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# Helpers for lintr tests
single_quote <- function(x) paste0("'", x, "'")
double_quote <- function(x) paste0('"', x, '"')
#' Trim some leading whitespace
#'
#' Trim `num` characters from the start of every line in `x`, or auto-detect to remove the maximum number whitespace
#' from all lines while preserving relative indentation
#'
#' @param x a string containing newlines
#' @param num number of characters to strip from the start of each line.
#' `NULL` will auto-detect this based on the minimum number of leading spaces greater than one.
#'
#' @return A modified version of `x` with `num` characters removed from the start of every line and with a possible
#' leading and trailing blank line removed.
#'
#' @examples
#' my_var <- local({
#' out <- trim_some("
#' This will be the content
#' of the file where
#' only the following line
#' is indented by two spaces.
#' ")
#' })
#'
#' stopifnot(identical(
#' my_var,
#' "This will be the content\nof the file where\nonly the following line\n is indented by two spaces."
#' ))
trim_some <- function(x, num = NULL) {
x <- rex::re_substitutes(
x,
rex::rex(list(start, any_blanks, newline) %or% list(newline, any_blanks, end)),
replacement = "",
global = TRUE
)
if (is.null(num)) {
ms <- rex::re_matches(x, "^\\s+", locations = TRUE, global = TRUE, options = "multi-line")[[1L]]
num <- min(ms$end - ms$start) + 1L
}
rex::re_substitutes(x, rex::rex(start, n_times(any, num)), "", global = TRUE, options = "multi-line")
}
local_config <- function(config_dir, contents, filename = ".lintr", .local_envir = parent.frame()) {
config_path <- file.path(config_dir, filename)
writeLines(contents, config_path)
withr::defer(unlink(config_path), envir = .local_envir)
config_path
}
skip_if_not_r_version <- function(min_version) {
if (getRversion() < min_version) {
testthat::skip(paste("R version at least", min_version, "is required"))
}
}
skip_if_not_utf8_locale <- function() {
testthat::skip_if_not(l10n_info()[["UTF-8"]], "Not a UTF-8 locale")
}
pipes <- function(exclude = NULL) {
if (getRversion() < "4.1.0") exclude <- unique(c(exclude, "|>"))
all_pipes <- c(
standard = "%>%",
greedy = "%!>%",
tee = "%T>%",
assignment = "%<>%",
extraction = "%$%",
native = "|>"
)
all_pipes[!all_pipes %in% exclude]
}
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