# gdb-hub / gdb__template-2-s124

- 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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      "top": "112.03px",
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    },
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      "text": "TECH",
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    },
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    },
    {
      "type": "TEXT",
      "text": "Computers simplify tasks. They allow us to play games, communicate, store photos, work, and transfer files between devices. Learn about computer hardware on the next slides.",
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      "top": "258.56674999999996px",
      "width": "786.406px",
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  "background": "rgb(156, 219, 188)",
  "width": "1024px",
  "height": "768px",
  "duration": 3
}

Candidates:
[apl7PRU5GUcSYF5ldNCM]
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    },
    {
      "type": "TEXT",
      "text": "Memory card stores photos, videos & games.",
      "left": "588.589px",
      "top": "306.3px",
      "width": "328.644px",
      "height": "145.957px",
      "transform": "none",
      "color": "rgb(1, 1, 1)",
      "fontSize": "36px",
      "fontFamily": "Francois One--400",
      "fontWeight": "400",
      "textAlign": "center",
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      "textTransform": "none",
      "fontStyle": "normal"
    }
  ],
  "background": "rgb(250, 216, 128)",
  "width": "1024px",
  "height": "768px",
  "duration": 3
}

[1ytUIlrZcEuyKePxFQai]
{
  "components": [
    {
      "type": "GROUP",
      "left": "72.404px",
      "top": "92.9411px",
      "width": "439.596234px",
      "height": "580.67449776px",
      "transform": "none",
      "background": "rgb(127, 209, 175)",
      "backgroundColor": "rgb(127, 209, 175)",
      "clipPath": "path(\"M5.703508987685951,5.703508987685951L1116.2964910123142,5.703508987685951L1116.2964910123142,1476.3789124133355L5.703508987685951,1476.3789124133355L5.703508987685951,5.703508987685951Z\")"
    },
```
_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