Benchmarks that have improved:

       before           after         ratio
     [0141d921]       [f75a5dd8]
     <finalize_indexers_iterators^2~42>       <finalize_indexers_iterators~2>
-     1.59±0.03ms      1.42±0.02ms     0.89  indexing.NumericSeriesIndexing.time_getitem_array(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')

Benchmarks that have stayed the same:

       before           after         ratio
     [0141d921]       [f75a5dd8]
     <finalize_indexers_iterators^2~42>       <finalize_indexers_iterators~2>
       31.1±0.2ms       30.7±0.4ms     0.99  frame_methods.Iteration.time_iteritems_indexing
       37.6±0.2μs       37.3±0.1μs     0.99  indexing.AssignTimeseriesIndex.time_frame_assign_timeseries_index
          290±3μs          275±2μs     0.95  indexing.CategoricalIndexIndexing.time_get_indexer_list('monotonic_decr')
          287±4μs          273±4μs     0.95  indexing.CategoricalIndexIndexing.time_get_indexer_list('monotonic_incr')
          287±3μs          282±2μs     0.98  indexing.CategoricalIndexIndexing.time_get_indexer_list('non_monotonic')
          365±5μs          365±3μs     1.00  indexing.CategoricalIndexIndexing.time_get_loc_scalar('monotonic_decr')
      4.22±0.06μs      4.21±0.03μs     1.00  indexing.CategoricalIndexIndexing.time_get_loc_scalar('monotonic_incr')
         354±20μs          346±3μs     0.98  indexing.CategoricalIndexIndexing.time_get_loc_scalar('non_monotonic')
          233±4μs          231±3μs     0.99  indexing.CategoricalIndexIndexing.time_getitem_bool_array('monotonic_decr')
          233±4μs          229±3μs     0.98  indexing.CategoricalIndexIndexing.time_getitem_bool_array('monotonic_incr')
         847±20μs          820±3μs     0.97  indexing.CategoricalIndexIndexing.time_getitem_bool_array('non_monotonic')
      1.66±0.02ms      1.68±0.01ms     1.01  indexing.CategoricalIndexIndexing.time_getitem_list('monotonic_decr')
      1.65±0.03ms      1.67±0.01ms     1.01  indexing.CategoricalIndexIndexing.time_getitem_list('monotonic_incr')
      1.67±0.03ms      1.68±0.02ms     1.01  indexing.CategoricalIndexIndexing.time_getitem_list('non_monotonic')
         53.3±2μs       50.3±0.3μs     0.94  indexing.CategoricalIndexIndexing.time_getitem_list_like('monotonic_decr')
         50.5±1μs       50.1±0.6μs     0.99  indexing.CategoricalIndexIndexing.time_getitem_list_like('monotonic_incr')
         52.2±3μs       49.8±0.5μs     0.95  indexing.CategoricalIndexIndexing.time_getitem_list_like('non_monotonic')
       3.26±0.1μs      3.24±0.02μs     0.99  indexing.CategoricalIndexIndexing.time_getitem_scalar('monotonic_decr')
       3.27±0.2μs      3.23±0.02μs     0.99  indexing.CategoricalIndexIndexing.time_getitem_scalar('monotonic_incr')
       3.28±0.1μs      3.21±0.02μs     0.98  indexing.CategoricalIndexIndexing.time_getitem_scalar('non_monotonic')
       3.07±0.1μs      3.09±0.03μs     1.01  indexing.CategoricalIndexIndexing.time_getitem_slice('monotonic_decr')
       3.14±0.1μs      3.11±0.03μs     0.99  indexing.CategoricalIndexIndexing.time_getitem_slice('monotonic_incr')
       3.12±0.1μs      3.08±0.05μs     0.99  indexing.CategoricalIndexIndexing.time_getitem_slice('non_monotonic')
       13.6±0.8ms       14.3±0.1ms     1.05  indexing.ChainIndexing.time_chained_indexing('warn')
       13.7±0.7ms       14.2±0.3ms     1.03  indexing.ChainIndexing.time_chained_indexing(None)
      3.73±0.08ms      3.73±0.03ms     1.00  indexing.DataFrameNumericIndexing.time_bool_indexer
         44.5±2μs       43.6±0.3μs     0.98  indexing.DataFrameNumericIndexing.time_iloc
       49.2±0.7μs       49.0±0.6μs     1.00  indexing.DataFrameNumericIndexing.time_iloc_dups
         37.1±1μs       36.3±0.6μs     0.98  indexing.DataFrameNumericIndexing.time_loc
       24.8±0.6ms       25.6±0.8ms     1.03  indexing.DataFrameNumericIndexing.time_loc_dups
         78.3±2μs         77.1±1μs     0.98  indexing.DataFrameStringIndexing.time_boolean_rows
         81.6±2μs         79.7±2μs     0.98  indexing.DataFrameStringIndexing.time_boolean_rows_boolean
          105±3μs        106±0.6μs     1.01  indexing.DataFrameStringIndexing.time_boolean_rows_object
       3.49±0.1μs      3.47±0.06μs     0.99  indexing.DataFrameStringIndexing.time_getitem_scalar
       5.73±0.1μs       5.77±0.1μs     1.01  indexing.DataFrameStringIndexing.time_loc
          320±9μs          316±5μs     0.99  indexing.DatetimeIndexIndexing.time_get_indexer_mismatched_tz
      1.53±0.03μs      1.51±0.01μs     0.99  indexing.GetItemSingleColumn.time_frame_getitem_single_column_int
      1.53±0.05μs      1.52±0.01μs     0.99  indexing.GetItemSingleColumn.time_frame_getitem_single_column_label
         78.7±2μs       79.1±0.7μs     1.01  indexing.IndexSingleRow.time_iloc_row(False)
         75.9±2μs         79.4±1μs     1.05  indexing.IndexSingleRow.time_iloc_row(True)
         83.6±2μs       82.8±0.8μs     0.99  indexing.IndexSingleRow.time_loc_row(False)
         83.0±4μs       82.4±0.7μs     0.99  indexing.IndexSingleRow.time_loc_row(True)
      6.07±0.09ms       5.87±0.2ms     0.97  indexing.InsertColumns.time_assign_list_like_with_setitem
      2.32±0.05ms      2.31±0.02ms     1.00  indexing.InsertColumns.time_assign_list_of_columns_concat
       5.79±0.2ms      5.75±0.09ms     0.99  indexing.InsertColumns.time_assign_with_setitem
       11.1±0.2ms       10.9±0.1ms     0.98  indexing.InsertColumns.time_insert
       14.6±0.2ms       14.4±0.2ms     0.99  indexing.InsertColumns.time_insert_middle
       75.9±0.4μs       77.2±0.2μs     1.02  indexing.IntervalIndexing.time_getitem_list
      2.70±0.03ms       2.90±0.1ms     1.07  indexing.IntervalIndexing.time_getitem_scalar
       3.11±0.2ms       3.12±0.1ms     1.00  indexing.IntervalIndexing.time_loc_list
      2.73±0.03ms      2.75±0.01ms     1.01  indexing.IntervalIndexing.time_loc_scalar
        303±0.5ns          305±1ns     1.00  indexing.MethodLookup.time_lookup_iloc
          303±1ns        307±0.6ns     1.01  indexing.MethodLookup.time_lookup_loc
         10.1±1ms       11.4±0.2ms    ~1.13  indexing.MultiIndexing.time_loc_all_bool_indexers(False)
         11.0±1ms       11.0±0.3ms     1.00  indexing.MultiIndexing.time_loc_all_bool_indexers(True)
         66.3±2ms       66.0±0.8ms     0.99  indexing.MultiIndexing.time_loc_all_lists(False)
         74.4±3ms         70.2±1ms     0.94  indexing.MultiIndexing.time_loc_all_lists(True)
         49.5±3ms       51.4±0.6ms     1.04  indexing.MultiIndexing.time_loc_all_null_slices(False)
         53.2±4ms       53.6±0.5ms     1.01  indexing.MultiIndexing.time_loc_all_null_slices(True)
         319±20μs          343±6μs     1.08  indexing.MultiIndexing.time_loc_all_scalars(False)
         383±30μs          390±7μs     1.02  indexing.MultiIndexing.time_loc_all_scalars(True)
       12.1±0.5ms      12.5±0.08ms     1.04  indexing.MultiIndexing.time_loc_all_slices(False)
       1.87±0.2ms      1.84±0.01ms     0.99  indexing.MultiIndexing.time_loc_all_slices(True)
       17.6±0.9ms       18.6±0.2ms     1.05  indexing.MultiIndexing.time_loc_null_slice_plus_slice(False)
       3.39±0.3ms       3.23±0.1ms     0.95  indexing.MultiIndexing.time_loc_null_slice_plus_slice(True)
          348±9μs          346±2μs     0.99  indexing.MultiIndexing.time_loc_partial_key_bool_indexer(False)
         362±20μs          352±3μs     0.97  indexing.MultiIndexing.time_loc_partial_key_bool_indexer(True)
         70.6±4ms         70.9±3ms     1.00  indexing.MultiIndexing.time_loc_partial_key_list(False)
       7.51±0.7ms       7.65±0.1ms     1.02  indexing.MultiIndexing.time_loc_partial_key_list(True)
       7.67±0.2μs      7.56±0.05μs     0.99  indexing.MultiIndexing.time_loc_partial_key_null_slice(False)
       7.52±0.4μs      7.50±0.04μs     1.00  indexing.MultiIndexing.time_loc_partial_key_null_slice(True)
          184±8μs          187±6μs     1.02  indexing.MultiIndexing.time_loc_partial_key_scalar(False)
         200±20μs          194±3μs     0.97  indexing.MultiIndexing.time_loc_partial_key_scalar(True)
          116±4μs          117±3μs     1.01  indexing.MultiIndexing.time_loc_partial_key_slice(False)
         149±10μs        139±0.8μs     0.93  indexing.MultiIndexing.time_loc_partial_key_slice(True)
       15.7±0.8ms       16.8±0.3ms     1.07  indexing.MultiIndexing.time_loc_slice_plus_null_slice(False)
         442±30μs         466±10μs     1.05  indexing.MultiIndexing.time_loc_slice_plus_null_slice(True)
         246±10μs          257±6μs     1.05  indexing.MultiIndexing.time_xs_full_key(False)
         272±20μs          294±4μs     1.08  indexing.MultiIndexing.time_xs_full_key(True)
          182±6μs          179±3μs     0.99  indexing.MultiIndexing.time_xs_level_0(False)
         202±10μs          196±2μs     0.97  indexing.MultiIndexing.time_xs_level_0(True)
      1.04±0.03ms      1.03±0.02ms     0.99  indexing.MultiIndexing.time_xs_level_1(False)
      1.19±0.09ms      1.12±0.02ms     0.95  indexing.MultiIndexing.time_xs_level_1(True)
       45.2±0.6μs         47.2±1μs     1.04  indexing.NonNumericSeriesIndexing.time_getitem_label_slice('datetime', 'non_monotonic')
       49.2±0.8μs         48.4±1μs     0.98  indexing.NonNumericSeriesIndexing.time_getitem_label_slice('datetime', 'nonunique_monotonic_inc')
         48.3±3μs       47.5±0.7μs     0.98  indexing.NonNumericSeriesIndexing.time_getitem_label_slice('datetime', 'unique_monotonic_inc')
       29.3±0.2μs       29.3±0.4μs     1.00  indexing.NonNumericSeriesIndexing.time_getitem_label_slice('period', 'non_monotonic')
       32.7±0.5μs       32.6±0.4μs     1.00  indexing.NonNumericSeriesIndexing.time_getitem_label_slice('period', 'nonunique_monotonic_inc')
         33.4±2μs       32.7±0.1μs     0.98  indexing.NonNumericSeriesIndexing.time_getitem_label_slice('period', 'unique_monotonic_inc')
         84.6±2μs         83.3±1μs     0.98  indexing.NonNumericSeriesIndexing.time_getitem_label_slice('string', 'non_monotonic')
          101±3μs         98.6±3μs     0.97  indexing.NonNumericSeriesIndexing.time_getitem_label_slice('string', 'nonunique_monotonic_inc')
         90.4±2μs         87.9±2μs     0.97  indexing.NonNumericSeriesIndexing.time_getitem_label_slice('string', 'unique_monotonic_inc')
          387±4μs          386±2μs     1.00  indexing.NonNumericSeriesIndexing.time_getitem_list_like('datetime', 'non_monotonic')
          306±3μs          305±6μs     1.00  indexing.NonNumericSeriesIndexing.time_getitem_list_like('datetime', 'nonunique_monotonic_inc')
         393±10μs         399±20μs     1.02  indexing.NonNumericSeriesIndexing.time_getitem_list_like('datetime', 'unique_monotonic_inc')
          354±3μs          359±5μs     1.02  indexing.NonNumericSeriesIndexing.time_getitem_list_like('period', 'non_monotonic')
          263±3μs          264±1μs     1.00  indexing.NonNumericSeriesIndexing.time_getitem_list_like('period', 'nonunique_monotonic_inc')
         366±20μs         361±10μs     0.99  indexing.NonNumericSeriesIndexing.time_getitem_list_like('period', 'unique_monotonic_inc')
          938±8μs         973±30μs     1.04  indexing.NonNumericSeriesIndexing.time_getitem_list_like('string', 'non_monotonic')
         845±20μs         867±20μs     1.03  indexing.NonNumericSeriesIndexing.time_getitem_list_like('string', 'nonunique_monotonic_inc')
         976±40μs         982±20μs     1.01  indexing.NonNumericSeriesIndexing.time_getitem_list_like('string', 'unique_monotonic_inc')
       24.2±0.1μs       24.1±0.2μs     1.00  indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('datetime', 'non_monotonic')
       24.0±0.6μs       24.5±0.3μs     1.02  indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('datetime', 'nonunique_monotonic_inc')
       24.7±0.5μs       24.8±0.5μs     1.00  indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('datetime', 'unique_monotonic_inc')
       21.0±0.3μs       21.5±0.2μs     1.03  indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('period', 'non_monotonic')
       21.6±0.3μs       21.5±0.2μs     0.99  indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('period', 'nonunique_monotonic_inc')
       21.2±0.3μs       22.2±0.2μs     1.05  indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('period', 'unique_monotonic_inc')
       64.5±0.8μs       67.5±0.6μs     1.05  indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('string', 'non_monotonic')
         69.3±2μs         74.2±4μs     1.07  indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('string', 'unique_monotonic_inc')
       7.61±0.2μs      7.26±0.06μs     0.95  indexing.NonNumericSeriesIndexing.time_getitem_scalar('datetime', 'non_monotonic')
       9.78±0.1μs      9.52±0.05μs     0.97  indexing.NonNumericSeriesIndexing.time_getitem_scalar('datetime', 'nonunique_monotonic_inc')
      9.25±0.05μs       9.17±0.4μs     0.99  indexing.NonNumericSeriesIndexing.time_getitem_scalar('datetime', 'unique_monotonic_inc')
      3.78±0.03μs      3.73±0.09μs     0.99  indexing.NonNumericSeriesIndexing.time_getitem_scalar('period', 'non_monotonic')
      6.07±0.09μs      5.72±0.04μs     0.94  indexing.NonNumericSeriesIndexing.time_getitem_scalar('period', 'nonunique_monotonic_inc')
      5.80±0.08μs      5.49±0.04μs     0.95  indexing.NonNumericSeriesIndexing.time_getitem_scalar('period', 'unique_monotonic_inc')
      2.02±0.04μs      1.99±0.03μs     0.99  indexing.NonNumericSeriesIndexing.time_getitem_scalar('string', 'non_monotonic')
       4.63±0.1μs      4.71±0.04μs     1.02  indexing.NonNumericSeriesIndexing.time_getitem_scalar('string', 'nonunique_monotonic_inc')
      2.62±0.05μs      2.76±0.06μs     1.05  indexing.NonNumericSeriesIndexing.time_getitem_scalar('string', 'unique_monotonic_inc')
          112±2ms        110±0.7ms     0.98  indexing.NumericSeriesIndexing.time_getitem_array(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
      3.31±0.05ms      3.31±0.02ms     1.00  indexing.NumericSeriesIndexing.time_getitem_array(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
         99.7±3ms         96.0±3ms     0.96  indexing.NumericSeriesIndexing.time_getitem_array(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
         98.5±3ms         91.6±3ms     0.93  indexing.NumericSeriesIndexing.time_getitem_array(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
      2.08±0.02ms      1.91±0.02ms     0.92  indexing.NumericSeriesIndexing.time_getitem_array(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
      1.06±0.02ms         1.02±0ms     0.96  indexing.NumericSeriesIndexing.time_getitem_list_like(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
      1.39±0.05ms      1.34±0.01ms     0.96  indexing.NumericSeriesIndexing.time_getitem_list_like(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
          420±7μs          429±4μs     1.02  indexing.NumericSeriesIndexing.time_getitem_list_like(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
          478±5μs          490±3μs     1.03  indexing.NumericSeriesIndexing.time_getitem_list_like(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
          578±5μs          615±4μs     1.06  indexing.NumericSeriesIndexing.time_getitem_list_like(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
          830±8μs          854±8μs     1.03  indexing.NumericSeriesIndexing.time_getitem_list_like(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
          111±1ms          113±3ms     1.01  indexing.NumericSeriesIndexing.time_getitem_lists(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
      6.74±0.04ms      6.65±0.05ms     0.99  indexing.NumericSeriesIndexing.time_getitem_lists(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
       99.5±0.8ms         98.9±3ms     0.99  indexing.NumericSeriesIndexing.time_getitem_lists(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
      3.62±0.07ms      3.60±0.04ms     0.99  indexing.NumericSeriesIndexing.time_getitem_lists(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
         93.1±4ms         99.1±2ms     1.06  indexing.NumericSeriesIndexing.time_getitem_lists(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
      4.09±0.06ms      4.08±0.03ms     1.00  indexing.NumericSeriesIndexing.time_getitem_lists(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
       18.5±0.4μs       18.4±0.2μs     0.99  indexing.NumericSeriesIndexing.time_getitem_scalar(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
      4.03±0.04μs      3.95±0.03μs     0.98  indexing.NumericSeriesIndexing.time_getitem_scalar(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
       11.7±0.1μs      12.0±0.06μs     1.02  indexing.NumericSeriesIndexing.time_getitem_scalar(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
      4.35±0.04μs      4.24±0.02μs     0.98  indexing.NumericSeriesIndexing.time_getitem_scalar(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
       10.0±0.7ms      9.92±0.07ms     0.99  indexing.NumericSeriesIndexing.time_getitem_scalar(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
      6.31±0.04μs      6.29±0.06μs     1.00  indexing.NumericSeriesIndexing.time_getitem_scalar(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
         99.8±2μs         96.6±1μs     0.97  indexing.NumericSeriesIndexing.time_getitem_slice(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
      23.8±0.07μs       23.3±0.1μs     0.98  indexing.NumericSeriesIndexing.time_getitem_slice(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
       97.7±0.9μs       89.3±0.6μs     0.91  indexing.NumericSeriesIndexing.time_getitem_slice(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
       57.2±0.4μs       57.3±0.3μs     1.00  indexing.NumericSeriesIndexing.time_getitem_slice(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
       91.4±0.2μs       92.7±0.5μs     1.01  indexing.NumericSeriesIndexing.time_getitem_slice(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
       74.0±0.9μs         73.4±1μs     0.99  indexing.NumericSeriesIndexing.time_getitem_slice(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
       92.6±0.4μs       93.0±0.2μs     1.01  indexing.NumericSeriesIndexing.time_iloc_array(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
       92.6±0.5μs       93.1±0.2μs     1.01  indexing.NumericSeriesIndexing.time_iloc_array(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
       93.4±0.5μs       93.5±0.6μs     1.00  indexing.NumericSeriesIndexing.time_iloc_array(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
       93.1±0.3μs       93.3±0.6μs     1.00  indexing.NumericSeriesIndexing.time_iloc_array(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
         93.4±1μs       92.8±0.4μs     0.99  indexing.NumericSeriesIndexing.time_iloc_array(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
         92.3±1μs       93.6±0.9μs     1.01  indexing.NumericSeriesIndexing.time_iloc_array(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
       24.3±0.1μs      24.6±0.08μs     1.01  indexing.NumericSeriesIndexing.time_iloc_list_like(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
      24.1±0.08μs       24.3±0.1μs     1.01  indexing.NumericSeriesIndexing.time_iloc_list_like(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
       24.3±0.3μs       24.1±0.1μs     0.99  indexing.NumericSeriesIndexing.time_iloc_list_like(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
       24.2±0.6μs       24.4±0.1μs     1.01  indexing.NumericSeriesIndexing.time_iloc_list_like(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
       24.4±0.4μs       24.4±0.1μs     1.00  indexing.NumericSeriesIndexing.time_iloc_list_like(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
       24.2±0.3μs      24.2±0.09μs     1.00  indexing.NumericSeriesIndexing.time_iloc_list_like(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
      3.88±0.03μs      3.91±0.01μs     1.01  indexing.NumericSeriesIndexing.time_iloc_scalar(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
      3.93±0.02μs      3.87±0.02μs     0.99  indexing.NumericSeriesIndexing.time_iloc_scalar(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
      3.90±0.03μs      3.89±0.02μs     1.00  indexing.NumericSeriesIndexing.time_iloc_scalar(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
      3.91±0.04μs      3.90±0.02μs     1.00  indexing.NumericSeriesIndexing.time_iloc_scalar(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
      3.85±0.03μs      3.88±0.03μs     1.01  indexing.NumericSeriesIndexing.time_iloc_scalar(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
      3.96±0.04μs      3.93±0.01μs     0.99  indexing.NumericSeriesIndexing.time_iloc_scalar(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
       13.4±0.1μs       13.3±0.1μs     1.00  indexing.NumericSeriesIndexing.time_iloc_slice(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
      13.6±0.09μs      13.3±0.08μs     0.98  indexing.NumericSeriesIndexing.time_iloc_slice(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
       13.4±0.1μs       13.3±0.2μs     0.99  indexing.NumericSeriesIndexing.time_iloc_slice(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
       13.4±0.2μs       13.5±0.4μs     1.01  indexing.NumericSeriesIndexing.time_iloc_slice(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
       13.6±0.1μs       13.6±0.2μs     1.00  indexing.NumericSeriesIndexing.time_iloc_slice(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
       13.4±0.2μs       13.2±0.1μs     0.98  indexing.NumericSeriesIndexing.time_iloc_slice(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
        111±0.8ms          110±1ms     0.99  indexing.NumericSeriesIndexing.time_loc_array(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
      3.55±0.06ms      3.29±0.02ms     0.93  indexing.NumericSeriesIndexing.time_loc_array(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
       94.6±0.7ms       91.8±0.7ms     0.97  indexing.NumericSeriesIndexing.time_loc_array(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
      1.41±0.02ms      1.40±0.02ms     0.99  indexing.NumericSeriesIndexing.time_loc_array(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
       90.9±0.6ms       90.4±0.9ms     0.99  indexing.NumericSeriesIndexing.time_loc_array(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
      1.93±0.05ms      1.89±0.01ms     0.98  indexing.NumericSeriesIndexing.time_loc_array(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
         960±30μs          903±3μs     0.94  indexing.NumericSeriesIndexing.time_loc_list_like(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
      1.29±0.03ms      1.23±0.02ms     0.96  indexing.NumericSeriesIndexing.time_loc_list_like(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
          379±2μs          365±5μs     0.96  indexing.NumericSeriesIndexing.time_loc_list_like(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
          450±6μs          431±3μs     0.96  indexing.NumericSeriesIndexing.time_loc_list_like(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
          541±6μs          533±5μs     0.99  indexing.NumericSeriesIndexing.time_loc_list_like(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
         822±10μs          808±5μs     0.98  indexing.NumericSeriesIndexing.time_loc_list_like(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
       38.9±0.6μs       36.8±0.2μs     0.94  indexing.NumericSeriesIndexing.time_loc_scalar(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
       8.97±0.1μs       8.87±0.2μs     0.99  indexing.NumericSeriesIndexing.time_loc_scalar(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
       24.6±0.4μs       23.1±0.4μs     0.94  indexing.NumericSeriesIndexing.time_loc_scalar(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
       9.27±0.4μs      9.16±0.06μs     0.99  indexing.NumericSeriesIndexing.time_loc_scalar(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
      10.1±0.09ms      10.0±0.09ms     0.99  indexing.NumericSeriesIndexing.time_loc_scalar(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
      11.4±0.08μs      11.4±0.04μs     1.00  indexing.NumericSeriesIndexing.time_loc_scalar(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
         93.7±1μs       88.8±0.5μs     0.95  indexing.NumericSeriesIndexing.time_loc_slice(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
       22.9±0.2μs      22.4±0.08μs     0.98  indexing.NumericSeriesIndexing.time_loc_slice(<class 'pandas.core.indexes.numeric.Float64Index'>, 'unique_monotonic_inc')
         59.8±2μs       59.1±0.3μs     0.99  indexing.NumericSeriesIndexing.time_loc_slice(<class 'pandas.core.indexes.numeric.Int64Index'>, 'nonunique_monotonic_inc')
       23.1±0.6μs       22.6±0.2μs     0.98  indexing.NumericSeriesIndexing.time_loc_slice(<class 'pandas.core.indexes.numeric.Int64Index'>, 'unique_monotonic_inc')
       10.2±0.2ms      10.1±0.07ms     0.99  indexing.NumericSeriesIndexing.time_loc_slice(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'nonunique_monotonic_inc')
       27.0±0.5μs       27.1±0.3μs     1.00  indexing.NumericSeriesIndexing.time_loc_slice(<class 'pandas.core.indexes.numeric.UInt64Index'>, 'unique_monotonic_inc')
          166±1μs        168±0.6μs     1.01  indexing.SortedAndUnsortedDatetimeIndexLoc.time_loc_sorted
        184±0.5μs        185±0.8μs     1.01  indexing.SortedAndUnsortedDatetimeIndexLoc.time_loc_unsorted
      1.15±0.07ms      1.19±0.09ms     1.04  indexing.Take.time_take('datetime')
      1.28±0.01ms      1.11±0.05ms    ~0.87  indexing.Take.time_take('int')
          622±4μs         609±10μs     0.98  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_decr', False, 100000)
         10.7±2ms       10.7±0.6ms     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_decr', False, 2000000)
         361±10ns          378±2ns     1.05  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_decr', True, 100000)
          398±5ns          408±7ns     1.03  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_decr', True, 2000000)
      2.11±0.01μs      2.13±0.01μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_incr', False, 100000)
      2.15±0.02μs      2.16±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_incr', False, 2000000)
          351±6ns          362±5ns     1.03  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_incr', True, 100000)
      1.62±0.01μs      1.62±0.02μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_incr', True, 2000000)
         430±20μs         462±30μs     1.07  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'non_monotonic', False, 100000)
       7.29±0.4ms       7.52±0.4ms     1.03  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'non_monotonic', False, 2000000)
         363±10ns          372±3ns     1.03  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'non_monotonic', True, 100000)
          390±8ns          397±4ns     1.02  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'non_monotonic', True, 2000000)
         723±90μs          618±6μs    ~0.86  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_decr', False, 100000)
         11.0±1ms       11.2±0.2ms     1.02  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_decr', False, 2000000)
          376±6ns          365±9ns     0.97  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_decr', True, 100000)
          390±2ns          391±3ns     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_decr', True, 2000000)
      2.11±0.01μs      2.13±0.01μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_incr', False, 100000)
      2.17±0.02μs      2.15±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_incr', False, 2000000)
          371±3ns          375±4ns     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_incr', True, 100000)
      1.48±0.01μs      1.49±0.03μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_incr', True, 2000000)
          455±4μs         456±20μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'non_monotonic', False, 100000)
       8.17±0.2ms       8.79±0.3ms     1.08  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'non_monotonic', False, 2000000)
          377±4ns          370±3ns     0.98  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'non_monotonic', True, 100000)
          396±3ns          390±2ns     0.98  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'non_monotonic', True, 2000000)
       11.5±0.3ms         11.5±1ms     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_decr', False, 2000000)
        195±0.7μs        195±0.4μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_decr', True, 100000)
      4.93±0.04ms      4.86±0.08ms     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_decr', True, 2000000)
      2.19±0.01μs      2.20±0.02μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_incr', False, 100000)
      2.26±0.02μs      2.25±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_incr', False, 2000000)
          188±2μs          189±3μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_incr', True, 100000)
      4.66±0.05ms      4.74±0.04ms     1.02  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_incr', True, 2000000)
         580±20μs        338±100μs    ~0.58  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'non_monotonic', False, 100000)
       9.56±0.1ms       9.36±0.2ms     0.98  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'non_monotonic', False, 2000000)
          189±1μs          188±1μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'non_monotonic', True, 100000)
      4.67±0.05ms      4.67±0.04ms     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'non_monotonic', True, 2000000)
          571±8μs          584±8μs     1.02  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_decr', False, 100000)
         13.8±2ms         12.0±1ms    ~0.87  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_decr', False, 2000000)
         380±10ns          376±6ns     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_decr', True, 100000)
          403±6ns          399±2ns     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_decr', True, 2000000)
      2.21±0.03μs      2.20±0.02μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_incr', False, 100000)
      2.28±0.01μs      2.27±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_incr', False, 2000000)
          356±8ns          354±6ns     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_incr', True, 100000)
      1.65±0.01μs      1.68±0.01μs     1.02  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_incr', True, 2000000)
         596±30μs         559±20μs     0.94  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'non_monotonic', False, 100000)
       9.73±0.2ms       9.56±0.2ms     0.98  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'non_monotonic', False, 2000000)
          367±5ns          387±1ns     1.05  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'non_monotonic', True, 100000)
          401±2ns          400±4ns     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'non_monotonic', True, 2000000)
         603±10μs         584±20μs     0.97  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_decr', False, 100000)
         11.2±2ms         13.9±2ms    ~1.23  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_decr', False, 2000000)
          383±9ns          382±3ns     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_decr', True, 100000)
          396±4ns          398±2ns     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_decr', True, 2000000)
      2.20±0.03μs      2.17±0.02μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_incr', False, 100000)
      2.27±0.01μs      2.27±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_incr', False, 2000000)
          348±3ns          346±8ns     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_incr', True, 100000)
      1.68±0.01μs      1.67±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_incr', True, 2000000)
         568±20μs         565±10μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'non_monotonic', False, 100000)
       10.2±0.3ms       9.98±0.2ms     0.97  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'non_monotonic', False, 2000000)
          378±6ns          384±1ns     1.02  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'non_monotonic', True, 100000)
          399±7ns          399±2ns     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'non_monotonic', True, 2000000)
        468±200μs        467±200μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_decr', False, 100000)
       10.2±0.7ms       11.1±0.5ms     1.09  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_decr', False, 2000000)
          200±1μs          201±1μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_decr', True, 100000)
      4.81±0.05ms      4.79±0.04ms     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_decr', True, 2000000)
      2.15±0.03μs      2.21±0.01μs     1.03  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_incr', False, 100000)
      2.24±0.01μs      2.25±0.02μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_incr', False, 2000000)
          193±2μs          195±1μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_incr', True, 100000)
      4.62±0.04ms      4.64±0.08ms     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_incr', True, 2000000)
         566±20μs        482±100μs    ~0.85  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'non_monotonic', False, 100000)
       9.01±0.2ms       9.17±0.1ms     1.02  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'non_monotonic', False, 2000000)
          193±3μs          197±2μs     1.02  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'non_monotonic', True, 100000)
      4.56±0.03ms      4.58±0.06ms     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'non_monotonic', True, 2000000)
         588±10μs         616±30μs     1.05  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_decr', False, 100000)
         11.2±1ms         10.6±1ms     0.95  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_decr', False, 2000000)
      2.20±0.02μs      2.17±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_decr', True, 100000)
      2.23±0.02μs      2.24±0.02μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_decr', True, 2000000)
      4.00±0.02μs      4.04±0.02μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_incr', False, 100000)
      4.07±0.04μs      4.13±0.02μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_incr', False, 2000000)
      2.14±0.03μs      2.15±0.03μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_incr', True, 100000)
      3.45±0.03μs      3.44±0.02μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_incr', True, 2000000)
         570±10μs         569±10μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'non_monotonic', False, 100000)
       9.66±0.2ms       9.83±0.2ms     1.02  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'non_monotonic', False, 2000000)
      2.21±0.02μs      2.19±0.02μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'non_monotonic', True, 100000)
      2.24±0.01μs      2.24±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'non_monotonic', True, 2000000)
          596±8μs         595±20μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_decr', False, 100000)
         11.4±2ms       10.9±0.3ms     0.95  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_decr', False, 2000000)
      2.28±0.02μs      2.25±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_decr', True, 100000)
      2.31±0.01μs      2.30±0.02μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_decr', True, 2000000)
      4.04±0.08μs      4.06±0.03μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_incr', False, 100000)
      4.17±0.03μs      4.13±0.02μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_incr', False, 2000000)
      2.24±0.02μs      2.22±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_incr', True, 100000)
      3.54±0.04μs      3.54±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_incr', True, 2000000)
          563±8μs         581±10μs     1.03  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'non_monotonic', False, 100000)
       9.80±0.2ms       10.1±0.2ms     1.03  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'non_monotonic', False, 2000000)
      2.29±0.04μs      2.27±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'non_monotonic', True, 100000)
      2.30±0.01μs      2.30±0.02μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'non_monotonic', True, 2000000)
         598±10μs          599±3μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_decr', False, 100000)
       10.8±0.7ms       9.93±0.8ms     0.92  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_decr', False, 2000000)
          200±2μs          202±1μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_decr', True, 100000)
      4.76±0.05ms      4.82±0.07ms     1.01  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_decr', True, 2000000)
      3.80±0.03μs      3.80±0.02μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_incr', False, 100000)
      3.83±0.04μs      3.90±0.03μs     1.02  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_incr', False, 2000000)
          195±1μs        196±0.7μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_incr', True, 100000)
      4.62±0.03ms      4.61±0.04ms     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_incr', True, 2000000)
        584±100μs         572±90μs     0.98  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'non_monotonic', False, 100000)
      9.15±0.07ms       9.05±0.3ms     0.99  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'non_monotonic', False, 2000000)
          195±2μs        196±0.6μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'non_monotonic', True, 100000)
      4.80±0.04ms      4.64±0.08ms     0.97  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'non_monotonic', True, 2000000)
          608±3μs         629±20μs     1.03  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_decr', False, 100000)
         13.1±2ms         10.9±1ms    ~0.83  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_decr', False, 2000000)
          363±4ns          386±3ns     1.06  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_decr', True, 100000)
          401±5ns          400±2ns     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_decr', True, 2000000)
      2.12±0.02μs      2.14±0.01μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_incr', False, 100000)
      2.16±0.01μs      2.17±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_incr', False, 2000000)
          390±1ns          383±6ns     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_incr', True, 100000)
      1.65±0.01μs         1.65±0μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'monotonic_incr', True, 2000000)
          433±7μs          433±7μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'non_monotonic', False, 100000)
       7.52±0.2ms       7.28±0.3ms     0.97  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'non_monotonic', False, 2000000)
          398±5ns          384±5ns     0.96  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'non_monotonic', True, 100000)
          396±5ns          407±6ns     1.03  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float32Engine'>, <class 'numpy.float32'>), 'non_monotonic', True, 2000000)
          607±7μs          613±4μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_decr', False, 100000)
         12.7±2ms         12.3±2ms     0.97  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_decr', False, 2000000)
          385±4ns          390±2ns     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_decr', True, 100000)
          401±5ns          397±6ns     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_decr', True, 2000000)
      2.13±0.02μs      2.14±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_incr', False, 100000)
      2.14±0.01μs      2.18±0.01μs     1.02  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_incr', False, 2000000)
          387±3ns          390±5ns     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_incr', True, 100000)
      1.48±0.01μs      1.47±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'monotonic_incr', True, 2000000)
         445±20μs          444±4μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'non_monotonic', False, 100000)
       8.15±0.3ms       8.24±0.3ms     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'non_monotonic', False, 2000000)
          382±7ns          391±4ns     1.02  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'non_monotonic', True, 100000)
          401±3ns          399±5ns     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Float64Engine'>, <class 'numpy.float64'>), 'non_monotonic', True, 2000000)
         589±90μs          588±8μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_decr', False, 100000)
         11.1±1ms       12.1±0.8ms     1.09  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_decr', False, 2000000)
        196±0.2μs        195±0.4μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_decr', True, 100000)
      4.93±0.09ms       4.78±0.2ms     0.97  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_decr', True, 2000000)
      2.24±0.01μs      2.23±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_incr', False, 100000)
      2.26±0.02μs      2.26±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_incr', False, 2000000)
        191±0.8μs        188±0.5μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_incr', True, 100000)
      4.70±0.04ms      4.70±0.07ms     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_incr', True, 2000000)
        318±100μs        575±100μs    ~1.81  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'non_monotonic', False, 100000)
       9.49±0.2ms       9.60±0.3ms     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'non_monotonic', False, 2000000)
          191±2μs        187±0.8μs     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'non_monotonic', True, 100000)
      4.75±0.07ms      4.69±0.07ms     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'non_monotonic', True, 2000000)
         588±10μs          585±9μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_decr', False, 100000)
         11.0±2ms         12.3±2ms    ~1.12  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_decr', False, 2000000)
          386±9ns          369±5ns     0.96  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_decr', True, 100000)
          408±4ns          407±4ns     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_decr', True, 2000000)
      2.20±0.02μs      2.23±0.02μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_incr', False, 100000)
      2.29±0.02μs      2.28±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_incr', False, 2000000)
          393±4ns          390±3ns     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_incr', True, 100000)
      1.72±0.02μs         1.72±0μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'monotonic_incr', True, 2000000)
         584±10μs          570±8μs     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'non_monotonic', False, 100000)
       9.90±0.3ms       9.67±0.2ms     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'non_monotonic', False, 2000000)
          390±9ns          395±3ns     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'non_monotonic', True, 100000)
          403±2ns          408±2ns     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int32Engine'>, <class 'numpy.int32'>), 'non_monotonic', True, 2000000)
          594±8μs          581±3μs     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_decr', False, 100000)
         12.3±1ms         12.3±1ms     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_decr', False, 2000000)
          394±3ns          391±3ns     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_decr', True, 100000)
          410±5ns          412±7ns     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_decr', True, 2000000)
      2.24±0.01μs      2.23±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_incr', False, 100000)
      2.31±0.02μs      2.29±0.02μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_incr', False, 2000000)
          396±3ns          391±3ns     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_incr', True, 100000)
      1.69±0.02μs      1.70±0.02μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'monotonic_incr', True, 2000000)
          579±7μs          570±7μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'non_monotonic', False, 100000)
       10.1±0.2ms       9.94±0.2ms     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'non_monotonic', False, 2000000)
          393±3ns          389±5ns     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'non_monotonic', True, 100000)
          407±5ns          409±3ns     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int64Engine'>, <class 'numpy.int64'>), 'non_monotonic', True, 2000000)
        512±100μs        447±100μs    ~0.87  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_decr', False, 100000)
       9.84±0.7ms       10.3±0.6ms     1.05  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_decr', False, 2000000)
          200±1μs          205±3μs     1.02  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_decr', True, 100000)
      4.79±0.02ms      4.85±0.02ms     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_decr', True, 2000000)
      2.22±0.02μs         2.21±0μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_incr', False, 100000)
      2.27±0.02μs      2.27±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_incr', False, 2000000)
          196±1μs        194±0.5μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_incr', True, 100000)
      4.64±0.01ms      4.60±0.06ms     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'monotonic_incr', True, 2000000)
         573±10μs        361±100μs    ~0.63  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'non_monotonic', False, 100000)
       9.22±0.3ms       9.02±0.2ms     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'non_monotonic', False, 2000000)
          193±1μs        193±0.4μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'non_monotonic', True, 100000)
      4.60±0.06ms      4.65±0.07ms     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.Int8Engine'>, <class 'numpy.int8'>), 'non_monotonic', True, 2000000)
          580±4μs          581±3μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_decr', False, 100000)
         10.7±1ms         11.4±2ms     1.07  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_decr', False, 2000000)
      2.19±0.01μs      2.19±0.03μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_decr', True, 100000)
      2.23±0.03μs      2.23±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_decr', True, 2000000)
      4.02±0.04μs      4.01±0.02μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_incr', False, 100000)
      4.12±0.03μs      4.10±0.02μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_incr', False, 2000000)
      2.18±0.01μs      2.20±0.01μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_incr', True, 100000)
      3.46±0.03μs      3.50±0.02μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'monotonic_incr', True, 2000000)
          563±3μs         570±20μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'non_monotonic', False, 100000)
       9.50±0.2ms       9.67±0.2ms     1.02  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'non_monotonic', False, 2000000)
      2.18±0.02μs      2.18±0.01μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'non_monotonic', True, 100000)
      2.27±0.08μs      2.24±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt32Engine'>, <class 'numpy.uint32'>), 'non_monotonic', True, 2000000)
          586±4μs          582±2μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_decr', False, 100000)
         12.3±1ms         12.2±1ms     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_decr', False, 2000000)
      2.28±0.02μs         2.24±0μs     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_decr', True, 100000)
      2.34±0.01μs      2.31±0.02μs     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_decr', True, 2000000)
      4.11±0.04μs      4.07±0.02μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_incr', False, 100000)
      4.24±0.05μs      4.14±0.01μs     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_incr', False, 2000000)
      2.31±0.01μs      2.27±0.01μs     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_incr', True, 100000)
      3.58±0.04μs      3.54±0.01μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'monotonic_incr', True, 2000000)
          580±6μs         584±30μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'non_monotonic', False, 100000)
       10.2±0.2ms       10.0±0.3ms     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'non_monotonic', False, 2000000)
      2.31±0.01μs      2.26±0.01μs     0.98  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'non_monotonic', True, 100000)
      2.31±0.02μs      2.29±0.02μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt64Engine'>, <class 'numpy.uint64'>), 'non_monotonic', True, 2000000)
       10.1±0.3ms         12.1±2ms    ~1.20  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_decr', False, 2000000)
          200±1μs        202±0.3μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_decr', True, 100000)
      4.73±0.07ms       4.77±0.1ms     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_decr', True, 2000000)
      3.82±0.03μs      3.79±0.02μs     0.99  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_incr', False, 100000)
      3.80±0.03μs      3.86±0.02μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_incr', False, 2000000)
        194±0.6μs          194±1μs     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_incr', True, 100000)
      4.55±0.03ms      4.62±0.03ms     1.02  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_incr', True, 2000000)
        336±100μs         573±90μs    ~1.71  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'non_monotonic', False, 100000)
       8.93±0.2ms       9.05±0.2ms     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'non_monotonic', False, 2000000)
        195±0.7μs          196±2μs     1.01  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'non_monotonic', True, 100000)
      4.57±0.03ms      4.58±0.04ms     1.00  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'non_monotonic', True, 2000000)
      3.80±0.02ms      3.79±0.04ms     1.00  indexing_engines.ObjectEngineIndexing.time_get_loc('monotonic_decr')
      2.72±0.04μs      2.75±0.01μs     1.01  indexing_engines.ObjectEngineIndexing.time_get_loc('monotonic_incr')
      3.76±0.01ms      3.78±0.03ms     1.01  indexing_engines.ObjectEngineIndexing.time_get_loc('non_monotonic')
      1.86±0.03μs      1.82±0.01μs     0.98  sparse.GetItem.time_integer_indexing

Benchmarks that have got worse:

       before           after         ratio
     [0141d921]       [f75a5dd8]
     <finalize_indexers_iterators^2~42>       <finalize_indexers_iterators~2>
+      69.2±0.8μs       85.7±0.5μs     1.24  indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('string', 'nonunique_monotonic_inc')
+       477±100μs         593±80μs     1.24  indexing_engines.NumericEngineIndexing.time_get_loc((<class 'pandas._libs.index.Int16Engine'>, <class 'numpy.int16'>), 'monotonic_decr', False, 100000)
+       462±100μs         635±40μs     1.38  indexing_engines.NumericEngineIndexing.time_get_loc_near_middle((<class 'pandas._libs.index.UInt8Engine'>, <class 'numpy.uint8'>), 'monotonic_decr', False, 100000)