Use list of column inputs for apply_boolean_mask

[isVoid]

This PR brings changes from #9558 to apply_boolean_mask and removes the as_frame -> as_column round trip. Benchmark the column method:

------------------------------------- benchmark 'col0': 2 tests -------------------------------------
Name (time in us)                               Min                 Max                Mean          
-----------------------------------------------------------------------------------------------------
column_apply_boolean_mask[col0] (afte)      87.0090 (1.0)      132.8980 (1.0)       95.8815 (1.0)    
column_apply_boolean_mask[col0] (befo)     210.4580 (2.42)     307.8270 (2.32)     225.4821 (2.35)   
-----------------------------------------------------------------------------------------------------

------------------------------------- benchmark 'col1': 2 tests -------------------------------------
Name (time in us)                               Min                 Max                Mean          
-----------------------------------------------------------------------------------------------------
column_apply_boolean_mask[col1] (afte)      74.2240 (1.0)      110.0600 (1.0)       75.6356 (1.0)    
column_apply_boolean_mask[col1] (befo)     172.5240 (2.32)     278.5250 (2.53)     176.5672 (2.33)   
-----------------------------------------------------------------------------------------------------

------------------------------------- benchmark 'col2': 2 tests -------------------------------------
Name (time in us)                               Min                 Max                Mean          
-----------------------------------------------------------------------------------------------------
column_apply_boolean_mask[col2] (afte)     101.5740 (1.0)      141.8850 (1.0)      110.2334 (1.0)    
column_apply_boolean_mask[col2] (befo)     234.1140 (2.30)     312.7140 (2.20)     245.5453 (2.23)   
-----------------------------------------------------------------------------------------------------

------------------------------------- benchmark 'col3': 2 tests -------------------------------------
Name (time in us)                               Min                 Max                Mean          
-----------------------------------------------------------------------------------------------------
column_apply_boolean_mask[col3] (afte)      88.7710 (1.0)      142.7500 (1.0)       90.5082 (1.0)    
column_apply_boolean_mask[col3] (befo)     195.0980 (2.20)     303.1020 (2.12)     199.8368 (2.21)   
-----------------------------------------------------------------------------------------------------

Dataframe benchmark

----------------------------------- benchmark '100': 2 tests -----------------------------------
Name (time in us)                          Min                 Max                Mean          
------------------------------------------------------------------------------------------------
df_apply_boolean_mask[100] (afte)     380.6770 (1.05)     654.7080 (1.18)     389.3374 (1.03)   
df_apply_boolean_mask[100] (befo)     362.3220 (1.0)      554.6130 (1.0)      378.7087 (1.0)    
------------------------------------------------------------------------------------------------

----------------------------------- benchmark '10000': 2 tests -----------------------------------
Name (time in us)                            Min                 Max                Mean          
--------------------------------------------------------------------------------------------------
df_apply_boolean_mask[10000] (afte)     399.5240 (1.05)     461.6310 (1.0)      405.1225 (1.04)   
df_apply_boolean_mask[10000] (befo)     379.4080 (1.0)      564.5770 (1.22)     389.6990 (1.0)    
--------------------------------------------------------------------------------------------------

[codecov]

Codecov Report

Merging #9832 (33be855) into branch-22.02 (967a333) will decrease coverage by 0.07%.
The diff coverage is n/a.

@@               Coverage Diff                @@
##           branch-22.02    #9832      +/-   ##
================================================
- Coverage         10.49%   10.41%   -0.08%     
================================================
  Files               119      119              
  Lines             20305    20484     +179     
================================================
+ Hits               2130     2134       +4     
- Misses            18175    18350     +175     

Impacted Files	Coverage Δ
python/custreamz/custreamz/kafka.py	29.16% <0.00%> (-0.63%)	⬇️
python/dask_cudf/dask_cudf/sorting.py	92.30% <0.00%> (-0.61%)	⬇️
python/cudf/cudf/__init__.py	0.00% <0.00%> (ø)
python/cudf/cudf/core/frame.py	0.00% <0.00%> (ø)
python/cudf/cudf/core/index.py	0.00% <0.00%> (ø)
python/cudf/cudf/io/parquet.py	0.00% <0.00%> (ø)
python/cudf/cudf/core/series.py	0.00% <0.00%> (ø)
python/cudf/cudf/utils/utils.py	0.00% <0.00%> (ø)
python/cudf/cudf/utils/dtypes.py	0.00% <0.00%> (ø)
python/cudf/cudf/utils/ioutils.py	0.00% <0.00%> (ø)
... and 19 more

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[vyasr]

I don't have much to add here, the code looks good. However, the methods in BaseIndex and IndexedFrame are identical aside from the passing of the index columns to the _from_columns, so while I think we can move ahead with this for now we should keep thinking about how to abstract away the column selection to pass the Cython APIs. Once all Cython APIs are transitioned to the list of columns approach I think that's the next frontier in simplifying these code paths. We've discussed it before but not come up with a satisfactory resolution IIRC.

[isVoid]

@gpucibot merge