library(recipes) library(testthat) n <- 200 set.seed(8575) ex_dat <- data.frame( w = sample(letters[1:3], size = n, replace = TRUE), x = sample(LETTERS[1:2], size = n, replace = TRUE), y = factor(rep_len(month.abb, n)), z = factor(rep_len(month.name, n), ordered = TRUE), stringsAsFactors = FALSE ) test_that("basic functionality", { ex_1 <- recipe(~., data = ex_dat, strings_as_factors = FALSE) %>% step_factor2string(y, z) %>% prep(ex_dat) %>% bake(new_data = NULL) expect_equal(class(ex_1$w), "character") expect_equal(class(ex_1$x), "character") }) test_that("bad args", { expect_snapshot( error = TRUE, recipe(~., data = ex_dat, strings_as_factors = FALSE) %>% step_factor2string(w, x) %>% prep(ex_dat) ) }) # Infrastructure --------------------------------------------------------------- test_that("bake method errors when needed non-standard role columns are missing", { ex_1 <- recipe(~., data = ex_dat, strings_as_factors = FALSE) %>% step_factor2string(y, z) %>% update_role(y, z, new_role = "potato") %>% update_role_requirements(role = "potato", bake = FALSE) %>% prep(ex_dat) expect_snapshot(error = TRUE, bake(ex_1, new_data = ex_dat[, 1:3])) }) test_that("empty printing", { rec <- recipe(mpg ~ ., mtcars) rec <- step_factor2string(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_factor2string(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_factor2string(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", { rec <- recipe(~., data = ex_dat) %>% step_factor2string(y, z) expect_snapshot(print(rec)) expect_snapshot(prep(rec)) }) test_that("0 and 1 rows data work in bake method", { data <- iris rec <- recipe(~., data) %>% step_factor2string(all_nominal_predictors()) %>% prep() expect_identical( nrow(bake(rec, slice(data, 1))), 1L ) expect_identical( nrow(bake(rec, slice(data, 0))), 0L ) })