From 869046cca7c731c92240e824e91b2770c93e9ce3 Mon Sep 17 00:00:00 2001
From: Pauli Virtanen <pav@iki.fi>
Date: Thu, 30 May 2019 17:25:09 +0300
Subject: [PATCH 1/4] PERF: fix asv import error

---
 asv_bench/benchmarks/groupby.py    | 7 ++++++-
 asv_bench/benchmarks/io/parsers.py | 8 ++++++--
 2 files changed, 12 insertions(+), 3 deletions(-)

diff --git a/asv_bench/benchmarks/groupby.py b/asv_bench/benchmarks/groupby.py
index 4dfce079dd09c..df5cd8a34e674 100644
--- a/asv_bench/benchmarks/groupby.py
+++ b/asv_bench/benchmarks/groupby.py
@@ -6,10 +6,15 @@
 import numpy as np
 
 from pandas import (
-    Categorical, DataFrame, MultiIndex, Series, TimeGrouper, Timestamp,
+    Categorical, DataFrame, MultiIndex, Series, Timestamp,
     date_range, period_range)
 import pandas.util.testing as tm
 
+try:
+    from pandas import TimeGrouper
+except ImportError:
+    pass
+
 
 method_blacklist = {
     'object': {'median', 'prod', 'sem', 'cumsum', 'sum', 'cummin', 'mean',
diff --git a/asv_bench/benchmarks/io/parsers.py b/asv_bench/benchmarks/io/parsers.py
index 493955d394443..edba0358c821a 100644
--- a/asv_bench/benchmarks/io/parsers.py
+++ b/asv_bench/benchmarks/io/parsers.py
@@ -1,7 +1,11 @@
 import numpy as np
 
-from pandas._libs.tslibs.parsing import (
-    _concat_date_cols, _does_string_look_like_datetime)
+try:
+    from pandas._libs.tslibs.parsing import (
+        _concat_date_cols, _does_string_look_like_datetime)
+except ImportError:
+    # Avoid whole benchmark suite import failure on asv (currently 0.4)
+    pass
 
 
 class DoesStringLookLikeDatetime(object):

From 3eac9854182f1ce7f015df4f13739b21251bcc47 Mon Sep 17 00:00:00 2001
From: Pauli Virtanen <pav@iki.fi>
Date: Thu, 30 May 2019 17:25:27 +0300
Subject: [PATCH 2/4] CI: run asv check on all builds

---
 azure-pipelines.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/azure-pipelines.yml b/azure-pipelines.yml
index eee38dadfab90..17eaee5458af8 100644
--- a/azure-pipelines.yml
+++ b/azure-pipelines.yml
@@ -97,10 +97,11 @@ jobs:
   - script: |
       export PATH=$HOME/miniconda3/bin:$PATH
       source activate pandas-dev
+      cd asv_bench
+      asv check -E existing
       git remote add upstream https://github.com/pandas-dev/pandas.git
       git fetch upstream
       if git diff upstream/master --name-only | grep -q "^asv_bench/"; then
-          cd asv_bench
           asv machine --yes
           ASV_OUTPUT="$(asv dev)"
           if [[ $(echo "$ASV_OUTPUT" | grep "failed") ]]; then

From 3e1065302d1b6296095438d46deed0511d7ba66e Mon Sep 17 00:00:00 2001
From: Pauli Virtanen <pav@iki.fi>
Date: Thu, 30 May 2019 17:50:07 +0300
Subject: [PATCH 3/4] PERF: since TimeGrouper was removed, remove benchmarks
 concerning it

---
 asv_bench/benchmarks/groupby.py | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/asv_bench/benchmarks/groupby.py b/asv_bench/benchmarks/groupby.py
index df5cd8a34e674..3097ada6d2022 100644
--- a/asv_bench/benchmarks/groupby.py
+++ b/asv_bench/benchmarks/groupby.py
@@ -1,7 +1,6 @@
 from functools import partial
 from itertools import product
 from string import ascii_letters
-import warnings
 
 import numpy as np
 
@@ -10,11 +9,6 @@
     date_range, period_range)
 import pandas.util.testing as tm
 
-try:
-    from pandas import TimeGrouper
-except ImportError:
-    pass
-
 
 method_blacklist = {
     'object': {'median', 'prod', 'sem', 'cumsum', 'sum', 'cummin', 'mean',
@@ -306,10 +300,6 @@ def setup(self):
     def time_multi_size(self):
         self.df.groupby(['key1', 'key2']).size()
 
-    def time_dt_timegrouper_size(self):
-        with warnings.catch_warnings(record=True):
-            self.df.groupby(TimeGrouper(key='dates', freq='M')).size()
-
     def time_category_size(self):
         self.draws.groupby(self.cats).size()
 

From 69a617ffe6d00b67766fb20ad595a81561f04855 Mon Sep 17 00:00:00 2001
From: Pauli Virtanen <pav@iki.fi>
Date: Thu, 30 May 2019 19:46:21 +0300
Subject: [PATCH 4/4] PERF: fix benchmark
 frame_methods.Iteration.mem_itertuples_to_list

The runtime of the benchmark increased in asv 0.4 (which has upgraded
asv.extern.asizeof), so bump the timeout upward.
---
 asv_bench/benchmarks/frame_methods.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/asv_bench/benchmarks/frame_methods.py b/asv_bench/benchmarks/frame_methods.py
index 0c1d861ce0839..5b76eeba115a4 100644
--- a/asv_bench/benchmarks/frame_methods.py
+++ b/asv_bench/benchmarks/frame_methods.py
@@ -96,6 +96,8 @@ def time_dict_rename_both_axes(self):
 
 
 class Iteration:
+    # mem_itertuples_* benchmarks are slow
+    timeout = 120
 
     def setup(self):
         N = 1000