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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'best_epoch', 'nn_training_time_s', 'n_train_windows'}) and 7 missing columns ({'source_training_time_s', 'target_n_train_windows', 'source_subjects', 'source_best_epoch', 'target_training_time_s', 'source_n_train_windows', 'target_best_epoch'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mirom11/eeg-veritas-results/BNCI2014_001/eegnet/overall/training_times.csv (at revision 0747bb9ed64756994f67fcf95dc935bf606077eb), ['hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-01/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-02/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-03/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-04/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-05/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-06/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-07/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-08/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-09/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/fbcsp_lda/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/psd_gaussian/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/psd_gaussian/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/riemann_fgmdm/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-01/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-02/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-03/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-04/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-05/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-06/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-07/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-08/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-09/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/fbcsp_lda/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/psd_gaussian/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/psd_gaussian/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/riemann_fgmdm/overall/training_times.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
subject: string
window_s: double
update_hz: double
mode: string
seed: int64
n_train_windows: int64
best_epoch: int64
nn_training_time_s: double
total_training_time_s: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1365
to
{'subject': Value('int64'), 'source_subjects': Value('string'), 'window_s': Value('float64'), 'update_hz': Value('float64'), 'mode': Value('string'), 'seed': Value('int64'), 'source_n_train_windows': Value('int64'), 'source_best_epoch': Value('int64'), 'source_training_time_s': Value('float64'), 'target_n_train_windows': Value('int64'), 'target_best_epoch': Value('int64'), 'target_training_time_s': Value('float64'), 'total_training_time_s': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'best_epoch', 'nn_training_time_s', 'n_train_windows'}) and 7 missing columns ({'source_training_time_s', 'target_n_train_windows', 'source_subjects', 'source_best_epoch', 'target_training_time_s', 'source_n_train_windows', 'target_best_epoch'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mirom11/eeg-veritas-results/BNCI2014_001/eegnet/overall/training_times.csv (at revision 0747bb9ed64756994f67fcf95dc935bf606077eb), ['hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-01/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-02/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-03/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-04/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-05/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-06/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-07/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-08/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/sub-09/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/LP/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/eegnet/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/fbcsp_lda/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/psd_gaussian/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/psd_gaussian/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_001/riemann_fgmdm/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-01/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-02/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-03/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-04/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-05/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-06/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-07/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-08/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/sub-09/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/LP/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/eegnet/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/fbcsp_lda/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/psd_gaussian/overall/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/psd_gaussian/training_times.csv', 'hf://datasets/mirom11/eeg-veritas-results@0747bb9ed64756994f67fcf95dc935bf606077eb/BNCI2014_004/riemann_fgmdm/overall/training_times.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
subject int64 | source_subjects string | window_s float64 | update_hz float64 | mode string | seed int64 | source_n_train_windows int64 | source_best_epoch int64 | source_training_time_s float64 | target_n_train_windows int64 | target_best_epoch int64 | target_training_time_s float64 | total_training_time_s float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2,3,4,5,6,7,8,9 | 1 | 10 | online | 42 | 75,560 | 50 | 557.169195 | 9,430 | 20 | 26.59495 | 583.764144 |
1 | 2,3,4,5,6,7,8,9 | 1 | 10 | online | 123 | 75,560 | 41 | 568.153842 | 9,430 | 7 | 15.32229 | 583.476132 |
1 | 2,3,4,5,6,7,8,9 | 1 | 10 | online | 2,024 | 75,560 | 44 | 550.641542 | 9,430 | 31 | 41.904531 | 592.546073 |
1 | 2,3,4,5,6,7,8,9 | 1 | 20 | online | 42 | 154,812 | 31 | 935.692231 | 19,320 | 5 | 32.404311 | 968.096542 |
1 | 2,3,4,5,6,7,8,9 | 1 | 20 | online | 123 | 154,812 | 24 | 769.111156 | 19,320 | 6 | 34.743394 | 803.85455 |
1 | 2,3,4,5,6,7,8,9 | 1 | 20 | online | 2,024 | 154,812 | 22 | 721.855249 | 19,320 | 27 | 65.582414 | 787.437663 |
1 | 2,3,4,5,6,7,8,9 | 1 | 25 | online | 42 | 186,140 | 23 | 904.066082 | 23,230 | 19 | 72.493284 | 976.559366 |
1 | 2,3,4,5,6,7,8,9 | 1 | 25 | online | 123 | 186,140 | 45 | 1,347.500655 | 23,230 | 8 | 45.579487 | 1,393.080143 |
1 | 2,3,4,5,6,7,8,9 | 1 | 25 | online | 2,024 | 186,140 | 30 | 1,072.800829 | 23,230 | 11 | 44.42496 | 1,117.225789 |
1 | 2,3,4,5,6,7,8,9 | 2 | 10 | online | 42 | 75,560 | 20 | 383.359735 | 9,430 | 27 | 43.061756 | 426.421492 |
1 | 2,3,4,5,6,7,8,9 | 2 | 10 | online | 123 | 75,560 | 25 | 439.101662 | 9,430 | 15 | 28.81638 | 467.918042 |
1 | 2,3,4,5,6,7,8,9 | 2 | 10 | online | 2,024 | 75,560 | 26 | 443.968263 | 9,430 | 3 | 15.916375 | 459.884638 |
1 | 2,3,4,5,6,7,8,9 | 2 | 20 | online | 42 | 154,812 | 9 | 511.715245 | 19,320 | 20 | 70.439365 | 582.15461 |
1 | 2,3,4,5,6,7,8,9 | 2 | 20 | online | 123 | 154,812 | 25 | 908.599911 | 19,320 | 10 | 41.966153 | 950.566064 |
1 | 2,3,4,5,6,7,8,9 | 2 | 20 | online | 2,024 | 154,812 | 33 | 1,086.485014 | 19,320 | 3 | 29.4244 | 1,115.909414 |
1 | 2,3,4,5,6,7,8,9 | 2 | 25 | online | 42 | 186,140 | 8 | 566.018836 | 23,230 | 31 | 99.811587 | 665.830422 |
1 | 2,3,4,5,6,7,8,9 | 2 | 25 | online | 123 | 186,140 | 21 | 962.417613 | 23,230 | 1 | 29.435245 | 991.852858 |
1 | 2,3,4,5,6,7,8,9 | 2 | 25 | online | 2,024 | 186,140 | 40 | 1,531.110426 | 23,230 | 2 | 36.204953 | 1,567.315379 |
1 | 2,3,4,5,6,7,8,9 | 3 | 10 | online | 42 | 75,560 | 30 | 606.903018 | 9,430 | 6 | 21.221346 | 628.124364 |
1 | 2,3,4,5,6,7,8,9 | 3 | 10 | online | 123 | 75,560 | 8 | 284.314632 | 9,430 | 3 | 18.263026 | 302.577658 |
1 | 2,3,4,5,6,7,8,9 | 3 | 10 | online | 2,024 | 75,560 | 49 | 770.601361 | 9,430 | 2 | 18.007934 | 788.609295 |
1 | 2,3,4,5,6,7,8,9 | 3 | 20 | online | 42 | 154,812 | 6 | 530.026169 | 19,320 | 12 | 54.770461 | 584.79663 |
1 | 2,3,4,5,6,7,8,9 | 3 | 20 | online | 123 | 154,812 | 8 | 587.075981 | 19,320 | 19 | 79.923359 | 666.99934 |
1 | 2,3,4,5,6,7,8,9 | 3 | 20 | online | 2,024 | 154,812 | 21 | 1,011.783483 | 19,320 | 16 | 71.612324 | 1,083.395807 |
1 | 2,3,4,5,6,7,8,9 | 3 | 25 | online | 42 | 186,140 | 29 | 1,509.356267 | 23,230 | 3 | 41.207659 | 1,550.563926 |
1 | 2,3,4,5,6,7,8,9 | 3 | 25 | online | 123 | 186,140 | 17 | 1,036.463905 | 23,230 | 2 | 42.386467 | 1,078.850372 |
1 | 2,3,4,5,6,7,8,9 | 3 | 25 | online | 2,024 | 186,140 | 24 | 1,293.132895 | 23,230 | 3 | 46.933877 | 1,340.066772 |
1 | 2,3,4,5,6,7,8,9 | 4 | null | offline | 42 | 1,843 | 28 | 16.297544 | 230 | 48 | 1.986553 | 18.284098 |
1 | 2,3,4,5,6,7,8,9 | 4 | null | offline | 123 | 1,843 | 43 | 21.237293 | 230 | 50 | 2.002124 | 23.239417 |
1 | 2,3,4,5,6,7,8,9 | 4 | null | offline | 2,024 | 1,843 | 38 | 20.405316 | 230 | 38 | 1.881781 | 22.287097 |
2 | 1,3,4,5,6,7,8,9 | 1 | 10 | online | 42 | 75,560 | 50 | 493.113268 | 9,430 | 1 | 10.094896 | 503.208163 |
2 | 1,3,4,5,6,7,8,9 | 1 | 10 | online | 123 | 75,560 | 42 | 490.812642 | 9,430 | 3 | 11.70675 | 502.519392 |
2 | 1,3,4,5,6,7,8,9 | 1 | 10 | online | 2,024 | 75,560 | 42 | 496.083018 | 9,430 | 7 | 15.171474 | 511.254493 |
2 | 1,3,4,5,6,7,8,9 | 1 | 20 | online | 42 | 154,812 | 31 | 826.950448 | 19,320 | 6 | 29.499727 | 856.450176 |
2 | 1,3,4,5,6,7,8,9 | 1 | 20 | online | 123 | 154,812 | 43 | 1,003.51791 | 19,320 | 18 | 49.683005 | 1,053.200915 |
2 | 1,3,4,5,6,7,8,9 | 1 | 20 | online | 2,024 | 154,812 | 25 | 706.183835 | 19,320 | 9 | 34.550982 | 740.734818 |
2 | 1,3,4,5,6,7,8,9 | 1 | 25 | online | 42 | 186,140 | 33 | 1,052.852944 | 23,230 | 5 | 33.03128 | 1,085.884224 |
2 | 1,3,4,5,6,7,8,9 | 1 | 25 | online | 123 | 186,140 | 47 | 1,206.848027 | 23,230 | 6 | 34.979786 | 1,241.827813 |
2 | 1,3,4,5,6,7,8,9 | 1 | 25 | online | 2,024 | 186,140 | 46 | 1,217.137875 | 23,230 | 7 | 36.77363 | 1,253.911504 |
2 | 1,3,4,5,6,7,8,9 | 2 | 10 | online | 42 | 75,560 | 23 | 387.766079 | 9,430 | 12 | 23.707781 | 411.47386 |
2 | 1,3,4,5,6,7,8,9 | 2 | 10 | online | 123 | 75,560 | 16 | 306.779053 | 9,430 | 1 | 12.044957 | 318.82401 |
2 | 1,3,4,5,6,7,8,9 | 2 | 10 | online | 2,024 | 75,560 | 26 | 421.703458 | 9,430 | 1 | 12.043593 | 433.747051 |
2 | 1,3,4,5,6,7,8,9 | 2 | 20 | online | 42 | 154,812 | 21 | 746.418189 | 19,320 | 5 | 32.579109 | 778.997298 |
2 | 1,3,4,5,6,7,8,9 | 2 | 20 | online | 123 | 154,812 | 25 | 838.621162 | 19,320 | 2 | 26.446782 | 865.067944 |
2 | 1,3,4,5,6,7,8,9 | 2 | 20 | online | 2,024 | 154,812 | 41 | 1,182.082117 | 19,320 | 1 | 24.257527 | 1,206.339644 |
2 | 1,3,4,5,6,7,8,9 | 2 | 25 | online | 42 | 186,140 | 14 | 697.577424 | 23,230 | 13 | 57.054346 | 754.63177 |
2 | 1,3,4,5,6,7,8,9 | 2 | 25 | online | 123 | 186,140 | 11 | 612.317065 | 23,230 | 2 | 31.314372 | 643.631437 |
2 | 1,3,4,5,6,7,8,9 | 2 | 25 | online | 2,024 | 186,140 | 14 | 700.414627 | 23,230 | 14 | 58.934195 | 759.348821 |
2 | 1,3,4,5,6,7,8,9 | 3 | 10 | online | 42 | 75,560 | 37 | 683.680358 | 9,430 | 7 | 22.43618 | 706.116538 |
2 | 1,3,4,5,6,7,8,9 | 3 | 10 | online | 123 | 75,560 | 41 | 722.555692 | 9,430 | 6 | 19.896855 | 742.452547 |
2 | 1,3,4,5,6,7,8,9 | 3 | 10 | online | 2,024 | 75,560 | 40 | 729.06869 | 9,430 | 9 | 23.116991 | 752.18568 |
2 | 1,3,4,5,6,7,8,9 | 3 | 20 | online | 42 | 154,812 | 31 | 1,227.043908 | 19,320 | 18 | 68.228019 | 1,295.271927 |
2 | 1,3,4,5,6,7,8,9 | 3 | 20 | online | 123 | 154,812 | 18 | 850.524752 | 19,320 | 9 | 47.099281 | 897.624033 |
2 | 1,3,4,5,6,7,8,9 | 3 | 20 | online | 2,024 | 154,812 | 21 | 939.281111 | 19,320 | 4 | 36.183429 | 975.46454 |
2 | 1,3,4,5,6,7,8,9 | 3 | 25 | online | 42 | 186,140 | 19 | 1,049.772839 | 23,230 | 22 | 92.305983 | 1,142.078822 |
2 | 1,3,4,5,6,7,8,9 | 3 | 25 | online | 123 | 186,140 | 8 | 671.133471 | 23,230 | 23 | 94.51241 | 765.645881 |
2 | 1,3,4,5,6,7,8,9 | 3 | 25 | online | 2,024 | 186,140 | 20 | 1,083.427868 | 23,230 | 1 | 35.24691 | 1,118.674778 |
2 | 1,3,4,5,6,7,8,9 | 4 | null | offline | 42 | 1,843 | 45 | 19.770641 | 230 | 13 | 0.831005 | 20.601645 |
2 | 1,3,4,5,6,7,8,9 | 4 | null | offline | 123 | 1,843 | 48 | 19.797259 | 230 | 22 | 1.128752 | 20.926011 |
2 | 1,3,4,5,6,7,8,9 | 4 | null | offline | 2,024 | 1,843 | 38 | 19.021954 | 230 | 17 | 0.958867 | 19.980821 |
3 | 1,2,4,5,6,7,8,9 | 1 | 10 | online | 42 | 75,560 | 11 | 209.61167 | 9,430 | 17 | 23.653272 | 233.264942 |
3 | 1,2,4,5,6,7,8,9 | 1 | 10 | online | 123 | 75,560 | 46 | 475.991807 | 9,430 | 10 | 17.369128 | 493.360935 |
3 | 1,2,4,5,6,7,8,9 | 1 | 10 | online | 2,024 | 75,560 | 24 | 329.849115 | 9,430 | 13 | 20.109366 | 349.958481 |
3 | 1,2,4,5,6,7,8,9 | 1 | 20 | online | 42 | 154,812 | 8 | 365.017186 | 19,320 | 10 | 35.026551 | 400.043737 |
3 | 1,2,4,5,6,7,8,9 | 1 | 20 | online | 123 | 154,812 | 24 | 666.186308 | 19,320 | 20 | 52.031916 | 718.218224 |
3 | 1,2,4,5,6,7,8,9 | 1 | 20 | online | 2,024 | 154,812 | 45 | 970.645136 | 19,320 | 6 | 28.915456 | 999.560592 |
3 | 1,2,4,5,6,7,8,9 | 1 | 25 | online | 42 | 186,140 | 20 | 710.313993 | 23,230 | 21 | 65.409009 | 775.723002 |
3 | 1,2,4,5,6,7,8,9 | 1 | 25 | online | 123 | 186,140 | 21 | 741.243609 | 23,230 | 10 | 42.348528 | 783.592137 |
3 | 1,2,4,5,6,7,8,9 | 1 | 25 | online | 2,024 | 186,140 | 45 | 1,183.293452 | 23,230 | 11 | 44.367691 | 1,227.661142 |
3 | 1,2,4,5,6,7,8,9 | 2 | 10 | online | 42 | 75,560 | 24 | 389.704625 | 9,430 | 27 | 35.884017 | 425.588642 |
3 | 1,2,4,5,6,7,8,9 | 2 | 10 | online | 123 | 75,560 | 25 | 403.466763 | 9,430 | 12 | 22.389551 | 425.856314 |
3 | 1,2,4,5,6,7,8,9 | 2 | 10 | online | 2,024 | 75,560 | 14 | 279.220303 | 9,430 | 9 | 19.318459 | 298.538762 |
3 | 1,2,4,5,6,7,8,9 | 2 | 20 | online | 42 | 154,812 | 21 | 740.261674 | 19,320 | 14 | 49.28304 | 789.544714 |
3 | 1,2,4,5,6,7,8,9 | 2 | 20 | online | 123 | 154,812 | 11 | 511.126822 | 19,320 | 11 | 43.621708 | 554.74853 |
3 | 1,2,4,5,6,7,8,9 | 2 | 20 | online | 2,024 | 154,812 | 24 | 813.349245 | 19,320 | 29 | 78.362676 | 891.711922 |
3 | 1,2,4,5,6,7,8,9 | 2 | 25 | online | 42 | 186,140 | 8 | 532.278328 | 23,230 | 6 | 40.910801 | 573.189129 |
3 | 1,2,4,5,6,7,8,9 | 2 | 25 | online | 123 | 186,140 | 50 | 1,420.358219 | 23,230 | 6 | 40.413312 | 1,460.771532 |
3 | 1,2,4,5,6,7,8,9 | 2 | 25 | online | 2,024 | 186,140 | 50 | 1,418.520196 | 23,230 | 9 | 47.576766 | 1,466.096962 |
3 | 1,2,4,5,6,7,8,9 | 3 | 10 | online | 42 | 75,560 | 48 | 721.945512 | 9,430 | 5 | 18.647108 | 740.592619 |
3 | 1,2,4,5,6,7,8,9 | 3 | 10 | online | 123 | 75,560 | 19 | 422.921373 | 9,430 | 14 | 28.478003 | 451.399376 |
3 | 1,2,4,5,6,7,8,9 | 3 | 10 | online | 2,024 | 75,560 | 14 | 356.082248 | 9,430 | 3 | 16.494641 | 372.576889 |
3 | 1,2,4,5,6,7,8,9 | 3 | 20 | online | 42 | 154,812 | 10 | 611.962383 | 19,320 | 10 | 49.227319 | 661.189702 |
3 | 1,2,4,5,6,7,8,9 | 3 | 20 | online | 123 | 154,812 | 8 | 560.775858 | 19,320 | 13 | 55.398013 | 616.173871 |
3 | 1,2,4,5,6,7,8,9 | 3 | 20 | online | 2,024 | 154,812 | 11 | 640.028079 | 19,320 | 22 | 75.894416 | 715.922495 |
3 | 1,2,4,5,6,7,8,9 | 3 | 25 | online | 42 | 186,140 | 11 | 771.9267 | 23,230 | 17 | 79.92479 | 851.851491 |
3 | 1,2,4,5,6,7,8,9 | 3 | 25 | online | 123 | 186,140 | 12 | 805.753799 | 23,230 | 2 | 38.334419 | 844.088218 |
3 | 1,2,4,5,6,7,8,9 | 3 | 25 | online | 2,024 | 186,140 | 32 | 1,495.289689 | 23,230 | 9 | 55.836299 | 1,551.125988 |
3 | 1,2,4,5,6,7,8,9 | 4 | null | offline | 42 | 1,843 | 50 | 19.669382 | 230 | 50 | 1.72336 | 21.392741 |
3 | 1,2,4,5,6,7,8,9 | 4 | null | offline | 123 | 1,843 | 43 | 19.644705 | 230 | 39 | 1.679818 | 21.324522 |
3 | 1,2,4,5,6,7,8,9 | 4 | null | offline | 2,024 | 1,843 | 44 | 19.607597 | 230 | 50 | 1.726095 | 21.333691 |
4 | 1,2,3,5,6,7,8,9 | 1 | 10 | online | 42 | 75,560 | 48 | 483.379399 | 9,430 | 21 | 26.587064 | 509.966463 |
4 | 1,2,3,5,6,7,8,9 | 1 | 10 | online | 123 | 75,560 | 15 | 245.300925 | 9,430 | 19 | 24.627774 | 269.928698 |
4 | 1,2,3,5,6,7,8,9 | 1 | 10 | online | 2,024 | 75,560 | 49 | 480.58775 | 9,430 | 10 | 17.186754 | 497.774505 |
4 | 1,2,3,5,6,7,8,9 | 1 | 20 | online | 42 | 154,812 | 27 | 730.680733 | 19,320 | 3 | 23.464338 | 754.145071 |
4 | 1,2,3,5,6,7,8,9 | 1 | 20 | online | 123 | 154,812 | 34 | 860.999677 | 19,320 | 20 | 52.835391 | 913.835068 |
4 | 1,2,3,5,6,7,8,9 | 1 | 20 | online | 2,024 | 154,812 | 32 | 811.947206 | 19,320 | 2 | 22.041174 | 833.98838 |
4 | 1,2,3,5,6,7,8,9 | 1 | 25 | online | 42 | 186,140 | 8 | 428.408986 | 23,230 | 14 | 49.505997 | 477.914984 |
4 | 1,2,3,5,6,7,8,9 | 1 | 25 | online | 123 | 186,140 | 45 | 1,147.133167 | 23,230 | 5 | 31.850324 | 1,178.983491 |
4 | 1,2,3,5,6,7,8,9 | 1 | 25 | online | 2,024 | 186,140 | 39 | 1,127.131395 | 23,230 | 11 | 43.580769 | 1,170.712165 |
4 | 1,2,3,5,6,7,8,9 | 2 | 10 | online | 42 | 75,560 | 46 | 556.368503 | 9,430 | 9 | 18.967296 | 575.335799 |
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