SimBarca / simulation_sessions /session_018 /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 110499 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/00_traj_1390.0.json.gz
Loading a file takes 48.90s
Creating data frames takes 22.05s
Filling data types and values takes 6.52s
Processing a file takes 18.72s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/01_traj_2407.5.json.gz
Loading a file takes 55.28s
Creating data frames takes 26.67s
Filling data types and values takes 5.53s
Processing a file takes 17.90s
Concatenating time series takes 0.29s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/02_traj_3413.0.json.gz
Loading a file takes 53.80s
Creating data frames takes 27.55s
Filling data types and values takes 6.25s
Processing a file takes 18.89s
Concatenating time series takes 0.39s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/03_traj_4411.5.json.gz
Loading a file takes 51.35s
Creating data frames takes 25.11s
Filling data types and values takes 5.68s
Processing a file takes 18.32s
Concatenating time series takes 0.53s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/04_traj_5374.5.json.gz
Loading a file takes 57.63s
Creating data frames takes 22.34s
Filling data types and values takes 5.66s
Processing a file takes 19.28s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/05_traj_6319.5.json.gz
Loading a file takes 54.72s
Creating data frames takes 23.56s
Filling data types and values takes 5.64s
Processing a file takes 28.22s
Concatenating time series takes 0.45s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/06_traj_7229.5.json.gz
Loading a file takes 59.45s
Creating data frames takes 29.99s
Filling data types and values takes 5.49s
Processing a file takes 18.84s
Concatenating time series takes 0.79s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/trajectory/07_traj_end.json.gz
Loading a file takes 21.27s
Creating data frames takes 9.09s
Filling data types and values takes 2.48s
Processing a file takes 15.98s
Concatenating time series takes 0.53s
Saving all the section time series takes 72.34s
Saving all the junction time series takes 9.93s
Saving network entrance and exit takes 0.08s
Aggregating the raw statistics to different intervals...
0%| | 0/1522 [00:00<?, ?it/s] 0%| | 1/1522 [00:00<09:19, 2.72it/s] 1%| | 8/1522 [00:00<01:11, 21.21it/s] 5%|▍ | 69/1522 [00:00<00:07, 185.92it/s] 7%|β–‹ | 108/1522 [00:00<00:05, 243.27it/s] 9%|β–‰ | 141/1522 [00:00<00:05, 239.56it/s] 11%|β–ˆ | 171/1522 [00:00<00:05, 243.80it/s] 13%|β–ˆβ–Ž | 200/1522 [00:01<00:05, 245.85it/s] 15%|β–ˆβ– | 228/1522 [00:01<00:05, 253.43it/s] 17%|β–ˆβ–‹ | 260/1522 [00:01<00:04, 269.78it/s] 19%|β–ˆβ–‰ | 289/1522 [00:01<00:04, 265.78it/s] 21%|β–ˆβ–ˆ | 317/1522 [00:02<00:13, 87.28it/s] 23%|β–ˆβ–ˆβ–Ž | 348/1522 [00:02<00:10, 112.67it/s] 25%|β–ˆβ–ˆβ– | 378/1522 [00:02<00:08, 138.31it/s] 27%|β–ˆβ–ˆβ–‹ | 407/1522 [00:02<00:06, 161.70it/s] 29%|β–ˆβ–ˆβ–Š | 434/1522 [00:02<00:06, 180.22it/s] 30%|β–ˆβ–ˆβ–ˆ | 464/1522 [00:02<00:05, 204.45it/s] 32%|β–ˆβ–ˆβ–ˆβ– | 491/1522 [00:02<00:04, 210.10it/s] 34%|β–ˆβ–ˆβ–ˆβ– | 517/1522 [00:02<00:04, 204.86it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 541/1522 [00:03<00:05, 193.70it/s] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 563/1522 [00:03<00:05, 188.18it/s] 39%|β–ˆβ–ˆβ–ˆβ–Š | 589/1522 [00:03<00:04, 203.09it/s] 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 611/1522 [00:03<00:04, 200.68it/s] 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 637/1522 [00:03<00:04, 200.58it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 661/1522 [00:03<00:04, 207.60it/s] 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 689/1522 [00:03<00:03, 225.93it/s] 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 716/1522 [00:03<00:03, 234.63it/s] 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 740/1522 [00:04<00:03, 229.67it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 764/1522 [00:04<00:03, 214.00it/s] 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 786/1522 [00:04<00:03, 200.89it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 811/1522 [00:04<00:03, 205.17it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 838/1522 [00:04<00:03, 220.73it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 866/1522 [00:04<00:02, 234.00it/s] 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 890/1522 [00:04<00:02, 230.10it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 914/1522 [00:04<00:02, 213.14it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 936/1522 [00:04<00:02, 209.77it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 968/1522 [00:05<00:02, 237.22it/s] 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 993/1522 [00:05<00:02, 237.11it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1017/1522 [00:05<00:02, 234.68it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1041/1522 [00:05<00:02, 221.62it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1064/1522 [00:05<00:02, 206.85it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1090/1522 [00:05<00:01, 218.50it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1113/1522 [00:05<00:01, 209.33it/s] 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1135/1522 [00:05<00:01, 206.26it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1158/1522 [00:05<00:01, 208.81it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1180/1522 [00:06<00:01, 210.04it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1202/1522 [00:06<00:01, 211.49it/s] 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1240/1522 [00:06<00:01, 252.06it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1273/1522 [00:06<00:00, 257.22it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1303/1522 [00:06<00:00, 262.17it/s] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1330/1522 [00:06<00:00, 256.77it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1356/1522 [00:06<00:00, 242.46it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1381/1522 [00:07<00:02, 62.52it/s] 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1407/1522 [00:08<00:01, 80.03it/s] 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1440/1522 [00:08<00:00, 106.76it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1466/1522 [00:08<00:00, 127.05it/s] 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1492/1522 [00:08<00:00, 147.27it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1522/1522 [00:08<00:00, 181.10it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_018/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...