


'''simple docstring'''


import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format



class 	__lowerCAmelCase		:


  '''simple docstring'''







  a_  					=							None






  def        _a							(							self :       Optional[Any] ):

        '''simple docstring'''




        A_						:  Optional[int]          =				self.feature_extraction_class(**self.feat_extract_dict )
        A_						:  Dict          =				json.loads(feat_extract.to_json_string() )
        for key, value in self.feat_extract_dict.items():
              self.assertEqual(obj[key]	,_a )






  def        _a							(							self :       int ):

        '''simple docstring'''




        A_						:  int          =				self.feature_extraction_class(**self.feat_extract_dict )

        with tempfile.TemporaryDirectory() as tmpdirname:
              A_						:  Tuple          =				os.path.join(_a	,"""feat_extract.json""" )
              feat_extract_first.to_json_file(_a )
              A_						:  List[str]          =				self.feature_extraction_class.from_json_file(_a )

        self.assertEqual(feat_extract_second.to_dict()	,feat_extract_first.to_dict() )






  def        _a							(							self :       List[str] ):

        '''simple docstring'''




        A_						:  List[str]          =				self.feature_extraction_class(**self.feat_extract_dict )

        with tempfile.TemporaryDirectory() as tmpdirname:
              A_						:  Optional[int]          =				feat_extract_first.save_pretrained(_a )[0]
              check_json_file_has_correct_format(_a )
              A_						:  Any          =				self.feature_extraction_class.from_pretrained(_a )

        self.assertEqual(feat_extract_second.to_dict()	,feat_extract_first.to_dict() )






  def        _a							(							self :       Dict ):

        '''simple docstring'''




        A_						:  List[Any]          =				self.feature_extraction_class()
        self.assertIsNotNone(_a )




'''simple docstring'''


from __future__ import annotations




def      lowerCamelCase					(      lowerCamelCase  :      dict							,						lowerCamelCase  :      str):
      A_   ,					A_						:  List[Any]          =				set(lowerCamelCase), [start]

      while stack:
            A_						:  Optional[Any]          =				stack.pop()
            explored.add(lowerCamelCase)
            # Differences from BFS:
            # 1) pop last element instead of first one
            # 2) add adjacent elements to stack without exploring them
            for adj in reversed(graph[v]):
                  if adj not in explored:
                        stack.append(lowerCamelCase)
      return explored


__magic_name__			=      {
    'A': ['B', 'C', 'D'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F'],
    'D': ['B', 'D'],
    'E': ['B', 'F'],
    'F': ['C', 'E', 'G'],
    'G': ['F'],
}

if __name__ == "__main__":
     import doctest

     doctest.testmod()
     print(depth_first_search(G, 'A'))
