import math
import random
from time import sleep

import numpy as np

# from scipy import 
from matplotlib import pyplot as plt

random.seed(1)

class Pilot:
    def __init__(self): pass
    def handle(self, image: np.ndarray): pass
    def act(self) -> float | None: pass

class RandomPilot(Pilot):
    def __init__(self, velocity: float = 1):
        pass

    def act(self) -> float:
        return (random.random() - 0.5) * 0.1

# def _test():
#     randomPilot = RandomPilot()
#     point = [0, 0]
#     iter_count = 100
#     points = [point.copy()]

#     for i in range(iter_count):
#         dx, dy = randomPilot.step()
#         prev_point = point.copy()
#         point[0] += dx
#         point[1] += dy
#         points.append(point.copy())

#     coords = list(zip(*points))
#     padding = 5
#     plt.axis([
#         min(coords[0]) - padding, max(coords[0]) + padding,
#         min(coords[1]) - padding, max(coords[1]) + padding])

#     for i in range(iter_count):
#         plt.plot(coords[0][i:i+2], coords[1][i:i+2], color='#5e5')
#         plt.pause(0.05)

#     sleep(1)

# if __name__ == '__main__':
#     _test()