analysis back up
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@@ -21,15 +21,14 @@ class Controls(GridLayout):
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def set_status(self, msg):
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self.info.text = msg
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def show_evaluation_stats(self, move):
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if move.analysis_ready:
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self.score.text = move.format_score().replace("-", "\u2013")
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self.temperature.text = f"{move.temperature_stats[2]:.1f}"
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if move.parent and move.parent.analysis_ready:
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if move.evaluation is not None:
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self.evaluation.text = f"{move.evaluation:.1%}"
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else:
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self.evaluation.text = f"?"
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def show_evaluation_stats(self, node):
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if node.analysis_ready:
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self.score.text = node.format_score().replace("-", "\u2013")
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self.win_rate.text = node.format_win_rate()
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if node.points_lost is not None:
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self.points_lost.text = f"{node.points_lost:.1f}"
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else:
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self.points_lost.text = f"?"
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# handles showing completed analysis and triggered actions like auto undo and ai move
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def update_evaluation(self):
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@@ -40,36 +39,36 @@ class Controls(GridLayout):
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if current_player_is_human_or_both_robots and not current_node.is_root:
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self.info.text = current_node.comment(eval=True, hints=self.hints.active(move.player))
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self.evaluation.text = ""
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self.points_lost.text = ""
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if current_player_is_human_or_both_robots:
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self.show_evaluation_stats(current_node)
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if current_node.analysis_ready and current_node.parent and current_node.parent.analysis_ready and not current_node.children and not current_node.x_comment.get("undo"):
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# handle automatic undo
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if self.auto_undo.active(move.player) and not self.ai_auto.active(move.player) and not current_node.auto_undid:
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ts = self.train_settings
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# TODO: is this overly generous wrt low visit outdated evaluations?
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evaluation = current_node.evaluation if current_node.evaluation is not None else 1 # assume move is fine if temperature is negative
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move_eval = max(evaluation, current_node.outdated_evaluation or 0)
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points_lost = (current_node.parent or current_node).temperature_stats[2] * (1 - move_eval)
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if move_eval < ts["undo_eval_threshold"] and points_lost >= ts["undo_point_threshold"]:
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if self.num_undos(current_node) == 0:
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current_node.x_comment["undid"] = f"Move was below threshold, but no undo granted (probability is {ts['num_undo_prompts']:.0%}).\n"
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self.update_evaluation()
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if False: # TODO: UNDO AND AI MOVE
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if current_node.analysis_ready and current_node.parent and current_node.parent.analysis_ready and not current_node.children and not current_node.x_comment.get("undo"):
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# handle automatic undo
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if self.auto_undo.active(move.player) and not self.ai_auto.active(move.player) and not current_node.auto_undid:
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ts = self.train_settings
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# TODO: is this overly generous wrt low visit outdated evaluations?
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evaluation = current_node.evaluation if current_node.evaluation is not None else 1 # assume move is fine if temperature is negative
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move_eval = max(evaluation, current_node.outdated_evaluation or 0)
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points_lost = (current_node.parent or current_node).temperature_stats[2] * (1 - move_eval)
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if move_eval < ts["undo_eval_threshold"] and points_lost >= ts["undo_point_threshold"]:
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if self.num_undos(current_node) == 0:
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current_node.x_comment["undid"] = f"Move was below threshold, but no undo granted (probability is {ts['num_undo_prompts']:.0%}).\n"
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self.update_evaluation()
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else:
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current_node.auto_undid = True
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self.parent.game.undo()
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if len(current_node.parent.children) >= ts["num_undo_prompts"] + 1:
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best_move = sorted([m for m in current_node.parent.children], key=lambda m: -(m.evaluation_info[0] or 0))[0]
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best_move.x_comment["undo_autoplay"] = f"Automatically played as best option after max. {ts['num_undo_prompts']} undo(s).\n"
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self.parent.game.play(best_move)
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self.update_evaluation()
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return
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# ai player doesn't technically need parent ready, but don't want to override waiting for undo
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current_node = self.parent.game.current_node # this effectively checks undo didn't just happen
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if self.ai_auto.active(move.opponent) and not self.parent.game.game_ended:
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if current_node.children:
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self.info.text = "AI paused since moves were undone. Press 'AI Move' or choose a move for the AI to continue playing."
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else:
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current_node.auto_undid = True
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self.parent.game.undo()
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if len(current_node.parent.children) >= ts["num_undo_prompts"] + 1:
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best_move = sorted([m for m in current_node.parent.children], key=lambda m: -(m.evaluation_info[0] or 0))[0]
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best_move.x_comment["undo_autoplay"] = f"Automatically played as best option after max. {ts['num_undo_prompts']} undo(s).\n"
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self.parent.game.play(best_move)
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self.update_evaluation()
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return
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# ai player doesn't technically need parent ready, but don't want to override waiting for undo
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current_node = self.parent.game.current_node # this effectively checks undo didn't just happen
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if self.ai_auto.active(move.opponent) and not self.parent.game.game_ended:
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if current_node.children:
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self.info.text = "AI paused since moves were undone. Press 'AI Move' or choose a move for the AI to continue playing."
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else:
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self._do_aimove()
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self.redraw(include_board=False)
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self._do_aimove()
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