test_that("Other from produce correct vectors", {
  expect_equal(reduceVector(ruxton221207)[["x_t"]][, "x"], c("x" = 5.6))
  expect_equal(reduceVector(ruxton221207)[["x_t"]][, "t"], c("t" = 5))
  expect_equal(permChacko(ruxton221207)[["statistic"]], 0)
  set.seed(2715249)
  expect_equal(
    permChacko(ruxton221207)[["numeric_p-value"]],
    permChacko(ruxton221207)[["tabular_p-value"]],
    tolerance = 1e-0
  )
})

test_that("Expected output is produced", {
  # Fixed input
  set.seed(862255)
  vec <- rpois(5L, lambda = 100L)
  expect_output(suppressMessages(reduceVector(vec, verbosity = 3L)))

  # Random imput
  for (i in seq_len(10L)) {
    n <- sample(1:20, size = 1L)
    mu <- sample(10:100, size = 1L)
    x <- rpois(n, lambda = mu)
    reps <- sample(c(0L, 10L, 100L, 1000L, 2000L), size = 1L)
    y <- permChacko(x, n_perm = reps)
    expect_length(y, 5L)
    expect_type(y, "list")
  }
})

test_that("Passing matrices is not possible", {
  expect_error(permChacko(chacko63_tab1), "Input must be a vector")
  expect_error(reduceVector(chacko63_tab1), "Input must be a vector")
})

test_that("Verbosity works as expected", {
  expect_message(
    expect_message(
      expect_message(
        permChacko(1, verbosity = 1),
        "Reducing original vector"
      ),
      "Reducing 1000 permutations of original vector"
    ),
    "Test statistics"
  )
  expect_output(
    expect_message(
      expect_message(
        expect_message(
          expect_message(
            expect_message(
              reduceVector(4:1, verbosity = 2),
              "New values and weights"
            ),
            "Vector needs reduction"
          ),
          "Final vector"
        ),
        "Vector needs reduction"
      ),
      "Final vector"
    ),
    "Comparing 3.5 and 1.5. Replacing."
  )
})