From 7ac2ac12065343fd3cb04a603e55101df753f3b3 Mon Sep 17 00:00:00 2001
From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
Date: Wed, 23 Nov 2022 11:41:17 -0800
Subject: [PATCH] CI/BENCH: Make CategoricalIndexIndexing benchmark less flaky

---
 asv_bench/benchmarks/indexing.py | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)

diff --git a/asv_bench/benchmarks/indexing.py b/asv_bench/benchmarks/indexing.py
index 3efc39c7e1efe..1c9da3f1ed9df 100644
--- a/asv_bench/benchmarks/indexing.py
+++ b/asv_bench/benchmarks/indexing.py
@@ -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
@@ -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]