51 lines
1.2 KiB
Python
51 lines
1.2 KiB
Python
import chess
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from abc import ABC, abstractmethod
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from i_strategy import IStrategy
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from typing import Dict
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class IMcts(ABC):
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def __init__(self, board: chess.Board, strategy: IStrategy):
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self.board = board
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@abstractmethod
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def sample(self, runs: int = 1000) -> None:
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"""
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Run the MCTS simulation
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:param runs: number of runs
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:return:
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"""
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pass
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@abstractmethod
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def apply_move(self, move: chess.Move) -> None:
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"""
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Apply the move to the chess board
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:param move: move to apply
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:return:
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"""
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pass
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@abstractmethod
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def get_children(self) -> list['IMcts']:
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"""
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Return the immediate children of the root node
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:return: list of immediate children of mcts root
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"""
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pass
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@abstractmethod
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def get_moves(self) -> Dict[chess.Move, int]:
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"""
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Return all legal moves from this node with respective scores
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:return: dictionary with moves as key and scores as values
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"""
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pass
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"""
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TODO: add score class:
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how many moves until the end of the game?
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score ranges?
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perspective of white/black
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""" |