# Dataset library prototype
Sedpack: scalable and efficient data packing
This is a prototype of a dataset library. Mainly refactored from the [SCAAML](https://github.com/google/scaaml) project.
## Available components
- TODO
## Install
### Dependencies
To use this library you need to have a working version of [TensorFlow 2.x](https://www.tensorflow.org/install) and a version of Python >=3.8.
### Dataset install
#### Development install
1. Clone the repository: `git clone https://security-and-privacy-group-research.googlesource.com/dataset_lib_prototype`
2. Install dependencies: `python3 -m pip install --require-hashes -r requirements.txt`
3. Install the package in development mode: `python3 -m pip install --editable .` (short `pip install -e .` or legacy `python setup.py develop`)
### Update dependencies
Make sure to have: `sudo apt install python3 python3-pip python3-venv` and
activated the virtual environment.
Install requirements: `pip install --require-hashes -r base-tooling-requirements.txt`
Update: `pip-compile requirements.in --generate-hashes --upgrade` and commit requirements.txt.
#### Package install
`pip install TODO(package name)`
### Tutorial
TODO provide instructions how to use this package.
## Disclaimer
This is not an official Google product.
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