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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 ({'ds_seasonality_0', 'z_num_0', 'ds_piecewise_drift_0'}) and 2 missing columns ({'num_1', 't'}).
This happened while the csv dataset builder was generating data using
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'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_1/dyn_streak/dim_1/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_1/dyn_streak/dim_1/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_1/dyn_streak/dim_2/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_1/dyn_streak/dim_2/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_1/dyn_streak/dim_2/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_recency_gap/dim_0/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_recency_gap/dim_0/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_recency_gap/dim_0/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_recency_gap/dim_1/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_recency_gap/dim_1/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_recency_gap/dim_1/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_recency_gap/dim_2/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_recency_gap/dim_2/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_recency_gap/dim_2/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_corr/dim_0/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_corr/dim_0/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_corr/dim_0/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_corr/dim_1/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_corr/dim_1/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_corr/dim_1/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_corr/dim_2/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_corr/dim_2/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_corr/dim_2/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_mean/dim_0/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_mean/dim_0/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_mean/dim_0/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_mean/dim_1/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_mean/dim_1/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_mean/dim_1/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_mean/dim_2/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_mean/dim_2/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_mean/dim_2/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_minmax/dim_0/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_minmax/dim_0/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_minmax/dim_0/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_minmax/dim_1/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_minmax/dim_1/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_minmax/dim_1/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_minmax/dim_2/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_minmax/dim_2/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_minmax/dim_2/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_trend/dim_0/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_trend/dim_0/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_trend/dim_0/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_trend/dim_1/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_trend/dim_1/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_trend/dim_1/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_trend/dim_2/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_trend/dim_2/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_trend/dim_2/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_volatility/dim_0/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_volatility/dim_0/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_volatility/dim_0/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_volatility/dim_1/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_volatility/dim_1/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_volatility/dim_1/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_volatility/dim_2/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_volatility/dim_2/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_rolling_volatility/dim_2/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_streak/dim_0/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_streak/dim_0/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_streak/dim_0/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_streak/dim_1/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_streak/dim_1/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_streak/dim_1/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_streak/dim_2/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_streak/dim_2/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/no_drift/seed_2/dyn_streak/dim_2/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/drift/sample_00__dep_no__dim_2__drift_seasonality+piecewise_drift/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/drift/sample_00__dep_no__dim_2__drift_seasonality+piecewise_drift/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/drift/sample_00__dep_no__dim_2__drift_seasonality+piecewise_drift/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/drift/sample_01__dep_rolling_minmax__dim_0__drift_piecewise_drift/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/drift/sample_01__dep_rolling_minmax__dim_0__drift_piecewise_drift/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/drift/sample_01__dep_rolling_minmax__dim_0__drift_piecewise_drift/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/drift/sample_02__dep_streak__dim_2__drift_seasonality/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/drift/sample_02__dep_streak__dim_2__drift_seasonality/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/drift/sample_02__dep_streak__dim_2__drift_seasonality/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/no_drift/sample_00__dep_rolling_mean__dim_2__drift_none/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/no_drift/sample_00__dep_rolling_mean__dim_2__drift_none/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/no_drift/sample_00__dep_rolling_mean__dim_2__drift_none/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/no_drift/sample_01__dep_recency_gap__dim_0__drift_none/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/no_drift/sample_01__dep_recency_gap__dim_0__drift_none/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/no_drift/sample_01__dep_recency_gap__dim_0__drift_none/y_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/no_drift/sample_02__dep_recency_gap__dim_1__drift_none/observables_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/no_drift/sample_02__dep_recency_gap__dim_1__drift_none/optimal_train.csv', 'hf://datasets/anon-author-tabgen/tabgen@29d9667b3d03b00cf7b3ae314213a838eef85be3/random_samples/no_drift/sample_02__dep_recency_gap__dim_1__drift_none/y_train.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
z_num_0: double
ds_seasonality_0: double
ds_piecewise_drift_0: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 670
to
{'t': Value('float64'), 'num_1': 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 ({'ds_seasonality_0', 'z_num_0', 'ds_piecewise_drift_0'}) and 2 missing columns ({'num_1', 't'}).
This happened while the csv dataset builder was generating data using
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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.
t float64 | num_1 float64 |
|---|---|
0.000023 | -0.83578 |
0.000033 | 0.817821 |
0.000079 | -0.678007 |
0.000108 | 0.336423 |
0.00019 | -0.85901 |
0.000222 | -1.0104 |
0.000248 | 1.767798 |
0.000286 | -0.764499 |
0.000301 | 0.365616 |
0.000306 | -1.510481 |
0.000329 | 0.541551 |
0.000332 | 0.375019 |
0.000338 | 0.273769 |
0.000377 | -0.501634 |
0.000378 | -0.654389 |
0.000381 | 0.14841 |
0.00039 | -0.991797 |
0.000432 | 0.334822 |
0.000448 | 0.748828 |
0.00055 | -1.976284 |
0.000557 | -0.027353 |
0.000587 | -0.386194 |
0.000627 | -1.016518 |
0.000645 | 0.112119 |
0.000686 | 1.884436 |
0.000715 | 0.152343 |
0.000748 | -0.876406 |
0.000749 | -0.283485 |
0.00079 | 1.756337 |
0.000796 | -0.184185 |
0.000881 | -0.096164 |
0.000962 | -0.100432 |
0.000979 | -0.438437 |
0.001051 | 0.722323 |
0.001115 | 0.028045 |
0.00115 | -1.617211 |
0.001236 | -1.084633 |
0.001357 | -0.585727 |
0.001403 | -1.640163 |
0.001444 | -1.677588 |
0.001461 | -0.088863 |
0.001489 | -0.27377 |
0.001566 | 0.761655 |
0.00158 | -2.082584 |
0.001715 | -1.161286 |
0.001805 | 1.233157 |
0.001917 | 0.29247 |
0.001945 | -0.116367 |
0.002048 | 1.613665 |
0.00206 | 0.699992 |
0.0021 | -1.92225 |
0.002101 | -1.081332 |
0.002198 | -0.692697 |
0.002229 | -1.019602 |
0.002341 | 1.532164 |
0.002399 | 0.279691 |
0.002416 | 1.482247 |
0.002424 | -0.112915 |
0.002496 | 1.68959 |
0.002511 | 1.67116 |
0.002524 | 0.928114 |
0.002528 | 0.019521 |
0.002584 | -0.075565 |
0.002584 | -1.041956 |
0.002591 | -0.197374 |
0.002602 | 0.293878 |
0.002636 | 0.445119 |
0.002641 | -1.155778 |
0.002739 | 1.061036 |
0.002782 | 0.175562 |
0.002787 | 1.475766 |
0.002831 | -0.351159 |
0.002834 | 0.89607 |
0.002859 | -1.04533 |
0.002864 | -0.025558 |
0.002873 | -1.807048 |
0.002882 | 2.075346 |
0.002976 | 0.455781 |
0.003109 | -1.348146 |
0.003109 | 0.532165 |
0.003209 | -0.309104 |
0.003221 | 0.082253 |
0.003303 | -0.870357 |
0.003365 | 1.414657 |
0.003433 | -0.270884 |
0.003454 | 1.009038 |
0.003459 | -0.632092 |
0.003481 | 0.277844 |
0.003608 | 0.869361 |
0.003705 | 0.580287 |
0.003735 | -1.357037 |
0.003747 | -1.087203 |
0.003756 | 0.664968 |
0.003762 | -0.088446 |
0.003768 | -0.390961 |
0.003819 | -0.772165 |
0.003821 | 0.847808 |
0.003828 | -1.901226 |
0.003846 | 1.562705 |
0.003876 | -0.135899 |
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