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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 9 new columns ({'test_f1_raw_best_raw', 'best_val_f1_ema_tta', 'best_epoch_ema_tta', 'model', 'test_acc_raw_best_raw', 'test_acc_ema_tta_best_ema', 'best_val_f1_raw', 'best_epoch_raw', 'test_f1_ema_tta_best_ema'}) and 17 missing columns ({'train_f1', 'train_qmf', 'val_acc_raw', 'val_f1_raw', 'val_f1_ema_tta', 'lambda_wc', 'train_ce', 'train_corr', 'lr', 'train_loss', 'train_acc', 'train_wc', 'val_loss_raw', 'val_loss_ema_tta', 'val_acc_ema_tta', 'epoch_time_sec', 'train_norm'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/final_raw_vs_ema_tta_summary.csv (at revision e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b), [/tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/FixedDWT_CNN_history.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/FixedDWT_CNN_history.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LDWCNet_Full_history.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LDWCNet_Full_history.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LearnDWT_NoLwc_history.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LearnDWT_NoLwc_history.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LearnDWT_SE_NoLwc_history.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LearnDWT_SE_NoLwc_history.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/PlainCNN_history.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/PlainCNN_history.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/final_raw_vs_ema_tta_summary.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/final_raw_vs_ema_tta_summary.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/model_parameter_counts.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/model_parameter_counts.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/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
model: string
best_val_f1_raw: double
best_epoch_raw: int64
test_acc_raw_best_raw: double
test_f1_raw_best_raw: double
best_val_f1_ema_tta: double
best_epoch_ema_tta: int64
test_acc_ema_tta_best_ema: double
test_f1_ema_tta_best_ema: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1481
to
{'train_loss': Value('float64'), 'train_ce': Value('float64'), 'train_wc': Value('float64'), 'train_qmf': Value('float64'), 'train_norm': Value('float64'), 'train_corr': Value('float64'), 'train_acc': Value('float64'), 'train_f1': Value('float64'), 'lambda_wc': Value('float64'), 'lr': Value('float64'), 'val_loss_raw': Value('float64'), 'val_acc_raw': Value('float64'), 'val_f1_raw': Value('float64'), 'val_loss_ema_tta': Value('float64'), 'val_acc_ema_tta': Value('float64'), 'val_f1_ema_tta': Value('float64'), 'epoch_time_sec': 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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 9 new columns ({'test_f1_raw_best_raw', 'best_val_f1_ema_tta', 'best_epoch_ema_tta', 'model', 'test_acc_raw_best_raw', 'test_acc_ema_tta_best_ema', 'best_val_f1_raw', 'best_epoch_raw', 'test_f1_ema_tta_best_ema'}) and 17 missing columns ({'train_f1', 'train_qmf', 'val_acc_raw', 'val_f1_raw', 'val_f1_ema_tta', 'lambda_wc', 'train_ce', 'train_corr', 'lr', 'train_loss', 'train_acc', 'train_wc', 'val_loss_raw', 'val_loss_ema_tta', 'val_acc_ema_tta', 'epoch_time_sec', 'train_norm'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/final_raw_vs_ema_tta_summary.csv (at revision e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b), [/tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/FixedDWT_CNN_history.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/FixedDWT_CNN_history.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LDWCNet_Full_history.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LDWCNet_Full_history.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LearnDWT_NoLwc_history.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LearnDWT_NoLwc_history.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LearnDWT_SE_NoLwc_history.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/LearnDWT_SE_NoLwc_history.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/PlainCNN_history.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/PlainCNN_history.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/final_raw_vs_ema_tta_summary.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/final_raw_vs_ema_tta_summary.csv), /tmp/hf-datasets-cache/medium/datasets/65693491076903-config-parquet-and-info-Shanmuk4622-ldwcnet-brain-ad4806d0/hub/datasets--Shanmuk4622--ldwcnet-brain-mri-4/snapshots/e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/model_parameter_counts.csv (origin=hf://datasets/Shanmuk4622/ldwcnet-brain-mri-4@e4ad3eeffb0a0431b6cf42ddcbb89a5302659d0b/runs/ldwcnet_v5_stronger_clean_ablation/training_logs/model_parameter_counts.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.
train_loss float64 | train_ce float64 | train_wc float64 | train_qmf float64 | train_norm float64 | train_corr float64 | train_acc float64 | train_f1 float64 | lambda_wc float64 | lr float64 | val_loss_raw float64 | val_acc_raw float64 | val_f1_raw float64 | val_loss_ema_tta float64 | val_acc_ema_tta float64 | val_f1_ema_tta float64 | epoch_time_sec float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1.339232 | 1.339232 | 0 | 0 | 0 | 0 | 0.364692 | 0.32829 | 0 | 0.000019 | 1.190067 | 0.519164 | 0.475423 | null | null | null | 43.788124 |
1.264744 | 1.264744 | 0 | 0 | 0 | 0 | 0.418893 | 0.403597 | 0 | 0.00004 | 1.064463 | 0.599303 | 0.572252 | null | null | null | 30.051063 |
1.208514 | 1.208514 | 0 | 0 | 0 | 0 | 0.44367 | 0.427374 | 0 | 0.000072 | 1.019125 | 0.606272 | 0.552935 | null | null | null | 29.753688 |
1.167369 | 1.167369 | 0 | 0 | 0 | 0 | 0.464189 | 0.450217 | 0 | 0.000112 | 0.950356 | 0.630662 | 0.610286 | null | null | null | 29.980831 |
1.143664 | 1.143664 | 0 | 0 | 0 | 0 | 0.489353 | 0.479456 | 0 | 0.000156 | 0.923753 | 0.644599 | 0.646421 | 0.927179 | 0.623693 | 0.594049 | 33.260787 |
1.086161 | 1.086161 | 0 | 0 | 0 | 0 | 0.536585 | 0.527787 | 0 | 0.000201 | 1.502102 | 0.41115 | 0.327144 | 0.871792 | 0.648084 | 0.629315 | 32.26631 |
1.076911 | 1.076911 | 0 | 0 | 0 | 0 | 0.544328 | 0.536273 | 0 | 0.000241 | 1.920092 | 0.355401 | 0.268727 | 0.853351 | 0.66899 | 0.653119 | 32.273505 |
1.058342 | 1.058342 | 0 | 0 | 0 | 0 | 0.525358 | 0.518029 | 0 | 0.000273 | 0.872363 | 0.696864 | 0.687645 | 0.831564 | 0.679443 | 0.662177 | 31.97934 |
1.056582 | 1.056582 | 0 | 0 | 0 | 0 | 0.539295 | 0.531075 | 0 | 0.000293 | 0.980645 | 0.56446 | 0.542422 | 0.804117 | 0.703833 | 0.69366 | 32.065644 |
1.014691 | 1.014691 | 0 | 0 | 0 | 0 | 0.569493 | 0.565702 | 0 | 0.0003 | 1.052828 | 0.533101 | 0.510194 | 0.785291 | 0.707317 | 0.695701 | 32.125255 |
1.013973 | 1.013973 | 0 | 0 | 0 | 0 | 0.554394 | 0.550623 | 0 | 0.0003 | 0.842362 | 0.735192 | 0.72352 | 0.780143 | 0.707317 | 0.693939 | 32.137264 |
1.03269 | 1.03269 | 0 | 0 | 0 | 0 | 0.561363 | 0.557774 | 0 | 0.0003 | 0.783832 | 0.700348 | 0.685033 | 0.766564 | 0.735192 | 0.72469 | 32.236063 |
1.016418 | 1.016418 | 0 | 0 | 0 | 0 | 0.558653 | 0.552064 | 0 | 0.000299 | 0.749774 | 0.749129 | 0.746699 | 0.759731 | 0.707317 | 0.694667 | 32.336086 |
0.929892 | 0.929892 | 0 | 0 | 0 | 0 | 0.615176 | 0.611345 | 0 | 0.000299 | 0.954668 | 0.599303 | 0.562903 | 0.73731 | 0.735192 | 0.726275 | 32.275968 |
0.93145 | 0.93145 | 0 | 0 | 0 | 0 | 0.638792 | 0.637081 | 0 | 0.000298 | 0.690029 | 0.74216 | 0.729833 | 0.728917 | 0.724739 | 0.714067 | 32.381032 |
0.928693 | 0.928693 | 0 | 0 | 0 | 0 | 0.614402 | 0.612953 | 0 | 0.000297 | 0.779349 | 0.672474 | 0.665742 | 0.718119 | 0.735192 | 0.722137 | 32.67515 |
0.906685 | 0.906685 | 0 | 0 | 0 | 0 | 0.636469 | 0.632575 | 0 | 0.000296 | 0.694752 | 0.752613 | 0.737188 | 0.692827 | 0.735192 | 0.720439 | 32.533457 |
0.913961 | 0.913961 | 0 | 0 | 0 | 0 | 0.652729 | 0.651255 | 0 | 0.000294 | 0.686905 | 0.794425 | 0.782566 | 0.687558 | 0.756098 | 0.743347 | 32.524372 |
0.828117 | 0.828117 | 0 | 0 | 0 | 0 | 0.658537 | 0.65155 | 0 | 0.000293 | 0.686596 | 0.766551 | 0.746572 | 0.665019 | 0.763066 | 0.746202 | 32.728522 |
0.875181 | 0.875181 | 0 | 0 | 0 | 0 | 0.598529 | 0.595943 | 0 | 0.000291 | 0.955729 | 0.644599 | 0.653191 | 0.640159 | 0.770035 | 0.75712 | 32.526091 |
0.889988 | 0.889988 | 0 | 0 | 0 | 0 | 0.594657 | 0.586029 | 0 | 0.000289 | 0.696941 | 0.790941 | 0.78664 | 0.634673 | 0.790941 | 0.782188 | 32.427736 |
0.839643 | 0.839643 | 0 | 0 | 0 | 0 | 0.699961 | 0.699611 | 0 | 0.000287 | 0.686196 | 0.770035 | 0.741152 | 0.627648 | 0.797909 | 0.789975 | 32.464702 |
0.826537 | 0.826537 | 0 | 0 | 0 | 0 | 0.645761 | 0.643125 | 0 | 0.000285 | 0.643928 | 0.797909 | 0.799068 | 0.619544 | 0.804878 | 0.797121 | 32.470361 |
0.786732 | 0.786732 | 0 | 0 | 0 | 0 | 0.69338 | 0.690861 | 0 | 0.000282 | 0.786403 | 0.707317 | 0.715424 | 0.609391 | 0.8223 | 0.811565 | 32.250384 |
0.831377 | 0.831377 | 0 | 0 | 0 | 0 | 0.660472 | 0.658522 | 0 | 0.00028 | 0.65031 | 0.811847 | 0.822363 | 0.59913 | 0.832753 | 0.824021 | 32.554003 |
0.814202 | 0.814202 | 0 | 0 | 0 | 0 | 0.691057 | 0.686539 | 0 | 0.000277 | 0.556416 | 0.843206 | 0.839118 | 0.594934 | 0.829268 | 0.82287 | 32.49767 |
0.861158 | 0.861158 | 0 | 0 | 0 | 0 | 0.634146 | 0.630394 | 0 | 0.000274 | 0.615463 | 0.825784 | 0.827848 | 0.580472 | 0.836237 | 0.833773 | 32.553932 |
0.809545 | 0.809545 | 0 | 0 | 0 | 0 | 0.671312 | 0.66494 | 0 | 0.000271 | 0.593519 | 0.815331 | 0.818912 | 0.574936 | 0.832753 | 0.82946 | 32.557716 |
0.784908 | 0.784908 | 0 | 0 | 0 | 0 | 0.726287 | 0.726166 | 0 | 0.000268 | 0.5466 | 0.874564 | 0.874651 | 0.568157 | 0.836237 | 0.834284 | 32.59917 |
0.808065 | 0.808065 | 0 | 0 | 0 | 0 | 0.684863 | 0.684725 | 0 | 0.000265 | 0.73004 | 0.735192 | 0.689787 | 0.563479 | 0.84669 | 0.844672 | 32.547695 |
0.827527 | 0.827527 | 0 | 0 | 0 | 0 | 0.66899 | 0.667289 | 0 | 0.000261 | 0.546536 | 0.843206 | 0.834985 | 0.558617 | 0.850174 | 0.850216 | 32.521093 |
0.761518 | 0.761518 | 0 | 0 | 0 | 0 | 0.70964 | 0.707554 | 0 | 0.000258 | 0.580083 | 0.84669 | 0.84765 | 0.550783 | 0.857143 | 0.856093 | 32.523278 |
0.772935 | 0.772935 | 0 | 0 | 0 | 0 | 0.703446 | 0.701387 | 0 | 0.000254 | 0.518582 | 0.87108 | 0.867905 | 0.543375 | 0.860627 | 0.860958 | 32.23701 |
0.829425 | 0.829425 | 0 | 0 | 0 | 0 | 0.676345 | 0.675868 | 0 | 0.00025 | 0.539762 | 0.839721 | 0.847313 | 0.539787 | 0.867596 | 0.867202 | 32.624928 |
0.771595 | 0.771595 | 0 | 0 | 0 | 0 | 0.660085 | 0.657401 | 0 | 0.000246 | 0.503614 | 0.860627 | 0.860217 | 0.532913 | 0.874564 | 0.875048 | 32.535853 |
0.799344 | 0.799344 | 0 | 0 | 0 | 0 | 0.639179 | 0.638868 | 0 | 0.000242 | 0.525066 | 0.878049 | 0.878577 | 0.527659 | 0.878049 | 0.878371 | 32.340669 |
0.743913 | 0.743913 | 0 | 0 | 0 | 0 | 0.719706 | 0.713741 | 0 | 0.000238 | 0.539192 | 0.84669 | 0.855256 | 0.520034 | 0.878049 | 0.878097 | 32.347856 |
0.726636 | 0.726636 | 0 | 0 | 0 | 0 | 0.722803 | 0.721791 | 0 | 0.000234 | 0.498214 | 0.898955 | 0.897861 | 0.5157 | 0.881533 | 0.881341 | 32.339191 |
0.767592 | 0.767592 | 0 | 0 | 0 | 0 | 0.699187 | 0.699578 | 0 | 0.000229 | 0.499076 | 0.909408 | 0.909131 | 0.50996 | 0.888502 | 0.887791 | 32.392696 |
0.734409 | 0.734409 | 0 | 0 | 0 | 0 | 0.673248 | 0.668091 | 0 | 0.000225 | 0.51264 | 0.874564 | 0.877183 | 0.506194 | 0.888502 | 0.887114 | 32.289156 |
0.707762 | 0.707762 | 0 | 0 | 0 | 0 | 0.72048 | 0.71633 | 0 | 0.00022 | 0.472288 | 0.905923 | 0.902394 | 0.502318 | 0.888502 | 0.889043 | 32.410294 |
0.757553 | 0.757553 | 0 | 0 | 0 | 0 | 0.737902 | 0.733558 | 0 | 0.000216 | 0.532375 | 0.853659 | 0.858118 | 0.497692 | 0.891986 | 0.89201 | 32.328351 |
0.73605 | 0.73605 | 0 | 0 | 0 | 0 | 0.741773 | 0.739019 | 0 | 0.000211 | 0.521469 | 0.87108 | 0.874564 | 0.492002 | 0.89547 | 0.894976 | 32.477234 |
0.756097 | 0.756097 | 0 | 0 | 0 | 0 | 0.698026 | 0.694737 | 0 | 0.000206 | 0.604034 | 0.836237 | 0.845001 | 0.487755 | 0.888502 | 0.889084 | 32.375031 |
0.687633 | 0.687633 | 0 | 0 | 0 | 0 | 0.758033 | 0.757464 | 0 | 0.000201 | 0.512158 | 0.860627 | 0.865951 | 0.482659 | 0.898955 | 0.900575 | 32.199176 |
0.655316 | 0.655316 | 0 | 0 | 0 | 0 | 0.780488 | 0.780632 | 0 | 0.000196 | 0.461217 | 0.881533 | 0.887188 | 0.477787 | 0.902439 | 0.905354 | 32.244818 |
0.643435 | 0.643435 | 0 | 0 | 0 | 0 | 0.782424 | 0.780489 | 0 | 0.000191 | 0.438661 | 0.923345 | 0.926229 | 0.471847 | 0.898955 | 0.902165 | 32.394774 |
0.711977 | 0.711977 | 0 | 0 | 0 | 0 | 0.755323 | 0.758373 | 0 | 0.000186 | 0.483673 | 0.881533 | 0.887581 | 0.466561 | 0.898955 | 0.902165 | 32.214464 |
0.696164 | 0.696164 | 0 | 0 | 0 | 0 | 0.739837 | 0.737366 | 0 | 0.000181 | 0.460174 | 0.888502 | 0.883757 | 0.461942 | 0.902439 | 0.905489 | 32.491417 |
0.657507 | 0.657507 | 0 | 0 | 0 | 0 | 0.777778 | 0.776966 | 0 | 0.000176 | 0.4518 | 0.898955 | 0.902219 | 0.45955 | 0.909408 | 0.911637 | 32.316127 |
0.716327 | 0.716327 | 0 | 0 | 0 | 0 | 0.747967 | 0.745096 | 0 | 0.000171 | 0.476795 | 0.888502 | 0.890799 | 0.45839 | 0.909408 | 0.911637 | 32.426458 |
0.632111 | 0.632111 | 0 | 0 | 0 | 0 | 0.755323 | 0.749512 | 0 | 0.000166 | 0.453973 | 0.881533 | 0.879496 | 0.45451 | 0.909408 | 0.911637 | 32.322399 |
0.713823 | 0.713823 | 0 | 0 | 0 | 0 | 0.72319 | 0.719103 | 0 | 0.00016 | 0.43696 | 0.898955 | 0.901822 | 0.449801 | 0.912892 | 0.914793 | 32.37574 |
0.618302 | 0.618302 | 0 | 0 | 0 | 0 | 0.814557 | 0.813995 | 0 | 0.000155 | 0.440935 | 0.902439 | 0.907354 | 0.448246 | 0.909408 | 0.911637 | 32.51909 |
0.652219 | 0.652219 | 0 | 0 | 0 | 0 | 0.780875 | 0.778345 | 0 | 0.00015 | 0.462945 | 0.902439 | 0.907563 | 0.444846 | 0.916376 | 0.91778 | 32.248527 |
0.697088 | 0.697088 | 0 | 0 | 0 | 0 | 0.767712 | 0.766126 | 0 | 0.000145 | 0.482204 | 0.891986 | 0.895659 | 0.442929 | 0.912892 | 0.914621 | 32.268813 |
0.714283 | 0.714283 | 0 | 0 | 0 | 0 | 0.756098 | 0.751199 | 0 | 0.000139 | 0.435555 | 0.902439 | 0.90982 | 0.439709 | 0.912892 | 0.914621 | 32.234739 |
0.642934 | 0.642934 | 0 | 0 | 0 | 0 | 0.710027 | 0.708076 | 0 | 0.000134 | 0.432935 | 0.909408 | 0.914903 | 0.437978 | 0.912892 | 0.914776 | 32.147324 |
0.680782 | 0.680782 | 0 | 0 | 0 | 0 | 0.773519 | 0.771732 | 0 | 0.000129 | 0.457377 | 0.89547 | 0.89928 | 0.436007 | 0.912892 | 0.914776 | 32.53311 |
0.708215 | 0.708215 | 0 | 0 | 0 | 0 | 0.73132 | 0.733177 | 0 | 0.000124 | 0.423195 | 0.926829 | 0.927617 | 0.434122 | 0.912892 | 0.914776 | 32.313513 |
0.628049 | 0.628049 | 0 | 0 | 0 | 0 | 0.749903 | 0.747646 | 0 | 0.000119 | 0.423908 | 0.905923 | 0.908721 | 0.432028 | 0.912892 | 0.914776 | 32.200433 |
0.653047 | 0.653047 | 0 | 0 | 0 | 0 | 0.798297 | 0.798596 | 0 | 0.000114 | 0.419409 | 0.923345 | 0.92594 | 0.42951 | 0.912892 | 0.914776 | 32.242952 |
0.646244 | 0.646244 | 0 | 0 | 0 | 0 | 0.75029 | 0.747266 | 0 | 0.000109 | 0.414091 | 0.919861 | 0.921033 | 0.429054 | 0.912892 | 0.914776 | 32.252535 |
0.616954 | 0.616954 | 0 | 0 | 0 | 0 | 0.754162 | 0.751747 | 0 | 0.000104 | 0.402782 | 0.923345 | 0.925744 | 0.426855 | 0.912892 | 0.914776 | 32.08885 |
0.71923 | 0.71923 | 0 | 0 | 0 | 0 | 0.771196 | 0.769597 | 0 | 0.000099 | 0.40952 | 0.919861 | 0.921359 | 0.425602 | 0.916376 | 0.917921 | 32.002861 |
0.617743 | 0.617743 | 0 | 0 | 0 | 0 | 0.817267 | 0.820503 | 0 | 0.000094 | 0.402233 | 0.926829 | 0.929134 | 0.422831 | 0.916376 | 0.918064 | 32.108405 |
0.678828 | 0.678828 | 0 | 0 | 0 | 0 | 0.746806 | 0.745221 | 0 | 0.000089 | 0.397362 | 0.919861 | 0.92312 | 0.421437 | 0.919861 | 0.921055 | 31.950709 |
0.650424 | 0.650424 | 0 | 0 | 0 | 0 | 0.75842 | 0.756963 | 0 | 0.000084 | 0.404691 | 0.919861 | 0.921248 | 0.419478 | 0.919861 | 0.921055 | 31.995376 |
0.71272 | 0.71272 | 0 | 0 | 0 | 0 | 0.743322 | 0.743494 | 0 | 0.000079 | 0.404872 | 0.926829 | 0.930815 | 0.417979 | 0.919861 | 0.921055 | 32.076267 |
0.602908 | 0.602908 | 0 | 0 | 0 | 0 | 0.793651 | 0.793685 | 0 | 0.000075 | 0.421245 | 0.909408 | 0.911459 | 0.415193 | 0.919861 | 0.921055 | 31.880331 |
0.623484 | 0.623484 | 0 | 0 | 0 | 0 | 0.770422 | 0.769861 | 0 | 0.00007 | 0.401046 | 0.926829 | 0.928964 | 0.413301 | 0.923345 | 0.92418 | 31.938283 |
0.613846 | 0.613846 | 0 | 0 | 0 | 0 | 0.830043 | 0.828882 | 0 | 0.000066 | 0.400473 | 0.930314 | 0.930734 | 0.411145 | 0.923345 | 0.92418 | 32.033919 |
0.65347 | 0.65347 | 0 | 0 | 0 | 0 | 0.777003 | 0.775494 | 0 | 0.000062 | 0.425878 | 0.912892 | 0.916642 | 0.408963 | 0.919861 | 0.921187 | 32.075456 |
0.634929 | 0.634929 | 0 | 0 | 0 | 0 | 0.82772 | 0.828284 | 0 | 0.000058 | 0.395132 | 0.937282 | 0.936468 | 0.408087 | 0.919861 | 0.921187 | 32.148606 |
0.608223 | 0.608223 | 0 | 0 | 0 | 0 | 0.791328 | 0.791731 | 0 | 0.000054 | 0.382622 | 0.930314 | 0.932387 | 0.406005 | 0.919861 | 0.921187 | 31.793581 |
0.635014 | 0.635014 | 0 | 0 | 0 | 0 | 0.751452 | 0.748531 | 0 | 0.00005 | 0.388268 | 0.940767 | 0.941231 | 0.404119 | 0.923345 | 0.92418 | 32.07875 |
0.578612 | 0.578612 | 0 | 0 | 0 | 0 | 0.818041 | 0.816739 | 0 | 0.000046 | 0.395022 | 0.926829 | 0.929144 | 0.403698 | 0.923345 | 0.92418 | 32.323709 |
0.670035 | 0.670035 | 0 | 0 | 0 | 0 | 0.772745 | 0.77006 | 0 | 0.000042 | 0.404547 | 0.926829 | 0.930214 | 0.401961 | 0.923345 | 0.92418 | 32.272781 |
0.647396 | 0.647396 | 0 | 0 | 0 | 0 | 0.740999 | 0.738107 | 0 | 0.000038 | 0.399914 | 0.916376 | 0.919704 | 0.401884 | 0.923345 | 0.924428 | 32.429178 |
0.651719 | 0.651719 | 0 | 0 | 0 | 0 | 0.76113 | 0.757569 | 0 | 0.000035 | 0.383759 | 0.933798 | 0.936686 | 0.400322 | 0.923345 | 0.924428 | 32.49269 |
0.599374 | 0.599374 | 0 | 0 | 0 | 0 | 0.761518 | 0.760666 | 0 | 0.000032 | 0.39305 | 0.923345 | 0.927538 | 0.39926 | 0.923345 | 0.924428 | 32.434525 |
0.636632 | 0.636632 | 0 | 0 | 0 | 0 | 0.766163 | 0.763586 | 0 | 0.000029 | 0.387373 | 0.940767 | 0.943157 | 0.398033 | 0.923345 | 0.924428 | 32.168988 |
0.708201 | 0.708201 | 0 | 0 | 0 | 0 | 0.720093 | 0.719928 | 0 | 0.000026 | 0.400025 | 0.916376 | 0.918886 | 0.397348 | 0.923345 | 0.924428 | 32.358598 |
0.642909 | 0.642909 | 0 | 0 | 0 | 0 | 0.785521 | 0.784447 | 0 | 0.000023 | 0.396102 | 0.930314 | 0.933801 | 0.396587 | 0.923345 | 0.924428 | 32.475443 |
0.614661 | 0.614661 | 0 | 0 | 0 | 0 | 0.785521 | 0.78506 | 0 | 0.00002 | 0.390199 | 0.930314 | 0.932387 | 0.396525 | 0.923345 | 0.924428 | 32.388015 |
0.672344 | 0.672344 | 0 | 0 | 0 | 0 | 0.70422 | 0.700042 | 0 | 0.000018 | 0.392329 | 0.930314 | 0.933801 | 0.395673 | 0.923345 | 0.924428 | 32.556079 |
0.664446 | 0.664446 | 0 | 0 | 0 | 0 | 0.774293 | 0.774352 | 0 | 0.000015 | 0.39154 | 0.930314 | 0.933934 | 0.394707 | 0.923345 | 0.924428 | 32.702639 |
0.578968 | 0.578968 | 0 | 0 | 0 | 0 | 0.819202 | 0.818845 | 0 | 0.000013 | 0.386102 | 0.930314 | 0.933801 | 0.394119 | 0.923345 | 0.924428 | 32.322469 |
0.65317 | 0.65317 | 0 | 0 | 0 | 0 | 0.775455 | 0.775189 | 0 | 0.000011 | 0.38319 | 0.937282 | 0.939984 | 0.39313 | 0.923345 | 0.924428 | 32.400383 |
0.550413 | 0.550413 | 0 | 0 | 0 | 0 | 0.805652 | 0.804099 | 0 | 0.000009 | 0.387007 | 0.933798 | 0.936712 | 0.392425 | 0.923345 | 0.924428 | 32.232689 |
0.624422 | 0.624422 | 0 | 0 | 0 | 0 | 0.777003 | 0.774535 | 0 | 0.000007 | 0.382215 | 0.937282 | 0.939851 | 0.391678 | 0.923345 | 0.924428 | 32.09181 |
0.704077 | 0.704077 | 0 | 0 | 0 | 0 | 0.705768 | 0.703569 | 0 | 0.000006 | 0.385534 | 0.930314 | 0.932387 | 0.390995 | 0.923345 | 0.924428 | 32.119109 |
0.611711 | 0.611711 | 0 | 0 | 0 | 0 | 0.794812 | 0.790993 | 0 | 0.000004 | 0.390193 | 0.926829 | 0.930815 | 0.39074 | 0.923345 | 0.924428 | 32.456862 |
0.597 | 0.597 | 0 | 0 | 0 | 0 | 0.806814 | 0.807564 | 0 | 0.000003 | 0.383795 | 0.937282 | 0.938606 | 0.390414 | 0.923345 | 0.924428 | 32.260578 |
0.64177 | 0.64177 | 0 | 0 | 0 | 0 | 0.791715 | 0.788853 | 0 | 0.000002 | 0.387952 | 0.933798 | 0.935388 | 0.390016 | 0.923345 | 0.924428 | 32.313787 |
0.625394 | 0.625394 | 0 | 0 | 0 | 0 | 0.723964 | 0.721262 | 0 | 0.000001 | 0.386728 | 0.933798 | 0.935388 | 0.389755 | 0.923345 | 0.924428 | 32.192611 |
0.578978 | 0.578978 | 0 | 0 | 0 | 0 | 0.759582 | 0.764916 | 0 | 0.000001 | 0.384292 | 0.930314 | 0.933934 | 0.389713 | 0.923345 | 0.924428 | 32.665846 |
0.552539 | 0.552539 | 0 | 0 | 0 | 0 | 0.83856 | 0.837107 | 0 | 0 | 0.387307 | 0.933798 | 0.936934 | 0.389729 | 0.923345 | 0.924428 | 33.852554 |
0.701683 | 0.701683 | 0 | 0 | 0 | 0 | 0.733256 | 0.733207 | 0 | 0 | 0.389057 | 0.933798 | 0.936934 | 0.389406 | 0.926829 | 0.927424 | 33.346447 |
0.628557 | 0.628557 | 0 | 0 | 0 | 0 | 0.770422 | 0.769214 | 0 | 0 | 0.387635 | 0.930314 | 0.932387 | 0.389304 | 0.926829 | 0.927424 | 33.790924 |
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