import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard





class 	_lowercase		(      unittest.TestCase ):

 def 		SCREAMING_SNAKE_CASE__     (				self			:							str    )     ->		int:

  """simple docstring"""





  UpperCamelCase_      :		Optional[Any]				=      {
      '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 		SCREAMING_SNAKE_CASE__     (				self			:							Tuple    )     ->		Union[str, Any]:

  """simple docstring"""





  UpperCamelCase_      :		Tuple				=      ModelCard.from_dict(self.inputs_dict    )
  self.assertTrue(hasattr(snake_case     ,   'model_details'    )    )
  self.assertTrue(hasattr(snake_case     ,   'intended_use'    )    )
  self.assertTrue(hasattr(snake_case     ,   'factors'    )    )
  self.assertTrue(hasattr(snake_case     ,   'metrics'    )    )
  self.assertTrue(hasattr(snake_case     ,   'evaluation_data'    )    )
  self.assertTrue(hasattr(snake_case     ,   'training_data'    )    )
  self.assertTrue(hasattr(snake_case     ,   'quantitative_analyses'    )    )
  self.assertTrue(hasattr(snake_case     ,   'ethical_considerations'    )    )
  self.assertTrue(hasattr(snake_case     ,   'caveats_and_recommendations'    )    )

 def 		SCREAMING_SNAKE_CASE__     (				self			:							int    )     ->		Optional[Any]:

  """simple docstring"""





  UpperCamelCase_      :		Any				=      ModelCard.from_dict(self.inputs_dict    )
  UpperCamelCase_      :		Union[str, Any]				=      json.loads(modelcard.to_json_string()    )
  for key, value in self.inputs_dict.items():
   self.assertEqual(obj[key]     ,   snake_case    )

 def 		SCREAMING_SNAKE_CASE__     (				self			:							Optional[Any]    )     ->		Optional[Any]:

  """simple docstring"""





  UpperCamelCase_      :		List[Any]				=      ModelCard.from_dict(self.inputs_dict    )

  with tempfile.TemporaryDirectory() as tmpdirname:
   UpperCamelCase_      :		Optional[Any]				=      os.path.join(snake_case     ,   'modelcard.json'    )
   model_card_first.to_json_file(snake_case    )
   UpperCamelCase_      :		Dict				=      ModelCard.from_json_file(snake_case    )

  self.assertEqual(model_card_second.to_dict()     ,   model_card_first.to_dict()    )


 def 		SCREAMING_SNAKE_CASE__     (				self			:							List[Any]    )     ->		List[Any]:

  """simple docstring"""





  UpperCamelCase_      :		List[str]				=      ModelCard.from_dict(self.inputs_dict    )

  with tempfile.TemporaryDirectory() as tmpdirname:
   model_card_first.save_pretrained(snake_case    )
   UpperCamelCase_      :		Tuple				=      ModelCard.from_pretrained(snake_case    )

  self.assertEqual(model_card_second.to_dict()     ,   model_card_first.to_dict()    )




import unittest

from cer import CER


a_					      = CER()





class 	_lowercase		(      unittest.TestCase ):

 def 		SCREAMING_SNAKE_CASE__     (				self			:							int    )     ->		str:

  """simple docstring"""





  UpperCamelCase_      :		List[Any]				=      ['White House']
  UpperCamelCase_      :		Optional[Any]				=      ['white house']
  # S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
  UpperCamelCase_      :		int				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.1818181818    ) < 1e-6    )

 def 		SCREAMING_SNAKE_CASE__     (				self			:							Union[str, Any]    )     ->		List[Any]:

  """simple docstring"""





  UpperCamelCase_      :		str				=      ['were wolf']
  UpperCamelCase_      :		str				=      ['werewolf']
  # S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
  UpperCamelCase_      :		List[str]				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.1111111    ) < 1e-6    )

  UpperCamelCase_      :		Tuple				=      ['werewolf']
  UpperCamelCase_      :		Union[str, Any]				=      ['weae     wolf']
  # S = 1, D = 1, I = 0, N = 8, CER = 0.25
  UpperCamelCase_      :		Optional[int]				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.25    ) < 1e-6    )

  # consecutive whitespaces case 1
  UpperCamelCase_      :		Optional[int]				=      ['were wolf']
  UpperCamelCase_      :		Dict				=      ['were               wolf']
  # S = 0, D = 0, I = 0, N = 9, CER = 0
  UpperCamelCase_      :		Optional[int]				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.0    ) < 1e-6    )

  # consecutive whitespaces case 2
  UpperCamelCase_      :		Optional[Any]				=      ['were   wolf']
  UpperCamelCase_      :		int				=      ['were               wolf']
  # S = 0, D = 0, I = 0, N = 9, CER = 0
  UpperCamelCase_      :		str				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.0    ) < 1e-6    )

 def 		SCREAMING_SNAKE_CASE__     (				self			:							str    )     ->		str:

  """simple docstring"""





  UpperCamelCase_      :		Tuple				=      ['werewolf']
  UpperCamelCase_      :		int				=      ['weaewolf']
  # S = 1, D = 0, I = 0, N = 8, CER = 0.125
  UpperCamelCase_      :		Optional[int]				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.125    ) < 1e-6    )

 def 		SCREAMING_SNAKE_CASE__     (				self			:							Optional[Any]    )     ->		Optional[int]:

  """simple docstring"""





  UpperCamelCase_      :		List[str]				=      ['werewolf']
  UpperCamelCase_      :		Dict				=      ['wereawolf']
  # S = 0, D = 1, I = 0, N = 8, CER = 0.125
  UpperCamelCase_      :		str				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.125    ) < 1e-6    )

 def 		SCREAMING_SNAKE_CASE__     (				self			:							Any    )     ->		str:

  """simple docstring"""





  UpperCamelCase_      :		List[str]				=      ['werewolf']
  UpperCamelCase_      :		Any				=      ['wereolf']
  # S = 0, D = 0, I = 1, N = 8, CER = 0.125
  UpperCamelCase_      :		Optional[Any]				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.125    ) < 1e-6    )

 def 		SCREAMING_SNAKE_CASE__     (				self			:							int    )     ->		Optional[int]:

  """simple docstring"""





  UpperCamelCase_      :		Any				=      ['werewolf']
  UpperCamelCase_      :		str				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertEqual(snake_case     ,   0.0    )

 def 		SCREAMING_SNAKE_CASE__     (				self			:							int    )     ->		Optional[int]:

  """simple docstring"""





  UpperCamelCase_      :		Union[str, Any]				=      ['werewolf', 'I am your father']
  UpperCamelCase_      :		Optional[int]				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertEqual(snake_case     ,   0.0    )

  UpperCamelCase_      :		Any				=      ['werewolf', 'I am your father', 'doge']
  UpperCamelCase_      :		List[str]				=      ['werxwolf', 'I       am your father', 'doge']
  # S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
  UpperCamelCase_      :		Dict				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.03571428    ) < 1e-6    )

 def 		SCREAMING_SNAKE_CASE__     (				self			:							List[str]    )     ->		Dict:

  """simple docstring"""





  UpperCamelCase_      :		Any				=      ['My hovercraft', 'is full of eels']
  UpperCamelCase_      :		Union[str, Any]				=      ['My hovercraft is full', ' of eels']
  # S = 0, D = 0, I = 2, N = 28, CER = 2 / 28
  # whitespace at the front of " of eels" will be strip during preporcessing
  # so need to insert 2 whitespaces
  UpperCamelCase_      :		Optional[int]				=      cer.compute(predictions=snake_case     ,   references=snake_case     ,   concatenate_texts=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.071428    ) < 1e-6    )

 def 		SCREAMING_SNAKE_CASE__     (				self			:							List[Any]    )     ->		Optional[int]:

  """simple docstring"""





  UpperCamelCase_      :		Dict				=      ['我能吞下玻璃而不伤身体']
  UpperCamelCase_      :		int				=      [' 能吞虾玻璃而 不霜身体啦']
  # S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
  UpperCamelCase_      :		Dict				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.4545454545    ) < 1e-6    )

  UpperCamelCase_      :		Union[str, Any]				=      ['我能吞下玻璃', '而不伤身体']
  UpperCamelCase_      :		int				=      ['我    能 吞 下 玻 璃', '而不伤身体']
  # S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
  UpperCamelCase_      :		Any				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertTrue(abs(char_error_rate - 0.454545454545    ) < 1e-6    )

  UpperCamelCase_      :		Any				=      ['我能吞下玻璃而不伤身体']
  UpperCamelCase_      :		int				=      cer.compute(predictions=snake_case     ,   references=snake_case    )
  self.assertFalse(snake_case     ,   0.0    )


 def 		SCREAMING_SNAKE_CASE__     (				self			:							List[Any]    )     ->		int:

  """simple docstring"""





  UpperCamelCase_      :		str				=      ['']
  UpperCamelCase_      :		Optional[Any]				=      ['Hypothesis']
  with self.assertRaises(snake_case    ):
   cer.compute(predictions=snake_case     ,   references=snake_case    )


if __name__ == "__main__":
   unittest.main()



