AI4One
This is a small package for machine learning.
Installation
Install AI4One using pip:
pip install ai4one
Ensure you have Python 3.8+ and pip installed.
Build
uv build
Publish to PyPI
python -m twine upload dist/*
Testing and Local Updates
For development or testing, synchronize your local environment with:
uv sync
1 maintainer
Metadata
1 maintainer
Release files for ai4one 0.0.20.250711
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ai4one-0.0.20.250711.tar.gz | 14.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai4one-0.0.20.250711-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.7 kB
Release files / ai4one-0.0.20.250711.tar.gz
| Download URL | ai4one-0.0.20.250711.tar.gz |
|---|---|
| Size | 14.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Release files / ai4one-0.0.20.250711-py3-none-any.whl
| Download URL | ai4one-0.0.20.250711-py3-none-any.whl |
|---|---|
| Size | 17.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Security for ai4one 0.0.20.250711
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
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