unnest_wider() doesn't work with data frame columns

[DavisVaughan]

It isn't the intentional usage for this function, but it theoretically should work if we had a perfect implementation:

library(tidyr)

df <- tibble(a = 1:3, b = tibble(x = 1:3, y = 1:3))
df
#> # A tibble: 3 × 2
#>       a   b$x    $y
#>   <int> <int> <int>
#> 1     1     1     1
#> 2     2     2     2
#> 3     3     3     3

unnest_wider(df, b)
#> New names:
#> * `` -> ...1
#> * `` -> ...2
#> * `` -> ...3
#> New names:
#> * `` -> ...1
#> * `` -> ...2
#> * `` -> ...3
#> Error: Assigned data `map(data[[col]], vec_to_wide, col = col, names_sep = names_sep)` must be compatible with existing data.
#> x Existing data has 3 rows.
#> x Assigned data has 2 rows.
#> ℹ Only vectors of size 1 are recycled.

# Pretty sure it should look like:
df$b <- vctrs::vec_chop(df$b)
unnest_wider(df, b)
#> # A tibble: 3 × 3
#>       a     x     y
#>   <int> <int> <int>
#> 1     1     1     1
#> 2     2     2     2
#> 3     3     3     3

# Because that is sort of equivalent to what this does:
df$b <- 1:3
unnest_wider(df, b)
#> New names:
#> * `` -> ...1
#> New names:
#> * `` -> ...1
#> New names:
#> * `` -> ...1
#> # A tibble: 3 × 2
#>       a  ...1
#>   <int> <int>
#> 1     1     1
#> 2     2     2
#> 3     3     3

^{Created on 2021-11-03 by the reprex package (v2.0.1)}