
import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard

class 		lowercase_       (       unittest.TestCase				):

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       {
            """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""": 7_6},
        }

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       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"""


        UpperCamelCase_							       =       ModelCard.from_dict(self.inputs_dict     )
        UpperCamelCase_							       =       json.loads(modelcard.to_json_string()     )
        for key, value in self.inputs_dict.items():
               self.assertEqual(obj[key]     ,	__UpperCamelCase     )

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       ModelCard.from_dict(self.inputs_dict     )

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

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

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       ModelCard.from_dict(self.inputs_dict     )

        with tempfile.TemporaryDirectory() as tmpdirname:
               model_card_first.save_pretrained(__UpperCamelCase     )
               UpperCamelCase_							       =       ModelCard.from_pretrained(__UpperCamelCase     )

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





def 				lowerCamelCase__				(						a__  :  float	,      a__  :  float	,      a__  :  float     )		->	float:
       if mass < 0:
              raise ValueError("""The mass of the body cannot be negative"""     )
       if radius <= 0:
              raise ValueError("""The radius is always a positive non zero integer"""     )
       return (mass * (velocity) ** 2) / radius


if __name__ == "__main__":
      import doctest

      doctest.testmod(verbose=True)



