# gdb-hub / gdb__template-2-s155

- taskset: [gdb-hub](https://harnessreport.com/tasks/gdb-hub.md)
- difficulty: hard
- category: design
- language: 
- runnable from the site: no
- agent timeout: 3600s

## Results by harness

_none yet_

## Instruction

```
# GDB: template-2

## Input Files

- `/workspace/inputs/input_0.png`
- `/workspace/inputs/input_1.png`
- `/workspace/inputs/input_2.png`
- `/workspace/inputs/input_3.png`
- `/workspace/inputs/input_4.png`
- `/workspace/inputs/input_5.png`
- `/workspace/inputs/input_6.png`
- `/workspace/inputs/input_7.png`
- `/workspace/inputs/input_8.png`
- `/workspace/inputs/input_9.png`
- `/workspace/inputs/input_10.png`
- `/workspace/inputs/input_11.png`
- `/workspace/inputs/input_12.png`
- `/workspace/inputs/input_13.png`
- `/workspace/inputs/input_14.png`
- `/workspace/inputs/input_15.png`
- `/workspace/inputs/input_16.png`
- `/workspace/inputs/input_17.png`
- `/workspace/inputs/input_18.png`
- `/workspace/inputs/input_19.png`
- `/workspace/inputs/input_20.png`

## Task

You are given a reference layout and a set of candidate layouts. Rank the candidates from most similar to least similar to the reference. Return the candidate IDs as a comma-separated list, most similar first.

Reference:
{
  "components": [
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/dcf40856-9db7-4448-80b7-e9e611d2a20b.png",
      "id": "0-0-0",
      "left": "419.332px",
      "top": "-423.816px",
      "width": "1081.3400000000001px",
      "height": "1920.0px",
      "transform": "rotate(-90deg) rotate(0deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/4a9ba430-410a-4aa3-96d8-3b71984a5838.png",
      "id": "0-1",
      "left": "-753.718px",
      "top": "361.193px",
      "width": "2949.25px",
      "height": "740.998px",
      "transform": "none",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/df14d9ac-e95c-4046-a135-341519984697.svg",
      "id": "0-2",
      "left": "-929.574px",
      "top": "928.945px",
      "width": "3016.15px",
      "height": "1205.8px",
      "transform": "rotate(3.65748deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "GROUP",
      "id": "0-3-0",
      "left": "960.0px",
      "top": "192.013px",
      "width": "852.00030705px",
      "height": "779.98848px",
      "transform": "none",
      "background": "rgb(252, 252, 252)",
      "backgroundColor": "rgb(252, 252, 252)",
      "clipPath": "path(\"M16.738733680479037,0L262.8965820254439,0C267.33597022779,0 271.59353263882196,1.7635400862746426 274.73265413754297,4.902661584995655C277.8717756196483,8.041783083716666 279.63531572253856,12.299345494748577 279.63531572253856,16.738733680479037L279.63531572253856,239.2612663169499C279.63531572253856,243.70065450268038 277.8717756196483,247.95821691371228 274.73265413754297,251.0973384124333C271.59353263882196,254.2364599111543 267.33597022779,255.99999999742897 262.8965820254439,255.99999999742897L16.738733680479037,255.99999999742897C12.299345494748577,255.99999999742897 8.041783083716666,254.2364599111543 4.902661584995655,251.0973384124333C1.7635400862746426,247.95821691371228 0,243.70065450268038 0,239.2612663169499L0,16.738733680479037C0,12.299345494748577 1.7635400862746426,8.041783083716666 4.902661584995655,4.902661584995655C8.041783083716666,1.7635400862746426 12.299345494748577,0 16.738733680479037,0Z\")"
    },
    {
      "type": "GROUP",
      "id": "0-4-0",
      "left": "1044.71px",
      "top": "108.0px",
      "width": "682.5712145460001px",
      "height": "180.480768px",
      "transform": "none",
      "background": "rgb(1, 1, 1)",
      "backgroundColor": "rgb(1, 1, 1)",
      "clipPath": "path(\"M72.3401341260273,0L895.8416358794103,0C915.0274323754586,0 933.4274285605443,7.621527937117069 946.9938353503364,21.187934726909248C960.5602421401286,34.75434151670142 968.1817700772457,53.15433770178717 968.1817700772457,72.3401341260273L968.1817700772457,183.6598658350816C968.1817700772457,202.84566233112997 960.5602421401286,221.2456585162157 946.9938353503364,234.81206523419965C933.4274285605443,248.37847202399183 915.0274323754586,256.0000000329171 895.8416358794103,256.0000000329171L72.3401341260273,256.0000000329171C53.15433770178717,256.0000000329171 34.75434151670142,248.37847202399183 21.187934726909248,234.81206523419965C7.621527937117069,221.2456585162157 0,202.84566233112997 0,183.6598658350816L0,72.3401341260273C0,53.15433770178717 7.621527937117069,34.75434151670142 21.187934726909248,21.187934726909248C34.75434151670142,7.621527937117069 53.15433770178717,0 72.3401341260273,0Z\")"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/322f1009-9399-4275-9ac6-1c67330e8cfc.png",
      "id": "0-5",
      "left": "37.9004px",
      "top": "-9.55343px",
      "width": "918.016px",
      "height": "916.347px",
      "transform": "rotate(8.85655deg) scale(-1, 1)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "TEXT",
      "text": "Inverts",
      "id": "0-6",
      "left": "1060.97px",
      "top": "128.24px",
      "width": "650.061px",
      "height": "120px",
      "transform": "none",
      "color": "rgb(252, 252, 252)",
      "fontSize": "100px",
      "fontFamily": "Playpen Sans--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "140.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "Invertebrates lack a backbone and comprise over 90% of Earth's animals.",
      "id": "0-7",
      "left": "1012.11px",
      "top": "369.896px",
      "width": "747.778px",
      "height": "492.023px",
      "transform": "none",
      "color": "rgb(1, 1, 1)",
      "fontSize": "60px",
      "fontFamily": "Playpen Sans--400",
      "fontWeight": "400",
      "textAlign": "left",
      "lineHeight": "84.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    }
  ],
  "background": "rgb(252, 252, 252)",
  "width": "1920px",
  "height": "1080px",
  "duration": 3
}

Candidates:
[ritZsgSbKBD0TmPuU78t]
{
  "components": [
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/2c3202c6-5bb5-400c-a126-b259fb2feec8.png",
      "left": "-48.9878px",
      "top": "-53.9943px",
      "width": "592.976px",
      "height": "555.173px",
      "transform": "none",
      "opacity": 0.25,
      "overflow": "hidden"
    },
    {
      "type": "TEXT",
      "text": "Exec Summary",
      "left": "100.0px",
      "top": "232.1px",
      "width": "540px",
      "height": "211.2px",
      "transform": "none",
      "color": "rgb(252, 252, 252)",
      "fontSize": "96px",
      "fontFamily": "Raleway--700",
      "fontWeight": "700",
      "textAlign": "left",
      "lineHeight": "96.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "This proposal outlines a comprehensive approach: detailed scope, methodology, timeline, and budget. Our experienced team, with robust communication and evaluation, ensures objectives are met and value delivered to stakeholders. We seek your approval to commence this transformative project and achieve our ambitious goals.",
      "left": "100.0px",
      "top": "577.19998px",
      "width": "729px",
      "height": "345.4px",
      "transform": "none",
      "color": "rgb(252, 252, 252)",
      "fontSize": "28px",
      "fontFamily": "Raleway--400",
      "fontWeight": "400",
      "textAlign": "left",
      "lineHeight": "39.0px",
      "letterSpacing": "0.02em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "Pretium Neque",
      "left": "100px",
      "top": "100px",
      "width": "392.5px",
      "height": "25px",
      "color": "rgb(252, 252, 252)",
      "fontSize": "21px",
      "fontFamily": "Raleway--700",
      "fontWeight": "700",
      "textAlign": "left",
      "lineHeight": "25.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "Digital Marketing Opt.",
      "left": "1480.63px",
      "top": "100px",
      "width": "339.367px",
      "height": "25px",
      "color": "rgb(252, 252, 252)",
      "fontSize": "21px",
      "fontFamily": "Raleway--500",
      "fontWeight": "500",
      "textAlign": "right",
      "lineHeight": "25.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "Pretium Neque aims to enhance digital marketing to boost online presence and revenue.",
      "left": "985px",
      "top": "235.5px",
      "width": "835px",
      "height": "204px",
      "color": "rgb(252, 252, 252)",
      "fontSize": "42px",
      "fontFamily": "Raleway--400",
      "fontWeight": "400",
      "textAlign": "left",
      "lineHeight": "51.0px",
      "letterSpacing": "0.02em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "30%",
      "left": "985px",
      "top": "723.822px",
      "width": "245px",
      "height": "115px",
      "color": "rgb(252, 252, 252)",
      "fontSize": "96px",
      "fontFamily": "Raleway--700",
      "fontWeight": "700",
      "textAlign": "left",
      "lineHeight": "115.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "WEB TRAFFIC",
      "left": "985.213333px",
      "top": "673.822px",
      "width": "215.735px",
      "height": "25px",
      "transform": "none",
      "color": "rgb(252, 252, 252)",
      "fontSize": "21px",
      "fontFamily": "Raleway--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "25.0px",
      "letterSpacing": "0.02em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "NEXT 6 MO.",
      "left": "993.508px",
      "top": "855px",
      "width": "245px",
      "height": "33px",
      "color": "rgb(252, 252, 252)",
      "fontSize": "27px",
      "fontFamily": "Raleway--400",
      "fontWeight": "400",
      "textAlign": "left",
      "lineHeight": "33.0px",
      "letterSpacing": "0.02em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "25%",
      "left": "1280px",
      "top": "723.822px",
      "width": "245px",
      "height": "115px",
      "color": "rgb(252, 252, 252)",
      "fontSize": "96px",
      "fontFamily": "Raleway--700",
      "fontWeight": "700",
      "textAlign": "left",
      "lineHeight": "115.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "SOCIAL ENGAGEMENT",
      "left": "1280.213333px",
      "top": "673.822px",
      "width": "245px",
      "height": "50px",
      "transform": "none",
      "color": "rgb(252, 252, 252)",
      "fontSize": "21px",
      "fontFamily": "Raleway--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "25.0px",
      "letterSpacing": "0.02em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "NEXT 6 MO.",
      "left": "1288.51px",
      "top": "855px",
      "width": "245px",
      "height": "33px",
      "color": "rgb(252, 252, 252)",
      "fontSize": "27px",
      "fontFamily": "Raleway--400",
      "fontWeight": "400",
      "textAlign": "left",
      "lineHeight": "33.0px",
      "letterSpacing": "0.02em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "20%",
      "left": "1575px",
      "top": "723.822px",
      "width": "245px",
      "height": "115px",
      "color": "rgb(252, 252, 252)",
      "fontSize": "96px",
      "fontFamily": "Raleway--700",
      "fontWeight": "700",
      "textAlign": "left",
      "lineHeight": "115.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "SALES REV.",
      "left": "1575.213333px",
      "top": "673.822px",
      "width": "131.008px",
      "height": "50px",
      "transform": "none",
      "color": "rgb(252, 252, 252)",
      "fontSize": "21px",
      "fontFamily": "Raleway--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "25.0px",
      "letterSpacing": "0.02em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "YEAR 1",
      "left": "1583.51px",
      "top": "855px",
      "width": "245px",
      "height": "33px",
      "color": "rgb(252, 252, 252)",
      "fontSize": "27px",
      "fontFamily": "Raleway--400",
      "fontWeight": "400",
      "textAlign": "left",
      "lineHeight": "33.0px",
      "letterSpacing": "0.02em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    }
  ],
  "background": "rgb(14, 101, 101)",
  "width": "1920px",
  "height": "1080px",
  "duration": 3
}

[ObPcdMwSrq3vIcGNAxix]
{
  "components": [
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/4d6ea0dc-f6b0-4234-a13e-e7ba1f650165.png",
      "id": "0-0-0",
      "left": "419.332px",
      "top": "-423.816px",
      "width": "1081.3400000000001px",
      "height": "1920.0px",
      "transform": "rotate(-90deg) rotate(0deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/1484fa25-661c-4757-9fc9-05c9ac7d3afe.png",
      "id": "0-1",
      "left": "-147.181px",
      "top": "218.842px",
      "width": "2966.38px",
      "height": "745.302px",
      "transform": "none",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/f8c20e96-4cc0-4667-9d7d-46cedcdc0c69.png",
      "id": "0-2",
      "left": "-638.388px",
      "top": "433.196px",
      "width": "2836.07px",
      "height": "712.562px",
      "transform": "none",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "GROUP",
      "id": "0-3-0",
      "left": "108.0px",
      "top": "445.899px",
      "width": "806.79769196px",
      "height": "526.10048px",
      "transform": "none",
      "background": "rgb(252, 252, 252)",
      "backgroundColor": "rgb(252, 252, 252)",
      "clipPath": "path(\"M24.816533942293045,0L367.7703099729188,0C374.3520639871234,0 380.6642465035359,2.614591596057737 385.318249411345,7.2685945038668525C389.9722523191541,11.922597411675968 392.5868439152119,18.234779928088443 392.5868439152119,24.816533942293045L392.5868439152119,231.18346603632946C392.5868439152119,237.76522007516814 389.9722523191541,244.0774025915806 385.318249411345,248.73140549938972C380.6642465035359,253.38540840719884 374.3520639871234,256.00000000325656 367.7703099729188,256.00000000325656L24.816533942293045,256.00000000325656C18.234779928088443,256.00000000325656 11.922597411675968,253.38540840719884 7.2685945038668525,248.73140549938972C2.614591596057737,244.0774025915806 0,237.76522007516814 0,231.18346603632946L0,24.816533942293045C0,18.234779928088443 2.614591596057737,11.922597411675968 7.2685945038668525,7.2685945038668525C11.922597411675968,2.614591596057737 18.234779928088443,0 24.816533942293045,0Z\")"
    },
    {
      "type": "GROUP",
      "id": "0-4-0",
      "left": "426.517px",
      "top": "108.0px",
      "width": "1066.96674925px",
      "height": "192.3776px",
      "transform": "none",
      "background": "rgb(1, 1, 1)",
      "backgroundColor": "rgb(1, 1, 1)",
      "clipPath": "path(\"M67.86649398388477,0L1351.9625471668362,0C1369.961860457206,0 1387.223968766587,7.150199348417643 1399.9514052844452,19.877635866275902C1412.67884
```
_instruction cut at 16k characters_
---
Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp