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CI/BENCH: Make CategoricalIndexIndexing benchmark less flaky #49870

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Merged
merged 3 commits into from
Nov 26, 2022
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CI/BENCH: Make CategoricalIndexIndexing benchmark less flaky #49870

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CI/BENCH: Make CategoricalIndexIndexing benchmark less flaky
mroeschke Nov 23, 2022
89b347f
Merge remote-tracking branch 'upstream/main' into ci/flaky_benchmark
mroeschke Nov 24, 2022
d318473
Merge remote-tracking branch 'upstream/main' into ci/flaky_benchmark
mroeschke Nov 25, 2022
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8 changes: 2 additions & 6 deletions asv_bench/benchmarks/indexing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,8 +3,6 @@
lower-level methods directly on Index and subclasses, see index_object.py,
indexing_engine.py, and index_cached.py
"""
import itertools
import string
import warnings

import numpy as np
Expand Down Expand Up @@ -353,15 +351,13 @@ def setup(self, index):
"non_monotonic": CategoricalIndex(list("abc" * N)),
}
self.data = indices[index]
self.data_unique = CategoricalIndex(
["".join(perm) for perm in itertools.permutations(string.printable, 3)]
)
self.data_unique = CategoricalIndex([str(i) for i in range(N * 3)])

self.int_scalar = 10000
self.int_list = list(range(10000))

self.cat_scalar = "b"
self.cat_list = ["a", "c"]
self.cat_list = ["1", "3"]

def time_getitem_scalar(self, index):
self.data[self.int_scalar]
Expand Down