'''simple docstring'''
from collections import Counter
from pathlib import Path
from typing import Optional, Tuple

import yaml







class lowerCamelCase							(	yaml.SafeLoader					):




  '''simple docstring'''



  def  lowerCAmelCase__ (      self			:       List[Any]  ,							UpperCAmelCase__			:       List[str]  )				->Tuple:
        UpperCAmelCase_            =  [self.constructed_objects[key_node] for key_node, _ in node.value]
        UpperCAmelCase_            =  [tuple(UpperCamelCase__  ) if isinstance(UpperCamelCase__  ,							UpperCamelCase__  ) else key for key in keys]
        UpperCAmelCase_            =  Counter(UpperCamelCase__  )
        UpperCAmelCase_            =  [key for key in counter if counter[key] > 1]
        if duplicate_keys:
              raise TypeError(f"""Got duplicate yaml keys: {duplicate_keys}"""  )






  def  lowerCAmelCase__ (      self			:       Union[str, Any]  ,							UpperCAmelCase__			:       str  ,							UpperCAmelCase__			:       str=False  )				->List[Any]:
        UpperCAmelCase_            =  super().construct_mapping(UpperCamelCase__  ,							deep=UpperCamelCase__  )
        self._check_no_duplicates_on_constructed_node(UpperCamelCase__  )
        return mapping






def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


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

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







class lowerCamelCase							(	lowercase_					):




  '''simple docstring'''



  lowerCAmelCase__										=	{'''train_eval_index'''}  # train-eval-index in the YAML metadata






  @classmethod
  def  lowerCAmelCase__ (      cls			:       List[Any]  ,							UpperCAmelCase__			:       Path  )				->Any:







        with open(UpperCamelCase__  ,							encoding='''utf-8'''  ) as readme_file:
              UpperCAmelCase_      ,		UpperCAmelCase_            =  _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			:       Union[str, Any]  ,							UpperCAmelCase__			:       Path  )				->Union[str, Any]:







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






  def  lowerCAmelCase__ (      self			:       Any  ,							UpperCAmelCase__			:       Optional[str] = None  )				->Dict:







        if readme_content is not None:
              UpperCAmelCase_      ,		UpperCAmelCase_            =  _split_yaml_from_readme(UpperCamelCase__  )
              UpperCAmelCase_            =  '''---\n''' + self.to_yaml_string() + '''---\n''' + content
        else:
              UpperCAmelCase_            =  '''---\n''' + self.to_yaml_string() + '''---\n'''
        return full_content






  @classmethod
  def  lowerCAmelCase__ (      cls			:       int  ,							UpperCAmelCase__			:       str  )				->Dict:
        UpperCAmelCase_            =  yaml.load(UpperCamelCase__  ,							Loader=_NoDuplicateSafeLoader  ) or {}

        # Convert the YAML keys to DatasetMetadata fields
        UpperCAmelCase_            =  {
            (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			:       int  )				->int:
        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'''  )






lowercase__  :      Union[str, Any]        =					{
    "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

      lowercase__  :      Union[str, Any]        =					ArgumentParser(usage="Validate the yaml metadata block of a README.md file.")
      ap.add_argument("readme_filepath")
      lowercase__  :      List[str]        =					ap.parse_args()

      lowercase__  :      Union[str, Any]        =					Path(args.readme_filepath)
      lowercase__  :      Optional[int]        =					DatasetMetadata.from_readme(readme_filepath)
      print(dataset_metadata)
      dataset_metadata.to_readme(readme_filepath)






'''simple docstring'''
import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


lowercase__  :      Tuple        =					pytest.mark.integration



@pytest.mark.parametrize('''path'''							,    ['''paws''', '''csv''']					)
def  __lowerCamelCase       (      _UpperCamelCase  :  Optional[Any]							,    _UpperCamelCase  :  int					):


      '''simple docstring'''


      inspect_dataset(_UpperCamelCase							,    _UpperCamelCase					)
      UpperCAmelCase_            =  path + '''.py'''
      assert script_name in os.listdir(_UpperCamelCase					)
      assert "__pycache__" not in os.listdir(_UpperCamelCase					)



@pytest.mark.filterwarnings('''ignore:inspect_metric is deprecated:FutureWarning'''					)
@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning'''					)
@pytest.mark.parametrize('''path'''							,    ['''accuracy''']					)
def  __lowerCamelCase       (      _UpperCamelCase  :  Tuple							,    _UpperCamelCase  :  Optional[Any]					):


      '''simple docstring'''


      inspect_metric(_UpperCamelCase							,    _UpperCamelCase					)
      UpperCAmelCase_            =  path + '''.py'''
      assert script_name in os.listdir(_UpperCamelCase					)
      assert "__pycache__" not in os.listdir(_UpperCamelCase					)



@pytest.mark.parametrize(
    '''path, config_name, expected_splits'''							,    [
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]							,    )
def  __lowerCamelCase       (      _UpperCamelCase  :  Optional[Any]							,    _UpperCamelCase  :  Any							,    _UpperCamelCase  :  int					):


      '''simple docstring'''


      UpperCAmelCase_            =  get_dataset_config_info(_UpperCamelCase							,    config_name=_UpperCamelCase					)
      assert info.config_name == config_name
      assert list(info.splits.keys()					) == expected_splits



@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''							,    [
        ('''paws''', None, ValueError),
    ]							,    )
def  __lowerCamelCase       (      _UpperCamelCase  :  Any							,    _UpperCamelCase  :  List[str]							,    _UpperCamelCase  :  Union[str, Any]					):


      '''simple docstring'''


      with pytest.raises(_UpperCamelCase					):
            get_dataset_config_info(_UpperCamelCase							,    config_name=_UpperCamelCase					)



@pytest.mark.parametrize(
    '''path, expected'''							,    [
        ('''squad''', '''plain_text'''),
        ('''acronym_identification''', '''default'''),
        ('''lhoestq/squad''', '''plain_text'''),
        ('''lhoestq/test''', '''default'''),
        ('''lhoestq/demo1''', '''lhoestq--demo1'''),
        ('''dalle-mini/wit''', '''dalle-mini--wit'''),
    ]							,    )
def  __lowerCamelCase       (      _UpperCamelCase  :  Any							,    _UpperCamelCase  :  Optional[Any]					):


      '''simple docstring'''


      UpperCAmelCase_            =  get_dataset_config_names(_UpperCamelCase					)
      assert expected in config_names



@pytest.mark.parametrize(
    '''path, expected_configs, expected_splits_in_first_config'''							,    [
        ('''squad''', ['''plain_text'''], ['''train''', '''validation''']),
        ('''dalle-mini/wit''', ['''dalle-mini--wit'''], ['''train''']),
        ('''paws''', ['''labeled_final''', '''labeled_swap''', '''unlabeled_final'''], ['''train''', '''test''', '''validation''']),
    ]							,    )
def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  Optional[int]							,    _UpperCamelCase  :  int					):


      '''simple docstring'''


      UpperCAmelCase_            =  get_dataset_infos(_UpperCamelCase					)
      assert list(infos.keys()					) == expected_configs
      UpperCAmelCase_            =  expected_configs[0]
      assert expected_config in infos
      UpperCAmelCase_            =  infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()					) == expected_splits_in_first_config



@pytest.mark.parametrize(
    '''path, expected_config, expected_splits'''							,    [
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]							,    )
def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  int							,    _UpperCamelCase  :  str					):


      '''simple docstring'''


      UpperCAmelCase_            =  get_dataset_infos(_UpperCamelCase					)
      assert expected_config in infos
      UpperCAmelCase_            =  infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()					) == expected_splits





@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''							,    [
        ('''paws''', None, ValueError),
    ]							,    )
def  __lowerCamelCase       (      _UpperCamelCase  :  Any							,    _UpperCamelCase  :  Optional[int]							,    _UpperCamelCase  :  Optional[int]					):


      '''simple docstring'''


      with pytest.raises(_UpperCamelCase					):
            get_dataset_split_names(_UpperCamelCase							,    config_name=_UpperCamelCase					)





