Vibesort
AI-powered array sorting using GPT.
Usage
Install the package:
pip install vibesort
Set your OpenAI API key as an environment variable.
export OPENAI_API_KEY=your_key_here
from vibesort import vibesort
result = vibesort([5, 2, 8, 1, 9])
print(result) # [1, 2, 5, 8, 9]
Test
pytest tests/
Dependencies
- openai
- pydantic
- typing-extensions
⚠️ Requires OpenAI API key. Experimental project - not for production use.
1 maintainer
Metadata
1 maintainer
Release files for vibesort 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vibesort-0.1.1.tar.gz | 25.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vibesort-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.5 kB
Release files / vibesort-0.1.1.tar.gz
| Download URL | vibesort-0.1.1.tar.gz |
|---|---|
| Size | 25.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.7.6
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Release files / vibesort-0.1.1-py3-none-any.whl
| Download URL | vibesort-0.1.1-py3-none-any.whl |
|---|---|
| Size | 3.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.7.6
|
