



'''simple docstring'''



import json
import os
import tempfile
import unittest

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



	def    __lowerCamelCase				(  self			)  ->							Optional[Any]:
		__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			)  ->							List[Any]:
		__UpperCamelCase				      =  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    __lowerCamelCase				(  self			)  ->							List[str]:
		__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]		,	lowercase			)



	def    __lowerCamelCase				(  self			)  ->							int:
		__UpperCamelCase				      =  ModelCard.from_dict(self.inputs_dict			)

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

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




	def    __lowerCamelCase				(  self			)  ->							Optional[int]:
		__UpperCamelCase				      =  ModelCard.from_dict(self.inputs_dict			)

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

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










'''simple docstring'''



def _lowercase   (  __A							,__A       ):



 '''simple docstring'''



 __UpperCamelCase				      =  1
 while b > 0:
  if b & 1:
   res *= a

  a *= a
  b >>= 1

 return res







def _lowercase   (  __A							,__A							,__A       ):



 '''simple docstring'''



 __UpperCamelCase				      =  1
 while b > 0:
  if b & 1:
   __UpperCamelCase				      =  ((res % c) * (a % c)) % c

  a *= a
  b >>= 1

 return res





