context('day_dummies')
test_that('day_dummies returns NULL for 0 measurements per day or for one row', {
expect_null(autovarCore:::day_dummies(40, 0))
expect_null(autovarCore:::day_dummies(1, 3))
expect_null(autovarCore:::day_dummies(1, 1))
})
test_that('day_dummies calls seasonal_dummy_columns correctly', {
called_count <<- 0
calling_args <<- NULL
with_mock(
`autovarCore:::seasonal_dummy_columns` = function(...) {
called_count <<- called_count + 1
calling_args <<- list(...)
'testresult'
},
expect_equal(autovarCore:::day_dummies(15, 5),
'testresult')
)
expect_equal(called_count, 1)
expect_equal(calling_args, list(out_length = 15, period = 7, repetitions = 5, dummy_name_prefix = 'day_'))
rm(list = c('called_count', 'calling_args'), pos = '.GlobalEnv')
})
test_that('day_dummies returns the correct result', {
column_names <- c('day_1', 'day_2')
expected_result <- matrix(NA,
nrow = 9,
ncol = 2,
dimnames = list(NULL, column_names))
expected_result[, 1] <- c(1, 1, 1, 1, 0, 0, 0, 0, 0)
expected_result[, 2] <- c(0, 0, 0, 0, 1, 1, 1, 1, 0)
expect_equal(autovarCore:::day_dummies(9, 4),
expected_result)
column_names <- c('day_1', 'day_2', 'day_3', 'day_4', 'day_5', 'day_6')
expected_result <- matrix(NA,
nrow = 9,
ncol = 6,
dimnames = list(NULL, column_names))
expected_result[, 1] <- c(1, 0, 0, 0, 0, 0, 0, 1, 0)
expected_result[, 2] <- c(0, 1, 0, 0, 0, 0, 0, 0, 1)
expected_result[, 3] <- c(0, 0, 1, 0, 0, 0, 0, 0, 0)
expected_result[, 4] <- c(0, 0, 0, 1, 0, 0, 0, 0, 0)
expected_result[, 5] <- c(0, 0, 0, 0, 1, 0, 0, 0, 0)
expected_result[, 6] <- c(0, 0, 0, 0, 0, 1, 0, 0, 0)
expect_equal(autovarCore:::day_dummies(9, 1),
expected_result)
})
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