





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

import yaml



class     _UpperCAmelCase   (   yaml.SafeLoader   ):

  """simple docstring"""


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






  def     lowercase		(    self			:		int ,  lowerCAmelCase_			:		List[Any] ,  lowerCAmelCase_			:		Dict=False					)							->						Optional[Any]:
     __lowerCAmelCase							     =     super().construct_mapping(lowerCAmelCase_ ,  deep=lowerCAmelCase_					)
     self._check_no_duplicates_on_constructed_node(lowerCAmelCase_					)
     return mapping





def   a_   (			lowerCAmelCase_				:      str     ):
   __lowerCAmelCase							     =     list(readme_content.splitlines()     )
   if full_content and full_content[0] == "---" and "---" in full_content[1:]:
      __lowerCAmelCase							     =     full_content[1:].index('---'     ) + 1
      __lowerCAmelCase							     =     '\n'.join(full_content[1:sep_idx]     )
      return yamlblock, "\n".join(full_content[sep_idx + 1 :]     )

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



class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			{"""train_eval_index"""}  # train-eval-index in the YAML metadata






  @classmethod
  def     lowercase		(    cls			:		Optional[Any] ,  lowerCAmelCase_			:		Path					)							->						"DatasetMetadata":
     with open(lowerCAmelCase_ ,  encoding='utf-8'					) as readme_file:
        __lowerCAmelCase     ,     __lowerCAmelCase							     =     _split_yaml_from_readme(readme_file.read()					)
     if yaml_string is not None:
        return cls.from_yaml_string(lowerCAmelCase_					)
     else:
        return cls()






  def     lowercase		(    self			:		Tuple ,  lowerCAmelCase_			:		Path					)							->						Optional[Any]:
     if path.exists():
        with open(lowerCAmelCase_ ,  encoding='utf-8'					) as readme_file:
           __lowerCAmelCase							     =     readme_file.read()
     else:
        __lowerCAmelCase							     =     None
     __lowerCAmelCase							     =     self._to_readme(lowerCAmelCase_					)
     with open(lowerCAmelCase_ ,  'w' ,  encoding='utf-8'					) as readme_file:
        readme_file.write(lowerCAmelCase_					)






  def     lowercase		(    self			:		str ,  lowerCAmelCase_			:		Optional[str] = None					)							->						str:
     if readme_content is not None:
        __lowerCAmelCase     ,     __lowerCAmelCase							     =     _split_yaml_from_readme(lowerCAmelCase_					)
        __lowerCAmelCase							     =     '---\n' + self.to_yaml_string() + '---\n' + content
     else:
        __lowerCAmelCase							     =     '---\n' + self.to_yaml_string() + '---\n'
     return full_content






  @classmethod
  def     lowercase		(    cls			:		List[str] ,  lowerCAmelCase_			:		str					)							->						"DatasetMetadata":
     __lowerCAmelCase							     =     yaml.load(lowerCAmelCase_ ,  Loader=_NoDuplicateSafeLoader					) or {}

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






  def     lowercase		(    self			:		Optional[int]					)							->						str:
     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'					)





_snake_case  :   Optional[int]						   =  {
    '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

     _snake_case  :   List[str]						   =  ArgumentParser(usage='Validate the yaml metadata block of a README.md file.')
     ap.add_argument('readme_filepath')
     _snake_case  :   Any						   =  ap.parse_args()

     _snake_case  :   Dict						   =  Path(args.readme_filepath)
     _snake_case  :   int						   =  DatasetMetadata.from_readme(readme_filepath)
     print(dataset_metadata)
     dataset_metadata.to_readme(readme_filepath)








class     _UpperCAmelCase   :

  """simple docstring"""


  def __init__(    self			:		Union[str, Any] ,  lowerCAmelCase_			:		List[str] ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		Dict					)							->						List[str]:
     __lowerCAmelCase							     =     name
     __lowerCAmelCase							     =     value
     __lowerCAmelCase							     =     weight






  def __repr__(    self			:		Union[str, Any]					)							->						List[str]:
     return f"""{self.__class__.__name__}({self.name}, {self.value}, {self.weight})"""






  def     lowercase		(    self			:		int					)							->						Optional[int]:
     return self.value






  def     lowercase		(    self			:		Optional[Any]					)							->						Union[str, Any]:
     return self.name






  def     lowercase		(    self			:		List[Any]					)							->						Tuple:
     return self.weight






  def     lowercase		(    self			:		int					)							->						Dict:
     return self.value / self.weight





def   a_   (			lowerCAmelCase_				:      Dict,     lowerCAmelCase_				:      int,     lowerCAmelCase_				:      Optional[int]     ):
   __lowerCAmelCase							     =     []
   for i in range(len(lowerCAmelCase_     )     ):
      menu.append(Things(name[i],     value[i],     weight[i]     )     )
   return menu

def   a_   (			lowerCAmelCase_				:      Optional[int],     lowerCAmelCase_				:      List[Any],     lowerCAmelCase_				:      Optional[Any]     ):
   __lowerCAmelCase							     =     sorted(lowerCAmelCase_,     key=lowerCAmelCase_,     reverse=lowerCAmelCase_     )
   __lowerCAmelCase							     =     []
   __lowerCAmelCase     ,     __lowerCAmelCase							     =     0.0, 0.0
   for i in range(len(lowerCAmelCase_     )     ):
      if (total_cost + items_copy[i].get_weight()) <= max_cost:
         result.append(items_copy[i]     )
         total_cost += items_copy[i].get_weight()
         total_value += items_copy[i].get_value()
   return (result, total_value)

def   a_   (			):
   pass


if __name__ == "__main__":
     import doctest

     doctest.testmod()

