# gdb-hub / gdb__template-2-s43

- 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/85ce024a-4c54-4342-9113-ac07f340e2cd.svg",
      "id": "0-0",
      "left": "921.972px",
      "top": "996.609px",
      "width": "42.4208px",
      "height": "53.6355px",
      "transform": "rotate(90deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/ce8c8798-1224-4aac-b07c-789b1562687b.svg",
      "id": "0-1",
      "left": "520.608px",
      "top": "70.0667px",
      "width": "422.575px",
      "height": "432px",
      "transform": "none",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/1653eaac-bc53-47f8-8aae-05390fc9e6ed.jpg",
      "id": "0-2-0",
      "left": "670.733px",
      "top": "190.229px",
      "width": "409.26700000000005px",
      "height": "699.541px",
      "transform": "rotate(0deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "TEXT",
      "text": "_________________________________________",
      "id": "0-3",
      "left": "110px",
      "top": "84px",
      "width": "860px",
      "height": "48px",
      "color": "rgb(99, 87, 76)",
      "fontSize": "40px",
      "fontFamily": "Belleza--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "56.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "_________________________________________",
      "id": "0-4",
      "left": "110px",
      "top": "924px",
      "width": "860px",
      "height": "48px",
      "color": "rgb(99, 87, 76)",
      "fontSize": "40px",
      "fontFamily": "Belleza--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "56.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "3/5",
      "id": "0-5",
      "left": "409.267px",
      "top": "59.2px",
      "width": "261.467px",
      "height": "21.7333px",
      "color": "rgb(131, 116, 99)",
      "fontSize": "18px",
      "fontFamily": "Montserrat--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "18.0px",
      "letterSpacing": "0.2em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "INSPIRING \nTITLE HERE. ",
      "id": "0-6",
      "left": "110px",
      "top": "314.129px",
      "width": "512.283px",
      "height": "156px",
      "color": "rgb(99, 87, 76)",
      "fontSize": "60px",
      "fontFamily": "Belleza--400",
      "fontWeight": "400",
      "textAlign": "left",
      "lineHeight": "84.0px",
      "letterSpacing": "0.08em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "When creating your own, highlight relevant points in your design. Lists are an option!",
      "id": "0-7",
      "left": "108px",
      "top": "525.738px",
      "width": "468.407px",
      "height": "199.133px",
      "color": "rgb(131, 116, 99)",
      "fontSize": "29px",
      "fontFamily": "Montserrat--400",
      "fontWeight": "400",
      "textAlign": "left",
      "lineHeight": "41.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    }
  ],
  "background": "rgb(245, 240, 231)",
  "width": "1080px",
  "height": "1080px",
  "duration": 3
}

Candidates:
[jh6iO1LOtrEs3Xddf9HN]
{
  "components": [
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/06516dca-83cb-45f3-9c60-d46b9c2db446.svg",
      "id": "0-0",
      "left": "921.972px",
      "top": "996.609px",
      "width": "42.4208px",
      "height": "53.6355px",
      "transform": "rotate(90deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/85613cee-42ee-4330-ab2e-833d30301f09.svg",
      "id": "0-1",
      "left": "117.425px",
      "top": "612.637px",
      "width": "422.575px",
      "height": "432px",
      "transform": "rotate(-180deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/1edb8aac-1242-4421-ab73-3404787e72a1.jpg",
      "id": "0-2-0",
      "left": "0.0px",
      "top": "190.229px",
      "width": "409.267px",
      "height": "699.541px",
      "transform": "rotate(0deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "TEXT",
      "text": "_______________________________________",
      "id": "0-3",
      "left": "110px",
      "top": "84px",
      "width": "860px",
      "height": "48px",
      "color": "rgb(99, 87, 76)",
      "fontSize": "40px",
      "fontFamily": "Belleza--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "56.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "_______________________________________",
      "id": "0-4",
      "left": "110px",
      "top": "924px",
      "width": "860px",
      "height": "48px",
      "color": "rgb(99, 87, 76)",
      "fontSize": "40px",
      "fontFamily": "Belleza--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "56.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "4/5",
      "id": "0-5",
      "left": "409.267px",
      "top": "59.2px",
      "width": "261.467px",
      "height": "21.7333px",
      "color": "rgb(131, 116, 99)",
      "fontSize": "18px",
      "fontFamily": "Montserrat--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "18.0px",
      "letterSpacing": "0.2em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "INSPIRING TITLE.",
      "id": "0-6",
      "left": "503.593px",
      "top": "314.129px",
      "width": "466.407px",
      "height": "156px",
      "color": "rgb(99, 87, 76)",
      "fontSize": "60px",
      "fontFamily": "Belleza--400",
      "fontWeight": "400",
      "textAlign": "left",
      "lineHeight": "84.0px",
      "letterSpacing": "0.08em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "Engage your audience with simple, understandable language.",
      "id": "0-7",
      "left": "501.593px",
      "top": "525.738px",
      "width": "468.407px",
      "height": "117.133px",
      "color": "rgb(131, 116, 99)",
      "fontSize": "29px",
      "fontFamily": "Montserrat--400",
      "fontWeight": "400",
      "textAlign": "left",
      "lineHeight": "41.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    }
  ],
  "background": "rgb(245, 240, 231)",
  "width": "1080px",
  "height": "1080px",
  "duration": 3
}

[4WR6DyGuWK7GRAxLeJjl]
{
  "components": [
    {
      "type": "TEXT",
      "text": "___",
      "id": "0-0",
      "left": "110px",
      "top": "84px",
      "width": "860px",
      "height": "48px",
      "color": "rgb(99, 87, 76)",
      "fontSize": "40px",
      "fontFamily": "Belleza--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "56.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/b7bc3437-cf67-4274-8156-683811def712.svg",
      "id": "0-1",
      "left": "600.992px",
      "top": "617.212px",
      "width": "422.575px",
      "height": "432px",
      "transform": "none",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "TEXT",
      "text": "___",
      "id": "0-2",
      "left": "110px",
      "top": "924px",
      "width": "860px",
      "height": "48px",
      "color": "rgb(99, 87, 76)",
      "fontSize": "40px",
      "fontFamily": "Belleza--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "56.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "5/5",
      "id": "0-3",
      "left": "409.267px",
      "top": "59.2px",
      "width": "261.467px",
      "height": "21.7333px",
      "color": "rgb(131, 116, 99)",
      "fontSize": "18px",
      "fontFamily": "Montserrat--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "18.0px",
      "letterSpacing": "0.2em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "IMAGE",
      "src": "https://storage.googleapis.com/lica-video/f62887bb-0bc9-4901-975c-b43389eec1cc.jpg",
      "id": "0-4-0",
      "left": "182.549px",
      "top": "559.053px",
      "width": "714.903px",
      "height": "341.20400000000006px",
      "transform": "rotate(0deg)",
      "opacity": 1,
      "overflow": "hidden"
    },
    {
      "type": "TEXT",
      "text": "INSPIRING TITLE",
      "id": "0-5",
      "left": "182.549px",
      "top": "210.743px",
      "width": "714.903px",
      "height": "72px",
      "color": "rgb(99, 87, 76)",
      "fontSize": "60px",
      "fontFamily": "Belleza--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "84.0px",
      "letterSpacing": "0.08em",
      "textTransform": "uppercase",
      "fontStyle": "normal"
    },
    {
      "type": "TEXT",
      "text": "Ensure social media content is supported by accurate data and research.",
      "id": "0-6",
      "left": "196.918px",
      "top": "331.782px",
      "width": "686.164px",
      "height": "117.133px",
      "color": "rgb(131, 116, 99)",
      "fontSize": "29px",
      "fontFamily": "Montserrat--400",
      "fontWeight": "400",
      "textAlign": "center",
      "lineHeight": "41.0px",
      "letterSpacing": "0em",
      "textTransform": "none",
      "fontStyle": "normal"
    }
  ],
  "background": "rgb(245, 240, 231)",
  "width": "1080px",
  "height": "1080px",
  "duration": 3
}

[TAz2fxS1rNHRb5Vnt5DT]
{
  "components": [
    {
      "type": "GROUP",
      "left": "484.371px",
      "top": "130.177px",
      "width": "222.29632064px",
      "height": "44.227072px",
      "transform": "none",
      "background": "rgb(252, 243, 229)",
      "backgroundColor": "rgb(252, 243, 229)",
      "clipPath": "path(\"M1265.4052982206679,250.56262482000096L21.314510705596135,250.56262482000096C12.61471041759771,250.56262482000096 5.437375179999013,243.38528958240224 5.437375179999013,234.68548929440382L5.437375179999013,21.314510705596135C5.437375179999013,12.61471041759771 12.61471041759771,5.437375179999013 21.314510705596135,5.437375179999013L1265.1878032134678,5.437375179999013C1273.8876035014662,5.437375179999013 1281.0649387390652,12.61471041759771 1281.0649387390652,21.314510705596135L1281.0649387390652,234.46799428720394C1281.2824337462648,243.38528958240232 1274.1050985086663,250.56262482000102 1265.4052982206679,250.56262482000102Z\")"
    },
    {
      "type": "GROUP",
      "left": "484.371px",
      "top": "130.177px",
      "width": "222.29632064px",
      "height": "44.227072px",
      "transform": "none",
      "background": "rgb(252, 243, 229)",
      "backgroundColor": "rgb(252, 243, 229)",
      "clipPath": "path(\"M1265.4052982206679,10.222265338398145C1271.4951584222665,10.222265338398145 1276.4975435878657,15.224650503997237 1276.4975435878657,21.314510705596135L1276.4975435878657,234.68548929440388C1276.4975435878657,240.7753494960028 1271.4951584222665,245.77773466160187 1265.4052982206679,245.77773466160187L21.314510705596135,245.77773466160187C15.224650503997237,245.77773466160187 10.222265338398145,240.77534949600275 10.222265338398145,234.68548929440388L10.222265338398145,21.314510705596135C10.222265338398145,15.224650503997237 15.224650503997237,10.222265338398145 21.314510705596135,10.222265338398145L1265.4052982206679,10.222265338398145M1265.4052982206679,0L21.314510705596135,0C9.569780316798264,0 0,9.569780316798264 0,21.314510705596135L0,234.68548929440388C0,246.43021968320176 9.569780316798264,256 21.314510705596135,256L1265.4052982206679,256C1277.1500286094656,256 1286.7198089262638,246.43021968320176 1286.7198089262638,234.68548929440388L1286.7198089262638,21.314510705596135C1286.7198089262638,9.569780316798264 1277.1500286094656,0 1265.4052982206679,0Z\")"
    },
    {
      "type": "GROUP",
      "left": "110.138px",
      "top": "256.952px",
      "width": "320.00007452px",
      "height": "46.294528px",
      "transform": "none",
      "background": "rgb(252, 243, 229)",
      "backgroundColor": "rgb(252, 243, 229)",
      "clipPath": "path(\"M1749.174132611363,250.80546924522304L20.362560558725733,250.80546924522304C12.051311351082576,250.80546924522304 5.194530754776973,243.94868864891743 5.194530754776973,235.63743944127427L5.194530754776973,20.362560558725733C5.194530754776973,12.051311351082576 12.051311351082576,5.194530754776973 20.362560558725733,5.194530754776973L1748.9663513811718,5.194530754776973C1757.277600588815,5.194530754776973 1764.1343811851207,12.051311351082576 1764.1343811851207,20.362560558725733L1764.1343811851207,235.42965821108325C1764.3421624153118,243.94868864891748 1757.4853818190063,250.8054692452231 1749.1741326113631,250.8054692452231Z\")"
    },
    {
      "type": "GROUP",
      "left": "110.138px",
      "top": "256.952px",
      "width": "320.00007452px",
      "height": "46.294528px",
      "transform": "none",
      "background": "rgb(252, 243, 229)",
      "backgroundColor": "rgb(252, 243, 229)",
      "clipPath": "path(\"M1749.174132611363,9.76571781898071C1754.9920070567132,9.76571781898071 1759.770975351108,14.544686113375523 1759.770975351108,20.362560558725733L1759.770975351108,235.63743944127432C1759.770975351108,241.45531388662457 1754.9920070567132,246.23428218101932 1749.174132611363,246.23428218101932L20.362560558725733,246.23428218101932C14.544686113375523,246.23428218101932 9.76571781898071,241.4553138866245 9.76571781898071,235.63743944127432L9.76571781898071,20.362560558725733C9.76571781898071,14.544686113375523 14.544686113375523,9.76571781898071 20.362560558725733,9.76571781898071L1749.174132611363,9.76571781898071M1749.174132611363,0L20.362560558725733,0C9.142374128407473,0 0,9.142374128407473 0,20.362560558725733L0,235.63743944127432C0,246.8576258715926 9.142374128407473,256 20.362560558725733,256L1749.174132611363,256C1760.394319041681,256 1769.5366931700887,246.8576258715926 1769.5366931700887,235.63743944127432L1769.5366931700887,20.362560558725733C1769.5366931700887,9.142374128407473 1760.394319041681,0 1749.174132611363,0Z\")"
    },
    {
```
_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
