library(textrecipes)
library(recipes)
library(tibble)
text <- tibble(text = c(
"I would not eat them here or there.",
"I would not eat them anywhere.",
"I would not eat green eggs and ham.",
"I do not like them, Sam-I-am."
))
test_that("lemmatization works", {
skip_on_cran()
skip_if_no_python_or_no_spacy()
rec <- recipe(~text, data = text) %>%
step_tokenize(all_predictors(), engine = "spacyr") %>%
step_lemma(all_predictors())
prepped_data <- rec %>%
prep() %>%
bake(new_data = NULL)
expect_s3_class(prepped_data$text, "textrecipes_tokenlist")
expect_equal(
vctrs::field(prepped_data$text, "tokens"),
list(
c("I", "would", "not", "eat", "they", "here", "or", "there", "."),
c("I", "would", "not", "eat", "they", "anywhere", "."),
c("I", "would", "not", "eat", "green", "egg", "and", "ham", "."),
c("I", "do", "not", "like", "they", ",", "Sam", "-", "I", "-", "be", ".")
)
)
expect_null(
attr(prepped_data$text, "lemma")
)
})
test_that("lemmatization errors if lemma attribute doesn't exists", {
rec <- recipe(~text, data = text) %>%
step_tokenize(all_predictors()) %>%
step_lemma(all_predictors())
expect_snapshot(
error = TRUE,
prep(rec)
)
})
# Infrastructure ---------------------------------------------------------------
test_that("bake method errors when needed non-standard role columns are missing", {
skip_on_cran()
skip_if_no_python_or_no_spacy()
tokenized_test_data <- recipe(~text, data = text) %>%
step_tokenize(all_predictors(), engine = "spacyr") %>%
prep() %>%
bake(new_data = NULL)
rec <- recipe(tokenized_test_data) %>%
step_lemma(text) %>%
update_role(text, new_role = "potato") %>%
update_role_requirements(role = "potato", bake = FALSE)
trained <- prep(rec)
expect_error(
bake(trained, new_data = tokenized_test_data[, -1]),
class = "new_data_missing_column"
)
})
test_that("empty printing", {
rec <- recipe(mpg ~ ., mtcars)
rec <- step_lemma(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_lemma(rec1)
rec1 <- prep(rec1, mtcars)
rec2 <- prep(rec2, mtcars)
baked1 <- bake(rec1, mtcars)
baked2 <- bake(rec2, mtcars)
expect_identical(baked1, baked1)
})
test_that("empty selection tidy method works", {
rec <- recipe(mpg ~ ., mtcars)
rec <- step_lemma(rec)
expect <- tibble(terms = character(), id = character())
expect_identical(tidy(rec, number = 1), expect)
rec <- prep(rec, mtcars)
expect_identical(tidy(rec, number = 1), expect)
})
test_that("printing", {
skip_on_cran()
skip_if_no_python_or_no_spacy()
rec <- recipe(~text, data = text) %>%
step_tokenize(all_predictors(), engine = "spacyr") %>%
step_lemma(all_predictors())
expect_snapshot(print(rec))
expect_snapshot(prep(rec))
})
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