echarts-棱柱图,带背景图表,custom

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var dataList = [

        {

            name: '第一季度',

            value: 73,

            max: 100,

            leftColors: [

                {

                    offset: 0,

                    color: 'rgba(88, 118, 230, 1)'

                },

                {

                    offset: 1,

                    color: 'rgba(73, 109, 244, 1)'

                }

            ],

            rightColors: [

                {

                    offset: 0,

                    color: 'rgba(15, 46, 163, 1)'

                },

                {

                    offset: 1,

                    color: 'rgba(49, 86, 220, 1)'

                }

            ],

            topColors: 'rgba(65, 103, 244, 1)',

            barColor: 'rgba(73, 109, 244, 0.4)'

        },

        {

            name: '第二季度', value: 18, max: 100,

            leftColors: [

                {

                    offset: 0,

                    color: 'rgba(238, 206, 110, 1)'

                },

                {

                    offset: 1,

                    color: 'rgba(213, 173, 49, 1)'

                }

            ],

            rightColors: [

                {

                    offset: 0,

                    color: 'rgba(157, 120, 11, 1)'

                },

                {

                    offset: 1,

                    color: 'rgba(189, 148, 23, 1)'

                }

            ],

            topColors: 'rgba(243, 196, 55, 1)',

            barColor: 'rgba(213, 173, 49, 0.4)'

        },

        {

            name: '第三季度', value: 43, max: 100,

            leftColors: [

                {

                    offset: 0,

                    color: 'rgba(23, 204, 117, 1)'

                },

                {

                    offset: 1,

                    color: 'rgba(8, 139, 76, 1)'

                }

            ],

            rightColors: [

                {

                    offset: 0,

                    color: 'rgba(3, 112, 59, 1)'

                },

                {

                    offset: 1,

                    color: 'rgba(5, 112, 60, 1)'

                }

            ],

            topColors: 'rgba(66, 244, 157, 1)',

            barColor: 'rgba(8, 139, 76, 0.4)'

        },

        {

            name: '第四季度', value: 28, max: 100,

            leftColors: [

                {

                    offset: 0,

                    color: 'rgba(38, 166, 218, 1)'

                },

                {

                    offset: 1,

                    color: 'rgba(28, 129, 175, 1)'

                }

            ],

            rightColors: [

                {

                    offset: 0,

                    color: 'rgba(5, 94, 153, 1)'

                },

                {

                    offset: 1,

                    color: 'rgba(16, 84, 113, 1)'

                }

            ],

            topColors: 'rgba(0, 231, 239, 1)',

            barColor: 'rgba(28, 129, 175, 0.4)'

        },

    ];

    var valueList = dataList.map(item => item.value);

    var maxList = dataList.map(item => item.max);

const CubeBack = echarts.graphic.extendShape({

        shape: {

            x: 0,

            y: 0

        },

        buildPath: function (ctx, shape) {

            const xAxisPoint = shape.xAxisPoint;

            const c0 = [shape.x + 20, shape.y - 5]; //右上

            const c1 = [shape.x - 20, shape.y - 5]; //左上

            const c4 = [shape.x, shape.y - 15]; //上中点

            const c2 = [xAxisPoint[0] - 20, xAxisPoint[1] - 5]; //左下

            const c5 = [xAxisPoint[0], xAxisPoint[1]]; //下中点

            const c3 = [xAxisPoint[0] + 20, xAxisPoint[1] - 5]; //右下

            ctx.moveTo(c0[0], c0[1])

                .lineTo(c4[0], c4[1])

                .lineTo(c1[0], c1[1])

                .lineTo(c2[0], c2[1])

                .lineTo(c5[0], c5[1])

                .lineTo(c3[0], c3[1])

                .closePath();

        }

    });

    const CubeLeft = echarts.graphic.extendShape({

        shape: {

            x: 0,

            y: 0

        },

        buildPath: function (ctx, shape) {

            const xAxisPoint = shape.xAxisPoint;

            const c0 = [shape.x, shape.y];

            const c1 = [shape.x - 20, shape.y - 7]; //左上角

            const c2 = [xAxisPoint[0] - 20, xAxisPoint[1] - 6]; //右上角

            const c3 = [xAxisPoint[0], xAxisPoint[1]];

            ctx.moveTo(c0[0], c0[1])

                .lineTo(c1[0], c1[1])

                .lineTo(c2[0], c2[1])

                .lineTo(c3[0], c3[1])

                .closePath();

        }

    });

    const CubeRight = echarts.graphic.extendShape({

        shape: {

            x: 0,

            y: 0

        },

        buildPath: function (ctx, shape) {

            const xAxisPoint = shape.xAxisPoint;

            const c1 = [shape.x, shape.y];

            const c2 = [xAxisPoint[0], xAxisPoint[1]];

            const c3 = [xAxisPoint[0] + 20, xAxisPoint[1] - 6]; //右下

            const c4 = [shape.x + 20, shape.y - 6];

            ctx.moveTo(c1[0], c1[1])

                .lineTo(c2[0], c2[1])

                .lineTo(c3[0], c3[1])

                .lineTo(c4[0], c4[1])

                .closePath();

        }

    });

    const CubeTop = echarts.graphic.extendShape({

        shape: {

            x: 0,

            y: 0

        },

        buildPath: function (ctx, shape) {

            const c1 = [shape.x, shape.y];

            const c2 = [shape.x + 20, shape.y - 7]; //右下  右

            const c3 = [shape.x, shape.y - 15]; //右上  上

            const c4 = [shape.x - 20, shape.y - 7];

            ctx.moveTo(c1[0], c1[1])

                .lineTo(c2[0], c2[1])

                .lineTo(c3[0], c3[1])

                .lineTo(c4[0], c4[1])

                .closePath();

        }

    });

    echarts.graphic.registerShape('CubeBack', CubeBack);

    echarts.graphic.registerShape('CubeLeft', CubeLeft);

    echarts.graphic.registerShape('CubeRight', CubeRight);

    echarts.graphic.registerShape('CubeTop', CubeTop);

    var imgUrl = [

        'image://data:image/png;base64,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',

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',

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Wb/vqaL1jnN4XR3XiMheFrnRbGnM90UX++/fzplHf7Yl0ZoON6nVXqZmB2p0m3rX3l25R3r+F5vbtj37FqwWFFZP6jPHt7xuWnlDwCQhVleh9l9o7f8TJ3m4C1y3OTOH7TMFCky5bTn30qvl9ZM+8tR1hUPR31+IRie6lcOf+xLIwAObtj3bAQWKwhYs2Hfs+7R9/Cr2zrohn1/uxbMKwAAlJ59LyO3g8mhrH9wLQTc6XxPCo79ttY+tovrjOM2OSVdDMsqUe8acbkTPBLdz63Nx6b7vaM7Pndiw75nAXZXgOWKDfv+Fkd3/OGk/jVpE7/1wA9WQvAKKQGGODkT5wSAdKTcnKWqmRW7rNilUXmrrkZ1dVP3/L6ZlGeZGeR679xy/Ceej9voOlad0dDwjIatju743AmGOAkJSMEr1h/4waTN/bsi6MO7vtuWxHoNAGQQJ4899tkzM6kAi5RUOVlMdDN6Vhd336pXrxExplPgluHNpFTLTJA5dyQrCvd25+O9dBmrDngYnEm5xx777Jm1e/8qBXkbSek1D+/67o3Xn/zCLbZuiaCbDv2oSQWt2ytTNnR2ps5ZRUdpFwHudP9xouwdHHcT18VMzhMBroqy99VS9Imd/+4iBL0JOFBB6/ZNh350y8Pfbo2gxXgruzJgoQeOPTJ5TjAdSOvOmWSRJMnjrDE2fZgPqHK5CTS9fsJNNGo9V0c/8IeH1738NwXhuW0qDLcA2FN9byxSbdv/w/vJ9VpJIJKe93otBQKVFfRM5Mzknw6TJRUr1WNmpVEZZ90zPVcMyiFVM3TucXS0/5Y0K5eCtk17/9t91ZfHHDRhrAKALNGnD2/+g5pvaHfKShLYm8k/ZNkDyKpZaIOcxDksdapWzPRcEdhjVfsdEMfXP50w3AsAwF5+U/V1BwC27P3BA1rLQAgVndj52bo8FNR1nWEi4UCjchlMUyZvD37Ava/z5XrUxXJ7koGhDdDcSixmdJ6gASfnzaiTNJGjO/7gxJbXfrgEWgZb9v7ggYM7P3tRAIBy/MqsQOKcrkdBAMAtfspSxFrC1QR3ulIpvVwNFStDD9UevZX1lVHYoaNk60zOT1VCMocKdZtQ4UyfAQAt3fcBgLNu17PNBLcVAOI2Me3lULfj9dPHiivEwhCM9pnayEaiD7GGcBa0vDHrJ3OOSR4Z6UyHwk/SzbZ+RrAjr3AxrNtGD0mh6YocTtYK4betfOF7vuN7bZ0aAOv0yvH1v1+/qcWnn1Pi/37+dR1hWnO2E9Fx8mT2znAhd19hf72qNt9J+kZWJ+XoMRLkUY2TdTJwLr7x4VzdHPT4+qeTTa/+4wCAruC+wlJHSbmIIAHK3qlXIVUo7xzUUfxpgGu6MVVH8Y7S5b4FbqF5DwXOlOd+LbfCWvuqv/R+lWabgcoegBq1rf0OAv8IqHfq2/xNAcHpNSa/y8vcNoeF8oglMpHWfXu+N578rzce+j+ff5W1fmqGfaWbUmOVKpYXikge9O9rOljvus514r7yCh1lH9JKFyRVtnUmVJx0xufFc/cGLf116VSPJy00DTslICO31RHCC0ASKtT12ytxfGGt9IIcQg8xgupU54yl1p0q1h8uXx5+RHjOK0F3/qiJOs8l4uHofaqU7ITS7wMAohqO/3gpMCQWFn5yYPt36r4cMhsopk6uHcTKoc0H/venAODQtn/5fL0LqrL8+S98UGTqj+puWNAQ+f7LQWv+SEPcndZAMiuN3J+G6QehdE19gNvh+M7/PPWJ7/zEhG0AqPqlA6YEJL3Ve/6u5dTj/8bItnvnP/Xdl1f89PPLSfOn62qYuRNR9LtRHD/JUlygIP1t0OReq2sZ9xAqDtuykWyzSkfeLzC67bmBCWMi58VTQeGF+luusHrP37UADsAqcSRxpgCv1XWMrh86+6m//IeVP/3iOoCnvzj2znSR4i6MpNvDcjpIIj7p5JyDTh5XZ308x7DMEm5X5eLDOtXLiXkZAAiqZJcmIOBo2lL4IZ7sNbaluPRamgBACB05TAgly3yZvDwAc+swidj78R99I/a8P4fkFfVJhCaV3ayz7rSUfTArxwMsnHOOwHnyvCtO3qvbOO9soVOV4zhZrpLsQa14HbNqr/5+NnM8xyQRnUwzfPvCk71G764VUG7lDqgsdQAxBIlO4kIbgLdMFnz86b8ugfH5Fc//6ZdI0lMmyxqlm1h1K4VHEYbIwjAUQpwDyXPCwxXy3CvCFQ259TUA6FTnOEkX60QvBmOx1tmDAN2c+BDj12cahrF36T9r/fPdZC5yVvH9pm5mgGTwjpO61Ocp50HHU0sBHDFdOAh8Fn/5X1b85E9DkvR7xsu7FVdr/TCgH9YhgDAFEUImuiIgLrNAv5CyH+BIBO6lu+G8OtU5nXEOmVqiFXew1h0E7mDNiwHuuPXTs7YC8adnyju+d4aevu32N/WEtOxkchCKobcJALa+/rOPAcKNkqH9x9//9F3rZDz40y9+Ukp8FkD33SpzujChj0ADlb9FH5EOiSuOKxxxx5SImXOsOM+EHDNygnSONXUwdI648jCvRoUJI0T87dMf/+6Ld6vMtfv/YVHOuW8b6yQ8uPXTv3IAQCXpJenll/tO0yoAd81Bz336Oy+s+tUXDnFC/wnA5ptJT5XZ1wm8AOAFAECsAWbw6N7PKtVTt8ej1rjyVKRKD3v2f9/tdGYc0Y77jXMf+eabuIsEonMVIMGUna3WCCtPf89vCdf/DhFLGfbvf+0uRtEqK3/2xX9OEM+AsODOn7aYgsHvQOu/PPPJ7/4/3Oq9xnn44M+WCcfdIKDishjad3z906WxpGbziRdXyUyuIqTJgY0f/eXdrFiV1b/88mKl9e8T+F9j2jfSW2qBCSUC/y8lnB+d+8g3h2ajDtuO/PKjDNdjqY8cXPfURWBC1r39yK4eAaeZs/DSa1s+WvNtHzNl5QtfXioc/rcM/K51U+OMMOF/pLLphxee7K3LwuOZsP3QLzYIkV+mkCQHNj41FiBvOf0bDz/f7qNlh3BdoZOh0/s3f+LU3a/qTVa+8OWlwuXPgej3mNne6VlPCEVm/GMSy79/81N/MavPQtp+6Gerhdf6kE5TXRwefPnU4/9ibEbzXfHpkcMvPkhufh0AeGn/3j2bPjWrlQeAVb/6D0tIJY+xpD8moqWzXZ97GdZ8ijX/XJH4+9lqysfz+OHn2xO3YycA6CQ6vX/z79wSFCdtQB85tuthEvmlWqQ6iHnfnk0fnHUnrbLiV195TDL/KxB9nAgFgxMnc0aCMcyafykFPXfyqW++MtNjX28eP/xye+TTDqFdodLhiwc2feRd4/C3zfAeObr7EfJyC4hZu3HaUE5aZdXur3yCNH0cAh8HozDrntBQkovM4ufQeE4npUNnPvn9hlro/fjhl9tT393BRIKT8O3XNvS8Ntnn3rMLsv3Yr7cIt3kJAHA0cPy1TR8+Z6Ky9eChX3/lCaHpowA+BKK1s12f2YF/y5oPMuMXp5/65kuzXZvb8cjhFx8UfvMaJldwUrytcwJTmDvbduLXGz2v9QEoAGro4r61HzI/HVoja3/17x/QbvAwmHcwYysR3g+gQSJb/SQDJwj4NTMf8yU/f+SDs9vZmQo7z+1Zrbn5ISggUUMXD9zBn6Y0iPPokRc3iXzX/QDAKrsudXR875rHG+aRzVNh9e6vPkmC1jP4CSIsB2PdzZmc8YehEXUUWeMtEF5n0CFBdDTJNR88t/3PZr2TM1V2ntzToqXYCpFvAQBdvvHmbzZ++PCdvjflUcYdp15ZQq63ntn3iFTCafnYvtWPXa6l0rPN2pe+upWFWMbM64h4BUDLmNFORGtBDAKBx4UsozpzEYxhEB+BRj+TeJ1IveWQPHR05zdu+yyAe4Ftx3++yA8WbmSWHpFK4ujakQPrPj6lpY/TGgbfeXJPi/Jb1pHwugFAI73qhMNv3GvRdCosO9jb5pezrUJDaFZtELKVwUsEETGwAsyiMtvF94/e6HNz5VvljjQm8BBrGgIxg0gTcFYzM4EugzULiDcZ2UDUHJy9sGX2BslN0bPrvwfx8g1rQZV+TKbCYS8pH5yOv0zLQas8evLVTaK59X4AIJ0lsSq+eWD5YzN+WJNl7rHt/CtrHKf5QUGu0BnrLB48d2D19H1kRg4KADuv72lJw/xqKZoXAgAJlWiK3nh10ZYLM7VpuffZduGlRb7XvZG1rNyTwlFRBMP/tLd7Zq3sjB20ygeuHlwmOFgltOcBAGfFER33vbFv9VP3dH5qmR7bLry0yJNtqyQ1VTpBIkni5PqRA8ueqOk2m5odtMqO8/vXkN96vxDCAwClk1QlyRu/Xbb5fL3KsDQe2y7sX+TJplXS9VoAgDnTnEZvvnL/5rrsWVA3BwWAR0+/UKDm5R3Ezmrpei4AaJ0kTlg+/ZJ11DlDz/ldgaaORcp1V5LX5AOAyDKdpaU3PdV/ZvfyJ+t2U11dHXQ8T1w4uTz1/FXSdV0AUGmYCqg+Ll9885WVH6v7PlAW8+w8uWdx1r64yyGxlMipbN2ZhimJ9LIXvl1Xx6xizEGrPHHt5HJFYiWJ/NgGYqzLsWR9Ji4O9v3moQ801Byx5VZ6zu8K0LRyaaaipXByzWNvRMWScOniSwvXGG0ZjTtolUdPv1rItXWvUsLtlOSN7UmZRkODUvBlEV69auIKtEyfnvO7giTftUTo4H3CD/ICrgAAjVRzml7SA1du7F3z+JW7UZe75qDjeeLayeWAs1zkW/PjX9fJUBmZcz4uXrOR9S7Tc35XgI6VS7MkWyq8IC9Gm3AAyOJSKStduxAguna3g8isOGiVR/teLfhyYScyLBdeYYKzDpddr+NSafh4+TdLP3Bptuo4V+k5vytIZWuH9HKd2g86HdnafMsH4qESPOcS+s9cms2WbVYddDxVZxWalki//V2P10vT/jIS+ZZILoe7rcPOiJ3X/2mx9LqbhMYSEkGTcPyx86+zEWadjegUl8XImbcaJd1qGAcdT8/5XQGCtoWyZXGBM7WQguZbNjbTKmOVlkPXyd9QxbeHE0rKryzcbEcGxtEzcLAtTlu68vmOvOK4g4TfJKRzy/lOo8HEdfxrqnhlGNHgXW++p0JDOuhEHu17tZBLWjtQ6OoSqe6Y6LAAoFXMSpdDl/I3UpWFKF2IRN4t7m7fMucWYYynZ+BgG6KgTec7XVc6uZvO6L/r3KbxiHalc6lc7i/7I2/NatM9Ve4JB51Iz/ldQVjo6PKdRTlBWECe3yQcf9KnVeg4ZuIo1ZLKMii8o4YvaV3qj+NYJzkKhxr9JPWcPx+E/HZrrr01B+E6srBU6OHBdpLUyk7gjm+mx5PGw1oIDOsEb6ukf8QtXe1v9N86Gfekg05GD58P9JVSNzoXBFLrDkVOk3RzOSHlHX9jGg9rsIgIOhUsEpHrHAAANXxJxwDcbDAGgMzTsZfpW5+E0tYW7ablk574Hj4fYHAwmPi61k6LEM0SwnFiAPnC0sowTtjXDgCK0ATSgesX7nirtVaKKSulrHlICdGfhH1p0BZcu12d7jXmjIPejh4+H+j+Urdw2nxZWCp02NcOnTWT40rhNLk8SVPYSJAqs8oyRhbGEE5JyCBU0UA5Ef3D3o3+4XsxKk6Hhj45d4MePh/Id95uTZ0mTzhtPgDI0YgmRyMaa1SGYBz3XY/TYcenyfI9oJIXUxa/e3+jLI0BgARKAKDGRWwA0NlgrEuDJUdn4Vx3wDvx/wFT4a4V6dlWHgAAAABJRU5ErkJggg==',

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',

    ];

option = {

   //你的代码

   backgroundColor: 'rgb(5, 33, 65)',

        grid: {

            bottom: '18%',

            top: '16%',

            right: '0%',

            left: '0%'

        },

        xAxis: {

            data: ['第一季度', '第二季度', '第三季度', '第四季度'],

            position: 'bottom',

            axisTick: {

                show: false

            },

            axisLine: {

                show: false

            },

            axisLabel: {

                show: true,

                textStyle: {

                    color: '#fff',

                    fontSize: 18,

                    fontweight: '500',

                    padding: [30, 0, 0, 0]

                },

                margin: 30 //刻度标签与轴线之间的距离。

            },

        },

        yAxis: {

            splitLine: {

                show: false

            },

            axisTick: {

                show: false

            },

            axisLine: {

                show: false

            },

            axisLabel: {

                show: false

            }

        },

        series: [

            {

                type: 'custom',

                tooltip: {

                    show: false

                },

                renderItem: (params, api) => {

                    const location = api.coord([api.value(0), api.value(1)]);

                    return {

                        type: 'group',

                        children: [

                            {

                                type: 'CubeLeft',

                                shape: {

                                    api,

                                    xValue: api.value(0),

                                    yValue: api.value(1),

                                    x: location[0],

                                    y: location[1],

                                    xAxisPoint: api.coord([api.value(0), 0])

                                },

                                style: {

                                    fill: new echarts.graphic.LinearGradient(0, 0, 0, 1, [

                                        {

                                            offset: 0,

                                            color: 'rgba(4, 51, 71, 1)'

                                        },

                                        {

                                            offset: 1,

                                            color: 'rgba(3, 82, 89, 0.6)'

                                        },

                                    ])

                                }

                            },

                            {

                                type: 'CubeRight',

                                shape: {

                                    api,

                                    xValue: api.value(0),

                                    yValue: api.value(1),

                                    x: location[0],

                                    y: location[1],

                                    xAxisPoint: api.coord([api.value(0), 0])

                                },

                                style: {

                                    fill: new echarts.graphic.LinearGradient(0, 0, 0, 1, [

                                        {

                                            offset: 0,

                                            color: 'rgba(4, 61, 66, 0.4)'

                                        },

                                        {

                                            offset: 1,

                                            color: 'rgba(1, 117, 127, 0.4)'

                                        },

                                    ])

                                }

                            },

                            {

                                type: 'CubeTop',

                                shape: {

                                    api,

                                    xValue: api.value(0),

                                    yValue: api.value(1),

                                    x: location[0],

                                    y: location[1],

                                    xAxisPoint: api.coord([api.value(0), 0])

                                },

                                style: {

                                    fill: 'rgba(24, 109, 117, 0.6)'

                                }

                            }

                        ]

                    };

                },

                data: maxList

            },

            {

                zlevel: 1,

                z: -1,

                color: '#3d98df',

                type: 'custom',

                name: '',

                renderItem: (params, api) => {

                    const location = api.coord([api.value(0), api.value(1)]);

                    return {

                        type: 'group',

                        children: [

                            {

                                type: 'CubeLeft',

                                shape: {

                                    api,

                                    xValue: api.value(0),

                                    yValue: api.value(1),

                                    x: location[0],

                                    y: location[1],

                                    xAxisPoint: api.coord([api.value(0), 0])

                                },

                                style: {

                                    fill: new echarts.graphic.LinearGradient(0, 0, 0, 1, dataList[params.dataIndexInside].leftColors)

                                }

                            },

                            {

                                type: 'CubeRight',

                                shape: {

                                    api,

                                    xValue: api.value(0),

                                    yValue: api.value(1),

                                    x: location[0],

                                    y: location[1],

                                    xAxisPoint: api.coord([api.value(0), 0])

                                },

                                style: {

                                    fill: new echarts.graphic.LinearGradient(0, 0, 0, 1, dataList[params.dataIndexInside].rightColors)

                                }

                            },

                            {

                                type: 'CubeTop',

                                shape: {

                                    api,

                                    xValue: api.value(0),

                                    yValue: api.value(1),

                                    x: location[0],

                                    y: location[1],

                                    xAxisPoint: api.coord([api.value(0), 0])

                                },

                                style: {

                                    fill: dataList[params.dataIndexInside].topColors

                                }

                            }

                        ]

                    };

                },

                data: valueList,

            },

            { // 放图片

                name: '',

                type: 'pictorialBar',

                z: 13,

                label: {

                    show: true,

                    position: [70, -60],

                    color: '#74D3FF',

                    formatter: function (params) {

                        return '{a|' + params.data.val + '} {b|%}'

                    },

                    rich: {

                        a: {

                            fontSize: 22,

                            verticalAlign: 'bottom',

                            fontWeight: 'bolder',

                        },

                        b: {

                            fontSize: 12,

                            verticalAlign: 'bottom',

                            fontWeight: 'bolder',

                        }

                    }

                },

                data: dataList.map((item, index) => {

                    return {

                        name: '',

                        value: item.max,

                        val: item.value,

                        symbol: imgUrl[index],

                        symbolPosition: 'start',

                        symbolOffset: [0, 40],

                        symbolSize: [168, 196],

                        color: 'red'

                    }

                }),

            },

        ]

};

 

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