{
    "engine": {
        "katago": "KataGo/katago",
        "model": "KataGo/models/b15-1.3.2.txt.gz",
        "config": "KataGo/analysis_config.cfg",
        "threads": 16,
        "max_visits": 500,
        "fast_visits": 50,
        "max_time": 3.0,
        "wide_root_noise": 0.0,
        "_enable_ownership": true
    },
    "sgf": {
        "sgf_load": "~/Downloads",
        "sgf_save": "./sgfout",
        "save_feedback": [
            true,
            true,
            true,
            true,
            true,
            true
        ]
    },
    "game": {
        "init_size": 19,
        "init_komi": 6.5
    },
    "trainer": {
        "num_undo_prompts": [
            1,
            1,
            1,
            0.5,
            0,
            0
        ],
        "eval_thresholds": [
            12,
            6,
            3,
            1.5,
            0.5,
            0
        ],
        "eval_off_show_last": 3,
        "eval_show_ai": true,
        "lock_ai": false
    },
    "ai": {
        "Default": {
            "_help_right": "No settings available for Default KataGo AI, strength is mainly affected by `max_visits` and `model` in the main settings `engine` section.",
            "_help_left": ""
        },
        "Balance": {
            "target_score": 2,
            "random_loss": 1,
            "max_loss": 5,
            "min_visits": 20,
            "_help_left": "Will try to win by `target_score`, lose at most `random_loss` when behind and `max_loss` when ahead.",
            "_help_right": "Never plays moves with less than `min_visits` visits, so also check engine settings."
        },
        "Jigo": {
            "target_score": 0.5,
            "_help_left": "Will try to win by `target_score`, without further restrictions.",
            "_help_right": "Also affected by engine settings such as `max_visits`."
        },
        "ScoreLoss": {
            "strength": 0.5,
            "_help_left": "Plays moves weighted inversely by point loss.",
            "_help_right": "Also affected by engine settings such as `max_visits`, likely to play more varied/weaker with higher visits."
        },
        "Policy": {
            "opening_moves": 0.05,
            "_help_left": "Strength is mainly affected by `model` in engine settings, but should be high dan regardless.",
            "_help_right": "Plays the P:Weighted strategy during the first `opening_moves` * <number of intersections> moves to allow variety."
        },
        "P:Weighted": {
            "_help_right": "pick_override` determines when top move is chosen without randomness, and `lower_bound` determines the lower bound policy value that is allowed.",
            "_help_left": "Plays move with probability=policy^(1/weaken_fac),i.e. `weaken_fac` influences how much more likely weaker moves are picked.",
            "pick_override": 1.0,
            "lower_bound": 0.001,
            "weaken_fac": 1.25
        },
        "P:Pick": {
            "pick_override": 0.95,
            "pick_n": 5,
            "pick_frac": 0.33,
            "_help_left": "Picks `pick_n + pick_frac * <number of legal moves>` at random and plays the best one. Change `pick_frac` to make it see more moves.",
            "_help_right": "Plays top move if policy value is above `pick_override` to avoid obvious mistakes."
        },
        "P:Local": {
            "pick_override": 0.95,
            "stddev": 1.5,
            "pick_n": 15,
            "pick_frac": 0.0,
            "_help_left": "Samples `pick_n + pick_frac * <number of legal moves>` near the last move and plays the best one.",
            "_help_right": "Lower `stddev` makes it prefer closer moves."
        },
        "P:Tenuki": {
            "pick_override": 0.85,
            "stddev": 7.5,
            "pick_n": 5,
            "pick_frac": 0.5,
            "endgame": 0.45,
            "_help_left": "Samples `pick_n + pick_frac * <number of legal moves>` away from the last move and plays the best one.",
            "_help_right": "Increase `stddev` makes it prefer moves further away. Stops tenukiing after the 'endgame' fraction of the board is filled."
        },
        "P:Influence": {
            "pick_override": 0.95,
            "pick_n": 5,
            "pick_frac": 0.4,
            "threshold": 3.5,
            "line_weight": 10,
            "endgame": 0.4,
            "_help_left": "Samples `pick_n + pick_frac * <number of legal moves>` and plays the best one, biased to above the `threshold` line.",
            "_help_right": "Increase `line_weight` to penalize moves near the edge more. Stops strategy after the 'endgame' fraction of the board is filled."
        },
        "P:Territory": {
            "pick_override": 0.95,
            "pick_n": 5,
            "pick_frac": 0.4,
            "threshold": 3.5,
            "line_weight": 2,
            "endgame": 0.4,
            "_help_left": "Samples `pick_n + pick_frac * <number of legal moves>` and plays the best one, biased to below the `threshold` line.",
            "_help_right": "Increase `line_weight` to penalize moves closer to the center more.  Stops strategy after the 'endgame' fraction of the board is filled."
        }
    },
    "board_ui": {
        "engine_down_col": [
            0.8,
            0,
            0,
            1
        ],
        "engine_busy_col": [
            0.9,
            0.4,
            0.1,
            1
        ],
        "engine_little_busy_col": [
            0.85,
            0.89,
            0.3,
            1
        ],
        "engine_almost_done_col": [
            0.67,
            0.9,
            0.18,
            1
        ],
        "engine_ready_col": [
            0.117,
            0.588,
            0,
            1
        ],
        "starpoint_size": 0.1,
        "stone_size": 0.475,
        "eval_dot_max_size": 0.5,
        "eval_dot_min_size": 0.25,
        "visit_frac_small": 0.1,
        "stones": {
            "B": [
                0.05,
                0.05,
                0.05
            ],
            "W": [
                0.95,
                0.95,
                0.95
            ]
        },
        "outline": {
            "B": [
                0.3,
                0.3,
                0.3,
                0.5
            ],
            "W": [
                0.7,
                0.7,
                0.7,
                0.5
            ]
        },
        "ghost_alpha": 0.5,
        "top_move_x_alpha": 0.3,
        "child_scale": 0.95,
        "eval_colors": [
            [
                0.447,
                0.129,
                0.42,
                1
            ],
            [
                0.8,
                0,
                0,
                1
            ],
            [
                0.9,
                0.4,
                0.1,
                1
            ],
            [
                0.85,
                0.89,
                0.3,
                1
            ],
            [
                0.67,
                0.9,
                0.18,
                1.0
            ],
            [
                0.117,
                0.588,
                0,
                1.0
            ]
        ],
        "line_color": [
            0,
            0,
            0
        ],
        "policy_color": [
            0.9,
            0.2,
            0.8
        ]
    },
    "debug": {
        "level": 1
    }
}