Get rid of tidyselect

DESCRIPTION

@@ -100,7 +100,6 @@ Imports:
     rlang,
     stringr,
     tidyr (>= 1.0.0),
-    tidyselect,
     vroom,
     xml2
 Suggests:

R/Lithuania.R

@@ -184,8 +184,7 @@ Lithuania <- R6::R6Class("Lithuania",
     #' @description Common data cleaning for both levels
     #'
     # nolint start
-    #' @importFrom dplyr mutate group_by summarise if_else filter select bind_rows rename left_join everything across lead
-    #' @importFrom tidyselect all_of
+    #' @importFrom dplyr mutate group_by summarise if_else filter select bind_rows rename left_join everything across lead all_of
     #' @importFrom lubridate as_date
     # nolint end
     clean_common = function() {
@@ -244,7 +243,7 @@ Lithuania <- R6::R6Class("Lithuania",
       # or qualitative)
       sum_cols <- names(select(
         self$data$raw$main,
-        "population":tidyselect::last_col()
+        "population":dplyr::last_col()
       ))
       sum_cols <- sum_cols[!grepl("prc|map_colors", sum_cols)]
 
@@ -345,7 +344,6 @@ Lithuania <- R6::R6Class("Lithuania",
     #' provided by the source at the level 2 (municipality) regional level.
     #'
     #' @importFrom dplyr group_by summarise ungroup full_join across if_else
-    #' @importFrom tidyselect vars_select_helpers
     clean_level_1 = function() {
       self$data$clean <- self$data$clean %>%
         group_by(
@@ -354,7 +352,7 @@ Lithuania <- R6::R6Class("Lithuania",
         ) %>%
         summarise(
           across(
-            tidyselect::vars_select_helpers$where(is.numeric),
+            where(is.numeric),
             sum
           )
         ) %>%

R/processing.R

@@ -51,7 +51,7 @@ set_negative_values_to_zero <- function(data) {
 #' @family compulsory_processing
 #' @concept compulsory_processing
 #' @importFrom tidyr complete full_seq nesting
-#' @importFrom tidyselect starts_with
+#' @importFrom dplyr starts_with
 #' @importFrom rlang !!! syms
 fill_empty_dates_with_na <- function(data) {
   regions <- select(data, starts_with("level_")) %>%
@@ -75,7 +75,7 @@ fill_empty_dates_with_na <- function(data) {
 #' @family compulsory_processing
 #' @concept compulsory_processing
 #' @importFrom tidyr fill
-#' @importFrom tidyselect all_of
+#' @importFrom dplyr all_of
 complete_cumulative_columns <- function(data) {
   cumulative_col_names <- c(
     "deaths_total", "cases_total", "recovered_total",
@@ -98,10 +98,9 @@ complete_cumulative_columns <- function(data) {
 #' @return A data frame with extra columns if required
 #' @family compulsory_processing
 #' @concept compulsory_processing
-#' @importFrom dplyr mutate group_by_at arrange vars starts_with lag
+#' @importFrom dplyr mutate group_by_at arrange vars starts_with lag ends_with
 #' @importFrom purrr walk2
 #' @importFrom tidyr replace_na
-#' @importFrom tidyselect ends_with
 #' @importFrom rlang !! :=
 calculate_columns_from_existing_data <- function(data) {
   possible_counts <- c("cases", "deaths", "hosp", "recovered", "tested")
@@ -220,10 +219,9 @@ run_optional_processing_fns <- function(data, process_fns) {
 #' processing steps
 #' @concept utility
 #' @family processing
-#' @importFrom dplyr do group_by_at across ungroup select everything arrange
+#' @importFrom dplyr do group_by_at across ungroup select everything arrange all_of
 #' @importFrom dplyr rename
 #' @importFrom tidyr drop_na
-#' @importFrom tidyselect all_of
 #' @importFrom rlang !!!
 process_internal <- function(clean_data, level, group_vars,
                              totals = FALSE, localise = TRUE,

R/shared-methods.R

@@ -351,8 +351,7 @@ DataClass <- R6::R6Class(
     #' field.
     #' @param level A character string indicating the level to filter at.
     #' Defaults to using the `filter_level` field if not specified
-    #' @importFrom tidyselect all_of
-    #' @importFrom dplyr select filter pull
+    #' @importFrom dplyr select filter pull all_of
     available_regions = function(level) {
       if (is.null(self$data$clean)) {
         stop("Data must first be cleaned using the clean method")

R/utils.R

@@ -303,3 +303,7 @@ make_new_data_source <- function(source, type = "subnational",
   )
   make_github_workflow(source)
 }
+
+# Hack to work around the fact that `where()` is not exported 
+# (https://github.com/r-lib/tidyselect/issues/201)
+utils::globalVariables("where")