(),b&&b()};a.support.transition&&this.$element.hasClass("fade")?this.$backdrop.one("bsTransitionEnd",g).emulateTransitionEnd(c.BACKDROP_TRANSITION_DURATION):g()}else b&&b()},c.prototype.handleUpdate=function(){this.adjustDialog()},c.prototype.adjustDialog=function(){var a=this.$element[0].scrollHeight>document.documentElement.clientHeight;this.$element.css({paddingLeft:!this.bodyIsOverflowing&&a?this.scrollbarWidth:"",paddingRight:this.bodyIsOverflowing&&!a?this.scrollbarWidth:""})},c.prototype.resetAdjustments=function(){this.$element.css({paddingLeft:"",paddingRight:""})},c.prototype.checkScrollbar=function(){var a=window.innerWidth;if(!a){var b=document.documentElement.getBoundingClientRect();a=b.right-Math.abs(b.left)}this.bodyIsOverflowing=document.body.clientWidth<a,this.scrollbarWidth=this.measureScrollbar()},c.prototype.setScrollbar=function(){var a=parseInt(this.$body.css("padding-right")||0,10);this.originalBodyPad=document.body.style.paddingRight||"",this.bodyIsOverflowing&&this.$body.css("padding-right",a+this.scrollbarWidth)},c.prototype.resetScrollbar=function(){this.$body.css("padding-right",this.originalBodyPad)},c.prototype.measureScrollbar=function(){var a=document.createElement("div");a.className="modal-scrollbar-measure",this.$body.append(a);var b=a.offsetWidth-a.clientWidth;return this.$body[0].removeChild(a),b};var d=a.fn.modal;a.fn.modal=b,a.fn.modal.Constructor=c,a.fn.modal.noConflict=function(){return a.fn.modal=d,this},a(document).on("click.bs.modal.data-api",'[data-toggle="modal"]',function(c){var d=a(this),e=d.attr("href"),f=a(d.attr("data-target")||e&&e.replace(/.*(?=#[^\s]+$)/,"")),g=f.data("bs.modal")?"toggle":a.extend({remote:!/#/.test(e)&&e},f.data(),d.data());d.is("a")&&c.preventDefault(),f.one("show.bs.modal",function(a){a.isDefaultPrevented()||f.one("hidden.bs.modal",function(){d.is(":visible")&&d.trigger("focus")})}),b.call(f,g,this)})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.tooltip"),f="object"==typeof b&&b;(e||!/destroy|hide/.test(b))&&(e||d.data("bs.tooltip",e=new c(this,f)),"string"==typeof b&&e[b]())})}var c=function(a,b){this.type=null,this.options=null,this.enabled=null,this.timeout=null,this.hoverState=null,this.$element=null,this.inState=null,this.init("tooltip",a,b)};c.VERSION="3.3.5",c.TRANSITION_DURATION=150,c.DEFAULTS={animation:!0,placement:"top",selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',trigger:"hover focus",title:"",delay:0,html:!1,container:!1,viewport:{selector:"body",padding:0}},c.prototype.init=function(b,c,d){if(this.enabled=!0,this.type=b,this.$element=a(c),this.options=this.getOptions(d),this.$viewport=this.options.viewport&&a(a.isFunction(this.options.viewport)?this.options.viewport.call(this,this.$element):this.options.viewport.selector||this.options.viewport),this.inState={click:!1,hover:!1,focus:!1},this.$element[0]instanceof document.constructor&&!this.options.selector)throw new Error("`selector` option must be specified when initializing "+this.type+" on the window.document object!");for(var e=this.options.trigger.split(" "),f=e.length;f--;){var g=e[f];if("click"==g)this.$element.on("click."+this.type,this.options.selector,a.proxy(this.toggle,this));else if("manual"!=g){var h="hover"==g?"mouseenter":"focusin",i="hover"==g?"mouseleave":"focusout";this.$element.on(h+"."+this.type,this.options.selector,a.proxy(this.enter,this)),this.$element.on(i+"."+this.type,this.options.selector,a.proxy(this.leave,this))}}this.options.selector?this._options=a.extend({},this.options,{trigger:"manual",selector:""}):this.fixTitle()},c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.getOptions=function(b){return b=a.extend({},this.getDefaults(),this.$element.data(),b),b.delay&&"number"==typeof b.delay&&(b.delay={show:b.delay,hide:b.delay}),b},c.prototype.getDelegateOptions=function(){var b={},c=this.getDefaults();return this._options&&a.each(this._options,function(a,d){c[a]!=d&&(b[a]=d)}),b},c.prototype.enter=function(b){var c=b instanceof this.constructor?b:a(b.currentTarget).data("bs."+this.type);return c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c)),b instanceof a.Event&&(c.inState["focusin"==b.type?"focus":"hover"]=!0),c.tip().hasClass("in")||"in"==c.hoverState?void(c.hoverState="in"):(clearTimeout(c.timeout),c.hoverState="in",c.options.delay&&c.options.delay.show?void(c.timeout=setTimeout(function(){"in"==c.hoverState&&c.show()},c.options.delay.show)):c.show())},c.prototype.isInStateTrue=function(){for(var a in this.inState)if(this.inState[a])return!0;return!1},c.prototype.leave=function(b){var c=b instanceof this.constructor?b:a(b.currentTarget).data("bs."+this.type);return c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c)),b instanceof a.Event&&(c.inState["focusout"==b.type?"focus":"hover"]=!1),c.isInStateTrue()?void 0:(clearTimeout(c.timeout),c.hoverState="out",c.options.delay&&c.options.delay.hide?void(c.timeout=setTimeout(function(){"out"==c.hoverState&&c.hide()},c.options.delay.hide)):c.hide())},c.prototype.show=function(){var b=a.Event("show.bs."+this.type);if(this.hasContent()&&this.enabled){this.$element.trigger(b);var d=a.contains(this.$element[0].ownerDocument.documentElement,this.$element[0]);if(b.isDefaultPrevented()||!d)return;var e=this,f=this.tip(),g=this.getUID(this.type);this.setContent(),f.attr("id",g),this.$element.attr("aria-describedby",g),this.options.animation&&f.addClass("fade");var h="function"==typeof this.options.placement?this.options.placement.call(this,f[0],this.$element[0]):this.options.placement,i=/\s?auto?\s?/i,j=i.test(h);j&&(h=h.replace(i,"")||"top"),f.detach().css({top:0,left:0,display:"block"}).addClass(h).data("bs."+this.type,this),this.options.container?f.appendTo(this.options.container):f.insertAfter(this.$element),this.$element.trigger("inserted.bs."+this.type);var k=this.getPosition(),l=f[0].offsetWidth,m=f[0].offsetHeight;if(j){var n=h,o=this.getPosition(this.$viewport);h="bottom"==h&&k.bottom+m>o.bottom?"top":"top"==h&&k.top-m<o.top?"bottom":"right"==h&&k.right+l>o.width?"left":"left"==h&&k.left-l<o.left?"right":h,f.removeClass(n).addClass(h)}var p=this.getCalculatedOffset(h,k,l,m);this.applyPlacement(p,h);var q=function(){var a=e.hoverState;e.$element.trigger("shown.bs."+e.type),e.hoverState=null,"out"==a&&e.leave(e)};a.support.transition&&this.$tip.hasClass("fade")?f.one("bsTransitionEnd",q).emulateTransitionEnd(c.TRANSITION_DURATION):q()}},c.prototype.applyPlacement=function(b,c){var d=this.tip(),e=d[0].offsetWidth,f=d[0].offsetHeight,g=parseInt(d.css("margin-top"),10),h=parseInt(d.css("margin-left"),10);isNaN(g)&&(g=0),isNaN(h)&&(h=0),b.top+=g,b.left+=h,a.offset.setOffset(d[0],a.extend({using:function(a){d.css({top:Math.round(a.top),left:Math.round(a.left)})}},b),0),d.addClass("in");var i=d[0].offsetWidth,j=d[0].offsetHeight;"top"==c&&j!=f&&(b.top=b.top+f-j);var k=this.getViewportAdjustedDelta(c,b,i,j);k.left?b.left+=k.left:b.top+=k.top;var l=/top|bottom/.test(c),m=l?2*k.left-e+i:2*k.top-f+j,n=l?"offsetWidth":"offsetHeight";d.offset(b),this.replaceArrow(m,d[0][n],l)},c.prototype.replaceArrow=function(a,b,c){this.arrow().css(c?"left":"top",50*(1-a/b)+"%").css(c?"top":"left","")},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle();a.find(".tooltip-inner")[this.options.html?"html":"text"](b),a.removeClass("fade in top bottom left right")},c.prototype.hide=function(b){function d(){"in"!=e.hoverState&&f.detach(),e.$element.removeAttr("aria-describedby").trigger("hidden.bs."+e.type),b&&b()}var e=this,f=a(this.$tip),g=a.Event("hide.bs."+this.type);return this.$element.trigger(g),g.isDefaultPrevented()?void 0:(f.removeClass("in"),a.support.transition&&f.hasClass("fade")?f.one("bsTransitionEnd",d).emulateTransitionEnd(c.TRANSITION_DURATION):d(),this.hoverState=null,this)},c.prototype.fixTitle=function(){var a=this.$element;(a.attr("title")||"string"!=typeof a.attr("data-original-title"))&&a.attr("data-original-title",a.attr("title")||"").attr("title","")},c.prototype.hasContent=function(){return this.getTitle()},c.prototype.getPosition=function(b){b=b||this.$element;var c=b[0],d="BODY"==c.tagName,e=c.getBoundingClientRect();null==e.width&&(e=a.extend({},e,{width:e.right-e.left,height:e.bottom-e.top}));var f=d?{top:0,left:0}:b.offset(),g={scroll:d?document.documentElement.scrollTop||document.body.scrollTop:b.scrollTop()},h=d?{width:a(window).width(),height:a(window).height()}:null;return a.extend({},e,g,h,f)},c.prototype.getCalculatedOffset=function(a,b,c,d){return"bottom"==a?{top:b.top+b.height,left:b.left+b.width/2-c/2}:"top"==a?{top:b.top-d,left:b.left+b.width/2-c/2}:"left"==a?{top:b.top+b.height/2-d/2,left:b.left-c}:{top:b.top+b.height/2-d/2,left:b.left+b.width}},c.prototype.getViewportAdjustedDelta=function(a,b,c,d){var e={top:0,left:0};if(!this.$viewport)return e;var f=this.options.viewport&&this.options.viewport.padding||0,g=this.getPosition(this.$viewport);if(/right|left/.test(a)){var h=b.top-f-g.scroll,i=b.top+f-g.scroll+d;h<g.top?e.top=g.top-h:i>g.top+g.height&&(e.top=g.top+g.height-i)}else{var j=b.left-f,k=b.left+f+c;j<g.left?e.left=g.left-j:k>g.right&&(e.left=g.left+g.width-k)}return e},c.prototype.getTitle=function(){var a,b=this.$element,c=this.options;return a=b.attr("data-original-title")||("function"==typeof c.title?c.title.call(b[0]):c.title)},c.prototype.getUID=function(a){do a+=~~(1e6*Math.random());while(document.getElementById(a));return a},c.prototype.tip=function(){if(!this.$tip&&(this.$tip=a(this.options.template),1!=this.$tip.length))throw new Error(this.type+" `template` option must consist of exactly 1 top-level element!");return this.$tip},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".tooltip-arrow")},c.prototype.enable=function(){this.enabled=!0},c.prototype.disable=function(){this.enabled=!1},c.prototype.toggleEnabled=function(){this.enabled=!this.enabled},c.prototype.toggle=function(b){var c=this;b&&(c=a(b.currentTarget).data("bs."+this.type),c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c))),b?(c.inState.click=!c.inState.click,c.isInStateTrue()?c.enter(c):c.leave(c)):c.tip().hasClass("in")?c.leave(c):c.enter(c)},c.prototype.destroy=function(){var a=this;clearTimeout(this.timeout),this.hide(function(){a.$element.off("."+a.type).removeData("bs."+a.type),a.$tip&&a.$tip.detach(),a.$tip=null,a.$arrow=null,a.$viewport=null})};var d=a.fn.tooltip;a.fn.tooltip=b,a.fn.tooltip.Constructor=c,a.fn.tooltip.noConflict=function(){return a.fn.tooltip=d,this}}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.popover"),f="object"==typeof b&&b;(e||!/destroy|hide/.test(b))&&(e||d.data("bs.popover",e=new c(this,f)),"string"==typeof b&&e[b]())})}var c=function(a,b){this.init("popover",a,b)};if(!a.fn.tooltip)throw new Error("Popover requires tooltip.js");c.VERSION="3.3.5",c.DEFAULTS=a.extend({},a.fn.tooltip.Constructor.DEFAULTS,{placement:"right",trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="arrow"></div><h3 class="popover-title"></h3><div class="popover-content"></div></div>'}),c.prototype=a.extend({},a.fn.tooltip.Constructor.prototype),c.prototype.constructor=c,c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle(),c=this.getContent();a.find(".popover-title")[this.options.html?"html":"text"](b),a.find(".popover-content").children().detach().end()[this.options.html?"string"==typeof c?"html":"append":"text"](c),a.removeClass("fade top bottom left right in"),a.find(".popover-title").html()||a.find(".popover-title").hide()},c.prototype.hasContent=function(){return this.getTitle()||this.getContent()},c.prototype.getContent=function(){var a=this.$element,b=this.options;return a.attr("data-content")||("function"==typeof b.content?b.content.call(a[0]):b.content)},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".arrow")};var d=a.fn.popover;a.fn.popover=b,a.fn.popover.Constructor=c,a.fn.popover.noConflict=function(){return a.fn.popover=d,this}}(jQuery),+function(a){"use strict";function b(c,d){this.$body=a(document.body),this.$scrollElement=a(a(c).is(document.body)?window:c),this.options=a.extend({},b.DEFAULTS,d),this.selector=(this.options.target||"")+" .nav li > a",this.offsets=[],this.targets=[],this.activeTarget=null,this.scrollHeight=0,this.$scrollElement.on("scroll.bs.scrollspy",a.proxy(this.process,this)),this.refresh(),this.process()}function c(c){return this.each(function(){var d=a(this),e=d.data("bs.scrollspy"),f="object"==typeof c&&c;e||d.data("bs.scrollspy",e=new b(this,f)),"string"==typeof c&&e[c]()})}b.VERSION="3.3.5",b.DEFAULTS={offset:10},b.prototype.getScrollHeight=function(){return this.$scrollElement[0].scrollHeight||Math.max(this.$body[0].scrollHeight,document.documentElement.scrollHeight)},b.prototype.refresh=function(){var b=this,c="offset",d=0;this.offsets=[],this.targets=[],this.scrollHeight=this.getScrollHeight(),a.isWindow(this.$scrollElement[0])||(c="position",d=this.$scrollElement.scrollTop()),this.$body.find(this.selector).map(function(){var b=a(this),e=b.data("target")||b.attr("href"),f=/^#./.test(e)&&a(e);return f&&f.length&&f.is(":visible")&&[[f[c]().top+d,e]]||null}).sort(function(a,b){return a[0]-b[0]}).each(function(){b.offsets.push(this[0]),b.targets.push(this[1])})},b.prototype.process=function(){var a,b=this.$scrollElement.scrollTop()+this.options.offset,c=this.getScrollHeight(),d=this.options.offset+c-this.$scrollElement.height(),e=this.offsets,f=this.targets,g=this.activeTarget;if(this.scrollHeight!=c&&this.refresh(),b>=d)return g!=(a=f[f.length-1])&&this.activate(a);if(g&&b<e[0])return this.activeTarget=null,this.clear();for(a=e.length;a--;)g!=f[a]&&b>=e[a]&&(void 0===e[a+1]||b<e[a+1])&&this.activate(f[a])},b.prototype.activate=function(b){this.activeTarget=b,this.clear();var c=this.selector+'[data-target="'+b+'"],'+this.selector+'[href="'+b+'"]',d=a(c).parents("li").addClass("active");d.parent(".dropdown-menu").length&&(d=d.closest("li.dropdown").addClass("active")),
+d.trigger("activate.bs.scrollspy")},b.prototype.clear=function(){a(this.selector).parentsUntil(this.options.target,".active").removeClass("active")};var d=a.fn.scrollspy;a.fn.scrollspy=c,a.fn.scrollspy.Constructor=b,a.fn.scrollspy.noConflict=function(){return a.fn.scrollspy=d,this},a(window).on("load.bs.scrollspy.data-api",function(){a('[data-spy="scroll"]').each(function(){var b=a(this);c.call(b,b.data())})})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.tab");e||d.data("bs.tab",e=new c(this)),"string"==typeof b&&e[b]()})}var c=function(b){this.element=a(b)};c.VERSION="3.3.5",c.TRANSITION_DURATION=150,c.prototype.show=function(){var b=this.element,c=b.closest("ul:not(.dropdown-menu)"),d=b.data("target");if(d||(d=b.attr("href"),d=d&&d.replace(/.*(?=#[^\s]*$)/,"")),!b.parent("li").hasClass("active")){var e=c.find(".active:last a"),f=a.Event("hide.bs.tab",{relatedTarget:b[0]}),g=a.Event("show.bs.tab",{relatedTarget:e[0]});if(e.trigger(f),b.trigger(g),!g.isDefaultPrevented()&&!f.isDefaultPrevented()){var h=a(d);this.activate(b.closest("li"),c),this.activate(h,h.parent(),function(){e.trigger({type:"hidden.bs.tab",relatedTarget:b[0]}),b.trigger({type:"shown.bs.tab",relatedTarget:e[0]})})}}},c.prototype.activate=function(b,d,e){function f(){g.removeClass("active").find("> .dropdown-menu > .active").removeClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!1),b.addClass("active").find('[data-toggle="tab"]').attr("aria-expanded",!0),h?(b[0].offsetWidth,b.addClass("in")):b.removeClass("fade"),b.parent(".dropdown-menu").length&&b.closest("li.dropdown").addClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!0),e&&e()}var g=d.find("> .active"),h=e&&a.support.transition&&(g.length&&g.hasClass("fade")||!!d.find("> .fade").length);g.length&&h?g.one("bsTransitionEnd",f).emulateTransitionEnd(c.TRANSITION_DURATION):f(),g.removeClass("in")};var d=a.fn.tab;a.fn.tab=b,a.fn.tab.Constructor=c,a.fn.tab.noConflict=function(){return a.fn.tab=d,this};var e=function(c){c.preventDefault(),b.call(a(this),"show")};a(document).on("click.bs.tab.data-api",'[data-toggle="tab"]',e).on("click.bs.tab.data-api",'[data-toggle="pill"]',e)}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.affix"),f="object"==typeof b&&b;e||d.data("bs.affix",e=new c(this,f)),"string"==typeof b&&e[b]()})}var c=function(b,d){this.options=a.extend({},c.DEFAULTS,d),this.$target=a(this.options.target).on("scroll.bs.affix.data-api",a.proxy(this.checkPosition,this)).on("click.bs.affix.data-api",a.proxy(this.checkPositionWithEventLoop,this)),this.$element=a(b),this.affixed=null,this.unpin=null,this.pinnedOffset=null,this.checkPosition()};c.VERSION="3.3.5",c.RESET="affix affix-top affix-bottom",c.DEFAULTS={offset:0,target:window},c.prototype.getState=function(a,b,c,d){var e=this.$target.scrollTop(),f=this.$element.offset(),g=this.$target.height();if(null!=c&&"top"==this.affixed)return c>e?"top":!1;if("bottom"==this.affixed)return null!=c?e+this.unpin<=f.top?!1:"bottom":a-d>=e+g?!1:"bottom";var h=null==this.affixed,i=h?e:f.top,j=h?g:b;return null!=c&&c>=e?"top":null!=d&&i+j>=a-d?"bottom":!1},c.prototype.getPinnedOffset=function(){if(this.pinnedOffset)return this.pinnedOffset;this.$element.removeClass(c.RESET).addClass("affix");var a=this.$target.scrollTop(),b=this.$element.offset();return this.pinnedOffset=b.top-a},c.prototype.checkPositionWithEventLoop=function(){setTimeout(a.proxy(this.checkPosition,this),1)},c.prototype.checkPosition=function(){if(this.$element.is(":visible")){var b=this.$element.height(),d=this.options.offset,e=d.top,f=d.bottom,g=Math.max(a(document).height(),a(document.body).height());"object"!=typeof d&&(f=e=d),"function"==typeof e&&(e=d.top(this.$element)),"function"==typeof f&&(f=d.bottom(this.$element));var h=this.getState(g,b,e,f);if(this.affixed!=h){null!=this.unpin&&this.$element.css("top","");var i="affix"+(h?"-"+h:""),j=a.Event(i+".bs.affix");if(this.$element.trigger(j),j.isDefaultPrevented())return;this.affixed=h,this.unpin="bottom"==h?this.getPinnedOffset():null,this.$element.removeClass(c.RESET).addClass(i).trigger(i.replace("affix","affixed")+".bs.affix")}"bottom"==h&&this.$element.offset({top:g-b-f})}};var d=a.fn.affix;a.fn.affix=b,a.fn.affix.Constructor=c,a.fn.affix.noConflict=function(){return a.fn.affix=d,this},a(window).on("load",function(){a('[data-spy="affix"]').each(function(){var c=a(this),d=c.data();d.offset=d.offset||{},null!=d.offsetBottom&&(d.offset.bottom=d.offsetBottom),null!=d.offsetTop&&(d.offset.top=d.offsetTop),b.call(c,d)})})}(jQuery);</script>
+<script>/**
+* @preserve HTML5 Shiv 3.7.2 | @afarkas @jdalton @jon_neal @rem | MIT/GPL2 Licensed
+*/
+// Only run this code in IE 8
+if (!!window.navigator.userAgent.match("MSIE 8")) {
+!function(a,b){function c(a,b){var c=a.createElement("p"),d=a.getElementsByTagName("head")[0]||a.documentElement;return c.innerHTML="x<style>"+b+"</style>",d.insertBefore(c.lastChild,d.firstChild)}function d(){var a=t.elements;return"string"==typeof a?a.split(" "):a}function e(a,b){var c=t.elements;"string"!=typeof c&&(c=c.join(" ")),"string"!=typeof a&&(a=a.join(" ")),t.elements=c+" "+a,j(b)}function f(a){var b=s[a[q]];return b||(b={},r++,a[q]=r,s[r]=b),b}function g(a,c,d){if(c||(c=b),l)return c.createElement(a);d||(d=f(c));var e;return e=d.cache[a]?d.cache[a].cloneNode():p.test(a)?(d.cache[a]=d.createElem(a)).cloneNode():d.createElem(a),!e.canHaveChildren||o.test(a)||e.tagUrn?e:d.frag.appendChild(e)}function h(a,c){if(a||(a=b),l)return a.createDocumentFragment();c=c||f(a);for(var e=c.frag.cloneNode(),g=0,h=d(),i=h.length;i>g;g++)e.createElement(h[g]);return e}function i(a,b){b.cache||(b.cache={},b.createElem=a.createElement,b.createFrag=a.createDocumentFragment,b.frag=b.createFrag()),a.createElement=function(c){return t.shivMethods?g(c,a,b):b.createElem(c)},a.createDocumentFragment=Function("h,f","return function(){var n=f.cloneNode(),c=n.createElement;h.shivMethods&&("+d().join().replace(/[\w\-:]+/g,function(a){return b.createElem(a),b.frag.createElement(a),'c("'+a+'")'})+");return n}")(t,b.frag)}function j(a){a||(a=b);var d=f(a);return!t.shivCSS||k||d.hasCSS||(d.hasCSS=!!c(a,"article,aside,dialog,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}mark{background:#FF0;color:#000}template{display:none}")),l||i(a,d),a}var k,l,m="3.7.2",n=a.html5||{},o=/^<|^(?:button|map|select|textarea|object|iframe|option|optgroup)$/i,p=/^(?:a|b|code|div|fieldset|h1|h2|h3|h4|h5|h6|i|label|li|ol|p|q|span|strong|style|table|tbody|td|th|tr|ul)$/i,q="_html5shiv",r=0,s={};!function(){try{var a=b.createElement("a");a.innerHTML="<xyz></xyz>",k="hidden"in a,l=1==a.childNodes.length||function(){b.createElement("a");var a=b.createDocumentFragment();return"undefined"==typeof a.cloneNode||"undefined"==typeof a.createDocumentFragment||"undefined"==typeof a.createElement}()}catch(c){k=!0,l=!0}}();var t={elements:n.elements||"abbr article aside audio bdi canvas data datalist details dialog figcaption figure footer header hgroup main mark meter nav output picture progress section summary template time video",version:m,shivCSS:n.shivCSS!==!1,supportsUnknownElements:l,shivMethods:n.shivMethods!==!1,type:"default",shivDocument:j,createElement:g,createDocumentFragment:h,addElements:e};a.html5=t,j(b)}(this,document);
+};
+</script>
+<script>/*! Respond.js v1.4.2: min/max-width media query polyfill * Copyright 2013 Scott Jehl
+ * Licensed under https://github.com/scottjehl/Respond/blob/master/LICENSE-MIT
+ *  */
+
+// Only run this code in IE 8
+if (!!window.navigator.userAgent.match("MSIE 8")) {
+!function(a){"use strict";a.matchMedia=a.matchMedia||function(a){var b,c=a.documentElement,d=c.firstElementChild||c.firstChild,e=a.createElement("body"),f=a.createElement("div");return f.id="mq-test-1",f.style.cssText="position:absolute;top:-100em",e.style.background="none",e.appendChild(f),function(a){return f.innerHTML='&shy;<style media="'+a+'"> #mq-test-1 { width: 42px; }</style>',c.insertBefore(e,d),b=42===f.offsetWidth,c.removeChild(e),{matches:b,media:a}}}(a.document)}(this),function(a){"use strict";function b(){u(!0)}var c={};a.respond=c,c.update=function(){};var d=[],e=function(){var b=!1;try{b=new a.XMLHttpRequest}catch(c){b=new a.ActiveXObject("Microsoft.XMLHTTP")}return function(){return b}}(),f=function(a,b){var c=e();c&&(c.open("GET",a,!0),c.onreadystatechange=function(){4!==c.readyState||200!==c.status&&304!==c.status||b(c.responseText)},4!==c.readyState&&c.send(null))};if(c.ajax=f,c.queue=d,c.regex={media:/@media[^\{]+\{([^\{\}]*\{[^\}\{]*\})+/gi,keyframes:/@(?:\-(?:o|moz|webkit)\-)?keyframes[^\{]+\{(?:[^\{\}]*\{[^\}\{]*\})+[^\}]*\}/gi,urls:/(url\()['"]?([^\/\)'"][^:\)'"]+)['"]?(\))/g,findStyles:/@media *([^\{]+)\{([\S\s]+?)$/,only:/(only\s+)?([a-zA-Z]+)\s?/,minw:/\([\s]*min\-width\s*:[\s]*([\s]*[0-9\.]+)(px|em)[\s]*\)/,maxw:/\([\s]*max\-width\s*:[\s]*([\s]*[0-9\.]+)(px|em)[\s]*\)/},c.mediaQueriesSupported=a.matchMedia&&null!==a.matchMedia("only all")&&a.matchMedia("only all").matches,!c.mediaQueriesSupported){var g,h,i,j=a.document,k=j.documentElement,l=[],m=[],n=[],o={},p=30,q=j.getElementsByTagName("head")[0]||k,r=j.getElementsByTagName("base")[0],s=q.getElementsByTagName("link"),t=function(){var a,b=j.createElement("div"),c=j.body,d=k.style.fontSize,e=c&&c.style.fontSize,f=!1;return b.style.cssText="position:absolute;font-size:1em;width:1em",c||(c=f=j.createElement("body"),c.style.background="none"),k.style.fontSize="100%",c.style.fontSize="100%",c.appendChild(b),f&&k.insertBefore(c,k.firstChild),a=b.offsetWidth,f?k.removeChild(c):c.removeChild(b),k.style.fontSize=d,e&&(c.style.fontSize=e),a=i=parseFloat(a)},u=function(b){var c="clientWidth",d=k[c],e="CSS1Compat"===j.compatMode&&d||j.body[c]||d,f={},o=s[s.length-1],r=(new Date).getTime();if(b&&g&&p>r-g)return a.clearTimeout(h),h=a.setTimeout(u,p),void 0;g=r;for(var v in l)if(l.hasOwnProperty(v)){var w=l[v],x=w.minw,y=w.maxw,z=null===x,A=null===y,B="em";x&&(x=parseFloat(x)*(x.indexOf(B)>-1?i||t():1)),y&&(y=parseFloat(y)*(y.indexOf(B)>-1?i||t():1)),w.hasquery&&(z&&A||!(z||e>=x)||!(A||y>=e))||(f[w.media]||(f[w.media]=[]),f[w.media].push(m[w.rules]))}for(var C in n)n.hasOwnProperty(C)&&n[C]&&n[C].parentNode===q&&q.removeChild(n[C]);n.length=0;for(var D in f)if(f.hasOwnProperty(D)){var E=j.createElement("style"),F=f[D].join("\n");E.type="text/css",E.media=D,q.insertBefore(E,o.nextSibling),E.styleSheet?E.styleSheet.cssText=F:E.appendChild(j.createTextNode(F)),n.push(E)}},v=function(a,b,d){var e=a.replace(c.regex.keyframes,"").match(c.regex.media),f=e&&e.length||0;b=b.substring(0,b.lastIndexOf("/"));var g=function(a){return a.replace(c.regex.urls,"$1"+b+"$2$3")},h=!f&&d;b.length&&(b+="/"),h&&(f=1);for(var i=0;f>i;i++){var j,k,n,o;h?(j=d,m.push(g(a))):(j=e[i].match(c.regex.findStyles)&&RegExp.$1,m.push(RegExp.$2&&g(RegExp.$2))),n=j.split(","),o=n.length;for(var p=0;o>p;p++)k=n[p],l.push({media:k.split("(")[0].match(c.regex.only)&&RegExp.$2||"all",rules:m.length-1,hasquery:k.indexOf("(")>-1,minw:k.match(c.regex.minw)&&parseFloat(RegExp.$1)+(RegExp.$2||""),maxw:k.match(c.regex.maxw)&&parseFloat(RegExp.$1)+(RegExp.$2||"")})}u()},w=function(){if(d.length){var b=d.shift();f(b.href,function(c){v(c,b.href,b.media),o[b.href]=!0,a.setTimeout(function(){w()},0)})}},x=function(){for(var b=0;b<s.length;b++){var c=s[b],e=c.href,f=c.media,g=c.rel&&"stylesheet"===c.rel.toLowerCase();e&&g&&!o[e]&&(c.styleSheet&&c.styleSheet.rawCssText?(v(c.styleSheet.rawCssText,e,f),o[e]=!0):(!/^([a-zA-Z:]*\/\/)/.test(e)&&!r||e.replace(RegExp.$1,"").split("/")[0]===a.location.host)&&("//"===e.substring(0,2)&&(e=a.location.protocol+e),d.push({href:e,media:f})))}w()};x(),c.update=x,c.getEmValue=t,a.addEventListener?a.addEventListener("resize",b,!1):a.attachEvent&&a.attachEvent("onresize",b)}}(this);
+};
+</script>
+<style>h1 {font-size: 34px;}
+       h1.title {font-size: 38px;}
+       h2 {font-size: 30px;}
+       h3 {font-size: 24px;}
+       h4 {font-size: 18px;}
+       h5 {font-size: 16px;}
+       h6 {font-size: 12px;}
+       code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
+       pre:not([class]) { background-color: white }</style>
+<script>/*! jQuery UI - v1.11.4 - 2016-01-05
+* http://jqueryui.com
+* Includes: core.js, widget.js, mouse.js, position.js, draggable.js, droppable.js, resizable.js, selectable.js, sortable.js, accordion.js, autocomplete.js, button.js, dialog.js, menu.js, progressbar.js, selectmenu.js, slider.js, spinner.js, tabs.js, tooltip.js, effect.js, effect-blind.js, effect-bounce.js, effect-clip.js, effect-drop.js, effect-explode.js, effect-fade.js, effect-fold.js, effect-highlight.js, effect-puff.js, effect-pulsate.js, effect-scale.js, effect-shake.js, effect-size.js, effect-slide.js, effect-transfer.js
+* Copyright jQuery Foundation and other contributors; Licensed MIT */
+
+(function(e){"function"==typeof define&&define.amd?define(["jquery"],e):e(jQuery)})(function(e){function t(t,s){var n,a,o,r=t.nodeName.toLowerCase();return"area"===r?(n=t.parentNode,a=n.name,t.href&&a&&"map"===n.nodeName.toLowerCase()?(o=e("img[usemap='#"+a+"']")[0],!!o&&i(o)):!1):(/^(input|select|textarea|button|object)$/.test(r)?!t.disabled:"a"===r?t.href||s:s)&&i(t)}function i(t){return e.expr.filters.visible(t)&&!e(t).parents().addBack().filter(function(){return"hidden"===e.css(this,"visibility")}).length}function s(e){return function(){var t=this.element.val();e.apply(this,arguments),this._refresh(),t!==this.element.val()&&this._trigger("change")}}e.ui=e.ui||{},e.extend(e.ui,{version:"1.11.4",keyCode:{BACKSPACE:8,COMMA:188,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,HOME:36,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,PERIOD:190,RIGHT:39,SPACE:32,TAB:9,UP:38}}),e.fn.extend({scrollParent:function(t){var i=this.css("position"),s="absolute"===i,n=t?/(auto|scroll|hidden)/:/(auto|scroll)/,a=this.parents().filter(function(){var t=e(this);return s&&"static"===t.css("position")?!1:n.test(t.css("overflow")+t.css("overflow-y")+t.css("overflow-x"))}).eq(0);return"fixed"!==i&&a.length?a:e(this[0].ownerDocument||document)},uniqueId:function(){var e=0;return function(){return this.each(function(){this.id||(this.id="ui-id-"+ ++e)})}}(),removeUniqueId:function(){return this.each(function(){/^ui-id-\d+$/.test(this.id)&&e(this).removeAttr("id")})}}),e.extend(e.expr[":"],{data:e.expr.createPseudo?e.expr.createPseudo(function(t){return function(i){return!!e.data(i,t)}}):function(t,i,s){return!!e.data(t,s[3])},focusable:function(i){return t(i,!isNaN(e.attr(i,"tabindex")))},tabbable:function(i){var s=e.attr(i,"tabindex"),n=isNaN(s);return(n||s>=0)&&t(i,!n)}}),e("<a>").outerWidth(1).jquery||e.each(["Width","Height"],function(t,i){function s(t,i,s,a){return e.each(n,function(){i-=parseFloat(e.css(t,"padding"+this))||0,s&&(i-=parseFloat(e.css(t,"border"+this+"Width"))||0),a&&(i-=parseFloat(e.css(t,"margin"+this))||0)}),i}var n="Width"===i?["Left","Right"]:["Top","Bottom"],a=i.toLowerCase(),o={innerWidth:e.fn.innerWidth,innerHeight:e.fn.innerHeight,outerWidth:e.fn.outerWidth,outerHeight:e.fn.outerHeight};e.fn["inner"+i]=function(t){return void 0===t?o["inner"+i].call(this):this.each(function(){e(this).css(a,s(this,t)+"px")})},e.fn["outer"+i]=function(t,n){return"number"!=typeof t?o["outer"+i].call(this,t):this.each(function(){e(this).css(a,s(this,t,!0,n)+"px")})}}),e.fn.addBack||(e.fn.addBack=function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}),e("<a>").data("a-b","a").removeData("a-b").data("a-b")&&(e.fn.removeData=function(t){return function(i){return arguments.length?t.call(this,e.camelCase(i)):t.call(this)}}(e.fn.removeData)),e.ui.ie=!!/msie [\w.]+/.exec(navigator.userAgent.toLowerCase()),e.fn.extend({focus:function(t){return function(i,s){return"number"==typeof i?this.each(function(){var t=this;setTimeout(function(){e(t).focus(),s&&s.call(t)},i)}):t.apply(this,arguments)}}(e.fn.focus),disableSelection:function(){var e="onselectstart"in document.createElement("div")?"selectstart":"mousedown";return function(){return this.bind(e+".ui-disableSelection",function(e){e.preventDefault()})}}(),enableSelection:function(){return this.unbind(".ui-disableSelection")},zIndex:function(t){if(void 0!==t)return this.css("zIndex",t);if(this.length)for(var i,s,n=e(this[0]);n.length&&n[0]!==document;){if(i=n.css("position"),("absolute"===i||"relative"===i||"fixed"===i)&&(s=parseInt(n.css("zIndex"),10),!isNaN(s)&&0!==s))return s;n=n.parent()}return 0}}),e.ui.plugin={add:function(t,i,s){var n,a=e.ui[t].prototype;for(n in s)a.plugins[n]=a.plugins[n]||[],a.plugins[n].push([i,s[n]])},call:function(e,t,i,s){var n,a=e.plugins[t];if(a&&(s||e.element[0].parentNode&&11!==e.element[0].parentNode.nodeType))for(n=0;a.length>n;n++)e.options[a[n][0]]&&a[n][1].apply(e.element,i)}};var n=0,a=Array.prototype.slice;e.cleanData=function(t){return function(i){var s,n,a;for(a=0;null!=(n=i[a]);a++)try{s=e._data(n,"events"),s&&s.remove&&e(n).triggerHandler("remove")}catch(o){}t(i)}}(e.cleanData),e.widget=function(t,i,s){var n,a,o,r,h={},l=t.split(".")[0];return t=t.split(".")[1],n=l+"-"+t,s||(s=i,i=e.Widget),e.expr[":"][n.toLowerCase()]=function(t){return!!e.data(t,n)},e[l]=e[l]||{},a=e[l][t],o=e[l][t]=function(e,t){return this._createWidget?(arguments.length&&this._createWidget(e,t),void 0):new o(e,t)},e.extend(o,a,{version:s.version,_proto:e.extend({},s),_childConstructors:[]}),r=new i,r.options=e.widget.extend({},r.options),e.each(s,function(t,s){return e.isFunction(s)?(h[t]=function(){var e=function(){return i.prototype[t].apply(this,arguments)},n=function(e){return i.prototype[t].apply(this,e)};return function(){var t,i=this._super,a=this._superApply;return this._super=e,this._superApply=n,t=s.apply(this,arguments),this._super=i,this._superApply=a,t}}(),void 0):(h[t]=s,void 0)}),o.prototype=e.widget.extend(r,{widgetEventPrefix:a?r.widgetEventPrefix||t:t},h,{constructor:o,namespace:l,widgetName:t,widgetFullName:n}),a?(e.each(a._childConstructors,function(t,i){var s=i.prototype;e.widget(s.namespace+"."+s.widgetName,o,i._proto)}),delete a._childConstructors):i._childConstructors.push(o),e.widget.bridge(t,o),o},e.widget.extend=function(t){for(var i,s,n=a.call(arguments,1),o=0,r=n.length;r>o;o++)for(i in n[o])s=n[o][i],n[o].hasOwnProperty(i)&&void 0!==s&&(t[i]=e.isPlainObject(s)?e.isPlainObject(t[i])?e.widget.extend({},t[i],s):e.widget.extend({},s):s);return t},e.widget.bridge=function(t,i){var s=i.prototype.widgetFullName||t;e.fn[t]=function(n){var o="string"==typeof n,r=a.call(arguments,1),h=this;return o?this.each(function(){var i,a=e.data(this,s);return"instance"===n?(h=a,!1):a?e.isFunction(a[n])&&"_"!==n.charAt(0)?(i=a[n].apply(a,r),i!==a&&void 0!==i?(h=i&&i.jquery?h.pushStack(i.get()):i,!1):void 0):e.error("no such method '"+n+"' for "+t+" widget instance"):e.error("cannot call methods on "+t+" prior to initialization; "+"attempted to call method '"+n+"'")}):(r.length&&(n=e.widget.extend.apply(null,[n].concat(r))),this.each(function(){var t=e.data(this,s);t?(t.option(n||{}),t._init&&t._init()):e.data(this,s,new i(n,this))})),h}},e.Widget=function(){},e.Widget._childConstructors=[],e.Widget.prototype={widgetName:"widget",widgetEventPrefix:"",defaultElement:"<div>",options:{disabled:!1,create:null},_createWidget:function(t,i){i=e(i||this.defaultElement||this)[0],this.element=e(i),this.uuid=n++,this.eventNamespace="."+this.widgetName+this.uuid,this.bindings=e(),this.hoverable=e(),this.focusable=e(),i!==this&&(e.data(i,this.widgetFullName,this),this._on(!0,this.element,{remove:function(e){e.target===i&&this.destroy()}}),this.document=e(i.style?i.ownerDocument:i.document||i),this.window=e(this.document[0].defaultView||this.document[0].parentWindow)),this.options=e.widget.extend({},this.options,this._getCreateOptions(),t),this._create(),this._trigger("create",null,this._getCreateEventData()),this._init()},_getCreateOptions:e.noop,_getCreateEventData:e.noop,_create:e.noop,_init:e.noop,destroy:function(){this._destroy(),this.element.unbind(this.eventNamespace).removeData(this.widgetFullName).removeData(e.camelCase(this.widgetFullName)),this.widget().unbind(this.eventNamespace).removeAttr("aria-disabled").removeClass(this.widgetFullName+"-disabled "+"ui-state-disabled"),this.bindings.unbind(this.eventNamespace),this.hoverable.removeClass("ui-state-hover"),this.focusable.removeClass("ui-state-focus")},_destroy:e.noop,widget:function(){return this.element},option:function(t,i){var s,n,a,o=t;if(0===arguments.length)return e.widget.extend({},this.options);if("string"==typeof t)if(o={},s=t.split("."),t=s.shift(),s.length){for(n=o[t]=e.widget.extend({},this.options[t]),a=0;s.length-1>a;a++)n[s[a]]=n[s[a]]||{},n=n[s[a]];if(t=s.pop(),1===arguments.length)return void 0===n[t]?null:n[t];n[t]=i}else{if(1===arguments.length)return void 0===this.options[t]?null:this.options[t];o[t]=i}return this._setOptions(o),this},_setOptions:function(e){var t;for(t in e)this._setOption(t,e[t]);return this},_setOption:function(e,t){return this.options[e]=t,"disabled"===e&&(this.widget().toggleClass(this.widgetFullName+"-disabled",!!t),t&&(this.hoverable.removeClass("ui-state-hover"),this.focusable.removeClass("ui-state-focus"))),this},enable:function(){return this._setOptions({disabled:!1})},disable:function(){return this._setOptions({disabled:!0})},_on:function(t,i,s){var n,a=this;"boolean"!=typeof t&&(s=i,i=t,t=!1),s?(i=n=e(i),this.bindings=this.bindings.add(i)):(s=i,i=this.element,n=this.widget()),e.each(s,function(s,o){function r(){return t||a.options.disabled!==!0&&!e(this).hasClass("ui-state-disabled")?("string"==typeof o?a[o]:o).apply(a,arguments):void 0}"string"!=typeof o&&(r.guid=o.guid=o.guid||r.guid||e.guid++);var h=s.match(/^([\w:-]*)\s*(.*)$/),l=h[1]+a.eventNamespace,u=h[2];u?n.delegate(u,l,r):i.bind(l,r)})},_off:function(t,i){i=(i||"").split(" ").join(this.eventNamespace+" ")+this.eventNamespace,t.unbind(i).undelegate(i),this.bindings=e(this.bindings.not(t).get()),this.focusable=e(this.focusable.not(t).get()),this.hoverable=e(this.hoverable.not(t).get())},_delay:function(e,t){function i(){return("string"==typeof e?s[e]:e).apply(s,arguments)}var s=this;return setTimeout(i,t||0)},_hoverable:function(t){this.hoverable=this.hoverable.add(t),this._on(t,{mouseenter:function(t){e(t.currentTarget).addClass("ui-state-hover")},mouseleave:function(t){e(t.currentTarget).removeClass("ui-state-hover")}})},_focusable:function(t){this.focusable=this.focusable.add(t),this._on(t,{focusin:function(t){e(t.currentTarget).addClass("ui-state-focus")},focusout:function(t){e(t.currentTarget).removeClass("ui-state-focus")}})},_trigger:function(t,i,s){var n,a,o=this.options[t];if(s=s||{},i=e.Event(i),i.type=(t===this.widgetEventPrefix?t:this.widgetEventPrefix+t).toLowerCase(),i.target=this.element[0],a=i.originalEvent)for(n in a)n in i||(i[n]=a[n]);return this.element.trigger(i,s),!(e.isFunction(o)&&o.apply(this.element[0],[i].concat(s))===!1||i.isDefaultPrevented())}},e.each({show:"fadeIn",hide:"fadeOut"},function(t,i){e.Widget.prototype["_"+t]=function(s,n,a){"string"==typeof n&&(n={effect:n});var o,r=n?n===!0||"number"==typeof n?i:n.effect||i:t;n=n||{},"number"==typeof n&&(n={duration:n}),o=!e.isEmptyObject(n),n.complete=a,n.delay&&s.delay(n.delay),o&&e.effects&&e.effects.effect[r]?s[t](n):r!==t&&s[r]?s[r](n.duration,n.easing,a):s.queue(function(i){e(this)[t](),a&&a.call(s[0]),i()})}}),e.widget;var o=!1;e(document).mouseup(function(){o=!1}),e.widget("ui.mouse",{version:"1.11.4",options:{cancel:"input,textarea,button,select,option",distance:1,delay:0},_mouseInit:function(){var t=this;this.element.bind("mousedown."+this.widgetName,function(e){return t._mouseDown(e)}).bind("click."+this.widgetName,function(i){return!0===e.data(i.target,t.widgetName+".preventClickEvent")?(e.removeData(i.target,t.widgetName+".preventClickEvent"),i.stopImmediatePropagation(),!1):void 0}),this.started=!1},_mouseDestroy:function(){this.element.unbind("."+this.widgetName),this._mouseMoveDelegate&&this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate)},_mouseDown:function(t){if(!o){this._mouseMoved=!1,this._mouseStarted&&this._mouseUp(t),this._mouseDownEvent=t;var i=this,s=1===t.which,n="string"==typeof this.options.cancel&&t.target.nodeName?e(t.target).closest(this.options.cancel).length:!1;return s&&!n&&this._mouseCapture(t)?(this.mouseDelayMet=!this.options.delay,this.mouseDelayMet||(this._mouseDelayTimer=setTimeout(function(){i.mouseDelayMet=!0},this.options.delay)),this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(t)!==!1,!this._mouseStarted)?(t.preventDefault(),!0):(!0===e.data(t.target,this.widgetName+".preventClickEvent")&&e.removeData(t.target,this.widgetName+".preventClickEvent"),this._mouseMoveDelegate=function(e){return i._mouseMove(e)},this._mouseUpDelegate=function(e){return i._mouseUp(e)},this.document.bind("mousemove."+this.widgetName,this._mouseMoveDelegate).bind("mouseup."+this.widgetName,this._mouseUpDelegate),t.preventDefault(),o=!0,!0)):!0}},_mouseMove:function(t){if(this._mouseMoved){if(e.ui.ie&&(!document.documentMode||9>document.documentMode)&&!t.button)return this._mouseUp(t);if(!t.which)return this._mouseUp(t)}return(t.which||t.button)&&(this._mouseMoved=!0),this._mouseStarted?(this._mouseDrag(t),t.preventDefault()):(this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(this._mouseDownEvent,t)!==!1,this._mouseStarted?this._mouseDrag(t):this._mouseUp(t)),!this._mouseStarted)},_mouseUp:function(t){return this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,t.target===this._mouseDownEvent.target&&e.data(t.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(t)),o=!1,!1},_mouseDistanceMet:function(e){return Math.max(Math.abs(this._mouseDownEvent.pageX-e.pageX),Math.abs(this._mouseDownEvent.pageY-e.pageY))>=this.options.distance},_mouseDelayMet:function(){return this.mouseDelayMet},_mouseStart:function(){},_mouseDrag:function(){},_mouseStop:function(){},_mouseCapture:function(){return!0}}),function(){function t(e,t,i){return[parseFloat(e[0])*(p.test(e[0])?t/100:1),parseFloat(e[1])*(p.test(e[1])?i/100:1)]}function i(t,i){return parseInt(e.css(t,i),10)||0}function s(t){var i=t[0];return 9===i.nodeType?{width:t.width(),height:t.height(),offset:{top:0,left:0}}:e.isWindow(i)?{width:t.width(),height:t.height(),offset:{top:t.scrollTop(),left:t.scrollLeft()}}:i.preventDefault?{width:0,height:0,offset:{top:i.pageY,left:i.pageX}}:{width:t.outerWidth(),height:t.outerHeight(),offset:t.offset()}}e.ui=e.ui||{};var n,a,o=Math.max,r=Math.abs,h=Math.round,l=/left|center|right/,u=/top|center|bottom/,d=/[\+\-]\d+(\.[\d]+)?%?/,c=/^\w+/,p=/%$/,f=e.fn.position;e.position={scrollbarWidth:function(){if(void 0!==n)return n;var t,i,s=e("<div style='display:block;position:absolute;width:50px;height:50px;overflow:hidden;'><div style='height:100px;width:auto;'></div></div>"),a=s.children()[0];return e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n
+})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1;
+i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td>&#160;</td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r};
+t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html("&#160;"),e.text(this.options.title)
+},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html("&#160;")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal ui-slider-vertical").addClass("ui-slider-"+this.orientation),this._refreshValue(),this.handles.css("horizontal"===i?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),s=0;n>s;s+=1)this._change(null,s);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_value:function(){var e=this.options.value;return e=this._trimAlignValue(e)},_values:function(e){var t,i,s;if(arguments.length)return t=this.options.values[e],t=this._trimAlignValue(t);if(this.options.values&&this.options.values.length){for(i=this.options.values.slice(),s=0;i.length>s;s+=1)i[s]=this._trimAlignValue(i[s]);return i}return[]},_trimAlignValue:function(e){if(this._valueMin()>=e)return this._valueMin();if(e>=this._valueMax())return this._valueMax();var t=this.options.step>0?this.options.step:1,i=(e-this._valueMin())%t,s=e-i;return 2*Math.abs(i)>=t&&(s+=i>0?t:-t),parseFloat(s.toFixed(5))},_calculateNewMax:function(){var e=this.options.max,t=this._valueMin(),i=this.options.step,s=Math.floor(+(e-t).toFixed(this._precision())/i)*i;e=s+t,this.max=parseFloat(e.toFixed(this._precision()))},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshValue:function(){var t,i,s,n,a,o=this.options.range,r=this.options,h=this,l=this._animateOff?!1:r.animate,u={};this.options.values&&this.options.values.length?this.handles.each(function(s){i=100*((h.values(s)-h._valueMin())/(h._valueMax()-h._valueMin())),u["horizontal"===h.orientation?"left":"bottom"]=i+"%",e(this).stop(1,1)[l?"animate":"css"](u,r.animate),h.options.range===!0&&("horizontal"===h.orientation?(0===s&&h.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({width:i-t+"%"},{queue:!1,duration:r.animate})):(0===s&&h.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({height:i-t+"%"},{queue:!1,duration:r.animate}))),t=i}):(s=this.value(),n=this._valueMin(),a=this._valueMax(),i=a!==n?100*((s-n)/(a-n)):0,u["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](u,r.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},r.animate),"max"===o&&"horizontal"===this.orientation&&this.range[l?"animate":"css"]({width:100-i+"%"},{queue:!1,duration:r.animate}),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},r.animate),"max"===o&&"vertical"===this.orientation&&this.range[l?"animate":"css"]({height:100-i+"%"},{queue:!1,duration:r.animate}))},_handleEvents:{keydown:function(t){var i,s,n,a,o=e(t.target).data("ui-slider-handle-index");switch(t.keyCode){case e.ui.keyCode.HOME:case e.ui.keyCode.END:case e.ui.keyCode.PAGE_UP:case e.ui.keyCode.PAGE_DOWN:case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,e(t.target).addClass("ui-state-active"),i=this._start(t,o),i===!1))return}switch(a=this.options.step,s=n=this.options.values&&this.options.values.length?this.values(o):this.value(),t.keyCode){case e.ui.keyCode.HOME:n=this._valueMin();break;case e.ui.keyCode.END:n=this._valueMax();break;case e.ui.keyCode.PAGE_UP:n=this._trimAlignValue(s+(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.PAGE_DOWN:n=this._trimAlignValue(s-(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:if(s===this._valueMax())return;n=this._trimAlignValue(s+a);break;case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(s===this._valueMin())return;n=this._trimAlignValue(s-a)}this._slide(t,o,n)},keyup:function(t){var i=e(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,i),this._change(t,i),e(t.target).removeClass("ui-state-active"))}}}),e.widget("ui.spinner",{version:"1.11.4",defaultElement:"<input>",widgetEventPrefix:"spin",options:{culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var t={},i=this.element;return e.each(["min","max","step"],function(e,s){var n=i.attr(s);void 0!==n&&n.length&&(t[s]=n)}),t},_events:{keydown:function(e){this._start(e)&&this._keydown(e)&&e.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",e),void 0)},mousewheel:function(e,t){if(t){if(!this.spinning&&!this._start(e))return!1;this._spin((t>0?1:-1)*this.options.step,e),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(e)},100),e.preventDefault()}},"mousedown .ui-spinner-button":function(t){function i(){var e=this.element[0]===this.document[0].activeElement;e||(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s}))}var s;s=this.element[0]===this.document[0].activeElement?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),this._start(t)!==!1&&this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){return e(t.currentTarget).hasClass("ui-state-active")?this._start(t)===!1?!1:(this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t),void 0):void 0},"mouseleave .ui-spinner-button":"_stop"},_draw:function(){var e=this.uiSpinner=this.element.addClass("ui-spinner-input").attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml());this.element.attr("role","spinbutton"),this.buttons=e.find(".ui-spinner-button").attr("tabIndex",-1).button().removeClass("ui-corner-all"),this.buttons.height()>Math.ceil(.5*e.height())&&e.height()>0&&e.height(e.height()),this.options.disabled&&this.disable()},_keydown:function(t){var i=this.options,s=e.ui.keyCode;switch(t.keyCode){case s.UP:return this._repeat(null,1,t),!0;case s.DOWN:return this._repeat(null,-1,t),!0;case s.PAGE_UP:return this._repeat(null,i.page,t),!0;case s.PAGE_DOWN:return this._repeat(null,-i.page,t),!0}return!1},_uiSpinnerHtml:function(){return"<span class='ui-spinner ui-widget ui-widget-content ui-corner-all'></span>"},_buttonHtml:function(){return"<a class='ui-spinner-button ui-spinner-up ui-corner-tr'><span class='ui-icon "+this.options.icons.up+"'>&#9650;</span>"+"</a>"+"<a class='ui-spinner-button ui-spinner-down ui-corner-br'>"+"<span class='ui-icon "+this.options.icons.down+"'>&#9660;</span>"+"</a>"},_start:function(e){return this.spinning||this._trigger("start",e)!==!1?(this.counter||(this.counter=1),this.spinning=!0,!0):!1},_repeat:function(e,t,i){e=e||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,t,i)},e),this._spin(t*this.options.step,i)},_spin:function(e,t){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+e*this._increment(this.counter)),this.spinning&&this._trigger("spin",t,{value:i})===!1||(this._value(i),this.counter++)},_increment:function(t){var i=this.options.incremental;return i?e.isFunction(i)?i(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_adjustValue:function(e){var t,i,s=this.options;return t=null!==s.min?s.min:0,i=e-t,i=Math.round(i/s.step)*s.step,e=t+i,e=parseFloat(e.toFixed(this._precision())),null!==s.max&&e>s.max?s.max:null!==s.min&&s.min>e?s.min:e},_stop:function(e){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",e))},_setOption:function(e,t){if("culture"===e||"numberFormat"===e){var i=this._parse(this.element.val());return this.options[e]=t,this.element.val(this._format(i)),void 0}("max"===e||"min"===e||"step"===e)&&"string"==typeof t&&(t=this._parse(t)),"icons"===e&&(this.buttons.first().find(".ui-icon").removeClass(this.options.icons.up).addClass(t.up),this.buttons.last().find(".ui-icon").removeClass(this.options.icons.down).addClass(t.down)),this._super(e,t),"disabled"===e&&(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable"))},_setOptions:s(function(e){this._super(e)}),_parse:function(e){return"string"==typeof e&&""!==e&&(e=window.Globalize&&this.options.numberFormat?Globalize.parseFloat(e,10,this.options.culture):+e),""===e||isNaN(e)?null:e
+},_format:function(e){return""===e?"":window.Globalize&&this.options.numberFormat?Globalize.format(e,this.options.numberFormat,this.options.culture):e},_refresh:function(){this.element.attr({"aria-valuemin":this.options.min,"aria-valuemax":this.options.max,"aria-valuenow":this._parse(this.element.val())})},isValid:function(){var e=this.value();return null===e?!1:e===this._adjustValue(e)},_value:function(e,t){var i;""!==e&&(i=this._parse(e),null!==i&&(t||(i=this._adjustValue(i)),e=this._format(i))),this.element.val(e),this._refresh()},_destroy:function(){this.element.removeClass("ui-spinner-input").prop("disabled",!1).removeAttr("autocomplete").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:s(function(e){this._stepUp(e)}),_stepUp:function(e){this._start()&&(this._spin((e||1)*this.options.step),this._stop())},stepDown:s(function(e){this._stepDown(e)}),_stepDown:function(e){this._start()&&(this._spin((e||1)*-this.options.step),this._stop())},pageUp:s(function(e){this._stepUp((e||1)*this.options.page)}),pageDown:s(function(e){this._stepDown((e||1)*this.options.page)}),value:function(e){return arguments.length?(s(this._value).call(this,e),void 0):this._parse(this.element.val())},widget:function(){return this.uiSpinner}}),e.widget("ui.tabs",{version:"1.11.4",delay:300,options:{active:null,collapsible:!1,event:"click",heightStyle:"content",hide:null,show:null,activate:null,beforeActivate:null,beforeLoad:null,load:null},_isLocal:function(){var e=/#.*$/;return function(t){var i,s;t=t.cloneNode(!1),i=t.href.replace(e,""),s=location.href.replace(e,"");try{i=decodeURIComponent(i)}catch(n){}try{s=decodeURIComponent(s)}catch(n){}return t.hash.length>1&&i===s}}(),_create:function(){var t=this,i=this.options;this.running=!1,this.element.addClass("ui-tabs ui-widget ui-widget-content ui-corner-all").toggleClass("ui-tabs-collapsible",i.collapsible),this._processTabs(),i.active=this._initialActive(),e.isArray(i.disabled)&&(i.disabled=e.unique(i.disabled.concat(e.map(this.tabs.filter(".ui-state-disabled"),function(e){return t.tabs.index(e)}))).sort()),this.active=this.options.active!==!1&&this.anchors.length?this._findActive(i.active):e(),this._refresh(),this.active.length&&this.load(i.active)},_initialActive:function(){var t=this.options.active,i=this.options.collapsible,s=location.hash.substring(1);return null===t&&(s&&this.tabs.each(function(i,n){return e(n).attr("aria-controls")===s?(t=i,!1):void 0}),null===t&&(t=this.tabs.index(this.tabs.filter(".ui-tabs-active"))),(null===t||-1===t)&&(t=this.tabs.length?0:!1)),t!==!1&&(t=this.tabs.index(this.tabs.eq(t)),-1===t&&(t=i?!1:0)),!i&&t===!1&&this.anchors.length&&(t=0),t},_getCreateEventData:function(){return{tab:this.active,panel:this.active.length?this._getPanelForTab(this.active):e()}},_tabKeydown:function(t){var i=e(this.document[0].activeElement).closest("li"),s=this.tabs.index(i),n=!0;if(!this._handlePageNav(t)){switch(t.keyCode){case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:s++;break;case e.ui.keyCode.UP:case e.ui.keyCode.LEFT:n=!1,s--;break;case e.ui.keyCode.END:s=this.anchors.length-1;break;case e.ui.keyCode.HOME:s=0;break;case e.ui.keyCode.SPACE:return t.preventDefault(),clearTimeout(this.activating),this._activate(s),void 0;case e.ui.keyCode.ENTER:return t.preventDefault(),clearTimeout(this.activating),this._activate(s===this.options.active?!1:s),void 0;default:return}t.preventDefault(),clearTimeout(this.activating),s=this._focusNextTab(s,n),t.ctrlKey||t.metaKey||(i.attr("aria-selected","false"),this.tabs.eq(s).attr("aria-selected","true"),this.activating=this._delay(function(){this.option("active",s)},this.delay))}},_panelKeydown:function(t){this._handlePageNav(t)||t.ctrlKey&&t.keyCode===e.ui.keyCode.UP&&(t.preventDefault(),this.active.focus())},_handlePageNav:function(t){return t.altKey&&t.keyCode===e.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===e.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 0},_findNextTab:function(t,i){function s(){return t>n&&(t=0),0>t&&(t=n),t}for(var n=this.tabs.length-1;-1!==e.inArray(s(),this.options.disabled);)t=i?t+1:t-1;return t},_focusNextTab:function(e,t){return e=this._findNextTab(e,t),this.tabs.eq(e).focus(),e},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):"disabled"===e?(this._setupDisabled(t),void 0):(this._super(e,t),"collapsible"===e&&(this.element.toggleClass("ui-tabs-collapsible",t),t||this.options.active!==!1||this._activate(0)),"event"===e&&this._setupEvents(t),"heightStyle"===e&&this._setupHeightStyle(t),void 0)},_sanitizeSelector:function(e){return e?e.replace(/[!"$%&'()*+,.\/:;<=>?@\[\]\^`{|}~]/g,"\\$&"):""},refresh:function(){var t=this.options,i=this.tablist.children(":has(a[href])");t.disabled=e.map(i.filter(".ui-state-disabled"),function(e){return i.index(e)}),this._processTabs(),t.active!==!1&&this.anchors.length?this.active.length&&!e.contains(this.tablist[0],this.active[0])?this.tabs.length===t.disabled.length?(t.active=!1,this.active=e()):this._activate(this._findNextTab(Math.max(0,t.active-1),!1)):t.active=this.tabs.index(this.active):(t.active=!1,this.active=e()),this._refresh()},_refresh:function(){this._setupDisabled(this.options.disabled),this._setupEvents(this.options.event),this._setupHeightStyle(this.options.heightStyle),this.tabs.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}),this.panels.not(this._getPanelForTab(this.active)).hide().attr({"aria-hidden":"true"}),this.active.length?(this.active.addClass("ui-tabs-active ui-state-active").attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}),this._getPanelForTab(this.active).show().attr({"aria-hidden":"false"})):this.tabs.eq(0).attr("tabIndex",0)},_processTabs:function(){var t=this,i=this.tabs,s=this.anchors,n=this.panels;this.tablist=this._getList().addClass("ui-tabs-nav ui-helper-reset ui-helper-clearfix ui-widget-header ui-corner-all").attr("role","tablist").delegate("> li","mousedown"+this.eventNamespace,function(t){e(this).is(".ui-state-disabled")&&t.preventDefault()}).delegate(".ui-tabs-anchor","focus"+this.eventNamespace,function(){e(this).closest("li").is(".ui-state-disabled")&&this.blur()}),this.tabs=this.tablist.find("> li:has(a[href])").addClass("ui-state-default ui-corner-top").attr({role:"tab",tabIndex:-1}),this.anchors=this.tabs.map(function(){return e("a",this)[0]}).addClass("ui-tabs-anchor").attr({role:"presentation",tabIndex:-1}),this.panels=e(),this.anchors.each(function(i,s){var n,a,o,r=e(s).uniqueId().attr("id"),h=e(s).closest("li"),l=h.attr("aria-controls");t._isLocal(s)?(n=s.hash,o=n.substring(1),a=t.element.find(t._sanitizeSelector(n))):(o=h.attr("aria-controls")||e({}).uniqueId()[0].id,n="#"+o,a=t.element.find(n),a.length||(a=t._createPanel(o),a.insertAfter(t.panels[i-1]||t.tablist)),a.attr("aria-live","polite")),a.length&&(t.panels=t.panels.add(a)),l&&h.data("ui-tabs-aria-controls",l),h.attr({"aria-controls":o,"aria-labelledby":r}),a.attr("aria-labelledby",r)}),this.panels.addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").attr("role","tabpanel"),i&&(this._off(i.not(this.tabs)),this._off(s.not(this.anchors)),this._off(n.not(this.panels)))},_getList:function(){return this.tablist||this.element.find("ol,ul").eq(0)},_createPanel:function(t){return e("<div>").attr("id",t).addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").data("ui-tabs-destroy",!0)},_setupDisabled:function(t){e.isArray(t)&&(t.length?t.length===this.anchors.length&&(t=!0):t=!1);for(var i,s=0;i=this.tabs[s];s++)t===!0||-1!==e.inArray(s,t)?e(i).addClass("ui-state-disabled").attr("aria-disabled","true"):e(i).removeClass("ui-state-disabled").removeAttr("aria-disabled");this.options.disabled=t},_setupEvents:function(t){var i={};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.anchors.add(this.tabs).add(this.panels)),this._on(!0,this.anchors,{click:function(e){e.preventDefault()}}),this._on(this.anchors,i),this._on(this.tabs,{keydown:"_tabKeydown"}),this._on(this.panels,{keydown:"_panelKeydown"}),this._focusable(this.tabs),this._hoverable(this.tabs)},_setupHeightStyle:function(t){var i,s=this.element.parent();"fill"===t?(i=s.height(),i-=this.element.outerHeight()-this.element.height(),this.element.siblings(":visible").each(function(){var t=e(this),s=t.css("position");"absolute"!==s&&"fixed"!==s&&(i-=t.outerHeight(!0))}),this.element.children().not(this.panels).each(function(){i-=e(this).outerHeight(!0)}),this.panels.each(function(){e(this).height(Math.max(0,i-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===t&&(i=0,this.panels.each(function(){i=Math.max(i,e(this).height("").height())}).height(i))},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n.closest("li"),o=a[0]===s[0],r=o&&i.collapsible,h=r?e():this._getPanelForTab(a),l=s.length?this._getPanelForTab(s):e(),u={oldTab:s,oldPanel:l,newTab:r?e():a,newPanel:h};t.preventDefault(),a.hasClass("ui-state-disabled")||a.hasClass("ui-tabs-loading")||this.running||o&&!i.collapsible||this._trigger("beforeActivate",t,u)===!1||(i.active=r?!1:this.tabs.index(a),this.active=o?e():a,this.xhr&&this.xhr.abort(),l.length||h.length||e.error("jQuery UI Tabs: Mismatching fragment identifier."),h.length&&this.load(this.tabs.index(a),t),this._toggle(t,u))},_toggle:function(t,i){function s(){a.running=!1,a._trigger("activate",t,i)}function n(){i.newTab.closest("li").addClass("ui-tabs-active ui-state-active"),o.length&&a.options.show?a._show(o,a.options.show,s):(o.show(),s())}var a=this,o=i.newPanel,r=i.oldPanel;this.running=!0,r.length&&this.options.hide?this._hide(r,this.options.hide,function(){i.oldTab.closest("li").removeClass("ui-tabs-active ui-state-active"),n()}):(i.oldTab.closest("li").removeClass("ui-tabs-active ui-state-active"),r.hide(),n()),r.attr("aria-hidden","true"),i.oldTab.attr({"aria-selected":"false","aria-expanded":"false"}),o.length&&r.length?i.oldTab.attr("tabIndex",-1):o.length&&this.tabs.filter(function(){return 0===e(this).attr("tabIndex")}).attr("tabIndex",-1),o.attr("aria-hidden","false"),i.newTab.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_activate:function(t){var i,s=this._findActive(t);s[0]!==this.active[0]&&(s.length||(s=this.active),i=s.find(".ui-tabs-anchor")[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return t===!1?e():this.tabs.eq(t)},_getIndex:function(e){return"string"==typeof e&&(e=this.anchors.index(this.anchors.filter("[href$='"+e+"']"))),e},_destroy:function(){this.xhr&&this.xhr.abort(),this.element.removeClass("ui-tabs ui-widget ui-widget-content ui-corner-all ui-tabs-collapsible"),this.tablist.removeClass("ui-tabs-nav ui-helper-reset ui-helper-clearfix ui-widget-header ui-corner-all").removeAttr("role"),this.anchors.removeClass("ui-tabs-anchor").removeAttr("role").removeAttr("tabIndex").removeUniqueId(),this.tablist.unbind(this.eventNamespace),this.tabs.add(this.panels).each(function(){e.data(this,"ui-tabs-destroy")?e(this).remove():e(this).removeClass("ui-state-default ui-state-active ui-state-disabled ui-corner-top ui-corner-bottom ui-widget-content ui-tabs-active ui-tabs-panel").removeAttr("tabIndex").removeAttr("aria-live").removeAttr("aria-busy").removeAttr("aria-selected").removeAttr("aria-labelledby").removeAttr("aria-hidden").removeAttr("aria-expanded").removeAttr("role")}),this.tabs.each(function(){var t=e(this),i=t.data("ui-tabs-aria-controls");i?t.attr("aria-controls",i).removeData("ui-tabs-aria-controls"):t.removeAttr("aria-controls")}),this.panels.show(),"content"!==this.options.heightStyle&&this.panels.css("height","")},enable:function(t){var i=this.options.disabled;i!==!1&&(void 0===t?i=!1:(t=this._getIndex(t),i=e.isArray(i)?e.map(i,function(e){return e!==t?e:null}):e.map(this.tabs,function(e,i){return i!==t?i:null})),this._setupDisabled(i))},disable:function(t){var i=this.options.disabled;if(i!==!0){if(void 0===t)i=!0;else{if(t=this._getIndex(t),-1!==e.inArray(t,i))return;i=e.isArray(i)?e.merge([t],i).sort():[t]}this._setupDisabled(i)}},load:function(t,i){t=this._getIndex(t);var s=this,n=this.tabs.eq(t),a=n.find(".ui-tabs-anchor"),o=this._getPanelForTab(n),r={tab:n,panel:o},h=function(e,t){"abort"===t&&s.panels.stop(!1,!0),n.removeClass("ui-tabs-loading"),o.removeAttr("aria-busy"),e===s.xhr&&delete s.xhr};this._isLocal(a[0])||(this.xhr=e.ajax(this._ajaxSettings(a,i,r)),this.xhr&&"canceled"!==this.xhr.statusText&&(n.addClass("ui-tabs-loading"),o.attr("aria-busy","true"),this.xhr.done(function(e,t,n){setTimeout(function(){o.html(e),s._trigger("load",i,r),h(n,t)},1)}).fail(function(e,t){setTimeout(function(){h(e,t)},1)})))},_ajaxSettings:function(t,i,s){var n=this;return{url:t.attr("href"),beforeSend:function(t,a){return n._trigger("beforeLoad",i,e.extend({jqXHR:t,ajaxSettings:a},s))}}},_getPanelForTab:function(t){var i=e(t).attr("aria-controls");return this.element.find(this._sanitizeSelector("#"+i))}}),e.widget("ui.tooltip",{version:"1.11.4",options:{content:function(){var t=e(this).attr("title")||"";return e("<a>").text(t).html()},hide:!0,items:"[title]:not([disabled])",position:{my:"left top+15",at:"left bottom",collision:"flipfit flip"},show:!0,tooltipClass:null,track:!1,close:null,open:null},_addDescribedBy:function(t,i){var s=(t.attr("aria-describedby")||"").split(/\s+/);s.push(i),t.data("ui-tooltip-id",i).attr("aria-describedby",e.trim(s.join(" ")))},_removeDescribedBy:function(t){var i=t.data("ui-tooltip-id"),s=(t.attr("aria-describedby")||"").split(/\s+/),n=e.inArray(i,s);-1!==n&&s.splice(n,1),t.removeData("ui-tooltip-id"),s=e.trim(s.join(" ")),s?t.attr("aria-describedby",s):t.removeAttr("aria-describedby")},_create:function(){this._on({mouseover:"open",focusin:"open"}),this.tooltips={},this.parents={},this.options.disabled&&this._disable(),this.liveRegion=e("<div>").attr({role:"log","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body)},_setOption:function(t,i){var s=this;return"disabled"===t?(this[i?"_disable":"_enable"](),this.options[t]=i,void 0):(this._super(t,i),"content"===t&&e.each(this.tooltips,function(e,t){s._updateContent(t.element)}),void 0)},_disable:function(){var t=this;e.each(this.tooltips,function(i,s){var n=e.Event("blur");n.target=n.currentTarget=s.element[0],t.close(n,!0)}),this.element.find(this.options.items).addBack().each(function(){var t=e(this);t.is("[title]")&&t.data("ui-tooltip-title",t.attr("title")).removeAttr("title")})},_enable:function(){this.element.find(this.options.items).addBack().each(function(){var t=e(this);t.data("ui-tooltip-title")&&t.attr("title",t.data("ui-tooltip-title"))})},open:function(t){var i=this,s=e(t?t.target:this.element).closest(this.options.items);s.length&&!s.data("ui-tooltip-id")&&(s.attr("title")&&s.data("ui-tooltip-title",s.attr("title")),s.data("ui-tooltip-open",!0),t&&"mouseover"===t.type&&s.parents().each(function(){var t,s=e(this);s.data("ui-tooltip-open")&&(t=e.Event("blur"),t.target=t.currentTarget=this,i.close(t,!0)),s.attr("title")&&(s.uniqueId(),i.parents[this.id]={element:this,title:s.attr("title")},s.attr("title",""))}),this._registerCloseHandlers(t,s),this._updateContent(s,t))},_updateContent:function(e,t){var i,s=this.options.content,n=this,a=t?t.type:null;return"string"==typeof s?this._open(t,e,s):(i=s.call(e[0],function(i){n._delay(function(){e.data("ui-tooltip-open")&&(t&&(t.type=a),this._open(t,e,i))})}),i&&this._open(t,e,i),void 0)},_open:function(t,i,s){function n(e){l.of=e,o.is(":hidden")||o.position(l)}var a,o,r,h,l=e.extend({},this.options.position);if(s){if(a=this._find(i))return a.tooltip.find(".ui-tooltip-content").html(s),void 0;i.is("[title]")&&(t&&"mouseover"===t.type?i.attr("title",""):i.removeAttr("title")),a=this._tooltip(i),o=a.tooltip,this._addDescribedBy(i,o.attr("id")),o.find(".ui-tooltip-content").html(s),this.liveRegion.children().hide(),s.clone?(h=s.clone(),h.removeAttr("id").find("[id]").removeAttr("id")):h=s,e("<div>").html(h).appendTo(this.liveRegion),this.options.track&&t&&/^mouse/.test(t.type)?(this._on(this.document,{mousemove:n}),n(t)):o.position(e.extend({of:i},this.options.position)),o.hide(),this._show(o,this.options.show),this.options.show&&this.options.show.delay&&(r=this.delayedShow=setInterval(function(){o.is(":visible")&&(n(l.of),clearInterval(r))},e.fx.interval)),this._trigger("open",t,{tooltip:o})}},_registerCloseHandlers:function(t,i){var s={keyup:function(t){if(t.keyCode===e.ui.keyCode.ESCAPE){var s=e.Event(t);s.currentTarget=i[0],this.close(s,!0)}}};i[0]!==this.element[0]&&(s.remove=function(){this._removeTooltip(this._find(i).tooltip)}),t&&"mouseover"!==t.type||(s.mouseleave="close"),t&&"focusin"!==t.type||(s.focusout="close"),this._on(!0,i,s)},close:function(t){var i,s=this,n=e(t?t.currentTarget:this.element),a=this._find(n);return a?(i=a.tooltip,a.closing||(clearInterval(this.delayedShow),n.data("ui-tooltip-title")&&!n.attr("title")&&n.attr("title",n.data("ui-tooltip-title")),this._removeDescribedBy(n),a.hiding=!0,i.stop(!0),this._hide(i,this.options.hide,function(){s._removeTooltip(e(this))}),n.removeData("ui-tooltip-open"),this._off(n,"mouseleave focusout keyup"),n[0]!==this.element[0]&&this._off(n,"remove"),this._off(this.document,"mousemove"),t&&"mouseleave"===t.type&&e.each(this.parents,function(t,i){e(i.element).attr("title",i.title),delete s.parents[t]}),a.closing=!0,this._trigger("close",t,{tooltip:i}),a.hiding||(a.closing=!1)),void 0):(n.removeData("ui-tooltip-open"),void 0)},_tooltip:function(t){var i=e("<div>").attr("role","tooltip").addClass("ui-tooltip ui-widget ui-corner-all ui-widget-content "+(this.options.tooltipClass||"")),s=i.uniqueId().attr("id");return e("<div>").addClass("ui-tooltip-content").appendTo(i),i.appendTo(this.document[0].body),this.tooltips[s]={element:t,tooltip:i}},_find:function(e){var t=e.data("ui-tooltip-id");return t?this.tooltips[t]:null},_removeTooltip:function(e){e.remove(),delete this.tooltips[e.attr("id")]},_destroy:function(){var t=this;e.each(this.tooltips,function(i,s){var n=e.Event("blur"),a=s.element;n.target=n.currentTarget=a[0],t.close(n,!0),e("#"+i).remove(),a.data("ui-tooltip-title")&&(a.attr("title")||a.attr("title",a.data("ui-tooltip-title")),a.removeData("ui-tooltip-title"))}),this.liveRegion.remove()}});var c="ui-effects-",p=e;e.effects={effect:{}},function(e,t){function i(e,t,i){var s=d[t.type]||{};return null==e?i||!t.def?null:t.def:(e=s.floor?~~e:parseFloat(e),isNaN(e)?t.def:s.mod?(e+s.mod)%s.mod:0>e?0:e>s.max?s.max:e)}function s(i){var s=l(),n=s._rgba=[];return i=i.toLowerCase(),f(h,function(e,a){var o,r=a.re.exec(i),h=r&&a.parse(r),l=a.space||"rgba";return h?(o=s[l](h),s[u[l].cache]=o[u[l].cache],n=s._rgba=o._rgba,!1):t}),n.length?("0,0,0,0"===n.join()&&e.extend(n,a.transparent),s):a[i]}function n(e,t,i){return i=(i+1)%1,1>6*i?e+6*(t-e)*i:1>2*i?t:2>3*i?e+6*(t-e)*(2/3-i):e}var a,o="backgroundColor borderBottomColor borderLeftColor borderRightColor borderTopColor color columnRuleColor outlineColor textDecorationColor textEmphasisColor",r=/^([\-+])=\s*(\d+\.?\d*)/,h=[{re:/rgba?\(\s*(\d{1,3})\s*,\s*(\d{1,3})\s*,\s*(\d{1,3})\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(e){return[e[1],e[2],e[3],e[4]]}},{re:/rgba?\(\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(e){return[2.55*e[1],2.55*e[2],2.55*e[3],e[4]]}},{re:/#([a-f0-9]{2})([a-f0-9]{2})([a-f0-9]{2})/,parse:function(e){return[parseInt(e[1],16),parseInt(e[2],16),parseInt(e[3],16)]}},{re:/#([a-f0-9])([a-f0-9])([a-f0-9])/,parse:function(e){return[parseInt(e[1]+e[1],16),parseInt(e[2]+e[2],16),parseInt(e[3]+e[3],16)]}},{re:/hsla?\(\s*(\d+(?:\.\d+)?)\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,space:"hsla",parse:function(e){return[e[1],e[2]/100,e[3]/100,e[4]]}}],l=e.Color=function(t,i,s,n){return new e.Color.fn.parse(t,i,s,n)},u={rgba:{props:{red:{idx:0,type:"byte"},green:{idx:1,type:"byte"},blue:{idx:2,type:"byte"}}},hsla:{props:{hue:{idx:0,type:"degrees"},saturation:{idx:1,type:"percent"},lightness:{idx:2,type:"percent"}}}},d={"byte":{floor:!0,max:255},percent:{max:1},degrees:{mod:360,floor:!0}},c=l.support={},p=e("<p>")[0],f=e.each;p.style.cssText="background-color:rgba(1,1,1,.5)",c.rgba=p.style.backgroundColor.indexOf("rgba")>-1,f(u,function(e,t){t.cache="_"+e,t.props.alpha={idx:3,type:"percent",def:1}}),l.fn=e.extend(l.prototype,{parse:function(n,o,r,h){if(n===t)return this._rgba=[null,null,null,null],this;(n.jquery||n.nodeType)&&(n=e(n).css(o),o=t);var d=this,c=e.type(n),p=this._rgba=[];return o!==t&&(n=[n,o,r,h],c="array"),"string"===c?this.parse(s(n)||a._default):"array"===c?(f(u.rgba.props,function(e,t){p[t.idx]=i(n[t.idx],t)}),this):"object"===c?(n instanceof l?f(u,function(e,t){n[t.cache]&&(d[t.cache]=n[t.cache].slice())}):f(u,function(t,s){var a=s.cache;f(s.props,function(e,t){if(!d[a]&&s.to){if("alpha"===e||null==n[e])return;d[a]=s.to(d._rgba)}d[a][t.idx]=i(n[e],t,!0)}),d[a]&&0>e.inArray(null,d[a].slice(0,3))&&(d[a][3]=1,s.from&&(d._rgba=s.from(d[a])))}),this):t},is:function(e){var i=l(e),s=!0,n=this;return f(u,function(e,a){var o,r=i[a.cache];return r&&(o=n[a.cache]||a.to&&a.to(n._rgba)||[],f(a.props,function(e,i){return null!=r[i.idx]?s=r[i.idx]===o[i.idx]:t})),s}),s},_space:function(){var e=[],t=this;return f(u,function(i,s){t[s.cache]&&e.push(i)}),e.pop()},transition:function(e,t){var s=l(e),n=s._space(),a=u[n],o=0===this.alpha()?l("transparent"):this,r=o[a.cache]||a.to(o._rgba),h=r.slice();return s=s[a.cache],f(a.props,function(e,n){var a=n.idx,o=r[a],l=s[a],u=d[n.type]||{};null!==l&&(null===o?h[a]=l:(u.mod&&(l-o>u.mod/2?o+=u.mod:o-l>u.mod/2&&(o-=u.mod)),h[a]=i((l-o)*t+o,n)))}),this[n](h)},blend:function(t){if(1===this._rgba[3])return this;var i=this._rgba.slice(),s=i.pop(),n=l(t)._rgba;return l(e.map(i,function(e,t){return(1-s)*n[t]+s*e}))},toRgbaString:function(){var t="rgba(",i=e.map(this._rgba,function(e,t){return null==e?t>2?1:0:e});return 1===i[3]&&(i.pop(),t="rgb("),t+i.join()+")"},toHslaString:function(){var t="hsla(",i=e.map(this.hsla(),function(e,t){return null==e&&(e=t>2?1:0),t&&3>t&&(e=Math.round(100*e)+"%"),e});return 1===i[3]&&(i.pop(),t="hsl("),t+i.join()+")"},toHexString:function(t){var i=this._rgba.slice(),s=i.pop();return t&&i.push(~~(255*s)),"#"+e.map(i,function(e){return e=(e||0).toString(16),1===e.length?"0"+e:e}).join("")},toString:function(){return 0===this._rgba[3]?"transparent":this.toRgbaString()}}),l.fn.parse.prototype=l.fn,u.hsla.to=function(e){if(null==e[0]||null==e[1]||null==e[2])return[null,null,null,e[3]];var t,i,s=e[0]/255,n=e[1]/255,a=e[2]/255,o=e[3],r=Math.max(s,n,a),h=Math.min(s,n,a),l=r-h,u=r+h,d=.5*u;return t=h===r?0:s===r?60*(n-a)/l+360:n===r?60*(a-s)/l+120:60*(s-n)/l+240,i=0===l?0:.5>=d?l/u:l/(2-u),[Math.round(t)%360,i,d,null==o?1:o]},u.hsla.from=function(e){if(null==e[0]||null==e[1]||null==e[2])return[null,null,null,e[3]];var t=e[0]/360,i=e[1],s=e[2],a=e[3],o=.5>=s?s*(1+i):s+i-s*i,r=2*s-o;return[Math.round(255*n(r,o,t+1/3)),Math.round(255*n(r,o,t)),Math.round(255*n(r,o,t-1/3)),a]},f(u,function(s,n){var a=n.props,o=n.cache,h=n.to,u=n.from;l.fn[s]=function(s){if(h&&!this[o]&&(this[o]=h(this._rgba)),s===t)return this[o].slice();var n,r=e.type(s),d="array"===r||"object"===r?s:arguments,c=this[o].slice();return f(a,function(e,t){var s=d["object"===r?e:t.idx];null==s&&(s=c[t.idx]),c[t.idx]=i(s,t)}),u?(n=l(u(c)),n[o]=c,n):l(c)},f(a,function(t,i){l.fn[t]||(l.fn[t]=function(n){var a,o=e.type(n),h="alpha"===t?this._hsla?"hsla":"rgba":s,l=this[h](),u=l[i.idx];return"undefined"===o?u:("function"===o&&(n=n.call(this,u),o=e.type(n)),null==n&&i.empty?this:("string"===o&&(a=r.exec(n),a&&(n=u+parseFloat(a[2])*("+"===a[1]?1:-1))),l[i.idx]=n,this[h](l)))})})}),l.hook=function(t){var i=t.split(" ");f(i,function(t,i){e.cssHooks[i]={set:function(t,n){var a,o,r="";if("transparent"!==n&&("string"!==e.type(n)||(a=s(n)))){if(n=l(a||n),!c.rgba&&1!==n._rgba[3]){for(o="backgroundColor"===i?t.parentNode:t;(""===r||"transparent"===r)&&o&&o.style;)try{r=e.css(o,"backgroundColor"),o=o.parentNode}catch(h){}n=n.blend(r&&"transparent"!==r?r:"_default")}n=n.toRgbaString()}try{t.style[i]=n}catch(h){}}},e.fx.step[i]=function(t){t.colorInit||(t.start=l(t.elem,i),t.end=l(t.end),t.colorInit=!0),e.cssHooks[i].set(t.elem,t.start.transition(t.end,t.pos))}})},l.hook(o),e.cssHooks.borderColor={expand:function(e){var t={};return f(["Top","Right","Bottom","Left"],function(i,s){t["border"+s+"Color"]=e}),t}},a=e.Color.names={aqua:"#00ffff",black:"#000000",blue:"#0000ff",fuchsia:"#ff00ff",gray:"#808080",green:"#008000",lime:"#00ff00",maroon:"#800000",navy:"#000080",olive:"#808000",purple:"#800080",red:"#ff0000",silver:"#c0c0c0",teal:"#008080",white:"#ffffff",yellow:"#ffff00",transparent:[null,null,null,0],_default:"#ffffff"}}(p),function(){function t(t){var i,s,n=t.ownerDocument.defaultView?t.ownerDocument.defaultView.getComputedStyle(t,null):t.currentStyle,a={};if(n&&n.length&&n[0]&&n[n[0]])for(s=n.length;s--;)i=n[s],"string"==typeof n[i]&&(a[e.camelCase(i)]=n[i]);else for(i in n)"string"==typeof n[i]&&(a[i]=n[i]);return a}function i(t,i){var s,a,o={};for(s in i)a=i[s],t[s]!==a&&(n[s]||(e.fx.step[s]||!isNaN(parseFloat(a)))&&(o[s]=a));return o}var s=["add","remove","toggle"],n={border:1,borderBottom:1,borderColor:1,borderLeft:1,borderRight:1,borderTop:1,borderWidth:1,margin:1,padding:1};e.each(["borderLeftStyle","borderRightStyle","borderBottomStyle","borderTopStyle"],function(t,i){e.fx.step[i]=function(e){("none"!==e.end&&!e.setAttr||1===e.pos&&!e.setAttr)&&(p.style(e.elem,i,e.end),e.setAttr=!0)}}),e.fn.addBack||(e.fn.addBack=function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}),e.effects.animateClass=function(n,a,o,r){var h=e.speed(a,o,r);return this.queue(function(){var a,o=e(this),r=o.attr("class")||"",l=h.children?o.find("*").addBack():o;l=l.map(function(){var i=e(this);return{el:i,start:t(this)}}),a=function(){e.each(s,function(e,t){n[t]&&o[t+"Class"](n[t])})},a(),l=l.map(function(){return this.end=t(this.el[0]),this.diff=i(this.start,this.end),this}),o.attr("class",r),l=l.map(function(){var t=this,i=e.Deferred(),s=e.extend({},h,{queue:!1,complete:function(){i.resolve(t)}});return this.el.animate(this.diff,s),i.promise()}),e.when.apply(e,l.get()).done(function(){a(),e.each(arguments,function(){var t=this.el;e.each(this.diff,function(e){t.css(e,"")})}),h.complete.call(o[0])})})},e.fn.extend({addClass:function(t){return function(i,s,n,a){return s?e.effects.animateClass.call(this,{add:i},s,n,a):t.apply(this,arguments)}}(e.fn.addClass),removeClass:function(t){return function(i,s,n,a){return arguments.length>1?e.effects.animateClass.call(this,{remove:i},s,n,a):t.apply(this,arguments)}}(e.fn.removeClass),toggleClass:function(t){return function(i,s,n,a,o){return"boolean"==typeof s||void 0===s?n?e.effects.animateClass.call(this,s?{add:i}:{remove:i},n,a,o):t.apply(this,arguments):e.effects.animateClass.call(this,{toggle:i},s,n,a)}}(e.fn.toggleClass),switchClass:function(t,i,s,n,a){return e.effects.animateClass.call(this,{add:i,remove:t},s,n,a)}})}(),function(){function t(t,i,s,n){return e.isPlainObject(t)&&(i=t,t=t.effect),t={effect:t},null==i&&(i={}),e.isFunction(i)&&(n=i,s=null,i={}),("number"==typeof i||e.fx.speeds[i])&&(n=s,s=i,i={}),e.isFunction(s)&&(n=s,s=null),i&&e.extend(t,i),s=s||i.duration,t.duration=e.fx.off?0:"number"==typeof s?s:s in e.fx.speeds?e.fx.speeds[s]:e.fx.speeds._default,t.complete=n||i.complete,t}function i(t){return!t||"number"==typeof t||e.fx.speeds[t]?!0:"string"!=typeof t||e.effects.effect[t]?e.isFunction(t)?!0:"object"!=typeof t||t.effect?!1:!0:!0}e.extend(e.effects,{version:"1.11.4",save:function(e,t){for(var i=0;t.length>i;i++)null!==t[i]&&e.data(c+t[i],e[0].style[t[i]])},restore:function(e,t){var i,s;for(s=0;t.length>s;s++)null!==t[s]&&(i=e.data(c+t[s]),void 0===i&&(i=""),e.css(t[s],i))},setMode:function(e,t){return"toggle"===t&&(t=e.is(":hidden")?"show":"hide"),t},getBaseline:function(e,t){var i,s;switch(e[0]){case"top":i=0;break;case"middle":i=.5;break;case"bottom":i=1;break;default:i=e[0]/t.height}switch(e[1]){case"left":s=0;break;case"center":s=.5;break;case"right":s=1;break;default:s=e[1]/t.width}return{x:s,y:i}},createWrapper:function(t){if(t.parent().is(".ui-effects-wrapper"))return t.parent();var i={width:t.outerWidth(!0),height:t.outerHeight(!0),"float":t.css("float")},s=e("<div></div>").addClass("ui-effects-wrapper").css({fontSize:"100%",background:"transparent",border:"none",margin:0,padding:0}),n={width:t.width(),height:t.height()},a=document.activeElement;try{a.id}catch(o){a=document.body}return t.wrap(s),(t[0]===a||e.contains(t[0],a))&&e(a).focus(),s=t.parent(),"static"===t.css("position")?(s.css({position:"relative"}),t.css({position:"relative"})):(e.extend(i,{position:t.css("position"),zIndex:t.css("z-index")}),e.each(["top","left","bottom","right"],function(e,s){i[s]=t.css(s),isNaN(parseInt(i[s],10))&&(i[s]="auto")}),t.css({position:"relative",top:0,left:0,right:"auto",bottom:"auto"})),t.css(n),s.css(i).show()},removeWrapper:function(t){var i=document.activeElement;return t.parent().is(".ui-effects-wrapper")&&(t.parent().replaceWith(t),(t[0]===i||e.contains(t[0],i))&&e(i).focus()),t},setTransition:function(t,i,s,n){return n=n||{},e.each(i,function(e,i){var a=t.cssUnit(i);a[0]>0&&(n[i]=a[0]*s+a[1])}),n}}),e.fn.extend({effect:function(){function i(t){function i(){e.isFunction(a)&&a.call(n[0]),e.isFunction(t)&&t()}var n=e(this),a=s.complete,r=s.mode;(n.is(":hidden")?"hide"===r:"show"===r)?(n[r](),i()):o.call(n[0],s,i)}var s=t.apply(this,arguments),n=s.mode,a=s.queue,o=e.effects.effect[s.effect];return e.fx.off||!o?n?this[n](s.duration,s.complete):this.each(function(){s.complete&&s.complete.call(this)}):a===!1?this.each(i):this.queue(a||"fx",i)},show:function(e){return function(s){if(i(s))return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="show",this.effect.call(this,n)}}(e.fn.show),hide:function(e){return function(s){if(i(s))return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="hide",this.effect.call(this,n)}}(e.fn.hide),toggle:function(e){return function(s){if(i(s)||"boolean"==typeof s)return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="toggle",this.effect.call(this,n)}}(e.fn.toggle),cssUnit:function(t){var i=this.css(t),s=[];return e.each(["em","px","%","pt"],function(e,t){i.indexOf(t)>0&&(s=[parseFloat(i),t])}),s}})}(),function(){var t={};e.each(["Quad","Cubic","Quart","Quint","Expo"],function(e,i){t[i]=function(t){return Math.pow(t,e+2)}}),e.extend(t,{Sine:function(e){return 1-Math.cos(e*Math.PI/2)},Circ:function(e){return 1-Math.sqrt(1-e*e)},Elastic:function(e){return 0===e||1===e?e:-Math.pow(2,8*(e-1))*Math.sin((80*(e-1)-7.5)*Math.PI/15)},Back:function(e){return e*e*(3*e-2)},Bounce:function(e){for(var t,i=4;((t=Math.pow(2,--i))-1)/11>e;);return 1/Math.pow(4,3-i)-7.5625*Math.pow((3*t-2)/22-e,2)}}),e.each(t,function(t,i){e.easing["easeIn"+t]=i,e.easing["easeOut"+t]=function(e){return 1-i(1-e)},e.easing["easeInOut"+t]=function(e){return.5>e?i(2*e)/2:1-i(-2*e+2)/2}})}(),e.effects,e.effects.effect.blind=function(t,i){var s,n,a,o=e(this),r=/up|down|vertical/,h=/up|left|vertical|horizontal/,l=["position","top","bottom","left","right","height","width"],u=e.effects.setMode(o,t.mode||"hide"),d=t.direction||"up",c=r.test(d),p=c?"height":"width",f=c?"top":"left",m=h.test(d),g={},v="show"===u;o.parent().is(".ui-effects-wrapper")?e.effects.save(o.parent(),l):e.effects.save(o,l),o.show(),s=e.effects.createWrapper(o).css({overflow:"hidden"}),n=s[p](),a=parseFloat(s.css(f))||0,g[p]=v?n:0,m||(o.css(c?"bottom":"right",0).css(c?"top":"left","auto").css({position:"absolute"}),g[f]=v?a:n+a),v&&(s.css(p,0),m||s.css(f,a+n)),s.animate(g,{duration:t.duration,easing:t.easing,queue:!1,complete:function(){"hide"===u&&o.hide(),e.effects.restore(o,l),e.effects.removeWrapper(o),i()
+}})},e.effects.effect.bounce=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","height","width"],h=e.effects.setMode(o,t.mode||"effect"),l="hide"===h,u="show"===h,d=t.direction||"up",c=t.distance,p=t.times||5,f=2*p+(u||l?1:0),m=t.duration/f,g=t.easing,v="up"===d||"down"===d?"top":"left",y="up"===d||"left"===d,b=o.queue(),_=b.length;for((u||l)&&r.push("opacity"),e.effects.save(o,r),o.show(),e.effects.createWrapper(o),c||(c=o["top"===v?"outerHeight":"outerWidth"]()/3),u&&(a={opacity:1},a[v]=0,o.css("opacity",0).css(v,y?2*-c:2*c).animate(a,m,g)),l&&(c/=Math.pow(2,p-1)),a={},a[v]=0,s=0;p>s;s++)n={},n[v]=(y?"-=":"+=")+c,o.animate(n,m,g).animate(a,m,g),c=l?2*c:c/2;l&&(n={opacity:0},n[v]=(y?"-=":"+=")+c,o.animate(n,m,g)),o.queue(function(){l&&o.hide(),e.effects.restore(o,r),e.effects.removeWrapper(o),i()}),_>1&&b.splice.apply(b,[1,0].concat(b.splice(_,f+1))),o.dequeue()},e.effects.effect.clip=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","height","width"],h=e.effects.setMode(o,t.mode||"hide"),l="show"===h,u=t.direction||"vertical",d="vertical"===u,c=d?"height":"width",p=d?"top":"left",f={};e.effects.save(o,r),o.show(),s=e.effects.createWrapper(o).css({overflow:"hidden"}),n="IMG"===o[0].tagName?s:o,a=n[c](),l&&(n.css(c,0),n.css(p,a/2)),f[c]=l?a:0,f[p]=l?0:a/2,n.animate(f,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){l||o.hide(),e.effects.restore(o,r),e.effects.removeWrapper(o),i()}})},e.effects.effect.drop=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","opacity","height","width"],o=e.effects.setMode(n,t.mode||"hide"),r="show"===o,h=t.direction||"left",l="up"===h||"down"===h?"top":"left",u="up"===h||"left"===h?"pos":"neg",d={opacity:r?1:0};e.effects.save(n,a),n.show(),e.effects.createWrapper(n),s=t.distance||n["top"===l?"outerHeight":"outerWidth"](!0)/2,r&&n.css("opacity",0).css(l,"pos"===u?-s:s),d[l]=(r?"pos"===u?"+=":"-=":"pos"===u?"-=":"+=")+s,n.animate(d,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}})},e.effects.effect.explode=function(t,i){function s(){b.push(this),b.length===d*c&&n()}function n(){p.css({visibility:"visible"}),e(b).remove(),m||p.hide(),i()}var a,o,r,h,l,u,d=t.pieces?Math.round(Math.sqrt(t.pieces)):3,c=d,p=e(this),f=e.effects.setMode(p,t.mode||"hide"),m="show"===f,g=p.show().css("visibility","hidden").offset(),v=Math.ceil(p.outerWidth()/c),y=Math.ceil(p.outerHeight()/d),b=[];for(a=0;d>a;a++)for(h=g.top+a*y,u=a-(d-1)/2,o=0;c>o;o++)r=g.left+o*v,l=o-(c-1)/2,p.clone().appendTo("body").wrap("<div></div>").css({position:"absolute",visibility:"visible",left:-o*v,top:-a*y}).parent().addClass("ui-effects-explode").css({position:"absolute",overflow:"hidden",width:v,height:y,left:r+(m?l*v:0),top:h+(m?u*y:0),opacity:m?0:1}).animate({left:r+(m?0:l*v),top:h+(m?0:u*y),opacity:m?1:0},t.duration||500,t.easing,s)},e.effects.effect.fade=function(t,i){var s=e(this),n=e.effects.setMode(s,t.mode||"toggle");s.animate({opacity:n},{queue:!1,duration:t.duration,easing:t.easing,complete:i})},e.effects.effect.fold=function(t,i){var s,n,a=e(this),o=["position","top","bottom","left","right","height","width"],r=e.effects.setMode(a,t.mode||"hide"),h="show"===r,l="hide"===r,u=t.size||15,d=/([0-9]+)%/.exec(u),c=!!t.horizFirst,p=h!==c,f=p?["width","height"]:["height","width"],m=t.duration/2,g={},v={};e.effects.save(a,o),a.show(),s=e.effects.createWrapper(a).css({overflow:"hidden"}),n=p?[s.width(),s.height()]:[s.height(),s.width()],d&&(u=parseInt(d[1],10)/100*n[l?0:1]),h&&s.css(c?{height:0,width:u}:{height:u,width:0}),g[f[0]]=h?n[0]:u,v[f[1]]=h?n[1]:0,s.animate(g,m,t.easing).animate(v,m,t.easing,function(){l&&a.hide(),e.effects.restore(a,o),e.effects.removeWrapper(a),i()})},e.effects.effect.highlight=function(t,i){var s=e(this),n=["backgroundImage","backgroundColor","opacity"],a=e.effects.setMode(s,t.mode||"show"),o={backgroundColor:s.css("backgroundColor")};"hide"===a&&(o.opacity=0),e.effects.save(s,n),s.show().css({backgroundImage:"none",backgroundColor:t.color||"#ffff99"}).animate(o,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===a&&s.hide(),e.effects.restore(s,n),i()}})},e.effects.effect.size=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","width","height","overflow","opacity"],h=["position","top","bottom","left","right","overflow","opacity"],l=["width","height","overflow"],u=["fontSize"],d=["borderTopWidth","borderBottomWidth","paddingTop","paddingBottom"],c=["borderLeftWidth","borderRightWidth","paddingLeft","paddingRight"],p=e.effects.setMode(o,t.mode||"effect"),f=t.restore||"effect"!==p,m=t.scale||"both",g=t.origin||["middle","center"],v=o.css("position"),y=f?r:h,b={height:0,width:0,outerHeight:0,outerWidth:0};"show"===p&&o.show(),s={height:o.height(),width:o.width(),outerHeight:o.outerHeight(),outerWidth:o.outerWidth()},"toggle"===t.mode&&"show"===p?(o.from=t.to||b,o.to=t.from||s):(o.from=t.from||("show"===p?b:s),o.to=t.to||("hide"===p?b:s)),a={from:{y:o.from.height/s.height,x:o.from.width/s.width},to:{y:o.to.height/s.height,x:o.to.width/s.width}},("box"===m||"both"===m)&&(a.from.y!==a.to.y&&(y=y.concat(d),o.from=e.effects.setTransition(o,d,a.from.y,o.from),o.to=e.effects.setTransition(o,d,a.to.y,o.to)),a.from.x!==a.to.x&&(y=y.concat(c),o.from=e.effects.setTransition(o,c,a.from.x,o.from),o.to=e.effects.setTransition(o,c,a.to.x,o.to))),("content"===m||"both"===m)&&a.from.y!==a.to.y&&(y=y.concat(u).concat(l),o.from=e.effects.setTransition(o,u,a.from.y,o.from),o.to=e.effects.setTransition(o,u,a.to.y,o.to)),e.effects.save(o,y),o.show(),e.effects.createWrapper(o),o.css("overflow","hidden").css(o.from),g&&(n=e.effects.getBaseline(g,s),o.from.top=(s.outerHeight-o.outerHeight())*n.y,o.from.left=(s.outerWidth-o.outerWidth())*n.x,o.to.top=(s.outerHeight-o.to.outerHeight)*n.y,o.to.left=(s.outerWidth-o.to.outerWidth)*n.x),o.css(o.from),("content"===m||"both"===m)&&(d=d.concat(["marginTop","marginBottom"]).concat(u),c=c.concat(["marginLeft","marginRight"]),l=r.concat(d).concat(c),o.find("*[width]").each(function(){var i=e(this),s={height:i.height(),width:i.width(),outerHeight:i.outerHeight(),outerWidth:i.outerWidth()};f&&e.effects.save(i,l),i.from={height:s.height*a.from.y,width:s.width*a.from.x,outerHeight:s.outerHeight*a.from.y,outerWidth:s.outerWidth*a.from.x},i.to={height:s.height*a.to.y,width:s.width*a.to.x,outerHeight:s.height*a.to.y,outerWidth:s.width*a.to.x},a.from.y!==a.to.y&&(i.from=e.effects.setTransition(i,d,a.from.y,i.from),i.to=e.effects.setTransition(i,d,a.to.y,i.to)),a.from.x!==a.to.x&&(i.from=e.effects.setTransition(i,c,a.from.x,i.from),i.to=e.effects.setTransition(i,c,a.to.x,i.to)),i.css(i.from),i.animate(i.to,t.duration,t.easing,function(){f&&e.effects.restore(i,l)})})),o.animate(o.to,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){0===o.to.opacity&&o.css("opacity",o.from.opacity),"hide"===p&&o.hide(),e.effects.restore(o,y),f||("static"===v?o.css({position:"relative",top:o.to.top,left:o.to.left}):e.each(["top","left"],function(e,t){o.css(t,function(t,i){var s=parseInt(i,10),n=e?o.to.left:o.to.top;return"auto"===i?n+"px":s+n+"px"})})),e.effects.removeWrapper(o),i()}})},e.effects.effect.scale=function(t,i){var s=e(this),n=e.extend(!0,{},t),a=e.effects.setMode(s,t.mode||"effect"),o=parseInt(t.percent,10)||(0===parseInt(t.percent,10)?0:"hide"===a?0:100),r=t.direction||"both",h=t.origin,l={height:s.height(),width:s.width(),outerHeight:s.outerHeight(),outerWidth:s.outerWidth()},u={y:"horizontal"!==r?o/100:1,x:"vertical"!==r?o/100:1};n.effect="size",n.queue=!1,n.complete=i,"effect"!==a&&(n.origin=h||["middle","center"],n.restore=!0),n.from=t.from||("show"===a?{height:0,width:0,outerHeight:0,outerWidth:0}:l),n.to={height:l.height*u.y,width:l.width*u.x,outerHeight:l.outerHeight*u.y,outerWidth:l.outerWidth*u.x},n.fade&&("show"===a&&(n.from.opacity=0,n.to.opacity=1),"hide"===a&&(n.from.opacity=1,n.to.opacity=0)),s.effect(n)},e.effects.effect.puff=function(t,i){var s=e(this),n=e.effects.setMode(s,t.mode||"hide"),a="hide"===n,o=parseInt(t.percent,10)||150,r=o/100,h={height:s.height(),width:s.width(),outerHeight:s.outerHeight(),outerWidth:s.outerWidth()};e.extend(t,{effect:"scale",queue:!1,fade:!0,mode:n,complete:i,percent:a?o:100,from:a?h:{height:h.height*r,width:h.width*r,outerHeight:h.outerHeight*r,outerWidth:h.outerWidth*r}}),s.effect(t)},e.effects.effect.pulsate=function(t,i){var s,n=e(this),a=e.effects.setMode(n,t.mode||"show"),o="show"===a,r="hide"===a,h=o||"hide"===a,l=2*(t.times||5)+(h?1:0),u=t.duration/l,d=0,c=n.queue(),p=c.length;for((o||!n.is(":visible"))&&(n.css("opacity",0).show(),d=1),s=1;l>s;s++)n.animate({opacity:d},u,t.easing),d=1-d;n.animate({opacity:d},u,t.easing),n.queue(function(){r&&n.hide(),i()}),p>1&&c.splice.apply(c,[1,0].concat(c.splice(p,l+1))),n.dequeue()},e.effects.effect.shake=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","height","width"],o=e.effects.setMode(n,t.mode||"effect"),r=t.direction||"left",h=t.distance||20,l=t.times||3,u=2*l+1,d=Math.round(t.duration/u),c="up"===r||"down"===r?"top":"left",p="up"===r||"left"===r,f={},m={},g={},v=n.queue(),y=v.length;for(e.effects.save(n,a),n.show(),e.effects.createWrapper(n),f[c]=(p?"-=":"+=")+h,m[c]=(p?"+=":"-=")+2*h,g[c]=(p?"-=":"+=")+2*h,n.animate(f,d,t.easing),s=1;l>s;s++)n.animate(m,d,t.easing).animate(g,d,t.easing);n.animate(m,d,t.easing).animate(f,d/2,t.easing).queue(function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}),y>1&&v.splice.apply(v,[1,0].concat(v.splice(y,u+1))),n.dequeue()},e.effects.effect.slide=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","width","height"],o=e.effects.setMode(n,t.mode||"show"),r="show"===o,h=t.direction||"left",l="up"===h||"down"===h?"top":"left",u="up"===h||"left"===h,d={};e.effects.save(n,a),n.show(),s=t.distance||n["top"===l?"outerHeight":"outerWidth"](!0),e.effects.createWrapper(n).css({overflow:"hidden"}),r&&n.css(l,u?isNaN(s)?"-"+s:-s:s),d[l]=(r?u?"+=":"-=":u?"-=":"+=")+s,n.animate(d,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}})},e.effects.effect.transfer=function(t,i){var s=e(this),n=e(t.to),a="fixed"===n.css("position"),o=e("body"),r=a?o.scrollTop():0,h=a?o.scrollLeft():0,l=n.offset(),u={top:l.top-r,left:l.left-h,height:n.innerHeight(),width:n.innerWidth()},d=s.offset(),c=e("<div class='ui-effects-transfer'></div>").appendTo(document.body).addClass(t.className).css({top:d.top-r,left:d.left-h,height:s.innerHeight(),width:s.innerWidth(),position:a?"fixed":"absolute"}).animate(u,t.duration,t.easing,function(){c.remove(),i()})}});</script>
+<style type="text/css">
+
+.tocify {
+width: 20%;
+max-height: 90%;
+overflow: auto;
+margin-left: 2%;
+position: fixed;
+border: 1px solid #ccc;
+border-radius: 6px;
+}
+
+.tocify ul, .tocify li {
+list-style: none;
+margin: 0;
+padding: 0;
+border: none;
+line-height: 30px;
+}
+
+.tocify-header {
+text-indent: 10px;
+}
+
+.tocify-subheader {
+text-indent: 20px;
+display: none;
+}
+
+.tocify-subheader li {
+font-size: 12px;
+}
+
+.tocify-subheader .tocify-subheader {
+text-indent: 30px;
+}
+.tocify-subheader .tocify-subheader .tocify-subheader {
+text-indent: 40px;
+}
+.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
+text-indent: 50px;
+}
+.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
+text-indent: 60px;
+}
+
+.tocify .tocify-item > a, .tocify .nav-list .nav-header {
+margin: 0px;
+}
+
+.tocify .tocify-item a, .tocify .list-group-item {
+padding: 5px;
+}
+.tocify .nav-pills > li {
+float: none;
+}
+
+
+</style>
+<script>/* jquery Tocify - v1.9.1 - 2013-10-22
+ * http://www.gregfranko.com/jquery.tocify.js/
+ * Copyright (c) 2013 Greg Franko; Licensed MIT */
+
+// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic.  I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE.
+(function(tocify) {
+
+    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
+    "use strict";
+
+    // Calls the second IIFE and locally passes in the global jQuery, window, and document objects
+    tocify(window.jQuery, window, document);
+
+  }
+
+  // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable.  The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set.  All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript.
+  (function($, window, document, undefined) {
+
+    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
+    "use strict";
+
+    var tocClassName = "tocify",
+      tocClass = "." + tocClassName,
+      tocFocusClassName = "tocify-focus",
+      tocHoverClassName = "tocify-hover",
+      hideTocClassName = "tocify-hide",
+      hideTocClass = "." + hideTocClassName,
+      headerClassName = "tocify-header",
+      headerClass = "." + headerClassName,
+      subheaderClassName = "tocify-subheader",
+      subheaderClass = "." + subheaderClassName,
+      itemClassName = "tocify-item",
+      itemClass = "." + itemClassName,
+      extendPageClassName = "tocify-extend-page",
+      extendPageClass = "." + extendPageClassName;
+
+    // Calling the jQueryUI Widget Factory Method
+    $.widget("toc.tocify", {
+
+      //Plugin version
+      version: "1.9.1",
+
+      // These options will be used as defaults
+      options: {
+
+        // **context**: Accepts String: Any jQuery selector
+        // The container element that holds all of the elements used to generate the table of contents
+        context: "body",
+
+        // **ignoreSelector**: Accepts String: Any jQuery selector
+        // A selector to any element that would be matched by selectors that you wish to be ignored
+        ignoreSelector: null,
+
+        // **selectors**: Accepts an Array of Strings: Any jQuery selectors
+        // The element's used to generate the table of contents.  The order is very important since it will determine the table of content's nesting structure
+        selectors: "h1, h2, h3",
+
+        // **showAndHide**: Accepts a boolean: true or false
+        // Used to determine if elements should be shown and hidden
+        showAndHide: true,
+
+        // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown"
+        // Used to display any of the table of contents nested items
+        showEffect: "slideDown",
+
+        // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
+        // The time duration of the show animation
+        showEffectSpeed: "medium",
+
+        // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp"
+        // Used to hide any of the table of contents nested items
+        hideEffect: "slideUp",
+
+        // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
+        // The time duration of the hide animation
+        hideEffectSpeed: "medium",
+
+        // **smoothScroll**: Accepts a boolean: true or false
+        // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page
+        smoothScroll: true,
+
+        // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
+        // The time duration of the smoothScroll animation
+        smoothScrollSpeed: "medium",
+
+        // **scrollTo**: Accepts Number (pixels)
+        // The amount of space between the top of page and the selected table of contents item after the page has been scrolled
+        scrollTo: 0,
+
+        // **showAndHideOnScroll**: Accepts a boolean: true or false
+        // Determines if table of contents nested items should be shown and hidden while scrolling
+        showAndHideOnScroll: true,
+
+        // **highlightOnScroll**: Accepts a boolean: true or false
+        // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling
+        highlightOnScroll: true,
+
+        // **highlightOffset**: Accepts a number
+        // The offset distance in pixels to trigger the next active table of contents item
+        highlightOffset: 40,
+
+        // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none"
+        // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents
+        theme: "bootstrap",
+
+        // **extendPage**: Accepts a boolean: true or false
+        // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased
+        extendPage: true,
+
+        // **extendPageOffset**: Accepts a number: pixels
+        // How close to the bottom of the page a user must scroll before the page is extended
+        extendPageOffset: 100,
+
+        // **history**: Accepts a boolean: true or false
+        // Adds a hash to the page url to maintain history
+        history: true,
+
+        // **scrollHistory**: Accepts a boolean: true or false
+        // Adds a hash to the page url, to maintain history, when scrolling to a TOC item
+        scrollHistory: false,
+
+        // **hashGenerator**: How the hash value (the anchor segment of the URL, following the
+        // # character) will be generated.
+        //
+        // "compact" (default) - #CompressesEverythingTogether
+        // "pretty" - #looks-like-a-nice-url-and-is-easily-readable
+        // function(text, element){} - Your own hash generation function that accepts the text as an
+        // argument, and returns the hash value.
+        hashGenerator: "compact",
+
+        // **highlightDefault**: Accepts a boolean: true or false
+        // Set's the first TOC item as active if no other TOC item is active.
+        highlightDefault: true
+
+      },
+
+      // _Create
+      // -------
+      //      Constructs the plugin.  Only called once.
+      _create: function() {
+
+        var self = this;
+
+        self.extendPageScroll = true;
+
+        // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings)
+        self.items = [];
+
+        // Generates the HTML for the dynamic table of contents
+        self._generateToc();
+
+        // Adds CSS classes to the newly generated table of contents HTML
+        self._addCSSClasses();
+
+        self.webkit = (function() {
+
+          for (var prop in window) {
+
+            if (prop) {
+
+              if (prop.toLowerCase().indexOf("webkit") !== -1) {
+
+                return true;
+
+              }
+
+            }
+
+          }
+
+          return false;
+
+        }());
+
+        // Adds jQuery event handlers to the newly generated table of contents
+        self._setEventHandlers();
+
+        // Binding to the Window load event to make sure the correct scrollTop is calculated
+        $(window).on("load", function() {
+
+          // Sets the active TOC item
+          self._setActiveElement(true);
+
+          // Once all animations on the page are complete, this callback function will be called
+          $("html, body").promise().done(function() {
+
+            setTimeout(function() {
+
+              self.extendPageScroll = false;
+
+            }, 0);
+
+          });
+
+        });
+
+      },
+
+      // _generateToc
+      // ------------
+      //      Generates the HTML for the dynamic table of contents
+      _generateToc: function() {
+
+        // _Local variables_
+
+        // Stores the plugin context in the self variable
+        var self = this,
+
+          // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above
+          firstElem,
+
+          // Instantiated variable that will store the top level newly created unordered list DOM element
+          ul,
+          ignoreSelector = self.options.ignoreSelector;
+
+
+        // Determine the element to start the toc with
+        // get all the top level selectors
+        firstElem = [];
+        var selectors = this.options.selectors.replace(/ /g, "").split(",");
+        // find the first set that have at least one non-ignored element
+        for(var i = 0; i < selectors.length; i++) {
+          var foundSelectors = $(this.options.context).find(selectors[i]);
+          for (var s = 0; s < foundSelectors.length; s++) {
+            if (!$(foundSelectors[s]).is(ignoreSelector)) {
+              firstElem = foundSelectors;
+              break;
+            }
+          }
+          if (firstElem.length> 0)
+            break;
+        }
+
+        if (!firstElem.length) {
+
+          self.element.addClass(hideTocClassName);
+
+          return;
+
+        }
+
+        self.element.addClass(tocClassName);
+
+        // Loops through each top level selector
+        firstElem.each(function(index) {
+
+          //If the element matches the ignoreSelector then we skip it
+          if ($(this).is(ignoreSelector)) {
+            return;
+          }
+
+          // Creates an unordered list HTML element and adds a dynamic ID and standard class name
+          ul = $("<ul/>", {
+            "id": headerClassName + index,
+            "class": headerClassName
+          }).
+
+          // Appends a top level list item HTML element to the previously created HTML header
+          append(self._nestElements($(this), index));
+
+          // Add the created unordered list element to the HTML element calling the plugin
+          self.element.append(ul);
+
+          // Finds all of the HTML tags between the header and subheader elements
+          $(this).nextUntil(this.nodeName.toLowerCase()).each(function() {
+
+            // If there are no nested subheader elemements
+            if ($(this).find(self.options.selectors).length === 0) {
+
+              // Loops through all of the subheader elements
+              $(this).filter(self.options.selectors).each(function() {
+
+                //If the element matches the ignoreSelector then we skip it
+                if ($(this).is(ignoreSelector)) {
+                  return;
+                }
+
+                self._appendSubheaders.call(this, self, ul);
+
+              });
+
+            }
+
+            // If there are nested subheader elements
+            else {
+
+              // Loops through all of the subheader elements
+              $(this).find(self.options.selectors).each(function() {
+
+                //If the element matches the ignoreSelector then we skip it
+                if ($(this).is(ignoreSelector)) {
+                  return;
+                }
+
+                self._appendSubheaders.call(this, self, ul);
+
+              });
+
+            }
+
+          });
+
+        });
+
+      },
+
+      _setActiveElement: function(pageload) {
+
+        var self = this,
+
+          hash = window.location.hash.substring(1),
+
+          elem = self.element.find('li[data-unique="' + hash + '"]');
+
+        if (hash.length) {
+
+          // Removes highlighting from all of the list item's
+          self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+          // Highlights the current list item that was clicked
+          elem.addClass(self.focusClass);
+
+          // Triggers the click event on the currently focused TOC item
+          elem.click();
+
+        } else {
+
+          // Removes highlighting from all of the list item's
+          self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+          if (!hash.length && pageload && self.options.highlightDefault) {
+
+            // Highlights the first TOC item if no other items are highlighted
+            self.element.find(itemClass).first().addClass(self.focusClass);
+
+          }
+
+        }
+
+        return self;
+
+      },
+
+      // _nestElements
+      // -------------
+      //      Helps create the table of contents list by appending nested list items
+      _nestElements: function(self, index) {
+
+        var arr, item, hashValue;
+
+        arr = $.grep(this.items, function(item) {
+
+          return item === self.text();
+
+        });
+
+        // If there is already a duplicate TOC item
+        if (arr.length) {
+
+          // Adds the current TOC item text and index (for slight randomization) to the internal array
+          this.items.push(self.text() + index);
+
+        }
+
+        // If there not a duplicate TOC item
+        else {
+
+          // Adds the current TOC item text to the internal array
+          this.items.push(self.text());
+
+        }
+
+        hashValue = this._generateHashValue(arr, self, index);
+
+        // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
+        item = $("<li/>", {
+
+          // Sets a common class name to the list item
+          "class": itemClassName,
+
+          "data-unique": hashValue
+
+        });
+
+        if (this.options.theme !== "bootstrap3") {
+
+          item.append($("<a/>", {
+
+            "html": self.html()
+
+          }));
+
+        } else {
+
+          item.html(self.html());
+
+        }
+
+        // Adds an HTML anchor tag before the currently traversed HTML element
+        self.before($("<div/>", {
+
+          // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore)
+          "name": hashValue,
+
+          "data-unique": hashValue
+
+        }));
+
+        return item;
+
+      },
+
+      // _generateHashValue
+      // ------------------
+      //      Generates the hash value that will be used to refer to each item.
+      _generateHashValue: function(arr, self, index) {
+
+        var hashValue = "",
+          hashGeneratorOption = this.options.hashGenerator;
+
+        if (hashGeneratorOption === "pretty") {
+
+          // prettify the text
+          hashValue = self.text().toLowerCase().replace(/\s/g, "-");
+
+          // fix double hyphens
+          while (hashValue.indexOf("--") > -1) {
+            hashValue = hashValue.replace(/--/g, "-");
+          }
+
+          // fix colon-space instances
+          while (hashValue.indexOf(":-") > -1) {
+            hashValue = hashValue.replace(/:-/g, "-");
+          }
+
+        } else if (typeof hashGeneratorOption === "function") {
+
+          // call the function
+          hashValue = hashGeneratorOption(self.text(), self);
+
+        } else {
+
+          // compact - the default
+          hashValue = self.text().replace(/\s/g, "");
+
+        }
+
+        // add the index if we need to
+        if (arr.length) {
+          hashValue += "" + index;
+        }
+
+        // return the value
+        return hashValue;
+
+      },
+
+      // _appendElements
+      // ---------------
+      //      Helps create the table of contents list by appending subheader elements
+
+      _appendSubheaders: function(self, ul) {
+
+        // The current element index
+        var index = $(this).index(self.options.selectors),
+
+          // Finds the previous header DOM element
+          previousHeader = $(self.options.selectors).eq(index - 1),
+
+          currentTagName = +$(this).prop("tagName").charAt(1),
+
+          previousTagName = +previousHeader.prop("tagName").charAt(1),
+
+          lastSubheader;
+
+        // If the current header DOM element is smaller than the previous header DOM element or the first subheader
+        if (currentTagName < previousTagName) {
+
+          // Selects the last unordered list HTML found within the HTML element calling the plugin
+          self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index));
+
+        }
+
+        // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element
+        else if (currentTagName === previousTagName) {
+
+          ul.find(itemClass).last().after(self._nestElements($(this), index));
+
+        } else {
+
+          // Selects the last unordered list HTML found within the HTML element calling the plugin
+          ul.find(itemClass).last().
+
+          // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name
+          after($("<ul/>", {
+
+            "class": subheaderClassName,
+
+            "data-tag": currentTagName
+
+          })).next(subheaderClass).
+
+          // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
+          append(self._nestElements($(this), index));
+        }
+
+      },
+
+      // _setEventHandlers
+      // ----------------
+      //      Adds jQuery event handlers to the newly generated table of contents
+      _setEventHandlers: function() {
+
+        // _Local variables_
+
+        // Stores the plugin context in the self variable
+        var self = this,
+
+          // Instantiates a new variable that will be used to hold a specific element's context
+          $self,
+
+          // Instantiates a new variable that will be used to determine the smoothScroll animation time duration
+          duration;
+
+        // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin
+        this.element.on("click.tocify", "li", function(event) {
+
+          if (self.options.history) {
+
+            window.location.hash = $(this).attr("data-unique");
+
+          }
+
+          // Removes highlighting from all of the list item's
+          self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+          // Highlights the current list item that was clicked
+          $(this).addClass(self.focusClass);
+
+          // If the showAndHide option is true
+          if (self.options.showAndHide) {
+
+            var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]');
+
+            self._triggerShow(elem);
+
+          }
+
+          self._scrollTo($(this));
+
+        });
+
+        // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin
+        this.element.find("li").on({
+
+          // Mouseenter event handler
+          "mouseenter.tocify": function() {
+
+            // Adds a hover CSS class to the current list item
+            $(this).addClass(self.hoverClass);
+
+            // Makes sure the cursor is set to the pointer icon
+            $(this).css("cursor", "pointer");
+
+          },
+
+          // Mouseleave event handler
+          "mouseleave.tocify": function() {
+
+            if (self.options.theme !== "bootstrap") {
+
+              // Removes the hover CSS class from the current list item
+              $(this).removeClass(self.hoverClass);
+
+            }
+
+          }
+        });
+
+        // only attach handler if needed (expensive in IE)
+        if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) {
+          // Window scroll event handler
+          $(window).on("scroll.tocify", function() {
+
+            // Once all animations on the page are complete, this callback function will be called
+            $("html, body").promise().done(function() {
+
+              // Local variables
+
+              // Stores how far the user has scrolled
+              var winScrollTop = $(window).scrollTop(),
+
+                // Stores the height of the window
+                winHeight = $(window).height(),
+
+                // Stores the height of the document
+                docHeight = $(document).height(),
+
+                scrollHeight = $("body")[0].scrollHeight,
+
+                // Instantiates a variable that will be used to hold a selected HTML element
+                elem,
+
+                lastElem,
+
+                lastElemOffset,
+
+                currentElem;
+
+              if (self.options.extendPage) {
+
+                // If the user has scrolled to the bottom of the page and the last toc item is not focused
+                if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) {
+
+                  if (!$(extendPageClass).length) {
+
+                    lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]');
+
+                    if (!lastElem.length) return;
+
+                    // Gets the top offset of the page header that is linked to the last toc item
+                    lastElemOffset = lastElem.offset().top;
+
+                    // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset
+                    $(self.options.context).append($("<div/>", {
+
+                      "class": extendPageClassName,
+
+                      "height": Math.abs(lastElemOffset - winScrollTop) + "px",
+
+                      "data-unique": extendPageClassName
+
+                    }));
+
+                    if (self.extendPageScroll) {
+
+                      currentElem = self.element.find('li.' + self.focusClass);
+
+                      self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]'));
+
+                    }
+
+                  }
+
+                }
+
+              }
+
+              // The zero timeout ensures the following code is run after the scroll events
+              setTimeout(function() {
+
+                // _Local variables_
+
+                // Stores the distance to the closest anchor
+                var closestAnchorDistance = null,
+
+                  // Stores the index of the closest anchor
+                  closestAnchorIdx = null,
+
+                  // Keeps a reference to all anchors
+                  anchors = $(self.options.context).find("div[data-unique]"),
+
+                  anchorText;
+
+                // Determines the index of the closest anchor
+                anchors.each(function(idx) {
+                  var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset);
+                  if (closestAnchorDistance == null || distance < closestAnchorDistance) {
+                    closestAnchorDistance = distance;
+                    closestAnchorIdx = idx;
+                  } else {
+                    return false;
+                  }
+                });
+
+                anchorText = $(anchors[closestAnchorIdx]).attr("data-unique");
+
+                // Stores the list item HTML element that corresponds to the currently traversed anchor tag
+                elem = $('li[data-unique="' + anchorText + '"]');
+
+                // If the `highlightOnScroll` option is true and a next element is found
+                if (self.options.highlightOnScroll && elem.length) {
+
+                  // Removes highlighting from all of the list item's
+                  self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+                  // Highlights the corresponding list item
+                  elem.addClass(self.focusClass);
+
+                }
+
+                if (self.options.scrollHistory) {
+
+                  if (window.location.hash !== "#" + anchorText) {
+
+                    window.location.replace("#" + anchorText);
+
+                  }
+                }
+
+                // If the `showAndHideOnScroll` option is true
+                if (self.options.showAndHideOnScroll && self.options.showAndHide) {
+
+                  self._triggerShow(elem, true);
+
+                }
+
+              }, 0);
+
+            });
+
+          });
+        }
+
+      },
+
+      // Show
+      // ----
+      //      Opens the current sub-header
+      show: function(elem, scroll) {
+
+        // Stores the plugin context in the `self` variable
+        var self = this,
+          element = elem;
+
+        // If the sub-header is not already visible
+        if (!elem.is(":visible")) {
+
+          // If the current element does not have any nested subheaders, is not a header, and its parent is not visible
+          if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) {
+
+            // Sets the current element to all of the subheaders within the current header
+            elem = elem.parents(subheaderClass).add(elem);
+
+          }
+
+          // If the current element does not have any nested subheaders and is not a header
+          else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) {
+
+            // Sets the current element to the closest subheader
+            elem = elem.closest(subheaderClass);
+
+          }
+
+          //Determines what jQuery effect to use
+          switch (self.options.showEffect) {
+
+            //Uses `no effect`
+            case "none":
+
+              elem.show();
+
+              break;
+
+              //Uses the jQuery `show` special effect
+            case "show":
+
+              elem.show(self.options.showEffectSpeed);
+
+              break;
+
+              //Uses the jQuery `slideDown` special effect
+            case "slideDown":
+
+              elem.slideDown(self.options.showEffectSpeed);
+
+              break;
+
+              //Uses the jQuery `fadeIn` special effect
+            case "fadeIn":
+
+              elem.fadeIn(self.options.showEffectSpeed);
+
+              break;
+
+              //If none of the above options were passed, then a `jQueryUI show effect` is expected
+            default:
+
+              elem.show();
+
+              break;
+
+          }
+
+        }
+
+        // If the current subheader parent element is a header
+        if (elem.parent().is(headerClass)) {
+
+          // Hides all non-active sub-headers
+          self.hide($(subheaderClass).not(elem));
+
+        }
+
+        // If the current subheader parent element is not a header
+        else {
+
+          // Hides all non-active sub-headers
+          self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings())));
+
+        }
+
+        // Maintains chainablity
+        return self;
+
+      },
+
+      // Hide
+      // ----
+      //      Closes the current sub-header
+      hide: function(elem) {
+
+        // Stores the plugin context in the `self` variable
+        var self = this;
+
+        //Determines what jQuery effect to use
+        switch (self.options.hideEffect) {
+
+          // Uses `no effect`
+          case "none":
+
+            elem.hide();
+
+            break;
+
+            // Uses the jQuery `hide` special effect
+          case "hide":
+
+            elem.hide(self.options.hideEffectSpeed);
+
+            break;
+
+            // Uses the jQuery `slideUp` special effect
+          case "slideUp":
+
+            elem.slideUp(self.options.hideEffectSpeed);
+
+            break;
+
+            // Uses the jQuery `fadeOut` special effect
+          case "fadeOut":
+
+            elem.fadeOut(self.options.hideEffectSpeed);
+
+            break;
+
+            // If none of the above options were passed, then a `jqueryUI hide effect` is expected
+          default:
+
+            elem.hide();
+
+            break;
+
+        }
+
+        // Maintains chainablity
+        return self;
+      },
+
+      // _triggerShow
+      // ------------
+      //      Determines what elements get shown on scroll and click
+      _triggerShow: function(elem, scroll) {
+
+        var self = this;
+
+        // If the current element's parent is a header element or the next element is a nested subheader element
+        if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) {
+
+          // Shows the next sub-header element
+          self.show(elem.next(subheaderClass), scroll);
+
+        }
+
+        // If the current element's parent is a subheader element
+        else if (elem.parent().is(subheaderClass)) {
+
+          // Shows the parent sub-header element
+          self.show(elem.parent(), scroll);
+
+        }
+
+        // Maintains chainability
+        return self;
+
+      },
+
+      // _addCSSClasses
+      // --------------
+      //      Adds CSS classes to the newly generated table of contents HTML
+      _addCSSClasses: function() {
+
+        // If the user wants a jqueryUI theme
+        if (this.options.theme === "jqueryui") {
+
+          this.focusClass = "ui-state-default";
+
+          this.hoverClass = "ui-state-hover";
+
+          //Adds the default styling to the dropdown list
+          this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content");
+
+        }
+
+        // If the user wants a twitterBootstrap theme
+        else if (this.options.theme === "bootstrap") {
+
+          this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list");
+
+          this.focusClass = "active";
+
+        }
+
+        // If the user wants a twitterBootstrap theme
+        else if (this.options.theme === "bootstrap3") {
+
+          this.element.find(headerClass + "," + subheaderClass).addClass("list-group");
+
+          this.element.find(itemClass).addClass("list-group-item");
+
+          this.focusClass = "active";
+
+        }
+
+        // If a user does not want a prebuilt theme
+        else {
+
+          // Adds more neutral classes (instead of jqueryui)
+
+          this.focusClass = tocFocusClassName;
+
+          this.hoverClass = tocHoverClassName;
+
+        }
+
+        //Maintains chainability
+        return this;
+
+      },
+
+      // setOption
+      // ---------
+      //      Sets a single Tocify option after the plugin is invoked
+      setOption: function() {
+
+        // Calls the jQueryUI Widget Factory setOption method
+        $.Widget.prototype._setOption.apply(this, arguments);
+
+      },
+
+      // setOptions
+      // ----------
+      //      Sets a single or multiple Tocify options after the plugin is invoked
+      setOptions: function() {
+
+        // Calls the jQueryUI Widget Factory setOptions method
+        $.Widget.prototype._setOptions.apply(this, arguments);
+
+      },
+
+      // _scrollTo
+      // ---------
+      //      Scrolls to a specific element
+      _scrollTo: function(elem) {
+
+        var self = this,
+          duration = self.options.smoothScroll || 0,
+          scrollTo = self.options.scrollTo,
+          currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]');
+
+        if (!currentDiv.length) {
+
+          return self;
+
+        }
+
+        // Once all animations on the page are complete, this callback function will be called
+        $("html, body").promise().done(function() {
+
+          // Animates the html and body element scrolltops
+          $("html, body").animate({
+
+            // Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag
+            "scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px"
+
+          }, {
+
+            // Sets the smoothScroll animation time duration to the smoothScrollSpeed option
+            "duration": duration
+
+          });
+
+        });
+
+        // Maintains chainability
+        return self;
+
+      }
+
+    });
+
+  })); //end of plugin
+</script>
+<script>
+
+/**
+ * jQuery Plugin: Sticky Tabs
+ *
+ * @author Aidan Lister <aidan@php.net>
+ * adapted by Ruben Arslan to activate parent tabs too
+ * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
+ */
+(function($) {
+  "use strict";
+  $.fn.rmarkdownStickyTabs = function() {
+    var context = this;
+    // Show the tab corresponding with the hash in the URL, or the first tab
+    var showStuffFromHash = function() {
+      var hash = window.location.hash;
+      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
+      var $selector = $(selector, context);
+      if($selector.data('toggle') === "tab") {
+        $selector.tab('show');
+        // walk up the ancestors of this element, show any hidden tabs
+        $selector.parents('.section.tabset').each(function(i, elm) {
+          var link = $('a[href="#' + $(elm).attr('id') + '"]');
+          if(link.data('toggle') === "tab") {
+            link.tab("show");
+          }
+        });
+      }
+    };
+
+
+    // Set the correct tab when the page loads
+    showStuffFromHash(context);
+
+    // Set the correct tab when a user uses their back/forward button
+    $(window).on('hashchange', function() {
+      showStuffFromHash(context);
+    });
+
+    // Change the URL when tabs are clicked
+    $('a', context).on('click', function(e) {
+      history.pushState(null, null, this.href);
+      showStuffFromHash(context);
+    });
+
+    return this;
+  };
+}(jQuery));
+
+window.buildTabsets = function(tocID) {
+
+  // build a tabset from a section div with the .tabset class
+  function buildTabset(tabset) {
+
+    // check for fade and pills options
+    var fade = tabset.hasClass("tabset-fade");
+    var pills = tabset.hasClass("tabset-pills");
+    var navClass = pills ? "nav-pills" : "nav-tabs";
+
+    // determine the heading level of the tabset and tabs
+    var match = tabset.attr('class').match(/level(\d) /);
+    if (match === null)
+      return;
+    var tabsetLevel = Number(match[1]);
+    var tabLevel = tabsetLevel + 1;
+
+    // find all subheadings immediately below
+    var tabs = tabset.find("div.section.level" + tabLevel);
+    if (!tabs.length)
+      return;
+
+    // create tablist and tab-content elements
+    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
+    $(tabs[0]).before(tabList);
+    var tabContent = $('<div class="tab-content"></div>');
+    $(tabs[0]).before(tabContent);
+
+    // build the tabset
+    var activeTab = 0;
+    tabs.each(function(i) {
+
+      // get the tab div
+      var tab = $(tabs[i]);
+
+      // get the id then sanitize it for use with bootstrap tabs
+      var id = tab.attr('id');
+
+      // see if this is marked as the active tab
+      if (tab.hasClass('active'))
+        activeTab = i;
+
+      // remove any table of contents entries associated with
+      // this ID (since we'll be removing the heading element)
+      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();
+
+      // sanitize the id for use with bootstrap tabs
+      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
+      tab.attr('id', id);
+
+      // get the heading element within it, grab it's text, then remove it
+      var heading = tab.find('h' + tabLevel + ':first');
+      var headingText = heading.html();
+      heading.remove();
+
+      // build and append the tab list item
+      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
+      a.attr('href', '#' + id);
+      a.attr('aria-controls', id);
+      var li = $('<li role="presentation"></li>');
+      li.append(a);
+      tabList.append(li);
+
+      // set it's attributes
+      tab.attr('role', 'tabpanel');
+      tab.addClass('tab-pane');
+      tab.addClass('tabbed-pane');
+      if (fade)
+        tab.addClass('fade');
+
+      // move it into the tab content div
+      tab.detach().appendTo(tabContent);
+    });
+
+    // set active tab
+    $(tabList.children('li')[activeTab]).addClass('active');
+    var active = $(tabContent.children('div.section')[activeTab]);
+    active.addClass('active');
+    if (fade)
+      active.addClass('in');
+
+    if (tabset.hasClass("tabset-sticky"))
+      tabset.rmarkdownStickyTabs();
+  }
+
+  // convert section divs with the .tabset class to tabsets
+  var tabsets = $("div.section.tabset");
+  tabsets.each(function(i) {
+    buildTabset($(tabsets[i]));
+  });
+};
+
+</script>
+<script>
+window.initializeCodeFolding = function(show) {
+
+  // handlers for show-all and hide all
+  $("#rmd-show-all-code").click(function() {
+    $('div.r-code-collapse').each(function() {
+      $(this).collapse('show');
+    });
+  });
+  $("#rmd-hide-all-code").click(function() {
+    $('div.r-code-collapse').each(function() {
+      $(this).collapse('hide');
+    });
+  });
+
+  // index for unique code element ids
+  var currentIndex = 1;
+
+  // select all R code blocks
+  var rCodeBlocks = $('pre.r, pre.python, pre.bash, pre.sql, pre.cpp, pre.stan, pre.julia, pre.foldable');
+  rCodeBlocks.each(function() {
+
+    // create a collapsable div to wrap the code in
+    var div = $('<div class="collapse r-code-collapse"></div>');
+    var showThis = (show || $(this).hasClass('fold-show')) && !$(this).hasClass('fold-hide');
+    var id = 'rcode-643E0F36' + currentIndex++;
+    div.attr('id', id);
+    $(this).before(div);
+    $(this).detach().appendTo(div);
+
+    // add a show code button right above
+    var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Code') + '</span>');
+    var showCodeButton = $('<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm code-folding-btn pull-right float-right"></button>');
+    showCodeButton.append(showCodeText);
+    showCodeButton
+        .attr('data-toggle', 'collapse')
+        .attr('data-target', '#' + id)
+        .attr('aria-expanded', showThis)
+        .attr('aria-controls', id);
+
+    var buttonRow = $('<div class="row"></div>');
+    var buttonCol = $('<div class="col-md-12"></div>');
+
+    buttonCol.append(showCodeButton);
+    buttonRow.append(buttonCol);
+
+    div.before(buttonRow);
+
+    // show the div if necessary
+    if (showThis) div.collapse('show');
+
+    // update state of button on show/hide
+    //   * Change text
+    //   * add a class for intermediate states styling
+    div.on('hide.bs.collapse', function () {
+      showCodeText.text('Code');
+      showCodeButton.addClass('btn-collapsing');
+    });
+    div.on('hidden.bs.collapse', function () {
+      showCodeButton.removeClass('btn-collapsing');
+    });
+    div.on('show.bs.collapse', function () {
+      showCodeText.text('Hide');
+      showCodeButton.addClass('btn-expanding');
+    });
+    div.on('shown.bs.collapse', function () {
+      showCodeButton.removeClass('btn-expanding');
+    });
+
+  });
+
+}
+</script>
+<style type="text/css">.hljs-literal {
+color: #990073;
+}
+.hljs-number {
+color: #099;
+}
+.hljs-comment {
+color: #998;
+font-style: italic;
+}
+.hljs-keyword {
+color: #900;
+font-weight: bold;
+}
+.hljs-string {
+color: #d14;
+}
+</style>
+<script src="data:application/javascript;base64,/*! highlight.js v9.12.0 | BSD3 License | git.io/hljslicense */
!function(e){var n="object"==typeof window&&window||"object"==typeof self&&self;"undefined"!=typeof exports?e(exports):n&&(n.hljs=e({}),"function"==typeof define&&define.amd&&define([],function(){return n.hljs}))}(function(e){function n(e){return e.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;")}function t(e){return e.nodeName.toLowerCase()}function r(e,n){var t=e&&e.exec(n);return t&&0===t.index}function a(e){return k.test(e)}function i(e){var n,t,r,i,o=e.className+" ";if(o+=e.parentNode?e.parentNode.className:"",t=B.exec(o))return w(t[1])?t[1]:"no-highlight";for(o=o.split(/\s+/),n=0,r=o.length;r>n;n++)if(i=o[n],a(i)||w(i))return i}function o(e){var n,t={},r=Array.prototype.slice.call(arguments,1);for(n in e)t[n]=e[n];return r.forEach(function(e){for(n in e)t[n]=e[n]}),t}function u(e){var n=[];return function r(e,a){for(var i=e.firstChild;i;i=i.nextSibling)3===i.nodeType?a+=i.nodeValue.length:1===i.nodeType&&(n.push({event:"start",offset:a,node:i}),a=r(i,a),t(i).match(/br|hr|img|input/)||n.push({event:"stop",offset:a,node:i}));return a}(e,0),n}function c(e,r,a){function i(){return e.length&&r.length?e[0].offset!==r[0].offset?e[0].offset<r[0].offset?e:r:"start"===r[0].event?e:r:e.length?e:r}function o(e){function r(e){return" "+e.nodeName+'="'+n(e.value).replace('"',"&quot;")+'"'}s+="<"+t(e)+E.map.call(e.attributes,r).join("")+">"}function u(e){s+="</"+t(e)+">"}function c(e){("start"===e.event?o:u)(e.node)}for(var l=0,s="",f=[];e.length||r.length;){var g=i();if(s+=n(a.substring(l,g[0].offset)),l=g[0].offset,g===e){f.reverse().forEach(u);do c(g.splice(0,1)[0]),g=i();while(g===e&&g.length&&g[0].offset===l);f.reverse().forEach(o)}else"start"===g[0].event?f.push(g[0].node):f.pop(),c(g.splice(0,1)[0])}return s+n(a.substr(l))}function l(e){return e.v&&!e.cached_variants&&(e.cached_variants=e.v.map(function(n){return o(e,{v:null},n)})),e.cached_variants||e.eW&&[o(e)]||[e]}function s(e){function n(e){return e&&e.source||e}function t(t,r){return new RegExp(n(t),"m"+(e.cI?"i":"")+(r?"g":""))}function r(a,i){if(!a.compiled){if(a.compiled=!0,a.k=a.k||a.bK,a.k){var o={},u=function(n,t){e.cI&&(t=t.toLowerCase()),t.split(" ").forEach(function(e){var t=e.split("|");o[t[0]]=[n,t[1]?Number(t[1]):1]})};"string"==typeof a.k?u("keyword",a.k):x(a.k).forEach(function(e){u(e,a.k[e])}),a.k=o}a.lR=t(a.l||/\w+/,!0),i&&(a.bK&&(a.b="\\b("+a.bK.split(" ").join("|")+")\\b"),a.b||(a.b=/\B|\b/),a.bR=t(a.b),a.e||a.eW||(a.e=/\B|\b/),a.e&&(a.eR=t(a.e)),a.tE=n(a.e)||"",a.eW&&i.tE&&(a.tE+=(a.e?"|":"")+i.tE)),a.i&&(a.iR=t(a.i)),null==a.r&&(a.r=1),a.c||(a.c=[]),a.c=Array.prototype.concat.apply([],a.c.map(function(e){return l("self"===e?a:e)})),a.c.forEach(function(e){r(e,a)}),a.starts&&r(a.starts,i);var c=a.c.map(function(e){return e.bK?"\\.?("+e.b+")\\.?":e.b}).concat([a.tE,a.i]).map(n).filter(Boolean);a.t=c.length?t(c.join("|"),!0):{exec:function(){return null}}}}r(e)}function f(e,t,a,i){function o(e,n){var t,a;for(t=0,a=n.c.length;a>t;t++)if(r(n.c[t].bR,e))return n.c[t]}function u(e,n){if(r(e.eR,n)){for(;e.endsParent&&e.parent;)e=e.parent;return e}return e.eW?u(e.parent,n):void 0}function c(e,n){return!a&&r(n.iR,e)}function l(e,n){var t=N.cI?n[0].toLowerCase():n[0];return e.k.hasOwnProperty(t)&&e.k[t]}function p(e,n,t,r){var a=r?"":I.classPrefix,i='<span class="'+a,o=t?"":C;return i+=e+'">',i+n+o}function h(){var e,t,r,a;if(!E.k)return n(k);for(a="",t=0,E.lR.lastIndex=0,r=E.lR.exec(k);r;)a+=n(k.substring(t,r.index)),e=l(E,r),e?(B+=e[1],a+=p(e[0],n(r[0]))):a+=n(r[0]),t=E.lR.lastIndex,r=E.lR.exec(k);return a+n(k.substr(t))}function d(){var e="string"==typeof E.sL;if(e&&!y[E.sL])return n(k);var t=e?f(E.sL,k,!0,x[E.sL]):g(k,E.sL.length?E.sL:void 0);return E.r>0&&(B+=t.r),e&&(x[E.sL]=t.top),p(t.language,t.value,!1,!0)}function b(){L+=null!=E.sL?d():h(),k=""}function v(e){L+=e.cN?p(e.cN,"",!0):"",E=Object.create(e,{parent:{value:E}})}function m(e,n){if(k+=e,null==n)return b(),0;var t=o(n,E);if(t)return t.skip?k+=n:(t.eB&&(k+=n),b(),t.rB||t.eB||(k=n)),v(t,n),t.rB?0:n.length;var r=u(E,n);if(r){var a=E;a.skip?k+=n:(a.rE||a.eE||(k+=n),b(),a.eE&&(k=n));do E.cN&&(L+=C),E.skip||(B+=E.r),E=E.parent;while(E!==r.parent);return r.starts&&v(r.starts,""),a.rE?0:n.length}if(c(n,E))throw new Error('Illegal lexeme "'+n+'" for mode "'+(E.cN||"<unnamed>")+'"');return k+=n,n.length||1}var N=w(e);if(!N)throw new Error('Unknown language: "'+e+'"');s(N);var R,E=i||N,x={},L="";for(R=E;R!==N;R=R.parent)R.cN&&(L=p(R.cN,"",!0)+L);var k="",B=0;try{for(var M,j,O=0;;){if(E.t.lastIndex=O,M=E.t.exec(t),!M)break;j=m(t.substring(O,M.index),M[0]),O=M.index+j}for(m(t.substr(O)),R=E;R.parent;R=R.parent)R.cN&&(L+=C);return{r:B,value:L,language:e,top:E}}catch(T){if(T.message&&-1!==T.message.indexOf("Illegal"))return{r:0,value:n(t)};throw T}}function g(e,t){t=t||I.languages||x(y);var r={r:0,value:n(e)},a=r;return t.filter(w).forEach(function(n){var t=f(n,e,!1);t.language=n,t.r>a.r&&(a=t),t.r>r.r&&(a=r,r=t)}),a.language&&(r.second_best=a),r}function p(e){return I.tabReplace||I.useBR?e.replace(M,function(e,n){return I.useBR&&"\n"===e?"<br>":I.tabReplace?n.replace(/\t/g,I.tabReplace):""}):e}function h(e,n,t){var r=n?L[n]:t,a=[e.trim()];return e.match(/\bhljs\b/)||a.push("hljs"),-1===e.indexOf(r)&&a.push(r),a.join(" ").trim()}function d(e){var n,t,r,o,l,s=i(e);a(s)||(I.useBR?(n=document.createElementNS("http://www.w3.org/1999/xhtml","div"),n.innerHTML=e.innerHTML.replace(/\n/g,"").replace(/<br[ \/]*>/g,"\n")):n=e,l=n.textContent,r=s?f(s,l,!0):g(l),t=u(n),t.length&&(o=document.createElementNS("http://www.w3.org/1999/xhtml","div"),o.innerHTML=r.value,r.value=c(t,u(o),l)),r.value=p(r.value),e.innerHTML=r.value,e.className=h(e.className,s,r.language),e.result={language:r.language,re:r.r},r.second_best&&(e.second_best={language:r.second_best.language,re:r.second_best.r}))}function b(e){I=o(I,e)}function v(){if(!v.called){v.called=!0;var e=document.querySelectorAll("pre code");E.forEach.call(e,d)}}function m(){addEventListener("DOMContentLoaded",v,!1),addEventListener("load",v,!1)}function N(n,t){var r=y[n]=t(e);r.aliases&&r.aliases.forEach(function(e){L[e]=n})}function R(){return x(y)}function w(e){return e=(e||"").toLowerCase(),y[e]||y[L[e]]}var E=[],x=Object.keys,y={},L={},k=/^(no-?highlight|plain|text)$/i,B=/\blang(?:uage)?-([\w-]+)\b/i,M=/((^(<[^>]+>|\t|)+|(?:\n)))/gm,C="</span>",I={classPrefix:"hljs-",tabReplace:null,useBR:!1,languages:void 0};return e.highlight=f,e.highlightAuto=g,e.fixMarkup=p,e.highlightBlock=d,e.configure=b,e.initHighlighting=v,e.initHighlightingOnLoad=m,e.registerLanguage=N,e.listLanguages=R,e.getLanguage=w,e.inherit=o,e.IR="[a-zA-Z]\\w*",e.UIR="[a-zA-Z_]\\w*",e.NR="\\b\\d+(\\.\\d+)?",e.CNR="(-?)(\\b0[xX][a-fA-F0-9]+|(\\b\\d+(\\.\\d*)?|\\.\\d+)([eE][-+]?\\d+)?)",e.BNR="\\b(0b[01]+)",e.RSR="!|!=|!==|%|%=|&|&&|&=|\\*|\\*=|\\+|\\+=|,|-|-=|/=|/|:|;|<<|<<=|<=|<|===|==|=|>>>=|>>=|>=|>>>|>>|>|\\?|\\[|\\{|\\(|\\^|\\^=|\\||\\|=|\\|\\||~",e.BE={b:"\\\\[\\s\\S]",r:0},e.ASM={cN:"string",b:"'",e:"'",i:"\\n",c:[e.BE]},e.QSM={cN:"string",b:'"',e:'"',i:"\\n",c:[e.BE]},e.PWM={b:/\b(a|an|the|are|I'm|isn't|don't|doesn't|won't|but|just|should|pretty|simply|enough|gonna|going|wtf|so|such|will|you|your|they|like|more)\b/},e.C=function(n,t,r){var a=e.inherit({cN:"comment",b:n,e:t,c:[]},r||{});return a.c.push(e.PWM),a.c.push({cN:"doctag",b:"(?:TODO|FIXME|NOTE|BUG|XXX):",r:0}),a},e.CLCM=e.C("//","$"),e.CBCM=e.C("/\\*","\\*/"),e.HCM=e.C("#","$"),e.NM={cN:"number",b:e.NR,r:0},e.CNM={cN:"number",b:e.CNR,r:0},e.BNM={cN:"number",b:e.BNR,r:0},e.CSSNM={cN:"number",b:e.NR+"(%|em|ex|ch|rem|vw|vh|vmin|vmax|cm|mm|in|pt|pc|px|deg|grad|rad|turn|s|ms|Hz|kHz|dpi|dpcm|dppx)?",r:0},e.RM={cN:"regexp",b:/\//,e:/\/[gimuy]*/,i:/\n/,c:[e.BE,{b:/\[/,e:/\]/,r:0,c:[e.BE]}]},e.TM={cN:"title",b:e.IR,r:0},e.UTM={cN:"title",b:e.UIR,r:0},e.METHOD_GUARD={b:"\\.\\s*"+e.UIR,r:0},e});hljs.registerLanguage("sql",function(e){var t=e.C("--","$");return{cI:!0,i:/[<>{}*#]/,c:[{bK:"begin end start commit rollback savepoint lock alter create drop rename call delete do handler insert load replace select truncate update set show pragma grant merge describe use explain help declare prepare execute deallocate release unlock purge reset change stop analyze cache flush optimize repair kill install uninstall checksum restore check backup revoke comment",e:/;/,eW:!0,l:/[\w\.]+/,k:{keyword:"abort abs absolute acc acce accep accept access accessed accessible account acos action activate add addtime admin administer advanced advise aes_decrypt aes_encrypt after agent aggregate ali alia alias allocate allow alter always analyze ancillary and any anydata anydataset anyschema anytype apply archive archived archivelog are as asc ascii asin assembly assertion associate asynchronous at atan atn2 attr attri attrib attribu attribut attribute attributes audit authenticated authentication authid authors auto autoallocate autodblink autoextend automatic availability avg backup badfile basicfile before begin beginning benchmark between bfile bfile_base big bigfile bin binary_double binary_float binlog bit_and bit_count bit_length bit_or bit_xor bitmap blob_base block blocksize body both bound buffer_cache buffer_pool build bulk by byte byteordermark bytes cache caching call calling cancel capacity cascade cascaded case cast catalog category ceil ceiling chain change changed char_base char_length character_length characters characterset charindex charset charsetform charsetid check checksum checksum_agg child choose chr chunk class cleanup clear client clob clob_base clone close cluster_id cluster_probability cluster_set clustering coalesce coercibility col collate collation collect colu colum column column_value columns columns_updated comment commit compact compatibility compiled complete composite_limit compound compress compute concat concat_ws concurrent confirm conn connec connect connect_by_iscycle connect_by_isleaf connect_by_root connect_time connection consider consistent constant constraint constraints constructor container content contents context contributors controlfile conv convert convert_tz corr corr_k corr_s corresponding corruption cos cost count count_big counted covar_pop covar_samp cpu_per_call cpu_per_session crc32 create creation critical cross cube cume_dist curdate current current_date current_time current_timestamp current_user cursor curtime customdatum cycle data database databases datafile datafiles datalength date_add date_cache date_format date_sub dateadd datediff datefromparts datename datepart datetime2fromparts day day_to_second dayname dayofmonth dayofweek dayofyear days db_role_change dbtimezone ddl deallocate declare decode decompose decrement decrypt deduplicate def defa defau defaul default defaults deferred defi defin define degrees delayed delegate delete delete_all delimited demand dense_rank depth dequeue des_decrypt des_encrypt des_key_file desc descr descri describ describe descriptor deterministic diagnostics difference dimension direct_load directory disable disable_all disallow disassociate discardfile disconnect diskgroup distinct distinctrow distribute distributed div do document domain dotnet double downgrade drop dumpfile duplicate duration each edition editionable editions element ellipsis else elsif elt empty enable enable_all enclosed encode encoding encrypt end end-exec endian enforced engine engines enqueue enterprise entityescaping eomonth error errors escaped evalname evaluate event eventdata events except exception exceptions exchange exclude excluding execu execut execute exempt exists exit exp expire explain export export_set extended extent external external_1 external_2 externally extract failed failed_login_attempts failover failure far fast feature_set feature_value fetch field fields file file_name_convert filesystem_like_logging final finish first first_value fixed flash_cache flashback floor flush following follows for forall force form forma format found found_rows freelist freelists freepools fresh from from_base64 from_days ftp full function general generated get get_format get_lock getdate getutcdate global global_name globally go goto grant grants greatest group group_concat group_id grouping grouping_id groups gtid_subtract guarantee guard handler hash hashkeys having hea head headi headin heading heap help hex hierarchy high high_priority hosts hour http id ident_current ident_incr ident_seed identified identity idle_time if ifnull ignore iif ilike ilm immediate import in include including increment index indexes indexing indextype indicator indices inet6_aton inet6_ntoa inet_aton inet_ntoa infile initial initialized initially initrans inmemory inner innodb input insert install instance instantiable instr interface interleaved intersect into invalidate invisible is is_free_lock is_ipv4 is_ipv4_compat is_not is_not_null is_used_lock isdate isnull isolation iterate java join json json_exists keep keep_duplicates key keys kill language large last last_day last_insert_id last_value lax lcase lead leading least leaves left len lenght length less level levels library like like2 like4 likec limit lines link list listagg little ln load load_file lob lobs local localtime localtimestamp locate locator lock locked log log10 log2 logfile logfiles logging logical logical_reads_per_call logoff logon logs long loop low low_priority lower lpad lrtrim ltrim main make_set makedate maketime managed management manual map mapping mask master master_pos_wait match matched materialized max maxextents maximize maxinstances maxlen maxlogfiles maxloghistory maxlogmembers maxsize maxtrans md5 measures median medium member memcompress memory merge microsecond mid migration min minextents minimum mining minus minute minvalue missing mod mode model modification modify module monitoring month months mount move movement multiset mutex name name_const names nan national native natural nav nchar nclob nested never new newline next nextval no no_write_to_binlog noarchivelog noaudit nobadfile nocheck nocompress nocopy nocycle nodelay nodiscardfile noentityescaping noguarantee nokeep nologfile nomapping nomaxvalue nominimize nominvalue nomonitoring none noneditionable nonschema noorder nopr nopro noprom nopromp noprompt norely noresetlogs noreverse normal norowdependencies noschemacheck noswitch not nothing notice notrim novalidate now nowait nth_value nullif nulls num numb numbe nvarchar nvarchar2 object ocicoll ocidate ocidatetime ociduration ociinterval ociloblocator ocinumber ociref ocirefcursor ocirowid ocistring ocitype oct octet_length of off offline offset oid oidindex old on online only opaque open operations operator optimal optimize option optionally or oracle oracle_date oradata ord ordaudio orddicom orddoc order ordimage ordinality ordvideo organization orlany orlvary out outer outfile outline output over overflow overriding package pad parallel parallel_enable parameters parent parse partial partition partitions pascal passing password password_grace_time password_lock_time password_reuse_max password_reuse_time password_verify_function patch path patindex pctincrease pctthreshold pctused pctversion percent percent_rank percentile_cont percentile_disc performance period period_add period_diff permanent physical pi pipe pipelined pivot pluggable plugin policy position post_transaction pow power pragma prebuilt precedes preceding precision prediction prediction_cost prediction_details prediction_probability prediction_set prepare present preserve prior priority private private_sga privileges procedural procedure procedure_analyze processlist profiles project prompt protection public publishingservername purge quarter query quick quiesce quota quotename radians raise rand range rank raw read reads readsize rebuild record records recover recovery recursive recycle redo reduced ref reference referenced references referencing refresh regexp_like register regr_avgx regr_avgy regr_count regr_intercept regr_r2 regr_slope regr_sxx regr_sxy reject rekey relational relative relaylog release release_lock relies_on relocate rely rem remainder rename repair repeat replace replicate replication required reset resetlogs resize resource respect restore restricted result result_cache resumable resume retention return returning returns reuse reverse revoke right rlike role roles rollback rolling rollup round row row_count rowdependencies rowid rownum rows rtrim rules safe salt sample save savepoint sb1 sb2 sb4 scan schema schemacheck scn scope scroll sdo_georaster sdo_topo_geometry search sec_to_time second section securefile security seed segment select self sequence sequential serializable server servererror session session_user sessions_per_user set sets settings sha sha1 sha2 share shared shared_pool short show shrink shutdown si_averagecolor si_colorhistogram si_featurelist si_positionalcolor si_stillimage si_texture siblings sid sign sin size size_t sizes skip slave sleep smalldatetimefromparts smallfile snapshot some soname sort soundex source space sparse spfile split sql sql_big_result sql_buffer_result sql_cache sql_calc_found_rows sql_small_result sql_variant_property sqlcode sqldata sqlerror sqlname sqlstate sqrt square standalone standby start starting startup statement static statistics stats_binomial_test stats_crosstab stats_ks_test stats_mode stats_mw_test stats_one_way_anova stats_t_test_ stats_t_test_indep stats_t_test_one stats_t_test_paired stats_wsr_test status std stddev stddev_pop stddev_samp stdev stop storage store stored str str_to_date straight_join strcmp strict string struct stuff style subdate subpartition subpartitions substitutable substr substring subtime subtring_index subtype success sum suspend switch switchoffset switchover sync synchronous synonym sys sys_xmlagg sysasm sysaux sysdate sysdatetimeoffset sysdba sysoper system system_user sysutcdatetime table tables tablespace tan tdo template temporary terminated tertiary_weights test than then thread through tier ties time time_format time_zone timediff timefromparts timeout timestamp timestampadd timestampdiff timezone_abbr timezone_minute timezone_region to to_base64 to_date to_days to_seconds todatetimeoffset trace tracking transaction transactional translate translation treat trigger trigger_nestlevel triggers trim truncate try_cast try_convert try_parse type ub1 ub2 ub4 ucase unarchived unbounded uncompress under undo unhex unicode uniform uninstall union unique unix_timestamp unknown unlimited unlock unpivot unrecoverable unsafe unsigned until untrusted unusable unused update updated upgrade upped upper upsert url urowid usable usage use use_stored_outlines user user_data user_resources users using utc_date utc_timestamp uuid uuid_short validate validate_password_strength validation valist value values var var_samp varcharc vari varia variab variabl variable variables variance varp varraw varrawc varray verify version versions view virtual visible void wait wallet warning warnings week weekday weekofyear wellformed when whene whenev wheneve whenever where while whitespace with within without work wrapped xdb xml xmlagg xmlattributes xmlcast xmlcolattval xmlelement xmlexists xmlforest xmlindex xmlnamespaces xmlpi xmlquery xmlroot xmlschema xmlserialize xmltable xmltype xor year year_to_month years yearweek",literal:"true false null",built_in:"array bigint binary bit blob boolean char character date dec decimal float int int8 integer interval number numeric real record serial serial8 smallint text varchar varying void"},c:[{cN:"string",b:"'",e:"'",c:[e.BE,{b:"''"}]},{cN:"string",b:'"',e:'"',c:[e.BE,{b:'""'}]},{cN:"string",b:"`",e:"`",c:[e.BE]},e.CNM,e.CBCM,t]},e.CBCM,t]}});hljs.registerLanguage("r",function(e){var r="([a-zA-Z]|\\.[a-zA-Z.])[a-zA-Z0-9._]*";return{c:[e.HCM,{b:r,l:r,k:{keyword:"function if in break next repeat else for return switch while try tryCatch stop warning require library attach detach source setMethod setGeneric setGroupGeneric setClass ...",literal:"NULL NA TRUE FALSE T F Inf NaN NA_integer_|10 NA_real_|10 NA_character_|10 NA_complex_|10"},r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"\\d+(?:[eE][+\\-]?\\d*)?L\\b",r:0},{cN:"number",b:"\\d+\\.(?!\\d)(?:i\\b)?",r:0},{cN:"number",b:"\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{b:"`",e:"`",r:0},{cN:"string",c:[e.BE],v:[{b:'"',e:'"'},{b:"'",e:"'"}]}]}});hljs.registerLanguage("perl",function(e){var t="getpwent getservent quotemeta msgrcv scalar kill dbmclose undef lc ma syswrite tr send umask sysopen shmwrite vec qx utime local oct semctl localtime readpipe do return format read sprintf dbmopen pop getpgrp not getpwnam rewinddir qqfileno qw endprotoent wait sethostent bless s|0 opendir continue each sleep endgrent shutdown dump chomp connect getsockname die socketpair close flock exists index shmgetsub for endpwent redo lstat msgctl setpgrp abs exit select print ref gethostbyaddr unshift fcntl syscall goto getnetbyaddr join gmtime symlink semget splice x|0 getpeername recv log setsockopt cos last reverse gethostbyname getgrnam study formline endhostent times chop length gethostent getnetent pack getprotoent getservbyname rand mkdir pos chmod y|0 substr endnetent printf next open msgsnd readdir use unlink getsockopt getpriority rindex wantarray hex system getservbyport endservent int chr untie rmdir prototype tell listen fork shmread ucfirst setprotoent else sysseek link getgrgid shmctl waitpid unpack getnetbyname reset chdir grep split require caller lcfirst until warn while values shift telldir getpwuid my getprotobynumber delete and sort uc defined srand accept package seekdir getprotobyname semop our rename seek if q|0 chroot sysread setpwent no crypt getc chown sqrt write setnetent setpriority foreach tie sin msgget map stat getlogin unless elsif truncate exec keys glob tied closedirioctl socket readlink eval xor readline binmode setservent eof ord bind alarm pipe atan2 getgrent exp time push setgrent gt lt or ne m|0 break given say state when",r={cN:"subst",b:"[$@]\\{",e:"\\}",k:t},s={b:"->{",e:"}"},n={v:[{b:/\$\d/},{b:/[\$%@](\^\w\b|#\w+(::\w+)*|{\w+}|\w+(::\w*)*)/},{b:/[\$%@][^\s\w{]/,r:0}]},i=[e.BE,r,n],o=[n,e.HCM,e.C("^\\=\\w","\\=cut",{eW:!0}),s,{cN:"string",c:i,v:[{b:"q[qwxr]?\\s*\\(",e:"\\)",r:5},{b:"q[qwxr]?\\s*\\[",e:"\\]",r:5},{b:"q[qwxr]?\\s*\\{",e:"\\}",r:5},{b:"q[qwxr]?\\s*\\|",e:"\\|",r:5},{b:"q[qwxr]?\\s*\\<",e:"\\>",r:5},{b:"qw\\s+q",e:"q",r:5},{b:"'",e:"'",c:[e.BE]},{b:'"',e:'"'},{b:"`",e:"`",c:[e.BE]},{b:"{\\w+}",c:[],r:0},{b:"-?\\w+\\s*\\=\\>",c:[],r:0}]},{cN:"number",b:"(\\b0[0-7_]+)|(\\b0x[0-9a-fA-F_]+)|(\\b[1-9][0-9_]*(\\.[0-9_]+)?)|[0_]\\b",r:0},{b:"(\\/\\/|"+e.RSR+"|\\b(split|return|print|reverse|grep)\\b)\\s*",k:"split return print reverse grep",r:0,c:[e.HCM,{cN:"regexp",b:"(s|tr|y)/(\\\\.|[^/])*/(\\\\.|[^/])*/[a-z]*",r:10},{cN:"regexp",b:"(m|qr)?/",e:"/[a-z]*",c:[e.BE],r:0}]},{cN:"function",bK:"sub",e:"(\\s*\\(.*?\\))?[;{]",eE:!0,r:5,c:[e.TM]},{b:"-\\w\\b",r:0},{b:"^__DATA__$",e:"^__END__$",sL:"mojolicious",c:[{b:"^@@.*",e:"$",cN:"comment"}]}];return r.c=o,s.c=o,{aliases:["pl","pm"],l:/[\w\.]+/,k:t,c:o}});hljs.registerLanguage("ini",function(e){var b={cN:"string",c:[e.BE],v:[{b:"'''",e:"'''",r:10},{b:'"""',e:'"""',r:10},{b:'"',e:'"'},{b:"'",e:"'"}]};return{aliases:["toml"],cI:!0,i:/\S/,c:[e.C(";","$"),e.HCM,{cN:"section",b:/^\s*\[+/,e:/\]+/},{b:/^[a-z0-9\[\]_-]+\s*=\s*/,e:"$",rB:!0,c:[{cN:"attr",b:/[a-z0-9\[\]_-]+/},{b:/=/,eW:!0,r:0,c:[{cN:"literal",b:/\bon|off|true|false|yes|no\b/},{cN:"variable",v:[{b:/\$[\w\d"][\w\d_]*/},{b:/\$\{(.*?)}/}]},b,{cN:"number",b:/([\+\-]+)?[\d]+_[\d_]+/},e.NM]}]}]}});hljs.registerLanguage("diff",function(e){return{aliases:["patch"],c:[{cN:"meta",r:10,v:[{b:/^@@ +\-\d+,\d+ +\+\d+,\d+ +@@$/},{b:/^\*\*\* +\d+,\d+ +\*\*\*\*$/},{b:/^\-\-\- +\d+,\d+ +\-\-\-\-$/}]},{cN:"comment",v:[{b:/Index: /,e:/$/},{b:/={3,}/,e:/$/},{b:/^\-{3}/,e:/$/},{b:/^\*{3} /,e:/$/},{b:/^\+{3}/,e:/$/},{b:/\*{5}/,e:/\*{5}$/}]},{cN:"addition",b:"^\\+",e:"$"},{cN:"deletion",b:"^\\-",e:"$"},{cN:"addition",b:"^\\!",e:"$"}]}});hljs.registerLanguage("go",function(e){var t={keyword:"break default func interface select case map struct chan else goto package switch const fallthrough if range type continue for import return var go defer bool byte complex64 complex128 float32 float64 int8 int16 int32 int64 string uint8 uint16 uint32 uint64 int uint uintptr rune",literal:"true false iota nil",built_in:"append cap close complex copy imag len make new panic print println real recover delete"};return{aliases:["golang"],k:t,i:"</",c:[e.CLCM,e.CBCM,{cN:"string",v:[e.QSM,{b:"'",e:"[^\\\\]'"},{b:"`",e:"`"}]},{cN:"number",v:[{b:e.CNR+"[dflsi]",r:1},e.CNM]},{b:/:=/},{cN:"function",bK:"func",e:/\s*\{/,eE:!0,c:[e.TM,{cN:"params",b:/\(/,e:/\)/,k:t,i:/["']/}]}]}});hljs.registerLanguage("bash",function(e){var t={cN:"variable",v:[{b:/\$[\w\d#@][\w\d_]*/},{b:/\$\{(.*?)}/}]},s={cN:"string",b:/"/,e:/"/,c:[e.BE,t,{cN:"variable",b:/\$\(/,e:/\)/,c:[e.BE]}]},a={cN:"string",b:/'/,e:/'/};return{aliases:["sh","zsh"],l:/\b-?[a-z\._]+\b/,k:{keyword:"if then else elif fi for while in do done case esac function",literal:"true false",built_in:"break cd continue eval exec exit export getopts hash pwd readonly return shift test times trap umask unset alias bind builtin caller command declare echo enable help let local logout mapfile printf read readarray source type typeset ulimit unalias set shopt autoload bg bindkey bye cap chdir clone comparguments compcall compctl compdescribe compfiles compgroups compquote comptags comptry compvalues dirs disable disown echotc echoti emulate fc fg float functions getcap getln history integer jobs kill limit log noglob popd print pushd pushln rehash sched setcap setopt stat suspend ttyctl unfunction unhash unlimit unsetopt vared wait whence where which zcompile zformat zftp zle zmodload zparseopts zprof zpty zregexparse zsocket zstyle ztcp",_:"-ne -eq -lt -gt -f -d -e -s -l -a"},c:[{cN:"meta",b:/^#![^\n]+sh\s*$/,r:10},{cN:"function",b:/\w[\w\d_]*\s*\(\s*\)\s*\{/,rB:!0,c:[e.inherit(e.TM,{b:/\w[\w\d_]*/})],r:0},e.HCM,s,a,t]}});hljs.registerLanguage("python",function(e){var r={keyword:"and elif is global as in if from raise for except finally print import pass return exec else break not with class assert yield try while continue del or def lambda async await nonlocal|10 None True False",built_in:"Ellipsis NotImplemented"},b={cN:"meta",b:/^(>>>|\.\.\.) /},c={cN:"subst",b:/\{/,e:/\}/,k:r,i:/#/},a={cN:"string",c:[e.BE],v:[{b:/(u|b)?r?'''/,e:/'''/,c:[b],r:10},{b:/(u|b)?r?"""/,e:/"""/,c:[b],r:10},{b:/(fr|rf|f)'''/,e:/'''/,c:[b,c]},{b:/(fr|rf|f)"""/,e:/"""/,c:[b,c]},{b:/(u|r|ur)'/,e:/'/,r:10},{b:/(u|r|ur)"/,e:/"/,r:10},{b:/(b|br)'/,e:/'/},{b:/(b|br)"/,e:/"/},{b:/(fr|rf|f)'/,e:/'/,c:[c]},{b:/(fr|rf|f)"/,e:/"/,c:[c]},e.ASM,e.QSM]},s={cN:"number",r:0,v:[{b:e.BNR+"[lLjJ]?"},{b:"\\b(0o[0-7]+)[lLjJ]?"},{b:e.CNR+"[lLjJ]?"}]},i={cN:"params",b:/\(/,e:/\)/,c:["self",b,s,a]};return c.c=[a,s,b],{aliases:["py","gyp"],k:r,i:/(<\/|->|\?)|=>/,c:[b,s,a,e.HCM,{v:[{cN:"function",bK:"def"},{cN:"class",bK:"class"}],e:/:/,i:/[${=;\n,]/,c:[e.UTM,i,{b:/->/,eW:!0,k:"None"}]},{cN:"meta",b:/^[\t ]*@/,e:/$/},{b:/\b(print|exec)\(/}]}});hljs.registerLanguage("julia",function(e){var r={keyword:"in isa where baremodule begin break catch ccall const continue do else elseif end export false finally for function global if import importall let local macro module quote return true try using while type immutable abstract bitstype typealias ",literal:"true false ARGS C_NULL DevNull ENDIAN_BOM ENV I Inf Inf16 Inf32 Inf64 InsertionSort JULIA_HOME LOAD_PATH MergeSort NaN NaN16 NaN32 NaN64 PROGRAM_FILE QuickSort RoundDown RoundFromZero RoundNearest RoundNearestTiesAway RoundNearestTiesUp RoundToZero RoundUp STDERR STDIN STDOUT VERSION catalan e|0 eu|0 eulergamma golden im nothing pi γ π φ ",built_in:"ANY AbstractArray AbstractChannel AbstractFloat AbstractMatrix AbstractRNG AbstractSerializer AbstractSet AbstractSparseArray AbstractSparseMatrix AbstractSparseVector AbstractString AbstractUnitRange AbstractVecOrMat AbstractVector Any ArgumentError Array AssertionError Associative Base64DecodePipe Base64EncodePipe Bidiagonal BigFloat BigInt BitArray BitMatrix BitVector Bool BoundsError BufferStream CachingPool CapturedException CartesianIndex CartesianRange Cchar Cdouble Cfloat Channel Char Cint Cintmax_t Clong Clonglong ClusterManager Cmd CodeInfo Colon Complex Complex128 Complex32 Complex64 CompositeException Condition ConjArray ConjMatrix ConjVector Cptrdiff_t Cshort Csize_t Cssize_t Cstring Cuchar Cuint Cuintmax_t Culong Culonglong Cushort Cwchar_t Cwstring DataType Date DateFormat DateTime DenseArray DenseMatrix DenseVecOrMat DenseVector Diagonal Dict DimensionMismatch Dims DirectIndexString Display DivideError DomainError EOFError EachLine Enum Enumerate ErrorException Exception ExponentialBackOff Expr Factorization FileMonitor Float16 Float32 Float64 Function Future GlobalRef GotoNode HTML Hermitian IO IOBuffer IOContext IOStream IPAddr IPv4 IPv6 IndexCartesian IndexLinear IndexStyle InexactError InitError Int Int128 Int16 Int32 Int64 Int8 IntSet Integer InterruptException InvalidStateException Irrational KeyError LabelNode LinSpace LineNumberNode LoadError LowerTriangular MIME Matrix MersenneTwister Method MethodError MethodTable Module NTuple NewvarNode NullException Nullable Number ObjectIdDict OrdinalRange OutOfMemoryError OverflowError Pair ParseError PartialQuickSort PermutedDimsArray Pipe PollingFileWatcher ProcessExitedException Ptr QuoteNode RandomDevice Range RangeIndex Rational RawFD ReadOnlyMemoryError Real ReentrantLock Ref Regex RegexMatch RemoteChannel RemoteException RevString RoundingMode RowVector SSAValue SegmentationFault SerializationState Set SharedArray SharedMatrix SharedVector Signed SimpleVector Slot SlotNumber SparseMatrixCSC SparseVector StackFrame StackOverflowError StackTrace StepRange StepRangeLen StridedArray StridedMatrix StridedVecOrMat StridedVector String SubArray SubString SymTridiagonal Symbol Symmetric SystemError TCPSocket Task Text TextDisplay Timer Tridiagonal Tuple Type TypeError TypeMapEntry TypeMapLevel TypeName TypeVar TypedSlot UDPSocket UInt UInt128 UInt16 UInt32 UInt64 UInt8 UndefRefError UndefVarError UnicodeError UniformScaling Union UnionAll UnitRange Unsigned UpperTriangular Val Vararg VecElement VecOrMat Vector VersionNumber Void WeakKeyDict WeakRef WorkerConfig WorkerPool "},t="[A-Za-z_\\u00A1-\\uFFFF][A-Za-z_0-9\\u00A1-\\uFFFF]*",a={l:t,k:r,i:/<\//},n={cN:"number",b:/(\b0x[\d_]*(\.[\d_]*)?|0x\.\d[\d_]*)p[-+]?\d+|\b0[box][a-fA-F0-9][a-fA-F0-9_]*|(\b\d[\d_]*(\.[\d_]*)?|\.\d[\d_]*)([eEfF][-+]?\d+)?/,r:0},o={cN:"string",b:/'(.|\\[xXuU][a-zA-Z0-9]+)'/},i={cN:"subst",b:/\$\(/,e:/\)/,k:r},l={cN:"variable",b:"\\$"+t},c={cN:"string",c:[e.BE,i,l],v:[{b:/\w*"""/,e:/"""\w*/,r:10},{b:/\w*"/,e:/"\w*/}]},s={cN:"string",c:[e.BE,i,l],b:"`",e:"`"},d={cN:"meta",b:"@"+t},u={cN:"comment",v:[{b:"#=",e:"=#",r:10},{b:"#",e:"$"}]};return a.c=[n,o,c,s,d,u,e.HCM,{cN:"keyword",b:"\\b(((abstract|primitive)\\s+)type|(mutable\\s+)?struct)\\b"},{b:/<:/}],i.c=a.c,a});hljs.registerLanguage("coffeescript",function(e){var c={keyword:"in if for while finally new do return else break catch instanceof throw try this switch continue typeof delete debugger super yield import export from as default await then unless until loop of by when and or is isnt not",literal:"true false null undefined yes no on off",built_in:"npm require console print module global window document"},n="[A-Za-z$_][0-9A-Za-z$_]*",r={cN:"subst",b:/#\{/,e:/}/,k:c},i=[e.BNM,e.inherit(e.CNM,{starts:{e:"(\\s*/)?",r:0}}),{cN:"string",v:[{b:/'''/,e:/'''/,c:[e.BE]},{b:/'/,e:/'/,c:[e.BE]},{b:/"""/,e:/"""/,c:[e.BE,r]},{b:/"/,e:/"/,c:[e.BE,r]}]},{cN:"regexp",v:[{b:"///",e:"///",c:[r,e.HCM]},{b:"//[gim]*",r:0},{b:/\/(?![ *])(\\\/|.)*?\/[gim]*(?=\W|$)/}]},{b:"@"+n},{sL:"javascript",eB:!0,eE:!0,v:[{b:"```",e:"```"},{b:"`",e:"`"}]}];r.c=i;var s=e.inherit(e.TM,{b:n}),t="(\\(.*\\))?\\s*\\B[-=]>",o={cN:"params",b:"\\([^\\(]",rB:!0,c:[{b:/\(/,e:/\)/,k:c,c:["self"].concat(i)}]};return{aliases:["coffee","cson","iced"],k:c,i:/\/\*/,c:i.concat([e.C("###","###"),e.HCM,{cN:"function",b:"^\\s*"+n+"\\s*=\\s*"+t,e:"[-=]>",rB:!0,c:[s,o]},{b:/[:\(,=]\s*/,r:0,c:[{cN:"function",b:t,e:"[-=]>",rB:!0,c:[o]}]},{cN:"class",bK:"class",e:"$",i:/[:="\[\]]/,c:[{bK:"extends",eW:!0,i:/[:="\[\]]/,c:[s]},s]},{b:n+":",e:":",rB:!0,rE:!0,r:0}])}});hljs.registerLanguage("cpp",function(t){var e={cN:"keyword",b:"\\b[a-z\\d_]*_t\\b"},r={cN:"string",v:[{b:'(u8?|U)?L?"',e:'"',i:"\\n",c:[t.BE]},{b:'(u8?|U)?R"',e:'"',c:[t.BE]},{b:"'\\\\?.",e:"'",i:"."}]},s={cN:"number",v:[{b:"\\b(0b[01']+)"},{b:"(-?)\\b([\\d']+(\\.[\\d']*)?|\\.[\\d']+)(u|U|l|L|ul|UL|f|F|b|B)"},{b:"(-?)(\\b0[xX][a-fA-F0-9']+|(\\b[\\d']+(\\.[\\d']*)?|\\.[\\d']+)([eE][-+]?[\\d']+)?)"}],r:0},i={cN:"meta",b:/#\s*[a-z]+\b/,e:/$/,k:{"meta-keyword":"if else elif endif define undef warning error line pragma ifdef ifndef include"},c:[{b:/\\\n/,r:0},t.inherit(r,{cN:"meta-string"}),{cN:"meta-string",b:/<[^\n>]*>/,e:/$/,i:"\\n"},t.CLCM,t.CBCM]},a=t.IR+"\\s*\\(",c={keyword:"int float while private char catch import module export virtual operator sizeof dynamic_cast|10 typedef const_cast|10 const for static_cast|10 union namespace unsigned long volatile static protected bool template mutable if public friend do goto auto void enum else break extern using asm case typeid short reinterpret_cast|10 default double register explicit signed typename try this switch continue inline delete alignof constexpr decltype noexcept static_assert thread_local restrict _Bool complex _Complex _Imaginary atomic_bool atomic_char atomic_schar atomic_uchar atomic_short atomic_ushort atomic_int atomic_uint atomic_long atomic_ulong atomic_llong atomic_ullong new throw return and or not",built_in:"std string cin cout cerr clog stdin stdout stderr stringstream istringstream ostringstream auto_ptr deque list queue stack vector map set bitset multiset multimap unordered_set unordered_map unordered_multiset unordered_multimap array shared_ptr abort abs acos asin atan2 atan calloc ceil cosh cos exit exp fabs floor fmod fprintf fputs free frexp fscanf isalnum isalpha iscntrl isdigit isgraph islower isprint ispunct isspace isupper isxdigit tolower toupper labs ldexp log10 log malloc realloc memchr memcmp memcpy memset modf pow printf putchar puts scanf sinh sin snprintf sprintf sqrt sscanf strcat strchr strcmp strcpy strcspn strlen strncat strncmp strncpy strpbrk strrchr strspn strstr tanh tan vfprintf vprintf vsprintf endl initializer_list unique_ptr",literal:"true false nullptr NULL"},n=[e,t.CLCM,t.CBCM,s,r];return{aliases:["c","cc","h","c++","h++","hpp"],k:c,i:"</",c:n.concat([i,{b:"\\b(deque|list|queue|stack|vector|map|set|bitset|multiset|multimap|unordered_map|unordered_set|unordered_multiset|unordered_multimap|array)\\s*<",e:">",k:c,c:["self",e]},{b:t.IR+"::",k:c},{v:[{b:/=/,e:/;/},{b:/\(/,e:/\)/},{bK:"new throw return else",e:/;/}],k:c,c:n.concat([{b:/\(/,e:/\)/,k:c,c:n.concat(["self"]),r:0}]),r:0},{cN:"function",b:"("+t.IR+"[\\*&\\s]+)+"+a,rB:!0,e:/[{;=]/,eE:!0,k:c,i:/[^\w\s\*&]/,c:[{b:a,rB:!0,c:[t.TM],r:0},{cN:"params",b:/\(/,e:/\)/,k:c,r:0,c:[t.CLCM,t.CBCM,r,s,e]},t.CLCM,t.CBCM,i]},{cN:"class",bK:"class struct",e:/[{;:]/,c:[{b:/</,e:/>/,c:["self"]},t.TM]}]),exports:{preprocessor:i,strings:r,k:c}}});hljs.registerLanguage("ruby",function(e){var b="[a-zA-Z_]\\w*[!?=]?|[-+~]\\@|<<|>>|=~|===?|<=>|[<>]=?|\\*\\*|[-/+%^&*~`|]|\\[\\]=?",r={keyword:"and then defined module in return redo if BEGIN retry end for self when next until do begin unless END rescue else break undef not super class case require yield alias while ensure elsif or include attr_reader attr_writer attr_accessor",literal:"true false nil"},c={cN:"doctag",b:"@[A-Za-z]+"},a={b:"#<",e:">"},s=[e.C("#","$",{c:[c]}),e.C("^\\=begin","^\\=end",{c:[c],r:10}),e.C("^__END__","\\n$")],n={cN:"subst",b:"#\\{",e:"}",k:r},t={cN:"string",c:[e.BE,n],v:[{b:/'/,e:/'/},{b:/"/,e:/"/},{b:/`/,e:/`/},{b:"%[qQwWx]?\\(",e:"\\)"},{b:"%[qQwWx]?\\[",e:"\\]"},{b:"%[qQwWx]?{",e:"}"},{b:"%[qQwWx]?<",e:">"},{b:"%[qQwWx]?/",e:"/"},{b:"%[qQwWx]?%",e:"%"},{b:"%[qQwWx]?-",e:"-"},{b:"%[qQwWx]?\\|",e:"\\|"},{b:/\B\?(\\\d{1,3}|\\x[A-Fa-f0-9]{1,2}|\\u[A-Fa-f0-9]{4}|\\?\S)\b/},{b:/<<(-?)\w+$/,e:/^\s*\w+$/}]},i={cN:"params",b:"\\(",e:"\\)",endsParent:!0,k:r},d=[t,a,{cN:"class",bK:"class module",e:"$|;",i:/=/,c:[e.inherit(e.TM,{b:"[A-Za-z_]\\w*(::\\w+)*(\\?|\\!)?"}),{b:"<\\s*",c:[{b:"("+e.IR+"::)?"+e.IR}]}].concat(s)},{cN:"function",bK:"def",e:"$|;",c:[e.inherit(e.TM,{b:b}),i].concat(s)},{b:e.IR+"::"},{cN:"symbol",b:e.UIR+"(\\!|\\?)?:",r:0},{cN:"symbol",b:":(?!\\s)",c:[t,{b:b}],r:0},{cN:"number",b:"(\\b0[0-7_]+)|(\\b0x[0-9a-fA-F_]+)|(\\b[1-9][0-9_]*(\\.[0-9_]+)?)|[0_]\\b",r:0},{b:"(\\$\\W)|((\\$|\\@\\@?)(\\w+))"},{cN:"params",b:/\|/,e:/\|/,k:r},{b:"("+e.RSR+"|unless)\\s*",k:"unless",c:[a,{cN:"regexp",c:[e.BE,n],i:/\n/,v:[{b:"/",e:"/[a-z]*"},{b:"%r{",e:"}[a-z]*"},{b:"%r\\(",e:"\\)[a-z]*"},{b:"%r!",e:"![a-z]*"},{b:"%r\\[",e:"\\][a-z]*"}]}].concat(s),r:0}].concat(s);n.c=d,i.c=d;var l="[>?]>",o="[\\w#]+\\(\\w+\\):\\d+:\\d+>",u="(\\w+-)?\\d+\\.\\d+\\.\\d(p\\d+)?[^>]+>",w=[{b:/^\s*=>/,starts:{e:"$",c:d}},{cN:"meta",b:"^("+l+"|"+o+"|"+u+")",starts:{e:"$",c:d}}];return{aliases:["rb","gemspec","podspec","thor","irb"],k:r,i:/\/\*/,c:s.concat(w).concat(d)}});hljs.registerLanguage("yaml",function(e){var b="true false yes no null",a="^[ \\-]*",r="[a-zA-Z_][\\w\\-]*",t={cN:"attr",v:[{b:a+r+":"},{b:a+'"'+r+'":'},{b:a+"'"+r+"':"}]},c={cN:"template-variable",v:[{b:"{{",e:"}}"},{b:"%{",e:"}"}]},l={cN:"string",r:0,v:[{b:/'/,e:/'/},{b:/"/,e:/"/},{b:/\S+/}],c:[e.BE,c]};return{cI:!0,aliases:["yml","YAML","yaml"],c:[t,{cN:"meta",b:"^---s*$",r:10},{cN:"string",b:"[\\|>] *$",rE:!0,c:l.c,e:t.v[0].b},{b:"<%[%=-]?",e:"[%-]?%>",sL:"ruby",eB:!0,eE:!0,r:0},{cN:"type",b:"!!"+e.UIR},{cN:"meta",b:"&"+e.UIR+"$"},{cN:"meta",b:"\\*"+e.UIR+"$"},{cN:"bullet",b:"^ *-",r:0},e.HCM,{bK:b,k:{literal:b}},e.CNM,l]}});hljs.registerLanguage("css",function(e){var c="[a-zA-Z-][a-zA-Z0-9_-]*",t={b:/[A-Z\_\.\-]+\s*:/,rB:!0,e:";",eW:!0,c:[{cN:"attribute",b:/\S/,e:":",eE:!0,starts:{eW:!0,eE:!0,c:[{b:/[\w-]+\(/,rB:!0,c:[{cN:"built_in",b:/[\w-]+/},{b:/\(/,e:/\)/,c:[e.ASM,e.QSM]}]},e.CSSNM,e.QSM,e.ASM,e.CBCM,{cN:"number",b:"#[0-9A-Fa-f]+"},{cN:"meta",b:"!important"}]}}]};return{cI:!0,i:/[=\/|'\$]/,c:[e.CBCM,{cN:"selector-id",b:/#[A-Za-z0-9_-]+/},{cN:"selector-class",b:/\.[A-Za-z0-9_-]+/},{cN:"selector-attr",b:/\[/,e:/\]/,i:"$"},{cN:"selector-pseudo",b:/:(:)?[a-zA-Z0-9\_\-\+\(\)"'.]+/},{b:"@(font-face|page)",l:"[a-z-]+",k:"font-face page"},{b:"@",e:"[{;]",i:/:/,c:[{cN:"keyword",b:/\w+/},{b:/\s/,eW:!0,eE:!0,r:0,c:[e.ASM,e.QSM,e.CSSNM]}]},{cN:"selector-tag",b:c,r:0},{b:"{",e:"}",i:/\S/,c:[e.CBCM,t]}]}});hljs.registerLanguage("fortran",function(e){var t={cN:"params",b:"\\(",e:"\\)"},n={literal:".False. .True.",keyword:"kind do while private call intrinsic where elsewhere type endtype endmodule endselect endinterface end enddo endif if forall endforall only contains default return stop then public subroutine|10 function program .and. .or. .not. .le. .eq. .ge. .gt. .lt. goto save else use module select case access blank direct exist file fmt form formatted iostat name named nextrec number opened rec recl sequential status unformatted unit continue format pause cycle exit c_null_char c_alert c_backspace c_form_feed flush wait decimal round iomsg synchronous nopass non_overridable pass protected volatile abstract extends import non_intrinsic value deferred generic final enumerator class associate bind enum c_int c_short c_long c_long_long c_signed_char c_size_t c_int8_t c_int16_t c_int32_t c_int64_t c_int_least8_t c_int_least16_t c_int_least32_t c_int_least64_t c_int_fast8_t c_int_fast16_t c_int_fast32_t c_int_fast64_t c_intmax_t C_intptr_t c_float c_double c_long_double c_float_complex c_double_complex c_long_double_complex c_bool c_char c_null_ptr c_null_funptr c_new_line c_carriage_return c_horizontal_tab c_vertical_tab iso_c_binding c_loc c_funloc c_associated  c_f_pointer c_ptr c_funptr iso_fortran_env character_storage_size error_unit file_storage_size input_unit iostat_end iostat_eor numeric_storage_size output_unit c_f_procpointer ieee_arithmetic ieee_support_underflow_control ieee_get_underflow_mode ieee_set_underflow_mode newunit contiguous recursive pad position action delim readwrite eor advance nml interface procedure namelist include sequence elemental pure integer real character complex logical dimension allocatable|10 parameter external implicit|10 none double precision assign intent optional pointer target in out common equivalence data",built_in:"alog alog10 amax0 amax1 amin0 amin1 amod cabs ccos cexp clog csin csqrt dabs dacos dasin datan datan2 dcos dcosh ddim dexp dint dlog dlog10 dmax1 dmin1 dmod dnint dsign dsin dsinh dsqrt dtan dtanh float iabs idim idint idnint ifix isign max0 max1 min0 min1 sngl algama cdabs cdcos cdexp cdlog cdsin cdsqrt cqabs cqcos cqexp cqlog cqsin cqsqrt dcmplx dconjg derf derfc dfloat dgamma dimag dlgama iqint qabs qacos qasin qatan qatan2 qcmplx qconjg qcos qcosh qdim qerf qerfc qexp qgamma qimag qlgama qlog qlog10 qmax1 qmin1 qmod qnint qsign qsin qsinh qsqrt qtan qtanh abs acos aimag aint anint asin atan atan2 char cmplx conjg cos cosh exp ichar index int log log10 max min nint sign sin sinh sqrt tan tanh print write dim lge lgt lle llt mod nullify allocate deallocate adjustl adjustr all allocated any associated bit_size btest ceiling count cshift date_and_time digits dot_product eoshift epsilon exponent floor fraction huge iand ibclr ibits ibset ieor ior ishft ishftc lbound len_trim matmul maxexponent maxloc maxval merge minexponent minloc minval modulo mvbits nearest pack present product radix random_number random_seed range repeat reshape rrspacing scale scan selected_int_kind selected_real_kind set_exponent shape size spacing spread sum system_clock tiny transpose trim ubound unpack verify achar iachar transfer dble entry dprod cpu_time command_argument_count get_command get_command_argument get_environment_variable is_iostat_end ieee_arithmetic ieee_support_underflow_control ieee_get_underflow_mode ieee_set_underflow_mode is_iostat_eor move_alloc new_line selected_char_kind same_type_as extends_type_ofacosh asinh atanh bessel_j0 bessel_j1 bessel_jn bessel_y0 bessel_y1 bessel_yn erf erfc erfc_scaled gamma log_gamma hypot norm2 atomic_define atomic_ref execute_command_line leadz trailz storage_size merge_bits bge bgt ble blt dshiftl dshiftr findloc iall iany iparity image_index lcobound ucobound maskl maskr num_images parity popcnt poppar shifta shiftl shiftr this_image"};return{cI:!0,aliases:["f90","f95"],k:n,i:/\/\*/,c:[e.inherit(e.ASM,{cN:"string",r:0}),e.inherit(e.QSM,{cN:"string",r:0}),{cN:"function",bK:"subroutine function program",i:"[${=\\n]",c:[e.UTM,t]},e.C("!","$",{r:0}),{cN:"number",b:"(?=\\b|\\+|\\-|\\.)(?=\\.\\d|\\d)(?:\\d+)?(?:\\.?\\d*)(?:[de][+-]?\\d+)?\\b\\.?",r:0}]}});hljs.registerLanguage("awk",function(e){var r={cN:"variable",v:[{b:/\$[\w\d#@][\w\d_]*/},{b:/\$\{(.*?)}/}]},b="BEGIN END if else while do for in break continue delete next nextfile function func exit|10",n={cN:"string",c:[e.BE],v:[{b:/(u|b)?r?'''/,e:/'''/,r:10},{b:/(u|b)?r?"""/,e:/"""/,r:10},{b:/(u|r|ur)'/,e:/'/,r:10},{b:/(u|r|ur)"/,e:/"/,r:10},{b:/(b|br)'/,e:/'/},{b:/(b|br)"/,e:/"/},e.ASM,e.QSM]};return{k:{keyword:b},c:[r,n,e.RM,e.HCM,e.NM]}});hljs.registerLanguage("makefile",function(e){var i={cN:"variable",v:[{b:"\\$\\("+e.UIR+"\\)",c:[e.BE]},{b:/\$[@%<?\^\+\*]/}]},r={cN:"string",b:/"/,e:/"/,c:[e.BE,i]},a={cN:"variable",b:/\$\([\w-]+\s/,e:/\)/,k:{built_in:"subst patsubst strip findstring filter filter-out sort word wordlist firstword lastword dir notdir suffix basename addsuffix addprefix join wildcard realpath abspath error warning shell origin flavor foreach if or and call eval file value"},c:[i]},n={b:"^"+e.UIR+"\\s*[:+?]?=",i:"\\n",rB:!0,c:[{b:"^"+e.UIR,e:"[:+?]?=",eE:!0}]},t={cN:"meta",b:/^\.PHONY:/,e:/$/,k:{"meta-keyword":".PHONY"},l:/[\.\w]+/},l={cN:"section",b:/^[^\s]+:/,e:/$/,c:[i]};return{aliases:["mk","mak"],k:"define endef undefine ifdef ifndef ifeq ifneq else endif include -include sinclude override export unexport private vpath",l:/[\w-]+/,c:[e.HCM,i,r,a,n,t,l]}});hljs.registerLanguage("java",function(e){var a="[À-ʸa-zA-Z_$][À-ʸa-zA-Z_$0-9]*",t=a+"(<"+a+"(\\s*,\\s*"+a+")*>)?",r="false synchronized int abstract float private char boolean static null if const for true while long strictfp finally protected import native final void enum else break transient catch instanceof byte super volatile case assert short package default double public try this switch continue throws protected public private module requires exports do",s="\\b(0[bB]([01]+[01_]+[01]+|[01]+)|0[xX]([a-fA-F0-9]+[a-fA-F0-9_]+[a-fA-F0-9]+|[a-fA-F0-9]+)|(([\\d]+[\\d_]+[\\d]+|[\\d]+)(\\.([\\d]+[\\d_]+[\\d]+|[\\d]+))?|\\.([\\d]+[\\d_]+[\\d]+|[\\d]+))([eE][-+]?\\d+)?)[lLfF]?",c={cN:"number",b:s,r:0};return{aliases:["jsp"],k:r,i:/<\/|#/,c:[e.C("/\\*\\*","\\*/",{r:0,c:[{b:/\w+@/,r:0},{cN:"doctag",b:"@[A-Za-z]+"}]}),e.CLCM,e.CBCM,e.ASM,e.QSM,{cN:"class",bK:"class interface",e:/[{;=]/,eE:!0,k:"class interface",i:/[:"\[\]]/,c:[{bK:"extends implements"},e.UTM]},{bK:"new throw return else",r:0},{cN:"function",b:"("+t+"\\s+)+"+e.UIR+"\\s*\\(",rB:!0,e:/[{;=]/,eE:!0,k:r,c:[{b:e.UIR+"\\s*\\(",rB:!0,r:0,c:[e.UTM]},{cN:"params",b:/\(/,e:/\)/,k:r,r:0,c:[e.ASM,e.QSM,e.CNM,e.CBCM]},e.CLCM,e.CBCM]},c,{cN:"meta",b:"@[A-Za-z]+"}]}});hljs.registerLanguage("stan",function(e){return{c:[e.HCM,e.CLCM,e.CBCM,{b:e.UIR,l:e.UIR,k:{name:"for in while repeat until if then else",symbol:"bernoulli bernoulli_logit binomial binomial_logit beta_binomial hypergeometric categorical categorical_logit ordered_logistic neg_binomial neg_binomial_2 neg_binomial_2_log poisson poisson_log multinomial normal exp_mod_normal skew_normal student_t cauchy double_exponential logistic gumbel lognormal chi_square inv_chi_square scaled_inv_chi_square exponential inv_gamma weibull frechet rayleigh wiener pareto pareto_type_2 von_mises uniform multi_normal multi_normal_prec multi_normal_cholesky multi_gp multi_gp_cholesky multi_student_t gaussian_dlm_obs dirichlet lkj_corr lkj_corr_cholesky wishart inv_wishart","selector-tag":"int real vector simplex unit_vector ordered positive_ordered row_vector matrix cholesky_factor_corr cholesky_factor_cov corr_matrix cov_matrix",title:"functions model data parameters quantities transformed generated",literal:"true false"},r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"\\d+(?:[eE][+\\-]?\\d*)?L\\b",r:0},{cN:"number",b:"\\d+\\.(?!\\d)(?:i\\b)?",r:0},{cN:"number",b:"\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",r:0}]}});hljs.registerLanguage("javascript",function(e){var r="[A-Za-z$_][0-9A-Za-z$_]*",t={keyword:"in of if for while finally var new function do return void else break catch instanceof with throw case default try this switch continue typeof delete let yield const export super debugger as async await static import from as",literal:"true false null undefined NaN Infinity",built_in:"eval isFinite isNaN parseFloat parseInt decodeURI decodeURIComponent encodeURI encodeURIComponent escape unescape Object Function Boolean Error EvalError InternalError RangeError ReferenceError StopIteration SyntaxError TypeError URIError Number Math Date String RegExp Array Float32Array Float64Array Int16Array Int32Array Int8Array Uint16Array Uint32Array Uint8Array Uint8ClampedArray ArrayBuffer DataView JSON Intl arguments require module console window document Symbol Set Map WeakSet WeakMap Proxy Reflect Promise"},a={cN:"number",v:[{b:"\\b(0[bB][01]+)"},{b:"\\b(0[oO][0-7]+)"},{b:e.CNR}],r:0},n={cN:"subst",b:"\\$\\{",e:"\\}",k:t,c:[]},c={cN:"string",b:"`",e:"`",c:[e.BE,n]};n.c=[e.ASM,e.QSM,c,a,e.RM];var s=n.c.concat([e.CBCM,e.CLCM]);return{aliases:["js","jsx"],k:t,c:[{cN:"meta",r:10,b:/^\s*['"]use (strict|asm)['"]/},{cN:"meta",b:/^#!/,e:/$/},e.ASM,e.QSM,c,e.CLCM,e.CBCM,a,{b:/[{,]\s*/,r:0,c:[{b:r+"\\s*:",rB:!0,r:0,c:[{cN:"attr",b:r,r:0}]}]},{b:"("+e.RSR+"|\\b(case|return|throw)\\b)\\s*",k:"return throw case",c:[e.CLCM,e.CBCM,e.RM,{cN:"function",b:"(\\(.*?\\)|"+r+")\\s*=>",rB:!0,e:"\\s*=>",c:[{cN:"params",v:[{b:r},{b:/\(\s*\)/},{b:/\(/,e:/\)/,eB:!0,eE:!0,k:t,c:s}]}]},{b:/</,e:/(\/\w+|\w+\/)>/,sL:"xml",c:[{b:/<\w+\s*\/>/,skip:!0},{b:/<\w+/,e:/(\/\w+|\w+\/)>/,skip:!0,c:[{b:/<\w+\s*\/>/,skip:!0},"self"]}]}],r:0},{cN:"function",bK:"function",e:/\{/,eE:!0,c:[e.inherit(e.TM,{b:r}),{cN:"params",b:/\(/,e:/\)/,eB:!0,eE:!0,c:s}],i:/\[|%/},{b:/\$[(.]/},e.METHOD_GUARD,{cN:"class",bK:"class",e:/[{;=]/,eE:!0,i:/[:"\[\]]/,c:[{bK:"extends"},e.UTM]},{bK:"constructor",e:/\{/,eE:!0}],i:/#(?!!)/}});hljs.registerLanguage("tex",function(c){var e={cN:"tag",b:/\\/,r:0,c:[{cN:"name",v:[{b:/[a-zA-Zа-яА-я]+[*]?/},{b:/[^a-zA-Zа-яА-я0-9]/}],starts:{eW:!0,r:0,c:[{cN:"string",v:[{b:/\[/,e:/\]/},{b:/\{/,e:/\}/}]},{b:/\s*=\s*/,eW:!0,r:0,c:[{cN:"number",b:/-?\d*\.?\d+(pt|pc|mm|cm|in|dd|cc|ex|em)?/}]}]}}]};return{c:[e,{cN:"formula",c:[e],r:0,v:[{b:/\$\$/,e:/\$\$/},{b:/\$/,e:/\$/}]},c.C("%","$",{r:0})]}});hljs.registerLanguage("xml",function(s){var e="[A-Za-z0-9\\._:-]+",t={eW:!0,i:/</,r:0,c:[{cN:"attr",b:e,r:0},{b:/=\s*/,r:0,c:[{cN:"string",endsParent:!0,v:[{b:/"/,e:/"/},{b:/'/,e:/'/},{b:/[^\s"'=<>`]+/}]}]}]};return{aliases:["html","xhtml","rss","atom","xjb","xsd","xsl","plist"],cI:!0,c:[{cN:"meta",b:"<!DOCTYPE",e:">",r:10,c:[{b:"\\[",e:"\\]"}]},s.C("<!--","-->",{r:10}),{b:"<\\!\\[CDATA\\[",e:"\\]\\]>",r:10},{b:/<\?(php)?/,e:/\?>/,sL:"php",c:[{b:"/\\*",e:"\\*/",skip:!0}]},{cN:"tag",b:"<style(?=\\s|>|$)",e:">",k:{name:"style"},c:[t],starts:{e:"</style>",rE:!0,sL:["css","xml"]}},{cN:"tag",b:"<script(?=\\s|>|$)",e:">",k:{name:"script"},c:[t],starts:{e:"</script>",rE:!0,sL:["actionscript","javascript","handlebars","xml"]}},{cN:"meta",v:[{b:/<\?xml/,e:/\?>/,r:10},{b:/<\?\w+/,e:/\?>/}]},{cN:"tag",b:"</?",e:"/?>",c:[{cN:"name",b:/[^\/><\s]+/,r:0},t]}]}});hljs.registerLanguage("markdown",function(e){return{aliases:["md","mkdown","mkd"],c:[{cN:"section",v:[{b:"^#{1,6}",e:"$"},{b:"^.+?\\n[=-]{2,}$"}]},{b:"<",e:">",sL:"xml",r:0},{cN:"bullet",b:"^([*+-]|(\\d+\\.))\\s+"},{cN:"strong",b:"[*_]{2}.+?[*_]{2}"},{cN:"emphasis",v:[{b:"\\*.+?\\*"},{b:"_.+?_",r:0}]},{cN:"quote",b:"^>\\s+",e:"$"},{cN:"code",v:[{b:"^```w*s*$",e:"^```s*$"},{b:"`.+?`"},{b:"^( {4}|	)",e:"$",r:0}]},{b:"^[-\\*]{3,}",e:"$"},{b:"\\[.+?\\][\\(\\[].*?[\\)\\]]",rB:!0,c:[{cN:"string",b:"\\[",e:"\\]",eB:!0,rE:!0,r:0},{cN:"link",b:"\\]\\(",e:"\\)",eB:!0,eE:!0},{cN:"symbol",b:"\\]\\[",e:"\\]",eB:!0,eE:!0}],r:10},{b:/^\[[^\n]+\]:/,rB:!0,c:[{cN:"symbol",b:/\[/,e:/\]/,eB:!0,eE:!0},{cN:"link",b:/:\s*/,e:/$/,eB:!0}]}]}});hljs.registerLanguage("json",function(e){var i={literal:"true false null"},n=[e.QSM,e.CNM],r={e:",",eW:!0,eE:!0,c:n,k:i},t={b:"{",e:"}",c:[{cN:"attr",b:/"/,e:/"/,c:[e.BE],i:"\\n"},e.inherit(r,{b:/:/})],i:"\\S"},c={b:"\\[",e:"\\]",c:[e.inherit(r)],i:"\\S"};return n.splice(n.length,0,t,c),{c:n,k:i,i:"\\S"}});"></script>
+
+<style type="text/css">
+  code{white-space: pre-wrap;}
+  span.smallcaps{font-variant: small-caps;}
+  span.underline{text-decoration: underline;}
+  div.column{display: inline-block; vertical-align: top; width: 50%;}
+  div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+  ul.task-list{list-style: none;}
+    </style>
+
+<style type="text/css">code{white-space: pre;}</style>
+<script type="text/javascript">
+if (window.hljs) {
+  hljs.configure({languages: []});
+  hljs.initHighlightingOnLoad();
+  if (document.readyState && document.readyState === "complete") {
+    window.setTimeout(function() { hljs.initHighlighting(); }, 0);
+  }
+}
+</script>
+
+
+
+
+
+
+
+
+<style type="text/css">
+.main-container {
+  max-width: 940px;
+  margin-left: auto;
+  margin-right: auto;
+}
+img {
+  max-width:100%;
+}
+.tabbed-pane {
+  padding-top: 12px;
+}
+.html-widget {
+  margin-bottom: 20px;
+}
+button.code-folding-btn:focus {
+  outline: none;
+}
+summary {
+  display: list-item;
+}
+pre code {
+  padding: 0;
+}
+</style>
+
+
+
+<!-- tabsets -->
+
+<style type="text/css">
+.tabset-dropdown > .nav-tabs {
+  display: inline-table;
+  max-height: 500px;
+  min-height: 44px;
+  overflow-y: auto;
+  border: 1px solid #ddd;
+  border-radius: 4px;
+}
+
+.tabset-dropdown > .nav-tabs > li.active:before {
+  content: "";
+  font-family: 'Glyphicons Halflings';
+  display: inline-block;
+  padding: 10px;
+  border-right: 1px solid #ddd;
+}
+
+.tabset-dropdown > .nav-tabs.nav-tabs-open > li.active:before {
+  content: "";
+  border: none;
+}
+
+.tabset-dropdown > .nav-tabs.nav-tabs-open:before {
+  content: "";
+  font-family: 'Glyphicons Halflings';
+  display: inline-block;
+  padding: 10px;
+  border-right: 1px solid #ddd;
+}
+
+.tabset-dropdown > .nav-tabs > li.active {
+  display: block;
+}
+
+.tabset-dropdown > .nav-tabs > li > a,
+.tabset-dropdown > .nav-tabs > li > a:focus,
+.tabset-dropdown > .nav-tabs > li > a:hover {
+  border: none;
+  display: inline-block;
+  border-radius: 4px;
+  background-color: transparent;
+}
+
+.tabset-dropdown > .nav-tabs.nav-tabs-open > li {
+  display: block;
+  float: none;
+}
+
+.tabset-dropdown > .nav-tabs > li {
+  display: none;
+}
+</style>
+
+<!-- code folding -->
+<style type="text/css">
+.code-folding-btn { margin-bottom: 4px; }
+</style>
+
+
+
+<style type="text/css">
+
+#TOC {
+  margin: 25px 0px 20px 0px;
+}
+@media (max-width: 768px) {
+#TOC {
+  position: relative;
+  width: 100%;
+}
+}
+
+@media print {
+.toc-content {
+  /* see https://github.com/w3c/csswg-drafts/issues/4434 */
+  float: right;
+}
+}
+
+.toc-content {
+  padding-left: 30px;
+  padding-right: 40px;
+}
+
+div.main-container {
+  max-width: 1200px;
+}
+
+div.tocify {
+  width: 20%;
+  max-width: 260px;
+  max-height: 85%;
+}
+
+@media (min-width: 768px) and (max-width: 991px) {
+  div.tocify {
+    width: 25%;
+  }
+}
+
+@media (max-width: 767px) {
+  div.tocify {
+    width: 100%;
+    max-width: none;
+  }
+}
+
+.tocify ul, .tocify li {
+  line-height: 20px;
+}
+
+.tocify-subheader .tocify-item {
+  font-size: 0.90em;
+}
+
+.tocify .list-group-item {
+  border-radius: 0px;
+}
+
+
+</style>
+
+
+
+</head>
+
+<body>
+
+
+<div class="container-fluid main-container">
+
+
+<!-- setup 3col/9col grid for toc_float and main content  -->
+<div class="row">
+<div class="col-xs-12 col-sm-4 col-md-3">
+<div id="TOC" class="tocify">
+</div>
+</div>
+
+<div class="toc-content col-xs-12 col-sm-8 col-md-9">
+
+
+
+
+<div id="header">
+
+<div class="btn-group pull-right float-right">
+<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm dropdown-toggle" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"><span>Code</span> <span class="caret"></span></button>
+<ul class="dropdown-menu dropdown-menu-right" style="min-width: 50px;">
+<li><a id="rmd-show-all-code" href="#">Show All Code</a></li>
+<li><a id="rmd-hide-all-code" href="#">Hide All Code</a></li>
+</ul>
+</div>
+
+
+
+<h1 class="title toc-ignore">Example evaluations of the dimethenamid data from 2018</h1>
+<h4 class="author">Johannes Ranke</h4>
+<h4 class="date">Last change 11 January 2022, built on 11 Jan 2022</h4>
+
+</div>
+
+
+<p><a href="http://www.jrwb.de">Wissenschaftlicher Berater, Kronacher Str. 12, 79639 Grenzach-Wyhlen, Germany</a></p>
+<div id="introduction" class="section level1">
+<h1>Introduction</h1>
+<p>During the preparation of the journal article on nonlinear mixed-effects models in degradation kinetics <span class="citation">(Ranke et al. 2021)</span> and the analysis of the dimethenamid degradation data analysed therein, a need for a more detailed analysis using not only nlme and saemix, but also nlmixr for fitting the mixed-effects models was identified, as many model variants do not converge when fitted with nlme, and not all relevant error models can be fitted with saemix.</p>
+<p>This vignette is an attempt to satisfy this need.</p>
+</div>
+<div id="data" class="section level1">
+<h1>Data</h1>
+<p>Residue data forming the basis for the endpoints derived in the conclusion on the peer review of the pesticide risk assessment of dimethenamid-P published by the European Food Safety Authority (EFSA) in 2018 <span class="citation">(EFSA 2018)</span> were transcribed from the risk assessment report <span class="citation">(Rapporteur Member State Germany, Co-Rapporteur Member State Bulgaria 2018)</span> which can be downloaded from the Open EFSA repository <a href="https://open.efsa.europa.eu">https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716</a>.</p>
+<p>The data are <a href="https://pkgdown.jrwb.de/mkin/reference/dimethenamid_2018.html">available in the mkin package</a>. The following code (hidden by default, please use the button to the right to show it) treats the data available for the racemic mixture dimethenamid (DMTA) and its enantiomer dimethenamid-P (DMTAP) in the same way, as no difference between their degradation behaviour was identified in the EU risk assessment. The observation times of each dataset are multiplied with the corresponding normalisation factor also available in the dataset, in order to make it possible to describe all datasets with a single set of parameters.</p>
+<p>Also, datasets observed in the same soil are merged, resulting in dimethenamid (DMTA) data from six soils.</p>
+<pre class="r"><code>library(mkin, quietly = TRUE)
+dmta_ds &lt;- lapply(1:7, function(i) {
+  ds_i &lt;- dimethenamid_2018$ds[[i]]$data
+  ds_i[ds_i$name == &quot;DMTAP&quot;, &quot;name&quot;] &lt;-  &quot;DMTA&quot;
+  ds_i$time &lt;- ds_i$time * dimethenamid_2018$f_time_norm[i]
+  ds_i
+})
+names(dmta_ds) &lt;- sapply(dimethenamid_2018$ds, function(ds) ds$title)
+dmta_ds[[&quot;Elliot&quot;]] &lt;- rbind(dmta_ds[[&quot;Elliot 1&quot;]], dmta_ds[[&quot;Elliot 2&quot;]])
+dmta_ds[[&quot;Elliot 1&quot;]] &lt;- NULL
+dmta_ds[[&quot;Elliot 2&quot;]] &lt;- NULL</code></pre>
+</div>
+<div id="parent-degradation" class="section level1">
+<h1>Parent degradation</h1>
+<p>We evaluate the observed degradation of the parent compound using simple exponential decline (SFO) and biexponential decline (DFOP), using constant variance (const) and a two-component variance (tc) as error models.</p>
+<div id="separate-evaluations" class="section level2">
+<h2>Separate evaluations</h2>
+<p>As a first step, to get a visual impression of the fit of the different models, we do separate evaluations for each soil using the mmkin function from the mkin package:</p>
+<pre class="r"><code>f_parent_mkin_const &lt;- mmkin(c(&quot;SFO&quot;, &quot;DFOP&quot;), dmta_ds,
+  error_model = &quot;const&quot;, quiet = TRUE)
+f_parent_mkin_tc &lt;- mmkin(c(&quot;SFO&quot;, &quot;DFOP&quot;), dmta_ds,
+  error_model = &quot;tc&quot;, quiet = TRUE)</code></pre>
+<p>The plot of the individual SFO fits shown below suggests that at least in some datasets the degradation slows down towards later time points, and that the scatter of the residuals error is smaller for smaller values (panel to the right):</p>
+<pre class="r"><code>plot(mixed(f_parent_mkin_const[&quot;SFO&quot;, ]))</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>Using biexponential decline (DFOP) results in a slightly more random scatter of the residuals:</p>
+<pre class="r"><code>plot(mixed(f_parent_mkin_const[&quot;DFOP&quot;, ]))</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>The population curve (bold line) in the above plot results from taking the mean of the individual transformed parameters, i.e. of log k1 and log k2, as well as of the logit of the g parameter of the DFOP model). Here, this procedure does not result in parameters that represent the degradation well, because in some datasets the fitted value for k2 is extremely close to zero, leading to a log k2 value that dominates the average. This is alleviated if only rate constants that pass the t-test for significant difference from zero (on the untransformed scale) are considered in the averaging:</p>
+<pre class="r"><code>plot(mixed(f_parent_mkin_const[&quot;DFOP&quot;, ]), test_log_parms = TRUE)</code></pre>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAHgCAIAAAD17khjAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nOzdd1gU19oA8DOzve+ydJCOiCg2RKPGhgWJ3VgSc+3R2P00RaNJjN0Ya2KJUWMXTSxRsd1oNGqwotiRovS2uyx125Tvj/UiIiLCwuD4/p59fGbPzJzzzjrLu9POwWiaRgAAAABgF5zpAAAAAABge5DgAQAAABaCBA8AAACwECR4AAAAgIUgwQMAAAAsBAkeAAAAYCFI8AAAAAALQYIHAAAAWAgSPAAAAMBCkOABAAAAFoIEDwAAALAQJHgAAACAhSDBAwAAACwECR4AAABgIUjwAAAAAAtBggcAAABYCBI8AAAAwEKQ4AEAAAAWggQPAAAAsBAkeAAAAICFIMEDAAAALAQJHgAAAGAhSPAAAAAAC0GCB/VX69atsf+RyWTdunV7+PBhzatNT0/HMIwkydcumZyczOPxat5ihbQGavG/BbaqrUWLFtiLBg8eXPUtrZxWq7VJPfXHyx9XgwYNUJl9o3SiVvcBAGoVJHhQry1YsCArKysrK+vSpUtGo3Hw4MF10GhoaGhMTAxCSK1Wr1+/vpZa0RqoS2kmG1a4ZMmSrDJ+/fVXG1bOPuU+Luv/+Mteuw+U7i0A1DdcpgMAoDJyudzJyQkh5OTkNHfu3IiIiMzMTBcXl1ptNDc312KxIISkUun48eNrtS0bKv2sShUXFzMVjE2Yn35F5p2pcJYgYC8uDqxJ5S9/XBV67T5QurcAUN/AETyoKovFkmcjNE3XJAyE0I0bNzp06CCTyYKCgnbv3o0QioqK6ty588iRIxUKhYeHx/fff09RVGJiokwmK123V69eW7duLVvb6dOnQ0JCJBKJm5vb/PnzEUKdO3dOTU2NiIg4ePBg2dOzL7eo1WpVKtWmTZucnZ2lUumQIUNMJlsekdvWy1v6qsIrV660bdtWLpe/9957169fL63h+PHjgYGBMpmszraUI++AECUM/EPY+HDpi+cyCcN5uMivDgJAL16meXkfKLu31E08AFQdHMGDKiFJMjAwMDEx0Sa1ffTRR3v37q3KkkVFRVqtFiGUnZ29dOlSf3//Bg0a6HS6Hj16zJ0799ChQ1evXv344489PDwQQhcuXBg5cuTdu3cTExOHDx/u5OTUvXv3SiovKSkZMGDAsmXLhg4deufOnd69e/fv3//8+fPe3t6RkZFt2rRJTk62Lllhi0FBQQUFBadPn7537156enqXLl0iIyNHjhyJEDKR9PqbRU4SzvAgsXWaoBFCKM9IZRaRje15JI3+TTOlFZI/XC0kaRSTZcYw1MqJj2HITfp8LWsNVfxUp0yZMmXKlLIfXeVb2rBhw5cLXV1de/bsuWrVqoiIiK1bt37wwQcZGRnWSnbu3Hnx4sXMzMx27dr98ccfw4cPr2Jgr0XmnaAKr1c4C0OY+cmXuCS4dFkiZw+u6GhJXVLh8lzXaRhXVZVGy31c/fv3P3z4cCXLV7gPlN1bqtIoAHUJEjyoEgzDXF1ddTqdTWpzdnau4pLz5s2bN28eQojH44WEhBw8eBDDsCNHjvj6+s6aNQsh1KdPn9GjR+/cuXPAgAFisXj9+vUSicTDw2PevHnbt2+vPMHzeLxbt24FBARQFOXs7CwWi60/Jl5WYYvLly+nKGrFihX29vb29vbdu3fXaDTW5bkYphbhKiFeOm0kaIQQjjATgSv4GEUjOR/jYMg6rRJgHBxTCjCEUNm1rNNVtGTJkjFjxpS+FYvFer2+ki2tsPDChQutW7ceO3YsQujrr7+2t7fPz8+3VrJ8+XLrlvbo0aN0S20C46oQV1HhLNzuAzJnByZrheFihBBZ+C/Gs8clzSquBxNgGL+KjZb7uAQCQeXLV7gPdOzYsYrNAVD3IMGDKsFx/J9//qn7dtesWTN9+vRyhWlpaX5+z8/Q+vv7Hzt2DCHk6uoqkUishYGBgSkpKeVWLHdpgMvlHj9+fODAgRwOx9/fH8dfmU1f1SJCyN3d3TrB5z9PLRwcjWwqeXm6rDAv4fS/8ia0kFbY4qvWqkQlF5Ur3NIKC5OTk/39/a1r4Tj+2WefIYSsv3s8PT1f3lKbwGXv4bL3XjXXTBkQUcjz+pq25BKZ6wWNT+Ai/5o3WsVr8KUq2QcAqJ8gwYO3j5ubW1RUVOnbpKQka5bNyMgoKSkRi8UIocePH1sLSZKkaRrDMIRQVlZW2XpOnjy5fPny69evW1NXaWKreosIIWvN9VyFW1phoZub29mzZ61r0TQ9f/78ESNGKJVKhFAlP4BqFa/BN8bYNpTjCCLrF679MJtk92qoZB8AoH6Cm+zA26dfv35xcXHr1q3Ly8s7derU1q1brVe+S0pKpk2blpmZeenSpYULF44cOVKlUhmNxu3btxuNxi1btsTGxpatJy8vj8PhWFdct25dYmJi6W3npeelK2/xbVHhllZYOHjw4H/++WfPnj0ajWblypVr165Vq9XMBo9xVTy3mebECWTeSa77F7aq1np7R1kURVWyfCX7QLm9BYB6AhI8ePvY29ufPn06MjLSw8Nj5syZGzdu7NSpE0KocePGrq6uLVu2HDZs2NixYz/77DM7O7uVK1d+9dVXEolk06ZNffv2LVvPkCFDwsLCmjZt2rRpU7PZPHv27FGjRmk0mqFDhw4aNOj3339/bYs14STB+/qLalhJFVW4pV27dn25UCwWHzt2bNWqVZ6ennv37v3zzz+th+/M4jqNRZSZ12AuxpHbqs7Zs2fbvyg1NbWS5V+1D7y8twBQT2A1eWAJgPojKipq9uzZd+/eZToQUDsoE8Jfcx8cAKAsOIIHALwNILsD8IYgwQOW8PDwGDJkCNNRAABAfQGn6AEAAAAWgiN4AAAAgIUgwQMAAAAsBAke1Gv379/v06ePq6urSqUKCwuLjo5+1ZKlA3hfvny5ki5r2Eomk5UObW5vbz9ixIiCgoLXzrKaP38+hmHr1q17VeVJSUnh4eEqlcrDw2PRokXVWAAAUPcgwQObKblxN2/nYX1klDmpsueJqy4mJiY0NLR58+anTp26cOFCy5Yte/ToERcXZ5PKmVJM078UFJFlStIJcl+RDcZ13bt3b1ZWVkZGxokTJ2JjY7/88suqzEIIRUZGent779+/v8JqzWZzp06dPD097969u2PHjjVr1mzbtu2NFgAAMAISPLCN3LXb9QdO4ko5wrGc5b8UnrJBx/VTpkz5/PPPFy5cGBwcHBwcvGLFis6dO2/YsKHmNTNIgNA1k2m2Ns+a49MJcmSuxia93drZ2Tk5Obm4uISGho4aNerOnTtVmXXr1q3ExMTNmzdHR0dX2NPL1atX8/Pzf/75Z3d39y5dukycOPHIkSNvtAAAgBGQ4IENlNy4S2TkuCydpegbphwS4bzkc/3vJ0l9YU3qTElJiY6Onjp1atnCHTt2WI8+KxzIvByCIAYPHty7d2+TyZSYmBgeHq5UKtu3b28dyZspXAzbaG9XSNNfaPPSSHJ0rmaUTDpM+mbjylQuPT390KFDAwcOrMqsyMjI7t27d+vWzcfH58CBAy+v4uzsvGbNmtIx0XU6XblO6V+7AACAETDYDKgqw60HJdee9+Uu7dZe4OthLdfvj8I4HN2WA6XlAj/Pwv9eInX6l5evovv376vVant7+7KFdnZ26BWjmzs4OJRdkiCI4cOHGwyGgwcPIoS6d+8+fPjwXbt23b9//+OPP1ar1b169arOp1A1Rpr+QV9AovLPoDbgcMfJpRRCTjh+3mSKyMxpwufFWyzf5elL55ZbtxGP91HV0n94eHjpdFBQ0IgRI147i6bp/fv3L1y4ECE0aNCgAwcOWIdDLcvf37/0noa///579+7d+/bte6MFAACMgAQPqorrpOb7PM/QXJWitJxrb0eTpHWutZwymblOao5S/vLyVUSS5KsGaqtwIPOyCd6a3aOiorKysgQCwZ9//mkymb799lsej9e5c+eJEyf+8ssvtZrgeRjWjM8zvdTHhCuXY53rw+P+12BU4biFRoE8Pv7i3LLr+vKq+iXdu3dv165dEUKFhYXz58/v3r176eA6r5oVHR2dlZXVs2dPk8n0wQcf/PDDD0+ePPH29n65coPB8N13323YsGHHjh0RERHVWAAAUMcgwYOq4rk68VwrGD+b5+qkHByes3yzaPwwrr0KIWS4E0dk5ohDm+HC6ncv2rhxY41Gk5ubWzZzHzp0aOfOnYcPH658HPenT5+2a9fOxcVl3bp1X3/9dVJSklar9fB4/uskJCSk2oFVBQehfhLxq+bmkOSeouJJCtkQiXiaNu+aybRCreJUbd1KWC+0I4ScnJy+//57Pz+/pKQkHx+fSmZFRkaaTKayw6IfOHDgq6++KldzYmJi3759XVxcbt68GRAQ8HLTr10AAFD3IMEDG+D7eCgG9sz86geBnydlMhOZOfbTR9UkuyOEvL29g4ODV69evWTJktLCLVu2KBSK147j7u7uvmvXrrNnz/br12/YsGEuLi4hISGXLl2yzk1JSSEIoiax1UQRRf8nRzNGJv1YKkEIrVGrJmt0i/Pyv33DMxyVs/7oKSoqqmQWSZIHDhzYvn176bCns2bN2r9/f7kEb7FYevXq1adPnxUrVlR4cf21CwAAGAEJHtiGrOf74jbNzYnJGJ8naOiNCfg1rBDDsE2bNnXq1IkkyeHDh5MkuXXr1nPnzt28efP27dulA5lv2bKl7DjuVkKhEMfx7t279+/ff9KkSZGRkdOnT1+1atWIESMePXr04YcfrlmzxnpoW/dEOPaDnarl/z4fIYZtsLeLs1hqXnN+fr5Wq0UIFRUVff/99x4eHo0aNapk1vnz5/Py8vr161daw+DBg1etWhUfH1/2N9Px48e1Wu348eOfPHliLRGLxS4uLocOHfLy8mrZsuWrFqj5FgEAaoQGoB67du1aWFiYvb29Wq0OCwu7cuUKTdNms3n48OEymczHx2fFihVz5sxRqVS3b99GCBEEcenSJT8/P+vqWVlZSqUyMjLy1q1bHTt2lEqlnp6eq1atYnSbaoVUKi39UgsEgtDQ0OvXr1c+a9y4cX369ClbCUVRHh4eCxcuLFv48kMKvXv3pmnaz89v9uzZlSwAAGAWDDYDAAAAsBBcMAMAAABYCBI8AAAAwEKQ4AEAAAAWggQPAAAAsBAkeGBL2aaMYrKCZ68BAADUMUjwwGYImlj9ZOHutF9sVeFrBzK3rdIR5WuvibLyj+c+7nbDkmWySW3Mjgd/7ty5li1bSiSSRo0a7d271yZbBACoIUjwwGb+yj3mxHdJKHkUX/zQVnVWPpD5mwoNDY2JibFVbDWhP5abMv2RqJksvleMrXI8U+PB63S6QYMGjRgxIj4+furUqSNGjHjw4IFNtggAUBOQ4IFtFBD6k7mHP3Ib96HLiD3pv1I0ZZNqKxnI/FVomjabzRXOys3Ntdiiz7gayj+lSZ3+yPdAswYrA9Sj3R6Hx1gybJDjmRoP/sqVK46OjjNmzHB1dZ08ebKnp+fVq1drvjkAgBqCBA9s44/MXR3swpwFrm2U7wtx0eW8c7atv9xA5jdu3OjQoYNMJgsKCrKO756dna1Sqc6cOePt7R0dHb18+XIPDw+JRNKpU6f4+HiEUOfOnVNTUyMiIqwDyDI1Qnz+KU3KpIe+vzcTt5IjhJymediPcXscYZscb1XH48F37Njx/Pnz1unMzEytVhsUFGSrbQEAVB/TXemBt8ZNffSGpz/EFz18efrHxG+n3PukhCi2ll/Snp1xf1S07nyFy1dd2T5WEUJBQUHZ2dk0TWu1WpVK9eOPP2ZnZx89elQqlV64cCErK4vP548ePTorK+vcuXMymezy5cupqakDBw7s16+ftUIvLy9rZ7dGo9Hb23vevHk5OTl///23i4vLiRMn0tLSEEIEQdT8syKLiaRRd5M+uZM+P6F0OumTO48jYmIUZx/3jilbnj4/IX1+wm3n80nDY62LWV/p8xNq/llVPouiKE9Pz507d9I0/eWXX4aGhlbeyrlz5+RyeVRU1Muz9Hp9SEiIVCpdtGhR1cMGANQeOIIHVeUp8g1RtHMWuJWb9hD56Mzafk5DRRyxtbyZvHWwrFVc8YMKl38j1ovHWVlZ8fHxzZs37969O0LoyJEjvr6+s2bNcnR07NOnz+jRo3fu3IkQMpvNc+bMcXJyMplMFEVpNBoHB4f9+/fv27evXLWnTp2yjhDv4OBQOkJ8zT+iUriIYzfYWTnQSRFuXzqtHOikGurEdeJzVdyy5bL3VYXndbIOSuWgZ4tZX4pw+zdqtMLPqvJZ5caDv3btWumAMeUYDIYvv/yyT58+27Ztq3C4d4lEsmzZsqlTp/70009Xrlx5o8gBALUBRpMDVaXmO6j5Di9PJ5bEFRB6OVd5XX/ZWvKw6I6HyHt/xvZeDv2lXFm55d9IhQOZp6Wl+fn5lS7j7+9/7Ngx67R1ANnw8PAVK1YsXrz4o48+CgkJ+fbbb8PCwspWW+sjxGNIEfE8PZedVvayj//glj4qV9JGoYiwJwuIhH63RE1lHmsbIaxGbTI1Hrxer0cIKZXKsLCwsLCwuLi4PXv2tG3btkYbAwCoMTiCBzWFIayxrNnN/Ogb+f+Wvh4XP2ihCDVQJTZsqHQgczc3t6SkpNLypKQkd3d367R1GNmkpKQuXbpcvXo1Jyenb9++I0aMKPfwm3WE+Mz/uXr16tq1a20YaiW4Dnz/qBYFp7Tp3ybYMLuX80bjwZee0Js5c+bL99Jbh3sPDw8/c+bMy9kdIbRu3brSEeURQm5ubkaj0ZYbAwCoHgYvDwBQOalUun//fo1Go9Fonj59OnLkSA8PD5PJlJubq1Ao1q5dq9PpTp48KZPJzp8/n5WVhf53BX3Lli3e3t537tzRaDRLly51dHSkKIqmaS8vr9OnT9M0nZeX5+jouHLlytzc3IsXLzo5Oe3bt8+G1+Bfy5xtut8q+o7/xZSZj2jKBhW+6rOqZNZff/3F5/Pz8vJKK4mOjkYIPX78uGzNhw4dsrOze/ToUcL/ZGRk0DR98ODBmzdv0jR969YtsVh88OBBnU535swZhUJx/PhxG2wSAKBmIMGD+quSMc6vXLny3nvvSaXSwMDA3bt30zRdNsFbLJZJkyY5ODiIxeL33nvv33//ta711VdfSaXSAwcO0DT98gjxdZngaZo2Z5tyfk21SXanGR0Pnqbpo0ePhoaGWju62bp1q202CQBQMzAePAAAAMBCcA0eAAAAYCFI8AAAAAALQYIHAAAAWAgSPAAAAMBCkOABAAAAFoIEDwAAALAQJHgAAACAhSDBAwAAACwECR4AAABgIUjwAAAAAAtBggcAAABYCBI8AAAAwEKQ4AEAAAAWggQPAAAAsBAkeAAAAICFIMEDAAAALAQJHgAAAGAhSPAAAAAAC0GCBwAAAFgIEjwAAADAQpDgAQAAABaCBA8AAACwECR4AAAAgIUgwQMAAAAsBAkeAAAAYCFI8AAAAAALQYIHAAAAWAgSPAAAAMBCkOABAAAAFoIEDwAAALAQJHgAAACAhSDBAwAAACwECR4AAABgIUjwAAAAAAtBggcAAABYCBI8AAAAwEKQ4AEAAAAWggQPAAAAsBAkeAAAAICFuEwHUFM0TcfGxpIkyXQgANSISCRq3Lgx01HUd/B9B+xQN993jKbp2m6jVsXFxTVv3jwoKIjpQACokdu3bxcXFwsEAqYDqdfg+w7YoW6+72/9ETxJkj4+Pjdu3GA6EABqRCwWUxTFdBT1HXzfATvUzfcdrsEDAAAALAQJHgAAAGAhSPAAAAAAC0GCBwAAAFgIEjwAAADAQpDgAQAAABZ66x+TK4cqvGZJW1rhLI5dX67T6DqOBwAAAGBEXSf4wsLCffv23bt3Lzs7myAIFxeXZs2aDR06VC6X26R+TOhJFd3geS7EBF7PS2nCnPAp1/kzmzQBAAAA1H91eor+8uXLbm5umzZtoigqMDCwadOmOI5v2bLF09Pz2rVrNmkC4zlxXWeS+rMcRefSF214jEuac1Q9bdIEAAAAUP/V6RH8tGnTFi1aNG3atHLlu3btmjJliq1yPM91siG2HZl/jqPoihCiiTxLxhpB46M2qRwAAAB4K9TpEXxiYmK/fv1eLu/fv39CQoLNmsH4fI/vLE+/RjSBELKkLuTYD8ZFjWxWPwAAAFDv1WmC79y58+zZs7Ozs8sWarXaWbNmdezY0YYNcez6YHy3u0mzdifMInXHeW6f27ByAAAAoP6r01P0mzdvHj16tJubm7e3t1qtxjBMp9MlJSWFhYXt3bvXNm1QRsrwCCFkUvd3efK5BBfp7D5wMSXTpmSM747x7G3TCgAAAFC/1WmCd3R0jIqKSk5Ovn//fmZmJk3TTk5OzZo18/DwsFUTZMEl06PBuCS4wKwRY1wHqiRHd8pUcp82xPOcx/M8vrNVQwAAAEB9xsBjcqdPny77mFxWVpYNH5PjKMNwWdt8Za+V+lsNnjpz00qM3WTtRF6tMpZxXSbapAkAAACg/mPbY3IIYTyvJXja8jbpzdp/1rHd930aHHeXZKygXCZiPEcbNQEAAADUd2/TY3KFhYUEQZQrLCgooGm6bMl1c6HA6NnmXEzxwA54Oqfx2RuuzagjlGB4zTcAAAAAeEvUaYKv5DG56dOnV75uUVFRQECA0WgsV04QRElJSelbM2U6fOla/7mzVOun37ndxZLg3mXOjrQ1Y+PfU6ZOftpA6FXjjQAAAADeAm/NY3JSqTQjI0P3kj179nC5z3+mPLwe23dKo11T5XsVve1DNxVPO5YoEM+eEt71Z+XDHTG1slUAAABA/VOnCX7z5s0FBQVubm7+/v5t27Z97733AgICnJ2dU1JStm3bZpMm3O65kSJuaqDqjv3XXpaS/qJD651+duSVpAVhPtG+NmkCAAAAqP/Y9phc7lDtgzsx08eH/DEb1+wfbXJJ9vOhnGNJWYn2/vxCP9TMVg0BAAAA9RkDw8V6enp6enrWUuUeRNbQ4TtQz99CTJyiWRxxITWFPo01oWk1QeMwViwAAIB3BdvGgxdLW2OUJXnT+LvOgXYJJocsMieAp9AVBy2cL1J2ZTo6AN4t9+/fv3btWlBQUGho6JUrV/bu3VtSUjJw4MCIiAimQwOA/eo0we/du/fixYuvmrtx48aaN1Fym5OzbYjl/87+Rb4f9N+8Hhef/PT5+2Oove63mhoee9qPq3kLAIAq2bNnz8iRIz09PbVa7RdffPHTTz+1b9/ezc3t448/Xr169ejRcEYNgNpVpwm+RYsWR48e3b9//yeffGJvXyvdwuvuFekvRSjH/u1ll5wZlKawu+hPNXqP/0fm1Z8FIr39OLfaaBQA8LIFCxasW7du0qRJmZmZ/v7+06dPX7x4MUKod+/eM2bMqDzB0zR9+fLllx+Lffr0aXFxcS0GDQCL1GmCDwwM3L179/nz52fPnh0UFFQbTWz0lhDvq/svHzF02pIfOV9gYkPXvC1P730Qm+Nw8lPHw7XRJACgIqmpqf3790cIubi4NGrUqGvXZ9fIQkJCUlNTK1+3uLh48eLFL3dspdFo0tLSaiNaANinrq/Bc7ncqVOnKhSKWqpfLcK3t7Ynz74//d7xzm6X8+0LQqmUY6e3bPjYvYmoTp8JBOAdFxAQcODAgRkzZiCEzp49K5FIrOXnzp177e97qVR68uTJl8uPHTs2ePBgm4cKACsxcJPd3Llza6/y6SGyEap87aPTOPZ1L/lHON/yYN+4LkNze7hj9j071F67AIByVq5cOWjQoI0bN54/f97FxQUhpNfrR4wYcfbs2cjISKajA4D92HZQy8WRRKe1c1K6T37/TkInhOi/pL5qDztxbq6QizEdHQDvkK5duyYmJq5evVomk5UWhoSEXL58uU+fPgwGBsA7gm0JHiHEc3MyP0mjCXKj/lNk4jf9S22Kf8Jr4Mx0XAC8c+zs7CIiIqRSqfWtUqn89ttvmzdvzmxUALwj2Jjg3Z05/l4Z83dNX2HBxEaXJEnur1J+u5b061cFAAAAWIJ1CZ4madPTf8Ka5v4pwHwyLDQ37rMYiiZPTzh901DIdHAAAABAHWFbT3ak/r+muI/Cs5zIpVi+PYdHWcK6/mLpI+5K5hi2DEBTNzEdIAAAAFAX2HYEz1F2Nyd75R0dJ+t1f5rsT32R2+5bKw/6bsb50uy1ndPnJTAdIAAAAFAX2JbgEcYpvDFD1XdL8c3cSaaiEkIqp/Lbpo/Pv97XnOuo7F0r3ecBAAAA9Q3bTtEjhBqsGJm2+yCxbeHBiBnTTZSvKMZXZ0xd1AM72FTSVsl0dAAAANiA0BywpC6tYAaG89y/4toPqfOIymNhgkcIiQeuxVy7TBnXBS2QtPA5pfl5xOp1qh/fh/voAQAA2AZH1sZCaASNfsf4zx/Dps05pkeDONIQBgMrxbpT9AghhI6SDomen4hm73ExGHAS+31kq8zQgo3Zp5mOCwAAAEtgAk+u83giZwcm8Cp9ETk7uU7jMKEP09EhxNYEP0omdXP+j6z5VUFgUjTW0TEk7T3z8bzCv+KLHzIdGgAAAJbguc4k8y9QhVesb6niWFL/F9ft/5iNqhQ7EzxCaGP2iVXyr+8bnETpXG1ku4FunyJE70nfTCM4UQ8AAMAWOBJeg2/NT+cgRCFEm5/O4Xl8g3HkTIf1DDsT/Cn9rT85PVI4eNqtUN+0/Nbbss8sMwi4qnRjypW8C0xHBwAAgCW4DkMRxiU0vxOag4gq5jp8xHREz7EzwT+llb7GU0OvqxrdcqXUJed/iAw5Xtx2ZzgH4ym4KqajAwAAwBoY32upJWWBJfV7vtcP9Sqr1qNQbKiFObrjlXueq0v+6iLKal1i9Ei9sHat479PWu/2SzU+ZTo6AAAA7IFLQzjy93FZG1zWhulYXsDCx+RoS3bTpKmBDirOTzEOFqMK18/NFQrs7dDy5Y3jPCwf2E8AACAASURBVC37xqNpTIcIAAD12ME4w6AAEdNRvE34vj8zHUIFWHgEj3HVlKWNOdn/HH/mbu3HdK5Sf7Izz+UrEhflPOpgyTAxHSAAANRfFoqeeyGf6SjeNhgXYfXugLneBVRzNJGHC2+KW9Ctb1qcPDgcfoHALUf3aJkIz1e0iHEZuJjpAAEAAIBax8YjeJ4Dz2UqLgkUucp44ybSJPdwUbjInEdbhE49lyIcYzpAAAAAoNax8AgeIcRzm2XJ3IdQZlJEakORobvistHgQtz3uaZz7DaY6eAAAKCesVD09UwzTSOEEEHTNI0upz27molhqI2LgMOug0HDg6InI+55rAmQdmDzc1XsTPDGOCp7wzDhmAOBo3+jzVz7ZlcsYs5a+cb+YxL1Qr6yjwPTAQIAQD2iNVBbYosJCiGEaESTNPrldrF1Fp+DAux4atFbn+ETLUQaQXQSCQ0PihL63lYPd3n8yT36t4BWXRyZDq22sDDB60pMxVf30zhfKOaLqRKcZ7aQokuCDhzVbZf+gryDdpDgAQCgLGcJZ1uEnXXaQtFNt2Tv7G3HbEg2x8XQN3n5X8cXu3340G2R39MBdmtaYtNHPyrcwZN1YudxPAsT/Pdnby1u9DnhK8SLMHuhEWG0WFTQ3vhP9+LTlnClsgN0Rw8AAO8cTy53q16UNuB29rdexAC7KRrd0h6uAXvtkobf9d7ehJU5/q0/6/KyMW1akBwnSuz+4OLP2tiWNI2dLvnw1q4vcESXePbHJRymAwQAAFDXyALC8EGsy7e+87vxP83VLbVTdhIJpe2U3tuCEofEmp4YmA7Q9liY4LfdMfysW8W3JP3dBv/z7mxTlovjdn//llElHGGyZB7T0QEAQL2GY1gjNQtP7nKkHFlHVcmhbNpI8zGUT9EIIUTRuv1ZkpZynrOA6QBtj4X/i2u7KRHqZbwfMor7Rbch58Kv+6jUiS5B19fYzSakdHumwwMAgPqMg6Ejg+yZjqIW4Jh+o//1cXfXzMiw29N0XH4eRtHBnz81PTH4HW6Ov/13Eb6MhZtkxfX/TUbmDdf+dllmUfU9Sgs8LBx9OyELf6MBAAB4rUcWy5S8vKa/NnFwEtL/uf+rWJkx6WF2YrHf4eZsvXTLwiN4Ky7fhe/wn4nk+lt5DkpBiajh9nniIA7Gzv9FAAAAlVPg+CYHdVM+j97U+OnY+0WtrrXzF/MPNmVrdkcsPoJHCPG9liCc27ZxWn6O0pznaPjnBtMRAQAAYIYLh9OUz0MIYVzMa2uQy9c+QYeaByiETMdVi9ic4BEuTJJ8R1jw/OzggvTM37N33y64xnRMAAAAGIZxMfuxbriYtcfuVqxO8AjNedB/w+HufK65WMAV55o15hymIwIAAADqAssTfL6J1mAeQl6xhiba/ivpKun2S8rKOwU3mY4LAAAAqF0sT/COIqy4sIAvLMwqKuY5O9xMP38979+tKWsJ2sJ0aAAAAEAtYuFd9BdTTYVm2jptIlGe0pcnPntBxyWHjjyYP89V7KAnNMezf+/v/DGzcQLAbjRN//bbb0eOHMFxfMKECb169bKWZ2Zmjh8//tixY8yGB6rOnDiRNmdVMAMXCBruRBi/etUWUtR/crQ/2ds14D67Fh5VYvjLYFytZmGvsYxgYYI/88SoN1HW6ewSqtC1DWW3+k6G9Em2BlPaD2849Ib+35O5R7qoeyl4sBsBUFsWL168du3azz77TKfTDRs2bNu2bYMGDUIIlZSUHD9+nOnowJvAeAjjcF2mlC0jNb/TprRqZ3eEkAzHP5FJRuZotjuqPbjckyWG5fqCLQ5sG+SGQXWd4AsLC/ft23fv3r3s7GyCIFxcXJo1azZ06FC5XG6rJhZ2VJROd9ydgxkNPGRuQd/Sex0LUbQLlrXyEze6rr+8M33TVK85tmoUAFDO5s2bf//9986dOyOEBg0a1Ldv3yZNmgQEBDAYEm1MoIrvVTgLl7fDeKwdNrSGeA2+Md5phwvcMaGftYQm9OaECYLAQzWs+UOJGCE0Kkc7Wib5tbB4i4NdQx6vpuGC/6nTBH/58uVevXr5+fm1a9cuMDAQIaTT6bZs2fLll1+ePn06NDTU5i3iGMYRiqhCCQe/jdEo4qqHpYFZzJEMdBn+R8bOJyXx3mJ/mzcKAEAIFRYW+vs/+3517dp14sSJkydPPnPmTFXWLS4unjBhgtlsLleekZFBEES1QyLyTlrSlnOU3V8opUlSd1zQ6ABH2a3aNbMbxnPgukw1J38jCNhnLbGkLePY9cHFQTWv/EOJ+J7ZskxfsMGm2d1EGQuJfHu+k60qfBvVaYKfNm3aokWLpk2bVq58165dU6ZMuXbN9g+pYxjN4QkthUKFIKWDbEDOjeitzS5/23BlmPqD0zl//pq6enHAegxhNm8XANC6deuFCxf+9NNPPB4PIbRgwYJWrVp98cUX48ePf+26IpHoww8/tFjK3wx78+bNmvyh4Dl9SmRt4TmNw+XPR6UgsrciQg/ZvXI8l88MObtI/VmOMowyPCa1h4TNom1S88kSwzmDcZJC9r0uf7sj14Nrm6y0P2P7vcKYxY1+5tXgIsLbDqNpus4aUyqVsbGxnp6e5coLCws9PT11Ol016jx27NjgwYONRmOFc4f9qS3KTlnm9eFBdXAOX0QbDRY+LuAIEEIETZop01e+iwKkTarRLgC2JRaLtVqtSCRiOhCbSUxM7Ny5c35+/po1a8aMGYMQSkhIiIiI0Gq1Op2uen95Kv++VwWpPWzJWC1s8jfCOAghmtAbY9sIAg/Z5GCU3ci8U5aU74TBl0xxH3GU3bnOE2pe58kSw1J9gfXM/B/FJRvyC63X42tYbarh6cqk+Z4iH39JYG+nwTWP0+bq5vtep4/Jde7cefbs2dnZ2WULtVrtrFmzOnbsWBstru+hCldmmwsceXmNxFyJwMxT4HIRRyLiSGRcuZrvIOSw5+8pAPWKr69vYmJiVFTU+++/by3x8/O7d+/eli1b5s+fz1RUHPUAxJETubutb214qpn1OKpwjO9uejyKNqVyncbUvMJCilqhL9jqoLaemf9QIh4vly7RF9S85v2Zv/V3/mhkg0lnco9qzbk1r/AtVaen6Ddv3jx69Gg3Nzdvb2+1Wo1hmE6nS0pKCgsL27t3b220qBbhje35+C2JU6rl626/5vy4RdC5hTAoSICzuf9hAOoJPp9fmt1LSwYMGDBgwACmQkII8T2Xmh59yLHrT1uybXiq+V3A81pivNNBEBCJMBtcLJfh+DnXF66RD5NKhkklNaz2Rv6/+Za8jnbdcIzT2T78cNaecR4zXl6MRshC0nwOmy/R1mmCd3R0jIqKSk5Ovn//fmZmJk3TTk5OzZo18/DweO26RUVFgwcPfvn+Go1GU8lNN5lFZCzhGlLMlSkNCCH1uKGXLJdTM3d84maDk0sAgLcRLmnKUfUi0n+kDA95brMwrprpiN4auChA1DwGEzRgOpBXstDmAxk7RrpPxDEOQqi344dz46bEFz/0lwSWW/JcsvF4gnF1mJKJMOtIXT8mFxMTc/Xq1fbt20dERERFRW3fvt1isQwdOvSjjz6qfEWJRDJ37tyXr71FR0c/ePDgVWs9yScu62UNi3CpgxEhxFHKGhqb6PTVudgPAGANXoO5xtg2GM/BJqea3yn1ObsjhE7lHPES+QbJmlvf8nHBAOfh+9K3fNPwx3L3U5tJZCHr7hY0RtRpgt+9e/eoUaMaN248a9asefPmbdy4ccKECTRNz5gxQ6/XT5w4sZJ1MQzr0KHDy+UGgwHDKj7HQuafa07HLG9syNOmKVw1RMZKhJADQr0xAaJKEC62yUYBAN46GM+B77MG47nY5FQzqCf0Ft2JnEN9nYZe118uLeRhPK0lNzrvfDtVFwZjY0SdJviFCxdu27ZtxIgRUVFRvXv3vnz5crt27RBC7du3nzRpUuUJvhrMSTMwU5oLLlUHlXC5yJy2FiFEE0YMt5DCAKGq+2trAACwFceuL9MhABsrJAuC5a2eGhKeGhLKljeSNiVpkqmoGFSnCT49Pb19+/YIIeu/zZo1s5YHBwenp6fbvDm+1w+muOGn+H8+WPjF4I+Rc8RBhUKR/2dDsyt5l7R0tXl7AAAAmNNA6DXR84tKFoh8ULLpdpF1uoSgDWa6895nY4g3VPE292Jb5+V1muBbtmy5atWq2bNnr1+/HsOwyMjIsWPHIoQiIyODg4Nt3x5N0lyHtsWDC1sb+Q64KW2VWavnOWmKeT3VOAs74QcAAFCJQY1E7d0F1ukLqaZzT43fv/+sa3O5gIW309dpnlu3bt0HH3ywYcMGX1/fq1ev9u/ff/v27RRF3blz5+TJkzZvjiy8TGO4Atf5e4iltNFs0JAlf9IWmQJdcJGttXlzAAAA6jMejjWQPxu5Ti3Cxbznb1mpThN88+bNk5OTU1NTPT09cRy/efPm8ePHzWbz3r17X+7eruZ4bl8SuQevFLdv5nmFYxHqjBwVz0STwbSh4VNLvidXbX2OAgAAAGCfuj5TzeVyvb29rdPOzs7jxo2rvbYwrpLj9jlP/weXR3OFxa5YJNeuD1l4U9j4yIb0ZX2dhgZKa+G6AAAAgHoPQ+gVD2CxR512VVv3BM5jglRFt5JcMYwmaC5leMz3WoQJZd3se8u5bO7fAAAAQFmFFJVFPr+X/v0GgrGtJDkkm++uZ3mCRxhH4b/Uz1VPkty4kmYY145j1wch1Erxnpvw9d3nAQAAqBv6Y7lpXz2mbdT5DEFbCgh92ZI4CzEkW5NgedbzqRGn55n1F40mmzRXP7E9wSO0LamVpsSJLpD6Ce/yvJYghHJXbiV1+bcLbD86LQCAZUwP+5dcUVX0UtPmTKajYw/90ZzU6Y9KYgqTJzywSY7/PXPnsoSvCfp5R+YhAv4cpXxMrvaxxaIlqdG5ml5i0SAJm3s8Y//TYrvuF5uKBjUMXvGgIKituAlCiCouMSen7xVucRG4OwlcmQ4QAFB/cR1H0oTurvuiw9n7i8nCRQE/y7hyS8YaqvA6xndhOjqW0B/NSZkW53eomTBQmjgk9uno+17bgjBu9a+QZ5rSruRdcBN6ntVE9XToV1reSyxCCI3J1Ukw1FciniyX1SRs2pRGFd2ocBYubVUf+vRl/xH86jClROia98j/dnYLawnX1cmSkTPYZaSUK2c2NgAYRFaK6ejqC456AM2RJaV8P6rBpPdUnQ9l7aYtOUTmer7n90yHxhKl2V3cUo6LcN8DzYg8y9Mx92mi+sfxkenbejsOHuU+KSrnYD6RV3ZWqEDAQ7SWoruLajqmKFn4rylhPKE9Quj+LPsyJUwgCy7WsHKbYH+Cb2zPkyuUuhQn3v/O1fBcnSwZ2a2V7SUcKbOxAcAgbqWYjq4eiZZ26WaK8xe493MaFltwI+/JF1yHTzChH9NxsUHBWV3qjDi/P5uLW8rzfs9OnvwQ42LWHJ8641H16owtuKEx53S1j3AUuLRXdTmSta90lvXM/IdSyUKVYlyu7rHFUpPgufYf4uImXHU/gf9vpS+uegAu9OHaD6lJzbbC/q/xlDN5StLHRYcp5anWEr63u/F+PI3oC9rTndXhzIYHAFPS0tJeNUuj0dRlJPVZnkV7pPBOiF1vS/oKkeeiYco2ZOoCTsgrR7CsOxRV9M9108NETMAXt20ubPxW/uDAJThNIaqI1O3PSp+XIGoseTLynsdPjahCgqOoTnoiaXJ/xm8fuY3lYByEUD/nYV8/mvy0JMFL7KclqZG5ml5ikfXMPInQuFzdbw5qX1618yDO91pqih8rUoUjXIQQQpTJnPI93/tHhNWL3FovgqhVj/OIJhKxXkNK7DKsJcJAX2GgL0WTBzJ2tFF2FHHYfJMFAK/i5uZWOn379m2tVmudLi4uHjVqlE4HoyojhNCBjO1h6giZOsx4px3lODI4788T4pYNCu+1VrZnMiyazl66iSZIaYcQymDQrN8t6/m+om8YkyFVi7St0mdv08QPYzEe1vBUK4GvKGn43fvNo1X9Hd0W+Vejwr80xx0FLk1lLa1vhbion9OwfRlbZ/stSSeJIRLJCJnEOqu3WMRDKIkgapDgES5rg/AmhX9NJ3V9hU0DOMqjuLgJR1Ffhq1jf4I3kbSGEB7TX+/uqihbjmOciV5fCHABU4EBUE989913y5YtE4lEXC5XpVIlJibOmTOH6aDqhfjih4+K7g1xHVWCCzDnicZHAxBH7eW5LDLjt2by1nycz1RgxdG3aJPZ+fvp1r5aJB1CMmYukXYM5ShrdNcYIyyZJoyHIRpZcs08NwGRY+IqOJZME22mMMGbXUQuIPKPZR8Y6Dz8QWFsaaGa75Btyrih/7e1sn0w/4X/sp5iUQ2DLzh+ruhvF+XAg1RxR92Orcq+e0QhF2pYpw2xP8GTJDJQXEeySXuCTPsizn1FQOms0l95ALzLfv3116ioKEdHxwULFvzxxx/r1q0zm81MB1Uv3Cq4RtCWb+OmI4Q4iPqMKDmOeyanrkcIPTXEN5QEMRWYKSFZ3Dq4tCc2jlLO9/UwP0kVtWjMVEjVk39Sk/ZVfMMzrSxZ5icj7vGc+dIOKvfFfkmf3E2e/NBry5t9wjqLxkvsF1NwtVy5u8gr/8Vn4m2CyNXlH/nL9cfvqUIHrtM/oiCs6FJjXE0LA23eVDWxM8HPOZ9/+onROl1gokTZloF5Q7jSzSmb02OyLH13NdHtPCzw9+K0afS35lQvxwHMRgsAs/R6fXBwsL29fXx8PEJo3LhxwcHBn3/+OdNxMW+Iy8ghLiPLljRiKpQX4WIRVVxStoQqLsElNT0erXs8Jz5N0OYUo7y72ntnk+JovfOX3oTOYk41Kls4vGltXiLfz32q9HQDobWkffXYdZ4P36v6H5op/qkwyI+jlHPkMwy3QxGicNEC08NEYaBvteu0LXbeRT//ffnfHztYX60o+oc1SWYdn3Aq4s+0bxCVkzzt0T1ne3NiCo7wo9n7KRqeCALvtMDAwMjISBzHLRZLSkpKTk5Obm4u00GByohDmhSei7ZkPvtvKv43hiwo4nu7MxtVNYhbyn33Bz8ddz//hEbWUeX8lTehNcd/ECPvpnb52qeWGiW0lvjeMYTO8jgixvTEUO16MD6PNlsQQggX831/4vv8RJlwjM+zWaA1xs4j+GPxhls5FoSQOMc8df5jsxBbNMNpl7zgp1by/0yXkGuSM/SyRkFZfFwwx28pjCkH3nFLliwZMGBAz549x4wZExISwuFw+vXr9/rVQI0VmWkpvzrdufC93FXD+2bNW8VzdaQMJtpscZw1DuPVo9RSdZI2Ct8DzRKHxHpubCwJlcf3viXvpnZbVFsPBZB6IqH/LXmY2m2Rn2Z7RvwHMf5RLQXe1TmOFwR4azftMyWmCHw9OIouRI62+N9Vzt9MsXnM1cbOBO8u4xIUQgj5Do8twdHib/2M7loeRdrxdTvHebbimNv+kJGfgTl+hTxE3kwHCwDDevbsqdFoeDzezJkzGzdunJeXN2RIvXiKl/Wm/Ddveoi0hVN1btaTdmojDm1mTk7H+XyepxvGeYtPxz7L8UPvcJRc1QBH1+9q6xQ3qSfi+8TIOtu5LfRDCNmPckUIVTvHc2RS+4kf5yzdJPD1QFyu6WGCcnhfXoN61L8hOxN8Wzd+Wzc+QuiBHY9INfJ1pPefv5FTpI+9zY581CsD6XGMI6cRQnkW7VnNiQ9d/sN0yAAwZuvWreVKdu7cOXbsWEaCeaeYSdpcgyuEuEgobFRfLvfWkKSNwvdAcPHNAseJtdXDK1VCPg6/qYiwd/32+YdmP8oVkXT8BzEB51vzHN/4l5aoVRO3tfOMj5IQQag/HcJR1q/eUdmZ4K3Igot+x+LjFiauuXPmXounGIl1Mx/usFtG64vdFo90nNwVIcTHBRd0Zx4X35/uPQ86tgPvpj/++MM6QdN0VlZWbGxs3759IcGDOiYJVUhCFZUsQJNFpPYgQhV0YYsJPF//9DmOYQKcKiIRjVCZCyNkMYlxMYxTza7vcYlY3KpJ9datbaxO8JqDZP7ZtMHtA2LyWxt5GE33vnVViASSqbcXeg3/ASGEkIQjDZQGxxc9+DNr38dunzIcMQBMOHnyZNm3v/766+bNm5kKBoBXokrMT+dwFB0x3gunwcn8sxxFp9cmeFyI+x9rkdDvVsqMRx5rGllzfM7PKbm/pDY80YqrfivvYKgcOxP8vVxLSgHJp2a1thw/VDzuYVfX7/4T31S4whzdmhiTcEgxUipsgGiaJshkIjm++MFc/+WL4r/sqO7hLvRkOnYAGPbJJ59MnDiR6ShYq/9BTUrBs/PyRRZq/Mk869VzDKGFHRURvjUdAYXVcFwUSJU85ijKJHiyiDbnYsIqdXvHkXP9/nye43PWp+RsTG14ohXfk50fOzsT/PVMc0y2GSFpPn/sEPnymYZ1q+arf70rT+2T1tDlanPPf+MojuHu44LT/+wbkNRG+f43j6f2chgYmb71c98FTMcOAJNomt63b59arWY6ENba21dtoZ6dZP70pO6zFtJWzs8u/Ur5b/GNcnUB49GmJzRNYFwpJnx2HZ3I/g3jyJClqqMncORcvyMt4vveetzzpiXLFHAmhOfG2v5Mq5Tg4+PjDxw4MHfu3NqOxlZGB0tGIwlCCNGzkqPbRmiiQ7hkvlnqF/RPttvcdhL7dghZ7FXX+fcsFDfDmEpSZKYpPZ/Q3y643lzemunwAahTMtnz/k1JkjQajatWrWIwHnYT87DSK8BcHJPwcMUbdsj6zsK4Cp7710T2NjL/H2GD+QjjkAUXaXMuwhDXbVbV6+EouP5HWzyY/Tj+a98g9mZ3VHlHN0+ePFm+fHnLli0bNmz4tl6Tw/inTV+NUS7JbuCW1LeIhxk+x3rEWSwIIdpRdrZVelv5+zmmzBWNf00ofthR3SMyfStB12gAQQDeOrfLuHv3rkajmTFjBtNBAVABrtNohOGIMhG5exBNWp7OQTwFr8FcjFvZ3Xkv4yi4aV/4nDNXf8j5t0IFR/ApKSm///77gQMHrl27hhCaOXPmhg0b2rRpU+ex2UYcHd4I22VWnGuTcf6JxXuOUvlpru5XB7v72kM+uYp/FKeHeY5VcFUDnYefyT3mKmzwV+7xcOi8FrwD/u///q+SuatXr66zSN5ZGFbanTyoGozD81piTphoSV1EEzpEkxjO4zp8wnRY9dQLCX7dunX79++Pjo728fEZNGjQihUrOnXqtHLlSqaCs4kmjpwNwi+2aj9Mi3cXemE9xSIKocV5+TJNlNnbiCi0NWUtRVMW2kwhKt2Y8tSQCAkevAuEwmc3FuXl5W3evLlz585NmzZNTk4+ffr0vHnzmI2tHlr/dHlzeev2dl1tWOe8dnJfJTtvhLIVjYGiaeQgfn6ymSPviEtb0qYMS+oijOcg8N6CoDfSV3hh35o+fbq3t/d///vfsLAwhJDJZGIoKlsa3UQ6GnUyiFed//KvHt/cRgj1Eot6iUU61U/fP5451XuOi8C9hCzelLxisOvITckrv/X/kemQAagLS5cutU4MHDjwp59+mjx5svXt9u3bjx49ylxcdYEqJmkLzalyco0tuPHUkJBQ/KiFoo2YI7FVGIFsfDTLtiIflFA0mhbyQiclfM+FxrthuLwDxlXh8vZVr+2BxnIx9Vlei9MRSXril1tF1rcN5Fz2PcLwwjX47777js/nh4eHR0RE7Nq1Kz8/n6mwbMhC0RtiikSu/9mcfF4gKywsLraWR2X/3lze2kXgjhAScyQzfeY3EHo3FDf+SxPFaLwA1LVz584NHDiw9G1ERMS5c+cYjKe2kXricfjNRx2vWdKrdAxD0MT+jG0j3Cc2V7Q+ln2gtsMDZVE0ol/q2QYTeHGdRlKFV/keVRo7rlSxhc43P3uVELSFQqVvNQYWjjr2wg/Y+fPnz58//9atW5GRkd98882nn36KENq+fXv//v2VSiVDEdaUkUC/xhZPail1Ifzl1O0UTXZjiQ9FU7EFN0yUMUYfXXoRjEY0hrB0Uwr0XAveKQ0aNDh+/Lj1+44QOn78uIeHR82r3bt378WLF181d+PGjZWvXlBQQJLl/+YWFRXVMCoyn4jvd0vaXsV3F8T1uFGVZ6D/yj3mLHBrKmvpJfKbGzelg12Ym9AGnw8opKiRudqf1Xau3Gfn2E+VGM4YjKvUqteuy3P7gqMIwwRv9h/R2oXf2uXZQ4knk4xRCYYv28gqX+WtVsEZqhYtWrRo0WLZsmXR0dGRkZGzZ8+eMGFCz54939KzdjI+tjlchRDyEfiaiuIM2ifI0wfH8B8bb0EIpX4613XlHI5cmlgcdzBr95e+C5mOF4C6tnTp0kGDBp04cSIgICAuLu7EiRMHDx6sebUtWrQ4evTo/v37P/nkE3t7+zdat6ioqFGjRkajsVy5xWKxWKr/nAuZT8T3vSV9T+m+7Fm/KI8jblae4wuI/JO5h+f4LUMIybjyDxwHRWZsm+Uzv9ox1H80QjvuFo9qarMrEa8iw/GPpJL/5Gq2O9g34HJOlxiW6Au2ONiZSdpAPDtqNxI0wuh8E2V9K+JifGufsrjojU7Ov5teSPD+/v7R0dHWryKGYe3atWvXrt3q1avPnz+/b98+hiK0AetPNlzJNeQKTZwnZWfxXBwtyemcpgHuIk8Zt36NEwBA3ejdu3dsbOyePXvS09ODg4OXL1/esGHDmlcbGBi4e/fu8+fPz549Oygo6I3WlUqlGRkZL5cfO3Zs8ODB1Yvn5ezuOMUDYVjlOf5g5q72qq7OAlfr2272vS9oz9wtjGkqa1m9MOo/gqKXRRfWQYJHCA2WiBFCo3I1Y6TSXwqLtjjYNeTxFlwuOPL42TDtJoKmMRT54NnbgQGiee3gD3VVvZDgExISXj4nxuFwwsLCrLfdvaU23ioaGyzhqflEoUqneKiRzAAAIABJREFUyCw7i+/lak5OFzYNEODCiZ5fMBUhAMxq1KjRwoW2P33F5XKnTp2qULzZM8q2pduXJW2n5HsKM5c+wXBUmt2tHCc3KLqcl/5NgvfOCsYLSTEk3Sm4uaTR+tISDsYZ5jp6T/qviwJ+4mJwA7wNDJaI75stS/LzN9qrG/J4CKFv28u/bf8si6+7UUQjenqI7U+ke8o5LZ2rM1BvVRC0pYQslnMZvrT9Tuyge+6X9PcXCR1FZJF9Jt9QdhbPw9UU9+yYnqCJPIvWge/ERIwA1DUej7d+/frx48fzeBXcy12TM+FlMdsDZtaPT3M3pWF8rOGJli6zveP7xKTPS3Bb5Fe6gGZbesntQv+oig/H/9H9lU/kTb738cuz4osfBEqDayvud8npEsM5g3GiXPZ9nt56rr5u2m1sz2tsX1tPMRzM3B1bcH1BwDpmfwWWb3vUqFGlT8eWc/jw4dqPp1aIuVgJQUtdZLRGyUF5ZWeJmgTQRrN1Os2YvCN1w3cN3+7n/gGoooSEBGuf8wkJCUzHUiuy16Zod2c2utg6/5TmcUSMf1RL3z1P808t1h/mi5pIEUKmJwaqpNh3rwoRHKpwAi5rW66GT9zGf+I2nonY65qJpM8lm2gaIYRImqZodCLx2Q0QOIbCvAQ8vFZ65DldYlisL7CemXficEb973p8bbRVZ7JM6f/m/e0m9Dirierp0I/BSMoneG9vb4mkLi691CURDzNYaEUDJbqv5GMvPPvHdbaX9342yGADoVeA9M2uFALw9vL09Cw3gRAiSRLHceyt7V+NRuhYiaG3WJS7NkXzW3rDky1NiL4+SNUaofgPYvwOScXNb+bumELkqDhKbv4JjcscH45Sb075ht/gne7bR2+kTiYarQ+kUYimaXQy6dnJTgEHa+PKVwltv0sUUtTy/2V3hNBgiZig6cX6/E32dqXL8DiIot+yvTEyY1uE46AW8tBFCV+1VXVUcF//UEAtKZ/gv/vuOycntp2jlvCwEoJWu9hvyYxr8+pOKjgYZ5jrmLoMDID64PHjx19++eW+ffsuX748cuRIkiSPHDnStm35w9n6L6OIdJZy/igqzl+V3OpgXsOTLYvTjQ/73iLel6v3tKAJOmFgsu+eti7/J078pDlZQDQ82YrvKTQnTeU5f1Y6Otm7yUnCWdf92QVjC0U3fZL9U/daT0syHD/n+kK6+Ugq+Uj6wp/oMcFv2QHn/cLbWaaMKV6zuRivvarLkax9I90nMRXMOzGK0dx28qYOPAcHB78EbztUUG4uka0h9c8KzZTpcfGDOg8QACaNGzeOy+XyeLwFCxbMmjVrxowZn3/+OdNBVUfv3zVGgt7soFae0z9oIynOMt0ffPvqMs9AxHky8p6ssx1VQlmy55D6df4nGzS6GMr3FFLFd8i8/3LdZjIdO6iYgIMJOG/NETxFk5EZ2z52HcfFeAihfs7DYgtuPC1h7BLYCwm+W7dufH5t3VXIoCB7noiLOTg4uKZ62qPCcnOLLlwrPPWsOw49kbc5GQbKBO+WGzdurF27liTJmzdvTpgwYdy4cbdv32Y6qOogaZqikBDDuh5upbhW+KjHjatLPKaO8Pbd1ZQsJB51uOax+jRX2Y0mtOa4IHO8Y8kVlfFuJ9qSbbjuRereyn4+QL3ylyZKwVMFy1tZ3wpxUT+nYXsztrzcGV/deCHB796922w2Z78CI/HZxJknxgcai4ODQ46OVHDKH8HzPVzNyWnWaUe+c7hj/zoPEAAmqdVq6xgzTZs2lUgkGRkZb/uNOESSQawj8p14bleKMIQsWWZTokHgLSo8F4pxlYKgoxjPQRCwh+e5BBc3EgTswbhqXP4+01HXFxwMK+3uDVRdEVFwLPtAc3nog8LY0pc93zHHlHldf5mRkF64Bu/s7FzJojT9tg6d+2+6yU/F+6iRen7mpgEcC0kSHM7zDed7u5u3P++3q5t9byZiBIAxkydPDg8Ppyjqxx9/fPToUf/+/avdmQzjxp3U/dxTeWfU3ZT/OAya6X854vrhcbEBl4ucZ3nZfeScMX8yTRSaHg7HcL7p8RiESIznYHo8FtEmKv9vjnrg6xt4Q8VX8wsv5jl/7mXzmmsPjqFdfexev1ydo42JxnvdUUVHw7iii8B/W92HVJbGkusp9r1dcO02ula23F3klU/kvWqtWvVCgg8NDY2NjQ0LCxs0aFCPHj1EIpHN2yssLNy3b9+9e/eys7MJgnBxcWnWrNnQoUPl8lrsnGhMsFTExTgcvDW3jdlwSZf71MH5+YOwXEc1VWKkCotxmQQhZKZM1/WXbTsoJAD12ezZs9u0aWMymcLDw5OSkubOnTtq1Cimg6oSvZFqtyvHRD7/i38909z+QXbDac4z56VlhDq8f6L1f4feujHJaeRo16fj7tPEEIz7F8IwQUCkOWkGJmrIUYVb0pYhRHNUH9g8vKIr+qRhd7kOPCLX7L7cBp0DvuMwoQ8mCuDa9eY4DC9TTJru9+KqmT/z6iXy/dznzQa/qW0vnKK/evVqfHx8z549d+zY0aRJk8mTJ587d04oFKrVauvzsjV0+fJlNze3TZs2URQVGBjYtGlTHMe3bNni6el57dq1169fXR5yjnU44YZiP0OxIjs3/oXZGKYa0R/xnv3WIWlyb8YWgiZqLx4A6huDwbBp06Y+ffoghCQSCYfzdjyIrBTiDz79f/bOO7yp6n3g586splldabonLWVvRPYWpYACIktAAdnigC9DpowfKkMQCiJDQRyArMoQFNmyymhL915pRpNm3fn7I7W0JV00bSjm8/R5zDn3jDeSe997znmHV+oMufXPBYfcBUgHb/zAu4Gdj7Ul5iUy9/VRp9vfHC3JmPaYLqECdvdGvWdDuJzI/B+nxY+4/+dk9ioI0Lj/OgBz7Cub4UZJ2pgH/jsjwv/oaLhZkvNpkoPOYV8mIDxgA5m3FUAwhIqtf7TqNwjzQqRvOFq2FxK2GgoLC3ft2jVw4EBXV9fo6OiDBw9W17LutG/ffsuWLc/WHzhwoFOnTs835okTJzgcTs1t7hUSf2SYWZZdHPFh8s9dT1/fXX6JIYiS3y4Urt9V9OVew/V71sq4ktsMyzyfPE6cPB88Hs9oNDpk6gMHDsjl8lWrVnl5eWVmZnp6em7evNkhktRKDfd7lo5qEZPfdX/h8iLtqIKiEpouva69F3j5gx+TL42/lzziHmOmWZZlGYvxXgfjvQ5U8VEia635QW9zfLTd5Sy9ro3z+0sbq7QWqRIysdet7E+eOJ8rDceSOpfIWGb9zJAa4+0w2vDQsSI9B01zv1frJufh4fH++++fPXs2NjY2OTl5wgQ7ZFBNTU0dPtxGWJ/o6OhGjaUVX0xeyjQDABApalG7Gs1l4ehZmi5Ysc2SkunStyu/Y5T219813/8GAGjt2gECzcYxw4mTBrJjx47Dhw8vW7YMAODn5/fzzz9v3rzZ0ULVFRPFvh+rmXhKPeeclqBZrYV5co1S5zB9UoqmGMmtmxXvzs32tUDBP7aGODAAAEA47rcCYgkicwlV+C1jycb8P7evSMY7utSxDwL2RokGl+XQQ1zRkN/alV4vyV3+cgYNbEow36VU8WHGlAwAIHM2INJhMN9GHgEnoAY/+EePHq1YsSIqKmrUqFG9evX6448/Gj5Z7969Fy1aVMUgX6VSLVy4sGfPng0fvzp4KGRNPshx51JKEUMrrfWGq3dhHsf9wyn8jq0AAF4r5pX+eYMq1rCAPZz3bePJ48TJC0VCQkJkZGR5MSIiQqVSOVCeesFFoaltBNPbCl4P4QIAuAg0viV/tae4Cx9/HEp07OXe+k63oO9bfW0ypJJl526IdBjLDS2A3VluIOL2FsyPsK9IlJaCYIB5VDJEh3kw5oGTeRb7zvUfBMLcUe+5ZNYyxpREq37BfP/naIleXKoq+Pv37y9dujQ8PHzw4MEajeabb77Jzc3dvn173752MDqLiYnR6XQKhSI0NLRr167dunULDw/38vLKysrau7cRDSD5GGQkWQAAz0vAFIkRVm2tJ9KzeW0jAACAZYt3HgYwxAkNIDJyIADdLblRTBQ1nkhOnLw4dOnSZevWreXZZQ4cONChQwfHilR3IAC6eOOv+HCi3DEAAAeBOsnxIDmagpBduZzzJrPRG4dwOABDpyhVVh1vYtmVwoWuZDZkycZ8PrW7SK79pL5fhSe/fs94t8wplyWYtAkPIRz23xlZc18ndQHzms6YUixPxmHeH0KoHezDXlYqWdEHBwfn5OT0799/0aJFXbt2hWEYAJCcXGaSFh4e3sDJPDw8Tp8+nZmZ+fjx4/z8fJZlPT0927Rp4+fnV2tfkiS//vprgiCq1CckJDAMU3NfPgqZKJa1ZPlH6jgptAeWwxjuAwBQNyVjzGJMvjAvFPf3JtJzaI0OEbsCAD4KWinF3J73izpx0pzYvn37gAED9u7dq9FoevTokZycfO7cOUcLVScSVOTJlLKcKGlaCgBgoNhND0v/8jJ2JbhbwyRflejeLVJ95yF7nc9DAZiiVG13k27S6nz4kUKvd2FuCNQ4CT3Fwz0AACkj40KOtuFFuaRNeAghcOD+KAirw9kfbSCylgPWxmMN4igwRbMMMmhnIBwPWEdmrUK9pjlalBeaSgo+LS0NAHDmzJkzZ84825S1hx/8lStX8vLyRo8ezTDMjh07tm/fzufzx48fP3JkLR6oDMOo1epnU1iWlpbWKlhHOS7jwZbEwX3aKYuCyAicIdIWAAAwOUmpcswPNvA7ZeBBfvozfzJmCx7gAwDw5Hg34Fs6cdJssFgsubm5iYmJsbGx6enpcrl8yJAhjs3gXncwGBLhZSrT+p5P0MyfXsbOJk53lgMAWCByJVjdvGLNfg/ZED6PZNl3iop7cbmrpGJYukxDqvSmND9eUGPIJh7uAViQ+lYcN8IFcUXrqt0BADCH0V2BBa1h11cqVlNFB2FAN4aozRFEPAARD3C0FC86lRQ8RTWub9jWrVs/+uijVatWAQCWLFmyb9++t99+WywWz5gxo7i4+P33a0rLyOFwVq9e/Wz9yZMnT506VfO8PBSKdMMo8DGTtP7PDf17fR7r1uqS9ZLx5ijTXYPm0EamRA8gyGvth9C/mQp3ZGyc4jeHC9s/GIATJy8OOI5PmjTp1q1b0dGO9ySuLxgMvvqnlAEs+Df6CcWAkqvgvMFyAVg8BEhff86nYtc0kgIAmFn2qMHUDsfiCCKVpEIx9Lvsr/PM2Z+32I7b20fOijjaA0BAd17l+1WLump3AACEYgEbiPQP8aCvy533WHM6mbUGCz/UGHI6eVmppOAb2/l1/fr1R44cGTFiBABgz549f/zxR+vWrQEAPXv2nD59es0KviEYKfbgQ8P0dm/Cadu6++rc6DIrP0Z/C8KeSKfdoJQGlqIZowmrkNrIwpgzjWnOBLJOXm4gCIqJiVm8ePHixYv9/PzKHwLNwhXeX4QeHi4laQAA2H7HcCXXLMaRz7u6SngwgEFHL5wx3LMkjJQDYATAyLJfAsCDIJJlzTlssmtvFSQMFoTHFh0b7jW2uilo3WXWnGbjAsRBZSNr9Z4XD/ewbtfXC0TUG+aFkYUxmHyOtYbI/B/qPRfCHJPqkyo6yFI27C4hiIN6vQ+gZvBT+W9SNV0sRVGHDh06e/Zseno6ACAwMHDgwIHjx4+3y92OIEhERAQAgGVZkiQDAgKs9S1atCgqakSLNr2FOfDIOL2dCytf6TtuEgSRgDEDGCcyFuH+qyDMBfN2ebbXnMDFCFT1/48TJy8fY8aMMRqNVQxd7XIk19ikaqlbeWV2OUVGGgBAMsyjYsIFhyU8uLMXDvitIVyBes34H/uKKwwvlohgALishXrQez06eKZni2Cu32dJC3pI+8lwd5tTUAV7WFMiLKy0W86S+XTJ34h4ANQIS3+WKjHHdQGMidacp3K/AABiWQowRkZ3nSn5kxNxtCGDp5GUgWVb4Vh5TQJBohAUitX0rKOLf2YZA+JaydeJMcQxlgzU672GyOOkUan0j6rT6Xr06FFYWDh69OgOHTpAEJSenv7pp59++eWXf//9d8OjyY4ZM2bq1KkxMTEtW7YcN27c//3f/61evZqm6XXr1jWqm5yHAPl6oBgAIFX0+mGPcUBfxGzMRo3XAYwhshHV9bLm+3Pi5KUnMTHR0SI8J2aKVVvYG7kWmgUFRhoAYKLB2QwCRwAHAfHF5NQ2Lt4B64jUOSWKvn0EEgTlAQDI3C+Kcb/HeLsIl3ABBPWTDf0l/8B0/4U2p8D9VpgfDcR8F0PY04W4JfldTDEfahw7XAgVwS7tYH4UoEpYuhTzX2WJH4YqPqaVB2FxnwYOXsoyHyjVX7lJO3FwAEAcQcxSqje71RJ5HvNfa0l8E/WeD6H/GmewtPlhT9x/DXCugl5gKv3bLFiwQCQS3bx5s2IU+o0bNw4aNGjhwoW7d+9u4GQbNmxYsGBB165dRSKRm5tbXFzc7t27SZIMDw8/fvx4AwevAQiAdp44AACG4QeHBkQPPp+X+7vcsIMTfghUCGhjfpwMWJYb9TRk9Ob01SO8xvnzghtPNidOHI6np2M2fhtOjp7O1VMwBCAASNp6Es9CgEEh2I2HtJBiLhiEcF+FBa1XmQ+NoSbQALyG6S15OxZKd051FQogCAAwxGPk0iezkwyPwwQ2zuMgbhDiPpbMXocHfWWtYfQ3mdLbnOAdjfe9cP/PzY8GcKJ+tzweBrJxCPeGMBljyeJ4NvQcszWOb3GTzitWb5JJuDA0S6leKxV35NSSOw4WtEIkQ6jcTZh/mSEUVbgXQt0QydAGyuOkUamk4C9cuLB///4qOWa4XO6aNWsmTpzY8MkQBNm6dev69euvX79eWFio1WqlUmlYWFj79u0bPnjNbLmtn91BiEDA3dJCqY33gNYgHmNgQbuKbajCYvPj5IoKPkwQmW/OdSp4J05eTMIk6NCgsufVqis6E00DFhoZxvd1RT0FcAevMr2F+692fdhvX+TYyVpdcMmSv/nREVzoPbGi7CqMj5JPOJT77fLQTTBkI/YX5vOpOa4zY5gIC9oBwBAZi3C/1aAxzW8hbiDq8Q6VtxXzXUykf8Rt9SeR8p69AuZ34OBb3KSzlCoGgI0ySW8ety69MN8l5gfdEY+JMC+UpbRk7iZOxLGGC+OkUamk4LOyssLCbKQ8Cg8Pz8jIsNeUfD6/X79+9hqtjux7aJzcSiDiwKwY5KaHYmLYx3dplTZ4iH/Jbxcq1gz1GNWEMjpx4qR+oAiks5T5i1v/AwFgIBidhYEqGK1DHH/Uc5J3/tovJRMFOX8dk654Dy44U1TxMJtVEgVXNRdflfZ/dhYIEWI+nxIZi7ktY6miAwDmIDIbIbftC6r42BzXCfWYyG0Zy5RchjBPRDLIXoMjEGAABADLhepq2w9h7qj3PDJzKafFETLnc0Q2HOY7g/aUUWigPQUvoqVh1eMTm8Z0zcKetmb4KETo79FmfUDXPC5lySXl3sZ4AOIBABDMgYXdAAC4jxetLmEMJljw9N28lNJxET7qPGdy4uTFo9hIxynJ+GKSZkEpwQIAGIg9k27hogQXgRJU5LhIvpcAAQBg3h+WxnVy1VyP81igRrrfY1Pa0PkVh+ojG1xDbCvUYyJVuJ8q+oHM2VDlaK8RYGh1LGBJRDyESJmBes8nc9Zjik9o1XEI84Bduzdw9PsEMUup3igTC2HYulfflVunjQHM631T4X4y/2tadZzb5kYDxXhp0JiZkUdVVyfU21eiCaiqt/bv3/9sjIvS0tKmkqex4GMQJ3suAYwdBsAC2AxQI5W3BQDAkoUskc9rnwhgDoBhPEBBZOdxWzzdkz9d9KsYkw5yb/QXdidOmpgFCxbUcPWrr75qMkmemys5xO0CosTCsCyg/jX715gZGALufFiAQvC/K9RMlrNP+OE000+vB8xsSdJTlPzOoh6v8+u+zQ7j/mvM8W+gHhOqHO01hIuZlvZemJhT6VyApY1E6kyIHwHhcoZSEVlLIcydNtxmivZBuCc3spawHzWTQJCzleoNMkkPLgcA8KWb5MNizXZ3aRu8lmN4AKzx49ZaEsfgARsgtBa7vP8OFAPoF9XlpJKCj4qKOnjwoM12UVHNO10PH4NUsiVyzYprd6f6PCzgfXxeHnEMAGBJfBP1mFR+suU2ewIirfR+00n8SoYx1QESO3HSyHC5ZYevGo0mJiamd+/erVq1yszMPHv27NKlVQ+wXkyCxUhrtzJvlys5hNpMc2CoqxznolCgGJ3e7qn76xpNyVDvcQrBNABAEIbGuEs/KFZ3wswsbZBzfeoyF+z6Cu6/BnF7y47y74krnYcJu3hXUq4Q4oIqPmL01zmh+xj9DUvSZG7UBQjCTHGdcb8VDZwRhaAtbtIO/1rVdeZwdrhL8Tpv1CPigXjITlTmPLtsHlRS8A8fPnSUHI3N2p4iH9kQxvhdq073tedbihAtAIDW/M5aslHPKeXNUM+qe3RB/LAgvg27BCdOmjvr1q2zfhg5cuS2bdtmzZplLe7bt+/EiROOk6seDA3mDQ0uW4W/d0ZzNY925cDLe7g+eyC6271SSpIwDLsg99ySvibXnL22xTYMqsP6FQBUPrO+EtKlNJlv4Yby69ULk88wFR2ktX8g4n689g8BhJHZqxFRT9ilY30FqMKz/u6t67J2rwDqNqaBMjhpMv4rR8tR7hiZvRbAwjDvoyfH/Noepom0uZTqBCLsTGQuwf3XgOrv8BJSY2JMXs7o9E5eUi5evLh9+/by4tChQ+fPn+9AeZ4PLgpwxPZKlFaXFO+PY9QWyRh/q5tM8d7c3LzMgjfzbjyYESs5+YZXoyxJaT2VMvy+6XFp8E9thL0k9egJ4bj/ajLzf4joCoAw1pJJFe7ntr7SGEI6eQ4eKckRR4uZChvzwTvLTDpccOjaBE9B3SMTNyb/FQV/PMnU3fLEFVEReJsOrrmAzWNJNczxATCP0d8EFWLaqHYdFo8ZhoiF5TWpxqS/VGcXBC13hOBOnDQ6vr6+p06deu+9spBkp06dqkuCxxcNVw4s4cJDgniulY+0Tffi85ac0d9tAyGQ8f6frv2uAV6/wm3ZGrRwjHHc8UCvs0VbXpH2rC6S3XNj1e68li6KNSFp7zwM/K6lsLcUAPCgiNQTZZb/JRbmkZKk/lUULd0wMbdMeEQymCrcQxV+i3rNIDKXofIPINzLvhI6eW6i3LHk6XLrZ6WRef0X5Y2JL2Iwif+Kgr+aY4nJ+/DXFm/iAUfcC0fqzDxcf40bedL8ZBwn+JuKNrG0VmdJTOV3bVteEyVsW0rrHCG1EydNwbp160aNGnXmzJnw8PAnT56cOXPm119/dbRQ9eZtt/2z8W/FOAweAlOFerJAx6JzQk90RiRY8jAuVZRPFCcrfzY+hB8PmjPwnYeFYa8NOlbwwzQ/e25alGt3v60tAASCDrVKG1em4/c9NBSbyhR8Xil9MsX8V3bZ82daG0FP36cG7Zj/55b41yDMizE84ITE2FE8J/8R/isKfnyU4FjJNUgQieR/mBuvULySwCD+lsylABEyhjhY2KU8XwInNMCSlF5RweMwp6fUmZfQyUvLsGHD4uLifvjhh9zc3NatW2/YsMFmPIwXnEi/bpYnmznhpyDk6YF3SeyfqMtS+ZI3BJ1FAAC3KYr8zy0ur6lPcE5+HLza66R3RLeb7be13THxy2RDQqggoobxjRT7e6p5ZHjthvdVtDsAwKWbuFzHf9nvqf35uBOqeR2rGtmVA/PCENkoS8o0TuheANcpHM3Lx4UMMwCgf8B/9Os3EBthm6pA03SzSDtRMwohMsD1JKD1rDkjAcrWA2EpLWD1N2FERBbE/JtqEgAAOKGBlqSMKt2NtOGq+mKTSuzESROSlpb28OFDpVI5adKku3fvOlqc5wEWdkLEA2jVMYgTYP0rve5K5R803X1V0CUIAKD6IV91IE/8P27+ZYng+5nr/xbO/0e/9j3/1BMany+mzzhbOPe8psBQbcL1PD29636dHIbVPxYQOWafDaEVveVduollb3vlLq+fSw7mswhTfIJI36hXr5eJ+GLqcTHpaClqwkAyGvMLqiJtK/ikpKTo6GiTyXThwgU/Pz+5XH7jRvMOa/CgiPiq4FPWkof6rojy5lzJ6E1RalQ+m6VLcP/VFfMl4CF+ZFFxle4sYA/nfftd9rYH+ttNK7gTJ43OwYMHp02b1qFDh9u3b6MoOn/+/C1btjhaqPrDGFGvqVTBHkZ/lbVkrCmMy8j9DvfNI/MUprhHWRS1kSqlLYwm93qJl759scnfPcnfPYlDMlzK7Ck3i6W3wuSpUm7ta55acZuiEPaSpIy4z1R4XVAdyFP/XBiwu1L0NwPJWuiadAOEijGfTxoukpPGQ4DBrpwXwqTuWWxv0U+bNs3DwwPDsFWrVi1cuJAgiI8++ujKlWZmwxlfTH5wTmP9XEKwOnP4GVUfc/HDLph7FJohYPMhVAyhMkQ6rGIvmMf12b6yylACxCXa8+1Ded/eKbn+ddShJvoCTpw0CTt27Dh8+HCvXr127Njh5+f3888/T5w4cd68eY6Wq36QuZvI/B0A5psTxkCY+1SGdgkpoM0i8Zi92ee00zmL3NtRSIvHzIG2rn0MWcsS3GGAFWDLvrFoxyst01VvAJc2rmx1dvj1AkIg/52RmTPiU0beDznaFhYgqgN5eavTQk+144YLKrYsKKULq98zcNJcsMevplGwreBv376dnJxM0/SdO3diY2NNJtOaNWuaWLKGE+GG/fC6zGqgeijesPu+oUvHlZK0HhfPDez35uFc2o+Tt8VmcmXIVmrkU0W/thK2Syp9/GPu3rGKKc82cOKkmZKQkBAZ+XRlGRERoVKp7DKyXq8/fPjwo0ePCgsLKYqSy+Vt2rQZM2ZMw3NPPwsiiyaKNLY6AAAgAElEQVQLvsX9PiOyP0e9pppKn+SVPrzl2nNMwU9pp0ZKupE+GiWcGyjoJkYfcboa+iOuaNKUOwe7CFeufJVTzRNaZ2Gu5JTlmy8w0KUEeybVbC0KcehV32ojvJbp+Pfj095+IBrmXvhlZtjv7TnBVb3hgyWon+t/xRCq7pxPN98rKtuWv5NPsBCw0Hprsb0n9uKcx9OqY2TeVh4DdvqR5oeV0otj8tmIm+PDAdn+bclksszMzDt37rRq1UogEKSmpgoEApstX2QgABTCMtM5uQsCAPCRelKW+RGdDl4++Hbb8ScR6RiYbyNB5LPEKo8bKJ0QdR3pPeGnvO+Geb7pgtr/CeXEiUPo0qXL1q1bly8vcwQ9cOBAhw4dGj7s1atXhwwZEhIS0r1794iICACAWq3es2fPJ598cvbs2c6dOzd8iorQ6liaMRmy1nBwTyprhRfLeEFwhOUB4LHd1kx7xYJAfAA2QbpzE2TvzEwefg/mwm5TfU7w8ar7dRXI1tOxaWUm+aUEW0oy5UUOAnVXcJDqd/QhBPKPicx8P75gU0ZYrA3t7qQ6OCgkwsteuTgIBCC2vIjBL8RiOb6YnHVOo8C8tyoS1xRsSzOI3VRlPwUPTLvUazYkaOVYCa3YVvCzZs0aPHgwwzCbNm1KTEyMjo5+6y17BmhsegQYbD3pQr3eE7lvk/G0QrgU811kszFLkHkffq7YthxAEACAYqjj+T8M9RyZYUyVcxQiTPJN5qaPg1c1ofhOnDQi27dvHzBgwN69ezUaTY8ePZKTk8+dO9fwYefOnbtmzZq5c+dWqT948ODs2bNv3bpVQ1+CILZt20ZRVJX6hIQEiqI2bNhgLQYGBo4ePRoAYDKZYn6m3+oisCDo0fT+k2RKAQ/E8qPDDH8QEH71+P86n9N5DojlRGVi8jBMnOSxKvTisT+yzH93ZMK/2vQkqMI427dvp2m6fPxt/9av+eb7h9xXfe7+VmXeKu2r1EOhAAlAEu7kjQ4uq/+/HXsJpkxL5Un6FRkF2TrabDYfPHiQS+kRwNRr/Je+vmPQUBawE1sg1vobANx4AeT051Ov5h9lGCYO6hiNfjvbtGvbcAUAwGw2K6+PvJ8d9felYzWPA5oE2wp+0aJFXbp0sVgsgwcPTktLW7JkyeTJk5tGIDvyuJiM/tVGsKER7NJVb82hGBiqJqMzhGMsw5D5RZi3JwBgV/aXOMwZ4fWOmTHhEP5BwCdrkz9NMSSGCFo0yfdw4qRxCQkJSUxMjI2NTU9Pl8vlQ4YMscuwqampw4fbyNIUHR1d6wE/y7KlpaUmk6lKvTXxlUZTZlsjl8vL26u1lisPWrWPSh6kOKUlhDwybZBuN2ABRXBDBs60jGAFrBEwbP5xqZDNFk7vmpiQbtFYvMENLQDmCuPo9XqLxfLs+AaDgcZo69TyZ9pzUSJUnuGB51LFAADAEhY/139IkgQAFOtkZrNHefvfsW6lcNlq3kIJPrtSKMQ5gIVKOL1bGf5WGFNtjv+sPM56B9ZDgIV0+ZTFcqkk7IP+RyL1j3xd/QAARjpZInm0/cJbJsL276TKOI0NVJ0L3JkzZ2JiYmia3rJly61bt8aOHds0AtWXkydPvvXWW2azueZmShMz6Efl3Xc9AQAPrz8gN+zjv3swbOA1mBdqu/2W/byoMJd+3ZRE4aKEmR8EfNxB1K386vqU/2nI4g0RztATTuwGn89XqVQ8Xt3zm9mNwMDA2bNnL1y4sLyGx+M9q1zrS3R0NI/H27x5s6fn0yBfKpVq8eLFRUVFx48ff44xa7vfGfPD/irK9BfaaqDpDM6SuRl9yY/Ham/2LVJ9GEIkhQhaZk8aBeNU2MWBEFq/zd4UDTXrnObsGNsB76jCfUT6Agjm0gCuuG0PMUYTtwW/zTWbmddfP5rO8dg1MjBknGJavYT577D1dikL2HkdhbU3dRCanH0pKQc69f4DAMiSMBKRvo56vltrr6a5322fIL0kbjMVoBiW/NcdRRHu0+vk7mzgxRLZ1bXntggyJ6YCAL7J2Agg9nDetx8lTPsoYdoHj96e+3hiviVXSRTd0v7dRNI7cdKYZGVlHThwYOLEibW+KNeLmJgYnU6nUChCQ0O7du3arVu38PBwLy+vrKysvXv32nGiCsB4wDqUKu5rOo8zFoShJckit7cy2tz6YYDpoheVZeHOcGl5mWWFuUuS6zu0EIdCJNUaxKGekyFMhoj67QtPnOh/n+qYze+cy215ggXwcvFnZlvrKIqllETBMI83b2mv5Jqz6ivPf4S2nlgbj/qlw3lOaANLaW380bUEP6Bl41FA0qpjtPo3lshHPSY0hbR1w/bv9eVwm6mIzsIaqbJ7TCKRrOB+rJGn60uSxaK+NttzW7ewpGQCAIZ4jkotTSyvL7Lka2lNGD8SABDMd27RO3kZgGH42rVr48eP79Wr17Fjx7y97ZNXycPD4/Tp05mZmY8fP87Pz2dZ1tPTs02bNo0U6J4q/oXWnL5rIbwA6oYAGvAgxijs8yvLdGdNyWwRbCluT+z+0aXncO2fhMsr4vqO7ylAtg+sKWEMFrSTSBrzgW8+AbwmK1V73WV04qRkTqdPfPqLYRtLqd+VxzlwcIRLSwU+6nDuno+cZj226Fm9q4J9MT14hSWLILjSdCxLApbhd8qsmK+kCjIeWuS/hsiaAwCCB2+tGFXF4dgWpfHcZhwFCj8NKgVBkD/uU1KoVHGeiKt51GByd7dZ4wEAnUTdO4m6N5GUTpw4CIFAcPTo0WXLlnXu3PnoURu+o8+Nv7+/v7+/HQesDgjhGzUXfhWtWCDpieauRBHXHG5rjj5Nhl6GhQoI53m33kS2kaSOjFOsDxW/4WF3AVBJf5IfRaRM/LD1DQB0u1O+nkEW+LS95IPaeMzqKO055Qkf/gYuCnWSDb2sOn9f909b1052l8pJHcG859Cq3ziRlRIlE6kzIdy7Bu0OAIAAiAzsZUnuCFgKcX21kcWsH7YVfCO5zTgQEQcWV4hRZXAxqQt4Zvf6hY20QrGUiTYKnW5yTl4uIAhas2ZNVFTU4MGDy62BmhGIZGipoONCF0qumE5hXIgbGMJvZbgTARg+paRhyTKglaWOvKdYHyodXZaWjcxew5TesTUYhAdvg3BFfWXghH5vvt+WKv7Jnze4j2b9Wdd3+uMymy1/ytvfWzrw9Qgvq9/X24ppB7J3RAnbojXqEieNB+oxmSr8jlafRKSvW2sYw31ae4nb9p+6dOcE72hM6Z4T2wq+kdxmHIuFYo0ky8cgAMDFHjf1iMdrdH4N7VmaYXR6RCKqUp9kiD9R8OOikM8bUVYnTpqQirnjxo4dGxIS8u233zpQnudGEbTeEv866/km6jEJAKD6/hzXD4EEfNQtKOUdbwi65/NFuGREhbU7KlKV5Hq02FjRAI7RXaOKf4JQ24q5ZmCuLyobZUhbyOWf5sBIlmLlFKVqr7usyhZ9hin1cen9z8O3l3t1R7q0lnN9LhSfHuwe/RzzNjZU8RGWsPG0hGAX1GtKXXKa1BEzYzqQs3OSz0xO0yfXgRAsYB2ROocnHgBgLgAskbEI81sBIbXY9xlIdt4FzZ4h0pqbOQTbCv5ZtxmRqKqee/HJLKG+uKW3HrxbaGCm2VnnNC44BADwRCZJ/7olDFfW0J3IyFHvPiJf/3GV+jBBpDe3+WXLduKkOt54o1Iuk44dO3bs2NFRwjQEmBeOSIeTORvwgI3KnVmIYGXJH7P4rS4KB24MOqSgdbRoUCW1jXlNL0naK2UorrR/WRVLk5lLcf/Vz5297ZTXxr7qE31KT+AhMR+KxASrm6ZUHfRw41V4ifgp7zsuzNuXs71iRwNderLwp17SgTzkhQuJQxXuA4BGhK9UrGSMDxnTE9RzEoDspuBPFf58r+SmG+4x0usde41ZdxDXV2FBKzL/G0yxgFIeAYwFdR9day8jyT5S2kiHQ7M08m+SUkdhW8GXv7+7uroaDIZffvkFADB16tSmk8seyHjI4KAyJwQ9wf6Zae4o5wSKEABAJmwufihyRUoAS1VnE4H7K8jcQsZgggWVPBlQCJ3oM6OxhXfipLHBMGz79u3vv/8+htnYFrb6cDc7MN8l5rgu6itDS/+5InqbZRNHqX4epj7GBO4TQdgzjmoQviX/k6/ES4Ckl/WclSraB6HS8k3a54CDcCi/dVztcdTtLQDAIrHrj6UGkmUrKvhor7dLSO2zfREIdcDKtQ7gAessiWPRFr9WWM4y5of9cb9VNZ9P1wslUXhZfeHT4DVfpq/qKe3vhnvW3sfe4P6rzQ/7o7LXyexVnNC9z705cV558k7JjU9D1kDAkaH3bOs2q0YHALAsW1BQEBcX98YbbzQ7Be+CQ0ODy+6WYhOz4grUyh3t6cv5SKUJiXIV/YVqaaErUZCPyGcVq/d6yCSVt9EgFMFD/C2JqbwOUc8Ofl93q62rnWNtOnHSlKSkpMhkMusHR8tiNyBUTGRNw9ynekzVEfleLh3Gu/YxABqUXgKoGw5gDJXPhBAXAADMj4T5UZf1fQD+K1W4F/WazlJaMmejzfwUAACGBWlaqgZPOSuv8XmA/y6QP/WEHutSNc53mKBOEbJfHGBBW0Tcl8r7CvMtM8yiig4AGEdk9jxQ+DFv72D36AB+yAC3YT/l7f8gwAFp9CBOAOoxwfx4CCLqCwu7WitZwKYantQ9spmOKjlV9LML4npLe6WL2JFmd7Z/rLGxsRWLu3fvjolp9kFdIMAaSRYAMFskXBIpf43Jzc2jeaa0d034eBeBxJYfC7dliDk+xaaC/ylvvwiVBPJtx8lx4uTFZ/PmzTVc/eqrr5pMEjuiPlKQv6pLwK5vGAN/v/GLD169TxWsAwzGMhBrpgHCkpnLaIZFILMB8r8sOC3Hc/8mpnbOnHWjuHWAZZ+vsCeECFhLJsTxA5XXXhkl1Ozzmt9H2w5089KD+a0wx3VH3d+BuMEsXUrmbOCEHwL2W54mlD7IMWXM9P8IADDYI3pJ4pzE0kctXGw8exsbVLGQLr2F+a0or7mh+WtP1paloRvLH/gZJdQXt8ry31gooCOYOefLoitiMNQi+Mgrkr4dRN2+yfy/tq6dHLgrU6f9h/Hjx9+7d6+xRWlsBBhszf4UgKIf3bGEa92Vpd77lY/GuwgmCG2n0hF072CNVvssk31nibCanGKdOHnB4f6LyWTasmVLXFwcwzDp6ek7d+50c3NztHTPCSeIT6nZrIXrKBeBxYvBAz6BUHdTcru0dw4ytDs38jTVJns/dYJloZPEypCSuUdCR7Q0LmIYqpt+lC/5K1t60/z4NdO9dqw5rcrIDAuqCfv5nwDCPFD5B0TWSgAAlbMBEQ+CBe3sNTjDModzvx3jPcXqRIBB+FvyiYfz9jAsY68p6g6EuHAjT0N4WTRZC2P+Nf/73rJBh/L2sKDsF+DOR4YE8ax/ff25HAQqL3b0KYkvvfm65+hgQXioICK26FjTf4VyanfJZ1n28OHD1q285ouYA8/tKBRgEABAuTsHbC6CWND6dlvX4NQ+odUmysO8PTBv2/6yYYJIm/VOnDQX1q1bZ/0wcuTIbdu2zZo1y1rct2/fiRMnqu/34lJKsOnJRgaBLYXSxMwZwxUr4gvacaAN8rCp7nN3UUWREL+lKwJPE86EkPZTot5gSr1z7o3z6PI3B2bM9ztgimWofCaZs54xJUPcYEd/mxcOzHu2Ka47VbiXUh7mtrlmx5EvqWKFqKi9qEt5TSfxK5dUsZfV53vLBtlxoufgTNHRcJeW432mr0n+5Ibmr26S3gAAAfb0/FdpZDbfflpcnxIz0v1tq6XkaO/JnyUt6CHt54bbP+5CXbCt4IXCp44BNE2bzeYvv/yyqURqFFAYBEuQPzLNbf/SZH6STL7pVvJnsYVStLh5/QRTcK01d5HY1Wa0qRq4pb0iwWShgohGktmJk6bh4sWL27c/tegeOnTo/PnzHSjPc/NXtvl8qnkUw3h9vTpElAhQhkprh5gQlg+7vnIR0DzT7UAsYBNjSuO2fwAAgF063irtNqxgK+S3lNv6MoR5sUQeVbCH2+qSdUAWAJ2lbBGpJxiGBSX/FjEY4j9rtfdycV196UHpvel+H5aVIRz3+8ySNBHzXwVhdtNYLGBPFB7BYc6qpIUV6/W07reCHx2r4NVk8SXV75+FfgEBaJxi2o6Mje1FXWvYcr+p/dvMmHpI+lmLEkzWz23oL/kHZvh/1FQiV8K2gr9//37FokQikUpfRCe/epGkpuCfC6XbMs1vus1Y7uba6a6nBz+GzPccmcAeDhINsh26ktEbLGlZvDY2tDjDMueUJ5wK3klzx9fX99SpU++99561eOrUqUaKJtvYvBbMe21ZgK6bUPXdYP0kInfle+HL1hriT6CSj/kRNxFZLwgVkdmfoW5j4X+D2Gwp/HioezTrMQ7iBgEAiMxlqNc0iONrvXojl5h1ruxslWaBiWT6HCrzrXXBoUtve9SQD765wwBmf+5OgiFekfSNEra1ViLS1/HATfYNtw4BaFHI5xbGRmwlDtxEcWqr48fcvQPchslwdwBAMD883CXqTNHREV7jbDYmGOKX/APjvKeZGGN5ZS/pwJXJC5MMjx1iWVlJwS9YsKCGps3U6KacwUXmvK8yZBPle1d6jkEQ7HbE3aBkqHeh0R9/c2yqJlch5dt43aE0JerdPym+/uzZS10kr4a7NDNrWCdOnmXdunWjRo06c+ZMeHj4kydPzpw5UzH0TbPDtb8MgOmW7DNJI4rDmD64bD7ul4tKhlKaM4jbWMCQeMjT1FltFQrEayaRtYoTto/R/8Pob3KCt5Vf7abArSkoQW3Z5F4+vs3aCkNwG1GHPVlfbW65v7we9bS/O5Wc42P3MesNY2QZomJFqjEp3/h4quLp931LPvGzpAWvSvtX3HKXcOE5HYQAgAxTspk27c3eBp7hvu624xU8l1u286DRaGJiYnr37t2qVavMzMyzZ88uXbq06YWzL64yPB8BlgzTVrEEQqGD2fn5ga0ZAHuyWkrgIqnmVRz3lTNmC1WkQj2qWiFAAJJgzds0wYkTi8UiFArj4uJ++OGH3Nzc1q1bb9iwISwszNFyPQ8Wmi0yMAAA0Fl8PfWz11q+n7Nlk//SeYaALaz+OAKhdPFhPHBTxefetgESwMw2PehOl1wks9fifisB/GLFmaF1FOLa1PlLtJT6pvbyVJ857cTd5j4af7Lop9c9ag/50qwxxXWvkmxGShs/Aix59/ebwd+x/4ZL8eb4/Jy/f6b/0wBoKAzeackHAIQJWm6L+r6Jxa6ZSr+bl8/opiIlIfwnX7YI/+hJ8mv3fE61TW/vLUgugvw9IXFui+MTIE41e20QxG0VZnr4RNjPRsqZUkq3JX3t/0LXOzaagRMnzw2O45MmTbp169bq1asdLUtDOZNq3nK7zHlJx2ntqu3Fi764NO+svChrsdddr5D1dNFhGwtQmIP7LSeS3oX4EYjbyKYWukZKYovTJzz02RjmNqXegfEbwta0tZ4c727SPgCAoR6jThb8PMgtGoebJG2rg8DkH9Dq05zI36xFiiWP5u1rpzpiQVzSzRnlzeRcH1e03qkIHQZrC5FIlJeXV14sLCwUiUQ2WzqcEydOcDicurSMKySG/6LU/am6K7l4os+NWZcenBMfz/m/19Zf33nTbK6ho/7SjaKvvqvu6saUZSpCWV+xnTipAo/HMxqNDpn67NmzU6ZMSU5Otlgs1L84RJJaqfv9/keGeX5skvF2CG18YorrQamO19zekjKTLr1fQ4MMLTn0pya907VnlHEBl9W/FjyMuKL8NqfJ5o3XxU2Ji84ypZfXzH04YVvGuiYTwDEwlCmuO6U+U15Bl9433g5nqJLGmK1p7nfbOz8vjdFNRYQ4pCdYYS/phT3BfaamThleStLc2DY+b3qpJhZrTsk9bMa6AQAIurXD5NUevH3szOLspJkzZswYo9G4d+/eipVs83f6LmVliNtb5rjuAMaIzBUgc0XFq4h0KO6/tryI15YNzF+EHnqjWltjxpRM5dseAXbtirqNqYfcAAAAdOdUWbMSgn9qI+jkKugoShp6l6VZ9/ea4qx6Z9aXbYSdfLkB5TVTfeduyVhb6JnryW3SjYQmBUIw/8+J9AU8UV8AcwBgiYzFmN8yCGnGiUNtK/iXzOjGipAD6wkGADBpuIIjdMlekJibnn79p9/f+XjgUV/36rQ7AADi4JzwoBpG1pJqISpyeF4BJ06ej8TExCo1xcXFDpHE7uC+/6MK92HyD1CP8eWVLENaEoYjol71HU1U3UEeABDiQhX/hMlnlFvgWyGz18H8eltX6c6pMmfEBx1pI+jkCgDA/bhhZ9onDb0LAGhsHX9J9bue0j4pfTzncSVTeRawMVlfLQvb1KizOxZE1AvmtSALdmLe86jiXwFjQN3fdrRQDcK2gh82bNjLYXRTEREHKiVYAIAHgoABUuHNLnp5SdLtXLPuiSfSIN18svAnd47Xi5nn0YmTWvH09Lx//75KpbIWDQbD5MmT1Wq1Y6VqIBwEcBAIwC6c0O/IrGWYz6flaVHo/B0wLxwRD7TjdBAuxxTzGWM8x3dZeSWtPg2hEtRzcr2GorVU6tgHQQdbWbW7FdyPG3yoVeKr/whflXBbVBubq1bSKaqUYVvhTzPEJJIkAqBQrEwXtBF2MnuZbPYNcAl57nmbC7j/WvOjAahsOJm9ihOyq4GZcIu/yxX2lnICebU3bRyqNc5s0aLFS2B0UxEMho6PehqAExYgLMQSPaey5Nla+9Jave70Jck7b9i82t9tWJIh3m6COnHStHz22Wfr16/n8XgoikokktTU1MWLFztaqIbyig+nkxwHACCSQVThHqpgDyqfCQBgKQ2Zt5kTWWY1fDnb0tOXAwC4YrZ04eBYhZxvf5rMvXjculvPYvI5priujO4q7PoKAACwBJH1GR6wobp8ldUBuxjCTo+FIMJ4o+qloB+iuGGX6zVaFXQM84FSvcVN2pGDAwAeEMQHSvVXbk+PHqS4bIjniIZM0ayBuIGoxzvmR4Ng0auwsFtDhspblao+VFCwMSP0THtH6fhKrycYhlmTymC2sMt8er0+JiZm7ty5Y8aMGTVq1OzZs3fv3q3T6ewyeK2ESSvdaSahBRV1gIGJpUtr7ghxMP3vl1kLYfOqnOvTS2bP1YATJ03J7t27T58+ffny5d69eycnJ2/evFkieRnyLOBImXbG/D8n875kKRUAgMxejbi9BfPKMoPN+F1joVkAwDGDcYFKQ/5rebBBq/tap7cZCZ3WlFBKtY3A9DAX91tBZC4GLA0AIPN3wPwWiLhfvWQuYZj7NA91G0bkzkifcQbzLzB2UqWF5+es+IPM7yzoOBnADXLYaYPjW92k84vVNy2WxwT5QbF6tVTcifMym8fXF1TxEcQNwP1WNmSQ/DVp2t+U4X918vo0MHnoXUu67U2RxqaSgk9JSRk3bpz1w7M0fLKrV68qFIqdO3cyDBMREdGqVSsYhvfs2ePv73/r1q2Gj18r2++WFhmf3rO0GytJ0hWRUtaSWXNHmMfFg/3Mj5Kqa2BhzFfVF+0mqBMnTYhWq23dunVUVFRycjIAYNq0aTt37nS0UPYE5oUisjfJ7M8ZUyKtPoUpbMQN3SAVAwBmF2sIlv2yRHfTYtnjLqtydEdk5eV9sjHvk40Fyzfnzl1ljq/0VGRpHSzqDWA+WbiLMSVT+V9jioUspbXq+zpSwjBzVOqbnks5/j97TIcThtyd/09uyZiHor43OEE61HPSc3z9KnTg4FvcpPOUminFxasl4j68FzEDvQOBECG35VkIf35zwvw1aZpjRaFn2mOeuNtkbwfq+EorWn9//yofAAA0TcMwDEF28POeO3fumjVr5s6dW6X+4MGDs2fPbgIdfzXH0lmOe/DLXlexUA5WqM2kPILNaaA2Qxhe20jjvXibqWOtHMn7LkrYzplizkmzIyIi4scff5w7dy5JkllZWQzDKJVKRwtlZzCfT81xXRj9DcxnMYTauElRCNosk8xXaYYVKAUw9J27rEpyCtZCFG2MEY8a7NKnKwDAFJeg/Oo77w0fI1IxAIDRXTXHD4NQMWBpUn+LhFdCALYkjGRpI+o+Dg+qaxhQPxTd4y57T6na4zZZ3m/X7/kLPxyU7D7V3XXgt1jApvru9lcHF4IABFgG8Bu2H/BfY5NWJ0HgqUIXAAClJvVGai5uWCoRhVfY4c5fk6Y9qQw72x51K1M0bpO9AcUmD70b9nsH3L9JX6dsWxAkJSVFR0ebTKYLFy74+fnJ5fIbN545Dqo/qampw4cPf7Y+OjraLjsEtfJ5L1Fbz6f/EqLF8vPgajrrzZjTa+3L7xhFJGdUd5UDcxcELeejz2/84sSJo/j8888XLVr05MmTKVOmdOzYsVu3bjbv02YNhIoxn0UAQlCPiYkq8pGy7I9lwePiss+pGjoARTQMLYFg/jNLGktSOuoutWp3AACvTQS/Q5TxzmNrEXbtBgva4oFf8TploR6TIETM7ZDEbfcAwqT1XXa3wLDd7rKZ2AS17mbYzILwsx28PjwP81sioj4N//8AAHhMkNOLVeuk4m/cZQuLNTctNoLAO7HJu0KXYwbjNzo9WUgk9Prn8Su3OmXTYZXPr/WXNS7dxKis0qmHS08xY6TNqUbQtEA2vV179uzp4eHx448/9u3bNzo6miCIU6dOXblypYGTRUdH83i8zZs3e3o+TbKuUqkWL15cVFR0/Pjx5xjz5MmTb731ltlsfo6+Baezd0/ebzhuWSXX4UFbam3PkhSENXXMSCf/Efh8vkql4vEcY4xjNBoxDEMQ5Pfff9doNKNHj7aX2Y19acj9DgAALKE0oe//rmZYAACI4lyjzelyl7Kz+lIpwxdDk10FJ43mf1yGb3L3xiGISHmf1hpANAUAACAASURBVP8DAGDMFtZCIKKyTJsQzLGkzGVpsXj0UGsNo79pSZnGa3OLZUnWkgPzI4nMpYA21H35Xk4xzYxTKtvrTi007XOL+Nn8oAc36qxdMtgmkuS0ItXnMnFPLhcAcMNsWajSfOMubY07j+HrhIpmZiUWzBmThhSRCARxOHDYuQ4V/RpoHZUy/J6gs8hnfZg1wKk52Zg87K7is2DpOHl5s6a5322rq9u3bycnJ9M0fefOndjYWJPJtGbNmoZPFhMT8+677yoUisDAQJlMBkGQWq1OS0vr16/foUOHGj5+rZxNN/NQyGo0CwAQuruGEB6npFKzbmddft21avdzyhMSTNZJ/EqDJXXipNGpIbnU7du3m3tyKQAAQbPldnZlQLg7HxwbWeZNQ6Sezcr9S6EYgEDgAUEU0kwvhIOVFI0quZTA7/uhSrPNTQq7dGRMKZywvWReoWrnYc9lsyEMpYp/oTVnTfcLXN9oVT42LOwCu3Qk87/GFB9D/EjWnEYrf3yOvOnFNDNZWTyKL+glm5Dx6Afk5kAXnwn2yk+PAGiLm7TDv1Z1Xbmc7e5SrLZI2yylArTexgWYb8e8sc0CkZpaNDbdVEieW6dY0NIjdWRc0sA7FXU84oqG/NYuZfi9rPmJfptbmFNsaPcmw7bGkslkmZmZd+7cadWqlUAgSE1NFQjssPns4eFx+vTpzMzMx48f5+fnsyzr6enZpk2bOobJy8rKoiiqSmVhYWHdQ26lqCkLzZYreE4IH8GRlFIpoOt6QEDmFepOXSJzChCZxPW13pwQ/4pX/XnBvyuPORW8k2bBy51c6mqO5XC88euBNdnEYL5L+fmxsHw+zvdPLjW8xue5wDCR8h7mPXelZ/gPpQYGANRzClW0nzEm4IFDMP+Uoo2nXId1A+wu072xAMX4HSsZ5eD+a8wPeqFub0McHyJjEaZYUF/9p6KZ8UXFb7nwpwpdAMMm/jIbtP3swZb+7b9nYK4dctOGVl6lKGNyeEcKgn9uA2rMB25+NBBQWlAlphtjZGkdv2MGcHRS1yaDUhIJfW9bColHG/xvDXX5no9MONompbKO/0yjHc7ntzneLmX4vcwZ8dpL6gsfe33wtpdjJLYZwHbdunVCoVAgEHzzzTcJCQmBgYGzZs1qjEi5BoPBx8enLi11Ol3Lli2DnsHT0xNBkDpOd+ChYfllbcWaMWPGYN7e2qsKhiyutTuRW5D+1mz1oROmx8m6c1ey3vuf8c6jOk7txEnNODAW/YgRI77++uvy4nfffTdixAiHSFIr9YpFP+2MqtZmX/y23PhkcnmR1t0y3mnJ0oaKbSjtn8Z77VjazDKM/sI17U8jtEf7lpz4gyHIZwckstZYkt+jtBeN99qzdE1JLmySS1K/lRpZlmUZNnNewpP+t+OLjTcmxyW/cZc20fUdrWaKdmU/jLySNS8xoftNUkXU0JIs3Gd6NJBlmYqVlpQZRNYq+4r0gpM09dEt8R9796cxLFtM0a/lF+4o0en/Vt+VXHwy6La1zVWTuVtO/k2zmSoh41+/s2TXk01aG9HsHRmLftGiRV26dLFYLIMHD05LS1uyZMnkyZMb/jKRnp5+4MCBijUEQeTk5KxcuRIA8NlnNnKulyMUCh89evRsvfVMro4CiDiQ1lJpuT/1zuirBX8r9a5CUzIkrCX3q/bIGdxPgck9uJEh3MgQTOGp2n1E0b6q+b2GVDnTyDppRly8eHH79u3lxaFDh86fP9+B8jQlJ3XTZhiG/RudhiEyF2N+K6pkjK0YwVTQQ25++IDb+gqE216T/SZ+f1BSH1T3Nx60BcAcGoAYnX6Mi0BafTDsinijyBsoD7Aga0Gi+bEh5HhbWICwe1plTo9PG/sg6MfWdlnHAwCK9+YWbs4MPd2eE8jLW52W/Nrd0NPtUaltwwvUYwJVuJ9WHUdkZTFwGMN9WnuJ2/YfuwjTXHjgBvnicN9rJmg8K0Pgve6yd5WqHjdKIRTCPMpOPbpzOZtkkvnFmtVS0dYY3548zkKRw6LZV/tbMZlMO3fufP311wEAAoEAaVgwVysIgnz//ffr1q27f//+o0ePHj16FB8fDwCwfm74+LUi5sIGslLsCswVC+8y8onFizFVDcf9LERmruCVDsZbcdYiNyKYKlKxJFml2drkTwssefaS2YmTxsaaXKq8+HIkl6ojl8b7cv6NTkMpDwMIRt1GPdsM919L5W1jyUIicxkqn1WddgcAuKLCDaKPDYLOiHggDcD/1Jp/LIRLvdyMWZA5K8GcaLRqdwAAhED+OyMREZo27gFrsRl9p34U780t2JQRero97sclCyzey4JEQ9ySh92j1FWfZv8C4wHricxlgLE6c1sTsayAEGHDhWlGjFwb4T7UTXtCmflBAmBYDwT59pCR/iKb11Lg/01kebPuXM5nUvG8Yk0ojjpQu4PqzuAPHjz46aefzpw5c8eOHSiKzp8/v7CwcN68eQ2czM/P7/79+/PmzUtISDhw4EBwcLDBYHBxcfn5558bOHId6a7gBIgqfWVOAN873/MRZBxgrF3BIxIR5u1ZcuwcayEgDk6XlMJcDvSMsfFI+XiDTYMUJ05eSF6a5FLHkkzl+eBNFDAQdO9DRdZioAj97jXb58yIbARZ+C1VsJPM384JOwhsWZxZI5hanoxnyWJOyO4aZBjI4wLFmGj1oG8I8odSQx5Fx7jL8PooeFpPlZxU+mwKs2r3MgFQyH26T0r0fSLHzAnm19C9VkpOF+etTG1xuTOm4GRMfaw7rwo92c57eTCtpdLGPAg738FmL1jYGRZ2JvO2YT6fUMU/AcaMuo9uiBjNEQiBAva0zJj2WPNbEUAh3IdbtDWL14Ifeqp9xX8sNcPsKNEP5POumSy3LJbOHMfZKNjcuO/ateuff/7JsqyXlxfLspcvXw4ICLDjwcAvv/zi5+cXExOj1+urk6GO1P1Mzibxi+9+GLhiQuw68+PXa22sv3Qjd+G64pjDlKaENhgL1+9S7z/63FM7cVIRB57BsyybkJCwdOnSd999d/ny5U+ePHGUGLVS8/1uppisEsr6dyTe+M6J4vJisbGmA2y6NM5wQ2ZJmVlDG4bSGW+HUaqTdZEz1mhqk5U3ukBpYpjaWz+DMU73IOiy5rei8prSG9o4v7+0sXZISG/JNj2KulqwLTN96qPk4fc0vxU9CLysjVU+an2tcFtmDR0ZS47xn2DamGS8G0XrrjdckmYKQzFpEx/e9/7zvvzPJwNu05V/WiqafiO/yHruXn4e/+wgjjyDT0hIiIx8uuEQERFRnmnKLowaNapr166TJk366aef7DhsrVAM+OxKydqeovIa99aeXrs4V6UdaUNMrd1denehtfqSY2dNcYlMSamgV2fx26/bbFlEFOSZs9u6drKb6E6cNBpms/nmzZtisVgsFgMATp48CQBYuHCho+WqNxwE8nUtW0gla2Ae+rRYM7CgNR60FRH3r6ENhAh57eIAXHskMhqAP03mABzNoahUkmqJ1yOiQCZF/WWyTGwtDDnWNmXEfQBA6iCR5obWY2Ki/65I0WC3WkeoFdyHG3KqXUKXm7gXp8WNLjAXZsxM2tgHsncVHrNrOpqBcAXqOcXyeDAi7gcLuzZckmYKhEABe1tmTHtMFxFBv7SFeZVOuj9WafrzuHNEQgBAdy7n/2SSD4s15709efaIBltfbCv4Ll26bN26dfny5dbigQMHOnSwvW/z3CgUivPnz2/bts3Lq0n9B44nmSoqeF6AwB+4ayVBtBqwZCGEedbQFwAgiu7v+npfuliNSEXPbs6Xw7DMvuztX0R+60wS7+TFZ+LEiRcuXBgwYABu12gnhw4d+vvvv6u7+s0339hxroaDuo+rvVHdtPsStVZJ0z96uF02W6YrVbvcZXXX8VIYPm40FtH0R61dg39tmzji3plxkqE/aAK+bena3z6muyzN5q9K47d1JXLMyh3Z0nfkBRvSpWO8Sn4rMrwjF3Ss6cwYU8xn9DcwvxV2kaT5AiFQ4He2w5ZvlkmEFQwqX+FyYuUeDtHuoDoFv3379gEDBuzdu1ej0fTo0SM5OfncuXN2nxuCoGfj0jcqKAx+H+NesYYTymdcWTInuwj15hsfI6JaFDwAAEJgxkIArR51r9Z11IvjPSdwsVO7O2kWnDlz5tq1a61bt7bvsO3atTtx4sSRI0fGjx/v5maHpWe9gACAaovfUpErZktXDo5WeBD/ZTL3rE+6WCv/p9UpaXq7m5QLQQN5XFYimlmsPubpLkPqZP0uhOH97rKpStUGra5/BPf/dvl9/GFu6B67aXcAgPpwge6CKir+FUpNJg+9W/R1lsc8f895fvmfp2W+Hx95t8alOcwvz7TrxCbCZ9wlnq1pMmwr+JCQkMTExNjY2PT0dLlcPmTIEJFIZLNls8NXWEnpojLs4ZtpRDqaJHf3M8Yjor51GcT8MInIynWb+U4NbYL54Q0S1ImTpkIgECgUz587qzoiIiK+//77P//8c9GiRS1b1pLMye508cblLvV4sB41GH8sNWyWSVAIYkn27Dv3TGqSOtERqP+PMT2x1QPGAzZAWNUXl7cEfB8U4fz7ojCIzwvCMFF9croIYfhbd9nYouIfSw3f9JR3eBRQ9751QTraU3uyKOO9+MD9UaGx7Q3/6CQjPEqvapW7cwMPVJtMy0lzpHK6JJY9dOjQrFmz1q5dm56eHh0d3aVLF71ev2vXrrZt2zpKRPvy5S19oaFS9sahp16V3sl5qJOwxvg6DsLv2tZ46wFL1ZIF8mj+9/9orz6noE6cNBUrV6587733UlJSzGaz5V/sMjKKonPmzHmO5YFer/fx8ZE+w7hx48hnHFNtwsegFrJ6HH5vlIoBALOKNRaCOT/unoago4JcMkbFsQTBmpJR6fCKfxDqxhjiINTGbnYwhnIq78eGYihazx3aJJLS0owcQf4y2z8TDITDQQdbsTSTPukR5smRjPAovaZNG/8w8ECU8FVnMkzbqIhq8yvSam3pXzf1f1wj81+8HIwVLe6s8SmjoqIGDBjg7e1tjTwTGRnZp0+fmTNrsi91IPW1on/7t+LrOZaKNf+8eqkb3uWdN1ubHvSq+zh5S74w3n1cc5uk0viYzC/rPqaT/zIOtKIXi8XwM7uIDpGkIiUlJepnOHToUEO8ZmqGZJjZBcV7R/9zZOhNtZFkGTZzbkLy0L+NtyMqGY0zpCmuG6WOtcuktzRXCKbSE+m22fJKTv51k1n3/+zdd3QUVRcA8Pumbm/Z9J6QQIAk9CZNUJEiUgQROyICKmLFLiKI5VMBC4qABSmKCkgRUIogGHoNLYX0nt1sL1Pe98eGACFACiRA5nf2eGZnZ967G13vlDf3CcKoopIPzDXUQWs40SOkjz6c8cBR63bTkagd1n9M16OXW8MRy/7xR0YUuHMv/ci+c1/OuFdL5/1Y9tXSnCdeq1j9Vy3bbJzf+0U/49DQ0CVLlviWV6xYAQCrVq263hE0UF0T/ORNpg0ZrgvXZLyd2oVsH2BUO/YEYbGG2pM1sqzbVjZ/WR0ClUiuqAkTfNklTp06dT066tevXwNbaOBjsVcm8uKGBw7+MDBlfG6px/d4m4izp5zMfWm263AfjCufhuIK57tP3HtNejxjPzHu8LC1Rb9UrUn3cj3yClPOPVhVIQjDi0oWWW3XpLtqRLeQPvLwoYBttl3m69H+rYETuddOTp539v1PM96t9hFvtuQ88ao3v6jyrcWWO/EtT2YNxwGXapzf+0WH7QUFBX379vUt9+7dGwAGDx58/S8iNCqDjCh3XVQKKuadhLJgu+zrH3jkX5uJ4X3Ud/RQ3927NltmOs9gqO10OBJJ4/Pz88vNzT18zq5du7p37349Otq9u85TqzWmP944KWS5B/7WgZURz5aZvRgDgojPWrozBnhyeL5sJQBg3szlf0ZHzm54dxjwioLFo4If2Vy2tuoKcDBF/hBg7HquNIqWIH7w9+sru/ro/XpALBGzLLH1/m6qHrrr0T4AiDYHX1QG4jWovtdUtpStD2CDn458xcSVHbXuv/Ajz+mzbMtYOqRyaDapUSm7t3cdq3HERtOofg++ahJo3wMzN+ac0A1hVBCWi2s9WjaVv0U+x7aIK3UHYWdqLdtBLMNE1Wpc0srCH/ZX3ND/X5M0c++8807Xrl1Hjhx5//33T5w4cdiwYZMmTWrqoBrbJxbrn0M0ESUCubb8Mz89heCFcjMGsG41OQ/ZqYAPuJzpWLBxubNIv+GEIqHhPf5r2kIickDAsL5+A1YVLfWtVCDU4uIJ39QEEXO1iarrDTEEE35djh4EU0Xxe1/kTZlRNPOL3IlvOf47dD16ud6svGVDyW9jQh4nEPlAyBPLChbx+IIhIBhXf1CDIEC8gU7nmmz4flMZl6R6qM1FhR5p4+ejV7x52NUrmN7nSXvcmaKvenHZ12DSzAdCxmtpaeiK5Mb17bffrl+/fseOHX379k1LS5szZ45ef13+i73Rnn2/UAhJftQjJH5D+/y30m0riuf46TuyjGWLKXvCidifk5Rde5KaPt7MKYJpLR02reHduUXXqqJlD4Q8gQANCbjvtCM1zXGy4c3eKDAu+XQx2zImYtHssC+mB742yfTdr97M3KYOq85WFS3tob89iA0FgNbq5CA2ZEvZhqpP2fgoz6kMvqSyCpzocDn+OyRrG9c0sdak+oHh559/rlarAcDhcADAhx9+WPXRtGnX4D/rJqdmULVa06SeEMpQiVfJItCxfOX8zZgXvYUYvFdurWT218YpjxJK+RW2iZBHNzhqieQ6qqioSEpKMhqNaWlpADB+/PikpKSXXnrpmnd0TSalvE4eUCkBAOKVcWvbp91zKBRgZACT/WRqzIokZRctANAR77iOdGbCpyPqGhz9/FH8S6K6Q7QiDgAYgh0eNHZ5/sK34v9Xp2f3b1h8qUkwWXSjBgJCAMBEh2kG9XXsPsDEhDd1aHWQ4zp72LJvVqsvqtaMDRk/M31aN31vLaUHANKg048dWvj6/xRd2yOacqYcUvXrzraIbLqQq7voDL5nz57//PPPunXr1q1bt23btp49e667QFOFeG3l24RP9140EwwdPAJjTHDCx3mDATF0zFw6Zi4ACQCU31UmokUM7Ui5+qUnHvMLc+aI+CqP1UkkTSIhIWHFihUEQXAcl5OTU1JSUlp64z3w01hk8cq4Ve1zpp7KuP9I9NJEX3YHAMQEy9puowIfb3gXJd6if01bRgSdL6TRXd+XJpj/zNsb3viNQDBbSL0WLng4kDToBJOlCUOqh+UFC5M0HbOc6SdsR3yvMm9JpDxmddHyqm1U/boHzXyBCQ+ijLqAVyfqRg+abq447D1/ZmgSxafLTC7cNNftLzqDv0JdyVuGi8dbsj0vdDk/yyGhTHQc7OnXYRevlAEhI+RxguOIyOWRuv6E6irF5JW9u1jXblH373HlzShEWXnLcduhJE2na/AdJJJr6v333x8+fPiAAQPGjRvXqVMnkiTvvffepg6q6WAo/TZP1kKBFGTp13nKzlpEVSYqQn5trr7+UvC9jjL8Vbb2wpUKUvlr4ZJO2tsY4loWDG4SdEQIl1coVFhJXWWpAPfhEzfX6TuHvSwhL+dKN5T+Xu0jHvMXvqWD/Om7zxdIvUMuf6bU9IW/oR3DmETx8ZLy/nJZU5WqRbiJjiyulbVr144aNcrtdtdyewxQZBeCVefr2Zl/K8575b+YHyZ4gMSyJF3MM96zUzDvlLc/coVZnytbE4S8J98I/uBlKuAqhSQFLBCIuDWuv0muB4VCUV5eLpdf6XbP9eN0OmmaJkly48aNZrN59OjRN+YA27r+3q/Mk/aEaNlabaXoEjAPsqQtpDo286FjiCGiv29bleOvid3m7RWc6dL1JCL7GwdR6Eb8y9eV5ffN9p37dCMGEGqlc89h98mMkA9fQexNf+xSG7vcnpfLzTMNurkWWy8Z+5KuhoJIjfN7v16DM29YCOCi7L6qJO/lNET556+4J3TsKntxKS+fjzkrFTL1qtkdABBJqgf14fKLr5rgSURiwOXeUj/G/8pbSiSN7Lfffhs5cqRvedCgQQCwcuXKUaOucn/qFkAZhnDO42ybDb5bcoAh/610gl6lH7WX8msBgGJ+Ssx8+NjZx45f2xzfQ9/3WjV1w9KOuIsOD3bs3Cc6XWx8dPDsl5pJdgeA22Ts2wbdlDLT3Qp5jdm90TS7BA8Ab+6wvNZdo6SReVVJ3otn1H0OGEZssFRUACbUhizBdhYQhe37PCeHU4GPkYarXKvU3Tewlv3aeMuMtBffb/WVklQ1+EtIJNfAwYMHOY6bMGFCWFhY1UqLxTJu3LjmkOBJv+Fc8SLBtJYKeAwAij7KsqfYIz9ZxcYs8Q3FRQwR82Ni+rDD+a+laWfFLTnumNxB+vHWlqJzoqJzYlNH0QRMojjfYrtLId/t9uzzeDs33ZFNc0zw+wq9+TYh4F9T3ktnKH+Ki21BBhxxLpu0X71pwGOnAEFFxTg6pofy7EQ64u1r2K+G0o0IesgjuqUEL7lBTJw4sbS01GKxjBkz5sL1Tz/9dFOF1MiYyNmeU/eRhuGI0qp668SKpaL7NkJ1fnZsV6rddcoRMCWi2CGsSXNJCf5W5U2fiLniGj4g1WzcIqj1fRPffffecvZFrWa32/NcmWmu0dBUOb45Jng/OWFyieqTTt7KaQf7pb/Y7mD6iNui0ybntN6R4wkJzf0jpffg+P+0xlGEsn1tGsSC6E3LYlvFXHXLPn53NTh8ieSa2bt3LwD07dt3+/btTR1L0yCUiaR+EJf/MRM5U9m+goCtWU9/Fv4/k/p2AwA4j9gyRh2J/LyVdqCx1MxftTXJTQwRgGgqePKF64SyX7Anv/bZHQBeKTffIZc9q1UDQA8Z+7Gf/vky018hgU0yzq7ZFboBAD85Ue4WuEI3E8DY/7VYizw/G6bK7/qvSwA+Nu9189GOrTU7tWXL6fA3atkg5rji2V8LNnttNi7xFv1+rmqVRHIjqMruWVlZmZmZTRpLE6DD3xDKfhZdad7sN+mIZyO/7JP1RKptm8l5xJYx4nDE3FbaIdK4mVsfHTFdtB8k2HBS29f3IpTthIotdNT7dWrnUz+9L7v73CZjNwQHNNUo+uaY4I1y0urBQS9FAYHoECZ+5Mk7nH6rZE9+kZxhU4ZYT7VJ6LFOHvocogNr2SAhYxWdEx3b99ZmYx2l/8+8vcxb0oBvIJFcG3PmzKmaqf29996Ljo6OjY3t06dPWVlZ0wbWmBBtpEOmes88JDpS6aBJym7a6J8Sz45LTR92WPNRy1/CFN8csn9zyP7LSafZLfqWvzlkX5rqvLkfQJJcDNEBVPDT3px3q9ZwebNJw1BC0aZO7WgumZjx0jWNpjkm+Oc7q9r602SILO7PDt5sNxXM3P5QepuHu8qUFW38du0dSCmhlA56qk5tqu/qad20A2rxzCFDsDPi5xqZgPqGL5FcG1999dW8efNef/11AEhPT585c+aiRYuKiorUavX06dObOrpGRQU9CUAwUe8DwQKAqocu9uek6MVt+P4Gs0e0eLHFi20cFjH4li1eXOoUbqSi45KGch3uwOXOEExrq0qV80UL+OKFzn1hcGH9+ZtKc7wHr2GJN3eYZvfRtg6Txf3ZIW3gQW8kWwKMesEj2nd/6EyRGCOMvQjY2rfJxkcTcpn7ZLqs9dVLYchJBY85k7csgA1uwPeQSBpkxYoVCxYsuOOOOwBg+fLl7dq1GzduHABMnz591KhRX3zxxdUauIUgRpb834UrfAXs1ACvdK283Jpu5g8WeaveSm4xVMAjon0/Zbyfy50lS/rXc3oMqbtLdKX57s03dXT11BzP4E+UccUOwXfwzYTJxD+SSjOcmjLelNMxTfAvQf5H6PYF5l11bTbg5SeZqLCrbwcAAGXektkZr7sEJwZ8xlHbKewkkmvo8OHDSUlJvuW///57xIgRvuWgoKDi4pqGE0skty46eLLoPAWEAtGBnrRx2JNHaHoKpjXXZG6hptIcE7yTxxVuXDVpbHkQ/eXKmOx1bTXl4vPLoqeWTz4h74Ktda7aSwX4EYraliUKYkPvC3qYx/xu07YP099Md5yqa3cSSQPpdLojR44AgMVi+e+///r37+9bf/bs2djY2CYNTSJpdIhhIt7lst+gI98TzBvoqPe5nLfp0JcRZWjqyOqvGSV4J4ctHtHiEVvoKV7E+wo9vrflXuHeCO1jCX50qCwmAxduS3F7W8ts/17veG4z9KMJ+veipd31fZcVLMQg3dCTNKqhQ4d+8MEHu3fvnjJlSosWLTp06AAADodj+vTp/fr1a+robjgGGdE1pLnUYmueSMNgxIaJtj3ydgdAcGFPHhX4WFMH1SDNJcFjgKG/lt2+rPT2ZaX9lpVigAWHXb6376+yxVbQACBPUPYhIko//EDclq/0ZmG+vO7d4LxnposOZy03/7XwRwHzKRX/YIx3marXxJZIrquZM2eqVKo+ffqkpKR89dVXBEFs3LgxLCzMarXOnj27qaO74RjkxIxe2qaOQnJ90ZGzuPyPAbHenHfoyFkNvPvuzXVjrinP3JrLIDsE8PcD5x9mjf26cHIH5dMXF6Xyeygkcm80td9/994DTw3oIlp3k4Z76tgNkiW0sG3+Vzv86gVtSr3Feyv+9QjuNqp2NsHyW9FPHbXd5aSibj1KJPWl0+nWrFnj9XoZpvLENCEh4ffff+/duzdJklfeVyK5HkQsbilff4dxSFPNy0XIW5KGe92pAwhFW1LXvyFN2XaaM+47oulniP4xEdHSc/DX2Y/HHVXPsALArjxP1dscqwAA6v6GNgltA956+4BcQWh6CXW/DQ8Amnv6Wf/cgfmrT/3+c8HiKHlskqbT1Ji3AEOwLGx9ya/16FEiaYiq7A4AkZGRt99+iO9DiwAAIABJREFUu5TdJU1lh2nzivzFO01/N2EMdPhriJAxke9d+tGvDud+z/m53jHAV1ZbDl9DiUP7fxVnHzke81MiAGSOOYLPDflqZM0lwYsAc/fb5x6ofAHAgWKu6u3OXA8AcHlu8n0X5OZYAgItQlvRUp8Ez0SEMGGBjt0Hr7zZSfvRbFdGlitzVPAjAJCs7VzsKdhp+qvYU1CPTiUSieRm5xDsa4p+fiJiyqrCZS6htjc6rzlEGWTJe5CshtLjkRT1XJlpr8cDABjgPbNlp8tjvOSA2P5fRebYY9Hft9Xc6Rf9YyJiiMyxR5skxzeXBE8A7Hwo4L+HK18AMChG5lve+0jgg20UAMBEy7lib4ILZElJ/x6owFwp5upTb0734L2EXHaFDUQsLstfiICIUcSdtB/7p2zzP+WbKKBlhGJl4Q/1+4ISiURyU/uj6OcO2q499LcnazqtLf6lqcOpQWeWmWc0vFBm/s/tmWm2nPRy3/r7KS4uQ1uV3dV99ACAaNSEOb65JHgAUFBIyxK+F4lAxVS+VTGV/3oQicLej+vib5AnJe/anUJoutfvJJ6NjbjyJIkiiCGycCtvUVPaLFd6tjujpaptmCyygjf7SRXuJBJJ81Pozkup+Gd40FgAGBH80C7z1iJPflMHVYOOLDPHaJhcZtrj9nzr76ciqt9cz55wImBSuC+7+yAaRS5o7dhrNa9q7ArlzSjBX4giUcegGp54UffR9w/vIFgqtqelkZregnXH9eidRGS5t7SDtluSumNrVXJrVXIHTbdu+t7R8jgHb7sePUokEsmNbEXB4iGBo1SUBgA0lHZgwIifC75r6qBqgAH+dLrCSMosise93ks3iP4xsfTrXMuG87M5YI+YNS5V3Vevv6+285tcK800wWsYwiiv4btbt5sidwS9+2SZ3hprRx2Eir+hvo+nW9dv96Rn1/gRj7kANljA/H7L7gtfhZ5cm5TgJRJJM3PEur+MK+nnN6hqzR3GIcWewmO2qwxmamQYYKbZcsLLLQ80zjMaXio3p7g91bZRtFfH/tYu55mTvhyPPWLmQ8cIGRH1XVtENfZY+ubymFw1s/pot+V4eoZVrzbPhMhsa8tLWle8duzOfQuLew6Wi45jhDKpHl0QKrn5pzVB06dc+hGNmAkRz1+6PteVleGUStpJJJJmBAP+ueA7Ban8Kf+bC9fLScXPBd8ltuzQVIFd6mur7YSX812Z78gynxr1z5eZlwYao6iLMqmivTpmeVLGmKMR81qVLcondVTUojaIbIIn5Zppgg9VEUdLqk8QxBV7895IBwxMpPs92V+zPuvP9+xNVWyqX4JX9uxsWbnRfSKtNtPP+ITLo8LlUfXoSyKRSG5SCNDQwNEesfqpcJS8hYysbfHvxjFYIX9Mraqa3L0Lyy4LNAbW9Fipsqs2dkVS+rDDmgF+TZXdodkm+FZ+9OJBF1UY5oq9aYMO+j0QVPpNbveNUXKH/fOI7979sE/IG7/QoS/XowtEEtrRg8zL1gbPfKFOO/5TvpnD3B3GwfXoVCKRSG463fR9mjqEWomgqmfMyEvWVFF21bY+2I0KYJoqu0OzvQcPAGrm/B8d8/jMgAP6UYGiR8QcDnwtKttgHVDUT/HUANGR5Tpypn5dqHp1ovx0ostdp73aqtvvNm+rX48SiUQiuUHQwWwTZndozgn++S0VRY7KenOIQqru2vIfCyxrS4JejuIzvBunGbITZPnPnnUe70Go/qxnHwj5Pz/uys/EX8qP8X877n/17FEikUgkEgBotpfoAaDMKaab+SBl5e0TOpAV7AIdyOpGBChzPR1PKh0xRvGM4Ertp+2/FOC5Rg7Pylv2mHfc6V/HYvgSiUQiaRSi/YBgWlfjR6RhMKHq1MjxXKr5nsGHqskCe+UZPOZx+dLCkNei5cmqrMdS7bvND+2O6XVU87Hxm4p1saKrWHTV8yq9j/mnNdhTwxOTV8AS7PbyTafsxxrSr0TShDDGixcvHjp06LBhw/788/xlsMLCwnvukY5cb1wihqc3m5s6ikpnTPxpUw3F3m8EmK/gCr8EUgmU9vyLVHGFX2He1NTRATTnBB+sIgps5y/Rx//ZoXhujrKTho9hs2dlKnaS8yeJT5Y8pJkectww+K+8ZQ3piy8pt6yt22ywLCF7M+6jOGXrhvQrkTShWbNmTZs2LTk5OTQ0dMyYMb/99ptvvdPpXLeu5vMeyY1AwHhLVvUx7U1lY6Z7Y6arqaOoGanrT2r7IkJOh0yteiFSSWq6k7qrTyjaCBr7Er3NZlu+fPnx48eLi4t5ng8ODk5OTr7//vs1Gk0jRxKlpQ4Xn39Sjm2hiFvXPm3IoeA3o8sLPYd18MKHzgUdT6naBKrZu2eapwFMr3df+ofuLZz2ser2bpSfrvZ7+aaOPWo9EKtsqSRVV91eIrmhLFiwYOXKlX379gWAkSNHDh06tG3bti1btmzquCSSa4aJ+sB9/C7SOArRAQCAeTOX/xmbsLqp46rUqGfwu3btCg0N/frrr0VRTEhISExMJAhi4cKFkZGRe/fubcxIAGBonPz1HuoL17AtFC3Wti94LzO2g7b9Tufvrxgnv7dpIjttpu1DwlvgPnqb5/hdvpf71H116osK8FMP7G3+/rd6xJnhPP1D7lf12FEiaVo2my0urrIIRL9+/SZNmvT000+LYtPMmymRXA9IFkP6j+FyZ/vecrkzSb8RhCKhaaOq0qhn8FOmTJk5c+aUKdWLuy1ZsuSZZ55p5ByPAOhL5gmQxSlUa5JPDzsUnKx23OmXZElz2LgSRU8ZGagX7MAEA4Bo349wnZ980A6/s+yrZSCKQNTtoOrewDH5npy6dieRNLnOnTu/9957n3/+OU3TADBjxoyOHTu+/PLLEyZMuOq+oiiuXbvWe0mt7wMHDkiHCNdDuUucu98mYAAAEWMBwxs7LL6PWBI910mlZRvvbDDXKuRYK++7+xZ25VXeMojWUSGqGgrLNCE6bJr7SBfR8SgQcsG0Vpac0tQRnYcwrmet9XrQ6XRHjhyJjIystt5ms0VGRppM9RmVsHbt2lGjRrnddXvW3Gfor2WrRxovyfIwz2ILGpa68+kAA5r9UtiqUcatiwJpw5n75O2Pip4C9+F2TIv5lHF0PXqsN6/oKfDkRcljG7NTSWNSKBTl5eVy+Y1VuqshMjIy+vbta7FY5syZM27cOABIT08fNGhQeXm5yWS68v95HA7HhAkTOK56ucmCgoKUlBSev0FHXd28nBz+I93lm3lDwPjdf20zelXeNkUI7o2TyxqxjvqCw/Z/8yqP7XKtAgYcoak8F70tlHmq/Q13v5Iv+Z4v+xUhijTcQwU+UZtdGuf33qgJftiwYXK5fM6cOYGB5yfVKS8vf+2110pKSlavrs99i4Yk+L7LStbd569iqv+HO89is80+qxLxffcO05EWEREEoUSiAxEsFj0AmJDFypIb9XqDiSubcebFF2KmR8ijG7NfSaO59RI8AHi93j179gQFBVVdq/d6vevXrz969Og777xTjwYb8nuX1BIn4sSFxacmBDV1IAAA8/bbMeDnOqmvvmkTwoL7WF8AQZa4A1Ctros3zu+9Ue/BL1iwwGq1hoaGxsXFdevWrXv37i1btgwKCsrJyVm8eHFjRuLz95iAS7N7Ds/vdnsevzus5V6HmnRwIkliwYFlQGqxyAMWAJHYW1TvTssXrOAK6jwrsIE2Ph/ztpaqwxg9iaTJMQzTq1evquzev39/hmGGDx9ev+wukdygEMnELWbivqtldm80jRpNQEDA+vXrs7OzU1NTCwsLMcaBgYHJyckRERFX3ddut3fu3PnSe3IOh+PS63i1RNV0eBNBUSsCjb+S9tATnn3qJzvZFx5Kg4QYrOiW6twXSqo6Co6jVPhr9esRAOjw4LIvlgTPfL6uN+Mj5bEAUOTJ11A6BamsdwASSVPZvXt3U4cgkVwXhLy2k4o1pkZN8Bjj7777bvXq1QRBPPXUUwMHDvStLywsnDBhwtq1a6+wr0ql2rx586W5fOvWrU8//XT94vn9tKvEKUy85I7OSofza84xJ1HVtuxZu2yZLDaCgQzPqZEIkODOQLSRDnqyfj0CgObu3s7dB61/7tAM7luP3Q9b9x227Hu1xax6ByCRSCRXQBFoUocb5RTCT06IjXcb+VbTqAl+1qxZc+fOnThxoslkGjNmzOLFi0eOHAm1LnwRHh5+6crU1FSE6jn6Q06jw5dMGpvD8wustu/9jVR/h+uYN+WO1/pVvPlvRVxvtJvU9RcqttLx80T7QcFW87kIZbgHya44FA4hv6cfKnr9E3mHNnSwf11jHuB/bwATXNe9JJIbwfz585s6BMnVIYAb5573g20UTR3CTaxRE/yNVvgiRkedrag+HDeCov4KDgQAPC0aMHSEcZkHF7UST521D4ym/kO0P3ZniHw5n/8JFTj+wh2x6OSLviXVt10lwQPQQf7GqY8jsj4DIBCgDtquAJDmONlC2QpBU05VJJHUyWOPPdbUIUgkzUijDrK70QpfRGnJXKsgXKZ/RKIzd+4PseGPFNN1GkLJ70CCm4n9ii/8ijQMR2wkoepAR7xT9UKUnjSOINSda9O1PKklFeDXkOBXFS1dV7yyIS1IJBKJ5BbWqAneV/ii6j76jBkzCgoKXn755aZ6qpUlUWsjbeMue4RBBTC2v00J+uRNRS38tS5B/wCp609oevIlP9BRs73Zb4FY+bgO9hbwRQuZ8LqNDcaCIJgq6hf8s1GvJ2uafrYiiUQikdyYGjXBz58/f/369X5+fr6H4uRy+R9//LF27doePXo0ZhgX+nW4n+7yFZr0IwM92a4R/v7zyWc27ebWpLQGADrsFb7wS1LZgVAmcoWV9xS92W9RQU8itoZRAlfAF5UVvPIRX1afiZvkpCJCHuMVPfsqdtW4gY23OgR7PVqWSCQSyS2gUe/Bx8bGZmRk+Apf+Na0aNHi+PHjvsIXjRlJLRlGBwlWPoihHjELI19y9Or104OPTCDkrUhtX65gLhP5nvvYHZT/A9iTI9r2sLGf17V9OjRQM+T20k8XB82Yiqj61F/EgP8o/pnDXA9932offZn1AUMyL0RPr0ezEolEIrnZNfZ0sdUKX/jWNGHhi7Xprhm7rFfY4OxDx2z/mO8bPVoXErpz587jx48DABXyHF/0jeg8QxoGeDOneDOfpQPHia4zouMwiHWb2VB77x2kXmNa9Ev94mcJ2estPminqX7jf79ld447M91+6qj1QP1alkgkEslNrfnOB+8ToaGK7MIZ02UHAWgGGE0rCtNppvUvvwLAV199BQCCaS0Wnd6MiYL9uGDZJnrzedNab+ZU97F+QsWWukWAkPHZR7jCUtfhU57TmaK7ztMwy0mFglQWefLXFK/AgAGAw96f8hYoSY2MkH+f/xWP61kISCKRSCQ3r+ae4JMDaIOcWHnKebkN9CMDKtaWJoikJzyc9g9YsmSJ2Wymgp5CpB4QxUZ/KGu9Tp64XZa4jQ6ZQigTScOgusbAZeXzJeUVy/8w/bg6/5l3Hf8dqscX0dN+p+3Hj1kPAsCGkt+9oufRsEkPhU10C46/S69eY0AikUgkt5jmnuAB4Ew5f/ryZ/B0EKtIUnv+Mt2hUnZ66WW73b5gwQJE6eiwVxAV4Ml4llAmI1kLEN3enHeZyNl1/ZOKTlfpZ4v9nrw/+MNXgme9EPDGZNOilVxhaV2/BUvIXomdmaTpaObKN5asjlHEt1W376DtGi6LXlP8s4Wvzzg+iUQikdy8pAQPZ8yc3XulZ/H1owLNK4uGKeSq4cMBYO7cuW63mwp8HBAgxujNnQkAXMEcQtWJ0NT5cQDPmSw6PFjevjUACBW2ktlfy5MTXIdS6/tt4NucOV7sGRb8gO/to2GTMeBfC5bUu0GJRCKR3IyaaYLPsvC78jy+FydArk2oeptrFaptrBsWYN1i6iRQnFLVbtjwwsLChQsXAiLpqPexJ18oWymY1vNFC5mI6fWIRHQ4CWVlLUZSp9Y/dK9z3xG+uKx+3yvDeTrNcSJMFpXnzDphO3LCdqSCM8WrWqeYt+e4ztavTYlEIpHcjG6sue0azcpTzv/yK4eecSK2uPEneysfGe8TyT7X8aLpZyg9HfFFKwLBMKXi2BtvHl696sMPP3zyySdZTW9CmYRItSd9AhU0vq4PwfuwsZGmH36vSvPK2zpULF3j3H1IO/wuUqepa2sZjlMixhjEf0ybBRA4kZMRMgEEESDTeUaaS14ikUiaj2aa4GkCCbhyiiIEIAJUvZXVdFFDc4efeWXxyAcDfwkOSerQId5wLGPbnbGxsSB6hYrfAGOhdLnHnQ0I0UGTa1mt1ocKMqr7dS98/RP13b0RRdm372FbxTDREa4jp1R9utT1e+lpY4I60bfsxd5id3qwPExD6jRqnY7W17U1iUQikdy8mmmCn9pZPbVz5XRJ3X8scXJ4zUjjFbZHJMp7I6313cbZfvrSN9/8ad79gfJjPDOSlSkQKUeUTrDsAr5EsB9gwuo8VbxuzBA2oYVr/zHM8ZpBfZU92kN958frrLuts+62qrd23kYRlIyQ1681iUQikdy8mmmCX3nKWTVRrMMrIgK9scPie9spiBkeXz0jEkpSPyLQtKKo93MRMHy4OTWKZUrc2R8S6sBzmwiidQ+AKDpPkPL4usYjT24lT2516XquoBixLOWnq2uDPipKDQB23jrn7MwnIqYEs2H1a0cikUgkN51mmuCjdVTVJHKbM90IQUsDxRAIAKK0Nf9NQme2EJ0CAMyz2MIGzbeWj8TY5Yr8ISwyCQBEx1H3ySEgOLF42Ufq68F7Nt+8ZFXA65OYiJB6N6KiNHcYB+e4zkoJXiKRSJqPZprgOwUxnYIY3/L6DHeRQ7B68DMdlVfYhdRQJV/mKtqpA3rJt0a0t2+N6xB9Jmvjw2FPHQEAb/arCCmpqBlc7ixAFGUcfU3iVN7WAQAXz/jc/6XxslZXmWb+Crrp+/gW/inf3Fl3m4K80jeVSCQSyS2gmSb4C7UPpM0eSnv5OeWqKNqpC2dlDtvZ+QuL7YGRy8jDXTrEZG/fOL9X50BwZxOKlnTgY6Smu+fkMAQkaRzZwMC4vI9E10kqAPwm2lyH7seuWELle6AOMVEfIDqgHm0WefIX5Hw2NfrNBsYmkUgkkhuclOABAIKUxMNtFVfdTHu3sWB6hneL6ZEuqtUc29M2KpH+GYrfdPsHEtjFRM4GAELekk1Y5Tk5guZKqOBJDYsLY+dJOuxVygCUwUbIWMQygi1FMG9CpLZ+Ld4f8rhvoYIzqSg1heiGRSiRSCSSG1QzLXRzoR6hbLcQJtcm2Lz4Kpsi0A0LyH8r/WGVMsXjaXn/5wUmdXigUG6ykv4PEIoE31aEvJWszSa+9Cfv2RcAe+sdGB3yHBZdiA4g/YYxMQ9TIaNJwz1ixU4q4A0g2Ho367O9fNPbp6e66zj3nUQikUhuFlKCh26hTMcg5sdjjl8uP+WMj2VDWckXOe6TDvs3eY+pVQvszsD2X8oZBLz976OJF26J2HC2zUbMlbhTB2F3fUvIETIm4h1v9muAK4vr8cXfYa+8aPoh15FT9WzznGFBDzwV+QJLyADANwedRCKR3Ngw9mRjT1YNL97U1LHdiKQEX6ldILOv8Epn29bN5dkTUgEDzxI5r6aNzMb7PV6x1aAMR69PvA8/NnNOVlbWhdsjUs3GL6GMo9ypd/Gly+oXFek3AkgVX7oUADBfweV/zLad6//8Y+Xzl5q+/x1zDZoHNlIeiwBlOE+/cnJCpvNMQ5qSSCSS6w27M12H2rtTB7tPDL/odbSXN2NyU0d3I5ISfKUuwcy+Aq94mVNZ6+byrHHHAaEWq9uJ81pwLDoz5NBnxQwN6Msei/8j7y4/ceKJEY+b91SrIY+ooKfYhNV80QLPqfuwO70egTGRs7ncWViwcnmzScNQQtFG1jou5JPXBLOlbN6P9WiwmlhFywkRlafyEolEcsNCsljSbzgV8Ii8/aHzr+TdQOnokKl1bc3F41xb9ZlHbjHSILtK/gpCJyMyzHycofrfxPJnWdb4VESg2N+SlV20x1qR6R+GjnwhT7j36KfLYzXxcrpdh/Zte00+MurUgH0JKzrr7r6oKB6haCNr+7c3+zX3sduRqhOpH4Auzqak4R5E+V0aklCxBXtzAQDJoz0n7sHuTCr8Vb7kewBEGUf5P/84Fq40CV7txSkrRw98mPFGnLL1iKAHr7Bxqu1wa3UygnrW2pNIJJJ6YyLfcx/tTfmPrZr7g8v/hFTfRqi71bWpHbme9emueXfeyjW8pQR/3otd1Ca3+Oxf5s8v/ldeMi9HdIvx69sru2gBYLxGNWdEUOYvFS122eJ+NX37gv+3SCVzTFtELtlq27nw4c/afN9FO/jiwreIwu6zGHPYfkC07gRSg0gNAALgsKeQZcJJXf9L4/GmjceCBYAAwAAiAMFlvQMgAmDERpLavoisvABj/nEVHRmi6t2l3jVufSZFvnLMegDO3ZW/NIufsh3/NHP6yOBHBgWMaEhHEolEUg+ICaGCxntz32VbLAQA7Mnji7+XJW6vR1Mihstdsr1lSJfozxsUKyt2Cin51e/EkwaaVFMl8/OwUPmfwxOEgraLIoJiBUqygufeY0FjI4b+NjqDyhpvev7E4/ss66vP90po+gLmmNDn6YgZhDwO+ApC2Q7R/kCQhDKpxnh86+mId5iYeUz420z0HCZmLqINABSpvmgeGmXPjrY/dxS+/onnVGZD/gIaSnuboR8AHLcdevnEk+mOi4byYcDf5n5GEcya4hUu4VoW7JNIJJJaokOmira9onU3AHiz36CCJyGpRudlSAn+IhvSXZc+LBf1bWtZS4V9d0XWuFQsYJuN33bPgYAC7+4ROm8k8+jYjB13qVOfC+7fvd9v81amEZlPlE89OW5/tRxP6e9CpI4rXkwoEuiw16jIWZgrFe2HEROKnTUPiWdb/gQI8WUrqIAHqdDnqcCHgTFizsSEvgjERU/tMzERwbNf0gzqUzrnO8uqzQ3/OySqO0yJfl1P+wFAmbdExAIAbC79w8JXvBP/CQnkD3lfNbwXiUQiqTNCxoS/481+TbTuFh0H6eA6DK8TMFg8ou/l5DAn4qq31+iG541FukR/keNl3KUXbQgF2WJVu/Thh+27KrKfOpF5xmbI9x7tpbp9fpviB1O1ed7dj/ltzzYFTsgLT9eueOOn0e+NXWvZ5Jzm7Td4aFUjXNECwBz2FHBZbyAmEACw8xggCruzvJnPAMGSxtGUcRRiI893TKrp4Ge5gnlixVZC1w+wwKWNR6SKCp9WQ+gIKXt1VnRr38Ch9VUi5DG+hVVFS7OcGW/Gf7SqaFkvff8QNnxMyLgf8+cXuHNDZOHXpC+JRCKpPdI4gite6Dn9ABM7D+oyW+byE85P99p8y5wInCDevqzU97aNkV5yj+Hax9qkEMY3912ItWvXjho1yu1217uFXXmebw47fMtpJq7UKfYIqywjo2NR1RAM0SGkDT3kzXV7RZzSS9lrfpskGQsC/q/Vv15RhGA2s7Xs3tHheU+k5seVunfbn3K/+PjLT3zwwQcIIQDAXIn7SA+CDRfcmYqOp4SKv73p4wn9EABg4xaJ9v182S9C+RrEBJL6QaR+0Lnr9qJrbyQQpLxTJpf7Ppf/KdvqZ1J3Z22+V+ncH0SHUzOorzy5VQPvzVdwpl8Lf9xv+W9U8CM9Df1ZQjbt1FMsks1oObchzUoupFAoysvL5fJbam7f1NTUvXv3tmnTpkuXLikpKcuWLXM6nSNGjBg0aFD9Gmz4711yaxAdx/ii+Uxs/S8l/pnpXp/u+uKuphlk1zi/d+kSPXgEXOEWfS8RAwaoeuvkzh/9EEoy7o/2bIzCdZe+z/y2STIWAIBEHTZ1VJXy2gzP0dfD5nYkVff4B+zVC5PVFZT1o48+GjNmzEGL9aMKK3afJTTdsOgG0ek5/YAnYzKQBtG8iVC2wbyJUHVioj6SdzzJRH0MosuTNs51KMl79kXBtJ6O/gzzFm/Ou1zBXKRoWcvsDgDGyQ8qu7Uz/7Qm/7mZ9n/2NORP5MXelIqdw4MeOOM4sal0DQBMjHi50JO737K7Ic1Kbm1Lly5NTk6eOXPmXXfdNWvWrGHDhuXn5ysUirFjx3733XdNHZ3k5kYoExuS3ZsJ6RI9IARKpvIEl3YDAsAAKgYBgIy66ACIUJLxGztcONm7YOWznkg13BdoWVc2fmT6iUFa527Lgv+FPvwe8cdHG+5/Z+QfqSeOFpdEyWTPw5+ibS8WPYgOEiw7ABFA6RAdzuW+T+qHIMp3aYgg1F0JdVc64l3RdVqs+JsvWSLaUoBg+YJ5AIiN/boO34umVP26q/p1d5/M8GblNeRPND/rY5ZgWELeWpUMAP+Ubz5pP0oh5vu8LztouhFIOkyU1GDGjBnz5s2bPHlyYWFhXFzcc889N2vWLAAYMmTI1KlTH3/88aYOUCK5xUkJHtoYmYfbVC6vTnMWOTwyEh5uo4Rzaf4Kyn8q5Iq98Rs7uqc6T9+xv/VaHL+xw3CN+N9BR9zvnu8OHHhDwILLlTLs3l9emzKiNcGEvcgXLwVKTai6ic5UQt2TUPdARItLWybkLQl5Syr4acCcYFrvSRuHmADPyWFAGUhVZ0LViVC1IxRtoRYFamQJsbKEyqlm3cfPlC/4Wdmzo7J3ZzrIHwBz2e9gwXbpXog20OFv+ZZNXKlH9CzL//bCDUQseDFyi86zzvQQWbhvRJ5EUiU3N3fYsGEAEBwc3KpVq379+vnWd+rUKTc3t0lDk0iAJoAkbvF6HlKChwAFMSi2Mk0eLfVuz/ZmVAhdQxg/+dVPTP2fCnPut2aMORqzPCk5r7cny2X+reQg7+qzzTH9+4gCGa1FKGTe3NUnT8547GNldImxAAAgAElEQVTTW4ZHhq6WyUNJv6FCxRYq6Cm+cB6m/j7RZYfxiZCwD+Jr7gPRpN8wGRtGKJMBUaLrjGjbK9oP8qU/ia7ThCyGUCYTirZI0YZQJp67EnBZsrbx/lMftf+zt+jNz0it2vj0g6JrD6IMpH7AhZsJpg0X1t37KGEBj/lLWyOAkJOKM44TS/O/ndXqC6n6jeRCLVu2/OWXX6ZOnQoAW7ZsUSqVvvVbt25t06bNFXeVSK672yNlXUMaOmvXDU4aZHeR7446/rfHPipBpqSJl7uqa7MLFnD2kyd4MxezPAl7xFO99nkLPe+vij4VxfCAw0jy1wD/vUPX6v9Rfsp/OeXb7W7ZgC6R2wllMiLVgqPXmQFJlJHmirz+T4WFfXiZHH/Zvr2i84ToOCo6j4vOVOw8AYglFAlI3tJ3AQDJ4xFtvMy+2JOWRQcHAJHuOXU/Fr8HpJS1jSdkLOYt7iNd2FY/E8p2V+mf4wAA0ZVzzrpF16snJ/X1GzAs6IG6fRHJrTjIbuvWrSNHjgwICNi+fXtwcDAAVFRUPPLII1u2bFmxYsU999xzhX3tdvvo0aO5Sx4JKSsrO3bsGM/XcLgpkdxEGuf3Lp3BXyRGT4aoiQntVK9ut9RyF0SiyAWtzz52/OzDxzT9DdgrkI8GlWsIlYmLC1Yc93BLnzl623G9SPBPy8f/Odc29q0/v/rVMHBI22jZjrShT7FxipbbOpuWFea+cBrzOPyTlnUIFzGEst2FaRh7C0TXKew8JTqO8GUrsCsNACNZC0Ieh2RxhDwGsTGELAZIJSDExkcDAEAyqevPl/xg+6t12dwfmMhQZd/9bMygK2d3Lq+odO73XE4hIKAjQ/2nPEqHBsoI+YyWc01cGQDkurO2lf15u3FguCyqDt9Icgvp169fRkZGSkqKWn3+WLlTp04zZsxo1+4qx45KpfLVV1/1eqtXncrKynrvvfeufawSya1IOoO/iNkt7sj13BtX56MqzOOzjx137reGbWh/J2vVWYWPB2ceGWlwV3CtNlU4Itj+PySnDz/sKnby055ffyp97B1K/PUrzrJOHfb2JWQEAJQtzs994bTxidC65firBsaVYXe66ErD7gzRnYHdmaI7E5EaJIshZFGIjRJsKQh40baP0PUDUAiWYhBSSMNAggmhoz6w/L6JNOiYmHA6NKiqMq7ocudNehsIQnN3b8DYunEnwmLo/BmE/PyAAI/o3lH+lz8b1E7TOduVUeQpaK/pyhDMNfxqt5hb7wz+Uv3799+yZUtDWjhx4sSoUaNSU1OvVUgSSZOQzuCbgF5GVGX3Y6VcnJ6SUbW6r4woFP1DW9EpeFRkeLFjXpx/4H/+9MADnnSXKZj+bXHMoFhF/F+dzty5Hy1965W5zzj3t/03xTjWdXe3Ad1ffvnlwYMHG8eFik4x7/UzZDtVyMOhFzZuE0U1Uc+R6og2ItpYbSYG7C3A7rOiJwu7z4rWfwAQYCyYNwLQgAVAtGDeJIBI+t1LahyuI3mW3zfz5WZFp0T/5x8HAPuW3djrDV84m1DIAUAzpF/uk6/bt6VoBvWt6oIlZHf6V16DFbCwt+JfDaVNUCXlurIwiFVVdCTNyu7d0nOVEknjkRL8ZS1LdUZoyUntVbXcHpGIVFMKgN+D/AHAVezyprlkLeSBkbIpg9OKJ7k1U8Lj/+p0oKdQ9MEUwdY6QqaKl8Xt2LEj8+FHlFOfnxAeMXBrL0SgaX6eEQ7ncGVlMdqfHc6vrbZtwYHX8KshJgQxIQTcBoD5wi+x6EaUBgs23yA5hACLXoQob84M0i9P2a1E1cuAqBCAQm92GsGE8yWpVEBZ0VuvUvpoMjBY3i6BDvL3nMqECxL8hWIU8c9GveZbPutK+7t0/eSoV4LYkLPONA2l82P8r+FXk0gkEomPlOAv67nOqpNlDRjLQwAgEBx8y7kJgo03rSgam1vy8OsFkRa+4t8eW/YkDh2TvqTgy9mr1UcT/bI/+pjJfdxGmn7rtKksesJ7ZgsGGKFUrHQ4PzBb2rPX78o2okJf5PL/R2puJ42jPGceYlv9whUvwpZtVNgbdMgUAAAsYK4Ee3KxNx97C0VvLh1xhjTkMGEk5ktBVAJnUHTlSX2050yWdd1RRAUgeSipDGfbdJYnJ/q6wYLou8Lf23Bnb0NlrZ7D1n2x+bPkwCNAPOYIIAhEnvvrkWz88stNwyO5Sc2fP7+pQ5BImhHpHvx1VPZdfv7bGYSCaLm5ExMpqzhiTRtwENyiOV42bWnE86ucUQuL6QpevaWddeJ++ih+3v3WLn4vksmiV/4qb922k9N+RGdIZOhv/f3Yq9WaLZiRoequ09xZ94fRRbfzUDLwZbLkFOzOQUyo+9htQPkr2h8BouZnSPiS8vwp78mSW+ruuxvEcuumP/jCE37j+yHWJtrzREcO9pZgsRSRVkRrEWUEbHAdLhI5JRb0iPBj45IVXfogOgBzSvfRQYDOILZfHhQ6wJGgSsYAdts+ubdA0fEookNrDOCW1BzuwTecdA9ecmuQ7sHfED7aY5ORaEon1ahVZffEyR9pq6z9vsbHQwGg4O30MwMOhH/SMmfSCYZEQUsTU3vL/YttBZkOvQKFForeHgdlBOE/MXz5iJ9/TVm1bNmyA6Pui/l7y57wKP5shmXe3B/uvHPgwIHh4Zed2SXryRPmFYVFJGrxc5JmwGWei7scQsZGf+RJf8pz+lF58m73kc4IMUzMnMtldwCgAvz8Jo41Lfy5+NR8AABBMDz5ChPb5dItMVeGuVLMFVNhJdheIDryRHchIrd4M3/DXBn2lgNwAFh0/xWCEUKkwOUDIIXoBgDTomkeZ9y61kXxus59u40DAKHCav9nL6GQI4ZGDM1Gh1NBRgAAUeRLTQCAFDJEEIRcBvUdsiCRSCS3DOkM/irMbvG+VeVPJCv/t8fWN4L5tH8NMxOUOMUAxWUzSunCvMJ3MwSbQCjJ6O/aau7yA4AJpeW7PR4RwxAHNW58lquzGnE4OFmj7qI93W+/y5/49UH9gduY21fZC/ZsLjy03YwtujB9m65tE+9q1/vO3hEREVXt5zx9svynwqgf21rWlZp/KY5emqgbUue72u7jd4r2g2TAw0LJj4S6i6zNxqvuItjsnlNnAYBtFU2qaztSoRpPxlSh7EcAkg58EosOLNhF217w5mFEIjIWixZRNAECkjaKpCbba2I82gBLMPYyFiC0xtaqtl0QpecKXaaFG0U3K9i8IGLN4L660YMAwJOWVTzzK0RTiGUAQH1XT+29dwCA92yeeckqXwCIYRQ9Oqh6dwYALr/Yum5rVWzyjm0VnRIBgC812TbtBAAgCEIhY1vG+CoDCmaL/Z99AJhQKgCAjY1gYsJ9fxlnypGqdth4fzqIAQDR6facyZS1jUcU5esbMSFVm0ln8LUhncFLbg2N83uXEvzV5ViFMWvKTS7xtnB60cDq18CLnUK/ZaWp44Mu3dEjYABgSVS6MC/v1bTYZUlV2T3F4/05wFgmipPKyu9TKhIZZonNUSAIbRhaxokZZ51hOuZ//vrvvkzzlnLGw+nCsRy5IFOBci2/6ah44lvZpxzF5/YtjbCG0HuBjZZTfjShplwnHUKxJ+DZCMODwUUfnCXU1OpeMlesfOxPFQBAKElMozUOZ2uG7nx3EBspK12cDwDau/zokEyhaBAQXiyyzqM/ic44AFD11NEhrPmX4mrLF1L10DHhMtPPRQCg6q1nQljTiqLq2/TUMWEy3/oLlwEAIa+ySz9EuDEaykR8Zf4tVdXpLkBA6WeZ199duQ3hQXQFUBZItpJ6Cxwwc0TJWeMBg5YMKlWIpIknS1naQ9B2AECEDtE63qTAnJryMyKZxn2SEL1K4FSA9BhrQVDLE4Owx23ZCFhg5G1JRXKAdRsPGLCX8+YUAAYAkLclFB2C7SkUYFC0o7nsE7ZdACLGHE8F+dPB/r5tvGmH7Xso7OHYWK+qZ6zrtAEwCDaH50RlHUA21qsdPAMR+SDSgACwCBQJAIAwiB621UpSd4dvSynB14aU4CW3BukS/Y0iQkPOu1M3Zk15jZ/mWgQ3X/NB0uSNFRQJ39yt9x8fZrg/iFRTAPCGqWKPx/M20iUwNADM9fObUl4eT9Org/wrRPGYl3uh3ERFsWkIDeMtf7zTZlKpKZsPmaZR2TIyjqaklP/Fnd2a26niThVSvrzxmSgq8GPumzKLuVVAq1bG+KiHo0K3+RV/mavsqtWNCBRtfI9W8imkTRdP3KdQ8g7hO5PNpSKGaOSIRYgmKD0NGIBAiG7jzR9Ih23w5g7xFkQBcAAgOgQQQLDwGGPBLtA89i1f+B0FhyB6RL6CAwDBwot+dA3bWHnRJVRuc8EyAAAgZ+rzysRZCFaLjldkLZ7HgAAHYOZhvqLg3DYEgAHAoI7Vs/7yslMFANC69yusQV62toDDXJ4rS0mqA9ggi1i4OXZp5zZJLVIDOKLMTGQHB2sRZ0G0mVDkAGUnKDuibYCdhMKuG2oFQAipMadVtGYxpxYFpSxOKXJKEORMuD+p9iPkHBbkgAIUPfy9JQ7Mq7DAYl5dGT+hV9/d31NcAACq3no2Wm5L8cXMMC1b+0JX9dYT9JtYFEVBiWjSV/MAAICrwAAA5wYVSiQSybUmncFfyX2ry3Otgm+5zCkyFFbTJCBAAKNayl/qqgaA/YXe+9eUZ0wMvnT3Xj+VUATaNvaiC+YnvJyKQP0Wle180D9YRQLAEa83gCSDycr/1y+zO+5TKhiE3BjLEHJj/Gp5BYmgWBCKBaFEEJUIKXmuoAx9c/dRt+B6dMwODwmizSra7aLLFV0iW3hq4j9+h7e12RYfHx8eH48T2nwXG9uPZTNFsVgQ/gwONNZ0ixpzZZ4zD7EtlyOqsSdIdh/ujD05iA4QvQWAkCxhHaHpdvXdauIVvQDAEEyJt+jv0nWtVIkdtF2PWvd/nf3J/SGP9/G7K9eVddCa0knbI1QWwQt2p7dIjQALNsxbQLBhwQaCHQt2EGxYsJxbdmDBigUbiA4QnFiwAqlEhBIIBaK0QCgQqQBSjQglEHJEqoBUIUIGpBIRaiBYvvQnwbyJYKNIv6GYoBGhwoKDz/8EEJJ3OF1VS1g6g68N6QxecmuQzuCbXqSWJM4dAJmcgoJEDIEtHhynp0JU9RzG1ZqhAQBjbD93EpvMXPQU3FhV5Tg+GUK+f84xXpRxTaJYLogDd5fiP3v633Po939Hr1sRlGU3F9usypOuV99i02PFL6ZFZI/dsGHDhqj1f9JGf+Ty/AUIAJAo9knLlLucY/7eHBQUtKJrdzvDUBRFEASDkMy4BMp5HVG+0N8PACaWmcoEAQBIQMpz0y5pCeIzPz0AvFRuNolitW+nJ4hP/PQA8Eq5ueySTw0E8T8/PQBMM5lLhfOfhvp/Ni1vGOHNQ4ghNN3fFVpZy83V9lUiNNOgA4B3zBVWsfpRqQKhWQYdAMyyOK0iBnAAsCAbuY+HJeVmBWrxSetFJKLeMVeU8mwZn7DWgtUOs5krz3ZlxMoiFga3P2rdP90u6tlEDa11ky4Hb9codDSi5Qje0cllhOzCfhnRwWAXg5160TpZRWHB+Yu1SOAdtOhmBIdMNFHYzQguBbYl0RgEJwYkerLMJSsxIqhWqzVZzwAAFfriZWcKkEgkkgZr7ARvs9mWL19+/Pjx4uJinueDg4OTk5Pvv/9+jUbTyJHURucgJlBReWJ9pITXyIiBMfICmyCC+PZO61s7rVVbxn5d6FtgSNj9cJBedh3nVTMQhIEgsAVwAJNwoNvJjiljxpYkpHT1pDtOjd6vbK8euSGx3dnMU7//np6enrl2zdns7OzX3xL9/QmWsf75Z9Fr0zDPH3A4AIA0GAiVGgBYljUEBhpDQ/V6PalUvCCKBoMhKiIiweiv0WgUGjWt1qh8zhWsHadWWS5J4fJzxwGPqFW2y3/6kEplv+jTzjZLX411GwBmWiwYLMpNQvV9deeuOtyjUPgOOy6kPffpIIXcfMm+WoKQkywADFJgs8CCUncuoFDQhPr2baFMuE/IYCiFipQVespPuI62ZNuGySLzHEefS/3k8fBnBym67LOeSLUf6qTtEaqMLPYU5rnLY9UJhCrYwpsZVMJSwRSiMWDAWECEC4AhCFbGAkBOwbehOdMYQn4oYVcv/rhg24tIFRPy4uX/JUskEklDNeol+l27dg0cOLBFixY9evQwGo0AYDKZ9uzZc+bMmU2bNnXpUsNzVlfVaM/Bt/m2uFsY5Rtktyvf88IWi8UjCgKmSOQVsJ+c9D2pbvUKIFTOm8qJGADR50712wdRH/atPBfvu6zk+8F+UVrfeCsIU5N1PSKI/brwu0H63hEyb477ROc9dCDN5XsU7TXxmzvABZMciwD3FpUWCfyGQP/DRSXPY9y6vLzH9q05OTnFxcV5eXklJSV5eXl2u72W/apUKo1Go1ar1Wq1TqfTaDQKhUKhUOj1eplMJpfLtVoty7IqlUoul8tkMrVaTVGURqMhSdK3rFAoWLb6M3iYL3cfbEMGPsFEzqrjX6LxuARntiszTBapotQ5rrP7K3Z11vUMl0cdtKRsLv1jSOCotur228s3/pS/4OnIae21XXea/t5StmF0yGOtVW2t+1tRfKk16iNt3sfAlzHxS0jD4Asbly7R14Z0iV5ya7gFR9F37Njx0UcfnTJlSrX1S5Ys+fzzz/fu3VuPNhs3wdOLBl404XqxQ1h0xLHoqOPpjqoXOqtzrML4DSYHj2UUwgC5Vp4AFKYhAcAr4kKr8P/27j2oibPfA/iTzYVbgAQIkaAgYsBTiugpWpW+VQd7RMXq1Et1dPSgU9RxWuX0JsqccSz2Mh0ZHBXLtKXUKj1t1SMVPS++VDuK1da3tlgZqAoCFhIgIMg9m2TPH1tjhCBIZZ+8y/fzV3bz5MmXZy+/7Cbs2m+YznHE8dI178/0XTrB89EB2s3cqm+bzPePTm80s6O9pZ5yhhCiMpnf2HXTO1oZUfhQdSeEbDQ1/9JtLtQF8kfAP/WY1zWatqt87V8E8Lq6uhobGw0Gg8lkanJgMplaWlru3r179+5d/sGTWmFkMhl/kzGlUimXyxmGeVrvYWiSW22MSvXnETb/gcCxMU+tfvCdBf8xwrFnX19f5uEfGfR6uSPHrpzq29uAVCqVRCIhhLAc28TV+0k0ColbT8/FkNYtEglDOBvjoXeP+bHXq1DgBwMFHsRBhN/BV1RULFq0qO/8xYsXb9my5dGv7e7uTk9P73sf6Fu3bln7nLAdDqN9mIma3peM1XpJ/yPM/dNrHf81xZsQonZnVj/tOU4le26027UGdtn/mqwcV9Nq8VYw62O83KTkTqv1bE3P0xr5mdvdL473KG9iCSESCfmuusdTzswPd69oseRc65gd4jZnrPvtFssn1zrs7zU1yM3QYTVbbT1WImMIIaSpy9rQYSUSQhTM/o+eWj3JO4KRVLVaPi3pmBXqFh/qXtVq8b4hnWVx+7CyzU0qeX6M26wQt8+9AgpLu74P6pkV4lbdavmqvOv+O6inBmkXPPvnzDlBij4NyNQgxb+resoM945XWMIVbeNIfWVzz8V2f5Zlu7u7LRaLur3aw/BrC/G64zdZbiyV3/nnXc6zK+IF/hNYT08PW3ml5er/cb467+dWdd+83Hn9u3aZr3fsSkLIeUJIMOm+ebmzqEiuGWtvwD8m9z/COc58qAGxN/jHQA0G7GFYGpw+oJsxppbjJIqIQ4+/AgIAPB5BC/ysWbO2bduWmZmp1T64dUpTU1Nqaurzzz//6NfKZDKtVtvZ2dlrfnBw8IAHYU/EqijP2FFOrgnveCDurZDYL3U3MVAe6CWVMZKilZp2s81DJlFIJRYbWdzI6pTMmdvd/zlRWddmsf9cLMJPRgjx92AmauQ6pZQQonJnojVycr9BuEr601ptU5ftH7e7ozTyxcdM789StZsfHE8HekkJIV5yJipAHugpJYR4K5hnVHL+2R4rp3JnCCEhbjKNm4x/7Cln1G6M7f5BuePM/hr4+PiMkynHd3VN0QVPCoxu7LRJbnTZGzwbPGdSoLyx03biRtcU3cv2xw4N3PiZx8rao1SWp/0k1ab2wjvEarPxHwImKJcFWhpbLbIf21Q6bmawZEObTfHPTv+e+7cGHz13omfLC50Sj1uK8FFx47zbnmthpdVeE+wD4TnOw3tGeI9MafSLUI11850R3inxqFGOsTfw9jd7/Zsfq/BpHjXGJje5j5JY3VXtQQH2Bu7y8faZFnMQ4/aMzUPNqrzsDWRjtLL7M6UOj/kG3d3dnMqTjBtHvPyJQkLuP/7vwri/Jx2qujdposeTvCMwAIBTgp6ib2hoSEpKKiwsDAsL8/f3l0gkzc3NlZWV8fHxeXl5fn5+A3fRB/VTdo2dtjn/01CyzsmFbpz+mxwv/CPD318O1KuH/m/Q9u/gh9wDCM9276LEa6JE6uT7ApyiHwzq2zvAEyHCU/SBgYGnTp2qrq4uLS01GAwcx2m12piYGMcLr/7L0XgyTqs7IWRasJuivx/PSYgcl0sfeRifONoRAGCkoPB/8KGhoaGhocK/r/A+nO3b31MrJniM8flLVzHzkjNhvvK/0gMAAIgYLnRDx+6ZqoEbPdK19dqBGwEAwEiF08QAAAAihAIPAAAgQijwAAAAIoQCDwAAIEIo8AAAACL0L/8reqlUWllZGRsb2/cpk8lkMBj4i5m7CI7jLBaLXO5C/97GcRzLsgqFk4v0UWQ2m10tEsuyUVFRUulf+ufGRzCbzY970fsRyMW3d5ZlpVIp3eVIfdux2Ww2mw0LwmKxREdH9/esMNu7oFeyGw4cx5WUlDi9HP3x48eLi4tfeeUV4VP1p7S09OTJk9u2baMd5AGj0bhnz54PP/yQdpAHWJbdsGFDTk4O7SAP2bx587Fjx4bvusgeHh5PPfXUMHUuGi6+ve/Zsyc+Pn7SpEm0ApjN5k2bNn366ae0AhBCLly4UFZWlpycTDFDRkbG7NmzJ0+eTCsAy7IbN2784Ycf+msg0PbOiVdOTk5SUhLtFA8pKiqKj4+nneIhv//+e0REBO0UD+nq6nJ3d6edojeNRtPQ0EA7BfTLFbb3BQsWFBQUUAzQ0dHh6elJMQDHcbm5uWvXrqWbITEx8eTJkxQDdHZ2enh4UAzAwylBAAAAEUKBBwAAECEUeAAAABFCgQcAABAhFHgAAAAREnOBl8lkw/dfy0PjmpFc6lIBhBCGYVzqUgE8FxwocOQKG5dUKqW7krjCtoMFQVxjQRAR/B/8I/T09LS3t/v7+9MO8oDNZmtoaBg1ahTtIA+pq6vT6XS0UzwEkeBxucL2Xl9fHxAQQLe8UV9RzWbzvXv3AgICKGbAguCJucADAACMWGI+RQ8AADBiocADAACIEAo8AACACKHAAwAAiBAKPAAAgAihwAMAAIgQCjwAAIAIocADAACIkGgLfENDw0svvaRWq5955pmLFy/SirFu3TqJg/z8fLrZysrK8vLy7JNOkwgcr1ckuiNWWVmZkJCgVqtDQkLS09P5ma4wSvBotBbH4FeY4VZTU3P79m0qAaxW65tvvhkSEhIcHLxv3z4qGX799deZM2cqlcoJEyYcOXJE4AwuuF/libbAJyUlKRSKX375Zc2aNfPmzWtra6MSo6KiYu/eveX3xcfHU8xmtVp37dp14cIF+xynSYSM1zcSxREzm80zZ84MDQ397bffPv/888zMzJycnP7e3UVWMOBRWRyPtcIMq46Ojvj4+EOHDvGTAgdISUm5ePFiYWHhvn37Xn/99eLiYoEzWCyWxMTEqKiokpKS7du3r1279urVq4JlcMH96gOcGFVVVUmlUqPRyE9Onjw5OzubShKdTnft2jXHObSy7d69m78G/saNGx+RRMh4fSNxVEfs/Pnz3t7eZrOZn0xLS1u4cCH1UYIB0Vocg19hhjvJ+vXr3dzcdu7cyQk+Gh0dHUql8vr16/zke++999VXXwmcobKykhBSU1PDT0ZHR2dlZQmTwQX3q47EeQRfWloaFham1Wr5yRkzZly/fl34GJ2dnXV1dampqT4+Pnq9Pjs7m2K2NWvWFBUVrV692j7HaRIh4/WNRHfERo0alZmZab8HVHNzM8Mw1EcJBkRrcQx+hRnWGMePHy8rK5s3bx4/KXCAS5cu+fr6RkVFcRxHCNm2bdvy5csFzhAaGhoeHp6VldXS0nL69Olbt27FxcUJk8EF96uOxFngDQaD402lAgIC6uvrhY9RUVHBMMzcuXPLy8t3796dkpJy+vRpWtlGjx4dFRXleIsnp0mEjNc3Et0R0+v169at4x+fO3fu8OHDycnJ1EcJBkRrcQx+hRm+DLW1tSkpKYcOHbLfHVXgAPx92zZv3uzn56fRaFJTU202m8AZGIb58ssvP/jgA7VavWDBgrS0tIkTJwqTwQX3q47EWeA5jpNIJI5zLBaL8DGio6PNZvOrr76q0+mWL1+elJT0xRdfuEg20s8o0Y3nCiPW1dX11ltvLVy4MCcnZ/78+S44StAL3cUxmBVmmN6a47i1a9empaWFh4c7zhRyNFpaWkpKStRqdVVVVVFRUW5ublZWlsAZjEbj4sWLP/7447a2tuLi4oMHD546dYrWWuFSewxxFnitVtvc3GyfbG5uDgoKopLE8YbEEyZMMBgMrpPNaRLq8eiOWEVFRWxs7NWrV3/++eclS5YQVx0lcERxcQxyhRmmd9+3b59EIlm5cmVHR4fFYjGbzZ2dnQKPhp+fn1arTU9P9/X1jYmJWblyZUFBgcAZCgoKxo0bt379eqVSGRcXt2HDhtzcXFprhUvtMcRZ4GNiYiorK5uamvjJH3/8MSYmRvgYeXl5q1atsk9WVFSEh4e7SDbSzyjRjUd3xFiWnTdvXkJCwpkzZyIjI/mZLjhK0AutxTH4FWaYAoTLCZQAAAZRSURBVFy5cqWoqMjb21upVJ44ceLdd9+NjIwUeDQiIiJYlrVarfykSqXy9PQUOIPZbLbZbPZJjuNYlqW1VrjWHkOAH/JRMXfu3OTk5La2tsOHD6tUqpaWFuEzlJaWSqXS9957r7a2Nj8/38fH58qVK3Szbd261fEn606TCBzPMRLdETt+/Lifn195efmt++rq6vp7d1dYwcCOyuJ4rBVmuC1dupT/Fb3wAaZPn/7aa68Zjcbvv/9eo9EcPXpU4AxVVVVKpXL//v0mk+ns2bOBgYF5eXlCZnDB/SpPtAW+qanpxRdfVKlUsbGxly9fphXj7Nmzzz77rFKpjImJ+fbbb6ln67UiOk0icLxekSiO2M6dO3t9/E1MTOzv3V1kBQMelcXxWCvMcHMs8AIHMBqNiYmJvr6+er3+o48+opLh/Pnz06ZN8/Ly0uv1Bw4cEDiDC+5XeRKO44Q4UQAAAAACEud38AAAACMcCjwAAIAIocADAACIEAo8AACACKHAAwAAiBAKPAAAgAihwAMAAIgQCjwAAIAIocADAACIEAo8AACACKHAAwAAiBAKPAAAgAihwAMAAIgQCjwAAIAIocADAACIEAo8AACACKHAAwAAiBAKPAAAgAihwAMAAIgQCjwAAIAIocADAACIEAr8yPXCCy9I+tDr9dXV1XK5nHY6ABisKVOm2Ddhb2/vOXPmlJWVDaGf1NTUlJSUJ7sH4Pt8Ur3BY0GBH7m+/vpro9FoNBo3bdqUkJDAP7506ZK/v/+BAwdopwOAx7Br1y5+Ey4uLu7u7l62bNmQuxpwDzB16tSrV68OuX8QjIx2AKBGrVbzD7y8vNzd3bVarf2p5ORkSqEAYCh8fHz4TVir1e7YsWP+/PkGgyEoKIh/luM4lmUVCsVgulIqlY/eAzQ2NrIs+9czw3DDETz0Zj9B19TUpFKptm/f7uvrq9PpDh48mJ2dPXbsWLVa/f777/ONKyoqEhISVCpVXFzc4cOHqQYHgAdYlq2vr1er1WfOnAkLC7t06ZLTrbWgoCA6OlqtVi9duvTu3bvEYQ9ACLl8+fK0adN8fHymT59+5coVQsisWbPu3Lkzf/78Y8eOkX72AH37BDo4GPHeeOONxYsX2yerqqpkMhnHcSaTiRCyevXq2trajIwMQsiKFStaW1uzsrIYhmlvb+/u7g4LC0tLS2toaDh37lxQUNDp06fp/R0AI1RsbGx6errJZDKZTKWlpX/729/0er3NZjMajQqFIikpyWg0Ot1ay8vLFQpFdnZ2bW3t/v37JRLJ1q1b7XuA+vp6Hx+fTz75pK6u7p133tFoNCzLchw3duzYy5cvcxw3+D4pD9BIhQIPAxT4O3fucBzHfwwvKSnhOI4/O/fHH3+cOHFCp9OZzWb+hbt27Vq0aBGNvwBgRIuNjbUfs8nl8unTp1+7do3jOKPRSAi5ceMGx3FOt9a0tDTHbX/27NmOBT4zMzM+Pp5/ymq1Hjx40GQycQ4FfvB9CjAI0Be+g4cBaDQaQgh/yi44OJgQIpP9udpUVlY2NTWFhITYGzvuaABAMJmZmVu2bHH6VGhoKOlna62trY2MjLTPiY6OdnxhdXW1Xq/nHzMMs3Hjxl49D6FPEBIKPAxdUFBQbGxscXExP1lTU2OxWOhGAoBepFIp6Wdrzc3NvX79ur1ldXV1WFiYfTI4OPi7777jH3Mct3PnzjVr1oSHh9sbDKFPEBJ+ZAdDl5CQcPPmzYyMDJPJVFxcPHXq1J9++ol2KABwwunWumrVqlOnTn322WeNjY25ubmFhYWOL1m2bNn58+ePHDliMpn27Nmzd+9ef39//qnW1tah9QlCQoGHoVOpVIWFhfn5+WFhYatXr3777bdXrFhBOxQAOOF0a42MjDx69GhGRsb48eNPnDixY8cOx5eEhIScPHkyIyMjNDQ0Ly8vPz9fpVIRQl5++eUlS5Z88803Q+gThCThOI52BgAAAHjCcAQPAAAgQijwAAAAIoQCDwAAIEIo8AAAACKEAg8AACBCKPAAAAAihAIPAAAgQijwAAAAIoQCDwAAIEIo8AAAACKEAg8AACBCKPAAAAAihAIPAAAgQijwAAAAIoQCDwAAIEIo8AAAACKEAg8AACBCKPAAAAAihAIPAAAgQijwAAAAIvT/a4o/Z+xlbDIAAAAASUVORK5CYII=" /><!-- --></p>
+<p>While this is visually much more satisfactory, such an average procedure could introduce a bias, as not all results from the individual fits enter the population curve with the same weight. This is where nonlinear mixed-effects models can help out by treating all datasets with equally by fitting a parameter distribution model together with the degradation model and the error model (see below).</p>
+<p>The remaining trend of the residuals to be higher for higher predicted residues is reduced by using the two-component error model:</p>
+<pre class="r"><code>plot(mixed(f_parent_mkin_tc[&quot;DFOP&quot;, ]), test_log_parms = TRUE)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+</div>
+<div id="nonlinear-mixed-effects-models" class="section level2">
+<h2>Nonlinear mixed-effects models</h2>
+<p>Instead of taking a model selection decision for each of the individual fits, we fit nonlinear mixed-effects models (using different fitting algorithms as implemented in different packages) and do model selection using all available data at the same time. In order to make sure that these decisions are not unduly influenced by the type of algorithm used, by implementation details or by the use of wrong control parameters, we compare the model selection results obtained with different R packages, with different algorithms and checking control parameters.</p>
+<div id="nlme" class="section level3">
+<h3>nlme</h3>
+<p>The nlme package was the first R extension providing facilities to fit nonlinear mixed-effects models. We would like to do model selection from all four combinations of degradation models and error models based on the AIC. However, fitting the DFOP model with constant variance and using default control parameters results in an error, signalling that the maximum number of 50 iterations was reached, potentially indicating overparameterisation. Nevertheless, the algorithm converges when the two-component error model is used in combination with the DFOP model. This can be explained by the fact that the smaller residues observed at later sampling times get more weight when using the two-component error model which will counteract the tendency of the algorithm to try parameter combinations unsuitable for fitting these data.</p>
+<pre class="r"><code>library(nlme)
+f_parent_nlme_sfo_const &lt;- nlme(f_parent_mkin_const[&quot;SFO&quot;, ])
+# f_parent_nlme_dfop_const &lt;- nlme(f_parent_mkin_const[&quot;DFOP&quot;, ])
+f_parent_nlme_sfo_tc &lt;- nlme(f_parent_mkin_tc[&quot;SFO&quot;, ])
+f_parent_nlme_dfop_tc &lt;- nlme(f_parent_mkin_tc[&quot;DFOP&quot;, ])</code></pre>
+<p>Note that a certain degree of overparameterisation is also indicated by a warning obtained when fitting DFOP with the two-component error model (‘false convergence’ in the ‘LME step’ in iteration 3). However, as this warning does not occur in later iterations, and specifically not in the last of the 6 iterations, we can ignore this warning.</p>
+<p>The model comparison function of the nlme package can directly be applied to these fits showing a much lower AIC for the DFOP model fitted with the two-component error model. Also, the likelihood ratio test indicates that this difference is significant as the p-value is below 0.0001.</p>
+<pre class="r"><code>anova(
+  f_parent_nlme_sfo_const, f_parent_nlme_sfo_tc, f_parent_nlme_dfop_tc
+)</code></pre>
+<pre><code>                        Model df    AIC    BIC  logLik   Test L.Ratio p-value
+f_parent_nlme_sfo_const     1  5 796.60 811.82 -393.30                       
+f_parent_nlme_sfo_tc        2  6 798.60 816.86 -393.30 1 vs 2    0.00   0.998
+f_parent_nlme_dfop_tc       3 10 671.91 702.34 -325.96 2 vs 3  134.69  &lt;.0001</code></pre>
+<p>In addition to these fits, attempts were also made to include correlations between random effects by using the log Cholesky parameterisation of the matrix specifying them. The code used for these attempts can be made visible below.</p>
+<pre class="r"><code>f_parent_nlme_sfo_const_logchol &lt;- nlme(f_parent_mkin_const[&quot;SFO&quot;, ],
+  random = nlme::pdLogChol(list(DMTA_0 ~ 1, log_k_DMTA ~ 1)))
+anova(f_parent_nlme_sfo_const, f_parent_nlme_sfo_const_logchol)
+f_parent_nlme_sfo_tc_logchol &lt;- nlme(f_parent_mkin_tc[&quot;SFO&quot;, ],
+  random = nlme::pdLogChol(list(DMTA_0 ~ 1, log_k_DMTA ~ 1)))
+anova(f_parent_nlme_sfo_tc, f_parent_nlme_sfo_tc_logchol)
+f_parent_nlme_dfop_tc_logchol &lt;- nlme(f_parent_mkin_const[&quot;DFOP&quot;, ],
+  random = nlme::pdLogChol(list(DMTA_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1)))
+anova(f_parent_nlme_dfop_tc, f_parent_nlme_dfop_tc_logchol)</code></pre>
+<p>While the SFO variants converge fast, the additional parameters introduced by this lead to convergence warnings for the DFOP model. The model comparison clearly show that adding correlations between random effects does not improve the fits.</p>
+<p>The selected model (DFOP with two-component error) fitted to the data assuming no correlations between random effects is shown below.</p>
+<pre class="r"><code>plot(f_parent_nlme_dfop_tc)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+</div>
+<div id="saemix" class="section level3">
+<h3>saemix</h3>
+<p>The saemix package provided the first Open Source implementation of the Stochastic Approximation to the Expectation Maximisation (SAEM) algorithm. SAEM fits of degradation models can be conveniently performed using an interface to the saemix package available in current development versions of the mkin package.</p>
+<p>The corresponding SAEM fits of the four combinations of degradation and error models are fitted below. As there is no convergence criterion implemented in the saemix package, the convergence plots need to be manually checked for every fit. As we will compare the SAEM implementation of saemix to the results obtained using the nlmixr package later, we define control settings that work well for all the parent data fits shown in this vignette.</p>
+<pre class="r"><code>library(saemix)
+saemix_control &lt;- saemixControl(nbiter.saemix = c(800, 300), nb.chains = 15,
+    print = FALSE, save = FALSE, save.graphs = FALSE, displayProgress = FALSE)
+saemix_control_moreiter &lt;- saemixControl(nbiter.saemix = c(1600, 300), nb.chains = 15,
+    print = FALSE, save = FALSE, save.graphs = FALSE, displayProgress = FALSE)</code></pre>
+<p>The convergence plot for the SFO model using constant variance is shown below.</p>
+<pre class="r"><code>f_parent_saemix_sfo_const &lt;- mkin::saem(f_parent_mkin_const[&quot;SFO&quot;, ], quiet = TRUE,
+  control = saemix_control, transformations = &quot;saemix&quot;)
+plot(f_parent_saemix_sfo_const$so, plot.type = &quot;convergence&quot;)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>Obviously the default number of iterations is sufficient to reach convergence. This can also be said for the SFO fit using the two-component error model.</p>
+<pre class="r"><code>f_parent_saemix_sfo_tc &lt;- mkin::saem(f_parent_mkin_tc[&quot;SFO&quot;, ], quiet = TRUE,
+  control = saemix_control, transformations = &quot;saemix&quot;)
+plot(f_parent_saemix_sfo_tc$so, plot.type = &quot;convergence&quot;)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>When fitting the DFOP model with constant variance (see below), parameter convergence is not as unambiguous.</p>
+<pre class="r"><code>f_parent_saemix_dfop_const &lt;- mkin::saem(f_parent_mkin_const[&quot;DFOP&quot;, ], quiet = TRUE,
+  control = saemix_control, transformations = &quot;saemix&quot;)
+plot(f_parent_saemix_dfop_const$so, plot.type = &quot;convergence&quot;)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>This is improved when the DFOP model is fitted with the two-component error model. Convergence of the variance of k2 is enhanced, it remains more or less stable already after 200 iterations of the first phase.</p>
+<pre class="r"><code>f_parent_saemix_dfop_tc &lt;- mkin::saem(f_parent_mkin_tc[&quot;DFOP&quot;, ], quiet = TRUE,
+  control = saemix_control, transformations = &quot;saemix&quot;)
+plot(f_parent_saemix_dfop_tc$so, plot.type = &quot;convergence&quot;)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<pre class="r"><code># The last time I tried (2022-01-11) this gives an error in solve.default(omega.eta)
+# system is computationally singular: reciprocal condition number = 5e-17
+#f_parent_saemix_dfop_tc_10k &lt;- mkin::saem(f_parent_mkin_tc[&quot;DFOP&quot;, ], quiet = TRUE,
+#  control = saemix_control_10k, transformations = &quot;saemix&quot;)
+# Now we do not get a significant improvement by using twice the number of iterations
+f_parent_saemix_dfop_tc_moreiter &lt;- mkin::saem(f_parent_mkin_tc[&quot;DFOP&quot;, ], quiet = TRUE,
+  control = saemix_control_moreiter, transformations = &quot;saemix&quot;)
+#plot(f_parent_saemix_dfop_tc_moreiter$so, plot.type = &quot;convergence&quot;)</code></pre>
+<p>An alternative way to fit DFOP in combination with the two-component error model is to use the model formulation with transformed parameters as used per default in mkin.</p>
+<pre class="r"><code>f_parent_saemix_dfop_tc_mkin &lt;- mkin::saem(f_parent_mkin_tc[&quot;DFOP&quot;, ], quiet = TRUE,
+  control = saemix_control, transformations = &quot;mkin&quot;)
+plot(f_parent_saemix_dfop_tc_mkin$so, plot.type = &quot;convergence&quot;)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --> As the convergence plots do not clearly indicate that the algorithm has converged, we again use four times the number of iterations, which leads to almost satisfactory convergence (see below).</p>
+<pre class="r"><code>saemix_control_muchmoreiter &lt;- saemixControl(nbiter.saemix = c(3200, 300), nb.chains = 15,
+    print = FALSE, save = FALSE, save.graphs = FALSE, displayProgress = FALSE)
+f_parent_saemix_dfop_tc_mkin_muchmoreiter &lt;- mkin::saem(f_parent_mkin_tc[&quot;DFOP&quot;, ], quiet = TRUE,
+  control = saemix_control_muchmoreiter, transformations = &quot;mkin&quot;)
+plot(f_parent_saemix_dfop_tc_mkin_muchmoreiter$so, plot.type = &quot;convergence&quot;)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>The four combinations (SFO/const, SFO/tc, DFOP/const and DFOP/tc), including the variations of the DFOP/tc combination can be compared using the model comparison function of the saemix package:</p>
+<pre class="r"><code>AIC_parent_saemix &lt;- saemix::compare.saemix(
+  f_parent_saemix_sfo_const$so,
+  f_parent_saemix_sfo_tc$so,
+  f_parent_saemix_dfop_const$so,
+  f_parent_saemix_dfop_tc$so,
+  f_parent_saemix_dfop_tc_moreiter$so,
+  f_parent_saemix_dfop_tc_mkin$so,
+  f_parent_saemix_dfop_tc_mkin_muchmoreiter$so)</code></pre>
+<pre><code>Likelihoods calculated by importance sampling</code></pre>
+<pre class="r"><code>rownames(AIC_parent_saemix) &lt;- c(
+  &quot;SFO const&quot;, &quot;SFO tc&quot;, &quot;DFOP const&quot;, &quot;DFOP tc&quot;, &quot;DFOP tc more iterations&quot;,
+  &quot;DFOP tc mkintrans&quot;, &quot;DFOP tc mkintrans more iterations&quot;)
+print(AIC_parent_saemix)</code></pre>
+<pre><code>                                     AIC    BIC
+SFO const                         796.38 795.34
+SFO tc                            798.38 797.13
+DFOP const                        705.75 703.88
+DFOP tc                           665.65 663.57
+DFOP tc more iterations           665.88 663.80
+DFOP tc mkintrans                 674.02 671.94
+DFOP tc mkintrans more iterations 667.94 665.86</code></pre>
+<p>As in the case of nlme fits, the DFOP model fitted with two-component error (number 4) gives the lowest AIC. Using a much larger number of iterations does not significantly change the AIC. When the mkin transformations are used instead of the saemix transformations, we need four times the number of iterations to obtain a goodness of fit that almost as good as the result obtained with saemix transformations.</p>
+<p>In order to check the influence of the likelihood calculation algorithms implemented in saemix, the likelihood from Gaussian quadrature is added to the best fit, and the AIC values obtained from the three methods are compared.</p>
+<pre class="r"><code>f_parent_saemix_dfop_tc$so &lt;-
+  saemix::llgq.saemix(f_parent_saemix_dfop_tc$so)
+AIC_parent_saemix_methods &lt;- c(
+  is = AIC(f_parent_saemix_dfop_tc$so, method = &quot;is&quot;),
+  gq = AIC(f_parent_saemix_dfop_tc$so, method = &quot;gq&quot;),
+  lin = AIC(f_parent_saemix_dfop_tc$so, method = &quot;lin&quot;)
+)
+print(AIC_parent_saemix_methods)</code></pre>
+<pre><code>    is     gq    lin 
+665.65 665.68 665.11 </code></pre>
+<p>The AIC values based on importance sampling and Gaussian quadrature are very similar. Using linearisation is known to be less accurate, but still gives a similar value.</p>
+</div>
+<div id="nlmixr" class="section level3">
+<h3>nlmixr</h3>
+<p>In the last years, a lot of effort has been put into the nlmixr package which is designed for pharmacokinetics, where nonlinear mixed-effects models are routinely used, but which can also be used for related data like chemical degradation data. A current development branch of the mkin package provides an interface between mkin and nlmixr. Here, we check if we get equivalent results when using a refined version of the First Order Conditional Estimation (FOCE) algorithm used in nlme, namely the First Order Conditional Estimation with Interaction (FOCEI), and the SAEM algorithm as implemented in nlmixr.</p>
+<p>First, the focei algorithm is used for the four model combinations. A number of warnings are produced with unclear significance.</p>
+<pre class="r"><code>library(nlmixr)
+f_parent_nlmixr_focei_sfo_const &lt;- nlmixr(f_parent_mkin_const[&quot;SFO&quot;, ], est = &quot;focei&quot;)
+f_parent_nlmixr_focei_sfo_tc &lt;- nlmixr(f_parent_mkin_tc[&quot;SFO&quot;, ], est = &quot;focei&quot;)
+f_parent_nlmixr_focei_dfop_const &lt;- nlmixr(f_parent_mkin_const[&quot;DFOP&quot;, ], est = &quot;focei&quot;)
+f_parent_nlmixr_focei_dfop_tc&lt;- nlmixr(f_parent_mkin_tc[&quot;DFOP&quot;, ], est = &quot;focei&quot;)</code></pre>
+<pre class="r"><code>aic_nlmixr_focei &lt;- sapply(
+  list(f_parent_nlmixr_focei_sfo_const$nm, f_parent_nlmixr_focei_sfo_tc$nm,
+    f_parent_nlmixr_focei_dfop_const$nm, f_parent_nlmixr_focei_dfop_tc$nm),
+  AIC)</code></pre>
+<p>The AIC values are very close to the ones obtained with nlme which are repeated below for convenience.</p>
+<pre class="r"><code>aic_nlme &lt;- sapply(
+  list(f_parent_nlme_sfo_const, NA, f_parent_nlme_sfo_tc, f_parent_nlme_dfop_tc),
+  function(x) if (is.na(x[1])) NA else AIC(x))
+aic_nlme_nlmixr_focei &lt;- data.frame(
+  &quot;Degradation model&quot; = c(&quot;SFO&quot;, &quot;SFO&quot;, &quot;DFOP&quot;, &quot;DFOP&quot;),
+  &quot;Error model&quot; = rep(c(&quot;constant variance&quot;, &quot;two-component&quot;), 2),
+  &quot;AIC (nlme)&quot; = aic_nlme,
+  &quot;AIC (nlmixr with FOCEI)&quot; = aic_nlmixr_focei,
+  check.names = FALSE
+)
+print(aic_nlme_nlmixr_focei)</code></pre>
+<pre><code>  Degradation model       Error model AIC (nlme) AIC (nlmixr with FOCEI)
+1               SFO constant variance     796.60                  796.60
+2               SFO     two-component         NA                  798.64
+3              DFOP constant variance     798.60                  745.87
+4              DFOP     two-component     671.91                  740.42</code></pre>
+<p>Secondly, we use the SAEM estimation routine and check the convergence plots. The control parameters also used for the saemix fits are defined beforehand.</p>
+<pre class="r"><code>nlmixr_saem_control_800 &lt;- saemControl(logLik = TRUE,
+  nBurn = 800, nEm = 300, nmc = 15)
+nlmixr_saem_control_1000 &lt;- saemControl(logLik = TRUE,
+  nBurn = 1000, nEm = 300, nmc = 15)
+nlmixr_saem_control_10k &lt;- saemControl(logLik = TRUE,
+  nBurn = 10000, nEm = 1000, nmc = 15)</code></pre>
+<p>Then we fit SFO with constant variance</p>
+<pre class="r"><code>f_parent_nlmixr_saem_sfo_const &lt;- nlmixr(f_parent_mkin_const[&quot;SFO&quot;, ], est = &quot;saem&quot;,
+  control = nlmixr_saem_control_800)
+traceplot(f_parent_nlmixr_saem_sfo_const$nm)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>and SFO with two-component error.</p>
+<pre class="r"><code>f_parent_nlmixr_saem_sfo_tc &lt;- nlmixr(f_parent_mkin_tc[&quot;SFO&quot;, ], est = &quot;saem&quot;,
+  control = nlmixr_saem_control_800)
+traceplot(f_parent_nlmixr_saem_sfo_tc$nm)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>For DFOP with constant variance, the convergence plots show considerable instability of the fit, which indicates overparameterisation which was already observed above for this model combination.</p>
+<pre class="r"><code>f_parent_nlmixr_saem_dfop_const &lt;- nlmixr(f_parent_mkin_const[&quot;DFOP&quot;, ], est = &quot;saem&quot;,
+  control = nlmixr_saem_control_800)
+traceplot(f_parent_nlmixr_saem_dfop_const$nm)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>For DFOP with two-component error, a less erratic convergence is seen.</p>
+<pre class="r"><code>f_parent_nlmixr_saem_dfop_tc &lt;- nlmixr(f_parent_mkin_tc[&quot;DFOP&quot;, ], est = &quot;saem&quot;,
+  control = nlmixr_saem_control_800)
+traceplot(f_parent_nlmixr_saem_dfop_tc$nm)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>To check if an increase in the number of iterations improves the fit, we repeat the fit with 1000 iterations for the burn in phase and 300 iterations for the second phase.</p>
+<pre class="r"><code>f_parent_nlmixr_saem_dfop_tc_1000 &lt;- nlmixr(f_parent_mkin_tc[&quot;DFOP&quot;, ], est = &quot;saem&quot;,
+  control = nlmixr_saem_control_1000)
+traceplot(f_parent_nlmixr_saem_dfop_tc_1000$nm)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>Here the fit looks very similar, but we will see below that it shows a higher AIC than the fit with 800 iterations in the burn in phase. Next we choose 10 000 iterations for the burn in phase and 1000 iterations for the second phase for comparison with saemix.</p>
+<pre class="r"><code>f_parent_nlmixr_saem_dfop_tc_10k &lt;- nlmixr(f_parent_mkin_tc[&quot;DFOP&quot;, ], est = &quot;saem&quot;,
+  control = nlmixr_saem_control_10k)
+traceplot(f_parent_nlmixr_saem_dfop_tc_10k$nm)</code></pre>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>In the above convergence plot, the time course of ‘eta.DMTA_0’ and ‘log_k2’ indicate a false convergence.</p>
+<p>The AIC values are internally calculated using Gaussian quadrature.</p>
+<pre class="r"><code>AIC(f_parent_nlmixr_saem_sfo_const$nm, f_parent_nlmixr_saem_sfo_tc$nm,
+  f_parent_nlmixr_saem_dfop_const$nm, f_parent_nlmixr_saem_dfop_tc$nm,
+  f_parent_nlmixr_saem_dfop_tc_1000$nm,
+  f_parent_nlmixr_saem_dfop_tc_10k$nm)</code></pre>
+<pre><code>                                     df     AIC
+f_parent_nlmixr_saem_sfo_const$nm     5  798.71
+f_parent_nlmixr_saem_sfo_tc$nm        6  808.64
+f_parent_nlmixr_saem_dfop_const$nm    9 1995.96
+f_parent_nlmixr_saem_dfop_tc$nm      10  664.96
+f_parent_nlmixr_saem_dfop_tc_1000$nm 10  667.39
+f_parent_nlmixr_saem_dfop_tc_10k$nm  10     Inf</code></pre>
+<p>We can see that again, the DFOP/tc model shows the best goodness of fit. However, increasing the number of burn-in iterations from 800 to 1000 results in a higher AIC. If we further increase the number of iterations to 10 000 (burn-in) and 1000 (second phase), the AIC cannot be calculated for the nlmixr/saem fit, supporting that the fit did not converge properly.</p>
+</div>
+<div id="comparison" class="section level3">
+<h3>Comparison</h3>
+<p>The following table gives the AIC values obtained with the three packages using the same control parameters (800 iterations burn-in, 300 iterations second phase, 15 chains).</p>
+<pre class="r"><code>AIC_all &lt;- data.frame(
+  check.names = FALSE,
+  &quot;Degradation model&quot; = c(&quot;SFO&quot;, &quot;SFO&quot;, &quot;DFOP&quot;, &quot;DFOP&quot;),
+  &quot;Error model&quot; = c(&quot;const&quot;, &quot;tc&quot;, &quot;const&quot;, &quot;tc&quot;),
+  nlme = c(AIC(f_parent_nlme_sfo_const), AIC(f_parent_nlme_sfo_tc), NA, AIC(f_parent_nlme_dfop_tc)),
+  nlmixr_focei = sapply(list(f_parent_nlmixr_focei_sfo_const$nm, f_parent_nlmixr_focei_sfo_tc$nm,
+  f_parent_nlmixr_focei_dfop_const$nm, f_parent_nlmixr_focei_dfop_tc$nm), AIC),
+  saemix = sapply(list(f_parent_saemix_sfo_const$so, f_parent_saemix_sfo_tc$so,
+    f_parent_saemix_dfop_const$so, f_parent_saemix_dfop_tc$so), AIC),
+  nlmixr_saem = sapply(list(f_parent_nlmixr_saem_sfo_const$nm, f_parent_nlmixr_saem_sfo_tc$nm,
+  f_parent_nlmixr_saem_dfop_const$nm, f_parent_nlmixr_saem_dfop_tc$nm), AIC)
+)
+kable(AIC_all)</code></pre>
+<table>
+<thead>
+<tr class="header">
+<th align="left">Degradation model</th>
+<th align="left">Error model</th>
+<th align="right">nlme</th>
+<th align="right">nlmixr_focei</th>
+<th align="right">saemix</th>
+<th align="right">nlmixr_saem</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td align="left">SFO</td>
+<td align="left">const</td>
+<td align="right">796.60</td>
+<td align="right">796.60</td>
+<td align="right">796.38</td>
+<td align="right">798.71</td>
+</tr>
+<tr class="even">
+<td align="left">SFO</td>
+<td align="left">tc</td>
+<td align="right">798.60</td>
+<td align="right">798.64</td>
+<td align="right">798.38</td>
+<td align="right">808.64</td>
+</tr>
+<tr class="odd">
+<td align="left">DFOP</td>
+<td align="left">const</td>
+<td align="right">NA</td>
+<td align="right">745.87</td>
+<td align="right">705.75</td>
+<td align="right">1995.96</td>
+</tr>
+<tr class="even">
+<td align="left">DFOP</td>
+<td align="left">tc</td>
+<td align="right">671.91</td>
+<td align="right">740.42</td>
+<td align="right">665.65</td>
+<td align="right">664.96</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>intervals(f_parent_saemix_dfop_tc)</code></pre>
+<pre><code>Approximate 95% confidence intervals
+
+ Fixed effects:
+            lower       est.      upper
+DMTA_0 96.3087887 98.2761715 100.243554
+k1      0.0336893  0.0643651   0.095041
+k2      0.0062993  0.0088001   0.011301
+g       0.9100426  0.9524920   0.994941
+
+ Random effects:
+               lower      est.    upper
+sd(DMTA_0)   0.41868 2.0607469  3.70281
+sd(k1)       0.25611 0.5935653  0.93102
+sd(k2)     -10.29603 0.0029188 10.30187
+sd(g)        0.38083 1.0572543  1.73368
+
+ 
+      lower     est.    upper
+a.1 0.86253 1.061610 1.260690
+b.1 0.02262 0.029666 0.036712</code></pre>
+<pre class="r"><code>intervals(f_parent_saemix_dfop_tc)</code></pre>
+<pre><code>Approximate 95% confidence intervals
+
+ Fixed effects:
+            lower       est.      upper
+DMTA_0 96.3087887 98.2761715 100.243554
+k1      0.0336893  0.0643651   0.095041
+k2      0.0062993  0.0088001   0.011301
+g       0.9100426  0.9524920   0.994941
+
+ Random effects:
+               lower      est.    upper
+sd(DMTA_0)   0.41868 2.0607469  3.70281
+sd(k1)       0.25611 0.5935653  0.93102
+sd(k2)     -10.29603 0.0029188 10.30187
+sd(g)        0.38083 1.0572543  1.73368
+
+ 
+      lower     est.    upper
+a.1 0.86253 1.061610 1.260690
+b.1 0.02262 0.029666 0.036712</code></pre>
+<pre class="r"><code>intervals(f_parent_saemix_dfop_tc_mkin_muchmoreiter)</code></pre>
+<pre><code>Approximate 95% confidence intervals
+
+ Fixed effects:
+            lower       est.      upper
+DMTA_0 96.3402070 98.2789378 100.217669
+k1      0.0397896  0.0641976   0.103578
+k2      0.0041987  0.0084427   0.016977
+g       0.8656257  0.9521509   0.983992
+
+ Random effects:
+                lower    est.   upper
+sd(DMTA_0)    0.38907 2.01821 3.64735
+sd(log_k1)    0.25653 0.59512 0.93371
+sd(log_k2)   -0.20501 0.37610 0.95721
+sd(g_qlogis)  0.39712 1.18296 1.96879
+
+ 
+       lower     est.    upper
+a.1 0.868558 1.070260 1.271963
+b.1 0.022461 0.029505 0.036548</code></pre>
+<pre class="r"><code>intervals(f_parent_nlmixr_saem_dfop_tc)</code></pre>
+<pre><code>Approximate 95% confidence intervals
+
+ Fixed effects:
+            lower       est.      upper
+DMTA_0 96.3224806 98.2941093 100.265738
+k1      0.0402270  0.0648200   0.104448
+k2      0.0068547  0.0093928   0.012871
+g       0.8764066  0.9501419   0.980848
+
+ Random effects:
+             lower     est. upper
+sd(DMTA_0)      NA 1.686509    NA
+sd(log_k1)      NA 0.592805    NA
+sd(log_k2)      NA 0.009766    NA
+sd(g_qlogis)    NA 1.082616    NA
+
+ 
+          lower     est. upper
+sigma_low    NA 1.081677    NA
+rsd_high     NA 0.032073    NA</code></pre>
+<pre class="r"><code>intervals(f_parent_nlmixr_saem_dfop_tc_10k)</code></pre>
+<pre><code>Approximate 95% confidence intervals
+
+ Fixed effects:
+            lower       est.      upper
+DMTA_0 96.2302085 98.1641090 100.098010
+k1      0.0398514  0.0643909   0.104041
+k2      0.0066292  0.0090784   0.012432
+g       0.8831478  0.9527284   0.981734
+
+ Random effects:
+             lower       est. upper
+sd(DMTA_0)      NA 1.6257e+00    NA
+sd(log_k1)      NA 5.9627e-01    NA
+sd(log_k2)      NA 5.8400e-07    NA
+sd(g_qlogis)    NA 1.0676e+00    NA
+
+ 
+          lower     est. upper
+sigma_low    NA 1.087722    NA
+rsd_high     NA 0.031883    NA</code></pre>
+</div>
+</div>
+</div>
+<div id="references" class="section level1">
+<h1>References</h1>
+<!-- vim: set foldmethod=syntax: -->
+<div id="refs" class="references hanging-indent">
+<div id="ref-efsa_2018_dimethenamid">
+<p>EFSA. 2018. “Peer Review of the Pesticide Risk Assessment of the Active Substance Dimethenamid-P.” <em>EFSA Journal</em> 16 (4): 5211.</p>
+</div>
+<div id="ref-ranke2021">
+<p>Ranke, Johannes, Janina Wöltjen, Jana Schmidt, and Emmanuelle Comets. 2021. “Taking Kinetic Evaluations of Degradation Data to the Next Level with Nonlinear Mixed-Effects Models.” <em>Environments</em> 8 (8). <a href="https://doi.org/10.3390/environments8080071">https://doi.org/10.3390/environments8080071</a>.</p>
+</div>
+<div id="ref-dimethenamid_rar_2018_b8">
+<p>Rapporteur Member State Germany, Co-Rapporteur Member State Bulgaria. 2018. “Renewal Assessment Report Dimethenamid-P Volume 3 - B.8 Environmental fate and behaviour, Rev. 2 - November 2017.” <a href="https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716">https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716</a>.</p>
+</div>
+</div>
+</div>
+
+
+
+</div>
+</div>
+
+</div>
+
+<script>
+
+// add bootstrap table styles to pandoc tables
+function bootstrapStylePandocTables() {
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
+}
+$(document).ready(function () {
+  bootstrapStylePandocTables();
+});
+
+
+</script>
+
+<!-- tabsets -->
+
+<script>
+$(document).ready(function () {
+  window.buildTabsets("TOC");
+});
+
+$(document).ready(function () {
+  $('.tabset-dropdown > .nav-tabs > li').click(function () {
+    $(this).parent().toggleClass('nav-tabs-open');
+  });
+});
+</script>
+
+<!-- code folding -->
+<script>
+$(document).ready(function () {
+  window.initializeCodeFolding("hide" === "show");
+});
+</script>
+
+<script>
+$(document).ready(function ()  {
+
+    // temporarily add toc-ignore selector to headers for the consistency with Pandoc
+    $('.unlisted.unnumbered').addClass('toc-ignore')
+
+    // move toc-ignore selectors from section div to header
+    $('div.section.toc-ignore')
+        .removeClass('toc-ignore')
+        .children('h1,h2,h3,h4,h5').addClass('toc-ignore');
+
+    // establish options
+    var options = {
+      selectors: "h1,h2,h3",
+      theme: "bootstrap3",
+      context: '.toc-content',
+      hashGenerator: function (text) {
+        return text.replace(/[.\\/?&!#<>]/g, '').replace(/\s/g, '_');
+      },
+      ignoreSelector: ".toc-ignore",
+      scrollTo: 0
+    };
+    options.showAndHide = true;
+    options.smoothScroll = true;
+
+    // tocify
+    var toc = $("#TOC").tocify(options).data("toc-tocify");
+});
+</script>
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>
diff --git a/vignettes/web_only/dimethenamid_2018.rmd b/vignettes/web_only/dimethenamid_2018.rmd
new file mode 100644
index 00000000..08661b5a
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018.rmd
@@ -0,0 +1,520 @@
+---
+title: Example evaluations of the dimethenamid data from 2018
+author: Johannes Ranke
+date: Last change 11 January 2022, built on `r format(Sys.Date(), format = "%d %b %Y")`
+output:
+  html_document:
+    toc: true
+    toc_float: true
+    code_folding: hide
+    fig_retina: null
+bibliography: ../references.bib
+vignette: >
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+[Wissenschaftlicher Berater, Kronacher Str. 12, 79639 Grenzach-Wyhlen, Germany](http://www.jrwb.de)
+
+```{r, include = FALSE}
+require(knitr)
+require(mkin)
+require(nlme)
+options(digits = 5)
+opts_chunk$set(
+  comment = "",
+  tidy = FALSE,
+  cache = TRUE
+)
+```
+
+# Introduction
+
+During the preparation of the journal article on nonlinear mixed-effects models
+in degradation kinetics [@ranke2021] and the analysis of the dimethenamid
+degradation data analysed therein, a need for a more detailed analysis using
+not only nlme and saemix, but also nlmixr for fitting the mixed-effects models
+was identified, as many model variants do not converge when fitted with nlme,
+and not all relevant error models can be fitted with saemix.
+
+This vignette is an attempt to satisfy this need.
+
+# Data
+
+Residue data forming the basis for the endpoints derived in the conclusion on
+the peer review of the pesticide risk assessment of dimethenamid-P published by
+the European Food Safety Authority (EFSA) in 2018 [@efsa_2018_dimethenamid]
+were transcribed from the risk assessment report [@dimethenamid_rar_2018_b8]
+which can be downloaded from the Open EFSA repository
+[https://open.efsa.europa.eu/study-inventory/EFSA-Q-2014-00716](https://open.efsa.europa.eu).
+
+The data are [available in the mkin
+package](https://pkgdown.jrwb.de/mkin/reference/dimethenamid_2018.html). The
+following code (hidden by default, please use the button to the right to show
+it) treats the data available for the racemic mixture dimethenamid (DMTA) and
+its enantiomer dimethenamid-P (DMTAP) in the same way, as no difference between
+their degradation behaviour was identified in the EU risk assessment. The
+observation times of each dataset are multiplied with the corresponding
+normalisation factor also available in the dataset, in order to make it
+possible to describe all datasets with a single set of parameters.
+
+Also, datasets observed in the same soil are merged, resulting in dimethenamid
+(DMTA) data from six soils.
+
+```{r dimethenamid_data}
+library(mkin, quietly = TRUE)
+dmta_ds <- lapply(1:7, function(i) {
+  ds_i <- dimethenamid_2018$ds[[i]]$data
+  ds_i[ds_i$name == "DMTAP", "name"] <-  "DMTA"
+  ds_i$time <- ds_i$time * dimethenamid_2018$f_time_norm[i]
+  ds_i
+})
+names(dmta_ds) <- sapply(dimethenamid_2018$ds, function(ds) ds$title)
+dmta_ds[["Elliot"]] <- rbind(dmta_ds[["Elliot 1"]], dmta_ds[["Elliot 2"]])
+dmta_ds[["Elliot 1"]] <- NULL
+dmta_ds[["Elliot 2"]] <- NULL
+```
+
+# Parent degradation
+
+We evaluate the observed degradation of the parent compound using simple
+exponential decline (SFO) and biexponential decline (DFOP), using constant
+variance (const) and a two-component variance (tc) as error models.
+
+## Separate evaluations
+
+As a first step, to get a visual impression of the fit of the different models,
+we do separate evaluations for each soil using the mmkin function from the
+mkin package:
+
+```{r f_parent_mkin}
+f_parent_mkin_const <- mmkin(c("SFO", "DFOP"), dmta_ds,
+  error_model = "const", quiet = TRUE)
+f_parent_mkin_tc <- mmkin(c("SFO", "DFOP"), dmta_ds,
+  error_model = "tc", quiet = TRUE)
+```
+
+The plot of the individual SFO fits shown below suggests that at least in some
+datasets the degradation slows down towards later time points, and that the
+scatter of the residuals error is smaller for smaller values (panel to the
+right):
+
+```{r f_parent_mkin_sfo_const}
+plot(mixed(f_parent_mkin_const["SFO", ]))
+```
+
+Using biexponential decline (DFOP) results in a slightly more random
+scatter of the residuals:
+
+```{r f_parent_mkin_dfop_const}
+plot(mixed(f_parent_mkin_const["DFOP", ]))
+```
+
+The population curve (bold line) in the above plot results from taking the mean
+of the individual transformed parameters, i.e. of log k1 and log k2, as well as
+of the logit of the g parameter of the DFOP model). Here, this procedure
+does not result in parameters that represent the degradation well, because in some
+datasets the fitted value for k2 is extremely close to zero, leading to a log
+k2 value that dominates the average. This is alleviated if only rate constants
+that pass the t-test for significant difference from zero (on the untransformed
+scale) are considered in the averaging:
+
+```{r f_parent_mkin_dfop_const_test}
+plot(mixed(f_parent_mkin_const["DFOP", ]), test_log_parms = TRUE)
+```
+
+While this is visually much more satisfactory, such an average procedure could
+introduce a bias, as not all results from the individual fits enter the
+population curve with the same weight. This is where nonlinear mixed-effects
+models can help out by treating all datasets with equally by fitting a
+parameter distribution model together with the degradation model and the error
+model (see below).
+
+The remaining trend of the residuals to be higher for higher predicted residues
+is reduced by using the two-component error model:
+
+```{r f_parent_mkin_dfop_tc_test}
+plot(mixed(f_parent_mkin_tc["DFOP", ]), test_log_parms = TRUE)
+```
+
+## Nonlinear mixed-effects models
+
+Instead of taking a model selection decision for each of the individual fits, we fit
+nonlinear mixed-effects models (using different fitting algorithms as implemented in
+different packages) and do model selection using all available data at the same time.
+In order to make sure that these decisions are not unduly influenced by the
+type of algorithm used, by implementation details or by the use of wrong control
+parameters, we compare the model selection results obtained with different R
+packages, with different algorithms and checking control parameters.
+
+### nlme
+
+The nlme package was the first R extension providing facilities to fit nonlinear
+mixed-effects models. We would like to do model selection from all four
+combinations of degradation models and error models based on the AIC.
+However, fitting the DFOP model with constant variance and using default
+control parameters results in an error, signalling that the maximum number
+of 50 iterations was reached, potentially indicating overparameterisation.
+Nevertheless, the algorithm converges when the two-component error model is
+used in combination with the DFOP model. This can be explained by the fact
+that the smaller residues observed at later sampling times get more
+weight when using the two-component error model which will counteract the
+tendency of the algorithm to try parameter combinations unsuitable for
+fitting these data.
+
+```{r f_parent_nlme, warning = FALSE}
+library(nlme)
+f_parent_nlme_sfo_const <- nlme(f_parent_mkin_const["SFO", ])
+# f_parent_nlme_dfop_const <- nlme(f_parent_mkin_const["DFOP", ])
+f_parent_nlme_sfo_tc <- nlme(f_parent_mkin_tc["SFO", ])
+f_parent_nlme_dfop_tc <- nlme(f_parent_mkin_tc["DFOP", ])
+```
+
+Note that a certain degree of overparameterisation is also indicated by a
+warning obtained when fitting DFOP with the two-component error model ('false
+convergence' in the 'LME step' in iteration 3). However, as this warning does
+not occur in later iterations, and specifically not in the last of the
+`r f_parent_nlme_dfop_tc$numIter` iterations, we can ignore this warning.
+
+The model comparison function of the nlme package can directly be applied
+to these fits showing a much lower AIC for the DFOP model fitted with the
+two-component error model. Also, the likelihood ratio test indicates that this
+difference is significant as the p-value is below 0.0001.
+
+```{r AIC_parent_nlme}
+anova(
+  f_parent_nlme_sfo_const, f_parent_nlme_sfo_tc, f_parent_nlme_dfop_tc
+)
+```
+
+In addition to these fits, attempts were also made to include correlations
+between random effects by using the log Cholesky parameterisation of the matrix
+specifying them. The code used for these attempts can be made visible below.
+
+```{r f_parent_nlme_logchol, warning = FALSE, eval = FALSE}
+f_parent_nlme_sfo_const_logchol <- nlme(f_parent_mkin_const["SFO", ],
+  random = nlme::pdLogChol(list(DMTA_0 ~ 1, log_k_DMTA ~ 1)))
+anova(f_parent_nlme_sfo_const, f_parent_nlme_sfo_const_logchol)
+f_parent_nlme_sfo_tc_logchol <- nlme(f_parent_mkin_tc["SFO", ],
+  random = nlme::pdLogChol(list(DMTA_0 ~ 1, log_k_DMTA ~ 1)))
+anova(f_parent_nlme_sfo_tc, f_parent_nlme_sfo_tc_logchol)
+f_parent_nlme_dfop_tc_logchol <- nlme(f_parent_mkin_const["DFOP", ],
+  random = nlme::pdLogChol(list(DMTA_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1)))
+anova(f_parent_nlme_dfop_tc, f_parent_nlme_dfop_tc_logchol)
+```
+
+While the SFO variants converge fast, the additional parameters introduced
+by this lead to convergence warnings for the DFOP model. The model comparison
+clearly show that adding correlations between random effects does not improve
+the fits.
+
+The selected model (DFOP with two-component error) fitted to the data assuming
+no correlations between random effects is shown below.
+
+```{r plot_parent_nlme}
+plot(f_parent_nlme_dfop_tc)
+```
+
+### saemix
+
+The saemix package provided the first Open Source implementation of the
+Stochastic Approximation to the Expectation Maximisation (SAEM) algorithm.
+SAEM fits of degradation models can be conveniently performed using an
+interface to the saemix package available in current development versions of
+the mkin package.
+
+The corresponding SAEM fits of the four combinations of degradation and error
+models are fitted below. As there is no convergence criterion implemented in
+the saemix package, the convergence plots need to be manually checked for every
+fit. As we will compare the SAEM implementation of saemix to the results
+obtained using the nlmixr package later, we define control settings that
+work well for all the parent data fits shown in this vignette.
+
+```{r saemix_control, results='hide'}
+library(saemix)
+saemix_control <- saemixControl(nbiter.saemix = c(800, 300), nb.chains = 15,
+    print = FALSE, save = FALSE, save.graphs = FALSE, displayProgress = FALSE)
+saemix_control_moreiter <- saemixControl(nbiter.saemix = c(1600, 300), nb.chains = 15,
+    print = FALSE, save = FALSE, save.graphs = FALSE, displayProgress = FALSE)
+```
+
+The convergence plot for the SFO model using constant variance is shown below.
+
+```{r f_parent_saemix_sfo_const, results = 'hide', dependson = "saemix_control"}
+f_parent_saemix_sfo_const <- mkin::saem(f_parent_mkin_const["SFO", ], quiet = TRUE,
+  control = saemix_control, transformations = "saemix")
+plot(f_parent_saemix_sfo_const$so, plot.type = "convergence")
+```
+
+Obviously the default number of iterations is sufficient to reach convergence.
+This can also be said for the SFO fit using the two-component error model.
+
+```{r f_parent_saemix_sfo_tc, results = 'hide', dependson = "saemix_control"}
+f_parent_saemix_sfo_tc <- mkin::saem(f_parent_mkin_tc["SFO", ], quiet = TRUE,
+  control = saemix_control, transformations = "saemix")
+plot(f_parent_saemix_sfo_tc$so, plot.type = "convergence")
+```
+
+When fitting the DFOP model with constant variance (see below), parameter
+convergence is not as unambiguous.
+
+```{r f_parent_saemix_dfop_const, results = 'hide', dependson = "saemix_control"}
+f_parent_saemix_dfop_const <- mkin::saem(f_parent_mkin_const["DFOP", ], quiet = TRUE,
+  control = saemix_control, transformations = "saemix")
+plot(f_parent_saemix_dfop_const$so, plot.type = "convergence")
+```
+
+This is improved when the DFOP model is fitted with the two-component error
+model. Convergence of the variance of k2 is enhanced, it remains more or less
+stable already after 200 iterations of the first phase.
+
+```{r f_parent_saemix_dfop_tc, results = 'hide', dependson = "saemix_control"}
+f_parent_saemix_dfop_tc <- mkin::saem(f_parent_mkin_tc["DFOP", ], quiet = TRUE,
+  control = saemix_control, transformations = "saemix")
+plot(f_parent_saemix_dfop_tc$so, plot.type = "convergence")
+```
+
+```{r f_parent_saemix_dfop_tc_moreiter, results = 'hide', dependson = "saemix_control"}
+# The last time I tried (2022-01-11) this gives an error in solve.default(omega.eta)
+# system is computationally singular: reciprocal condition number = 5e-17
+#f_parent_saemix_dfop_tc_10k <- mkin::saem(f_parent_mkin_tc["DFOP", ], quiet = TRUE,
+#  control = saemix_control_10k, transformations = "saemix")
+# Now we do not get a significant improvement by using twice the number of iterations
+f_parent_saemix_dfop_tc_moreiter <- mkin::saem(f_parent_mkin_tc["DFOP", ], quiet = TRUE,
+  control = saemix_control_moreiter, transformations = "saemix")
+#plot(f_parent_saemix_dfop_tc_moreiter$so, plot.type = "convergence")
+```
+
+An alternative way to fit DFOP in combination with the two-component error model
+is to use the model formulation with transformed parameters as used per default
+in mkin.
+
+```{r f_parent_saemix_dfop_tc_mkin, results = 'hide', dependson = "saemix_control"}
+f_parent_saemix_dfop_tc_mkin <- mkin::saem(f_parent_mkin_tc["DFOP", ], quiet = TRUE,
+  control = saemix_control, transformations = "mkin")
+plot(f_parent_saemix_dfop_tc_mkin$so, plot.type = "convergence")
+```
+As the convergence plots do not clearly indicate that the algorithm has converged, we
+again use four times the number of iterations, which leads to almost satisfactory
+convergence (see below).
+
+```{r f_parent_saemix_dfop_tc_mkin_moreiter, results = 'hide', dependson = "saemix_control"}
+saemix_control_muchmoreiter <- saemixControl(nbiter.saemix = c(3200, 300), nb.chains = 15,
+    print = FALSE, save = FALSE, save.graphs = FALSE, displayProgress = FALSE)
+f_parent_saemix_dfop_tc_mkin_muchmoreiter <- mkin::saem(f_parent_mkin_tc["DFOP", ], quiet = TRUE,
+  control = saemix_control_muchmoreiter, transformations = "mkin")
+plot(f_parent_saemix_dfop_tc_mkin_muchmoreiter$so, plot.type = "convergence")
+```
+
+The four combinations (SFO/const, SFO/tc, DFOP/const and DFOP/tc), including
+the variations of the DFOP/tc combination can be compared using the model
+comparison function of the saemix package:
+
+```{r AIC_parent_saemix, cache = FALSE}
+AIC_parent_saemix <- saemix::compare.saemix(
+  f_parent_saemix_sfo_const$so,
+  f_parent_saemix_sfo_tc$so,
+  f_parent_saemix_dfop_const$so,
+  f_parent_saemix_dfop_tc$so,
+  f_parent_saemix_dfop_tc_moreiter$so,
+  f_parent_saemix_dfop_tc_mkin$so,
+  f_parent_saemix_dfop_tc_mkin_muchmoreiter$so)
+rownames(AIC_parent_saemix) <- c(
+  "SFO const", "SFO tc", "DFOP const", "DFOP tc", "DFOP tc more iterations",
+  "DFOP tc mkintrans", "DFOP tc mkintrans more iterations")
+print(AIC_parent_saemix)
+```
+
+As in the case of nlme fits, the DFOP model fitted with two-component error
+(number 4) gives the lowest AIC. Using a much larger number of iterations
+does not significantly change the AIC. When the mkin transformations are used
+instead of the saemix transformations, we need four times the number of
+iterations to obtain a goodness of fit that almost as good as the result
+obtained with saemix transformations.
+
+In order to check the influence of the likelihood calculation algorithms
+implemented in saemix, the likelihood from Gaussian quadrature is added
+to the best fit, and the AIC values obtained from the three methods
+are compared.
+
+```{r AIC_parent_saemix_methods, cache = FALSE}
+f_parent_saemix_dfop_tc$so <-
+  saemix::llgq.saemix(f_parent_saemix_dfop_tc$so)
+AIC_parent_saemix_methods <- c(
+  is = AIC(f_parent_saemix_dfop_tc$so, method = "is"),
+  gq = AIC(f_parent_saemix_dfop_tc$so, method = "gq"),
+  lin = AIC(f_parent_saemix_dfop_tc$so, method = "lin")
+)
+print(AIC_parent_saemix_methods)
+```
+
+The AIC values based on importance sampling and Gaussian quadrature are very
+similar. Using linearisation is known to be less accurate, but still gives a
+similar value.
+
+### nlmixr
+
+In the last years, a lot of effort has been put into the nlmixr package which
+is designed for pharmacokinetics, where nonlinear mixed-effects models are
+routinely used, but which can also be used for related data like chemical
+degradation data. A current development branch of the mkin package provides
+an interface between mkin and nlmixr. Here, we check if we get equivalent
+results when using a refined version of the First Order Conditional Estimation
+(FOCE) algorithm used in nlme, namely the First Order Conditional Estimation
+with Interaction (FOCEI), and the SAEM algorithm as implemented in nlmixr.
+
+First, the focei algorithm is used for the four model combinations. A number of
+warnings are produced with unclear significance.
+
+```{r f_parent_nlmixr_focei, results = "hide", message = FALSE, warning = FALSE}
+library(nlmixr)
+f_parent_nlmixr_focei_sfo_const <- nlmixr(f_parent_mkin_const["SFO", ], est = "focei")
+f_parent_nlmixr_focei_sfo_tc <- nlmixr(f_parent_mkin_tc["SFO", ], est = "focei")
+f_parent_nlmixr_focei_dfop_const <- nlmixr(f_parent_mkin_const["DFOP", ], est = "focei")
+f_parent_nlmixr_focei_dfop_tc<- nlmixr(f_parent_mkin_tc["DFOP", ], est = "focei")
+```
+
+```{r AIC_parent_nlmixr_focei, cache = FALSE}
+aic_nlmixr_focei <- sapply(
+  list(f_parent_nlmixr_focei_sfo_const$nm, f_parent_nlmixr_focei_sfo_tc$nm,
+    f_parent_nlmixr_focei_dfop_const$nm, f_parent_nlmixr_focei_dfop_tc$nm),
+  AIC)
+```
+
+The AIC values are very close to the ones obtained with nlme which are repeated below
+for convenience.
+
+```{r AIC_parent_nlme_rep, cache = FALSE}
+aic_nlme <- sapply(
+  list(f_parent_nlme_sfo_const, NA, f_parent_nlme_sfo_tc, f_parent_nlme_dfop_tc),
+  function(x) if (is.na(x[1])) NA else AIC(x))
+aic_nlme_nlmixr_focei <- data.frame(
+  "Degradation model" = c("SFO", "SFO", "DFOP", "DFOP"),
+  "Error model" = rep(c("constant variance", "two-component"), 2),
+  "AIC (nlme)" = aic_nlme,
+  "AIC (nlmixr with FOCEI)" = aic_nlmixr_focei,
+  check.names = FALSE
+)
+print(aic_nlme_nlmixr_focei)
+```
+
+Secondly, we use the SAEM estimation routine and check the convergence plots. The
+control parameters also used for the saemix fits are defined beforehand.
+
+```{r nlmixr_saem_control}
+nlmixr_saem_control_800 <- saemControl(logLik = TRUE,
+  nBurn = 800, nEm = 300, nmc = 15)
+nlmixr_saem_control_1000 <- saemControl(logLik = TRUE,
+  nBurn = 1000, nEm = 300, nmc = 15)
+nlmixr_saem_control_10k <- saemControl(logLik = TRUE,
+  nBurn = 10000, nEm = 1000, nmc = 15)
+```
+
+Then we fit SFO with constant variance
+
+```{r f_parent_nlmixr_saem_sfo_const, results = "hide", warning = FALSE, message = FALSE, dependson = "nlmixr_saem_control"}
+f_parent_nlmixr_saem_sfo_const <- nlmixr(f_parent_mkin_const["SFO", ], est = "saem",
+  control = nlmixr_saem_control_800)
+traceplot(f_parent_nlmixr_saem_sfo_const$nm)
+```
+
+and SFO with two-component error.
+
+```{r f_parent_nlmixr_saem_sfo_tc, results = "hide", warning = FALSE, message = FALSE, dependson = "nlmixr_saem_control"}
+f_parent_nlmixr_saem_sfo_tc <- nlmixr(f_parent_mkin_tc["SFO", ], est = "saem",
+  control = nlmixr_saem_control_800)
+traceplot(f_parent_nlmixr_saem_sfo_tc$nm)
+```
+
+For DFOP with constant variance, the convergence plots show considerable
+instability of the fit, which indicates overparameterisation which was already
+observed above for this model combination.
+
+```{r f_parent_nlmixr_saem_dfop_const, results = "hide", warning = FALSE, message = FALSE, dependson = "nlmixr_saem_control"}
+f_parent_nlmixr_saem_dfop_const <- nlmixr(f_parent_mkin_const["DFOP", ], est = "saem",
+  control = nlmixr_saem_control_800)
+traceplot(f_parent_nlmixr_saem_dfop_const$nm)
+```
+
+For DFOP with two-component error, a less erratic convergence is seen.
+
+```{r f_parent_nlmixr_saem_dfop_tc, results = "hide", warning = FALSE, message = FALSE, dependson = "nlmixr_saem_control"}
+f_parent_nlmixr_saem_dfop_tc <- nlmixr(f_parent_mkin_tc["DFOP", ], est = "saem",
+  control = nlmixr_saem_control_800)
+traceplot(f_parent_nlmixr_saem_dfop_tc$nm)
+```
+
+To check if an increase in the number of iterations improves the fit, we repeat
+the fit with 1000 iterations for the burn in phase and 300 iterations for the
+second phase.
+
+```{r f_parent_nlmixr_saem_dfop_tc_1k, results = "hide", warning = FALSE, message = FALSE, dependson = "nlmixr_saem_control"}
+f_parent_nlmixr_saem_dfop_tc_1000 <- nlmixr(f_parent_mkin_tc["DFOP", ], est = "saem",
+  control = nlmixr_saem_control_1000)
+traceplot(f_parent_nlmixr_saem_dfop_tc_1000$nm)
+```
+
+Here the fit looks very similar, but we will see below that it shows a higher AIC
+than the fit with 800 iterations in the burn in phase. Next we choose
+10 000 iterations for the burn in phase and 1000 iterations for the second
+phase for comparison with saemix.
+
+```{r f_parent_nlmixr_saem_dfop_tc_10k, results = "hide", warning = FALSE, message = FALSE, dependson = "nlmixr_saem_control"}
+f_parent_nlmixr_saem_dfop_tc_10k <- nlmixr(f_parent_mkin_tc["DFOP", ], est = "saem",
+  control = nlmixr_saem_control_10k)
+traceplot(f_parent_nlmixr_saem_dfop_tc_10k$nm)
+```
+
+In the above convergence plot, the time course of 'eta.DMTA_0' and
+'log_k2' indicate a false convergence.
+
+The AIC values are internally calculated using Gaussian quadrature.
+
+```{r AIC_parent_nlmixr_saem, cache = FALSE}
+AIC(f_parent_nlmixr_saem_sfo_const$nm, f_parent_nlmixr_saem_sfo_tc$nm,
+  f_parent_nlmixr_saem_dfop_const$nm, f_parent_nlmixr_saem_dfop_tc$nm,
+  f_parent_nlmixr_saem_dfop_tc_1000$nm,
+  f_parent_nlmixr_saem_dfop_tc_10k$nm)
+```
+
+We can see that again, the DFOP/tc model shows the best goodness of fit.
+However, increasing the number of burn-in iterations from 800 to 1000 results
+in a higher AIC. If we further increase the number of iterations to 10 000
+(burn-in) and 1000 (second phase), the AIC cannot be calculated for the
+nlmixr/saem fit, supporting that the fit did not converge properly.
+
+### Comparison
+
+The following table gives the AIC values obtained with the three packages using
+the same control parameters (800 iterations burn-in, 300 iterations second
+phase, 15 chains).
+
+```{r AIC_all, cache = FALSE}
+AIC_all <- data.frame(
+  check.names = FALSE,
+  "Degradation model" = c("SFO", "SFO", "DFOP", "DFOP"),
+  "Error model" = c("const", "tc", "const", "tc"),
+  nlme = c(AIC(f_parent_nlme_sfo_const), AIC(f_parent_nlme_sfo_tc), NA, AIC(f_parent_nlme_dfop_tc)),
+  nlmixr_focei = sapply(list(f_parent_nlmixr_focei_sfo_const$nm, f_parent_nlmixr_focei_sfo_tc$nm,
+  f_parent_nlmixr_focei_dfop_const$nm, f_parent_nlmixr_focei_dfop_tc$nm), AIC),
+  saemix = sapply(list(f_parent_saemix_sfo_const$so, f_parent_saemix_sfo_tc$so,
+    f_parent_saemix_dfop_const$so, f_parent_saemix_dfop_tc$so), AIC),
+  nlmixr_saem = sapply(list(f_parent_nlmixr_saem_sfo_const$nm, f_parent_nlmixr_saem_sfo_tc$nm,
+  f_parent_nlmixr_saem_dfop_const$nm, f_parent_nlmixr_saem_dfop_tc$nm), AIC)
+)
+kable(AIC_all)
+```
+
+```{r parms_all, cache = FALSE}
+intervals(f_parent_saemix_dfop_tc)
+intervals(f_parent_saemix_dfop_tc)
+intervals(f_parent_saemix_dfop_tc_mkin_muchmoreiter)
+intervals(f_parent_nlmixr_saem_dfop_tc)
+intervals(f_parent_nlmixr_saem_dfop_tc_10k)
+```
+
+
+
+# References
+
+<!-- vim: set foldmethod=syntax: -->
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png
new file mode 100644
index 00000000..950abf27
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png
new file mode 100644
index 00000000..66481bc1
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png
new file mode 100644
index 00000000..557ccc45
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png
new file mode 100644
index 00000000..089ab64d
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_const-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_const-1.png
new file mode 100644
index 00000000..88089aaf
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_const-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc-1.png
new file mode 100644
index 00000000..efc37a5f
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-1.png
new file mode 100644
index 00000000..ab2b1b2d
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-2.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-2.png
new file mode 100644
index 00000000..fb410d33
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-2.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_1k-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_1k-1.png
new file mode 100644
index 00000000..aac73dbe
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_1k-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_manymoreiter-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_manymoreiter-1.png
new file mode 100644
index 00000000..0cea183d
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_manymoreiter-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_const-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_const-1.png
new file mode 100644
index 00000000..de0a0ded
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_const-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_tc-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_tc-1.png
new file mode 100644
index 00000000..0b7f5090
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_tc-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_const-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_const-1.png
new file mode 100644
index 00000000..84a6fc92
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_const-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc-1.png
new file mode 100644
index 00000000..d154dc9b
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_10k-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_10k-1.png
new file mode 100644
index 00000000..3f04f023
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_10k-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_manymoreiter-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_manymoreiter-1.png
new file mode 100644
index 00000000..8522c2ea
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_manymoreiter-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin-1.png
new file mode 100644
index 00000000..c676406e
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_10k-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_10k-1.png
new file mode 100644
index 00000000..e924cc16
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_10k-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_moreiter-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_moreiter-1.png
new file mode 100644
index 00000000..e3c21563
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc_mkin_moreiter-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_const-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_const-1.png
new file mode 100644
index 00000000..7862fc65
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_const-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_tc-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_tc-1.png
new file mode 100644
index 00000000..800c320b
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_tc-1.png
diff --git a/vignettes/web_only/dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png b/vignettes/web_only/dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png
new file mode 100644
index 00000000..849296d9
--- /dev/null
+++ b/vignettes/web_only/dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png