

"""simple docstring"""






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

import yaml
class        _lowercase					(     yaml.SafeLoader     ):







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      __magic_name__     =      [self.constructed_objects[key_node] for key_node, _ in node.value]
      __magic_name__     =      [tuple(__UpperCamelCase       ) if isinstance(__UpperCamelCase ,						__UpperCamelCase       ) else key for key in keys]
      __magic_name__     =      Counter(__UpperCamelCase       )
      __magic_name__     =      [key for key in counter if counter[key] > 1]
      if duplicate_keys:
       raise TypeError(f'''Got duplicate yaml keys: {duplicate_keys}'''       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_=False       ):
      __magic_name__     =      super().construct_mapping(__UpperCamelCase ,						deep=__UpperCamelCase       )
      self._check_no_duplicates_on_constructed_node(__UpperCamelCase       )
      return mapping





def 	__UpperCamelCase      (   __UpperCamelCase						) ->      Tuple:
 __magic_name__     =      list(readme_content.splitlines()						)
 if full_content and full_content[0] == "---" and "---" in full_content[1:]:
  __magic_name__     =      full_content[1:].index('''---'''						) + 1
  __magic_name__     =      '''\n'''.join(full_content[1:sep_idx]						)
  return yamlblock, "\n".join(full_content[sep_idx + 1 :]						)

 return None, "\n".join(_SCREAMING_SNAKE_CASE						)
class        _lowercase					(     __UpperCAmelCase     ):
     _lowerCamelCase     =       {'''train_eval_index'''}  # train-eval-index in the YAML metadata







     @classmethod
     def 	lowerCAmelCase__    (      cls ,						UpperCamelCase_       ):
      with open(__UpperCamelCase ,						encoding='''utf-8'''       ) as readme_file:
       __magic_name__   ,						__magic_name__     =      _split_yaml_from_readme(readme_file.read()       )
      if yaml_string is not None:
       return cls.from_yaml_string(__UpperCamelCase       )
      else:
       return cls()







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      if path.exists():
       with open(__UpperCamelCase ,						encoding='''utf-8'''       ) as readme_file:
        __magic_name__     =      readme_file.read()
      else:
       __magic_name__     =      None
      __magic_name__     =      self._to_readme(__UpperCamelCase       )
      with open(__UpperCamelCase ,						'''w''' ,						encoding='''utf-8'''       ) as readme_file:
       readme_file.write(__UpperCamelCase       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ = None       ):
      if readme_content is not None:
       __magic_name__   ,						__magic_name__     =      _split_yaml_from_readme(__UpperCamelCase       )
       __magic_name__     =      '''---\n''' + self.to_yaml_string() + '''---\n''' + content
      else:
       __magic_name__     =      '''---\n''' + self.to_yaml_string() + '''---\n'''
      return full_content







     @classmethod
     def 	lowerCAmelCase__    (      cls ,						UpperCamelCase_       ):
      __magic_name__     =      yaml.load(__UpperCamelCase ,						Loader=_NoDuplicateSafeLoader       ) or {}

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







     def 	lowerCAmelCase__    (      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=__UpperCamelCase ,						allow_unicode=__UpperCamelCase ,						encoding='''utf-8''' ,						).decode('''utf-8'''       )


__lowerCamelCase										=		{
    "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

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

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




"""simple docstring"""






from pathlib import Path

import fire





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase      ,   __UpperCamelCase						) ->      Optional[int]:
 __magic_name__     =      Path(__UpperCamelCase						)
 __magic_name__     =      Path(__UpperCamelCase						)
 dest_dir.mkdir(exist_ok=__UpperCamelCase						)
 for path in src_dir.iterdir():
  __magic_name__     =      [x.rstrip() for x in list(path.open().readlines()						)][:n]
  __magic_name__     =      dest_dir.joinpath(path.name						)
  print(__UpperCamelCase						)
  dest_path.open('''w'''						).write('''\n'''.join(__UpperCamelCase						)						)


if __name__ == "__main__":
 fire.Fire(minify)

