multidplyr throws warning when used with dplyr 0.7.0

[hokerl]

Using multidplyr with dplyr 0.7.0 generates the following warning:
group_indices_.grouped_df ignores extra arguments

Minimal example:
mtcars %>% partition(cyl) %>% collect()

It seems to have no impact on the calculated results, but I am not sure if that's always the case...

[MGousseff]

I encounter this problem as well. Thought it did no harm, but I do get problems in a more complex function...
Could it be linked to the weird if condition in the group_indices.grouped_df function :
if(length(list(...))
?

Please don't burn me if this is just something I didn't understand, as I am so grateful that these tools exist.

[Ilia-Kosenkov]

I found the source of the warning. It happens in the call group_id <- dplyr::group_indices_(data), line 47 in shard.R, which in turn throws in group_indices.grouped_df, line 62 in dplyr/group-indices.R. Here is a reprex:

dplyr::group_indices_(dplyr::group_by_(mtcars, "gear"))
#> Warning: group_indices_.grouped_df ignores extra arguments
#>  [1] 2 2 2 1 1 1 1 2 2 2 2 1 1 1 1 1 1 2 2 2 1 1 1 1 1 2 3 3 3 3 3 2

^{Created on 2018-11-15 by the reprex package (v0.2.1.9000)}

Unfortunately, no idea how to fix it.

[hadley]

This appears to be fixed by latest updates.