Toolbelt library
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
hai — Utility Library for Python
hai is a collection of helpful Python snippets used at Valohai.
Usage
pip install hai
python
>>> import hai; print(hai.__version__)
Development
Installing editable library version in the current virtual environment for development.
# development dependencies require Python 3.8+
pip install -e . -r requirements-test.txt pre-commit && pre-commit install
# if you want to manually run lints...
pre-commit run --all-files
# if you want to run tests...
pytest
# if you want to try it out...
python
>>> import hai; print(hai.__version__)
Releases
The library is released to both GitHub Releases (https://github.com/valohai/hai) and PyPI (https://pypi-hypernode.com/project/hai/) simultaneously.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hai-0.4.1.tar.gz
(11.5 kB
view details)
Built Distribution
hai-0.4.1-py3-none-any.whl
(13.5 kB
view details)
File details
Details for the file hai-0.4.1.tar.gz.
File metadata
- Download URL: hai-0.4.1.tar.gz
- Upload date:
- Size: 11.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5257f788016eb9ad6e4442ead3a532bf3d347929d0d272045d07265c1a1f51d8 |
|
| MD5 | a90cf91485d9db7c4c50184204a2d637 |
|
| BLAKE2b-256 | 6fa4f15677a4fb71c3b5cdf0644f2e8f8e797f71d6b207d5552cb4b894444e3c |
File details
Details for the file hai-0.4.1-py3-none-any.whl.
File metadata
- Download URL: hai-0.4.1-py3-none-any.whl
- Upload date:
- Size: 13.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | da2d3262e2539f086997a7b5697e0cbc48c04f18a1e507881adc1cb41d188d9d |
|
| MD5 | f8780f489b5141b70d876befed118cac |
|
| BLAKE2b-256 | d76c951812f0afea3e87f2453fc9c66d63b699f62cfb718d9930b01d39e3992b |
