implement initial A* base
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@@ -1,11 +1,13 @@
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MAP_SIZE = 8
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map = []
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start = (0, 0) #initial position of Neo
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neo = start #position of Neo
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keymaster = () #position of Keymaster
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def get_position_input():
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position_input_list = (input().split(" "))
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position_input_tuple = ()
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for i in position_input_list:
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position_input_tuple += (i,)
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return position_input_tuple
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return ((int)(position_input_list[0]), (int)(position_input_list[1]))
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def get_walkable_cells():
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walkable_cells = []
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@@ -20,7 +22,7 @@ def get_walkable_cells():
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return walkable_cells
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def get_g(cell:tuple):
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return abs((neo[0] - cell[0]) + (neo[1] - cell[1]))
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return abs((start[0] - cell[0]) + (start[1] - cell[1])) #TODO FROM START OR NEO?
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def get_h(cell:tuple):
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return abs((keymaster[0] - cell[0]) + (keymaster[1] - cell[1]))
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@@ -28,19 +30,14 @@ def get_h(cell:tuple):
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def get_f(cell:tuple):
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return get_g(cell) + get_h(cell)
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def set_position(new_postion:tuple):
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neo = new_postion
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def get_verified_move_position(new_postion:tuple):
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if new_postion in get_walkable_cells():
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return new_postion
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else:
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print("CAN'T MOVE HERE!") #TEMP
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return neo
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MAP_SIZE = 8
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map = []
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start = (0, 0) #initial position of Neo
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neo = start #position of Neo
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keymaster = () #position of Keymaster
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perception_radius = input()
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position_input = get_position_input()
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@@ -48,11 +45,60 @@ keymaster = (position_input[0], position_input[1])
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print("neo:")
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print(neo)
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print(get_walkable_cells())
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print("keymaster:")
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print(keymaster)
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walkable_cells_and_f = dict()
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for i in get_walkable_cells():
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walkable_cells_and_f[i] = get_f(i)
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min_f_cell = min(walkable_cells_and_f, key=walkable_cells_and_f.get)
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print("min_f:")
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print(min_f_cell)
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#neo = get_verified_move_position(position_input)
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print(walkable_cells_and_f)
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while (True):
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position_input = get_position_input()
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set_position(position_input)
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print(position_input)
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neo = get_verified_move_position(position_input)
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print("\nneo:")
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print(neo)
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print(get_walkable_cells())
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print("\nkeymaster:")
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print(keymaster)
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print("\nwalkabe cells")
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#A*
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walkable_cells_and_f = dict()
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for i in get_walkable_cells():
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walkable_cells_and_f[i] = get_f(i)
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min_f_cell = min(walkable_cells_and_f, key=walkable_cells_and_f.get)
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min_f_value = walkable_cells_and_f[min_f_cell]
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# Находим минимальное значение f
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min_f_value = min(walkable_cells_and_f.values())
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# Собираем все ячейки с минимальным значением f
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min_f_cell_list = [cell for cell, f_value in walkable_cells_and_f.items() if f_value == min_f_value]
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# Если только одна ячейка с минимальным f, выбираем её
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if len(min_f_cell_list) == 1:
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next_cell = min_f_cell_list[0]
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else:
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# Если таких ячеек несколько, выбираем ту, у которой минимальный h
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next_cell = min(min_f_cell_list, key=lambda cell: get_h(cell))
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print("min_f:")
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print(min_f_cell)
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print("min_f_count:")
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print(len(min_f_cell_list))
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#neo = get_verified_move_position(position_input)
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for i in walkable_cells_and_f.items():
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cell = i[0]
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print(cell)
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print(f"{get_g(cell)} + {get_h(cell)} = {get_f(cell)}")
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print(walkable_cells_and_f)
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print("next_cell:")
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print(next_cell)
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