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# The following S3 methods are registered on load if dplyr is present

count.arrow_dplyr_query <- function(x, ..., wt = NULL, sort = FALSE, name = NULL) {
  if (!missing(...)) {
    out <- dplyr::group_by(x, ..., .add = TRUE)
  } else {
    out <- x
  }
  out <- dplyr::tally(out, wt = {{ wt }}, sort = sort, name = name)

  # Restore original group vars
  gv <- dplyr::group_vars(x)
  if (length(gv)) {
    out$group_by_vars <- gv
  }

  out
}

count.Dataset <- count.ArrowTabular <- count.arrow_dplyr_query

#' @importFrom rlang sym :=
tally.arrow_dplyr_query <- function(x, wt = NULL, sort = FALSE, name = NULL) {
  check_name <- utils::getFromNamespace("check_name", "dplyr")
  name <- check_name(name, dplyr::group_vars(x))

  if (quo_is_null(enquo(wt))) {
    out <- dplyr::summarize(x, !!name := n())
  } else {
    out <- dplyr::summarize(x, !!name := sum({{ wt }}, na.rm = TRUE))
  }

  if (sort) {
    dplyr::arrange(out, desc(!!sym(name)))
  } else {
    out
  }
}

tally.Dataset <- tally.ArrowTabular <- tally.arrow_dplyr_query

# we don't want to depend on dplyr, but we refrence these above
utils::globalVariables(c("n", "desc"))
