


import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil







@pytest.fixture
def        SCREAMING_SNAKE_CASE_						(			__A :			List[str]				)	->		Optional[int]:

       """simple docstring"""

       a_					:		List[Any]							=  tmp_path / 'file.csv'
       a_					:		Union[str, Any]							=  textwrap.dedent(
           '\\n        header1,header2\n        1,2\n        10,20\n        '				)
       with open(__A  ,    'w'				) as f:
              f.write(__A				)
       return str(__A				)







@pytest.fixture
def        SCREAMING_SNAKE_CASE_						(			__A :			List[str]				)	->		Union[str, Any]:

       """simple docstring"""

       a_					:		Any							=  tmp_path / 'malformed_file.csv'
       a_					:		str							=  textwrap.dedent(
           '\\n        header1,header2\n        1,2\n        10,20,\n        '				)
       with open(__A  ,    'w'				) as f:
              f.write(__A				)
       return str(__A				)







@pytest.fixture
def        SCREAMING_SNAKE_CASE_						(			__A :			Optional[int]  ,    __A :			Tuple				)	->		List[str]:

       """simple docstring"""

       a_					:		int							=  tmp_path / 'csv_with_image.csv'
       a_					:		int							=  textwrap.dedent(
           F"""\
        image
        {image_file}
        """				)
       with open(__A  ,    'w'				) as f:
              f.write(__A				)
       return str(__A				)







@pytest.fixture
def        SCREAMING_SNAKE_CASE_						(			__A :			str				)	->		Optional[int]:

       """simple docstring"""

       a_					:		str							=  tmp_path / 'csv_with_label.csv'
       a_					:		Optional[int]							=  textwrap.dedent(
           '\\n        label\n        good\n        bad\n        good\n        '				)
       with open(__A  ,    'w'				) as f:
              f.write(__A				)
       return str(__A				)







@pytest.fixture
def        SCREAMING_SNAKE_CASE_						(			__A :			Optional[Any]				)	->		Optional[Any]:

       """simple docstring"""

       a_					:		Optional[Any]							=  tmp_path / 'csv_with_int_list.csv'
       a_					:		Optional[Any]							=  textwrap.dedent(
           '\\n        int_list\n        1 2 3\n        4 5 6\n        7 8 9\n        '				)
       with open(__A  ,    'w'				) as f:
              f.write(__A				)
       return str(__A				)







def        SCREAMING_SNAKE_CASE_						(			__A :			Optional[Any]  ,    __A :			Any  ,    __A :			Any				)	->		int:

       """simple docstring"""

       a_					:		Any							=  Csv()
       a_					:		str							=  csv._generate_tables([[csv_file, malformed_csv_file]]				)
       with pytest.raises(__A  ,    match='Error tokenizing data'				):
              for _ in generator:
                     pass
       assert any(
           record.levelname == 'ERROR'
           and 'Failed to read file' in record.message
           and os.path.basename(__A				) in record.message
           for record in caplog.records				)







@require_pil
def        SCREAMING_SNAKE_CASE_						(			__A :			Optional[int]				)	->		Optional[Any]:

       """simple docstring"""

       with open(__A  ,    encoding='utf-8'				) as f:
              a_					:		Any							=  f.read().splitlines()[1]
       a_					:		str							=  Csv(encoding='utf-8'  ,    features=Features({'image': Image()}				)				)
       a_					:		Optional[Any]							=  csv._generate_tables([[csv_file_with_image]]				)
       a_					:		Any							=  pa.concat_tables([table for _, table in generator]				)
       assert pa_table.schema.field('image'				).type == Image()()
       a_					:		Dict							=  pa_table.to_pydict()['image']
       assert generated_content == [{"path": image_file, "bytes": None}]







def        SCREAMING_SNAKE_CASE_						(			__A :			str				)	->		Tuple:

       """simple docstring"""

       with open(__A  ,    encoding='utf-8'				) as f:
              a_					:		List[str]							=  f.read().splitlines()[1:]
       a_					:		List[str]							=  Csv(encoding='utf-8'  ,    features=Features({'label': ClassLabel(names=['good', 'bad']				)}				)				)
       a_					:		Tuple							=  csv._generate_tables([[csv_file_with_label]]				)
       a_					:		Optional[Any]							=  pa.concat_tables([table for _, table in generator]				)
       assert pa_table.schema.field('label'				).type == ClassLabel(names=['good', 'bad']				)()
       a_					:		Tuple							=  pa_table.to_pydict()['label']
       assert generated_content == [ClassLabel(names=['good', 'bad']				).straint(__A				) for label in labels]







def        SCREAMING_SNAKE_CASE_						(			__A :			int				)	->		Union[str, Any]:

       """simple docstring"""

       a_					:		List[Any]							=  Csv(encoding='utf-8'  ,    sep=','  ,    converters={'int_list': lambda __A				: [int(__A				) for i in x.split()]}				)
       a_					:		Optional[int]							=  csv._generate_tables([[csv_file_with_int_list]]				)
       a_					:		Union[str, Any]							=  pa.concat_tables([table for _, table in generator]				)
       assert pa.types.is_list(pa_table.schema.field('int_list'				).type				)
       a_					:		Tuple							=  pa_table.to_pydict()['int_list']
       assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]






UpperCAmelCase_      : Optional[int]  					=       [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
UpperCAmelCase_      : str  					=       [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
UpperCAmelCase_      : str  					=       {
    0: 'Sunday',
    1: 'Monday',
    2: 'Tuesday',
    3: 'Wednesday',
    4: 'Thursday',
    5: 'Friday',
    6: 'Saturday',
}







def        SCREAMING_SNAKE_CASE_						(			__A :			int  ,    __A :			int  ,    __A :			int				)	->		str:

       """simple docstring"""

       assert len(str(__A				)				) > 2, "year should be in YYYY format"
       assert 1 <= month <= 12, "month should be between 1 to 12"
       assert 1 <= day <= 31, "day should be between 1 to 31"

       # Doomsday algorithm:
       a_					:		List[str]							=  year // 1_00
       a_					:		Optional[int]							=  (5 * (century % 4) + 2) % 7
       a_					:		List[str]							=  year % 1_00
       a_					:		str							=  centurian % 12
       a_					:		List[str]							=  (
           (centurian // 12) + centurian_m + (centurian_m // 4) + century_anchor
       ) % 7
       a_					:		Any							=  (
           DOOMSDAY_NOT_LEAP[month - 1]
           if (year % 4 != 0) or (centurian == 0 and (year % 4_00) == 0)
           else DOOMSDAY_LEAP[month - 1]
       )
       a_					:		Any							=  (dooms_day + day - day_anchor) % 7
       return WEEK_DAY_NAMES[week_day]


if __name__ == "__main__":
   import doctest

   doctest.testmod()


