


snake_case_						:			List[str]													=							{
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}







def 						lowerCamelCase(   a__	,a__	,a__):
				_SCREAMING_SNAKE_CASE			  =set()
				# keep track of all the paths to be checked
				_SCREAMING_SNAKE_CASE			  =[[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
								_SCREAMING_SNAKE_CASE			  =queue.pop(0)
								# get the last node from the path
								_SCREAMING_SNAKE_CASE			  =path[-1]
								if node not in explored:
												_SCREAMING_SNAKE_CASE			  =graph[node]
												# go through all neighbour nodes, construct a new path and
												# push it into the queue
												for neighbour in neighbours:
																_SCREAMING_SNAKE_CASE			  =list(a__)
																new_path.append(a__)
																queue.append(a__)
																# return path if neighbour is goal
																if neighbour == goal:
																				return new_path

            # mark node as explored
												explored.add(a__)

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







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



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


snake_case_						:			List[Any]													=							{
    '''configuration_graphormer''': ['''GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GraphormerConfig'''],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case_						:			str													=							[
							    '''GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''GraphormerForGraphClassification''',
							    '''GraphormerModel''',
							    '''GraphormerPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_graphormer import (
														    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GraphormerForGraphClassification,
														    GraphormerModel,
														    GraphormerPreTrainedModel,
														)


else:
							import sys

							snake_case_						:			Union[str, Any]													=							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)