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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 ({'Occupation', 'ProdTaken', 'MaritalStatus', 'ProductPitched', 'TypeofContact', 'Gender', 'Designation', 'CustomerID'}) and 23 missing columns ({'MaritalStatus_Divorced', 'Occupation_Small Business', 'ProductPitched_Super Deluxe', 'MaritalStatus_Married', 'Gender_Fe Male', 'MaritalStatus_Single', 'Occupation_Salaried', 'Occupation_Large Business', 'Gender_Female', 'Designation_Senior Manager', 'ProductPitched_King', 'TypeofContact_Company Invited', 'Occupation_Free Lancer', 'Gender_Male', 'MaritalStatus_Unmarried', 'ProductPitched_Deluxe', 'ProductPitched_Standard', 'Designation_Executive', 'Designation_AVP', 'TypeofContact_Self Enquiry', 'ProductPitched_Basic', 'Designation_Manager', 'Designation_VP'}).
This happened while the csv dataset builder was generating data using
hf://datasets/akskhare/Tourism-Packages/tourism_data.csv (at revision a165f2794aee1eea2625502eca85a93d7f97ac15)
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
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
{'Unnamed: 0': Value('int64'), 'Age': Value('float64'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'NumberOfPersonVisiting': Value('int64'), 'NumberOfFollowups': Value('float64'), 'PreferredPropertyStar': Value('float64'), 'NumberOfTrips': Value('float64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('float64'), 'MonthlyIncome': Value('float64'), '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'), 'ProductPitched_Basic': Value('float64'), 'ProductPitched_Deluxe': Value('float64'), 'ProductPitched_King': Value('float64'), 'ProductPitched_Standard': Value('float64'), 'ProductPitched_Super Deluxe': 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')}
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 8 new columns ({'Occupation', 'ProdTaken', 'MaritalStatus', 'ProductPitched', 'TypeofContact', 'Gender', 'Designation', 'CustomerID'}) and 23 missing columns ({'MaritalStatus_Divorced', 'Occupation_Small Business', 'ProductPitched_Super Deluxe', 'MaritalStatus_Married', 'Gender_Fe Male', 'MaritalStatus_Single', 'Occupation_Salaried', 'Occupation_Large Business', 'Gender_Female', 'Designation_Senior Manager', 'ProductPitched_King', 'TypeofContact_Company Invited', 'Occupation_Free Lancer', 'Gender_Male', 'MaritalStatus_Unmarried', 'ProductPitched_Deluxe', 'ProductPitched_Standard', 'Designation_Executive', 'Designation_AVP', 'TypeofContact_Self Enquiry', 'ProductPitched_Basic', 'Designation_Manager', 'Designation_VP'}).
This happened while the csv dataset builder was generating data using
hf://datasets/akskhare/Tourism-Packages/tourism_data.csv (at revision a165f2794aee1eea2625502eca85a93d7f97ac15)
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.
Unnamed: 0 int64 | Age float64 | CityTier int64 | DurationOfPitch float64 | NumberOfPersonVisiting int64 | NumberOfFollowups float64 | PreferredPropertyStar float64 | NumberOfTrips float64 | Passport int64 | PitchSatisfactionScore int64 | OwnCar int64 | NumberOfChildrenVisiting float64 | MonthlyIncome float64 | 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 | ProductPitched_Basic float64 | ProductPitched_Deluxe float64 | ProductPitched_King float64 | ProductPitched_Standard float64 | ProductPitched_Super Deluxe 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,214 | 44 | 1 | 8 | 3 | 1 | 3 | 2 | 1 | 4 | 1 | 0 | 22,879 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3,829 | 35 | 3 | 20 | 3 | 4 | 3 | 3 | 0 | 1 | 1 | 2 | 27,306 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2,622 | 47 | 3 | 7 | 4 | 4 | 5 | 3 | 0 | 2 | 1 | 2 | 29,131 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1,543 | 32 | 1 | 6 | 3 | 3 | 4 | 2 | 0 | 3 | 1 | 0 | 21,220 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
3,144 | 59 | 1 | 9 | 3 | 4 | 3 | 6 | 0 | 2 | 1 | 2 | 21,157 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
907 | 44 | 3 | 11 | 2 | 3 | 4 | 1 | 0 | 5 | 1 | 1 | 33,213 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
1,426 | 32 | 1 | 35 | 2 | 4 | 4 | 2 | 0 | 3 | 1 | 0 | 17,837 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
4,269 | 27 | 3 | 7 | 3 | 4 | 3 | 3 | 0 | 5 | 0 | 2 | 23,974 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
261 | 38 | 3 | 8 | 2 | 4 | 3 | 4 | 0 | 5 | 1 | 1 | 20,249 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
4,223 | 32 | 1 | 12 | 3 | 4 | 3 | 2 | 1 | 4 | 1 | 1 | 23,499 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
243 | 40 | 1 | 30 | 3 | 3 | 3 | 2 | 0 | 3 | 1 | 1 | 18,319 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
3,533 | 38 | 1 | 20 | 3 | 4 | 3 | 3 | 0 | 1 | 0 | 1 | 22,963 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
228 | 35 | 3 | 6 | 3 | 3 | 3 | 2 | 0 | 5 | 1 | 0 | 23,789 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
1,110 | 35 | 1 | 8 | 3 | 3 | 5 | 2 | 1 | 1 | 1 | 1 | 17,074 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
4,350 | 34 | 1 | 17 | 3 | 6 | 3 | 2 | 0 | 5 | 0 | 1 | 22,086 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
3,870 | 33 | 1 | 36 | 3 | 5 | 4 | 3 | 0 | 3 | 1 | 1 | 21,515 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
87 | 51 | 1 | 15 | 3 | 3 | 3 | 4 | 0 | 3 | 1 | 0 | 17,075 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
1,365 | 29 | 3 | 30 | 2 | 1 | 5 | 2 | 0 | 3 | 1 | 1 | 16,091 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
378 | 34 | 3 | 25 | 3 | 2 | 3 | 1 | 1 | 2 | 1 | 2 | 20,304 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
2,522 | 38 | 1 | 14 | 2 | 4 | 3 | 6 | 0 | 2 | 0 | 1 | 32,342 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
209 | 46 | 1 | 6 | 3 | 3 | 5 | 1 | 0 | 2 | 0 | 0 | 24,396 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
510 | 54 | 2 | 25 | 2 | 3 | 4 | 3 | 0 | 3 | 1 | 0 | 25,725 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2,022 | 56 | 1 | 15 | 2 | 3 | 3 | 1 | 0 | 4 | 0 | 0 | 26,103 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
385 | 30 | 1 | 10 | 2 | 3 | 3 | 19 | 1 | 4 | 1 | 1 | 17,285 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
1,386 | 26 | 1 | 6 | 3 | 3 | 5 | 1 | 0 | 5 | 1 | 2 | 17,867 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
2,060 | 33 | 1 | 13 | 2 | 3 | 3 | 1 | 0 | 4 | 1 | 0 | 26,691 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1,946 | 24 | 1 | 23 | 3 | 4 | 4 | 2 | 0 | 3 | 1 | 1 | 17,127 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
3,768 | 30 | 1 | 36 | 4 | 6 | 3 | 2 | 0 | 5 | 1 | 3 | 25,062 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
1,253 | 33 | 3 | 8 | 3 | 3 | 4 | 1 | 0 | 1 | 0 | 0 | 20,147 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
2,230 | 53 | 3 | 8 | 2 | 4 | 4 | 3 | 0 | 1 | 1 | 0 | 22,525 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3,514 | 29 | 3 | 14 | 3 | 4 | 5 | 2 | 0 | 3 | 1 | 2 | 23,576 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
1,372 | 39 | 1 | 15 | 2 | 3 | 5 | 2 | 0 | 4 | 1 | 0 | 20,151 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
4,366 | 46 | 3 | 9 | 4 | 4 | 4 | 2 | 0 | 5 | 1 | 3 | 23,483 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
2,466 | 35 | 1 | 14 | 3 | 4 | 4 | 2 | 0 | 3 | 1 | 1 | 30,672 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
4,073 | 35 | 3 | 9 | 4 | 4 | 3 | 8 | 0 | 5 | 0 | 1 | 20,909 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
4,596 | 33 | 1 | 7 | 4 | 5 | 4 | 8 | 0 | 3 | 0 | 3 | 21,010 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
2,373 | 29 | 1 | 16 | 2 | 4 | 3 | 2 | 0 | 4 | 1 | 0 | 21,623 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
1,916 | 41 | 3 | 16 | 2 | 3 | 3 | 1 | 0 | 1 | 0 | 1 | 21,230 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
3,268 | 43 | 1 | 36 | 3 | 6 | 3 | 6 | 0 | 3 | 1 | 1 | 22,950 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
4,329 | 35 | 3 | 13 | 3 | 6 | 3 | 2 | 0 | 4 | 0 | 2 | 21,029 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
1,685 | 41 | 3 | 12 | 3 | 3 | 3 | 4 | 1 | 1 | 0 | 0 | 28,591 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
694 | 33 | 1 | 6 | 2 | 4 | 3 | 1 | 0 | 4 | 0 | 0 | 21,949 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
837 | 40 | 1 | 15 | 2 | 3 | 3 | 1 | 0 | 4 | 0 | 0 | 28,499 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
1,852 | 26 | 1 | 9 | 3 | 3 | 5 | 1 | 0 | 3 | 0 | 1 | 18,102 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
1,712 | 41 | 1 | 25 | 2 | 3 | 5 | 3 | 0 | 1 | 0 | 0 | 18,072 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
222 | 37 | 1 | 17 | 2 | 3 | 3 | 2 | 1 | 3 | 0 | 1 | 27,185 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2,145 | 31 | 3 | 13 | 2 | 4 | 3 | 4 | 0 | 4 | 1 | 1 | 17,329 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
4,867 | 45 | 3 | 8 | 3 | 6 | 4 | 8 | 0 | 3 | 0 | 2 | 21,040 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
514 | 33 | 1 | 9 | 3 | 3 | 5 | 2 | 1 | 5 | 1 | 2 | 18,348 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
2,795 | 33 | 1 | 9 | 4 | 4 | 4 | 3 | 0 | 4 | 0 | 1 | 21,048 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
1,074 | 33 | 1 | 14 | 3 | 3 | 3 | 3 | 1 | 3 | 0 | 2 | 21,388 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
402 | 30 | 3 | 18 | 2 | 3 | 3 | 1 | 0 | 2 | 1 | 0 | 21,577 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
547 | 42 | 1 | 25 | 2 | 2 | 3 | 7 | 1 | 3 | 1 | 1 | 17,759 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
1,899 | 46 | 1 | 8 | 2 | 3 | 3 | 7 | 0 | 5 | 1 | 0 | 32,861 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
4,656 | 51 | 1 | 16 | 4 | 4 | 3 | 6 | 0 | 5 | 1 | 3 | 21,058 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
1,880 | 30 | 1 | 8 | 2 | 5 | 3 | 3 | 0 | 1 | 1 | 0 | 21,091 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
2,742 | 37 | 1 | 25 | 3 | 3 | 3 | 6 | 0 | 5 | 0 | 1 | 22,366 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
1,323 | 28 | 2 | 6 | 2 | 3 | 3 | 2 | 0 | 4 | 0 | 1 | 17,706 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
1,357 | 42 | 1 | 12 | 2 | 3 | 5 | 1 | 0 | 3 | 1 | 0 | 28,348 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
617 | 44 | 1 | 10 | 2 | 3 | 4 | 1 | 0 | 2 | 1 | 0 | 20,933 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
3,637 | 39 | 1 | 9 | 3 | 5 | 4 | 3 | 0 | 1 | 1 | 1 | 21,118 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
253 | 42 | 1 | 23 | 2 | 2 | 5 | 4 | 1 | 2 | 0 | 0 | 21,545 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
2,223 | 39 | 1 | 28 | 2 | 3 | 5 | 2 | 1 | 5 | 1 | 1 | 25,880 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
944 | 28 | 1 | 6 | 2 | 5 | 3 | 1 | 0 | 3 | 1 | 0 | 21,674 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
2,079 | 43 | 1 | 20 | 3 | 3 | 5 | 7 | 0 | 5 | 1 | 1 | 32,159 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
3,372 | 45 | 1 | 22 | 4 | 4 | 3 | 3 | 0 | 3 | 0 | 2 | 26,656 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4,382 | 53 | 1 | 13 | 4 | 4 | 5 | 5 | 1 | 4 | 1 | 2 | 24,255 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
4,062 | 42 | 1 | 16 | 4 | 4 | 5 | 4 | 0 | 1 | 0 | 1 | 20,916 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
9 | 36 | 1 | 33 | 3 | 3 | 3 | 7 | 0 | 3 | 1 | 0 | 20,237 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
3,259 | 22 | 1 | 7 | 4 | 5 | 4 | 3 | 1 | 5 | 0 | 3 | 20,748 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
2,664 | 37 | 1 | 12 | 4 | 4 | 4 | 2 | 0 | 2 | 0 | 3 | 24,592 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
3,501 | 30 | 3 | 20 | 3 | 4 | 4 | 7 | 0 | 3 | 0 | 2 | 24,443 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
3,967 | 36 | 1 | 18 | 4 | 5 | 5 | 4 | 1 | 5 | 1 | 3 | 28,562 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
186 | 40 | 1 | 10 | 2 | 3 | 3 | 2 | 0 | 5 | 0 | 1 | 34,033 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
136 | 51 | 1 | 14 | 2 | 5 | 3 | 3 | 0 | 2 | 0 | 1 | 25,650 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
3,835 | 39 | 3 | 7 | 3 | 5 | 5 | 6 | 0 | 3 | 0 | 2 | 21,536 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
390 | 43 | 1 | 18 | 2 | 4 | 4 | 2 | 0 | 3 | 0 | 1 | 29,336 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
40 | 35 | 1 | 10 | 3 | 3 | 3 | 2 | 0 | 4 | 0 | 0 | 16,951 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
2,695 | 40 | 1 | 9 | 4 | 4 | 3 | 2 | 0 | 2 | 1 | 2 | 29,616 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
3,753 | 27 | 3 | 17 | 3 | 4 | 3 | 3 | 0 | 1 | 0 | 1 | 23,362 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
762 | 26 | 1 | 8 | 2 | 3 | 5 | 7 | 1 | 5 | 1 | 0 | 17,042 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
119 | 43 | 3 | 32 | 3 | 3 | 3 | 2 | 1 | 2 | 0 | 0 | 31,959 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
3,339 | 32 | 1 | 18 | 4 | 4 | 5 | 3 | 1 | 2 | 0 | 3 | 25,511 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
2,560 | 35 | 1 | 12 | 3 | 5 | 5 | 4 | 0 | 2 | 0 | 1 | 30,309 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
4,135 | 34 | 1 | 11 | 3 | 5 | 4 | 8 | 0 | 4 | 0 | 2 | 21,300 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
1,016 | 31 | 1 | 14 | 2 | 4 | 4 | 2 | 0 | 4 | 0 | 1 | 16,261 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
4,748 | 35 | 3 | 16 | 4 | 4 | 3 | 3 | 0 | 1 | 0 | 1 | 24,392 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
4,865 | 42 | 3 | 16 | 3 | 6 | 3 | 2 | 0 | 5 | 1 | 2 | 24,829 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
2,030 | 34 | 1 | 14 | 2 | 3 | 5 | 4 | 0 | 5 | 1 | 1 | 20,121 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
2,680 | 34 | 1 | 9 | 3 | 4 | 5 | 2 | 0 | 3 | 1 | 1 | 21,385 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
22 | 34 | 1 | 13 | 2 | 3 | 4 | 1 | 0 | 3 | 1 | 0 | 26,994 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
2,643 | 39 | 1 | 36 | 3 | 4 | 3 | 5 | 0 | 2 | 0 | 2 | 24,939 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
3,965 | 29 | 1 | 12 | 3 | 4 | 3 | 3 | 1 | 1 | 0 | 1 | 22,119 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
1,288 | 35 | 1 | 8 | 2 | 3 | 3 | 3 | 0 | 3 | 0 | 1 | 20,762 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
293 | 26 | 3 | 10 | 2 | 4 | 3 | 2 | 1 | 2 | 1 | 1 | 20,828 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
2,562 | 37 | 1 | 10 | 3 | 4 | 3 | 7 | 0 | 2 | 1 | 1 | 21,513 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
3,734 | 35 | 1 | 16 | 4 | 4 | 5 | 6 | 0 | 3 | 0 | 2 | 24,024 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
4,727 | 40 | 1 | 9 | 3 | 4 | 3 | 2 | 0 | 3 | 1 | 1 | 30,847 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
363 | 33 | 3 | 11 | 2 | 3 | 3 | 2 | 1 | 2 | 1 | 0 | 17,851 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
642 | 38 | 3 | 15 | 3 | 4 | 4 | 1 | 0 | 4 | 0 | 0 | 17,899 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
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