Files
wehub-resource-sync dde272c4b8
i18n - Build Validation / Validate i18n Builds (24) (push) Has been cancelled
CI - Node.js / Lint (24) (push) Has been cancelled
CI - Node.js / Build (24) (push) Has been cancelled
CI - Node.js / Test (24) (push) Has been cancelled
CI - Node.js / Test - Upcoming Changes (24) (push) Has been cancelled
CI - Node.js / Test - i18n (italian, 24) (push) Has been cancelled
CI - Node.js / Test - i18n (portuguese, 24) (push) Has been cancelled
CD - Docker - GHCR Images / Build and Push Images (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 11:55:53 +08:00

97 lines
2.5 KiB
Markdown

---
id: 69162d64f96574d9bb629efd
title: "Challenge 112: AI Detector"
challengeType: 29
dashedName: challenge-112
---
# --description--
Today's challenge is inspired by the release of ChatGPT on November 30, 2022.
Given a string of one or more sentences, determine if it was likely generated by AI using the following rules:
- It contains two or more dashes (`-`).
- It contains two or more sets of parenthesis (`()`). Text can be within the parenthesis.
- It contains three or more words with 7 or more letters.
- Words are separated by a single space and only consist of letters (`A-Z`). Don't include punctuation or other non-letters as part of a word.
If the given sentence meets any of the rules above, return `"AI"`, otherwise, return `"Human"`.
# --hints--
`detect_ai("The quick brown fox jumped over the lazy dog.")` should return `"Human"`.
```js
({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(detect_ai("The quick brown fox jumped over the lazy dog."), "Human")`)
}})
```
`detect_ai("The hypersonic brown fox - jumped (over) the lazy dog.")` should return `"Human"`.
```js
({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(detect_ai("The hypersonic brown fox - jumped (over) the lazy dog."), "Human")`)
}})
```
`detect_ai("Yes - you're right! I made a mistake there - let me try again.")` should return `"AI"`.
```js
({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(detect_ai("Yes - you're right! I made a mistake there - let me try again."), "AI")`)
}})
```
`detect_ai("The extraordinary students were studying vivaciously.")` should return `"AI"`.
```js
({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(detect_ai("The extraordinary students were studying vivaciously."), "AI")`)
}})
```
`detect_ai("The (excited) student was (coding) in the library.")` should return `"AI"`.
```js
({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(detect_ai("The (excited) student was (coding) in the library."), "AI")`)
}})
```
# --seed--
## --seed-contents--
```py
def detect_ai(text):
return text
```
# --solutions--
```py
import re
def detect_ai(text):
if len(re.findall(r'-', text)) >= 2:
return "AI"
if len(re.findall(r'\([^)]*\)', text)) >= 2:
return "AI"
words = text.split()
long_word_count = sum(1 for w in words if len(re.sub(r'[^A-Za-z]', '', w)) >= 7)
if long_word_count >= 3:
return "AI"
return "Human"
```