example genome generation

algorithms/genetic/map_generator.py

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+from dataclasses import dataclass
+from random import randrange
+
+import numpy as np
+import numpy.typing as npt
+
+# map config
+KNIGHTS_PER_TEAM_COUNT = 4
+SAND_COUNT = 21
+WATER_COUNT = 21
+TREE_COUNT = 37
+MONSTERS_COUNT = 2
+CASTLES_COUNT = 1
+ROWS = 19
+COLUMNS = 24
+KNIGHTS_SPAWN_WIDTH = 4
+KNIGHTS_SPAWN_HEIGHT = 7
+LEFT_KNIGHTS_SPAWN_FIRST_ROW = 6
+LEFT_KNIGHTS_SPAWN_FIRST_COL = 0
+RIGHT_KNIGHTS_SPAWN_FIRST_ROW = 6
+RIGHT_KNIGHTS_SPAWN_FIRST_COL = 20
+
+# aliases
+GRASS = 0
+SAND = 1
+WATER = 2
+TREE = 3
+MONSTER = 4
+CASTLE = 5
+KNIGHT_RED = 6
+KNIGHT_BLUE = 7
+
+
+@dataclass
+class Position:
+    row: int
+    col: int
+
+
+def is_empty(grid: npt.NDArray, position: Position) -> bool:
+    return grid[position.row, position.col] in [GRASS, SAND]
+
+
+def is_invalid_area(spawn_position_start, height, width) -> bool:
+    return spawn_position_start.row + height - 1 < 0 or \
+           spawn_position_start.row + height - 1 >= ROWS or \
+           spawn_position_start.col + width - 1 < 0 or \
+           spawn_position_start.col + width - 1 >= COLUMNS
+
+
+def spawn_objects_in_given_area(grid: npt.NDArray, object_alias: KNIGHT_RED | KNIGHT_BLUE | CASTLE | MONSTER,
+                                objects_count: int = 1,
+                                spawn_position_start: Position = Position(row=0, col=0),
+                                width: int = 1,
+                                height: int = 1) -> None:
+    if is_invalid_area(spawn_position_start, height, width):
+        raise ValueError("Invalid spawn area")
+
+    if objects_count > 0:
+        row = randrange(spawn_position_start.row, spawn_position_start.row + height)
+        col = randrange(spawn_position_start.col, spawn_position_start.col + width)
+        position = Position(row=row, col=col)
+        objects_remaining = int(objects_count)
+
+        if is_empty(grid=grid, position=position):
+            grid[position.row, position.col] = object_alias
+            objects_remaining -= 1
+
+        spawn_objects_in_given_area(
+            grid=grid,
+            object_alias=object_alias,
+            objects_count=objects_remaining,
+            spawn_position_start=spawn_position_start,
+            width=width,
+            height=height
+        )
+
+
+def genome() -> npt.NDArray:
+    grid = np.zeros((ROWS, COLUMNS), dtype=int)
+    spawn_objects_in_given_area(
+        grid=grid,
+        object_alias=KNIGHT_RED,
+        objects_count=KNIGHTS_PER_TEAM_COUNT,
+        spawn_position_start=Position(row=LEFT_KNIGHTS_SPAWN_FIRST_ROW, col=LEFT_KNIGHTS_SPAWN_FIRST_COL),
+        width=KNIGHTS_SPAWN_WIDTH,
+        height=KNIGHTS_SPAWN_HEIGHT
+    )
+
+    spawn_objects_in_given_area(
+        grid=grid,
+        object_alias=KNIGHT_BLUE,
+        objects_count=KNIGHTS_PER_TEAM_COUNT,
+        spawn_position_start=Position(row=RIGHT_KNIGHTS_SPAWN_FIRST_ROW, col=RIGHT_KNIGHTS_SPAWN_FIRST_COL),
+        width=KNIGHTS_SPAWN_WIDTH,
+        height=KNIGHTS_SPAWN_HEIGHT
+    )
+    return grid
+
+
+def main() -> None:
+    example_genome = genome()
+    print(example_genome)
+
+
+if __name__ == '__main__':
+    main()