

"""simple docstring"""


import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard






class __a   (   unittest.TestCase				):



  def 						A_				(self  :		Optional[Any]   )		->							Optional[Any]:
   __A	:       Dict       =	{
       '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': 76},
   }



  def 						A_				(self  :		Any   )		->							List[Any]:
   __A	:       str       =	ModelCard.from_dict(self.inputs_dict   )
   self.assertTrue(hasattr(lowercase_				,			'model_details'   )   )
   self.assertTrue(hasattr(lowercase_				,			'intended_use'   )   )
   self.assertTrue(hasattr(lowercase_				,			'factors'   )   )
   self.assertTrue(hasattr(lowercase_				,			'metrics'   )   )
   self.assertTrue(hasattr(lowercase_				,			'evaluation_data'   )   )
   self.assertTrue(hasattr(lowercase_				,			'training_data'   )   )
   self.assertTrue(hasattr(lowercase_				,			'quantitative_analyses'   )   )
   self.assertTrue(hasattr(lowercase_				,			'ethical_considerations'   )   )
   self.assertTrue(hasattr(lowercase_				,			'caveats_and_recommendations'   )   )



  def 						A_				(self  :		Tuple   )		->							List[str]:
   __A	:       Optional[Any]       =	ModelCard.from_dict(self.inputs_dict   )
   __A	:       Optional[Any]       =	json.loads(modelcard.to_json_string()   )
   for key, value in self.inputs_dict.items():
    self.assertEqual(obj[key]				,			lowercase_   )



  def 						A_				(self  :		List[str]   )		->							int:
   __A	:       Dict       =	ModelCard.from_dict(self.inputs_dict   )

   with tempfile.TemporaryDirectory() as tmpdirname:
    __A	:       int       =	os.path.join(lowercase_				,			'modelcard.json'   )
    model_card_first.to_json_file(lowercase_   )
    __A	:       Tuple       =	ModelCard.from_json_file(lowercase_   )

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



  def 						A_				(self  :		List[Any]   )		->							Optional[int]:
   __A	:       Optional[Any]       =	ModelCard.from_dict(self.inputs_dict   )

   with tempfile.TemporaryDirectory() as tmpdirname:
    model_card_first.save_pretrained(lowercase_   )
    __A	:       Optional[int]       =	ModelCard.from_pretrained(lowercase_   )

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













"""simple docstring"""


def 				a (     UpperCamelCase_							:				list     ,	UpperCamelCase_							:				int		)  ->		int:
 for index, item in enumerate(UpperCamelCase_		):
  if item == target:
   return index
 return -1




def 				a (     UpperCamelCase_							:				list     ,	UpperCamelCase_							:				int     ,	UpperCamelCase_							:				int     ,	UpperCamelCase_							:				int		)  ->		int:
 if not (0 <= high < len(UpperCamelCase_		) and 0 <= low < len(UpperCamelCase_		)):
  raise Exception('Invalid upper or lower bound!'		)
 if high < low:
  return -1
 if sequence[low] == target:
  return low
 if sequence[high] == target:
  return high
 return rec_linear_search(UpperCamelCase_     ,	low + 1     ,	high - 1     ,	UpperCamelCase_		)


if __name__ == "__main__":
   _UpperCamelCase   :						Any     						= input("""Enter numbers separated by comma:\n""").strip()
   _UpperCamelCase   :						Optional[Any]     						= [int(item.strip()) for item in user_input.split(""",""")]

   _UpperCamelCase   :						List[str]     						= int(input("""Enter a single number to be found in the list:\n""").strip())
   _UpperCamelCase   :						List[Any]     						= linear_search(sequence, target)
   if result != -1:
      print(f'''linear_search({sequence}, {target}) = {result}''')
   else:
      print(f'''{target} was not found in {sequence}''')





