semvec/pypi-packages huggingface dataset:
cc410-restaurant-register 1.0.5
CC 410 Register
Requires Python: >=3.6

# CC 410 Restaurant Register

[![License](https://img.shields.io/github/license/russfeld/restaurantregister-python)](https://github.com/russfeld/restaurantregister-python/blob/main/LICENSE)
[![Latest Release](https://img.shields.io/github/v/release/russfeld/restaurantregister-python)](https://github.com/russfeld/restaurantregister-python/releases)
[![Build](https://github.com/russfeld/restaurantregister-python/actions/workflows/build-python.yml/badge.svg)](https://github.com/russfeld/restaurantregister-python/actions/workflows/build-python.yml)
[![GitHub deployments](https://img.shields.io/github/deployments/russfeld/restaurantregister-python/github-pages?label=docs)](https://russfeld.github.io/restaurantregister-python/)
![Coverage](https://raw.githubusercontent.com/russfeld/restaurantregister-python/badges/.badges/main/coverage.svg)

This library is intended for use in CC 410 course at Kansas State University

[Documentation](https://russfeld.github.io/restaurantregister-python/)

For more information, see the [CC program website](http://www.cs.ksu.edu/core/)
modular-domain-adaptation 0.1
Modular Domain Adaptation is a framework to produce and consume models while addressing the domain misalignment issue.
Requires Python: >=3.8

# modular-domain-adaptation

This is a framework to train and evaluate models using modular adaptation techniques as proposed in the paper Modular Domain Adaptation (TODO add link).

<img src="paradigm-diagram.png" width="500" align='center'>

Using this framework, the model producer trains models using anticipatory domain adaptation techniques, and the model consumer uses the same techniques when evaluating and predicting with the model on a new domain, to address the domain misalignment issue without the need of releasing the training data. Please see the paper for further details.

## Installation

Use [PyPI](https://pypi.org/project/modular-domain-adaptation/) with python 3.8+:

```
pip install modular-domain-adaptation
```

## Getting Started

Please see the [demo section](./demo) for usage of the main APIs.

## Pretrained Models

TODO

## Citing Modular Domain Adaptation

TODO
ExtendedIO 1.0.0
Extended I/O handling functionality for binary data
Requires Python: >=3.7

# Extended IO
Extended IO is module designed to extend the i/o handling of binary files in python.

## Documentation
Please check the [wiki](https://gitlab.com/Nitr4m12/extendedio/-/wikis/home) for documentation.

## Example Usage
```
>>> from extendedio import Reader
>>> reader = Reader(b"\x48\x49\x21")
>>> reader.read_string(3)
"HI!"

>>> from extendedio import Writer
>>> writer = Writer(bytes(), "little")
>>> writer.writef("3s", b"\x48\x49\x21")
>>> writer.getvalue()
b'HI!'

```