Split (2)

train

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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 1 new columns ({'ProdTaken'}) and 29 missing columns ({'MaritalStatus_Married', 'MaritalStatus_Single', 'NumberOfPersonVisiting', 'CityTier', 'Gender_Female', 'Gender_Male', 'NumberOfFollowups', 'ProductPitched_Standard', 'Occupation_Salaried', 'ProductPitched_Super Deluxe', 'DurationOfPitch', 'ProductPitched_King', 'MaritalStatus_Unmarried', 'Passport', 'Designation_Executive', 'ProductPitched_Deluxe', 'MonthlyIncome', 'Designation_Senior Manager', 'TypeofContact_Self Enquiry', 'PreferredPropertyStar', 'Age', 'Occupation_Large Business', 'Occupation_Small Business', 'NumberOfChildrenVisiting', 'Designation_VP', 'OwnCar', 'NumberOfTrips', 'Designation_Manager', 'PitchSatisfactionScore'}).

This happened while the csv dataset builder was generating data using

hf://datasets/P-Mishra/tourism_project/data/processed/y_train.csv (at revision ea3b710f3ff77d02609bc0f095d0a7c6bca9ff18)

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
              ProdTaken: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 377
              to
              {'Age': Value('float64'), 'CityTier': Value('float64'), 'DurationOfPitch': Value('float64'), 'NumberOfPersonVisiting': Value('float64'), 'NumberOfFollowups': Value('float64'), 'PreferredPropertyStar': Value('float64'), 'NumberOfTrips': Value('float64'), 'Passport': Value('float64'), 'PitchSatisfactionScore': Value('float64'), 'OwnCar': Value('float64'), 'NumberOfChildrenVisiting': Value('float64'), 'MonthlyIncome': Value('float64'), 'TypeofContact_Self Enquiry': Value('bool'), 'Occupation_Large Business': Value('bool'), 'Occupation_Salaried': Value('bool'), 'Occupation_Small Business': Value('bool'), 'Gender_Female': Value('bool'), 'Gender_Male': Value('bool'), 'ProductPitched_Deluxe': Value('bool'), 'ProductPitched_King': Value('bool'), 'ProductPitched_Standard': Value('bool'), 'ProductPitched_Super Deluxe': Value('bool'), 'MaritalStatus_Married': Value('bool'), 'MaritalStatus_Single': Value('bool'), 'MaritalStatus_Unmarried': Value('bool'), 'Designation_Executive': Value('bool'), 'Designation_Manager': Value('bool'), 'Designation_Senior Manager': Value('bool'), 'Designation_VP': Value('bool')}
              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 1339, 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 972, 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 1 new columns ({'ProdTaken'}) and 29 missing columns ({'MaritalStatus_Married', 'MaritalStatus_Single', 'NumberOfPersonVisiting', 'CityTier', 'Gender_Female', 'Gender_Male', 'NumberOfFollowups', 'ProductPitched_Standard', 'Occupation_Salaried', 'ProductPitched_Super Deluxe', 'DurationOfPitch', 'ProductPitched_King', 'MaritalStatus_Unmarried', 'Passport', 'Designation_Executive', 'ProductPitched_Deluxe', 'MonthlyIncome', 'Designation_Senior Manager', 'TypeofContact_Self Enquiry', 'PreferredPropertyStar', 'Age', 'Occupation_Large Business', 'Occupation_Small Business', 'NumberOfChildrenVisiting', 'Designation_VP', 'OwnCar', 'NumberOfTrips', 'Designation_Manager', 'PitchSatisfactionScore'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/P-Mishra/tourism_project/data/processed/y_train.csv (at revision ea3b710f3ff77d02609bc0f095d0a7c6bca9ff18)
              
              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)

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Age float64	CityTier float64	DurationOfPitch float64	NumberOfPersonVisiting float64	NumberOfFollowups float64	PreferredPropertyStar float64	NumberOfTrips float64	Passport float64	PitchSatisfactionScore float64	OwnCar float64	NumberOfChildrenVisiting float64	MonthlyIncome float64	TypeofContact_Self Enquiry bool	Occupation_Large Business bool	Occupation_Salaried bool	Occupation_Small Business bool	Gender_Female bool	Gender_Male bool	ProductPitched_Deluxe bool	ProductPitched_King bool	ProductPitched_Standard bool	ProductPitched_Super Deluxe bool	MaritalStatus_Married bool	MaritalStatus_Single bool	MaritalStatus_Unmarried bool	Designation_Executive bool	Designation_Manager bool	Designation_Senior Manager bool	Designation_VP bool
-1.22439	0.365795	0.883066	-1.320898	-0.736612	-0.727718	-1.236642	1.544792	1.422846	-1.256339	-0.262256	-1.206698	false	false	true	false	true	false	false	false	false	false	true	false	false	true	false	false	false
0.519782	-0.720538	-1.141437	-1.320898	0.256768	-0.727718	-1.236642	1.544792	-0.044614	-1.256339	-0.262256	-0.469692	true	false	true	false	true	false	true	false	false	false	false	false	false	false	true	false	false
2.045932	-0.720538	-0.784172	1.461785	0.256768	0.530247	0.918443	-0.647336	-1.512074	-1.256339	0.910652	1.43707	false	false	true	false	false	true	false	false	true	false	true	false	false	false	false	true	false
-1.115379	1.452128	2.431215	1.461785	2.243527	1.788212	-0.69787	-0.647336	-0.044614	0.795963	0.910652	0.103979	false	false	false	true	false	true	true	false	false	false	false	false	true	false	true	false	false
-0.025272	-0.720538	-0.784172	1.461785	0.256768	-0.727718	1.457214	-0.647336	1.422846	0.795963	-0.262256	-0.434406	true	false	true	false	true	false	false	false	false	false	false	false	false	true	false	false	false
-0.679336	0.365795	1.478508	-1.320898	1.250147	-0.727718	-0.69787	-0.647336	-1.512074	-1.256339	-0.262256	0.371396	true	false	true	false	false	true	false	false	false	false	true	false	false	true	false	false	false
1.282857	1.452128	-0.90326	0.070443	0.256768	0.530247	-0.159099	-0.647336	-0.044614	0.795963	0.910652	-0.618824	false	false	false	true	false	true	true	false	false	false	true	false	false	false	true	false	false
0.628792	-0.720538	0.049447	-1.320898	-0.736612	-0.727718	-1.236642	-0.647336	1.422846	-1.256339	-1.435165	-1.270168	false	false	true	false	true	false	false	false	false	false	false	true	false	true	false	false	false
0.30176	1.452128	-0.784172	0.070443	-1.729992	-0.727718	-0.69787	-0.647336	-1.512074	-1.256339	-0.262256	0.749997	true	false	true	false	false	true	false	false	true	false	false	false	true	false	false	true	false
2.263953	-0.720538	1.835773	0.070443	-0.736612	-0.727718	0.918443	1.544792	0.689116	0.795963	0.910652	1.095974	true	false	true	false	false	true	false	false	true	false	true	false	false	false	false	true	false
2.045932	-0.720538	1.359419	0.070443	0.256768	-0.727718	0.918443	1.544792	-0.778344	0.795963	0.910652	0.202956	true	true	false	false	false	true	true	false	false	false	false	false	false	false	true	false	false
2.045932	1.452128	-0.426906	-1.320898	-1.729992	1.788212	-1.236642	-0.647336	-0.044614	0.795963	-1.435165	1.117057	false	false	true	false	true	false	false	false	false	true	false	false	false	false	false	false	false
1.609889	1.452128	2.193038	0.070443	0.256768	-0.727718	-0.159099	1.544792	1.422846	0.795963	0.910652	2.113935	true	false	true	false	false	true	true	false	false	false	false	true	false	false	true	false	false
-0.134283	-0.720538	-1.022348	0.070443	1.250147	1.788212	-0.159099	1.544792	-1.512074	0.795963	-1.435165	0.460165	true	true	false	false	true	false	false	false	true	false	true	false	false	false	false	true	false
-1.442412	-0.720538	-0.069641	-1.320898	0.256768	0.530247	-0.69787	-0.647336	1.422846	0.795963	-1.435165	-1.217128	false	false	true	false	false	true	false	false	false	false	true	false	false	true	false	false	false
-0.788347	1.452128	-0.18873	0.070443	-0.736612	-0.727718	1.457214	-0.647336	-0.044614	0.795963	-1.435165	-0.202941	true	false	true	false	false	true	false	false	true	false	true	false	false	false	false	true	false
-1.333401	-0.720538	-0.069641	-1.320898	-0.736612	1.788212	0.379672	-0.647336	-1.512074	0.795963	-1.435165	-1.349838	true	false	true	false	false	true	false	false	false	false	false	true	false	true	false	false	false
-0.025272	-0.720538	-0.545995	0.070443	1.250147	-0.727718	-0.159099	-0.647336	1.422846	0.795963	0.910652	0.290616	true	false	true	false	false	true	true	false	false	false	false	false	true	false	true	false	false
-1.878454	-0.720538	0.049447	-1.320898	-0.736612	-0.727718	-0.69787	1.544792	1.422846	0.795963	-0.262256	-1.591069	true	false	false	true	false	true	false	false	false	false	false	true	false	true	false	false	false
0.737803	1.452128	-0.545995	0.070443	1.250147	-0.727718	0.918443	-0.647336	-0.044614	0.795963	-0.262256	1.271737	true	false	false	true	true	false	false	false	true	false	false	true	false	false	false	true	false
-0.897358	1.452128	-0.426906	1.461785	0.256768	-0.727718	-0.159099	-0.647336	-0.044614	-1.256339	0.910652	0.090442	true	false	false	true	false	true	true	false	false	false	false	false	true	false	true	false	false
-0.134283	-0.720538	-0.18873	0.070443	0.256768	-0.727718	0.918443	-0.647336	-0.044614	-1.256339	0.910652	1.269518	true	false	true	false	false	true	false	false	true	false	false	true	false	false	false	true	false
1.282857	-0.720538	-0.545995	1.461785	1.250147	-0.727718	-0.69787	-0.647336	1.422846	0.795963	0.910652	1.442174	true	false	true	false	false	true	false	false	true	false	false	true	false	false	false	true	false
-0.134283	-0.720538	-0.426906	-1.320898	-1.729992	-0.727718	0.379672	-0.647336	-0.778344	-1.256339	-1.435165	-1.140787	true	false	true	false	true	false	true	false	false	false	false	false	false	false	true	false	false
0.410771	1.452128	-0.784172	0.070443	0.256768	0.530247	-0.69787	-0.647336	-1.512074	-1.256339	-0.262256	0.269533	true	false	false	true	true	false	true	false	false	false	true	false	false	false	true	false	false
-0.352304	0.365795	-0.665083	0.070443	0.256768	0.530247	0.918443	1.544792	1.422846	-1.256339	0.910652	-0.493438	true	false	true	false	false	true	false	false	false	false	true	false	false	true	false	false	false
-0.788347	1.452128	-0.784172	0.070443	0.256768	-0.727718	-0.159099	-0.647336	-0.778344	-1.256339	-0.262256	0.011881	false	false	true	false	false	true	true	false	false	false	false	false	true	false	true	false	false
0.846814	-0.720538	-0.307818	0.070443	-0.736612	1.788212	-0.69787	-0.647336	-0.778344	0.795963	0.910652	-0.65877	false	false	true	false	false	true	false	false	true	false	true	false	false	false	false	true	false
2.045932	-0.720538	1.359419	0.070443	0.256768	-0.727718	0.918443	1.544792	-1.512074	-1.256339	-0.262256	0.202956	true	true	false	false	false	true	true	false	false	false	true	false	false	false	true	false	false
-2.096476	-0.720538	-0.545995	0.070443	-0.736612	-0.727718	-0.69787	-0.647336	-1.512074	-1.256339	-0.262256	-1.581748	false	false	true	false	false	true	false	false	false	false	false	true	false	true	false	false	false
0.30176	-0.720538	-1.022348	0.070443	-1.729992	-0.727718	-0.69787	-0.647336	-0.044614	0.795963	-0.262256	1.134589	true	false	false	true	false	true	false	false	true	false	true	false	false	false	false	true	false
-0.461315	-0.720538	-1.141437	0.070443	-0.736612	-0.727718	-0.69787	1.544792	-0.044614	0.795963	-1.435165	-1.218904	true	false	true	false	false	true	false	false	false	false	false	true	false	true	false	false	false
-0.679336	1.452128	-0.426906	-1.320898	1.250147	-0.727718	-0.159099	-0.647336	-1.512074	0.795963	-0.262256	0.358968	true	false	false	true	true	false	true	false	false	false	true	false	false	false	true	false	false
-0.897358	-0.720538	-0.307818	0.070443	1.250147	-0.727718	-0.159099	1.544792	0.689116	0.795963	-0.262256	-0.398899	false	false	true	false	false	true	false	false	false	false	true	false	false	true	false	false	false
0.737803	-0.720538	0.883066	0.070443	1.250147	-0.727718	-0.159099	-0.647336	0.689116	0.795963	-0.262256	-1.306785	false	false	true	false	false	true	false	false	false	false	false	true	false	true	false	false	false
0.083739	-0.720538	-0.426906	0.070443	1.250147	-0.727718	-1.236642	1.544792	-0.778344	-1.256339	0.910652	-0.632361	false	false	false	true	true	false	true	false	false	false	true	false	false	false	true	false	false
-0.134283	-0.720538	0.763977	-1.320898	-2.723372	1.788212	-0.69787	-0.647336	-1.512074	0.795963	-1.435165	-1.206254	true	false	true	false	true	false	false	false	false	false	false	true	false	true	false	false	false
-0.788347	1.452128	-0.307818	-1.320898	-0.736612	0.530247	-1.236642	-0.647336	-1.512074	-1.256339	-1.435165	-1.152993	true	false	false	true	false	true	false	false	false	false	false	true	false	true	false	false	false
-0.025272	1.452128	-0.426906	0.070443	-0.736612	-0.727718	0.918443	-0.647336	-0.044614	-1.256339	-1.435165	-0.372046	true	false	false	true	false	true	true	false	false	false	false	false	false	false	true	false	false
1.282857	1.452128	2.431215	1.461785	0.256768	-0.727718	0.918443	-0.647336	0.689116	-1.256339	0.910652	1.776168	true	false	false	true	true	false	false	false	true	false	true	false	false	false	false	true	false
-1.22439	-0.720538	-0.784172	0.070443	0.256768	-0.727718	2.534756	1.544792	1.422846	-1.256339	-0.262256	-0.116169	true	false	true	false	false	true	false	false	false	false	true	false	false	true	false	false	false
-0.134283	1.452128	-0.18873	1.461785	0.256768	-0.727718	-0.159099	-0.647336	-0.044614	0.795963	-0.262256	-0.465253	true	false	true	false	false	true	false	false	false	false	false	false	false	true	false	false	false
0.192749	-0.720538	2.431215	0.070443	0.256768	-0.727718	-0.159099	-0.647336	-0.044614	0.795963	-0.262256	-0.46481	false	false	true	false	true	false	true	false	false	false	false	true	false	false	true	false	false
-0.243294	-0.720538	-0.784172	-1.320898	0.256768	-0.727718	-0.69787	-0.647336	-1.512074	0.795963	-0.262256	-1.530705	false	false	true	false	false	true	false	false	false	false	true	false	false	true	false	false	false
1.500878	-0.720538	-1.141437	-2.712239	0.256768	1.788212	0.379672	-0.647336	-0.778344	0.795963	-1.435165	-0.154118	false	false	false	true	true	false	false	false	true	false	false	false	true	false	false	true	false
-0.025272	1.452128	-0.90326	0.070443	-0.736612	-0.727718	0.918443	1.544792	-0.044614	-1.256339	0.910652	0.315915	true	false	false	true	false	true	true	false	false	false	true	false	false	false	true	false	false
-1.006369	-0.720538	-0.665083	0.070443	0.256768	-0.727718	-0.159099	-0.647336	-1.512074	-1.256339	-0.262256	-0.620156	false	false	false	true	false	true	false	false	false	false	true	false	false	true	false	false	false
-0.243294	1.452128	-0.18873	0.070443	0.256768	-0.727718	0.918443	1.544792	1.422846	0.795963	0.910652	0.487906	false	false	false	true	true	false	false	false	true	false	true	false	false	false	false	true	false
-0.679336	-0.720538	-0.18873	0.070443	1.250147	0.530247	-0.159099	-0.647336	1.422846	-1.256339	-0.262256	-0.523619	true	false	false	true	false	true	false	false	false	false	true	false	false	true	false	false	false
-0.679336	0.365795	1.002154	-1.320898	-2.723372	1.788212	-1.236642	-0.647336	-1.512074	0.795963	-1.435165	-1.158985	true	false	true	false	false	true	false	false	false	false	true	false	false	true	false	false	false
-0.788347	-0.720538	-1.022348	1.461785	-1.729992	-0.727718	-0.69787	1.544792	-0.044614	-1.256339	0.910652	0.398027	false	false	true	false	false	true	true	false	false	false	false	false	true	false	true	false	false
-0.243294	-0.720538	0.763977	0.070443	-0.736612	-0.727718	0.918443	1.544792	-1.512074	-1.256339	-1.435165	-0.121273	true	false	true	false	false	true	false	false	true	false	true	false	false	false	false	true	false
0.955824	1.452128	-0.307818	0.070443	1.250147	-0.727718	2.534756	-0.647336	0.689116	0.795963	-0.262256	0.968591	false	false	false	true	false	false	false	false	true	false	false	false	true	false	false	true	false
-1.769444	1.452128	1.478508	0.070443	-1.729992	-0.727718	-0.159099	-0.647336	-0.044614	0.795963	0.910652	-0.404447	true	false	false	true	false	true	false	false	false	false	false	false	true	true	false	false	false
-0.788347	1.452128	2.07395	-1.320898	-0.736612	-0.727718	-1.236642	-0.647336	-0.044614	0.795963	-1.435165	-0.63791	true	false	false	true	false	true	true	false	false	false	true	false	false	false	true	false	false
-0.025272	1.452128	-0.665083	0.070443	1.250147	-0.727718	1.457214	-0.647336	-1.512074	-1.256339	-0.262256	1.153674	false	false	false	true	false	true	false	false	true	false	true	false	false	false	false	true	false
1.173846	1.452128	-0.665083	0.070443	0.256768	-0.727718	-0.69787	1.544792	1.422846	0.795963	-0.262256	2.057123	false	false	false	true	true	false	false	false	false	true	true	false	false	false	false	false	false
-0.134283	-0.720538	0.049447	0.070443	0.256768	-0.727718	-0.159099	-0.647336	0.689116	-1.256339	0.910652	0.132607	true	false	false	true	false	true	true	false	false	false	false	false	true	false	true	false	false
1.282857	-0.720538	-0.90326	-1.320898	-0.736612	-0.727718	0.379672	-0.647336	-0.044614	0.795963	-1.435165	2.437277	false	false	true	false	false	true	false	true	false	false	true	false	false	false	false	false	true
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-1.878454	-0.720538	-0.665083	1.461785	0.256768	0.530247	-0.159099	-0.647336	-0.044614	0.795963	2.083561	-0.669645	true	false	false	true	true	false	false	false	false	false	false	true	false	true	false	false	false
-0.788347	1.452128	-1.022348	0.070443	1.250147	-0.727718	2.534756	1.544792	-1.512074	0.795963	0.910652	-0.377372	true	false	false	true	true	false	false	false	false	false	true	false	false	true	false	false	false
-0.570326	-0.720538	1.716684	1.461785	1.250147	-0.727718	-0.69787	-0.647336	-0.044614	0.795963	0.910652	0.240018	true	false	false	true	false	true	true	false	false	false	false	false	false	false	true	false	false
2.263953	-0.720538	-0.90326	-1.320898	-0.736612	0.530247	-1.236642	1.544792	-0.044614	0.795963	-1.435165	2.45614	true	false	true	false	false	true	false	true	false	false	false	true	false	false	false	false	true
-0.897358	-0.720538	-0.784172	0.070443	1.250147	-0.727718	-0.159099	1.544792	0.689116	0.795963	-0.262256	-0.14058	false	false	true	false	false	true	false	false	false	false	false	false	false	true	false	false	false
-0.461315	-0.720538	-0.307818	0.070443	0.256768	-0.727718	0.918443	-0.647336	-1.512074	-1.256339	0.910652	-0.324554	true	false	true	false	false	true	false	false	false	false	false	false	true	true	false	false	false
-0.243294	1.452128	-1.141437	0.070443	-0.736612	0.530247	-0.69787	-0.647336	0.689116	-1.256339	-1.435165	-0.196061	true	false	false	true	false	true	false	false	true	false	true	false	false	false	false	true	false
0.519782	-0.720538	-0.545995	0.070443	-0.736612	-0.727718	0.918443	-0.647336	-0.044614	-1.256339	-0.262256	-1.350504	false	false	true	false	false	true	false	false	false	false	true	false	false	true	false	false	false
0.519782	-0.720538	1.597596	-1.320898	-0.736612	-0.727718	-0.159099	-0.647336	-0.044614	-1.256339	-1.435165	1.734003	true	false	true	false	true	false	false	false	false	true	false	true	false	false	false	false	false
1.173846	-0.720538	-0.90326	0.070443	-2.723372	0.530247	1.457214	-0.647336	-0.778344	-1.256339	0.910652	-1.247088	true	true	false	false	false	true	false	false	false	false	false	true	false	true	false	false	false
-1.115379	1.452128	-0.18873	-1.320898	-0.736612	0.530247	-0.69787	-0.647336	-0.778344	-1.256339	-1.435165	-0.43596	true	false	false	true	true	false	true	false	false	false	false	false	false	false	true	false	false
-1.660433	1.452128	1.597596	0.070443	0.256768	-0.727718	-0.159099	-0.647336	-0.778344	0.795963	0.910652	-0.233788	true	true	false	false	false	true	false	false	false	false	false	false	true	true	false	false	false
-1.006369	-0.720538	1.716684	0.070443	0.256768	1.788212	-0.69787	-0.647336	-0.778344	-1.256339	-1.435165	0.120623	false	true	false	false	false	true	false	false	true	false	false	false	true	false	false	true	false
0.083739	-0.720538	0.644889	1.461785	0.256768	1.788212	-0.159099	-0.647336	0.689116	0.795963	-0.262256	-0.325442	true	false	true	false	true	false	false	false	false	false	true	false	false	true	false	false	false
0.410771	-0.720538	0.287624	-1.320898	-0.736612	-0.727718	-0.69787	-0.647336	0.689116	0.795963	-0.262256	2.522495	true	true	false	false	true	false	false	true	false	false	true	false	false	false	false	false	true
1.391867	-0.720538	1.716684	0.070443	-0.736612	-0.727718	0.379672	1.544792	0.689116	0.795963	0.910652	1.28594	true	false	true	false	false	true	false	false	false	true	true	false	false	false	false	false	false
-0.243294	1.452128	-1.022348	1.461785	-1.729992	-0.727718	-0.69787	-0.647336	1.422846	-1.256339	0.910652	1.159444	true	false	false	true	false	true	true	false	false	false	true	false	false	false	true	false	false
-1.769444	-0.720538	0.287624	1.461785	1.250147	1.788212	-0.159099	1.544792	-0.044614	-1.256339	0.910652	-0.421757	true	false	false	true	true	false	false	false	false	false	false	false	true	true	false	false	false
-1.442412	-0.720538	-1.141437	0.070443	-0.736612	-0.727718	-0.159099	1.544792	-0.044614	-1.256339	0.910652	-1.306119	true	false	false	true	false	true	false	false	false	false	true	false	false	true	false	false	false
1.282857	-0.720538	-0.307818	-1.320898	0.256768	-0.727718	-1.236642	-0.647336	-1.512074	0.795963	-1.435165	0.618396	true	false	true	false	false	true	false	false	true	false	false	false	true	false	false	true	false
0.083739	-0.720538	-1.141437	-1.320898	-1.729992	-0.727718	-1.236642	-0.647336	-0.778344	0.795963	-0.262256	-0.122826	true	false	true	false	true	false	true	false	false	false	false	false	true	false	true	false	false
1.718899	-0.720538	0.287624	0.070443	0.256768	-0.727718	-0.69787	-0.647336	-1.512074	0.795963	-0.262256	-0.299921	true	false	true	false	true	false	true	false	false	false	true	false	false	false	true	false	false
-0.243294	-0.720538	-0.784172	1.461785	-1.729992	-0.727718	-0.69787	1.544792	-1.512074	-1.256339	0.910652	-0.348078	true	false	false	true	false	true	false	false	false	false	true	false	false	true	false	false	false
-1.115379	1.452128	1.716684	0.070443	1.250147	-0.727718	-0.69787	1.544792	-1.512074	-1.256339	-0.262256	-0.076223	true	false	false	true	true	false	true	false	false	false	true	false	false	false	true	false	false
-0.243294	-0.720538	-0.069641	0.070443	0.256768	-0.727718	-0.69787	1.544792	0.689116	0.795963	-0.262256	0.556258	true	false	true	false	true	false	false	false	true	false	false	false	false	false	false	true	false
-1.006369	-0.720538	-0.069641	0.070443	2.243527	-0.727718	-0.159099	-0.647336	-0.778344	0.795963	0.910652	0.02675	false	false	true	false	false	true	false	false	false	false	false	false	false	true	false	false	false
-0.352304	-0.720538	-1.022348	0.070443	0.256768	1.788212	-1.236642	-0.647336	-1.512074	-1.256339	-1.435165	-0.629255	false	false	false	true	false	true	true	false	false	false	false	true	false	false	true	false	false
1.82791	1.452128	-1.022348	0.070443	0.256768	1.788212	-0.69787	-0.647336	-1.512074	0.795963	0.910652	0.86118	true	false	false	true	false	false	true	false	false	false	false	false	true	false	true	false	false
-1.660433	-0.720538	0.644889	-1.320898	-0.736612	-0.727718	-0.69787	-0.647336	-1.512074	0.795963	-0.262256	-1.177848	true	false	false	true	true	false	false	false	false	false	false	true	false	true	false	false	false
0.192749	-0.720538	-0.665083	0.070443	0.256768	-0.727718	0.918443	-0.647336	-0.044614	0.795963	0.910652	-0.372712	false	false	true	false	false	true	false	false	false	false	false	false	false	true	false	false	false
-0.570326	-0.720538	0.049447	-2.712239	-0.736612	-0.727718	-0.159099	-0.647336	-1.512074	-1.256339	-1.435165	0.680313	true	false	false	true	false	true	false	false	true	false	false	false	true	false	false	true	false
-0.570326	-0.720538	-0.18873	0.070443	-2.723372	-0.727718	1.457214	-0.647336	-0.044614	0.795963	0.910652	-0.666538	true	false	false	true	true	false	true	false	false	false	false	false	false	false	true	false	false
-0.025272	1.452128	-1.022348	1.461785	0.256768	-0.727718	2.534756	-0.647336	-1.512074	0.795963	0.910652	0.513649	true	false	true	false	false	false	true	false	false	false	false	false	true	false	true	false	false
-0.025272	1.452128	-0.784172	1.461785	0.256768	-0.727718	0.918443	1.544792	-0.044614	-1.256339	-0.262256	-0.411992	true	false	true	false	false	true	false	false	false	false	false	false	true	true	false	false	false
-0.134283	-0.720538	-0.90326	0.070443	-0.736612	-0.727718	0.918443	-0.647336	1.422846	0.795963	-1.435165	-1.255965	true	false	false	true	false	true	false	false	false	false	false	true	false	true	false	false	false
-0.897358	1.452128	1.240331	-1.320898	-0.736612	-0.727718	-0.69787	-0.647336	-0.044614	-1.256339	-0.262256	-1.336301	false	true	false	false	true	false	false	false	false	false	false	false	false	true	false	false	false
-0.025272	1.452128	-0.426906	0.070443	-0.736612	-0.727718	0.918443	-0.647336	-0.044614	0.795963	-1.435165	-0.372046	true	false	false	true	false	true	true	false	false	false	true	false	false	false	true	false	false
1.391867	-0.720538	-1.141437	0.070443	-0.736612	-0.727718	-1.236642	-0.647336	1.422846	-1.256339	0.910652	2.046248	true	false	false	true	false	true	false	false	false	true	true	false	false	false	false	false	false
2.372964	1.452128	-1.141437	0.070443	-0.736612	-0.727718	0.379672	1.544792	-0.778344	-1.256339	-0.262256	0.826782	true	true	false	false	false	true	false	false	true	false	false	false	false	false	false	true	false
0.192749	0.365795	-0.784172	-1.320898	-1.729992	0.530247	-1.236642	-0.647336	-0.778344	0.795963	-1.435165	-0.397123	true	false	true	false	true	false	true	false	false	false	false	false	false	false	true	false	false

End of preview.