





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 						lowerCamelCase_	(		UpperCamelCase_       ):
      _a							:  Tuple				= tmp_path / '''file.csv'''
      _a							:  Union[str, Any]				= textwrap.dedent(
          '''\
        header1,header2
        1,2
        10,20
        '''       )
      with open(snake_case_			,					'''w'''       ) as f:
            f.write(snake_case_       )
      return str(snake_case_       )




@pytest.fixture
def 						lowerCamelCase_	(		UpperCamelCase_       ):
      _a							:  List[str]				= tmp_path / '''malformed_file.csv'''
      _a							:  Optional[Any]				= textwrap.dedent(
          '''\
        header1,header2
        1,2
        10,20,
        '''       )
      with open(snake_case_			,					'''w'''       ) as f:
            f.write(snake_case_       )
      return str(snake_case_       )




@pytest.fixture
def 						lowerCamelCase_	(		UpperCamelCase_			,					UpperCamelCase_       ):
      _a							:  List[str]				= tmp_path / '''csv_with_image.csv'''
      _a							:  List[str]				= textwrap.dedent(
          f"""\
        image
        {image_file}
        """       )
      with open(snake_case_			,					'''w'''       ) as f:
            f.write(snake_case_       )
      return str(snake_case_       )




@pytest.fixture
def 						lowerCamelCase_	(		UpperCamelCase_       ):
      _a							:  Dict				= tmp_path / '''csv_with_label.csv'''
      _a							:  int				= textwrap.dedent(
          '''\
        label
        good
        bad
        good
        '''       )
      with open(snake_case_			,					'''w'''       ) as f:
            f.write(snake_case_       )
      return str(snake_case_       )




@pytest.fixture
def 						lowerCamelCase_	(		UpperCamelCase_       ):
      _a							:  Optional[int]				= tmp_path / '''csv_with_int_list.csv'''
      _a							:  Union[str, Any]				= textwrap.dedent(
          '''\
        int_list
        1 2 3
        4 5 6
        7 8 9
        '''       )
      with open(snake_case_			,					'''w'''       ) as f:
            f.write(snake_case_       )
      return str(snake_case_       )




def 						lowerCamelCase_	(		UpperCamelCase_			,					UpperCamelCase_			,					UpperCamelCase_       ):
      _a							:  str				= Csv()
      _a							:  List[Any]				= csv._generate_tables([[csv_file, malformed_csv_file]]       )
      with pytest.raises(snake_case_			,					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(snake_case_       ) in record.message
          for record in caplog.records       )




@require_pil
def 						lowerCamelCase_	(		UpperCamelCase_       ):







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




def 						lowerCamelCase_	(		UpperCamelCase_       ):







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





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












"""simple docstring"""



def 						__lowercase	(  snake_case_    :    int		)  ->int:



    '''simple docstring'''







    __A       :		str							=	1
    for i in range(1							,num + 1		):
        fact *= i
    return fact







def 						__lowercase	(  snake_case_    :    int		)  ->int:



    '''simple docstring'''







    __A       :		str							=	0
    while number > 0:
        __A       :		Optional[int]							=	number % 10
        sum_of_digits += last_digit
        __A       :		Dict							=	number // 10  # Removing the last_digit from the given number
    return sum_of_digits







def 						__lowercase	(  snake_case_    :    int = 100		)  ->int:



    '''simple docstring'''







    __A       :		Optional[int]							=	factorial(snake_case_		)
    __A       :		Optional[Any]							=	split_and_add(snake_case_		)
    return result


if __name__ == "__main__":
       print(solution(int(input("""Enter the Number: """).strip())))




