From dc5170825c330f1481adfcc60066916a4f00c101 Mon Sep 17 00:00:00 2001
From: Pauli Virtanen <pav@iki.fi>
Date: Fri, 31 May 2019 19:16:49 +0300
Subject: [PATCH] CLN: remove sample_time attributes from benchmarks

These appear to have been brought in by direct replacement of a
deprecated ASV attribute goal_time -> sample_time, but the two have
different semantics.  Increasing this from the default value is probably
not necessary and increases runtime, so it's better to restore it to
defaults.
---
 asv_bench/benchmarks/index_object.py | 1 -
 asv_bench/benchmarks/rolling.py      | 6 ------
 2 files changed, 7 deletions(-)

diff --git a/asv_bench/benchmarks/index_object.py b/asv_bench/benchmarks/index_object.py
index 0fdf46e7c64de..896a20bae2069 100644
--- a/asv_bench/benchmarks/index_object.py
+++ b/asv_bench/benchmarks/index_object.py
@@ -52,7 +52,6 @@ def time_is_dates_only(self):
 
 class Ops:
 
-    sample_time = 0.2
     params = ['float', 'int']
     param_names = ['dtype']
 
diff --git a/asv_bench/benchmarks/rolling.py b/asv_bench/benchmarks/rolling.py
index 2532d326dff4b..033b466c8b9be 100644
--- a/asv_bench/benchmarks/rolling.py
+++ b/asv_bench/benchmarks/rolling.py
@@ -4,7 +4,6 @@
 
 class Methods:
 
-    sample_time = 0.2
     params = (['DataFrame', 'Series'],
               [10, 1000],
               ['int', 'float'],
@@ -23,7 +22,6 @@ def time_rolling(self, constructor, window, dtype, method):
 
 class ExpandingMethods:
 
-    sample_time = 0.2
     params = (['DataFrame', 'Series'],
               ['int', 'float'],
               ['median', 'mean', 'max', 'min', 'std', 'count', 'skew', 'kurt',
@@ -41,7 +39,6 @@ def time_expanding(self, constructor, dtype, method):
 
 class EWMMethods:
 
-    sample_time = 0.2
     params = (['DataFrame', 'Series'],
               [10, 1000],
               ['int', 'float'],
@@ -58,7 +55,6 @@ def time_ewm(self, constructor, window, dtype, method):
 
 
 class VariableWindowMethods(Methods):
-    sample_time = 0.2
     params = (['DataFrame', 'Series'],
               ['50s', '1h', '1d'],
               ['int', 'float'],
@@ -75,7 +71,6 @@ def setup(self, constructor, window, dtype, method):
 
 class Pairwise:
 
-    sample_time = 0.2
     params = ([10, 1000, None],
               ['corr', 'cov'],
               [True, False])
@@ -95,7 +90,6 @@ def time_pairwise(self, window, method, pairwise):
 
 
 class Quantile:
-    sample_time = 0.2
     params = (['DataFrame', 'Series'],
               [10, 1000],
               ['int', 'float'],