tests/testthat/_snaps/sequence_onehot.md

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

padding and truncating works correctly

Code
  step_sequence_onehot(step_tokenize(rec, text), text, padding = "not pre")
Condition
  Error in `step_sequence_onehot()`:
  ! `padding` must be one of "pre" or "post", not "not pre".

Code
  step_sequence_onehot(step_tokenize(rec, text), text, truncating = "Wrong")
Condition
  Error in `step_sequence_onehot()`:
  ! `truncating` must be one of "pre" or "post", not "Wrong".

Code
  step_sequence_onehot(step_tokenize(rec, text), text, padding = c("pre", "pre"))
Condition
  Error in `step_sequence_onehot()`:
  ! `arg` must be length 1 or a permutation of `c("pre", "post")`.

Code
  step_sequence_onehot(step_tokenize(rec, text), text, truncating = "Wrong")
Condition
  Error in `step_sequence_onehot()`:
  ! `truncating` must be one of "pre" or "post", not "Wrong".

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_sequence_onehot()`:
  Caused by error in `bake()`:
  ! Name collision occurred. The following variable names already exist:
  * `seq1hot_text_1`

bad args

Code
  step_sequence_onehot(recipe(~., data = mtcars), padding = "yes")
Condition
  Error in `step_sequence_onehot()`:
  ! `padding` must be one of "pre" or "post", not "yes".

Code
  step_sequence_onehot(recipe(~., data = mtcars), truncating = "yes")
Condition
  Error in `step_sequence_onehot()`:
  ! `truncating` must be one of "pre" or "post", not "yes".

Code
  prep(step_sequence_onehot(recipe(~., data = mtcars), sequence_length = -4))
Condition
  Error in `step_sequence_onehot()`:
  Caused by error in `prep()`:
  ! `sequence_length` must be a whole number larger than or equal to 0, not the number -4.

Code
  prep(step_sequence_onehot(recipe(~., data = mtcars), prefix = NULL))
Condition
  Error in `step_sequence_onehot()`:
  Caused by error in `prep()`:
  ! `prefix` must be a single string, not `NULL`.

bake method errors when needed non-standard role columns are missing

Code
  bake(trained, new_data = tokenized_test_data[, -1])
Condition
  Error in `step_sequence_onehot()`:
  ! The following required column is missing from `new_data`: text.

empty printing

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Operations 
  * Sequence 1 hot encoding for: <none>

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Training information 
  Training data contained 32 data points and no incomplete rows.

  -- Operations 
  * Sequence 1 hot encoding for: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  `keep_original_cols` was added to `step_sequence_onehot()` after this recipe was created.
  i Regenerate your recipe to avoid this warning.

printing

Code
  print(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Operations 
  * Tokenization for: text
  * Sequence 1 hot encoding for: text

Code
  prep(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Training information 
  Training data contained 4 data points and no incomplete rows.

  -- Operations 
  * Tokenization for: text | Trained
  * Sequence 1 hot encoding for: text | Trained

tidymodels/textrecipes documentation built on June 12, 2025, 7:24 p.m.