algorithms/genetic/map_generator.py

@@ -1,5 +1,6 @@
 from dataclasses import dataclass
 from random import randrange
+from typing import List
 
 import numpy as np
 import numpy.typing as npt
@@ -37,6 +38,32 @@ class Position:
     col: int
 
 
+class Genome:
+    grid: npt.NDArray
+    knights_red: List[Position]
+    knights_blue: List[Position]
+
+    def __init__(self):
+        self.grid = np.zeros((ROWS, COLUMNS), dtype=int)
+        self.knights_red = spawn_objects_in_given_area(
+            grid=self.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
+        )
+
+        self.knights_blue = spawn_objects_in_given_area(
+            grid=self.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
+        )
+
+
 def is_empty(grid: npt.NDArray, position: Position) -> bool:
     return grid[position.row, position.col] in [GRASS, SAND]
 
@@ -52,55 +79,31 @@ def spawn_objects_in_given_area(grid: npt.NDArray, object_alias: KNIGHT_RED | KN
                                 objects_count: int = 1,
                                 spawn_position_start: Position = Position(row=0, col=0),
                                 width: int = 1,
-                                height: int = 1) -> None:
+                                height: int = 1) -> List[Position]:
     if is_invalid_area(spawn_position_start, height, width):
         raise ValueError("Invalid spawn area")
 
-    if objects_count > 0:
+    objects_remaining = int(objects_count)
+    positions = []
+
+    while objects_remaining > 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
+            positions.append(position)
             objects_remaining -= 1
 
-        spawn_objects_in_given_area(
+    return positions
-            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()
+    example_genome = Genome()
-    print(example_genome)
+    print(example_genome.knights_red)
+    print(example_genome.knights_blue)
+    print(example_genome.grid)
 
 
 if __name__ == '__main__':