Note
Go to the end to download the full example code.
Benchmarking preprocessing with parallelization and serialization#
In this example, we compare the execution time and memory requirements of
preprocessing data with the parallelization and serialization functionalities
available in braindecode.preprocessing.preprocess().
We compare 4 cases:
Sequential, no serialization
Sequential, with serialization
Parallel, no serialization
Parallel, with serialization
Case 1 is the simplest approach, in which all recordings in a
braindecode.datasets.BaseConcatDataset are preprocessed one after the
other. In this scenario, braindecode.preprocessing.preprocess() acts
inplace, which means memory usage will likely stay stable (depending on the
preprocessing operations) if recordings have been preloaded. However, two
potential issues arise when working with large datasets: (1) if recordings have
not been preloaded before preprocessing, preprocess() will need to load them
and keep them in memory, in which case memory can become a bottleneck, and (2)
sequential preprocessing can take a considerable amount of time to run when
working with many recordings.
A solution to the first issue (memory usage) is to save the preprocessed data
to a file so it can be cleared from memory before moving on to the next
recording (case 2). The recordings can then be reloaded with preload=False
once they have all been saved to disk. This enables using the lazy loading
capabilities of braindecode.datasets.BaseConcatDataset and avoids
potential memory bottlenecks. The downside is that the writing to disk can take
some time and of course requires disk space.
A solution to the second issue (slow preprocessing) is to parallelize the preprocessing over multiple cores whenever possible (case 3). This can speed up preprocessing significantly. However, this approach will increase memory usage because of the way parallelization is implemented internally (with joblib, copies of (part of) the data must be made when sending arguments to parallel processes).
Finally, case 4 (combining parallelization and serialization) is likely to be both fast and memory efficient. As shown in this example, this remains a tradeoff though, and the selected configuration should depend on the size of the dataset and the specific operations applied to the recordings.
# Authors: Hubert Banville <hubert.jbanville@gmail.com>
#
# License: BSD (3-clause)
import time
import tempfile
from itertools import product
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import scale
from memory_profiler import memory_usage
from braindecode.datasets import SleepPhysionet
from braindecode.preprocessing import (
preprocess,
Preprocessor,
create_fixed_length_windows,
)
We create a function that goes through the usual three steps of data
preparation: (1) data loading, (2) continuous data preprocessing,
(3) windowing and (4) windowed data preprocessing. We use the
braindecode.datasets.SleepPhysionet dataset for testing purposes.
def prepare_data(n_recs, save, preload, n_jobs):
if save:
tmp_dir = tempfile.TemporaryDirectory()
save_dir = tmp_dir.name
else:
save_dir = None
# (1) Load the data
concat_ds = SleepPhysionet(
subject_ids=range(n_recs), recording_ids=[1], crop_wake_mins=30, preload=preload
)
sfreq = concat_ds.datasets[0].raw.info["sfreq"]
# (2) Preprocess the continuous data
preprocessors = [
Preprocessor("crop", tmin=10),
Preprocessor("filter", l_freq=None, h_freq=30),
]
preprocess(
concat_ds, preprocessors, save_dir=save_dir, overwrite=True, n_jobs=n_jobs
)
# (3) Window the data
windows_ds = create_fixed_length_windows(
concat_ds,
0,
None,
int(30 * sfreq),
int(30 * sfreq),
True,
preload=preload,
n_jobs=n_jobs,
)
# Preprocess the windowed data
preprocessors = [Preprocessor(scale, channel_wise=True)]
preprocess(
windows_ds, preprocessors, save_dir=save_dir, overwrite=True, n_jobs=n_jobs
)
Next, we can run our function and measure its run time and peak memory usage for each one of our 4 cases above. We call the function multiple times with each configuration to get better estimates.
Note
To better characterize the run time vs. memory usage tradeoff for your specific configuration (as this will differ based on available hardware, data size and preprocessing operations), we recommend adapting this example to your use case and running it on your machine.
n_repets = 2 # Number of repetitions
all_n_recs = 2 # Number of recordings to load and preprocess
all_n_jobs = [1, 2] # Number of parallel processes
results = list()
for _, n_recs, save, n_jobs in product(
range(n_repets), [all_n_recs], [True, False], all_n_jobs
):
start = time.time()
mem = max(memory_usage(proc=(prepare_data, [n_recs, save, False, n_jobs], {})))
time_taken = time.time() - start
results.append(
{
"n_recs": n_recs,
"max_mem": mem,
"save": save,
"n_jobs": n_jobs,
"time": time_taken,
}
)
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21%|ââââââââ | 10.0M/48.3M [00:24<01:33, 411kB/s]
21%|ââââââââ | 10.1M/48.3M [00:24<01:32, 415kB/s]
21%|ââââââââ | 10.1M/48.3M [00:24<01:32, 414kB/s]
21%|ââââââââ | 10.2M/48.3M [00:24<01:36, 395kB/s]
21%|ââââââââ | 10.2M/48.3M [00:24<01:34, 403kB/s]
21%|ââââââââ | 10.3M/48.3M [00:24<01:30, 422kB/s]
21%|âââââââââ | 10.3M/48.3M [00:24<01:33, 407kB/s]
21%|âââââââââ | 10.4M/48.3M [00:25<01:28, 427kB/s]
22%|âââââââââ | 10.4M/48.3M [00:25<01:28, 431kB/s]
22%|âââââââââ | 10.5M/48.3M [00:25<01:28, 426kB/s]
22%|âââââââââ | 10.5M/48.3M [00:25<01:32, 407kB/s]
22%|âââââââââ | 10.6M/48.3M [00:25<01:31, 413kB/s]
22%|âââââââââ | 10.6M/48.3M [00:25<01:30, 418kB/s]
22%|âââââââââ | 10.7M/48.3M [00:25<01:28, 427kB/s]
22%|âââââââââ | 10.7M/48.3M [00:25<01:29, 419kB/s]
22%|âââââââââ | 10.8M/48.3M [00:26<01:32, 408kB/s]
22%|âââââââââ | 10.8M/48.3M [00:26<01:34, 397kB/s]
23%|âââââââââ | 10.9M/48.3M [00:26<01:34, 397kB/s]
23%|âââââââââ | 10.9M/48.3M [00:26<01:32, 403kB/s]
23%|âââââââââ | 11.0M/48.3M [00:26<01:36, 388kB/s]
23%|âââââââââ | 11.0M/48.3M [00:26<01:27, 427kB/s]
23%|âââââââââ | 11.1M/48.3M [00:26<01:26, 431kB/s]
23%|âââââââââ | 11.1M/48.3M [00:26<01:31, 406kB/s]
23%|âââââââââ | 11.2M/48.3M [00:27<01:32, 402kB/s]
23%|âââââââââ | 11.2M/48.3M [00:27<01:34, 393kB/s]
23%|âââââââââ | 11.3M/48.3M [00:27<01:34, 394kB/s]
23%|âââââââââ | 11.3M/48.3M [00:27<01:33, 397kB/s]
24%|âââââââââ | 11.4M/48.3M [00:27<01:30, 407kB/s]
24%|âââââââââ | 11.4M/48.3M [00:27<01:29, 413kB/s]
24%|âââââââââ | 11.5M/48.3M [00:27<01:28, 416kB/s]
24%|âââââââââ | 11.5M/48.3M [00:27<01:28, 415kB/s]
24%|âââââââââ | 11.6M/48.3M [00:27<01:28, 418kB/s]
24%|ââââââââââ | 11.6M/48.3M [00:28<01:29, 409kB/s]
24%|ââââââââââ | 11.7M/48.3M [00:28<01:31, 400kB/s]
24%|ââââââââââ | 11.7M/48.3M [00:28<01:32, 397kB/s]
24%|ââââââââââ | 11.8M/48.3M [00:28<01:32, 396kB/s]
24%|ââââââââââ | 11.8M/48.3M [00:28<01:29, 408kB/s]
25%|ââââââââââ | 11.9M/48.3M [00:28<01:29, 407kB/s]
25%|ââââââââââ | 11.9M/48.3M [00:28<01:28, 413kB/s]
25%|ââââââââââ | 12.0M/48.3M [00:28<01:26, 420kB/s]
25%|ââââââââââ | 12.0M/48.3M [00:29<01:26, 422kB/s]
25%|ââââââââââ | 12.1M/48.3M [00:29<01:29, 403kB/s]
25%|ââââââââââ | 12.1M/48.3M [00:29<01:30, 400kB/s]
25%|ââââââââââ | 12.2M/48.3M [00:29<01:31, 395kB/s]
25%|ââââââââââ | 12.2M/48.3M [00:29<01:28, 408kB/s]
25%|ââââââââââ | 12.3M/48.3M [00:29<01:23, 430kB/s]
25%|ââââââââââ | 12.3M/48.3M [00:29<01:24, 428kB/s]
26%|ââââââââââ | 12.4M/48.3M [00:29<01:24, 423kB/s]
26%|ââââââââââ | 12.4M/48.3M [00:29<01:22, 437kB/s]
26%|ââââââââââ | 12.5M/48.3M [00:30<01:21, 438kB/s]
26%|ââââââââââ | 12.5M/48.3M [00:30<01:20, 443kB/s]
26%|ââââââââââ | 12.6M/48.3M [00:30<01:24, 426kB/s]
26%|ââââââââââ | 12.6M/48.3M [00:30<01:26, 414kB/s]
26%|ââââââââââ | 12.6M/48.3M [00:30<01:25, 415kB/s]
26%|ââââââââââ | 12.7M/48.3M [00:30<01:25, 415kB/s]
26%|ââââââââââ | 12.7M/48.3M [00:30<01:29, 397kB/s]
26%|ââââââââââ | 12.8M/48.3M [00:30<01:29, 396kB/s]
27%|ââââââââââ | 12.8M/48.3M [00:31<01:27, 408kB/s]
27%|ââââââââââ | 12.9M/48.3M [00:31<01:24, 421kB/s]
27%|âââââââââââ | 12.9M/48.3M [00:31<01:22, 428kB/s]
27%|âââââââââââ | 13.0M/48.3M [00:31<01:21, 434kB/s]
27%|âââââââââââ | 13.0M/48.3M [00:31<01:22, 426kB/s]
27%|âââââââââââ | 13.1M/48.3M [00:31<01:25, 414kB/s]
27%|âââââââââââ | 13.1M/48.3M [00:31<01:25, 411kB/s]
27%|âââââââââââ | 13.2M/48.3M [00:31<01:22, 427kB/s]
27%|âââââââââââ | 13.2M/48.3M [00:31<01:22, 427kB/s]
27%|âââââââââââ | 13.3M/48.3M [00:32<01:19, 439kB/s]
28%|âââââââââââ | 13.3M/48.3M [00:32<01:17, 451kB/s]
28%|âââââââââââ | 13.4M/48.3M [00:32<01:16, 459kB/s]
28%|âââââââââââ | 13.4M/48.3M [00:32<01:23, 418kB/s]
28%|âââââââââââ | 13.5M/48.3M [00:32<01:20, 430kB/s]
28%|âââââââââââ | 13.5M/48.3M [00:32<01:20, 430kB/s]
28%|âââââââââââ | 13.6M/48.3M [00:32<01:20, 431kB/s]
28%|âââââââââââ | 13.6M/48.3M [00:32<01:20, 430kB/s]
28%|âââââââââââ | 13.7M/48.3M [00:32<01:19, 437kB/s]
28%|âââââââââââ | 13.7M/48.3M [00:33<01:19, 435kB/s]
28%|âââââââââââ | 13.8M/48.3M [00:33<01:19, 434kB/s]
29%|âââââââââââ | 13.8M/48.3M [00:33<01:24, 406kB/s]
29%|âââââââââââ | 13.9M/48.3M [00:33<01:27, 393kB/s]
29%|âââââââââââ | 13.9M/48.3M [00:33<01:22, 419kB/s]
29%|âââââââââââ | 14.0M/48.3M [00:33<01:24, 408kB/s]
29%|âââââââââââ | 14.0M/48.3M [00:33<01:18, 440kB/s]
29%|âââââââââââ | 14.1M/48.3M [00:33<01:16, 448kB/s]
29%|âââââââââââ | 14.1M/48.3M [00:34<01:20, 427kB/s]
29%|ââââââââââââ | 14.2M/48.3M [00:34<01:19, 432kB/s]
29%|ââââââââââââ | 14.2M/48.3M [00:34<01:19, 429kB/s]
30%|ââââââââââââ | 14.3M/48.3M [00:34<01:19, 427kB/s]
30%|ââââââââââââ | 14.3M/48.3M [00:34<01:18, 435kB/s]
30%|ââââââââââââ | 14.4M/48.3M [00:34<01:17, 439kB/s]
30%|ââââââââââââ | 14.4M/48.3M [00:34<01:19, 425kB/s]
30%|ââââââââââââ | 14.5M/48.3M [00:34<01:18, 431kB/s]
30%|ââââââââââââ | 14.5M/48.3M [00:34<01:19, 423kB/s]
30%|ââââââââââââ | 14.6M/48.3M [00:35<01:18, 432kB/s]
30%|ââââââââââââ | 14.6M/48.3M [00:35<01:16, 438kB/s]
30%|ââââââââââââ | 14.7M/48.3M [00:35<01:17, 434kB/s]
30%|ââââââââââââ | 14.7M/48.3M [00:35<01:16, 439kB/s]
31%|ââââââââââââ | 14.8M/48.3M [00:35<01:16, 437kB/s]
31%|ââââââââââââ | 14.8M/48.3M [00:35<01:15, 446kB/s]
31%|ââââââââââââ | 14.9M/48.3M [00:35<01:16, 436kB/s]
31%|ââââââââââââ | 14.9M/48.3M [00:35<01:17, 434kB/s]
31%|ââââââââââââ | 15.0M/48.3M [00:35<01:17, 433kB/s]
31%|ââââââââââââ | 15.0M/48.3M [00:36<01:16, 434kB/s]
31%|ââââââââââââ | 15.1M/48.3M [00:36<01:20, 416kB/s]
31%|ââââââââââââ | 15.1M/48.3M [00:36<01:15, 443kB/s]
31%|ââââââââââââ | 15.2M/48.3M [00:36<01:14, 445kB/s]
31%|ââââââââââââ | 15.2M/48.3M [00:36<01:14, 444kB/s]
32%|ââââââââââââ | 15.3M/48.3M [00:36<01:18, 420kB/s]
32%|ââââââââââââ | 15.3M/48.3M [00:36<01:16, 429kB/s]
32%|ââââââââââââ | 15.4M/48.3M [00:36<01:17, 428kB/s]
32%|ââââââââââââ | 15.4M/48.3M [00:37<01:14, 443kB/s]
32%|âââââââââââââ | 15.5M/48.3M [00:37<01:13, 445kB/s]
32%|âââââââââââââ | 15.5M/48.3M [00:37<01:14, 443kB/s]
32%|âââââââââââââ | 15.6M/48.3M [00:37<01:14, 441kB/s]
32%|âââââââââââââ | 15.6M/48.3M [00:37<01:14, 439kB/s]
32%|âââââââââââââ | 15.7M/48.3M [00:37<01:14, 441kB/s]
32%|âââââââââââââ | 15.7M/48.3M [00:37<01:14, 436kB/s]
33%|âââââââââââââ | 15.8M/48.3M [00:37<01:17, 421kB/s]
33%|âââââââââââââ | 15.8M/48.3M [00:37<01:17, 421kB/s]
33%|âââââââââââââ | 15.9M/48.3M [00:38<01:14, 434kB/s]
33%|âââââââââââââ | 15.9M/48.3M [00:38<01:13, 441kB/s]
33%|âââââââââââââ | 16.0M/48.3M [00:38<01:12, 446kB/s]
33%|âââââââââââââ | 16.0M/48.3M [00:38<01:13, 439kB/s]
33%|âââââââââââââ | 16.1M/48.3M [00:38<01:13, 440kB/s]
33%|âââââââââââââ | 16.1M/48.3M [00:38<01:16, 420kB/s]
33%|âââââââââââââ | 16.2M/48.3M [00:38<01:16, 422kB/s]
34%|âââââââââââââ | 16.2M/48.3M [00:38<01:15, 426kB/s]
34%|âââââââââââââ | 16.3M/48.3M [00:38<01:14, 433kB/s]
34%|âââââââââââââ | 16.3M/48.3M [00:39<01:15, 426kB/s]
34%|âââââââââââââ | 16.4M/48.3M [00:39<01:17, 414kB/s]
34%|âââââââââââââ | 16.4M/48.3M [00:39<01:16, 417kB/s]
34%|âââââââââââââ | 16.4M/48.3M [00:39<01:13, 432kB/s]
34%|âââââââââââââ | 16.5M/48.3M [00:39<01:06, 479kB/s]
34%|âââââââââââââ | 16.6M/48.3M [00:39<01:11, 445kB/s]
34%|âââââââââââââ | 16.6M/48.3M [00:39<01:13, 431kB/s]
34%|âââââââââââââ | 16.6M/48.3M [00:39<01:17, 409kB/s]
35%|âââââââââââââ | 16.7M/48.3M [00:39<01:16, 413kB/s]
35%|ââââââââââââââ | 16.7M/48.3M [00:40<01:18, 400kB/s]
35%|ââââââââââââââ | 16.8M/48.3M [00:40<01:16, 412kB/s]
35%|ââââââââââââââ | 16.8M/48.3M [00:40<01:16, 412kB/s]
35%|ââââââââââââââ | 16.9M/48.3M [00:40<01:13, 425kB/s]
35%|ââââââââââââââ | 16.9M/48.3M [00:40<01:13, 428kB/s]
35%|ââââââââââââââ | 17.0M/48.3M [00:40<01:14, 419kB/s]
35%|ââââââââââââââ | 17.0M/48.3M [00:40<01:15, 412kB/s]
35%|ââââââââââââââ | 17.1M/48.3M [00:40<01:12, 433kB/s]
35%|ââââââââââââââ | 17.2M/48.3M [00:41<01:11, 439kB/s]
36%|ââââââââââââââ | 17.2M/48.3M [00:41<01:10, 439kB/s]
36%|ââââââââââââââ | 17.2M/48.3M [00:41<01:10, 439kB/s]
36%|ââââââââââââââ | 17.3M/48.3M [00:41<01:10, 438kB/s]
36%|ââââââââââââââ | 17.4M/48.3M [00:41<01:10, 437kB/s]
36%|ââââââââââââââ | 17.4M/48.3M [00:41<01:11, 432kB/s]
36%|ââââââââââââââ | 17.4M/48.3M [00:41<01:11, 433kB/s]
36%|ââââââââââââââ | 17.5M/48.3M [00:41<01:10, 437kB/s]
36%|ââââââââââââââ | 17.5M/48.3M [00:41<01:10, 436kB/s]
36%|ââââââââââââââ | 17.6M/48.3M [00:42<01:11, 431kB/s]
37%|ââââââââââââââ | 17.6M/48.3M [00:42<01:12, 423kB/s]
37%|ââââââââââââââ | 17.7M/48.3M [00:42<01:11, 426kB/s]
37%|ââââââââââââââ | 17.7M/48.3M [00:42<01:11, 427kB/s]
37%|ââââââââââââââ | 17.8M/48.3M [00:42<01:09, 440kB/s]
37%|ââââââââââââââ | 17.9M/48.3M [00:42<01:07, 452kB/s]
37%|ââââââââââââââ | 17.9M/48.3M [00:42<01:06, 459kB/s]
37%|ââââââââââââââ | 18.0M/48.3M [00:42<01:07, 451kB/s]
37%|âââââââââââââââ | 18.0M/48.3M [00:42<01:06, 454kB/s]
37%|âââââââââââââââ | 18.1M/48.3M [00:43<01:07, 451kB/s]
37%|âââââââââââââââ | 18.1M/48.3M [00:43<01:06, 452kB/s]
38%|âââââââââââââââ | 18.2M/48.3M [00:43<01:05, 458kB/s]
38%|âââââââââââââââ | 18.2M/48.3M [00:43<01:06, 452kB/s]
38%|âââââââââââââââ | 18.3M/48.3M [00:43<01:10, 427kB/s]
38%|âââââââââââââââ | 18.3M/48.3M [00:43<01:12, 417kB/s]
38%|âââââââââââââââ | 18.4M/48.3M [00:43<01:11, 421kB/s]
38%|âââââââââââââââ | 18.4M/48.3M [00:43<01:10, 424kB/s]
38%|âââââââââââââââ | 18.4M/48.3M [00:44<01:11, 417kB/s]
38%|âââââââââââââââ | 18.5M/48.3M [00:44<01:11, 416kB/s]
38%|âââââââââââââââ | 18.5M/48.3M [00:44<01:08, 437kB/s]
38%|âââââââââââââââ | 18.6M/48.3M [00:44<01:08, 434kB/s]
39%|âââââââââââââââ | 18.6M/48.3M [00:44<01:08, 435kB/s]
39%|âââââââââââââââ | 18.7M/48.3M [00:44<01:07, 441kB/s]
39%|âââââââââââââââ | 18.7M/48.3M [00:44<01:06, 446kB/s]
39%|âââââââââââââââ | 18.8M/48.3M [00:44<01:07, 440kB/s]
39%|âââââââââââââââ | 18.8M/48.3M [00:44<01:09, 424kB/s]
39%|âââââââââââââââ | 18.9M/48.3M [00:45<01:10, 418kB/s]
39%|âââââââââââââââ | 18.9M/48.3M [00:45<01:08, 430kB/s]
39%|âââââââââââââââ | 19.0M/48.3M [00:45<01:08, 431kB/s]
39%|âââââââââââââââ | 19.0M/48.3M [00:45<01:10, 418kB/s]
39%|âââââââââââââââ | 19.1M/48.3M [00:45<01:09, 423kB/s]
40%|âââââââââââââââ | 19.1M/48.3M [00:45<01:09, 421kB/s]
40%|âââââââââââââââ | 19.2M/48.3M [00:45<01:09, 419kB/s]
40%|âââââââââââââââ | 19.2M/48.3M [00:45<01:08, 427kB/s]
40%|ââââââââââââââââ | 19.3M/48.3M [00:45<01:06, 436kB/s]
40%|ââââââââââââââââ | 19.3M/48.3M [00:46<01:06, 433kB/s]
40%|ââââââââââââââââ | 19.4M/48.3M [00:46<01:06, 434kB/s]
40%|ââââââââââââââââ | 19.4M/48.3M [00:46<01:10, 409kB/s]
40%|ââââââââââââââââ | 19.5M/48.3M [00:46<01:13, 393kB/s]
40%|ââââââââââââââââ | 19.5M/48.3M [00:46<01:10, 406kB/s]
41%|ââââââââââââââââ | 19.6M/48.3M [00:46<01:08, 421kB/s]
41%|ââââââââââââââââ | 19.6M/48.3M [00:46<01:07, 428kB/s]
41%|ââââââââââââââââ | 19.7M/48.3M [00:46<01:06, 429kB/s]
41%|ââââââââââââââââ | 19.7M/48.3M [00:47<01:05, 439kB/s]
41%|ââââââââââââââââ | 19.8M/48.3M [00:47<01:06, 432kB/s]
41%|ââââââââââââââââ | 19.8M/48.3M [00:47<01:03, 448kB/s]
41%|ââââââââââââââââ | 19.9M/48.3M [00:47<01:03, 448kB/s]
41%|ââââââââââââââââ | 19.9M/48.3M [00:47<01:08, 417kB/s]
41%|ââââââââââââââââ | 20.0M/48.3M [00:47<01:07, 418kB/s]
41%|ââââââââââââââââ | 20.0M/48.3M [00:47<01:06, 428kB/s]
42%|ââââââââââââââââ | 20.1M/48.3M [00:47<01:06, 427kB/s]
42%|ââââââââââââââââ | 20.1M/48.3M [00:47<01:04, 435kB/s]
42%|ââââââââââââââââ | 20.2M/48.3M [00:48<01:08, 412kB/s]
42%|ââââââââââââââââ | 20.2M/48.3M [00:48<01:08, 413kB/s]
42%|ââââââââââââââââ | 20.3M/48.3M [00:48<01:06, 420kB/s]
42%|ââââââââââââââââ | 20.3M/48.3M [00:48<01:05, 428kB/s]
42%|ââââââââââââââââ | 20.4M/48.3M [00:48<01:09, 403kB/s]
42%|ââââââââââââââââ | 20.4M/48.3M [00:48<01:05, 427kB/s]
42%|ââââââââââââââââ | 20.5M/48.3M [00:48<01:06, 421kB/s]
42%|âââââââââââââââââ | 20.5M/48.3M [00:48<01:04, 431kB/s]
43%|âââââââââââââââââ | 20.6M/48.3M [00:49<01:03, 435kB/s]
43%|âââââââââââââââââ | 20.6M/48.3M [00:49<01:05, 424kB/s]
43%|âââââââââââââââââ | 20.7M/48.3M [00:49<00:59, 461kB/s]
43%|âââââââââââââââââ | 20.7M/48.3M [00:49<00:59, 464kB/s]
43%|âââââââââââââââââ | 20.8M/48.3M [00:49<00:59, 466kB/s]
43%|âââââââââââââââââ | 20.8M/48.3M [00:49<00:59, 465kB/s]
43%|âââââââââââââââââ | 20.9M/48.3M [00:49<01:00, 453kB/s]
43%|âââââââââââââââââ | 20.9M/48.3M [00:49<01:00, 451kB/s]
43%|âââââââââââââââââ | 21.0M/48.3M [00:49<01:01, 446kB/s]
44%|âââââââââââââââââ | 21.1M/48.3M [00:50<00:59, 461kB/s]
44%|âââââââââââââââââ | 21.1M/48.3M [00:50<00:59, 454kB/s]
44%|âââââââââââââââââ | 21.2M/48.3M [00:50<00:59, 456kB/s]
44%|âââââââââââââââââ | 21.2M/48.3M [00:50<01:01, 445kB/s]
44%|âââââââââââââââââ | 21.3M/48.3M [00:50<01:04, 419kB/s]
44%|âââââââââââââââââ | 21.3M/48.3M [00:50<01:04, 420kB/s]
44%|âââââââââââââââââ | 21.3M/48.3M [00:50<01:02, 429kB/s]
44%|âââââââââââââââââ | 21.4M/48.3M [00:50<01:02, 434kB/s]
44%|âââââââââââââââââ | 21.4M/48.3M [00:50<01:02, 430kB/s]
44%|âââââââââââââââââ | 21.5M/48.3M [00:51<01:00, 440kB/s]
45%|âââââââââââââââââ | 21.5M/48.3M [00:51<01:00, 440kB/s]
45%|âââââââââââââââââ | 21.6M/48.3M [00:51<00:59, 453kB/s]
45%|âââââââââââââââââ | 21.6M/48.3M [00:51<01:00, 442kB/s]
45%|âââââââââââââââââ | 21.7M/48.3M [00:51<01:01, 436kB/s]
45%|âââââââââââââââââ | 21.7M/48.3M [00:51<01:01, 429kB/s]
45%|ââââââââââââââââââ | 21.8M/48.3M [00:51<01:00, 435kB/s]
45%|ââââââââââââââââââ | 21.8M/48.3M [00:51<01:00, 436kB/s]
45%|ââââââââââââââââââ | 21.9M/48.3M [00:51<00:58, 449kB/s]
45%|ââââââââââââââââââ | 22.0M/48.3M [00:52<00:56, 466kB/s]
46%|ââââââââââââââââââ | 22.0M/48.3M [00:52<00:57, 461kB/s]
46%|ââââââââââââââââââ | 22.1M/48.3M [00:52<00:57, 457kB/s]
46%|ââââââââââââââââââ | 22.1M/48.3M [00:52<00:59, 443kB/s]
46%|ââââââââââââââââââ | 22.2M/48.3M [00:52<00:55, 468kB/s]
46%|ââââââââââââââââââ | 22.2M/48.3M [00:52<00:55, 468kB/s]
46%|ââââââââââââââââââ | 22.3M/48.3M [00:52<00:55, 470kB/s]
46%|ââââââââââââââââââ | 22.3M/48.3M [00:52<00:55, 468kB/s]
46%|ââââââââââââââââââ | 22.4M/48.3M [00:53<00:58, 443kB/s]
46%|ââââââââââââââââââ | 22.4M/48.3M [00:53<00:56, 462kB/s]
47%|ââââââââââââââââââ | 22.5M/48.3M [00:53<00:55, 465kB/s]
47%|ââââââââââââââââââ | 22.5M/48.3M [00:53<00:57, 451kB/s]
47%|ââââââââââââââââââ | 22.6M/48.3M [00:53<01:00, 424kB/s]
47%|ââââââââââââââââââ | 22.6M/48.3M [00:53<00:58, 439kB/s]
47%|ââââââââââââââââââ | 22.7M/48.3M [00:53<00:57, 444kB/s]
47%|ââââââââââââââââââ | 22.7M/48.3M [00:53<00:57, 445kB/s]
47%|ââââââââââââââââââ | 22.8M/48.3M [00:53<00:56, 456kB/s]
47%|ââââââââââââââââââ | 22.8M/48.3M [00:54<00:55, 459kB/s]
47%|ââââââââââââââââââ | 22.9M/48.3M [00:54<00:55, 462kB/s]
47%|ââââââââââââââââââ | 22.9M/48.3M [00:54<00:55, 460kB/s]
48%|ââââââââââââââââââ | 23.0M/48.3M [00:54<00:54, 467kB/s]
48%|ââââââââââââââââââ | 23.0M/48.3M [00:54<00:54, 461kB/s]
48%|âââââââââââââââââââ | 23.1M/48.3M [00:54<00:54, 464kB/s]
48%|âââââââââââââââââââ | 23.1M/48.3M [00:54<00:54, 461kB/s]
48%|âââââââââââââââââââ | 23.2M/48.3M [00:54<00:53, 469kB/s]
48%|âââââââââââââââââââ | 23.2M/48.3M [00:54<00:53, 469kB/s]
48%|âââââââââââââââââââ | 23.3M/48.3M [00:54<00:53, 470kB/s]
48%|âââââââââââââââââââ | 23.3M/48.3M [00:55<00:54, 463kB/s]
48%|âââââââââââââââââââ | 23.4M/48.3M [00:55<00:53, 464kB/s]
48%|âââââââââââââââââââ | 23.4M/48.3M [00:55<00:53, 465kB/s]
49%|âââââââââââââââââââ | 23.5M/48.3M [00:55<00:53, 464kB/s]
49%|âââââââââââââââââââ | 23.5M/48.3M [00:55<00:54, 456kB/s]
49%|âââââââââââââââââââ | 23.6M/48.3M [00:55<00:58, 424kB/s]
49%|âââââââââââââââââââ | 23.6M/48.3M [00:55<00:51, 477kB/s]
49%|âââââââââââââââââââ | 23.7M/48.3M [00:55<00:51, 476kB/s]
49%|âââââââââââââââââââ | 23.7M/48.3M [00:55<00:51, 476kB/s]
49%|âââââââââââââââââââ | 23.8M/48.3M [00:56<00:51, 475kB/s]
49%|âââââââââââââââââââ | 23.8M/48.3M [00:56<00:52, 465kB/s]
49%|âââââââââââââââââââ | 23.9M/48.3M [00:56<00:52, 463kB/s]
49%|âââââââââââââââââââ | 23.9M/48.3M [00:56<00:52, 464kB/s]
50%|âââââââââââââââââââ | 24.0M/48.3M [00:56<00:53, 452kB/s]
50%|âââââââââââââââââââ | 24.0M/48.3M [00:56<00:52, 465kB/s]
50%|âââââââââââââââââââ | 24.1M/48.3M [00:56<00:52, 462kB/s]
50%|âââââââââââââââââââ | 24.2M/48.3M [00:56<00:51, 473kB/s]
50%|âââââââââââââââââââ | 24.2M/48.3M [00:56<00:51, 467kB/s]
50%|âââââââââââââââââââ | 24.2M/48.3M [00:57<00:50, 473kB/s]
50%|âââââââââââââââââââ | 24.3M/48.3M [00:57<00:52, 456kB/s]
50%|ââââââââââââââââââââ | 24.3M/48.3M [00:57<00:55, 432kB/s]
50%|ââââââââââââââââââââ | 24.4M/48.3M [00:57<00:56, 424kB/s]
51%|ââââââââââââââââââââ | 24.4M/48.3M [00:57<00:54, 437kB/s]
51%|ââââââââââââââââââââ | 24.5M/48.3M [00:57<00:54, 435kB/s]
51%|ââââââââââââââââââââ | 24.5M/48.3M [00:57<00:53, 448kB/s]
51%|ââââââââââââââââââââ | 24.6M/48.3M [00:57<00:51, 458kB/s]
51%|ââââââââââââââââââââ | 24.6M/48.3M [00:57<00:52, 448kB/s]
51%|ââââââââââââââââââââ | 24.7M/48.3M [00:58<00:53, 440kB/s]
51%|ââââââââââââââââââââ | 24.8M/48.3M [00:58<00:55, 425kB/s]
51%|ââââââââââââââââââââ | 24.8M/48.3M [00:58<00:52, 445kB/s]
51%|ââââââââââââââââââââ | 24.9M/48.3M [00:58<00:52, 444kB/s]
52%|ââââââââââââââââââââ | 24.9M/48.3M [00:58<00:51, 456kB/s]
52%|ââââââââââââââââââââ | 25.0M/48.3M [00:58<00:51, 458kB/s]
52%|ââââââââââââââââââââ | 25.0M/48.3M [00:58<00:50, 463kB/s]
52%|ââââââââââââââââââââ | 25.1M/48.3M [00:58<00:49, 466kB/s]
52%|ââââââââââââââââââââ | 25.1M/48.3M [00:59<00:50, 463kB/s]
52%|ââââââââââââââââââââ | 25.2M/48.3M [00:59<00:50, 460kB/s]
52%|ââââââââââââââââââââ | 25.2M/48.3M [00:59<00:54, 428kB/s]
52%|ââââââââââââââââââââ | 25.3M/48.3M [00:59<00:51, 447kB/s]
52%|ââââââââââââââââââââ | 25.3M/48.3M [00:59<00:53, 433kB/s]
53%|ââââââââââââââââââââ | 25.4M/48.3M [00:59<00:51, 443kB/s]
53%|ââââââââââââââââââââ | 25.4M/48.3M [00:59<00:52, 439kB/s]
53%|ââââââââââââââââââââ | 25.5M/48.3M [00:59<00:53, 431kB/s]
53%|ââââââââââââââââââââ | 25.5M/48.3M [00:59<00:51, 441kB/s]
53%|ââââââââââââââââââââ | 25.6M/48.3M [01:00<00:51, 441kB/s]
53%|âââââââââââââââââââââ | 25.6M/48.3M [01:00<00:50, 446kB/s]
53%|âââââââââââââââââââââ | 25.7M/48.3M [01:00<00:50, 449kB/s]
53%|âââââââââââââââââââââ | 25.7M/48.3M [01:00<00:50, 451kB/s]
53%|âââââââââââââââââââââ | 25.8M/48.3M [01:00<00:52, 432kB/s]
53%|âââââââââââââââââââââ | 25.8M/48.3M [01:00<00:50, 444kB/s]
54%|âââââââââââââââââââââ | 25.9M/48.3M [01:00<00:51, 436kB/s]
54%|âââââââââââââââââââââ | 25.9M/48.3M [01:00<00:52, 429kB/s]
54%|âââââââââââââââââââââ | 26.0M/48.3M [01:00<00:51, 432kB/s]
54%|âââââââââââââââââââââ | 26.0M/48.3M [01:01<00:51, 434kB/s]
54%|âââââââââââââââââââââ | 26.1M/48.3M [01:01<00:53, 417kB/s]
54%|âââââââââââââââââââââ | 26.1M/48.3M [01:01<00:51, 432kB/s]
54%|âââââââââââââââââââââ | 26.2M/48.3M [01:01<00:52, 423kB/s]
54%|âââââââââââââââââââââ | 26.2M/48.3M [01:01<00:53, 417kB/s]
54%|âââââââââââââââââââââ | 26.3M/48.3M [01:01<00:49, 445kB/s]
54%|âââââââââââââââââââââ | 26.3M/48.3M [01:01<00:49, 446kB/s]
55%|âââââââââââââââââââââ | 26.4M/48.3M [01:01<00:52, 416kB/s]
55%|âââââââââââââââââââââ | 26.4M/48.3M [01:02<00:48, 452kB/s]
55%|âââââââââââââââââââââ | 26.5M/48.3M [01:02<00:48, 447kB/s]
55%|âââââââââââââââââââââ | 26.5M/48.3M [01:02<00:49, 444kB/s]
55%|âââââââââââââââââââââ | 26.6M/48.3M [01:02<00:49, 439kB/s]
55%|âââââââââââââââââââââ | 26.6M/48.3M [01:02<00:49, 442kB/s]
55%|âââââââââââââââââââââ | 26.7M/48.3M [01:02<00:48, 445kB/s]
55%|âââââââââââââââââââââ | 26.7M/48.3M [01:02<00:49, 438kB/s]
55%|âââââââââââââââââââââ | 26.8M/48.3M [01:02<00:49, 436kB/s]
56%|âââââââââââââââââââââ | 26.8M/48.3M [01:02<00:50, 422kB/s]
56%|ââââââââââââââââââââââ | 26.9M/48.3M [01:03<00:51, 420kB/s]
56%|ââââââââââââââââââââââ | 26.9M/48.3M [01:03<00:49, 431kB/s]
56%|ââââââââââââââââââââââ | 27.0M/48.3M [01:03<00:48, 437kB/s]
56%|ââââââââââââââââââââââ | 27.0M/48.3M [01:03<00:48, 444kB/s]
56%|ââââââââââââââââââââââ | 27.1M/48.3M [01:03<00:48, 440kB/s]
56%|ââââââââââââââââââââââ | 27.1M/48.3M [01:03<00:49, 429kB/s]
56%|ââââââââââââââââââââââ | 27.2M/48.3M [01:03<00:51, 413kB/s]
56%|ââââââââââââââââââââââ | 27.2M/48.3M [01:03<00:47, 440kB/s]
56%|ââââââââââââââââââââââ | 27.3M/48.3M [01:04<00:48, 435kB/s]
57%|ââââââââââââââââââââââ | 27.3M/48.3M [01:04<00:49, 427kB/s]
57%|ââââââââââââââââââââââ | 27.4M/48.3M [01:04<00:46, 450kB/s]
57%|ââââââââââââââââââââââ | 27.5M/48.3M [01:04<00:47, 438kB/s]
57%|ââââââââââââââââââââââ | 27.5M/48.3M [01:04<00:46, 443kB/s]
57%|ââââââââââââââââââââââ | 27.6M/48.3M [01:04<00:47, 438kB/s]
57%|ââââââââââââââââââââââ | 27.6M/48.3M [01:04<00:47, 437kB/s]
57%|ââââââââââââââââââââââ | 27.7M/48.3M [01:04<00:47, 433kB/s]
57%|ââââââââââââââââââââââ | 27.7M/48.3M [01:04<00:46, 444kB/s]
57%|ââââââââââââââââââââââ | 27.8M/48.3M [01:05<00:47, 436kB/s]
58%|ââââââââââââââââââââââ | 27.8M/48.3M [01:05<00:45, 455kB/s]
58%|ââââââââââââââââââââââ | 27.9M/48.3M [01:05<00:45, 446kB/s]
58%|ââââââââââââââââââââââ | 27.9M/48.3M [01:05<00:48, 422kB/s]
58%|ââââââââââââââââââââââ | 28.0M/48.3M [01:05<00:47, 428kB/s]
58%|ââââââââââââââââââââââ | 28.0M/48.3M [01:05<00:47, 430kB/s]
58%|ââââââââââââââââââââââ | 28.1M/48.3M [01:05<00:45, 445kB/s]
58%|ââââââââââââââââââââââ | 28.1M/48.3M [01:05<00:45, 441kB/s]
58%|âââââââââââââââââââââââ | 28.2M/48.3M [01:06<00:45, 445kB/s]
58%|âââââââââââââââââââââââ | 28.2M/48.3M [01:06<00:45, 444kB/s]
58%|âââââââââââââââââââââââ | 28.3M/48.3M [01:06<00:44, 449kB/s]
59%|âââââââââââââââââââââââ | 28.3M/48.3M [01:06<00:45, 440kB/s]
59%|âââââââââââââââââââââââ | 28.4M/48.3M [01:06<00:47, 419kB/s]
59%|âââââââââââââââââââââââ | 28.4M/48.3M [01:06<00:47, 422kB/s]
59%|âââââââââââââââââââââââ | 28.5M/48.3M [01:06<00:47, 416kB/s]
59%|âââââââââââââââââââââââ | 28.5M/48.3M [01:06<00:47, 418kB/s]
59%|âââââââââââââââââââââââ | 28.6M/48.3M [01:06<00:48, 409kB/s]
59%|âââââââââââââââââââââââ | 28.6M/48.3M [01:07<00:46, 428kB/s]
59%|âââââââââââââââââââââââ | 28.7M/48.3M [01:07<00:45, 429kB/s]
59%|âââââââââââââââââââââââ | 28.7M/48.3M [01:07<00:47, 410kB/s]
59%|âââââââââââââââââââââââ | 28.8M/48.3M [01:07<00:46, 417kB/s]
60%|âââââââââââââââââââââââ | 28.8M/48.3M [01:07<00:46, 420kB/s]
60%|âââââââââââââââââââââââ | 28.9M/48.3M [01:07<00:49, 394kB/s]
60%|âââââââââââââââââââââââ | 28.9M/48.3M [01:07<00:47, 408kB/s]
60%|âââââââââââââââââââââââ | 29.0M/48.3M [01:07<00:46, 417kB/s]
60%|âââââââââââââââââââââââ | 29.0M/48.3M [01:08<00:45, 426kB/s]
60%|âââââââââââââââââââââââ | 29.0M/48.3M [01:08<00:44, 429kB/s]
60%|âââââââââââââââââââââââ | 29.1M/48.3M [01:08<00:44, 428kB/s]
60%|âââââââââââââââââââââââ | 29.1M/48.3M [01:08<00:44, 435kB/s]
60%|âââââââââââââââââââââââ | 29.2M/48.3M [01:08<00:45, 419kB/s]
61%|âââââââââââââââââââââââ | 29.2M/48.3M [01:08<00:44, 428kB/s]
61%|âââââââââââââââââââââââ | 29.3M/48.3M [01:08<00:45, 418kB/s]
61%|âââââââââââââââââââââââ | 29.3M/48.3M [01:08<00:46, 410kB/s]
61%|âââââââââââââââââââââââ | 29.4M/48.3M [01:08<00:45, 414kB/s]
61%|ââââââââââââââââââââââââ | 29.4M/48.3M [01:09<00:46, 410kB/s]
61%|ââââââââââââââââââââââââ | 29.5M/48.3M [01:09<00:46, 403kB/s]
61%|ââââââââââââââââââââââââ | 29.5M/48.3M [01:09<00:46, 408kB/s]
61%|ââââââââââââââââââââââââ | 29.6M/48.3M [01:09<00:47, 398kB/s]
61%|ââââââââââââââââââââââââ | 29.6M/48.3M [01:09<00:45, 409kB/s]
61%|ââââââââââââââââââââââââ | 29.7M/48.3M [01:09<00:44, 415kB/s]
62%|ââââââââââââââââââââââââ | 29.7M/48.3M [01:09<00:47, 394kB/s]
62%|ââââââââââââââââââââââââ | 29.8M/48.3M [01:09<00:42, 434kB/s]
62%|ââââââââââââââââââââââââ | 29.9M/48.3M [01:10<00:42, 433kB/s]
62%|ââââââââââââââââââââââââ | 29.9M/48.3M [01:10<00:42, 432kB/s]
62%|ââââââââââââââââââââââââ | 29.9M/48.3M [01:10<00:42, 431kB/s]
62%|ââââââââââââââââââââââââ | 30.0M/48.3M [01:10<00:42, 433kB/s]
62%|ââââââââââââââââââââââââ | 30.0M/48.3M [01:10<00:45, 405kB/s]
62%|ââââââââââââââââââââââââ | 30.1M/48.3M [01:10<00:43, 423kB/s]
62%|ââââââââââââââââââââââââ | 30.1M/48.3M [01:10<00:43, 421kB/s]
62%|ââââââââââââââââââââââââ | 30.2M/48.3M [01:10<00:41, 435kB/s]
63%|ââââââââââââââââââââââââ | 30.2M/48.3M [01:10<00:40, 449kB/s]
63%|ââââââââââââââââââââââââ | 30.3M/48.3M [01:11<00:41, 440kB/s]
63%|ââââââââââââââââââââââââ | 30.3M/48.3M [01:11<00:41, 437kB/s]
63%|ââââââââââââââââââââââââ | 30.4M/48.3M [01:11<00:40, 442kB/s]
63%|ââââââââââââââââââââââââ | 30.4M/48.3M [01:11<00:39, 449kB/s]
63%|ââââââââââââââââââââââââ | 30.5M/48.3M [01:11<00:40, 439kB/s]
63%|ââââââââââââââââââââââââ | 30.5M/48.3M [01:11<00:40, 438kB/s]
63%|ââââââââââââââââââââââââ | 30.6M/48.3M [01:11<00:41, 433kB/s]
63%|ââââââââââââââââââââââââ | 30.6M/48.3M [01:11<00:40, 440kB/s]
63%|ââââââââââââââââââââââââ | 30.7M/48.3M [01:11<00:40, 439kB/s]
64%|âââââââââââââââââââââââââ | 30.7M/48.3M [01:12<00:38, 453kB/s]
64%|âââââââââââââââââââââââââ | 30.8M/48.3M [01:12<00:39, 446kB/s]
64%|âââââââââââââââââââââââââ | 30.8M/48.3M [01:12<00:40, 435kB/s]
64%|âââââââââââââââââââââââââ | 30.9M/48.3M [01:12<00:41, 418kB/s]
64%|âââââââââââââââââââââââââ | 30.9M/48.3M [01:12<00:41, 417kB/s]
64%|âââââââââââââââââââââââââ | 31.0M/48.3M [01:12<00:40, 425kB/s]
64%|âââââââââââââââââââââââââ | 31.0M/48.3M [01:12<00:40, 427kB/s]
64%|âââââââââââââââââââââââââ | 31.1M/48.3M [01:12<00:41, 420kB/s]
64%|âââââââââââââââââââââââââ | 31.1M/48.3M [01:12<00:42, 406kB/s]
64%|âââââââââââââââââââââââââ | 31.2M/48.3M [01:13<00:41, 412kB/s]
65%|âââââââââââââââââââââââââ | 31.2M/48.3M [01:13<00:40, 420kB/s]
65%|âââââââââââââââââââââââââ | 31.3M/48.3M [01:13<00:40, 427kB/s]
65%|âââââââââââââââââââââââââ | 31.3M/48.3M [01:13<00:38, 437kB/s]
65%|âââââââââââââââââââââââââ | 31.4M/48.3M [01:13<00:38, 443kB/s]
65%|âââââââââââââââââââââââââ | 31.4M/48.3M [01:13<00:38, 440kB/s]
65%|âââââââââââââââââââââââââ | 31.5M/48.3M [01:13<00:39, 430kB/s]
65%|âââââââââââââââââââââââââ | 31.5M/48.3M [01:13<00:41, 406kB/s]
65%|âââââââââââââââââââââââââ | 31.6M/48.3M [01:14<00:41, 409kB/s]
65%|âââââââââââââââââââââââââ | 31.6M/48.3M [01:14<00:39, 420kB/s]
65%|âââââââââââââââââââââââââ | 31.7M/48.3M [01:14<00:41, 406kB/s]
66%|âââââââââââââââââââââââââ | 31.7M/48.3M [01:14<00:37, 441kB/s]
66%|âââââââââââââââââââââââââ | 31.8M/48.3M [01:14<00:37, 440kB/s]
66%|âââââââââââââââââââââââââ | 31.8M/48.3M [01:14<00:37, 441kB/s]
66%|âââââââââââââââââââââââââ | 31.9M/48.3M [01:14<00:37, 440kB/s]
66%|âââââââââââââââââââââââââ | 31.9M/48.3M [01:14<00:37, 441kB/s]
66%|ââââââââââââââââââââââââââ | 32.0M/48.3M [01:14<00:37, 434kB/s]
66%|ââââââââââââââââââââââââââ | 32.0M/48.3M [01:15<00:37, 440kB/s]
66%|ââââââââââââââââââââââââââ | 32.1M/48.3M [01:15<00:36, 441kB/s]
66%|ââââââââââââââââââââââââââ | 32.1M/48.3M [01:15<00:37, 437kB/s]
67%|ââââââââââââââââââââââââââ | 32.2M/48.3M [01:15<00:37, 433kB/s]
67%|ââââââââââââââââââââââââââ | 32.2M/48.3M [01:15<00:37, 434kB/s]
67%|ââââââââââââââââââââââââââ | 32.3M/48.3M [01:15<00:35, 447kB/s]
67%|ââââââââââââââââââââââââââ | 32.3M/48.3M [01:15<00:36, 440kB/s]
67%|ââââââââââââââââââââââââââ | 32.4M/48.3M [01:15<00:35, 449kB/s]
67%|ââââââââââââââââââââââââââ | 32.4M/48.3M [01:15<00:36, 442kB/s]
67%|ââââââââââââââââââââââââââ | 32.5M/48.3M [01:16<00:36, 436kB/s]
67%|ââââââââââââââââââââââââââ | 32.5M/48.3M [01:16<00:36, 438kB/s]
67%|ââââââââââââââââââââââââââ | 32.6M/48.3M [01:16<00:39, 404kB/s]
67%|ââââââââââââââââââââââââââ | 32.6M/48.3M [01:16<00:36, 426kB/s]
68%|ââââââââââââââââââââââââââ | 32.7M/48.3M [01:16<00:38, 409kB/s]
68%|ââââââââââââââââââââââââââ | 32.7M/48.3M [01:16<00:37, 416kB/s]
68%|ââââââââââââââââââââââââââ | 32.8M/48.3M [01:16<00:36, 425kB/s]
68%|ââââââââââââââââââââââââââ | 32.8M/48.3M [01:16<00:37, 411kB/s]
68%|ââââââââââââââââââââââââââ | 32.8M/48.3M [01:17<00:37, 412kB/s]
68%|ââââââââââââââââââââââââââ | 32.9M/48.3M [01:17<00:36, 423kB/s]
68%|ââââââââââââââââââââââââââ | 32.9M/48.3M [01:17<00:38, 402kB/s]
68%|ââââââââââââââââââââââââââ | 33.0M/48.3M [01:17<00:37, 413kB/s]
68%|ââââââââââââââââââââââââââ | 33.0M/48.3M [01:17<00:35, 428kB/s]
68%|ââââââââââââââââââââââââââ | 33.1M/48.3M [01:17<00:35, 428kB/s]
69%|ââââââââââââââââââââââââââ | 33.1M/48.3M [01:17<00:35, 428kB/s]
69%|ââââââââââââââââââââââââââ | 33.2M/48.3M [01:17<00:36, 416kB/s]
69%|âââââââââââââââââââââââââââ | 33.2M/48.3M [01:17<00:36, 412kB/s]
69%|âââââââââââââââââââââââââââ | 33.3M/48.3M [01:18<00:36, 414kB/s]
69%|âââââââââââââââââââââââââââ | 33.3M/48.3M [01:18<00:34, 429kB/s]
69%|âââââââââââââââââââââââââââ | 33.4M/48.3M [01:18<00:35, 424kB/s]
69%|âââââââââââââââââââââââââââ | 33.4M/48.3M [01:18<00:36, 409kB/s]
69%|âââââââââââââââââââââââââââ | 33.5M/48.3M [01:18<00:36, 412kB/s]
69%|âââââââââââââââââââââââââââ | 33.5M/48.3M [01:18<00:34, 429kB/s]
69%|âââââââââââââââââââââââââââ | 33.6M/48.3M [01:18<00:34, 434kB/s]
70%|âââââââââââââââââââââââââââ | 33.6M/48.3M [01:18<00:33, 444kB/s]
70%|âââââââââââââââââââââââââââ | 33.7M/48.3M [01:18<00:33, 438kB/s]
70%|âââââââââââââââââââââââââââ | 33.7M/48.3M [01:19<00:33, 439kB/s]
70%|âââââââââââââââââââââââââââ | 33.8M/48.3M [01:19<00:32, 444kB/s]
70%|âââââââââââââââââââââââââââ | 33.8M/48.3M [01:19<00:32, 441kB/s]
70%|âââââââââââââââââââââââââââ | 33.9M/48.3M [01:19<00:32, 447kB/s]
70%|âââââââââââââââââââââââââââ | 33.9M/48.3M [01:19<00:32, 440kB/s]
70%|âââââââââââââââââââââââââââ | 34.0M/48.3M [01:19<00:33, 427kB/s]
70%|âââââââââââââââââââââââââââ | 34.0M/48.3M [01:19<00:34, 420kB/s]
71%|âââââââââââââââââââââââââââ | 34.1M/48.3M [01:19<00:34, 410kB/s]
71%|âââââââââââââââââââââââââââ | 34.1M/48.3M [01:20<00:34, 414kB/s]
71%|âââââââââââââââââââââââââââ | 34.2M/48.3M [01:20<00:33, 417kB/s]
71%|âââââââââââââââââââââââââââ | 34.2M/48.3M [01:20<00:33, 424kB/s]
71%|âââââââââââââââââââââââââââ | 34.3M/48.3M [01:20<00:32, 439kB/s]
71%|âââââââââââââââââââââââââââ | 34.3M/48.3M [01:20<00:32, 438kB/s]
71%|âââââââââââââââââââââââââââ | 34.4M/48.3M [01:20<00:32, 435kB/s]
71%|âââââââââââââââââââââââââââ | 34.4M/48.3M [01:20<00:31, 435kB/s]
71%|âââââââââââââââââââââââââââ | 34.5M/48.3M [01:20<00:31, 437kB/s]
71%|ââââââââââââââââââââââââââââ | 34.5M/48.3M [01:20<00:31, 438kB/s]
72%|ââââââââââââââââââââââââââââ | 34.6M/48.3M [01:21<00:32, 426kB/s]
72%|ââââââââââââââââââââââââââââ | 34.6M/48.3M [01:21<00:33, 409kB/s]
72%|ââââââââââââââââââââââââââââ | 34.7M/48.3M [01:21<00:32, 419kB/s]
72%|ââââââââââââââââââââââââââââ | 34.7M/48.3M [01:21<00:31, 433kB/s]
72%|ââââââââââââââââââââââââââââ | 34.8M/48.3M [01:21<00:31, 434kB/s]
72%|ââââââââââââââââââââââââââââ | 34.8M/48.3M [01:21<00:31, 432kB/s]
72%|ââââââââââââââââââââââââââââ | 34.9M/48.3M [01:21<00:30, 441kB/s]
72%|ââââââââââââââââââââââââââââ | 34.9M/48.3M [01:21<00:30, 437kB/s]
72%|ââââââââââââââââââââââââââââ | 35.0M/48.3M [01:21<00:30, 437kB/s]
72%|ââââââââââââââââââââââââââââ | 35.0M/48.3M [01:22<00:30, 433kB/s]
73%|ââââââââââââââââââââââââââââ | 35.1M/48.3M [01:22<00:30, 434kB/s]
73%|ââââââââââââââââââââââââââââ | 35.1M/48.3M [01:22<00:30, 429kB/s]
73%|ââââââââââââââââââââââââââââ | 35.2M/48.3M [01:22<00:30, 435kB/s]
73%|ââââââââââââââââââââââââââââ | 35.2M/48.3M [01:22<00:29, 447kB/s]
73%|ââââââââââââââââââââââââââââ | 35.3M/48.3M [01:22<00:28, 453kB/s]
73%|ââââââââââââââââââââââââââââ | 35.3M/48.3M [01:22<00:31, 414kB/s]
73%|ââââââââââââââââââââââââââââ | 35.4M/48.3M [01:22<00:31, 419kB/s]
73%|ââââââââââââââââââââââââââââ | 35.4M/48.3M [01:22<00:30, 419kB/s]
73%|ââââââââââââââââââââââââââââ | 35.5M/48.3M [01:23<00:30, 418kB/s]
73%|ââââââââââââââââââââââââââââ | 35.5M/48.3M [01:23<00:31, 406kB/s]
74%|ââââââââââââââââââââââââââââ | 35.6M/48.3M [01:23<00:31, 403kB/s]
74%|ââââââââââââââââââââââââââââ | 35.6M/48.3M [01:23<00:28, 440kB/s]
74%|ââââââââââââââââââââââââââââ | 35.7M/48.3M [01:23<00:30, 412kB/s]
74%|ââââââââââââââââââââââââââââ | 35.7M/48.3M [01:23<00:29, 428kB/s]
74%|ââââââââââââââââââââââââââââ | 35.8M/48.3M [01:23<00:29, 426kB/s]
74%|âââââââââââââââââââââââââââââ | 35.8M/48.3M [01:23<00:29, 425kB/s]
74%|âââââââââââââââââââââââââââââ | 35.9M/48.3M [01:24<00:28, 435kB/s]
74%|âââââââââââââââââââââââââââââ | 35.9M/48.3M [01:24<00:28, 429kB/s]
74%|âââââââââââââââââââââââââââââ | 36.0M/48.3M [01:24<00:29, 423kB/s]
75%|âââââââââââââââââââââââââââââ | 36.0M/48.3M [01:24<00:30, 407kB/s]
75%|âââââââââââââââââââââââââââââ | 36.1M/48.3M [01:24<00:29, 417kB/s]
75%|âââââââââââââââââââââââââââââ | 36.1M/48.3M [01:24<00:29, 409kB/s]
75%|âââââââââââââââââââââââââââââ | 36.2M/48.3M [01:24<00:30, 405kB/s]
75%|âââââââââââââââââââââââââââââ | 36.2M/48.3M [01:24<00:29, 408kB/s]
75%|âââââââââââââââââââââââââââââ | 36.3M/48.3M [01:25<00:28, 419kB/s]
75%|âââââââââââââââââââââââââââââ | 36.3M/48.3M [01:25<00:30, 399kB/s]
75%|âââââââââââââââââââââââââââââ | 36.4M/48.3M [01:25<00:28, 418kB/s]
75%|âââââââââââââââââââââââââââââ | 36.4M/48.3M [01:25<00:28, 421kB/s]
75%|âââââââââââââââââââââââââââââ | 36.5M/48.3M [01:25<00:26, 439kB/s]
76%|âââââââââââââââââââââââââââââ | 36.5M/48.3M [01:25<00:26, 442kB/s]
76%|âââââââââââââââââââââââââââââ | 36.6M/48.3M [01:25<00:27, 427kB/s]
76%|âââââââââââââââââââââââââââââ | 36.6M/48.3M [01:25<00:27, 422kB/s]
76%|âââââââââââââââââââââââââââââ | 36.7M/48.3M [01:26<00:27, 422kB/s]
76%|âââââââââââââââââââââââââââââ | 36.7M/48.3M [01:26<00:26, 440kB/s]
76%|âââââââââââââââââââââââââââââ | 36.8M/48.3M [01:26<00:27, 416kB/s]
76%|âââââââââââââââââââââââââââââ | 36.8M/48.3M [01:26<00:25, 450kB/s]
76%|âââââââââââââââââââââââââââââ | 36.9M/48.3M [01:26<00:25, 452kB/s]
76%|âââââââââââââââââââââââââââââ | 36.9M/48.3M [01:26<00:25, 448kB/s]
77%|âââââââââââââââââââââââââââââ | 37.0M/48.3M [01:26<00:24, 459kB/s]
77%|âââââââââââââââââââââââââââââ | 37.0M/48.3M [01:26<00:25, 450kB/s]
77%|ââââââââââââââââââââââââââââââ | 37.1M/48.3M [01:26<00:25, 439kB/s]
77%|ââââââââââââââââââââââââââââââ | 37.1M/48.3M [01:27<00:25, 439kB/s]
77%|ââââââââââââââââââââââââââââââ | 37.2M/48.3M [01:27<00:26, 421kB/s]
77%|ââââââââââââââââââââââââââââââ | 37.3M/48.3M [01:27<00:24, 443kB/s]
77%|ââââââââââââââââââââââââââââââ | 37.3M/48.3M [01:27<00:24, 452kB/s]
77%|ââââââââââââââââââââââââââââââ | 37.4M/48.3M [01:27<00:24, 449kB/s]
77%|ââââââââââââââââââââââââââââââ | 37.4M/48.3M [01:27<00:24, 454kB/s]
77%|ââââââââââââââââââââââââââââââ | 37.5M/48.3M [01:27<00:25, 430kB/s]
78%|ââââââââââââââââââââââââââââââ | 37.5M/48.3M [01:27<00:24, 450kB/s]
78%|ââââââââââââââââââââââââââââââ | 37.6M/48.3M [01:28<00:23, 455kB/s]
78%|ââââââââââââââââââââââââââââââ | 37.6M/48.3M [01:28<00:23, 448kB/s]
78%|ââââââââââââââââââââââââââââââ | 37.7M/48.3M [01:28<00:24, 437kB/s]
78%|ââââââââââââââââââââââââââââââ | 37.7M/48.3M [01:28<00:25, 420kB/s]
78%|ââââââââââââââââââââââââââââââ | 37.8M/48.3M [01:28<00:23, 456kB/s]
78%|ââââââââââââââââââââââââââââââ | 37.8M/48.3M [01:28<00:23, 457kB/s]
78%|ââââââââââââââââââââââââââââââ | 37.9M/48.3M [01:28<00:22, 458kB/s]
78%|ââââââââââââââââââââââââââââââ | 37.9M/48.3M [01:28<00:23, 452kB/s]
79%|ââââââââââââââââââââââââââââââ | 38.0M/48.3M [01:28<00:23, 448kB/s]
79%|ââââââââââââââââââââââââââââââ | 38.0M/48.3M [01:29<00:23, 445kB/s]
79%|ââââââââââââââââââââââââââââââ | 38.1M/48.3M [01:29<00:22, 463kB/s]
79%|ââââââââââââââââââââââââââââââ | 38.1M/48.3M [01:29<00:21, 467kB/s]
79%|ââââââââââââââââââââââââââââââ | 38.2M/48.3M [01:29<00:21, 464kB/s]
79%|ââââââââââââââââââââââââââââââ | 38.2M/48.3M [01:29<00:22, 458kB/s]
79%|ââââââââââââââââââââââââââââââ | 38.3M/48.3M [01:29<00:21, 458kB/s]
79%|ââââââââââââââââââââââââââââââ | 38.3M/48.3M [01:29<00:23, 435kB/s]
79%|âââââââââââââââââââââââââââââââ | 38.4M/48.3M [01:29<00:23, 421kB/s]
79%|âââââââââââââââââââââââââââââââ | 38.4M/48.3M [01:29<00:23, 420kB/s]
80%|âââââââââââââââââââââââââââââââ | 38.5M/48.3M [01:30<00:24, 411kB/s]
80%|âââââââââââââââââââââââââââââââ | 38.5M/48.3M [01:30<00:22, 429kB/s]
80%|âââââââââââââââââââââââââââââââ | 38.6M/48.3M [01:30<00:22, 426kB/s]
80%|âââââââââââââââââââââââââââââââ | 38.6M/48.3M [01:30<00:23, 414kB/s]
80%|âââââââââââââââââââââââââââââââ | 38.6M/48.3M [01:30<00:23, 412kB/s]
80%|âââââââââââââââââââââââââââââââ | 38.7M/48.3M [01:30<00:21, 440kB/s]
80%|âââââââââââââââââââââââââââââââ | 38.8M/48.3M [01:30<00:22, 428kB/s]
80%|âââââââââââââââââââââââââââââââ | 38.8M/48.3M [01:30<00:21, 444kB/s]
80%|âââââââââââââââââââââââââââââââ | 38.9M/48.3M [01:30<00:21, 443kB/s]
80%|âââââââââââââââââââââââââââââââ | 38.9M/48.3M [01:31<00:21, 444kB/s]
81%|âââââââââââââââââââââââââââââââ | 39.0M/48.3M [01:31<00:21, 442kB/s]
81%|âââââââââââââââââââââââââââââââ | 39.0M/48.3M [01:31<00:21, 436kB/s]
81%|âââââââââââââââââââââââââââââââ | 39.1M/48.3M [01:31<00:22, 414kB/s]
81%|âââââââââââââââââââââââââââââââ | 39.1M/48.3M [01:31<00:21, 427kB/s]
81%|âââââââââââââââââââââââââââââââ | 39.2M/48.3M [01:31<00:22, 416kB/s]
81%|âââââââââââââââââââââââââââââââ | 39.2M/48.3M [01:31<00:22, 406kB/s]
81%|âââââââââââââââââââââââââââââââ | 39.3M/48.3M [01:31<00:22, 402kB/s]
81%|âââââââââââââââââââââââââââââââ | 39.3M/48.3M [01:32<00:20, 431kB/s]
81%|âââââââââââââââââââââââââââââââ | 39.4M/48.3M [01:32<00:21, 424kB/s]
82%|âââââââââââââââââââââââââââââââ | 39.4M/48.3M [01:32<00:21, 412kB/s]
82%|âââââââââââââââââââââââââââââââ | 39.5M/48.3M [01:32<00:21, 408kB/s]
82%|âââââââââââââââââââââââââââââââ | 39.5M/48.3M [01:32<00:20, 426kB/s]
82%|âââââââââââââââââââââââââââââââ | 39.6M/48.3M [01:32<00:19, 441kB/s]
82%|ââââââââââââââââââââââââââââââââ | 39.6M/48.3M [01:32<00:19, 447kB/s]
82%|ââââââââââââââââââââââââââââââââ | 39.7M/48.3M [01:32<00:19, 455kB/s]
82%|ââââââââââââââââââââââââââââââââ | 39.7M/48.3M [01:32<00:19, 445kB/s]
82%|ââââââââââââââââââââââââââââââââ | 39.8M/48.3M [01:33<00:19, 446kB/s]
82%|ââââââââââââââââââââââââââââââââ | 39.8M/48.3M [01:33<00:18, 457kB/s]
82%|ââââââââââââââââââââââââââââââââ | 39.9M/48.3M [01:33<00:18, 454kB/s]
83%|ââââââââââââââââââââââââââââââââ | 39.9M/48.3M [01:33<00:18, 451kB/s]
83%|ââââââââââââââââââââââââââââââââ | 40.0M/48.3M [01:33<00:18, 460kB/s]
83%|ââââââââââââââââââââââââââââââââ | 40.0M/48.3M [01:33<00:17, 464kB/s]
83%|ââââââââââââââââââââââââââââââââ | 40.1M/48.3M [01:33<00:17, 464kB/s]
83%|ââââââââââââââââââââââââââââââââ | 40.1M/48.3M [01:33<00:17, 461kB/s]
83%|ââââââââââââââââââââââââââââââââ | 40.2M/48.3M [01:33<00:18, 436kB/s]
83%|ââââââââââââââââââââââââââââââââ | 40.2M/48.3M [01:34<00:17, 468kB/s]
83%|ââââââââââââââââââââââââââââââââ | 40.3M/48.3M [01:34<00:17, 463kB/s]
83%|ââââââââââââââââââââââââââââââââ | 40.3M/48.3M [01:34<00:17, 460kB/s]
84%|ââââââââââââââââââââââââââââââââ | 40.4M/48.3M [01:34<00:17, 457kB/s]
84%|ââââââââââââââââââââââââââââââââ | 40.4M/48.3M [01:34<00:17, 462kB/s]
84%|ââââââââââââââââââââââââââââââââ | 40.5M/48.3M [01:34<00:17, 460kB/s]
84%|ââââââââââââââââââââââââââââââââ | 40.5M/48.3M [01:34<00:16, 464kB/s]
84%|ââââââââââââââââââââââââââââââââ | 40.6M/48.3M [01:34<00:16, 459kB/s]
84%|ââââââââââââââââââââââââââââââââ | 40.6M/48.3M [01:34<00:16, 462kB/s]
84%|ââââââââââââââââââââââââââââââââ | 40.7M/48.3M [01:35<00:16, 467kB/s]
84%|ââââââââââââââââââââââââââââââââ | 40.7M/48.3M [01:35<00:16, 460kB/s]
84%|ââââââââââââââââââââââââââââââââ | 40.8M/48.3M [01:35<00:16, 462kB/s]
84%|ââââââââââââââââââââââââââââââââ | 40.8M/48.3M [01:35<00:17, 424kB/s]
85%|âââââââââââââââââââââââââââââââââ | 40.9M/48.3M [01:35<00:16, 461kB/s]
85%|âââââââââââââââââââââââââââââââââ | 40.9M/48.3M [01:35<00:16, 450kB/s]
85%|âââââââââââââââââââââââââââââââââ | 41.0M/48.3M [01:35<00:15, 471kB/s]
85%|âââââââââââââââââââââââââââââââââ | 41.0M/48.3M [01:35<00:16, 445kB/s]
85%|âââââââââââââââââââââââââââââââââ | 41.1M/48.3M [01:35<00:16, 432kB/s]
85%|âââââââââââââââââââââââââââââââââ | 41.1M/48.3M [01:36<00:16, 433kB/s]
85%|âââââââââââââââââââââââââââââââââ | 41.2M/48.3M [01:36<00:16, 444kB/s]
85%|âââââââââââââââââââââââââââââââââ | 41.2M/48.3M [01:36<00:16, 418kB/s]
85%|âââââââââââââââââââââââââââââââââ | 41.3M/48.3M [01:36<00:16, 416kB/s]
86%|âââââââââââââââââââââââââââââââââ | 41.3M/48.3M [01:36<00:16, 420kB/s]
86%|âââââââââââââââââââââââââââââââââ | 41.4M/48.3M [01:36<00:17, 408kB/s]
86%|âââââââââââââââââââââââââââââââââ | 41.4M/48.3M [01:36<00:16, 413kB/s]
86%|âââââââââââââââââââââââââââââââââ | 41.5M/48.3M [01:36<00:17, 403kB/s]
86%|âââââââââââââââââââââââââââââââââ | 41.5M/48.3M [01:37<00:15, 434kB/s]
86%|âââââââââââââââââââââââââââââââââ | 41.6M/48.3M [01:37<00:15, 433kB/s]
86%|âââââââââââââââââââââââââââââââââ | 41.6M/48.3M [01:37<00:15, 431kB/s]
86%|âââââââââââââââââââââââââââââââââ | 41.7M/48.3M [01:37<00:15, 428kB/s]
86%|âââââââââââââââââââââââââââââââââ | 41.7M/48.3M [01:37<00:16, 404kB/s]
86%|âââââââââââââââââââââââââââââââââ | 41.8M/48.3M [01:37<00:16, 392kB/s]
87%|âââââââââââââââââââââââââââââââââ | 41.8M/48.3M [01:37<00:17, 381kB/s]
87%|âââââââââââââââââââââââââââââââââ | 41.9M/48.3M [01:37<00:16, 384kB/s]
87%|âââââââââââââââââââââââââââââââââ | 41.9M/48.3M [01:38<00:17, 372kB/s]
87%|âââââââââââââââââââââââââââââââââ | 42.0M/48.3M [01:38<00:16, 387kB/s]
87%|âââââââââââââââââââââââââââââââââ | 42.0M/48.3M [01:38<00:16, 389kB/s]
87%|âââââââââââââââââââââââââââââââââ | 42.1M/48.3M [01:38<00:15, 392kB/s]
87%|ââââââââââââââââââââââââââââââââââ | 42.1M/48.3M [01:38<00:15, 406kB/s]
87%|ââââââââââââââââââââââââââââââââââ | 42.2M/48.3M [01:38<00:14, 415kB/s]
87%|ââââââââââââââââââââââââââââââââââ | 42.2M/48.3M [01:38<00:14, 427kB/s]
87%|ââââââââââââââââââââââââââââââââââ | 42.3M/48.3M [01:38<00:13, 438kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 42.3M/48.3M [01:38<00:13, 439kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 42.4M/48.3M [01:39<00:13, 441kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 42.4M/48.3M [01:39<00:13, 445kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 42.5M/48.3M [01:39<00:13, 421kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 42.5M/48.3M [01:39<00:14, 395kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 42.6M/48.3M [01:39<00:13, 433kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 42.6M/48.3M [01:39<00:12, 448kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 42.7M/48.3M [01:39<00:12, 442kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 42.7M/48.3M [01:39<00:12, 436kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 42.8M/48.3M [01:40<00:13, 425kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 42.8M/48.3M [01:40<00:13, 420kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 42.9M/48.3M [01:40<00:12, 428kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 42.9M/48.3M [01:40<00:13, 401kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 43.0M/48.3M [01:40<00:12, 420kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 43.1M/48.3M [01:40<00:12, 418kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 43.1M/48.3M [01:40<00:12, 416kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 43.2M/48.3M [01:40<00:11, 432kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 43.2M/48.3M [01:41<00:11, 442kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 43.3M/48.3M [01:41<00:11, 433kB/s]
90%|ââââââââââââââââââââââââââââââââââ | 43.3M/48.3M [01:41<00:12, 416kB/s]
90%|ââââââââââââââââââââââââââââââââââ | 43.4M/48.3M [01:41<00:12, 407kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 43.4M/48.3M [01:41<00:11, 444kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 43.5M/48.3M [01:41<00:11, 439kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 43.5M/48.3M [01:41<00:11, 432kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 43.6M/48.3M [01:41<00:11, 427kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 43.6M/48.3M [01:41<00:11, 426kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 43.7M/48.3M [01:42<00:10, 435kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 43.7M/48.3M [01:42<00:10, 440kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 43.8M/48.3M [01:42<00:11, 416kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 43.8M/48.3M [01:42<00:10, 418kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 43.9M/48.3M [01:42<00:10, 416kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 43.9M/48.3M [01:42<00:10, 437kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 44.0M/48.3M [01:42<00:09, 440kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 44.0M/48.3M [01:42<00:10, 428kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 44.1M/48.3M [01:43<00:09, 428kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 44.1M/48.3M [01:43<00:10, 422kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 44.2M/48.3M [01:43<00:09, 424kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 44.2M/48.3M [01:43<00:09, 424kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 44.3M/48.3M [01:43<00:09, 428kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 44.3M/48.3M [01:43<00:09, 426kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 44.4M/48.3M [01:43<00:09, 422kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 44.4M/48.3M [01:43<00:09, 407kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 44.4M/48.3M [01:43<00:09, 401kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 44.5M/48.3M [01:44<00:08, 435kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 44.6M/48.3M [01:44<00:09, 413kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 44.6M/48.3M [01:44<00:08, 428kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 44.7M/48.3M [01:44<00:08, 415kB/s]
92%|ââââââââââââââââââââââââââââââââââââ | 44.7M/48.3M [01:44<00:08, 414kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 44.8M/48.3M [01:44<00:08, 441kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 44.8M/48.3M [01:44<00:07, 444kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 44.9M/48.3M [01:44<00:07, 445kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 44.9M/48.3M [01:45<00:08, 416kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 44.9M/48.3M [01:45<00:08, 384kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 45.0M/48.3M [01:45<00:07, 433kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 45.1M/48.3M [01:45<00:07, 445kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 45.1M/48.3M [01:45<00:07, 442kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 45.2M/48.3M [01:45<00:07, 428kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 45.2M/48.3M [01:45<00:07, 429kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 45.3M/48.3M [01:45<00:07, 423kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 45.3M/48.3M [01:45<00:07, 427kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 45.4M/48.3M [01:46<00:06, 435kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 45.4M/48.3M [01:46<00:06, 441kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 45.4M/48.3M [01:46<00:06, 443kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 45.5M/48.3M [01:46<00:06, 447kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 45.5M/48.3M [01:46<00:06, 446kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 45.6M/48.3M [01:46<00:06, 446kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 45.6M/48.3M [01:46<00:06, 442kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 45.7M/48.3M [01:46<00:06, 432kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 45.7M/48.3M [01:46<00:06, 412kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 45.8M/48.3M [01:47<00:06, 421kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 45.8M/48.3M [01:47<00:05, 429kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 45.9M/48.3M [01:47<00:05, 427kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 45.9M/48.3M [01:47<00:05, 421kB/s]
95%|âââââââââââââââââââââââââââââââââââââ | 46.0M/48.3M [01:47<00:05, 414kB/s]
95%|âââââââââââââââââââââââââââââââââââââ | 46.0M/48.3M [01:47<00:05, 414kB/s]
95%|âââââââââââââââââââââââââââââââââââââ | 46.1M/48.3M [01:47<00:05, 412kB/s]
95%|âââââââââââââââââââââââââââââââââââââ | 46.1M/48.3M [01:47<00:05, 420kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 46.2M/48.3M [01:48<00:05, 409kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 46.2M/48.3M [01:48<00:04, 424kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 46.3M/48.3M [01:48<00:04, 423kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 46.3M/48.3M [01:48<00:04, 430kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 46.4M/48.3M [01:48<00:04, 422kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 46.4M/48.3M [01:48<00:04, 422kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 46.5M/48.3M [01:48<00:04, 423kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 46.5M/48.3M [01:48<00:04, 424kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 46.6M/48.3M [01:48<00:04, 432kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 46.6M/48.3M [01:49<00:03, 441kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 46.7M/48.3M [01:49<00:03, 436kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 46.7M/48.3M [01:49<00:03, 439kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 46.8M/48.3M [01:49<00:03, 422kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 46.8M/48.3M [01:49<00:03, 428kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 46.9M/48.3M [01:49<00:03, 443kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 46.9M/48.3M [01:49<00:03, 450kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 47.0M/48.3M [01:49<00:03, 455kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 47.0M/48.3M [01:49<00:03, 431kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 47.1M/48.3M [01:50<00:03, 419kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 47.1M/48.3M [01:50<00:03, 401kB/s]
98%|âââââââââââââââââââââââââââââââââââââ | 47.2M/48.3M [01:50<00:02, 396kB/s]
98%|âââââââââââââââââââââââââââââââââââââ | 47.2M/48.3M [01:50<00:02, 387kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 47.3M/48.3M [01:50<00:02, 403kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 47.3M/48.3M [01:50<00:02, 414kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 47.4M/48.3M [01:50<00:02, 425kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 47.4M/48.3M [01:50<00:02, 436kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 47.5M/48.3M [01:51<00:02, 422kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 47.5M/48.3M [01:51<00:01, 436kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 47.6M/48.3M [01:51<00:01, 440kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 47.6M/48.3M [01:51<00:01, 477kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 47.7M/48.3M [01:51<00:01, 455kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 47.7M/48.3M [01:51<00:01, 449kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 47.8M/48.3M [01:51<00:01, 437kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 47.8M/48.3M [01:51<00:01, 422kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 47.9M/48.3M [01:51<00:01, 433kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 47.9M/48.3M [01:52<00:00, 422kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 48.0M/48.3M [01:52<00:00, 414kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 48.0M/48.3M [01:52<00:00, 398kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 48.1M/48.3M [01:52<00:00, 403kB/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 48.1M/48.3M [01:52<00:00, 409kB/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 48.2M/48.3M [01:52<00:00, 438kB/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 48.2M/48.3M [01:52<00:00, 447kB/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 48.3M/48.3M [01:52<00:00, 455kB/s]
0%| | 0.00/48.3M [00:00<?, ?B/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 48.3M/48.3M [00:00<00:00, 206GB/s]
0%| | 0.00/4.62k [00:00<?, ?B/s]
0%| | 0.00/4.62k [00:00<?, ?B/s]
100%|âââââââââââââââââââââââââââââââââââââ| 4.62k/4.62k [00:00<00:00, 28.2MB/s]
0%| | 0.00/51.1M [00:00<?, ?B/s]
0%| | 32.8k/51.1M [00:00<02:46, 308kB/s]
0%| | 98.3k/51.1M [00:00<01:55, 441kB/s]
0%| | 147k/51.1M [00:00<01:55, 443kB/s]
0%|â | 197k/51.1M [00:00<01:55, 440kB/s]
0%|â | 246k/51.1M [00:00<01:58, 428kB/s]
1%|â | 295k/51.1M [00:00<01:54, 443kB/s]
1%|â | 344k/51.1M [00:00<01:54, 442kB/s]
1%|â | 393k/51.1M [00:00<01:55, 438kB/s]
1%|â | 442k/51.1M [00:01<01:54, 443kB/s]
1%|â | 492k/51.1M [00:01<01:59, 423kB/s]
1%|â | 541k/51.1M [00:01<02:03, 408kB/s]
1%|â | 590k/51.1M [00:01<02:05, 402kB/s]
1%|â | 655k/51.1M [00:01<01:57, 428kB/s]
1%|â | 705k/51.1M [00:01<02:01, 415kB/s]
2%|â | 770k/51.1M [00:01<01:53, 444kB/s]
2%|â | 819k/51.1M [00:01<01:58, 423kB/s]
2%|â | 868k/51.1M [00:02<02:00, 418kB/s]
2%|â | 918k/51.1M [00:02<01:57, 427kB/s]
2%|â | 967k/51.1M [00:02<01:57, 428kB/s]
2%|â | 1.02M/51.1M [00:02<01:56, 430kB/s]
2%|â | 1.06M/51.1M [00:02<01:58, 422kB/s]
2%|â | 1.13M/51.1M [00:02<01:52, 444kB/s]
2%|â | 1.18M/51.1M [00:02<01:52, 445kB/s]
2%|â | 1.23M/51.1M [00:02<01:53, 440kB/s]
3%|â | 1.28M/51.1M [00:02<01:53, 439kB/s]
3%|â | 1.33M/51.1M [00:03<01:49, 453kB/s]
3%|â | 1.39M/51.1M [00:03<01:45, 472kB/s]
3%|â | 1.44M/51.1M [00:03<01:44, 475kB/s]
3%|â | 1.49M/51.1M [00:03<01:46, 468kB/s]
3%|ââ | 1.54M/51.1M [00:03<01:50, 447kB/s]
3%|ââ | 1.61M/51.1M [00:03<01:45, 468kB/s]
3%|ââ | 1.65M/51.1M [00:03<01:46, 466kB/s]
3%|ââ | 1.70M/51.1M [00:03<01:45, 468kB/s]
3%|ââ | 1.75M/51.1M [00:03<01:51, 444kB/s]
4%|ââ | 1.82M/51.1M [00:04<01:41, 487kB/s]
4%|ââ | 1.87M/51.1M [00:04<01:42, 482kB/s]
4%|ââ | 1.92M/51.1M [00:04<01:43, 475kB/s]
4%|ââ | 1.97M/51.1M [00:04<01:46, 463kB/s]
4%|ââ | 2.02M/51.1M [00:04<01:46, 462kB/s]
4%|ââ | 2.06M/51.1M [00:04<01:46, 462kB/s]
4%|ââ | 2.11M/51.1M [00:04<01:47, 455kB/s]
4%|ââ | 2.16M/51.1M [00:04<01:46, 461kB/s]
4%|ââ | 2.21M/51.1M [00:04<01:51, 440kB/s]
4%|ââ | 2.28M/51.1M [00:05<01:43, 470kB/s]
5%|ââ | 2.33M/51.1M [00:05<01:44, 467kB/s]
5%|ââ | 2.38M/51.1M [00:05<01:44, 465kB/s]
5%|ââ | 2.42M/51.1M [00:05<01:46, 456kB/s]
5%|ââ | 2.47M/51.1M [00:05<01:47, 452kB/s]
5%|ââ | 2.52M/51.1M [00:05<01:47, 452kB/s]
5%|ââ | 2.57M/51.1M [00:05<01:46, 457kB/s]
5%|ââ | 2.62M/51.1M [00:05<01:48, 446kB/s]
5%|ââ | 2.69M/51.1M [00:06<01:43, 469kB/s]
5%|ââ | 2.74M/51.1M [00:06<01:42, 470kB/s]
5%|ââ | 2.79M/51.1M [00:06<01:48, 444kB/s]
6%|ââ | 2.83M/51.1M [00:06<01:48, 444kB/s]
6%|âââ | 2.88M/51.1M [00:06<01:50, 436kB/s]
6%|âââ | 2.92M/51.1M [00:06<01:52, 427kB/s]
6%|âââ | 2.97M/51.1M [00:06<01:52, 427kB/s]
6%|âââ | 3.01M/51.1M [00:06<01:49, 440kB/s]
6%|âââ | 3.06M/51.1M [00:06<01:47, 449kB/s]
6%|âââ | 3.11M/51.1M [00:06<01:47, 447kB/s]
6%|âââ | 3.16M/51.1M [00:07<01:46, 449kB/s]
6%|âââ | 3.21M/51.1M [00:07<01:47, 446kB/s]
6%|âââ | 3.26M/51.1M [00:07<01:56, 412kB/s]
6%|âââ | 3.31M/51.1M [00:07<01:54, 419kB/s]
7%|âââ | 3.36M/51.1M [00:07<01:52, 425kB/s]
7%|âââ | 3.41M/51.1M [00:07<01:51, 427kB/s]
7%|âââ | 3.46M/51.1M [00:07<01:52, 422kB/s]
7%|âââ | 3.51M/51.1M [00:07<01:55, 411kB/s]
7%|âââ | 3.56M/51.1M [00:08<01:53, 418kB/s]
7%|âââ | 3.60M/51.1M [00:08<01:50, 428kB/s]
7%|âââ | 3.65M/51.1M [00:08<01:53, 419kB/s]
7%|âââ | 3.70M/51.1M [00:08<01:49, 435kB/s]
7%|âââ | 3.75M/51.1M [00:08<01:54, 415kB/s]
7%|âââ | 3.82M/51.1M [00:08<01:45, 448kB/s]
8%|âââ | 3.87M/51.1M [00:08<01:45, 449kB/s]
8%|âââ | 3.92M/51.1M [00:08<01:45, 449kB/s]
8%|âââ | 3.96M/51.1M [00:08<01:45, 447kB/s]
8%|âââ | 4.01M/51.1M [00:09<01:55, 406kB/s]
8%|âââ | 4.06M/51.1M [00:09<01:52, 418kB/s]
8%|âââ | 4.11M/51.1M [00:09<01:49, 431kB/s]
8%|âââ | 4.16M/51.1M [00:09<01:46, 440kB/s]
8%|ââââ | 4.21M/51.1M [00:09<01:44, 451kB/s]
8%|ââââ | 4.26M/51.1M [00:09<01:43, 452kB/s]
8%|ââââ | 4.31M/51.1M [00:09<01:42, 456kB/s]
9%|ââââ | 4.36M/51.1M [00:09<01:43, 453kB/s]
9%|ââââ | 4.41M/51.1M [00:09<01:41, 459kB/s]
9%|ââââ | 4.46M/51.1M [00:10<01:45, 442kB/s]
9%|ââââ | 4.52M/51.1M [00:10<01:42, 456kB/s]
9%|ââââ | 4.57M/51.1M [00:10<01:42, 455kB/s]
9%|ââââ | 4.62M/51.1M [00:10<01:43, 448kB/s]
9%|ââââ | 4.67M/51.1M [00:10<01:43, 447kB/s]
9%|ââââ | 4.72M/51.1M [00:10<01:42, 453kB/s]
9%|ââââ | 4.77M/51.1M [00:10<01:41, 457kB/s]
9%|ââââ | 4.82M/51.1M [00:10<01:41, 458kB/s]
10%|ââââ | 4.87M/51.1M [00:10<01:40, 461kB/s]
10%|ââââ | 4.92M/51.1M [00:11<01:39, 462kB/s]
10%|ââââ | 4.96M/51.1M [00:11<01:44, 440kB/s]
10%|ââââ | 5.03M/51.1M [00:11<01:35, 483kB/s]
10%|ââââ | 5.08M/51.1M [00:11<01:37, 473kB/s]
10%|ââââ | 5.13M/51.1M [00:11<01:39, 461kB/s]
10%|ââââ | 5.18M/51.1M [00:11<01:44, 439kB/s]
10%|ââââ | 5.23M/51.1M [00:11<01:48, 424kB/s]
10%|ââââ | 5.28M/51.1M [00:11<01:48, 423kB/s]
10%|ââââ | 5.32M/51.1M [00:12<01:44, 436kB/s]
11%|ââââ | 5.37M/51.1M [00:12<01:41, 451kB/s]
11%|ââââ | 5.42M/51.1M [00:12<01:41, 450kB/s]
11%|ââââ | 5.49M/51.1M [00:12<01:38, 465kB/s]
11%|ââââ | 5.54M/51.1M [00:12<01:42, 446kB/s]
11%|âââââ | 5.59M/51.1M [00:12<01:45, 430kB/s]
11%|âââââ | 5.64M/51.1M [00:12<01:53, 402kB/s]
11%|âââââ | 5.69M/51.1M [00:12<01:48, 418kB/s]
11%|âââââ | 5.73M/51.1M [00:12<01:52, 405kB/s]
11%|âââââ | 5.78M/51.1M [00:13<01:49, 413kB/s]
11%|âââââ | 5.83M/51.1M [00:13<01:47, 422kB/s]
12%|âââââ | 5.88M/51.1M [00:13<01:45, 427kB/s]
12%|âââââ | 5.93M/51.1M [00:13<01:45, 427kB/s]
12%|âââââ | 5.98M/51.1M [00:13<01:53, 399kB/s]
12%|âââââ | 6.03M/51.1M [00:13<01:48, 414kB/s]
12%|âââââ | 6.08M/51.1M [00:13<01:50, 406kB/s]
12%|âââââ | 6.13M/51.1M [00:13<01:52, 399kB/s]
12%|âââââ | 6.18M/51.1M [00:14<01:52, 400kB/s]
12%|âââââ | 6.23M/51.1M [00:14<01:51, 402kB/s]
12%|âââââ | 6.28M/51.1M [00:14<01:54, 393kB/s]
12%|âââââ | 6.32M/51.1M [00:14<01:52, 398kB/s]
12%|âââââ | 6.37M/51.1M [00:14<01:56, 384kB/s]
13%|âââââ | 6.44M/51.1M [00:14<01:43, 431kB/s]
13%|âââââ | 6.49M/51.1M [00:14<01:42, 433kB/s]
13%|âââââ | 6.54M/51.1M [00:14<01:44, 429kB/s]
13%|âââââ | 6.59M/51.1M [00:15<01:43, 428kB/s]
13%|âââââ | 6.64M/51.1M [00:15<01:52, 394kB/s]
13%|âââââ | 6.68M/51.1M [00:15<01:48, 408kB/s]
13%|âââââ | 6.73M/51.1M [00:15<01:47, 415kB/s]
13%|âââââ | 6.78M/51.1M [00:15<01:45, 422kB/s]
13%|âââââ | 6.83M/51.1M [00:15<01:48, 407kB/s]
13%|âââââ | 6.88M/51.1M [00:15<01:49, 402kB/s]
14%|ââââââ | 6.93M/51.1M [00:15<01:47, 411kB/s]
14%|ââââââ | 6.98M/51.1M [00:15<01:46, 416kB/s]
14%|ââââââ | 7.03M/51.1M [00:16<01:43, 425kB/s]
14%|ââââââ | 7.08M/51.1M [00:16<01:44, 422kB/s]
14%|ââââââ | 7.13M/51.1M [00:16<01:49, 403kB/s]
14%|ââââââ | 7.18M/51.1M [00:16<01:49, 400kB/s]
14%|ââââââ | 7.23M/51.1M [00:16<01:49, 400kB/s]
14%|ââââââ | 7.29M/51.1M [00:16<01:41, 430kB/s]
14%|ââââââ | 7.34M/51.1M [00:16<01:41, 430kB/s]
14%|ââââââ | 7.39M/51.1M [00:16<01:40, 433kB/s]
15%|ââââââ | 7.44M/51.1M [00:17<01:38, 445kB/s]
15%|ââââââ | 7.49M/51.1M [00:17<01:36, 452kB/s]
15%|ââââââ | 7.54M/51.1M [00:17<01:35, 455kB/s]
15%|ââââââ | 7.59M/51.1M [00:17<01:36, 453kB/s]
15%|ââââââ | 7.63M/51.1M [00:17<01:35, 454kB/s]
15%|ââââââ | 7.68M/51.1M [00:17<01:37, 443kB/s]
15%|ââââââ | 7.73M/51.1M [00:17<01:38, 441kB/s]
15%|ââââââ | 7.78M/51.1M [00:17<01:37, 445kB/s]
15%|ââââââ | 7.83M/51.1M [00:17<01:36, 450kB/s]
15%|ââââââ | 7.88M/51.1M [00:18<01:35, 452kB/s]
16%|ââââââ | 7.93M/51.1M [00:18<01:38, 439kB/s]
16%|ââââââ | 7.98M/51.1M [00:18<01:44, 414kB/s]
16%|ââââââ | 8.03M/51.1M [00:18<01:40, 427kB/s]
16%|ââââââ | 8.08M/51.1M [00:18<01:39, 434kB/s]
16%|ââââââ | 8.13M/51.1M [00:18<01:37, 442kB/s]
16%|ââââââ | 8.18M/51.1M [00:18<01:36, 443kB/s]
16%|ââââââ | 8.22M/51.1M [00:18<01:36, 445kB/s]
16%|âââââââ | 8.27M/51.1M [00:18<01:35, 451kB/s]
16%|âââââââ | 8.32M/51.1M [00:19<01:36, 442kB/s]
16%|âââââââ | 8.37M/51.1M [00:19<01:35, 447kB/s]
16%|âââââââ | 8.42M/51.1M [00:19<01:36, 443kB/s]
17%|âââââââ | 8.47M/51.1M [00:19<01:36, 441kB/s]
17%|âââââââ | 8.52M/51.1M [00:19<01:44, 407kB/s]
17%|âââââââ | 8.57M/51.1M [00:19<01:40, 424kB/s]
17%|âââââââ | 8.62M/51.1M [00:19<01:36, 440kB/s]
17%|âââââââ | 8.67M/51.1M [00:19<01:35, 445kB/s]
17%|âââââââ | 8.72M/51.1M [00:19<01:35, 442kB/s]
17%|âââââââ | 8.77M/51.1M [00:20<01:34, 447kB/s]
17%|âââââââ | 8.81M/51.1M [00:20<01:35, 445kB/s]
17%|âââââââ | 8.86M/51.1M [00:20<01:34, 449kB/s]
17%|âââââââ | 8.91M/51.1M [00:20<01:33, 451kB/s]
18%|âââââââ | 8.96M/51.1M [00:20<01:33, 453kB/s]
18%|âââââââ | 9.01M/51.1M [00:20<01:42, 411kB/s]
18%|âââââââ | 9.06M/51.1M [00:20<01:40, 420kB/s]
18%|âââââââ | 9.11M/51.1M [00:20<01:37, 431kB/s]
18%|âââââââ | 9.16M/51.1M [00:20<01:36, 437kB/s]
18%|âââââââ | 9.21M/51.1M [00:21<01:41, 413kB/s]
18%|âââââââ | 9.27M/51.1M [00:21<01:30, 463kB/s]
18%|âââââââ | 9.32M/51.1M [00:21<01:29, 469kB/s]
18%|âââââââ | 9.37M/51.1M [00:21<01:29, 466kB/s]
18%|âââââââ | 9.42M/51.1M [00:21<01:29, 464kB/s]
19%|âââââââ | 9.47M/51.1M [00:21<01:29, 465kB/s]
19%|âââââââ | 9.52M/51.1M [00:21<01:35, 438kB/s]
19%|ââââââââ | 9.58M/51.1M [00:21<01:28, 469kB/s]
19%|ââââââââ | 9.63M/51.1M [00:22<01:34, 437kB/s]
19%|ââââââââ | 9.70M/51.1M [00:22<01:27, 474kB/s]
19%|ââââââââ | 9.75M/51.1M [00:22<01:28, 469kB/s]
19%|ââââââââ | 9.80M/51.1M [00:22<01:30, 458kB/s]
19%|ââââââââ | 9.85M/51.1M [00:22<01:30, 458kB/s]
19%|ââââââââ | 9.90M/51.1M [00:22<01:30, 457kB/s]
19%|ââââââââ | 9.95M/51.1M [00:22<01:28, 463kB/s]
20%|ââââââââ | 9.99M/51.1M [00:22<01:29, 458kB/s]
20%|ââââââââ | 10.0M/51.1M [00:22<01:28, 466kB/s]
20%|ââââââââ | 10.1M/51.1M [00:23<01:28, 465kB/s]
20%|ââââââââ | 10.1M/51.1M [00:23<01:28, 464kB/s]
20%|ââââââââ | 10.2M/51.1M [00:23<01:28, 465kB/s]
20%|ââââââââ | 10.2M/51.1M [00:23<01:27, 468kB/s]
20%|ââââââââ | 10.3M/51.1M [00:23<01:27, 465kB/s]
20%|ââââââââ | 10.3M/51.1M [00:23<01:27, 465kB/s]
20%|ââââââââ | 10.4M/51.1M [00:23<01:28, 460kB/s]
20%|ââââââââ | 10.4M/51.1M [00:23<01:28, 461kB/s]
21%|ââââââââ | 10.5M/51.1M [00:23<01:28, 461kB/s]
21%|ââââââââ | 10.5M/51.1M [00:23<01:28, 460kB/s]
21%|ââââââââ | 10.6M/51.1M [00:24<01:27, 465kB/s]
21%|ââââââââ | 10.6M/51.1M [00:24<01:27, 461kB/s]
21%|ââââââââ | 10.7M/51.1M [00:24<01:29, 454kB/s]
21%|ââââââââ | 10.7M/51.1M [00:24<01:29, 453kB/s]
21%|ââââââââ | 10.8M/51.1M [00:24<01:29, 449kB/s]
21%|ââââââââ | 10.8M/51.1M [00:24<01:27, 461kB/s]
21%|ââââââââ | 10.9M/51.1M [00:24<01:26, 464kB/s]
21%|âââââââââ | 10.9M/51.1M [00:24<01:32, 436kB/s]
22%|âââââââââ | 11.0M/51.1M [00:24<01:26, 466kB/s]
22%|âââââââââ | 11.1M/51.1M [00:25<01:26, 463kB/s]
22%|âââââââââ | 11.1M/51.1M [00:25<01:27, 459kB/s]
22%|âââââââââ | 11.2M/51.1M [00:25<01:29, 449kB/s]
22%|âââââââââ | 11.2M/51.1M [00:25<01:26, 463kB/s]
22%|âââââââââ | 11.3M/51.1M [00:25<01:28, 449kB/s]
22%|âââââââââ | 11.3M/51.1M [00:25<01:32, 433kB/s]
22%|âââââââââ | 11.4M/51.1M [00:25<01:33, 425kB/s]
22%|âââââââââ | 11.4M/51.1M [00:25<01:31, 434kB/s]
22%|âââââââââ | 11.5M/51.1M [00:26<01:30, 439kB/s]
23%|âââââââââ | 11.5M/51.1M [00:26<01:29, 443kB/s]
23%|âââââââââ | 11.6M/51.1M [00:26<01:34, 417kB/s]
23%|âââââââââ | 11.6M/51.1M [00:26<01:36, 410kB/s]
23%|âââââââââ | 11.6M/51.1M [00:26<01:35, 412kB/s]
23%|âââââââââ | 11.7M/51.1M [00:26<01:33, 422kB/s]
23%|âââââââââ | 11.7M/51.1M [00:26<01:33, 420kB/s]
23%|âââââââââ | 11.8M/51.1M [00:26<01:32, 424kB/s]
23%|âââââââââ | 11.8M/51.1M [00:26<01:29, 438kB/s]
23%|âââââââââ | 11.9M/51.1M [00:27<01:28, 442kB/s]
23%|âââââââââ | 12.0M/51.1M [00:27<01:24, 465kB/s]
24%|âââââââââ | 12.0M/51.1M [00:27<01:23, 467kB/s]
24%|âââââââââ | 12.1M/51.1M [00:27<01:25, 459kB/s]
24%|âââââââââ | 12.1M/51.1M [00:27<01:24, 460kB/s]
24%|âââââââââ | 12.2M/51.1M [00:27<01:25, 454kB/s]
24%|âââââââââ | 12.2M/51.1M [00:27<01:24, 462kB/s]
24%|âââââââââ | 12.3M/51.1M [00:27<01:25, 456kB/s]
24%|ââââââââââ | 12.3M/51.1M [00:27<01:26, 449kB/s]
24%|ââââââââââ | 12.4M/51.1M [00:28<01:23, 462kB/s]
24%|ââââââââââ | 12.4M/51.1M [00:28<01:24, 460kB/s]
24%|ââââââââââ | 12.5M/51.1M [00:28<01:29, 431kB/s]
25%|ââââââââââ | 12.5M/51.1M [00:28<01:27, 442kB/s]
25%|ââââââââââ | 12.6M/51.1M [00:28<01:26, 443kB/s]
25%|ââââââââââ | 12.6M/51.1M [00:28<01:25, 450kB/s]
25%|ââââââââââ | 12.7M/51.1M [00:28<01:31, 420kB/s]
25%|ââââââââââ | 12.7M/51.1M [00:28<01:30, 423kB/s]
25%|ââââââââââ | 12.8M/51.1M [00:29<01:30, 422kB/s]
25%|ââââââââââ | 12.8M/51.1M [00:29<01:27, 439kB/s]
25%|ââââââââââ | 12.9M/51.1M [00:29<01:23, 457kB/s]
25%|ââââââââââ | 12.9M/51.1M [00:29<01:23, 457kB/s]
25%|ââââââââââ | 13.0M/51.1M [00:29<01:23, 458kB/s]
26%|ââââââââââ | 13.0M/51.1M [00:29<01:25, 445kB/s]
26%|ââââââââââ | 13.1M/51.1M [00:29<01:24, 448kB/s]
26%|ââââââââââ | 13.1M/51.1M [00:29<01:22, 459kB/s]
26%|ââââââââââ | 13.2M/51.1M [00:29<01:23, 452kB/s]
26%|ââââââââââ | 13.2M/51.1M [00:30<01:23, 451kB/s]
26%|ââââââââââ | 13.3M/51.1M [00:30<01:30, 418kB/s]
26%|ââââââââââ | 13.3M/51.1M [00:30<01:34, 400kB/s]
26%|ââââââââââ | 13.4M/51.1M [00:30<01:34, 401kB/s]
26%|ââââââââââ | 13.5M/51.1M [00:30<01:31, 410kB/s]
26%|ââââââââââ | 13.5M/51.1M [00:30<01:22, 454kB/s]
27%|ââââââââââ | 13.6M/51.1M [00:30<01:21, 459kB/s]
27%|ââââââââââ | 13.6M/51.1M [00:30<01:21, 459kB/s]
27%|âââââââââââ | 13.7M/51.1M [00:31<01:21, 457kB/s]
27%|âââââââââââ | 13.7M/51.1M [00:31<01:23, 449kB/s]
27%|âââââââââââ | 13.8M/51.1M [00:31<01:22, 455kB/s]
27%|âââââââââââ | 13.8M/51.1M [00:31<01:22, 452kB/s]
27%|âââââââââââ | 13.9M/51.1M [00:31<01:23, 444kB/s]
27%|âââââââââââ | 13.9M/51.1M [00:31<01:28, 418kB/s]
27%|âââââââââââ | 14.0M/51.1M [00:31<01:26, 427kB/s]
27%|âââââââââââ | 14.0M/51.1M [00:31<01:24, 439kB/s]
28%|âââââââââââ | 14.1M/51.1M [00:31<01:23, 441kB/s]
28%|âââââââââââ | 14.1M/51.1M [00:32<01:22, 447kB/s]
28%|âââââââââââ | 14.2M/51.1M [00:32<01:23, 443kB/s]
28%|âââââââââââ | 14.2M/51.1M [00:32<01:21, 452kB/s]
28%|âââââââââââ | 14.3M/51.1M [00:32<01:21, 451kB/s]
28%|âââââââââââ | 14.3M/51.1M [00:32<01:20, 457kB/s]
28%|âââââââââââ | 14.4M/51.1M [00:32<01:21, 450kB/s]
28%|âââââââââââ | 14.4M/51.1M [00:32<01:25, 432kB/s]
28%|âââââââââââ | 14.5M/51.1M [00:32<01:28, 415kB/s]
28%|âââââââââââ | 14.5M/51.1M [00:32<01:26, 425kB/s]
28%|âââââââââââ | 14.5M/51.1M [00:33<01:22, 443kB/s]
29%|âââââââââââ | 14.6M/51.1M [00:33<01:21, 450kB/s]
29%|âââââââââââ | 14.6M/51.1M [00:33<01:20, 453kB/s]
29%|âââââââââââ | 14.7M/51.1M [00:33<01:21, 445kB/s]
29%|âââââââââââ | 14.7M/51.1M [00:33<01:24, 429kB/s]
29%|âââââââââââ | 14.8M/51.1M [00:33<01:27, 415kB/s]
29%|âââââââââââ | 14.8M/51.1M [00:33<01:25, 426kB/s]
29%|âââââââââââ | 14.9M/51.1M [00:33<01:25, 424kB/s]
29%|âââââââââââ | 14.9M/51.1M [00:33<01:23, 434kB/s]
29%|ââââââââââââ | 15.0M/51.1M [00:34<01:28, 409kB/s]
29%|ââââââââââââ | 15.0M/51.1M [00:34<01:27, 414kB/s]
30%|ââââââââââââ | 15.1M/51.1M [00:34<01:27, 413kB/s]
30%|ââââââââââââ | 15.1M/51.1M [00:34<01:25, 422kB/s]
30%|ââââââââââââ | 15.2M/51.1M [00:34<01:21, 439kB/s]
30%|ââââââââââââ | 15.2M/51.1M [00:34<01:21, 442kB/s]
30%|ââââââââââââ | 15.3M/51.1M [00:34<01:21, 442kB/s]
30%|ââââââââââââ | 15.3M/51.1M [00:34<01:23, 427kB/s]
30%|ââââââââââââ | 15.4M/51.1M [00:34<01:26, 412kB/s]
30%|ââââââââââââ | 15.4M/51.1M [00:35<01:24, 420kB/s]
30%|ââââââââââââ | 15.5M/51.1M [00:35<01:23, 428kB/s]
30%|ââââââââââââ | 15.5M/51.1M [00:35<01:23, 429kB/s]
30%|ââââââââââââ | 15.6M/51.1M [00:35<01:20, 439kB/s]
31%|ââââââââââââ | 15.6M/51.1M [00:35<01:23, 422kB/s]
31%|ââââââââââââ | 15.7M/51.1M [00:35<01:18, 450kB/s]
31%|ââââââââââââ | 15.7M/51.1M [00:35<01:18, 452kB/s]
31%|ââââââââââââ | 15.8M/51.1M [00:35<01:19, 445kB/s]
31%|ââââââââââââ | 15.8M/51.1M [00:36<01:18, 451kB/s]
31%|ââââââââââââ | 15.9M/51.1M [00:36<01:16, 461kB/s]
31%|ââââââââââââ | 16.0M/51.1M [00:36<01:19, 443kB/s]
31%|ââââââââââââ | 16.0M/51.1M [00:36<01:23, 421kB/s]
31%|ââââââââââââ | 16.1M/51.1M [00:36<01:22, 425kB/s]
32%|ââââââââââââ | 16.1M/51.1M [00:36<01:20, 436kB/s]
32%|ââââââââââââ | 16.2M/51.1M [00:36<01:21, 431kB/s]
32%|ââââââââââââ | 16.2M/51.1M [00:36<01:17, 452kB/s]
32%|ââââââââââââ | 16.3M/51.1M [00:36<01:17, 450kB/s]
32%|âââââââââââââ | 16.3M/51.1M [00:37<01:18, 445kB/s]
32%|âââââââââââââ | 16.4M/51.1M [00:37<01:19, 439kB/s]
32%|âââââââââââââ | 16.4M/51.1M [00:37<01:24, 409kB/s]
32%|âââââââââââââ | 16.5M/51.1M [00:37<01:22, 418kB/s]
32%|âââââââââââââ | 16.5M/51.1M [00:37<01:20, 429kB/s]
32%|âââââââââââââ | 16.6M/51.1M [00:37<01:22, 418kB/s]
33%|âââââââââââââ | 16.6M/51.1M [00:37<01:21, 422kB/s]
33%|âââââââââââââ | 16.7M/51.1M [00:37<01:22, 416kB/s]
33%|âââââââââââââ | 16.7M/51.1M [00:38<01:19, 431kB/s]
33%|âââââââââââââ | 16.8M/51.1M [00:38<01:18, 435kB/s]
33%|âââââââââââââ | 16.8M/51.1M [00:38<01:18, 437kB/s]
33%|âââââââââââââ | 16.9M/51.1M [00:38<01:14, 460kB/s]
33%|âââââââââââââ | 16.9M/51.1M [00:38<01:13, 463kB/s]
33%|âââââââââââââ | 17.0M/51.1M [00:38<01:19, 430kB/s]
33%|âââââââââââââ | 17.0M/51.1M [00:38<01:14, 456kB/s]
33%|âââââââââââââ | 17.1M/51.1M [00:38<01:19, 427kB/s]
34%|âââââââââââââ | 17.2M/51.1M [00:39<01:14, 458kB/s]
34%|âââââââââââââ | 17.2M/51.1M [00:39<01:14, 457kB/s]
34%|âââââââââââââ | 17.3M/51.1M [00:39<01:15, 448kB/s]
34%|âââââââââââââ | 17.3M/51.1M [00:39<01:15, 447kB/s]
34%|âââââââââââââ | 17.4M/51.1M [00:39<01:15, 448kB/s]
34%|âââââââââââââ | 17.4M/51.1M [00:39<01:15, 444kB/s]
34%|âââââââââââââ | 17.4M/51.1M [00:39<01:15, 446kB/s]
34%|âââââââââââââ | 17.5M/51.1M [00:39<01:15, 447kB/s]
34%|âââââââââââââ | 17.5M/51.1M [00:39<01:15, 446kB/s]
34%|âââââââââââââ | 17.6M/51.1M [00:40<01:16, 436kB/s]
35%|âââââââââââââ | 17.6M/51.1M [00:40<01:21, 410kB/s]
35%|ââââââââââââââ | 17.7M/51.1M [00:40<01:20, 415kB/s]
35%|ââââââââââââââ | 17.7M/51.1M [00:40<01:21, 411kB/s]
35%|ââââââââââââââ | 17.8M/51.1M [00:40<01:24, 392kB/s]
35%|ââââââââââââââ | 17.8M/51.1M [00:40<01:21, 410kB/s]
35%|ââââââââââââââ | 17.9M/51.1M [00:40<01:16, 431kB/s]
35%|ââââââââââââââ | 17.9M/51.1M [00:40<01:14, 447kB/s]
35%|ââââââââââââââ | 18.0M/51.1M [00:40<01:17, 430kB/s]
35%|ââââââââââââââ | 18.1M/51.1M [00:41<01:11, 465kB/s]
35%|ââââââââââââââ | 18.1M/51.1M [00:41<01:10, 471kB/s]
36%|ââââââââââââââ | 18.2M/51.1M [00:41<01:10, 464kB/s]
36%|ââââââââââââââ | 18.2M/51.1M [00:41<01:15, 435kB/s]
36%|ââââââââââââââ | 18.3M/51.1M [00:41<01:10, 468kB/s]
36%|ââââââââââââââ | 18.3M/51.1M [00:41<01:09, 470kB/s]
36%|ââââââââââââââ | 18.4M/51.1M [00:41<01:09, 471kB/s]
36%|ââââââââââââââ | 18.4M/51.1M [00:41<01:10, 461kB/s]
36%|ââââââââââââââ | 18.5M/51.1M [00:41<01:11, 457kB/s]
36%|ââââââââââââââ | 18.5M/51.1M [00:42<01:11, 454kB/s]
36%|ââââââââââââââ | 18.6M/51.1M [00:42<01:10, 462kB/s]
36%|ââââââââââââââ | 18.6M/51.1M [00:42<01:09, 470kB/s]
37%|ââââââââââââââ | 18.7M/51.1M [00:42<01:10, 462kB/s]
37%|ââââââââââââââ | 18.7M/51.1M [00:42<01:09, 464kB/s]
37%|ââââââââââââââ | 18.8M/51.1M [00:42<01:09, 464kB/s]
37%|ââââââââââââââ | 18.8M/51.1M [00:42<01:09, 464kB/s]
37%|ââââââââââââââ | 18.9M/51.1M [00:42<01:13, 437kB/s]
37%|ââââââââââââââ | 18.9M/51.1M [00:42<01:15, 429kB/s]
37%|ââââââââââââââ | 19.0M/51.1M [00:43<01:14, 434kB/s]
37%|âââââââââââââââ | 19.0M/51.1M [00:43<01:12, 445kB/s]
37%|âââââââââââââââ | 19.1M/51.1M [00:43<01:11, 447kB/s]
37%|âââââââââââââââ | 19.1M/51.1M [00:43<01:10, 455kB/s]
37%|âââââââââââââââ | 19.2M/51.1M [00:43<01:12, 441kB/s]
38%|âââââââââââââââ | 19.2M/51.1M [00:43<01:14, 427kB/s]
38%|âââââââââââââââ | 19.3M/51.1M [00:43<01:14, 426kB/s]
38%|âââââââââââââââ | 19.3M/51.1M [00:43<01:14, 426kB/s]
38%|âââââââââââââââ | 19.3M/51.1M [00:43<01:13, 433kB/s]
38%|âââââââââââââââ | 19.4M/51.1M [00:44<01:14, 426kB/s]
38%|âââââââââââââââ | 19.5M/51.1M [00:44<01:08, 460kB/s]
38%|âââââââââââââââ | 19.5M/51.1M [00:44<01:08, 460kB/s]
38%|âââââââââââââââ | 19.6M/51.1M [00:44<01:09, 454kB/s]
38%|âââââââââââââââ | 19.6M/51.1M [00:44<01:09, 455kB/s]
38%|âââââââââââââââ | 19.7M/51.1M [00:44<01:09, 456kB/s]
39%|âââââââââââââââ | 19.7M/51.1M [00:44<01:09, 454kB/s]
39%|âââââââââââââââ | 19.8M/51.1M [00:44<01:07, 462kB/s]
39%|âââââââââââââââ | 19.8M/51.1M [00:44<01:07, 465kB/s]
39%|âââââââââââââââ | 19.9M/51.1M [00:45<01:09, 450kB/s]
39%|âââââââââââââââ | 19.9M/51.1M [00:45<01:09, 449kB/s]
39%|âââââââââââââââ | 20.0M/51.1M [00:45<01:09, 446kB/s]
39%|âââââââââââââââ | 20.0M/51.1M [00:45<01:11, 436kB/s]
39%|âââââââââââââââ | 20.1M/51.1M [00:45<01:06, 464kB/s]
39%|âââââââââââââââ | 20.1M/51.1M [00:45<01:07, 461kB/s]
39%|âââââââââââââââ | 20.2M/51.1M [00:45<01:13, 421kB/s]
40%|âââââââââââââââ | 20.2M/51.1M [00:45<01:12, 429kB/s]
40%|âââââââââââââââ | 20.3M/51.1M [00:46<01:11, 434kB/s]
40%|âââââââââââââââ | 20.3M/51.1M [00:46<01:09, 442kB/s]
40%|ââââââââââââââââ | 20.4M/51.1M [00:46<01:09, 444kB/s]
40%|ââââââââââââââââ | 20.4M/51.1M [00:46<01:09, 444kB/s]
40%|ââââââââââââââââ | 20.5M/51.1M [00:46<01:11, 428kB/s]
40%|ââââââââââââââââ | 20.5M/51.1M [00:46<01:14, 410kB/s]
40%|ââââââââââââââââ | 20.6M/51.1M [00:46<01:12, 420kB/s]
40%|ââââââââââââââââ | 20.6M/51.1M [00:46<01:11, 429kB/s]
40%|ââââââââââââââââ | 20.7M/51.1M [00:46<01:09, 439kB/s]
41%|ââââââââââââââââ | 20.7M/51.1M [00:47<01:12, 417kB/s]
41%|ââââââââââââââââ | 20.8M/51.1M [00:47<01:15, 399kB/s]
41%|ââââââââââââââââ | 20.8M/51.1M [00:47<01:13, 412kB/s]
41%|ââââââââââââââââ | 20.9M/51.1M [00:47<01:10, 428kB/s]
41%|ââââââââââââââââ | 20.9M/51.1M [00:47<01:12, 417kB/s]
41%|ââââââââââââââââ | 21.0M/51.1M [00:47<01:07, 449kB/s]
41%|ââââââââââââââââ | 21.0M/51.1M [00:47<01:06, 449kB/s]
41%|ââââââââââââââââ | 21.1M/51.1M [00:47<01:07, 447kB/s]
41%|ââââââââââââââââ | 21.1M/51.1M [00:48<01:09, 430kB/s]
41%|ââââââââââââââââ | 21.2M/51.1M [00:48<01:02, 478kB/s]
42%|ââââââââââââââââ | 21.2M/51.1M [00:48<01:03, 473kB/s]
42%|ââââââââââââââââ | 21.3M/51.1M [00:48<01:04, 461kB/s]
42%|ââââââââââââââââ | 21.3M/51.1M [00:48<01:04, 465kB/s]
42%|ââââââââââââââââ | 21.4M/51.1M [00:48<01:05, 451kB/s]
42%|ââââââââââââââââ | 21.4M/51.1M [00:48<01:06, 449kB/s]
42%|ââââââââââââââââ | 21.5M/51.1M [00:48<01:06, 444kB/s]
42%|ââââââââââââââââ | 21.5M/51.1M [00:48<01:06, 445kB/s]
42%|ââââââââââââââââ | 21.6M/51.1M [00:49<01:06, 442kB/s]
42%|ââââââââââââââââ | 21.6M/51.1M [00:49<01:05, 447kB/s]
42%|ââââââââââââââââ | 21.7M/51.1M [00:49<01:05, 448kB/s]
42%|âââââââââââââââââ | 21.7M/51.1M [00:49<01:08, 430kB/s]
43%|âââââââââââââââââ | 21.8M/51.1M [00:49<01:09, 425kB/s]
43%|âââââââââââââââââ | 21.8M/51.1M [00:49<01:10, 415kB/s]
43%|âââââââââââââââââ | 21.9M/51.1M [00:49<01:08, 430kB/s]
43%|âââââââââââââââââ | 21.9M/51.1M [00:49<01:07, 434kB/s]
43%|âââââââââââââââââ | 22.0M/51.1M [00:49<01:06, 441kB/s]
43%|âââââââââââââââââ | 22.0M/51.1M [00:49<01:05, 441kB/s]
43%|âââââââââââââââââ | 22.0M/51.1M [00:50<01:07, 430kB/s]
43%|âââââââââââââââââ | 22.1M/51.1M [00:50<01:08, 423kB/s]
43%|âââââââââââââââââ | 22.1M/51.1M [00:50<01:08, 426kB/s]
43%|âââââââââââââââââ | 22.2M/51.1M [00:50<01:07, 430kB/s]
44%|âââââââââââââââââ | 22.2M/51.1M [00:50<01:06, 434kB/s]
44%|âââââââââââââââââ | 22.3M/51.1M [00:50<01:09, 413kB/s]
44%|âââââââââââââââââ | 22.3M/51.1M [00:50<01:03, 450kB/s]
44%|âââââââââââââââââ | 22.4M/51.1M [00:50<01:04, 446kB/s]
44%|âââââââââââââââââ | 22.4M/51.1M [00:51<01:04, 444kB/s]
44%|âââââââââââââââââ | 22.5M/51.1M [00:51<01:03, 449kB/s]
44%|âââââââââââââââââ | 22.5M/51.1M [00:51<01:02, 455kB/s]
44%|âââââââââââââââââ | 22.6M/51.1M [00:51<01:02, 457kB/s]
44%|âââââââââââââââââ | 22.6M/51.1M [00:51<01:01, 461kB/s]
44%|âââââââââââââââââ | 22.7M/51.1M [00:51<01:03, 451kB/s]
44%|âââââââââââââââââ | 22.7M/51.1M [00:51<01:02, 456kB/s]
45%|âââââââââââââââââ | 22.8M/51.1M [00:51<01:02, 455kB/s]
45%|âââââââââââââââââ | 22.8M/51.1M [00:51<01:01, 460kB/s]
45%|âââââââââââââââââ | 22.9M/51.1M [00:51<01:01, 461kB/s]
45%|âââââââââââââââââ | 22.9M/51.1M [00:52<01:01, 459kB/s]
45%|âââââââââââââââââ | 23.0M/51.1M [00:52<01:01, 454kB/s]
45%|ââââââââââââââââââ | 23.0M/51.1M [00:52<01:05, 428kB/s]
45%|ââââââââââââââââââ | 23.1M/51.1M [00:52<01:06, 424kB/s]
45%|ââââââââââââââââââ | 23.1M/51.1M [00:52<01:05, 429kB/s]
45%|ââââââââââââââââââ | 23.2M/51.1M [00:52<01:08, 405kB/s]
45%|ââââââââââââââââââ | 23.2M/51.1M [00:52<01:08, 409kB/s]
46%|ââââââââââââââââââ | 23.3M/51.1M [00:52<01:04, 431kB/s]
46%|ââââââââââââââââââ | 23.3M/51.1M [00:53<01:02, 444kB/s]
46%|ââââââââââââââââââ | 23.4M/51.1M [00:53<01:00, 456kB/s]
46%|ââââââââââââââââââ | 23.4M/51.1M [00:53<01:01, 447kB/s]
46%|ââââââââââââââââââ | 23.5M/51.1M [00:53<01:01, 448kB/s]
46%|ââââââââââââââââââ | 23.5M/51.1M [00:53<01:04, 431kB/s]
46%|ââââââââââââââââââ | 23.6M/51.1M [00:53<01:07, 410kB/s]
46%|ââââââââââââââââââ | 23.6M/51.1M [00:53<01:05, 419kB/s]
46%|ââââââââââââââââââ | 23.7M/51.1M [00:53<01:02, 438kB/s]
46%|ââââââââââââââââââ | 23.7M/51.1M [00:53<00:59, 460kB/s]
47%|ââââââââââââââââââ | 23.8M/51.1M [00:54<01:02, 439kB/s]
47%|ââââââââââââââââââ | 23.8M/51.1M [00:54<01:02, 438kB/s]
47%|ââââââââââââââââââ | 23.9M/51.1M [00:54<01:02, 432kB/s]
47%|ââââââââââââââââââ | 23.9M/51.1M [00:54<01:02, 436kB/s]
47%|ââââââââââââââââââ | 24.0M/51.1M [00:54<01:01, 440kB/s]
47%|ââââââââââââââââââ | 24.0M/51.1M [00:54<01:00, 450kB/s]
47%|ââââââââââââââââââ | 24.1M/51.1M [00:54<00:58, 461kB/s]
47%|ââââââââââââââââââ | 24.1M/51.1M [00:54<00:58, 458kB/s]
47%|ââââââââââââââââââ | 24.2M/51.1M [00:54<00:58, 464kB/s]
47%|ââââââââââââââââââ | 24.2M/51.1M [00:55<00:58, 458kB/s]
48%|ââââââââââââââââââ | 24.3M/51.1M [00:55<01:00, 440kB/s]
48%|ââââââââââââââââââ | 24.3M/51.1M [00:55<00:56, 470kB/s]
48%|âââââââââââââââââââ | 24.4M/51.1M [00:55<00:57, 466kB/s]
48%|âââââââââââââââââââ | 24.4M/51.1M [00:55<00:57, 466kB/s]
48%|âââââââââââââââââââ | 24.5M/51.1M [00:55<00:57, 465kB/s]
48%|âââââââââââââââââââ | 24.5M/51.1M [00:55<00:56, 467kB/s]
48%|âââââââââââââââââââ | 24.6M/51.1M [00:55<00:58, 457kB/s]
48%|âââââââââââââââââââ | 24.6M/51.1M [00:55<00:58, 454kB/s]
48%|âââââââââââââââââââ | 24.7M/51.1M [00:56<00:58, 452kB/s]
48%|âââââââââââââââââââ | 24.7M/51.1M [00:56<00:57, 460kB/s]
49%|âââââââââââââââââââ | 24.8M/51.1M [00:56<01:00, 434kB/s]
49%|âââââââââââââââââââ | 24.9M/51.1M [00:56<00:57, 460kB/s]
49%|âââââââââââââââââââ | 24.9M/51.1M [00:56<00:56, 464kB/s]
49%|âââââââââââââââââââ | 25.0M/51.1M [00:56<00:56, 460kB/s]
49%|âââââââââââââââââââ | 25.0M/51.1M [00:56<00:56, 460kB/s]
49%|âââââââââââââââââââ | 25.1M/51.1M [00:56<00:56, 462kB/s]
49%|âââââââââââââââââââ | 25.1M/51.1M [00:56<00:57, 453kB/s]
49%|âââââââââââââââââââ | 25.1M/51.1M [00:57<00:57, 452kB/s]
49%|âââââââââââââââââââ | 25.2M/51.1M [00:57<00:57, 447kB/s]
49%|âââââââââââââââââââ | 25.2M/51.1M [00:57<00:59, 437kB/s]
49%|âââââââââââââââââââ | 25.3M/51.1M [00:57<00:59, 437kB/s]
50%|âââââââââââââââââââ | 25.3M/51.1M [00:57<01:00, 426kB/s]
50%|âââââââââââââââââââ | 25.4M/51.1M [00:57<00:56, 453kB/s]
50%|âââââââââââââââââââ | 25.5M/51.1M [00:57<00:55, 460kB/s]
50%|âââââââââââââââââââ | 25.5M/51.1M [00:57<00:59, 434kB/s]
50%|âââââââââââââââââââ | 25.6M/51.1M [00:57<00:58, 440kB/s]
50%|âââââââââââââââââââ | 25.6M/51.1M [00:58<00:57, 440kB/s]
50%|âââââââââââââââââââ | 25.7M/51.1M [00:58<00:58, 438kB/s]
50%|âââââââââââââââââââ | 25.7M/51.1M [00:58<00:58, 436kB/s]
50%|ââââââââââââââââââââ | 25.8M/51.1M [00:58<00:57, 439kB/s]
50%|ââââââââââââââââââââ | 25.8M/51.1M [00:58<00:57, 437kB/s]
51%|ââââââââââââââââââââ | 25.9M/51.1M [00:58<00:56, 446kB/s]
51%|ââââââââââââââââââââ | 25.9M/51.1M [00:58<00:57, 437kB/s]
51%|ââââââââââââââââââââ | 26.0M/51.1M [00:58<00:57, 437kB/s]
51%|ââââââââââââââââââââ | 26.0M/51.1M [00:58<00:57, 439kB/s]
51%|ââââââââââââââââââââ | 26.1M/51.1M [00:59<00:56, 445kB/s]
51%|ââââââââââââââââââââ | 26.1M/51.1M [00:59<00:56, 439kB/s]
51%|ââââââââââââââââââââ | 26.1M/51.1M [00:59<00:55, 453kB/s]
51%|ââââââââââââââââââââ | 26.2M/51.1M [00:59<00:55, 452kB/s]
51%|ââââââââââââââââââââ | 26.2M/51.1M [00:59<00:55, 452kB/s]
51%|ââââââââââââââââââââ | 26.3M/51.1M [00:59<00:59, 418kB/s]
52%|ââââââââââââââââââââ | 26.3M/51.1M [00:59<00:58, 424kB/s]
52%|ââââââââââââââââââââ | 26.4M/51.1M [00:59<00:57, 430kB/s]
52%|ââââââââââââââââââââ | 26.4M/51.1M [01:00<00:59, 416kB/s]
52%|ââââââââââââââââââââ | 26.5M/51.1M [01:00<00:55, 443kB/s]
52%|ââââââââââââââââââââ | 26.6M/51.1M [01:00<00:53, 457kB/s]
52%|ââââââââââââââââââââ | 26.6M/51.1M [01:00<00:53, 461kB/s]
52%|ââââââââââââââââââââ | 26.7M/51.1M [01:00<00:52, 464kB/s]
52%|ââââââââââââââââââââ | 26.7M/51.1M [01:00<00:53, 456kB/s]
52%|ââââââââââââââââââââ | 26.8M/51.1M [01:00<00:53, 455kB/s]
52%|ââââââââââââââââââââ | 26.8M/51.1M [01:00<00:53, 454kB/s]
53%|ââââââââââââââââââââ | 26.9M/51.1M [01:00<00:55, 435kB/s]
53%|ââââââââââââââââââââ | 26.9M/51.1M [01:01<00:58, 417kB/s]
53%|ââââââââââââââââââââ | 27.0M/51.1M [01:01<00:56, 424kB/s]
53%|ââââââââââââââââââââ | 27.0M/51.1M [01:01<00:55, 433kB/s]
53%|ââââââââââââââââââââ | 27.1M/51.1M [01:01<00:56, 424kB/s]
53%|âââââââââââââââââââââ | 27.1M/51.1M [01:01<00:54, 440kB/s]
53%|âââââââââââââââââââââ | 27.2M/51.1M [01:01<00:53, 449kB/s]
53%|âââââââââââââââââââââ | 27.2M/51.1M [01:01<00:52, 452kB/s]
53%|âââââââââââââââââââââ | 27.3M/51.1M [01:01<00:57, 414kB/s]
53%|âââââââââââââââââââââ | 27.3M/51.1M [01:01<00:55, 432kB/s]
54%|âââââââââââââââââââââ | 27.4M/51.1M [01:02<00:56, 421kB/s]
54%|âââââââââââââââââââââ | 27.4M/51.1M [01:02<00:56, 418kB/s]
54%|âââââââââââââââââââââ | 27.5M/51.1M [01:02<00:55, 429kB/s]
54%|âââââââââââââââââââââ | 27.5M/51.1M [01:02<00:53, 442kB/s]
54%|âââââââââââââââââââââ | 27.6M/51.1M [01:02<00:52, 447kB/s]
54%|âââââââââââââââââââââ | 27.6M/51.1M [01:02<00:52, 449kB/s]
54%|âââââââââââââââââââââ | 27.7M/51.1M [01:02<00:52, 449kB/s]
54%|âââââââââââââââââââââ | 27.7M/51.1M [01:02<00:51, 454kB/s]
54%|âââââââââââââââââââââ | 27.8M/51.1M [01:02<00:51, 454kB/s]
54%|âââââââââââââââââââââ | 27.8M/51.1M [01:03<00:53, 439kB/s]
55%|âââââââââââââââââââââ | 27.9M/51.1M [01:03<00:50, 462kB/s]
55%|âââââââââââââââââââââ | 27.9M/51.1M [01:03<00:49, 465kB/s]
55%|âââââââââââââââââââââ | 28.0M/51.1M [01:03<00:50, 462kB/s]
55%|âââââââââââââââââââââ | 28.0M/51.1M [01:03<00:50, 458kB/s]
55%|âââââââââââââââââââââ | 28.1M/51.1M [01:03<00:51, 449kB/s]
55%|âââââââââââââââââââââ | 28.1M/51.1M [01:03<00:50, 452kB/s]
55%|âââââââââââââââââââââ | 28.2M/51.1M [01:03<00:54, 425kB/s]
55%|âââââââââââââââââââââ | 28.2M/51.1M [01:04<00:52, 437kB/s]
55%|âââââââââââââââââââââ | 28.3M/51.1M [01:04<00:48, 471kB/s]
55%|âââââââââââââââââââââ | 28.3M/51.1M [01:04<00:48, 470kB/s]
56%|âââââââââââââââââââââ | 28.4M/51.1M [01:04<00:48, 470kB/s]
56%|ââââââââââââââââââââââ | 28.4M/51.1M [01:04<00:47, 473kB/s]
56%|ââââââââââââââââââââââ | 28.5M/51.1M [01:04<00:48, 464kB/s]
56%|ââââââââââââââââââââââ | 28.5M/51.1M [01:04<00:49, 458kB/s]
56%|ââââââââââââââââââââââ | 28.6M/51.1M [01:04<00:50, 450kB/s]
56%|ââââââââââââââââââââââ | 28.6M/51.1M [01:04<00:50, 446kB/s]
56%|ââââââââââââââââââââââ | 28.7M/51.1M [01:05<00:47, 471kB/s]
56%|ââââââââââââââââââââââ | 28.8M/51.1M [01:05<00:48, 459kB/s]
56%|ââââââââââââââââââââââ | 28.8M/51.1M [01:05<00:48, 458kB/s]
56%|ââââââââââââââââââââââ | 28.9M/51.1M [01:05<00:49, 453kB/s]
57%|ââââââââââââââââââââââ | 28.9M/51.1M [01:05<00:52, 422kB/s]
57%|ââââââââââââââââââââââ | 29.0M/51.1M [01:05<00:52, 423kB/s]
57%|ââââââââââââââââââââââ | 29.0M/51.1M [01:05<00:53, 414kB/s]
57%|ââââââââââââââââââââââ | 29.1M/51.1M [01:05<00:47, 463kB/s]
57%|ââââââââââââââââââââââ | 29.1M/51.1M [01:05<00:47, 463kB/s]
57%|ââââââââââââââââââââââ | 29.2M/51.1M [01:06<00:46, 468kB/s]
57%|ââââââââââââââââââââââ | 29.2M/51.1M [01:06<00:47, 462kB/s]
57%|ââââââââââââââââââââââ | 29.3M/51.1M [01:06<00:48, 454kB/s]
57%|ââââââââââââââââââââââ | 29.3M/51.1M [01:06<00:47, 459kB/s]
57%|ââââââââââââââââââââââ | 29.4M/51.1M [01:06<00:47, 453kB/s]
58%|ââââââââââââââââââââââ | 29.4M/51.1M [01:06<00:46, 463kB/s]
58%|ââââââââââââââââââââââ | 29.5M/51.1M [01:06<00:46, 464kB/s]
58%|ââââââââââââââââââââââ | 29.5M/51.1M [01:06<00:47, 453kB/s]
58%|ââââââââââââââââââââââ | 29.6M/51.1M [01:06<00:46, 462kB/s]
58%|ââââââââââââââââââââââ | 29.6M/51.1M [01:07<00:46, 457kB/s]
58%|ââââââââââââââââââââââ | 29.7M/51.1M [01:07<00:44, 479kB/s]
58%|ââââââââââââââââââââââ | 29.7M/51.1M [01:07<00:46, 455kB/s]
58%|âââââââââââââââââââââââ | 29.8M/51.1M [01:07<00:48, 441kB/s]
58%|âââââââââââââââââââââââ | 29.8M/51.1M [01:07<00:50, 425kB/s]
58%|âââââââââââââââââââââââ | 29.9M/51.1M [01:07<00:50, 422kB/s]
59%|âââââââââââââââââââââââ | 29.9M/51.1M [01:07<00:49, 426kB/s]
59%|âââââââââââââââââââââââ | 30.0M/51.1M [01:07<00:49, 427kB/s]
59%|âââââââââââââââââââââââ | 30.0M/51.1M [01:08<00:46, 455kB/s]
59%|âââââââââââââââââââââââ | 30.1M/51.1M [01:08<00:46, 456kB/s]
59%|âââââââââââââââââââââââ | 30.1M/51.1M [01:08<00:46, 456kB/s]
59%|âââââââââââââââââââââââ | 30.2M/51.1M [01:08<00:46, 453kB/s]
59%|âââââââââââââââââââââââ | 30.2M/51.1M [01:08<00:45, 456kB/s]
59%|âââââââââââââââââââââââ | 30.3M/51.1M [01:08<00:45, 462kB/s]
59%|âââââââââââââââââââââââ | 30.3M/51.1M [01:08<00:48, 428kB/s]
59%|âââââââââââââââââââââââ | 30.4M/51.1M [01:08<00:44, 468kB/s]
60%|âââââââââââââââââââââââ | 30.5M/51.1M [01:08<00:44, 462kB/s]
60%|âââââââââââââââââââââââ | 30.5M/51.1M [01:09<00:44, 467kB/s]
60%|âââââââââââââââââââââââ | 30.6M/51.1M [01:09<00:44, 467kB/s]
60%|âââââââââââââââââââââââ | 30.6M/51.1M [01:09<00:44, 466kB/s]
60%|âââââââââââââââââââââââ | 30.7M/51.1M [01:09<00:43, 469kB/s]
60%|âââââââââââââââââââââââ | 30.7M/51.1M [01:09<00:43, 464kB/s]
60%|âââââââââââââââââââââââ | 30.8M/51.1M [01:09<00:48, 421kB/s]
60%|âââââââââââââââââââââââ | 30.8M/51.1M [01:09<00:42, 475kB/s]
60%|âââââââââââââââââââââââ | 30.9M/51.1M [01:09<00:43, 468kB/s]
60%|âââââââââââââââââââââââ | 30.9M/51.1M [01:09<00:42, 470kB/s]
61%|âââââââââââââââââââââââ | 31.0M/51.1M [01:10<00:43, 461kB/s]
61%|âââââââââââââââââââââââ | 31.0M/51.1M [01:10<00:47, 427kB/s]
61%|âââââââââââââââââââââââ | 31.1M/51.1M [01:10<00:46, 432kB/s]
61%|ââââââââââââââââââââââââ | 31.1M/51.1M [01:10<00:45, 442kB/s]
61%|ââââââââââââââââââââââââ | 31.2M/51.1M [01:10<00:47, 420kB/s]
61%|ââââââââââââââââââââââââ | 31.2M/51.1M [01:10<00:45, 433kB/s]
61%|ââââââââââââââââââââââââ | 31.3M/51.1M [01:10<00:48, 408kB/s]
61%|ââââââââââââââââââââââââ | 31.3M/51.1M [01:10<00:48, 405kB/s]
61%|ââââââââââââââââââââââââ | 31.4M/51.1M [01:11<00:49, 400kB/s]
62%|ââââââââââââââââââââââââ | 31.5M/51.1M [01:11<00:43, 447kB/s]
62%|ââââââââââââââââââââââââ | 31.5M/51.1M [01:11<00:45, 428kB/s]
62%|ââââââââââââââââââââââââ | 31.6M/51.1M [01:11<00:42, 465kB/s]
62%|ââââââââââââââââââââââââ | 31.6M/51.1M [01:11<00:42, 461kB/s]
62%|ââââââââââââââââââââââââ | 31.7M/51.1M [01:11<00:40, 476kB/s]
62%|ââââââââââââââââââââââââ | 31.7M/51.1M [01:11<00:40, 477kB/s]
62%|ââââââââââââââââââââââââ | 31.8M/51.1M [01:11<00:40, 477kB/s]
62%|ââââââââââââââââââââââââ | 31.8M/51.1M [01:11<00:40, 480kB/s]
62%|ââââââââââââââââââââââââ | 31.9M/51.1M [01:12<00:39, 491kB/s]
63%|ââââââââââââââââââââââââ | 31.9M/51.1M [01:12<00:39, 490kB/s]
63%|ââââââââââââââââââââââââ | 32.0M/51.1M [01:12<00:39, 483kB/s]
63%|ââââââââââââââââââââââââ | 32.0M/51.1M [01:12<00:39, 478kB/s]
63%|ââââââââââââââââââââââââ | 32.1M/51.1M [01:12<00:39, 476kB/s]
63%|ââââââââââââââââââââââââ | 32.1M/51.1M [01:12<00:40, 467kB/s]
63%|ââââââââââââââââââââââââ | 32.2M/51.1M [01:12<00:40, 469kB/s]
63%|ââââââââââââââââââââââââ | 32.2M/51.1M [01:12<00:40, 463kB/s]
63%|ââââââââââââââââââââââââ | 32.3M/51.1M [01:12<00:38, 484kB/s]
63%|ââââââââââââââââââââââââ | 32.4M/51.1M [01:13<00:38, 486kB/s]
63%|ââââââââââââââââââââââââ | 32.4M/51.1M [01:13<00:38, 486kB/s]
64%|âââââââââââââââââââââââââ | 32.5M/51.1M [01:13<00:38, 485kB/s]
64%|âââââââââââââââââââââââââ | 32.5M/51.1M [01:13<00:39, 476kB/s]
64%|âââââââââââââââââââââââââ | 32.6M/51.1M [01:13<00:39, 466kB/s]
64%|âââââââââââââââââââââââââ | 32.6M/51.1M [01:13<00:37, 491kB/s]
64%|âââââââââââââââââââââââââ | 32.7M/51.1M [01:13<00:38, 479kB/s]
64%|âââââââââââââââââââââââââ | 32.7M/51.1M [01:13<00:36, 505kB/s]
64%|âââââââââââââââââââââââââ | 32.8M/51.1M [01:13<00:36, 496kB/s]
64%|âââââââââââââââââââââââââ | 32.8M/51.1M [01:14<00:37, 490kB/s]
64%|âââââââââââââââââââââââââ | 32.9M/51.1M [01:14<00:37, 482kB/s]
64%|âââââââââââââââââââââââââ | 32.9M/51.1M [01:14<00:38, 473kB/s]
65%|âââââââââââââââââââââââââ | 33.0M/51.1M [01:14<00:38, 473kB/s]
65%|âââââââââââââââââââââââââ | 33.0M/51.1M [01:14<00:38, 468kB/s]
65%|âââââââââââââââââââââââââ | 33.1M/51.1M [01:14<00:38, 468kB/s]
65%|âââââââââââââââââââââââââ | 33.1M/51.1M [01:14<00:39, 459kB/s]
65%|âââââââââââââââââââââââââ | 33.2M/51.1M [01:14<00:38, 464kB/s]
65%|âââââââââââââââââââââââââ | 33.2M/51.1M [01:14<00:38, 470kB/s]
65%|âââââââââââââââââââââââââ | 33.3M/51.1M [01:15<00:40, 444kB/s]
65%|âââââââââââââââââââââââââ | 33.4M/51.1M [01:15<00:38, 467kB/s]
65%|âââââââââââââââââââââââââ | 33.4M/51.1M [01:15<00:38, 463kB/s]
65%|âââââââââââââââââââââââââ | 33.5M/51.1M [01:15<00:36, 478kB/s]
66%|âââââââââââââââââââââââââ | 33.5M/51.1M [01:15<00:37, 470kB/s]
66%|âââââââââââââââââââââââââ | 33.6M/51.1M [01:15<00:37, 473kB/s]
66%|âââââââââââââââââââââââââ | 33.6M/51.1M [01:15<00:37, 473kB/s]
66%|âââââââââââââââââââââââââ | 33.7M/51.1M [01:15<00:37, 468kB/s]
66%|âââââââââââââââââââââââââ | 33.7M/51.1M [01:15<00:39, 442kB/s]
66%|âââââââââââââââââââââââââ | 33.8M/51.1M [01:16<00:36, 472kB/s]
66%|ââââââââââââââââââââââââââ | 33.8M/51.1M [01:16<00:37, 466kB/s]
66%|ââââââââââââââââââââââââââ | 33.9M/51.1M [01:16<00:38, 445kB/s]
66%|ââââââââââââââââââââââââââ | 34.0M/51.1M [01:16<00:36, 469kB/s]
67%|ââââââââââââââââââââââââââ | 34.0M/51.1M [01:16<00:36, 465kB/s]
67%|ââââââââââââââââââââââââââ | 34.1M/51.1M [01:16<00:36, 466kB/s]
67%|ââââââââââââââââââââââââââ | 34.1M/51.1M [01:16<00:36, 470kB/s]
67%|ââââââââââââââââââââââââââ | 34.2M/51.1M [01:16<00:36, 463kB/s]
67%|ââââââââââââââââââââââââââ | 34.2M/51.1M [01:17<00:36, 467kB/s]
67%|ââââââââââââââââââââââââââ | 34.3M/51.1M [01:17<00:36, 459kB/s]
67%|ââââââââââââââââââââââââââ | 34.3M/51.1M [01:17<00:36, 456kB/s]
67%|ââââââââââââââââââââââââââ | 34.4M/51.1M [01:17<00:36, 456kB/s]
67%|ââââââââââââââââââââââââââ | 34.4M/51.1M [01:17<00:38, 439kB/s]
67%|ââââââââââââââââââââââââââ | 34.5M/51.1M [01:17<00:39, 419kB/s]
68%|ââââââââââââââââââââââââââ | 34.5M/51.1M [01:17<00:37, 438kB/s]
68%|ââââââââââââââââââââââââââ | 34.6M/51.1M [01:17<00:38, 425kB/s]
68%|ââââââââââââââââââââââââââ | 34.6M/51.1M [01:17<00:36, 455kB/s]
68%|ââââââââââââââââââââââââââ | 34.7M/51.1M [01:18<00:38, 425kB/s]
68%|ââââââââââââââââââââââââââ | 34.7M/51.1M [01:18<00:38, 428kB/s]
68%|ââââââââââââââââââââââââââ | 34.8M/51.1M [01:18<00:38, 425kB/s]
68%|ââââââââââââââââââââââââââ | 34.8M/51.1M [01:18<00:37, 437kB/s]
68%|ââââââââââââââââââââââââââ | 34.9M/51.1M [01:18<00:36, 443kB/s]
68%|ââââââââââââââââââââââââââ | 34.9M/51.1M [01:18<00:36, 449kB/s]
68%|ââââââââââââââââââââââââââ | 35.0M/51.1M [01:18<00:35, 452kB/s]
69%|ââââââââââââââââââââââââââ | 35.0M/51.1M [01:18<00:35, 460kB/s]
69%|ââââââââââââââââââââââââââ | 35.1M/51.1M [01:18<00:34, 468kB/s]
69%|ââââââââââââââââââââââââââ | 35.1M/51.1M [01:19<00:34, 467kB/s]
69%|âââââââââââââââââââââââââââ | 35.2M/51.1M [01:19<00:33, 472kB/s]
69%|âââââââââââââââââââââââââââ | 35.2M/51.1M [01:19<00:33, 476kB/s]
69%|âââââââââââââââââââââââââââ | 35.3M/51.1M [01:19<00:33, 476kB/s]
69%|âââââââââââââââââââââââââââ | 35.3M/51.1M [01:19<00:33, 467kB/s]
69%|âââââââââââââââââââââââââââ | 35.4M/51.1M [01:19<00:33, 472kB/s]
69%|âââââââââââââââââââââââââââ | 35.4M/51.1M [01:19<00:33, 464kB/s]
69%|âââââââââââââââââââââââââââ | 35.5M/51.1M [01:19<00:37, 422kB/s]
69%|âââââââââââââââââââââââââââ | 35.5M/51.1M [01:19<00:38, 405kB/s]
70%|âââââââââââââââââââââââââââ | 35.6M/51.1M [01:20<00:35, 444kB/s]
70%|âââââââââââââââââââââââââââ | 35.6M/51.1M [01:20<00:34, 453kB/s]
70%|âââââââââââââââââââââââââââ | 35.7M/51.1M [01:20<00:33, 454kB/s]
70%|âââââââââââââââââââââââââââ | 35.7M/51.1M [01:20<00:35, 431kB/s]
70%|âââââââââââââââââââââââââââ | 35.8M/51.1M [01:20<00:35, 434kB/s]
70%|âââââââââââââââââââââââââââ | 35.8M/51.1M [01:20<00:35, 437kB/s]
70%|âââââââââââââââââââââââââââ | 35.9M/51.1M [01:20<00:34, 448kB/s]
70%|âââââââââââââââââââââââââââ | 35.9M/51.1M [01:20<00:36, 420kB/s]
70%|âââââââââââââââââââââââââââ | 36.0M/51.1M [01:20<00:32, 469kB/s]
71%|âââââââââââââââââââââââââââ | 36.0M/51.1M [01:21<00:31, 472kB/s]
71%|âââââââââââââââââââââââââââ | 36.1M/51.1M [01:21<00:31, 472kB/s]
71%|âââââââââââââââââââââââââââ | 36.1M/51.1M [01:21<00:32, 468kB/s]
71%|âââââââââââââââââââââââââââ | 36.2M/51.1M [01:21<00:32, 465kB/s]
71%|âââââââââââââââââââââââââââ | 36.3M/51.1M [01:21<00:31, 477kB/s]
71%|âââââââââââââââââââââââââââ | 36.3M/51.1M [01:21<00:31, 474kB/s]
71%|âââââââââââââââââââââââââââ | 36.4M/51.1M [01:21<00:31, 473kB/s]
71%|âââââââââââââââââââââââââââ | 36.4M/51.1M [01:21<00:31, 461kB/s]
71%|âââââââââââââââââââââââââââ | 36.5M/51.1M [01:21<00:31, 463kB/s]
71%|ââââââââââââââââââââââââââââ | 36.5M/51.1M [01:22<00:31, 462kB/s]
72%|ââââââââââââââââââââââââââââ | 36.6M/51.1M [01:22<00:31, 456kB/s]
72%|ââââââââââââââââââââââââââââ | 36.6M/51.1M [01:22<00:30, 481kB/s]
72%|ââââââââââââââââââââââââââââ | 36.7M/51.1M [01:22<00:30, 480kB/s]
72%|ââââââââââââââââââââââââââââ | 36.7M/51.1M [01:22<00:30, 471kB/s]
72%|ââââââââââââââââââââââââââââ | 36.8M/51.1M [01:22<00:30, 469kB/s]
72%|ââââââââââââââââââââââââââââ | 36.8M/51.1M [01:22<00:29, 479kB/s]
72%|ââââââââââââââââââââââââââââ | 36.9M/51.1M [01:22<00:31, 448kB/s]
72%|ââââââââââââââââââââââââââââ | 36.9M/51.1M [01:23<00:29, 481kB/s]
72%|ââââââââââââââââââââââââââââ | 37.0M/51.1M [01:23<00:29, 476kB/s]
72%|ââââââââââââââââââââââââââââ | 37.0M/51.1M [01:23<00:29, 475kB/s]
73%|ââââââââââââââââââââââââââââ | 37.1M/51.1M [01:23<00:29, 472kB/s]
73%|ââââââââââââââââââââââââââââ | 37.2M/51.1M [01:23<00:27, 500kB/s]
73%|ââââââââââââââââââââââââââââ | 37.2M/51.1M [01:23<00:28, 496kB/s]
73%|ââââââââââââââââââââââââââââ | 37.3M/51.1M [01:23<00:28, 493kB/s]
73%|ââââââââââââââââââââââââââââ | 37.3M/51.1M [01:23<00:28, 477kB/s]
73%|ââââââââââââââââââââââââââââ | 37.4M/51.1M [01:23<00:29, 474kB/s]
73%|ââââââââââââââââââââââââââââ | 37.4M/51.1M [01:23<00:29, 463kB/s]
73%|ââââââââââââââââââââââââââââ | 37.5M/51.1M [01:24<00:30, 449kB/s]
73%|ââââââââââââââââââââââââââââ | 37.5M/51.1M [01:24<00:29, 456kB/s]
73%|ââââââââââââââââââââââââââââ | 37.6M/51.1M [01:24<00:29, 457kB/s]
74%|ââââââââââââââââââââââââââââ | 37.6M/51.1M [01:24<00:29, 460kB/s]
74%|ââââââââââââââââââââââââââââ | 37.7M/51.1M [01:24<00:29, 455kB/s]
74%|ââââââââââââââââââââââââââââ | 37.7M/51.1M [01:24<00:29, 459kB/s]
74%|ââââââââââââââââââââââââââââ | 37.7M/51.1M [01:24<00:29, 460kB/s]
74%|ââââââââââââââââââââââââââââ | 37.8M/51.1M [01:24<00:28, 464kB/s]
74%|âââââââââââââââââââââââââââââ | 37.9M/51.1M [01:24<00:28, 471kB/s]
74%|âââââââââââââââââââââââââââââ | 37.9M/51.1M [01:25<00:28, 468kB/s]
74%|âââââââââââââââââââââââââââââ | 38.0M/51.1M [01:25<00:29, 439kB/s]
74%|âââââââââââââââââââââââââââââ | 38.0M/51.1M [01:25<00:29, 438kB/s]
74%|âââââââââââââââââââââââââââââ | 38.1M/51.1M [01:25<00:29, 440kB/s]
75%|âââââââââââââââââââââââââââââ | 38.1M/51.1M [01:25<00:31, 406kB/s]
75%|âââââââââââââââââââââââââââââ | 38.2M/51.1M [01:25<00:31, 411kB/s]
75%|âââââââââââââââââââââââââââââ | 38.2M/51.1M [01:25<00:31, 408kB/s]
75%|âââââââââââââââââââââââââââââ | 38.3M/51.1M [01:25<00:31, 404kB/s]
75%|âââââââââââââââââââââââââââââ | 38.3M/51.1M [01:26<00:28, 446kB/s]
75%|âââââââââââââââââââââââââââââ | 38.4M/51.1M [01:26<00:27, 456kB/s]
75%|âââââââââââââââââââââââââââââ | 38.4M/51.1M [01:26<00:27, 462kB/s]
75%|âââââââââââââââââââââââââââââ | 38.5M/51.1M [01:26<00:27, 463kB/s]
75%|âââââââââââââââââââââââââââââ | 38.5M/51.1M [01:26<00:27, 463kB/s]
75%|âââââââââââââââââââââââââââââ | 38.6M/51.1M [01:26<00:26, 466kB/s]
76%|âââââââââââââââââââââââââââââ | 38.6M/51.1M [01:26<00:26, 470kB/s]
76%|âââââââââââââââââââââââââââââ | 38.7M/51.1M [01:26<00:27, 448kB/s]
76%|âââââââââââââââââââââââââââââ | 38.7M/51.1M [01:26<00:26, 470kB/s]
76%|âââââââââââââââââââââââââââââ | 38.8M/51.1M [01:27<00:26, 469kB/s]
76%|âââââââââââââââââââââââââââââ | 38.8M/51.1M [01:27<00:26, 466kB/s]
76%|âââââââââââââââââââââââââââââ | 38.9M/51.1M [01:27<00:25, 472kB/s]
76%|âââââââââââââââââââââââââââââ | 38.9M/51.1M [01:27<00:25, 476kB/s]
76%|âââââââââââââââââââââââââââââ | 39.0M/51.1M [01:27<00:26, 466kB/s]
76%|âââââââââââââââââââââââââââââ | 39.0M/51.1M [01:27<00:26, 462kB/s]
76%|âââââââââââââââââââââââââââââ | 39.1M/51.1M [01:27<00:27, 436kB/s]
77%|âââââââââââââââââââââââââââââ | 39.2M/51.1M [01:27<00:24, 480kB/s]
77%|ââââââââââââââââââââââââââââââ | 39.2M/51.1M [01:27<00:24, 478kB/s]
77%|ââââââââââââââââââââââââââââââ | 39.3M/51.1M [01:28<00:24, 477kB/s]
77%|ââââââââââââââââââââââââââââââ | 39.3M/51.1M [01:28<00:25, 471kB/s]
77%|ââââââââââââââââââââââââââââââ | 39.4M/51.1M [01:28<00:25, 467kB/s]
77%|ââââââââââââââââââââââââââââââ | 39.4M/51.1M [01:28<00:25, 468kB/s]
77%|ââââââââââââââââââââââââââââââ | 39.5M/51.1M [01:28<00:24, 468kB/s]
77%|ââââââââââââââââââââââââââââââ | 39.5M/51.1M [01:28<00:24, 464kB/s]
77%|ââââââââââââââââââââââââââââââ | 39.6M/51.1M [01:28<00:24, 473kB/s]
78%|ââââââââââââââââââââââââââââââ | 39.6M/51.1M [01:28<00:24, 469kB/s]
78%|ââââââââââââââââââââââââââââââ | 39.7M/51.1M [01:28<00:24, 474kB/s]
78%|ââââââââââââââââââââââââââââââ | 39.7M/51.1M [01:29<00:24, 468kB/s]
78%|ââââââââââââââââââââââââââââââ | 39.8M/51.1M [01:29<00:24, 467kB/s]
78%|ââââââââââââââââââââââââââââââ | 39.8M/51.1M [01:29<00:23, 483kB/s]
78%|ââââââââââââââââââââââââââââââ | 39.9M/51.1M [01:29<00:22, 488kB/s]
78%|ââââââââââââââââââââââââââââââ | 39.9M/51.1M [01:29<00:22, 486kB/s]
78%|ââââââââââââââââââââââââââââââ | 40.0M/51.1M [01:29<00:22, 486kB/s]
78%|ââââââââââââââââââââââââââââââ | 40.1M/51.1M [01:29<00:23, 475kB/s]
79%|ââââââââââââââââââââââââââââââ | 40.1M/51.1M [01:29<00:22, 495kB/s]
79%|ââââââââââââââââââââââââââââââ | 40.2M/51.1M [01:29<00:22, 493kB/s]
79%|ââââââââââââââââââââââââââââââ | 40.2M/51.1M [01:30<00:22, 490kB/s]
79%|ââââââââââââââââââââââââââââââ | 40.3M/51.1M [01:30<00:22, 475kB/s]
79%|ââââââââââââââââââââââââââââââ | 40.3M/51.1M [01:30<00:23, 450kB/s]
79%|ââââââââââââââââââââââââââââââ | 40.4M/51.1M [01:30<00:22, 481kB/s]
79%|ââââââââââââââââââââââââââââââ | 40.4M/51.1M [01:30<00:22, 470kB/s]
79%|ââââââââââââââââââââââââââââââ | 40.5M/51.1M [01:30<00:22, 475kB/s]
79%|âââââââââââââââââââââââââââââââ | 40.6M/51.1M [01:30<00:21, 487kB/s]
79%|âââââââââââââââââââââââââââââââ | 40.6M/51.1M [01:30<00:21, 482kB/s]
80%|âââââââââââââââââââââââââââââââ | 40.6M/51.1M [01:30<00:21, 479kB/s]
80%|âââââââââââââââââââââââââââââââ | 40.7M/51.1M [01:31<00:21, 488kB/s]
80%|âââââââââââââââââââââââââââââââ | 40.8M/51.1M [01:31<00:20, 493kB/s]
80%|âââââââââââââââââââââââââââââââ | 40.8M/51.1M [01:31<00:22, 465kB/s]
80%|âââââââââââââââââââââââââââââââ | 40.9M/51.1M [01:31<00:20, 501kB/s]
80%|âââââââââââââââââââââââââââââââ | 40.9M/51.1M [01:31<00:20, 503kB/s]
80%|âââââââââââââââââââââââââââââââ | 41.0M/51.1M [01:31<00:19, 525kB/s]
80%|âââââââââââââââââââââââââââââââ | 41.1M/51.1M [01:31<00:19, 525kB/s]
80%|âââââââââââââââââââââââââââââââ | 41.1M/51.1M [01:31<00:21, 469kB/s]
81%|âââââââââââââââââââââââââââââââ | 41.2M/51.1M [01:32<00:21, 468kB/s]
81%|âââââââââââââââââââââââââââââââ | 41.2M/51.1M [01:32<00:21, 468kB/s]
81%|âââââââââââââââââââââââââââââââ | 41.3M/51.1M [01:32<00:20, 479kB/s]
81%|âââââââââââââââââââââââââââââââ | 41.3M/51.1M [01:32<00:20, 475kB/s]
81%|âââââââââââââââââââââââââââââââ | 41.4M/51.1M [01:32<00:20, 473kB/s]
81%|âââââââââââââââââââââââââââââââ | 41.4M/51.1M [01:32<00:20, 475kB/s]
81%|âââââââââââââââââââââââââââââââ | 41.5M/51.1M [01:32<00:19, 487kB/s]
81%|âââââââââââââââââââââââââââââââ | 41.5M/51.1M [01:32<00:19, 493kB/s]
81%|âââââââââââââââââââââââââââââââ | 41.6M/51.1M [01:32<00:19, 495kB/s]
81%|âââââââââââââââââââââââââââââââ | 41.7M/51.1M [01:33<00:19, 496kB/s]
82%|âââââââââââââââââââââââââââââââ | 41.7M/51.1M [01:33<00:19, 492kB/s]
82%|âââââââââââââââââââââââââââââââ | 41.8M/51.1M [01:33<00:20, 463kB/s]
82%|âââââââââââââââââââââââââââââââ | 41.8M/51.1M [01:33<00:19, 488kB/s]
82%|ââââââââââââââââââââââââââââââââ | 41.9M/51.1M [01:33<00:19, 483kB/s]
82%|ââââââââââââââââââââââââââââââââ | 41.9M/51.1M [01:33<00:19, 478kB/s]
82%|ââââââââââââââââââââââââââââââââ | 42.0M/51.1M [01:33<00:18, 484kB/s]
82%|ââââââââââââââââââââââââââââââââ | 42.1M/51.1M [01:33<00:18, 490kB/s]
82%|ââââââââââââââââââââââââââââââââ | 42.1M/51.1M [01:34<00:18, 474kB/s]
83%|ââââââââââââââââââââââââââââââââ | 42.2M/51.1M [01:34<00:18, 489kB/s]
83%|ââââââââââââââââââââââââââââââââ | 42.2M/51.1M [01:34<00:19, 453kB/s]
83%|ââââââââââââââââââââââââââââââââ | 42.3M/51.1M [01:34<00:17, 497kB/s]
83%|ââââââââââââââââââââââââââââââââ | 42.4M/51.1M [01:34<00:17, 490kB/s]
83%|ââââââââââââââââââââââââââââââââ | 42.4M/51.1M [01:34<00:17, 486kB/s]
83%|ââââââââââââââââââââââââââââââââ | 42.5M/51.1M [01:34<00:18, 463kB/s]
83%|ââââââââââââââââââââââââââââââââ | 42.5M/51.1M [01:34<00:18, 468kB/s]
83%|ââââââââââââââââââââââââââââââââ | 42.6M/51.1M [01:34<00:18, 471kB/s]
83%|ââââââââââââââââââââââââââââââââ | 42.6M/51.1M [01:35<00:16, 518kB/s]
84%|ââââââââââââââââââââââââââââââââ | 42.7M/51.1M [01:35<00:17, 482kB/s]
84%|ââââââââââââââââââââââââââââââââ | 42.7M/51.1M [01:35<00:17, 480kB/s]
84%|ââââââââââââââââââââââââââââââââ | 42.8M/51.1M [01:35<00:17, 481kB/s]
84%|ââââââââââââââââââââââââââââââââ | 42.8M/51.1M [01:35<00:17, 479kB/s]
84%|ââââââââââââââââââââââââââââââââ | 42.9M/51.1M [01:35<00:17, 475kB/s]
84%|ââââââââââââââââââââââââââââââââ | 42.9M/51.1M [01:35<00:17, 468kB/s]
84%|ââââââââââââââââââââââââââââââââ | 43.0M/51.1M [01:35<00:17, 464kB/s]
84%|ââââââââââââââââââââââââââââââââ | 43.0M/51.1M [01:35<00:17, 457kB/s]
84%|ââââââââââââââââââââââââââââââââ | 43.1M/51.1M [01:36<00:17, 461kB/s]
84%|ââââââââââââââââââââââââââââââââ | 43.2M/51.1M [01:36<00:16, 478kB/s]
85%|âââââââââââââââââââââââââââââââââ | 43.2M/51.1M [01:36<00:16, 473kB/s]
85%|âââââââââââââââââââââââââââââââââ | 43.3M/51.1M [01:36<00:16, 485kB/s]
85%|âââââââââââââââââââââââââââââââââ | 43.4M/51.1M [01:36<00:15, 494kB/s]
85%|âââââââââââââââââââââââââââââââââ | 43.4M/51.1M [01:36<00:15, 491kB/s]
85%|âââââââââââââââââââââââââââââââââ | 43.5M/51.1M [01:36<00:16, 464kB/s]
85%|âââââââââââââââââââââââââââââââââ | 43.5M/51.1M [01:36<00:16, 456kB/s]
85%|âââââââââââââââââââââââââââââââââ | 43.5M/51.1M [01:37<00:16, 454kB/s]
85%|âââââââââââââââââââââââââââââââââ | 43.6M/51.1M [01:37<00:16, 454kB/s]
85%|âââââââââââââââââââââââââââââââââ | 43.7M/51.1M [01:37<00:15, 472kB/s]
86%|âââââââââââââââââââââââââââââââââ | 43.7M/51.1M [01:37<00:16, 455kB/s]
86%|âââââââââââââââââââââââââââââââââ | 43.8M/51.1M [01:37<00:14, 489kB/s]
86%|âââââââââââââââââââââââââââââââââ | 43.8M/51.1M [01:37<00:15, 485kB/s]
86%|âââââââââââââââââââââââââââââââââ | 43.9M/51.1M [01:37<00:14, 483kB/s]
86%|âââââââââââââââââââââââââââââââââ | 43.9M/51.1M [01:37<00:14, 483kB/s]
86%|âââââââââââââââââââââââââââââââââ | 44.0M/51.1M [01:37<00:16, 442kB/s]
86%|âââââââââââââââââââââââââââââââââ | 44.1M/51.1M [01:38<00:14, 486kB/s]
86%|âââââââââââââââââââââââââââââââââ | 44.1M/51.1M [01:38<00:14, 476kB/s]
86%|âââââââââââââââââââââââââââââââââ | 44.2M/51.1M [01:38<00:15, 444kB/s]
86%|âââââââââââââââââââââââââââââââââ | 44.2M/51.1M [01:38<00:16, 431kB/s]
87%|âââââââââââââââââââââââââââââââââ | 44.3M/51.1M [01:38<00:15, 451kB/s]
87%|âââââââââââââââââââââââââââââââââ | 44.3M/51.1M [01:38<00:14, 467kB/s]
87%|âââââââââââââââââââââââââââââââââ | 44.4M/51.1M [01:38<00:13, 481kB/s]
87%|âââââââââââââââââââââââââââââââââ | 44.4M/51.1M [01:38<00:14, 469kB/s]
87%|âââââââââââââââââââââââââââââââââ | 44.5M/51.1M [01:39<00:14, 464kB/s]
87%|âââââââââââââââââââââââââââââââââ | 44.5M/51.1M [01:39<00:15, 437kB/s]
87%|ââââââââââââââââââââââââââââââââââ | 44.6M/51.1M [01:39<00:14, 461kB/s]
87%|ââââââââââââââââââââââââââââââââââ | 44.6M/51.1M [01:39<00:14, 459kB/s]
87%|ââââââââââââââââââââââââââââââââââ | 44.7M/51.1M [01:39<00:15, 421kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 44.7M/51.1M [01:39<00:14, 428kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 44.8M/51.1M [01:39<00:14, 439kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 44.8M/51.1M [01:39<00:14, 447kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 44.9M/51.1M [01:39<00:14, 444kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 44.9M/51.1M [01:40<00:14, 418kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 45.0M/51.1M [01:40<00:14, 427kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 45.0M/51.1M [01:40<00:13, 435kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 45.1M/51.1M [01:40<00:13, 452kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 45.2M/51.1M [01:40<00:12, 460kB/s]
88%|ââââââââââââââââââââââââââââââââââ | 45.2M/51.1M [01:40<00:12, 468kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 45.3M/51.1M [01:40<00:13, 436kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 45.3M/51.1M [01:40<00:13, 442kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 45.4M/51.1M [01:41<00:13, 426kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 45.4M/51.1M [01:41<00:13, 439kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 45.5M/51.1M [01:41<00:12, 461kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 45.5M/51.1M [01:41<00:12, 443kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 45.6M/51.1M [01:41<00:11, 463kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 45.6M/51.1M [01:41<00:11, 462kB/s]
89%|ââââââââââââââââââââââââââââââââââ | 45.7M/51.1M [01:41<00:11, 478kB/s]
90%|ââââââââââââââââââââââââââââââââââ | 45.7M/51.1M [01:41<00:11, 466kB/s]
90%|ââââââââââââââââââââââââââââââââââ | 45.8M/51.1M [01:41<00:12, 426kB/s]
90%|ââââââââââââââââââââââââââââââââââ | 45.8M/51.1M [01:42<00:12, 433kB/s]
90%|ââââââââââââââââââââââââââââââââââ | 45.9M/51.1M [01:42<00:12, 426kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 46.0M/51.1M [01:42<00:11, 453kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 46.0M/51.1M [01:42<00:11, 450kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 46.1M/51.1M [01:42<00:11, 451kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 46.1M/51.1M [01:42<00:11, 450kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 46.2M/51.1M [01:42<00:12, 411kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 46.2M/51.1M [01:42<00:11, 428kB/s]
90%|âââââââââââââââââââââââââââââââââââ | 46.3M/51.1M [01:43<00:11, 434kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 46.3M/51.1M [01:43<00:11, 433kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 46.4M/51.1M [01:43<00:10, 440kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 46.4M/51.1M [01:43<00:10, 451kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 46.4M/51.1M [01:43<00:10, 451kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 46.5M/51.1M [01:43<00:10, 451kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 46.5M/51.1M [01:43<00:09, 458kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 46.6M/51.1M [01:43<00:09, 457kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 46.6M/51.1M [01:43<00:09, 459kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 46.7M/51.1M [01:44<00:09, 457kB/s]
91%|âââââââââââââââââââââââââââââââââââ | 46.7M/51.1M [01:44<00:09, 451kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 46.8M/51.1M [01:44<00:09, 465kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 46.9M/51.1M [01:44<00:09, 429kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 46.9M/51.1M [01:44<00:09, 463kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 47.0M/51.1M [01:44<00:09, 450kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 47.1M/51.1M [01:44<00:08, 480kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 47.1M/51.1M [01:44<00:08, 460kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 47.2M/51.1M [01:45<00:08, 483kB/s]
92%|âââââââââââââââââââââââââââââââââââ | 47.2M/51.1M [01:45<00:08, 472kB/s]
92%|ââââââââââââââââââââââââââââââââââââ | 47.3M/51.1M [01:45<00:08, 446kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 47.3M/51.1M [01:45<00:08, 445kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 47.4M/51.1M [01:45<00:08, 452kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 47.4M/51.1M [01:45<00:08, 454kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 47.5M/51.1M [01:45<00:07, 460kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 47.5M/51.1M [01:45<00:07, 466kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 47.6M/51.1M [01:45<00:07, 467kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 47.6M/51.1M [01:45<00:07, 470kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 47.7M/51.1M [01:46<00:07, 462kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 47.7M/51.1M [01:46<00:07, 467kB/s]
93%|ââââââââââââââââââââââââââââââââââââ | 47.8M/51.1M [01:46<00:07, 464kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 47.8M/51.1M [01:46<00:07, 440kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 47.9M/51.1M [01:46<00:06, 463kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 47.9M/51.1M [01:46<00:06, 465kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 48.0M/51.1M [01:46<00:06, 471kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 48.0M/51.1M [01:46<00:06, 466kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 48.1M/51.1M [01:46<00:06, 466kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 48.1M/51.1M [01:47<00:06, 466kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 48.2M/51.1M [01:47<00:06, 460kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 48.2M/51.1M [01:47<00:06, 475kB/s]
94%|ââââââââââââââââââââââââââââââââââââ | 48.3M/51.1M [01:47<00:05, 488kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 48.3M/51.1M [01:47<00:05, 486kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 48.4M/51.1M [01:47<00:05, 485kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 48.4M/51.1M [01:47<00:05, 484kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 48.5M/51.1M [01:47<00:05, 483kB/s]
95%|ââââââââââââââââââââââââââââââââââââ | 48.5M/51.1M [01:47<00:05, 479kB/s]
95%|âââââââââââââââââââââââââââââââââââââ | 48.6M/51.1M [01:48<00:05, 477kB/s]
95%|âââââââââââââââââââââââââââââââââââââ | 48.6M/51.1M [01:48<00:05, 480kB/s]
95%|âââââââââââââââââââââââââââââââââââââ | 48.7M/51.1M [01:48<00:05, 471kB/s]
95%|âââââââââââââââââââââââââââââââââââââ | 48.7M/51.1M [01:48<00:05, 473kB/s]
95%|âââââââââââââââââââââââââââââââââââââ | 48.8M/51.1M [01:48<00:04, 470kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 48.8M/51.1M [01:48<00:04, 469kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 48.9M/51.1M [01:48<00:04, 458kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 48.9M/51.1M [01:48<00:04, 454kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 49.0M/51.1M [01:48<00:04, 447kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 49.0M/51.1M [01:49<00:04, 448kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 49.1M/51.1M [01:49<00:04, 434kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 49.1M/51.1M [01:49<00:04, 413kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 49.2M/51.1M [01:49<00:04, 429kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 49.2M/51.1M [01:49<00:04, 443kB/s]
96%|âââââââââââââââââââââââââââââââââââââ | 49.3M/51.1M [01:49<00:04, 453kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 49.3M/51.1M [01:49<00:03, 453kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 49.4M/51.1M [01:49<00:04, 426kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 49.4M/51.1M [01:49<00:03, 473kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 49.5M/51.1M [01:50<00:03, 473kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 49.5M/51.1M [01:50<00:03, 462kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 49.6M/51.1M [01:50<00:03, 454kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 49.7M/51.1M [01:50<00:03, 470kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 49.7M/51.1M [01:50<00:02, 483kB/s]
97%|âââââââââââââââââââââââââââââââââââââ | 49.8M/51.1M [01:50<00:02, 454kB/s]
98%|âââââââââââââââââââââââââââââââââââââ | 49.8M/51.1M [01:50<00:02, 486kB/s]
98%|âââââââââââââââââââââââââââââââââââââ | 49.9M/51.1M [01:50<00:02, 478kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 49.9M/51.1M [01:51<00:02, 469kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 50.0M/51.1M [01:51<00:02, 450kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 50.1M/51.1M [01:51<00:02, 475kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 50.1M/51.1M [01:51<00:02, 474kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 50.2M/51.1M [01:51<00:02, 470kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 50.2M/51.1M [01:51<00:01, 465kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 50.2M/51.1M [01:51<00:01, 463kB/s]
98%|ââââââââââââââââââââââââââââââââââââââ| 50.3M/51.1M [01:51<00:01, 470kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 50.3M/51.1M [01:51<00:01, 473kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 50.4M/51.1M [01:52<00:01, 443kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 50.5M/51.1M [01:52<00:01, 482kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 50.5M/51.1M [01:52<00:01, 458kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 50.6M/51.1M [01:52<00:01, 479kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 50.6M/51.1M [01:52<00:00, 472kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 50.7M/51.1M [01:52<00:00, 468kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 50.7M/51.1M [01:52<00:00, 462kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 50.8M/51.1M [01:52<00:00, 469kB/s]
99%|ââââââââââââââââââââââââââââââââââââââ| 50.8M/51.1M [01:52<00:00, 457kB/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 50.9M/51.1M [01:53<00:00, 462kB/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 50.9M/51.1M [01:53<00:00, 451kB/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 51.0M/51.1M [01:53<00:00, 459kB/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 51.0M/51.1M [01:53<00:00, 458kB/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 51.1M/51.1M [01:53<00:00, 462kB/s]
0%| | 0.00/51.1M [00:00<?, ?B/s]
100%|ââââââââââââââââââââââââââââââââââââââ| 51.1M/51.1M [00:00<00:00, 266GB/s]
0%| | 0.00/3.90k [00:00<?, ?B/s]
0%| | 0.00/3.90k [00:00<?, ?B/s]
100%|âââââââââââââââââââââââââââââââââââââ| 3.90k/3.90k [00:00<00:00, 24.0MB/s]
Download complete in 03m47s (94.8 MB)
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4001E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4011E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Reading 0 ... 2507000 = 0.000 ... 25070.000 secs...
Filtering raw data in 1 contiguous segment
Setting up low-pass filter at 30 Hz
FIR filter parameters
---------------------
Designing a one-pass, zero-phase, non-causal lowpass filter:
- Windowed time-domain design (firwin) method
- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation
- Upper passband edge: 30.00 Hz
- Upper transition bandwidth: 7.50 Hz (-6 dB cutoff frequency: 33.75 Hz)
- Filter length: 45 samples (0.450 s)
Writing /tmp/tmp5wim6qaf/0/0-raw.fif
Closing /tmp/tmp5wim6qaf/0/0-raw.fif
[done]
Reading 0 ... 3260000 = 0.000 ... 32600.000 secs...
Filtering raw data in 1 contiguous segment
Setting up low-pass filter at 30 Hz
FIR filter parameters
---------------------
Designing a one-pass, zero-phase, non-causal lowpass filter:
- Windowed time-domain design (firwin) method
- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation
- Upper passband edge: 30.00 Hz
- Upper transition bandwidth: 7.50 Hz (-6 dB cutoff frequency: 33.75 Hz)
- Filter length: 45 samples (0.450 s)
Writing /tmp/tmp5wim6qaf/1/1-raw.fif
Closing /tmp/tmp5wim6qaf/1/1-raw.fif
[done]
/home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:788: UserWarning: Chosen directory /tmp/tmp5wim6qaf contains other subdirectories or files ['0'].
warnings.warn(
Opening raw data file /tmp/tmp5wim6qaf/0/0-raw.fif...
Isotrak not found
Range : 2884000 ... 5391000 = 28840.000 ... 53910.000 secs
Ready.
Opening raw data file /tmp/tmp5wim6qaf/1/1-raw.fif...
Isotrak not found
Range : 1975000 ... 5235000 = 19750.000 ... 52350.000 secs
Ready.
/home/runner/work/braindecode/braindecode/braindecode/preprocessing/preprocess.py:246: UserWarning: Applying preprocessors [<braindecode.preprocessing.preprocess.Preprocessor object at 0x7fb0a412e1b0>] to the mne.io.Raw of an EEGWindowsDataset.
warn(
Reading 0 ... 2507000 = 0.000 ... 25070.000 secs...
Writing /tmp/tmp5wim6qaf/0/0-raw.fif
Closing /tmp/tmp5wim6qaf/0/0-raw.fif
[done]
/home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:777: UserWarning: The number of saved datasets (1) does not match the number of existing subdirectories (2). You may now encounter a mix of differently preprocessed datasets!
warnings.warn(
/home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:788: UserWarning: Chosen directory /tmp/tmp5wim6qaf contains other subdirectories or files ['1'].
warnings.warn(
/home/runner/work/braindecode/braindecode/braindecode/preprocessing/preprocess.py:246: UserWarning: Applying preprocessors [<braindecode.preprocessing.preprocess.Preprocessor object at 0x7fb0a412e1b0>] to the mne.io.Raw of an EEGWindowsDataset.
warn(
Reading 0 ... 3260000 = 0.000 ... 32600.000 secs...
Writing /tmp/tmp5wim6qaf/1/1-raw.fif
Closing /tmp/tmp5wim6qaf/1/1-raw.fif
[done]
/home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:788: UserWarning: Chosen directory /tmp/tmp5wim6qaf contains other subdirectories or files ['0'].
warnings.warn(
Opening raw data file /tmp/tmp5wim6qaf/0/0-raw.fif...
Isotrak not found
Range : 2884000 ... 5391000 = 28840.000 ... 53910.000 secs
Ready.
Opening raw data file /tmp/tmp5wim6qaf/1/1-raw.fif...
Isotrak not found
Range : 1975000 ... 5235000 = 19750.000 ... 52350.000 secs
Ready.
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4001E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4011E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Opening raw data file /tmp/tmp10cb5a5v/0/0-raw.fif...
Isotrak not found
Range : 2884000 ... 5391000 = 28840.000 ... 53910.000 secs
Ready.
Opening raw data file /tmp/tmp10cb5a5v/1/1-raw.fif...
Isotrak not found
Range : 1975000 ... 5235000 = 19750.000 ... 52350.000 secs
Ready.
Opening raw data file /tmp/tmp10cb5a5v/0/0-raw.fif...
Isotrak not found
Range : 2884000 ... 5391000 = 28840.000 ... 53910.000 secs
Ready.
Opening raw data file /tmp/tmp10cb5a5v/1/1-raw.fif...
Isotrak not found
Range : 1975000 ... 5235000 = 19750.000 ... 52350.000 secs
Ready.
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4001E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4011E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Reading 0 ... 2507000 = 0.000 ... 25070.000 secs...
Filtering raw data in 1 contiguous segment
Setting up low-pass filter at 30 Hz
FIR filter parameters
---------------------
Designing a one-pass, zero-phase, non-causal lowpass filter:
- Windowed time-domain design (firwin) method
- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation
- Upper passband edge: 30.00 Hz
- Upper transition bandwidth: 7.50 Hz (-6 dB cutoff frequency: 33.75 Hz)
- Filter length: 45 samples (0.450 s)
Reading 0 ... 3260000 = 0.000 ... 32600.000 secs...
Filtering raw data in 1 contiguous segment
Setting up low-pass filter at 30 Hz
FIR filter parameters
---------------------
Designing a one-pass, zero-phase, non-causal lowpass filter:
- Windowed time-domain design (firwin) method
- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation
- Upper passband edge: 30.00 Hz
- Upper transition bandwidth: 7.50 Hz (-6 dB cutoff frequency: 33.75 Hz)
- Filter length: 45 samples (0.450 s)
/home/runner/work/braindecode/braindecode/braindecode/preprocessing/preprocess.py:246: UserWarning: Applying preprocessors [<braindecode.preprocessing.preprocess.Preprocessor object at 0x7fb0a4655820>] to the mne.io.Raw of an EEGWindowsDataset.
warn(
/home/runner/work/braindecode/braindecode/braindecode/preprocessing/preprocess.py:246: UserWarning: Applying preprocessors [<braindecode.preprocessing.preprocess.Preprocessor object at 0x7fb0a4655820>] to the mne.io.Raw of an EEGWindowsDataset.
warn(
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4001E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4011E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4001E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4011E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Reading 0 ... 2507000 = 0.000 ... 25070.000 secs...
Filtering raw data in 1 contiguous segment
Setting up low-pass filter at 30 Hz
FIR filter parameters
---------------------
Designing a one-pass, zero-phase, non-causal lowpass filter:
- Windowed time-domain design (firwin) method
- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation
- Upper passband edge: 30.00 Hz
- Upper transition bandwidth: 7.50 Hz (-6 dB cutoff frequency: 33.75 Hz)
- Filter length: 45 samples (0.450 s)
Writing /tmp/tmp_ehxgely/0/0-raw.fif
Closing /tmp/tmp_ehxgely/0/0-raw.fif
[done]
Reading 0 ... 3260000 = 0.000 ... 32600.000 secs...
Filtering raw data in 1 contiguous segment
Setting up low-pass filter at 30 Hz
FIR filter parameters
---------------------
Designing a one-pass, zero-phase, non-causal lowpass filter:
- Windowed time-domain design (firwin) method
- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation
- Upper passband edge: 30.00 Hz
- Upper transition bandwidth: 7.50 Hz (-6 dB cutoff frequency: 33.75 Hz)
- Filter length: 45 samples (0.450 s)
Writing /tmp/tmp_ehxgely/1/1-raw.fif
Closing /tmp/tmp_ehxgely/1/1-raw.fif
[done]
/home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:788: UserWarning: Chosen directory /tmp/tmp_ehxgely contains other subdirectories or files ['0'].
warnings.warn(
Opening raw data file /tmp/tmp_ehxgely/0/0-raw.fif...
Isotrak not found
Range : 2884000 ... 5391000 = 28840.000 ... 53910.000 secs
Ready.
Opening raw data file /tmp/tmp_ehxgely/1/1-raw.fif...
Isotrak not found
Range : 1975000 ... 5235000 = 19750.000 ... 52350.000 secs
Ready.
/home/runner/work/braindecode/braindecode/braindecode/preprocessing/preprocess.py:246: UserWarning: Applying preprocessors [<braindecode.preprocessing.preprocess.Preprocessor object at 0x7fafcdd60140>] to the mne.io.Raw of an EEGWindowsDataset.
warn(
Reading 0 ... 2507000 = 0.000 ... 25070.000 secs...
Writing /tmp/tmp_ehxgely/0/0-raw.fif
Closing /tmp/tmp_ehxgely/0/0-raw.fif
[done]
/home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:777: UserWarning: The number of saved datasets (1) does not match the number of existing subdirectories (2). You may now encounter a mix of differently preprocessed datasets!
warnings.warn(
/home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:788: UserWarning: Chosen directory /tmp/tmp_ehxgely contains other subdirectories or files ['1'].
warnings.warn(
/home/runner/work/braindecode/braindecode/braindecode/preprocessing/preprocess.py:246: UserWarning: Applying preprocessors [<braindecode.preprocessing.preprocess.Preprocessor object at 0x7fafcdd60140>] to the mne.io.Raw of an EEGWindowsDataset.
warn(
Reading 0 ... 3260000 = 0.000 ... 32600.000 secs...
Writing /tmp/tmp_ehxgely/1/1-raw.fif
Closing /tmp/tmp_ehxgely/1/1-raw.fif
[done]
/home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:788: UserWarning: Chosen directory /tmp/tmp_ehxgely contains other subdirectories or files ['0'].
warnings.warn(
Opening raw data file /tmp/tmp_ehxgely/0/0-raw.fif...
Isotrak not found
Range : 2884000 ... 5391000 = 28840.000 ... 53910.000 secs
Ready.
Opening raw data file /tmp/tmp_ehxgely/1/1-raw.fif...
Isotrak not found
Range : 1975000 ... 5235000 = 19750.000 ... 52350.000 secs
Ready.
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4001E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4011E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Opening raw data file /tmp/tmpshfcv3fy/0/0-raw.fif...
Isotrak not found
Range : 2884000 ... 5391000 = 28840.000 ... 53910.000 secs
Ready.
Opening raw data file /tmp/tmpshfcv3fy/1/1-raw.fif...
Isotrak not found
Range : 1975000 ... 5235000 = 19750.000 ... 52350.000 secs
Ready.
Opening raw data file /tmp/tmpshfcv3fy/0/0-raw.fif...
Isotrak not found
Range : 2884000 ... 5391000 = 28840.000 ... 53910.000 secs
Ready.
Opening raw data file /tmp/tmpshfcv3fy/1/1-raw.fif...
Isotrak not found
Range : 1975000 ... 5235000 = 19750.000 ... 52350.000 secs
Ready.
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4001E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4011E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Reading 0 ... 2507000 = 0.000 ... 25070.000 secs...
Filtering raw data in 1 contiguous segment
Setting up low-pass filter at 30 Hz
FIR filter parameters
---------------------
Designing a one-pass, zero-phase, non-causal lowpass filter:
- Windowed time-domain design (firwin) method
- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation
- Upper passband edge: 30.00 Hz
- Upper transition bandwidth: 7.50 Hz (-6 dB cutoff frequency: 33.75 Hz)
- Filter length: 45 samples (0.450 s)
Reading 0 ... 3260000 = 0.000 ... 32600.000 secs...
Filtering raw data in 1 contiguous segment
Setting up low-pass filter at 30 Hz
FIR filter parameters
---------------------
Designing a one-pass, zero-phase, non-causal lowpass filter:
- Windowed time-domain design (firwin) method
- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation
- Upper passband edge: 30.00 Hz
- Upper transition bandwidth: 7.50 Hz (-6 dB cutoff frequency: 33.75 Hz)
- Filter length: 45 samples (0.450 s)
/home/runner/work/braindecode/braindecode/braindecode/preprocessing/preprocess.py:246: UserWarning: Applying preprocessors [<braindecode.preprocessing.preprocess.Preprocessor object at 0x7fafd257a150>] to the mne.io.Raw of an EEGWindowsDataset.
warn(
/home/runner/work/braindecode/braindecode/braindecode/preprocessing/preprocess.py:246: UserWarning: Applying preprocessors [<braindecode.preprocessing.preprocess.Preprocessor object at 0x7fafd257a150>] to the mne.io.Raw of an EEGWindowsDataset.
warn(
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4001E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Extracting EDF parameters from /home/runner/mne_data/physionet-sleep-data/SC4011E0-PSG.edf...
EDF file detected
Setting channel info structure...
Creating raw.info structure...
Finally, we can plot the results:
df = pd.DataFrame(results)
fig, ax = plt.subplots(figsize=(6, 4))
colors = {True: "tab:orange", False: "tab:blue"}
markers = {n: m for n, m in zip(all_n_jobs, ["o", "x", "."])}
for (save, n_jobs), sub_df in df.groupby(["save", "n_jobs"]):
ax.scatter(
x=sub_df["time"],
y=sub_df["max_mem"],
color=colors[save],
marker=markers[n_jobs],
label=f"save={save}, n_jobs={n_jobs}",
)
ax.legend()
ax.set_xlabel("Execution time (s)")
ax.set_ylabel("Memory usage (MiB)")
ax.set_title(f"Loading and preprocessing {all_n_recs} recordings from Sleep Physionet")
plt.show()
We see that parallel preprocessing without serialization (blue crosses) is faster than simple sequential processing (blue circles), however it uses more memory.
Combining parallel preprocessing and serialization (orange crosses) reduces memory usage significantly, however it increases run time by a few seconds. Depending on available resources (e.g. in limited memory settings), it might therefore be more advantageous to use both parallelization and serialization together.
Total running time of the script: (4 minutes 34.078 seconds)
Estimated memory usage: 884 MB