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https://github.com/illiumst/marl-factory-grid.git
synced 2025-05-23 07:16:44 +02:00
57 lines
1.4 KiB
Python
57 lines
1.4 KiB
Python
import numpy as np
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from pathlib import Path
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# Constants
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WALL = '#'
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# Utility functions
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def parse_level(path):
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with path.open('r') as lvl:
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level = list(map(lambda x: list(x.strip()), lvl.readlines()))
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if len(set([len(line) for line in level])) > 1:
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raise AssertionError('Every row of the level string must be of equal length.')
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return level
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def one_hot_level(level, wall_char=WALL):
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grid = np.array(level)
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binary_grid = np.zeros(grid.shape)
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binary_grid[grid == wall_char] = 1
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return binary_grid
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def check_agent_move(state, dim, action):
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agent_slice = state[dim] # horizontal slice from state tensor
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agent_pos = np.argwhere(agent_slice == 1)
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if len(agent_pos) > 1:
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raise AssertionError('Only one agent per slice is allowed.')
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x, y = agent_pos[0]
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x_new, y_new = x, y
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if action == 0: # North
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x_new -= 1
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elif action == 1: # East
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y_new += 1
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elif action == 2: # South
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x_new += 1
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elif action == 3: # West
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y_new -= 1
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elif action == 4: # NE
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x_new -= 1
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y_new += 1
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elif action == 5: # SE
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x_new += 1
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y_new += 1
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elif action == 6: # SW
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x_new += 1
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y_new -= 1
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elif action == 7: # NW
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x_new -= 1
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y_new -= 1
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if __name__ == '__main__':
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x = parse_level(Path(__file__).parent / 'factory' / 'levels' / 'simple.txt')
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y = one_hot_level(x)
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print(np.argwhere(y == 0)) |