# gdb-hub / gdb__template-2-s50

- 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/c9702b6e-fd96-447b-8769-9e0bbd50768b.png",
      "left": "0px",
      "top": "623px",
      "width": "1920px",
      "height": "457px"
    },
    {
      "type": "TEXT",
      "text": "Longer Deck Title",
      "left": "36.5px",
      "top": "142px",
      "width": "1847px",
      "height": "373px",
      "fontSize": "244px",
      "fontFamily": "Syne",
      "fontWeight": "800",
      "textAlign": "center",
      "lineHeight": "214px",
      "letterSpacing": "-0.06em"
    },
    {
      "type": "TEXT",
      "text": "Company name",
      "left": "36px",
      "top": "36px",
      "width": "291px",
      "height": "46px",
      "fontSize": "24px",
      "fontFamily": "Syne",
      "fontWeight": "500",
      "textAlign": "left",
      "lineHeight": "28.799999999999997px",
      "textTransform": "uppercase"
    },
    {
      "type": "TEXT",
      "text": "Month XX YEAR",
      "left": "1593px",
      "top": "36px",
      "width": "292px",
      "height": "46px",
      "fontSize": "24px",
      "fontFamily": "Syne",
      "fontWeight": "500",
      "textAlign": "right",
      "lineHeight": "28.799999999999997px",
      "textTransform": "uppercase"
    }
  ],
  "background": "#b7b12a",
  "width": "1920px",
  "height": "1080px"
}

Candidates:
[O1l2As1mBcRrELUzWiaC]
{
  "components": [
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      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/background_image_a1dcea83-0345-4d53-8b3a-cde77a6fa13f.jpeg",
      "width": "1920.0px",
      "height": "1080.0px",
      "transform": "rotate(0deg)",
      "opacity": 0.1,
      "overflow": "visible"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/136cd307-90b4-4d55-8702-71a25bc4af77.png",
      "left": "148.334px",
      "top": "105.471px",
      "width": "51.5228px",
      "height": "51.5228px",
      "transform": "none",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/b7105804-1f22-4d6a-95e5-2cfb2cc3388b.png",
      "left": "148.334px",
      "top": "105.471px",
      "width": "51.5228px",
      "height": "51.5228px",
      "transform": "none",
      "opacity": 1,
      "overflow": "hidden"
    },
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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