`round.ITime` fails when given numeric `digits` by `xfun::md_table`
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
Research direction
Reproduce the failure with data.table::as.ITime('23:58:00') |> data.frame(x=_) |> xfun::md_table(), then inspect the round.ITime and as.numeric.ITime entry points shown in the report. Compare the numeric-digits path with the behavior expected by xfun::md_table and add regression coverage; done means the example no longer errors while preserving existing ITime behavior.
Written by the indexing model from the issue text.
Description
Found while pre-rendering examples for the website:
data.table::as.ITime('23:58:00') |> data.frame(x=_) |> xfun::md_table()
Error in match.arg(digits) : 'arg' must be NULL or a character vector
5: stop("'arg' must be NULL or a character vector")
4: match.arg(digits)
3: setattr(switch(match.arg(digits), hours = as.integer(round(unclass(x)/3600) *
3600), minutes = as.integer(round(unclass(x)/60) * 60)),
"class", "ITime")
2: round.ITime(structure(86280L, class = "ITime"), 3)
1: xfun::md_table(data.frame(x = data.table::as.ITime("23:58:00")))
This happens when md_table gives 3 as the default argument to round(column): https://github.com/yihui/xfun/blob/046d83997ccd44634210d8af227019111e780b49/R/markdown.R#L293-L299
round(Sys.time(), 3) would also fail, but md_table skips columns that aren't is.numeric(). Should as.numeric.ITime return FALSE as well?
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