test: Snapshot updates for R-CMD-check-dev ({"package":"dplyr"})

tests/testthat/_snaps/dplyr-case-match.md

@@ -4,23 +4,23 @@
       case_match(1)
     Condition
       Error in `case_match()`:
-      ! At least one condition must be supplied.
+      ! `...` can't be empty.
 
 ---
 
     Code
       case_match(1, NULL)
     Condition
       Error in `case_match()`:
-      ! At least one condition must be supplied.
+      ! `...` can't be empty.
 
 # `.default` is part of common type computation
 
     Code
       case_match(1, 1 ~ 1L, .default = "x")
     Condition
       Error in `case_match()`:
-      ! Can't combine `..1 (right)` <integer> and `.default` <character>.
+      ! Can't combine <integer> and `.default` <character>.
 
 # `NULL` formula element throws meaningful error
 
@@ -29,6 +29,7 @@
     Condition
       Error in `case_match()`:
       ! `..1 (right)` must be a vector, not `NULL`.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 
 ---
 
@@ -37,6 +38,7 @@
     Condition
       Error in `case_match()`:
       ! `..1 (left)` must be a vector, not `NULL`.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 
 # throws chained errors when formula evaluation fails
 

tests/testthat/_snaps/dplyr-case-when.md

@@ -4,15 +4,15 @@
       case_when(FALSE ~ 1L, .default = 2:5)
     Condition
       Error in `case_when()`:
-      ! `.default` must have size 1, not size 4.
+      ! Can't recycle `.default` (size 4) to size 1.
 
 # `.default` is part of common type computation
 
     Code
       case_when(TRUE ~ 1L, .default = "x")
     Condition
       Error in `case_when()`:
-      ! Can't combine `..1 (right)` <integer> and `.default` <character>.
+      ! Can't combine <integer> and `.default` <character>.
 
 # passes through `.size` correctly
 
@@ -35,8 +35,27 @@
     Code
       case_when(1 ~ NULL)
     Condition
-      Error in `case_when()`:
-      ! `..1 (right)` must be a vector, not `NULL`.
+      Warning:
+      Calling `case_when()` with size 1 LHS inputs and size >1 RHS inputs was deprecated in dplyr 1.2.0.
+      i This `case_when()` statement can result in subtle silent bugs and is very inefficient.
+
+        Please use a series of if statements instead:
+
+        ```
+        # Previously
+        case_when(scalar_lhs1 ~ rhs1, scalar_lhs2 ~ rhs2, .default = default)
+
+        # Now
+        if (scalar_lhs1) {
+          rhs1
+        } else if (scalar_lhs2) {
+          rhs2
+        } else {
+          default
+        }
+        ```
+      Error in `case_when()`:
+      ! `..1 (left)` must be a logical vector, not an empty numeric vector.
 
 ---
 
@@ -73,7 +92,7 @@
     Output
       <error/vctrs_error_incompatible_size>
       Error in `case_when()`:
-      ! Can't recycle `..1 (left)` (size 2) to match `..1 (right)` (size 3).
+      ! Can't recycle `..1 (right)` (size 3) to match `..2 (right)` (size 2).
     Code
       (expect_error(case_when(c(TRUE, FALSE) ~ 1, c(FALSE, TRUE, FALSE) ~ 2, c(FALSE,
         TRUE, FALSE, NA) ~ 3)))
@@ -83,6 +102,26 @@
       ! Can't recycle `..1 (left)` (size 2) to match `..2 (left)` (size 3).
     Code
       (expect_error(case_when(50 ~ 1:3)))
+    Condition
+      Warning:
+      Calling `case_when()` with size 1 LHS inputs and size >1 RHS inputs was deprecated in dplyr 1.2.0.
+      i This `case_when()` statement can result in subtle silent bugs and is very inefficient.
+
+        Please use a series of if statements instead:
+
+        ```
+        # Previously
+        case_when(scalar_lhs1 ~ rhs1, scalar_lhs2 ~ rhs2, .default = default)
+
+        # Now
+        if (scalar_lhs1) {
+          rhs1
+        } else if (scalar_lhs2) {
+          rhs2
+        } else {
+          default
+        }
+        ```
     Output
       <error/rlang_error>
       Error in `case_when()`:
@@ -104,17 +143,17 @@
     Output
       <error/rlang_error>
       Error in `case_when()`:
-      ! At least one condition must be supplied.
+      ! `...` can't be empty.
     Code
       (expect_error(case_when(NULL)))
     Output
       <error/rlang_error>
       Error in `case_when()`:
-      ! At least one condition must be supplied.
+      ! `...` can't be empty.
     Code
       (expect_error(case_when(~ 1:2)))
     Output
       <error/rlang_error>
       Error in `case_when()`:
-      ! Case 1 (`~1:2`) must be a two-sided formula.
+      ! Case 1 (`~1:2`) must be a two-sided formula, not a one-sided formula.
 

tests/testthat/_snaps/dplyr-coalesce.md

@@ -35,7 +35,7 @@
       coalesce(NULL, NULL)
     Condition
       Error in `coalesce()`:
-      ! `...` can't be empty.
+      ! `...` must contain at least 1 non-`NULL` value.
 
 # inputs must be vectors
 
@@ -44,6 +44,7 @@
     Condition
       Error in `coalesce()`:
       ! `..2` must be a vector, not an environment.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 
 # names in error messages are indexed correctly
 

tests/testthat/_snaps/dplyr-consecutive-id.md

@@ -20,4 +20,5 @@
     Condition
       Error in `consecutive_id()`:
       ! `..1` must be a vector, not a function.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 

tests/testthat/_snaps/dplyr-count-tally.md

@@ -14,32 +14,6 @@
       Error in `count()`:
       ! `name` must be a single string, not a character vector.
 
-# can only explicitly chain together multiple tallies
-
-    Code
-      df <- data.frame(g = c(1, 1, 2, 2), n = 1:4)
-      df %>% duckplyr_count(g, wt = n)
-    Output
-        g n
-      1 1 3
-      2 2 7
-    Code
-      df %>% duckplyr_count(g, wt = n) %>% duckplyr_count(wt = n)
-    Output
-         n
-      1 10
-    Code
-      df %>% duckplyr_count(n)
-    Message
-      Storing counts in `nn`, as `n` already present in input
-      i Use `name = "new_name"` to pick a new name.
-    Output
-        n nn
-      1 1  1
-      2 2  1
-      3 3  1
-      4 4  1
-
 # duckplyr_count() owns errors (#6139)
 
     Code
@@ -55,7 +29,7 @@
     Output
       <error/rlang_error>
       Error in `summarise()`:
-      i In argument: `n = sum(1 + "", na.rm = TRUE)`.
+      i In argument: `n = base::sum(1 + "", na.rm = TRUE)`.
       Caused by error in `1 + ""`:
       ! non-numeric argument to binary operator
 
@@ -66,7 +40,7 @@
     Output
       <error/rlang_error>
       Error in `tally()`:
-      i In argument: `n = sum(1 + "", na.rm = TRUE)`.
+      i In argument: `n = base::sum(1 + "", na.rm = TRUE)`.
       Caused by error in `1 + ""`:
       ! non-numeric argument to binary operator
 
@@ -85,7 +59,7 @@
     Output
       <error/dplyr:::mutate_error>
       Error in `mutate()`:
-      i In argument: `n = sum(1 + "", na.rm = TRUE)`.
+      i In argument: `n = base::sum(1 + "", na.rm = TRUE)`.
       Caused by error in `1 + ""`:
       ! non-numeric argument to binary operator
 
@@ -96,7 +70,7 @@
     Output
       <error/dplyr:::mutate_error>
       Error in `add_tally()`:
-      i In argument: `n = sum(1 + "", na.rm = TRUE)`.
+      i In argument: `n = base::sum(1 + "", na.rm = TRUE)`.
       Caused by error in `1 + ""`:
       ! non-numeric argument to binary operator
 

tests/testthat/_snaps/dplyr-desc.md

@@ -5,4 +5,5 @@
     Condition
       Error in `desc()`:
       ! `x` must be a vector, not a function.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 

tests/testthat/_snaps/dplyr-if-else.md

@@ -28,23 +28,23 @@
       if_else(x < 2, bad, x)
     Condition
       Error in `if_else()`:
-      ! `true` must have size 3, not size 2.
+      ! Can't recycle `true` (size 2) to size 3.
 
 ---
 
     Code
       if_else(x < 2, x, bad)
     Condition
       Error in `if_else()`:
-      ! `false` must have size 3, not size 2.
+      ! Can't recycle `false` (size 2) to size 3.
 
 ---
 
     Code
       if_else(x < 2, x, x, missing = bad)
     Condition
       Error in `if_else()`:
-      ! `missing` must have size 3, not size 2.
+      ! Can't recycle `missing` (size 2) to size 3.
 
 # must have empty dots
 
@@ -66,11 +66,3 @@
       ! Can't convert from `false` <double> to <integer> due to loss of precision.
       * Locations: 1
 
-# `size` overrides the `condition` size
-
-    Code
-      if_else(TRUE, 1, 2, size = 2)
-    Condition
-      Error in `if_else()`:
-      ! `condition` must have size 2, not size 1.
-

tests/testthat/_snaps/dplyr-join-rows.md

@@ -319,39 +319,11 @@
       i 50000005000000 rows would be returned. 2147483647 rows is the maximum number allowed.
       i Double check your join keys. This error commonly occurs due to a missing join key, or an improperly specified join condition.
 
-# `multiple = NULL` is deprecated and results in `'all'` (#6731)
-
-    Code
-      out <- join_rows(df1, df2, multiple = NULL)
-    Condition
-      Warning:
-      Specifying `multiple = NULL` was deprecated in dplyr 1.1.1.
-      i Please use `multiple = "all"` instead.
-
----
-
-    Code
-      duckplyr_left_join(df1, df2, by = join_by(x), multiple = NULL)
-    Condition
-      Warning:
-      Specifying `multiple = NULL` was deprecated in dplyr 1.1.1.
-      i Please use `multiple = "all"` instead.
-    Output
-      # A tibble: 3 x 1
-            x
-        <dbl>
-      1     1
-      2     2
-      3     2
-
 # `multiple = 'error'` is deprecated (#6731)
 
     Code
       join_rows(df1, df2, multiple = "error")
     Condition
-      Warning:
-      Specifying `multiple = "error"` was deprecated in dplyr 1.1.1.
-      i Please use `relationship = "many-to-one"` instead.
       Error:
       ! Each row in `x` must match at most 1 row in `y`.
       i Row 2 of `x` matches multiple rows in `y`.
@@ -361,9 +333,6 @@
     Code
       duckplyr_left_join(df1, df2, by = join_by(x), multiple = "error")
     Condition
-      Warning:
-      Specifying `multiple = "error"` was deprecated in dplyr 1.1.1.
-      i Please use `relationship = "many-to-one"` instead.
       Error in `left_join()`:
       ! Each row in `x` must match at most 1 row in `y`.
       i Row 2 of `x` matches multiple rows in `y`.
@@ -373,9 +342,6 @@
     Code
       out <- join_rows(df1, df2, multiple = "warning")
     Condition
-      Warning:
-      Specifying `multiple = "warning"` was deprecated in dplyr 1.1.1.
-      i Please use `relationship = "many-to-one"` instead.
       Warning:
       Each row in `x` is expected to match at most 1 row in `y`.
       i Row 2 of `x` matches multiple rows.
@@ -385,9 +351,6 @@
     Code
       duckplyr_left_join(df1, df2, by = join_by(x), multiple = "warning")
     Condition
-      Warning:
-      Specifying `multiple = "warning"` was deprecated in dplyr 1.1.1.
-      i Please use `relationship = "many-to-one"` instead.
       Warning in `left_join()`:
       Each row in `x` is expected to match at most 1 row in `y`.
       i Row 2 of `x` matches multiple rows.

tests/testthat/_snaps/dplyr-lead-lag.md

@@ -59,6 +59,7 @@
     Condition
       Error in `lead()`:
       ! `x` must be a vector, not an environment.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 
 ---
 
@@ -67,4 +68,5 @@
     Condition
       Error in `lag()`:
       ! `x` must be a vector, not an environment.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 

tests/testthat/_snaps/dplyr-n-distinct.md

@@ -17,4 +17,5 @@
     Condition
       Error in `n_distinct()`:
       ! `..1` must be a vector, not a function.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 

tests/testthat/_snaps/dplyr-na-if.md

@@ -38,6 +38,7 @@
     Condition
       Error in `na_if()`:
       ! `x` must be a vector, not an environment.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 
 ---
 
@@ -46,4 +47,5 @@
     Condition
       Error in `na_if()`:
       ! `y` must be a vector, not an environment.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 

tests/testthat/_snaps/dplyr-nth-value.md

@@ -61,6 +61,7 @@
     Condition
       Error in `vec_size()`:
       ! `x` must be a vector, not an environment.
+      i Read our FAQ about scalar types (`?vctrs::faq_error_scalar_type`) to learn more.
 
 # `order_by` must be the same size as `x`