


'''simple docstring'''


def      lowerCamelCase					(      lowerCamelCase  :      list[int]):
      if not numbers:
            return 0

      if not isinstance(lowerCamelCase							,						(list, tuple)) or not all(
          isinstance(lowerCamelCase							,						lowerCamelCase) for number in numbers):
            raise ValueError("""numbers must be an iterable of integers""")

      A_						:  str          =				numbers[0]

      for i in range(1							,						len(lowerCamelCase)):
            # update the maximum and minimum subarray products
            A_						:  Any          =				numbers[i]
            if number < 0:
                  A_   ,					A_						:  Optional[int]          =				min_till_now, max_till_now
            A_						:  int          =				max(lowerCamelCase							,						max_till_now * number)
            A_						:  Optional[Any]          =				min(lowerCamelCase							,						min_till_now * number)

            # update the maximum product found till now
            A_						:  int          =				max(lowerCamelCase							,						lowerCamelCase)

      return max_prod




'''simple docstring'''


from __future__ import annotations




def      lowerCamelCase					(      lowerCamelCase  :      dict							,						lowerCamelCase  :      str):
      A_   ,					A_						:  List[Any]          =				set(lowerCamelCase), [start]

      while stack:
            A_						:  Optional[Any]          =				stack.pop()
            explored.add(lowerCamelCase)
            # Differences from BFS:
            # 1) pop last element instead of first one
            # 2) add adjacent elements to stack without exploring them
            for adj in reversed(graph[v]):
                  if adj not in explored:
                        stack.append(lowerCamelCase)
      return explored


__magic_name__			=      {
    'A': ['B', 'C', 'D'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F'],
    'D': ['B', 'D'],
    'E': ['B', 'F'],
    'F': ['C', 'E', 'G'],
    'G': ['F'],
}

if __name__ == "__main__":
     import doctest

     doctest.testmod()
     print(depth_first_search(G, 'A'))
