context("test-goldrake")
empty_goldrake <- goldrake(tibble())
# class -----------------------------------------------------------
test_that("is a goldrake object", {
expect_s3_class(empty_goldrake, "goldrake")
})
# input -----------------------------------------------------------
test_that("goldrake require the correct inputs", {
expect_equal(formals(goldrake) %>% names(), "original_data")
})
test_that("goldrake throw an error on wrong input", {
expect_condition(goldrake(1), "numeric", class = "goldrake_error")
})
# components ------------------------------------------------------
test_that("empty goldrake has the expected components", {
component_names <- c("used_data", "reviewers", "original_data")
expect_equal(names(empty_goldrake), component_names)
expect_is(empty_goldrake[["used_data"]], "tbl_df")
expect_length(empty_goldrake[["reviewers"]], 5L)
expect_s3_class(
empty_goldrake[["original_data"]],
c("tbl_df", "data.frame")
)
})
# attributes ------------------------------------------------------
test_that("empty goldrake has expected attributes", {
attr_names <- c(
"names",
"reviewer_names", "gold_classes", "balanced_variables",
"max_sampled",
"class"
)
expect_equal(attributes(empty_goldrake) %>% names(), attr_names)
expect_is(attr(empty_goldrake, "reviewer_names"), "character")
expect_length(attr(empty_goldrake, "reviewer_names"), 0)
expect_is(attr(empty_goldrake, "gold_classes"), "character")
expect_length(attr(empty_goldrake, "gold_classes"), 0)
expect_is(attr(empty_goldrake, "balanced_variables"), "character")
expect_length(attr(empty_goldrake, "balanced_variables"), 0)
expect_true(all(
attr(empty_goldrake, "balanced_variables") %in%
names(empty_goldrake[["used_data"]])
))
})
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