






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

import yaml
class  _UpperCAmelCase   (			yaml.SafeLoader      ):

				"""simple docstring"""




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

								'''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__      :     Dict       =					{
    '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__      :     Dict       =					ap.parse_args()

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












import heapq as hq
import math
from collections.abc import Iterator
class  _UpperCAmelCase   :

				"""simple docstring"""




				def __init__(	self		:       str,    lowerCamelCase		:       List[Any]    ):

								'''simple docstring'''
								lowercase__  					=     str(id_    )
								lowercase__  					=     None
								lowercase__  					=     None
								lowercase__  					=     []
								lowercase__  					=     {}  # {vertex:distance}




				def __lt__(	self		:       Dict,    lowerCamelCase		:       Tuple    ):

								'''simple docstring'''
								return self.key < other.key




				def __repr__(	self		:       Dict    ):

								'''simple docstring'''
								return self.id




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

								'''simple docstring'''
								self.neighbors.append(lowerCamelCase    )




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

								'''simple docstring'''
								lowercase__  					=     weight






def     a     (		lowerCamelCase_						,  lowerCamelCase_						,  lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				# add the neighbors:
				graph[a - 1].add_neighbor(graph[b - 1]							)
				graph[b - 1].add_neighbor(graph[a - 1]							)
				# add the edges:
				graph[a - 1].add_edge(graph[b - 1]						,  lowerCamelCase_							)
				graph[b - 1].add_edge(graph[a - 1]						,  lowerCamelCase_							)






def     a     (		lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     []
				for u in graph:
								lowercase__  					=     math.inf
								lowercase__  					=     None
				lowercase__  					=     0
				lowercase__  					=     graph[:]
				while q:
								lowercase__  					=     min(lowerCamelCase_							)
								q.remove(lowerCamelCase_							)
								for v in u.neighbors:
												if (v in q) and (u.edges[v.id] < v.key):
																lowercase__  					=     u
																lowercase__  					=     u.edges[v.id]
				for i in range(1						,  len(lowerCamelCase_							)							):
								a.append((int(graph[i].id							) + 1, int(graph[i].pi.id							) + 1)							)
				return a






def     a     (		lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				for u in graph:
								lowercase__  					=     math.inf
								lowercase__  					=     None
				lowercase__  					=     0

				lowercase__  					=     list(lowerCamelCase_							)
				hq.heapify(lowerCamelCase_							)

				while h:
								lowercase__  					=     hq.heappop(lowerCamelCase_							)
								for v in u.neighbors:
												if (v in h) and (u.edges[v.id] < v.key):
																lowercase__  					=     u
																lowercase__  					=     u.edges[v.id]
																hq.heapify(lowerCamelCase_							)

				for i in range(1						,  len(lowerCamelCase_							)							):
								yield (int(graph[i].id							) + 1, int(graph[i].pi.id							) + 1)






def     a     (		):






				'''simple docstring'''


if __name__ == "__main__":
							import doctest

							doctest.testmod()




