

"""simple docstring"""






import re
import tempfile
import unittest
from pathlib import Path

from datasets.utils.metadata import DatasetMetadata
def 		A_	(   __UpperCamelCase     :				str				):
		lowercase										=							min(re.search('''^ +'''       ,	snake_case_				).end() if t.startswith(''' '''				) else 0 for t in string.splitlines()				)
		return "\n".join([line[indent_level:] for line in string.splitlines() if indent_level < len(snake_case_				)]				)


__lowerCAmelCase				      =   '''\\n---\nlanguage:\n- zh\n- en\ntask_ids:\n- sentiment-classification\n---\n# Begin of markdown\n\nSome cool dataset card\n'''

__lowerCAmelCase				      =   '''\\n---\n---\n# Begin of markdown\n\nSome cool dataset card\n'''


__lowerCAmelCase				      =   '''\\n# Begin of markdown\n\nSome cool dataset card\n'''



class 	_lowerCAmelCase    (      unittest.TestCase       ):

							def 					_lowerCAmelCase  ( self       :    Any    )   ->    str:

									"""simple docstring"""
									with tempfile.TemporaryDirectory() as tmp_dir:
											lowercase										=							Path(__SCREAMING_SNAKE_CASE    ) / 'README.md'
											with open(__SCREAMING_SNAKE_CASE ,		'''w+'''    ) as readme_file:
													readme_file.write(__SCREAMING_SNAKE_CASE    )
											lowercase										=							DatasetMetadata.from_readme(__SCREAMING_SNAKE_CASE    )
											self.assertDictEqual(__SCREAMING_SNAKE_CASE ,		{'''language''': ['''zh''', '''en'''], '''task_ids''': ['''sentiment-classification''']}    )

											with open(__SCREAMING_SNAKE_CASE ,		'''w+'''    ) as readme_file:
													readme_file.write(__SCREAMING_SNAKE_CASE    )
											lowercase										=							DatasetMetadata.from_readme(__SCREAMING_SNAKE_CASE    )
											self.assertDictEqual(__SCREAMING_SNAKE_CASE ,		{}    )

											with open(__SCREAMING_SNAKE_CASE ,		'''w+'''    ) as readme_file:
													readme_file.write(__SCREAMING_SNAKE_CASE    )
											lowercase										=							DatasetMetadata.from_readme(__SCREAMING_SNAKE_CASE    )
											self.assertEqual(__SCREAMING_SNAKE_CASE ,		{}    )

							def 					_lowerCAmelCase  ( self       :    List[str]    )   ->    Any:

									"""simple docstring"""
									lowercase										=							_dedent(
									    '''\\n            annotations_creators:\n            - found\n            language_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - question-answering\n            task_ids:\n            - open-domain-qa\n            '''    )
									assert DatasetMetadata.from_yaml_string(__SCREAMING_SNAKE_CASE    )

									lowercase										=							_dedent(
									    '''\\n            annotations_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - question-answering\n            task_ids:\n            - open-domain-qa\n            task_ids:\n            - open-domain-qa\n            '''    )
									with self.assertRaises(__SCREAMING_SNAKE_CASE    ):
											DatasetMetadata.from_yaml_string(__SCREAMING_SNAKE_CASE    )

									lowercase										=							_dedent(
									    '''\\n            annotations_creators:\n            - found\n            language_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - text-classification\n            task_ids:\n            - multi-class-classification\n            paperswithcode_id:\n            - squad\n            configs:\n            - en\n            train-eval-index:\n            - config: en\n              task: text-classification\n              task_id: multi_class_classification\n              splits:\n                train_split: train\n                eval_split: test\n              col_mapping:\n                text: text\n                label: target\n              metrics:\n                - type: accuracy\n                  name: Accuracy\n            extra_gated_prompt: |\n              By clicking on “Access repository” below, you also agree to ImageNet Terms of Access:\n              [RESEARCHER_FULLNAME] (the "Researcher") has requested permission to use the ImageNet database (the "Database") at Princeton University and Stanford University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions:\n              1. Researcher shall use the Database only for non-commercial research and educational purposes.\n            extra_gated_fields:\n              Company: text\n              Country: text\n              I agree to use this model for non-commerical use ONLY: checkbox\n            '''    )
									assert DatasetMetadata.from_yaml_string(__SCREAMING_SNAKE_CASE    )

'''simple docstring'''

def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	int							)       ->	int:
 if number != int(snake_case_							):
  raise ValueError('factorial() only accepts integral values'							)
 if number < 0:
  raise ValueError('factorial() not defined for negative values'							)
 SCREAMING_SNAKE_CASE  :  str								=		1
 for i in range(1   ,     number + 1							):
  value *= i
 return value



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	int							)       ->	int:
 if not isinstance(snake_case_   ,     snake_case_							):
  raise ValueError('factorial() only accepts integral values'							)
 if n < 0:
  raise ValueError('factorial() not defined for negative values'							)
 return 1 if n == 0 or n == 1 else n * factorial(n - 1							)


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   __UpperCAmelCase												=   int(input('Enter a positive integer: ').strip() or 0)
   print(f"""factorial{n} is {factorial(n)}""")


