semvec/pypi-packages huggingface dataset:
sabctools 9.3.2
C implementations of functions for use within SABnzbd
Requires Python: >=3.9


SABCTools - C implementations of functions for use within SABnzbd
===============================

This module implements three main sets of C implementations that are used within SABnzbd: 
* yEnc decoding and encoding using SIMD routines
* CRC32 calculations
* Non-blocking SSL-socket reading
* Marking files as sparse

Of course, they can also be used in any other application.

## yEnc decoding and encoding using SIMD routines
yEnc decoding and encoding performed by using [yencode](https://github.com/animetosho/node-yencode) from animetosho, 
which utilizes x86/ARM SIMD optimised routines if such CPU features are available.

## CRC32 calculations
We used the `crcutil` library for very fast CRC calculations.

## Non-blocking SSL-socket reading
When Python reads data from a non-blocking SSL socket, it is limited to receiving 16K data at once. This module implements a patched version that can read as much data is available at once.
For more details, see the [cpython pull request](https://github.com/python/cpython/pull/31492).

## Marking files as sparse
Uses Windows specific system calls to mark files as sparse and set the desired size.
On other platforms the same is achieved by calling `truncate`.

## Utility functions
Use `sabctools.bytearray_malloc(size)` to get an `bytearray` that is uninitialized (not set to `0`'s). 
This is much faster than the built-in `bytearray(size)` because the data inside the new `bytearray` will be whatever is present in the memory block.

# Installing

As simple as running:
```
pip install sabctools --upgrade
```
When you want to compile from sources, you can run in the `sabctools` directory:
```
pip install .
```

> [!NOTE]
> You need a compiler that supports at least C++17 to compile the extension.

## SIMD detection

To see which SIMD set was detected on your system, run:
```
python -c "import sabctools; print(sabctools.simd);"
```

## OpenSSL detection

To see if we could link to OpenSSL library on your system, run:
```
python -c "import sabctools; print(sabctools.openssl_linked);"
```

# Testing

For testing we use `pytest` (install via `pip install --group test`) and test can simply be executed by browsing to the `sabctools` directory and running:
```
pytest
```
Note that tests can fail if `git` modified the line endings of data files when checking out the repository!