test_that("simple rsplit", {
  rs1 <- rsplit(dat1, 1:2, 4:5)
  expect_equal(rs1$data, dat1)
  expect_equal(rs1$in_id, 1:2)
  expect_equal(rs1$out_id, 4:5)
})

test_that("simple rsplit with matrices", {
  dat2 <- as.matrix(dat1)
  rs2 <- rsplit(dat2, 1:2, 4:5)
  expect_equal(rs2$data, dat2)
  expect_equal(rs2$in_id, 1:2)
  expect_equal(rs2$out_id, 4:5)
})

test_that("bad inputs", {
  expect_error(rsplit(as.list(dat1), 1:2, 4:5))
  expect_error(rsplit(dat1, letters[1:2], 4:5))
  expect_error(rsplit(as.list(dat1), 1:2, letters[4:5]))
  expect_error(rsplit(as.list(dat1), -1:2, 4:5))
  expect_error(rsplit(as.list(dat1), 1:2, -4:5))
  expect_error(rsplit(as.list(dat1), integer(0), 4:5))
})

test_that("as.data.frame", {
  rs3 <- rsplit(dat1, 1:2, 4:5)
  expect_equal(as.data.frame(rs3), dat1[1:2, ])
  expect_equal(as.data.frame(rs3, data = "assessment"), dat1[4:5, ], ignore_attr = "row.names")

  rs4 <- rsplit(dat1, rep(1:2, each = 3), rep(4:5, c(2, 1)))
  expect_equal(as.data.frame(rs4), dat1[c(1, 1, 1, 2, 2, 2), ], ignore_attr = "row.names")
  expect_equal(as.data.frame(rs4, data = "assessment"), dat1[c(4, 4, 5), ], ignore_attr = "row.names")
})


test_that("print methods", {
  expect_snapshot({
    set.seed(233)
    vfold_cv(mtcars)$splits[[1]]
  })

  skip_if_not_installed("withr")
  withr::local_options(lifecycle_verbosity = "quiet")

  expect_snapshot({
    set.seed(233)
    validation_split(mtcars)$splits[[1]]
  })
  expect_snapshot({
    set.seed(233)
    validation_split(mtcars)
  })
})

test_that("default complement method errors", {
  expect_snapshot(
    complement("a string"),
    error = TRUE
  )
})

test_that("as.data.frame() works for permutations with Surv object without the survival package loaded - issue #443", {
  srv <-
    list(
      age = c(74, 68, 56, 57, 60, 74, 76, 77, 39, 75, 66, 58),
      sex = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2),
      surv_obj = structure(
        c(306, 455, 1010, 210, 883, 1022, 116, 188,  191, 105, 174,  177,
          1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0),
        dim = c(12L, 2L),
        dimnames = list(NULL, c("time", "status")),
        type = "right",
        class = "Surv"))
  surv_df <-
    structure(
      srv,
      row.names = paste(1:12),
      class = "data.frame")

  set.seed(472)
  surv_permutation_df <- permutations(surv_df, permute = c(age, surv_obj), times = 1) %>%
    get_rsplit(1)

  expect_s3_class(surv_permutation_df$data$surv_obj, "Surv")
  expect_s3_class(analysis(surv_permutation_df)$surv_obj, "Surv")
})