


"""simple docstring"""

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

import yaml





class    lowerCamelCase__						(		yaml.SafeLoader    ):
      def SCREAMING_SNAKE_CASE_	(		self	:	str      ,       A_	:	Tuple							):






       '''simple docstring'''


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






      def SCREAMING_SNAKE_CASE_	(		self	:	Dict      ,       A_	:	Tuple      ,       A_	:	Tuple=False							):






       '''simple docstring'''


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






def lowerCAmelCase_      (				UpperCamelCase__ ):






 """simple docstring"""







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

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





class    lowerCamelCase__						(		_a    ):
      # class attributes
      a :     Optional[int]											=		{"""train_eval_index"""}  # train-eval-index in the YAML metadata
      @classmethod
      def SCREAMING_SNAKE_CASE_	(		cls	:	int      ,       A_	:	Path							):






       '''simple docstring'''


       with open(A_      ,       encoding="""utf-8"""							) as readme_file:
        __lowercase							,		__lowercase									=	_split_yaml_from_readme(readme_file.read()							)
       if yaml_string is not None:
        return cls.from_yaml_string(A_							)
       else:
        return cls()
      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[int]      ,       A_	:	Path							):






       '''simple docstring'''


       if path.exists():
        with open(A_      ,       encoding="""utf-8"""							) as readme_file:
         __lowercase									=	readme_file.read()
       else:
        __lowercase									=	None
       __lowercase									=	self._to_readme(A_							)
       with open(A_      ,       """w"""      ,       encoding="""utf-8"""							) as readme_file:
        readme_file.write(A_							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Union[str, Any]      ,       A_	:	Optional[str] = None							):






       '''simple docstring'''


       if readme_content is not None:
        __lowercase							,		__lowercase									=	_split_yaml_from_readme(A_							)
        __lowercase									=	"""---\n""" + self.to_yaml_string() + """---\n""" + content
       else:
        __lowercase									=	"""---\n""" + self.to_yaml_string() + """---\n"""
       return full_content
      @classmethod
      def SCREAMING_SNAKE_CASE_	(		cls	:	Dict      ,       A_	:	str							):






       '''simple docstring'''


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

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






      def SCREAMING_SNAKE_CASE_	(		self	:	Dict							):






       '''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"""

from __future__ import annotations


def lowerCAmelCase_      (				UpperCamelCase__	: list[float] ):






 """simple docstring"""







 if len(UpperCamelCase__ ) < 2:
  raise ValueError("""Monogons and Digons are not polygons in the Euclidean space""" )
 if any(i <= 0 for i in nums ):
  raise ValueError("""All values must be greater than 0""" )
 __lowercase									=	nums.copy()
 copy_nums.sort()
 return copy_nums[-1] < sum(copy_nums[:-1] )


if __name__ == "__main__":
       import doctest

       doctest.testmod()
