| 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 136424 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/00_traj_1328.0.json.gz |
| Loading a file takes 51.28s |
| Creating data frames takes 19.18s |
| Filling data types and values takes 5.85s |
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|
| Processing a file takes 17.43s |
| Concatenating time series takes 0.43s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/01_traj_2101.5.json.gz |
| Loading a file takes 57.25s |
| Creating data frames takes 20.77s |
| Filling data types and values takes 5.65s |
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|
| Processing a file takes 16.37s |
| Concatenating time series takes 0.27s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/02_traj_2846.5.json.gz |
| Loading a file takes 55.02s |
| Creating data frames takes 19.08s |
| Filling data types and values takes 5.44s |
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|
| Processing a file takes 16.34s |
| Concatenating time series takes 0.26s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/03_traj_3578.0.json.gz |
| Loading a file takes 50.90s |
| Creating data frames takes 28.51s |
| Filling data types and values takes 6.70s |
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|
| Processing a file takes 17.64s |
| Concatenating time series takes 0.39s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/04_traj_4322.5.json.gz |
| Loading a file takes 58.40s |
| Creating data frames takes 23.95s |
| Filling data types and values takes 5.65s |
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|
| Processing a file takes 18.51s |
| Concatenating time series takes 0.49s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/05_traj_5082.0.json.gz |
| Loading a file takes 55.47s |
| Creating data frames takes 21.87s |
| Filling data types and values takes 5.61s |
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|
| Processing a file takes 30.84s |
| Concatenating time series takes 0.44s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/06_traj_5824.0.json.gz |
| Loading a file takes 63.64s |
| Creating data frames takes 23.89s |
| Filling data types and values takes 5.54s |
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|
| Processing a file takes 34.56s |
| Concatenating time series takes 0.56s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/07_traj_6568.0.json.gz |
| Loading a file takes 65.26s |
| Creating data frames takes 20.16s |
| Filling data types and values takes 5.30s |
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|
| Processing a file takes 34.06s |
| Concatenating time series takes 0.53s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/08_traj_7333.5.json.gz |
| Loading a file takes 60.90s |
| Creating data frames takes 20.58s |
| Filling data types and values takes 5.75s |
|
|
| Processing a file takes 21.76s |
| Concatenating time series takes 0.40s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/trajectory/09_traj_end.json.gz |
| Loading a file takes 10.58s |
| Creating data frames takes 3.59s |
| Filling data types and values takes 0.83s |
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|
| Processing a file takes 11.10s |
| Concatenating time series takes 0.49s |
| Saving all the section time series takes 76.88s |
| Saving all the junction time series takes 11.50s |
| Saving network entrance and exit takes 0.09s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1517 [00:00<?, ?it/s]
0%| | 1/1517 [00:00<10:18, 2.45it/s]
0%| | 5/1517 [00:00<02:10, 11.63it/s]
3%|β | 53/1517 [00:00<00:11, 132.33it/s]
5%|β | 82/1517 [00:00<00:08, 170.49it/s]
8%|β | 124/1517 [00:00<00:05, 236.36it/s]
10%|β | 154/1517 [00:00<00:05, 241.26it/s]
12%|ββ | 183/1517 [00:01<00:05, 239.86it/s]
14%|ββ | 210/1517 [00:01<00:05, 238.72it/s]
16%|ββ | 236/1517 [00:01<00:05, 223.36it/s]
17%|ββ | 260/1517 [00:01<00:05, 216.48it/s]
19%|ββ | 287/1517 [00:01<00:05, 227.27it/s]
21%|ββ | 311/1517 [00:01<00:05, 222.27it/s]
22%|βββ | 334/1517 [00:02<00:18, 65.07it/s]
24%|βββ | 365/1517 [00:02<00:12, 89.69it/s]
26%|βββ | 401/1517 [00:02<00:09, 123.58it/s]
28%|βββ | 427/1517 [00:02<00:07, 141.69it/s]
30%|βββ | 453/1517 [00:03<00:06, 156.82it/s]
31%|ββββ | 477/1517 [00:03<00:06, 169.74it/s]
33%|ββββ | 501/1517 [00:03<00:06, 167.43it/s]
34%|ββββ | 523/1517 [00:03<00:05, 172.21it/s]
36%|ββββ | 544/1517 [00:03<00:05, 172.43it/s]
37%|ββββ | 564/1517 [00:03<00:05, 167.65it/s]
38%|ββββ | 584/1517 [00:03<00:05, 174.68it/s]
40%|ββββ | 603/1517 [00:03<00:05, 164.81it/s]
41%|βββββ | 626/1517 [00:04<00:05, 173.40it/s]
43%|βββββ | 653/1517 [00:04<00:04, 197.99it/s]
45%|βββββ | 677/1517 [00:04<00:04, 208.30it/s]
46%|βββββ | 699/1517 [00:04<00:03, 207.43it/s]
48%|βββββ | 721/1517 [00:04<00:03, 200.41it/s]
49%|βββββ | 742/1517 [00:04<00:03, 201.87it/s]
50%|βββββ | 763/1517 [00:04<00:03, 196.50it/s]
52%|ββββββ | 786/1517 [00:04<00:03, 203.42it/s]
53%|ββββββ | 807/1517 [00:04<00:03, 200.94it/s]
55%|ββββββ | 832/1517 [00:05<00:03, 208.17it/s]
57%|ββββββ | 858/1517 [00:05<00:03, 211.99it/s]
58%|ββββββ | 886/1517 [00:05<00:02, 229.50it/s]
60%|ββββββ | 910/1517 [00:05<00:03, 201.82it/s]
61%|βββββββ | 931/1517 [00:05<00:02, 201.04it/s]
63%|βββββββ | 962/1517 [00:05<00:02, 229.19it/s]
65%|βββββββ | 986/1517 [00:05<00:02, 220.72it/s]
67%|βββββββ | 1011/1517 [00:05<00:02, 224.98it/s]
68%|βββββββ | 1034/1517 [00:05<00:02, 217.36it/s]
70%|βββββββ | 1056/1517 [00:06<00:02, 202.53it/s]
71%|βββββββ | 1077/1517 [00:06<00:02, 196.51it/s]
72%|ββββββββ | 1097/1517 [00:06<00:02, 194.18it/s]
74%|ββββββββ | 1117/1517 [00:06<00:02, 184.23it/s]
75%|ββββββββ | 1138/1517 [00:06<00:02, 188.12it/s]
77%|ββββββββ | 1164/1517 [00:06<00:01, 202.11it/s]
78%|ββββββββ | 1188/1517 [00:06<00:01, 203.28it/s]
80%|ββββββββ | 1211/1517 [00:06<00:01, 209.25it/s]
82%|βββββββββ | 1237/1517 [00:07<00:01, 216.02it/s]
84%|βββββββββ | 1270/1517 [00:07<00:01, 239.15it/s]
85%|βββββββββ | 1297/1517 [00:07<00:00, 244.44it/s]
87%|βββββββββ | 1322/1517 [00:07<00:00, 222.12it/s]
89%|βββββββββ | 1345/1517 [00:07<00:00, 217.27it/s]
90%|βββββββββ | 1367/1517 [00:08<00:02, 57.08it/s]
91%|βββββββββ | 1383/1517 [00:08<00:02, 66.15it/s]
93%|ββββββββββ| 1414/1517 [00:08<00:01, 93.41it/s]
95%|ββββββββββ| 1441/1517 [00:08<00:00, 116.10it/s]
97%|ββββββββββ| 1464/1517 [00:09<00:00, 133.70it/s]
98%|ββββββββββ| 1490/1517 [00:09<00:00, 153.52it/s]
100%|ββββββββββ| 1517/1517 [00:09<00:00, 164.76it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_025/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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