semvec/pypi-packages huggingface dataset:
wwpdb.io 1.0
wwPDB Python Configuration Parsing
Requires Python: >=3.6

# OneDep I/O Untility Library

[![Build Status](https://dev.azure.com/wwPDB/wwPDB%20Python%20Projects/_apis/build/status/wwPDB.py-wwpdb_io?branchName=master)](https://dev.azure.com/wwPDB/wwPDB%20Python%20Projects/_build/latest?definitionId=4&branchName=master)


## Introduction
Utilities for supporting I/O operations from OneDep

### Installation

Download the library source software from the project repository:

```bash

git clone --recurse-submodules https://github.com/wwPDB/py-wwpdb_io.git

```

Optionally, run test suite using the Tox test runner

```bash
python setup.py test

or simply run

tox
```
Installation is via the program [pip](https://pypi.python.org/pypi/pip).

```bash
pip install wwpdb.io

or from the local repository:

pip install .
```
knowledgenet 1.0.0b2
Knowledgenet RETE engine
Requires Python: >=3.13
Keywords: RETE, rules engine, knowledgebase, inference engine, expert systems, rule-based system, forward chaining, backward chaining

# Knowledgenet
Knowledgenet is a Python Language software library that enables application developers to build applications that make complex decisions based on **facts** supplied to the service entrypoint and **rules** developed by **application developers** and **business users**. Knowledgenet is an implementation of an **Inference Engine** using an adaptation of the Rete algorithm designed by **Charles L. Forgy** of Carnegie Melon University. Rete is an efficient pattern matching algorithm that is widely used in many AI systems including Expert Systems.

Please refer to the product documentation located in the [Knowledgenet Repository](https://github.com/amitchatterjee/knowledgenet/tree/develop/doc).