


lowerCAmelCase							=						{
    """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       (					lowercase_			,					lowercase_			,					lowercase_			)		->    list[str]:




						'''simple docstring'''







						__UpperCAmelCase :       Optional[int]  						=  set()
						# keep track of all the paths to be checked
						__UpperCAmelCase :       Tuple  						=  [[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 :       List[str]  						=  queue.pop(0			)
												# get the last node from the path
												__UpperCAmelCase :       Any  						=  path[-1]
												if node not in explored:
																		__UpperCAmelCase :       str  						=  graph[node]
																		# go through all neighbour nodes, construct a new path and
																		# push it into the queue
																		for neighbour in neighbours:
																								__UpperCAmelCase :       int  						=  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 						__SCREAMING_SNAKE_CASE       (					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 :       Dict  						=  [start]
						__UpperCAmelCase :       Optional[int]  						=  set(lowercase_			)
						# Keep tab on distances from `start` node.
						__UpperCAmelCase :       int  						=  {start: 0, target: -1}
						while queue:
												__UpperCAmelCase :       int  						=  queue.pop(0			)
												if node == target:
																		__UpperCAmelCase :       Dict  						=  (
																		    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 :       str  						=  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





import pytest

import datasets


# Import fixture modules as plugins
lowerCAmelCase							=						["""tests.fixtures.files""", """tests.fixtures.hub""", """tests.fixtures.fsspec"""]




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			)		->    str:




						'''simple docstring'''







						for item in items:
												if any(marker in item.keywords for marker in ['''integration''', '''unit''']			):
																		continue
												item.add_marker(pytest.mark.unit			)




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    Tuple:




						'''simple docstring'''







						config.addinivalue_line('''markers'''			,					'''torchaudio_latest: mark test to run with torchaudio>=0.12'''			)




@pytest.fixture(autouse=lowercase_			)
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			)		->    Dict:




						'''simple docstring'''







						__UpperCAmelCase :       Dict  						=  tmp_path_factory.getbasetemp() / '''cache'''
						__UpperCAmelCase :       List[Any]  						=  test_hf_cache_home / '''datasets'''
						__UpperCAmelCase :       Union[str, Any]  						=  test_hf_cache_home / '''metrics'''
						__UpperCAmelCase :       List[Any]  						=  test_hf_cache_home / '''modules'''
						monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE'''			,					str(lowercase_			)			)
						monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE'''			,					str(lowercase_			)			)
						monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE'''			,					str(lowercase_			)			)
						__UpperCAmelCase :       Any  						=  test_hf_datasets_cache / '''downloads'''
						monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH'''			,					str(lowercase_			)			)
						__UpperCAmelCase :       List[Any]  						=  test_hf_datasets_cache / '''downloads''' / '''extracted'''
						monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''			,					str(lowercase_			)			)




@pytest.fixture(autouse=lowercase_			,					scope='''session'''			)
def 						__SCREAMING_SNAKE_CASE       (					)		->    str:




						'''simple docstring'''







						datasets.disable_progress_bar()




@pytest.fixture(autouse=lowercase_			)
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    Tuple:




						'''simple docstring'''







						monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'''			,					lowercase_			)





@pytest.fixture
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    List[str]:




						'''simple docstring'''







						monkeypatch.setattr('''sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'''			,					lowercase_			)

