# gdb-hub / gdb__template-2-s190

- 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/2ad67a7a-d8a5-4701-b853-48cd6cce7a7b.svg",
      "left": "595.192px",
      "top": "557.745px",
      "width": "432px",
      "height": "18.0655px",
      "transform": "none",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/cc0c7c00-2eb9-4c01-b7d4-668a977b6120.svg",
      "left": "-102.387px",
      "top": "651.556px",
      "width": "524.8px",
      "height": "549.528px",
      "transform": "none",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/56813381-6881-45c2-aa4a-53115a5abb66.svg",
      "left": "682.413px",
      "top": "0.0px",
      "width": "432px",
      "height": "359.64px",
      "transform": "none",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "TEXT",
      "text": "Siempre busca ayuda.",
      "left": "52.8076px",
      "top": "377.18696px",
      "width": "974.385px",
      "height": "197.182px",
      "transform": "none",
      "color": "rgb(244, 235, 221)",
      "fontSize": "87px",
      "fontFamily": "Raleway--900",
      "fontWeight": "900",
      "textAlign": "right",
      "lineHeight": "92.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "@loremipsum",
      "left": "52.8076px",
      "top": "311.64058px",
      "width": "974.385px",
      "height": "62.9092px",
      "transform": "none",
      "color": "rgb(217, 76, 76)",
      "fontSize": "52px",
      "fontFamily": "Raleway--900",
      "fontWeight": "900",
      "textAlign": "right",
      "lineHeight": "55.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "Recuerda que siempre que necesites ayuda, puedes pedirla\n.",
      "left": "340.86262px",
      "top": "595.31676px",
      "width": "689.558px",
      "height": "243.086px",
      "transform": "none",
      "color": "rgb(1, 1, 1)",
      "fontSize": "43px",
      "fontFamily": "Raleway--400",
      "fontWeight": "400",
      "textAlign": "right",
      "lineHeight": "64.0px",
      "letterSpacing": "0.075em",
      "textTransform": "none",
      "fontStyle": "normal"
    }
  ],
  "background": "rgb(237, 146, 52)",
  "width": "1080px",
  "height": "1080px",
  "duration": 3
}

Candidates:
[m92ZQW6918FGlmvuSWi6]
{
  "components": [
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/background_image_5379410e-5b4a-46b0-8c4c-175e8cdd7732.jpeg",
      "left": "-270.507px",
      "top": "0.0px",
      "width": "1621.01px",
      "height": "1080.0px",
      "transform": "rotate(0deg)",
      "opacity": 0.38,
      "overflow": "visible"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/6f100755-54d7-4d95-bc3a-1e552fd58c62.jpg",
      "left": "68.8179px",
      "top": "133.9591573px",
      "width": "698.0299485999999px",
      "height": "465.062691px",
      "transform": "rotate(0deg)",
      "background": "rgba(1, 1, 1, 0)",
      "clipPath": "path(\"M549.071514096749,179.00677844825864C546.947425056447,266.21549117029986 551.3496821347933,382.3690441824685 543.3485798948988,458.55010292325204C545.5387027913761,464.2840427677982 522.9551239794592,456.84422830539296 513.6333446160609,455.1383536875337C513.2481471217056,454.23589098647267 513.5893220452774,453.19035493036534 510.88193394209435,455.24841011449234C505.6542536615581,450.8791699642336 497.92829248906025,454.96226340439983 486.7795764381481,451.94671730573253C485.87711373708714,450.5269893979659 483.9731375507023,454.5440489819569 480.8365293823805,452.82716872140185C478.6684177712949,453.03627593262325 479.21869990608826,454.1588514876016 476.3242158770755,452.7171122944432C474.2661606929486,455.3364552560593 473.98001398285606,447.1922796611185 472.0320152256878,452.2768865866085C471.932964441425,452.2768865866085 471.9769870122085,452.2768865866085 471.70184594481185,452.2768865866085C471.70184594481185,452.2768865866085 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      "src": "https://storage.googleapis.com/lica-video/c12ba1cc-e11d-4481-a471-f6697d86c3e4.jpg",
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      "transform": "rotate(0deg)",
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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