R Under development (unstable) (2024-09-06 r87103 ucrt) -- "Unsuffered Consequences"
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Platform: x86_64-w64-mingw32/x64

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> library("matrixStats")
> 
> rowSums2_R <- function(x, na.rm = FALSE, ..., useNames = NA) {
+   ## FIXME: sum() may overflow for integers, whereas
+   ## base::rowSums() doesn't.  What should rowSums2() do?
+   ## apply(x, MARGIN = 1L, FUN = sum, na.rm = na.rm)
+   res <- rowSums(x, na.rm = na.rm)
+   if (is.na(useNames) || !useNames) names(res) <- NULL
+   res
+ }
> 
> colSums2_R <- function(x, na.rm = FALSE, ..., useNames = NA) {
+   ## FIXME: sum() may overflow for integers, whereas
+   ## base::colSums() doesn't.  What should colSums2() do?
+   ## apply(x, MARGIN = 2L, FUN = sum, na.rm = na.rm)
+   res <- colSums(x, na.rm = na.rm)
+   if (is.na(useNames) || !useNames) names(res) <- NULL
+   res
+ }
> 
> 
> # - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> # Subsetted tests
> # - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> source("utils/validateIndicesFramework.R")
> x <- matrix(runif(6 * 6, min = -3, max = 3), nrow = 6, ncol = 6)
> storage.mode(x) <- "integer"
> 
> # To check names attribute
> dimnames <- list(letters[1:6], LETTERS[1:6])
> 
> # Test with and without dimnames on x
> for (setDimnames in c(TRUE, FALSE)) {
+   if (setDimnames) dimnames(x) <- dimnames
+   else dimnames(x) <- NULL
+   for (rows in index_cases) {
+     for (cols in index_cases) {
+       for (na.rm in c(TRUE, FALSE)) {
+         for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
+           validateIndicesTestMatrix(x, rows, cols,
+                                     ftest = rowSums2, fsure = rowSums2_R,
+                                     na.rm = na.rm, useNames = useNames)
+           validateIndicesTestMatrix(x, rows, cols,
+                                     fcoltest = colSums2, fsure = rowSums2_R,
+                                     na.rm = na.rm, useNames = useNames)
+         }
+       }
+     }
+   }
+ }
> 
> proc.time()
   user  system elapsed 
   1.32    0.12    1.43