diff options
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/testthat/test_PELMO.R | 7 | ||||
| -rw-r--r-- | tests/testthat/test_step_1.R | 97 |
2 files changed, 88 insertions, 16 deletions
diff --git a/tests/testthat/test_PELMO.R b/tests/testthat/test_PELMO.R index 9bebc95..e6d3a0f 100644 --- a/tests/testthat/test_PELMO.R +++ b/tests/testthat/test_PELMO.R @@ -20,6 +20,7 @@ runs <- list( win = names(FOCUS_GW_scenarios_2012$names))) test_that("PELMO paths are correctly created", { + skip("A wine installation is needed for this test") psm_paths = c( PELMO_path(runs[[1]]$psm, "fbe", "Por"), PELMO_path(runs[[2]]$psm, "pot", "Ham"), @@ -34,6 +35,7 @@ test_that("PELMO paths are correctly created", { }) test_that("PELMO runs are correctly set up", { + skip("A wine installation is needed for this test") # Prepare runs in analogy to the test archive PELMO_runs(runs, psm_dir = PELMO_base, execute = FALSE, evaluate = FALSE, overwrite = TRUE) @@ -57,6 +59,7 @@ test_that("PELMO runs are correctly set up", { }) test_that("PELMO runs can be run and give the expected result files", { + skip("A wine installation is needed for this test") run_PELMO(runs, cores = 7) plm_files <- c("CHEM.PLM", "ECHO.PLM", @@ -85,9 +88,10 @@ test_that("PELMO runs can be run and give the expected result files", { } }) -pfm_PECgw <- evaluate_PELMO(runs) +# pfm_PECgw <- evaluate_PELMO(runs) test_that("PELMO runs are correctly evaluated", { + skip("A wine installation is needed for this test") # Check that if output is the same as in the test archive for (run in runs) { @@ -145,6 +149,7 @@ test_that("PELMO runs are correctly evaluated", { }) test_that("PECgw from FOCUS summary files can be reproduced", { + skip("A wine installation is needed for this test") focus_summary <- list() for (run in runs) { diff --git a/tests/testthat/test_step_1.R b/tests/testthat/test_step_1.R index abef72c..b067e8f 100644 --- a/tests/testthat/test_step_1.R +++ b/tests/testthat/test_step_1.R @@ -1,11 +1,12 @@ context("FOCUS Step 1 calculations") +t_out <- c(0, 1, 2, 4) # Checking the first four days should be sufficient for Step 1 + test_that("Results of Steps 1/2 calculator for Dummy 1 are reproduced", { dummy_1 <- chent_focus_sw(cwsat = 6000, DT50_ws = 6, Koc = 344.8) res_dummy_1 <- PEC_sw_focus(dummy_1, 3000, f_drift = 0) - t_out <- c(0, 1, 2, 4) # Checking the first four days should be sufficient for Step 1 - PEC_orig = matrix(NA, nrow = length(t_out), ncol = 4, + PEC_orig_1 = matrix(NA, nrow = length(t_out), ncol = 4, dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed"))) PEC_orig_1[, "PECsw"] = c(685.06, 610.32, 543.73, 431.56) @@ -21,7 +22,6 @@ test_that("Results of Steps 1/2 calculator for Dummy 2 are reproduced", { dummy_2 <- chent_focus_sw(cwsat = 30, DT50_ws = 26, Koc = 110) res_dummy_2 <- PEC_sw_focus(dummy_2, 1000) - t_out <- c(0, 1, 2, 4) # Checking the first four days should be sufficient for Step 1 PEC_orig_2 = matrix(NA, nrow = length(t_out), ncol = 4, dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed"))) @@ -31,22 +31,89 @@ test_that("Results of Steps 1/2 calculator for Dummy 2 are reproduced", { PEC_orig_2["1", "TWAECsed"] = 319.86 # Later TWAEC not implemented expect_equal(res_dummy_2$PEC[1:4, c(1, 2)], PEC_orig_2[, c(1, 2)], tolerance = 0.01, scale = 1) - expect_equal(res_dummy_2$PEC[1:4, c(3, 4)], PEC_orig_2[, c(3, 4)], tolerance = 10, scale = 1) + expect_equal(res_dummy_2$PEC[1:4, c(3, 4)], PEC_orig_2[, c(3, 4)], tolerance = 0.01, scale = 1) }) -test_that("Results of Steps 1/2 calculator for Dummy 2 are reproduced", { - dummy_2 <- chent_focus_sw(cwsat = 30, DT50_ws = 26, Koc = 110) - res_dummy_2 <- PEC_sw_focus(dummy_2, 1000) +test_that("Results of Steps 1/2 calculator for Dummy 4 are reproduced", { + dummy_4 <- chent_focus_sw(cwsat = 2e-3, DT50_ws = 4, Koc = 970) + res_dummy_4 <- PEC_sw_focus(dummy_4, 7.5, n = 3, i = 14, + scenario = "pome / stone fruit, early") - t_out <- c(0, 1, 2, 4) # Checking the first four days should be sufficient for Step 1 - PEC_orig_2 = matrix(NA, nrow = length(t_out), ncol = 4, + PEC_orig_4 = matrix(NA, nrow = length(t_out), ncol = 4, dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed"))) - PEC_orig_2[, "PECsw"] = c(299.89, 290.86, 283.21, 268.50) - PEC_orig_2["1", "TWAECsw"] = 295.38 # Later TWAEC not implemented - PEC_orig_2[, "PECsed"] = c(319.77, 319.95, 311.53, 295.35) - PEC_orig_2["1", "TWAECsed"] = 319.86 # Later TWAEC not implemented + PEC_orig_4[, "PECsw"] = c(1.82, 1.18, 1.00, 0.70) + PEC_orig_4["1", "TWAECsw"] = 1.50 # Later TWAEC not implemented + PEC_orig_4[, "PECsed"] = c(10.57, 11.49, 9.66, 6.83) + PEC_orig_4["1", "TWAECsed"] = 11.03 # Later TWAEC not implemented - expect_equal(res_dummy_2$PEC[1:4, c(1, 2)], PEC_orig_2[, c(1, 2)], tolerance = 0.01, scale = 1) - expect_equal(res_dummy_2$PEC[1:4, c(3, 4)], PEC_orig_2[, c(3, 4)], tolerance = 10, scale = 1) + expect_equal(res_dummy_4$PEC[1:4, c(1, 2)], PEC_orig_4[, c(1, 2)], tolerance = 0.01, scale = 1) + expect_equal(res_dummy_4$PEC[1:4, c(3, 4)], PEC_orig_4[, c(3, 4)], tolerance = 0.01, scale = 1) +}) + +test_that("Results of Steps 1/2 calculator for Dummy 5 are reproduced", { + dummy_5 <- chent_focus_sw(cwsat = 1.15, DT50_ws = 118, Koc = 860) + res_dummy_5 <- PEC_sw_focus(dummy_5, 75, n = 5, i = 14, + scenario = "vines, early") + + PEC_orig_5 = matrix(NA, nrow = length(t_out), ncol = 4, + dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed"))) + + PEC_orig_5[, "PECsw"] = c(61.60, 59.45, 59.10, 58.41) + PEC_orig_5["1", "TWAECsw"] = 60.53 # Later TWAEC not implemented + PEC_orig_5[, "PECsed"] = c(500.78, 511.28, 508.29, 502.35) + PEC_orig_5["1", "TWAECsed"] = 506.03 # Later TWAEC not implemented + + expect_equal(res_dummy_5$PEC[1:4, c(1, 2)], PEC_orig_5[, c(1, 2)], tolerance = 0.01, scale = 1) + expect_equal(res_dummy_5$PEC[1:4, c(3, 4)], PEC_orig_5[, c(3, 4)], tolerance = 0.01, scale = 1) +}) + +test_that("Results of Steps 1/2 calculator for Dummy 7 are reproduced", { + dummy_7 <- chent_focus_sw(cwsat = 2.60, DT50_ws = 28, Koc = 500) + res_dummy_7 <- PEC_sw_focus(dummy_7, 750, n = 4, i = 14, + scenario = "vines, early") + + PEC_orig_7 = matrix(NA, nrow = length(t_out), ncol = 4, + dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed"))) + + PEC_orig_7[, "PECsw"] = c(626.99, 601.13, 586.43, 558.10) + PEC_orig_7["1", "TWAECsw"] = 614.06 # Later TWAEC not implemented + PEC_orig_7[, "PECsed"] = c(3.0, 3.01, 2.93, 2.79) * 1e3 + PEC_orig_7["1", "TWAECsed"] = 3.01e3 # Later TWAEC not implemented + + expect_equal(res_dummy_7$PEC[1:4, c(1, 2)], PEC_orig_7[, c(1, 2)], tolerance = 0.01, scale = 1) + expect_equal(res_dummy_7$PEC[1:4, c(3, 4)], PEC_orig_7[, c(3, 4)], tolerance = 10, scale = 1) +}) + +test_that("Results of Steps 1/2 calculator for New Dummy (M1-M3) are reproduced", { + new_dummy <- chent_focus_sw(mw = 250, Koc = 100) + M1 <- chent_focus_sw(mw = 100, cwsat = 100, DT50_ws = 100, Koc = 50, max_ws = 0, max_soil = 0.5) + res_M1 <- PEC_sw_focus(new_dummy, 1000, scenario = "cereals, winter", + met = M1) + + PEC_orig_M1 = matrix(NA, nrow = length(t_out), ncol = 4, + dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed"))) + + PEC_orig_M1[, "PECsw"] = c(62.5, 62.07, 61.64, 60.79) + PEC_orig_M1["1", "TWAECsw"] = 62.28 # Later TWAEC not implemented + PEC_orig_M1[, "PECsed"] = c(31.25, 31.03, 30.82, 30.40) + PEC_orig_M1["1", "TWAECsed"] = 31.14 # Later TWAEC not implemented + + expect_equal(res_M1$PEC[1:4, c(1, 2)], PEC_orig_M1[, c(1, 2)], tolerance = 0.01, scale = 1) + expect_equal(res_M1$PEC[1:4, c(3, 4)], PEC_orig_M1[, c(3, 4)], tolerance = 0.01, scale = 1) + + M2 <- chent_focus_sw(mw = 100, cwsat = 100, DT50_ws = 100, Koc = 50, max_ws = 0.5, max_soil = 0) + res_M2 <- PEC_sw_focus(new_dummy, 1000, scenario = "cereals, winter", + met = M2) + + PEC_orig_M2 = matrix(NA, nrow = length(t_out), ncol = 4, + dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed"))) + + PEC_orig_M2[, "PECsw"] = c(64.34, 63.78, 63.34, 62.47) + PEC_orig_M2["1", "TWAECsw"] = 64.06 # Later TWAEC not implemented + PEC_orig_M2[, "PECsed"] = c(31.25, 31.89, 31.67, 31.23) + PEC_orig_M2["1", "TWAECsed"] = 31.57 # Later TWAEC not implemented + + expect_equal(res_M2$PEC[1:4, c(1, 2)], PEC_orig_M2[, c(1, 2)], tolerance = 0.01, scale = 1) + expect_equal(res_M2$PEC[1:4, c(3, 4)], PEC_orig_M2[, c(3, 4)], tolerance = 0.01, scale = 1) }) |