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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 124130 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_016/trajectory/00_traj_1332.5.json.gz
Loading a file takes 49.81s
Creating data frames takes 19.40s
Filling data types and values takes 5.82s

 Processing a file takes 17.77s
Concatenating time series takes 0.40s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_016/trajectory/01_traj_2220.0.json.gz
Loading a file takes 55.64s
Creating data frames takes 26.77s
Filling data types and values takes 5.81s

 Processing a file takes 18.38s
Concatenating time series takes 0.34s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_016/trajectory/02_traj_3100.0.json.gz
Loading a file takes 57.95s
Creating data frames takes 20.52s
Filling data types and values takes 5.75s

 Processing a file takes 17.87s
Concatenating time series takes 0.32s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_016/trajectory/03_traj_3984.5.json.gz
Loading a file takes 54.15s
Creating data frames takes 21.92s
Filling data types and values takes 5.72s

 Processing a file takes 18.04s
Concatenating time series takes 0.48s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_016/trajectory/04_traj_4857.5.json.gz
Loading a file takes 58.56s
Creating data frames takes 20.91s
Filling data types and values takes 5.74s

 Processing a file takes 18.61s
Concatenating time series takes 0.62s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_016/trajectory/05_traj_5718.5.json.gz
Loading a file takes 55.35s
Creating data frames takes 20.63s
Filling data types and values takes 5.61s

 Processing a file takes 31.01s
Concatenating time series takes 0.67s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_016/trajectory/06_traj_6583.0.json.gz
Loading a file takes 65.10s
Creating data frames takes 27.31s
Filling data types and values takes 5.57s

 Processing a file takes 19.22s
Concatenating time series takes 0.69s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_016/trajectory/07_traj_end.json.gz
Loading a file takes 55.01s
Creating data frames takes 19.29s
Filling data types and values takes 5.38s

 Processing a file takes 19.43s
Concatenating time series takes 0.77s
Saving all the section time series takes 75.11s
Saving all the junction time series takes 10.47s
Saving network entrance and exit takes 0.09s
Aggregating the raw statistics to different intervals...

  0%|          | 0/1521 [00:00<?, ?it/s]
  0%|          | 1/1521 [00:00<10:43,  2.36it/s]
  0%|          | 2/1521 [00:01<18:25,  1.37it/s]
 17%|β–ˆβ–‹        | 263/1521 [00:01<00:04, 268.20it/s]
 24%|β–ˆβ–ˆβ–       | 370/1521 [00:02<00:08, 137.64it/s]
 29%|β–ˆβ–ˆβ–‰       | 438/1521 [00:03<00:06, 157.73it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 492/1521 [00:03<00:06, 157.81it/s]
 35%|β–ˆβ–ˆβ–ˆβ–Œ      | 533/1521 [00:03<00:06, 162.67it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 567/1521 [00:03<00:05, 166.25it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 596/1521 [00:04<00:05, 174.19it/s]
 41%|β–ˆβ–ˆβ–ˆβ–ˆ      | 623/1521 [00:04<00:04, 184.12it/s]
 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 649/1521 [00:04<00:04, 195.47it/s]
 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 675/1521 [00:04<00:04, 204.25it/s]
 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 701/1521 [00:04<00:03, 212.26it/s]
 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š     | 729/1521 [00:04<00:03, 223.98it/s]
 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 755/1521 [00:04<00:03, 206.76it/s]
 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 778/1521 [00:04<00:03, 198.05it/s]
 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 800/1521 [00:04<00:03, 199.07it/s]
 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 821/1521 [00:05<00:03, 199.45it/s]
 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 842/1521 [00:05<00:03, 197.12it/s]
 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 864/1521 [00:05<00:03, 199.45it/s]
 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 885/1521 [00:05<00:03, 198.72it/s]
 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 906/1521 [00:05<00:03, 197.21it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 926/1521 [00:05<00:03, 185.31it/s]
 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 945/1521 [00:05<00:03, 181.90it/s]
 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 978/1521 [00:05<00:02, 221.17it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1008/1521 [00:05<00:02, 233.60it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1032/1521 [00:06<00:02, 232.31it/s]
 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1057/1521 [00:06<00:02, 223.65it/s]
 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1092/1521 [00:06<00:01, 254.13it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 1118/1521 [00:06<00:01, 244.37it/s]
 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 1143/1521 [00:06<00:01, 227.96it/s]
 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 1174/1521 [00:06<00:01, 242.89it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 1199/1521 [00:06<00:01, 244.32it/s]
 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 1224/1521 [00:06<00:01, 240.84it/s]
 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1255/1521 [00:06<00:01, 259.87it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1282/1521 [00:07<00:00, 254.26it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1308/1521 [00:07<00:00, 249.41it/s]
 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1334/1521 [00:07<00:00, 234.19it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1358/1521 [00:08<00:02, 64.62it/s] 
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1378/1521 [00:08<00:01, 77.67it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1400/1521 [00:08<00:01, 93.89it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1421/1521 [00:08<00:00, 110.38it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1444/1521 [00:08<00:00, 128.77it/s]
 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1466/1521 [00:08<00:00, 141.99it/s]
 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1500/1521 [00:08<00:00, 183.98it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1521/1521 [00:09<00:00, 168.52it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_016/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...