




lowercase__				:      Union[str, Any]	   = {
    "A": ["B", "C", "E"],
    "B": ["A", "D", "E"],
    "C": ["A", "F", "G"],
    "D": ["B"],
    "E": ["A", "B", "D"],
    "F": ["C"],
    "G": ["C"],
}

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase		, __UpperCamelCase		, __UpperCamelCase)      ->					list[str]:
					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  SCREAMING_SNAKE_CASE							(       __UpperCamelCase		, __UpperCamelCase		, __UpperCamelCase)      ->					int:
					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







lowercase__				:      str	   = "\n# Installazione di Transformers\n! pip install transformers datasets\n# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e\n# rimuovi la modalità commento al comando seguente.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

lowercase__				:      Any	   = [{"type": "code", "content": INSTALL_CONTENT}]
lowercase__				:      Any	   = {
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}

