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author | Johannes Ranke <jranke@uni-bremen.de> | 2017-01-29 16:58:53 +0100 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2017-01-29 18:52:24 +0100 |
commit | a6c13f70f6c6669a8088827a602ac475fdf9b624 (patch) | |
tree | e3bcc3e9ff9e006f3e9d87a1df226752fa4753cc /tests/testthat | |
parent | c22143d8ec53026cb1e439bdbba1d725a11b4b0c (diff) |
Setting up PELMO runs, execution and evaluation
It all works!
Diffstat (limited to 'tests/testthat')
-rw-r--r-- | tests/testthat/test_PELMO.R | 74 |
1 files changed, 56 insertions, 18 deletions
diff --git a/tests/testthat/test_PELMO.R b/tests/testthat/test_PELMO.R index 7b7e2b6..ab0e37a 100644 --- a/tests/testthat/test_PELMO.R +++ b/tests/testthat/test_PELMO.R @@ -17,40 +17,33 @@ runs <- list( pot = c("Cha", "Ham")), list( psm = "Pesticide_D_1_May_every_other_year_mets", - mai = c("Cha"))) - + win = names(FOCUS_GW_scenarios_2012$names))) test_that("PELMO paths are correctly created", { psm_paths = c( PELMO_path(runs[[1]]$psm, "fbe", "Por"), PELMO_path(runs[[2]]$psm, "pot", "Ham"), - PELMO_path(runs[[3]]$psm, "mai", "Cha")) + PELMO_path(runs[[3]]$psm, "win", "Cha")) - # Check for psm files and put them into PELMO_base - psm_new_locations <- character(0) for (i in seq_along(psm_paths)) { psm_file <- file.path(test_dir, psm_paths[i], paste0(runs[[i]]$psm, ".psm")) expect_true(file.exists(psm_file)) psm_new_location <- file.path(PELMO_base, basename(psm_file)) - psm_new_locations[i] <- psm_new_location - file.copy(psm_file, psm_new_location) + file.copy(psm_file, psm_new_location, overwrite = TRUE) } }) test_that("PELMO runs are correctly set up", { # Prepare runs in analogy to the test archive - PELMO_runs(runs, psm_dir = PELMO_base, execute = FALSE, overwrite = TRUE) + PELMO_runs(runs, psm_dir = PELMO_base, execute = FALSE, evaluate = FALSE, overwrite = TRUE) # Check that input files are correctly generated in the right location for (run in runs) { psm <- run$psm - # message(psm) crops <- setdiff(names(run), "psm") for (crop in crops) { - # message(crop) for (scenario in run[[crop]]) { - # message(scenario) pp <- PELMO_path(psm, crop, scenario) input_new <- readLines(file.path(PELMO_base, "FOCUS", pp, "pelmo.inp")) @@ -64,7 +57,7 @@ test_that("PELMO runs are correctly set up", { }) test_that("PELMO runs can be run and give the expected result files", { - run_PELMO(runs, cores = 5) + run_PELMO(runs, cores = 7) plm_files <- c("CHEM.PLM", "ECHO.PLM", "KONZCHEM.PLM", "KONZC_A1", "KONZC_B1", @@ -75,9 +68,7 @@ test_that("PELMO runs can be run and give the expected result files", { psm <- run$psm crops <- setdiff(names(run), "psm") for (crop in crops) { - # message(crop) for (scenario in run[[crop]]) { - # message(scenario) pp <- PELMO_path(psm, crop, scenario) for (plm in plm_files) { @@ -95,10 +86,57 @@ test_that("PELMO runs can be run and give the expected result files", { }) test_that("PELMO runs are correctly evaluated", { - evaluate_PELMO(runs, psm_dir = PELMO_base) + results <- evaluate_PELMO(runs) + # Check that if output is the same as in the test archive + for (run in runs) { + psm <- run$psm + crops <- setdiff(names(run), "psm") + for (crop in crops) { + for (scenario in run[[crop]]) { + pp <- PELMO_path(psm, crop, scenario) -}) + period_file <- readLines(file.path(test_dir, pp, "period.plm"), encoding = "latin1") + + result_lines <- grep("^\tResults for.*in the percolate at 1 m soil depth$", period_file) + acronyms <- gsub(".*\\((.*)\\).*", "\\1", period_file[result_lines]) + names(result_lines) <- acronyms + + results <- list() + for (acronym in acronyms) { + results[[acronym]] <- list() + conc_lines <- result_lines[acronym] + 5:24 + tmp <- read.table(text = period_file[conc_lines], sep = "\t") + results[[acronym]]$periods <- data.frame( + period = as.integer(tmp$V2), + flux = tmp$V3, + percolate = tmp$V4, + conc = tmp$V5) + tmp80 <- read.table(text = period_file[result_lines[acronym] + 27], sep = "\t") + results[[acronym]]$focus <- tmp80[[1, "V5"]] + } -# Clean up -unlink(psm_new_locations) + period_pfm_file <- file.path(PELMO_base, "FOCUS", pp, "period_pfm.rda") + load(period_pfm_file) + + # Test for equality of all the components separately, + # as we need to adapt the tolerance + for (acronym in acronyms) { + p_pelmo <- results[[acronym]]$periods + p_test <- results_pfm[[acronym]]$periods + expect_equal(p_test$flux, p_pelmo$flux, tol = 1e-6, scale = 1) + expect_equal(p_test$percolate, p_pelmo$percolate) + # PELMO sets the concentration to 0 when the percolate is zero. + # We get NaN, which is more reasonable, but we need to + # take this into account for testing + p_test$conc <- ifelse(is.na(p_test$conc), 0, p_test$conc) + expect_equal(p_test$conc, p_pelmo$conc, tol = 1e-3, scale = 1) + + # FOCUS PEC + expect_equal(results_pfm[[acronym]]$focus, results[[acronym]]$focus, + tol = 1e-3, scale = 1) + } + } + } + } +}) |