



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()					)




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()