






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

import yaml
class       _UpperCAmelCase					(       yaml.SafeLoader	):

				"""simple docstring"""




				def 				lowercase__   (     self						:    Dict,  lowerCamelCase						:    Optional[Any]  ):

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




				def 				lowercase__   (     self						:    List[str],  lowerCamelCase						:    str,  lowerCamelCase						:    str=False  ):

								'''simple docstring'''
								lowercase__    =			super().construct_mapping(lowerCamelCase,  deep=lowerCamelCase  )
								self._check_no_duplicates_on_constructed_node(lowerCamelCase  )
								return mapping






def   a			(						lowerCamelCase_				):






				'''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(lowerCamelCase_				)
class       _UpperCAmelCase					(       A__	):

				"""simple docstring"""




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




				@classmethod
				def 				lowercase__   (     cls						:    Optional[int],  lowerCamelCase						:    Path  ):

								'''simple docstring'''
								with open(lowerCamelCase,  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(lowerCamelCase  )
								else:
												return cls()




				def 				lowercase__   (     self						:    Optional[int],  lowerCamelCase						:    Path  ):

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




				def 				lowercase__   (     self						:    Optional[Any],  lowerCamelCase						:    Optional[str] = None  ):

								'''simple docstring'''
								if readme_content is not None:
												lowercase__ ,						lowercase__    =			_split_yaml_from_readme(lowerCamelCase  )
												lowercase__    =			'''---\n''' + self.to_yaml_string() + '''---\n''' + content
								else:
												lowercase__    =			'''---\n''' + self.to_yaml_string() + '''---\n'''
								return full_content




				@classmethod
				def 				lowercase__   (     cls						:    Optional[int],  lowerCamelCase						:    str  ):

								'''simple docstring'''
								lowercase__    =			yaml.load(lowerCamelCase,  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(**lowerCamelCase  )




				def 				lowercase__   (     self						:    Optional[int]  ):

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



A__	:			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

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

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












from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url
class       _UpperCAmelCase					(       A__	):

				"""simple docstring"""




				lowercase__											=       """"""
				lowercase__											=       """hf-legacy"""  # "hf://"" is reserved for hffs




				def __init__(     self						:    List[str],  lowerCamelCase						:    Optional[DatasetInfo] = None,  lowerCamelCase						:    Optional[str] = None,  **lowerCamelCase						:    str,  ):

								'''simple docstring'''
								super().__init__(self,  **lowerCamelCase  )
								lowercase__    =			repo_info
								lowercase__    =			token
								lowercase__    =			None




				def 				lowercase__   (     self						:    Optional[Any]  ):

								'''simple docstring'''
								if self.dir_cache is None:
												lowercase__    =			{}
												for hf_file in self.repo_info.siblings:
																# TODO(QL): add sizes
																lowercase__    =			{
																    '''name''': hf_file.rfilename,
																    '''size''': None,
																    '''type''': '''file''',
																}
																self.dir_cache.update(
																    {
																        str(lowerCamelCase  ): {'''name''': str(lowerCamelCase  ), '''size''': None, '''type''': '''directory'''}
																        for d in list(PurePosixPath(hf_file.rfilename  ).parents  )[:-1]
																    }  )




				def 				lowercase__   (     self						:    Any,  lowerCamelCase						:    str,  lowerCamelCase						:    str = "rb",  **lowerCamelCase						:    Any,  ):

								'''simple docstring'''
								if not isinstance(self.repo_info,  lowerCamelCase  ):
												raise NotImplementedError(F"""Open is only implemented for dataset repositories, but got {self.repo_info}"""  )
								lowercase__    =			hf_hub_url(self.repo_info.id,  lowerCamelCase,  revision=self.repo_info.sha  )
								return fsspec.open(
								    lowerCamelCase,  mode=lowerCamelCase,  headers=get_authentication_headers_for_url(lowerCamelCase,  use_auth_token=self.token  ),  client_kwargs={'''trust_env''': True},  ).open()




				def 				lowercase__   (     self						:    Dict,  lowerCamelCase						:    Any,  **lowerCamelCase						:    int  ):

								'''simple docstring'''
								self._get_dirs()
								lowercase__    =			self._strip_protocol(lowerCamelCase  )
								if path in self.dir_cache:
												return self.dir_cache[path]
								else:
												raise FileNotFoundError(lowerCamelCase  )




				def 				lowercase__   (     self						:    Optional[Any],  lowerCamelCase						:    List[str],  lowerCamelCase						:    Optional[int]=False,  **lowerCamelCase						:    str  ):

								'''simple docstring'''
								self._get_dirs()
								lowercase__    =			PurePosixPath(path.strip('''/'''  )  )
								lowercase__    =			{}
								for p, f in self.dir_cache.items():
												lowercase__    =			PurePosixPath(p.strip('''/'''  )  )
												lowercase__    =			p.parent
												if root == path:
																lowercase__    =			f
								lowercase__    =			list(paths.values()  )
								if detail:
												return out
								else:
												return sorted(f['''name'''] for f in out  )




