ianmcook commented on a change in pull request #9999:
URL: https://github.com/apache/arrow/pull/9999#discussion_r619291340
##########
File path: r/tests/testthat/test-dplyr-mutate.R
##########
@@ -415,3 +406,160 @@ test_that("mutate and write_dataset", {
summarize(mean = mean(integer))
)
})
+
+# PACHA ADDITIONS ----
+# READ THIS CAREFULLY PLEASE, IT'S MY 1ST DAY WRITING THIS KIND OF SENSITIVE
TESTS
+
+# similar to
https://github.com/tidyverse/dplyr/blob/master/tests/testthat/test-mutate.r#L1-L10
+# the rest of that test belongs in L55-62 here
+test_that("empty mutate returns input", {
+ # dbl2 = 5, so I'm grouping by a constant
+ gtbl <- group_by(tbl, dbl2)
+
+ expect_dplyr_equal(input %>% mutate(!!!list()) %>% collect(), tbl)
+
+ expect_dplyr_equal(input %>% mutate() %>% collect(), gtbl)
+ expect_dplyr_equal(input %>% mutate(!!!list()) %>% collect(), gtbl)
+})
+
+# similar to
https://github.com/tidyverse/dplyr/blob/master/tests/testthat/test-mutate.r#L12-L6
+test_that("rownames preserved", {
+ skip("Row names are not preserved")
+ df <- data.frame(x = c(1, 2), row.names = c("a", "b"))
+ expect_dplyr_equal(input %>% mutate(y = 2) %>% collect(), df)
+})
+
+# similar to
https://github.com/tidyverse/dplyr/blob/master/tests/testthat/test-mutate.r#L18-L29
+test_that("mutations applied progressively", {
+ df <- tibble(x = 1)
+
+ expect_dplyr_equal(
+ input %>% mutate(y = x + 1, z = y + 1) %>% collect(),
+ df
+ )
+ expect_dplyr_equal(
+ input %>% mutate(x = x + 1, x = x + 1) %>% collect(),
+ df
+ )
+ expect_dplyr_equal(
+ input %>% mutate(y = x + 1, z = y + 1) %>% collect(),
+ df
+ )
+
+ df <- data.frame(x = 1, y = 2)
+ expect_dplyr_equal(
+ input %>% mutate(x2 = x, x3 = x2 + 1) %>% collect(),
+ df
+ )
+})
+
+# similar to # similar to
https://github.com/tidyverse/dplyr/blob/master/tests/testthat/test-mutate.r#L31-L35
+# SEE LINE 175 IN THIS SCRIPT!
+# THIS WON'T WORK
+# https://issues.apache.org/jira/browse/ARROW-11705
+# Error in UseMethod("mutate") :
+# no applicable method for 'mutate' applied to an object of class "c('double',
'numeric')"
+# test_that("length-1 vectors are recycled (#152)", {
+# df <- tibble(x = 1:4)
+#
+# expect_dplyr_equal(
+# collect(mutate(input, y = 1))$y,
+# rep(1, 4)
+# )
+# })
Review comment:
Remove this since there's already a test for scalar value recycling
around line 175 as you noted here
```suggestion
```
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