test_that("ud_convert2", {
# make sure that the conversion from kg to g works properly,
# there are 1000 g in 1 kg.
out <- ud_convert2(x = '1', from = 'kg', 'g')
testthat::expect_equal(out, 1000)
# Make sure it works units in the per year format.
out <- ud_convert2(x = '10', from = 'Tg year-1', to = 'Mt year-1')
testthat::expect_equal(out, 10)
# Should throw an error with a bad unit conversion.
testthat::expect_error(ud_convert2(x = '1', from = 'fake', 'g'))
})
test_that('complete_missing_years', {
test_data <- rbind(data.table::data.table(scenario = 'test1',
variable = 'bc',
units = 'kg',
year = c(1994:1996, 1999),
value = as.double(1:4)),
data.table::data.table(scenario = 'test2',
variable = 'bc',
units = 'kg',
year = c(1994:1996, 1998),
value = as.double(4:7)))
testthat::expect_error(complete_missing_years(data = test_data[, list(variable)], expected_years = 1990:2000))
out <- complete_missing_years(data = test_data, expected_years = 1990:2000)
testthat::expect_true(all(1990:2000 %in% out$year))
})
test_that('process_carbon_cycle_emissions', {
df <- data.frame("year" = 1900, "variable"= hector::EMISSIONS_BC(),"units" = "fake", "value" = 10)
expect_error(process_carbon_cycle_emissions(df), label = "dat does not have all of these name(s): 'year', 'variable', 'units', 'value', 'scenario'")
df <- data.frame("year" = 1900, "variable"= hector::FFI_EMISSIONS(),"scenario" = "fake", "value" = 10,
units = hector::getunits(hector::FFI_EMISSIONS()))
expect_error(process_carbon_cycle_emissions(df),
label = 'Elements 2 of c("ffi_emissions", "luc_emissions") %in% unique(dat[["variable"]]) are not true')
df <- data.table(year = rep(1905:1910, 2),
variable= rep(x = c(hector::FFI_EMISSIONS(), hector::LUC_EMISSIONS()), each = 6),
scenario = "ssp119",
units = hector::getunits(hector::FFI_EMISSIONS()),
value = rep(2*5:10, 2))
out <- process_carbon_cycle_emissions(df)
expect_equal(length(unique(out$variable)), 4)
})
test_that("check_cols", {
data <- data.frame("col1" = sample(1:10, size = 5),
"col2" = sample(1:10, size = 5))
expect_true(check_cols(dat = data, req = c("col1", "col2")))
expect_error(check_cols(dat = data, req = c("fake")), "missing columns: fake")
})
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