Nothing
test_that("checks whether the uniqueness of columns in a new dataset matches the expected uniqueness", {
mtcars_test <- return_mtcars_testfile()
# column mpg is editted to be is_unique = True in field_info.csv
metadata <- get_current_documentation() %>%
dplyr::mutate(is_unique_column = ifelse(preferred_field_name == "mpg", TRUE, FALSE))
warnings_captured <- capture_warnings(assert_field_distinctness(mtcars_test, metadata))
expect_true(length(warnings_captured) > 0)
})
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