tests/testthat/test_cnames.R

In ParamHelpers: Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning

context("cnames")

test_that("cnames work with different operations", {
  p = makeNumericVectorParam(id = "x", len = 2L, lower = 0, upper = 1, cnames = c("a", "b"))

  x = sampleValue(p)
  expect_equal(names(x), c("a", "b"))
  xs = sampleValues(p, 2L)
  lapply(xs, function(x) expect_equal(names(x), c("a", "b")))

  expect_true(isFeasible(p, x))
  expect_false(isFeasible(p, c(0.1, 0.1)))

  ps = makeParamSet(p)
  des = generateDesign(2, ps)
  xs = dfRowsToList(des, ps)
  lapply(xs, function(x) expect_equal(names(x$x), c("a", "b")))

  p = makeIntegerVectorParam(id = "x", len = 2L, lower = 0, upper = 10, cnames = c("a", "b"))
  x = setValueCNames(p, c(1L, 1L))
  expect_equal(x, c(a = 1L, b = 1L))
  p = makeIntegerParam(id = "x")
  x = setValueCNames(p, 1L)
  expect_equal(x, 1L)
})

test_that("cnames work with dep params", {
  ps = makeParamSet(
    makeDiscreteParam("x", values = c("a", "b")),
    makeNumericVectorParam("y", lower = 1, upper = 2, len = 2L,
      requires = quote(x == "a"), cnames = c("xxx", "yyy"))
  )
  x = setValueCNames(ps, list(x = "a", y = c(1, 2)))
  expect_equal(x, list(x = "a", y = c(xxx = 1, yyy = 2)))
  x = setValueCNames(ps, list(x = "b", y = NA_real_))
  expect_equal(x, list(x = "b", y = NA_real_))
})