#' Checks that two objects have the same classes
#'
#' Checks if `object` and `expected` have the same [class][class()].
#' If the classes differ
#' - `tbl_check_class()` and `vec_check_class()` return a list describing
#' the problem
#' - `tbl_grade_class()` and `vec_grade_class()` return a failing grade and
#' informative message with [gradethis::fail()]
#'
#' @section Problems:
#'
#' 1. `class`: The object does not have the expected classes
#'
#' @examples
#' .result <- 1:10
#' .solution <- as.character(1:10)
#' vec_check_class()
#' vec_grade_class()
#'
#' .result <- data.frame(a = 1:10)
#' .solution <- tibble::tibble(a = 1:10)
#' tbl_check_class()
#' tbl_grade_class()
#'
#' .result <- tibble::tibble(a = 1:10, b = a %% 2 == 0)
#' .solution <- dplyr::group_by(tibble::tibble(a = 1:10, b = a %% 2 == 0), b)
#' tbl_check_class()
#' tbl_grade_class()
#'
#' # Ignore the difference between tibble and data frame
#' .result <- data.frame(a = 1:10)
#' .solution <- tibble::tibble(a = 1:10)
#' tbl_check_class(ignore_class = c("tbl_df", "tbl"))
#' tbl_grade_class(ignore_class = c("tbl_df", "tbl"))
#'
#' # Ignore the difference between integer and double
#' .result <- 1L
#' .solution <- 1
#' vec_check_class(ignore_class = c("integer" = "numeric"))
#' vec_grade_class(ignore_class = c("integer" = "numeric"))
#'
#' @param object An object to be compared to `expected`.
#' @param expected An object containing the expected result.
#' @param ignore_class `[character()]`\cr A vector of classes to ignore when
#' finding differences between `object` and `expected`.
#'
#' If an element is named, differences will only be ignored between the pair
#' of the element and its name.
#' For example, `ignore_class = c("integer" = "numeric")` will ignore class
#' differences only if `object` has class [integer] and `expected` has class
#' [numeric], or vice versa.
#'
#' If all the classes of `expected` are included in `ignore_class`,
#' a `class` problem will never be returned.
#' @inheritParams tbl_check
#' @inheritDotParams gradethis::fail -message
#'
#' @return If there are any issues, a [list] from `tbl_check_class()` and
#' `vec_check_class()` or a [gradethis::fail()] message from
#' `tbl_grade_class()` and `vec_grade_class()`.
#' Otherwise, invisibly returns [`NULL`].
#' @export
tbl_check_class <- function(
object = .result,
expected = .solution,
ignore_class = NULL,
env = parent.frame()
) {
if (inherits(object, ".result")) {
object <- get(".result", env)
}
if (inherits(expected, ".solution")) {
expected <- get(".solution", env)
}
obj_class <- class(object)
exp_class <- class(expected)
paired <- rlang::names2(ignore_class) != ""
obj_class_ignored <- setdiff(obj_class, ignore_class[!paired])
exp_class_ignored <- setdiff(exp_class, ignore_class[!paired])
if (length(exp_class_ignored) == 0) {
return(invisible())
}
# Replace classes that match named elements of `ignore_class` with the
# element's name. This allows us to ignore differences between the element
# class and the name class.
for (i in seq_along(ignore_class[paired])) {
obj_class_ignored[obj_class_ignored == ignore_class[paired][[i]]] <-
names(ignore_class[paired])[[i]]
exp_class_ignored[exp_class_ignored == ignore_class[paired][[i]]] <-
names(ignore_class[paired])[[i]]
}
if (!setequal(obj_class_ignored, exp_class_ignored)) {
problem("class", expected, object)
}
}
#' @rdname tbl_check_class
#' @export
vec_check_class <- tbl_check_class
#' @rdname tbl_check_class
#' @export
tbl_grade_class <- function(
object = .result,
expected = .solution,
ignore_class = NULL,
env = parent.frame(),
...
) {
problem_grade(
tbl_check_class(object, expected, ignore_class, env),
env = env,
...
)
}
#' @rdname tbl_check_class
#' @export
vec_grade_class <- tbl_grade_class
#' @export
problem_message.class_problem <- function(problem, ...) {
if (is_problem(problem, "column")) {
problem$msg <- problem$msg %||%
"Your `{column}` column should be {expected}, but it is {actual}."
} else if (is_problem(problem, "table")) {
problem$msg <- problem$msg %||%
"Your table should be {expected}, but it is {actual}."
}
problem$msg <- problem$msg %||%
"Your result should be {expected}, but it is {actual}."
hinted_class_message <- hinted_class_message(problem$actual, problem$expected)
if (!is.null(hinted_class_message)) return(hinted_class_message)
problem$expected <- friendly_class(problem$expected)
problem$actual <- friendly_class(problem$actual)
glue::glue_data(problem, problem$msg)
}
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