test_that("param ranges", {
  expect_equal(min_n(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(sample_size(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(learn_rate(c(.1, .9))$range, list(lower = 0.1, upper = 0.9))
  expect_equal(loss_reduction(c(.1, .9))$range, list(lower = 0.1, upper = 0.9))
  expect_equal(cost_complexity(c(.1, .9))$range, list(lower = 0.1, upper = 0.9))
  expect_equal(epochs(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(degree()$range, list(lower = 1, upper = 3))
  expect_equal(degree_int()$range, list(lower = 1L, upper = 3L))
  expect_equal(spline_degree()$range, list(lower = 1L, upper = 10L))
  expect_equal(spline_degree(c(2L, 5L))$range, list(lower = 2L, upper = 5L))
  expect_equal(prod_degree(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(num_terms(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(num_comp(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(cost(c(-2.0, -1.0))$range, list(lower = -2, upper = -1))
  expect_equal(scale_factor(c(-2.0, -1.0))$range, list(lower = -2, upper = -1))
  expect_equal(svm_margin(c(.1, .15))$range, list(lower = .1, upper = .15))
  expect_equal(deg_free(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(hidden_units(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(batch_size(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(Laplace(c(.1, .9))$range, list(lower = 0.1, upper = 0.9))
  expect_equal(dist_power(c(.1, .9))$range, list(lower = 0.1, upper = 0.9))
  expect_equal(threshold(c(.1, .15))$range, list(lower = .1, upper = .15))
  expect_equal(weight(c(-2.0, -1.0))$range, list(lower = -2, upper = -1))
  expect_equal(max_times(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(min_times(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(max_tokens(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(window_size(c(3L, 5L))$range, list(lower = 3L, upper = 5L))
  expect_equal(neighbors()$range, list(lower = 1L, upper = 10L))
  expect_equal(neighbors(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(num_breaks()$range, list(lower = 2L, upper = 10L))
  expect_equal(num_breaks(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(min_unique()$range, list(lower = 5L, upper = 15L))
  expect_equal(min_unique(1:2)$range, list(lower = 1L, upper = 2L))
  expect_equal(freq_cut(c(1.0, 2.0))$range, list(lower = 1, upper = 2))
  expect_equal(unique_cut(c(1.0, 2.0))$range, list(lower = 1, upper = 2))
  expect_equal(over_ratio(c(.5, 1.5))$range, list(lower = .5, upper = 1.5))
  expect_equal(under_ratio(c(.5, 1.5))$range, list(lower = .5, upper = 1.5))
  expect_equal(rbf_sigma(c(-2.0, -1.0))$range, list(lower = -2, upper = -1))
  expect_equal(kernel_offset(c(0.0, 1.0))$range, list(lower = 0, upper = 1))
  expect_equal(min_dist(c(-2.0, -1.0))$range, list(lower = -2, upper = -1))
  expect_equal(sample_prop(c(.5, .6))$range, list(lower = .5, upper = .6))
  expect_equal(num_hash(1:2)$range, list(lower = 1, upper = 2))
  expect_equal(smoothness(c(.25, 1.75))$range, list(lower = .25, upper = 1.75))
  expect_equal(predictor_prop(c(.1, .5))$range, list(lower = .1, upper = .5))
  expect_equal(num_random_splits(c(7L, 15L))$range, list(lower = 7L, upper = 15L))
  expect_equal(lower_quantile(c(.1, .5))$range, list(lower = .1, upper = .5))
  expect_equal(significance_threshold(c(-3, -2))$range, list(lower = -3, upper = -2))
  expect_equal(regularization_factor(c(.1, .5))$range, list(lower = .1, upper = .5))
  expect_equal(confidence_factor(c(-1, -.5))$range, list(lower = -1, upper = -.5))
  expect_equal(rule_bands(c(5L, 10L))$range, list(lower = 5L, upper = 10L))
  expect_equal(max_rules(c(5L, 10L))$range, list(lower = 5L, upper = 10L))
  expect_equal(extrapolation(c(1, 10))$range, list(lower = 1, upper = 10))
  expect_equal(momentum(c(.1, .5))$range, list(lower = .1, upper = .5))
  expect_equal(stop_iter(c(7L, 15L))$range, list(lower = 7L, upper = 15L))
  expect_equal(conditional_min_criterion(c(1, 2))$range, list(lower = 1, upper = 2))
  expect_equal(adjust_deg_free(c(1 / 2, 3.0))$range, list(lower = 1 / 2, upper = 3.0))
  expect_equal(scale_pos_weight(c(1 / 2, 3.0))$range, list(lower = 1 / 2, upper = 3.0))
  expect_equal(prior_slab_dispersion(c(1, 2))$range, list(lower = 1, upper = 2))
  expect_equal(prior_mixture_threshold(c(.1, .5))$range, list(lower = .1, upper = .5))
  expect_equal(shrinkage_correlation(c(.1, .5))$range, list(lower = .1, upper = .5))
  expect_equal(shrinkage_variance(c(.1, .5))$range, list(lower = .1, upper = .5))
  expect_equal(shrinkage_frequencies(c(.1, .5))$range, list(lower = .1, upper = .5))
  expect_equal(penalty_L1(c(-5, 3))$range, list(lower = -5, upper = 3))
  expect_equal(penalty_L2(c(-5, 3))$range, list(lower = -5, upper = 3))
  expect_equal(class_weights(c(1, 5))$range, list(lower = 1, upper = 5))
  expect_equal(prior_terminal_node_coef(c(.1, .5))$range, list(lower = .1, upper = .5))
  expect_equal(prior_terminal_node_expo(c(1, 2))$range, list(lower = 1, upper = 2))
  expect_equal(prior_outcome_range(c(1, 5))$range, list(lower = 1, upper = 5))
  expect_equal(num_knots(c(1, 5))$range, list(lower = 1, upper = 5))
  expect_equal(vocabulary_size(c(1000, 10000))$range, list(lower = 1000, upper = 10000))
  expect_equal(rate_initial(c(-2, -1))$range, list(lower = -2, upper = -1))
  expect_equal(rate_largest(c(-2, -1))$range, list(lower = -2, upper = -1))
  expect_equal(rate_reduction(c(1 / 3, 2 / 3))$range, list(lower = 1 / 3, upper = 2 / 3))
  expect_equal(rate_steps(c(7L, 15L))$range, list(lower = 7L, upper = 15L))
  expect_equal(rate_step_size(c(7L, 15L))$range, list(lower = 7L, upper = 15L))
  expect_equal(rate_decay(c(1, 2))$range, list(lower = 1, upper = 2))
  expect_equal(num_clusters(c(1, 2))$range, list(lower = 1, upper = 2))
  expect_equal(num_leaves(c(31,100))$range, list(lower = 31, upper = 100))
  expect_equal(trim_amount(c(0.1, 0.4))$range, list(lower = 0.1, upper = 0.4))
  expect_equal(num_runs(c(2, 100))$range, list(lower = 2, upper = 100))
  expect_equal(harmonic_frequency(c(2, 100))$range, list(lower = 2, upper = 100))
  expect_equal(validation_set_prop(c(0.1, 0.4))$range, list(lower = 0.1, upper = 0.4))
  expect_equal(target_weight(c(0.1, 0.4))$range, list(lower = 0.1, upper = 0.4))
})


test_that("param values", {
  expect_equal(token(letters[1:3])$values, letters[1:3])
  expect_equal(weight_scheme(letters[1:3])$values, letters[1:3])
  expect_equal(prune_method(letters[1:3])$values, letters[1:3])
  expect_equal(weight_func(letters[1:3])$values, letters[1:3])
  expect_equal(weight_func(letters[1:3])$values, letters[1:3])
  expect_equal(signed_hash(TRUE)$values, TRUE)
  expect_equal(regularize_depth(TRUE)$values, TRUE)
  expect_equal(no_global_pruning(TRUE)$values, TRUE)
  expect_equal(predictor_winnowing(TRUE)$values, TRUE)
  expect_equal(fuzzy_thresholding(TRUE)$values, TRUE)
  expect_equal(splitting_rule("gini")$values, "gini")
  expect_equal(unbiased_rules(TRUE)$values, TRUE)
  expect_equal(conditional_test_type()$values, dials:::values_test_type)
  expect_equal(conditional_test_statistic()$values, dials:::values_test_statistic)
  expect_equal(select_features(TRUE)$values, TRUE)
  expect_equal(regularization_method()$values, dials:::values_regularization_method)
  expect_equal(diagonal_covariance(TRUE)$values, TRUE)
  expect_equal(summary_stat()$values, values_summary_stat)
  expect_equal(survival_link()$values, values_survival_link)
  expect_equal(activation()$values, values_activation)
  expect_equal(rate_schedule()$values, values_scheduler)
  expect_equal(initial_umap()$values, values_initial_umap)
})