SimBarca / simulation_sessions /session_003 /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 117612 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/00_traj_1380.5.json.gz
Loading a file takes 53.40s
Creating data frames takes 21.35s
Filling data types and values takes 5.99s
Processing a file takes 18.63s
Concatenating time series takes 0.55s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/01_traj_2320.5.json.gz
Loading a file takes 54.84s
Creating data frames takes 21.45s
Filling data types and values takes 4.64s
Processing a file takes 17.04s
Concatenating time series takes 0.26s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/02_traj_3228.5.json.gz
Loading a file takes 56.31s
Creating data frames takes 22.35s
Filling data types and values takes 4.88s
Processing a file takes 18.19s
Concatenating time series takes 0.37s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/03_traj_4152.5.json.gz
Loading a file takes 51.84s
Creating data frames takes 21.17s
Filling data types and values takes 5.05s
Processing a file takes 18.88s
Concatenating time series takes 0.37s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/04_traj_5084.0.json.gz
Loading a file takes 55.01s
Creating data frames takes 22.96s
Filling data types and values takes 5.07s
Processing a file takes 18.37s
Concatenating time series takes 0.48s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/05_traj_6001.0.json.gz
Loading a file takes 51.28s
Creating data frames takes 22.67s
Filling data types and values takes 5.31s
Processing a file takes 21.91s
Concatenating time series takes 0.54s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/06_traj_6907.5.json.gz
Loading a file takes 62.20s
Creating data frames takes 26.72s
Filling data types and values takes 5.62s
Processing a file takes 20.05s
Concatenating time series takes 0.75s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/07_traj_end.json.gz
Loading a file takes 32.43s
Creating data frames takes 14.23s
Filling data types and values takes 2.76s
Processing a file takes 16.95s
Concatenating time series takes 0.77s
Saving all the section time series takes 70.41s
Saving all the junction time series takes 8.52s
Saving network entrance and exit takes 0.07s
Aggregating the raw statistics to different intervals...
0%| | 0/1517 [00:00<?, ?it/s] 0%| | 1/1517 [00:00<08:39, 2.92it/s] 0%| | 5/1517 [00:00<01:52, 13.43it/s] 3%|β–Ž | 43/1517 [00:00<00:12, 116.75it/s] 5%|β–Œ | 79/1517 [00:00<00:07, 184.21it/s] 7%|β–‹ | 110/1517 [00:00<00:06, 216.91it/s] 9%|β–‰ | 136/1517 [00:00<00:06, 222.35it/s] 11%|β–ˆ | 162/1517 [00:01<00:06, 206.29it/s] 12%|β–ˆβ– | 189/1517 [00:01<00:06, 219.69it/s] 14%|β–ˆβ– | 219/1517 [00:01<00:05, 235.66it/s] 17%|β–ˆβ–‹ | 257/1517 [00:01<00:04, 261.70it/s] 19%|β–ˆβ–‰ | 285/1517 [00:01<00:04, 256.95it/s] 21%|β–ˆβ–ˆ | 313/1517 [00:01<00:04, 262.30it/s] 22%|β–ˆβ–ˆβ– | 340/1517 [00:02<00:13, 85.46it/s] 26%|β–ˆβ–ˆβ–Œ | 389/1517 [00:02<00:08, 129.16it/s] 28%|β–ˆβ–ˆβ–Š | 420/1517 [00:02<00:07, 150.76it/s] 30%|β–ˆβ–ˆβ–‰ | 455/1517 [00:02<00:05, 182.02it/s] 32%|β–ˆβ–ˆβ–ˆβ– | 484/1517 [00:02<00:05, 188.64it/s] 34%|β–ˆβ–ˆβ–ˆβ–Ž | 511/1517 [00:03<00:05, 195.49it/s] 35%|β–ˆβ–ˆβ–ˆβ–Œ | 536/1517 [00:03<00:05, 190.40it/s] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 559/1517 [00:03<00:05, 185.47it/s] 38%|β–ˆβ–ˆβ–ˆβ–Š | 584/1517 [00:03<00:04, 197.85it/s] 40%|β–ˆβ–ˆβ–ˆβ–‰ | 606/1517 [00:03<00:04, 193.61it/s] 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 630/1517 [00:03<00:04, 202.94it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 657/1517 [00:03<00:03, 217.43it/s] 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 684/1517 [00:03<00:03, 229.59it/s] 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 712/1517 [00:03<00:03, 243.21it/s] 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 738/1517 [00:04<00:03, 243.68it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 763/1517 [00:04<00:03, 232.64it/s] 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 787/1517 [00:04<00:03, 228.55it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 811/1517 [00:04<00:03, 218.58it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 837/1517 [00:04<00:03, 224.13it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 864/1517 [00:04<00:02, 236.58it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 892/1517 [00:04<00:02, 247.07it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 917/1517 [00:04<00:02, 240.19it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 943/1517 [00:04<00:02, 245.35it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 977/1517 [00:05<00:02, 263.43it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1006/1517 [00:05<00:01, 269.14it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1033/1517 [00:05<00:01, 260.78it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1062/1517 [00:05<00:01, 264.71it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1093/1517 [00:05<00:01, 277.10it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1121/1517 [00:05<00:01, 264.85it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1155/1517 [00:05<00:01, 283.48it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1186/1517 [00:05<00:01, 269.62it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1220/1517 [00:05<00:01, 287.20it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1255/1517 [00:06<00:00, 303.91it/s] 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1288/1517 [00:06<00:00, 307.89it/s] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1320/1517 [00:06<00:00, 298.84it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1351/1517 [00:06<00:00, 292.67it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1381/1517 [00:07<00:01, 82.12it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1410/1517 [00:07<00:01, 103.02it/s] 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1434/1517 [00:07<00:00, 115.28it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1461/1517 [00:07<00:00, 136.10it/s] 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1488/1517 [00:07<00:00, 158.15it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:07<00:00, 192.65it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...