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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 ({'36month'}) and 1 missing columns ({'12month'}). This happened while the csv dataset builder was generating data using hf://datasets/umarghaffar1/auaint/36month.csv (at revision 1a65f529026b854c26ac330a6a6b61be6fba24ed) 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 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast facilitytype: int64 facilitylocation: int64 age: int64 insurance: int64 defsurgstartdays: int64 surgtype: int64 approach: int64 dischargedays: int64 readmission: int64 clin_n: int64 clin_m: int64 clin_t: int64 race_cat: int64 path_t: int64 path_n: int64 grade_biopsy: int64 gleason_biopsy: int64 surgmarg: int64 lnd: int64 rad_cat_adj: int64 chemo: int64 adt: int64 psacontinuous_final: double 36month: int64 -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3026 to {'facilitytype': Value(dtype='int64', id=None), 'facilitylocation': Value(dtype='int64', id=None), 'age': Value(dtype='int64', id=None), 'insurance': Value(dtype='int64', id=None), 'defsurgstartdays': Value(dtype='int64', id=None), 'surgtype': Value(dtype='int64', id=None), 'approach': Value(dtype='int64', id=None), 'dischargedays': Value(dtype='int64', id=None), 'readmission': Value(dtype='int64', id=None), 'clin_n': Value(dtype='int64', id=None), 'clin_m': Value(dtype='int64', id=None), 'clin_t': Value(dtype='int64', id=None), 'race_cat': Value(dtype='int64', id=None), 'path_t': Value(dtype='int64', id=None), 'path_n': Value(dtype='int64', id=None), 'grade_biopsy': Value(dtype='int64', id=None), 'gleason_biopsy': Value(dtype='int64', id=None), 'surgmarg': Value(dtype='int64', id=None), 'lnd': Value(dtype='int64', id=None), 'rad_cat_adj': Value(dtype='int64', id=None), 'chemo': Value(dtype='int64', id=None), 'adt': Value(dtype='int64', id=None), 'psacontinuous_final': Value(dtype='float64', id=None), '12month': Value(dtype='int64', id=None)} 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 1321, 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 935, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 ({'36month'}) and 1 missing columns ({'12month'}). This happened while the csv dataset builder was generating data using hf://datasets/umarghaffar1/auaint/36month.csv (at revision 1a65f529026b854c26ac330a6a6b61be6fba24ed) 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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facilitytype
int64 | facilitylocation
int64 | age
int64 | insurance
int64 | defsurgstartdays
int64 | surgtype
int64 | approach
int64 | dischargedays
int64 | readmission
int64 | clin_n
int64 | clin_m
int64 | clin_t
int64 | race_cat
int64 | path_t
int64 | path_n
int64 | grade_biopsy
int64 | gleason_biopsy
int64 | surgmarg
int64 | lnd
int64 | rad_cat_adj
int64 | chemo
int64 | adt
int64 | psacontinuous_final
float64 | 12month
int64 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | 5 | 56 | 1 | 68 | 50 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 4.7 | 0 |
2 | 3 | 64 | 1 | 94 | 50 | 1 | 1 | 0 | 0 | 0 | 20 | 2 | 2 | 0 | 3 | 7 | 0 | 1 | 0 | 0 | 0 | 0.42 | 0 |
4 | 3 | 74 | 3 | 60 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 15 | 0 |
2 | 5 | 75 | 3 | 59 | 50 | 1 | 2 | 1 | 0 | 0 | 1 | 4 | 35 | 0 | 4 | 8 | 1 | 1 | 0 | 0 | 0 | 1.1 | 0 |
3 | 6 | 69 | 3 | 43 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 30 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 10.9 | 0 |
4 | 7 | 65 | 1 | 63 | 50 | 5 | 1 | 0 | 0 | 0 | 1 | 1 | 35 | 0 | 4 | 8 | 0 | 1 | 0 | 0 | 0 | 8.6 | 0 |
4 | 3 | 62 | 1 | 106 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 21.200001 | 0 |
4 | 3 | 66 | 3 | 0 | 50 | 1 | 1 | 0 | 0 | 0 | 26 | 3 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 4.3 | 0 |
2 | 4 | 48 | 1 | 76 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 5.3 | 0 |
2 | 2 | 59 | 1 | 53 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 3 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 9 | 0 |
2 | 8 | 64 | 1 | 51 | 50 | 1 | 2 | 0 | 0 | 0 | 26 | 1 | 2 | 0 | 2 | 7 | 1 | 1 | 0 | 0 | 1 | 16 | 0 |
3 | 6 | 62 | 1 | 49 | 50 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 21 | 0 |
3 | 6 | 63 | 2 | 130 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 4.7 | 0 |
4 | 8 | 61 | 1 | 82 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 10 | 0 |
3 | 2 | 61 | 1 | 70 | 50 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 5.6 | 0 |
3 | 2 | 61 | 1 | 202 | 50 | 1 | 0 | 0 | 0 | 0 | 30 | 1 | 30 | 0 | 4 | 8 | 1 | 1 | 0 | 0 | 0 | 5.8 | 0 |
4 | 3 | 64 | 1 | 64 | 50 | 1 | 2 | 0 | 0 | 0 | 23 | 1 | 2 | 0 | 5 | 9 | 0 | 1 | 0 | 0 | 0 | 8.1 | 0 |
4 | 1 | 59 | 1 | 86 | 50 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 4 | 0 |
3 | 1 | 47 | 1 | 243 | 50 | 1 | 3 | 0 | 0 | 0 | 20 | 4 | 2 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 0.5 | 0 |
4 | 3 | 65 | 3 | 97 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 1 | 6 | 1 | 0 | 0 | 0 | 0 | 5.2 | 0 |
4 | 8 | 57 | 4 | 85 | 50 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 1 | 1 | 0 | 0 | 0 | 4.8 | 0 |
3 | 9 | 66 | 3 | 144 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 3.5 | 0 |
4 | 4 | 73 | 3 | 57 | 50 | 1 | 2 | 0 | 0 | 0 | 26 | 1 | 30 | 0 | 5 | 9 | 1 | 1 | 0 | 0 | 0 | 0.46 | 0 |
3 | 2 | 62 | 1 | 92 | 50 | 5 | 2 | 0 | 0 | 0 | 30 | 1 | 30 | 1 | 4 | 8 | 0 | 1 | 0 | 0 | 0 | 6.7 | 0 |
3 | 4 | 59 | 1 | 37 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 1 | 1 | 0 | 0 | 0 | 8.9 | 0 |
4 | 8 | 69 | 3 | 50 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 30 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 4.7 | 0 |
3 | 7 | 67 | 3 | 120 | 50 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 9 | 0 |
3 | 3 | 58 | 1 | 226 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 0.24 | 0 |
4 | 6 | 71 | 3 | 282 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 1 | 7.4 | 0 |
3 | 7 | 59 | 1 | 61 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 1 | 1 | 0 | 0 | 0 | 0.46 | 0 |
1 | 2 | 55 | 1 | 50 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 24 | 0 |
4 | 4 | 57 | 2 | 149 | 50 | 1 | 2 | 0 | 0 | 0 | 20 | 1 | 2 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 3.1 | 0 |
2 | 9 | 56 | 1 | 132 | 50 | 1 | 1 | 0 | 0 | 0 | 26 | 1 | 35 | 0 | 1 | 6 | 1 | 1 | 0 | 0 | 0 | 9.9 | 0 |
4 | 2 | 62 | 1 | 81 | 50 | 5 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 5 | 9 | 1 | 1 | 0 | 0 | 0 | 0.52 | 0 |
2 | 3 | 66 | 3 | 74 | 50 | 5 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 5.5 | 0 |
2 | 3 | 69 | 3 | 75 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 5.6 | 0 |
2 | 6 | 59 | 1 | 162 | 50 | 1 | 1 | 3 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 4.8 | 0 |
3 | 2 | 59 | 1 | 71 | 50 | 5 | 4 | 3 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 7.5 | 0 |
2 | 6 | 74 | 3 | 64 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 3 | 7 | 0 | 1 | 0 | 0 | 0 | 5.2 | 0 |
3 | 1 | 61 | 1 | 134 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 3 | 7 | 1 | 1 | 0 | 0 | 0 | 5.33 | 0 |
4 | 8 | 63 | 1 | 235 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 11.7 | 0 |
4 | 1 | 56 | 1 | 159 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 30 | 0 | 1 | 6 | 1 | 0 | 0 | 0 | 0 | 6.8 | 0 |
2 | 7 | 68 | 3 | 61 | 50 | 1 | 1 | 0 | 0 | 0 | 30 | 1 | 30 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 8.4 | 0 |
3 | 5 | 65 | 3 | 106 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 1 | 0 | 0 | 0 | 0 | 52.599998 | 0 |
3 | 3 | 65 | 1 | 66 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 30 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 14.3 | 0 |
4 | 9 | 62 | 1 | 101 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 10.7 | 0 |
2 | 5 | 55 | 1 | 128 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 3 | 30 | 0 | 3 | 7 | 0 | 1 | 0 | 0 | 0 | 5.7 | 0 |
2 | 9 | 49 | 1 | 77 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 10.4 | 0 |
4 | 8 | 59 | 1 | 110 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 1.8 | 0 |
3 | 4 | 66 | 1 | 71 | 50 | 1 | 3 | 0 | 0 | 0 | 20 | 2 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 7.6 | 0 |
4 | 4 | 59 | 1 | 121 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 5.3 | 0 |
3 | 2 | 63 | 1 | 262 | 50 | 1 | 0 | 0 | 0 | 0 | 20 | 2 | 2 | 0 | 4 | 8 | 0 | 1 | 0 | 0 | 0 | 0.82 | 0 |
4 | 1 | 75 | 3 | 89 | 50 | 1 | 6 | 0 | 0 | 0 | 1 | 1 | 35 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 6.6 | 0 |
3 | 1 | 58 | 1 | 111 | 50 | 5 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 3 | 7 | 0 | 1 | 0 | 0 | 0 | 3.1 | 0 |
3 | 6 | 66 | 3 | 37 | 50 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 5.9 | 0 |
1 | 5 | 73 | 3 | 50 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 30 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 4.4 | 0 |
3 | 3 | 60 | 1 | 65 | 50 | 5 | 1 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 3 | 7 | 0 | 1 | 0 | 0 | 0 | 0.51 | 0 |
4 | 9 | 63 | 1 | 0 | 50 | 1 | 1 | 0 | 0 | 0 | 23 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 7.4 | 0 |
4 | 3 | 69 | 3 | 160 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 4.4 | 0 |
3 | 2 | 69 | 3 | 208 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 1 | 1 | 0 | 0 | 0 | 0.51 | 0 |
1 | 9 | 75 | 3 | 91 | 50 | 1 | 1 | 0 | 0 | 0 | 20 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 2.2 | 0 |
4 | 4 | 68 | 3 | 76 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 30 | 0 | 2 | 7 | 0 | 1 | 1 | 0 | 0 | 6.9 | 0 |
2 | 4 | 60 | 1 | 70 | 50 | 1 | 1 | 2 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 5.7 | 0 |
3 | 6 | 61 | 1 | 186 | 50 | 1 | 2 | 0 | 0 | 0 | 26 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 10.6 | 0 |
3 | 7 | 47 | 1 | 77 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 7 | 0 |
2 | 4 | 70 | 3 | 58 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 4 | 8 | 0 | 1 | 0 | 0 | 0 | 14.4 | 0 |
2 | 9 | 60 | 4 | 160 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 3 | 2 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 4.3 | 0 |
2 | 3 | 62 | 1 | 94 | 50 | 1 | 1 | 0 | 0 | 0 | 26 | 1 | 2 | 0 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 2.7 | 0 |
3 | 3 | 61 | 1 | 211 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 5.1 | 0 |
2 | 2 | 55 | 1 | 110 | 50 | 3 | 3 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 3.8 | 0 |
2 | 4 | 68 | 3 | 70 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 30 | 0 | 2 | 7 | 1 | 1 | 0 | 0 | 0 | 0.36 | 0 |
2 | 6 | 52 | 1 | 40 | 50 | 5 | 1 | 0 | 0 | 0 | 1 | 1 | 35 | 0 | 1 | 6 | 0 | 1 | 1 | 0 | 0 | 70.800003 | 0 |
4 | 3 | 68 | 3 | 137 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 30 | 0 | 3 | 7 | 0 | 1 | 0 | 0 | 0 | 0.84 | 0 |
3 | 2 | 57 | 1 | 0 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 6 | 0 |
3 | 2 | 61 | 1 | 214 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 30 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 0.23 | 0 |
2 | 7 | 58 | 1 | 61 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 7.6 | 0 |
4 | 4 | 64 | 1 | 0 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 2.8 | 0 |
4 | 5 | 68 | 2 | 71 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 6.3 | 0 |
3 | 9 | 66 | 3 | 175 | 50 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 30 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 4.3 | 0 |
2 | 3 | 65 | 1 | 175 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 1 | 0 | 0 | 0 | 0 | 0.69 | 0 |
3 | 4 | 61 | 1 | 79 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 3 | 7 | 0 | 1 | 0 | 0 | 0 | 4.8 | 0 |
4 | 5 | 68 | 4 | 0 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 3 | 35 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 15.6 | 0 |
2 | 4 | 66 | 1 | 43 | 50 | 5 | 3 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 3 | 7 | 0 | 1 | 0 | 0 | 0 | 2.3 | 0 |
3 | 1 | 60 | 1 | 78 | 50 | 1 | 1 | 0 | 0 | 0 | 23 | 1 | 2 | 0 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 1.2 | 0 |
2 | 6 | 56 | 3 | 62 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 8.5 | 0 |
1 | 1 | 64 | 3 | 28 | 50 | 5 | 3 | 0 | 0 | 0 | 1 | 1 | 35 | 0 | 4 | 8 | 0 | 1 | 0 | 0 | 0 | 13.2 | 0 |
2 | 5 | 65 | 3 | 62 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 13 | 0 |
2 | 9 | 75 | 3 | 78 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 0.62 | 0 |
2 | 9 | 66 | 3 | 48 | 50 | 1 | 1 | 0 | 0 | 0 | 26 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 5.2 | 0 |
3 | 5 | 58 | 1 | 29 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 9.8 | 0 |
3 | 2 | 43 | 1 | 115 | 50 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 4.1 | 0 |
2 | 6 | 64 | 2 | 48 | 50 | 1 | 2 | 0 | 0 | 0 | 26 | 2 | 2 | 0 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 6.6 | 0 |
4 | 1 | 53 | 1 | 62 | 50 | 1 | 2 | 0 | 0 | 0 | 1 | 4 | 2 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 7.1 | 0 |
2 | 2 | 68 | 3 | 81 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 30 | 0 | 2 | 7 | 1 | 1 | 0 | 0 | 0 | 0.51 | 0 |
2 | 5 | 60 | 1 | 36 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 5 | 9 | 0 | 1 | 0 | 0 | 0 | 4.8 | 0 |
2 | 6 | 52 | 1 | 92 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 |
3 | 3 | 69 | 1 | 170 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 8.9 | 0 |
3 | 3 | 62 | 1 | 74 | 50 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 3 | 7 | 0 | 1 | 0 | 0 | 0 | 1.14 | 0 |
3 | 8 | 65 | 1 | 239 | 50 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 1.4 | 0 |
3 | 8 | 67 | 1 | 69 | 50 | 5 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 4 | 8 | 0 | 1 | 0 | 0 | 0 | 38.400002 | 0 |
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