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Chess_Probabilistic_Program…/i_mcts.py

36 lines
805 B
Python

import chess
from abc import ABC, abstractmethod
from i_strategy import IStrategy
class IMcts(ABC):
def __init__(self, board: chess.Board, strategy: IStrategy):
self.board = board
@abstractmethod
def sample(self, runs: int = 1000) -> None:
"""
Run the MCTS simulation
:param runs: number of runs
:return:
"""
pass
@abstractmethod
def apply_move(self, move: chess.Move) -> None:
"""
Apply the move to the chess board
:param move: move to apply
:return:
"""
pass
@abstractmethod
def get_children(self) -> list['IMcts']:
"""
Return the immediate children of the root node
:return: list of immediate children of mcts root
"""
pass