






'''simple docstring'''

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

import yaml






class 							__magic_name__     (	yaml.SafeLoader				):







	"""simple docstring"""



	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Dict:
							lowercase_      :   Tuple        =			[self.constructed_objects[key_node] for key_node, _ in node.value]
							lowercase_      :   Dict        =			[tuple(_lowercase       ) if isinstance(_lowercase  ,      _lowercase       ) else key for key in keys]
							lowercase_      :   Dict        =			Counter(_lowercase       )
							lowercase_      :   Dict        =			[key for key in counter if counter[key] > 1]
							if duplicate_keys:
													raise TypeError(f"Got duplicate yaml keys: {duplicate_keys}"       )







	def        lowerCamelCase__		(							self  ,      _lowercase  ,      _lowercase=False       )						->  Optional[Any]:
							lowercase_      :   Dict        =			super().construct_mapping(_lowercase  ,      deep=_lowercase       )
							self._check_no_duplicates_on_constructed_node(_lowercase       )
							return mapping






def 	_UpperCAmelCase    (  a		:	str							)			->			Tuple[Optional[str], str]:





						"""simple docstring"""
						lowercase_      :   List[str]        =			list(readme_content.splitlines()							)
						if full_content and full_content[0] == "---" and "---" in full_content[1:]:
												lowercase_      :   Union[str, Any]        =			full_content[1:].index('---'							) + 1
												lowercase_      :   List[str]        =			'\n'.join(full_content[1:sep_idx]							)
												return yamlblock, "\n".join(full_content[sep_idx + 1 :]							)

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






class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      Union[str, Any]        =  {'train_eval_index'}  # train-eval-index in the YAML metadata
	@classmethod
	def        lowerCamelCase__		(							cls  ,      _lowercase       )						->  "DatasetMetadata":
							with open(_lowercase  ,      encoding='utf-8'       ) as readme_file:
													lowercase_  ,      lowercase_      :   Dict        =			_split_yaml_from_readme(readme_file.read()       )
							if yaml_string is not None:
													return cls.from_yaml_string(_lowercase       )
							else:
													return cls()
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Optional[Any]:
							if path.exists():
													with open(_lowercase  ,      encoding='utf-8'       ) as readme_file:
																			lowercase_      :   Optional[Any]        =			readme_file.read()
							else:
													lowercase_      :   Tuple        =			None
							lowercase_      :   Any        =			self._to_readme(_lowercase       )
							with open(_lowercase  ,      'w'  ,      encoding='utf-8'       ) as readme_file:
													readme_file.write(_lowercase       )
	def        lowerCamelCase__		(							self  ,      _lowercase = None       )						->  str:
							if readme_content is not None:
													lowercase_  ,      lowercase_      :   Tuple        =			_split_yaml_from_readme(_lowercase       )
													lowercase_      :   List[str]        =			'---\n' + self.to_yaml_string() + '---\n' + content
							else:
													lowercase_      :   int        =			'---\n' + self.to_yaml_string() + '---\n'
							return full_content
	@classmethod
	def        lowerCamelCase__		(							cls  ,      _lowercase       )						->  "DatasetMetadata":
							lowercase_      :   Union[str, Any]        =			yaml.load(_lowercase  ,      Loader=_NoDuplicateSafeLoader       ) or {}

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







	def        lowerCamelCase__		(							self       )						->  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=_lowercase  ,      allow_unicode=_lowercase  ,      encoding='utf-8'  ,      ).decode('utf-8'       )


A:      Union[str, Any]  				=				{
    "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:      Dict  				=				ArgumentParser(usage="Validate the yaml metadata block of a README.md file.")
						ap.add_argument("readme_filepath")
						A:      Union[str, Any]  				=				ap.parse_args()

						A:      List[str]  				=				Path(args.readme_filepath)
						A:      Any  				=				DatasetMetadata.from_readme(readme_filepath)
						print(dataset_metadata)
						dataset_metadata.to_readme(readme_filepath)








'''simple docstring'''

import os
from distutils.util import strtobool






def 	_UpperCAmelCase    (  a		:	Any						,			a		:	int							)			->			Any:





						"""simple docstring"""
						for e in env_keys:
												lowercase_      :   Optional[Any]        =			int(os.environ.get(a						,			-1							)							)
												if val >= 0:
																		return val
						return default






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict=False							)			->			Optional[Any]:





						"""simple docstring"""
						lowercase_      :   Optional[int]        =			os.environ.get(a						,			str(a							)							)
						return strtobool(a							) == 1  # As its name indicates `strtobool` actually returns an int...






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict="no"							)			->			str:





						"""simple docstring"""
						lowercase_      :   List[Any]        =			os.environ.get(a						,			str(a							)							)
						return value
