code: 
  
  
  import json
  import os
  import tempfile
  import unittest
  
  from transformers.modelcard import ModelCard
  
  class 						snake_case			(       unittest.TestCase	):
  			'''simple docstring'''
  
  			def _lowercase (	self     :     str					)					->					str:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       {
  								    '''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''': 76},
  								}
  
  			def _lowercase (	self     :     Tuple					)					->					int:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       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 _lowercase (	self     :     Optional[int]					)					->					Any:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       ModelCard.from_dict(self.inputs_dict					)
  								SCREAMING_SNAKE_CASE_	      =       json.loads(modelcard.to_json_string()					)
  								for key, value in self.inputs_dict.items():
  													self.assertEqual(obj[key]							,							__SCREAMING_SNAKE_CASE					)
  
  			def _lowercase (	self     :     Tuple					)					->					int:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       ModelCard.from_dict(self.inputs_dict					)
  
  								with tempfile.TemporaryDirectory() as tmpdirname:
  													SCREAMING_SNAKE_CASE_	      =       os.path.join(__SCREAMING_SNAKE_CASE							,							'''modelcard.json'''					)
  													model_card_first.to_json_file(__SCREAMING_SNAKE_CASE					)
  													SCREAMING_SNAKE_CASE_	      =       ModelCard.from_json_file(__SCREAMING_SNAKE_CASE					)
  
  								self.assertEqual(model_card_second.to_dict()							,							model_card_first.to_dict()					)
  
  
  
  
  			def _lowercase (	self     :     int					)					->					str:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       ModelCard.from_dict(self.inputs_dict					)
  
  								with tempfile.TemporaryDirectory() as tmpdirname:
  													model_card_first.save_pretrained(__SCREAMING_SNAKE_CASE					)
  													SCREAMING_SNAKE_CASE_	      =       ModelCard.from_pretrained(__SCREAMING_SNAKE_CASE					)
  
  								self.assertEqual(model_card_second.to_dict()							,							model_card_first.to_dict()					)
  
  
  
style_context: 
  
  
  from __future__ import annotations
  
  class 						snake_case			:
  			'''simple docstring'''
  
  			def __init__(	self     :     int							,							lowerCAmelCase_     :     int					)					->					None:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       value
  								SCREAMING_SNAKE_CASE_	      =       None
  								SCREAMING_SNAKE_CASE_	      =       None
  
  class 						snake_case			:
  			'''simple docstring'''
  
  			UpperCAmelCase       :       int
  
  			def __init__(	self     :     Union[str, Any]					)					->					None:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       0
  
  			def _lowercase (	self     :     Optional[int]							,							lowerCAmelCase_     :     Node | None							,							lowerCAmelCase_     :     int					)					->					None:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								if node is None:
  													return
  
  								if path_sum == self.target:
  													self.paths += 1
  
  								if node.left:
  													self.depth_first_search(node.left							,							path_sum + node.left.value					)
  								if node.right:
  													self.depth_first_search(node.right							,							path_sum + node.right.value					)
  
  
  
  
  			def _lowercase (	self     :     str							,							lowerCAmelCase_     :     Node | None							,							lowerCAmelCase_     :     int | None = None					)					->					int:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								if node is None:
  													return 0
  								if target is not None:
  													SCREAMING_SNAKE_CASE_	      =       target
  
  								self.depth_first_search(lowerCAmelCase_							,							node.value					)
  								self.path_sum(node.left					)
  								self.path_sum(node.right					)
  
  								return self.paths
  
  
  if __name__ == "__main__":
  		import doctest
  
  		doctest.testmod()
  
  
  