


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

import yaml


class     __UpperCAmelCase							(       yaml.SafeLoader							):


     """simple docstring"""


     def 	snake_case_  (	self  ,       __A    ):
        __a					=  [self.constructed_objects[key_node] for key_node, _ in node.value]
        __a					=  [tuple(__A    ) if isinstance(__A  ,       __A    ) else key for key in keys]
        __a					=  Counter(__A    )
        __a					=  [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  ,       __A  ,       __A=False    ):
        __a					=  super().construct_mapping(__A  ,       deep=__A    )
        self._check_no_duplicates_on_constructed_node(__A    )
        return mapping







def  a   (lowerCAmelCase__   ):
   __a					=  list(readme_content.splitlines()   )
   if full_content and full_content[0] == "---" and "---" in full_content[1:]:
      __a					=  full_content[1:].index("""---"""   ) + 1
      __a					=  """\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"""
     # class attributes
     _lowerCamelCase   =      {"""train_eval_index"""}  # train-eval-index in the YAML metadata


     @classmethod
     def 	snake_case_  (	cls  ,       __A    ):
        with open(__A  ,       encoding="""utf-8"""    ) as readme_file:
           __a	,    __a					=  _split_yaml_from_readme(readme_file.read()    )
        if yaml_string is not None:
           return cls.from_yaml_string(__A    )
        else:
           return cls()


     def 	snake_case_  (	self  ,       __A    ):
        if path.exists():
           with open(__A  ,       encoding="""utf-8"""    ) as readme_file:
              __a					=  readme_file.read()
        else:
           __a					=  None
        __a					=  self._to_readme(__A    )
        with open(__A  ,       """w"""  ,       encoding="""utf-8"""    ) as readme_file:
           readme_file.write(__A    )


     def 	snake_case_  (	self  ,       __A = None    ):
        if readme_content is not None:
           __a	,    __a					=  _split_yaml_from_readme(__A    )
           __a					=  """---\n""" + self.to_yaml_string() + """---\n""" + content
        else:
           __a					=  """---\n""" + self.to_yaml_string() + """---\n"""
        return full_content


     @classmethod
     def 	snake_case_  (	cls  ,       __A    ):
        __a					=  yaml.load(__A  ,       Loader=_NoDuplicateSafeLoader    ) or {}

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


     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=__A  ,       allow_unicode=__A  ,       encoding="""utf-8"""  ,       ).decode("""utf-8"""    )







SCREAMING_SNAKE_CASE							    =							{
    '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

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

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




import argparse
from collections import defaultdict

import yaml


_lowercase:	List[Any]       			=		'''docs/source/en/_toctree.yml'''






def _lowerCamelCase  (		snake_case  ):
							_lowerCAmelCase							=							defaultdict(snake_case  )
							_lowerCAmelCase							=							[]
							_lowerCAmelCase							=							[]
							for doc in doc_list:
														if "local" in doc:
																					counts[doc["local"]] += 1

														if doc["title"].lower() == "overview":
																					overview_doc.append({'local': doc['local'], 'title': doc['title']}  )
														else:
																					new_doc_list.append(snake_case  )

							_lowerCAmelCase							=							new_doc_list
							_lowerCAmelCase							=							[key for key, value in counts.items() if value > 1]

							_lowerCAmelCase							=							[]
							for duplicate_key in duplicates:
														_lowerCAmelCase							=							list({doc['title'] for doc in doc_list if doc['local'] == duplicate_key}  )
														if len(snake_case  ) > 1:
																					raise ValueError(
																					    F'{duplicate_key} is present several times in the documentation table of content at '
																					    '`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '
																					    'others.'  )
														# Only add this once
														new_doc.append({'local': duplicate_key, 'title': titles[0]}  )

							# Add none duplicate-keys
							new_doc.extend([doc for doc in doc_list if 'local' not in counts or counts[doc['local']] == 1]  )
							_lowerCAmelCase							=							sorted(snake_case     , key=lambda snake_case  : s["title"].lower()  )

							# "overview" gets special treatment and is always first
							if len(snake_case  ) > 1:
														raise ValueError('{doc_list} has two \'overview\' docs which is not allowed.'  )

							overview_doc.extend(snake_case  )

							# Sort
							return overview_doc






def _lowerCamelCase  (		snake_case=False  ):
							with open(snake_case     , encoding='utf-8'  ) as f:
														_lowerCAmelCase							=							yaml.safe_load(f.read()  )

							# Get to the API doc
							_lowerCAmelCase							=							0
							while content[api_idx]["title"] != "API":
														api_idx += 1
							_lowerCAmelCase							=							content[api_idx]['sections']

							# Then to the model doc
							_lowerCAmelCase							=							0
							while api_doc[scheduler_idx]["title"] != "Schedulers":
														scheduler_idx += 1

							_lowerCAmelCase							=							api_doc[scheduler_idx]['sections']
							_lowerCAmelCase							=							clean_doc_toc(snake_case  )

							_lowerCAmelCase							=							False
							if new_scheduler_doc != scheduler_doc:
														_lowerCAmelCase							=							True
														if overwrite:
																					_lowerCAmelCase							=							new_scheduler_doc

							if diff:
														if overwrite:
																					_lowerCAmelCase							=							api_doc
																					with open(snake_case     , 'w'     , encoding='utf-8'  ) as f:
																												f.write(yaml.dump(snake_case     , allow_unicode=snake_case  )  )
														else:
																					raise ValueError(
																					    'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'  )






def _lowerCamelCase  (		snake_case=False  ):
							with open(snake_case     , encoding='utf-8'  ) as f:
														_lowerCAmelCase							=							yaml.safe_load(f.read()  )

							# Get to the API doc
							_lowerCAmelCase							=							0
							while content[api_idx]["title"] != "API":
														api_idx += 1
							_lowerCAmelCase							=							content[api_idx]['sections']

							# Then to the model doc
							_lowerCAmelCase							=							0
							while api_doc[pipeline_idx]["title"] != "Pipelines":
														pipeline_idx += 1

							_lowerCAmelCase							=							False
							_lowerCAmelCase							=							api_doc[pipeline_idx]['sections']
							_lowerCAmelCase							=							[]

							# sort sub pipeline docs
							for pipeline_doc in pipeline_docs:
														if "section" in pipeline_doc:
																					_lowerCAmelCase							=							pipeline_doc['section']
																					_lowerCAmelCase							=							clean_doc_toc(snake_case  )
																					if overwrite:
																												_lowerCAmelCase							=							new_sub_pipeline_doc
														new_pipeline_docs.append(snake_case  )

							# sort overall pipeline doc
							_lowerCAmelCase							=							clean_doc_toc(snake_case  )

							if new_pipeline_docs != pipeline_docs:
														_lowerCAmelCase							=							True
														if overwrite:
																					_lowerCAmelCase							=							new_pipeline_docs

							if diff:
														if overwrite:
																					_lowerCAmelCase							=							api_doc
																					with open(snake_case     , 'w'     , encoding='utf-8'  ) as f:
																												f.write(yaml.dump(snake_case     , allow_unicode=snake_case  )  )
														else:
																					raise ValueError(
																					    'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'  )


if __name__ == "__main__":
				_lowercase:	Tuple       			=		argparse.ArgumentParser()
				parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
				_lowercase:	Optional[Any]       			=		parser.parse_args()

				check_scheduler_doc(args.fix_and_overwrite)
				check_pipeline_doc(args.fix_and_overwrite)






