# gdb-hub / gdb__template-2-s142

- 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/9865bb3a-068b-407f-8d72-e3751981e9f1.png",
      "id": "0-0-0",
      "left": "604.284px",
      "top": "14.6218px",
      "width": "218.63px",
      "height": "163.985px",
      "transform": "rotate(90deg) rotate(0deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/344e2e18-ba80-416e-8a48-001da1ca8864.png",
      "id": "0-1-0",
      "left": "124.832px",
      "top": "846.681px",
      "width": "122.298px",
      "height": "323.6199999999999px",
      "transform": "rotate(-90deg) rotate(0deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/0eb24812-9c07-4530-8b5a-bc962206c5e9.png",
      "id": "0-2-0",
      "left": "20.6158px",
      "top": "838.413px",
      "width": "123.54399999999998px",
      "height": "217.587px",
      "transform": "rotate(0deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/14ea75ca-2634-47db-b34a-74afd3056759.png",
      "id": "0-3-0",
      "left": "672.325px",
      "top": "882.415px",
      "width": "121.38499999999999px",
      "height": "187.2249999999999px",
      "transform": "rotate(-180deg) rotate(0deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
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      "src": "https://storage.googleapis.com/lica-video/ca4d6ab4-2e42-4df7-816d-40ff4c7c9257.png",
      "id": "0-4",
      "left": "706.285px",
      "top": "932.404px",
      "width": "57.4959px",
      "height": "105.983px",
      "transform": "rotate(-180deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "TEXT",
      "text": "TODAY SCHEDULE",
      "id": "0-5",
      "left": "192.968px",
      "top": "102.2145px",
      "width": "430.065px",
      "height": "115.899px",
      "transform": "none",
      "color": "rgb(1, 1, 1)",
      "fontSize": "52px",
      "fontFamily": "Tenor Sans--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "52.681496px",
      "letterSpacing": "0em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
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      "type": "TEXT",
      "text": "Date",
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      "width": "111.709px",
      "height": "19.5657px",
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      "fontFamily": "Tenor Sans--400",
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      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
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      "width": "588.1310597199999px",
      "height": "215.16416px",
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      "backgroundColor": "rgb(241, 241, 241)",
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    },
    {
      "type": "GROUP",
      "id": "0-10-0",
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    },
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      "type": "TEXT",
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      "fontFamily": "Tenor Sans--400",
      "fontWeight": "700",
      "textAlign": "left",
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      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
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```
_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