fixed bugs in genetic alg; modified fitness;

algorithms/genetic/common.py

@@ -122,10 +122,21 @@ def find_neighbours(grid: npt.NDArray, col: int, row: int) -> List[Position]:
     return neighbours
 
 
-def count_in_grid(grid: npt.NDArray, target) -> int:
+def get_tiles_positions(grid: npt.NDArray):
-    count = 0
+    sands = []
-    for row in grid:
+    trees = []
-        for col in row:
+    waters = []
-            if col == target:
+    monsters = []
-                count += 1
+
-    return count
+    for row_num in range(len(grid)):
+        for col_num in range(len(grid[row_num])):
+            if grid[row_num][col_num] == MAP_ALIASES.get('WATER'):
+                waters.append(Position(row=row_num, col=col_num))
+            elif grid[row_num][col_num] == MAP_ALIASES.get('TREE'):
+                trees.append(Position(row=row_num, col=col_num))
+            elif grid[row_num][col_num] == MAP_ALIASES.get('SAND'):
+                sands.append(Position(row=row_num, col=col_num))
+            elif grid[row_num][col_num] == MAP_ALIASES.get('MONSTER'):
+                monsters.append(Position(row=row_num, col=col_num))
+
+    return sands, trees, waters, monsters

algorithms/genetic/genome.py

@@ -7,7 +7,7 @@ from typing import List
 import numpy as np
 import numpy.typing as npt
 
-from common import Position, get_islands, AREAS_TO_CROSS, find_neighbours, count_in_grid
+from common import Position, get_islands, AREAS_TO_CROSS, find_neighbours, get_tiles_positions
 from const import *
 
 
@@ -68,16 +68,26 @@ class Genome:
         self.tree_islands = get_islands(self.grid, self.trees)
         self.water_islands = get_islands(self.grid, self.waters)
 
+    def update_map(self):
+        self.sands, self.trees, self.waters, self.monsters = get_tiles_positions(self.grid)
+
+        self.sand_islands = get_islands(self.grid, self.sands)
+        self.tree_islands = get_islands(self.grid, self.trees)
+        self.water_islands = get_islands(self.grid, self.waters)
+
     def calc_fitness(self):
         score = SAND_COUNT + TREE_COUNT + WATER_COUNT
         score = score - len(self.sand_islands) - len(self.tree_islands) - len(self.water_islands)
 
-        monsters_count = count_in_grid(self.grid, MAP_ALIASES.get('MONSTER'))
+        sands, trees, waters, monsters = get_tiles_positions(self.grid)
-        if monsters_count < 2:
+
+        if len(monsters) < MONSTERS_COUNT:
             self.fitness = 0
             return
 
-        # todo: odległość manhattan od każdej wyspy
+        if len(sands) < SAND_COUNT or len(trees) < TREE_COUNT or len(waters) < WATER_COUNT:
+            self.fitness = 5
+            return
 
         self.fitness = score
 
@@ -91,9 +101,7 @@ class Genome:
             for col in range(area_to_cross.position.col, area_to_cross.position.col + area_to_cross.width):
                 child.grid[row][col] = partner.grid[row][col]
 
-        child.sand_islands = get_islands(self.grid, self.sands)
+        child.update_map()
-        child.tree_islands = get_islands(self.grid, self.trees)
-        child.water_islands = get_islands(self.grid, self.waters)
 
         return child
 
@@ -110,9 +118,7 @@ class Genome:
             free_tiles_nearby = find_neighbours(self.grid, next_island.col, next_island.row)
 
             tile_type = self.grid[island.row][island.col]
-
             self.grid[island.row][island.col] = MAP_ALIASES.get('GRASS')
-            islands_of_same_type.remove(island)
 
             # todo: if there are no free tiles around then randomize another next_island
             if len(free_tiles_nearby) > 0:
@@ -121,9 +127,7 @@ class Genome:
                 island.col = random_free_tile.col
                 self.grid[island.row][island.col] = tile_type
 
-                self.sand_islands = get_islands(self.grid, self.sands)
+                self.update_map()
-                self.tree_islands = get_islands(self.grid, self.trees)
-                self.water_islands = get_islands(self.grid, self.waters)
 
 
 def is_empty(grid: npt.NDArray, position: Position) -> bool:

algorithms/genetic/map_generator.py

@@ -5,9 +5,9 @@ from population import Population
 
 def main() -> None:
     population_size = 500
-    mutation_rate = 0.4
+    mutation_rate = 0.3
 
-    population = Population(mutation_rate, population_size, 27)
+    population = Population(mutation_rate, population_size, 60)
 
     while not population.evaluate():
         # create next generation

algorithms/genetic/map_importer_exporter.py

@@ -18,7 +18,6 @@ def export_map(grid: npt.NDArray):
     path = Path("../../resources/maps/")
     file_to_open = path / file_name
 
-    print(file_to_open)
     with open(file_to_open, "w+") as write_file:
         json.dump(json_data, write_file)
     print("Saved map to file " + file_name)

resources/maps/map_2022_06_02_00_36_19.json

@@ -1 +0,0 @@
-{"map": [[3, 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, 0, 0, 3, 0, 0, 4, 0, 0, 0, 0, 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, 1, 3, 0, 0, 1, 1, 0], [2, 1, 0, 0, 2, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 3, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 3, 3, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 1, 0, 0, 2], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0], [0, 0, 6, 0, 1, 3, 0, 0, 0, 0, 0, 5, 5, 0, 0, 0, 3, 0, 0, 0, 0, 0, 7, 0], [0, 0, 0, 0, 0, 0, 3, 0, 1, 0, 1, 5, 5, 0, 0, 1, 0, 3, 0, 0, 3, 7, 0, 0], [0, 0, 2, 0, 0, 1, 0, 0, 0, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 6, 6, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 1, 0, 0, 2, 0, 1, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 6, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 7, 0], [0, 0, 0, 0, 2, 3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 2, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 4, 0, 3, 0, 3, 0, 3, 3], [3, 1, 0, 1, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 3, 2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 3, 0, 1, 0], [0, 0, 0, 0, 3, 3, 3, 0, 0, 2, 0, 0, 2, 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, 1, 0, 0, 0, 0, 3, 3, 0, 0]]}

resources/maps/map_2022_06_02_00_38_31.json

@@ -1 +0,0 @@
-{"map": [[0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 3, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0], [1, 2, 0, 2, 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, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2], [0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0], [6, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6, 0, 3, 0, 0, 0, 2, 3, 0, 3, 0, 5, 5, 0, 0, 0, 0, 0, 3, 0, 3, 0, 0, 0], [0, 1, 0, 2, 3, 0, 0, 0, 2, 0, 0, 5, 5, 3, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0], [0, 6, 6, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 7, 7, 3], [0, 0, 0, 0, 1, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 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, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2], [0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3], [2, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3], [3, 0, 0, 0, 3, 3, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0]]}

resources/maps/map_2022_06_02_01_11_02.json

@@ -1 +0,0 @@
-{"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]]}

resources/maps/map_2022_06_02_13_17_41.json

@@ -0,0 +1 @@
+{"map": [[3, 3, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0], [0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 2, 0, 0, 2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 2, 3, 3, 3, 3, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0], [0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 0, 1, 2, 0, 0, 0, 2, 0, 0, 0, 0], [6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 3, 3, 3, 0, 0, 0, 0, 0, 0, 7, 7], [3, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0], [3, 3, 6, 0, 1, 0, 0, 3, 3, 0, 0, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 1, 1, 0], [3, 3, 0, 0, 1, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 7, 1, 0], [0, 3, 0, 0, 0, 0, 2, 2, 2, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 3, 1, 0], [0, 3, 3, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 0, 0], [0, 0, 3, 3, 0, 4, 0, 0, 0, 1, 1, 0, 0, 0, 1, 4, 0, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 4, 0, 1, 0, 0, 0, 1, 0, 0, 3, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 0], [0, 0, 0, 0, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 0, 0]]}

resources/maps/map_2022_06_02_13_24_20.json

@@ -0,0 +1 @@
+{"map": [[0, 0, 0, 1, 0, 3, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0], [0, 2, 0, 1, 0, 3, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 3, 3, 1, 0], [3, 2, 2, 1, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 1, 0], [3, 3, 2, 1, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0], [0, 3, 2, 2, 0, 3, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 3, 2, 0, 0, 3, 1, 0, 0, 4, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 3, 3, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 7, 0, 1, 1], [6, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 0, 2, 2, 0, 0, 0, 0, 0, 0, 1, 1], [6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 7], [0, 0, 6, 2, 0, 0, 0, 0, 2, 2, 2, 2, 2, 0, 2, 2, 2, 0, 0, 0, 7, 0, 1, 0], [0, 0, 0, 2, 0, 0, 2, 2, 2, 0, 0, 2, 0, 3, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 2, 2, 2, 0, 0, 0, 2, 1, 0, 0, 2, 0, 3, 1, 0, 0, 0, 0, 0, 0, 7, 0, 0], [0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 2, 2, 2, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0], [1, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0], [1, 0, 3, 3, 3, 4, 0, 0, 0, 0, 3, 0, 4, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 0, 3, 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, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}

resources/maps/map_2022_06_02_13_27_18.json

@@ -0,0 +1 @@
+{"map": [[0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1], [0, 0, 0, 0, 3, 3, 0, 0, 1, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 3, 3], [0, 0, 0, 3, 3, 3, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 3], [0, 0, 0, 3, 3, 0, 0, 0, 0, 0, 2, 2, 0, 0, 0, 0, 0, 4, 0, 0, 0, 2, 0, 3], [0, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2], [0, 0, 3, 3, 3, 0, 0, 0, 3, 3, 3, 3, 0, 2, 2, 2, 0, 0, 0, 0, 0, 7, 2, 0], [0, 0, 0, 6, 0, 0, 0, 2, 2, 2, 0, 5, 5, 0, 2, 0, 0, 2, 2, 2, 2, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 5, 5, 0, 2, 0, 0, 0, 0, 2, 2, 1, 1, 7], [0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 3, 3, 1, 7], [6, 0, 0, 6, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3, 1, 1, 0], [6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 3, 3, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 3, 3, 0, 1, 1, 7, 0], [0, 0, 0, 0, 0, 3, 3, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 3, 3, 3, 1, 1, 1, 0], [0, 3, 3, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 1, 0, 0], [0, 3, 3, 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, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 4, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}