


"""simple docstring"""




from collections import deque





def       a_ (	lowercase__ :List[str]     ):
			__lowerCamelCase          =      len(lowercase__     )
			__lowerCamelCase          =      deque()
			__lowerCamelCase          =      [False for _ in range(lowercase__     )]
			__lowerCamelCase          =      [-1 for _ in range(lowercase__     )]
			__lowerCamelCase          =      index_of[:]

			def strong_connect(lowercase__ :Optional[Any],			lowercase__ :Optional[Any],			lowercase__ :Any     ):
						__lowerCamelCase          =      index  # the number when this node is seen
						__lowerCamelCase          =      index  # lowest rank node reachable from here
						index += 1
						stack.append(lowercase__     )
						__lowerCamelCase          =      True

						for w in g[v]:
									if index_of[w] == -1:
												__lowerCamelCase          =      strong_connect(lowercase__,			lowercase__,			lowercase__     )
												__lowerCamelCase          =      (
												    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
												)
									elif on_stack[w]:
												__lowerCamelCase          =      (
												    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
												)

						if lowlink_of[v] == index_of[v]:
									__lowerCamelCase          =      []
									__lowerCamelCase          =      stack.pop()
									__lowerCamelCase          =      False
									component.append(lowercase__     )
									while w != v:
												__lowerCamelCase          =      stack.pop()
												__lowerCamelCase          =      False
												component.append(lowercase__     )
									components.append(lowercase__     )
						return index

			__lowerCamelCase          =      []
			for v in range(lowercase__     ):
						if index_of[v] == -1:
									strong_connect(lowercase__,			0,			lowercase__     )

			return components





def       a_ (	lowercase__ :Union[str, Any],			lowercase__ :int     ):
			__lowerCamelCase          =      [[] for _ in range(lowercase__     )]
			for u, v in edges:
						g[u].append(lowercase__     )
			return g


if __name__ == "__main__":
					# Test
					__magic_name__						: str    =				7
					__magic_name__						: Optional[Any]    =				[0, 0, 1, 2, 3, 3, 4, 4, 6]
					__magic_name__						: str    =				[1, 3, 2, 0, 1, 4, 5, 6, 5]
					__magic_name__						: Tuple    =				[(u, v) for u, v in zip(source, target)]
					__magic_name__						: List[Any]    =				create_graph(n_vertices, edges)

					assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)








"""simple docstring"""




import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format




class 			__snake_case   :
							__a					 =       None




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




							def   __a   (     self:    List[str]   ):
										__lowerCamelCase          =      self.feature_extraction_class(**self.feat_extract_dict   )

										with tempfile.TemporaryDirectory() as tmpdirname:
													__lowerCamelCase          =      os.path.join(A_     ,							"""feat_extract.json"""   )
													feat_extract_first.to_json_file(A_   )
													__lowerCamelCase          =      self.feature_extraction_class.from_json_file(A_   )

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




							def   __a   (     self:    Optional[Any]   ):
										__lowerCamelCase          =      self.feature_extraction_class(**self.feat_extract_dict   )

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

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




							def   __a   (     self:    List[Any]   ):
										__lowerCamelCase          =      self.feature_extraction_class()
										self.assertIsNotNone(A_   )




