
_UpperCAmelCase      :				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    A (      lowercase					, lowercase					, lowercase				)     ->						list[str]:
		'''simple docstring'''

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

            # mark node as explored
						explored.add(lowercase				)

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


def    A (      lowercase					, lowercase					, lowercase				)     ->						int:
		'''simple docstring'''

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


_UpperCAmelCase      :				Union[str, Any]          = {
    "configuration_git": ["GIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "GitConfig", "GitVisionConfig"],
    "processing_git": ["GitProcessor"],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase      :				Dict          = [
					    "GIT_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "GitForCausalLM",
					    "GitModel",
					    "GitPreTrainedModel",
					    "GitVisionModel",
					]

if TYPE_CHECKING:
					from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
					from .processing_git import GitProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_git import (
										    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GitForCausalLM,
										    GitModel,
										    GitPreTrainedModel,
										    GitVisionModel,
										)

else:
					import sys

					_UpperCAmelCase      :				int          = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
