

"""simple docstring"""



import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard



class        a    (							unittest.TestCase					):



    """simple docstring"""



    def 					UpperCamelCase						(  self:			str							):






         """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""": 76},
         }

    def 					UpperCamelCase						(  self:			Dict							):






         """simple docstring"""


         A__				      =	ModelCard.from_dict(self.inputs_dict							)
         self.assertTrue(hasattr(UpperCamelCase     ,    """model_details"""							)							)
         self.assertTrue(hasattr(UpperCamelCase     ,    """intended_use"""							)							)
         self.assertTrue(hasattr(UpperCamelCase     ,    """factors"""							)							)
         self.assertTrue(hasattr(UpperCamelCase     ,    """metrics"""							)							)
         self.assertTrue(hasattr(UpperCamelCase     ,    """evaluation_data"""							)							)
         self.assertTrue(hasattr(UpperCamelCase     ,    """training_data"""							)							)
         self.assertTrue(hasattr(UpperCamelCase     ,    """quantitative_analyses"""							)							)
         self.assertTrue(hasattr(UpperCamelCase     ,    """ethical_considerations"""							)							)
         self.assertTrue(hasattr(UpperCamelCase     ,    """caveats_and_recommendations"""							)							)

    def 					UpperCamelCase						(  self:			str							):






         """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]     ,    UpperCamelCase							)

    def 					UpperCamelCase						(  self:			List[str]							):






         """simple docstring"""


         A__				      =	ModelCard.from_dict(self.inputs_dict							)

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

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





    def 					UpperCamelCase						(  self:			Any							):






         """simple docstring"""


         A__				      =	ModelCard.from_dict(self.inputs_dict							)

         with tempfile.TemporaryDirectory() as tmpdirname:
              model_card_first.save_pretrained(UpperCamelCase							)
              A__				      =	ModelCard.from_pretrained(UpperCamelCase							)

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









"""simple docstring"""



def 			_snake_case  (     UpperCAmelCase_	:       str       , UpperCAmelCase_	:       str       , UpperCAmelCase_	:       int       , UpperCAmelCase_	:       int       , UpperCAmelCase_	:       int       , UpperCAmelCase_	:       int       , ):
     A__				      =	list(UpperCAmelCase_      )
     A__				      =	list(UpperCAmelCase_      )
     A__				      =	len(UpperCAmelCase_      )
     A__				      =	len(UpperCAmelCase_      )

     A__				      =	[
         [0 for _ in range(len_destination_seq + 1      )] for _ in range(len_source_seq + 1      )
     ]
     A__				      =	[
         ["""0""" for _ in range(len_destination_seq + 1      )] for _ in range(len_source_seq + 1      )
     ]

     for i in range(1       , len_source_seq + 1      ):
          A__				      =	i * delete_cost
          A__				      =	F"""D{source_seq[i - 1]:c}"""

     for i in range(1       , len_destination_seq + 1      ):
          A__				      =	i * insert_cost
          A__				      =	F"""I{destination_seq[i - 1]:c}"""

     for i in range(1       , len_source_seq + 1      ):
          for j in range(1       , len_destination_seq + 1      ):
               if source_seq[i - 1] == destination_seq[j - 1]:
                    A__				      =	costs[i - 1][j - 1] + copy_cost
                    A__				      =	F"""C{source_seq[i - 1]:c}"""
               else:
                    A__				      =	costs[i - 1][j - 1] + replace_cost
                    A__				      =	F"""R{source_seq[i - 1]:c}""" + str(destination_seq[j - 1]      )

               if costs[i - 1][j] + delete_cost < costs[i][j]:
                    A__				      =	costs[i - 1][j] + delete_cost
                    A__				      =	F"""D{source_seq[i - 1]:c}"""

               if costs[i][j - 1] + insert_cost < costs[i][j]:
                    A__				      =	costs[i][j - 1] + insert_cost
                    A__				      =	F"""I{destination_seq[j - 1]:c}"""

     return costs, ops





def 			_snake_case  (     UpperCAmelCase_	:       list[list[str]]       , UpperCAmelCase_	:       int       , UpperCAmelCase_	:       int      ):
     if i == 0 and j == 0:
          return []
     else:
          if ops[i][j][0] == "C" or ops[i][j][0] == "R":
               A__				      =	assemble_transformation(UpperCAmelCase_       , i - 1       , j - 1      )
               seq.append(ops[i][j]      )
               return seq
          elif ops[i][j][0] == "D":
               A__				      =	assemble_transformation(UpperCAmelCase_       , i - 1       , UpperCAmelCase_      )
               seq.append(ops[i][j]      )
               return seq
          else:
               A__				      =	assemble_transformation(UpperCAmelCase_       , UpperCAmelCase_       , j - 1      )
               seq.append(ops[i][j]      )
               return seq


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_	,SCREAMING_SNAKE_CASE_       :						List[Any]					=    compute_transform_tables('Python', 'Algorithms', -1, 1, 2, 2)

 SCREAMING_SNAKE_CASE_       :						Any					=    len(operations)
 SCREAMING_SNAKE_CASE_       :						Dict					=    len(operations[0])
 SCREAMING_SNAKE_CASE_       :						Any					=    assemble_transformation(operations, m - 1, n - 1)

 SCREAMING_SNAKE_CASE_       :						List[str]					=    list('Python')
 SCREAMING_SNAKE_CASE_       :						Dict					=    0
 SCREAMING_SNAKE_CASE_       :						Optional[int]					=    0

 with open('min_cost.txt', 'w') as file:
  for op in sequence:
   print(''.join(string))

   if op[0] == "C":
    file.write('%-16s' % 'Copy %c' % op[1])
    file.write('\t\t\t' + ''.join(string))
    file.write('\r\n')

    cost -= 1
   elif op[0] == "R":
    SCREAMING_SNAKE_CASE_       :						int					=    op[2]

    file.write('%-16s' % ('Replace %c' % op[1] + ' with ' + str(op[2])))
    file.write('\t\t' + ''.join(string))
    file.write('\r\n')

    cost += 1
   elif op[0] == "D":
    string.pop(i)

    file.write('%-16s' % 'Delete %c' % op[1])
    file.write('\t\t\t' + ''.join(string))
    file.write('\r\n')

    cost += 2
   else:
    string.insert(i, op[1])

    file.write('%-16s' % 'Insert %c' % op[1])
    file.write('\t\t\t' + ''.join(string))
    file.write('\r\n')

    cost += 2

   i += 1

  print(''.join(string))
  print('Cost: ', cost)

  file.write('\r\nMinimum cost: ' + str(cost))






