[](https://github.com/noaione/unrar2-cffi/actions/workflows/build.yml)
# unrar2-cffi -- Work with RAR files.
## Description
unrar2-cffi is a python extension that exposes [unrar library](https://rarlab.com/rar_add.htm)
functionality through a [`zipfile`](https://docs.python.org/3/library/zipfile.html)-like interface.
This is a fork/modified version of [unrar-cffi](https://pypi.org/project/unrar-cffi/) that supports modern Python starting from 3.9+
This build also target unrar 7.x instead of unrar 5.x from the original unrar-cffi project.
## Difference
This packages has some difference to the original one:
- Added typing information
- Added `__slots__` to improve performance a bit.
- Moved all the `RarInfo` into at-property data
- Now you can access the raw header data by using `file._header`
- Added docstring to most functions.
- Implement `RarFile.printdir()`
## Features
The package implements the following `RarFile` functions:
* `namelist()`
* `infolist()`
* `getinfo()`
* `read()`
* `open()`
* `testrar()`
* `rarfile.is_rar_file()`
## Usage
1. Install with PIP:
`pip install unrar2-cffi`
2. Use from code:
```python
from unrar.cffi import rarfile
rar = rarfile.RarFile('sample.rar')
assert rar.testrar() == None
for filename in rar.namelist():
info = rar.getinfo(filename)
print("Reading {}, {}, {} bytes ({} bytes compressed)".format(info.filename, info.date_time, info.file_size, info.compress_size))
data = rar.read(filename)
print("\t{}...\n".format(data[:100]))
```
## Build
### Requirements
Linux/macOS:
* gcc compiler suite (`build-essential` packages should be enough)
* docker (only for `buildmanylinux`)
Windows:
* VS2022 Build Tools (PLATFORM_TOOLSET=v143)
* Visual C++ compiler suite
* `vswhere`
### Compile and test
1. `./build.sh init`
2. `./build.sh build`
3. `./build.sh test`
If you have docker installed, you can build all the [manylinux](https://github.com/pypa/manylinux)
wheels:
1. `./build.sh within [manylinux docker image] buildmanylinux`
2. `./build.sh within [manylinux docker image] testmanylinux`
By deafult the image `quay.io/pypa/manylinux2010_x86_64` will be used.
Use `$DOCKER_IMAGE` and `$PLAT` variables to customize the build.
### Problems
Windows:
* If you need to retarget solution, apply the `0001-build-retarget-to-vs2022-10.0-v143.patch` that will utilize the latest version.
macOS:
* The macOS version are monkeypatching unrar 6.x makefile to utilize C++11
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