Nothing
context("ParamInt")
test_that("constructor works", {
p = ParamInt$new(id = "test", lower = 1L, upper = 10L)
expect_equal(p$ids(), "test")
expect_equal(p$lower[["test"]], 1L)
expect_equal(p$upper[["test"]], 10L)
expect_equal(p$nlevels[["test"]], 10L)
# check that we can create param with Inf bounds
p = ParamInt$new(id = "test", lower = 1L)
expect_equal(p$lower[["test"]], 1L)
expect_equal(p$upper[["test"]], Inf)
# check some invalid arg settings
expect_error(ParamInt$new(id = "x", lower = NULL), "not 'NULL'")
expect_error(ParamInt$new(id = "x", lower = 1.5), "not 'double'")
expect_error(ParamInt$new(id = "x", upper = NULL), "not 'NULL'")
expect_error(ParamInt$new(id = "x", upper = 1.5), "not 'double'")
expect_error(ParamInt$new(id = "x", lower = 1, upper = 0), "lower <= upper")
expect_error(ParamInt$new(id = "x", lower = Inf, upper = 0), "lower <= upper")
})
test_that("is_bounded works", {
expect_true(ParamInt$new(id = "x", lower = 1, upper = 10)$is_bounded)
expect_false(ParamInt$new(id = "x", lower = 1)$is_bounded)
expect_false(ParamInt$new(id = "x")$is_bounded)
})
test_that("qunif", {
n = 100000L
testit = function(a, b) {
p = ParamInt$new("x", lower = a, upper = b)
k = p$nlevels[["x"]]
expect_equal(k, b - a + 1)
u = runif(n)
v1 = p$qunif(data.frame(x = u))$x
expect_integer(v1, any.missing = FALSE, len = n)
expect_setequal(unique(v1), a:b) # check we see all levels
# check that empirical frequencies are pretty much uniform
freqs = prop.table(table(v1))
p = rep(1 / k, k)
expect_lte(max(abs(freqs - p)), 0.01)
}
testit(1, 12)
testit(-2, 1)
})
test_that("assigning integer value results in int", {
p = ParamSet_legacy$new(list(ParamInt$new("x")))
p$values$x = 0
expect_equal(typeof(p$values$x), "integer")
expect_error({p$values$x = 1e-2}, "be of type.*integerish")
})
test_that("integer params are not corrected to the wrong value", {
param_set = ps(a = p_int())
param_set$values$a = 100
expect_identical(param_set$values$a, 100L)
param_set$values$a = -100
expect_identical(param_set$values$a, -100L)
})
test_that("integer params are not corrected to the wrong value", {
param_set = ps(a = p_int(tolerance = 0.4))
param_set$values$a = 100.4
expect_identical(param_set$values$a, 100L)
param_set$values$a = 100.6
expect_identical(param_set$values$a, 101L)
expect_error({param_set$values$a = 100.41}, "Must be of type.*integerish.*not.*double")
expect_error({param_set$values$a = 100.59}, "Must be of type.*integerish.*not.*double")
param_set$values$a = -100.4
expect_identical(param_set$values$a, -100L)
param_set$values$a = -100.6
expect_identical(param_set$values$a, -101L)
expect_error({param_set$values$a = -100.41}, "Must be of type.*integerish.*not.*double")
expect_error({param_set$values$a = -100.59}, "Must be of type.*integerish.*not.*double")
})
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