genetic_alg #34
@ -120,3 +120,12 @@ def find_neighbours(grid: npt.NDArray, col: int, row: int) -> List[Position]:
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neighbours.append(Position(row=rr, col=cc))
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return neighbours
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def count_in_grid(grid: npt.NDArray, target) -> int:
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count = 0
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for row in grid:
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for col in row:
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if col == target:
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count += 1
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return count
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@ -7,7 +7,7 @@ from typing import List
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import numpy as np
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import numpy.typing as npt
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from common import Position, get_islands, AREAS_TO_CROSS, find_neighbours
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from common import Position, get_islands, AREAS_TO_CROSS, find_neighbours, count_in_grid
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from const import *
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@ -72,6 +72,11 @@ class Genome:
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score = SAND_COUNT + TREE_COUNT + WATER_COUNT
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score = score - len(self.sand_islands) - len(self.tree_islands) - len(self.water_islands)
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monsters_count = count_in_grid(self.grid, MAP_ALIASES.get('MONSTER'))
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if monsters_count < 2:
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self.fitness = 0
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return
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# todo: odległość manhattan od każdej wyspy
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self.fitness = score
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@ -1 +0,0 @@
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{"map": [[0, 3, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 0, 0, 2, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 6, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3, 0], [0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0], [2, 0, 1, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 3, 0, 1], [0, 0, 0, 6, 0, 0, 0, 6, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 3, 5, 5, 0, 3, 2, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 6, 3, 0, 0, 0, 0, 0, 0, 5, 5, 3, 2, 0, 0, 0, 0, 0, 0, 0, 7, 7], [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 7, 7, 0, 0], [0, 0, 0, 0, 1, 0, 3, 0, 0, 3, 3, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0], [0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 2, 0, 3, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 6, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 3, 1, 0, 0, 0, 0, 0, 0, 2, 0, 3, 0, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 0, 0, 2, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0], [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0]]}
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resources/maps/map_2022_06_02_01_11_02.json
Normal file
1
resources/maps/map_2022_06_02_01_11_02.json
Normal file
@ -0,0 +1 @@
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{"map": [[0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0], [0, 0, 0, 0, 2, 4, 0, 0, 0, 0, 0, 0, 2, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 3, 0, 3, 0, 0, 0, 0, 0, 4, 0, 0], [0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 3, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 3], [0, 3, 3, 0, 7, 0, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 3, 0, 1, 0, 0, 0, 3, 0], [0, 0, 0, 0, 0, 0, 0, 0, 6, 1, 0, 5, 5, 1, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0], [0, 0, 6, 6, 0, 0, 0, 1, 0, 0, 0, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 7, 0, 7, 2, 0, 0, 0, 0, 0, 0, 3, 0, 0], [6, 0, 3, 0, 0, 0, 1, 3, 0, 0, 0, 0, 0, 0, 6, 0, 3, 0, 0, 0, 7, 3, 0, 0], [0, 0, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 1, 0, 0, 0, 0, 2, 3, 4, 2, 0], [0, 2, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 3, 0, 3, 2, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 3, 0, 1, 1, 0, 7, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0], [0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [7, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}
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