





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

import yaml





class UpperCAmelCase_				( yaml.SafeLoader ):


  def 						__UpperCAmelCase     (							self ,__snake_case ):



       """simple docstring"""





       A_          =       [self.constructed_objects[key_node] for key_node, _ in node.value]
       A_          =       [tuple(__snake_case ) if isinstance(__snake_case ,__snake_case ) else key for key in keys]
       A_          =       Counter(__snake_case )
       A_          =       [key for key in counter if counter[key] > 1]
       if duplicate_keys:
            raise TypeError(f'Got duplicate yaml keys: {duplicate_keys}' )




  def 						__UpperCAmelCase     (							self ,__snake_case ,__snake_case=False ):



       """simple docstring"""





       A_          =       super().construct_mapping(__snake_case ,deep=__snake_case )
       self._check_no_duplicates_on_constructed_node(__snake_case )
       return mapping




def      UpperCAmelCase_    (    _UpperCAmelCase							:str				)	->				Tuple[Optional[str], str]:
     '''simple docstring'''


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

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





class UpperCAmelCase_				( _SCREAMING_SNAKE_CASE ):
  # class attributes
  __lowerCAmelCase   :						Union[str, Any]							=   {"""train_eval_index"""}  # train-eval-index in the YAML metadata


  @classmethod
  def 						__UpperCAmelCase     (							cls ,__snake_case ):



       """simple docstring"""





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


  def 						__UpperCAmelCase     (							self ,__snake_case ):



       """simple docstring"""





       if path.exists():
            with open(__snake_case ,encoding='''utf-8''' ) as readme_file:
                 A_          =       readme_file.read()
       else:
            A_          =       None
       A_          =       self._to_readme(__snake_case )
       with open(__snake_case ,'''w''' ,encoding='''utf-8''' ) as readme_file:
            readme_file.write(__snake_case )


  def 						__UpperCAmelCase     (							self ,__snake_case = None ):



       """simple docstring"""





       if readme_content is not None:
            A_   ,    A_          =       _split_yaml_from_readme(__snake_case )
            A_          =       '''---\n''' + self.to_yaml_string() + '''---\n''' + content
       else:
            A_          =       '''---\n''' + self.to_yaml_string() + '''---\n'''
       return full_content


  @classmethod
  def 						__UpperCAmelCase     (							cls ,__snake_case ):



       """simple docstring"""





       A_          =       yaml.load(__snake_case ,Loader=_NoDuplicateSafeLoader ) or {}

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




  def 						__UpperCAmelCase     (							self ):



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




a__      :     List[str]         =		{
    '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

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

      a__      :     Union[str, Any]         =		Path(args.readme_filepath)
      a__      :     int         =		DatasetMetadata.from_readme(readme_filepath)
      print(dataset_metadata)
      dataset_metadata.to_readme(readme_filepath)










import enum
import shutil
import sys


a__   ,				a__      :     int         =		shutil.get_terminal_size()

a__      :     Tuple         =		{'UP': 'A', 'DOWN': 'B', 'RIGHT': 'C', 'LEFT': 'D'}





class UpperCAmelCase_				( enum.Enum ):
  __lowerCAmelCase   :						int							=   0
  __lowerCAmelCase   :						Optional[int]							=   1




def      UpperCAmelCase_    (    _UpperCAmelCase							:Optional[int]  ,						_UpperCAmelCase							:int=""				)	->				str:
     '''simple docstring'''


     sys.stdout.write(str(_UpperCAmelCase				) + end				)
     sys.stdout.flush()

def      UpperCAmelCase_    (    _UpperCAmelCase							:Union[str, Any]  ,						_UpperCAmelCase							:Tuple  ,						_UpperCAmelCase							:Tuple=""				)	->				List[Any]:
     '''simple docstring'''


     forceWrite(f'\u001b[{color}m{content}\u001b[0m'  ,						_UpperCAmelCase				)

def      UpperCAmelCase_    (    )	->				Dict:
     '''simple docstring'''


     forceWrite('''\r'''				)

def      UpperCAmelCase_    (    _UpperCAmelCase							:int  ,						_UpperCAmelCase							:str				)	->				List[Any]:
     '''simple docstring'''


     forceWrite(f'\033[{num_lines}{CURSOR_TO_CHAR[direction.upper()]}'				)

def      UpperCAmelCase_    (    )	->				List[Any]:
     '''simple docstring'''


     forceWrite(''' ''' * TERMINAL_WIDTH				)
     reset_cursor()


def      UpperCAmelCase_    (    )	->				Tuple:
     '''simple docstring'''


     reset_cursor()
     forceWrite('''-''' * TERMINAL_WIDTH				)



