SimBarca / simulation_sessions /session_002 /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 113170 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_002/trajectory/00_traj_1375.5.json.gz
Loading a file takes 53.23s
Creating data frames takes 41.18s
Filling data types and values takes 7.11s
Processing a file takes 18.31s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_002/trajectory/01_traj_2389.0.json.gz
Loading a file takes 53.32s
Creating data frames takes 32.81s
Filling data types and values takes 5.77s
Processing a file takes 19.41s
Concatenating time series takes 0.31s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_002/trajectory/02_traj_3377.0.json.gz
Loading a file takes 56.22s
Creating data frames takes 30.36s
Filling data types and values takes 5.53s
Processing a file takes 18.61s
Concatenating time series takes 0.36s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_002/trajectory/03_traj_4373.0.json.gz
Loading a file takes 52.44s
Creating data frames takes 27.26s
Filling data types and values takes 5.34s
Processing a file takes 18.55s
Concatenating time series takes 0.48s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_002/trajectory/04_traj_5353.0.json.gz
Loading a file takes 56.50s
Creating data frames takes 27.16s
Filling data types and values takes 5.70s
Processing a file takes 18.23s
Concatenating time series takes 0.57s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_002/trajectory/05_traj_6344.5.json.gz
Loading a file takes 56.49s
Creating data frames takes 23.33s
Filling data types and values takes 5.60s
Processing a file takes 19.24s
Concatenating time series takes 0.58s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_002/trajectory/06_traj_7397.5.json.gz
Loading a file takes 56.81s
Creating data frames takes 22.12s
Filling data types and values takes 5.65s
Processing a file takes 19.52s
Concatenating time series takes 0.67s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_002/trajectory/07_traj_end.json.gz
Loading a file takes 6.90s
Creating data frames takes 1.47s
Filling data types and values takes 0.28s
Processing a file takes 8.66s
Concatenating time series takes 0.59s
Saving all the section time series takes 75.62s
Saving all the junction time series takes 10.51s
Saving network entrance and exit takes 0.08s
Aggregating the raw statistics to different intervals...
0%| | 0/1515 [00:00<?, ?it/s] 0%| | 1/1515 [00:00<08:20, 3.03it/s] 0%| | 2/1515 [00:00<07:10, 3.51it/s] 0%| | 5/1515 [00:01<05:58, 4.21it/s] 17%|β–ˆβ–‹ | 256/1515 [00:01<00:04, 306.87it/s] 22%|β–ˆβ–ˆβ– | 332/1515 [00:02<00:07, 150.82it/s] 25%|β–ˆβ–ˆβ–Œ | 383/1515 [00:02<00:06, 175.23it/s] 28%|β–ˆβ–ˆβ–Š | 431/1515 [00:02<00:05, 189.24it/s] 31%|β–ˆβ–ˆβ–ˆ | 472/1515 [00:02<00:05, 199.02it/s] 34%|β–ˆβ–ˆβ–ˆβ–Ž | 508/1515 [00:03<00:05, 192.74it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 538/1515 [00:03<00:05, 188.43it/s] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 564/1515 [00:03<00:05, 183.89it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 588/1515 [00:03<00:04, 185.72it/s] 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 610/1515 [00:03<00:05, 174.91it/s] 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 636/1515 [00:03<00:04, 190.88it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 658/1515 [00:03<00:04, 194.01it/s] 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 680/1515 [00:04<00:04, 196.81it/s] 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 701/1515 [00:04<00:04, 195.11it/s] 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 724/1515 [00:04<00:03, 199.20it/s] 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 746/1515 [00:04<00:03, 202.99it/s] 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 767/1515 [00:04<00:03, 194.52it/s] 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 787/1515 [00:04<00:03, 192.44it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 807/1515 [00:04<00:03, 187.91it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 835/1515 [00:04<00:03, 212.51it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 863/1515 [00:04<00:02, 229.08it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 887/1515 [00:05<00:02, 226.41it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 910/1515 [00:05<00:03, 199.37it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 938/1515 [00:05<00:02, 216.80it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 972/1515 [00:05<00:02, 243.60it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1002/1515 [00:05<00:02, 252.79it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1028/1515 [00:05<00:01, 250.49it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1054/1515 [00:05<00:01, 251.15it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1080/1515 [00:05<00:01, 252.56it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1106/1515 [00:05<00:01, 242.67it/s] 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1131/1515 [00:06<00:01, 231.14it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1156/1515 [00:06<00:01, 235.11it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1188/1515 [00:06<00:01, 254.58it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1214/1515 [00:06<00:01, 247.30it/s] 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1248/1515 [00:06<00:00, 271.36it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1280/1515 [00:06<00:00, 285.00it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1309/1515 [00:06<00:00, 286.07it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1338/1515 [00:07<00:02, 73.53it/s] 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1359/1515 [00:07<00:01, 86.43it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1380/1515 [00:08<00:01, 98.79it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1403/1515 [00:08<00:00, 117.45it/s] 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1432/1515 [00:08<00:00, 142.25it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1456/1515 [00:08<00:00, 154.39it/s] 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1478/1515 [00:08<00:00, 163.80it/s] 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 1504/1515 [00:08<00:00, 184.67it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1515/1515 [00:08<00:00, 176.47it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_002/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...