# test_that("tune_resample runs nested tuning with workflows", {
#   skip_if_not_installed("tune")
#   skip_if_not_installed("dials")
#   skip_if_not_installed("glmnet")
#   skip_if_not_installed("recipes")
#   skip_if_not_installed("rsample")
#   skip_if_not_installed("yardstick")
#   skip_if_not_installed("workflows")
#
#   df <- make_class_df(24)
#   splits <- make_split_plan_quiet(df, outcome = "outcome",
#                               mode = "subject_grouped", group = "subject",
#                               v = 3, nested = TRUE, stratify = TRUE, seed = 1)
#
#   spec <- parsnip::logistic_reg(penalty = tune::tune(), mixture = 1) |>
#     parsnip::set_engine("glmnet")
#   rec <- recipes::recipe(outcome ~ x1 + x2, data = df)
#
#   tuned <- tune_resample(df, outcome = "outcome", splits = splits,
#                          learner = spec, preprocess = rec, grid = 3,
#                          metrics = c("auc", "accuracy"), seed = 1)
#
#   expect_s3_class(tuned, "LeakTune")
#   expect_true(nrow(tuned$metrics) > 0)
#   expect_true(nrow(tuned$best_params) > 0)
# })