scheduling_algorithm_didi/env.py

import numpy as np

class env():
    def __init__(self,x = 50,y = 50):
        # 方形格子
        self.ori = np.zeros(shape=(x,y))

    def update(self,_x,_y):
        s = self.ori.copy()
        s[_x,_y] = 1
        return s

if __name__ == '__main__':
    env = env()
    s = env.update(1,1)
    print(s)