make fmt

R/expr__expr.R

@@ -690,10 +690,10 @@ construct_ProtoExprArray = function(...) {
 #' @examples
 #' pl$DataFrame(iris)$
 #'   select(
-#'     pl$col("Sepal.Length")$map(\(x) {
-#'       paste("cheese", as.character(x$to_vector()))
-#'     }, pl$dtypes$Utf8)
-#'    )
+#'   pl$col("Sepal.Length")$map(\(x) {
+#'     paste("cheese", as.character(x$to_vector()))
+#'   }, pl$dtypes$Utf8)
+#' )
 #'
 #' # R parallel process example, use Sys.sleep() to imitate some CPU expensive
 #' # computation.
@@ -725,7 +725,6 @@ construct_ProtoExprArray = function(...) {
 #'     s * 2
 #'   }, in_background = TRUE)
 #' )$collect() |> system.time()
-
 Expr_map = function(f, output_type = NULL, agg_list = FALSE, in_background = FALSE) {
   (if (isTRUE(in_background)) {
     .pr$Expr$map_in_background(self, f, output_type, agg_list)

R/lazyframe__lazy.R

@@ -1170,7 +1170,6 @@ LazyFrame_dtypes = method_as_property(function() {
 #' pl$LazyFrame(iris)$
 #'   select(pl$col("Species")$append("flora gigantica, alien"))$
 #'   fetch(3)
-
 LazyFrame_fetch = function(
     n_rows = 500,
     type_coercion = TRUE,

src/rust/src/rbackground.rs

@@ -520,10 +520,7 @@ pub fn set_global_rpool_cap(c: Robj) -> RResult<()> {
 #[extendr]
 pub fn get_global_rpool_cap() -> RResult<List> {
     let pool_guard = RBGPOOL.0.lock()?;
-    Ok(list!(
-        active = pool_guard.active,
-        capacity = pool_guard.cap
-    ))
+    Ok(list!(active = pool_guard.active, capacity = pool_guard.cap))
 }
 
 #[extendr]