Update usage of expect_error()

tests/testthat/_snaps/constructor.md

@@ -29,3 +29,27 @@
       Error in `new_model()`:
       ! `blueprint` must be a <hardhat_blueprint>, not the number 1.
 
+# `new_scalar()` must have elements
+
+    Code
+      new_scalar(list())
+    Condition
+      Error in `check_elems()`:
+      ! `elems` must be a list of length 1 or greater.
+
+# `new_scalar()` must have unique names
+
+    Code
+      new_scalar(list(x = 1, x = 2))
+    Condition
+      Error in `check_elems()`:
+      ! `elems` must have unique names.
+
+# `new_scalar()` must have no extra attributes
+
+    Code
+      new_scalar(x)
+    Condition
+      Error in `check_elems()`:
+      ! `elems` must have no attributes (apart from names).
+

tests/testthat/_snaps/forge-formula.md

@@ -1,3 +1,67 @@
+# asking for the outcome when it isn't there fails
+
+    Code
+      forge(example_train2, x1$blueprint, outcomes = TRUE)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'fac_1'.
+
+---
+
+    Code
+      forge(example_train2, x2$blueprint, outcomes = TRUE)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'fac_1'.
+
+# new_data can only be a data frame / matrix
+
+    Code
+      forge("hi", x1$blueprint)
+    Condition
+      Error in `forge()`:
+      ! The class of `new_data`, 'character', is not recognized.
+
+---
+
+    Code
+      forge("hi", x2$blueprint)
+    Condition
+      Error in `forge()`:
+      ! The class of `new_data`, 'character', is not recognized.
+
+# missing predictor columns fail appropriately
+
+    Code
+      forge(example_train[, 1, drop = FALSE], x1$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'num_2'.
+
+---
+
+    Code
+      forge(example_train[, 1, drop = FALSE], x2$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'num_2'.
+
+---
+
+    Code
+      forge(example_train[, 3, drop = FALSE], x1$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'num_1', 'num_2'.
+
+---
+
+    Code
+      forge(example_train[, 3, drop = FALSE], x2$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'num_1', 'num_2'.
+
 # novel predictor levels are caught
 
     Code

tests/testthat/_snaps/forge-recipe.md

@@ -1,3 +1,35 @@
+# asking for the outcome when it isn't there fails
+
+    Code
+      forge(iris2, x1$blueprint, outcomes = TRUE)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'Species'.
+
+---
+
+    Code
+      forge(iris2, x2$blueprint, outcomes = TRUE)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'Species'.
+
+# missing predictor columns fail appropriately
+
+    Code
+      forge(iris[, 1, drop = FALSE], x$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'Sepal.Width'.
+
+---
+
+    Code
+      forge(iris[, 3, drop = FALSE], x$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'Sepal.Length', 'Sepal.Width'.
+
 # novel predictor levels are caught
 
     Code

tests/testthat/_snaps/forge-xy.md

@@ -1,3 +1,79 @@
+# asking for the outcome is special cased for vector `y` values
+
+    Code
+      forge(iris, x1$blueprint, outcomes = TRUE)
+    Condition
+      Error in `validate_missing_name_isnt_.outcome()`:
+      ! The following required columns are missing: '.outcome'.
+
+      (This indicates that `mold()` was called with a vector for `y`. When this is the case, and the outcome columns are requested in `forge()`, `new_data` must include a column with the automatically generated name, '.outcome', containing the outcome.)
+
+---
+
+    Code
+      forge(iris, x2$blueprint, outcomes = TRUE)
+    Condition
+      Error in `validate_missing_name_isnt_.outcome()`:
+      ! The following required columns are missing: '.outcome'.
+
+      (This indicates that `mold()` was called with a vector for `y`. When this is the case, and the outcome columns are requested in `forge()`, `new_data` must include a column with the automatically generated name, '.outcome', containing the outcome.)
+
+# new_data can only be a data frame / matrix
+
+    Code
+      forge("hi", x1$blueprint)
+    Condition
+      Error in `forge()`:
+      ! The class of `new_data`, 'character', is not recognized.
+
+---
+
+    Code
+      forge("hi", x2$blueprint)
+    Condition
+      Error in `forge()`:
+      ! The class of `new_data`, 'character', is not recognized.
+
+---
+
+    Code
+      forge("hi", x3$blueprint)
+    Condition
+      Error in `forge()`:
+      ! The class of `new_data`, 'character', is not recognized.
+
+# missing predictor columns fail appropriately
+
+    Code
+      forge(iris[, 1, drop = FALSE], x1$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'Sepal.Width'.
+
+---
+
+    Code
+      forge(iris[, 1, drop = FALSE], x2$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'Sepal.Width'.
+
+---
+
+    Code
+      forge(iris[, 3, drop = FALSE], x1$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'Sepal.Length', 'Sepal.Width'.
+
+---
+
+    Code
+      forge(iris[, 3, drop = FALSE], x2$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'Sepal.Length', 'Sepal.Width'.
+
 # novel predictor levels are caught
 
     Code

tests/testthat/_snaps/levels.md

@@ -0,0 +1,8 @@
+# Can extract levels from an outcome
+
+    Code
+      get_outcome_levels("a")
+    Condition
+      Error in `standardize()`:
+      ! `y` is of unknown type 'character'.
+

tests/testthat/_snaps/model-offset.md

@@ -0,0 +1,16 @@
+# Only numeric columns can be offsets
+
+    Code
+      mold(~ Sepal.Width + offset(Species), iris)
+    Condition
+      Error in `model_offset()`:
+      ! Column, 'offset(Species)', is tagged as an offset, but is not numeric. All offsets must be numeric.
+
+# offset columns are stored as predictors
+
+    Code
+      forge(iris2, x$blueprint)
+    Condition
+      Error in `validate_column_names()`:
+      ! The following required columns are missing: 'Sepal.Length'.
+

tests/testthat/_snaps/mold-formula.md

@@ -121,6 +121,79 @@
       ! Functions involving factors or characters have been detected on the RHS of `formula`. These are not allowed when `indicators = "none"`.
       i Functions involving factors were detected for "fac_1" in `paste0(fac_1)`.
 
+# formulas with non-existent columns are caught
+
+    Code
+      mold(fac_1 ~ y + z, example_train)
+    Condition
+      Error in `get_all_predictors()`:
+      ! The following predictors were not found in `data`: 'y', 'z'.
+
+---
+
+    Code
+      mold(fac_1 ~ y + z, example_train, blueprint = bp)
+    Condition
+      Error in `get_all_predictors()`:
+      ! The following predictors were not found in `data`: 'y', 'z'.
+
+---
+
+    Code
+      mold(y + z ~ fac_1, example_train)
+    Condition
+      Error in `get_all_outcomes()`:
+      ! The following outcomes were not found in `data`: 'y', 'z'.
+
+---
+
+    Code
+      mold(y + z ~ fac_1, example_train, blueprint = bp)
+    Condition
+      Error in `get_all_outcomes()`:
+      ! The following outcomes were not found in `data`: 'y', 'z'.
+
+# global environment variables cannot be used
+
+    Code
+      y <- 1
+      mold(fac_1 ~ y, example_train)
+    Condition
+      Error in `get_all_predictors()`:
+      ! The following predictors were not found in `data`: 'y'.
+
+# cannot manually remove intercept in the formula itself
+
+    Code
+      mold(fac_1 ~ y + 0, example_train)
+    Condition
+      Error in `mold_formula_default_clean()`:
+      ! `formula` must not contain the intercept removal term: `+ 0` or `0 +`.
+
+---
+
+    Code
+      mold(fac_1 ~ y + 0, example_train, blueprint = bp)
+    Condition
+      Error in `mold_formula_default_clean()`:
+      ! `formula` must not contain the intercept removal term: `+ 0` or `0 +`.
+
+---
+
+    Code
+      mold(fac_1 ~ 0 + y, example_train)
+    Condition
+      Error in `mold_formula_default_clean()`:
+      ! `formula` must not contain the intercept removal term: `+ 0` or `0 +`.
+
+---
+
+    Code
+      mold(fac_1 ~ y - 1, example_train)
+    Condition
+      Error in `mold_formula_default_clean()`:
+      ! `formula` must not contain the intercept removal term: `- 1`.
+
 # RHS with _only_ intercept related terms are caught
 
     Code
@@ -169,6 +242,22 @@
       Error in `mold_formula_default_clean()`:
       ! `formula` must not contain the intercept removal term, `0`.
 
+# `data` is validated
+
+    Code
+      mold(fac_1 ~ num_2, 1)
+    Condition
+      Error in `mold_formula_default_clean()`:
+      ! `data` must be a data frame or a matrix, not the number 1.
+
+---
+
+    Code
+      mold(fac_1 ~ num_2, 1, blueprint = bp)
+    Condition
+      Error in `mold_formula_default_clean()`:
+      ! `data` must be a data frame or a matrix, not the number 1.
+
 # LHS of the formula cannot contain interactions
 
     Code
@@ -223,6 +312,22 @@
       ! Interaction terms can't be specified on the LHS of `formula`.
       i The following interaction term was found: `num_1/num_2`.
 
+# `.` notation fails on the LHS
+
+    Code
+      mold(. ~ fac_1, example_train)
+    Condition
+      Error in `get_all_outcomes()`:
+      ! The left hand side of the formula cannot contain `.`
+
+---
+
+    Code
+      mold(. ~ fac_1, example_train, blueprint = bp)
+    Condition
+      Error in `get_all_outcomes()`:
+      ! The left hand side of the formula cannot contain `.`
+
 # `blueprint` is validated
 
     Code

tests/testthat/_snaps/mold-recipe.md

@@ -0,0 +1,8 @@
+# `data` is validated
+
+    Code
+      mold(recipes::recipe(Species ~ Sepal.Length, data = iris), 1)
+    Condition
+      Error in `mold_recipe_default_clean()`:
+      ! `data` must be a data frame or a matrix, not the number 1.
+