semvec/pypi-packages huggingface dataset:
ontoledgy-bnop 0.1.1
a common top level ontology for bCLEARer based on BORO.
Requires Python: <4.0,>=3.12

# BNOP

BNOP is a reference library containing the code for the BNOP Domain (BORO Native Objects (Python)).

## Execution

* This code is a library, so not to be run on its own.

## Usage Examples

For examples see usages in the following projects:

* https://github.com/OntoLedgy/ol_bclearer_sdk/tree/develop/pipelines

## Documentation

#### Background

The Agile Manifesto prefers “working software over comprehensive documentation”. Robert C. Martin, one of the original authors of the Agile Manifesto, is also the author of the book Clean Code.

In this book, he makes a strong case for code being self-documenting: saying things such as "always try to explain yourself in code."

He suggests that the goal of every programmer should be to write code so clean and expressive that code comments are unnecessary.

When a programmer writes a comment, it will usually mean that they have failed to write code that was expressive enough. At the extreme, he suggests, maybe a little rhetorically, that "comments are always failures".

#### The OntoLedgy documentation policy

To aim to write code so clean and expressive that code comments are unnecessary.

## Contributing

This package doesn't allow external contributors.

## Liability and Warranty

This code is provided as-is and without warranty.

Under no circumstances will the developers be liable for any incidental, consequential, or indirect damages including but not limited to lost or damaged data, revenue loss, economic loss, or commercial loss arising out of the use of this code.

## License

[MIT](https://choosealicense.com/licenses/mit/)

## Acknowledgements

This work was developed initially by BORO Solutions (https://www.borosolutions.net/) and has been updated by ontoledgy to extend the functionality and develop a general development kit based on the BORO model.
paymentAI 0.1.11
A package to handle transaction events and send payloads.
Requires Python: >=3.6

# PaymentAI

A Python client for interacting with the AgentPaid API. This package allows you to send transaction events to the API.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install PaymentAI.

```bash
pip install paymentAI
```

## Usage

```python
from PaymentAI import Client

# Initialize with API token (and custom endpoint if necessary)
api_token = "your_api_token_here"
client = Client(api_token)

# Prepare data for the event
data = {
    "event_name": "bbc_summary",
    "agent_id" : "xx",
    "customer_id" : "xx",
    "foo": "bar"
}

# Send the transaction
response = client.send_transaction(data)
```