# Sedpack - Scalable and efficient data packing
[](https://coveralls.io/github/google/sedpack?branch=main)
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).
Development dependencies:
- cmake for Rust flate2 with [zlib-ng](https://docs.rs/flate2/latest/flate2/)
- python-dev and gcc for [xxhash](https://pypi.org/project/xxhash/)
### Dataset install
#### Development install
1. Clone the repository: `git clone https://github.com/google/sedpack`
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`)
#### Rust install
- Activate your Python virtual environment
- [Install Rust](https://www.rust-lang.org/tools/install)
- Run `maturin develop --release`
- Run `python -m pytest` from the project root directory -- no tests should
be skipped
### 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 pyproject.toml --generate-hashes --upgrade` and commit requirements.txt.
#### Package install
`pip install sedpack`
### Tutorial
Tutorials available in the docs/tutorials/ directory. For a "hello world" see
[docs/tutorials/quick_start/mnist_save.py](https://github.com/google/sedpack/blob/main/docs/tutorials/quick_start/mnist_save.py)
and
[docs/tutorials/quick_start/mnist_save.py](https://github.com/google/sedpack/blob/main/docs/tutorials/quick_start/mnist_read.py).
## Disclaimer
This is not an official Google product.
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