SimBarca / simulation_sessions /session_025 /processing_log.log
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INFO: Pandarallel will run on 8 workers.
INFO: Pandarallel will use Memory file system to transfer data between the main process and workers.
Selecting 5.0% vehicles from 136424 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/00_traj_1328.0.json.gz
Loading a file takes 51.28s
Creating data frames takes 19.18s
Filling data types and values takes 5.85s
Processing a file takes 17.43s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/01_traj_2101.5.json.gz
Loading a file takes 57.25s
Creating data frames takes 20.77s
Filling data types and values takes 5.65s
Processing a file takes 16.37s
Concatenating time series takes 0.27s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/02_traj_2846.5.json.gz
Loading a file takes 55.02s
Creating data frames takes 19.08s
Filling data types and values takes 5.44s
Processing a file takes 16.34s
Concatenating time series takes 0.26s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/03_traj_3578.0.json.gz
Loading a file takes 50.90s
Creating data frames takes 28.51s
Filling data types and values takes 6.70s
Processing a file takes 17.64s
Concatenating time series takes 0.39s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/04_traj_4322.5.json.gz
Loading a file takes 58.40s
Creating data frames takes 23.95s
Filling data types and values takes 5.65s
Processing a file takes 18.51s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/05_traj_5082.0.json.gz
Loading a file takes 55.47s
Creating data frames takes 21.87s
Filling data types and values takes 5.61s
Processing a file takes 30.84s
Concatenating time series takes 0.44s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/06_traj_5824.0.json.gz
Loading a file takes 63.64s
Creating data frames takes 23.89s
Filling data types and values takes 5.54s
Processing a file takes 34.56s
Concatenating time series takes 0.56s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/07_traj_6568.0.json.gz
Loading a file takes 65.26s
Creating data frames takes 20.16s
Filling data types and values takes 5.30s
Processing a file takes 34.06s
Concatenating time series takes 0.53s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/08_traj_7333.5.json.gz
Loading a file takes 60.90s
Creating data frames takes 20.58s
Filling data types and values takes 5.75s
Processing a file takes 21.76s
Concatenating time series takes 0.40s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/09_traj_end.json.gz
Loading a file takes 10.58s
Creating data frames takes 3.59s
Filling data types and values takes 0.83s
Processing a file takes 11.10s
Concatenating time series takes 0.49s
Saving all the section time series takes 76.88s
Saving all the junction time series takes 11.50s
Saving network entrance and exit takes 0.09s
Aggregating the raw statistics to different intervals...
0%| | 0/1517 [00:00<?, ?it/s] 0%| | 1/1517 [00:00<10:18, 2.45it/s] 0%| | 5/1517 [00:00<02:10, 11.63it/s] 3%|β–Ž | 53/1517 [00:00<00:11, 132.33it/s] 5%|β–Œ | 82/1517 [00:00<00:08, 170.49it/s] 8%|β–Š | 124/1517 [00:00<00:05, 236.36it/s] 10%|β–ˆ | 154/1517 [00:00<00:05, 241.26it/s] 12%|β–ˆβ– | 183/1517 [00:01<00:05, 239.86it/s] 14%|β–ˆβ– | 210/1517 [00:01<00:05, 238.72it/s] 16%|β–ˆβ–Œ | 236/1517 [00:01<00:05, 223.36it/s] 17%|β–ˆβ–‹ | 260/1517 [00:01<00:05, 216.48it/s] 19%|β–ˆβ–‰ | 287/1517 [00:01<00:05, 227.27it/s] 21%|β–ˆβ–ˆ | 311/1517 [00:01<00:05, 222.27it/s] 22%|β–ˆβ–ˆβ– | 334/1517 [00:02<00:18, 65.07it/s] 24%|β–ˆβ–ˆβ– | 365/1517 [00:02<00:12, 89.69it/s] 26%|β–ˆβ–ˆβ–‹ | 401/1517 [00:02<00:09, 123.58it/s] 28%|β–ˆβ–ˆβ–Š | 427/1517 [00:02<00:07, 141.69it/s] 30%|β–ˆβ–ˆβ–‰ | 453/1517 [00:03<00:06, 156.82it/s] 31%|β–ˆβ–ˆβ–ˆβ– | 477/1517 [00:03<00:06, 169.74it/s] 33%|β–ˆβ–ˆβ–ˆβ–Ž | 501/1517 [00:03<00:06, 167.43it/s] 34%|β–ˆβ–ˆβ–ˆβ– | 523/1517 [00:03<00:05, 172.21it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 544/1517 [00:03<00:05, 172.43it/s] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 564/1517 [00:03<00:05, 167.65it/s] 38%|β–ˆβ–ˆβ–ˆβ–Š | 584/1517 [00:03<00:05, 174.68it/s] 40%|β–ˆβ–ˆβ–ˆβ–‰ | 603/1517 [00:03<00:05, 164.81it/s] 41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 626/1517 [00:04<00:05, 173.40it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 653/1517 [00:04<00:04, 197.99it/s] 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 677/1517 [00:04<00:04, 208.30it/s] 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 699/1517 [00:04<00:03, 207.43it/s] 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 721/1517 [00:04<00:03, 200.41it/s] 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 742/1517 [00:04<00:03, 201.87it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 763/1517 [00:04<00:03, 196.50it/s] 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 786/1517 [00:04<00:03, 203.42it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 807/1517 [00:04<00:03, 200.94it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 832/1517 [00:05<00:03, 208.17it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 858/1517 [00:05<00:03, 211.99it/s] 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 886/1517 [00:05<00:02, 229.50it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 910/1517 [00:05<00:03, 201.82it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 931/1517 [00:05<00:02, 201.04it/s] 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 962/1517 [00:05<00:02, 229.19it/s] 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 986/1517 [00:05<00:02, 220.72it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1011/1517 [00:05<00:02, 224.98it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1034/1517 [00:05<00:02, 217.36it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1056/1517 [00:06<00:02, 202.53it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1077/1517 [00:06<00:02, 196.51it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1097/1517 [00:06<00:02, 194.18it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1117/1517 [00:06<00:02, 184.23it/s] 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1138/1517 [00:06<00:02, 188.12it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1164/1517 [00:06<00:01, 202.11it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1188/1517 [00:06<00:01, 203.28it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1211/1517 [00:06<00:01, 209.25it/s] 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1237/1517 [00:07<00:01, 216.02it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1270/1517 [00:07<00:01, 239.15it/s] 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1297/1517 [00:07<00:00, 244.44it/s] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1322/1517 [00:07<00:00, 222.12it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1345/1517 [00:07<00:00, 217.27it/s] 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1367/1517 [00:08<00:02, 57.08it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1383/1517 [00:08<00:02, 66.15it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1414/1517 [00:08<00:01, 93.41it/s] 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1441/1517 [00:08<00:00, 116.10it/s] 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1464/1517 [00:09<00:00, 133.70it/s] 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1490/1517 [00:09<00:00, 153.52it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:09<00:00, 164.76it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...