const.py

"""
FileName: const.py
Author: Benhao Huang
Create Date: 2023/11/19
Description: Some const value for Demo
"""

import numpy as np

_AI_AID_INFO = ["Use AI Aid", "Close AI Aid"]

_BOARD_SIZE = 9
_BOARD_SIZE_1D = _BOARD_SIZE * _BOARD_SIZE
_BLANK = 0
_BLACK = 1
_WHITE = 2
_HUMAN = 4
_AI = 5
_NEW = 3
_PLAYER_SYMBOL1 = {
    _WHITE: "⚪",
    _BLANK: "➕",
    _BLACK: "⚫",
    _NEW: "🔴",
}

_PLAYER_SYMBOL2 = {
    _BLACK: "⚪",
    _BLANK: "➕",
    _WHITE: "⚫",
    _NEW: "🔴",
}



_PLAYER_NAME = {
    _AI: "AI",
    _BLANK: "Blank",
    _HUMAN: "YOU HUMAN",
}
_PLAYER_COLOR_AI_VS_AI = {
    _WHITE: "WHITE",
    _BLANK: "Blank",
    _BLACK: "BLACK",
}

_PLAYER_COLOR = {
    _WHITE: "WHITE",
    _BLANK: "Blank",
    _BLACK: "BLACK",
}
_HORIZONTAL = np.array(
    [
        [0, 0, 0, 0, 0],
        [0, 0, 0, 0, 0],
        [1, 1, 1, 1, 1],
        [0, 0, 0, 0, 0],
        [0, 0, 0, 0, 0],
    ]
)
_VERTICAL = np.array(
    [
        [0, 0, 1, 0, 0],
        [0, 0, 1, 0, 0],
        [0, 0, 1, 0, 0],
        [0, 0, 1, 0, 0],
        [0, 0, 1, 0, 0],
    ]
)
_DIAGONAL_UP_LEFT = np.array(
    [
        [1, 0, 0, 0, 0],
        [0, 1, 0, 0, 0],
        [0, 0, 1, 0, 0],
        [0, 0, 0, 1, 0],
        [0, 0, 0, 0, 1],
    ]
)
_DIAGONAL_UP_RIGHT = np.array(
    [
        [0, 0, 0, 0, 1],
        [0, 0, 0, 1, 0],
        [0, 0, 1, 0, 0],
        [0, 1, 0, 0, 0],
        [1, 0, 0, 0, 0],
    ]
)

_ROOM_COLOR = {
    True: _BLACK,
    False: _WHITE,
}


_MODEL_PATH = {
    "AlphaZero": "Gomoku_MCTS/checkpoint/2023-12-14-18-17-07_test_teaching_learning_collect_epochs=1000_size=9_model=normal/best_policy.model",
    "duel": "Gomoku_MCTS/checkpoint/2023-12-14-18-16-09_test_teaching_learning_collect_epochs=1000_size=9_model=duel/best_policy.model",
    "Gumbel AlphaZero": "Gomoku_MCTS/checkpoint/2023-12-14-21-19-40_selfplay_epochs=1000_size=9_model=gumbel/best_policy.model",
}

# _MODEL_PATH = {
#     "AlphaZero": "Gomoku_MCTS/checkpoint/2023-12-14-18-17-07_test_teaching_learning_collect_epochs=1000_size=9_model=normal/best_policy.model",
#     "duel": "Gomoku_MCTS/checkpoint/2023-12-14-10-22-12_test_teaching_learning_collect_epochs=1000_size=9_model=duel/best_policy.model",
#     "Gumbel AlphaZero": "Gomoku_MCTS/checkpoint/2023-12-14-21-19-40_selfplay_epochs=1000_size=9_model=gumbel/best_policy.model",
# }