




"""simple docstring"""

import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard
class     A__      (      unittest.TestCase     ):




 def 							a_		(   self  :	List[str]	)					-> Tuple:
      __snake_case          =	{
          """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  :	Optional[int]	)					-> Optional[int]:
      __snake_case          =	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  :	Optional[Any]	)					-> str:
      __snake_case          =	ModelCard.from_dict(self.inputs_dict	)
      __snake_case          =	json.loads(modelcard.to_json_string()	)
      for key, value in self.inputs_dict.items():
           self.assertEqual(obj[key]      ,    lowercase	)




 def 							a_		(   self  :	Tuple	)					-> Optional[int]:
      __snake_case          =	ModelCard.from_dict(self.inputs_dict	)

      with tempfile.TemporaryDirectory() as tmpdirname:
           __snake_case          =	os.path.join(lowercase      ,    """modelcard.json"""	)
           model_card_first.to_json_file(lowercase	)
           __snake_case          =	ModelCard.from_json_file(lowercase	)

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




 def 							a_		(   self  :	Optional[Any]	)					-> Optional[Any]:
      __snake_case          =	ModelCard.from_dict(self.inputs_dict	)

      with tempfile.TemporaryDirectory() as tmpdirname:
           model_card_first.save_pretrained(lowercase	)
           __snake_case          =	ModelCard.from_pretrained(lowercase	)

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








"""simple docstring"""

from itertools import combinations_with_replacement




def       snake_case__	(       lowerCAmelCase   :		int = 100		):
					__snake_case          =	[*list(range(1				,					21		)		), 25]
					__snake_case          =	[2 * x for x in range(1				,					21		)] + [50]
					__snake_case          =	[3 * x for x in range(1				,					21		)]
					__snake_case          =	singles + doubles + triples + [0]

					__snake_case          =	0
					__snake_case          =	42
					__snake_case          =	42
					__snake_case          =	42
					__snake_case          =	42

					for double in doubles:
										for throwa, throwa in combinations_with_replacement(lowerCAmelCase				,					2		):
															__snake_case          =	double + throwa + throwa
															if checkout_total < limit:
																				num_checkouts += 1

					return num_checkouts


if __name__ == "__main__":
		print(f'{solution() = }')


