different type_sum results between CRAN and GH versions

[topepo]

rsample has

> rsample:::type_sum.rsplit
function (x, ...) 
{
    out_char <- if (all(is.na(x$out_id))) 
        format_n(length(complement(x)))
    else format_n(length(x$out_id))
    paste0("split [", format_n(length(x$in_id)), "/", out_char, 
        "]")
}

With the CRAN version of everything, we have a test that has output:

> library(rsample)
> packageVersion("rsample")
[1] ‘0.0.8’
> packageVersion("pillar")
[1] ‘1.4.7’
> packageVersion("tibble")
[1] ‘3.0.5’
> 
> warpbreaks2 <- tibble::as_tibble(warpbreaks)
> 
> print(group_vfold_cv(warpbreaks, "tension"))
# Group 3-fold cross-validation 
# A tibble: 3 x 2
  splits          id       
  <list>          <chr>    
1 <split [36/18]> Resample1
2 <split [36/18]> Resample2
3 <split [36/18]> Resample3

With dev pillar:

> # remotes::install_dev("pillar")
> library(rsample)
> packageVersion("rsample")
[1] ‘0.0.8’
> packageVersion("pillar")
[1] ‘1.4.99.9006’
> packageVersion("tibble")
[1] ‘3.0.5’
> 
> warpbreaks2 <- tibble::as_tibble(warpbreaks)
> 
> print(group_vfold_cv(warpbreaks, "tension"))
# Group 3-fold cross-validation 
# A tibble: 3 x 2
  splits           id       
  <list>           <chr>    
1 <rsplit [36/18]> Resample1
2 <rsplit [36/18]> Resample2
3 <rsplit [36/18]> Resample3

[krlmlr]

This has been introduced in #237. Please tweak rsample:::obj_sum.rsplit(), this is still using "rsplit" but has never been called in this context before.

[github-actions]

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