SimBarca / simulation_sessions /session_022 /processing_log.log
Greatriver's picture
Upload folder using huggingface_hub
baa3847 verified
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 124822 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_022/trajectory/00_traj_1356.5.json.gz
Loading a file takes 53.58s
Creating data frames takes 20.03s
Filling data types and values takes 5.83s
Processing a file takes 18.42s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_022/trajectory/01_traj_2214.0.json.gz
Loading a file takes 56.99s
Creating data frames takes 22.02s
Filling data types and values takes 5.68s
Processing a file takes 17.54s
Concatenating time series takes 0.29s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_022/trajectory/02_traj_3031.5.json.gz
Loading a file takes 57.60s
Creating data frames takes 21.26s
Filling data types and values takes 5.61s
Processing a file takes 18.31s
Concatenating time series takes 0.31s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_022/trajectory/03_traj_3861.0.json.gz
Loading a file takes 53.47s
Creating data frames takes 21.47s
Filling data types and values takes 5.76s
Processing a file takes 17.88s
Concatenating time series takes 0.48s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_022/trajectory/04_traj_4670.0.json.gz
Loading a file takes 57.30s
Creating data frames takes 25.45s
Filling data types and values takes 5.91s
Processing a file takes 18.26s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_022/trajectory/05_traj_5466.0.json.gz
Loading a file takes 54.26s
Creating data frames takes 25.09s
Filling data types and values takes 5.77s
Processing a file takes 32.16s
Concatenating time series takes 0.48s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_022/trajectory/06_traj_6259.5.json.gz
Loading a file takes 62.75s
Creating data frames takes 29.89s
Filling data types and values takes 5.84s
Processing a file takes 22.31s
Concatenating time series takes 0.44s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_022/trajectory/07_traj_7083.5.json.gz
Loading a file takes 59.29s
Creating data frames takes 26.82s
Filling data types and values takes 6.33s
Processing a file takes 18.65s
Concatenating time series takes 0.71s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_022/trajectory/08_traj_end.json.gz
Loading a file takes 22.77s
Creating data frames takes 9.47s
Filling data types and values takes 2.40s
Processing a file takes 28.82s
Concatenating time series takes 0.32s
Saving all the section time series takes 77.38s
Saving all the junction time series takes 11.41s
Saving network entrance and exit takes 0.10s
Aggregating the raw statistics to different intervals...
0%| | 0/1517 [00:00<?, ?it/s] 0%| | 1/1517 [00:00<09:15, 2.73it/s] 1%|▏ | 21/1517 [00:00<00:25, 57.68it/s] 3%|β–Ž | 52/1517 [00:00<00:11, 126.87it/s] 6%|β–Œ | 94/1517 [00:00<00:06, 204.21it/s] 9%|β–‰ | 134/1517 [00:00<00:05, 255.22it/s] 11%|β–ˆ | 165/1517 [00:00<00:05, 255.10it/s] 13%|β–ˆβ–Ž | 194/1517 [00:01<00:05, 264.14it/s] 15%|β–ˆβ– | 224/1517 [00:01<00:04, 274.11it/s] 17%|β–ˆβ–‹ | 262/1517 [00:01<00:04, 301.95it/s] 19%|β–ˆβ–‰ | 294/1517 [00:01<00:04, 296.03it/s] 21%|β–ˆβ–ˆβ– | 325/1517 [00:02<00:11, 103.62it/s] 24%|β–ˆβ–ˆβ–Ž | 358/1517 [00:02<00:08, 131.53it/s] 27%|β–ˆβ–ˆβ–‹ | 403/1517 [00:02<00:06, 178.83it/s] 29%|β–ˆβ–ˆβ–Š | 435/1517 [00:02<00:05, 194.25it/s] 31%|β–ˆβ–ˆβ–ˆ | 465/1517 [00:02<00:04, 210.98it/s] 33%|β–ˆβ–ˆβ–ˆβ–Ž | 494/1517 [00:02<00:04, 206.29it/s] 34%|β–ˆβ–ˆβ–ˆβ– | 521/1517 [00:02<00:04, 209.33it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 546/1517 [00:02<00:04, 199.90it/s] 38%|β–ˆβ–ˆβ–ˆβ–Š | 569/1517 [00:03<00:04, 193.94it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 592/1517 [00:03<00:04, 201.85it/s] 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 615/1517 [00:03<00:04, 204.43it/s] 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 643/1517 [00:03<00:03, 221.41it/s] 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 672/1517 [00:03<00:03, 238.44it/s] 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 697/1517 [00:03<00:03, 237.52it/s] 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 722/1517 [00:03<00:03, 234.31it/s] 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 746/1517 [00:03<00:03, 235.23it/s] 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 770/1517 [00:03<00:03, 223.17it/s] 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 794/1517 [00:04<00:03, 226.20it/s] 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 817/1517 [00:04<00:03, 224.56it/s] 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 844/1517 [00:04<00:02, 234.95it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 872/1517 [00:04<00:02, 243.47it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 897/1517 [00:04<00:02, 244.33it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 922/1517 [00:04<00:02, 245.19it/s] 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 952/1517 [00:04<00:02, 258.77it/s] 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 981/1517 [00:04<00:02, 260.61it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1008/1517 [00:04<00:02, 232.23it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1032/1517 [00:05<00:02, 215.37it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1057/1517 [00:05<00:02, 224.31it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1085/1517 [00:05<00:01, 238.39it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1110/1517 [00:05<00:01, 238.42it/s] 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1140/1517 [00:05<00:01, 254.00it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1174/1517 [00:05<00:01, 273.02it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1204/1517 [00:05<00:01, 278.30it/s] 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1234/1517 [00:05<00:00, 283.85it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1263/1517 [00:05<00:00, 284.56it/s] 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1293/1517 [00:05<00:00, 287.39it/s] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1322/1517 [00:06<00:00, 284.60it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1351/1517 [00:06<00:00, 276.40it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1379/1517 [00:07<00:01, 81.98it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1407/1517 [00:07<00:01, 102.79it/s] 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1435/1517 [00:07<00:00, 125.84it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1463/1517 [00:07<00:00, 147.90it/s] 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1491/1517 [00:07<00:00, 167.75it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:07<00:00, 199.86it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_022/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...