tests/testthat/test-stem.R

In EmilHvitfeldt/textrecipes: Extra 'Recipes' for Text Processing

test_data <- 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."
  )
)

rec <- recipe(~., data = test_data)

test_that("stemming is done correctly", {
  rec <- rec |>
    step_tokenize(text) |>
    step_stem(text)

  obj <- rec |>
    prep()

  expect_equal(
    tokenizers::tokenize_words(test_data$text[1])[[1]] |>
      SnowballC::wordStem(),
    bake(obj, new_data = NULL) |>
      slice(1) |>
      pull(text) |>
      vctrs::field("tokens") |>
      unlist()
  )

  expect_equal(dim(tidy(rec, 2)), c(1, 3))
  expect_equal(dim(tidy(obj, 2)), c(1, 3))
})

test_that("custom stemmer works", {
  custom_stem_fun <- function(x) substr(x, 1, 2)

  rec <- rec |>
    step_tokenize(text) |>
    step_stem(text, custom_stemmer = custom_stem_fun)

  obj <- rec |>
    prep()

  expect_equal(
    tokenizers::tokenize_words(test_data$text[1])[[1]] |>
      custom_stem_fun(),
    bake(obj, new_data = NULL) |>
      slice(1) |>
      pull(text) |>
      vctrs::field("tokens") |>
      unlist()
  )

  expect_equal(dim(tidy(rec, 2)), c(1, 3))
  expect_equal(dim(tidy(obj, 2)), c(1, 3))
})

test_that("arguments are passed by options", {
  data <- tibble(y = 0, text = "коты")

  expect_equal(
    recipe(y ~ ., data = data) |>
      step_tokenize(text) |>
      step_stem(text, options = list(language = "russian")) |>
      prep(data) |>
      bake(new_data = NULL) |>
      pull(text) |>
      vctrs::field("tokens"),
    list("кот")
  )
})

test_that("bad args", {
  expect_snapshot(
    error = TRUE,
    recipe(~., data = mtcars) |>
      step_stem(custom_stemmer = "yes") |>
      prep()
  )
})

# Infrastructure ---------------------------------------------------------------

test_that("bake method errors when needed non-standard role columns are missing", {
  tokenized_test_data <- recipe(~text, data = test_data) |>
    step_tokenize(text) |>
    prep() |>
    bake(new_data = NULL)

  rec <- recipe(tokenized_test_data) |>
    update_role(text, new_role = "predictor") |>
    step_stem(text) |>
    update_role(text, new_role = "potato") |>
    update_role_requirements(role = "potato", bake = FALSE)

  trained <- prep(rec, training = tokenized_test_data, verbose = FALSE)

  expect_snapshot(
    error = TRUE,
    bake(trained, new_data = tokenized_test_data[, -1])
  )
})

test_that("empty printing", {
  rec <- recipe(mpg ~ ., mtcars)
  rec <- step_stem(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_stem(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_stem(rec)

  expect <- tibble(
    terms = character(),
    is_custom_stemmer = logical(),
    id = character()
  )

  expect_identical(tidy(rec, number = 1), expect)

  rec <- prep(rec, mtcars)

  expect_identical(tidy(rec, number = 1), expect)
})

test_that("printing", {
  rec <- rec |>
    step_tokenize(text) |>
    step_stem(text)

  expect_snapshot(print(rec))
  expect_snapshot(prep(rec))
})