Datar

- Fix compatibility with `pandas` `v1.2.0~4` (20, thanks to antonio-yu)
- Fix base.table when inputs are factors and exclude is NA;
- Add base.scale/col_sums/row_sums/col_means/row_means/col_sds/row_sds/col_medians/row_medians

- Use a better strategy warning for builtin name overriding.
- Fix index of subdf not dropped for mutate on grouped data
- Fix `names_glue` not working with single `values_from` for `tidyr.pivot_wider`
- Fix `base.paste` not registered
- Fix `base.grep`/`grepl` on NA values
- Make `base.sub`/`gsub` return scalar when inputs are scalar strings

- Use observed values for non-observsed value match for group_data instead of NAs, which might change the dtype.
- Fix tibble recycling values too early

Added:
- Add `base.which`, `base.bessel`, `base.special`, `base.trig_hb` and `base.string` modules
- Add Support for duplicated keyword arguments for dplyr.mutate/summarise by using `_` as suffix
- Warn when import python builtin names directly; ; Remove modkit dependency

Fixed:
- Fixed errors when use`a_1` as names for `"check_unique"` name repairs
- Fixed 14: `f.a.mean()` not applied to grouped data

Changed:
- Don't allow `from datar.datasets import *`
- Remove `modkit` dependency
- Reset `NaN` to `NA`
- Rename `base.getOption` to `base.get_option`
- Rename `stats.setNames` to `stats.set_names`

- Adopt `pipda` 0.2.8
- Allow `f.col1[f.col2==max(f.col2)]` like expression
- Add `base.which/cov/var`
- Fix `base.max`
- Add `datasets.ChickWeight`
- Allow `dplyr.across` to have plain functions passed with default `EVAL` context.

Added:
- `pandas.NA` as `NaN`
- Dtypes display when printing a dataframe (string, html, notebook)
- `zibble` to construct dataframes with names specified together, and values together.

Fixed:
- `base.diag()` on dataframes
- Data recycling when length is different from original data
- `datar.itemgetter()` not public

Changed:
- Behavior of `group_by()` with `_drop=False`. Invisible values will not mix with visible values of other columns