Nothing
test_that("low-level messages", {
expect_snapshot(
error = TRUE,
tune:::siren("a", "werewolf")
)
expect_snapshot(tune:::siren("bat", "info"))
expect_snapshot(tune:::siren("bat", "go"))
expect_snapshot(tune:::siren("bat", "danger"))
expect_snapshot(tune:::siren("bat", "warning"))
skip_on_os("windows")
expect_snapshot(tune:::siren("bat", "success"))
})
test_that("tune_log", {
ctrl_t <- control_grid(verbose = TRUE)
ctrl_f <- control_grid(verbose = FALSE)
rs <- rsample::vfold_cv(mtcars)$splits[[1]]
expect_snapshot(tune:::tune_log(ctrl_t, rs, task = "cube", type = "go"))
expect_snapshot(tune:::tune_log(ctrl_t, NULL, task = "cube", type = "go"))
expect_silent(tune:::tune_log(ctrl_f, NULL, task = "cube", type = "go"))
skip_on_os("windows")
expect_snapshot(tune:::tune_log(ctrl_t, rs, task = "cube", type = "success"))
})
test_that("log issues", {
ctrl_f <- control_grid(verbose = FALSE)
rs <- rsample::vfold_cv(mtcars)$splits[[1]]
res_1 <- tune:::catcher(log("a"))
res_2 <- tune:::catcher(log(1))
res_3 <- tune:::catcher(log(-1))
note_1 <- tibble::tibble(location = "Roshar", type = "Alethi", note = "I'm a stick")
note_2 <- tibble::tibble(location = "toledo", type = "error", note = "Error in log(\"a\"): non-numeric argument to mathematical function")
expect_snapshot(
expect_equal(
tune:::log_problems(note_1, ctrl_f, rs, "toledo", res_1, bad_only = FALSE),
dplyr::bind_rows(note_1, note_2)
)
)
expect_silent(tune:::log_problems(note_1, ctrl_f, rs, "toledo", res_2, bad_only = FALSE))
note_3 <- tibble::tibble(location = "toledo", type = "warning", note = "NaNs produced")
expect_snapshot(
expect_equal(
tune:::log_problems(note_1, ctrl_f, rs, "toledo", res_3, bad_only = FALSE),
dplyr::bind_rows(note_1, note_3)
)
)
})
test_that("catch and log issues", {
ctrl_f <- control_grid(verbose = FALSE)
rs <- rsample::vfold_cv(mtcars)$splits[[1]]
null <- NULL
expect_snapshot(
out_1 <- tune:::.catch_and_log(log("a"), ctrl_f, rs, "toledo", bad_only = FALSE, notes = null)
)
expect_true(inherits(out_1, "try-error"))
expect_silent(out_2 <- tune:::.catch_and_log(log(1), ctrl_f, rs, "toledo", bad_only = FALSE, notes = null))
expect_true(out_2 == 0)
expect_snapshot(
out_3 <- tune:::.catch_and_log(log(-1), ctrl_f, rs, "toledo", bad_only = FALSE, notes = null)
)
expect_true(is.nan(out_3))
expect_snapshot(
out_5 <- tune:::.catch_and_log(log("a"), ctrl_f, NULL, "toledo", bad_only = FALSE, notes = null)
)
expect_true(inherits(out_5, "try-error"))
expect_snapshot(
out_6 <- tune:::.catch_and_log(log(-1), ctrl_f, NULL, "toledo", bad_only = FALSE, notes = null)
)
expect_true(is.nan(out_6))
})
test_that("logging iterations", {
ctrl_t <- control_bayes(verbose_iter = TRUE)
ctrl_f <- control_bayes(verbose_iter = FALSE)
sc_1 <- list(
best_val = 7,
best_iter = 2,
last_impr = 3,
uncertainty = 0,
overall_iter = 1,
metrics = .8,
max = FALSE
)
expect_snapshot(tune:::log_best(ctrl_t, 10, sc_1))
expect_silent(tune:::log_best(ctrl_f, 10, sc_1))
})
test_that("logging search info", {
ctrl_t <- control_bayes(verbose_iter = TRUE)
tb_1 <- tibble::tibble(.mean = 1:3)
expect_silent(tune:::check_and_log_flow(ctrl_t, tb_1))
expect_snapshot(
error = TRUE,
tune:::check_and_log_flow(ctrl_t, tb_1 %>% mutate(.mean = .mean * NA))
)
expect_snapshot(
error = TRUE,
tune:::check_and_log_flow(ctrl_t, tb_1 %>% mutate(.mean = .mean * NA) %>% slice(1))
)
})
test_that("current results", {
ctrl_t <- control_bayes(verbose_iter = TRUE)
ctrl_f <- control_bayes(verbose_iter = FALSE)
tb_2 <-
tibble::tibble(
.metric = rep(letters[1:2], each = 4),
mean = 1:8,
.iter = 1:8,
std_err = (1:8) / 10
)
expect_snapshot(
tune:::log_progress(ctrl_t, tb_2, maximize = FALSE, objective = "a")
)
expect_snapshot(
tune:::log_progress(ctrl_t, tb_2, maximize = TRUE, objective = "b")
)
expect_silent(tune:::log_progress(ctrl_f, tb_2, maximize = TRUE, objective = "a"))
skip_on_os("windows")
expect_snapshot(
tune:::log_progress(ctrl_t, tb_2, maximize = TRUE, objective = "a")
)
})
test_that("show parameters", {
ctrl_t <- control_bayes(verbose_iter = TRUE)
ctrl_f <- control_bayes(verbose_iter = FALSE)
expect_snapshot(tune:::param_msg(ctrl_t, iris[1, 4:5]))
expect_silent(tune:::param_msg(ctrl_f, iris[1, 4:5]))
})
test_that("acquisition functions", {
ctrl_t <- control_bayes(verbose_iter = TRUE)
ctrl_f <- control_bayes(verbose_iter = FALSE)
expect_silent(tune:::acq_summarizer(ctrl_t, 1))
expect_silent(tune:::acq_summarizer(ctrl_t, 1, conf_bound()))
expect_silent(tune:::acq_summarizer(ctrl_f, 1, conf_bound()))
expect_snapshot(tune:::acq_summarizer(ctrl_t, 1, conf_bound(I)))
expect_snapshot(tune:::acq_summarizer(ctrl_t, 1, exp_improve(I)))
expect_snapshot(tune:::acq_summarizer(ctrl_t, 1, prob_improve(I)))
})
## -----------------------------------------------------------------------------
test_that("message_wrap", {
text <-
paste(
"A data frame of tuning combinations or a positive integer. The data",
"frame should have columns for each parameter being tuned and rows for",
"tuning parameter candidates. An integer denotes the number of candidate",
"parameter sets to be created automatically.",
collapse = ""
)
verify_output(
test_path("message_wrap/width_30.txt"),
message_wrap(text, width = 30),
crayon = TRUE
)
verify_output(
test_path("message_wrap/width_50_prefix.txt"),
message_wrap(text, width = 50, prefix = "'grid':"),
crayon = TRUE
)
verify_output(
test_path("message_wrap/width_50_prefix_red_text.txt"),
message_wrap(text, width = 50, prefix = "'grid':", color_text = cli::col_red),
crayon = TRUE
)
verify_output(
test_path("message_wrap/width_50_prefix_red_text_blue_prefix.txt"),
message_wrap(
text,
width = 50,
prefix = "'grid':",
color_text = cli::col_red,
color_prefix = cli::col_blue
),
crayon = TRUE
)
})
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