// ========== 核心颜色判断函数（扩展黑色系排除逻辑） ==========
// 判断是否为目标灰色1（#C3CCDB 色系，误差20）
function isGray1(color) {
var r = (color >> 16) & 0xFF;
var g = (color >> 8) & 0xFF;
var b = color & 0xFF;
var baseR = 195, baseG = 204, baseB = 219;
var diffR = Math.abs(r - baseR);
var diffG = Math.abs(g - baseG);
var diffB = Math.abs(b - baseB);
return diffR < 20 && diffG < 20 && diffB < 20;
}

// 判断是否为目标灰色2（#DFE0E4 色系，误差20）
function isGray2(color) {
var r = (color >> 16) & 0xFF;
var g = (color >> 8) & 0xFF;
var b = color & 0xFF;
var baseR = 223, baseG = 224, baseB = 228;
var diffR = Math.abs(r - baseR);
var diffG = Math.abs(g - baseG);
var diffB = Math.abs(b - baseB);
return diffR < 20 && diffG < 20 && diffB < 20;
}

// 判断是否为 #CDCDCD 色系（误差20）
function isGray3(color) {
var r = (color >> 16) & 0xFF;
var g = (color >> 8) & 0xFF;
var b = color & 0xFF;
var baseR = 205, baseG = 205, baseB = 205;
var diffR = Math.abs(r - baseR);
var diffG = Math.abs(g - baseG);
var diffB = Math.abs(b - baseB);
return diffR < 20 && diffG < 20 && diffB < 20;
}

// 核心修改：扩展黑色系判断，包含#282A29/#292A2C/#7B7D7C及相近色
function isBlackSeries(color) {
var r = (color >> 16) & 0xFF;
var g = (color >> 8) & 0xFF;
var b = color & 0xFF;

// 定义需要排除的黑色系基准色（可继续新增）
var blackTargets = [
    {r: 40, g: 42, b: 41},   // #282A29
    {r: 41, g: 42, b: 44},   // #292A2C
    {r: 123, g: 125, b: 124} // #7B7D7C
];

// 遍历所有基准色，只要与任一基准色差值<30（放宽误差，覆盖相近色），就判定为黑色系
for (var i = 0; i < blackTargets.length; i++) {
    var target = blackTargets[i];
    var diffR = Math.abs(r - target.r);
    var diffG = Math.abs(g - target.g);
    var diffB = Math.abs(b - target.b);
    if (diffR < 100 && diffG < 100 && diffB < 100) {
        return true;
    }
}
return false;

}

// 判断是否为白色（#FDFDFD/#FFFFFF 色系，误差20）
function isWhite(color) {
var r = (color >> 16) & 0xFF;
var g = (color >> 8) & 0xFF;
var b = color & 0xFF;
var target1R = 253, target1G = 253, target1B = 253;
var target2R = 255, target2G = 255, target2B = 255;
var diff1R = Math.abs(r - target1R);
var diff1G = Math.abs(g - target1G);
var diff1B = Math.abs(b - target1B);
var diff2R = Math.abs(r - target2R);
var diff2G = Math.abs(g - target2G);
var diff2B = Math.abs(b - target2B);
return (diff1R < 20 && diff1G < 20 && diff1B < 20) ||
(diff2R < 20 && diff2G < 20 && diff2B < 20);
}

// 整合判断：是否为需要避开的颜色（替换为新的黑色系判断）
function isAvoidColor(color) {
return isGray1(color) || isGray2(color) || isGray3(color) || isBlackSeries(color) || isWhite(color);
}

// ========== 主执行函数（无修改，保留容错逻辑） ==========
function main() {
try {
// 1. 等待无障碍服务就绪
//auto.waitFor();
sleep(800);

    // 2. 申请截图权限
    if (!requestScreenCapture()) {
        toastLog('未授予 Hamibot 屏幕截图权限，请手动授权');
        return;
    }
    sleep(1000);

    // 3. 捕获屏幕（空值判断容错）
    var img = captureScreen();
    if (!img) {
        toastLog('截图失败，无法获取屏幕画面');
        return;
    }

    // 4. 基础参数计算
    var width = img.getWidth();
    var height = img.getHeight();
    var centerX = Math.round(width / 2);
    var centerY = Math.round(height / 2);
    var sampleStep = 20;
    var points = [];

    // 5. 采样点收集
    for (var y = 0; y < height; y += sampleStep) {
        for (var x = 0; x < width; x += sampleStep) {
            var distance = Math.sqrt(Math.pow(x - centerX, 2) + Math.pow(y - centerY, 2));
            points.push({x: x, y: y, distance: distance});
        }
    }

    // 6. 按距离排序
    points.sort(function(a, b) {
        return a.distance - b.distance;
    });

    var foundPoint = null;
    // 7. 遍历找有效点（坐标范围容错）
    for (var i = 0; i < points.length; i++) {
        var point = points[i];
        if (point.x < 0 || point.x >= width || point.y < 0 || point.y >= height) {
            continue;
        }
        var color = images.pixel(img, point.x, point.y);
        if (!isAvoidColor(color)) { // 自动排除所有黑色系+灰色+白色
            foundPoint = point;
            break;
        }
    }

    // 8. 执行点击
    if (foundPoint) {
        toastLog('找到目标区域，点击位置: ' + foundPoint.x + ', ' + foundPoint.y);
        Click(foundPoint.x, foundPoint.y)
        sleep(500);
    } else {
        toastLog('没有找到非灰色/非白色/非黑色系区域');
    }

    // 9. 释放图片资源
    img.recycle();
    //img = null;

} catch (e) {
    toastLog('脚本执行异常：' + e.message + '，行号：' + (e.lineNumber || '未知'));
    if (img && img.recycle) img.recycle();
} finally {
    sleep(300);
    hamibot.exit();
}

}

// 执行主函数
main();

这个为什么运行第二次hamibot就会奔溃