code: 
  
  
  import json
  import os
  import tempfile
  import unittest
  
  from transformers.modelcard import ModelCard
  
  
  
  
  
  class        lowercase_				( unittest.TestCase):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  
  							def 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""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""": 5_5.1, """ROUGE-1""": 76},
  													}
  
  
  							def 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""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 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""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 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""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 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""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()		)
style_context: 
  
  
  from collections.abc import Callable
  
  A_    :					Any             =Callable[[float], float]  # type alias for a real -> real function
  
  
  
  
  def   lowerCamelCase_       (					UpperCAmelCase__       ,    UpperCAmelCase__       ,    UpperCAmelCase__       ,    ):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						a_					=		float(UpperCAmelCase__      )
  						while True:
  												try:
  																		a_					=		prev_guess - function(UpperCAmelCase__      ) / derivative(UpperCAmelCase__      )
  												except ZeroDivisionError:
  																		raise ZeroDivisionError("""Could not find root"""      ) from None
  												if abs(prev_guess - next_guess      ) < 10**-5:
  																		return next_guess
  												a_					=		next_guess
  
  
  
  
  def   lowerCamelCase_       (					UpperCAmelCase__      ):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						return (x**3) - (2 * x) - 5
  
  
  
  
  def   lowerCamelCase_       (					UpperCAmelCase__      ):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						return 3 * (x**2) - 2
  
  
  if __name__ == "__main__":
  	print(newton(f, fa, 3))