The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 24 new columns ({'Velocidad 16', 'Velocidad 1', 'Velocidad 5', 'Velocidad 9', 'Velocidad 4', 'Velocidad 10', 'Velocidad 21', 'Velocidad 12', 'Velocidad 24', 'Velocidad 2', 'Velocidad 7', 'Velocidad 11', 'Velocidad 23', 'Velocidad 13', 'Velocidad 3', 'Velocidad 6', 'Velocidad 15', 'Velocidad 19', 'Velocidad 17', 'Velocidad 22', 'Velocidad 18', 'Velocidad 20', 'Velocidad 8', 'Velocidad 14'}) and 24 missing columns ({'Sensor 7', 'Sensor 12', 'Sensor 20', 'Sensor 11', 'Sensor 17', 'Sensor 4', 'Sensor 24', 'Sensor 1', 'Sensor 3', 'Sensor 6', 'Sensor 9', 'Sensor 8', 'Sensor 15', 'Sensor 18', 'Sensor 19', 'Sensor 5', 'Sensor 2', 'Sensor 13', 'Sensor 22', 'Sensor 23', 'Sensor 14', 'Sensor 16', 'Sensor 21', 'Sensor 10'}).
This happened while the csv dataset builder was generating data using
hf://datasets/UPNAdrone/WindTunnel/DatasetV2_velocities.csv (at revision e9b35064bda6d15ed9a0dd3229fd34612fbd4c94)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Distancia (cm): double
Ventilador 1: double
Ventilador 2: double
Ventilador 3: double
Ventilador 4: double
Ventilador 5: double
Ventilador 6: double
Ventilador 7: double
Ventilador 8: double
Ventilador 9: double
Ventilador 10: double
Ventilador 11: double
Ventilador 12: double
Ventilador 13: double
Ventilador 14: double
Ventilador 15: double
Ventilador 16: double
Ventilador 17: double
Ventilador 18: double
Ventilador 19: double
Ventilador 20: double
Ventilador 21: double
Ventilador 22: double
Ventilador 23: double
Ventilador 24: double
Velocidad 1: double
Velocidad 2: double
Velocidad 3: double
Velocidad 4: double
Velocidad 5: double
Velocidad 6: double
Velocidad 7: double
Velocidad 8: double
Velocidad 9: double
Velocidad 10: double
Velocidad 11: double
Velocidad 12: double
Velocidad 13: double
Velocidad 14: double
Velocidad 15: double
Velocidad 16: double
Velocidad 17: double
Velocidad 18: double
Velocidad 19: double
Velocidad 20: double
Velocidad 21: double
Velocidad 22: double
Velocidad 23: double
Velocidad 24: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 6404
to
{'Distancia (cm)': Value('float64'), 'Ventilador 1': Value('float64'), 'Ventilador 2': Value('float64'), 'Ventilador 3': Value('float64'), 'Ventilador 4': Value('float64'), 'Ventilador 5': Value('float64'), 'Ventilador 6': Value('float64'), 'Ventilador 7': Value('float64'), 'Ventilador 8': Value('float64'), 'Ventilador 9': Value('float64'), 'Ventilador 10': Value('float64'), 'Ventilador 11': Value('float64'), 'Ventilador 12': Value('float64'), 'Ventilador 13': Value('float64'), 'Ventilador 14': Value('float64'), 'Ventilador 15': Value('float64'), 'Ventilador 16': Value('float64'), 'Ventilador 17': Value('float64'), 'Ventilador 18': Value('float64'), 'Ventilador 19': Value('float64'), 'Ventilador 20': Value('float64'), 'Ventilador 21': Value('float64'), 'Ventilador 22': Value('float64'), 'Ventilador 23': Value('float64'), 'Ventilador 24': Value('float64'), 'Sensor 1': Value('float64'), 'Sensor 2': Value('float64'), 'Sensor 3': Value('float64'), 'Sensor 4': Value('float64'), 'Sensor 5': Value('float64'), 'Sensor 6': Value('float64'), 'Sensor 7': Value('float64'), 'Sensor 8': Value('float64'), 'Sensor 9': Value('float64'), 'Sensor 10': Value('float64'), 'Sensor 11': Value('float64'), 'Sensor 12': Value('float64'), 'Sensor 13': Value('float64'), 'Sensor 14': Value('float64'), 'Sensor 15': Value('float64'), 'Sensor 16': Value('float64'), 'Sensor 17': Value('float64'), 'Sensor 18': Value('float64'), 'Sensor 19': Value('float64'), 'Sensor 20': Value('float64'), 'Sensor 21': Value('float64'), 'Sensor 22': Value('float64'), 'Sensor 23': Value('float64'), 'Sensor 24': 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 1455, 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 1054, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 24 new columns ({'Velocidad 16', 'Velocidad 1', 'Velocidad 5', 'Velocidad 9', 'Velocidad 4', 'Velocidad 10', 'Velocidad 21', 'Velocidad 12', 'Velocidad 24', 'Velocidad 2', 'Velocidad 7', 'Velocidad 11', 'Velocidad 23', 'Velocidad 13', 'Velocidad 3', 'Velocidad 6', 'Velocidad 15', 'Velocidad 19', 'Velocidad 17', 'Velocidad 22', 'Velocidad 18', 'Velocidad 20', 'Velocidad 8', 'Velocidad 14'}) and 24 missing columns ({'Sensor 7', 'Sensor 12', 'Sensor 20', 'Sensor 11', 'Sensor 17', 'Sensor 4', 'Sensor 24', 'Sensor 1', 'Sensor 3', 'Sensor 6', 'Sensor 9', 'Sensor 8', 'Sensor 15', 'Sensor 18', 'Sensor 19', 'Sensor 5', 'Sensor 2', 'Sensor 13', 'Sensor 22', 'Sensor 23', 'Sensor 14', 'Sensor 16', 'Sensor 21', 'Sensor 10'}).
This happened while the csv dataset builder was generating data using
hf://datasets/UPNAdrone/WindTunnel/DatasetV2_velocities.csv (at revision e9b35064bda6d15ed9a0dd3229fd34612fbd4c94)
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.
Distancia (cm)
float64 | Ventilador 1
float64 | Ventilador 2
float64 | Ventilador 3
float64 | Ventilador 4
float64 | Ventilador 5
float64 | Ventilador 6
float64 | Ventilador 7
float64 | Ventilador 8
float64 | Ventilador 9
float64 | Ventilador 10
float64 | Ventilador 11
float64 | Ventilador 12
float64 | Ventilador 13
float64 | Ventilador 14
float64 | Ventilador 15
float64 | Ventilador 16
float64 | Ventilador 17
float64 | Ventilador 18
float64 | Ventilador 19
float64 | Ventilador 20
float64 | Ventilador 21
float64 | Ventilador 22
float64 | Ventilador 23
float64 | Ventilador 24
float64 | Sensor 1
float64 | Sensor 2
float64 | Sensor 3
float64 | Sensor 4
float64 | Sensor 5
float64 | Sensor 6
float64 | Sensor 7
float64 | Sensor 8
float64 | Sensor 9
float64 | Sensor 10
float64 | Sensor 11
float64 | Sensor 12
float64 | Sensor 13
float64 | Sensor 14
float64 | Sensor 15
float64 | Sensor 16
float64 | Sensor 17
float64 | Sensor 18
float64 | Sensor 19
float64 | Sensor 20
float64 | Sensor 21
float64 | Sensor 22
float64 | Sensor 23
float64 | Sensor 24
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 7.571188
| 0.486502
| 10.003698
| -0.395283
| 11.797675
| -0.760159
| -0.243251
| 0.395283
| 0.608128
| -0.243251
| -0.273657
| -0.66894
| 11.767268
| -0.152032
| 11.949707
| 0.364877
| 11.25036
| -0.851379
| -0.33447
| -0.851379
| 0
| -0.760159
| 0.121626
| -0.577721
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 8.027284
| -0.212845
| 11.037516
| -0.699347
| 12.92271
| -0.304064
| -0.66894
| 0.273657
| -0.060813
| -0.820972
| -0.638534
| -0.699347
| 14.382216
| 0.243251
| 12.405803
| -0.577721
| 11.736862
| 0.212845
| -0.790566
| -0.516908
| -1.09463
| -0.66894
| -0.243251
| -0.942598
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 8.483379
| 0.212845
| 11.706455
| -0.395283
| 13.591651
| -0.121626
| -0.182438
| 0.456096
| 0.273657
| -0.182438
| -0.091219
| -0.729753
| 14.321404
| -0.182438
| 13.3484
| -0.121626
| 12.709867
| 0.638534
| 0.030406
| -0.121626
| -0.395283
| -0.425689
| 0.121626
| -0.729753
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 8.605005
| -0.030406
| 12.162551
| -0.547315
| 13.500432
| 0.577721
| -0.243251
| 1.00341
| 0.729753
| -0.212845
| 0.243251
| -0.790566
| 14.321404
| 0.121626
| 13.68287
| 0.304064
| 12.497022
| 0.395283
| -0.152032
| -0.395283
| -0.577721
| 0
| 0.152032
| -1.125036
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 8.179316
| -0.820972
| 11.311172
| -0.395283
| 13.287587
| -0.66894
| -0.729753
| 0.273657
| 0.060813
| -0.212845
| -0.304064
| -0.729753
| 14.047747
| -0.212845
| 13.713277
| -0.212845
| 12.101739
| 0.243251
| 0.152032
| -0.790566
| -0.577721
| -0.243251
| 0
| -1.00341
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 7.692814
| -0.729753
| 11.554423
| -0.395283
| 13.591651
| 0.121626
| -0.486502
| 0.182438
| 0.760159
| 0.030406
| -0.33447
| -0.942598
| 14.017341
| -0.152032
| 12.618647
| -0.33447
| 11.706455
| -0.152032
| 0.121626
| -0.547315
| -0.66894
| -0.547315
| -0.060813
| -0.425689
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 8.969882
| -0.182438
| 11.128735
| 0.364877
| 13.3484
| 0.152032
| -0.182438
| 0.820972
| 0.030406
| 0.273657
| 0.030406
| -0.881785
| 14.047747
| -0.030406
| 13.135555
| -0.152032
| 12.010519
| -0.364877
| -0.121626
| -0.182438
| -0.760159
| -0.182438
| 0.212845
| -0.273657
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 8.848256
| 0.152032
| 11.888894
| 0.66894
| 13.530838
| 0.243251
| -0.486502
| 0.699347
| 0.790566
| -0.182438
| 0.152032
| -0.547315
| 14.443029
| 0.121626
| 13.591651
| -0.152032
| 12.071332
| 0.425689
| 0.212845
| 0.060813
| -0.091219
| 0.516908
| 0.060813
| -0.273657
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 8.300941
| 0.091219
| 11.767268
| 0.851379
| 13.226774
| 0.425689
| -0.243251
| 1.216255
| 0.912191
| -0.060813
| 0
| -0.364877
| 14.017341
| 0.060813
| 13.409213
| 0.121626
| 12.527428
| 0.608128
| 0.577721
| -0.243251
| 0.425689
| -0.121626
| 0.33447
| -0.030406
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 7.814439
| 0.212845
| 11.554423
| -0.030406
| 13.743683
| 0.547315
| 0.152032
| 1.125036
| 1.216255
| 0.212845
| 0.456096
| -0.456096
| 13.926121
| 0.121626
| 13.652464
| 0.243251
| 12.92271
| -0.060813
| -0.060813
| 0.395283
| 0.182438
| -0.273657
| 0.456096
| 0.364877
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 8.574598
| 0.33447
| 11.615236
| 0.608128
| 13.470026
| 0.577721
| -0.577721
| 1.00341
| 0.973004
| 0.212845
| 0.212845
| -0.304064
| 14.321404
| -0.060813
| 13.561245
| 0.152032
| 12.223364
| -0.395283
| 0.121626
| 0.212845
| 0.121626
| -0.273657
| 0.577721
| -0.273657
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 8.635411
| 0.395283
| 11.189548
| 0.152032
| 13.317994
| 0.273657
| -0.364877
| 0.577721
| 0.486502
| 0.030406
| 0.182438
| -0.760159
| 14.047747
| 0.060813
| 13.196368
| 0.212845
| 11.797675
| -0.152032
| -0.182438
| -0.547315
| -0.729753
| 0.030406
| -0.243251
| -0.182438
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 8.209723
| -0.547315
| 10.824671
| -0.790566
| 13.074742
| -0.33447
| -0.760159
| 0.699347
| -0.030406
| -0.030406
| -0.456096
| -1.277068
| 13.774089
| -0.243251
| 12.284177
| -0.030406
| 11.736862
| -1.033817
| -0.182438
| -1.033817
| -0.912191
| -0.790566
| -0.456096
| -0.638534
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 9.061101
| -0.182438
| 11.402391
| -0.273657
| 12.162551
| -0.121626
| -0.456096
| 0.942598
| 0.243251
| 0.121626
| 0.182438
| -1.307474
| 13.591651
| -0.486502
| 12.132145
| -0.212845
| 11.645643
| -0.790566
| -0.425689
| -0.66894
| -0.243251
| -0.486502
| -0.152032
| -0.091219
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 7.753626
| -0.182438
| 9.82126
| -0.212845
| 11.128735
| 0.212845
| -0.364877
| 0.456096
| 0.121626
| -0.66894
| 0.030406
| -1.185849
| 11.949707
| -0.638534
| 11.402391
| -0.547315
| 10.125324
| -0.608128
| -0.060813
| -0.547315
| -0.425689
| -0.760159
| -0.182438
| -0.304064
|
18
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20
| 0
| 20
| 0
| 20
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 6.871841
| -0.243251
| 8.300941
| 0.060813
| 10.763858
| -0.486502
| 0.182438
| 0.912191
| 0.304064
| -0.577721
| -0.121626
| -0.486502
| 10.885484
| -0.121626
| 10.186136
| 0.547315
| 8.969882
| -0.547315
| -0.33447
| -0.364877
| -0.486502
| -0.547315
| -0.121626
| -0.699347
|
18
| 30
| 0
| 30
| 0
| 30
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 30
| 0
| 30
| 0
| 30
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 9.730042
| -0.364877
| 14.412623
| -0.304064
| 16.328224
| -0.212845
| -0.516908
| 0.060813
| -0.152032
| 0.273657
| -0.212845
| -1.064223
| 16.693102
| -0.33447
| 14.807906
| -0.33447
| 14.138966
| -1.00341
| -1.064223
| -1.277068
| -0.760159
| -0.729753
| -0.608128
| -1.216255
|
18
| 30
| 0
| 30
| 0
| 30
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 30
| 0
| 30
| 0
| 30
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 10.459794
| -0.425689
| 14.169373
| 0.091219
| 16.328224
| -0.638534
| -0.273657
| 0.091219
| 0.608128
| -0.152032
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| 30
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| 30
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| 30
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| 30
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| 30
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| 30
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| 30
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| 30
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 40
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| 0
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| 40
| 0
| 40
| 0
| 40
| 0
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| 0
| 40
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| 40
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| 40
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| 60
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| 60
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| 60
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18
| 60
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| 60
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| 60
| 0
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| 0
| 60
| 0
| 60
| 0
| 60
| 0
| 0
| 0
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| 60
| 0
| 60
| 0
| 60
| 0
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| 60
| 0
| 60
| 0
| 60
| 0
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| 60
| 0
| 60
| 0
| 60
| 0
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| 60
| 0
| 60
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| 60
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| 60
| 0
| 60
| 0
| 60
| 0
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| 60
| 0
| 60
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| 60
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| 60
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| 60
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| 60
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| 60
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| 60
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| 60
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| 70
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| 70
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| 70
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| 70
| 0
| 70
| 0
| 70
| 0
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
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| 0
| 0
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
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| 0
| 0
| 0
| 0
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| 70
| 0
| 70
| 0
| 70
| 0
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| 0
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
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| 0
| 0
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| 70
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| 70
| 0
| 70
| 0
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
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| 0
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
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| -0.33447
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
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| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0.091219
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| -0.577721
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| -1.00341
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| 0.486502
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| -0.516908
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| -0.729753
| -0.699347
| -0.547315
| -0.121626
| -0.699347
|
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
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| 0
| 0
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| 0
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| -0.425689
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| -0.608128
| -0.790566
| -1.307474
| 0
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|
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 16.997166
| 0.243251
| 22.439907
| -0.364877
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| -0.66894
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|
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 16.693102
| 0.182438
| 24.021038
| -0.516908
| 28.156305
| -0.243251
| -0.425689
| 0.395283
| 0.547315
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| -0.912191
| 26.575174
| -1.033817
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| -0.395283
| 25.967047
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| -0.364877
| -0.516908
| -0.304064
| -0.820972
|
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 17.818138
| -0.152032
| 23.8386
| -0.699347
| 28.034681
| -0.942598
| -0.273657
| 0.243251
| 0.364877
| -0.243251
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| 26.453548
| -1.216255
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| -0.33447
| 25.784609
| -0.699347
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| -1.033817
| -1.064223
| -0.33447
| -0.973004
|
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| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 17.666105
| -0.091219
| 22.622345
| -0.66894
| 26.666393
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| -0.060813
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| 26.423143
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| -0.851379
| -0.304064
| -0.425689
| -0.243251
|
18
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 17.331636
| 0.182438
| 24.659573
| 0.030406
| 26.879238
| -1.246662
| -0.638534
| -0.060813
| 0.516908
| -0.182438
| -0.212845
| -0.851379
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| -1.337881
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| -0.395283
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| -0.425689
| -0.547315
| -1.246662
| -0.091219
| -1.125036
|
18
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 18.943174
| -0.486502
| 23.321692
| -0.699347
| 26.514362
| -1.368287
| -0.66894
| 0.182438
| 0.699347
| 0.060813
| -0.547315
| -0.942598
| 25.754202
| -0.577721
| 25.69339
| -0.030406
| 25.815016
| -0.820972
| -0.486502
| -0.547315
| -1.033817
| -0.790566
| -0.182438
| -1.155442
|
18
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 18.88236
| -0.304064
| 23.169661
| -0.395283
| 27.852242
| -1.064223
| -0.608128
| -0.212845
| 0.395283
| -0.030406
| -0.760159
| -1.185849
| 26.605581
| -1.00341
| 27.578585
| -0.395283
| 25.93664
| -0.182438
| -0.152032
| -0.091219
| -0.425689
| -0.577721
| -0.030406
| -0.942598
|
18
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 17.362041
| 0.121626
| 22.926409
| -0.425689
| 26.788019
| -1.277068
| -0.273657
| 0.060813
| 0.121626
| -0.66894
| -0.851379
| -1.581132
| 26.635988
| -0.760159
| 26.423143
| -0.33447
| 24.781199
| -1.155442
| -0.912191
| -0.577721
| -0.851379
| -0.608128
| -0.304064
| -0.912191
|
18
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 70
| 0
| 70
| 0
| 70
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 18.122202
| -0.456096
| 23.534536
| -0.638534
| 27.061676
| -1.277068
| -0.729753
| -0.304064
| 0.030406
| -0.212845
| -0.577721
| -1.368287
| 26.362329
| -1.00341
| 26.483955
| -0.942598
| 25.176481
| -0.820972
| -0.547315
| -0.790566
| -1.033817
| -0.790566
| -0.304064
| -1.459506
|
18
| 80
| 0
| 80
| 0
| 80
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 80
| 0
| 80
| 0
| 80
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 18.760735
| 0.091219
| 26.088673
| -0.942598
| 29.828657
| -0.364877
| -0.486502
| -0.060813
| 0.152032
| 0
| 0.030406
| -0.395283
| 29.311749
| -0.425689
| 28.825247
| 0.091219
| 27.852242
| -0.273657
| -0.121626
| -0.030406
| -0.364877
| -1.00341
| 0.030406
| -0.973004
|
18
| 80
| 0
| 80
| 0
| 80
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 80
| 0
| 80
| 0
| 80
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 18.517485
| -0.699347
| 25.723797
| -0.760159
| 30.923286
| -0.577721
| -0.030406
| -0.182438
| -0.121626
| 0.091219
| -0.060813
| -1.033817
| 29.615812
| -0.547315
| 29.038092
| 0.091219
| 28.399557
| -1.185849
| -0.212845
| -0.547315
| -1.00341
| -0.851379
| -0.243251
| -1.4291
|
18
| 80
| 0
| 80
| 0
| 80
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 80
| 0
| 80
| 0
| 80
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 20.858776
| -0.182438
| 26.879238
| -0.152032
| 29.828657
| -0.638534
| 0
| 0.182438
| 0.33447
| 0.608128
| -0.152032
| -0.638534
| 29.311749
| -0.364877
| 29.342155
| 0.273657
| 27.456959
| -0.608128
| -0.060813
| -0.638534
| -0.547315
| -0.547315
| -0.121626
| -1.064223
|
18
| 80
| 0
| 80
| 0
| 80
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 80
| 0
| 80
| 0
| 80
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 19.642521
| 0.395283
| 26.331924
| -0.395283
| 29.250937
| -0.304064
| -0.304064
| 0.364877
| 0.33447
| -0.030406
| -0.395283
| -0.608128
| 29.190123
| -0.516908
| 29.676624
| 0.790566
| 28.673214
| -0.395283
| 0.456096
| -0.33447
| -0.425689
| -0.851379
| -0.060813
| -0.547315
|
End of preview.