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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 8 new columns ({'ProductPitched', 'Gender', 'ProdTaken', 'TypeofContact', 'CustomerID', 'MaritalStatus', 'Occupation', 'Designation'}) and 23 missing columns ({'ProductPitched_Super Deluxe', 'Occupation_Large Business', 'MaritalStatus_Married', 'Gender_Male', 'Gender_Female', 'MaritalStatus_Single', 'ProductPitched_Basic', 'Occupation_Salaried', 'Designation_Senior Manager', 'ProductPitched_King', 'TypeofContact_Company Invited', 'MaritalStatus_Unmarried', 'Occupation_Small Business', 'Occupation_Free Lancer', 'Designation_AVP', 'TypeofContact_Self Enquiry', 'Designation_Executive', 'ProductPitched_Deluxe', 'Gender_Fe Male', 'ProductPitched_Standard', 'Designation_VP', 'Designation_Manager', 'MaritalStatus_Divorced'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sauravghosh2109/tourism-package-prediction/tourism.csv (at revision 092f4b7cf36eee7d9d3ecc77965c51f464aa5a00)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Unnamed: 0: int64
CustomerID: int64
ProdTaken: int64
Age: double
TypeofContact: string
CityTier: int64
DurationOfPitch: double
Occupation: string
Gender: string
NumberOfPersonVisiting: int64
NumberOfFollowups: double
ProductPitched: string
PreferredPropertyStar: double
MaritalStatus: string
NumberOfTrips: double
Passport: int64
PitchSatisfactionScore: int64
OwnCar: int64
NumberOfChildrenVisiting: double
Designation: string
MonthlyIncome: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2881
to
{'TypeofContact_Company Invited': Value('float64'), 'TypeofContact_Self Enquiry': Value('float64'), 'Occupation_Free Lancer': Value('float64'), 'Occupation_Large Business': Value('float64'), 'Occupation_Salaried': Value('float64'), 'Occupation_Small Business': Value('float64'), 'Gender_Fe Male': Value('float64'), 'Gender_Female': Value('float64'), 'Gender_Male': Value('float64'), 'MaritalStatus_Divorced': Value('float64'), 'MaritalStatus_Married': Value('float64'), 'MaritalStatus_Single': Value('float64'), 'MaritalStatus_Unmarried': Value('float64'), 'Designation_AVP': Value('float64'), 'Designation_Executive': Value('float64'), 'Designation_Manager': Value('float64'), 'Designation_Senior Manager': Value('float64'), 'Designation_VP': Value('float64'), 'ProductPitched_Basic': Value('float64'), 'ProductPitched_Deluxe': Value('float64'), 'ProductPitched_King': Value('float64'), 'ProductPitched_Standard': Value('float64'), 'ProductPitched_Super Deluxe': Value('float64'), 'Unnamed: 0': Value('float64'), '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')}
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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/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 8 new columns ({'ProductPitched', 'Gender', 'ProdTaken', 'TypeofContact', 'CustomerID', 'MaritalStatus', 'Occupation', 'Designation'}) and 23 missing columns ({'ProductPitched_Super Deluxe', 'Occupation_Large Business', 'MaritalStatus_Married', 'Gender_Male', 'Gender_Female', 'MaritalStatus_Single', 'ProductPitched_Basic', 'Occupation_Salaried', 'Designation_Senior Manager', 'ProductPitched_King', 'TypeofContact_Company Invited', 'MaritalStatus_Unmarried', 'Occupation_Small Business', 'Occupation_Free Lancer', 'Designation_AVP', 'TypeofContact_Self Enquiry', 'Designation_Executive', 'ProductPitched_Deluxe', 'Gender_Fe Male', 'ProductPitched_Standard', 'Designation_VP', 'Designation_Manager', 'MaritalStatus_Divorced'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sauravghosh2109/tourism-package-prediction/tourism.csv (at revision 092f4b7cf36eee7d9d3ecc77965c51f464aa5a00)
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.
TypeofContact_Company Invited float64 | TypeofContact_Self Enquiry float64 | Occupation_Free Lancer float64 | Occupation_Large Business float64 | Occupation_Salaried float64 | Occupation_Small Business float64 | Gender_Fe Male float64 | Gender_Female float64 | Gender_Male float64 | MaritalStatus_Divorced float64 | MaritalStatus_Married float64 | MaritalStatus_Single float64 | MaritalStatus_Unmarried float64 | Designation_AVP float64 | Designation_Executive float64 | Designation_Manager float64 | Designation_Senior Manager float64 | Designation_VP float64 | ProductPitched_Basic float64 | ProductPitched_Deluxe float64 | ProductPitched_King float64 | ProductPitched_Standard float64 | ProductPitched_Super Deluxe float64 | Unnamed: 0 float64 | Age float64 | CityTier float64 | DurationOfPitch float64 | NumberOfPersonVisiting float64 | NumberOfFollowups float64 | PreferredPropertyStar float64 | NumberOfTrips float64 | Passport float64 | PitchSatisfactionScore float64 | OwnCar float64 | NumberOfChildrenVisiting float64 | MonthlyIncome float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2,273 | 34 | 1 | 9 | 2 | 4 | 3 | 4 | 0 | 1 | 0 | 0 | 17,979 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 73 | 32 | 1 | 6 | 3 | 3 | 4 | 2 | 0 | 3 | 0 | 0 | 21,220 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 167 | 30 | 3 | 11 | 2 | 3 | 3 | 3 | 0 | 4 | 1 | 1 | 24,419 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4,725 | 39 | 3 | 9 | 3 | 4 | 4 | 2 | 0 | 4 | 1 | 2 | 26,029 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,219 | 37 | 1 | 31 | 3 | 4 | 4 | 2 | 0 | 3 | 1 | 2 | 24,352 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2,620 | 34 | 1 | 9 | 3 | 4 | 3 | 2 | 0 | 3 | 0 | 2 | 21,178 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3,015 | 27 | 1 | 7 | 4 | 6 | 3 | 5 | 0 | 4 | 1 | 3 | 23,042 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1,106 | 30 | 3 | 6 | 3 | 4 | 5 | 2 | 0 | 4 | 1 | 1 | 24,714 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4,541 | 53 | 1 | 32 | 3 | 5 | 3 | 5 | 0 | 5 | 0 | 2 | 32,504 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 3,334 | 55 | 1 | 7 | 3 | 4 | 3 | 2 | 0 | 5 | 1 | 2 | 29,180 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 93 | 46 | 1 | 6 | 2 | 4 | 5 | 3 | 1 | 2 | 1 | 1 | 25,673 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,519 | 39 | 1 | 19 | 2 | 5 | 5 | 4 | 0 | 5 | 1 | 1 | 24,966 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 112 | 54 | 2 | 32 | 1 | 2 | 3 | 3 | 1 | 3 | 1 | 0 | 32,328 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1,287 | 42 | 1 | 19 | 3 | 1 | 5 | 6 | 0 | 4 | 1 | 0 | 20,538 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3,583 | 33 | 1 | 12 | 3 | 2 | 3 | 5 | 0 | 5 | 1 | 2 | 21,990 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1,551 | 35 | 1 | 6 | 1 | 4 | 3 | 2 | 0 | 4 | 1 | 0 | 17,859 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1,284 | 39 | 1 | 16 | 3 | 3 | 3 | 1 | 0 | 3 | 1 | 0 | 28,464 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3,232 | 29 | 1 | 17 | 3 | 4 | 3 | 5 | 0 | 4 | 1 | 2 | 22,338 |
1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2,887 | 23 | 1 | 11 | 3 | 5 | 3 | 7 | 0 | 5 | 1 | 1 | 22,572 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 294 | 37 | 1 | 15 | 2 | 3 | 3 | 2 | 1 | 2 | 0 | 0 | 17,326 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,606 | 33 | 1 | 10 | 4 | 4 | 5 | 3 | 0 | 1 | 1 | 1 | 25,403 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4,015 | 33 | 1 | 7 | 4 | 4 | 5 | 3 | 0 | 1 | 0 | 2 | 21,634 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,115 | 50 | 1 | 25 | 4 | 4 | 3 | 3 | 1 | 1 | 0 | 1 | 25,482 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2,067 | 42 | 1 | 6 | 2 | 4 | 3 | 1 | 1 | 3 | 0 | 0 | 21,062 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4,801 | 43 | 1 | 33 | 3 | 4 | 5 | 5 | 1 | 3 | 0 | 1 | 31,869 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1,383 | 36 | 1 | 15 | 3 | 1 | 4 | 2 | 0 | 5 | 1 | 0 | 17,810 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1,350 | 27 | 3 | 8 | 2 | 1 | 3 | 1 | 0 | 1 | 0 | 1 | 21,500 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,288 | 29 | 3 | 16 | 4 | 4 | 3 | 3 | 0 | 3 | 1 | 2 | 23,931 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2,690 | 34 | 1 | 12 | 4 | 5 | 3 | 3 | 0 | 2 | 0 | 3 | 21,589 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3,576 | 41 | 3 | 21 | 3 | 4 | 5 | 3 | 0 | 3 | 0 | 2 | 23,317 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,866 | 32 | 3 | 20 | 4 | 5 | 5 | 7 | 1 | 1 | 1 | 1 | 20,980 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1,947 | 50 | 2 | 9 | 3 | 3 | 4 | 2 | 0 | 1 | 1 | 2 | 33,200 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1,940 | 24 | 3 | 30 | 2 | 3 | 3 | 1 | 0 | 4 | 1 | 1 | 17,400 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,511 | 43 | 1 | 7 | 3 | 5 | 3 | 2 | 1 | 3 | 0 | 1 | 24,740 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1,148 | 39 | 1 | 16 | 3 | 3 | 5 | 3 | 0 | 5 | 1 | 2 | 20,377 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1,740 | 55 | 1 | 6 | 2 | 3 | 5 | 1 | 1 | 1 | 1 | 1 | 34,045 |
1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4,849 | 33 | 1 | 10 | 3 | 4 | 3 | 3 | 0 | 4 | 1 | 1 | 24,887 |
0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 3,699 | 34 | 3 | 23 | 4 | 4 | 5 | 4 | 1 | 5 | 0 | 1 | 27,242 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4,027 | 25 | 1 | 25 | 3 | 4 | 3 | 2 | 0 | 4 | 0 | 1 | 21,452 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1,613 | 30 | 1 | 24 | 3 | 3 | 3 | 2 | 0 | 1 | 1 | 2 | 17,632 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4,206 | 32 | 3 | 12 | 3 | 4 | 4 | 3 | 0 | 3 | 0 | 1 | 21,467 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2,757 | 34 | 1 | 12 | 4 | 4 | 4 | 8 | 0 | 3 | 1 | 3 | 30,556 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2,191 | 50 | 1 | 30 | 3 | 3 | 3 | 4 | 1 | 4 | 1 | 2 | 28,973 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 673 | 33 | 1 | 6 | 3 | 4 | 5 | 4 | 1 | 4 | 0 | 0 | 17,799 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3,264 | 36 | 3 | 18 | 3 | 4 | 3 | 3 | 0 | 5 | 0 | 1 | 23,646 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2,645 | 50 | 1 | 25 | 4 | 4 | 3 | 3 | 1 | 2 | 0 | 2 | 25,482 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3,648 | 49 | 3 | 14 | 4 | 4 | 3 | 4 | 1 | 4 | 1 | 2 | 21,333 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3,412 | 37 | 3 | 14 | 3 | 2 | 5 | 4 | 0 | 1 | 1 | 1 | 23,317 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 143 | 30 | 1 | 24 | 3 | 3 | 3 | 2 | 0 | 2 | 1 | 0 | 17,632 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3,867 | 23 | 1 | 7 | 4 | 4 | 3 | 2 | 0 | 3 | 0 | 3 | 22,053 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1,651 | 34 | 1 | 33 | 3 | 3 | 4 | 3 | 0 | 3 | 0 | 0 | 17,311 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,005 | 52 | 3 | 28 | 4 | 4 | 3 | 2 | 1 | 5 | 0 | 3 | 24,119 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3,192 | 27 | 3 | 36 | 4 | 6 | 5 | 2 | 0 | 3 | 0 | 1 | 23,647 |
1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 706 | 40 | 3 | 30 | 3 | 1 | 4 | 5 | 1 | 3 | 1 | 2 | 28,194 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 891 | 44 | 1 | 8 | 3 | 1 | 3 | 2 | 0 | 4 | 1 | 0 | 17,011 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4,676 | 27 | 1 | 9 | 3 | 4 | 5 | 8 | 1 | 5 | 0 | 1 | 20,720 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3,308 | 42 | 1 | 12 | 4 | 5 | 5 | 8 | 0 | 3 | 1 | 1 | 20,785 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2,939 | 28 | 3 | 9 | 3 | 4 | 5 | 2 | 0 | 5 | 0 | 2 | 21,719 |
0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4,588 | 59 | 1 | 12 | 3 | 5 | 4 | 4 | 1 | 5 | 1 | 2 | 29,230 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3,430 | 40 | 3 | 28 | 3 | 5 | 3 | 5 | 1 | 1 | 0 | 2 | 24,798 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3,767 | 29 | 2 | 7 | 3 | 4 | 3 | 3 | 0 | 4 | 0 | 2 | 21,384 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3,004 | 35 | 1 | 15 | 3 | 4 | 5 | 5 | 0 | 5 | 1 | 1 | 23,799 |
0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1,039 | 34 | 2 | 15 | 2 | 3 | 3 | 2 | 0 | 1 | 1 | 0 | 17,742 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1,018 | 36 | 1 | 10 | 2 | 4 | 3 | 2 | 0 | 5 | 1 | 1 | 20,810 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 147 | 41 | 1 | 16 | 3 | 4 | 5 | 5 | 0 | 2 | 1 | 0 | 32,181 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1,563 | 46 | 1 | 6 | 2 | 4 | 5 | 3 | 1 | 1 | 1 | 1 | 25,673 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2,904 | 27 | 3 | 36 | 3 | 4 | 3 | 7 | 0 | 5 | 1 | 1 | 22,984 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4,732 | 32 | 3 | 27 | 4 | 2 | 3 | 2 | 0 | 5 | 1 | 1 | 21,469 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3,961 | 38 | 1 | 26 | 4 | 4 | 4 | 6 | 0 | 4 | 0 | 2 | 21,700 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,035 | 34 | 3 | 29 | 4 | 4 | 4 | 2 | 0 | 1 | 0 | 1 | 24,824 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 962 | 51 | 2 | 11 | 2 | 3 | 4 | 2 | 1 | 3 | 1 | 1 | 29,026 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 553 | 40 | 1 | 8 | 2 | 4 | 3 | 1 | 1 | 3 | 1 | 1 | 17,342 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1,845 | 49 | 1 | 13 | 2 | 4 | 3 | 1 | 0 | 1 | 1 | 0 | 25,965 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3,765 | 48 | 1 | 16 | 4 | 4 | 3 | 6 | 0 | 3 | 1 | 1 | 20,783 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1,724 | 29 | 3 | 26 | 2 | 3 | 3 | 3 | 0 | 1 | 1 | 0 | 21,931 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4,384 | 25 | 3 | 31 | 3 | 4 | 3 | 2 | 0 | 4 | 1 | 2 | 21,078 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2,340 | 35 | 3 | 23 | 3 | 3 | 5 | 4 | 1 | 3 | 0 | 2 | 23,966 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,257 | 30 | 3 | 17 | 3 | 5 | 4 | 3 | 1 | 5 | 1 | 1 | 26,946 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1,662 | 35 | 1 | 29 | 2 | 4 | 3 | 4 | 1 | 4 | 1 | 0 | 20,916 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1,847 | 36 | 1 | 8 | 3 | 3 | 3 | 5 | 0 | 5 | 1 | 0 | 17,543 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1,126 | 50 | 3 | 5 | 2 | 3 | 3 | 5 | 1 | 5 | 0 | 1 | 34,331 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4,689 | 44 | 3 | 32 | 4 | 5 | 3 | 7 | 0 | 4 | 1 | 2 | 29,476 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 811 | 38 | 3 | 8 | 2 | 3 | 4 | 1 | 0 | 4 | 1 | 0 | 22,351 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3,624 | 37 | 1 | 14 | 4 | 4 | 4 | 4 | 0 | 1 | 0 | 3 | 20,691 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2,754 | 32 | 2 | 9 | 4 | 5 | 5 | 5 | 0 | 3 | 0 | 2 | 25,088 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2,890 | 42 | 3 | 17 | 3 | 4 | 3 | 2 | 0 | 2 | 0 | 2 | 24,908 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 523 | 50 | 1 | 34 | 3 | 2 | 3 | 2 | 1 | 2 | 1 | 2 | 18,221 |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4,393 | 25 | 1 | 14 | 3 | 4 | 3 | 3 | 1 | 4 | 0 | 1 | 21,564 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 853 | 19 | 1 | 15 | 2 | 3 | 5 | 2 | 0 | 3 | 0 | 0 | 17,552 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4,598 | 41 | 3 | 17 | 4 | 5 | 4 | 4 | 0 | 4 | 0 | 1 | 28,383 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2,909 | 47 | 1 | 25 | 3 | 4 | 3 | 7 | 0 | 3 | 1 | 1 | 29,205 |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3,123 | 32 | 3 | 27 | 3 | 4 | 3 | 3 | 0 | 2 | 1 | 1 | 25,610 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 750 | 44 | 3 | 34 | 2 | 1 | 3 | 4 | 1 | 2 | 1 | 1 | 28,320 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2,983 | 51 | 3 | 15 | 3 | 4 | 4 | 2 | 0 | 2 | 1 | 1 | 22,553 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2,325 | 37 | 1 | 7 | 2 | 4 | 3 | 2 | 0 | 1 | 0 | 0 | 21,474 |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3,552 | 36 | 1 | 7 | 4 | 5 | 5 | 3 | 0 | 1 | 0 | 3 | 21,128 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2,780 | 30 | 1 | 15 | 4 | 6 | 5 | 3 | 1 | 3 | 1 | 2 | 20,797 |
0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,586 | 43 | 3 | 21 | 4 | 5 | 3 | 2 | 0 | 3 | 1 | 1 | 24,922 |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,234 | 28 | 3 | 9 | 4 | 4 | 3 | 3 | 1 | 4 | 0 | 2 | 23,156 |
0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,176 | 33 | 1 | 9 | 3 | 5 | 5 | 6 | 0 | 4 | 0 | 2 | 20,854 |
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