

'''simple docstring'''
import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard


class      a__						(							unittest.TestCase						):


   def 		_lowerCamelCase     (				self						):





      """simple docstring"""





      _lowercase    :   int      =     {
          "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": 5_5.1, "ROUGE-1": 76},
      }


   def 		_lowerCamelCase     (				self						):





      """simple docstring"""





      _lowercase    :   List[Any]      =     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 		_lowerCamelCase     (				self						):





      """simple docstring"""





      _lowercase    :   Optional[Any]      =     ModelCard.from_dict(self.inputs_dict						)
      _lowercase    :   Any      =     json.loads(modelcard.to_json_string()						)
      for key, value in self.inputs_dict.items():
         self.assertEqual(obj[key]    ,       _UpperCamelCase						)


   def 		_lowerCamelCase     (				self						):





      """simple docstring"""





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

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

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






   def 		_lowerCamelCase     (				self						):





      """simple docstring"""





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

      with tempfile.TemporaryDirectory() as tmpdirname:
         model_card_first.save_pretrained(_UpperCamelCase						)
         _lowercase    :   List[Any]      =     ModelCard.from_pretrained(_UpperCamelCase						)

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









'''simple docstring'''
class      a__						:


   def __init__(				self    ,       _UpperCamelCase						):





      """simple docstring"""





      _lowercase    :   Tuple      =     data
      _lowercase    :   int
      _lowercase    :   Node







def       _A	(			snake_case  )    ->			None:
   _lowercase    :   Any      =     0
   _lowercase    :   str      =     x







def       _A	(			snake_case	,							snake_case  )    ->			None:
   _lowercase  ,   _lowercase    :   Any      =     find_set(snake_case  ), find_set(snake_case  )
   if x == y:
      return

   elif x.rank > y.rank:
      _lowercase    :   Dict      =     x
   else:
      _lowercase    :   Optional[int]      =     y
      if x.rank == y.rank:
         y.rank += 1







def       _A	(			snake_case  )    ->			Node:
   if x != x.parent:
      _lowercase    :   Optional[int]      =     find_set(x.parent  )
   return x.parent







def       _A	(			snake_case  )    ->			set:
   _lowercase    :   Any      =     ({0, 1, 2}, {3, 4, 5})
   for s in sets:
      if node.data in s:
         return s
   _lowercase    :   List[Any]      =     F'''{node.data} is not in {sets}'''
   raise ValueError(snake_case  )







def       _A	(			)    ->			None:
   _lowercase    :   Union[str, Any]      =     [Node(snake_case  ) for i in range(6  )]
   for v in vertex:
      make_set(snake_case  )

   union_set(vertex[0]	,							vertex[1]  )
   union_set(vertex[1]	,							vertex[2]  )
   union_set(vertex[3]	,							vertex[4]  )
   union_set(vertex[3]	,							vertex[5]  )

   for nodea in vertex:
      for nodea in vertex:
         if find_python_set(snake_case  ).isdisjoint(find_python_set(snake_case  )  ):
            assert find_set(snake_case  ) != find_set(snake_case  )
         else:
            assert find_set(snake_case  ) == find_set(snake_case  )


if __name__ == "__main__":
    test_disjoint_set()






