df_patch (via coalesce) is too picky about types

[hadley]

library(dplyr, warn.conflicts = FALSE)

df <- tibble(a = 1:3, b = letters[c(1:2, NA)], c = 0.5 + 0:2)
df %>% rows_patch(tibble(a = 2:3, b = "B"))
#> Matching, by = "a"
#> # A tibble: 3 x 3
#>       a b         c
#>   <int> <chr> <dbl>
#> 1     1 a       0.5
#> 2     2 b       1.5
#> 3     3 B       2.5
df %>% rows_patch(tibble(a = c(2, 3), b = "B"))
#> Matching, by = "a"
#> Error: Argument 2 must be an integer vector, not a double vector

^{Created on 2020-05-04 by the reprex package (v0.3.0)}

[hadley]

One quick hack would be to use vec_ptype_common() in coalesce() and leave replace_with() as is.