





"""simple docstring"""
_snake_case     :		Any       						= {
    'A': ['B', 'C', 'E'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F', 'G'],
    'D': ['B'],
    'E': ['A', 'B', 'D'],
    'F': ['C'],
    'G': ['C'],
}






def 					A__				(			UpperCamelCase					,  UpperCamelCase					,  UpperCamelCase       ):
							A		=  set()
							# keep track of all the paths to be checked
							A		=  [[start]]

							# return path if start is goal
							if start == goal:
														return [start]

							# keeps looping until all possible paths have been checked
							while queue:
														# pop the first path from the queue
														A		=  queue.pop(0       )
														# get the last node from the path
														A		=  path[-1]
														if node not in explored:
																					A		=  graph[node]
																					# go through all neighbour nodes, construct a new path and
																					# push it into the queue
																					for neighbour in neighbours:
																												A		=  list(UpperCamelCase       )
																												new_path.append(UpperCamelCase       )
																												queue.append(UpperCamelCase       )
																												# return path if neighbour is goal
																												if neighbour == goal:
																																			return new_path

            # mark node as explored
																					explored.add(UpperCamelCase       )

    # in case there's no path between the 2 nodes
							return []






def 					A__				(			UpperCamelCase					,  UpperCamelCase					,  UpperCamelCase       ):
							if not graph or start not in graph or target not in graph:
														return -1
							if start == target:
														return 0
							A		=  [start]
							A		=  set(UpperCamelCase       )
							# Keep tab on distances from `start` node.
							A		=  {start: 0, target: -1}
							while queue:
														A		=  queue.pop(0       )
														if node == target:
																					A		=  (
																					    dist[node] if dist[target] == -1 else min(dist[target]					,  dist[node]       )
																					)
														for adjacent in graph[node]:
																					if adjacent not in visited:
																												visited.add(UpperCamelCase       )
																												queue.append(UpperCamelCase       )
																												A		=  dist[node] + 1
							return dist[target]


if __name__ == "__main__":
		print(bfs_shortest_path(demo_graph, 'G', 'D'))  # returns ['G', 'C', 'A', 'B', 'D']
		print(bfs_shortest_path_distance(demo_graph, 'G', 'D'))  # returns 4









"""simple docstring"""
import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format






class 					_UpperCAmelCase   :
					UpperCamelCase      =							None


					def 	lowerCamelCase       (					self			:List[Any]		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)
												A		=  json.loads(feat_extract.to_json_string()		)
												for key, value in self.feat_extract_dict.items():
																			self.assertEqual(obj[key]     ,       __UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)

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

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


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)

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

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


					def 	lowerCamelCase       (					self			:Tuple		):
												A		=  self.feature_extraction_class()
												self.assertIsNotNone(__UpperCamelCase		)


