code: 
  
  
  
  
  
  
  """simple docstring"""
  
  from __future__ import annotations
  
  from collections import deque
  from queue import Queue
  from timeit import timeit
  
  lowercase__      =				{
      """A""": ["""B""", """C"""],
      """B""": ["""A""", """D""", """E"""],
      """C""": ["""A""", """F"""],
      """D""": ["""B"""],
      """E""": ["""B""", """F"""],
      """F""": ["""C""", """E"""],
  }
  
  def 	__lowerCamelCase			(						__UpperCamelCase   , __UpperCamelCase )		->					list[str]:
  
    """simple docstring"""
  
  
  
  
  
  
  
    lowerCAmelCase_     :							Dict             =    {start}
    lowerCAmelCase_     :							Optional[Any]             =    [start]
    lowerCAmelCase_     :							Queue             =    Queue()
    queue.put(__lowerCamelCase )
    while not queue.empty():
      lowerCAmelCase_     :							str             =    queue.get()
      for w in graph[v]:
        if w not in explored:
          explored.add(__lowerCamelCase )
          result.append(__lowerCamelCase )
          queue.put(__lowerCamelCase )
    return result
  
  def 	__lowerCamelCase			(						__UpperCamelCase   , __UpperCamelCase )		->					list[str]:
  
    """simple docstring"""
  
  
  
  
  
  
  
    lowerCAmelCase_     :							Optional[Any]             =    {start}
    lowerCAmelCase_     :							Optional[Any]             =    [start]
    lowerCAmelCase_     :							List[str]             =    deque([start] )
    while queue:
      lowerCAmelCase_     :							Union[str, Any]             =    queue.popleft()
      for child in graph[v]:
        if child not in visited:
          visited.add(__lowerCamelCase )
          result.append(__lowerCamelCase )
          queue.append(__lowerCamelCase )
    return result
  
  def 	__lowerCamelCase			(						__UpperCamelCase )		->					None:
  
    """simple docstring"""
  
  
  
  
  
  
  
    lowerCAmelCase_     :							Any             =    f'''from __main__ import G, {name}'''
    lowerCAmelCase_     :							List[str]             =    10000
    lowerCAmelCase_     :							str             =    timeit(f'''{name}(G, \'A\')'''   , setup=__lowerCamelCase   , number=__lowerCamelCase )
    print(f'''{name:<35} finished {number} runs in {res:.5f} seconds''' )
  
  
  if __name__ == "__main__":
       import doctest
  
       doctest.testmod()
  
       benchmark_function("""breadth_first_search""")
       benchmark_function("""breadth_first_search_with_deque""")
       # breadth_first_search                finished 10000 runs in 0.20999 seconds
       # breadth_first_search_with_deque     finished 10000 runs in 0.01421 seconds
  
style_context: 
  
  
  
  
  
  
  """simple docstring"""
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
      is_vision_available,
  )
  
  
  lowercase__      =				{
      """configuration_mobilevitv2""": [
          """MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
          """MobileViTV2Config""",
          """MobileViTV2OnnxConfig""",
      ],
  }
  
  
  try:
  					if not is_torch_available():
  										raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  					pass
  else:
  					lowercase__      =				[
  					    """MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
  					    """MobileViTV2ForImageClassification""",
  					    """MobileViTV2ForSemanticSegmentation""",
  					    """MobileViTV2Model""",
  					    """MobileViTV2PreTrainedModel""",
  					]
  
  if TYPE_CHECKING:
  					from .configuration_mobilevitva import (
  					    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
  					    MobileViTVaConfig,
  					    MobileViTVaOnnxConfig,
  					)
  
  					try:
  										if not is_torch_available():
  															raise OptionalDependencyNotAvailable()
  					except OptionalDependencyNotAvailable:
  										pass
  					else:
  										from .modeling_mobilevitva import (
  										    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
  										    MobileViTVaForImageClassification,
  										    MobileViTVaForSemanticSegmentation,
  										    MobileViTVaModel,
  										    MobileViTVaPreTrainedModel,
  										)
  
  else:
  					import sys
  
  					lowercase__      =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  