File size: 7,302 Bytes
baa3847 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | 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 130058 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/00_traj_1331.5.json.gz
Loading a file takes 49.94s
Creating data frames takes 24.42s
Filling data types and values takes 8.24s
Processing a file takes 18.03s
Concatenating time series takes 0.38s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/01_traj_2165.0.json.gz
Loading a file takes 55.44s
Creating data frames takes 58.93s
Filling data types and values takes 6.85s
Processing a file takes 18.01s
Concatenating time series takes 0.28s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/02_traj_2963.5.json.gz
Loading a file takes 55.97s
Creating data frames takes 28.46s
Filling data types and values takes 5.92s
Processing a file takes 19.31s
Concatenating time series takes 0.26s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/03_traj_3743.0.json.gz
Loading a file takes 57.02s
Creating data frames takes 30.44s
Filling data types and values takes 5.87s
Processing a file takes 17.63s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/04_traj_4513.5.json.gz
Loading a file takes 51.68s
Creating data frames takes 27.72s
Filling data types and values takes 5.50s
Processing a file takes 18.44s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/05_traj_5280.0.json.gz
Loading a file takes 46.68s
Creating data frames takes 42.14s
Filling data types and values takes 6.99s
Processing a file takes 27.71s
Concatenating time series takes 0.44s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/06_traj_6030.5.json.gz
Loading a file takes 48.92s
Creating data frames takes 41.64s
Filling data types and values takes 6.04s
Processing a file takes 22.30s
Concatenating time series takes 0.53s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/07_traj_6799.0.json.gz
Loading a file takes 56.95s
Creating data frames takes 33.51s
Filling data types and values takes 6.00s
Processing a file takes 18.87s
Concatenating time series takes 0.72s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/08_traj_end.json.gz
Loading a file takes 47.73s
Creating data frames takes 21.07s
Filling data types and values takes 5.07s
Processing a file takes 18.32s
Concatenating time series takes 0.51s
Saving all the section time series takes 81.02s
Saving all the junction time series takes 11.24s
Saving network entrance and exit takes 0.09s
Aggregating the raw statistics to different intervals...
0%| | 0/1519 [00:00<?, ?it/s]
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2%|β | 24/1519 [00:00<00:23, 63.69it/s]
4%|β | 66/1519 [00:00<00:09, 161.27it/s]
6%|β | 97/1519 [00:00<00:07, 199.40it/s]
9%|β | 136/1519 [00:00<00:05, 251.29it/s]
11%|β | 167/1519 [00:00<00:05, 239.89it/s]
13%|ββ | 195/1519 [00:01<00:05, 246.24it/s]
15%|ββ | 223/1519 [00:01<00:05, 247.95it/s]
17%|ββ | 257/1519 [00:01<00:04, 267.25it/s]
19%|ββ | 287/1519 [00:01<00:04, 256.70it/s]
21%|ββ | 315/1519 [00:02<00:14, 83.79it/s]
23%|βββ | 348/1519 [00:02<00:10, 110.28it/s]
25%|βββ | 385/1519 [00:02<00:07, 145.03it/s]
27%|βββ | 413/1519 [00:02<00:06, 165.54it/s]
29%|βββ | 441/1519 [00:02<00:05, 185.03it/s]
31%|βββ | 469/1519 [00:02<00:05, 198.72it/s]
33%|ββββ | 496/1519 [00:02<00:05, 196.97it/s]
34%|ββββ | 521/1519 [00:03<00:05, 199.60it/s]
36%|ββββ | 545/1519 [00:03<00:05, 186.45it/s]
37%|ββββ | 566/1519 [00:03<00:05, 172.69it/s]
39%|ββββ | 592/1519 [00:03<00:04, 188.31it/s]
40%|ββββ | 613/1519 [00:03<00:04, 182.98it/s]
42%|βββββ | 638/1519 [00:03<00:04, 198.19it/s]
44%|βββββ | 663/1519 [00:03<00:04, 207.18it/s]
45%|βββββ | 688/1519 [00:03<00:04, 207.69it/s]
47%|βββββ | 714/1519 [00:04<00:03, 219.50it/s]
49%|βββββ | 737/1519 [00:04<00:03, 220.43it/s]
50%|βββββ | 760/1519 [00:04<00:03, 211.38it/s]
51%|ββββββ | 782/1519 [00:04<00:03, 195.84it/s]
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55%|ββββββ | 830/1519 [00:04<00:03, 211.40it/s]
56%|ββββββ | 856/1519 [00:04<00:03, 215.97it/s]
58%|ββββββ | 878/1519 [00:04<00:02, 217.04it/s]
59%|ββββββ | 900/1519 [00:04<00:03, 206.07it/s]
61%|ββββββ | 921/1519 [00:05<00:02, 200.61it/s]
62%|βββββββ | 942/1519 [00:05<00:02, 198.48it/s]
63%|βββββββ | 963/1519 [00:05<00:02, 200.38it/s]
65%|βββββββ | 984/1519 [00:05<00:02, 193.40it/s]
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68%|βββββββ | 1032/1519 [00:05<00:02, 207.88it/s]
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71%|βββββββ | 1076/1519 [00:05<00:02, 209.12it/s]
72%|ββββββββ | 1100/1519 [00:05<00:01, 213.51it/s]
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75%|ββββββββ | 1142/1519 [00:06<00:01, 195.50it/s]
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79%|ββββββββ | 1198/1519 [00:06<00:01, 232.11it/s]
81%|ββββββββ | 1227/1519 [00:06<00:01, 245.44it/s]
83%|βββββββββ | 1258/1519 [00:06<00:00, 263.24it/s]
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95%|ββββββββββ| 1450/1519 [00:08<00:00, 107.20it/s]
97%|ββββββββββ| 1476/1519 [00:08<00:00, 132.29it/s]
99%|ββββββββββ| 1497/1519 [00:08<00:00, 146.46it/s]
100%|ββββββββββ| 1519/1519 [00:09<00:00, 167.89it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...
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