


'''simple docstring'''
from collections import Counter
from pathlib import Path
from typing import Optional, Tuple

import yaml




class      lowerCamelCase_  (      yaml.SafeLoader ):






      def lowercase_				(   self							:       Tuple		,		_A							:       Optional[int]					):


          '''simple docstring'''


          UpperCAmelCase__     :						List[Any]						=							[self.constructed_objects[key_node] for key_node, _ in node.value]
          UpperCAmelCase__     :						str						=							[tuple(_A					) if isinstance(_A		,		_A					) else key for key in keys]
          UpperCAmelCase__     :						str						=							Counter(_A					)
          UpperCAmelCase__     :						Union[str, Any]						=							[key for key in counter if counter[key] > 1]
          if duplicate_keys:
              raise TypeError(f"""Got duplicate yaml keys: {duplicate_keys}"""					)






      def lowercase_				(   self							:       Dict		,		_A							:       Dict		,		_A							:       List[str]=False					):


          '''simple docstring'''


          UpperCAmelCase__     :						List[Any]						=							super().construct_mapping(_A		,		deep=_A					)
          self._check_no_duplicates_on_constructed_node(_A					)
          return mapping





def    a__			(   lowerCAmelCase__		)       ->      str:
    UpperCAmelCase__     :						Union[str, Any]						=							list(readme_content.splitlines()		)
    if full_content and full_content[0] == "---" and "---" in full_content[1:]:
        UpperCAmelCase__     :						Any						=							full_content[1:].index('''---'''		) + 1
        UpperCAmelCase__     :						Optional[int]						=							'''\n'''.join(full_content[1:sep_idx]		)
        return yamlblock, "\n".join(full_content[sep_idx + 1 :]		)

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




class      lowerCamelCase_  (      __snake_case ):
      # class attributes
      lowerCAmelCase__							=	{'train_eval_index'}  # train-eval-index in the YAML metadata






      @classmethod
      def lowercase_				(   cls							:       Union[str, Any]		,		_A							:       Optional[Any]					):


          '''simple docstring'''


          with open(_A		,		encoding='''utf-8'''					) as readme_file:
              UpperCAmelCase__     :						Dict						=							_split_yaml_from_readme(readme_file.read()					)
          if yaml_string is not None:
              return cls.from_yaml_string(_A					)
          else:
              return cls()






      def lowercase_				(   self							:       Optional[Any]		,		_A							:       List[str]					):


          '''simple docstring'''


          if path.exists():
              with open(_A		,		encoding='''utf-8'''					) as readme_file:
                  UpperCAmelCase__     :						List[str]						=							readme_file.read()
          else:
              UpperCAmelCase__     :						int						=							None
          UpperCAmelCase__     :						int						=							self._to_readme(_A					)
          with open(_A		,		'''w'''		,		encoding='''utf-8'''					) as readme_file:
              readme_file.write(_A					)






      def lowercase_				(   self							:       List[str]		,		_A							:       Any = None					):


          '''simple docstring'''


          if readme_content is not None:
              UpperCAmelCase__     :						List[Any]						=							_split_yaml_from_readme(_A					)
              UpperCAmelCase__     :						str						=							'''---\n''' + self.to_yaml_string() + '''---\n''' + content
          else:
              UpperCAmelCase__     :						int						=							'''---\n''' + self.to_yaml_string() + '''---\n'''
          return full_content






      @classmethod
      def lowercase_				(   cls							:       List[str]		,		_A							:       Optional[int]					):


          '''simple docstring'''


          UpperCAmelCase__     :						Optional[Any]						=							yaml.load(_A		,		Loader=_NoDuplicateSafeLoader					) or {}

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






      def lowercase_				(   self							:       Tuple					):


          '''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=_A		,		allow_unicode=_A		,		encoding='''utf-8'''		,		).decode('''utf-8'''					)

UpperCamelCase__          = {
    '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

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

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


'''simple docstring'''




import math
from collections.abc import Callable







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__						,							snake_case__		):




    '''simple docstring'''



    A			:  float   =		xa
    A			:  float   =		xa
    while True:
        if x_n == x_na or function(snake_case__		) == function(snake_case__		):
            raise ZeroDivisionError('''float division by zero, could not find root'''		)
        A			:  float   =		x_na - (
            function(snake_case__		) / ((function(snake_case__		) - function(snake_case__		)) / (x_na - x_n))
        )
        if abs(x_na - x_na		) < 10**-5:
            return x_na
        A			:  Any   =		x_na
        A			:  Any   =		x_na







def 						lowerCAmelCase_							(  snake_case__		):




    '''simple docstring'''



    return math.pow(snake_case__						,							3		) - (2 * x) - 5


if __name__ == "__main__":
      print(intersection(f, 3, 3.5))




