SuccessConsole Output

Skipping 2,688 KB.. Full Log
MB/s
scikit-image-0  63% |###################            | Time: 0:00:01  14.58 MB/s
scikit-image-0  63% |###################            | Time: 0:00:01  14.58 MB/s
scikit-image-0  63% |###################            | Time: 0:00:01  14.59 MB/s
scikit-image-0  63% |###################            | Time: 0:00:01  14.59 MB/s
scikit-image-0  63% |###################            | Time: 0:00:01  14.59 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.60 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.60 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.61 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.62 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.63 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.63 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.64 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.65 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.66 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.66 MB/s
scikit-image-0  64% |###################            | Time: 0:00:01  14.67 MB/s
scikit-image-0  64% |####################           | Time: 0:00:01  14.68 MB/s
scikit-image-0  64% |####################           | Time: 0:00:01  14.69 MB/s
scikit-image-0  64% |####################           | Time: 0:00:01  14.69 MB/s
scikit-image-0  64% |####################           | Time: 0:00:01  14.70 MB/s
scikit-image-0  64% |####################           | Time: 0:00:01  14.71 MB/s
scikit-image-0  64% |####################           | Time: 0:00:01  14.72 MB/s
scikit-image-0  64% |####################           | Time: 0:00:01  14.72 MB/s
scikit-image-0  64% |####################           | Time: 0:00:01  14.73 MB/s
scikit-image-0  64% |####################           | Time: 0:00:01  14.74 MB/s
scikit-image-0  64% |####################           | Time: 0:00:01  14.75 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.76 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.76 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.77 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.78 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.79 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.80 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.80 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.81 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.82 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.83 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.84 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.84 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.85 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.86 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.87 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.88 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.89 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.89 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.90 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.91 MB/s
scikit-image-0  65% |####################           | Time: 0:00:01  14.92 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  14.93 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  14.93 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  14.94 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  14.95 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  14.96 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  14.97 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  14.97 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  14.98 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  14.99 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.00 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.01 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.02 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.02 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.03 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.04 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.05 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.06 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.07 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.07 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.08 MB/s
scikit-image-0  66% |####################           | Time: 0:00:01  15.09 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.10 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.11 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.12 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.12 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.13 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.14 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.15 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.16 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.17 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.17 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.18 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.19 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.20 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.21 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.22 MB/s
scikit-image-0  67% |####################           | Time: 0:00:01  15.22 MB/s
scikit-image-0  67% |#####################          | Time: 0:00:01  15.23 MB/s
scikit-image-0  67% |#####################          | Time: 0:00:01  15.24 MB/s
scikit-image-0  67% |#####################          | Time: 0:00:01  15.25 MB/s
scikit-image-0  67% |#####################          | Time: 0:00:01  15.26 MB/s
scikit-image-0  67% |#####################          | Time: 0:00:01  15.27 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  15.27 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  15.28 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  15.08 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.87 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.86 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.86 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.86 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.86 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.85 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.86 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.86 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.86 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.86 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.86 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.87 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.88 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.88 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.89 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.90 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.90 MB/s
scikit-image-0  68% |#####################          | Time: 0:00:01  14.91 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.92 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.93 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.93 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.94 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.95 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.95 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.96 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.97 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.98 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.99 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  14.99 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  15.00 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  15.01 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  15.02 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  15.02 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  15.03 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  15.04 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  15.05 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  15.05 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  15.06 MB/s
scikit-image-0  69% |#####################          | Time: 0:00:01  15.07 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.08 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.08 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.09 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.10 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.11 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.11 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.12 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.13 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.14 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.14 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.15 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.16 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.17 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.18 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.18 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.19 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.20 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.21 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.21 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.22 MB/s
scikit-image-0  70% |#####################          | Time: 0:00:01  15.23 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.24 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.25 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.25 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.26 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.27 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.28 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.28 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.29 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.30 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.31 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.32 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.32 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.33 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.34 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.35 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.36 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.36 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.37 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.38 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.39 MB/s
scikit-image-0  71% |######################         | Time: 0:00:01  15.40 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.40 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.41 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.42 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.43 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.43 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.44 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.45 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.46 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.47 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.47 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.48 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.49 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.50 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.50 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.51 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.52 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.53 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.54 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.36 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.35 MB/s
scikit-image-0  72% |######################         | Time: 0:00:01  15.15 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.14 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.14 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.14 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.14 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.14 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.14 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.14 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.15 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.15 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.15 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.15 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.16 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.17 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.17 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.18 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.19 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.19 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.20 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.20 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.21 MB/s
scikit-image-0  73% |######################         | Time: 0:00:01  15.22 MB/s
scikit-image-0  74% |######################         | Time: 0:00:01  15.22 MB/s
scikit-image-0  74% |######################         | Time: 0:00:01  15.23 MB/s
scikit-image-0  74% |######################         | Time: 0:00:01  15.24 MB/s
scikit-image-0  74% |######################         | Time: 0:00:01  15.25 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.25 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.26 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.27 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.28 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.28 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.29 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.30 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.30 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.31 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.32 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.33 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.33 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.34 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.35 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.35 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.36 MB/s
scikit-image-0  74% |#######################        | Time: 0:00:01  15.37 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.38 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.38 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.39 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.40 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.40 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.41 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.42 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.43 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.43 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.44 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.45 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.45 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.46 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.47 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.48 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.48 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.49 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.50 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.51 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.51 MB/s
scikit-image-0  75% |#######################        | Time: 0:00:01  15.52 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.53 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.54 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.54 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.55 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.56 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.57 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.57 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.58 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.59 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.60 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.60 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.61 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.62 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.63 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.63 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.64 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.65 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.66 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.66 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.67 MB/s
scikit-image-0  76% |#######################        | Time: 0:00:01  15.68 MB/s
scikit-image-0  77% |#######################        | Time: 0:00:01  15.69 MB/s
scikit-image-0  77% |#######################        | Time: 0:00:01  15.69 MB/s
scikit-image-0  77% |#######################        | Time: 0:00:01  15.70 MB/s
scikit-image-0  77% |#######################        | Time: 0:00:01  15.71 MB/s
scikit-image-0  77% |#######################        | Time: 0:00:01  15.72 MB/s
scikit-image-0  77% |#######################        | Time: 0:00:01  15.72 MB/s
scikit-image-0  77% |#######################        | Time: 0:00:01  15.73 MB/s
scikit-image-0  77% |#######################        | Time: 0:00:01  15.74 MB/s
scikit-image-0  77% |#######################        | Time: 0:00:01  15.75 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.75 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.76 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.77 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.78 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.78 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.79 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.80 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.81 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.64 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.64 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.44 MB/s
scikit-image-0  77% |########################       | Time: 0:00:01  15.44 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.43 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.43 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.43 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.43 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.43 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.44 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.44 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.45 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.45 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.46 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.46 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.47 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.47 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.48 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.48 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.49 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.49 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.50 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.51 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.51 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.52 MB/s
scikit-image-0  78% |########################       | Time: 0:00:01  15.53 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.54 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.54 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.55 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.56 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.56 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.57 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.58 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.58 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.59 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.60 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.60 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.61 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.62 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.62 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.63 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.64 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.64 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.65 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.66 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.66 MB/s
scikit-image-0  79% |########################       | Time: 0:00:01  15.67 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.68 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.69 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.69 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.70 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.71 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.71 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.72 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.73 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.73 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.74 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.75 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.75 MB/s
scikit-image-0  80% |########################       | Time: 0:00:01  15.76 MB/s
scikit-image-0  80% |#########################      | Time: 0:00:01  15.77 MB/s
scikit-image-0  80% |#########################      | Time: 0:00:01  15.77 MB/s
scikit-image-0  80% |#########################      | Time: 0:00:01  15.78 MB/s
scikit-image-0  80% |#########################      | Time: 0:00:01  15.79 MB/s
scikit-image-0  80% |#########################      | Time: 0:00:01  15.79 MB/s
scikit-image-0  80% |#########################      | Time: 0:00:01  15.80 MB/s
scikit-image-0  80% |#########################      | Time: 0:00:01  15.81 MB/s
scikit-image-0  80% |#########################      | Time: 0:00:01  15.82 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.82 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.83 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.84 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.84 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.85 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.86 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.87 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.87 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.88 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.89 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.89 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.90 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.91 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.92 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.92 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.93 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.94 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.94 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.95 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.96 MB/s
scikit-image-0  81% |#########################      | Time: 0:00:01  15.97 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  15.97 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  15.98 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  15.99 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  15.99 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.00 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.01 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.01 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.02 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.03 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.04 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.04 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.05 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.06 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.06 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.07 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.08 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.09 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  16.09 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  15.94 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  15.93 MB/s
scikit-image-0  82% |#########################      | Time: 0:00:01  15.93 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.75 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.74 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.73 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.73 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.73 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.73 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.73 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.74 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.74 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.74 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.75 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.75 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.76 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.76 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.77 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.78 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.78 MB/s
scikit-image-0  83% |#########################      | Time: 0:00:01  15.79 MB/s
scikit-image-0  83% |##########################     | Time: 0:00:01  15.79 MB/s
scikit-image-0  83% |##########################     | Time: 0:00:01  15.80 MB/s
scikit-image-0  83% |##########################     | Time: 0:00:01  15.81 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.81 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.82 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.82 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.83 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.83 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.84 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.85 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.85 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.86 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.86 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.87 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.88 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.88 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.89 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.90 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.90 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.91 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.92 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.92 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.93 MB/s
scikit-image-0  84% |##########################     | Time: 0:00:01  15.94 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  15.94 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  15.95 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  15.96 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  15.96 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  15.97 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  15.98 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  15.98 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  15.99 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.00 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.00 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.01 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.01 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.02 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.03 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.03 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.04 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.05 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.05 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.06 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.07 MB/s
scikit-image-0  85% |##########################     | Time: 0:00:01  16.07 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.08 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.09 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.09 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.10 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.11 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.11 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.12 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.13 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.13 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.14 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.15 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.15 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.16 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.17 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.17 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.18 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.19 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.19 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.20 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.21 MB/s
scikit-image-0  86% |##########################     | Time: 0:00:01  16.21 MB/s
scikit-image-0  87% |##########################     | Time: 0:00:01  16.22 MB/s
scikit-image-0  87% |##########################     | Time: 0:00:01  16.23 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.23 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.24 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.25 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.25 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.26 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.27 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.28 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.28 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.29 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.30 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.30 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.31 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.32 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.32 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.33 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.34 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.34 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.35 MB/s
scikit-image-0  87% |###########################    | Time: 0:00:01  16.36 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.36 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.37 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.38 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.38 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.24 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.24 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.24 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.06 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.06 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.05 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.04 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.04 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.04 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.04 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.04 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.04 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.04 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.04 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.05 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.05 MB/s
scikit-image-0  88% |###########################    | Time: 0:00:01  16.05 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.05 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.06 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.06 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.07 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.07 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.08 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.09 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.09 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.10 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.10 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.11 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.11 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.12 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.12 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.13 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.14 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.14 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.15 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.15 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.16 MB/s
scikit-image-0  89% |###########################    | Time: 0:00:01  16.17 MB/s
scikit-image-0  90% |###########################    | Time: 0:00:01  16.17 MB/s
scikit-image-0  90% |###########################    | Time: 0:00:01  16.18 MB/s
scikit-image-0  90% |###########################    | Time: 0:00:01  16.19 MB/s
scikit-image-0  90% |###########################    | Time: 0:00:01  16.19 MB/s
scikit-image-0  90% |###########################    | Time: 0:00:01  16.20 MB/s
scikit-image-0  90% |###########################    | Time: 0:00:01  16.20 MB/s
scikit-image-0  90% |###########################    | Time: 0:00:01  16.21 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.22 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.22 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.23 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.24 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.24 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.25 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.25 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.26 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.27 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.27 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.28 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.28 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.29 MB/s
scikit-image-0  90% |############################   | Time: 0:00:01  16.30 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.30 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.31 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.32 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.32 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.33 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.34 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.34 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.35 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.36 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.36 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.37 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.38 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.38 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.39 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.39 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.40 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.41 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.41 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.42 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.43 MB/s
scikit-image-0  91% |############################   | Time: 0:00:01  16.43 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.44 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.45 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.45 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.46 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.47 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.47 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.48 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.48 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.49 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.50 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.50 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.51 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.52 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.52 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.53 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.54 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.54 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.55 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.56 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.56 MB/s
scikit-image-0  92% |############################   | Time: 0:00:01  16.57 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.57 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.58 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.59 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.59 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.60 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.61 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.61 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.62 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.63 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.63 MB/s
scikit-image-0  93% |############################   | Time: 0:00:01  16.64 MB/s
scikit-image-0  93% |#############################  | Time: 0:00:01  16.65 MB/s
scikit-image-0  93% |#############################  | Time: 0:00:01  16.65 MB/s
scikit-image-0  93% |#############################  | Time: 0:00:01  16.66 MB/s
scikit-image-0  93% |#############################  | Time: 0:00:01  16.66 MB/s
scikit-image-0  93% |#############################  | Time: 0:00:01  16.56 MB/s
scikit-image-0  93% |#############################  | Time: 0:00:01  16.56 MB/s
scikit-image-0  93% |#############################  | Time: 0:00:01  16.56 MB/s
scikit-image-0  93% |#############################  | Time: 0:00:01  16.56 MB/s
scikit-image-0  93% |#############################  | Time: 0:00:01  16.38 MB/s
scikit-image-0  93% |#############################  | Time: 0:00:01  16.38 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.37 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.37 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.37 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.36 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.36 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.36 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.36 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.36 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.37 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.37 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.38 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.38 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.39 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.39 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.40 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.40 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.41 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.42 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.42 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.43 MB/s
scikit-image-0  94% |#############################  | Time: 0:00:01  16.43 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.44 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.44 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.45 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.45 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.46 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.46 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.47 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.47 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.48 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.49 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.49 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.50 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.50 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.51 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.51 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.52 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.53 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.53 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.54 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.54 MB/s
scikit-image-0  95% |#############################  | Time: 0:00:01  16.55 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:01  16.56 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:01  16.56 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:01  16.57 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:01  16.57 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:01  16.58 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:01  16.59 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:01  16.59 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:01  16.60 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:02  16.60 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:02  16.61 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:02  16.61 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:02  16.62 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:02  16.63 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:02  16.63 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:02  16.64 MB/s
scikit-image-0  96% |#############################  | Time: 0:00:02  16.64 MB/s
scikit-image-0  96% |############################## | Time: 0:00:02  16.65 MB/s
scikit-image-0  96% |############################## | Time: 0:00:02  16.65 MB/s
scikit-image-0  96% |############################## | Time: 0:00:02  16.66 MB/s
scikit-image-0  96% |############################## | Time: 0:00:02  16.67 MB/s
scikit-image-0  96% |############################## | Time: 0:00:02  16.67 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.68 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.69 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.69 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.70 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.70 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.71 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.72 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.72 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.73 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.74 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.74 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.75 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.75 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.76 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.77 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.77 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.78 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.78 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.79 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.80 MB/s
scikit-image-0  97% |############################## | Time: 0:00:02  16.80 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.81 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.82 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.82 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.83 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.83 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.84 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.85 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.85 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.86 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.86 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.87 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.88 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.88 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.89 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.90 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.90 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.91 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.91 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.92 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.93 MB/s
scikit-image-0  98% |############################## | Time: 0:00:02  16.93 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.94 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.94 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.95 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.96 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.96 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.97 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.97 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.98 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.99 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.89 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.88 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.88 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.88 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.72 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.71 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.71 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.70 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.70 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.70 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.69 MB/s
scikit-image-0  99% |############################## | Time: 0:00:02  16.70 MB/s
scikit-image-0 100% |###############################| Time: 0:00:02  16.70 MB/s
scikit-image-0 100% |###############################| Time: 0:00:02  16.69 MB/s
seaborn-0.7.1-   0% |                              | ETA:  --:--:--   0.00  B/s
seaborn-0.7.1-   5% |#                              | Time: 0:00:00  17.73 MB/s
seaborn-0.7.1-  11% |###                            | Time: 0:00:00  20.09 MB/s
seaborn-0.7.1-  17% |#####                          | Time: 0:00:00  20.83 MB/s
seaborn-0.7.1-  23% |#######                        | Time: 0:00:00  21.15 MB/s
seaborn-0.7.1-  29% |#########                      | Time: 0:00:00  21.44 MB/s
seaborn-0.7.1-  34% |##########                     | Time: 0:00:00  21.71 MB/s
seaborn-0.7.1-  40% |############                   | Time: 0:00:00  20.16 MB/s
seaborn-0.7.1-  46% |##############                 | Time: 0:00:00  19.71 MB/s
seaborn-0.7.1-  52% |################               | Time: 0:00:00  19.95 MB/s
seaborn-0.7.1-  58% |##################             | Time: 0:00:00  20.25 MB/s
seaborn-0.7.1-  63% |###################            | Time: 0:00:00  20.50 MB/s
seaborn-0.7.1-  69% |#####################          | Time: 0:00:00  20.69 MB/s
seaborn-0.7.1-  75% |#######################        | Time: 0:00:00  20.88 MB/s
seaborn-0.7.1-  81% |#########################      | Time: 0:00:00  21.21 MB/s
seaborn-0.7.1-  87% |###########################    | Time: 0:00:00  21.77 MB/s
seaborn-0.7.1-  93% |############################   | Time: 0:00:00  22.57 MB/s
seaborn-0.7.1-  98% |############################## | Time: 0:00:00  23.34 MB/s
seaborn-0.7.1- 100% |###############################| Time: 0:00:00  23.10 MB/s
seaborn-0.7.1- 100% |###############################| Time: 0:00:00  22.77 MB/s
distributed-1.   0% |                              | ETA:  --:--:--   0.00  B/s
distributed-1.   2% |                               | Time: 0:00:00  18.85 MB/s
distributed-1.   5% |#                              | Time: 0:00:00  20.87 MB/s
distributed-1.   8% |##                             | Time: 0:00:00  21.39 MB/s
distributed-1.  11% |###                            | Time: 0:00:00  21.74 MB/s
distributed-1.  14% |####                           | Time: 0:00:00  21.82 MB/s
distributed-1.  17% |#####                          | Time: 0:00:00  22.03 MB/s
distributed-1.  20% |######                         | Time: 0:00:00  22.19 MB/s
distributed-1.  23% |#######                        | Time: 0:00:00   5.28 MB/s
distributed-1.  25% |########                       | Time: 0:00:00   5.70 MB/s
distributed-1.  28% |########                       | Time: 0:00:00   6.09 MB/s
distributed-1.  31% |#########                      | Time: 0:00:00   6.43 MB/s
distributed-1.  34% |##########                     | Time: 0:00:00   6.83 MB/s
distributed-1.  37% |###########                    | Time: 0:00:00   7.22 MB/s
distributed-1.  40% |############                   | Time: 0:00:00   7.59 MB/s
distributed-1.  43% |#############                  | Time: 0:00:00   7.94 MB/s
distributed-1.  46% |##############                 | Time: 0:00:00   8.28 MB/s
distributed-1.  49% |###############                | Time: 0:00:00   8.61 MB/s
distributed-1.  51% |################               | Time: 0:00:00   8.92 MB/s
distributed-1.  54% |#################              | Time: 0:00:00   9.22 MB/s
distributed-1.  57% |#################              | Time: 0:00:00   9.51 MB/s
distributed-1.  60% |##################             | Time: 0:00:00   9.78 MB/s
distributed-1.  63% |###################            | Time: 0:00:00  10.13 MB/s
distributed-1.  66% |####################           | Time: 0:00:00  10.50 MB/s
distributed-1.  69% |#####################          | Time: 0:00:00  10.86 MB/s
distributed-1.  72% |######################         | Time: 0:00:00  11.21 MB/s
distributed-1.  75% |#######################        | Time: 0:00:00  11.56 MB/s
distributed-1.  77% |########################       | Time: 0:00:00  11.90 MB/s
distributed-1.  80% |#########################      | Time: 0:00:00  12.24 MB/s
distributed-1.  83% |#########################      | Time: 0:00:00  12.57 MB/s
distributed-1.  86% |##########################     | Time: 0:00:00  12.89 MB/s
distributed-1.  89% |###########################    | Time: 0:00:00  13.21 MB/s
distributed-1.  92% |############################   | Time: 0:00:00  13.52 MB/s
distributed-1.  95% |#############################  | Time: 0:00:00  13.83 MB/s
distributed-1.  98% |############################## | Time: 0:00:00  14.13 MB/s
distributed-1. 100% |###############################| Time: 0:00:00  14.31 MB/s
distributed-1. 100% |###############################| Time: 0:00:00  14.24 MB/s
spyder-3.1.4-p   0% |                              | ETA:  --:--:--   0.00  B/s
spyder-3.1.4-p   0% |                               | Time: 0:00:00  14.53 MB/s
spyder-3.1.4-p   0% |                               | Time: 0:00:00  15.00 MB/s
spyder-3.1.4-p   1% |                               | Time: 0:00:00  14.95 MB/s
spyder-3.1.4-p   1% |                               | Time: 0:00:00  14.53 MB/s
spyder-3.1.4-p   2% |                               | Time: 0:00:00  14.85 MB/s
spyder-3.1.4-p   2% |                               | Time: 0:00:00  15.06 MB/s
spyder-3.1.4-p   3% |#                              | Time: 0:00:00  15.17 MB/s
spyder-3.1.4-p   3% |#                              | Time: 0:00:00  15.15 MB/s
spyder-3.1.4-p   4% |#                              | Time: 0:00:00  15.20 MB/s
spyder-3.1.4-p   4% |#                              | Time: 0:00:00  15.99 MB/s
spyder-3.1.4-p   5% |#                              | Time: 0:00:00  16.93 MB/s
spyder-3.1.4-p   5% |#                              | Time: 0:00:00  17.81 MB/s
spyder-3.1.4-p   6% |#                              | Time: 0:00:00  18.56 MB/s
spyder-3.1.4-p   6% |##                             | Time: 0:00:00  19.40 MB/s
spyder-3.1.4-p   7% |##                             | Time: 0:00:00  20.17 MB/s
spyder-3.1.4-p   7% |##                             | Time: 0:00:00  20.84 MB/s
spyder-3.1.4-p   8% |##                             | Time: 0:00:00  21.48 MB/s
spyder-3.1.4-p   8% |##                             | Time: 0:00:00  22.07 MB/s
spyder-3.1.4-p   9% |##                             | Time: 0:00:00  22.60 MB/s
spyder-3.1.4-p   9% |##                             | Time: 0:00:00  23.10 MB/s
spyder-3.1.4-p   9% |###                            | Time: 0:00:00  23.60 MB/s
spyder-3.1.4-p  10% |###                            | Time: 0:00:00  24.09 MB/s
spyder-3.1.4-p  10% |###                            | Time: 0:00:00  24.62 MB/s
spyder-3.1.4-p  11% |###                            | Time: 0:00:00  25.23 MB/s
spyder-3.1.4-p  11% |###                            | Time: 0:00:00  25.86 MB/s
spyder-3.1.4-p  12% |###                            | Time: 0:00:00  26.47 MB/s
spyder-3.1.4-p  12% |###                            | Time: 0:00:00  27.06 MB/s
spyder-3.1.4-p  13% |####                           | Time: 0:00:00  27.64 MB/s
spyder-3.1.4-p  13% |####                           | Time: 0:00:00  28.20 MB/s
spyder-3.1.4-p  14% |####                           | Time: 0:00:00  28.73 MB/s
spyder-3.1.4-p  14% |####                           | Time: 0:00:00  29.31 MB/s
spyder-3.1.4-p  15% |####                           | Time: 0:00:00  29.85 MB/s
spyder-3.1.4-p  15% |####                           | Time: 0:00:00  30.33 MB/s
spyder-3.1.4-p  16% |#####                          | Time: 0:00:00  30.81 MB/s
spyder-3.1.4-p  16% |#####                          | Time: 0:00:00  31.28 MB/s
spyder-3.1.4-p  17% |#####                          | Time: 0:00:00  31.74 MB/s
spyder-3.1.4-p  17% |#####                          | Time: 0:00:00  32.18 MB/s
spyder-3.1.4-p  18% |#####                          | Time: 0:00:00  32.62 MB/s
spyder-3.1.4-p  18% |#####                          | Time: 0:00:00  33.03 MB/s
spyder-3.1.4-p  19% |#####                          | Time: 0:00:00  33.44 MB/s
spyder-3.1.4-p  19% |######                         | Time: 0:00:00  33.87 MB/s
spyder-3.1.4-p  19% |######                         | Time: 0:00:00  34.28 MB/s
spyder-3.1.4-p  20% |######                         | Time: 0:00:00  34.69 MB/s
spyder-3.1.4-p  20% |######                         | Time: 0:00:00  35.09 MB/s
spyder-3.1.4-p  21% |######                         | Time: 0:00:00  35.47 MB/s
spyder-3.1.4-p  21% |######                         | Time: 0:00:00  35.85 MB/s
spyder-3.1.4-p  22% |######                         | Time: 0:00:00  36.23 MB/s
spyder-3.1.4-p  22% |#######                        | Time: 0:00:00  36.59 MB/s
spyder-3.1.4-p  23% |#######                        | Time: 0:00:00  36.95 MB/s
spyder-3.1.4-p  23% |#######                        | Time: 0:00:00  37.28 MB/s
spyder-3.1.4-p  24% |#######                        | Time: 0:00:00  37.62 MB/s
spyder-3.1.4-p  24% |#######                        | Time: 0:00:00  37.97 MB/s
spyder-3.1.4-p  25% |#######                        | Time: 0:00:00  38.29 MB/s
spyder-3.1.4-p  25% |#######                        | Time: 0:00:00  38.61 MB/s
spyder-3.1.4-p  26% |########                       | Time: 0:00:00  38.93 MB/s
spyder-3.1.4-p  26% |########                       | Time: 0:00:00  39.24 MB/s
spyder-3.1.4-p  27% |########                       | Time: 0:00:00  39.54 MB/s
spyder-3.1.4-p  27% |########                       | Time: 0:00:00  39.84 MB/s
spyder-3.1.4-p  28% |########                       | Time: 0:00:00  40.13 MB/s
spyder-3.1.4-p  28% |########                       | Time: 0:00:00  40.41 MB/s
spyder-3.1.4-p  29% |#########                      | Time: 0:00:00  40.66 MB/s
spyder-3.1.4-p  29% |#########                      | Time: 0:00:00  40.93 MB/s
spyder-3.1.4-p  29% |#########                      | Time: 0:00:00  41.20 MB/s
spyder-3.1.4-p  30% |#########                      | Time: 0:00:00  41.47 MB/s
spyder-3.1.4-p  30% |#########                      | Time: 0:00:00  41.72 MB/s
spyder-3.1.4-p  31% |#########                      | Time: 0:00:00  41.97 MB/s
spyder-3.1.4-p  31% |#########                      | Time: 0:00:00  42.12 MB/s
spyder-3.1.4-p  32% |##########                     | Time: 0:00:00  42.36 MB/s
spyder-3.1.4-p  32% |##########                     | Time: 0:00:00  42.58 MB/s
spyder-3.1.4-p  33% |##########                     | Time: 0:00:00  42.83 MB/s
spyder-3.1.4-p  33% |##########                     | Time: 0:00:00  43.05 MB/s
spyder-3.1.4-p  34% |##########                     | Time: 0:00:00  43.28 MB/s
spyder-3.1.4-p  34% |##########                     | Time: 0:00:00  43.50 MB/s
spyder-3.1.4-p  35% |##########                     | Time: 0:00:00  43.66 MB/s
spyder-3.1.4-p  35% |###########                    | Time: 0:00:00  43.83 MB/s
spyder-3.1.4-p  36% |###########                    | Time: 0:00:00  44.05 MB/s
spyder-3.1.4-p  36% |###########                    | Time: 0:00:00  44.23 MB/s
spyder-3.1.4-p  37% |###########                    | Time: 0:00:00  44.35 MB/s
spyder-3.1.4-p  37% |###########                    | Time: 0:00:00  44.55 MB/s
spyder-3.1.4-p  38% |###########                    | Time: 0:00:00  44.75 MB/s
spyder-3.1.4-p  38% |###########                    | Time: 0:00:00  44.95 MB/s
spyder-3.1.4-p  39% |############                   | Time: 0:00:00  45.13 MB/s
spyder-3.1.4-p  39% |############                   | Time: 0:00:00  45.31 MB/s
spyder-3.1.4-p  39% |############                   | Time: 0:00:00  45.50 MB/s
spyder-3.1.4-p  40% |############                   | Time: 0:00:00  45.66 MB/s
spyder-3.1.4-p  40% |############                   | Time: 0:00:00  45.84 MB/s
spyder-3.1.4-p  41% |############                   | Time: 0:00:00  46.02 MB/s
spyder-3.1.4-p  41% |############                   | Time: 0:00:00  46.20 MB/s
spyder-3.1.4-p  42% |#############                  | Time: 0:00:00  46.37 MB/s
spyder-3.1.4-p  42% |#############                  | Time: 0:00:00  46.55 MB/s
spyder-3.1.4-p  43% |#############                  | Time: 0:00:00  46.72 MB/s
spyder-3.1.4-p  43% |#############                  | Time: 0:00:00  46.89 MB/s
spyder-3.1.4-p  44% |#############                  | Time: 0:00:00  47.03 MB/s
spyder-3.1.4-p  44% |#############                  | Time: 0:00:00  47.19 MB/s
spyder-3.1.4-p  45% |##############                 | Time: 0:00:00  47.35 MB/s
spyder-3.1.4-p  45% |##############                 | Time: 0:00:00  47.51 MB/s
spyder-3.1.4-p  46% |##############                 | Time: 0:00:00  47.66 MB/s
spyder-3.1.4-p  46% |##############                 | Time: 0:00:00  47.82 MB/s
spyder-3.1.4-p  47% |##############                 | Time: 0:00:00  47.97 MB/s
spyder-3.1.4-p  47% |##############                 | Time: 0:00:00  48.11 MB/s
spyder-3.1.4-p  48% |##############                 | Time: 0:00:00  48.26 MB/s
spyder-3.1.4-p  48% |###############                | Time: 0:00:00  48.41 MB/s
spyder-3.1.4-p  49% |###############                | Time: 0:00:00  48.55 MB/s
spyder-3.1.4-p  49% |###############                | Time: 0:00:00  48.69 MB/s
spyder-3.1.4-p  49% |###############                | Time: 0:00:00  48.84 MB/s
spyder-3.1.4-p  50% |###############                | Time: 0:00:00  48.97 MB/s
spyder-3.1.4-p  50% |###############                | Time: 0:00:00  49.11 MB/s
spyder-3.1.4-p  51% |###############                | Time: 0:00:00  49.24 MB/s
spyder-3.1.4-p  51% |################               | Time: 0:00:00  49.35 MB/s
spyder-3.1.4-p  52% |################               | Time: 0:00:00  49.47 MB/s
spyder-3.1.4-p  52% |################               | Time: 0:00:00  49.60 MB/s
spyder-3.1.4-p  53% |################               | Time: 0:00:00  49.73 MB/s
spyder-3.1.4-p  53% |################               | Time: 0:00:00  49.85 MB/s
spyder-3.1.4-p  54% |################               | Time: 0:00:00  49.98 MB/s
spyder-3.1.4-p  54% |################               | Time: 0:00:00  24.24 MB/s
spyder-3.1.4-p  55% |#################              | Time: 0:00:00  24.17 MB/s
spyder-3.1.4-p  55% |#################              | Time: 0:00:00  24.17 MB/s
spyder-3.1.4-p  56% |#################              | Time: 0:00:00  24.13 MB/s
spyder-3.1.4-p  56% |#################              | Time: 0:00:00  24.10 MB/s
spyder-3.1.4-p  57% |#################              | Time: 0:00:00  24.05 MB/s
spyder-3.1.4-p  57% |#################              | Time: 0:00:00  23.98 MB/s
spyder-3.1.4-p  58% |##################             | Time: 0:00:00  23.91 MB/s
spyder-3.1.4-p  58% |##################             | Time: 0:00:00  23.85 MB/s
spyder-3.1.4-p  59% |##################             | Time: 0:00:00  23.79 MB/s
spyder-3.1.4-p  59% |##################             | Time: 0:00:00  23.74 MB/s
spyder-3.1.4-p  59% |##################             | Time: 0:00:00  23.67 MB/s
spyder-3.1.4-p  60% |##################             | Time: 0:00:00  23.58 MB/s
spyder-3.1.4-p  60% |##################             | Time: 0:00:00  23.52 MB/s
spyder-3.1.4-p  61% |###################            | Time: 0:00:00  23.49 MB/s
spyder-3.1.4-p  61% |###################            | Time: 0:00:00  23.58 MB/s
spyder-3.1.4-p  62% |###################            | Time: 0:00:00  23.66 MB/s
spyder-3.1.4-p  62% |###################            | Time: 0:00:00  23.74 MB/s
spyder-3.1.4-p  63% |###################            | Time: 0:00:00  23.83 MB/s
spyder-3.1.4-p  63% |###################            | Time: 0:00:00  23.90 MB/s
spyder-3.1.4-p  64% |###################            | Time: 0:00:00  23.99 MB/s
spyder-3.1.4-p  64% |####################           | Time: 0:00:00  24.07 MB/s
spyder-3.1.4-p  65% |####################           | Time: 0:00:00  24.14 MB/s
spyder-3.1.4-p  65% |####################           | Time: 0:00:00  24.22 MB/s
spyder-3.1.4-p  66% |####################           | Time: 0:00:00  24.32 MB/s
spyder-3.1.4-p  66% |####################           | Time: 0:00:00  24.41 MB/s
spyder-3.1.4-p  67% |####################           | Time: 0:00:00  24.50 MB/s
spyder-3.1.4-p  67% |####################           | Time: 0:00:00  24.59 MB/s
spyder-3.1.4-p  68% |#####################          | Time: 0:00:00  24.68 MB/s
spyder-3.1.4-p  68% |#####################          | Time: 0:00:00  24.78 MB/s
spyder-3.1.4-p  69% |#####################          | Time: 0:00:00  24.86 MB/s
spyder-3.1.4-p  69% |#####################          | Time: 0:00:00  24.96 MB/s
spyder-3.1.4-p  69% |#####################          | Time: 0:00:00  25.06 MB/s
spyder-3.1.4-p  70% |#####################          | Time: 0:00:00  25.16 MB/s
spyder-3.1.4-p  70% |#####################          | Time: 0:00:00  25.27 MB/s
spyder-3.1.4-p  71% |######################         | Time: 0:00:00  25.37 MB/s
spyder-3.1.4-p  71% |######################         | Time: 0:00:00  25.48 MB/s
spyder-3.1.4-p  72% |######################         | Time: 0:00:00  25.58 MB/s
spyder-3.1.4-p  72% |######################         | Time: 0:00:00  25.69 MB/s
spyder-3.1.4-p  73% |######################         | Time: 0:00:00  25.79 MB/s
spyder-3.1.4-p  73% |######################         | Time: 0:00:00  25.89 MB/s
spyder-3.1.4-p  74% |#######################        | Time: 0:00:00  26.00 MB/s
spyder-3.1.4-p  74% |#######################        | Time: 0:00:00  26.09 MB/s
spyder-3.1.4-p  75% |#######################        | Time: 0:00:00  26.20 MB/s
spyder-3.1.4-p  75% |#######################        | Time: 0:00:00  26.30 MB/s
spyder-3.1.4-p  76% |#######################        | Time: 0:00:00  26.40 MB/s
spyder-3.1.4-p  76% |#######################        | Time: 0:00:00  26.49 MB/s
spyder-3.1.4-p  77% |#######################        | Time: 0:00:00  26.60 MB/s
spyder-3.1.4-p  77% |########################       | Time: 0:00:00  26.70 MB/s
spyder-3.1.4-p  78% |########################       | Time: 0:00:00  26.79 MB/s
spyder-3.1.4-p  78% |########################       | Time: 0:00:00  26.89 MB/s
spyder-3.1.4-p  79% |########################       | Time: 0:00:00  26.99 MB/s
spyder-3.1.4-p  79% |########################       | Time: 0:00:00  27.08 MB/s
spyder-3.1.4-p  79% |########################       | Time: 0:00:00  27.18 MB/s
spyder-3.1.4-p  80% |########################       | Time: 0:00:00  27.28 MB/s
spyder-3.1.4-p  80% |#########################      | Time: 0:00:00  27.37 MB/s
spyder-3.1.4-p  81% |#########################      | Time: 0:00:00  27.46 MB/s
spyder-3.1.4-p  81% |#########################      | Time: 0:00:00  27.55 MB/s
spyder-3.1.4-p  82% |#########################      | Time: 0:00:00  27.65 MB/s
spyder-3.1.4-p  82% |#########################      | Time: 0:00:00  27.74 MB/s
spyder-3.1.4-p  83% |#########################      | Time: 0:00:00  27.83 MB/s
spyder-3.1.4-p  83% |#########################      | Time: 0:00:00  27.92 MB/s
spyder-3.1.4-p  84% |##########################     | Time: 0:00:00  28.00 MB/s
spyder-3.1.4-p  84% |##########################     | Time: 0:00:00  28.10 MB/s
spyder-3.1.4-p  85% |##########################     | Time: 0:00:00  28.19 MB/s
spyder-3.1.4-p  85% |##########################     | Time: 0:00:00  28.28 MB/s
spyder-3.1.4-p  86% |##########################     | Time: 0:00:00  28.37 MB/s
spyder-3.1.4-p  86% |##########################     | Time: 0:00:00  28.46 MB/s
spyder-3.1.4-p  87% |###########################    | Time: 0:00:00  28.55 MB/s
spyder-3.1.4-p  87% |###########################    | Time: 0:00:00  28.64 MB/s
spyder-3.1.4-p  88% |###########################    | Time: 0:00:00  28.73 MB/s
spyder-3.1.4-p  88% |###########################    | Time: 0:00:00  28.82 MB/s
spyder-3.1.4-p  89% |###########################    | Time: 0:00:00  28.91 MB/s
spyder-3.1.4-p  89% |###########################    | Time: 0:00:00  29.00 MB/s
spyder-3.1.4-p  89% |###########################    | Time: 0:00:00  29.09 MB/s
spyder-3.1.4-p  90% |############################   | Time: 0:00:00  29.18 MB/s
spyder-3.1.4-p  90% |############################   | Time: 0:00:00  29.26 MB/s
spyder-3.1.4-p  91% |############################   | Time: 0:00:00  29.35 MB/s
spyder-3.1.4-p  91% |############################   | Time: 0:00:00  29.44 MB/s
spyder-3.1.4-p  92% |############################   | Time: 0:00:00  29.52 MB/s
spyder-3.1.4-p  92% |############################   | Time: 0:00:00  29.61 MB/s
spyder-3.1.4-p  93% |############################   | Time: 0:00:00  29.70 MB/s
spyder-3.1.4-p  93% |#############################  | Time: 0:00:00  29.78 MB/s
spyder-3.1.4-p  94% |#############################  | Time: 0:00:00  29.87 MB/s
spyder-3.1.4-p  94% |#############################  | Time: 0:00:00  29.96 MB/s
spyder-3.1.4-p  95% |#############################  | Time: 0:00:00  30.04 MB/s
spyder-3.1.4-p  95% |#############################  | Time: 0:00:00  30.13 MB/s
spyder-3.1.4-p  96% |#############################  | Time: 0:00:00  30.21 MB/s
spyder-3.1.4-p  96% |#############################  | Time: 0:00:00  30.29 MB/s
spyder-3.1.4-p  97% |############################## | Time: 0:00:00  30.37 MB/s
spyder-3.1.4-p  97% |############################## | Time: 0:00:00  30.46 MB/s
spyder-3.1.4-p  98% |############################## | Time: 0:00:00  30.54 MB/s
spyder-3.1.4-p  98% |############################## | Time: 0:00:00  30.62 MB/s
spyder-3.1.4-p  99% |############################## | Time: 0:00:00  30.70 MB/s
spyder-3.1.4-p  99% |############################## | Time: 0:00:00  30.78 MB/s
spyder-3.1.4-p  99% |############################## | Time: 0:00:00  30.87 MB/s
spyder-3.1.4-p 100% |###############################| Time: 0:00:00  30.82 MB/s
spyder-3.1.4-p 100% |###############################| Time: 0:00:00  30.78 MB/s
vega-0.4.4-py3   0% |                              | ETA:  --:--:--   0.00  B/s
vega-0.4.4-py3   1% |                               | Time: 0:00:00  12.23 MB/s
vega-0.4.4-py3   3% |#                              | Time: 0:00:00  14.05 MB/s
vega-0.4.4-py3   5% |#                              | Time: 0:00:00  14.05 MB/s
vega-0.4.4-py3   6% |##                             | Time: 0:00:00  14.23 MB/s
vega-0.4.4-py3   8% |##                             | Time: 0:00:00  14.48 MB/s
vega-0.4.4-py3  10% |###                            | Time: 0:00:00  14.87 MB/s
vega-0.4.4-py3  11% |###                            | Time: 0:00:00  15.61 MB/s
vega-0.4.4-py3  13% |####                           | Time: 0:00:00  16.22 MB/s
vega-0.4.4-py3  15% |####                           | Time: 0:00:00  17.49 MB/s
vega-0.4.4-py3  17% |#####                          | Time: 0:00:00  18.71 MB/s
vega-0.4.4-py3  18% |#####                          | Time: 0:00:00  19.85 MB/s
vega-0.4.4-py3  20% |######                         | Time: 0:00:00  20.91 MB/s
vega-0.4.4-py3  22% |######                         | Time: 0:00:00  21.91 MB/s
vega-0.4.4-py3  23% |#######                        | Time: 0:00:00  22.82 MB/s
vega-0.4.4-py3  25% |#######                        | Time: 0:00:00  23.70 MB/s
vega-0.4.4-py3  27% |########                       | Time: 0:00:00  24.51 MB/s
vega-0.4.4-py3  29% |########                       | Time: 0:00:00  25.28 MB/s
vega-0.4.4-py3  30% |#########                      | Time: 0:00:00  26.09 MB/s
vega-0.4.4-py3  32% |##########                     | Time: 0:00:00  26.82 MB/s
vega-0.4.4-py3  34% |##########                     | Time: 0:00:00  27.48 MB/s
vega-0.4.4-py3  35% |###########                    | Time: 0:00:00  28.08 MB/s
vega-0.4.4-py3  37% |###########                    | Time: 0:00:00  28.68 MB/s
vega-0.4.4-py3  39% |############                   | Time: 0:00:00  29.22 MB/s
vega-0.4.4-py3  40% |############                   | Time: 0:00:00  29.88 MB/s
vega-0.4.4-py3  42% |#############                  | Time: 0:00:00  30.52 MB/s
vega-0.4.4-py3  44% |#############                  | Time: 0:00:00  31.16 MB/s
vega-0.4.4-py3  46% |##############                 | Time: 0:00:00  31.77 MB/s
vega-0.4.4-py3  47% |##############                 | Time: 0:00:00  32.36 MB/s
vega-0.4.4-py3  49% |###############                | Time: 0:00:00  32.96 MB/s
vega-0.4.4-py3  51% |###############                | Time: 0:00:00  33.53 MB/s
vega-0.4.4-py3  52% |################               | Time: 0:00:00  34.09 MB/s
vega-0.4.4-py3  54% |################               | Time: 0:00:00  34.57 MB/s
vega-0.4.4-py3  56% |#################              | Time: 0:00:00  35.05 MB/s
vega-0.4.4-py3  58% |#################              | Time: 0:00:00  35.53 MB/s
vega-0.4.4-py3  59% |##################             | Time: 0:00:00  36.07 MB/s
vega-0.4.4-py3  61% |###################            | Time: 0:00:00  36.50 MB/s
vega-0.4.4-py3  63% |###################            | Time: 0:00:00  36.98 MB/s
vega-0.4.4-py3  64% |####################           | Time: 0:00:00  37.40 MB/s
vega-0.4.4-py3  66% |####################           | Time: 0:00:00  37.82 MB/s
vega-0.4.4-py3  68% |#####################          | Time: 0:00:00  38.21 MB/s
vega-0.4.4-py3  69% |#####################          | Time: 0:00:00  38.60 MB/s
vega-0.4.4-py3  71% |######################         | Time: 0:00:00  38.98 MB/s
vega-0.4.4-py3  73% |######################         | Time: 0:00:00  39.36 MB/s
vega-0.4.4-py3  75% |#######################        | Time: 0:00:00  39.72 MB/s
vega-0.4.4-py3  76% |#######################        | Time: 0:00:00  40.07 MB/s
vega-0.4.4-py3  78% |########################       | Time: 0:00:00  40.42 MB/s
vega-0.4.4-py3  80% |########################       | Time: 0:00:00  40.75 MB/s
vega-0.4.4-py3  81% |#########################      | Time: 0:00:00  41.11 MB/s
vega-0.4.4-py3  83% |#########################      | Time: 0:00:00  41.42 MB/s
vega-0.4.4-py3  85% |##########################     | Time: 0:00:00  41.74 MB/s
vega-0.4.4-py3  87% |##########################     | Time: 0:00:00  42.04 MB/s
vega-0.4.4-py3  88% |###########################    | Time: 0:00:00  42.38 MB/s
vega-0.4.4-py3  90% |############################   | Time: 0:00:00  42.69 MB/s
vega-0.4.4-py3  92% |############################   | Time: 0:00:00  42.98 MB/s
vega-0.4.4-py3  93% |#############################  | Time: 0:00:00  43.25 MB/s
vega-0.4.4-py3  95% |#############################  | Time: 0:00:00  43.52 MB/s
vega-0.4.4-py3  97% |############################## | Time: 0:00:00  43.78 MB/s
vega-0.4.4-py3  98% |############################## | Time: 0:00:00  44.04 MB/s
vega-0.4.4-py3 100% |###############################| Time: 0:00:00  44.04 MB/s
vega-0.4.4-py3 100% |###############################| Time: 0:00:00  43.76 MB/s
widgetsnbexten   0% |                              | ETA:  --:--:--   0.00  B/s
widgetsnbexten   1% |                               | Time: 0:00:00  13.24 MB/s
widgetsnbexten   3% |#                              | Time: 0:00:00  14.32 MB/s
widgetsnbexten   5% |#                              | Time: 0:00:00  14.53 MB/s
widgetsnbexten   7% |##                             | Time: 0:00:00  14.48 MB/s
widgetsnbexten   9% |##                             | Time: 0:00:00  14.50 MB/s
widgetsnbexten  10% |###                            | Time: 0:00:00  15.15 MB/s
widgetsnbexten  12% |###                            | Time: 0:00:00  15.92 MB/s
widgetsnbexten  14% |####                           | Time: 0:00:00  16.52 MB/s
widgetsnbexten  16% |#####                          | Time: 0:00:00  17.15 MB/s
widgetsnbexten  18% |#####                          | Time: 0:00:00  17.64 MB/s
widgetsnbexten  20% |######                         | Time: 0:00:00  18.75 MB/s
widgetsnbexten  21% |######                         | Time: 0:00:00  19.80 MB/s
widgetsnbexten  23% |#######                        | Time: 0:00:00  20.77 MB/s
widgetsnbexten  25% |#######                        | Time: 0:00:00  21.69 MB/s
widgetsnbexten  27% |########                       | Time: 0:00:00  22.57 MB/s
widgetsnbexten  29% |#########                      | Time: 0:00:00  23.39 MB/s
widgetsnbexten  31% |#########                      | Time: 0:00:00  24.16 MB/s
widgetsnbexten  32% |##########                     | Time: 0:00:00  24.90 MB/s
widgetsnbexten  34% |##########                     | Time: 0:00:00  25.55 MB/s
widgetsnbexten  36% |###########                    | Time: 0:00:00  26.25 MB/s
widgetsnbexten  38% |###########                    | Time: 0:00:00  26.85 MB/s
widgetsnbexten  40% |############                   | Time: 0:00:00  27.45 MB/s
widgetsnbexten  42% |#############                  | Time: 0:00:00  27.98 MB/s
widgetsnbexten  43% |#############                  | Time: 0:00:00  28.59 MB/s
widgetsnbexten  45% |##############                 | Time: 0:00:00  29.24 MB/s
widgetsnbexten  47% |##############                 | Time: 0:00:00  29.88 MB/s
widgetsnbexten  49% |###############                | Time: 0:00:00  30.49 MB/s
widgetsnbexten  51% |###############                | Time: 0:00:00  31.04 MB/s
widgetsnbexten  53% |################               | Time: 0:00:00  31.65 MB/s
widgetsnbexten  54% |#################              | Time: 0:00:00  32.20 MB/s
widgetsnbexten  56% |#################              | Time: 0:00:00  32.73 MB/s
widgetsnbexten  58% |##################             | Time: 0:00:00  33.25 MB/s
widgetsnbexten  60% |##################             | Time: 0:00:00  33.75 MB/s
widgetsnbexten  62% |###################            | Time: 0:00:00  34.24 MB/s
widgetsnbexten  64% |###################            | Time: 0:00:00  34.71 MB/s
widgetsnbexten  65% |####################           | Time: 0:00:00  35.17 MB/s
widgetsnbexten  67% |####################           | Time: 0:00:00  35.67 MB/s
widgetsnbexten  69% |#####################          | Time: 0:00:00  36.05 MB/s
widgetsnbexten  71% |######################         | Time: 0:00:00  36.47 MB/s
widgetsnbexten  73% |######################         | Time: 0:00:00  36.89 MB/s
widgetsnbexten  74% |#######################        | Time: 0:00:00  37.26 MB/s
widgetsnbexten  76% |#######################        | Time: 0:00:00  37.65 MB/s
widgetsnbexten  78% |########################       | Time: 0:00:00  38.03 MB/s
widgetsnbexten  80% |########################       | Time: 0:00:00  38.40 MB/s
widgetsnbexten  82% |#########################      | Time: 0:00:00  38.76 MB/s
widgetsnbexten  84% |##########################     | Time: 0:00:00  39.10 MB/s
widgetsnbexten  85% |##########################     | Time: 0:00:00  39.45 MB/s
widgetsnbexten  87% |###########################    | Time: 0:00:00  39.84 MB/s
widgetsnbexten  89% |###########################    | Time: 0:00:00  40.19 MB/s
widgetsnbexten  91% |############################   | Time: 0:00:00  40.51 MB/s
widgetsnbexten  93% |############################   | Time: 0:00:00  40.82 MB/s
widgetsnbexten  95% |#############################  | Time: 0:00:00  41.12 MB/s
widgetsnbexten  96% |############################## | Time: 0:00:00  41.41 MB/s
widgetsnbexten  98% |############################## | Time: 0:00:00  41.68 MB/s
widgetsnbCollecting arrow==0.12.0
  Downloading https://files.pythonhosted.org/packages/90/48/7ecfce4f2830f59dfacbb2b5a31e3ff1112b731a413724be40f57faa4450/arrow-0.12.0.tar.gz (89kB)
Collecting attrdict==2.0.0
  Downloading https://files.pythonhosted.org/packages/35/bb/bac3e42ae04bc082c28cd8186bfb5b50fb240a4f7419f876c683125ccc8b/attrdict-2.0.0.tar.gz
Requirement already satisfied: backports.shutil-get-terminal-size==1.0.0 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages
Collecting cachetools==2.0.1
  Downloading https://files.pythonhosted.org/packages/ac/e8/5492fd5ada0b05a1bc485bcb634b559acdec59383eef5c4203b5e22be296/cachetools-2.0.1-py2.py3-none-any.whl
Collecting certifi==2017.11.5
  Downloading https://files.pythonhosted.org/packages/29/9b/25ef61e948321296f029f53c9f67cc2b54e224db509eb67ce17e0df6044a/certifi-2017.11.5-py2.py3-none-any.whl (330kB)
Collecting cheroot==5.10.0
  Downloading https://files.pythonhosted.org/packages/07/c4/061cc1f6f2cea860f7f6858ad87e3311b8f1e4f0612e353523905060a74f/cheroot-5.10.0-py2.py3-none-any.whl (61kB)
Collecting enum34==1.1.6
  Downloading 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.uZNq5j701C/lib/python3.6/site-packages
Collecting future==0.16.0
  Downloading https://files.pythonhosted.org/packages/00/2b/8d082ddfed935f3608cc61140df6dcbf0edea1bc3ab52fb6c29ae3e81e85/future-0.16.0.tar.gz (824kB)
Collecting geojson==2.3.0
  Downloading https://files.pythonhosted.org/packages/1c/59/5d8f40aa03591d68fa6bf99268810c66a0fbc82b9598e40822f3fd9149d2/geojson-2.3.0-py2.py3-none-any.whl
Collecting google-auth==1.2.1
  Downloading https://files.pythonhosted.org/packages/25/1d/e56a53fe3bfd5b3ebeda9b3bf1e4e2512fec98c35c521d381bd525714df5/google_auth-1.2.1-py2.py3-none-any.whl (61kB)
Requirement already satisfied: ipython-genutils==0.2.0 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages
Collecting jaraco.classes==1.4.3
  Downloading https://files.pythonhosted.org/packages/e7/31/0e6a137a2e63bcc525ed795bfc2845bac734cb648d3d44ad53007c7ecfed/jaraco.classes-1.4.3-py2.py3-none-any.whl
Collecting jsonpickle==0.9.5
  Downloading https://files.pythonhosted.org/packages/4d/83/aa23ea62c1d4da27ca94f0f1ae56c622cdcf4501832a57ff8ffa55a3d83f/jsonpickle-0.9.5.tar.gz (65kB)
Requirement already satisfied: jupyter-client==5.0.1 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages
Requirement already satisfied: jupyter-console==5.1.0 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages
Requirement already satisfied: jupyter-core==4.3.0 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages
Collecting jwcrypto==0.4.2
  Downloading https://files.pythonhosted.org/packages/08/58/39cd800f07535025a01a3b85839a11b51f42ef4ea7380dd513f9046b779c/jwcrypto-0.4.2-py2.py3-none-any.whl (70kB)
Collecting portend==2.2
  Downloading 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.uZNq5j701C/lib/python3.6/site-packages
Collecting pyasn1==0.4.2
  Downloading https://files.pythonhosted.org/packages/ba/fe/02e3e2ee243966b143657fb8bd6bc97595841163b6d8c26820944acaec4d/pyasn1-0.4.2-py2.py3-none-any.whl (71kB)
Collecting pyasn1-modules==0.2.1
  Downloading https://files.pythonhosted.org/packages/e9/51/bcd96bf6231d4b2cc5e023c511bee86637ba375c44a6f9d1b4b7ad1ce4b9/pyasn1_modules-0.2.1-py2.py3-none-any.whl (60kB)
Collecting pyfcm==1.4.3
  Downloading https://files.pythonhosted.org/packages/49/ba/a545ece39551094e9b49e26995c6d6280f249748eefe0e6a7a15106f1922/pyfcm-1.4.3.tar.gz
Collecting pygeocoder==1.2.5
  Downloading https://files.pythonhosted.org/packages/3b/79/2cf3a4dfe54705bbf07cbb25940078dfa595608aa4ecb9f0aaaae9faba08/pygeocoder-1.2.5.tar.gz
Collecting pykml==0.1.3
  Downloading https://files.pythonhosted.org/packages/8f/16/276e16f024db5aca4c8891cecd56219a5a1e016fa356e858dfb04590b1d5/pykml-0.1.3.tar.gz (43kB)
Collecting pymongo==3.5.1
  Downloading https://files.pythonhosted.org/packages/10/b3/2a3dd782a8bc51d6a715ed1db8d1851271ab454a8da67c462f7ecab16356/pymongo-3.5.1-cp36-cp36m-manylinux1_x86_64.whl (365kB)
Collecting python-crontab==2.2.7
  Downloading https://files.pythonhosted.org/packages/c8/9c/ed693b55d7bc1cea6088ff9fd4384b86876a8842e266932371f3bdba6843/python-crontab-2.2.7.tar.gz (44kB)
Collecting requests-toolbelt==0.8.0
  Downloading https://files.pythonhosted.org/packages/97/8a/d710f792d6f6ecc089c5e55b66e66c3f2f35516a1ede5a8f54c13350ffb0/requests_toolbelt-0.8.0-py2.py3-none-any.whl (54kB)
Requirement already satisfied: rope-py3k==0.9.4.post1 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages
Collecting rsa==3.4.2
  Cache entry deserialization failed, entry ignored
  Cache entry deserialization failed, entry ignored
  Downloading https://files.pythonhosted.org/packages/e1/ae/baedc9cb175552e95f3395c43055a6a5e125ae4d48a1d7a924baca83e92e/rsa-3.4.2-py2.py3-none-any.whl (46kB)
Requirement already satisfied: tables==3.3.0 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages
Collecting tempora==1.9
  Downloading https://files.pythonhosted.org/packages/57/45/56a0cdcffb2e6ff7160254773ea313548f063dc1f35ee729b9fb669d39fb/tempora-1.9-py2.py3-none-any.whl
Collecting urllib3==1.22
  Downloading https://files.pythonhosted.org/packages/63/cb/6965947c13a94236f6d4b8223e21beb4d576dc72e8130bd7880f600839b8/urllib3-1.22-py2.py3-none-any.whl (132kB)
Collecting utm==0.4.2
  Downloading https://files.pythonhosted.org/packages/92/d9/8bdb3d477dcaf75e1a1021772892f729a055787a08aa472582c5d35a0b36/utm-0.4.2.tar.gz
Collecting xmltodict==0.11.0
  Downloading 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.uZNq5j701C/lib/python3.6/site-packages (from arrow==0.12.0)
Requirement already satisfied: six in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from attrdict==2.0.0)
Requirement already satisfied: traitlets in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from jupyter-client==5.0.1)
Requirement already satisfied: pyzmq>=13 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from jupyter-client==5.0.1)
Requirement already satisfied: pygments in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from jupyter-console==5.1.0)
Requirement already satisfied: ipykernel in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from jupyter-console==5.1.0)
Requirement already satisfied: ipython in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from jupyter-console==5.1.0)
Requirement already satisfied: cryptography>=1.5 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from jwcrypto==0.4.2)
Requirement already satisfied: wcwidth in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from prompt-toolkit==1.0.14)
Requirement already satisfied: requests in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from pyfcm==1.4.3)
Requirement already satisfied: lxml>=2.2.6 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from pykml==0.1.3)
Requirement already satisfied: numpy>=1.8.0 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from tables==3.3.0)
Requirement already satisfied: numexpr>=2.5.2 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from tables==3.3.0)
Requirement already satisfied: pytz in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from tempora==1.9)
Requirement already satisfied: decorator in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from traitlets->jupyter-client==5.0.1)
Requirement already satisfied: tornado>=4.0 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from ipykernel->jupyter-console==5.1.0)
Requirement already satisfied: pickleshare in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from ipython->jupyter-console==5.1.0)
Requirement already satisfied: setuptools>=18.5 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages/setuptools-27.2.0-py3.6.egg (from ipython->jupyter-console==5.1.0)
Requirement already satisfied: pexpect; sys_platform != "win32" in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from ipython->jupyter-console==5.1.0)
Requirement already satisfied: simplegeneric>0.8 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from ipython->jupyter-console==5.1.0)
Requirement already satisfied: idna>=2.1 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from cryptography>=1.5->jwcrypto==0.4.2)
Requirement already satisfied: asn1crypto>=0.21.0 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from cryptography>=1.5->jwcrypto==0.4.2)
Requirement already satisfied: packaging in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from cryptography>=1.5->jwcrypto==0.4.2)
Requirement already satisfied: cffi>=1.4.1 in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from cryptography>=1.5->jwcrypto==0.4.2)
Requirement already satisfied: pyparsing in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from packaging->cryptography>=1.5->jwcrypto==0.4.2)
Requirement already satisfied: pycparser in /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages (from cffi>=1.4.1->cryptography>=1.5->jwcrypto==0.4.2)
Building wheels for collected packages: arrow, attrdict, future, jsonpickle, pyfcm, pygeocoder, pykml, python-crontab, utm
  Running setup.py bdist_wheel for arrow: started
  Running setup.py bdist_wheel for arrow: finished with status 'done'
  Stored in directory: /home/jenkins/.cache/pip/wheels/f7/63/8d/b8b714a7808530bb49fad5a28bb12b5a4f7cd8d9d9aa074d8b
  Running setup.py bdist_wheel for attrdict: started
  Running setup.py bdist_wheel for attrdict: finished with status 'done'
  Stored in directory: /home/jenkins/.cache/pip/wheels/5d/38/d6/303964f4b7e7dc2ef8d00dc028c0e357942fd5a2f34cf6dd30
  Running setup.py bdist_wheel for future: started
  Running setup.py bdist_wheel for future: finished with status 'done'
  Stored in directory: /home/jenkins/.cache/pip/wheels/bf/c9/a3/c538d90ef17cf7823fa51fc701a7a7a910a80f6a405bf15b1a
  Running setup.py bdist_wheel for jsonpickle: started
  Running setup.py bdist_wheel for jsonpickle: finished with status 'done'
  Stored in directory: /home/jenkins/.cache/pip/wheels/30/19/5e/254ed8a934d3f7ecb70fb38b8bb7374038cc3b56db496d4f5c
  Running setup.py bdist_wheel for pyfcm: started
  Running setup.py bdist_wheel for pyfcm: finished with status 'done'
  Stored in directory: /home/jenkins/.cache/pip/wheels/cb/47/fa/56fd8744fcb710ef7d1605dfd770c807ddc262db5fc2786265
  Running setup.py bdist_wheel for pygeocoder: started
  Running setup.py bdist_wheel for pygeocoder: finished with status 'done'
  Stored in directory: /home/jenkins/.cache/pip/wheels/7c/4c/00/d05c66c4af5411c554c91b8079732c8a0359c2226fb8c01031
  Running setup.py bdist_wheel for pykml: started
  Running setup.py bdist_wheel for pykml: finished with status 'done'
  Stored in directory: /home/jenkins/.cache/pip/wheels/31/dd/0c/a8506944ba8afad0b2763dfff1dbffc7f936fc7dd591bae4bc
  Running setup.py bdist_wheel for python-crontab: started
  Running setup.py bdist_wheel for python-crontab: finished with status 'done'
  Stored in directory: /home/jenkins/.cache/pip/wheels/cf/28/8b/aec2d2b8b5379c454b1b719a35e0bacd4d2b236ee3c617b601
  Running setup.py bdist_wheel for utm: started
  Running setup.py bdist_wheel for utm: finished with status 'done'
  Stored in directory: /home/jenkins/.cache/pip/wheels/1d/2d/5a/4c6320941f607ffefd353e1bb715e33a250a59f835cf0fbdd8
Successfully built arrow attrdict future jsonpickle pyfcm pygeocoder pykml python-crontab utm
Installing collected packages: arrow, attrdict, cachetools, certifi, cheroot, enum34, future, geojson, pyasn1, rsa, pyasn1-modules, 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
exten 100% |###############################| Time: 0:00:00  41.77 MB/s
widgetsnbexten 100% |###############################| Time: 0:00:00  41.46 MB/s
altair-1.2.1-p   0% |                              | ETA:  --:--:--   0.00  B/s
altair-1.2.1-p  18% |#####                          | Time: 0:00:00  19.23 MB/s
altair-1.2.1-p  37% |###########                    | Time: 0:00:00  21.12 MB/s
altair-1.2.1-p  56% |#################              | Time: 0:00:00  21.58 MB/s
altair-1.2.1-p  74% |#######################        | Time: 0:00:00  21.90 MB/s
altair-1.2.1-p  93% |############################   | Time: 0:00:00  21.70 MB/s
altair-1.2.1-p 100% |###############################| Time: 0:00:00  20.32 MB/s
altair-1.2.1-p 100% |###############################| Time: 0:00:00  18.62 MB/s
ipywidgets-6.0   0% |                              | ETA:  --:--:--   0.00  B/s
ipywidgets-6.0  23% |#######                        | Time: 0:00:00  19.18 MB/s
ipywidgets-6.0  47% |##############                 | Time: 0:00:00  21.02 MB/s
ipywidgets-6.0  71% |######################         | Time: 0:00:00  21.57 MB/s
ipywidgets-6.0  95% |#############################  | Time: 0:00:00  21.63 MB/s
ipywidgets-6.0 100% |###############################| Time: 0:00:00  19.57 MB/s
ipywidgets-6.0 100% |###############################| Time: 0:00:00  17.52 MB/s
folium-0.5.0-p   0% |                              | ETA:  --:--:--   0.00  B/s
folium-0.5.0-p  35% |##########                     | Time: 0:00:00  13.52 MB/s
folium-0.5.0-p  70% |#####################          | Time: 0:00:00  21.00 MB/s
folium-0.5.0-p 100% |###############################| Time: 0:00:00  24.12 MB/s
folium-0.5.0-p 100% |###############################| Time: 0:00:00  21.98 MB/s
jupyter-1.0.0-   0% |                              | ETA:  --:--:--   0.00  B/s
jupyter-1.0.0- 100% |###############################| Time: 0:00:00   6.08 MB/s
jupyter-1.0.0- 100% |###############################| Time: 0:00:00   3.98 MB/s
anaconda-4.4.0   0% |                              | ETA:  --:--:--   0.00  B/s
anaconda-4.4.0 100% |###############################| Time: 0:00:00   8.56 MB/s
anaconda-4.4.0 100% |###############################| Time: 0:00:00   5.74 MB/s
Installing /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages/vega/static -> jupyter-vega
Making directory: /tmp/tmp.uZNq5j701C/share/jupyter/nbextensions/jupyter-vega/
Copying: /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages/vega/static/index.js -> /tmp/tmp.uZNq5j701C/share/jupyter/nbextensions/jupyter-vega/index.js
Copying: /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages/vega/static/vega-lite.html -> /tmp/tmp.uZNq5j701C/share/jupyter/nbextensions/jupyter-vega/vega-lite.html
Copying: /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages/vega/static/index.js.map -> /tmp/tmp.uZNq5j701C/share/jupyter/nbextensions/jupyter-vega/index.js.map
Copying: /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages/vega/static/vega.js -> /tmp/tmp.uZNq5j701C/share/jupyter/nbextensions/jupyter-vega/vega.js
Copying: /tmp/tmp.uZNq5j701C/lib/python3.6/site-packages/vega/static/vega.html -> /tmp/tmp.uZNq5j701C/share/jupyter/nbextensions/jupyter-vega/vega.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.uZNq5j701C
#
# To deactivate an active environment, use:
# > source deactivate
#

Cache entry deserialization failed, entry ignored
Collecting six
  Cache entry deserialization failed, entry ignored
  Downloading 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 18.0 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.uZNq5j701C/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.uZNq5j701C/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 2bb89c74-bfe0-48af-bd5d-fe18a4876cdf, early return
WARNING:root:No user defined overrides for 2bb89c74-bfe0-48af-bd5d-fe18a4876cdf, early return
WARNING:root:No user defined overrides for 2bb89c74-bfe0-48af-bd5d-fe18a4876cdf, early return
.WARNING:root:No user defined overrides for 0d2a9851-5888-4b8d-bc59-2bf21102a87e, early return
WARNING:root:No user defined overrides for 0d2a9851-5888-4b8d-bc59-2bf21102a87e, early return
WARNING:root:No user defined overrides for 0d2a9851-5888-4b8d-bc59-2bf21102a87e, early return
.WARNING:root:No user defined overrides for b0513f8d-6969-4808-8359-22fa6e4a3073, early return
WARNING:root:No user defined overrides for b0513f8d-6969-4808-8359-22fa6e4a3073, early return
.WARNING:root:No user defined overrides for 51c77898-64b1-493e-af1e-3ec261c0d7b7, early return
WARNING:root:No user defined overrides for 51c77898-64b1-493e-af1e-3ec261c0d7b7, early return
........................................................................................................................................WARNING:root:Got error None while saving entry AttrDict({'_id': ObjectId('572d3621d282b8f30def7e85'), 'user_id': UUID('566fad71-4a85-4ee9-9410-7e9f38aa7268'), 'data': {'transition': None, 'currState': 'STATE_ONGOING_TRIP'}, 'metadata': {'plugin': 'none', 'write_ts': 1535055202, 'time_zone': 'America/Los_Angeles', 'platform': 'ios', 'key': 'statemachine/transition', 'read_ts': 1535055200, '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'
.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 274d8cc3-be1c-40a2-b955-e15652c2fd87
Setting up real example for a4405f03-4acd-4870-81a8-bec809d1cd80
Setting up real example for c8d7da06-4e33-4105-9c3e-280c00c58bf0
Setting up real example for 3acd23bd-76b2-4b17-bd85-c5a852edd5b4
Setting up real example for 7e7e67a1-6362-49b4-bf94-8c2421e1e002
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 32f3a6b4-1185-4bc6-b40f-df77b21e9319
Setting up real example for 1bbfb95c-4a64-4543-b0eb-e803d0dfdc00
Setting up real example for ff140338-04d1-4a83-aec4-a680a2fd0381
Setting up real example for 15beddba-b969-4e68-87ad-f11f6240e538
Setting up real example for 2e34c4ea-cf0b-4b12-ba3f-2364e54ff10c
Setting up real example for 875d8e63-a7a1-4b2c-9f5d-cc9f35ad8677
Setting up real example for 38c3697e-3b32-4403-aef0-f9f966ea8dd9
Setting up real example for f517de68-2c1e-4a23-966b-5f97345bac7a
Setting up real example for 58fccf96-7a70-4756-bd30-eb33cbd71504
Setting up real example for 4ed483d1-20cb-452e-ba4c-e3b1c8fc0c86
Setting up real example for bd8516c9-2d67-4dbb-bfc0-95c6b8aca115
Setting up real example for 1bf0cf4c-5090-49cd-a93c-57082c1d409c
Setting up real example for fde4a109-f43e-481a-b668-cf9b0e3c0ccd
Setting up real example for f1a79af0-0aa7-4180-8319-4686d6704122
Setting up real example for 6b6b80b3-2343-40bd-8e99-0ae4d2c2bc74
Setting up real example for db4f99ba-7b50-4405-bc19-498862a8381d
Setting up real example for 514657ff-dfe3-44d9-b778-cb262cdd9e1c
Setting up real example for bcfd3be9-83a2-4898-b932-76dec3c922d6
Setting up real example for 361e23c1-e364-41db-8456-5ee093b6daf4
Setting up real example for 4fd1db90-6cce-46fc-b683-766a006bec50
Setting up real example for e269dd41-4418-4a09-85c0-1b35a517b145
Setting up real example for ca17da65-728e-4bbc-ba5d-8b50dbb59d0f
Setting up real example for 91e2dfaa-52b2-478b-82db-e3aa2ac20f89
Setting up real example for 6c2aef25-f675-45dc-b8fa-2147c034d0b9
Setting up real example for 13acbe8f-774a-417d-80b8-c0e1eda44b42
Setting up real example for ca6e47d3-fed9-4792-9bed-72637b8f9860
Setting up real example for d575dedf-dc2f-4ee9-9645-7a36c0d118e9
Setting up real example for 2c6e1e54-35eb-4abd-9a9e-999fe7ef3870
Setting up real example for 9ff0d35d-5e6d-4db2-b094-19150b344ffa
Setting up real example for 332ae82f-addc-4942-a951-683865bcf386
Setting up real example for 0e1334e9-8106-46ab-896d-571e9257674c
Setting up real example for c8140bcb-60b1-4b63-87fb-bac463471bcd
Setting up real example for 053d936e-c2d9-415e-a39d-e0c87745e241
Setting up real example for 09f21e62-d2a1-4fba-9a79-250fb1c49cc1
Setting up real example for 325aacd4-3ff1-4e2b-9f6a-d544ceba0f7f
Setting up real example for 5de7c243-c718-4a36-ab18-0c938779c83c
[ 0.1  0.1]
Setting up real example for 40dbea2b-2f71-4653-bc9b-846b65e34f84
Setting up real example for 4eec6db8-bc78-42d0-aac8-5633937513bd
Setting up real example for be4d8668-363e-445b-bdb4-f140eae9ce09
Setting up real example for 302d0380-a777-43aa-b197-06a0bc497c04
Setting up real example for b812f1f8-c71e-423a-bd7d-4d7d703870f8
Setting up real example for 2d49d4ac-2f26-4e77-918c-04cde52f3745
Setting up real example for 964890f6-ff1f-40da-acee-c11739c4b20a
Setting up real example for 615c14b5-984a-4106-ac2c-72be2b809821
Setting up real example for a62823be-4bcf-4d6d-874a-7636474ee997
collections = ['Stage_uuids', 'Stage_Modes', 'Stage_analysis_timeseries', 'Stage_Sections', 'Stage_Profiles', 'Stage_pipeline_state', 'Stage_timeseries', 'Stage_usercache']
Dropping collection Stage_uuids
Dropping collection Stage_Modes
Dropping collection Stage_analysis_timeseries
Dropping collection Stage_Sections
Dropping collection Stage_Profiles
Dropping collection Stage_pipeline_state
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 b4ca1ba7-f0af-4e45-9310-0b6a32476fb6
Setting up real example for e4074a1f-4e5e-4b98-a73e-3fcf6ae6da9e
Setting up real example for 46153116-1071-4688-a44d-9e418f914c57
Setting up real example for db3f3cca-ef51-4a28-83b7-f96b6ce94772
Setting up real example for ed79a4b2-3733-42c2-b0bb-8c1ebc9f2367
Setting up real example for 587a1ca3-3e11-4c4f-b4dc-59fda8539b54
Setting up real example for 16af9454-fc27-40f0-86d0-0397e0e8679d
Setting up real example for 088c68dd-3e56-4aaa-9cb0-425b8ce14755
Setting up real example for faa1307e-e69c-4322-b880-3e0e4ca95f32
[[-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]].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 970.090s

OK

Setting up real example for acec2be1-3d39-4447-89b5-fb27c989ce89
Setting up real example for 68ac3437-ec4a-48e5-b4ed-1cd212b13b66
Setting up real example for 8766768d-866d-4054-87ed-8fb7e0bf4ae0
Setting up real example for 8ca6cf21-bd81-4fd8-816d-cf80e66425a6
Setting up real example for 168e8eb7-4ca5-44d2-bf65-1f23634f4a54
Setting up real example for 2a48c55b-7e2f-4fdb-a291-56ac8c86b495
Setting up real example for 5f347a24-1513-4bd7-893f-67f771d51e03
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e0'), 'track_location': {'type': 'Point', 'coordinates': [-122.5, 37.5]}}
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e3'), 'track_location': {'type': 'Point', 'coordinates': [-122.5, 37.5]}}
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e4'), 'track_location': {'type': 'Point', 'coordinates': [-122.259475, 37.87237]}}
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e5'), 'track_location': {'type': 'Point', 'coordinates': [-122.259169, 37.873873]}}
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e6'), 'track_location': {'type': 'Point', 'coordinates': [-122.25874, 37.875711]}}
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e7'), 'track_location': {'type': 'Point', 'coordinates': [-122.254577, 37.870352]}}
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e3'), 'track_location': {'type': 'Point', 'coordinates': [-122.5, 37.5]}}
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e4'), 'track_location': {'type': 'Point', 'coordinates': [-122.259475, 37.87237]}}
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e5'), 'track_location': {'type': 'Point', 'coordinates': [-122.259169, 37.873873]}}
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e6'), 'track_location': {'type': 'Point', 'coordinates': [-122.25874, 37.875711]}}
Found match for {'_id': ObjectId('5b7f1634c498126ac561b5e7'), 'track_location': {'type': 'Point', 'coordinates': [-122.254577, 37.870352]}}
Setting up real example for 97c2295e-b9d6-4488-9e16-2c6d67b32c73
Setting up real example for b8af6049-1d7c-44eb-81f8-0d141a4f2331
Setting up real example for 52e4ee03-4c11-4f76-9c72-cdb2e5db087a
Setting up real example for 6126e2f6-1d63-470e-bd6b-416116aa92c9
Setting up real example for 4678dc54-09d8-4ca9-a042-949a4715cb36
Setting up real example for 6bb93499-0be3-42df-a9f2-6fe7b0ffe6c0
Setting up real example for db82284b-0ef4-4726-9e69-c95048626920
Setting up real example for d8550bd4-e31a-4fb4-bdfb-74739237b778
Setting up real example for 859e34af-2c2a-42b4-ac1a-d7ccfe408cf0
Setting up real example for e04aa7e8-83d1-4a26-9cfa-f623d813b567
Setting up real example for 9143fb6e-7766-4f5e-9ac3-6c7f3c275a19
Setting up real example for 78098e23-0e19-462d-81bc-b4f08b7c58be
Setting up real example for 7b3cce20-f2d2-4fea-a49d-8e1edcbc7948
Setting up real example for 912acc6e-3158-4344-8ddf-06669beef880
Setting up real example for e956d9dd-1ea3-4962-93a7-dfa1eb754d82
Setting up real example for 0adebf3f-a3de-472b-864b-8c898b4ce536
Setting up real example for 36762965-e621-4da1-a5cc-363a9f072e41
Setting up real example for bdac9439-c1a8-49a0-a574-60fa9042f822
Setting up real example for 32bbd1f7-d614-41e8-ac5f-3ee6975cb757
Setting up real example for 8dffbba9-8f7f-4882-b033-7f715d56a3af
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.uZNq5j701C/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.uZNq5j701C/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.uZNq5j701C/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.uZNq5j701C/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.uZNq5j701C/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.uZNq5j701C/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 59.480s

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 f2d75999-e9b5-4437-92df-6a777235d813
Setting up real example for 38039cbe-1039-49c0-83b8-48f63990697a
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 fc5dec1d-c616-4c35-8578-6ca2c3d5218d
Setting up real example for 4885a0bd-7172-4f63-a90b-211c13824907
Setting up real example for 4bf40faa-7336-479b-8bfc-4b5a948aee39
Setting up real example for dac8e318-07df-4f8b-9497-7fa6cf754d49
sys:1: ResourceWarning: unclosed file <_io.TextIOWrapper name='conf/storage/db.conf.sample' mode='r' encoding='UTF-8'>
Removing environment from /tmp/tmp.uZNq5j701C

Package plan for package removal in environment /tmp/tmp.uZNq5j701C:

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:              1.7.82-py_0          conda-forge
    botocore:           1.10.83-py_0         conda-forge
    bottleneck:         1.2.1-np112py36_0    conda-forge
    branca:             0.2.0-py_1           conda-forge
    ca-certificates:    2018.8.13-ha4d7672_0 conda-forge
    cairo:              1.14.8-0                        
    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
    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_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_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
    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.uZNq5j701C/bin/.vega-pre-unlink.sh: line 1: /tmp/tmp.uZNq5j701C/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