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Genome class responsible for keeping grid and lists of positions

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This commit is contained in:
korzepadawid 2022-05-30 23:27:31 +02:00
parent c06624d79c
commit 7a9d685701
1 changed files with 38 additions and 35 deletions
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73
algorithms/genetic/map_generator.py
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@ -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(
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
return positions
def main() -> None:
example_genome = genome()
print(example_genome)
example_genome = Genome()
print(example_genome.knights_red)
print(example_genome.knights_blue)
print(example_genome.grid)
if __name__ == '__main__':