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...
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 9b6e12f969d4e874ca4853e10c5649bf501f5e20 (refs/remotes/origin/master)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 9b6e12f969d4e874ca4853e10c5649bf501f5e20
 > git rev-list 5e26faa4caf652b0de74053e01e2aa296ca67c86 # timeout=10
[e-mission-server] $ /bin/bash /tmp/hudson3008435162667567784.sh
Deploying environment in /tmp/tmp.4KbM3K2nF3
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: .
click-6.7-py36   0% |                              | ETA:  --:--:--   0.00  B/s
click-6.7-py36  15% |####                           | ETA:  0:00:00 272.20 kB/s
click-6.7-py36  31% |#########                      | ETA:  0:00:00 538.63 kB/s
click-6.7-py36  46% |##############                 | ETA:  0:00:00 407.48 kB/s
click-6.7-py36  62% |###################            | ETA:  0:00:00 540.04 kB/s
click-6.7-py36  77% |########################       | ETA:  0:00:00 671.88 kB/s
click-6.7-py36  93% |############################   | ETA:  0:00:00 543.19 kB/s
click-6.7-py36 100% |###############################| ETA:  0:00:00 581.08 kB/s
click-6.7-py36 100% |###############################| Time: 0:00:00 579.99 kB/s
colorama-0.3.9   0% |                              | ETA:  --:--:--   0.00  B/s
colorama-0.3.9  75% |#######################        | Time: 0:00:00  24.27 MB/s
colorama-0.3.9 100% |###############################| Time: 0:00:00  18.24 MB/s
colorama-0.3.9 100% |###############################| Time: 0:00:00  14.22 MB/s
contextlib2-0.   0% |                              | ETA:  --:--:--   0.00  B/s
contextlib2-0.  95% |#############################  | Time: 0:00:00  22.79 MB/s
contextlib2-0. 100% |###############################| Time: 0:00:00  15.21 MB/s
contextlib2-0. 100% |###############################| Time: 0:00:00  11.82 MB/s
et_xmlfile-1.0   0% |                              | ETA:  --:--:--   0.00  B/s
et_xmlfile-1.0  83% |#########################      | Time: 0:00:00  24.06 MB/s
et_xmlfile-1.0 100% |###############################| Time: 0:00:00  16.95 MB/s
et_xmlfile-1.0 100% |###############################| Time: 0:00:00  13.09 MB/s
ipython_genuti   0% |                              | ETA:  --:--:--   0.00  B/s
ipython_genuti  43% |#############                  | Time: 0:00:00  25.81 MB/s
ipython_genuti  87% |###########################    | Time: 0:00:00  26.23 MB/s
ipython_genuti 100% |###############################| Time: 0:00:00  22.13 MB/s
ipython_genuti 100% |###############################| Time: 0:00:00  18.53 MB/s
jsonschema-2.6   0% |                              | ETA:  --:--:--   0.00  B/s
jsonschema-2.6  25% |#######                        | Time: 0:00:00  22.85 MB/s
jsonschema-2.6  50% |###############                | Time: 0:00:00  25.17 MB/s
jsonschema-2.6  75% |#######################        | Time: 0:00:00  26.63 MB/s
jsonschema-2.6 100% |###############################| Time: 0:00:00  26.88 MB/s
jsonschema-2.6 100% |###############################| Time: 0:00:00  23.74 MB/s
locket-0.2.0-p   0% |                              | ETA:  --:--:--   0.00  B/s
locket-0.2.0-p 100% |###############################| Time: 0:00:00  11.49 MB/s
locket-0.2.0-p 100% |###############################| Time: 0:00:00   7.10 MB/s
pickleshare-0.   0% |                              | ETA:  --:--:--   0.00  B/s
pickleshare-0. 100% |###############################| Time: 0:00:00  17.37 MB/s
pickleshare-0. 100% |###############################| Time: 0:00:00  11.21 MB/s
pysocks-1.6.8-   0% |                              | ETA:  --:--:--   0.00  B/s
pysocks-1.6.8-  72% |######################         | Time: 0:00:00  23.27 MB/s
pysocks-1.6.8- 100% |###############################| Time: 0:00:00  18.47 MB/s
pysocks-1.6.8- 100% |###############################| Time: 0:00:00  14.37 MB/s
snowballstemme   0% |                              | ETA:  --:--:--   0.00  B/s
snowballstemme  19% |#####                          | Time: 0:00:00  21.91 MB/s
snowballstemme  38% |###########                    | Time: 0:00:00  25.05 MB/s
snowballstemme  58% |#################              | Time: 0:00:00  25.75 MB/s
snowballstemme  77% |#######################        | Time: 0:00:00  26.67 MB/s
snowballstemme  96% |#############################  | Time: 0:00:00  27.14 MB/s
snowballstemme 100% |###############################| Time: 0:00:00  24.86 MB/s
snowballstemme 100% |###############################| Time: 0:00:00  22.67 MB/s
tblib-1.3.2-py   0% |                              | ETA:  --:--:--   0.00  B/s
tblib-1.3.2-py 100% |###############################| Time: 0:00:00  21.15 MB/s
tblib-1.3.2-py 100% |###############################| Time: 0:00:00  13.33 MB/s
unicodecsv-0.1   0% |                              | ETA:  --:--:--   0.00  B/s
unicodecsv-0.1  64% |###################            | Time: 0:00:00  24.34 MB/s
unicodecsv-0.1 100% |###############################| Time: 0:00:00  21.20 MB/s
unicodecsv-0.1 100% |###############################| Time: 0:00:00  16.77 MB/s
wcwidth-0.1.7-   0% |                              | ETA:  --:--:--   0.00  B/s
wcwidth-0.1.7-  68% |#####################          | Time: 0:00:00  23.51 MB/s
wcwidth-0.1.7- 100% |###############################| Time: 0:00:00  20.59 MB/s
wcwidth-0.1.7- 100% |###############################| Time: 0:00:00  16.01 MB/s
cycler-0.10.0-   0% |                              | ETA:  --:--:--   0.00  B/s
cycler-0.10.0- 100% |###############################| Time: 0:00:00  23.29 MB/s
cycler-0.10.0- 100% |###############################| Time: 0:00:00  15.28 MB/s
partd-0.3.8-py   0% |                              | ETA:  --:--:--   0.00  B/s
partd-0.3.8-py  55% |#################              | Time: 0:00:00  24.10 MB/s
partd-0.3.8-py 100% |###############################| Time: 0:00:00  23.61 MB/s
partd-0.3.8-py 100% |###############################| Time: 0:00:00  18.77 MB/s
pygments-2.2.0   0% |                              | ETA:  --:--:--   0.00  B/s
pygments-2.2.0   1% |                               | Time: 0:00:00  13.24 MB/s
pygments-2.2.0   2% |                               | Time: 0:00:00  16.94 MB/s
pygments-2.2.0   3% |#                              | Time: 0:00:00  19.32 MB/s
pygments-2.2.0   4% |#                              | Time: 0:00:00  20.84 MB/s
pygments-2.2.0   5% |#                              | Time: 0:00:00  22.16 MB/s
pygments-2.2.0   7% |##                             | Time: 0:00:00   1.64 MB/s
pygments-2.2.0   8% |##                             | Time: 0:00:00   1.89 MB/s
pygments-2.2.0   9% |##                             | Time: 0:00:00   2.13 MB/s
pygments-2.2.0  10% |###                            | Time: 0:00:00   2.37 MB/s
pygments-2.2.0  11% |###                            | Time: 0:00:00   2.60 MB/s
pygments-2.2.0  12% |####                           | Time: 0:00:00   2.83 MB/s
pygments-2.2.0  14% |####                           | Time: 0:00:00   3.06 MB/s
pygments-2.2.0  15% |####                           | Time: 0:00:00   3.29 MB/s
pygments-2.2.0  16% |#####                          | Time: 0:00:00   3.51 MB/s
pygments-2.2.0  17% |#####                          | Time: 0:00:00   3.73 MB/s
pygments-2.2.0  18% |#####                          | Time: 0:00:00   3.95 MB/s
pygments-2.2.0  19% |######                         | Time: 0:00:00   4.17 MB/s
pygments-2.2.0  21% |######                         | Time: 0:00:00   4.38 MB/s
pygments-2.2.0  22% |######                         | Time: 0:00:00   4.58 MB/s
pygments-2.2.0  23% |#######                        | Time: 0:00:00   4.79 MB/s
pygments-2.2.0  24% |#######                        | Time: 0:00:00   4.99 MB/s
pygments-2.2.0  25% |########                       | Time: 0:00:00   5.18 MB/s
pygments-2.2.0  27% |########                       | Time: 0:00:00   5.38 MB/s
pygments-2.2.0  28% |########                       | Time: 0:00:00   5.57 MB/s
pygments-2.2.0  29% |#########                      | Time: 0:00:00   5.76 MB/s
pygments-2.2.0  30% |#########                      | Time: 0:00:00   3.55 MB/s
pygments-2.2.0  31% |#########                      | Time: 0:00:00   3.66 MB/s
pygments-2.2.0  32% |##########                     | Time: 0:00:00   3.77 MB/s
pygments-2.2.0  34% |##########                     | Time: 0:00:00   3.88 MB/s
pygments-2.2.0  35% |##########                     | Time: 0:00:00   3.99 MB/s
pygments-2.2.0  36% |###########                    | Time: 0:00:00   4.10 MB/s
pygments-2.2.0  37% |###########                    | Time: 0:00:00   4.21 MB/s
pygments-2.2.0  38% |############                   | Time: 0:00:00   4.33 MB/s
pygments-2.2.0  39% |############                   | Time: 0:00:00   4.44 MB/s
pygments-2.2.0  41% |############                   | Time: 0:00:00   4.55 MB/s
pygments-2.2.0  42% |#############                  | Time: 0:00:00   4.66 MB/s
pygments-2.2.0  43% |#############                  | Time: 0:00:00   4.77 MB/s
pygments-2.2.0  44% |#############                  | Time: 0:00:00   3.45 MB/s
pygments-2.2.0  45% |##############                 | Time: 0:00:00   3.52 MB/s
pygments-2.2.0  46% |##############                 | Time: 0:00:00   3.59 MB/s
pygments-2.2.0  48% |##############                 | Time: 0:00:00   3.66 MB/s
pygments-2.2.0  49% |###############                | Time: 0:00:00   3.74 MB/s
pygments-2.2.0  50% |###############                | Time: 0:00:00   3.81 MB/s
pygments-2.2.0  51% |################               | Time: 0:00:00   3.88 MB/s
pygments-2.2.0  52% |################               | Time: 0:00:00   3.95 MB/s
pygments-2.2.0  54% |################               | Time: 0:00:00   4.03 MB/s
pygments-2.2.0  55% |#################              | Time: 0:00:00   4.10 MB/s
pygments-2.2.0  56% |#################              | Time: 0:00:00   4.18 MB/s
pygments-2.2.0  57% |#################              | Time: 0:00:00   4.25 MB/s
pygments-2.2.0  58% |##################             | Time: 0:00:00   4.33 MB/s
pygments-2.2.0  59% |##################             | Time: 0:00:00   4.40 MB/s
pygments-2.2.0  61% |##################             | Time: 0:00:00   4.47 MB/s
pygments-2.2.0  62% |###################            | Time: 0:00:00   4.55 MB/s
pygments-2.2.0  63% |###################            | Time: 0:00:00   4.62 MB/s
pygments-2.2.0  64% |####################           | Time: 0:00:00   4.69 MB/s
pygments-2.2.0  65% |####################           | Time: 0:00:00   4.76 MB/s
pygments-2.2.0  66% |####################           | Time: 0:00:00   4.84 MB/s
pygments-2.2.0  68% |#####################          | Time: 0:00:00   4.91 MB/s
pygments-2.2.0  69% |#####################          | Time: 0:00:00   4.98 MB/s
pygments-2.2.0  70% |#####################          | Time: 0:00:00   5.05 MB/s
pygments-2.2.0  71% |######################         | Time: 0:00:00   5.12 MB/s
pygments-2.2.0  72% |######################         | Time: 0:00:00   5.19 MB/s
pygments-2.2.0  74% |######################         | Time: 0:00:00   5.26 MB/s
pygments-2.2.0  75% |#######################        | Time: 0:00:00   5.33 MB/s
pygments-2.2.0  76% |#######################        | Time: 0:00:00   5.40 MB/s
pygments-2.2.0  77% |########################       | Time: 0:00:00   5.47 MB/s
pygments-2.2.0  78% |########################       | Time: 0:00:00   5.54 MB/s
pygments-2.2.0  79% |########################       | Time: 0:00:00   5.61 MB/s
pygments-2.2.0  81% |#########################      | Time: 0:00:00   5.68 MB/s
pygments-2.2.0  82% |#########################      | Time: 0:00:00   5.74 MB/s
pygments-2.2.0  83% |#########################      | Time: 0:00:00   5.81 MB/s
pygments-2.2.0  84% |##########################     | Time: 0:00:00   5.88 MB/s
pygments-2.2.0  85% |##########################     | Time: 0:00:00   5.95 MB/s
pygments-2.2.0  86% |##########################     | Time: 0:00:00   6.01 MB/s
pygments-2.2.0  88% |###########################    | Time: 0:00:00   6.08 MB/s
pygments-2.2.0  89% |###########################    | Time: 0:00:00   6.15 MB/s
pygments-2.2.0  90% |############################   | Time: 0:00:00   6.21 MB/s
pygments-2.2.0  91% |############################   | Time: 0:00:00   6.28 MB/s
pygments-2.2.0  92% |############################   | Time: 0:00:00   6.34 MB/s
pygments-2.2.0  93% |#############################  | Time: 0:00:00   6.41 MB/s
pygments-2.2.0  95% |#############################  | Time: 0:00:00   6.47 MB/s
pygments-2.2.0  96% |#############################  | Time: 0:00:00   6.53 MB/s
pygments-2.2.0  97% |############################## | Time: 0:00:00   6.60 MB/s
pygments-2.2.0  98% |############################## | Time: 0:00:00   6.66 MB/s
pygments-2.2.0  99% |############################## | Time: 0:00:00   6.72 MB/s
pygments-2.2.0 100% |###############################| Time: 0:00:00   6.72 MB/s
pygments-2.2.0 100% |###############################| Time: 0:00:00   6.71 MB/s
qtawesome-0.4.   0% |                              | ETA:  --:--:--   0.00  B/s
qtawesome-0.4.  10% |###                            | Time: 0:00:00  23.08 MB/s
qtawesome-0.4.  20% |######                         | Time: 0:00:00  25.38 MB/s
qtawesome-0.4.  30% |#########                      | Time: 0:00:00  26.57 MB/s
qtawesome-0.4.  40% |############                   | Time: 0:00:00  27.01 MB/s
qtawesome-0.4.  50% |###############                | Time: 0:00:00  27.52 MB/s
qtawesome-0.4.  61% |##################             | Time: 0:00:00  27.95 MB/s
qtawesome-0.4.  71% |######################         | Time: 0:00:00  28.16 MB/s
qtawesome-0.4.  81% |#########################      | Time: 0:00:00  28.56 MB/s
qtawesome-0.4.  91% |############################   | Time: 0:00:00  28.86 MB/s
qtawesome-0.4. 100% |###############################| Time: 0:00:00  28.60 MB/s
qtawesome-0.4. 100% |###############################| Time: 0:00:00  27.05 MB/s
singledispatch   0% |                              | ETA:  --:--:--   0.00  B/s
singledispatch 100% |###############################| Time: 0:00:00  21.43 MB/s
singledispatch 100% |###############################| Time: 0:00:00  14.05 MB/s
traitlets-4.3.   0% |                              | ETA:  --:--:--   0.00  B/s
traitlets-4.3.  12% |###                            | Time: 0:00:00  24.03 MB/s
traitlets-4.3.  24% |#######                        | Time: 0:00:00  26.38 MB/s
traitlets-4.3.  36% |###########                    | Time: 0:00:00  27.14 MB/s
traitlets-4.3.  48% |###############                | Time: 0:00:00  27.05 MB/s
traitlets-4.3.  61% |##################             | Time: 0:00:00  26.87 MB/s
traitlets-4.3.  73% |######################         | Time: 0:00:00  27.17 MB/s
traitlets-4.3.  85% |##########################     | Time: 0:00:00  27.52 MB/s
traitlets-4.3.  97% |############################## | Time: 0:00:00  27.75 MB/s
traitlets-4.3. 100% |###############################| Time: 0:00:00  26.16 MB/s
traitlets-4.3. 100% |###############################| Time: 0:00:00  24.60 MB/s
urllib3-1.23-p   0% |                              | ETA:  --:--:--   0.00  B/s
urllib3-1.23-p  10% |###                            | Time: 0:00:00  20.95 MB/s
urllib3-1.23-p  21% |######                         | Time: 0:00:00  24.34 MB/s
urllib3-1.23-p  31% |#########                      | Time: 0:00:00  25.81 MB/s
urllib3-1.23-p  42% |#############                  | Time: 0:00:00  26.74 MB/s
urllib3-1.23-p  52% |################               | Time: 0:00:00  27.38 MB/s
urllib3-1.23-p  63% |###################            | Time: 0:00:00  27.69 MB/s
urllib3-1.23-p  73% |######################         | Time: 0:00:00  28.01 MB/s
urllib3-1.23-p  84% |##########################     | Time: 0:00:00  28.16 MB/s
urllib3-1.23-p  94% |#############################  | Time: 0:00:00  28.34 MB/s
urllib3-1.23-p 100% |###############################| Time: 0:00:00  27.56 MB/s
urllib3-1.23-p 100% |###############################| Time: 0:00:00  26.07 MB/s
botocore-1.12.   0% |                              | ETA:  --:--:--   0.00  B/s
botocore-1.12.   0% |                               | Time: 0:00:00  15.83 MB/s
botocore-1.12.   1% |                               | Time: 0:00:00  17.49 MB/s
botocore-1.12.   1% |                               | Time: 0:00:00  17.53 MB/s
botocore-1.12.   2% |                               | Time: 0:00:00  17.96 MB/s
botocore-1.12.   2% |                               | Time: 0:00:00  18.22 MB/s
botocore-1.12.   3% |#                              | Time: 0:00:00  18.08 MB/s
botocore-1.12.   3% |#                              | Time: 0:00:00  17.97 MB/s
botocore-1.12.   4% |#                              | Time: 0:00:00  17.91 MB/s
botocore-1.12.   5% |#                              | Time: 0:00:00  17.90 MB/s
botocore-1.12.   5% |#                              | Time: 0:00:00  18.39 MB/s
botocore-1.12.   6% |#                              | Time: 0:00:00  19.02 MB/s
botocore-1.12.   6% |##                             | Time: 0:00:00  19.61 MB/s
botocore-1.12.   7% |##                             | Time: 0:00:00  20.10 MB/s
botocore-1.12.   7% |##                             | Time: 0:00:00  20.66 MB/s
botocore-1.12.   8% |##                             | Time: 0:00:00  21.17 MB/s
botocore-1.12.   9% |##                             | Time: 0:00:00  21.64 MB/s
botocore-1.12.   9% |##                             | Time: 0:00:00  22.07 MB/s
botocore-1.12.  10% |###                            | Time: 0:00:00  22.54 MB/s
botocore-1.12.  10% |###                            | Time: 0:00:00  22.95 MB/s
botocore-1.12.  11% |###                            | Time: 0:00:00  23.30 MB/s
botocore-1.12.  11% |###                            | Time: 0:00:00  23.60 MB/s
botocore-1.12.  12% |###                            | Time: 0:00:00  23.89 MB/s
botocore-1.12.  12% |####                           | Time: 0:00:00  24.17 MB/s
botocore-1.12.  13% |####                           | Time: 0:00:00  24.44 MB/s
botocore-1.12.  14% |####                           | Time: 0:00:00  24.69 MB/s
botocore-1.12.  14% |####                           | Time: 0:00:00  24.91 MB/s
botocore-1.12.  15% |####                           | Time: 0:00:00  25.15 MB/s
botocore-1.12.  15% |####                           | Time: 0:00:00  25.36 MB/s
botocore-1.12.  16% |#####                          | Time: 0:00:00  25.54 MB/s
botocore-1.12.  16% |#####                          | Time: 0:00:00  25.73 MB/s
botocore-1.12.  17% |#####                          | Time: 0:00:00  25.91 MB/s
botocore-1.12.  18% |#####                          | Time: 0:00:00  26.09 MB/s
botocore-1.12.  18% |#####                          | Time: 0:00:00  26.27 MB/s
botocore-1.12.  19% |#####                          | Time: 0:00:00  26.46 MB/s
botocore-1.12.  19% |######                         | Time: 0:00:00  26.63 MB/s
botocore-1.12.  20% |######                         | Time: 0:00:00  26.80 MB/s
botocore-1.12.  20% |######                         | Time: 0:00:00  26.92 MB/s
botocore-1.12.  21% |######                         | Time: 0:00:00  27.09 MB/s
botocore-1.12.  22% |######                         | Time: 0:00:00  27.26 MB/s
botocore-1.12.  22% |#######                        | Time: 0:00:00  27.42 MB/s
botocore-1.12.  23% |#######                        | Time: 0:00:00  27.59 MB/s
botocore-1.12.  23% |#######                        | Time: 0:00:00  27.77 MB/s
botocore-1.12.  24% |#######                        | Time: 0:00:00  27.93 MB/s
botocore-1.12.  24% |#######                        | Time: 0:00:00  28.08 MB/s
botocore-1.12.  25% |#######                        | Time: 0:00:00  28.23 MB/s
botocore-1.12.  25% |########                       | Time: 0:00:00  28.36 MB/s
botocore-1.12.  26% |########                       | Time: 0:00:00  28.50 MB/s
botocore-1.12.  27% |########                       | Time: 0:00:00  28.62 MB/s
botocore-1.12.  27% |########                       | Time: 0:00:00  28.75 MB/s
botocore-1.12.  28% |########                       | Time: 0:00:00  28.88 MB/s
botocore-1.12.  28% |########                       | Time: 0:00:00  29.00 MB/s
botocore-1.12.  29% |#########                      | Time: 0:00:00  29.12 MB/s
botocore-1.12.  29% |#########                      | Time: 0:00:00  29.25 MB/s
botocore-1.12.  30% |#########                      | Time: 0:00:00  29.36 MB/s
botocore-1.12.  31% |#########                      | Time: 0:00:00  29.45 MB/s
botocore-1.12.  31% |#########                      | Time: 0:00:00  29.56 MB/s
botocore-1.12.  32% |#########                      | Time: 0:00:00  29.66 MB/s
botocore-1.12.  32% |##########                     | Time: 0:00:00  29.76 MB/s
botocore-1.12.  33% |##########                     | Time: 0:00:00  29.86 MB/s
botocore-1.12.  33% |##########                     | Time: 0:00:00  29.96 MB/s
botocore-1.12.  34% |##########                     | Time: 0:00:00  30.04 MB/s
botocore-1.12.  35% |##########                     | Time: 0:00:00  30.12 MB/s
botocore-1.12.  35% |###########                    | Time: 0:00:00  30.21 MB/s
botocore-1.12.  36% |###########                    | Time: 0:00:00  30.26 MB/s
botocore-1.12.  36% |###########                    | Time: 0:00:00  30.35 MB/s
botocore-1.12.  37% |###########                    | Time: 0:00:00  30.44 MB/s
botocore-1.12.  37% |###########                    | Time: 0:00:00  30.55 MB/s
botocore-1.12.  38% |###########                    | Time: 0:00:00  30.65 MB/s
botocore-1.12.  38% |############                   | Time: 0:00:00  30.74 MB/s
botocore-1.12.  39% |############                   | Time: 0:00:00  30.84 MB/s
botocore-1.12.  40% |############                   | Time: 0:00:00  30.92 MB/s
botocore-1.12.  40% |############                   | Time: 0:00:00  31.01 MB/s
botocore-1.12.  41% |############                   | Time: 0:00:00  31.08 MB/s
botocore-1.12.  41% |############                   | Time: 0:00:00  31.15 MB/s
botocore-1.12.  42% |#############                  | Time: 0:00:00  20.90 MB/s
botocore-1.12.  42% |#############                  | Time: 0:00:00  20.91 MB/s
botocore-1.12.  43% |#############                  | Time: 0:00:00  20.96 MB/s
botocore-1.12.  44% |#############                  | Time: 0:00:00  21.00 MB/s
botocore-1.12.  44% |#############                  | Time: 0:00:00  21.03 MB/s
botocore-1.12.  45% |##############                 | Time: 0:00:00  21.04 MB/s
botocore-1.12.  45% |##############                 | Time: 0:00:00  21.09 MB/s
botocore-1.12.  46% |##############                 | Time: 0:00:00  21.13 MB/s
botocore-1.12.  46% |##############                 | Time: 0:00:00  21.18 MB/s
botocore-1.12.  47% |##############                 | Time: 0:00:00  21.23 MB/s
botocore-1.12.  47% |##############                 | Time: 0:00:00  21.29 MB/s
botocore-1.12.  48% |###############                | Time: 0:00:00  21.34 MB/s
botocore-1.12.  49% |###############                | Time: 0:00:00  21.37 MB/s
botocore-1.12.  49% |###############                | Time: 0:00:00  21.42 MB/s
botocore-1.12.  50% |###############                | Time: 0:00:00  21.46 MB/s
botocore-1.12.  50% |###############                | Time: 0:00:00  21.49 MB/s
botocore-1.12.  51% |###############                | Time: 0:00:00  21.53 MB/s
botocore-1.12.  51% |################               | Time: 0:00:00  21.58 MB/s
botocore-1.12.  52% |################               | Time: 0:00:00  21.61 MB/s
botocore-1.12.  53% |################               | Time: 0:00:00  21.64 MB/s
botocore-1.12.  53% |################               | Time: 0:00:00  21.67 MB/s
botocore-1.12.  54% |################               | Time: 0:00:00  21.71 MB/s
botocore-1.12.  54% |################               | Time: 0:00:00  21.79 MB/s
botocore-1.12.  55% |#################              | Time: 0:00:00  21.89 MB/s
botocore-1.12.  55% |#################              | Time: 0:00:00  21.99 MB/s
botocore-1.12.  56% |#################              | Time: 0:00:00  22.09 MB/s
botocore-1.12.  57% |#################              | Time: 0:00:00  22.19 MB/s
botocore-1.12.  57% |#################              | Time: 0:00:00  22.29 MB/s
botocore-1.12.  58% |##################             | Time: 0:00:00  22.39 MB/s
botocore-1.12.  58% |##################             | Time: 0:00:00  22.50 MB/s
botocore-1.12.  59% |##################             | Time: 0:00:00  22.60 MB/s
botocore-1.12.  59% |##################             | Time: 0:00:00  22.71 MB/s
botocore-1.12.  60% |##################             | Time: 0:00:00  22.81 MB/s
botocore-1.12.  60% |##################             | Time: 0:00:00  22.91 MB/s
botocore-1.12.  61% |###################            | Time: 0:00:00  23.01 MB/s
botocore-1.12.  62% |###################            | Time: 0:00:00  23.11 MB/s
botocore-1.12.  62% |###################            | Time: 0:00:00  23.20 MB/s
botocore-1.12.  63% |###################            | Time: 0:00:00  23.29 MB/s
botocore-1.12.  63% |###################            | Time: 0:00:00  23.38 MB/s
botocore-1.12.  64% |###################            | Time: 0:00:00  23.48 MB/s
botocore-1.12.  64% |####################           | Time: 0:00:00  23.57 MB/s
botocore-1.12.  65% |####################           | Time: 0:00:00  23.67 MB/s
botocore-1.12.  66% |####################           | Time: 0:00:00  23.76 MB/s
botocore-1.12.  66% |####################           | Time: 0:00:00  23.85 MB/s
botocore-1.12.  67% |####################           | Time: 0:00:00  23.94 MB/s
botocore-1.12.  67% |#####################          | Time: 0:00:00  24.03 MB/s
botocore-1.12.  68% |#####################          | Time: 0:00:00  24.12 MB/s
botocore-1.12.  68% |#####################          | Time: 0:00:00  24.21 MB/s
botocore-1.12.  69% |#####################          | Time: 0:00:00  24.30 MB/s
botocore-1.12.  70% |#####################          | Time: 0:00:00  24.39 MB/s
botocore-1.12.  70% |#####################          | Time: 0:00:00  24.48 MB/s
botocore-1.12.  71% |######################         | Time: 0:00:00  24.56 MB/s
botocore-1.12.  71% |######################         | Time: 0:00:00  24.65 MB/s
botocore-1.12.  72% |######################         | Time: 0:00:00  24.74 MB/s
botocore-1.12.  72% |######################         | Time: 0:00:00  24.82 MB/s
botocore-1.12.  73% |######################         | Time: 0:00:00  24.91 MB/s
botocore-1.12.  73% |######################         | Time: 0:00:00  24.99 MB/s
botocore-1.12.  74% |#######################        | Time: 0:00:00  25.07 MB/s
botocore-1.12.  75% |#######################        | Time: 0:00:00  25.15 MB/s
botocore-1.12.  75% |#######################        | Time: 0:00:00  25.24 MB/s
botocore-1.12.  76% |#######################        | Time: 0:00:00  25.32 MB/s
botocore-1.12.  76% |#######################        | Time: 0:00:00  25.41 MB/s
botocore-1.12.  77% |#######################        | Time: 0:00:00  25.49 MB/s
botocore-1.12.  77% |########################       | Time: 0:00:00  25.57 MB/s
botocore-1.12.  78% |########################       | Time: 0:00:00  25.66 MB/s
botocore-1.12.  79% |########################       | Time: 0:00:00  25.74 MB/s
botocore-1.12.  79% |########################       | Time: 0:00:00  25.82 MB/s
botocore-1.12.  80% |########################       | Time: 0:00:00  25.90 MB/s
botocore-1.12.  80% |#########################      | Time: 0:00:00  25.98 MB/s
botocore-1.12.  81% |#########################      | Time: 0:00:00  26.05 MB/s
botocore-1.12.  81% |#########################      | Time: 0:00:00  26.13 MB/s
botocore-1.12.  82% |#########################      | Time: 0:00:00  26.21 MB/s
botocore-1.12.  83% |#########################      | Time: 0:00:00  26.29 MB/s
botocore-1.12.  83% |#########################      | Time: 0:00:00  26.36 MB/s
botocore-1.12.  84% |##########################     | Time: 0:00:00  26.44 MB/s
botocore-1.12.  84% |##########################     | Time: 0:00:00  26.51 MB/s
botocore-1.12.  85% |##########################     | Time: 0:00:00  26.59 MB/s
botocore-1.12.  85% |##########################     | Time: 0:00:00  26.67 MB/s
botocore-1.12.  86% |##########################     | Time: 0:00:00  26.74 MB/s
botocore-1.12.  86% |##########################     | Time: 0:00:00  26.82 MB/s
botocore-1.12.  87% |###########################    | Time: 0:00:00  26.89 MB/s
botocore-1.12.  88% |###########################    | Time: 0:00:00  26.96 MB/s
botocore-1.12.  88% |###########################    | Time: 0:00:00  27.04 MB/s
botocore-1.12.  89% |###########################    | Time: 0:00:00  27.11 MB/s
botocore-1.12.  89% |###########################    | Time: 0:00:00  27.18 MB/s
botocore-1.12.  90% |############################   | Time: 0:00:00  27.25 MB/s
botocore-1.12.  90% |############################   | Time: 0:00:00  27.32 MB/s
botocore-1.12.  91% |############################   | Time: 0:00:00  27.40 MB/s
botocore-1.12.  92% |############################   | Time: 0:00:00  27.46 MB/s
botocore-1.1Collecting arrow==0.12.0
Collecting attrdict==2.0.0
Requirement already satisfied: backports.shutil-get-terminal-size==1.0.0 in /tmp/tmp.4KbM3K2nF3/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
  Using cached https://files.pythonhosted.org/packages/af/42/cb9355df32c69b553e72a2e28daee25d1611d2c0d9c272aa1d34204205b2/enum34-1.1.6-py3-none-any.whl
Requirement already satisfied: et-xmlfile==1.0.1 in /tmp/tmp.4KbM3K2nF3/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
  Using cached https://files.pythonhosted.org/packages/25/1d/e56a53fe3bfd5b3ebeda9b3bf1e4e2512fec98c35c521d381bd525714df5/google_auth-1.2.1-py2.py3-none-any.whl
Requirement already satisfied: ipython-genutils==0.2.0 in /tmp/tmp.4KbM3K2nF3/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.4KbM3K2nF3/lib/python3.6/site-packages
Requirement already satisfied: jupyter-console==5.1.0 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages
Requirement already satisfied: jupyter-core==4.3.0 in /tmp/tmp.4KbM3K2nF3/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
  Using cached https://files.pythonhosted.org/packages/16/20/d98f22a2a5b1d7f5ab3a38154f7a1dd87846f2c5881f4b6929bdd1624e72/portend-2.2-py2.py3-none-any.whl
Requirement already satisfied: prompt-toolkit==1.0.14 in /tmp/tmp.4KbM3K2nF3/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.4KbM3K2nF3/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.4KbM3K2nF3/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
  Using cached https://files.pythonhosted.org/packages/63/cb/6965947c13a94236f6d4b8223e21beb4d576dc72e8130bd7880f600839b8/urllib3-1.22-py2.py3-none-any.whl
Collecting utm==0.4.2
Collecting xmltodict==0.11.0
  Using cached https://files.pythonhosted.org/packages/42/a9/7e99652c6bc619d19d58cdd8c47560730eb5825d43a7e25db2e1d776ceb7/xmltodict-0.11.0-py2.py3-none-any.whl
Requirement already satisfied: python-dateutil in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from arrow==0.12.0)
Requirement already satisfied: six in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from attrdict==2.0.0)
Requirement already satisfied: pyzmq>=13 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from jupyter-client==5.0.1)
Requirement already satisfied: traitlets in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from jupyter-client==5.0.1)
Requirement already satisfied: ipython in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from jupyter-console==5.1.0)
Requirement already satisfied: ipykernel in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from jupyter-console==5.1.0)
Requirement already satisfied: pygments in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from jupyter-console==5.1.0)
Requirement already satisfied: cryptography>=1.5 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from jwcrypto==0.4.2)
Requirement already satisfied: wcwidth in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from prompt-toolkit==1.0.14)
Requirement already satisfied: requests in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from pyfcm==1.4.3)
Requirement already satisfied: lxml>=2.2.6 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from pykml==0.1.3)
Requirement already satisfied: numpy>=1.8.0 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from tables==3.3.0)
Requirement already satisfied: numexpr>=2.5.2 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from tables==3.3.0)
Requirement already satisfied: pytz in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from tempora==1.9)
Requirement already satisfied: decorator in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from traitlets->jupyter-client==5.0.1)
Requirement already satisfied: simplegeneric>0.8 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from ipython->jupyter-console==5.1.0)
Requirement already satisfied: pexpect; sys_platform != "win32" in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from ipython->jupyter-console==5.1.0)
Requirement already satisfied: pickleshare in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from ipython->jupyter-console==5.1.0)
Requirement already satisfied: setuptools>=18.5 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages/setuptools-27.2.0-py3.6.egg (from ipython->jupyter-console==5.1.0)
Requirement already satisfied: tornado>=4.0 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from ipykernel->jupyter-console==5.1.0)
Requirement already satisfied: idna>=2.1 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from cryptography>=1.5->jwcrypto==0.4.2)
Requirement already satisfied: asn1crypto>=0.21.0 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from cryptography>=1.5->jwcrypto==0.4.2)
Requirement already satisfied: packaging in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from cryptography>=1.5->jwcrypto==0.4.2)
Requirement already satisfied: cffi>=1.4.1 in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from cryptography>=1.5->jwcrypto==0.4.2)
Requirement already satisfied: pyparsing in /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages (from packaging->cryptography>=1.5->jwcrypto==0.4.2)
Requirement already satisfied: pycparser in /tmp/tmp.4KbM3K2nF3/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
  Found existing installation: certifi 2018.8.24
    DEPRECATION: Uninstalling a distutils installed project (certifi) 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 certifi-2018.8.24:
      Successfully uninstalled certifi-2018.8.24
  Found existing installation: urllib3 1.23
    Uninstalling urllib3-1.23:
      Successfully uninstalled urllib3-1.23
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
2.  92% |############################   | Time: 0:00:00  27.53 MB/s
botocore-1.12.  93% |############################   | Time: 0:00:00  27.60 MB/s
botocore-1.12.  93% |#############################  | Time: 0:00:00  27.66 MB/s
botocore-1.12.  94% |#############################  | Time: 0:00:00  27.73 MB/s
botocore-1.12.  94% |#############################  | Time: 0:00:00  27.80 MB/s
botocore-1.12.  95% |#############################  | Time: 0:00:00  27.87 MB/s
botocore-1.12.  95% |#############################  | Time: 0:00:00  27.94 MB/s
botocore-1.12.  96% |#############################  | Time: 0:00:00  28.01 MB/s
botocore-1.12.  97% |############################## | Time: 0:00:00  28.08 MB/s
botocore-1.12.  97% |############################## | Time: 0:00:00  28.15 MB/s
botocore-1.12.  98% |############################## | Time: 0:00:00  28.23 MB/s
botocore-1.12.  98% |############################## | Time: 0:00:00  28.30 MB/s
botocore-1.12.  99% |############################## | Time: 0:00:00  28.36 MB/s
botocore-1.12.  99% |############################## | Time: 0:00:00  28.43 MB/s
botocore-1.12. 100% |###############################| Time: 0:00:00  28.37 MB/s
botocore-1.12. 100% |###############################| Time: 0:00:00  28.32 MB/s
s3transfer-0.1   0% |                              | ETA:  --:--:--   0.00  B/s
s3transfer-0.1  21% |######                         | Time: 0:00:00  22.32 MB/s
s3transfer-0.1  42% |#############                  | Time: 0:00:00  25.19 MB/s
s3transfer-0.1  63% |###################            | Time: 0:00:00  26.30 MB/s
s3transfer-0.1  84% |##########################     | Time: 0:00:00  26.58 MB/s
s3transfer-0.1 100% |###############################| Time: 0:00:00  25.93 MB/s
s3transfer-0.1 100% |###############################| Time: 0:00:00  23.50 MB/s
boto3-1.9.21-p   0% |                              | ETA:  --:--:--   0.00  B/s
boto3-1.9.21-p  26% |########                       | Time: 0:00:00  22.98 MB/s
boto3-1.9.21-p  52% |################               | Time: 0:00:00  24.51 MB/s
boto3-1.9.21-p  78% |########################       | Time: 0:00:00  25.98 MB/s
boto3-1.9.21-p 100% |###############################| Time: 0:00:00  25.41 MB/s
boto3-1.9.21-p 100% |###############################| Time: 0:00:00  22.32 MB/s
Installing /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages/vega/static -> jupyter-vega
Making directory: /tmp/tmp.4KbM3K2nF3/share/jupyter/nbextensions/jupyter-vega/
Copying: /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages/vega/static/index.js -> /tmp/tmp.4KbM3K2nF3/share/jupyter/nbextensions/jupyter-vega/index.js
Copying: /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages/vega/static/vega.js -> /tmp/tmp.4KbM3K2nF3/share/jupyter/nbextensions/jupyter-vega/vega.js
Copying: /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages/vega/static/vega.html -> /tmp/tmp.4KbM3K2nF3/share/jupyter/nbextensions/jupyter-vega/vega.html
Copying: /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages/vega/static/index.js.map -> /tmp/tmp.4KbM3K2nF3/share/jupyter/nbextensions/jupyter-vega/index.js.map
Copying: /tmp/tmp.4KbM3K2nF3/lib/python3.6/site-packages/vega/static/vega-lite.html -> /tmp/tmp.4KbM3K2nF3/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.4KbM3K2nF3
#
# 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 18.1 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.4KbM3K2nF3/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.4KbM3K2nF3/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 6114937d-a061-4d4c-b3e1-3e50bf066df0, early return
WARNING:root:No user defined overrides for 6114937d-a061-4d4c-b3e1-3e50bf066df0, early return
WARNING:root:No user defined overrides for 6114937d-a061-4d4c-b3e1-3e50bf066df0, early return
.WARNING:root:No user defined overrides for 91b0bae4-8830-4909-8a71-807f3755ac61, early return
WARNING:root:No user defined overrides for 91b0bae4-8830-4909-8a71-807f3755ac61, early return
WARNING:root:No user defined overrides for 91b0bae4-8830-4909-8a71-807f3755ac61, early return
.WARNING:root:No user defined overrides for af93c3dc-893f-489f-8c1a-94bfddc1349a, early return
WARNING:root:No user defined overrides for af93c3dc-893f-489f-8c1a-94bfddc1349a, early return
.WARNING:root:No user defined overrides for 165fc942-a129-40bb-8ba3-45f6d6d721c9, early return
WARNING:root:No user defined overrides for 165fc942-a129-40bb-8ba3-45f6d6d721c9, early return
........................................................................................................................................WARNING:root:Got error None while saving entry AttrDict({'_id': ObjectId('572d3621d282b8f30def7e85'), 'user_id': UUID('6c1439c7-2eb8-4427-96e5-70c9a68b6899'), 'data': {'transition': None, 'currState': 'STATE_ONGOING_TRIP'}, 'metadata': {'plugin': 'none', 'write_ts': 1539644191, 'time_zone': 'America/Los_Angeles', 'platform': 'ios', 'key': 'statemachine/transition', 'read_ts': 1539644189, '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 b2bae185-89d5-4303-8500-8f956c72be29
Setting up real example for bc111e64-eed8-4875-be8c-82e767390c6d
Setting up real example for 4fcd4344-8389-4dce-95fe-122e616208f2
Setting up real example for d19996c1-28da-415b-8388-7775cf71ff24
Setting up real example for 847fe3c5-257d-4542-954b-64061411d550
there are 8
there are 8
there are 8
there are 8
there are 8
there are 8
there are 8
there are 8
there are 8
Setting up real example for 84272839-32e2-42b7-825f-2947293d4804
Setting up real example for 6a4bc22c-f0c2-47d2-9998-53da4336104b
Setting up real example for 2f11fad6-c4cc-4c31-b2f9-e69909b59368
Setting up real example for 4221bb2d-e324-405e-b83e-b901084c3176
Setting up real example for bcdc5bfe-0544-44b3-88f0-38ebd4bb1a42
Setting up real example for 8142d350-daed-4775-a35c-265abe85301d
Setting up real example for 1f07b595-7d7e-4b7c-aa7a-2617d9c4d4f8
Setting up real example for e210780e-bdd5-4863-82d5-2e6c1d30303d
Setting up real example for 9a5e1128-e2a0-47eb-9e2a-6db3bb73914f
Setting up real example for 0cdf49e0-dcad-4819-830f-00ed06431250
Setting up real example for bb8b7dff-6071-4850-afaf-e9aa5c2c0b3a
Setting up real example for fe4ef2f4-4472-4343-9085-9fb60bc28c67
Setting up real example for 7f77f8cb-eecb-478c-a5e5-dc44ab4bd1d4
Setting up real example for 41abdc93-2c4c-445f-a848-fb869bbbfdb7
Setting up real example for 74c34178-ef57-47c5-9913-67d80204c3ed
Setting up real example for 530fb074-7d67-4fad-8faf-c427db33ff25
Setting up real example for 7136dfd4-ef9d-4b63-a7f2-395a1e4455ca
Setting up real example for df40a59c-ac6b-4775-a2cb-3e38a5544f58
Setting up real example for a63ea9ff-4977-4713-b205-47122a7e1baa
Setting up real example for 436ed349-9487-4c04-ae8f-0ce82f4c1c72
Setting up real example for e793dec1-3c85-4b1c-b198-29c5afe3f64a
Setting up real example for a0d060f3-387b-4039-9aa4-4f308bf55104
Setting up real example for 0f73c52a-3aa2-44fd-91d7-ff3afb76ad0c
Setting up real example for 7c611715-4645-46c4-8308-74b45dcadbd7
Setting up real example for 138ff500-3f86-4d66-ba5a-a8d427f64ca2
Setting up real example for c09ed1cb-3832-4a1f-a35a-09e7fa87bdda
Setting up real example for 6fe1c14d-00e1-445a-b619-259ba07987cc
Setting up real example for 7d7f530e-768d-47ce-b8b0-b82b881d8e03
Setting up real example for 638ddbf7-e14a-425b-aa74-f4c6d5b6fc3a
Setting up real example for a38bc469-fb74-46d7-8aa1-10810efd2ad9
Setting up real example for 8cc807b9-be44-4399-a622-7c821cbfad03
Setting up real example for 2e17558d-9989-46df-890d-dec34f7bc048
Setting up real example for cffb1f55-dfc7-479f-80b6-e07d3f14b151
Setting up real example for 28171870-dd5d-4edd-9e70-53c14e1eb413
Setting up real example for 944c2f6b-57db-43a6-9457-2abd38e27957
Setting up real example for e7acc5db-060b-44f8-971b-dd9783f9df41
[ 0.1  0.1]
Setting up real example for cd79a2b4-56f8-4348-b73b-4b906aa89e97
Setting up real example for 86f82667-c932-444c-8a11-dc7d908b8e99
Setting up real example for 5b24c75d-c7d7-4277-8bcc-a8bb7396f999
Setting up real example for b69d38b0-65d6-4a82-8f5e-7be83ce3a267
Setting up real example for fe438066-e30c-424c-8f26-bf61d8dd6917
Setting up real example for c1cd12f6-f956-4b1a-9000-6bf9d312a5ad
Setting up real example for 5dfeb3b1-72b0-4aac-b83b-b2054eff54a3
Setting up real example for e4f00458-8a8f-4b09-b9dc-0c54288232ec
Setting up real example for e96e95c3-376a-4698-8e4d-8628b44aef9e
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 35a39c01-cdd4-40bc-9d20-7f1048867c3e
Setting up real example for 566f5d46-2421-46f9-a442-e9a8ffbac1b9
Setting up real example for b41a1b2d-f83a-4289-8005-66572f580a05
Setting up real example for 2c8c959a-a816-4317-be2b-b2a8594e5737
Setting up real example for d89aeb63-1dfe-444e-952e-105977552769
Setting up real example for be7d348b-b5cb-4290-9b50-3fe6b566798b
Setting up real example for 1ce169b2-6b50-4ac2-85b5-619cd063f341
Setting up real example for ac39e3b1-a545-4eea-8b9f-c62d65fed2de
Setting up real example for 1fc9efdb-6e60-468f-b8df-e17a4b943822
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 1096.516s

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 79c14e7a-55ee-4e35-84ed-dc664f4951c0
Setting up real example for 993aec99-3a9e-43d3-a20f-c9f11cfc1c34
Setting up real example for 57e7a665-280d-4bf4-92a5-82d7d4d2245c
Setting up real example for 298e0f5d-7d96-44f0-a388-2ef868e1747f
Setting up real example for db0bd38d-5e8b-411e-be79-4fc713c4bedd
Setting up real example for dc2a69c0-d227-4d43-a154-6ba98fcd6387
Setting up real example for 66a910c9-bc90-414e-b639-defa19f0ed05
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b14'), 'track_location': {'type': 'Point', 'coordinates': [-122.5, 37.5]}}
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b17'), 'track_location': {'type': 'Point', 'coordinates': [-122.5, 37.5]}}
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b18'), 'track_location': {'type': 'Point', 'coordinates': [-122.259475, 37.87237]}}
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b19'), 'track_location': {'type': 'Point', 'coordinates': [-122.259169, 37.873873]}}
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b1a'), 'track_location': {'type': 'Point', 'coordinates': [-122.25874, 37.875711]}}
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b1b'), 'track_location': {'type': 'Point', 'coordinates': [-122.254577, 37.870352]}}
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b17'), 'track_location': {'type': 'Point', 'coordinates': [-122.5, 37.5]}}
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b18'), 'track_location': {'type': 'Point', 'coordinates': [-122.259475, 37.87237]}}
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b19'), 'track_location': {'type': 'Point', 'coordinates': [-122.259169, 37.873873]}}
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b1a'), 'track_location': {'type': 'Point', 'coordinates': [-122.25874, 37.875711]}}
Found match for {'_id': ObjectId('5bc51bed3df7f653b5f41b1b'), 'track_location': {'type': 'Point', 'coordinates': [-122.254577, 37.870352]}}
Setting up real example for c91bb2fa-fdd5-4baf-aab2-4cd3cd0baede
Setting up real example for ddb7973e-cc07-4a19-af98-343ac503ee88
Setting up real example for bf389573-056c-4719-b553-daa977cad210
Setting up real example for 8ca8748a-b77e-4270-bb6d-aad88b9eb552
Setting up real example for 12999f32-56d8-4fdc-8ec0-b56da8482576
Setting up real example for 0be34199-da63-4d70-bf9b-a786fd0e108c
Setting up real example for 2e1794b6-2ed3-465e-97f5-e6f0fc0fa5da
Setting up real example for bc0a361a-aa06-43cf-9bfa-7fff1e65c7f1
Setting up real example for 9aa99f92-dec8-4898-b22a-d9eedfe70142
Setting up real example for 4992abc5-e09a-42ba-8262-5e119b496651
Setting up real example for 527f3e6a-b824-4b52-928a-0cffb22221e2
Setting up real example for ae6aa38f-9eb9-431e-ad8d-24a7befd7ad7
Setting up real example for 32a90184-bb07-4dbe-8347-12534434180a
Setting up real example for 5236248d-8569-47e3-ae06-5720b9c59860
Setting up real example for c5189d5e-4c9b-4adf-b859-38cbe8647f02
Setting up real example for 4b7490bb-d2f4-4ffc-9117-da7c103566f0
Setting up real example for 63dccd39-0f3d-4cd7-8686-6de80aae33f5
Setting up real example for 14351ff9-5a6d-4415-ace0-a2d0c3f1efad
Setting up real example for aad443d4-34cb-4326-b718-220edbe27721
Setting up real example for 2ee003e3-c33d-4347-8f79-da878bedec6c
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.4KbM3K2nF3/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.4KbM3K2nF3/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.4KbM3K2nF3/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.4KbM3K2nF3/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.4KbM3K2nF3/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.4KbM3K2nF3/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 76.226s

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 ff9cb6a5-6b33-4f1d-b0d6-ada88e84128f
Setting up real example for ea8e6302-3c05-4d47-9ecc-8680d7f1a223
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 41757654-7c8a-4d05-b409-3896b4a8fae4
Setting up real example for 6e0641f5-b6cc-4939-9c9f-49d3b7e597f9
Setting up real example for 7e3e820d-ca62-4a56-8e1f-3c9bb287fcb4
Setting up real example for baaea418-97b0-419c-9651-ea82e48a760b
sys:1: ResourceWarning: unclosed file <_io.TextIOWrapper name='conf/storage/db.conf.sample' mode='r' encoding='UTF-8'>
Removing environment from /tmp/tmp.4KbM3K2nF3

Package plan for package removal in environment /tmp/tmp.4KbM3K2nF3:

The following packages will be REMOVED:

    _license:           1.1-py36_1                      
    alabaster:          0.7.10-py36_0                   
    altair:             1.2.1-py_0           conda-forge
    anaconda:           4.4.0-np112py36_0               
    anaconda-client:    1.6.3-py36_0         conda-forge
    anaconda-navigator: 1.6.2-py36_0                    
    anaconda-project:   0.6.0-py36_0                    
    asn1crypto:         0.22.0-py36_0        conda-forge
    astroid:            1.4.9-py36_0                    
    astropy:            1.3.2-np112py36_0    conda-forge
    babel:              2.4.0-py36_0         conda-forge
    backports:          1.0-py36_0           conda-forge
    beautifulsoup4:     4.6.0-py36_0         conda-forge
    bitarray:           0.8.1-py36_0         conda-forge
    blas:               1.0-mkl                         
    blaze:              0.10.1-py36_0                   
    bleach:             1.5.0-py36_0         conda-forge
    bokeh:              0.12.5-py36_1                   
    boto:               2.46.1-py36_0                   
    boto3:              1.9.21-py_0          conda-forge
    botocore:           1.12.23-py_0         conda-forge
    bottleneck:         1.2.1-np112py36_0    conda-forge
    branca:             0.2.0-py_1           conda-forge
    ca-certificates:    2018.8.24-ha4d7672_0 conda-forge
    cairo:              1.14.8-0                        
    certifi:            2018.8.24-py36_1001  conda-forge
    cffi:               1.10.0-py36_0        conda-forge
    chardet:            3.0.3-py36_0                    
    click:              6.7-py36_0           conda-forge
    cloudpickle:        0.2.2-py36_0                    
    clyent:             1.2.2-py36_0         conda-forge
    colorama:           0.3.9-py36_0         conda-forge
    contextlib2:        0.5.5-py36_0         conda-forge
    cryptography:       1.8.1-py36_0                    
    curl:               7.52.1-0             conda-forge
    cycler:             0.10.0-py36_0        conda-forge
    cython:             0.25.2-py36_0        conda-forge
    cytoolz:            0.8.2-py36_0         conda-forge
    dask:               0.14.3-py36_1                   
    datashape:          0.5.4-py36_0         conda-forge
    dbus:               1.10.10-0            conda-forge
    decorator:          4.0.11-py36_0        conda-forge
    distributed:        1.16.3-py36_0        conda-forge
    docutils:           0.13.1-py36_0        conda-forge
    entrypoints:        0.2.2-py36_1         conda-forge
    et_xmlfile:         1.0.1-py36_0         conda-forge
    expat:              2.1.0-0              conda-forge
    fastcache:          1.0.2-py36_1                    
    flask:              0.12.2-py36_0        conda-forge
    flask-cors:         3.0.2-py36_0                    
    folium:             0.5.0-py_0           conda-forge
    fontconfig:         2.12.1-3                        
    freetype:           2.5.5-2                         
    get_terminal_size:  1.0.0-py36_0                    
    gevent:             1.2.1-py36_0                    
    glib:               2.50.2-1                        
    gmp:                6.1.2-hfc679d8_0     conda-forge
    greenlet:           0.4.12-py36_0        conda-forge
    gst-plugins-base:   1.8.0-0              conda-forge
    gstreamer:          1.8.0-0              conda-forge
    h5py:               2.7.0-np112py36_0    conda-forge
    harfbuzz:           0.9.39-2                        
    hdf5:               1.8.17-1                        
    heapdict:           1.0.0-py36_1                    
    html5lib:           0.999-py36_0         conda-forge
    icu:                54.1-0                          
    idna:               2.5-py36_0           conda-forge
    imageio:            2.3.0-py_1           conda-forge
    imagesize:          0.7.1-py36_0         conda-forge
    ipykernel:          4.6.1-py36_0         conda-forge
    ipython:            5.3.0-py36_0         conda-forge
    ipython_genutils:   0.2.0-py36_0         conda-forge
    ipywidgets:         6.0.0-py36_0         conda-forge
    isort:              4.2.5-py36_0         conda-forge
    itsdangerous:       0.24-py36_0                     
    jbig:               2.1-0                conda-forge
    jdcal:              1.3-py36_0           conda-forge
    jedi:               0.10.2-py36_2                   
    jinja2:             2.9.6-py36_0         conda-forge
    jmespath:           0.9.3-py_1           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              conda-forge
    libgcc-ng:          7.2.0-hdf63c60_3     conda-forge
    libgfortran:        3.0.0-1              conda-forge
    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     conda-forge
    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-py_1           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
    pysocks:            1.6.8-py36_1002      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:               0.1.6-py_0           conda-forge
    s3transfer:         0.1.13-py36_1001     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
    urllib3:            1.23-py36_1001       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:       0.5.1-py_1           conda-forge
    werkzeug:           0.12.2-py36_0        conda-forge
    wheel:              0.29.0-py36_0        conda-forge
    widgetsnbextension: 2.0.0-py36_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
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_6     conda-forge
    xorg-libxdmcp:      1.1.2-h470a237_7     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.4KbM3K2nF3/bin/.vega-pre-unlink.sh: line 1: /tmp/tmp.4KbM3K2nF3/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