

UpperCamelCase_							=					{
    """A""": ["""B""", """C""", """E"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F""", """G"""],
    """D""": ["""B"""],
    """E""": ["""A""", """B""", """D"""],
    """F""": ["""C"""],
    """G""": ["""C"""],
}






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

            # mark node as explored
																		explored.add(__magic_name__	)

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






def 							_lowerCAmelCase (      __magic_name__	:    dict      ,   __magic_name__	:    Optional[int]      ,   __magic_name__	:    Any	)							->     int:
						if not graph or start not in graph or target not in graph:
												return -1
						if start == target:
												return 0
						lowercase   :       Optional[int]								=[start]
						lowercase   :       List[str]								=set(__magic_name__	)
						# Keep tab on distances from `start` node.
						lowercase   :       int								={start: 0, target: -1}
						while queue:
												lowercase   :       Tuple								=queue.pop(0	)
												if node == target:
																		lowercase   :       str								=(
																		    dist[node] if dist[target] == -1 else min(dist[target]      ,   dist[node]	)
																		)
												for adjacent in graph[node]:
																		if adjacent not in visited:
																								visited.add(__magic_name__	)
																								queue.append(__magic_name__	)
																								lowercase   :       Any								=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'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_							=					{"""configuration_plbart""": ["""PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PLBartConfig"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					["""PLBartTokenizer"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """PLBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """PLBartForCausalLM""",
							    """PLBartForConditionalGeneration""",
							    """PLBartForSequenceClassification""",
							    """PLBartModel""",
							    """PLBartPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_plbart import PLBartTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_plbart import (
														    PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PLBartForCausalLM,
														    PLBartForConditionalGeneration,
														    PLBartForSequenceClassification,
														    PLBartModel,
														    PLBartPreTrainedModel,
														)


else:
							import sys

							UpperCamelCase_							=					_LazyModule(__name__, globals()["""__file__"""], _import_structure)





