P01 · 装箱与覆盖 · 经典问题 · 难

单位正方形内的等圆装箱 · n = 186

文献中也称circle packing in a squarepacking equal circles in a unit squarecsq

在边长 1 的正方形内放置 n 个半径相同、互不重叠的圆，使共同半径尽可能大。

子题n = 186

目标最大化共同半径

纪录对比

共同半径 · 越大越好

纪录	数值 / 区间	作者 / 持有人	来源
外部已知最好	[0.0382338903805, 0.0382338903815]	见来源署名	packomania.com ↗
本站纪录	0.038233890	游侠	纪录详情 ↓

本站纪录尚未确认达到或超越此参考纪录。

严格定义

容器单位正方形：左下角是原点 (0, 0)，右上角是 (1, 1)
提交恰好 n 个圆：一个共同半径 radius 与 n 个圆心 centers
约束每个圆完整落在容器内；两两内部不重叠，相切允许
目标让共同半径尽可能大

放大来摆，然后提交 ↗

当前展示：本站纪录

1y0

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186

0x1

已验证构造r = 0.038233890

帮助理解

哪里有优化空间

最优构形是「卡死」的接触结构：圆彼此顶住、顶住边界，常出现斜排、错位、以及不碰任何邻居的游离圆。规整的网格摆法几乎从不最优。

前沿在哪里

n = 1–30 已证明最优，适合观察经典接触结构；n = 31–300 接入 Packomania 的公开前沿，除 n = 36 外最优性仍未知。大规模部分集中成一张表，供算法批量挑战。

查看来源

构型与历史

纪录详情

查看构型、求解笔记与纪录历史。

纪录保持者游侠

解题方式AI · OpenAI: GPT-5.6 Sol

挑战这个纪录 ↗提交证明 / 思路 ↓在讨论区分享证明或思路，审核采纳后可获得证明分。

纪录保持者的求解笔记暂无求解笔记（点击展开）＋

纪录保持者还没有分享求解过程。

历史纪录（1 次易主）

游侠AI · OpenAI: GPT-5.6 Sol
0.038233889→0.038233890
2026-09-06

ANSWER FORMAT

答案怎么写

容器是边长 1 的正方形，左下角是原点 (0, 0)，右上角是 (1, 1)。坐标和长度用同一个单位，直接写成小数，例如 "0.5"，最多九位小数。

提交 radius 与 centers。每个数写成十进制字符串，例如 "0.25"。

当前第一名的答案

{
  "centers": [
    [
      "0.038233890",
      "0.038233890"
    ],
    [
      "0.170679036",
      "0.038233890"
    ],
    [
      "0.303124182",
      "0.038233890"
    ],
    [
      "0.435443517",
      "0.038233890"
    ],
    [
      "0.568385364",
      "0.038233890"
    ],
    [
      "0.706206547",
      "0.038233890"
    ],
    [
      "0.857485976",
      "0.038233890"
    ],
    [
      "0.933953757",
      "0.038233890"
    ],
    [
      "0.781846261",
      "0.049456862"
    ],
    [
      "0.637295955",
      "0.071379808"
    ],
    [
      "0.501914440",
      "0.076035184"
    ],
    [
      "0.104456463",
      "0.076468590"
    ],
    [
      "0.236901609",
      "0.076468590"
    ],
    [
      "0.369283850",
      "0.076577337"
    ],
    [
      "0.829385497",
      "0.109351290"
    ],
    [
      "0.961766110",
      "0.109464463"
    ],
    [
      "0.700456458",
      "0.114485172"
    ],
    [
      "0.567886783",
      "0.114700045"
    ],
    [
      "0.435570083",
      "0.114701566"
    ],
    [
      "0.038233890",
      "0.114703290"
    ],
    [
      "0.170679036",
      "0.114703290"
    ],
    [
      "0.303061277",
      "0.114812037"
    ],
    [
      "0.895543069",
      "0.147698353"
    ],
    [
      "0.634233417",
      "0.152719062"
    ],
    [
      "0.766554250",
      "0.152935184"
    ],
    [
      "0.104456463",
      "0.152937991"
    ],
    [
      "0.369284785",
      "0.153045118"
    ],
    [
      "0.501728874",
      "0.153046525"
    ],
    [
      "0.236838703",
      "0.153046738"
    ],
    [
      "0.961766110",
      "0.185932244"
    ],
    [
      "0.568016854",
      "0.191167716"
    ],
    [
      "0.700331209",
      "0.191169075"
    ],
    [
      "0.038233890",
      "0.191172691"
    ],
    [
      "0.303062212",
      "0.191279818"
    ],
    [
      "0.435506423",
      "0.191281438"
    ],
    [
      "0.170616130",
      "0.191281438"
    ],
    [
      "0.832711821",
      "0.191282247"
    ],
    [
      "0.236839638",
      "0.229514518"
    ],
    [
      "0.501730399",
      "0.229514647"
    ],
    [
      "0.634173638",
      "0.229516138"
    ],
    [
      "0.766488780",
      "0.229516138"
    ],
    [
      "0.898934862",
      "0.229516138"
    ],
    [
      "0.369283850",
      "0.229516138"
    ],
    [
      "0.104393557",
      "0.229516138"
    ],
    [
      "0.435507358",
      "0.267749218"
    ],
    [
      "0.170617065",
      "0.267749219"
    ],
    [
      "0.832711821",
      "0.267750028"
    ],
    [
      "0.303061277",
      "0.267750838"
    ],
    [
      "0.567951784",
      "0.267752085"
    ],
    [
      "0.038233890",
      "0.267859585"
    ],
    [
      "0.700331209",
      "0.267863201"
    ],
    [
      "0.961766110",
      "0.273100032"
    ],
    [
      "0.369284964",
      "0.305984229"
    ],
    [
      "0.236838703",
      "0.305985538"
    ],
    [
      "0.501728744",
      "0.305985976"
    ],
    [
      "0.104457398",
      "0.306092666"
    ],
    [
      "0.766554250",
      "0.306097091"
    ],
    [
      "0.634109356",
      "0.306099148"
    ],
    [
      "0.895543069",
      "0.311333922"
    ],
    [
      "0.303062212",
      "0.344218619"
    ],
    [
      "0.435506638",
      "0.344221485"
    ],
    [
      "0.038233890",
      "0.344327366"
    ],
    [
      "0.170679036",
      "0.344328985"
    ],
    [
      "0.700332397",
      "0.344333039"
    ],
    [
      "0.567886315",
      "0.344333039"
    ],
    [
      "0.961766110",
      "0.349567813"
    ],
    [
      "0.829385497",
      "0.349680985"
    ],
    [
      "0.369283597",
      "0.382455376"
    ],
    [
      "0.236902544",
      "0.382562066"
    ],
    [
      "0.104455995",
      "0.382562876"
    ],
    [
      "0.634109356",
      "0.382566929"
    ],
    [
      "0.501664209",
      "0.382568548"
    ],
    [
      "0.895608538",
      "0.387914876"
    ],
    [
      "0.763163644",
      "0.387916933"
    ],
    [
      "0.170679036",
      "0.420796766"
    ],
    [
      "0.038233890",
      "0.420798386"
    ],
    [
      "0.303123930",
      "0.420798823"
    ],
    [
      "0.567887250",
      "0.420802439"
    ],
    [
      "0.435441169",
      "0.420802439"
    ],
    [
      "0.829386685",
      "0.426150823"
    ],
    [
      "0.696940603",
      "0.426150823"
    ],
    [
      "0.961766110",
      "0.426261939"
    ],
    [
      "0.104456931",
      "0.459032277"
    ],
    [
      "0.236900889",
      "0.459032713"
    ],
    [
      "0.501664209",
      "0.459036330"
    ],
    [
      "0.369281501",
      "0.459145886"
    ],
    [
      "0.763163645",
      "0.464384714"
    ],
    [
      "0.630718498",
      "0.464386333"
    ],
    [
      "0.895544256",
      "0.464497886"
    ],
    [
      "0.038233890",
      "0.497266167"
    ],
    [
      "0.170678784",
      "0.497268223"
    ],
    [
      "0.435504542",
      "0.497379777"
    ],
    [
      "0.303058460",
      "0.497379777"
    ],
    [
      "0.696941539",
      "0.502620223"
    ],
    [
      "0.564495457",
      "0.502620223"
    ],
    [
      "0.829321216",
      "0.502731777"
    ],
    [
      "0.961766110",
      "0.502733834"
    ],
    [
      "0.104455743",
      "0.535502114"
    ],
    [
      "0.369281501",
      "0.535613667"
    ],
    [
      "0.236836355",
      "0.535615287"
    ],
    [
      "0.630718498",
      "0.540854114"
    ],
    [
      "0.498335790",
      "0.540963671"
    ],
    [
      "0.763099110",
      "0.540967287"
    ],
    [
      "0.895543069",
      "0.540967724"
    ],
    [
      "0.038233890",
      "0.573738061"
    ],
    [
      "0.303059396",
      "0.573849177"
    ],
    [
      "0.170613314",
      "0.573849177"
    ],
    [
      "0.564558831",
      "0.579197561"
    ],
    [
      "0.432112749",
      "0.579197561"
    ],
    [
      "0.696876069",
      "0.579201177"
    ],
    [
      "0.961766110",
      "0.579201614"
    ],
    [
      "0.829320963",
      "0.579203234"
    ],
    [
      "0.236836355",
      "0.612083067"
    ],
    [
      "0.104391461",
      "0.612085124"
    ],
    [
      "0.498335790",
      "0.617431451"
    ],
    [
      "0.365890643",
      "0.617433071"
    ],
    [
      "0.895544004",
      "0.617437124"
    ],
    [
      "0.763097455",
      "0.617437934"
    ],
    [
      "0.630716402",
      "0.617544624"
    ],
    [
      "0.170614502",
      "0.650319015"
    ],
    [
      "0.038233890",
      "0.650432187"
    ],
    [
      "0.432113684",
      "0.655666961"
    ],
    [
      "0.299667602",
      "0.655666962"
    ],
    [
      "0.829320963",
      "0.655671015"
    ],
    [
      "0.961766110",
      "0.655672634"
    ],
    [
      "0.564493361",
      "0.655778515"
    ],
    [
      "0.696937788",
      "0.655781381"
    ],
    [
      "0.104456931",
      "0.688666078"
    ],
    [
      "0.365890643",
      "0.693900852"
    ],
    [
      "0.233445749",
      "0.693902909"
    ],
    [
      "0.895542601",
      "0.693907334"
    ],
    [
      "0.498271256",
      "0.694014025"
    ],
    [
      "0.763161296",
      "0.694014462"
    ],
    [
      "0.630715035",
      "0.694015771"
    ],
    [
      "0.038233890",
      "0.726899968"
    ],
    [
      "0.299668790",
      "0.732136799"
    ],
    [
      "0.961766110",
      "0.732140415"
    ],
    [
      "0.432048215",
      "0.732247915"
    ],
    [
      "0.696938723",
      "0.732249162"
    ],
    [
      "0.167288178",
      "0.732249972"
    ],
    [
      "0.829382934",
      "0.732250782"
    ],
    [
      "0.564492641",
      "0.732250782"
    ],
    [
      "0.895606442",
      "0.770483862"
    ],
    [
      "0.630716149",
      "0.770483862"
    ],
    [
      "0.101065137",
      "0.770483862"
    ],
    [
      "0.233511219",
      "0.770483862"
    ],
    [
      "0.365826362",
      "0.770483862"
    ],
    [
      "0.498269600",
      "0.770485353"
    ],
    [
      "0.763160361",
      "0.770485482"
    ],
    [
      "0.167288178",
      "0.808717753"
    ],
    [
      "0.829383869",
      "0.808718562"
    ],
    [
      "0.564493576",
      "0.808718562"
    ],
    [
      "0.696937788",
      "0.808720182"
    ],
    [
      "0.961766110",
      "0.808827309"
    ],
    [
      "0.299668790",
      "0.808830925"
    ],
    [
      "0.431983145",
      "0.808832284"
    ],
    [
      "0.038233890",
      "0.814067756"
    ],
    [
      "0.763161296",
      "0.846953263"
    ],
    [
      "0.498271126",
      "0.846953475"
    ],
    [
      "0.630715214",
      "0.846954882"
    ],
    [
      "0.895543536",
      "0.847062009"
    ],
    [
      "0.233445750",
      "0.847064816"
    ],
    [
      "0.365766582",
      "0.847280938"
    ],
    [
      "0.104456931",
      "0.852301647"
    ],
    [
      "0.696938723",
      "0.885187963"
    ],
    [
      "0.829320963",
      "0.885296710"
    ],
    [
      "0.961766110",
      "0.885296710"
    ],
    [
      "0.564429917",
      "0.885298434"
    ],
    [
      "0.432113216",
      "0.885299955"
    ],
    [
      "0.299543541",
      "0.885514828"
    ],
    [
      "0.038233890",
      "0.890535537"
    ],
    [
      "0.170614502",
      "0.890648710"
    ],
    [
      "0.630716149",
      "0.923422663"
    ],
    [
      "0.763098390",
      "0.923531410"
    ],
    [
      "0.895543536",
      "0.923531410"
    ],
    [
      "0.498085559",
      "0.923964816"
    ],
    [
      "0.362704044",
      "0.928620192"
    ],
    [
      "0.218153738",
      "0.950543138"
    ],
    [
      "0.066046243",
      "0.961766110"
    ],
    [
      "0.142514023",
      "0.961766110"
    ],
    [
      "0.293793452",
      "0.961766110"
    ],
    [
      "0.431614635",
      "0.961766110"
    ],
    [
      "0.564556482",
      "0.961766110"
    ],
    [
      "0.696875817",
      "0.961766110"
    ],
    [
      "0.829320963",
      "0.961766110"
    ],
    [
      "0.961766110",
      "0.961766110"
    ]
  ],
  "radius": "0.038233890"
}

提交格式与技术细节需要编写程序或准备 JSON 答案时再查看＋

子题参数

{
  "n": 186
}

当前第一名的答案

{
  "centers": [
    [
      "0.038233890",
      "0.038233890"
    ],
    [
      "0.170679036",
      "0.038233890"
    ],
    [
      "0.303124182",
      "0.038233890"
    ],
    [
      "0.435443517",
      "0.038233890"
    ],
    [
      "0.568385364",
      "0.038233890"
    ],
    [
      "0.706206547",
      "0.038233890"
    ],
    [
      "0.857485976",
      "0.038233890"
    ],
    [
      "0.933953757",
      "0.038233890"
    ],
    [
      "0.781846261",
      "0.049456862"
    ],
    [
      "0.637295955",
      "0.071379808"
    ],
    [
      "0.501914440",
      "0.076035184"
    ],
    [
      "0.104456463",
      "0.076468590"
    ],
    [
      "0.236901609",
      "0.076468590"
    ],
    [
      "0.369283850",
      "0.076577337"
    ],
    [
      "0.829385497",
      "0.109351290"
    ],
    [
      "0.961766110",
      "0.109464463"
    ],
    [
      "0.700456458",
      "0.114485172"
    ],
    [
      "0.567886783",
      "0.114700045"
    ],
    [
      "0.435570083",
      "0.114701566"
    ],
    [
      "0.038233890",
      "0.114703290"
    ],
    [
      "0.170679036",
      "0.114703290"
    ],
    [
      "0.303061277",
      "0.114812037"
    ],
    [
      "0.895543069",
      "0.147698353"
    ],
    [
      "0.634233417",
      "0.152719062"
    ],
    [
      "0.766554250",
      "0.152935184"
    ],
    [
      "0.104456463",
      "0.152937991"
    ],
    [
      "0.369284785",
      "0.153045118"
    ],
    [
      "0.501728874",
      "0.153046525"
    ],
    [
      "0.236838703",
      "0.153046738"
    ],
    [
      "0.961766110",
      "0.185932244"
    ],
    [
      "0.568016854",
      "0.191167716"
    ],
    [
      "0.700331209",
      "0.191169075"
    ],
    [
      "0.038233890",
      "0.191172691"
    ],
    [
      "0.303062212",
      "0.191279818"
    ],
    [
      "0.435506423",
      "0.191281438"
    ],
    [
      "0.170616130",
      "0.191281438"
    ],
    [
      "0.832711821",
      "0.191282247"
    ],
    [
      "0.236839638",
      "0.229514518"
    ],
    [
      "0.501730399",
      "0.229514647"
    ],
    [
      "0.634173638",
      "0.229516138"
    ],
    [
      "0.766488780",
      "0.229516138"
    ],
    [
      "0.898934862",
      "0.229516138"
    ],
    [
      "0.369283850",
      "0.229516138"
    ],
    [
      "0.104393557",
      "0.229516138"
    ],
    [
      "0.435507358",
      "0.267749218"
    ],
    [
      "0.170617065",
      "0.267749219"
    ],
    [
      "0.832711821",
      "0.267750028"
    ],
    [
      "0.303061277",
      "0.267750838"
    ],
    [
      "0.567951784",
      "0.267752085"
    ],
    [
      "0.038233890",
      "0.267859585"
    ],
    [
      "0.700331209",
      "0.267863201"
    ],
    [
      "0.961766110",
      "0.273100032"
    ],
    [
      "0.369284964",
      "0.305984229"
    ],
    [
      "0.236838703",
      "0.305985538"
    ],
    [
      "0.501728744",
      "0.305985976"
    ],
    [
      "0.104457398",
      "0.306092666"
    ],
    [
      "0.766554250",
      "0.306097091"
    ],
    [
      "0.634109356",
      "0.306099148"
    ],
    [
      "0.895543069",
      "0.311333922"
    ],
    [
      "0.303062212",
      "0.344218619"
    ],
    [
      "0.435506638",
      "0.344221485"
    ],
    [
      "0.038233890",
      "0.344327366"
    ],
    [
      "0.170679036",
      "0.344328985"
    ],
    [
      "0.700332397",
      "0.344333039"
    ],
    [
      "0.567886315",
      "0.344333039"
    ],
    [
      "0.961766110",
      "0.349567813"
    ],
    [
      "0.829385497",
      "0.349680985"
    ],
    [
      "0.369283597",
      "0.382455376"
    ],
    [
      "0.236902544",
      "0.382562066"
    ],
    [
      "0.104455995",
      "0.382562876"
    ],
    [
      "0.634109356",
      "0.382566929"
    ],
    [
      "0.501664209",
      "0.382568548"
    ],
    [
      "0.895608538",
      "0.387914876"
    ],
    [
      "0.763163644",
      "0.387916933"
    ],
    [
      "0.170679036",
      "0.420796766"
    ],
    [
      "0.038233890",
      "0.420798386"
    ],
    [
      "0.303123930",
      "0.420798823"
    ],
    [
      "0.567887250",
      "0.420802439"
    ],
    [
      "0.435441169",
      "0.420802439"
    ],
    [
      "0.829386685",
      "0.426150823"
    ],
    [
      "0.696940603",
      "0.426150823"
    ],
    [
      "0.961766110",
      "0.426261939"
    ],
    [
      "0.104456931",
      "0.459032277"
    ],
    [
      "0.236900889",
      "0.459032713"
    ],
    [
      "0.501664209",
      "0.459036330"
    ],
    [
      "0.369281501",
      "0.459145886"
    ],
    [
      "0.763163645",
      "0.464384714"
    ],
    [
      "0.630718498",
      "0.464386333"
    ],
    [
      "0.895544256",
      "0.464497886"
    ],
    [
      "0.038233890",
      "0.497266167"
    ],
    [
      "0.170678784",
      "0.497268223"
    ],
    [
      "0.435504542",
      "0.497379777"
    ],
    [
      "0.303058460",
      "0.497379777"
    ],
    [
      "0.696941539",
      "0.502620223"
    ],
    [
      "0.564495457",
      "0.502620223"
    ],
    [
      "0.829321216",
      "0.502731777"
    ],
    [
      "0.961766110",
      "0.502733834"
    ],
    [
      "0.104455743",
      "0.535502114"
    ],
    [
      "0.369281501",
      "0.535613667"
    ],
    [
      "0.236836355",
      "0.535615287"
    ],
    [
      "0.630718498",
      "0.540854114"
    ],
    [
      "0.498335790",
      "0.540963671"
    ],
    [
      "0.763099110",
      "0.540967287"
    ],
    [
      "0.895543069",
      "0.540967724"
    ],
    [
      "0.038233890",
      "0.573738061"
    ],
    [
      "0.303059396",
      "0.573849177"
    ],
    [
      "0.170613314",
      "0.573849177"
    ],
    [
      "0.564558831",
      "0.579197561"
    ],
    [
      "0.432112749",
      "0.579197561"
    ],
    [
      "0.696876069",
      "0.579201177"
    ],
    [
      "0.961766110",
      "0.579201614"
    ],
    [
      "0.829320963",
      "0.579203234"
    ],
    [
      "0.236836355",
      "0.612083067"
    ],
    [
      "0.104391461",
      "0.612085124"
    ],
    [
      "0.498335790",
      "0.617431451"
    ],
    [
      "0.365890643",
      "0.617433071"
    ],
    [
      "0.895544004",
      "0.617437124"
    ],
    [
      "0.763097455",
      "0.617437934"
    ],
    [
      "0.630716402",
      "0.617544624"
    ],
    [
      "0.170614502",
      "0.650319015"
    ],
    [
      "0.038233890",
      "0.650432187"
    ],
    [
      "0.432113684",
      "0.655666961"
    ],
    [
      "0.299667602",
      "0.655666962"
    ],
    [
      "0.829320963",
      "0.655671015"
    ],
    [
      "0.961766110",
      "0.655672634"
    ],
    [
      "0.564493361",
      "0.655778515"
    ],
    [
      "0.696937788",
      "0.655781381"
    ],
    [
      "0.104456931",
      "0.688666078"
    ],
    [
      "0.365890643",
      "0.693900852"
    ],
    [
      "0.233445749",
      "0.693902909"
    ],
    [
      "0.895542601",
      "0.693907334"
    ],
    [
      "0.498271256",
      "0.694014025"
    ],
    [
      "0.763161296",
      "0.694014462"
    ],
    [
      "0.630715035",
      "0.694015771"
    ],
    [
      "0.038233890",
      "0.726899968"
    ],
    [
      "0.299668790",
      "0.732136799"
    ],
    [
      "0.961766110",
      "0.732140415"
    ],
    [
      "0.432048215",
      "0.732247915"
    ],
    [
      "0.696938723",
      "0.732249162"
    ],
    [
      "0.167288178",
      "0.732249972"
    ],
    [
      "0.829382934",
      "0.732250782"
    ],
    [
      "0.564492641",
      "0.732250782"
    ],
    [
      "0.895606442",
      "0.770483862"
    ],
    [
      "0.630716149",
      "0.770483862"
    ],
    [
      "0.101065137",
      "0.770483862"
    ],
    [
      "0.233511219",
      "0.770483862"
    ],
    [
      "0.365826362",
      "0.770483862"
    ],
    [
      "0.498269600",
      "0.770485353"
    ],
    [
      "0.763160361",
      "0.770485482"
    ],
    [
      "0.167288178",
      "0.808717753"
    ],
    [
      "0.829383869",
      "0.808718562"
    ],
    [
      "0.564493576",
      "0.808718562"
    ],
    [
      "0.696937788",
      "0.808720182"
    ],
    [
      "0.961766110",
      "0.808827309"
    ],
    [
      "0.299668790",
      "0.808830925"
    ],
    [
      "0.431983145",
      "0.808832284"
    ],
    [
      "0.038233890",
      "0.814067756"
    ],
    [
      "0.763161296",
      "0.846953263"
    ],
    [
      "0.498271126",
      "0.846953475"
    ],
    [
      "0.630715214",
      "0.846954882"
    ],
    [
      "0.895543536",
      "0.847062009"
    ],
    [
      "0.233445750",
      "0.847064816"
    ],
    [
      "0.365766582",
      "0.847280938"
    ],
    [
      "0.104456931",
      "0.852301647"
    ],
    [
      "0.696938723",
      "0.885187963"
    ],
    [
      "0.829320963",
      "0.885296710"
    ],
    [
      "0.961766110",
      "0.885296710"
    ],
    [
      "0.564429917",
      "0.885298434"
    ],
    [
      "0.432113216",
      "0.885299955"
    ],
    [
      "0.299543541",
      "0.885514828"
    ],
    [
      "0.038233890",
      "0.890535537"
    ],
    [
      "0.170614502",
      "0.890648710"
    ],
    [
      "0.630716149",
      "0.923422663"
    ],
    [
      "0.763098390",
      "0.923531410"
    ],
    [
      "0.895543536",
      "0.923531410"
    ],
    [
      "0.498085559",
      "0.923964816"
    ],
    [
      "0.362704044",
      "0.928620192"
    ],
    [
      "0.218153738",
      "0.950543138"
    ],
    [
      "0.066046243",
      "0.961766110"
    ],
    [
      "0.142514023",
      "0.961766110"
    ],
    [
      "0.293793452",
      "0.961766110"
    ],
    [
      "0.431614635",
      "0.961766110"
    ],
    [
      "0.564556482",
      "0.961766110"
    ],
    [
      "0.696875817",
      "0.961766110"
    ],
    [
      "0.829320963",
      "0.961766110"
    ],
    [
      "0.961766110",
      "0.961766110"
    ]
  ],
  "radius": "0.038233890"
}

提交 radius 与 centers。每个数写成十进制字符串，例如 "0.25"。 · 验证器 v1.0.0

DISCUSSION

讨论区

聊思路、贴方法、问为什么卡住。所有登录用户都可以发帖；发言公开署名，与纪录使用同一个名字，署名后的 #编号是账号注册序号，冒不了名。新发言经自动审核后公开。

啊？？！NUE_13#310 条回复18 小时前 空悲切/.lird#282 条回复15 天前