
"""simple docstring"""







import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard



class 		UpperCAmelCase_	(unittest.TestCase						):
 """simple docstring"""




 def   a      ( self       : List[str] )->					Tuple:



      """simple docstring"""

      UpperCAmelCase_						:    List[str]    					=  {
          """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       : List[str] )->					int:



      """simple docstring"""

      UpperCAmelCase_						:    Optional[Any]    					=  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   a      ( self       : Any )->					int:



      """simple docstring"""

      UpperCAmelCase_						:    int    					=  ModelCard.from_dict(self.inputs_dict )
      UpperCAmelCase_						:    Dict    					=  json.loads(modelcard.to_json_string() )
      for key, value in self.inputs_dict.items():
           self.assertEqual(obj[key]     ,   a_ )




 def   a      ( self       : Any )->					Dict:



      """simple docstring"""

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

      with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCAmelCase_						:    List[str]    					=  os.path.join(a_     ,   """modelcard.json""" )
           model_card_first.to_json_file(a_ )
           UpperCAmelCase_						:    List[str]    					=  ModelCard.from_json_file(a_ )

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






 def   a      ( self       : List[str] )->					List[str]:



      """simple docstring"""

      UpperCAmelCase_						:    Dict    					=  ModelCard.from_dict(self.inputs_dict )

      with tempfile.TemporaryDirectory() as tmpdirname:
           model_card_first.save_pretrained(a_ )
           UpperCAmelCase_						:    Tuple    					=  ModelCard.from_pretrained(a_ )

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



"""simple docstring"""







def 			A_			(					lowercase = 99_8001      )     ->							int:


     """simple docstring"""







     for number in range(n - 1						, 9999						, -1      ):
          UpperCAmelCase_						:    Union[str, Any]    					=  str(lowercase      )

          # checks whether 'str_number' is a palindrome.
          if str_number == str_number[::-1]:
               UpperCAmelCase_						:    List[str]    					=  999

               # if 'number' is a product of two 3-digit numbers
               # then number is the answer otherwise fetch next number.
               while divisor != 99:
                    if (number % divisor == 0) and (len(str(number // divisor      )      ) == 3.0):
                         return number
                    divisor -= 1
     raise ValueError("""That number is larger than our acceptable range."""      )


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

