




from __future__ import annotations







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_						)       ->	set[str]:



       """simple docstring"""

       A__			,							A__							=   set(lowercase_						), [start]

       while stack:
              A__							=   stack.pop()
              explored.add(lowercase_						)
              # 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(lowercase_						)
       return explored


_lowerCamelCase     :		int								=       {
    """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"""))








from __future__ import annotations

from typing import Any







def SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	None:



       """simple docstring"""

       create_state_space_tree(lowercase_			,    []			,    0						)







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_			,    lowercase_						)       ->	None:



       """simple docstring"""

       if index == len(lowercase_						):
              print(lowercase_						)
              return

       create_state_space_tree(lowercase_			,    lowercase_			,    index + 1						)
       current_subsequence.append(sequence[index]						)
       create_state_space_tree(lowercase_			,    lowercase_			,    index + 1						)
       current_subsequence.pop()


if __name__ == "__main__":
  _lowerCamelCase     :		list[Any]								=       [3, 1, 2, 4]
  generate_all_subsequences(seq)

  seq.clear()
  seq.extend(["""A""", """B""", """C"""])
  generate_all_subsequences(seq)


