| INFO: Pandarallel will run on 8 workers. |
| INFO: Pandarallel will use Memory file system to transfer data between the main process and workers. |
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| Selecting 5.0% vehicles from 135601 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/trajectory/00_traj_1325.5.json.gz |
| Loading a file takes 51.29s |
| Creating data frames takes 20.06s |
| Filling data types and values takes 5.84s |
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|
| Processing a file takes 18.46s |
| Concatenating time series takes 0.41s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/trajectory/01_traj_2090.5.json.gz |
| Loading a file takes 55.50s |
| Creating data frames takes 23.68s |
| Filling data types and values takes 5.80s |
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| Processing a file takes 17.77s |
| Concatenating time series takes 0.27s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/trajectory/02_traj_2826.0.json.gz |
| Loading a file takes 55.43s |
| Creating data frames takes 24.68s |
| Filling data types and values takes 5.86s |
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|
| Processing a file takes 17.54s |
| Concatenating time series takes 0.25s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/trajectory/03_traj_3516.0.json.gz |
| Loading a file takes 53.19s |
| Creating data frames takes 24.25s |
| Filling data types and values takes 5.87s |
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| Processing a file takes 17.28s |
| Concatenating time series takes 0.40s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/trajectory/04_traj_4213.0.json.gz |
| Loading a file takes 53.82s |
| Creating data frames takes 21.36s |
| Filling data types and values takes 5.90s |
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|
| Processing a file takes 19.10s |
| Concatenating time series takes 0.51s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/trajectory/05_traj_4913.5.json.gz |
| Loading a file takes 55.48s |
| Creating data frames takes 25.57s |
| Filling data types and values takes 5.93s |
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|
| Processing a file takes 28.04s |
| Concatenating time series takes 0.55s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/trajectory/06_traj_5584.0.json.gz |
| Loading a file takes 57.78s |
| Creating data frames takes 24.33s |
| Filling data types and values takes 5.84s |
|
|
| Processing a file takes 21.39s |
| Concatenating time series takes 0.64s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/trajectory/07_traj_6248.5.json.gz |
| Loading a file takes 57.01s |
| Creating data frames takes 23.00s |
| Filling data types and values takes 6.41s |
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|
| Processing a file takes 18.98s |
| Concatenating time series takes 0.54s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/trajectory/08_traj_6921.5.json.gz |
| Loading a file takes 60.48s |
| Creating data frames takes 22.89s |
| Filling data types and values takes 5.91s |
|
|
| Processing a file takes 18.47s |
| Concatenating time series takes 0.56s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/trajectory/09_traj_end.json.gz |
| Loading a file takes 53.13s |
| Creating data frames takes 19.69s |
| Filling data types and values takes 5.27s |
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|
| Processing a file takes 17.52s |
| Concatenating time series takes 0.64s |
| Saving all the section time series takes 86.51s |
| Saving all the junction time series takes 12.47s |
| Saving network entrance and exit takes 0.10s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1520 [00:00<?, ?it/s]
0%| | 1/1520 [00:00<11:01, 2.30it/s]
2%|β | 24/1520 [00:00<00:26, 56.41it/s]
4%|β | 59/1520 [00:00<00:11, 130.76it/s]
6%|β | 94/1520 [00:00<00:07, 188.38it/s]
8%|β | 122/1520 [00:00<00:06, 208.16it/s]
10%|β | 152/1520 [00:00<00:06, 226.25it/s]
12%|ββ | 179/1520 [00:01<00:06, 218.17it/s]
13%|ββ | 204/1520 [00:01<00:06, 219.07it/s]
15%|ββ | 233/1520 [00:01<00:05, 235.56it/s]
17%|ββ | 263/1520 [00:01<00:05, 241.46it/s]
19%|ββ | 291/1520 [00:01<00:04, 247.87it/s]
21%|ββ | 317/1520 [00:02<00:15, 76.15it/s]
23%|βββ | 349/1520 [00:02<00:11, 101.66it/s]
25%|βββ | 382/1520 [00:02<00:08, 131.03it/s]
27%|βββ | 411/1520 [00:02<00:07, 154.57it/s]
29%|βββ | 437/1520 [00:02<00:06, 172.38it/s]
30%|βββ | 463/1520 [00:03<00:05, 186.52it/s]
32%|ββββ | 488/1520 [00:03<00:05, 193.68it/s]
34%|ββββ | 512/1520 [00:03<00:05, 200.04it/s]
35%|ββββ | 536/1520 [00:03<00:05, 192.51it/s]
37%|ββββ | 558/1520 [00:03<00:05, 181.64it/s]
38%|ββββ | 578/1520 [00:03<00:05, 183.54it/s]
40%|ββββ | 601/1520 [00:03<00:04, 188.81it/s]
41%|ββββ | 625/1520 [00:03<00:04, 201.50it/s]
43%|βββββ | 652/1520 [00:03<00:04, 209.47it/s]
45%|βββββ | 684/1520 [00:04<00:03, 234.90it/s]
47%|βββββ | 709/1520 [00:04<00:03, 228.08it/s]
48%|βββββ | 733/1520 [00:04<00:03, 221.29it/s]
50%|βββββ | 756/1520 [00:04<00:03, 216.34it/s]
51%|βββββ | 778/1520 [00:04<00:03, 210.28it/s]
53%|ββββββ | 800/1520 [00:04<00:03, 211.25it/s]
54%|ββββββ | 822/1520 [00:04<00:03, 213.29it/s]
56%|ββββββ | 844/1520 [00:04<00:03, 212.64it/s]
57%|ββββββ | 867/1520 [00:04<00:03, 208.39it/s]
59%|ββββββ | 893/1520 [00:05<00:02, 217.43it/s]
60%|ββββββ | 917/1520 [00:05<00:02, 222.56it/s]
62%|βββββββ | 940/1520 [00:05<00:02, 222.24it/s]
64%|βββββββ | 970/1520 [00:05<00:02, 230.82it/s]
66%|βββββββ | 998/1520 [00:05<00:02, 243.40it/s]
67%|βββββββ | 1023/1520 [00:05<00:02, 232.75it/s]
69%|βββββββ | 1047/1520 [00:05<00:02, 221.10it/s]
71%|βββββββ | 1072/1520 [00:05<00:01, 224.52it/s]
73%|ββββββββ | 1105/1520 [00:05<00:01, 246.12it/s]
74%|ββββββββ | 1130/1520 [00:06<00:01, 238.90it/s]
76%|ββββββββ | 1156/1520 [00:06<00:01, 240.30it/s]
78%|ββββββββ | 1183/1520 [00:06<00:01, 231.45it/s]
80%|ββββββββ | 1213/1520 [00:06<00:01, 248.42it/s]
82%|βββββββββ | 1243/1520 [00:06<00:01, 253.16it/s]
84%|βββββββββ | 1271/1520 [00:06<00:00, 259.02it/s]
85%|βββββββββ | 1298/1520 [00:06<00:00, 261.85it/s]
87%|βββββββββ | 1325/1520 [00:06<00:00, 242.66it/s]
89%|βββββββββ | 1350/1520 [00:06<00:00, 220.66it/s]
90%|βββββββββ | 1373/1520 [00:08<00:02, 62.64it/s]
92%|ββββββββββ| 1393/1520 [00:08<00:01, 74.69it/s]
93%|ββββββββββ| 1419/1520 [00:08<00:01, 95.79it/s]
95%|ββββββββββ| 1444/1520 [00:08<00:00, 116.78it/s]
96%|ββββββββββ| 1466/1520 [00:08<00:00, 133.52it/s]
98%|ββββββββββ| 1489/1520 [00:08<00:00, 152.04it/s]
100%|ββββββββββ| 1520/1520 [00:08<00:00, 175.61it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_040/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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