library(testthat)
library(recipes)
skip_if_not_installed("modeldata")
data(covers, package = "modeldata")
covers$rows <- 1:nrow(covers)
covers$ch_rows <- paste(1:nrow(covers))
rec <- recipe(~ description + rows + ch_rows, covers)
test_that("default options", {
rec1 <- rec %>%
step_regex(description, pattern = "(rock|stony)") %>%
step_regex(description, result = "all ones")
rec1 <- prep(rec1, training = covers)
res1 <- bake(rec1, new_data = covers)
expect_equal(
res1$X.rock.stony.,
as.numeric(grepl("(rock|stony)", covers$description))
)
expect_equal(res1$`all ones`, rep(1, nrow(covers)))
expect_true(is.integer(res1$X.rock.stony.))
expect_true(is.integer(res1$`all ones`))
})
test_that("nondefault options", {
rec2 <- rec %>%
step_regex(description,
pattern = "(rock|stony)",
result = "rocks",
options = list(fixed = TRUE)
)
rec2 <- prep(rec2, training = covers)
res2 <- bake(rec2, new_data = covers)
expect_equal(res2$rocks, rep(0, nrow(covers)))
})
test_that("bad selector(s)", {
expect_snapshot(error = TRUE,
rec %>% step_regex(description, rows, pattern = "(rock|stony)")
)
rec4 <- rec %>% step_regex(rows, pattern = "(rock|stony)")
expect_snapshot(error = TRUE,
prep(rec4, training = covers)
)
})
test_that("check_name() is used", {
dat <- iris
rec <- recipe(~., data = dat) %>%
step_regex(Species, result = "Sepal.Width")
expect_snapshot(
error = TRUE,
prep(rec, training = dat)
)
})
test_that("error on multiple selections", {
mtcars$vs <- as.character(mtcars$vs)
mtcars$am <- as.character(mtcars$am)
expect_snapshot(
error = TRUE,
recipe(~., data = mtcars) %>%
step_regex(vs, am)
)
})
test_that("checks for grepl arguments", {
expect_snapshot(
error = TRUE,
recipe(~., data = mtcars) %>%
step_regex(options = list(not_real_option = TRUE))
)
})
# Infrastructure ---------------------------------------------------------------
test_that("bake method errors when needed non-standard role columns are missing", {
mt_tibble <- mtcars %>%
tibble::rownames_to_column(var = "make_model")
rec <-
recipe(mpg ~ ., data = mt_tibble) %>%
step_regex(make_model, pattern = "Toyota", result = "is_toyota") %>%
update_role(make_model, new_role = "potato") %>%
update_role_requirements(role = "potato", bake = FALSE) %>%
prep(mt_tibble)
expect_snapshot(error = TRUE, bake(rec, new_data = mt_tibble[, c(-1)]))
})
test_that("empty printing", {
rec <- recipe(mpg ~ ., mtcars)
rec <- step_regex(rec)
expect_snapshot(rec)
rec <- prep(rec, mtcars)
expect_snapshot(rec)
})
test_that("empty selection prep/bake is a no-op", {
rec1 <- recipe(mpg ~ ., mtcars)
rec2 <- step_regex(rec1)
rec1 <- prep(rec1, mtcars)
rec2 <- prep(rec2, mtcars)
baked1 <- bake(rec1, mtcars)
baked2 <- bake(rec2, mtcars)
expect_identical(baked1, baked2)
})
test_that("empty selection tidy method works", {
rec <- recipe(mpg ~ ., mtcars)
rec <- step_regex(rec)
expect <- tibble(terms = character(), result = character(), id = character())
expect_identical(tidy(rec, number = 1), expect)
rec <- prep(rec, mtcars)
expect_identical(tidy(rec, number = 1), expect)
})
test_that("keep_original_cols works", {
new_names <- c("rocks")
rec <- recipe(~ description, covers) %>%
step_regex(description, pattern = "(rock|stony)", result = "rocks",
keep_original_cols = FALSE)
rec <- prep(rec)
res <- bake(rec, new_data = NULL)
expect_equal(
colnames(res),
new_names
)
rec <- recipe(~ description, covers) %>%
step_regex(description, pattern = "(rock|stony)", result = "rocks",
keep_original_cols = TRUE)
rec <- prep(rec)
res <- bake(rec, new_data = NULL)
expect_equal(
colnames(res),
c("description", new_names)
)
})
test_that("keep_original_cols - can prep recipes with it missing", {
rec <- recipe(~ description, covers) %>%
step_regex(description, pattern = "(rock|stony)")
rec$steps[[1]]$keep_original_cols <- NULL
expect_snapshot(
rec <- prep(rec)
)
expect_no_error(
bake(rec, new_data = covers)
)
})
test_that("printing", {
rec <- recipe(~ description + rows + ch_rows, covers) %>%
step_regex(description, pattern = "(rock|stony)")
expect_snapshot(print(rec))
expect_snapshot(prep(rec))
})
test_that("bad args", {
expect_snapshot(
rec %>%
step_regex(description, pattern = character(0)) %>%
prep(),
error = TRUE
)
})
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