


'''simple docstring'''



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

import yaml


class 						_snake_case   (       yaml.SafeLoader		):




					def 			snake_case__  ( self							,							_lowerCamelCase):
								UpperCAmelCase__					:   str       				=       [self.constructed_objects[key_node] for key_node, _ in node.value]
								UpperCAmelCase__					:   Dict       				=       [tuple(_lowerCamelCase) if isinstance(_lowerCamelCase							,							_lowerCamelCase) else key for key in keys]
								UpperCAmelCase__					:   Optional[Any]       				=       Counter(_lowerCamelCase)
								UpperCAmelCase__					:   Any       				=       [key for key in counter if counter[key] > 1]
								if duplicate_keys:
											raise TypeError(f'''Got duplicate yaml keys: {duplicate_keys}''')




					def 			snake_case__  ( self							,							_lowerCamelCase							,							_lowerCamelCase=False):
								UpperCAmelCase__					:   Dict       				=       super().construct_mapping(_lowerCamelCase							,							deep=_lowerCamelCase)
								self._check_no_duplicates_on_constructed_node(_lowerCamelCase)
								return mapping







def       _UpperCamelCase (						UpperCamelCase__   ):
			UpperCAmelCase__					:   Dict       				=       list(readme_content.splitlines()   )
			if full_content and full_content[0] == "---" and "---" in full_content[1:]:
						UpperCAmelCase__					:   Optional[Any]       				=       full_content[1:].index("""---"""   ) + 1
						UpperCAmelCase__					:   Any       				=       """\n""".join(full_content[1:sep_idx]   )
						return yamlblock, "\n".join(full_content[sep_idx + 1 :]   )

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


class 						_snake_case   (       a__		):
					# class attributes
					lowerCAmelCase :str						=   {'''train_eval_index'''}  # train-eval-index in the YAML metadata




					@classmethod
					def 			snake_case__  ( cls							,							_lowerCamelCase):
								with open(_lowerCamelCase							,							encoding="""utf-8""") as readme_file:
											UpperCAmelCase__				,    UpperCAmelCase__					:   Optional[int]       				=       _split_yaml_from_readme(readme_file.read())
								if yaml_string is not None:
											return cls.from_yaml_string(_lowerCamelCase)
								else:
											return cls()




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




					def 			snake_case__  ( self							,							_lowerCamelCase = None):
								if readme_content is not None:
											UpperCAmelCase__				,    UpperCAmelCase__					:   List[Any]       				=       _split_yaml_from_readme(_lowerCamelCase)
											UpperCAmelCase__					:   Optional[Any]       				=       """---\n""" + self.to_yaml_string() + """---\n""" + content
								else:
											UpperCAmelCase__					:   Optional[int]       				=       """---\n""" + self.to_yaml_string() + """---\n"""
								return full_content




					@classmethod
					def 			snake_case__  ( cls							,							_lowerCamelCase):
								UpperCAmelCase__					:   Union[str, Any]       				=       yaml.load(_lowerCamelCase							,							Loader=_NoDuplicateSafeLoader) or {}

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




					def 			snake_case__  ( self):
								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""")

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

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



'''simple docstring'''



def       _UpperCamelCase (						UpperCamelCase__   ):
			UpperCAmelCase__					:   List[str]       				=       len(UpperCamelCase__   )
			UpperCAmelCase__					:   List[Any]       				=       sum(UpperCamelCase__   )

			UpperCAmelCase__					:   List[str]       				=       [[False for x in range(s + 1   )] for y in range(n + 1   )]

			for i in range(1	, n + 1   ):
						UpperCAmelCase__					:   int       				=       True

			for i in range(1	, s + 1   ):
						UpperCAmelCase__					:   Dict       				=       False

			for i in range(1	, n + 1   ):
						for j in range(1	, s + 1   ):
									UpperCAmelCase__					:   int       				=       dp[i][j - 1]

									if arr[i - 1] <= j:
												UpperCAmelCase__					:   str       				=       dp[i][j] or dp[i - 1][j - arr[i - 1]]

			for j in range(int(s / 2   )	, -1	, -1   ):
						if dp[n][j] is True:
									UpperCAmelCase__					:   int       				=       s - 2 * j
									break

			return diff