61 lines
1.4 KiB
Python
61 lines
1.4 KiB
Python
import numpy as np
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from a_player import APlayer
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from helper import to_state_string, create_empty_state, create_test_state
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from state import get_potential_moves
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class HumanPlayer(APlayer):
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def __init__(self, mark, name: str):
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APlayer.__init__(self, mark)
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self.name = name
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def move(self, state: np.array):
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move = 0
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has_moved = False
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while True:
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print(f"{self.name}, Du bist dran. Das Spielfeld sieht so aus:")
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print(to_state_string(state, create_test_state()))
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print(f"{self.name}, in welches Feld willst Du Dein \"{self.mark}\" setzen?")
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choice = input("Feldnummer: ")
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if choice in "Qq":
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print("Abbruch")
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break
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if not choice in "123456789" or len(choice) != 1:
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print("Ungültiges Feld!")
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print("Versuche es nochmal")
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continue
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move = int(choice) - 1
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if not move in get_potential_moves(state):
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print("Feld is bereits belegt!")
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print("Versuche es nochmal")
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continue
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print("So soll es geschehen")
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has_moved = True
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break
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state_next = self.to_state(state.copy(), move)
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return state_next, has_moved
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def reward(self, value):
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if value > 0:
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print(f"{self.name}, Du hast gewonnen, super!")
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else:
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print(f"{self.name}, Du hast leider verloren!")
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if __name__ == '__main__':
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p = HumanPlayer("X", "Jens")
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state = create_empty_state()
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while True:
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state, has_moved = p.move(state)
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if not has_moved:
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break
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p.reward(1.0)
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