SuccessConsole Output

[EnvInject] - Mask passwords passed as build parameters.
GitHub pull request #436 of commit 40cbced042e7739351297d8e723fea2f8c4e6943 automatically merged.
[EnvInject] - Loading node environment variables.
Building remotely on research-jenkins-worker-07 (research-07 ubuntu) in workspace /home/jenkins/workspace/Modin-Performance-PRB
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Done
Cloning the remote Git repository
Cloning repository https://github.com/modin-project/modin
 > git init /home/jenkins/workspace/Modin-Performance-PRB # timeout=10
Fetching upstream changes from https://github.com/modin-project/modin
 > git --version # timeout=10
 > git fetch --tags --progress https://github.com/modin-project/modin +refs/heads/*:refs/remotes/origin/*
 > git config remote.origin.url https://github.com/modin-project/modin # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/modin-project/modin # timeout=10
Fetching upstream changes from https://github.com/modin-project/modin
 > git fetch --tags --progress https://github.com/modin-project/modin +refs/pull/*:refs/remotes/origin/pr/*
 > git rev-parse origin/pr/436/merge^{commit} # timeout=10
 > git branch -a -v --no-abbrev --contains ddf479edf53ceaca8110fdedbd5932a07277378f # timeout=10
Checking out Revision ddf479edf53ceaca8110fdedbd5932a07277378f (origin/pr/436/merge)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f ddf479edf53ceaca8110fdedbd5932a07277378f
First time build. Skipping changelog.
[Modin-Performance-PRB] $ /bin/sh -xe /tmp/hudson1044704937392260298.sh
+ export BUCKET_SUFFIX=PR
+ bash .jenkins/performance-tests/run_perf_ci.sh
++ git rev-parse --verify --short HEAD
+ sha_tag=ddf479e
+ docker build -t modin-project/perf-test:ddf479e -f .jenkins/performance-tests/Dockerfile .
Sending build context to Docker daemon  8.899MB

Step 1/7 : FROM python:3.6.6-stretch
3.6.6-stretch: Pulling from library/python
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e5c3f8c317dc: Verifying Checksum
e5c3f8c317dc: Download complete
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bc9ab73e5b14: Pull complete
72744d0a318b: Verifying Checksum
72744d0a318b: Download complete
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1bc4b4b50870: Pull complete
Digest: sha256:5b2e0d981c74fa8b53db311e0c5b7672c8c3958053496f42ef29697cec3af277
Status: Downloaded newer image for python:3.6.6-stretch
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Step 2/7 : COPY requirements.txt requirements.txt
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Step 3/7 : RUN pip install -r requirements.txt
 ---> Running in a8f58a78bb88
Collecting pandas==0.23.4 (from -r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/e1/d8/feeb346d41f181e83fba45224ab14a8d8af019b48af742e047f3845d8cff/pandas-0.23.4-cp36-cp36m-manylinux1_x86_64.whl (8.9MB)
Collecting numpy<=1.15.0 (from -r requirements.txt (line 2))
  Downloading https://files.pythonhosted.org/packages/88/29/f4c845648ed23264e986cdc5fbab5f8eace1be5e62144ef69ccc7189461d/numpy-1.15.0-cp36-cp36m-manylinux1_x86_64.whl (13.9MB)
Collecting dask[complete]==1.0.0 (from -r requirements.txt (line 3))
  Downloading https://files.pythonhosted.org/packages/b4/e5/6407c2349622699eab0881e6bc6e978b8da67872a105e5e20b72ff190c65/dask-1.0.0-py2.py3-none-any.whl (685kB)
Collecting distributed==1.25.0 (from -r requirements.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/87/43/ced3b7b8128d7b1f3779118d0565baf95d46821e7e6b0da9f4711c354fe5/distributed-1.25.0-py2.py3-none-any.whl (496kB)
Collecting ray==0.6.2 (from -r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/4a/57/05e2ccf236e0b05b5d2831e79486e84b4eeadce68e8927ee338c61511568/ray-0.6.2-cp36-cp36m-manylinux1_x86_64.whl (73.0MB)
Collecting psutil==5.4.8 (from -r requirements.txt (line 6))
  Downloading https://files.pythonhosted.org/packages/e3/58/0eae6e4466e5abf779d7e2b71fac7fba5f59e00ea36ddb3ed690419ccb0f/psutil-5.4.8.tar.gz (422kB)
Collecting strip_hints==0.1.1 (from -r requirements.txt (line 7))
  Downloading https://files.pythonhosted.org/packages/2d/cd/c3775cd4171d24137b8c2faa34accea0e81734997f2ab47b43122716bf52/strip-hints-0.1.1.tar.gz
Collecting typing (from -r requirements.txt (line 8))
  Downloading https://files.pythonhosted.org/packages/4a/bd/eee1157fc2d8514970b345d69cb9975dcd1e42cd7e61146ed841f6e68309/typing-3.6.6-py3-none-any.whl
Collecting sqlalchemy>=1.2.17 (from -r requirements.txt (line 9))
  Downloading https://files.pythonhosted.org/packages/c6/52/73d1c92944cd294a5b165097038418abb6a235f5956d43d06f97254f73bf/SQLAlchemy-1.2.17.tar.gz (5.7MB)
Collecting pytz>=2011k (from pandas==0.23.4->-r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/61/28/1d3920e4d1d50b19bc5d24398a7cd85cc7b9a75a490570d5a30c57622d34/pytz-2018.9-py2.py3-none-any.whl (510kB)
Collecting python-dateutil>=2.5.0 (from pandas==0.23.4->-r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/74/68/d87d9b36af36f44254a8d512cbfc48369103a3b9e474be9bdfe536abfc45/python_dateutil-2.7.5-py2.py3-none-any.whl (225kB)
Collecting cloudpickle>=0.2.1; extra == "complete" (from dask[complete]==1.0.0->-r requirements.txt (line 3))
  Downloading https://files.pythonhosted.org/packages/34/80/66d06012248d7a8d3caf8c52937d435371336fb1161eb919ff6a57dccc70/cloudpickle-0.7.0-py2.py3-none-any.whl
Collecting partd>=0.3.8; extra == "complete" (from dask[complete]==1.0.0->-r requirements.txt (line 3))
  Downloading https://files.pythonhosted.org/packages/e2/bc/4dfd1e62e04a26d7ee56ade63af15e3249aeb3ed05d70ac590da2ca7c44d/partd-0.3.9-py2.py3-none-any.whl
Collecting toolz>=0.7.3; extra == "complete" (from dask[complete]==1.0.0->-r requirements.txt (line 3))
  Downloading https://files.pythonhosted.org/packages/14/d0/a73c15bbeda3d2e7b381a36afb0d9cd770a9f4adc5d1532691013ba881db/toolz-0.9.0.tar.gz (45kB)
Collecting tblib (from distributed==1.25.0->-r requirements.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/4a/82/1b9fba6e93629a8557f9784cd8f1ae063c8762c26446367a6764edd328ce/tblib-1.3.2-py2.py3-none-any.whl
Collecting tornado>=4.5.1 (from distributed==1.25.0->-r requirements.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/e6/78/6e7b5af12c12bdf38ca9bfe863fcaf53dc10430a312d0324e76c1e5ca426/tornado-5.1.1.tar.gz (516kB)
Collecting six (from distributed==1.25.0->-r requirements.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/73/fb/00a976f728d0d1fecfe898238ce23f502a721c0ac0ecfedb80e0d88c64e9/six-1.12.0-py2.py3-none-any.whl
Collecting click>=6.6 (from distributed==1.25.0->-r requirements.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/fa/37/45185cb5abbc30d7257104c434fe0b07e5a195a6847506c074527aa599ec/Click-7.0-py2.py3-none-any.whl (81kB)
Collecting pyyaml (from distributed==1.25.0->-r requirements.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/9e/a3/1d13970c3f36777c583f136c136f804d70f500168edc1edea6daa7200769/PyYAML-3.13.tar.gz (270kB)
Collecting sortedcontainers!=2.0.0,!=2.0.1 (from distributed==1.25.0->-r requirements.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/13/f3/cf85f7c3a2dbd1a515d51e1f1676d971abe41bba6f4ab5443240d9a78e5b/sortedcontainers-2.1.0-py2.py3-none-any.whl
Collecting zict>=0.1.3 (from distributed==1.25.0->-r requirements.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/5d/c9/eddd6c9a7ebd65fc799f9b87e56b45599a4e35d66e3da2722d7fc2a89f1f/zict-0.1.3-py2.py3-none-any.whl
Collecting msgpack (from distributed==1.25.0->-r requirements.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/92/7e/ae9e91c1bb8d846efafd1f353476e3fd7309778b582d2fb4cea4cc15b9a2/msgpack-0.6.1-cp36-cp36m-manylinux1_x86_64.whl (248kB)
Collecting pytest (from ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/9e/bf/2974be45c498a0ebc2708bfada25d5d1874ab3315a4e76ce7d38e29724fa/pytest-4.1.1-py2.py3-none-any.whl (216kB)
Collecting funcsigs (from ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/69/cb/f5be453359271714c01b9bd06126eaf2e368f1fddfff30818754b5ac2328/funcsigs-1.0.2-py2.py3-none-any.whl
Collecting colorama (from ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/4f/a6/728666f39bfff1719fc94c481890b2106837da9318031f71a8424b662e12/colorama-0.4.1-py2.py3-none-any.whl
Collecting flatbuffers (from ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/21/9a/b0f3302f994b58bc26ebcc39218c14e33d8fa1bd96b7ba709597aff7507c/flatbuffers-1.10-py2.py3-none-any.whl
Collecting redis (from ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/f1/19/a0282b77c23f9f9dbcc6480787a60807c78a45947593a02dbf026636c90d/redis-3.1.0-py2.py3-none-any.whl (63kB)
Collecting filelock (from ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/d7/ca/3c74396a9ed8a4cfab5459800edeef9a1269591cb21f5a49bd71a49c5fa2/filelock-3.0.10-py3-none-any.whl
Requirement already satisfied: wheel in /usr/local/lib/python3.6/site-packages (from strip_hints==0.1.1->-r requirements.txt (line 7)) (0.32.1)
Collecting locket (from partd>=0.3.8; extra == "complete"->dask[complete]==1.0.0->-r requirements.txt (line 3))
  Downloading https://files.pythonhosted.org/packages/d0/22/3c0f97614e0be8386542facb3a7dcfc2584f7b83608c02333bced641281c/locket-0.2.0.tar.gz
Collecting heapdict (from zict>=0.1.3->distributed==1.25.0->-r requirements.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/e2/ca/f5feba2f939c97629dbce52a17acc95a0d10256ef620334795379dda8ce6/HeapDict-1.0.0.tar.gz
Collecting py>=1.5.0 (from pytest->ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/3e/c7/3da685ef117d42ac8d71af525208759742dd235f8094221fdaafcd3dba8f/py-1.7.0-py2.py3-none-any.whl (83kB)
Collecting atomicwrites>=1.0 (from pytest->ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/3a/9a/9d878f8d885706e2530402de6417141129a943802c084238914fa6798d97/atomicwrites-1.2.1-py2.py3-none-any.whl
Collecting attrs>=17.4.0 (from pytest->ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/3a/e1/5f9023cc983f1a628a8c2fd051ad19e76ff7b142a0faf329336f9a62a514/attrs-18.2.0-py2.py3-none-any.whl
Requirement already satisfied: setuptools in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->-r requirements.txt (line 5)) (40.4.3)
Collecting pluggy>=0.7 (from pytest->ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/2d/60/f58d9e8197f911f9405bf7e02227b43a2acc2c2f1a8cbb1be5ecf6bfd0b8/pluggy-0.8.1-py2.py3-none-any.whl
Collecting more-itertools>=4.0.0 (from pytest->ray==0.6.2->-r requirements.txt (line 5))
  Downloading https://files.pythonhosted.org/packages/a4/a6/42f17d065bda1fac255db13afc94c93dbfb64393eae37c749b4cb0752fc7/more_itertools-5.0.0-py3-none-any.whl (52kB)
Building wheels for collected packages: psutil, strip-hints, sqlalchemy, toolz, tornado, pyyaml, locket, heapdict
  Running setup.py bdist_wheel for psutil: started
  Running setup.py bdist_wheel for psutil: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/d2/71/40/9c6993129f8cda369d0f21c46a13a6adab7fb1664fe6512551
  Running setup.py bdist_wheel for strip-hints: started
  Running setup.py bdist_wheel for strip-hints: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/f6/0c/4a/9d60d30768e178ac53e0e547ee8bc22d42e3368f2f30fbbdd3
  Running setup.py bdist_wheel for sqlalchemy: started
  Running setup.py bdist_wheel for sqlalchemy: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/b3/94/e4/e556159f8d26575bfa3cf64cff277b9112f1ad8a50cc438bbb
  Running setup.py bdist_wheel for toolz: started
  Running setup.py bdist_wheel for toolz: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/f4/0c/f6/ce6b2d1aa459ee97cc3c0f82236302bd62d89c86c700219463
  Running setup.py bdist_wheel for tornado: started
  Running setup.py bdist_wheel for tornado: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/6d/e1/ce/f4ee2fa420cc6b940123c64992b81047816d0a9fad6b879325
  Running setup.py bdist_wheel for pyyaml: started
  Running setup.py bdist_wheel for pyyaml: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/ad/da/0c/74eb680767247273e2cf2723482cb9c924fe70af57c334513f
  Running setup.py bdist_wheel for locket: started
  Running setup.py bdist_wheel for locket: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/26/1e/e8/4fa236ec931b1a0cdd61578e20d4934d7bf188858723b84698
  Running setup.py bdist_wheel for heapdict: started
  Running setup.py bdist_wheel for heapdict: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/40/b9/42/344857b482c954f48bcff6db72d388e30bf2bee4ed14706faa
Successfully built psutil strip-hints sqlalchemy toolz tornado pyyaml locket heapdict
Installing collected packages: pytz, six, python-dateutil, numpy, pandas, cloudpickle, locket, toolz, partd, psutil, tblib, tornado, click, pyyaml, sortedcontainers, heapdict, zict, msgpack, distributed, dask, py, atomicwrites, attrs, pluggy, more-itertools, pytest, funcsigs, colorama, flatbuffers, redis, filelock, ray, strip-hints, typing, sqlalchemy
Successfully installed atomicwrites-1.2.1 attrs-18.2.0 click-7.0 cloudpickle-0.7.0 colorama-0.4.1 dask-1.0.0 distributed-1.25.0 filelock-3.0.10 flatbuffers-1.10 funcsigs-1.0.2 heapdict-1.0.0 locket-0.2.0 more-itertools-5.0.0 msgpack-0.6.1 numpy-1.15.0 pandas-0.23.4 partd-0.3.9 pluggy-0.8.1 psutil-5.4.8 py-1.7.0 pytest-4.1.1 python-dateutil-2.7.5 pytz-2018.9 pyyaml-3.13 ray-0.6.2 redis-3.1.0 six-1.12.0 sortedcontainers-2.1.0 sqlalchemy-1.2.17 strip-hints-0.1.1 tblib-1.3.2 toolz-0.9.0 tornado-5.1.1 typing-3.6.6 zict-0.1.3
You are using pip version 18.1, however version 19.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Removing intermediate container a8f58a78bb88
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Step 4/7 : RUN pip install -q pytest==3.9.3 awscli pytest-benchmark feather-format lxml openpyxl xlrd numpy matplotlib
 ---> Running in 06c07460369f
You are using pip version 18.1, however version 19.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Removing intermediate container 06c07460369f
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Step 5/7 : COPY . .
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Step 6/7 : RUN pip install -e .
 ---> Running in bf8c8d087d99
Obtaining file:///
Requirement already satisfied: pandas==0.23.4 in /usr/local/lib/python3.6/site-packages (from modin==0.3.0) (0.23.4)
Requirement already satisfied: ray==0.6.2 in /usr/local/lib/python3.6/site-packages (from modin==0.3.0) (0.6.2)
Requirement already satisfied: numpy<=1.15.0 in /usr/local/lib/python3.6/site-packages (from modin==0.3.0) (1.15.0)
Requirement already satisfied: sqlalchemy>=1.2.17 in /usr/local/lib/python3.6/site-packages (from modin==0.3.0) (1.2.17)
Requirement already satisfied: pytz>=2011k in /usr/local/lib/python3.6/site-packages (from pandas==0.23.4->modin==0.3.0) (2018.9)
Requirement already satisfied: python-dateutil>=2.5.0 in /usr/local/lib/python3.6/site-packages (from pandas==0.23.4->modin==0.3.0) (2.7.5)
Requirement already satisfied: click in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (7.0)
Requirement already satisfied: six>=1.0.0 in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (1.12.0)
Requirement already satisfied: filelock in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (3.0.10)
Requirement already satisfied: funcsigs in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (1.0.2)
Requirement already satisfied: colorama in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (0.3.9)
Requirement already satisfied: flatbuffers in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (1.10)
Requirement already satisfied: pyyaml in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (3.13)
Requirement already satisfied: pytest in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (3.9.3)
Requirement already satisfied: redis in /usr/local/lib/python3.6/site-packages (from ray==0.6.2->modin==0.3.0) (3.1.0)
Requirement already satisfied: atomicwrites>=1.0 in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (1.2.1)
Requirement already satisfied: more-itertools>=4.0.0 in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (5.0.0)
Requirement already satisfied: py>=1.5.0 in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (1.7.0)
Requirement already satisfied: setuptools in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (40.4.3)
Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (18.2.0)
Requirement already satisfied: pluggy>=0.7 in /usr/local/lib/python3.6/site-packages (from pytest->ray==0.6.2->modin==0.3.0) (0.8.1)
Installing collected packages: modin
  Running setup.py develop for modin
Successfully installed modin
You are using pip version 18.1, however version 19.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Removing intermediate container bf8c8d087d99
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Step 7/7 : ENTRYPOINT ["bash", ".jenkins/performance-tests/run_perf_test.sh"]
 ---> Running in 5fa84bd0c3d7
Removing intermediate container 5fa84bd0c3d7
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Successfully built 3a430a136e23
Successfully tagged modin-project/perf-test:ddf479e
+ docker run --rm --shm-size=1g -e AWS_ACCESS_KEY_ID=**** -e AWS_SECRET_ACCESS_KEY=**** -e BUCKET_SUFFIX=PR modin-project/perf-test:ddf479e
+ source activate py3
.jenkins/performance-tests/run_perf_test.sh: line 3: activate: No such file or directory
+ python -c 'import ray; ray.init()'
/usr/local/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  return f(*args, **kwds)
/usr/local/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  return f(*args, **kwds)
WARNING: Not updating worker name since `setproctitle` is not installed. Install this with `pip install setproctitle` (or ray[debug]) to enable monitoring of worker processes.
Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-01-30_15-46-18_8/logs.
Waiting for redis server at 127.0.0.1:36512 to respond...
Waiting for redis server at 127.0.0.1:21379 to respond...
Starting Redis shard with 10.0 GB max memory.
Warning: Capping object memory store to 20.0GB. To increase this further, specify `object_store_memory` when calling ray.init() or ray start.
WARNING: The object store is using /tmp instead of /dev/shm because /dev/shm has only 1073741824 bytes available. This may slow down performance! You may be able to free up space by deleting files in /dev/shm or terminating any running plasma_store_server processes. If you are inside a Docker container, you may need to pass an argument with the flag '--shm-size' to 'docker run'.
Starting the Plasma object store with 20.0 GB memory using /tmp.
Failed to start the UI, you may need to run 'pip install jupyter'.
+ MODIN_ENGINE=dask
+ pytest --benchmark-autosave --disable-pytest-warnings modin/pandas/test/performance-tests/test_performance.py
============================= test session starts ==============================
platform linux -- Python 3.6.6, pytest-3.9.3, py-1.7.0, pluggy-0.8.1
benchmark: 3.2.2 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /, inifile:
plugins: benchmark-3.2.2
collected 6 items

modin/pandas/test/performance-tests/test_performance.py ...FF.           [100%]
Saved benchmark data in: //.benchmarks/Linux-CPython-3.6-64bit/0001_ddf479edf53ceaca8110fdedbd5932a07277378f_20190130_154619.json


=================================== FAILURES ===================================
_________________________________ test_add_df __________________________________

benchmark = <pytest_benchmark.fixture.BenchmarkFixture object at 0x7fc3e03e3e48>

    def test_add_df(benchmark):
>       result = benchmark(pd.DataFrame.add, ray_df, ray_df)

modin/pandas/test/performance-tests/test_performance.py:48: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:126: in __call__
    return self._raw(function_to_benchmark, *args, **kwargs)
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:148: in _raw
    duration, iterations, loops_range = self._calibrate_timer(runner)
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:276: in _calibrate_timer
    duration = runner(loops_range)
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:91: in runner
    function_to_benchmark(*args, **kwargs)
modin/pandas/dataframe.py:565: in add
    other=other, axis=axis, level=level, fill_value=fill_value
modin/data_management/query_compiler/pandas_query_compiler.py:501: in add
    return self._inter_df_op_handler(func, other, **kwargs)
modin/data_management/query_compiler/pandas_query_compiler.py:484: in _inter_df_op_handler
    other, "outer", lambda x, y: func(x, y, **kwargs)
modin/data_management/query_compiler/pandas_query_compiler.py:440: in inter_manager_operations
    0, other, how_to_join, False
modin/data_management/query_compiler/pandas_query_compiler.py:419: in copartition
    axis, other[i].data, reindex_left, reindex_right
modin/engines/base/block_partitions.py:301: in copartition_datasets
    new_self.block_lengths if axis == 0 else new_self.block_widths,
modin/engines/base/block_partitions.py:1063: in manual_shuffle
    result = np.array([part.shuffle(func, lengths) for part in partitions])
modin/engines/base/block_partitions.py:1063: in <listcomp>
    result = np.array([part.shuffle(func, lengths) for part in partitions])
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <modin.engines.dask.pandas_on_dask_delayed.axis_partition.DaskColumnPartition object at 0x7fc3e045b748>
func = <function PandasQueryCompiler.copartition.<locals>.compute_reindex.<locals>.reindex_partition at 0x7fc3e0654ae8>
lengths = array([4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
kwargs = {}

    def shuffle(self, func, lengths, **kwargs):
        """Shuffle the order of the data in this axis based on the `func`.
    
        Args:
            func:
            num_splits:
            kwargs:
    
        Returns:
             A list of `BaseRemotePartition` objects.
        """
>       raise NotImplementedError("Must be implemented in children classes")
E       NotImplementedError: Must be implemented in children classes

modin/engines/base/axis_partition.py:54: NotImplementedError
________________________________ test_describe _________________________________

benchmark = <pytest_benchmark.fixture.BenchmarkFixture object at 0x7fc3840606d8>

    def test_describe(benchmark):
>       result = benchmark(pd.DataFrame.describe, ray_df)

modin/pandas/test/performance-tests/test_performance.py:53: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:126: in __call__
    return self._raw(function_to_benchmark, *args, **kwargs)
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:148: in _raw
    duration, iterations, loops_range = self._calibrate_timer(runner)
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:276: in _calibrate_timer
    duration = runner(loops_range)
usr/local/lib/python3.6/site-packages/pytest_benchmark/fixture.py:91: in runner
    function_to_benchmark(*args, **kwargs)
modin/pandas/dataframe.py:1107: in describe
    percentiles=percentiles, include=include, exclude=exclude
modin/data_management/query_compiler/pandas_query_compiler.py:1624: in describe
    func, 0, new_columns, False
modin/data_management/query_compiler/pandas_query_compiler.py:1563: in full_axis_reduce_along_select_indices
    axis, func, numeric_indices
modin/engines/base/block_partitions.py:916: in apply_func_to_select_indices_along_full_axis
    for i in partitions_dict
modin/engines/base/block_partitions.py:916: in <listcomp>
    for i in partitions_dict
modin/engines/dask/pandas_on_dask_delayed/axis_partition.py:62: in apply
    DaskRemotePartition(dask.delayed(obj)) for obj in deploy_axis_func(*args)
modin/engines/dask/pandas_on_dask_delayed/axis_partition.py:117: in deploy_axis_func
    for df in split_result_of_axis_func_pandas(axis, num_splits, result, lengths)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

.0 = <list_iterator object at 0x7fc3e08926a0>

        df.copy()
>       for df in split_result_of_axis_func_pandas(axis, num_splits, result, lengths)
    ]
E   AttributeError: 'int' object has no attribute 'copy'

modin/engines/dask/pandas_on_dask_delayed/axis_partition.py:117: AttributeError


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---------------------------------------------------------------------------------------------------- benchmark: 4 tests ----------------------------------------------------------------------------------------------------
Name (time in us)              Min                       Max                    Mean                  StdDev                  Median                       IQR            Outliers         OPS            Rounds  Iterations
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_isna                 309.1060 (1.0)          1,010.3532 (1.0)          353.8537 (1.0)           58.0649 (1.0)          330.2835 (1.0)             32.5835 (1.0)       184;199  2,826.0268 (1.0)        1556           1
test_add                1,049.8909 (3.40)         2,069.6302 (2.05)       1,184.4787 (3.35)         108.6994 (1.87)       1,150.0360 (3.48)           107.9382 (3.31)        65;17    844.2533 (0.30)        563           1
test_fillna            40,241.4610 (130.19)     475,276.2490 (470.41)   271,544.8961 (767.39)   177,240.7670 (>1000.0)  392,769.7325 (>1000.0)    347,251.1452 (>1000.0)       8;0      3.6826 (0.00)         18           1
test_sum              105,873.6520 (342.52)   1,273,824.5730 (>1000.0)  705,334.0812 (>1000.0)  572,064.1874 (>1000.0)  806,623.3769 (>1000.0)  1,122,941.4057 (>1000.0)       2;0      1.4178 (0.00)          5           1
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean
=============== 2 failed, 4 passed, 4 warnings in 20.86 seconds ================
+ MODIN_ENGINE=python
+ pytest --benchmark-autosave --disable-pytest-warnings modin/pandas/test/performance-tests/test_performance.py
============================= test session starts ==============================
platform linux -- Python 3.6.6, pytest-3.9.3, py-1.7.0, pluggy-0.8.1
benchmark: 3.2.2 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /, inifile:
plugins: benchmark-3.2.2
collected 6 items

modin/pandas/test/performance-tests/test_performance.py ......           [100%]
Saved benchmark data in: //.benchmarks/Linux-CPython-3.6-64bit/0002_ddf479edf53ceaca8110fdedbd5932a07277378f_20190130_154641.json




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-------------------------------------------------------------------------------------------- benchmark: 6 tests --------------------------------------------------------------------------------------------
Name (time in us)             Min                    Max                   Mean              StdDev                 Median                 IQR            Outliers         OPS            Rounds  Iterations
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_isna                452.4358 (1.0)         603.7769 (1.0)         475.0147 (1.0)       22.2890 (1.0)         469.1200 (1.0)       29.0708 (1.0)        301;52  2,105.1979 (1.0)        1897           1
test_fillna              867.9382 (1.92)      1,108.6352 (1.84)        906.3956 (1.91)      32.2776 (1.45)        901.3540 (1.92)      48.9487 (1.68)        142;5  1,103.2710 (0.52)        426           1
test_add               1,232.8899 (2.73)      1,414.9358 (2.34)      1,262.5580 (2.66)      30.2656 (1.36)      1,246.8570 (2.66)      40.0705 (1.38)         43;8    792.0428 (0.38)        311           1
test_sum               1,541.4741 (3.41)      3,360.3311 (5.57)      1,608.5346 (3.39)     136.4041 (6.12)      1,593.6960 (3.40)      55.7584 (1.92)         7;12    621.6839 (0.30)        195           1
test_add_df            4,816.5761 (10.65)     5,311.9119 (8.80)      4,900.5878 (10.32)     65.7622 (2.95)      4,882.1010 (10.41)     61.0741 (2.10)         25;9    204.0572 (0.10)        181           1
test_describe         15,993.6780 (35.35)    16,926.7911 (28.03)    16,378.1747 (34.48)    242.3960 (10.88)    16,351.0728 (34.85)    380.7553 (13.10)        19;0     61.0569 (0.03)         47           1
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean
===================== 6 passed, 2 warnings in 6.65 seconds =====================
+ pytest --benchmark-autosave --disable-pytest-warnings modin/pandas/test/performance-tests/test_performance.py
============================= test session starts ==============================
platform linux -- Python 3.6.6, pytest-3.9.3, py-1.7.0, pluggy-0.8.1
benchmark: 3.2.2 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
rootdir: /, inifile:
plugins: benchmark-3.2.2
collected 6 items

modin/pandas/test/performance-tests/test_performance.py ......           [100%]
Saved benchmark data in: //.benchmarks/Linux-CPython-3.6-64bit/0003_ddf479edf53ceaca8110fdedbd5932a07277378f_20190130_154649.json




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------------------------------------------------------------------------------------ benchmark: 6 tests -----------------------------------------------------------------------------------
Name (time in ms)          Min                 Max                Mean            StdDev              Median                IQR            Outliers       OPS            Rounds  Iterations
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_fillna             1.3900 (1.0)        4.3089 (1.0)        2.1300 (1.0)      0.5459 (4.54)       2.0615 (1.0)       1.0159 (12.80)       195;1  469.4748 (1.0)         460           1
test_isna               2.5187 (1.81)       9.3605 (2.17)       2.7124 (1.27)     0.5075 (4.22)       2.6585 (1.29)      0.0793 (1.0)          4;18  368.6797 (0.79)        345           1
test_add                4.7582 (3.42)       5.2626 (1.22)       4.9428 (2.32)     0.1202 (1.0)        4.9364 (2.39)      0.1578 (1.99)         23;3  202.3164 (0.43)         76           1
test_sum               14.3294 (10.31)     22.0310 (5.11)      17.1234 (8.04)     1.9752 (16.43)     16.3817 (7.95)      2.6752 (33.72)         5;0   58.3995 (0.12)         18           1
test_describe          25.2081 (18.13)     35.5910 (8.26)      28.2866 (13.28)    2.3605 (19.63)     28.0218 (13.59)     2.7518 (34.69)         6;1   35.3525 (0.08)         27           1
test_add_df           136.7785 (98.40)    157.4255 (36.53)    146.3540 (68.71)    8.7517 (72.78)    143.6796 (69.69)    16.9334 (213.44)        4;0    6.8327 (0.01)          8           1
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean
===================== 6 passed, 2 warnings in 9.00 seconds =====================
++ git rev-parse --verify --short HEAD
+ sha_tag=ddf479e
+ aws s3 cp .benchmarks/Linux-CPython-3.6-64bit/0001_ddf479edf53ceaca8110fdedbd5932a07277378f_20190130_154619.json .benchmarks/Linux-CPython-3.6-64bit/0002_ddf479edf53ceaca8110fdedbd5932a07277378f_20190130_154641.json .benchmarks/Linux-CPython-3.6-64bit/0003_ddf479edf53ceaca8110fdedbd5932a07277378f_20190130_154649.json s3://modin-jenkins-result/ddf479e-perf-PR/ --acl public-read

Unknown options: .benchmarks/Linux-CPython-3.6-64bit/0003_ddf479edf53ceaca8110fdedbd5932a07277378f_20190130_154649.json,s3://modin-jenkins-result/ddf479e-perf-PR/
+ rm -rf .benchmarks
Test PASSed.
Refer to this link for build results (access rights to CI server needed): 
https://amplab.cs.berkeley.edu/jenkins//job/Modin-Performance-PRB/327/
Test PASSed.
Finished: SUCCESS