






import json
import os
import tempfile
import unittest

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







		"""simple docstring"""



		def    A(	self		:							List[Any]		)     -> 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': 7_6},
						}
		def    A(	self		:							Optional[Any]		)     -> Tuple:


						'''simple docstring'''
						A									=   ModelCard.from_dict(self.inputs_dict		)
						self.assertTrue(hasattr(_SCREAMING_SNAKE_CASE    ,'model_details'		)		)
						self.assertTrue(hasattr(_SCREAMING_SNAKE_CASE    ,'intended_use'		)		)
						self.assertTrue(hasattr(_SCREAMING_SNAKE_CASE    ,'factors'		)		)
						self.assertTrue(hasattr(_SCREAMING_SNAKE_CASE    ,'metrics'		)		)
						self.assertTrue(hasattr(_SCREAMING_SNAKE_CASE    ,'evaluation_data'		)		)
						self.assertTrue(hasattr(_SCREAMING_SNAKE_CASE    ,'training_data'		)		)
						self.assertTrue(hasattr(_SCREAMING_SNAKE_CASE    ,'quantitative_analyses'		)		)
						self.assertTrue(hasattr(_SCREAMING_SNAKE_CASE    ,'ethical_considerations'		)		)
						self.assertTrue(hasattr(_SCREAMING_SNAKE_CASE    ,'caveats_and_recommendations'		)		)
		def    A(	self		:							Tuple		)     -> Optional[int]:


						'''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]    ,_SCREAMING_SNAKE_CASE		)
		def    A(	self		:							int		)     -> Tuple:


						'''simple docstring'''
						A									=   ModelCard.from_dict(self.inputs_dict		)

						with tempfile.TemporaryDirectory() as tmpdirname:
										A									=   os.path.join(_SCREAMING_SNAKE_CASE    ,'modelcard.json'		)
										model_card_first.to_json_file(_SCREAMING_SNAKE_CASE		)
										A									=   ModelCard.from_json_file(_SCREAMING_SNAKE_CASE		)

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







		def    A(	self		:							str		)     -> Dict:


						'''simple docstring'''
						A									=   ModelCard.from_dict(self.inputs_dict		)

						with tempfile.TemporaryDirectory() as tmpdirname:
										model_card_first.save_pretrained(_SCREAMING_SNAKE_CASE		)
										A									=   ModelCard.from_pretrained(_SCREAMING_SNAKE_CASE		)

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













def   snake_case		(				UpperCAmelCase						:							Optional[int],    UpperCAmelCase						:							str ):
				# "Simpson Rule"
				# int(f) = delta_x/2 * (b-a)/3*(f1 + 4f2 + 2f_3 + ... + fn)
				A									=   (boundary[1] - boundary[0]) / steps
				A									=   boundary[0]
				A									=   boundary[1]
				A									=   make_points(UpperCAmelCase,    UpperCAmelCase,    UpperCAmelCase )
				A									=   0.0
				y += (h / 3.0) * f(UpperCAmelCase )
				A									=   2
				for i in x_i:
								y += (h / 3) * (4 - 2 * (cnt % 2)) * f(UpperCAmelCase )
								cnt += 1
				y += (h / 3.0) * f(UpperCAmelCase )
				return y







def   snake_case		(				UpperCAmelCase						:							int,    UpperCAmelCase						:							int,    UpperCAmelCase						:							List[Any] ):
				A									=   a + h
				while x < (b - h):
								yield x
								A									=   x + h







def   snake_case		(				UpperCAmelCase						:							str ):  # enter your function here
				A									=   (x - 0) * (x - 0)
				return y







def   snake_case		(				):
				A									=   0.0  # Lower bound of integration
				A									=   1.0  # Upper bound of integration
				A									=   10.0  # define number of steps or resolution
				A									=   [a, b]  # define boundary of integration
				A									=   method_a(UpperCAmelCase,    UpperCAmelCase )
				print(f'y = {y}' )


if __name__ == "__main__":
					main()





