#' Manual resampling

#'

#' `manual_rset()` is used for constructing the most minimal rset possible. It

#' can be useful when you have custom rsplit objects built from

#' [make_splits()], or when you want to create a new rset from splits

#' contained within an existing rset.

#'

#' @param splits A list of `"rsplit"` objects. It is easiest to create these

#'   using [make_splits()].

#'

#' @param ids A character vector of ids. The length of `ids` must be the same

#'   as the length of `splits`.

#'

#' @export

#' @examples

#' df <- data.frame(x = c(1, 2, 3, 4, 5, 6))

#'

#' # Create an rset from custom indices

#' indices <- list(

#'   list(analysis = c(1L, 2L), assessment = 3L),

#'   list(analysis = c(4L, 5L), assessment = 6L)

#' )

#'

#' splits <- lapply(indices, make_splits, data = df)

#'

#' manual_rset(splits, c("Split 1", "Split 2"))

#'

#' # You can also use this to create an rset from a subset of an

#' # existing rset

#' resamples <- vfold_cv(mtcars)

#' best_split <- resamples[5,]

#' manual_rset(best_split$splits, best_split$id)

manual_rset <- function(splits, ids) {

}

new_manual_rset <- function(splits, ids) {

}

#' @export

print.manual_rset <- function(x, ...) {

}