# gdb-hub / gdb__template-2-s74

- 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:
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    },
    {
      "type": "TEXT",
      "text": "INQUIRE",
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    },
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    },
    {
      "type": "TEXT",
      "text": "Curious minds, we plead,",
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    },
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      "type": "TEXT",
      "text": "Asking questions frees minds,",
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      "top": "956.6703px",
      "width": "1345.26px",
      "height": "80.7961px",
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      "letterSpacing": "0em",
      "textTransform": "none",
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    {
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      "top": "1124.16px",
      "width": "1466.0869408800002px",
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      "transform": "rotate(1.62401deg)",
      "background": "rgb(252, 252, 252)",
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    },
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      "type": "TEXT",
      "text": "Uncover answers as we explore,",
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    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/16ec07f1-03d2-4ee8-9cd5-b2965594592e.png",
      "left": "49.9834px",
      "top": "517.444px",
      "width": "757.532px",
      "height": "1122.27px",
      "transform": "none",
      "opacity": 1,
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    },
    {
      "type": "TEXT",
      "text": "Questioning makes comprehension soar!",
      "left": "774.283px",
      "top": "1398.1433px",
      "width": "1421.1px",
      "height": "80.7961px",
      "transform": "none",
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  "background": "rgb(252, 163, 60)",
  "width": "2304px",
  "height": "1728px",
  "duration": 3
}

Candidates:
[5dDNJdgwY0vaEwy8esHP]
{
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    },
    {
      "type": "GROUP",
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      "top": "145.079px",
      "width": "2127.71384626px",
      "height": "442.796326px",
      "transform": "rotate(1.55422deg)",
      "background": "rgb(1, 1, 1)",
      "backgroundColor": "rgb(1, 1, 1)",
      "clipPath": "path(\"M5067.660036751804,1045.5919322108407L5079.068104540963,1045.5919322108407L5079.068104540963,1057L5067.660036751804,1057L5067.660036751804,1045.5919322108407ZM0,11.408067789159228L11.408067789159228,11.408067789159228L11.408067789159228,1045.5919322108407L0,1045.5919322108407L0,11.408067789159228ZM0,1045.5919322108407L11.408067789159228,1045.5919322108407L11.408067789159228,1057L0,1057L0,1045.5919322108407ZM5067.660036751804,11.408067789159228L5079.068104540963,11.408067789159228L5079.068104540963,1045.5919322108407L5067.660036751804,1045.5919322108407L5067.660036751804,11.408067789159228ZM11.408067789159228,1045.5919322108407L5067.660036751804,1045.5919322108407L5067.660036751804,1057L11.408067789159228,1057L11.408067789159228,1045.5919322108407ZM5067.660036751804,0L5079.068104540963,0L5079.068104540963,11.408067789159228L5067.660036751804,11.408067789159228L5067.660036751804,0ZM0,0L11.408067789159228,0L11.408067789159228,11.408067789159228L0,11.408067789159228L0,0ZM11.408067789159228,0L5067.660036751804,0L5067.660036751804,11.408067789159228L11.408067789159228,11.408067789159228L11.408067789159228,0Z\")"
    },
    {
      "type": "TEXT",
      "text": "KEY IDEA",
      "left": "157.987px",
      "top": "178.42510000000001px",
      "width": "1986.48px",
      "height": "412.903px",
      "transform": "rotate(1.55422deg)",
      "color": "rgb(1, 1, 1)",
      "fontSize": "344px",
      "fontFamily": "Luckiest Guy--400",
      "fontWeight": "400",
      "textAlign": "right",
      "lineHeight": "481.87476px",
      "letterSpacing": "0em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "IMAG
```
_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