test_that("Simulated carbon is correct", {
# Expected output
real_out <- as.matrix(structure(c(
40.5, 35.2177536379588, 17.5375289220381, 8.17949877248404,
4.6057473374274, 30.5, 3.7080866621023, 1.82968250966202, 0.840045164509876,
0.466335508642046, 20.3, 13.393577282265, 5.92172186727114, 1.94116296851444,
0.619738877088547, 10.3, 20.0008636090304, 25.6552313829448,
25.0740864612265, 20.4820925829699, 0, 0.493026914441875, 0.954475314649129,
1.28708059992064, 1.51383849850536), .Dim = c(5L, 5L)))
# Simulated output
simulated_out <- run_yasso(
par = sample_parameters,
n_runs = sample_data_run$n_runs,
time = sample_data_run$time,
temp = sample_data_run$temp,
prec = sample_data_run$prec,
init = sample_data_run$init,
litter = sample_data_run$litter,
wsize = sample_data_run$wsize,
leac = sample_data_run$leac
)
# Compare
expect_equal(simulated_out, real_out, tolerance = 1e-4)
})
test_that("Steady state predictions are correct", {
# Expected output
real_out <- as.matrix(structure(c(
40.5, 62.9975581347448, 71.7491909991854, 80.500823863626,
89.2524567280666, 30.5, 6.95824142758275, 7.95622030996732, 8.95419919235189,
9.95217807473646, 20.3, 25.6575789594938, 28.4730058325039, 31.2884327055141,
34.1038595785242, 10.3, 299.547585467295, 329.938996687453, 360.330407907612,
390.72181912777, 0, 406.312700833162, 459.969829898441, 513.62695896372,
567.284088028999), .Dim = c(5L, 5L)))
# Simulated output
simulated_out <- run_yasso(
par = sample_parameters,
n_runs = sample_data_run$n_runs,
time = sample_data_run$time,
temp = sample_data_run$temp,
prec = sample_data_run$prec,
init = sample_data_run$init,
litter = sample_data_run$litter + matrix(1:16, nrow = 4),
wsize = sample_data_run$wsize,
leac = sample_data_run$leac,
sspred = 1L
)
# Compare
expect_equal(simulated_out, real_out, tolerance = 1e-4)
})
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