library(testthat)
library(dplyr)

test_that("Check basic tidyselect functionality", {
  set.seed(1)

  loblolly <- datasets::Loblolly
  loblolly$young <- factor(loblolly$age < 10, labels = c("Yes", "No"))
  loblolly$fvar <- factor(sample(letters[1:3], size = nrow(loblolly), replace = TRUE))

  out <- loblolly |>
    getDescriptionStatsBy(
      height,
      age,
      by = young,
      statistics = TRUE,
      digits = 2,
      statistics.sig_lim = 1e-4
    )

  expect_length(out, nrow(loblolly))

  # Class structure can legitimately vary across R/dplyr/rlang versions.
  # Check something stable instead of "exactly 2 classes after removing one".
  expect_true(is.object(out))
  expect_gte(length(class(out)), 1)
})

test_that("Using default_ref with tidyselect", {
  set.seed(1)

  n <- 20
  d <- data.frame(
    a  = sample(LETTERS[1:2], size = n, replace = TRUE),
    b  = sample(LETTERS[1:2], size = n, replace = TRUE),
    by = sample(letters[1:2], size = n, replace = TRUE)
  ) |>
    mutate(
      across(-by, \(x) factor(x, levels = LETTERS[1:2])),
      across(by,  \(x) factor(x, levels = letters[1:2]))
    )

  out_standard <- d |>
    getDescriptionStatsBy(a, b, by = by)

  out_with_A <- d |>
    getDescriptionStatsBy(a, b, default_ref = "A", by = by)

  expect_identical(out_with_A, out_standard)

  out_with_B <- d |>
    getDescriptionStatsBy(a, b, default_ref = "B", by = by)

  expect_false(identical(out_with_B, out_standard))

  out_with_a_as_B <- d |>
    getDescriptionStatsBy(a, b, default_ref = c(a = "B"), by = by)

  expect_identical(out_with_a_as_B[[1]], out_with_B[[1]])
  expect_identical(out_with_a_as_B[[2]], out_standard[[2]])
})