Make DateOffset.kwds a property
Returning to an older goal of making DateOffset immutable, this PR moves towards getting rid of `DateOffset.kwds` by making it a property instead of regular attribute.  This uses the `_get_attributes_dict` pattern, albeit without actually using a `_get_attributes_dict` method.

I expect this to entail a small perf penalty since lookups are slower, but that's small potatoes next to the speedups we'll get from caching once these are immutable.


```
asv continuous -E virtualenv -f 1.1 master HEAD -b offset -b timeseries
[...]
    before     after       ratio
  [d3f7d2a6] [fe7a7187]
+   11.46μs    41.89μs      3.66  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<DateOffset: kwds={'months': 2, 'days': 2}>)
+    2.03ms     5.53ms      2.72  timeseries.ResampleSeries.time_resample('datetime', '5min', 'mean')
+    2.15ms     4.68ms      2.17  timeseries.ResampleSeries.time_resample('datetime', '1D', 'ohlc')
+   14.36μs    29.72μs      2.07  offset.OffestDatetimeArithmetic.time_add_10(<YearEnd: month=12>)
+    2.56ms     4.42ms      1.73  timeseries.ToDatetimeCache.time_dup_string_tzoffset_dates(True)
+   11.83μs    18.85μs      1.59  offset.OffestDatetimeArithmetic.time_add(<DateOffset: kwds={'months': 2, 'days': 2}>)
+    9.60μs    14.96μs      1.56  offset.OffestDatetimeArithmetic.time_apply(<DateOffset: kwds={'months': 2, 'days': 2}>)
+   28.55μs    42.49μs      1.49  offset.OffestDatetimeArithmetic.time_subtract(<DateOffset: kwds={'months': 2, 'days': 2}>)
+   12.76μs    18.56μs      1.45  offset.OffestDatetimeArithmetic.time_add(<BusinessYearEnd: month=12>)
+    7.69μs    10.75μs      1.40  timeseries.AsOf.time_asof_single_early('Series')
+    8.71ms    11.63ms      1.34  timeseries.ResampleSeries.time_resample('period', '5min', 'mean')
+   15.21μs    20.20μs      1.33  offset.OffestDatetimeArithmetic.time_add_10(<MonthEnd>)
+   14.20μs    18.47μs      1.30  offset.OffestDatetimeArithmetic.time_add_10(<BusinessQuarterEnd: startingMonth=3>)
+   17.44μs    21.72μs      1.25  offset.OffestDatetimeArithmetic.time_subtract_10(<SemiMonthBegin: day_of_month=15>)
+   11.22μs    13.54μs      1.21  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<YearEnd: month=12>)
+   13.63μs    16.37μs      1.20  offset.OffestDatetimeArithmetic.time_subtract(<BusinessMonthBegin>)
+   10.22μs    12.27μs      1.20  offset.OffestDatetimeArithmetic.time_apply(<BusinessDay>)
+   65.62μs    78.64μs      1.20  offset.OffestDatetimeArithmetic.time_add_10(<DateOffset: kwds={'months': 2, 'days': 2}>)
+   14.46μs    17.28μs      1.19  offset.OffestDatetimeArithmetic.time_subtract(<QuarterBegin: startingMonth=3>)
+   16.11μs    19.14μs      1.19  offset.OffestDatetimeArithmetic.time_subtract(<BusinessDay>)
+   16.31μs    19.07μs      1.17  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessYearBegin: month=1>)
+    2.35ms     2.73ms      1.16  timeseries.DatetimeIndex.time_unique('tz_naive')
+   15.43μs    17.89μs      1.16  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessMonthBegin>)
+   10.68μs    12.38μs      1.16  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<MonthEnd>)
+   10.57μs    12.24μs      1.16  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<BusinessMonthEnd>)
+   14.26μs    16.48μs      1.16  offset.OffestDatetimeArithmetic.time_add_10(<MonthBegin>)
+  121.98μs   140.64μs      1.15  offset.OffestDatetimeArithmetic.time_subtract_10(<DateOffset: kwds={'months': 2, 'days': 2}>)
+   16.60μs    19.11μs      1.15  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessYearEnd: month=12>)
+   15.66μs    18.00μs      1.15  offset.OffestDatetimeArithmetic.time_subtract(<YearEnd: month=12>)
+   16.78μs    19.25μs      1.15  offset.OffestDatetimeArithmetic.time_subtract(<SemiMonthEnd: day_of_month=15>)
+   13.87μs    15.89μs      1.15  offset.OffestDatetimeArithmetic.time_add_10(<BusinessYearEnd: month=12>)
+   14.96μs    17.13μs      1.14  offset.OffestDatetimeArithmetic.time_subtract(<BusinessQuarterBegin: startingMonth=3>)
+   15.27μs    17.43μs      1.14  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessMonthEnd>)
+   12.88μs    14.66μs      1.14  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<BusinessDay>)
+  251.65μs   285.47μs      1.13  offset.OffsetDatetimeIndexArithmetic.time_add_offset(<BusinessQuarterEnd: startingMonth=3>)
+   13.84μs    15.66μs      1.13  offset.OffestDatetimeArithmetic.time_add_10(<YearBegin: month=1>)
+   14.68ms    16.59ms      1.13  timeseries.DatetimeIndex.time_to_time('tz_naive')
+   16.66μs    18.79μs      1.13  offset.OffestDatetimeArithmetic.time_subtract_10(<YearEnd: month=12>)
+   10.00μs    11.19μs      1.12  offset.OffestDatetimeArithmetic.time_apply(<BusinessYearBegin: month=1>)
+   10.30μs    11.50μs      1.12  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<BusinessYearEnd: month=12>)
+   17.44μs    19.47μs      1.12  offset.OffestDatetimeArithmetic.time_subtract(<SemiMonthBegin: day_of_month=15>)
+   18.07μs    20.13μs      1.11  offset.OffestDatetimeArithmetic.time_add_10(<SemiMonthEnd: day_of_month=15>)
+   18.09μs    20.08μs      1.11  offset.OffestDatetimeArithmetic.time_add(<CustomBusinessDay>)
+   14.65μs    16.26μs      1.11  offset.OffestDatetimeArithmetic.time_add_10(<BusinessMonthEnd>)
+    5.32ms     5.91ms      1.11  offset.OffsetDatetimeIndexArithmetic.time_add_offset(<SemiMonthBegin: day_of_month=15>)
+   11.54μs    12.80μs      1.11  offset.OffestDatetimeArithmetic.time_add(<MonthBegin>)
+   12.23μs    13.55μs      1.11  offset.OffestDatetimeArithmetic.time_add(<BusinessQuarterEnd: startingMonth=3>)
+   15.25μs    16.87μs      1.11  offset.OffestDatetimeArithmetic.time_subtract_10(<MonthEnd>)
+   17.78μs    19.66μs      1.11  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessDay>)
+   18.13μs    20.05μs      1.11  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessQuarterEnd: startingMonth=3>)
+   21.89μs    24.19μs      1.10  offset.OffestDatetimeArithmetic.time_subtract_10(<Day>)
+    9.94μs    10.97μs      1.10  offset.OffestDatetimeArithmetic.time_apply(<SemiMonthEnd: day_of_month=15>)
+   10.74μs    11.85μs      1.10  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<BusinessYearBegin: month=1>)
+   18.51μs    20.39μs      1.10  offset.OffestDatetimeArithmetic.time_subtract_10(<SemiMonthEnd: day_of_month=15>)
+   39.52ms    43.52ms      1.10  timeseries.Factorize.time_factorize('Asia/Tokyo')
-   16.22μs    14.75μs      0.91  offset.OffestDatetimeArithmetic.time_add_10(<QuarterBegin: startingMonth=3>)
-   73.13ms    65.36ms      0.89  timeseries.ToDatetimeCache.time_dup_string_tzoffset_dates(False)
-   13.39μs    11.60μs      0.87  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<BusinessQuarterBegin: startingMonth=3>)
-   25.04μs    21.37μs      0.85  offset.OffestDatetimeArithmetic.time_add_10(<Day>)
-   14.25μs    11.66μs      0.82  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<QuarterEnd: startingMonth=3>)
-   44.47ms    34.93ms      0.79  timeseries.Factorize.time_factorize(None)
-    1.98ms     1.45ms      0.73  timeseries.ToDatetimeCache.time_dup_string_dates(False)
-    4.23ms     1.69ms      0.40  timeseries.ResampleSeries.time_resample('datetime', '1D', 'mean')

asv continuous -E virtualenv -f 1.1 master HEAD -b offset -b timeseries
[...]
+   17.01μs    35.30μs      2.08  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessQuarterBegin: startingMonth=3>)
+    3.02ms     4.90ms      1.62  timeseries.AsOf.time_asof_nan_single('DataFrame')
+   77.45ms   124.97ms      1.61  timeseries.Factorize.time_factorize('Asia/Tokyo')
+   12.33μs    19.34μs      1.57  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<DateOffset: days=2, months=2>)
+    9.65μs    14.70μs      1.52  offset.OffestDatetimeArithmetic.time_apply(<DateOffset: days=2, months=2>)
+   11.65μs    17.30μs      1.48  offset.OffestDatetimeArithmetic.time_add(<DateOffset: days=2, months=2>)
+   27.81μs    40.60μs      1.46  offset.OffestDatetimeArithmetic.time_subtract(<DateOffset: days=2, months=2>)
+   71.60μs    91.28μs      1.27  offset.OffestDatetimeArithmetic.time_add(<CustomBusinessMonthEnd>)
+   92.47μs   113.39μs      1.23  offset.OffestDatetimeArithmetic.time_subtract(<CustomBusinessMonthBegin>)
+   18.89μs    23.02μs      1.22  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<Day>)
+   10.49μs    12.66μs      1.21  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<BusinessMonthBegin>)
+   16.88μs    20.14μs      1.19  offset.OffestDatetimeArithmetic.time_subtract(<SemiMonthEnd: day_of_month=15>)
+   15.45μs    18.27μs      1.18  offset.OffestDatetimeArithmetic.time_add_10(<QuarterEnd: startingMonth=3>)
+    8.37μs     9.90μs      1.18  offset.OffestDatetimeArithmetic.time_apply(<MonthBegin>)
+   62.24μs    73.22μs      1.18  offset.OffestDatetimeArithmetic.time_add_10(<DateOffset: days=2, months=2>)
+   21.38μs    24.98μs      1.17  offset.OffestDatetimeArithmetic.time_add_10(<Day>)
+   16.28μs    18.91μs      1.16  offset.OffestDatetimeArithmetic.time_subtract_10(<QuarterBegin: startingMonth=3>)
+   12.20μs    14.11μs      1.16  offset.OffestDatetimeArithmetic.time_add(<BusinessQuarterEnd: startingMonth=3>)
+   11.51μs    13.30μs      1.16  offset.OffestDatetimeArithmetic.time_add(<BusinessYearBegin: month=1>)
+   12.89μs    14.83μs      1.15  offset.OffestDatetimeArithmetic.time_add(<SemiMonthBegin: day_of_month=15>)
+   14.39μs    16.51μs      1.15  offset.OffestDatetimeArithmetic.time_add_10(<QuarterBegin: startingMonth=3>)
+   10.50μs    12.03μs      1.15  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<YearEnd: month=12>)
+    2.32ms     2.66ms      1.14  timeseries.DatetimeIndex.time_unique('tz_naive')
+   15.92μs    18.08μs      1.14  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessMonthEnd>)
+  123.41μs   140.13μs      1.14  offset.OffestDatetimeArithmetic.time_subtract_10(<DateOffset: days=2, months=2>)
+   71.20ms    80.52ms      1.13  offset.OffsetSeriesArithmetic.time_add_offset(<CustomBusinessMonthEnd>)
+   17.68μs    19.89μs      1.13  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessYearBegin: month=1>)
+   15.36μs    17.23μs      1.12  offset.OffestDatetimeArithmetic.time_subtract_10(<MonthBegin>)
+   15.98μs    17.82μs      1.12  offset.OffestDatetimeArithmetic.time_add_10(<SemiMonthBegin: day_of_month=15>)
+   14.64μs    16.31μs      1.11  offset.OffestDatetimeArithmetic.time_add_10(<BusinessMonthEnd>)
+    8.96μs     9.94μs      1.11  offset.OffestDatetimeArithmetic.time_apply(<BusinessYearEnd: month=12>)
+   17.27μs    19.16μs      1.11  offset.OffestDatetimeArithmetic.time_subtract_10(<YearEnd: month=12>)
+   14.44μs    16.01μs      1.11  offset.OffestDatetimeArithmetic.time_subtract(<BusinessYearBegin: month=1>)
+   15.26μs    16.90μs      1.11  offset.OffestDatetimeArithmetic.time_add_10(<BusinessDay>)
+   14.19μs    15.70μs      1.11  offset.OffestDatetimeArithmetic.time_subtract(<MonthBegin>)
+   13.72μs    15.16μs      1.11  offset.OffestDatetimeArithmetic.time_add_10(<MonthEnd>)
+  127.38μs   140.62μs      1.10  offset.OffestDatetimeArithmetic.time_add_10(<CustomBusinessMonthBegin>)
+   13.77μs    15.20μs      1.10  offset.OffestDatetimeArithmetic.time_subtract(<BusinessMonthEnd>)
-   17.66μs    15.89μs      0.90  offset.OffestDatetimeArithmetic.time_subtract_10(<MonthEnd>)
-    4.07ms     3.66ms      0.90  timeseries.ToDatetimeISO8601.time_iso8601_nosep
-   25.01μs    22.41μs      0.90  offset.OffestDatetimeArithmetic.time_subtract_10(<Day>)
-   11.44μs    10.22μs      0.89  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<MonthEnd>)
-   18.64μs    16.19μs      0.87  timeseries.AsOf.time_asof_single('Series')
-   92.96ms    77.71ms      0.84  timeseries.Factorize.time_factorize(None)
-   23.06μs    19.02μs      0.83  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessYearEnd: month=12>)
-   13.05μs    10.37μs      0.79  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<YearBegin: month=1>)
-   23.95μs    14.14μs      0.59  offset.OffestDatetimeArithmetic.time_add(<MonthBegin>)
-  444.49μs   260.00μs      0.58  offset.OffsetDatetimeIndexArithmetic.time_add_offset(<BusinessYearEnd: month=12>)
-    4.31ms     2.46ms      0.57  timeseries.ToDatetimeCache.time_unique_seconds_and_unit(False)
-   21.43μs    11.69μs      0.55  offset.OffestDatetimeArithmetic.time_apply(<BusinessDay>)

asv continuous -E virtualenv -f 1.1 master HEAD -b offset -b timeseries
[...]
    before     after       ratio
  [d3f7d2a6] [fe7a7187]
+   16.58μs    26.15μs      1.58  offset.OffestDatetimeArithmetic.time_subtract(<BusinessQuarterEnd: startingMonth=3>)
+    9.75μs    14.73μs      1.51  offset.OffestDatetimeArithmetic.time_apply(<DateOffset: days=2, months=2>)
+   12.16μs    18.11μs      1.49  offset.OffestDatetimeArithmetic.time_add(<DateOffset: days=2, months=2>)
+   12.21μs    17.69μs      1.45  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<DateOffset: days=2, months=2>)
+   28.97μs    40.89μs      1.41  offset.OffestDatetimeArithmetic.time_subtract(<DateOffset: days=2, months=2>)
+    1.63ms     2.25ms      1.38  timeseries.ResampleSeries.time_resample('datetime', '1D', 'mean')
+   14.71μs    20.02μs      1.36  offset.OffestDatetimeArithmetic.time_subtract(<BusinessYearBegin: month=1>)
+   14.63μs    19.70μs      1.35  offset.OffestDatetimeArithmetic.time_subtract(<BusinessMonthBegin>)
+   19.52μs    26.26μs      1.35  offset.OffestDatetimeArithmetic.time_add(<CustomBusinessDay>)
+   22.16ms    29.79ms      1.34  offset.OffsetSeriesArithmetic.time_add_offset(<CustomBusinessDay>)
+   20.69ms    26.91ms      1.30  timeseries.IrregularOps.time_add
+   16.77μs    20.77μs      1.24  offset.OffestDatetimeArithmetic.time_subtract(<SemiMonthEnd: day_of_month=15>)
+   15.76μs    19.40μs      1.23  offset.OffestDatetimeArithmetic.time_subtract_10(<MonthBegin>)
+   17.31μs    21.15μs      1.22  offset.OffestDatetimeArithmetic.time_subtract_10(<QuarterBegin: startingMonth=3>)
+   15.31μs    18.65μs      1.22  offset.OffestDatetimeArithmetic.time_subtract(<BusinessQuarterBegin: startingMonth=3>)
+   14.71μs    17.75μs      1.21  offset.OffestDatetimeArithmetic.time_add_10(<YearBegin: month=1>)
+   15.88μs    19.10μs      1.20  offset.OffestDatetimeArithmetic.time_subtract(<BusinessDay>)
+    6.38ms     7.55ms      1.18  timeseries.AsOf.time_asof('DataFrame')
+   16.25μs    18.97μs      1.17  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessQuarterEnd: startingMonth=3>)
+   66.50μs    76.79μs      1.15  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<CustomBusinessMonthEnd>)
+   19.02μs    21.70μs      1.14  offset.OffestDatetimeArithmetic.time_add(<Day>)
+   13.95μs    15.83μs      1.13  offset.OffestDatetimeArithmetic.time_subtract(<MonthEnd>)
+   18.43μs    20.88μs      1.13  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<Day>)
+   64.88μs    72.92μs      1.12  offset.OffestDatetimeArithmetic.time_add_10(<DateOffset: days=2, months=2>)
+   12.91μs    14.43μs      1.12  offset.OffestDatetimeArithmetic.time_add(<QuarterEnd: startingMonth=3>)
+   15.23μs    16.99μs      1.12  offset.OffestDatetimeArithmetic.time_add_10(<BusinessDay>)
+   13.70μs    15.24μs      1.11  offset.OffestDatetimeArithmetic.time_add_10(<YearEnd: month=12>)
+  131.58μs   145.99μs      1.11  offset.OffestDatetimeArithmetic.time_subtract_10(<DateOffset: days=2, months=2>)
+   11.07μs    12.26μs      1.11  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<BusinessQuarterBegin: startingMonth=3>)
+   11.14μs    12.34μs      1.11  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<MonthBegin>)
+   11.60μs    12.84μs      1.11  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<BusinessMonthEnd>)
+    2.44ms     2.70ms      1.11  timeseries.DatetimeIndex.time_unique('tz_naive')
+   15.79μs    17.46μs      1.11  offset.OffestDatetimeArithmetic.time_subtract_10(<BusinessMonthEnd>)
+   21.47μs    23.70μs      1.10  offset.OffestDatetimeArithmetic.time_subtract(<Day>)
+   10.57μs    11.64μs      1.10  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<BusinessMonthBegin>)
+    2.98μs     3.28μs      1.10  timeseries.DatetimeIndex.time_get('repeated')
-   10.04μs     9.07μs      0.90  offset.OffestDatetimeArithmetic.time_apply(<BusinessMonthBegin>)
-   12.54μs    11.29μs      0.90  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<YearEnd: month=12>)
-   10.30μs     9.25μs      0.90  offset.OffestDatetimeArithmetic.time_apply(<QuarterBegin: startingMonth=3>)
-   16.50μs    14.67μs      0.89  offset.OffestDatetimeArithmetic.time_add_10(<QuarterEnd: startingMonth=3>)
-    8.11ms     6.98ms      0.86  timeseries.Factorize.time_factorize(None)
-    7.85ms     6.72ms      0.86  timeseries.Factorize.time_factorize('Asia/Tokyo')
-   20.75μs    13.16μs      0.63  offset.OffestDatetimeArithmetic.time_add(<MonthEnd>)
-    2.00ms     1.21ms      0.60  timeseries.ResampleDataFrame.time_method('mean')
-    3.99ms     2.34ms      0.59  timeseries.ToDatetimeCache.time_dup_string_dates(True)
-   19.81μs    11.38μs      0.57  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<BusinessYearBegin: month=1>)
-   30.71μs    12.91μs      0.42  offset.OffestDatetimeArithmetic.time_add(<BusinessQuarterEnd: startingMonth=3>)

asv continuous -E virtualenv -f 1.1 master HEAD -b offset -b timeseries
[...]
    before     after       ratio
  [d3f7d2a6] [fe7a7187]
+   13.89μs    26.44μs      1.90  offset.OffestDatetimeArithmetic.time_add(<BusinessMonthEnd>)
+    9.67μs    15.55μs      1.61  offset.OffestDatetimeArithmetic.time_apply(<DateOffset: days=2, months=2>)
+   11.64μs    17.55μs      1.51  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<DateOffset: days=2, months=2>)
+   12.28μs    17.62μs      1.43  offset.OffestDatetimeArithmetic.time_add(<DateOffset: days=2, months=2>)
+   30.04μs    40.47μs      1.35  offset.OffestDatetimeArithmetic.time_subtract(<DateOffset: days=2, months=2>)
+   14.31μs    17.84μs      1.25  offset.OffestDatetimeArithmetic.time_subtract(<YearBegin: month=1>)
+   14.24μs    17.55μs      1.23  offset.OffestDatetimeArithmetic.time_add_10(<QuarterBegin: startingMonth=3>)
+   16.80μs    20.62μs      1.23  offset.OffestDatetimeArithmetic.time_add_10(<SemiMonthEnd: day_of_month=15>)
+   15.42μs    18.40μs      1.19  offset.OffestDatetimeArithmetic.time_subtract_10(<MonthBegin>)
+   61.16μs    72.26μs      1.18  offset.OffestDatetimeArithmetic.time_add_10(<DateOffset: days=2, months=2>)
+   14.30μs    16.82μs      1.18  offset.OffestDatetimeArithmetic.time_add_10(<BusinessQuarterEnd: startingMonth=3>)
+   14.67μs    17.24μs      1.18  offset.OffestDatetimeArithmetic.time_add_10(<QuarterEnd: startingMonth=3>)
+    9.54μs    11.21μs      1.17  offset.OffestDatetimeArithmetic.time_apply(<QuarterEnd: startingMonth=3>)
+   17.11μs    20.00μs      1.17  offset.OffestDatetimeArithmetic.time_subtract_10(<QuarterBegin: startingMonth=3>)
+   15.54μs    18.01μs      1.16  offset.OffestDatetimeArithmetic.time_apply(<CustomBusinessDay>)
+   10.34μs    11.95μs      1.16  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<MonthEnd>)
+  123.20μs   141.04μs      1.14  offset.OffestDatetimeArithmetic.time_subtract_10(<DateOffset: days=2, months=2>)
+   13.93μs    15.85μs      1.14  offset.OffestDatetimeArithmetic.time_add_10(<YearBegin: month=1>)
+   11.39μs    12.85μs      1.13  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<YearEnd: month=12>)
+   16.79μs    18.84μs      1.12  offset.OffestDatetimeArithmetic.time_subtract_10(<QuarterEnd: startingMonth=3>)
+    2.35ms     2.64ms      1.12  timeseries.DatetimeIndex.time_unique('tz_naive')
+    4.16μs     4.67μs      1.12  timeseries.DatetimeIndex.time_get('dst')
+    6.03μs     6.73μs      1.12  timeseries.DatetimeIndex.time_get('tz_aware')
+   16.77μs    18.74μs      1.12  offset.OffestDatetimeArithmetic.time_add_10(<BusinessDay>)
+   10.47μs    11.69μs      1.12  offset.OffestDatetimeArithmetic.time_apply(<BusinessDay>)
+   12.36μs    13.67μs      1.11  offset.OffestDatetimeArithmetic.time_add(<YearBegin: month=1>)
+    9.49μs    10.49μs      1.11  offset.OffestDatetimeArithmetic.time_apply(<BusinessQuarterEnd: startingMonth=3>)
+  105.28μs   116.31μs      1.10  offset.OffestDatetimeArithmetic.time_apply(<CustomBusinessMonthBegin>)
+   18.86μs    20.84μs      1.10  offset.OffestDatetimeArithmetic.time_subtract_10(<SemiMonthEnd: day_of_month=15>)
+   14.58μs    16.07μs      1.10  offset.OffestDatetimeArithmetic.time_subtract(<MonthBegin>)
-    4.33ms     3.93ms      0.91  offset.OnOffset.time_on_offset(<CustomBusinessMonthBegin>)
-    2.30ms     2.05ms      0.89  timeseries.ResampleSeries.time_resample('datetime', '1D', 'ohlc')
-  148.28ms   131.47ms      0.89  timeseries.DatetimeIndex.time_to_pydatetime('tz_aware')
-   10.14μs     8.93μs      0.88  offset.OffestDatetimeArithmetic.time_apply(<MonthEnd>)
-   13.64μs    11.91μs      0.87  offset.OffestDatetimeArithmetic.time_apply_np_dt64(<SemiMonthBegin: day_of_month=15>)
-   32.12μs    27.72μs      0.86  offset.OffestDatetimeArithmetic.time_add_10(<CustomBusinessDay>)
-   16.82μs    13.94μs      0.83  offset.OffestDatetimeArithmetic.time_add_10(<MonthEnd>)
-    3.27μs     2.59μs      0.79  timeseries.DatetimeIndex.time_get('repeated')
-  313.89μs   235.57μs      0.75  offset.OffsetDatetimeIndexArithmetic.time_add_offset(<QuarterEnd: startingMonth=3>)
-   23.48μs    15.20μs      0.65  offset.OffestDatetimeArithmetic.time_add(<BusinessYearEnd: month=12>)
-    3.96ms     2.55ms      0.64  timeseries.ResampleSeries.time_resample('period', '5min', 'ohlc')
-   23.80μs    13.81μs      0.58  offset.OffestDatetimeArithmetic.time_add(<BusinessDay>)
-    3.13ms     1.45ms      0.46  timeseries.ToDatetimeCache.time_dup_string_dates(False)
```

