minor fix
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+14
-9
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@@ -347,6 +347,7 @@ class KaTrainGui(Screen, KaTrainBase):
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"t": self.analysis_controls.ownership,
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"r": self.analysis_controls.policy,
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"enter": ("ai-move",),
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"numpadenter": ("ai-move",),
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"a": ("analyze-extra", "extra"),
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"s": ("analyze-extra", "equalize"),
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"d": ("analyze-extra", "sweep"),
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+9
-5
@@ -15,6 +15,10 @@ from katrain.core.constants import (
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AI_JIGO,
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AI_SCORELOSS,
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AI_DEFAULT,
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AI_INFLUENCE,
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AI_LOCAL,
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AI_TENUKI,
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AI_TERRITORY,
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)
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from katrain.core.engine import EngineDiedException
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from katrain.core.game import Game, GameNode, Move
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@@ -99,7 +103,7 @@ def ai_move(game: Game, ai_mode: str, ai_settings: Dict) -> Tuple[Move, GameNode
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elif ai_mode in AI_STRATEGIES_PICK:
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legal_policy_moves = [(pol, mv) for pol, mv in policy_moves if not mv.is_pass if pol > 0]
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n_moves = int(ai_settings["pick_frac"] * len(legal_policy_moves) + ai_settings["pick_n"])
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if "influence" in ai_mode or "territory" in ai_mode:
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if ai_mode in [AI_INFLUENCE, AI_TERRITORY]:
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thr_line = ai_settings["threshold"] - 1 # zero-based
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if cn.depth >= ai_settings["endgame"] * size[0] * size[1]:
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@@ -113,7 +117,7 @@ def ai_move(game: Game, ai_mode: str, ai_settings: Dict) -> Tuple[Move, GameNode
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f"Generated equal weights as move number >= {ai_settings['endgame'] * size[0] * size[1]}. "
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)
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else:
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if "influence" in ai_mode:
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if ai_mode == AI_INFLUENCE:
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weight = lambda x, y: (1 / ai_settings["line_weight"]) ** (
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max(0, thr_line - min(size[0] - 1 - x, x)) + max(0, thr_line - min(size[1] - 1 - y, y))
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)
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@@ -128,7 +132,7 @@ def ai_move(game: Game, ai_mode: str, ai_settings: Dict) -> Tuple[Move, GameNode
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if policy_grid[y][x] > 0
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]
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ai_thoughts += f"Generated weights for {ai_mode} according to weight factor {ai_settings['line_weight']} and distance from {thr_line+1}th line. "
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elif "local" in ai_mode or "tenuki" in ai_mode:
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elif ai_mode in [AI_LOCAL, AI_TENUKI]:
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var = ai_settings["stddev"] ** 2
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if not cn.move or cn.move.coords is None:
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weighted_coords = [(1, 1, *top_policy_move.coords)] # if "pick" in ai_mode -> even
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@@ -141,7 +145,7 @@ def ai_move(game: Game, ai_mode: str, ai_settings: Dict) -> Tuple[Move, GameNode
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for y in range(size[1])
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if policy_grid[y][x] > 0
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]
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if "tenuki" in ai_mode:
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if ai_mode == AI_TENUKI:
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if cn.depth < ai_settings["endgame"] * size[0] * size[1]:
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weighted_coords = [(p, 1 - w, x, y) for p, w, x, y in weighted_coords]
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ai_thoughts += f"Generated weights based on one minus gaussian with variance {var} around coordinates {mx},{my}. "
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@@ -152,7 +156,7 @@ def ai_move(game: Game, ai_mode: str, ai_settings: Dict) -> Tuple[Move, GameNode
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ai_thoughts += (
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f"Generated weights based on gaussian with variance {var} around coordinates {mx},{my}. "
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)
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elif "pick" in ai_mode:
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elif ai_mode == AI_PICK:
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weighted_coords = [
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(policy_grid[y][x], 1, x, y)
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for x in range(size[0])
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Binary file not shown.
@@ -349,6 +349,9 @@ msgstr "일반 설정"
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msgid "engine settings"
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msgstr "KataGo 엔진 설정"
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msgid "config file path"
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msgstr "설정 파일 경로: {file}"
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msgid "engine:katago"
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msgstr "KataGo 실행 파일 경로"
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@@ -528,7 +531,3 @@ msgid "aihelp:p:territory"
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msgstr ""
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"`threshold`선 밑의 수를 더 많이 뽑은 후 그 중 최선의 수를 둡니다. `line_weight`을 증가시키면 바둑판 중앙에 있는"
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" 수를 더욱 꺼리게 됩니다. 판이 `endgame` 비율만큼 차면 평범하게 둡니다."
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#. TODO
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msgid "config file path"
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msgstr "설정 파일 경로: {file}"
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@@ -116,6 +116,7 @@
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Label:
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SmallDescriptionLabel:
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id: configfile
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text: i18n._('config file path')
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Label:
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BackgroundMixin:
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background_color: LIGHTGREY
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