SimBarca / simulation_sessions /session_007 /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 118679 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/00_traj_1363.0.json.gz
Loading a file takes 48.66s
Creating data frames takes 28.64s
Filling data types and values takes 7.30s
Processing a file takes 17.07s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/01_traj_2303.5.json.gz
Loading a file takes 56.62s
Creating data frames takes 27.06s
Filling data types and values takes 5.87s
Processing a file takes 18.72s
Concatenating time series takes 0.30s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/02_traj_3234.0.json.gz
Loading a file takes 57.86s
Creating data frames takes 32.15s
Filling data types and values takes 5.78s
Processing a file takes 18.28s
Concatenating time series takes 0.31s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/03_traj_4141.5.json.gz
Loading a file takes 55.54s
Creating data frames takes 21.80s
Filling data types and values takes 5.78s
Processing a file takes 19.75s
Concatenating time series takes 0.46s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/04_traj_5032.0.json.gz
Loading a file takes 58.91s
Creating data frames takes 24.43s
Filling data types and values takes 5.77s
Processing a file takes 19.19s
Concatenating time series takes 0.57s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/05_traj_5910.5.json.gz
Loading a file takes 55.02s
Creating data frames takes 22.09s
Filling data types and values takes 5.78s
Processing a file takes 30.02s
Concatenating time series takes 0.52s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/06_traj_6802.0.json.gz
Loading a file takes 60.15s
Creating data frames takes 25.41s
Filling data types and values takes 6.88s
Processing a file takes 20.39s
Concatenating time series takes 0.67s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/07_traj_end.json.gz
Loading a file takes 37.79s
Creating data frames takes 16.70s
Filling data types and values takes 3.99s
Processing a file takes 16.90s
Concatenating time series takes 0.76s
Saving all the section time series takes 78.02s
Saving all the junction time series takes 10.69s
Saving network entrance and exit takes 0.08s
Aggregating the raw statistics to different intervals...
0%| | 0/1517 [00:00<?, ?it/s] 0%| | 1/1517 [00:00<11:01, 2.29it/s] 1%|▏ | 21/1517 [00:00<00:30, 49.18it/s] 4%|β–Ž | 56/1517 [00:00<00:11, 125.21it/s] 6%|β–Œ | 94/1517 [00:00<00:07, 187.78it/s] 9%|β–Š | 132/1517 [00:00<00:05, 237.54it/s] 11%|β–ˆ | 163/1517 [00:00<00:05, 235.56it/s] 13%|β–ˆβ–Ž | 191/1517 [00:01<00:05, 236.31it/s] 14%|β–ˆβ– | 218/1517 [00:01<00:05, 238.76it/s] 16%|β–ˆβ–Œ | 245/1517 [00:01<00:05, 238.33it/s] 18%|β–ˆβ–Š | 271/1517 [00:01<00:05, 242.60it/s] 20%|β–ˆβ–‰ | 297/1517 [00:01<00:05, 235.17it/s] 21%|β–ˆβ–ˆ | 322/1517 [00:04<00:38, 30.88it/s] 22%|β–ˆβ–ˆβ– | 340/1517 [00:04<00:31, 37.78it/s] 24%|β–ˆβ–ˆβ–Ž | 359/1517 [00:04<00:24, 47.36it/s] 26%|β–ˆβ–ˆβ–Œ | 398/1517 [00:04<00:14, 75.02it/s] 28%|β–ˆβ–ˆβ–Š | 421/1517 [00:04<00:12, 89.35it/s] 29%|β–ˆβ–ˆβ–‰ | 447/1517 [00:04<00:09, 111.15it/s] 31%|β–ˆβ–ˆβ–ˆ | 470/1517 [00:04<00:08, 127.31it/s] 32%|β–ˆβ–ˆβ–ˆβ– | 493/1517 [00:04<00:07, 130.26it/s] 34%|β–ˆβ–ˆβ–ˆβ– | 517/1517 [00:05<00:06, 149.58it/s] 35%|β–ˆβ–ˆβ–ˆβ–Œ | 538/1517 [00:05<00:06, 154.48it/s] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 558/1517 [00:05<00:06, 149.39it/s] 38%|β–ˆβ–ˆβ–ˆβ–Š | 577/1517 [00:05<00:05, 158.35it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 597/1517 [00:05<00:05, 167.58it/s] 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 616/1517 [00:05<00:05, 172.43it/s] 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 635/1517 [00:05<00:05, 166.65it/s] 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 661/1517 [00:05<00:04, 186.96it/s] 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 681/1517 [00:05<00:04, 184.48it/s] 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 704/1517 [00:06<00:04, 179.51it/s] 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 725/1517 [00:06<00:04, 187.37it/s] 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 745/1517 [00:06<00:04, 183.91it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 764/1517 [00:06<00:04, 179.87it/s] 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 783/1517 [00:06<00:04, 180.60it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 802/1517 [00:06<00:03, 181.07it/s] 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 821/1517 [00:06<00:03, 179.81it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 840/1517 [00:06<00:03, 178.44it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 864/1517 [00:06<00:03, 191.58it/s] 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 884/1517 [00:07<00:03, 185.61it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 904/1517 [00:07<00:03, 178.39it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 923/1517 [00:07<00:03, 180.34it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 943/1517 [00:07<00:03, 183.51it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 970/1517 [00:07<00:02, 200.42it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1000/1517 [00:07<00:02, 224.50it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1023/1517 [00:07<00:02, 201.80it/s] 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1047/1517 [00:07<00:02, 211.46it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1069/1517 [00:07<00:02, 208.50it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1094/1517 [00:08<00:02, 209.47it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1121/1517 [00:08<00:01, 224.81it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1151/1517 [00:08<00:01, 243.67it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1178/1517 [00:08<00:01, 250.09it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1204/1517 [00:08<00:01, 252.34it/s] 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1230/1517 [00:08<00:01, 248.57it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1258/1517 [00:08<00:01, 250.47it/s] 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1284/1517 [00:08<00:00, 243.65it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1309/1517 [00:08<00:00, 231.49it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1333/1517 [00:09<00:00, 216.95it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1355/1517 [00:09<00:00, 209.24it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1377/1517 [00:11<00:04, 33.79it/s] 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1401/1517 [00:11<00:02, 45.05it/s] 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1426/1517 [00:11<00:01, 60.21it/s] 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1446/1517 [00:11<00:00, 73.16it/s] 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1467/1517 [00:11<00:00, 88.08it/s] 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1488/1517 [00:11<00:00, 104.35it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:11<00:00, 127.22it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...