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Potential performance regression by commit 1e9cccc: PERF Allow RangeIndex.take to return a RangeIndex when possible #57520

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@DeaMariaLeon

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@DeaMariaLeon

PR #57445

Benchmarks:

  • groupby.GroupByMethods.time_dtype_as_field (Python) with application='direct', dtype='uint', method='quantile', ncols=1, param5='cython'
  • frame_methods.SortValues.time_frame_sort_values (Python) with ascending=False
  • frame_methods.SortValues.time_frame_sort_values (Python) with ascending=True
  • groupby.Groups.time_series_groups (Python) with key='object_large'
  • gil.ParallelGroups.time_get_groups (Python) with threads=2
  • gil.ParallelGroups.time_get_groups (Python) with threads=8
  • groupby.Groups.time_series_groups (Python) with key='object_small'
  • groupby.GroupByMethods.time_dtype_as_field (Python) with application='direct', dtype='int16', method='quantile', ncols=1, param5='cython'
  • join_merge.JoinIndex.time_left_outer_join_index (Python)
  • groupby.Apply.time_scalar_function_single_col (Python) with factor=5
  • groupby.Groups.time_series_groups (Python) with key='int64_small'
  • groupby.GroupByMethods.time_dtype_as_group (Python) with application='direct', dtype='uint', method='quantile', ncols=1, param5='cython'
  • groupby.Groups.time_series_groups (Python) with key='int64_large'
  • gil.ParallelGroups.time_get_groups (Python) with threads=4

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