92 lines
21 KiB
Plaintext
92 lines
21 KiB
Plaintext
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 0%| | 0/8788 [00:00<?, ?it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 2%|▏ | 214/8788 [00:00<00:04, 2139.71it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 5%|▍ | 432/8788 [00:00<00:03, 2160.83it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 7%|▋ | 652/8788 [00:00<00:03, 2177.51it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 10%|▉ | 870/8788 [00:00<00:04, 1781.89it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 12%|█▏ | 1093/8788 [00:00<00:04, 1922.38it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 15%|█▍ | 1302/8788 [00:00<00:03, 1973.63it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 17%|█▋ | 1519/8788 [00:00<00:03, 2033.40it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 20%|█▉ | 1727/8788 [00:00<00:03, 2046.26it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 22%|██▏ | 1935/8788 [00:00<00:03, 2050.12it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 24%|██▍ | 2143/8788 [00:01<00:03, 2058.48it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 27%|██▋ | 2354/8788 [00:01<00:03, 2073.30it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 29%|██▉ | 2563/8788 [00:01<00:02, 2077.62it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 32%|███▏ | 2779/8788 [00:01<00:02, 2101.64it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 34%|███▍ | 2999/8788 [00:01<00:02, 2130.14it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 37%|███▋ | 3217/8788 [00:01<00:02, 2144.00it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 39%|███▉ | 3439/8788 [00:01<00:02, 2165.91it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 42%|████▏ | 3656/8788 [00:01<00:02, 1933.12it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 44%|████▍ | 3870/8788 [00:01<00:02, 1989.38it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 46%|████▋ | 4083/8788 [00:02<00:02, 2027.66it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 49%|████▉ | 4292/8788 [00:02<00:02, 2044.54it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 51%|█████▏ | 4505/8788 [00:02<00:02, 2067.68it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 54%|█████▎ | 4718/8788 [00:02<00:01, 2083.65it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 56%|█████▌ | 4934/8788 [00:02<00:01, 2104.89it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 59%|█████▊ | 5146/8788 [00:02<00:01, 2098.50it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 61%|██████ | 5359/8788 [00:02<00:01, 2106.81it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 63%|██████▎ | 5571/8788 [00:02<00:01, 2106.90it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 66%|██████▌ | 5784/8788 [00:02<00:01, 2113.11it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 68%|██████▊ | 5997/8788 [00:02<00:01, 2117.65it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 71%|███████ | 6209/8788 [00:03<00:01, 1919.20it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 73%|███████▎ | 6421/8788 [00:03<00:01, 1974.09it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 76%|███████▌ | 6635/8788 [00:03<00:01, 2020.53it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 78%|███████▊ | 6855/8788 [00:03<00:00, 2069.95it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 80%|████████ | 7069/8788 [00:03<00:00, 2088.42it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 83%|████████▎ | 7286/8788 [00:03<00:00, 2111.94it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 85%|████████▌ | 7499/8788 [00:03<00:00, 2109.28it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 88%|████████▊ | 7711/8788 [00:03<00:00, 2078.95it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 90%|█████████ | 7920/8788 [00:03<00:00, 2078.94it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 93%|█████████▎| 8132/8788 [00:03<00:00, 2086.86it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 95%|█████████▌| 8351/8788 [00:04<00:00, 2116.68it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 97%|█████████▋| 8566/8788 [00:04<00:00, 2125.35it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 100%|█████████▉| 8779/8788 [00:04<00:00, 2122.18it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/train/gasp.train+dev.feature.txt: 100%|██████████| 8788/8788 [00:04<00:00, 2066.08it/s]
|
|
|
|
\-- filling matrix of shape (8788, 694582): 0%| | 0/8788 [00:00<?, ?it/s]
|
|
\-- filling matrix of shape (8788, 694582): 3%|▎ | 293/8788 [00:00<00:02, 2926.88it/s]
|
|
\-- filling matrix of shape (8788, 694582): 7%|▋ | 586/8788 [00:00<00:02, 2841.47it/s]
|
|
\-- filling matrix of shape (8788, 694582): 10%|▉ | 871/8788 [00:00<00:02, 2751.30it/s]
|
|
\-- filling matrix of shape (8788, 694582): 13%|█▎ | 1147/8788 [00:00<00:02, 2753.51it/s]
|
|
\-- filling matrix of shape (8788, 694582): 16%|█▌ | 1423/8788 [00:00<00:02, 2641.78it/s]
|
|
\-- filling matrix of shape (8788, 694582): 19%|█▉ | 1690/8788 [00:00<00:02, 2646.93it/s]
|
|
\-- filling matrix of shape (8788, 694582): 22%|██▏ | 1956/8788 [00:00<00:02, 2638.97it/s]
|
|
\-- filling matrix of shape (8788, 694582): 25%|██▌ | 2221/8788 [00:00<00:02, 2620.86it/s]
|
|
\-- filling matrix of shape (8788, 694582): 28%|██▊ | 2484/8788 [00:00<00:02, 2623.08it/s]
|
|
\-- filling matrix of shape (8788, 694582): 31%|███▏ | 2747/8788 [00:01<00:02, 2068.94it/s]
|
|
\-- filling matrix of shape (8788, 694582): 34%|███▍ | 3020/8788 [00:01<00:02, 2235.87it/s]
|
|
\-- filling matrix of shape (8788, 694582): 37%|███▋ | 3287/8788 [00:01<00:02, 2351.51it/s]
|
|
\-- filling matrix of shape (8788, 694582): 40%|████ | 3553/8788 [00:01<00:02, 2435.28it/s]
|
|
\-- filling matrix of shape (8788, 694582): 43%|████▎ | 3807/8788 [00:01<00:02, 2461.57it/s]
|
|
\-- filling matrix of shape (8788, 694582): 46%|████▋ | 4065/8788 [00:01<00:01, 2494.53it/s]
|
|
\-- filling matrix of shape (8788, 694582): 49%|████▉ | 4320/8788 [00:01<00:01, 2500.87it/s]
|
|
\-- filling matrix of shape (8788, 694582): 52%|█████▏ | 4577/8788 [00:01<00:01, 2520.39it/s]
|
|
\-- filling matrix of shape (8788, 694582): 55%|█████▌ | 4835/8788 [00:01<00:01, 2535.42it/s]
|
|
\-- filling matrix of shape (8788, 694582): 58%|█████▊ | 5091/8788 [00:02<00:01, 2031.12it/s]
|
|
\-- filling matrix of shape (8788, 694582): 61%|██████ | 5351/8788 [00:02<00:01, 2172.14it/s]
|
|
\-- filling matrix of shape (8788, 694582): 64%|██████▍ | 5611/8788 [00:02<00:01, 2283.63it/s]
|
|
\-- filling matrix of shape (8788, 694582): 67%|██████▋ | 5870/8788 [00:02<00:01, 2366.24it/s]
|
|
\-- filling matrix of shape (8788, 694582): 70%|██████▉ | 6133/8788 [00:02<00:01, 2438.45it/s]
|
|
\-- filling matrix of shape (8788, 694582): 73%|███████▎ | 6397/8788 [00:02<00:00, 2495.60it/s]
|
|
\-- filling matrix of shape (8788, 694582): 76%|███████▌ | 6653/8788 [00:02<00:00, 2513.93it/s]
|
|
\-- filling matrix of shape (8788, 694582): 79%|███████▊ | 6915/8788 [00:02<00:00, 2544.32it/s]
|
|
\-- filling matrix of shape (8788, 694582): 82%|████████▏ | 7172/8788 [00:02<00:00, 2538.47it/s]
|
|
\-- filling matrix of shape (8788, 694582): 85%|████████▍ | 7430/8788 [00:03<00:00, 2550.02it/s]
|
|
\-- filling matrix of shape (8788, 694582): 87%|████████▋ | 7687/8788 [00:03<00:00, 2527.47it/s]
|
|
\-- filling matrix of shape (8788, 694582): 90%|█████████ | 7942/8788 [00:03<00:00, 2531.19it/s]
|
|
\-- filling matrix of shape (8788, 694582): 93%|█████████▎| 8198/8788 [00:03<00:00, 2539.38it/s]
|
|
\-- filling matrix of shape (8788, 694582): 96%|█████████▌| 8453/8788 [00:03<00:00, 2540.15it/s]
|
|
\-- filling matrix of shape (8788, 694582): 99%|█████████▉| 8710/8788 [00:03<00:00, 2547.26it/s]
|
|
\-- filling matrix of shape (8788, 694582): 100%|██████████| 8788/8788 [00:03<00:00, 2478.31it/s]
|
|
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 0%| | 0/3765 [00:00<?, ?it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 6%|▋ | 242/3765 [00:00<00:01, 2414.80it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 13%|█▎ | 484/3765 [00:00<00:01, 2364.60it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 19%|█▉ | 726/3765 [00:00<00:01, 2387.77it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 26%|██▌ | 973/3765 [00:00<00:01, 2416.87it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 32%|███▏ | 1215/3765 [00:00<00:01, 2390.06it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 39%|███▉ | 1461/3765 [00:00<00:00, 2413.48it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 46%|████▌ | 1715/3765 [00:00<00:00, 2452.33it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 52%|█████▏ | 1961/3765 [00:00<00:00, 2440.40it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 59%|█████▊ | 2206/3765 [00:00<00:00, 2442.10it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 65%|██████▌ | 2451/3765 [00:01<00:00, 2405.28it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 72%|███████▏ | 2692/3765 [00:01<00:00, 2367.04it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 78%|███████▊ | 2942/3765 [00:01<00:00, 2403.63it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 85%|████████▍ | 3189/3765 [00:01<00:00, 2421.19it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 91%|█████████ | 3432/3765 [00:01<00:00, 2417.84it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 98%|█████████▊| 3674/3765 [00:01<00:00, 2417.42it/s]
|
|
loading /home/lorev/quapy_data/tweet_sentiment_quantification_snam/test/gasp.test.feature.txt: 100%|██████████| 3765/3765 [00:01<00:00, 2412.24it/s]
|
|
|
|
\-- filling matrix of shape (3765, 694582): 0%| | 0/3765 [00:00<?, ?it/s]
|
|
\-- filling matrix of shape (3765, 694582): 9%|▉ | 344/3765 [00:00<00:01, 3366.63it/s]
|
|
\-- filling matrix of shape (3765, 694582): 18%|█▊ | 681/3765 [00:00<00:00, 3334.38it/s]
|
|
\-- filling matrix of shape (3765, 694582): 27%|██▋ | 1015/3765 [00:00<00:00, 3118.43it/s]
|
|
\-- filling matrix of shape (3765, 694582): 35%|███▌ | 1329/3765 [00:00<00:00, 3045.81it/s]
|
|
\-- filling matrix of shape (3765, 694582): 43%|████▎ | 1635/3765 [00:00<00:00, 2901.01it/s]
|
|
\-- filling matrix of shape (3765, 694582): 51%|█████▏ | 1931/3765 [00:00<00:00, 2919.73it/s]
|
|
\-- filling matrix of shape (3765, 694582): 59%|█████▉ | 2224/3765 [00:00<00:00, 2909.24it/s]
|
|
\-- filling matrix of shape (3765, 694582): 67%|██████▋ | 2516/3765 [00:00<00:00, 2758.80it/s]
|
|
\-- filling matrix of shape (3765, 694582): 74%|███████▍ | 2794/3765 [00:00<00:00, 2508.08it/s]
|
|
\-- filling matrix of shape (3765, 694582): 82%|████████▏ | 3086/3765 [00:01<00:00, 2619.03it/s]
|
|
\-- filling matrix of shape (3765, 694582): 89%|████████▉ | 3360/3765 [00:01<00:00, 2651.79it/s]
|
|
\-- filling matrix of shape (3765, 694582): 97%|█████████▋| 3644/3765 [00:01<00:00, 2705.06it/s]
|
|
\-- filling matrix of shape (3765, 694582): 100%|██████████| 3765/3765 [00:01<00:00, 2808.67it/s]
|
|
Traceback (most recent call last):
|
|
File "/home/lorev/tesi/quacc/evaluation/comp.py", line 42, in estimate_worker
|
|
result = _estimate(model, validation, protocol)
|
|
File "/home/lorev/tesi/quacc/evaluation/baseline.py", line 30, in wrapper
|
|
return func(c_model, validation, protocol)
|
|
File "/home/lorev/tesi/quacc/evaluation/baseline.py", line 81, in ref
|
|
f1_score=metrics.f1_score(test.y, test_preds),
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 214, in wrapper
|
|
return func(*args, **kwargs)
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/sklearn/metrics/_classification.py", line 1239, in f1_score
|
|
return fbeta_score(
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 187, in wrapper
|
|
return func(*args, **kwargs)
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/sklearn/metrics/_classification.py", line 1413, in fbeta_score
|
|
_, _, f, _ = precision_recall_fscore_support(
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 187, in wrapper
|
|
return func(*args, **kwargs)
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/sklearn/metrics/_classification.py", line 1724, in precision_recall_fscore_support
|
|
labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label)
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/sklearn/metrics/_classification.py", line 1518, in _check_set_wise_labels
|
|
raise ValueError(
|
|
ValueError: Target is multiclass but average='binary'. Please choose another average setting, one of [None, 'micro', 'macro', 'weighted'].
|
|
Traceback (most recent call last):
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/parallel.py", line 1595, in _get_outputs
|
|
yield from self._retrieve()
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/parallel.py", line 1707, in _retrieve
|
|
time.sleep(0.01)
|
|
KeyboardInterrupt
|
|
|
|
During handling of the above exception, another exception occurred:
|
|
|
|
Traceback (most recent call last):
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/parallel.py", line 1648, in _get_outputs
|
|
self._abort()
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/parallel.py", line 1559, in _abort
|
|
backend.abort_everything(ensure_ready=ensure_ready)
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/_parallel_backends.py", line 632, in abort_everything
|
|
self._workers.terminate(kill_workers=True)
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/executor.py", line 75, in terminate
|
|
self.shutdown(kill_workers=kill_workers)
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/externals/loky/process_executor.py", line 1303, in shutdown
|
|
executor_manager_thread.join()
|
|
File "/home/lorev/.pyenv/versions/3.10.12/lib/python3.10/threading.py", line 1096, in join
|
|
self._wait_for_tstate_lock()
|
|
File "/home/lorev/.pyenv/versions/3.10.12/lib/python3.10/threading.py", line 1116, in _wait_for_tstate_lock
|
|
if lock.acquire(block, timeout):
|
|
KeyboardInterrupt
|
|
|
|
During handling of the above exception, another exception occurred:
|
|
|
|
Traceback (most recent call last):
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/bin/run", line 6, in <module>
|
|
sys.exit(run())
|
|
File "/home/lorev/tesi/run.py", line 15, in run
|
|
run_local()
|
|
File "/home/lorev/tesi/quacc/main.py", line 48, in main
|
|
estimate_comparison()
|
|
File "/home/lorev/tesi/quacc/main.py", line 30, in estimate_comparison
|
|
dr = comp.evaluate_comparison(
|
|
File "/home/lorev/tesi/quacc/evaluation/comp.py", line 90, in evaluate_comparison
|
|
results = parallel(estimate_worker, par_tasks, n_jobs=env.N_JOBS, _env=env)
|
|
File "/home/lorev/tesi/quacc/utils.py", line 108, in parallel
|
|
return parallel(delayed(wrapper)(*_args) for _args in f_args)
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/parallel.py", line 1952, in __call__
|
|
return output if self.return_generator else list(output)
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/parallel.py", line 1656, in _get_outputs
|
|
self._terminate_and_reset()
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/parallel.py", line 1359, in _terminate_and_reset
|
|
self._backend.terminate()
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/_parallel_backends.py", line 622, in terminate
|
|
self._workers._temp_folder_manager._clean_temporary_resources(
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/_memmapping_reducer.py", line 636, in _clean_temporary_resources
|
|
delete_folder(
|
|
File "/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/disk.py", line 136, in delete_folder
|
|
time.sleep(RM_SUBDIRS_RETRY_TIME)
|
|
KeyboardInterrupt
|
|
Exception ignored in: <module 'threading' from '/home/lorev/.pyenv/versions/3.10.12/lib/python3.10/threading.py'>
|
|
Traceback (most recent call last):
|
|
File "/home/lorev/.pyenv/versions/3.10.12/lib/python3.10/threading.py", line 1567, in _shutdown
|
|
lock.acquire()
|
|
KeyboardInterrupt:
|
|
Exception in thread Thread-1 (log_listener):
|
|
Traceback (most recent call last):
|
|
Fatal Python error: _enter_buffered_busy: could not acquire lock for <ascii(self) failed> at interpreter shutdown, possibly due to daemon threads
|
|
Python runtime state: finalizing (tstate=0x0000560ae378d100)
|
|
/home/lorev/.cache/pypoetry/virtualenvs/quacc-oEGFKswq-py3.10/lib/python3.10/site-packages/joblib/externals/loky/backend/resource_tracker.py:314: UserWarning: resource_tracker: There appear to be 4 leaked file objects to clean up at shutdown
|
|
warnings.warn(
|