from collections import defaultdict from typing import Tuple import numpy as np from pathlib import Path # Constants WALL = '#' DOOR = 'D' DANGER_ZONE = 'x' LEVELS_DIR = 'levels' LEVEL = 'level' AGENT = 'agent' IS_FREE_CELL = 0 IS_OCCUPIED_CELL = 1 DOORS = 'doors' IS_CLOSED_DOOR = IS_OCCUPIED_CELL IS_OPEN_DOOR = -1 LEVEL_IDX = 0 TO_BE_AVERAGED = ['dirt_amount', 'dirty_tiles'] IGNORED_DF_COLUMNS = ['Episode', 'Run', 'train_step', 'step', 'index', 'dirt_amount', 'dirty_tile_count'] ACTIONMAP = defaultdict(lambda: (0, 0), dict(north=(-1, 0), east=(0, 1), south=(1, 0), west=(0, -1), north_east=(-1, +1), south_east=(1, 1), south_west=(+1, -1), north_west=(-1, -1) ) ) HORIZONTAL_DOOR_MAP = np.asarray([[0, 0, 0], [1, 0, 1], [0, 0, 0]]) VERTICAL_DOOR_MAP = np.asarray([[0, 1, 0], [0, 0, 0], [0, 1, 0]]) HORIZONTAL_DOOR_ZONE_1 = np.asarray([[1, 1, 1], [0, 0, 0], [0, 0, 0]]) HORIZONTAL_DOOR_ZONE_2 = np.asarray([[0, 0, 0], [0, 0, 0], [1, 1, 1]]) VERTICAL_DOOR_ZONE_1 = np.asarray([[1, 0, 0], [0, 0, 0], [0, 0, 1]]) VERTICAL_DOOR_ZONE_2 = np.asarray([[1, 0, 0], [0, 0, 0], [0, 0, 1]]) NOT_VALID = False VALID = True # Utility functions def parse_level(path): with path.open('r') as lvl: level = list(map(lambda x: list(x.strip()), lvl.readlines())) if len(set([len(line) for line in level])) > 1: raise AssertionError('Every row of the level string must be of equal length.') return level def one_hot_level(level, wall_char=WALL): grid = np.array(level) binary_grid = np.zeros(grid.shape, dtype=np.int8) binary_grid[grid == wall_char] = 1 return binary_grid def check_position(slice_to_check_against: np.ndarray, position_to_check: Tuple[int, int]): x_pos, y_pos = position_to_check # Check if agent colides with grid boundrys valid = not ( x_pos < 0 or y_pos < 0 or x_pos >= slice_to_check_against.shape[0] or y_pos >= slice_to_check_against.shape[0] ) # Check for collision with level walls valid = valid and not slice_to_check_against[x_pos, y_pos] return valid if __name__ == '__main__': parsed_level = parse_level(Path(__file__).parent / 'factory' / 'levels' / 'simple.txt') y = one_hot_level(parsed_level) print(np.argwhere(y == 0))