




'''simple docstring'''



from collections import Counter
from pathlib import Path
from typing import Optional, Tuple

import yaml







class 		lowercase_   (			yaml.SafeLoader       ):


   """simple docstring"""

   def 							lowerCAmelCase_      (   self :     Dict  ,				__lowerCamelCase :     Optional[int]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[self.constructed_objects[key_node] for key_node, _ in node.value]
      _SCREAMING_SNAKE_CASE	=				[tuple(__lowerCamelCase   ) if isinstance(__lowerCamelCase  ,				__lowerCamelCase   ) else key for key in keys]
      _SCREAMING_SNAKE_CASE	=				Counter(__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				[key for key in counter if counter[key] > 1]
      if duplicate_keys:
         raise TypeError(F"""Got duplicate yaml keys: {duplicate_keys}"""   )



   def 							lowerCAmelCase_      (   self :     Tuple  ,				__lowerCamelCase :     List[Any]  ,				__lowerCamelCase :     Union[str, Any]=False   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				super().construct_mapping(__lowerCamelCase  ,				deep=__lowerCamelCase   )
      self._check_no_duplicates_on_constructed_node(__lowerCamelCase   )
      return mapping


def 			SCREAMING_SNAKE_CASE_			(							__A    :			str  )			->			Tuple[Optional[str], str]:
   _SCREAMING_SNAKE_CASE	=				list(readme_content.splitlines()  )
   if full_content and full_content[0] == "---" and "---" in full_content[1:]:
      _SCREAMING_SNAKE_CASE	=				full_content[1:].index("---"  ) + 1
      _SCREAMING_SNAKE_CASE	=				"\n".join(full_content[1:sep_idx]  )
      return yamlblock, "\n".join(full_content[sep_idx + 1 :]  )

   return None, "\n".join(__A  )







class 		lowercase_   (			A       ):


   """simple docstring"""

   lowerCamelCase_      =						{'''train_eval_index'''}  # train-eval-index in the YAML metadata



   @classmethod
   def 							lowerCAmelCase_      (   cls :     List[Any]  ,				__lowerCamelCase :     Path   ):

      """simple docstring"""
      with open(__lowerCamelCase  ,				encoding="utf-8"   ) as readme_file:
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				_split_yaml_from_readme(readme_file.read()   )
      if yaml_string is not None:
         return cls.from_yaml_string(__lowerCamelCase   )
      else:
         return cls()



   def 							lowerCAmelCase_      (   self :     str  ,				__lowerCamelCase :     Path   ):

      """simple docstring"""
      if path.exists():
         with open(__lowerCamelCase  ,				encoding="utf-8"   ) as readme_file:
            _SCREAMING_SNAKE_CASE	=				readme_file.read()
      else:
         _SCREAMING_SNAKE_CASE	=				None
      _SCREAMING_SNAKE_CASE	=				self._to_readme(__lowerCamelCase   )
      with open(__lowerCamelCase  ,				"w"  ,				encoding="utf-8"   ) as readme_file:
         readme_file.write(__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     List[Any]  ,				__lowerCamelCase :     Optional[str] = None   ):

      """simple docstring"""
      if readme_content is not None:
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				_split_yaml_from_readme(__lowerCamelCase   )
         _SCREAMING_SNAKE_CASE	=				"---\n" + self.to_yaml_string() + "---\n" + content
      else:
         _SCREAMING_SNAKE_CASE	=				"---\n" + self.to_yaml_string() + "---\n"
      return full_content



   @classmethod
   def 							lowerCAmelCase_      (   cls :     Any  ,				__lowerCamelCase :     str   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				yaml.load(__lowerCamelCase  ,				Loader=_NoDuplicateSafeLoader   ) or {}

      # Convert the YAML keys to DatasetMetadata fields
      _SCREAMING_SNAKE_CASE	=				{
          (key.replace("-"  ,				"_"   ) if key.replace("-"  ,				"_"   ) in cls._FIELDS_WITH_DASHES else key): value
          for key, value in metadata_dict.items()
      }
      return cls(**__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     List[str]   ):

      """simple docstring"""
      return yaml.safe_dump(
          {
              (key.replace("_"  ,				"-"   ) if key in self._FIELDS_WITH_DASHES else key): value
              for key, value in self.items()
          }  ,				sort_keys=__lowerCamelCase  ,				allow_unicode=__lowerCamelCase  ,				encoding="utf-8"  ,				).decode("utf-8"   )


lowerCamelCase_			=						{
    'image-classification': [],
    'translation': [],
    'image-segmentation': [],
    'fill-mask': [],
    'automatic-speech-recognition': [],
    'token-classification': [],
    'sentence-similarity': [],
    'audio-classification': [],
    'question-answering': [],
    'summarization': [],
    'zero-shot-classification': [],
    'table-to-text': [],
    'feature-extraction': [],
    'other': [],
    'multiple-choice': [],
    'text-classification': [],
    'text-to-image': [],
    'text2text-generation': [],
    'zero-shot-image-classification': [],
    'tabular-classification': [],
    'tabular-regression': [],
    'image-to-image': [],
    'tabular-to-text': [],
    'unconditional-image-generation': [],
    'text-retrieval': [],
    'text-to-speech': [],
    'object-detection': [],
    'audio-to-audio': [],
    'text-generation': [],
    'conversational': [],
    'table-question-answering': [],
    'visual-question-answering': [],
    'image-to-text': [],
    'reinforcement-learning': [],
    'voice-activity-detection': [],
    'time-series-forecasting': [],
    'document-question-answering': [],
}


if __name__ == "__main__":
 from argparse import ArgumentParser

 lowerCamelCase_			=						ArgumentParser(usage='Validate the yaml metadata block of a README.md file.')
 ap.add_argument('readme_filepath')
 lowerCamelCase_			=						ap.parse_args()

 lowerCamelCase_			=						Path(args.readme_filepath)
 lowerCamelCase_			=						DatasetMetadata.from_readme(readme_filepath)
 print(dataset_metadata)
 dataset_metadata.to_readme(readme_filepath)







'''simple docstring'''



def 			SCREAMING_SNAKE_CASE_			(							__A    :			str	,					__A    :			str  )			->			str:
   _SCREAMING_SNAKE_CASE	=				len(__A  )
   _SCREAMING_SNAKE_CASE	=				len(__A  )
   _SCREAMING_SNAKE_CASE	=				(
       first_str_length if first_str_length > second_str_length else second_str_length
   )
   _SCREAMING_SNAKE_CASE	=				[]
   for char_count in range(__A  ):
      if char_count < first_str_length:
         output_list.append(first_str[char_count]  )
      if char_count < second_str_length:
         output_list.append(second_str[char_count]  )
   return "".join(__A  )


if __name__ == "__main__":
 print(alternative_string_arrange('AB', 'XYZ'), end=' ')

