AAIAS — AI Algorithm Source Library
AAIAS is a Python library that provides source-code templates for common Applied Artificial Intelligence algorithms. Retrieve the source code of an algorithm as text and inspect, copy, or adapt it for your projects.
Installation
pip install aaias-library
Usage
Import get_template and request the algorithm you want:
from aaias import get_template
source_code = get_template("bfs")
print(source_code)
The function returns the algorithm's source code as a string. It does not automatically execute the algorithm.
Available Templates
| Template | Name |
|---|---|
| Breadth-First Search | bfs |
| Depth-First Search | dfs |
| Greedy Best-First Search | gbfs |
| AI Agents | agents |
| Model Checking | model_checking |
| Bayesian Belief Network | bayes_belief_network |
For example, to retrieve the Bayesian Belief Network template:
from aaias import get_template
print(get_template("bayes_belief_network"))
Error Handling
If you request an unknown template, get_template() raises a ValueError listing the available template names.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for aaias-library 0.1.0
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 | |
|---|---|---|---|---|
| aaias_library-0.1.0.tar.gz | 5.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aaias_library-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.8 kB
Release files / aaias_library-0.1.0.tar.gz
| Download URL | aaias_library-0.1.0.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
765a777dbf1a44c59020c14bdbd916764bfe74b5ea7d901b1b3eae477571fac3
|
|
BLAKE2b-256 checksum How to use checksums |
cbd01a8c02e5898d0b204c8c28ad4c05f823eb27ef9c2f86b39bfbab7a5fd543
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
|
Release files / aaias_library-0.1.0-py3-none-any.whl
| Download URL | aaias_library-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1cfa067215542085456181e3cd18d69666b1ee04b2ddb7e0ca95b576cf6b7063
|
|
BLAKE2b-256 checksum How to use checksums |
4a80934bbd46f0f7a34d03a5be3f9ae0e632cd77e28c3474e30cdb6871f9713a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
|
Security for aaias-library 0.1.0
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.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
