SuccessConsole Output

Started by an SCM change
[EnvInject] - Loading node environment variables.
Building remotely on amp-jenkins-staging-worker-01 (ubuntu staging staging-01) in workspace /home/jenkins/workspace/e-mission-server
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Done
Cloning the remote Git repository
Cloning repository https://github.com/e-mission/e-mission-server
 > git init /home/jenkins/workspace/e-mission-server # timeout=10
Fetching upstream changes from https://github.com/e-mission/e-mission-server
 > git --version # timeout=10
 > git fetch --tags --progress https://github.com/e-mission/e-mission-server +refs/heads/*:refs/remotes/origin/*
 > git config remote.origin.url https://github.com/e-mission/e-mission-server # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/e-mission/e-mission-server # timeout=10
Fetching upstream changes from https://github.com/e-mission/e-mission-server
 > git fetch --tags --progress https://github.com/e-mission/e-mission-server +refs/heads/*:refs/remotes/origin/*
 > git rev-parse refs/remotes/origin/master^{commit} # timeout=10
 > git rev-parse refs/remotes/origin/origin/master^{commit} # timeout=10
Checking out Revision 9a86a39e56fb12965bea0e51ff8c6fb66413f4fd (refs/remotes/origin/master)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 9a86a39e56fb12965bea0e51ff8c6fb66413f4fd
 > git rev-list 3680f6e705875f8984c86642ce3d5fe2c9469894 # timeout=10
[e-mission-server] $ /bin/bash /tmp/hudson7431340253045381468.sh
Deploying environment in /tmp/tmp.HCL09pW3Cn
Make sure you are running this with conda >=4.2
Check with 'conda -V'
Upgrade with 'conda update conda' from the *root* environment
Using Anaconda API: https://api.anaconda.org
Fetching package metadata .............
Solving package specifications: .
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botocore-1.10.  85% |#########################Collecting arrow==0.12.0
Collecting attrdict==2.0.0
Requirement already satisfied: backports.shutil-get-terminal-size==1.0.0 in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages
Collecting cachetools==2.0.1
  Using cached https://files.pythonhosted.org/packages/ac/e8/5492fd5ada0b05a1bc485bcb634b559acdec59383eef5c4203b5e22be296/cachetools-2.0.1-py2.py3-none-any.whl
Collecting certifi==2017.11.5
  Using cached https://files.pythonhosted.org/packages/29/9b/25ef61e948321296f029f53c9f67cc2b54e224db509eb67ce17e0df6044a/certifi-2017.11.5-py2.py3-none-any.whl
Collecting cheroot==5.10.0
  Using cached https://files.pythonhosted.org/packages/07/c4/061cc1f6f2cea860f7f6858ad87e3311b8f1e4f0612e353523905060a74f/cheroot-5.10.0-py2.py3-none-any.whl
Collecting enum34==1.1.6
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Requirement already satisfied: et-xmlfile==1.0.1 in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages
Collecting future==0.16.0
Collecting geojson==2.3.0
  Using cached https://files.pythonhosted.org/packages/1c/59/5d8f40aa03591d68fa6bf99268810c66a0fbc82b9598e40822f3fd9149d2/geojson-2.3.0-py2.py3-none-any.whl
Collecting google-auth==1.2.1
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Requirement already satisfied: ipython-genutils==0.2.0 in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages
Collecting jaraco.classes==1.4.3
  Using cached https://files.pythonhosted.org/packages/e7/31/0e6a137a2e63bcc525ed795bfc2845bac734cb648d3d44ad53007c7ecfed/jaraco.classes-1.4.3-py2.py3-none-any.whl
Collecting jsonpickle==0.9.5
Requirement already satisfied: jupyter-client==5.0.1 in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages
Requirement already satisfied: jupyter-console==5.1.0 in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages
Requirement already satisfied: jupyter-core==4.3.0 in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages
Collecting jwcrypto==0.4.2
  Using cached https://files.pythonhosted.org/packages/08/58/39cd800f07535025a01a3b85839a11b51f42ef4ea7380dd513f9046b779c/jwcrypto-0.4.2-py2.py3-none-any.whl
Collecting portend==2.2
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Requirement already satisfied: prompt-toolkit==1.0.14 in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages
Collecting pyasn1==0.4.2
  Using cached https://files.pythonhosted.org/packages/ba/fe/02e3e2ee243966b143657fb8bd6bc97595841163b6d8c26820944acaec4d/pyasn1-0.4.2-py2.py3-none-any.whl
Collecting pyasn1-modules==0.2.1
  Using cached https://files.pythonhosted.org/packages/e9/51/bcd96bf6231d4b2cc5e023c511bee86637ba375c44a6f9d1b4b7ad1ce4b9/pyasn1_modules-0.2.1-py2.py3-none-any.whl
Collecting pyfcm==1.4.3
Collecting pygeocoder==1.2.5
Collecting pykml==0.1.3
Collecting pymongo==3.5.1
  Using cached https://files.pythonhosted.org/packages/10/b3/2a3dd782a8bc51d6a715ed1db8d1851271ab454a8da67c462f7ecab16356/pymongo-3.5.1-cp36-cp36m-manylinux1_x86_64.whl
Collecting python-crontab==2.2.7
Collecting requests-toolbelt==0.8.0
  Using cached https://files.pythonhosted.org/packages/97/8a/d710f792d6f6ecc089c5e55b66e66c3f2f35516a1ede5a8f54c13350ffb0/requests_toolbelt-0.8.0-py2.py3-none-any.whl
Requirement already satisfied: rope-py3k==0.9.4.post1 in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages
Collecting rsa==3.4.2
  Using cached https://files.pythonhosted.org/packages/e1/ae/baedc9cb175552e95f3395c43055a6a5e125ae4d48a1d7a924baca83e92e/rsa-3.4.2-py2.py3-none-any.whl
Requirement already satisfied: tables==3.3.0 in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages
Collecting tempora==1.9
  Using cached https://files.pythonhosted.org/packages/57/45/56a0cdcffb2e6ff7160254773ea313548f063dc1f35ee729b9fb669d39fb/tempora-1.9-py2.py3-none-any.whl
Collecting urllib3==1.22
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Collecting xmltodict==0.11.0
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Requirement already satisfied: python-dateutil in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages (from arrow==0.12.0)
Requirement already satisfied: six in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages (from attrdict==2.0.0)
Requirement already satisfied: pyzmq>=13 in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages (from jupyter-client==5.0.1)
Requirement already satisfied: traitlets in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages (from jupyter-client==5.0.1)
Requirement already satisfied: ipython in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages (from jupyter-console==5.1.0)
Requirement already satisfied: pygments in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages (from jupyter-console==5.1.0)
Requirement already satisfied: ipykernel in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages (from jupyter-console==5.1.0)
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Requirement already satisfied: pexpect; sys_platform != "win32" in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages (from ipython->jupyter-console==5.1.0)
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Requirement already satisfied: pycparser in /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages (from cffi>=1.4.1->cryptography>=1.5->jwcrypto==0.4.2)
Installing collected packages: arrow, attrdict, cachetools, certifi, cheroot, enum34, future, geojson, pyasn1, pyasn1-modules, rsa, google-auth, jaraco.classes, jsonpickle, jwcrypto, tempora, portend, requests-toolbelt, pyfcm, pygeocoder, pykml, pymongo, python-crontab, urllib3, utm, xmltodict
Successfully installed arrow-0.12.0 attrdict-2.0.0 cachetools-2.0.1 certifi-2017.11.5 cheroot-5.10.0 enum34-1.1.6 future-0.16.0 geojson-2.3.0 google-auth-1.2.1 jaraco.classes-1.4.3 jsonpickle-0.9.5 jwcrypto-0.4.2 portend-2.2 pyasn1-0.4.2 pyasn1-modules-0.2.1 pyfcm-1.4.3 pygeocoder-1.2.5 pykml-0.1.3 pymongo-3.5.1 python-crontab-2.2.7 requests-toolbelt-0.8.0 rsa-3.4.2 tempora-1.9 urllib3-1.22 utm-0.4.2 xmltodict-0.11.0
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Installing /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages/vega/static -> jupyter-vega
Making directory: /tmp/tmp.HCL09pW3Cn/share/jupyter/nbextensions/jupyter-vega/
Copying: /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages/vega/static/index.js -> /tmp/tmp.HCL09pW3Cn/share/jupyter/nbextensions/jupyter-vega/index.js
Copying: /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages/vega/static/vega.js -> /tmp/tmp.HCL09pW3Cn/share/jupyter/nbextensions/jupyter-vega/vega.js
Copying: /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages/vega/static/vega.html -> /tmp/tmp.HCL09pW3Cn/share/jupyter/nbextensions/jupyter-vega/vega.html
Copying: /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages/vega/static/index.js.map -> /tmp/tmp.HCL09pW3Cn/share/jupyter/nbextensions/jupyter-vega/index.js.map
Copying: /tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages/vega/static/vega-lite.html -> /tmp/tmp.HCL09pW3Cn/share/jupyter/nbextensions/jupyter-vega/vega-lite.html
- Validating: OK

    To initialize this nbextension in the browser every time the notebook (or other app) loads:
    
          jupyter nbextension enable vega --py --sys-prefix
    

#
# To activate this environment, use:
# > source activate /tmp/tmp.HCL09pW3Cn
#
# To deactivate an active environment, use:
# > source deactivate
#

Collecting six
  Using cached https://files.pythonhosted.org/packages/67/4b/141a581104b1f6397bfa78ac9d43d8ad29a7ca43ea90a2d863fe3056e86a/six-1.11.0-py2.py3-none-any.whl
Installing collected packages: six
  Found existing installation: six 1.10.0
    DEPRECATION: Uninstalling a distutils installed project (six) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.
    Uninstalling six-1.10.0:
      Successfully uninstalled six-1.10.0
Successfully installed six-1.11.0
You are using pip version 9.0.1, however version 10.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
/home/jenkins/workspace/e-mission-server/emission/core/get_database.py:268: DeprecationWarning: save is deprecated. Use insert_one or replace_one instead
  db.save(entry)
/tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages/pandas/core/frame.py:891: UserWarning: DataFrame columns are not unique, some columns will be omitted.
  "columns will be omitted.", UserWarning)
/tmp/tmp.HCL09pW3Cn/lib/python3.6/importlib/_bootstrap.py:205: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__
  return f(*args, **kwds)
/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py:153: ResourceWarning: unclosed file <_io.TextIOWrapper name='seed_model.json' mode='r' encoding='UTF-8'>
  self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
Minimum number of clusters 10 is greater than the number of data points 8.
Must have at least 2 clusters
.Must have at least 2 clusters
Must have at least 2 clusters
...Must have at least 2 clusters
..No clusters to analyze
.Minimum number of clusters 9 is greater than the number of data points 8.
Minimum number of clusters 10 is greater than the number of data points 8.
.Must have at least 2 clusters
.Must have at least 2 clusters
.Must have at least 2 clusters
.Must have at least 2 clusters
.Must have at least 2 clusters
.Must have at least 2 clusters
.WARNING:root:No user defined overrides for 127aa40c-05be-494c-9426-8d6794f47579, early return
WARNING:root:No user defined overrides for 127aa40c-05be-494c-9426-8d6794f47579, early return
WARNING:root:No user defined overrides for 127aa40c-05be-494c-9426-8d6794f47579, early return
.WARNING:root:No user defined overrides for a6e0333a-0448-47f1-b218-96891562960d, early return
WARNING:root:No user defined overrides for a6e0333a-0448-47f1-b218-96891562960d, early return
WARNING:root:No user defined overrides for a6e0333a-0448-47f1-b218-96891562960d, early return
.WARNING:root:No user defined overrides for e6eab850-f546-4edb-8387-571e0fef3d00, early return
WARNING:root:No user defined overrides for e6eab850-f546-4edb-8387-571e0fef3d00, early return
.WARNING:root:No user defined overrides for 98ed3fca-98f0-4b3f-b52b-98f39b36201b, early return
WARNING:root:No user defined overrides for 98ed3fca-98f0-4b3f-b52b-98f39b36201b, early return
........................................................................................................................................WARNING:root:Got error None while saving entry AttrDict({'_id': ObjectId('572d3621d282b8f30def7e85'), 'user_id': UUID('32310bf2-ef0f-47c6-b824-f91788a1a6b8'), 'data': {'transition': None, 'currState': 'STATE_ONGOING_TRIP'}, 'metadata': {'plugin': 'none', 'write_ts': 1530674566, 'time_zone': 'America/Los_Angeles', 'platform': 'ios', 'key': 'statemachine/transition', 'read_ts': 1530674564, 'type': 'message'}}) -> None
........................ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
.ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
.ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
.WARNING:root:Got error {'status': 'no_matching_token', 'apns_token': 'device_token_ios_1'} while mapping iOS token at index 5
WARNING:root:Got error {'status': 'no_matching_token', 'apns_token': 'device_token_ios_3'} while mapping iOS token at index 6
WARNING:root:Got error {'status': 'no_matching_token', 'apns_token': 'device_token_ios_5'} while mapping iOS token at index 7
WARNING:root:Got error {'status': 'no_matching_token', 'apns_token': 'device_token_ios_7'} while mapping iOS token at index 8
WARNING:root:Got error {'status': 'no_matching_token', 'apns_token': 'device_token_ios_9'} while mapping iOS token at index 9
WARNING:root:Got error {'status': 'no_matching_token', 'apns_token': 'device_token_ios_3'} while mapping iOS token at index 3
WARNING:root:Got error {'status': 'no_matching_token', 'apns_token': 'device_token_ios_7'} while mapping iOS token at index 4
....ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
.ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
.storage not configured, falling back to sample, default configuration
Connecting to database URL localhost
analysis.debug.conf.json not configured, falling back to sample, default configuration
google maps key not configured, falling back to nominatim
nominatim not configured either, place decoding must happen on the client
Setting up real example for 64cb15d8-283e-4df5-b456-dece5d949ade
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Setting up real example for 6b9a0d22-a1b3-4981-a4f5-5cac3b1371de
Setting up real example for 63bd2ff0-9e7b-4856-a4cd-d0fc3c74ae20
Setting up real example for 9a3a2abb-7a8a-4b2a-9be7-e9dbf0a4dfe2
Setting up real example for b51406a0-7684-42a6-9df9-794f5f15fe27
Setting up real example for 3daa2989-4d02-4783-95f6-42b6f0b3824e
Setting up real example for 4dc762a7-bf7a-4416-8605-29cc30c885cc
[ 0.1  0.1]
Setting up real example for 977fc49c-946c-4710-ab4b-903f684dcd4a
Setting up real example for c3665746-2328-4011-9f5a-83fbc851d7d1
Setting up real example for 86cb011d-7e6d-405c-a416-9ada06bcd336
Setting up real example for 768036f7-729b-419e-b055-40b70885e57d
Setting up real example for 9c4898a3-1bcb-449e-b360-c34936680fe0
Setting up real example for a89a0b84-cbb4-48b9-be6a-45ada677e448
Setting up real example for e5441601-e40d-4a60-a5b0-3e2af020103e
Setting up real example for e9261ee0-af0f-4360-ad4b-5d4eb8a09fd0
Setting up real example for fecfc1dc-2de4-429a-8dd8-8dca14ae60d3
collections = ['Stage_user_habitica_access', 'Stage_uuids', 'Stage_Modes', 'Stage_analysis_timeseries', 'Stage_Sections', 'Test_Trips', 'Stage_Profiles', 'Stage_pipeline_state', 'Stage_push_token_mapping', 'Stage_timeseries', 'Stage_usercache']
Dropping collection Stage_user_habitica_access
Dropping collection Stage_uuids
Dropping collection Stage_Modes
Dropping collection Stage_analysis_timeseries
Dropping collection Stage_Sections
Dropping collection Test_Trips
Dropping collection Stage_Profiles
Dropping collection Stage_pipeline_state
Dropping collection Stage_push_token_mapping
Dropping collection Stage_timeseries
Dropping collection Stage_usercache
{'result_url': 'https://e-mission.eecs.berkeley.edu/test/test/test'}
collections = ['Stage_Modes', 'Stage_clients']
Dropping collection Stage_Modes
Dropping collection Stage_clients
collections = ['Stage_Modes']
Dropping collection Stage_Modes
collections = ['Stage_Modes', 'Stage_clients']
Dropping collection Stage_Modes
Dropping collection Stage_clients
collections = ['Stage_uuids', 'Stage_Profiles']
Dropping collection Stage_uuids
Dropping collection Stage_Profiles
Returning total = 126, len = 3, avg = 42
collections = ['Stage_uuids', 'Stage_Profiles']
Dropping collection Stage_uuids
Dropping collection Stage_Profiles
Returning total = 126, len = 3, avg = 42
collections = ['Stage_uuids', 'Stage_Profiles']
Dropping collection Stage_uuids
Dropping collection Stage_Profiles
collections = ['Stage_uuids', 'Stage_Profiles']
Dropping collection Stage_uuids
Dropping collection Stage_Profiles
collections = []
collections = []
collections = ['Stage_uuids', 'Stage_Profiles']
Dropping collection Stage_uuids
Dropping collection Stage_Profiles
collections = ['Stage_uuids', 'Stage_Profiles']
Dropping collection Stage_uuids
Dropping collection Stage_Profiles
collections = ['Stage_uuids', 'Stage_Profiles']
Dropping collection Stage_uuids
Dropping collection Stage_Profiles
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = []
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = []
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = []
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = []
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = []
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = []
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = []
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = []
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = []
collections = ['Stage_pipeline_state', 'Stage_timeseries', 'Stage_usercache']
Dropping collection Stage_pipeline_state
Dropping collection Stage_timeseries
Dropping collection Stage_usercache
collections = ['Stage_pipeline_state', 'Stage_timeseries', 'Stage_usercache']
Dropping collection Stage_pipeline_state
Dropping collection Stage_timeseries
Dropping collection Stage_usercache
collections = ['Stage_timeseries_error', 'Stage_pipeline_state', 'Stage_timeseries', 'Stage_usercache']
Dropping collection Stage_timeseries_error
Dropping collection Stage_pipeline_state
Dropping collection Stage_timeseries
Dropping collection Stage_usercache
collections = ['Stage_pipeline_state', 'Stage_timeseries', 'Stage_usercache']
Dropping collection Stage_pipeline_state
Dropping collection Stage_timeseries
Dropping collection Stage_usercache
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = ['Stage_usercache']
Dropping collection Stage_usercache
collections = ['Stage_usercache']
Dropping collection Stage_usercache
Test setup called
Test setup called
Test setup called
Test setup called
Setting up real example for cbb769da-7602-4416-856f-31fef3ecc4bd
Setting up real example for 52abf1c3-45f7-4ef4-a31b-71bd47b1dcf4
Setting up real example for 3ff0f156-512b-4857-bf40-42ec62fc6cd8
Setting up real example for e9d8f04c-6fa5-400d-ace5-33f06411de3e
Setting up real example for 2eaef8a6-ba18-4ccf-8d18-661fa4c262c9
Setting up real example for 27ad9e13-251c-48cf-bdab-65602c081a63
Setting up real example for 3d085c21-71be-4d4a-a85b-4c35681e0bc8
Setting up real example for b0877f7e-bf9b-48b5-9eb6-729a24ad284b
Setting up real example for b5d23af0-8c82-4ca5-86c8-74da136064d5
ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
.ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
......................................ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
Must have at least 2 clusters
........ERROR:root:Error while inferring modes, timestamp is unchanged
Traceback (most recent call last):
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 41, in predict_mode
    mip.runPredictionPipeline(user_id, time_query)
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 136, in runPredictionPipeline
    self.loadModelStage()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py", line 153, in loadModelStage
    self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
  File "/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/seed/pipeline.py", line 93, in loadModel
    fd = open(SAVED_MODEL_FILENAME, "r")
FileNotFoundError: [Errno 2] No such file or directory: 'seed_model.json'
.....
----------------------------------------------------------------------
Ran 238 tests in 876.466s

OK
[[-122.0846749, 37.393415], [-122.08367716219298, 37.3948067779213], [-122.08310408579901, 37.3956920043855], [-122.08303055467863, 37.39583125008914], [-122.08297393900254, 37.39593205132939], [-122.08287328402464, 37.39603598782679], [-122.08217139950614, 37.39586915745068], [-122.08121687635078, 37.39662502176472], [-122.08083540229008, 37.397986347667576], [-122.0807141489917, 37.39929928253347], [-122.0805674333962, 37.39999204611759], [-122.08069534712718, 37.39996179457042], [-122.08142813111742, 37.39994239741808], [-122.08307863820072, 37.400177859918735], [-122.08468667951159, 37.40064209653733], [-122.08484181367525, 37.401718181087354], [-122.08479822727575, 37.40260859261417], [-122.08471328637039, 37.403095985737], [-122.0847081, 37.4033491], [-122.0835641, 37.4034802], [-122.08324947759913, 37.403249485086526], [-122.08293485519823, 37.403018770173055], [-122.08262023279735, 37.402788055259585], [-122.08230561039646, 37.402557340346114], [-122.08146304068424, 37.40240305189178], [-122.0798705375145, 37.40192739503022], [-122.0791330715329, 37.401570416313966], [-122.07900239094822, 37.40154684580483], [-122.07839491401299, 37.40110036136816], [-122.07793701515128, 37.39922447059321], [-122.07727089547438, 37.39817899676297], [-122.0763436450106, 37.39786335105958], [-122.07721299122628, 37.39661146003307], [-122.0778060271274, 37.39579266489395], [-122.0778487389895, 37.39573904255864], [-122.07784370441615, 37.39575069197053], [-122.07781181592573, 37.395726926020124], [-122.0778188, 37.3957356], [-122.078664, 37.4015876], [-122.0796973, 37.4021489], [-122.0804791, 37.3959724], [-122.08297204509547, 37.3959456445923], [-122.08297270839385, 37.39598051606153], [-122.0836783940137, 37.39483405888615], [-122.08441549613816, 37.39375391129058], [-122.08488551380876, 37.393052509223544], [-122.08547548499102, 37.3920663815419], [-122.08607344217683, 37.39113822877281], [-122.08622899782469, 37.39095885504853], [-122.08622857893772, 37.39099206421023], [-122.08626055360769, 37.39097112682174], [-122.0862609, 37.3909709]]
Setting up real example for cbb26d05-29af-4263-b171-c643a7730023
Setting up real example for 77c6c097-7bcc-4cd1-b18e-5fdb84c70db7
Setting up real example for 8e1a5ef7-a2a7-4116-bb4a-106bce8e51fd
Setting up real example for 8ed27dae-88e6-4bc9-9d7c-8cfdc61921ff
Setting up real example for e5e86668-ee24-4cad-a7d3-5dc457192c8a
Setting up real example for b3e4370c-891b-4d1f-8e79-96d589d85cbe
Setting up real example for e4bad813-34b4-4483-982a-815a00864573
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751111'), 'track_location': {'type': 'Point', 'coordinates': [-122.5, 37.5]}}
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751114'), 'track_location': {'type': 'Point', 'coordinates': [-122.5, 37.5]}}
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751115'), 'track_location': {'type': 'Point', 'coordinates': [-122.259475, 37.87237]}}
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751116'), 'track_location': {'type': 'Point', 'coordinates': [-122.259169, 37.873873]}}
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751117'), 'track_location': {'type': 'Point', 'coordinates': [-122.25874, 37.875711]}}
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751118'), 'track_location': {'type': 'Point', 'coordinates': [-122.254577, 37.870352]}}
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751114'), 'track_location': {'type': 'Point', 'coordinates': [-122.5, 37.5]}}
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751115'), 'track_location': {'type': 'Point', 'coordinates': [-122.259475, 37.87237]}}
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751116'), 'track_location': {'type': 'Point', 'coordinates': [-122.259169, 37.873873]}}
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751117'), 'track_location': {'type': 'Point', 'coordinates': [-122.25874, 37.875711]}}
Found match for {'_id': ObjectId('5b3c3e473df7f66c9d751118'), 'track_location': {'type': 'Point', 'coordinates': [-122.254577, 37.870352]}}
Setting up real example for 430a5aaf-fb0c-4e75-9509-c061f197f7ae
Setting up real example for cf112919-e96c-4645-8e01-895c2d26e47b
Setting up real example for d95f02a4-f5e3-41f5-9486-213edda29b83
Setting up real example for 065a1665-bfef-4eb8-846d-e4579d698218
Setting up real example for 8889b439-206f-4820-826c-f114009172a2
Setting up real example for 8c030679-cce0-488d-9ca9-41cdf297c56e
Setting up real example for 71ea9fb0-e5eb-48d8-b8a6-b7f08e4346a6
Setting up real example for a239b656-2e38-4c5e-a4b1-7b7ecde1e710
Setting up real example for f8f77bbb-41d7-44e1-b6b5-07abea3f55be
Setting up real example for dde4b148-b2b8-4d41-acef-75c5b3b5caae
Setting up real example for 813e1ded-d816-4e70-b98d-1d3ae6c44b91
Setting up real example for 4fcaecf8-03fb-4920-9130-dae3a097fa9c
Setting up real example for 56eb3c31-313a-4091-b414-5d916e1747b8
Setting up real example for f73dd78a-1d11-4b6c-951f-0f873e4e3eea
Setting up real example for c61a5168-781d-4b62-bea8-8ac5f2dd17f5
Setting up real example for e9a20290-e36f-4ad6-a785-befe8c9bf7d7
Setting up real example for 86183057-354c-49b6-9fd2-62fb0ceb2fb6
Setting up real example for 8d1628f9-93ae-4bb3-a0fc-13134de08083
Setting up real example for b243d6df-9022-4dd0-8d61-e1f096cad622
Setting up real example for bb28f2f1-634c-4bb7-a278-68cd664cbfea
combined tests ran fine, running individual tests now
/home/jenkins/workspace/e-mission-server/emission/core/get_database.py:268: DeprecationWarning: save is deprecated. Use insert_one or replace_one instead
  db.save(entry)
/tmp/tmp.HCL09pW3Cn/lib/python3.6/importlib/_bootstrap.py:205: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__
  return f(*args, **kwds)
/tmp/tmp.HCL09pW3Cn/lib/python3.6/importlib/_bootstrap.py:205: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__
  return f(*args, **kwds)
/tmp/tmp.HCL09pW3Cn/lib/python3.6/importlib/_bootstrap.py:205: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__
  return f(*args, **kwds)
/tmp/tmp.HCL09pW3Cn/lib/python3.6/importlib/_bootstrap.py:205: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__
  return f(*args, **kwds)
/home/jenkins/workspace/e-mission-server/emission/core/get_database.py:268: DeprecationWarning: save is deprecated. Use insert_one or replace_one instead
  db.save(entry)
/tmp/tmp.HCL09pW3Cn/lib/python3.6/site-packages/pandas/core/frame.py:891: UserWarning: DataFrame columns are not unique, some columns will be omitted.
  "columns will be omitted.", UserWarning)
/tmp/tmp.HCL09pW3Cn/lib/python3.6/importlib/_bootstrap.py:205: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__
  return f(*args, **kwds)
/home/jenkins/workspace/e-mission-server/emission/analysis/classification/inference/mode/pipeline.py:153: ResourceWarning: unclosed file <_io.TextIOWrapper name='seed_model.json' mode='r' encoding='UTF-8'>
  self.model = seedp.ModeInferencePipelineMovesFormat.loadModel()
...
----------------------------------------------------------------------
Ran 3 tests in 56.532s

OK
storage not configured, falling back to sample, default configuration
Connecting to database URL localhost
analysis.debug.conf.json not configured, falling back to sample, default configuration
Setting up real example for a5e1d086-d36b-4d45-8082-a56eac374b53
Setting up real example for f455f7dc-91be-4c09-a4ac-a46ce6ae07f3
google maps key not configured, falling back to nominatim
nominatim not configured either, place decoding must happen on the client
Setting up real example for 9f34eba8-5cc1-4ca2-86b6-8d182c1e0e85
Setting up real example for 56c1a365-5f43-43dc-a34e-b99ead217ac3
Setting up real example for 796a2f66-971b-47bc-a81b-b4841208a8c8
Setting up real example for 062136ef-f960-44c2-957e-887879f9c758
sys:1: ResourceWarning: unclosed file <_io.TextIOWrapper name='conf/storage/db.conf.sample' mode='r' encoding='UTF-8'>
Removing environment from /tmp/tmp.HCL09pW3Cn

Package plan for package removal in environment /tmp/tmp.HCL09pW3Cn:

The following packages will be REMOVED:

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    alabaster:          0.7.10-py36_0                 
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    anaconda:           4.4.0-np112py36_0             
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    anaconda-project:   0.6.0-py36_0                  
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    fontconfig:         2.12.1-3                      
    freetype:           2.5.5-2                       
    get_terminal_size:  1.0.0-py36_0                  
    gevent:             1.2.1-py36_0                  
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    jbig:               2.1-0              conda-forge
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    jedi:               0.10.2-py36_2                 
    jinja2:             2.9.6-py36_0       conda-forge
    jmespath:           0.9.3-py36_0       conda-forge
    jpeg:               9b-0               conda-forge
    jsonschema:         2.6.0-py36_0       conda-forge
    jupyter:            1.0.0-py36_3                  
    jupyter_client:     5.0.1-py36_0       conda-forge
    jupyter_console:    5.1.0-py36_0       conda-forge
    jupyter_core:       4.3.0-py36_0       conda-forge
    lazy-object-proxy:  1.2.2-py36_0       conda-forge
    libffi:             3.2.1-1            conda-forge
    libgcc:             4.8.5-2                       
    libgcc-ng:          7.2.0-hdf63c60_3              
    libgfortran:        3.0.0-1                       
    libiconv:           1.14-0             conda-forge
    libpng:             1.6.27-0                      
    libsodium:          1.0.10-0           conda-forge
    libstdcxx-ng:       7.2.0-hdf63c60_3              
    libtiff:            4.0.6-3                       
    libtool:            2.4.2-0                       
    libxcb:             1.12-1             conda-forge
    libxml2:            2.9.4-0                       
    libxslt:            1.1.29-0           conda-forge
    llvmlite:           0.18.0-py36_0                 
    locket:             0.2.0-py36_1       conda-forge
    lxml:               3.7.3-py36_0       conda-forge
    markupsafe:         0.23-py36_2                   
    matplotlib:         2.0.2-np112py36_0             
    mccabe:             0.6.1-py36_0       conda-forge
    mistune:            0.7.4-py36_0       conda-forge
    mkl:                2017.0.1-0                    
    mkl-service:        1.1.2-py36_3                  
    mpmath:             0.19-py36_1                   
    msgpack-python:     0.4.8-py36_0       conda-forge
    multipledispatch:   0.4.9-py36_0       conda-forge
    navigator-updater:  0.1.0-py36_0                  
    nbconvert:          5.1.1-py36_0       conda-forge
    nbformat:           4.3.0-py36_0       conda-forge
    ncurses:            5.9-10             conda-forge
    networkx:           1.11-py36_0        conda-forge
    nltk:               3.2.3-py36_0                  
    nose:               1.3.7-py36_1                  
    notebook:           5.0.0-py36_0       conda-forge
    numba:              0.33.0-np112py36_0            
    numexpr:            2.6.2-np112py36_0  conda-forge
    numpy:              1.12.1-py36_0                 
    numpydoc:           0.6.0-py36_0       conda-forge
    odo:                0.5.0-py36_1                  
    olefile:            0.44-py36_0        conda-forge
    openpyxl:           2.4.7-py36_0                  
    openssl:            1.0.2l-0           conda-forge
    packaging:          16.8-py36_0        conda-forge
    pandas:             0.20.1-np112py36_0 conda-forge
    pandoc:             2.0.0.1-0          conda-forge
    pandocfilters:      1.4.1-py36_0       conda-forge
    pango:              1.40.3-1                      
    partd:              0.3.8-py36_0       conda-forge
    path.py:            10.3.1-py36_0      conda-forge
    pathlib2:           2.2.1-py36_0       conda-forge
    patsy:              0.4.1-py36_0       conda-forge
    pcre:               8.39-1                        
    pep8:               1.7.0-py36_0       conda-forge
    pexpect:            4.2.1-py36_0       conda-forge
    pickleshare:        0.7.4-py36_0       conda-forge
    pillow:             4.1.1-py36_0                  
    pip:                9.0.1-py36_1       conda-forge
    pixman:             0.34.0-0           conda-forge
    ply:                3.10-py36_0        conda-forge
    prompt_toolkit:     1.0.14-py36_0      conda-forge
    psutil:             5.2.2-py36_0       conda-forge
    ptyprocess:         0.5.1-py36_0       conda-forge
    py:                 1.4.33-py36_0      conda-forge
    pycosat:            0.6.2-py36_0       conda-forge
    pycparser:          2.17-py36_0        conda-forge
    pycrypto:           2.6.1-py36_6                  
    pycurl:             7.43.0-py36_2                 
    pyflakes:           1.5.0-py36_0       conda-forge
    pygments:           2.2.0-py36_0       conda-forge
    pylint:             1.6.4-py36_1       conda-forge
    pyodbc:             4.0.16-py36_0                 
    pyopenssl:          17.0.0-py36_0                 
    pyparsing:          2.1.4-py36_0                  
    pyqt:               5.6.0-py36_2       conda-forge
    pytables:           3.3.0-np112py36_0  conda-forge
    pytest:             3.0.7-py36_0       conda-forge
    python:             3.6.1-2            conda-forge
    python-dateutil:    2.6.0-py36_0       conda-forge
    pytz:               2017.2-py36_0      conda-forge
    pywavelets:         0.5.2-np112py36_0  conda-forge
    pyyaml:             3.12-py36_0        conda-forge
    pyzmq:              16.0.2-py36_0                 
    qt:                 5.6.2-4                       
    qtawesome:          0.4.4-py36_0       conda-forge
    qtconsole:          4.3.0-py36_0       conda-forge
    qtpy:               1.2.1-py36_0       conda-forge
    readline:           6.2-2                         
    requests:           2.14.2-py36_0                 
    rope:               0.9.4-py36_1                  
    ruamel_yaml:        0.11.14-py36_1                
    s3fs:               0.1.5-py_0         conda-forge
    s3transfer:         0.1.13-py36_0      conda-forge
    scikit-image:       0.13.0-np112py36_0 conda-forge
    scikit-learn:       0.18.1-np112py36_1            
    scipy:              0.19.0-np112py36_0            
    seaborn:            0.7.1-py36_0       conda-forge
    setuptools:         27.2.0-py36_0                 
    simplegeneric:      0.8.1-py36_1                  
    singledispatch:     3.4.0.3-py36_0     conda-forge
    sip:                4.18-py36_0                   
    six:                1.10.0-py36_0                 
    snowballstemmer:    1.2.1-py36_0       conda-forge
    sortedcollections:  0.5.3-py36_0       conda-forge
    sortedcontainers:   1.5.7-py36_0       conda-forge
    sphinx:             1.5.6-py36_0       conda-forge
    spyder:             3.1.4-py36_0       conda-forge
    sqlalchemy:         1.1.9-py36_0                  
    sqlite:             3.13.0-0           conda-forge
    statsmodels:        0.8.0-np112py36_0             
    sympy:              1.0-py36_0         conda-forge
    tblib:              1.3.2-py36_0       conda-forge
    terminado:          0.6-py36_0         conda-forge
    testpath:           0.3-py36_0         conda-forge
    tk:                 8.5.18-0                      
    toolz:              0.8.2-py36_0       conda-forge
    tornado:            4.5.1-py36_0       conda-forge
    traitlets:          4.3.2-py36_0       conda-forge
    unicodecsv:         0.14.1-py36_0      conda-forge
    unixodbc:           2.3.4-0            conda-forge
    vega:               0.4.4-py36_1       conda-forge
    vincent:            0.4.4-py36_0       conda-forge
    wcwidth:            0.1.7-py36_0       conda-forge
    webencodings:       0.5-py36_0         conda-forge
    werkzeug:           0.12.2-py36_0      conda-forge
    wheel:              0.29.0-py36_0      conda-forge
    widgetsnbextension: 2.0.0-py36_0       conda-forge
    wrapt:              1.10.10-py36_0                
    xlrd:               1.0.0-py36_0       conda-forge
    xlsxwriter:         0.9.6-py36_0       conda-forge
    xlwt:               1.2.0-py36_0       conda-forge
    xorg-libxau:        1.0.8-h470a237_4   conda-forge
    xorg-libxdmcp:      1.1.2-h470a237_4   conda-forge
    xz:                 5.2.2-1                       
    yaml:               0.1.6-0            conda-forge
    zeromq:             4.1.5-0            conda-forge
    zict:               0.1.2-py36_0       conda-forge
    zlib:               1.2.8-3            conda-forge

/tmp/tmp.HCL09pW3Cn/WARNING conda.core.link:run_script(516): pre-unlink script failed for package conda-forge::vega-0.4.4-py36_1
consider notifying the package maintainer
WARNING conda.core.link:run_script(516): pre-unlink script failed for package conda-forge::widgetsnbextension-2.0.0-py36_0
consider notifying the package maintainer
bin/.vega-pre-unlink.sh: line 1: /tmp/tmp.HCL09pW3Cn/bin/jupyter-nbextension: No such file or directory

rm: cannot remove 'conf/net/int_service/giles_conf.json': No such file or directory
rm: cannot remove 'conf/net/ext_service/push.json': No such file or directory
Finished: SUCCESS