code: 
  
  
  
  import json
  import os
  import tempfile
  import unittest
  
  from transformers.modelcard import ModelCard
  
  
  
  class 		_snake_case      (			unittest.TestCase				):
  
  
  
  
  
    """simple docstring"""
  
  
  
    def lowercase_		(						self					)	->							Optional[int]:
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      _A           =    {
          '''model_details''': {
              '''Organization''': '''testing''',
              '''Model date''': '''today''',
              '''Model version''': '''v2.1, Developed by Test Corp in 2019.''',
              '''Architecture''': '''Convolutional Neural Network.''',
          },
          '''metrics''': '''BLEU and ROUGE-1''',
          '''evaluation_data''': {
              '''Datasets''': {'''BLEU''': '''My-great-dataset-v1''', '''ROUGE-1''': '''My-short-dataset-v2.1'''},
              '''Preprocessing''': '''See details on https://arxiv.org/pdf/1810.03993.pdf''',
          },
          '''training_data''': {
              '''Dataset''': '''English Wikipedia dump dated 2018-12-01''',
              '''Preprocessing''': (
                  '''Using SentencePiece vocabulary of size 52k tokens. See details on'''
                  ''' https://arxiv.org/pdf/1810.03993.pdf'''
              ),
          },
          '''quantitative_analyses''': {'''BLEU''': 55.1, '''ROUGE-1''': 7_6},
      }
    def lowercase_		(						self					)	->							List[str]:
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      _A           =    ModelCard.from_dict(self.inputs_dict					)
      self.assertTrue(hasattr(a	,    '''model_details'''					)					)
      self.assertTrue(hasattr(a	,    '''intended_use'''					)					)
      self.assertTrue(hasattr(a	,    '''factors'''					)					)
      self.assertTrue(hasattr(a	,    '''metrics'''					)					)
      self.assertTrue(hasattr(a	,    '''evaluation_data'''					)					)
      self.assertTrue(hasattr(a	,    '''training_data'''					)					)
      self.assertTrue(hasattr(a	,    '''quantitative_analyses'''					)					)
      self.assertTrue(hasattr(a	,    '''ethical_considerations'''					)					)
      self.assertTrue(hasattr(a	,    '''caveats_and_recommendations'''					)					)
    def lowercase_		(						self					)	->							Optional[int]:
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      _A           =    ModelCard.from_dict(self.inputs_dict					)
      _A           =    json.loads(modelcard.to_json_string()					)
      for key, value in self.inputs_dict.items():
        self.assertEqual(obj[key]	,    a					)
    def lowercase_		(						self					)	->							int:
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      _A           =    ModelCard.from_dict(self.inputs_dict					)
  
      with tempfile.TemporaryDirectory() as tmpdirname:
        _A           =    os.path.join(a	,    '''modelcard.json'''					)
        model_card_first.to_json_file(a					)
        _A           =    ModelCard.from_json_file(a					)
  
      self.assertEqual(model_card_second.to_dict()	,    model_card_first.to_dict()					)
  
  
  
    def lowercase_		(						self					)	->							int:
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      _A           =    ModelCard.from_dict(self.inputs_dict					)
  
      with tempfile.TemporaryDirectory() as tmpdirname:
        model_card_first.save_pretrained(a					)
        _A           =    ModelCard.from_pretrained(a					)
  
      self.assertEqual(model_card_second.to_dict()	,    model_card_first.to_dict()					)
style_context: 
  
  
  
  def     UpperCAmelCase__ (							__snake_case						,				__snake_case						,				__snake_case						,				__snake_case						,				__snake_case							)   -> None:
    if target == 0:
      answer.append(path.copy()							)
    else:
      for index in range(__snake_case						,				len(__snake_case							)							):
        if target >= candidates[index]:
          path.append(candidates[index]							)
          backtrack(__snake_case						,				__snake_case						,				__snake_case						,				target - candidates[index]						,				__snake_case							)
          path.pop(len(__snake_case							) - 1							)
  
  
  
  
  def     UpperCAmelCase__ (							__snake_case						,				__snake_case							)   -> list:
    _A           =    []  # type: list[int]
    _A           =    []  # type: list[int]
    backtrack(__snake_case						,				__snake_case						,				__snake_case						,				__snake_case						,				0							)
    return answer
  
  
  
  
  def     UpperCAmelCase__ (							)   -> None:
    print(combination_sum([-8, 2.3, 0]						,				1							)							)
  
  
  if __name__ == "__main__":
      import doctest
  
      doctest.testmod()
      main()