[](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 6.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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"description": "[](https://github.com/noaione/unrar2-cffi/actions/workflows/build.yml)\n\n# unrar2-cffi -- Work with RAR files.\n\n## Description\n\nunrar2-cffi is a python extension that exposes [unrar library](https://rarlab.com/rar_add.htm)\nfunctionality through a [`zipfile`](https://docs.python.org/3/library/zipfile.html)-like interface.\n\nThis is a fork/modified version of [unrar-cffi](https://pypi.org/project/unrar-cffi/) that supports modern Python starting from 3.9+\n\nThis build also target unrar 6.x instead of unrar 5.x from the original unrar-cffi project.\n\n## Difference\n\nThis packages has some difference to the original one:\n- Added typing information\n- Added `__slots__` to improve performance a bit.\n- Moved all the `RarInfo` into at-property data\n - Now you can access the raw header data by using `file._header`\n- Added docstring to most functions.\n- Implement `RarFile.printdir()`\n\n## Features\n\nThe package implements the following `RarFile` functions:\n\n * `namelist()`\n * `infolist()`\n * `getinfo()`\n * `read()`\n * `open()`\n * `testrar()`\n * `rarfile.is_rar_file()`\n\n## Usage\n\n 1. Install with PIP:\n\n `pip install unrar2-cffi`\n\n 2. Use from code:\n\n```python\n from unrar.cffi import rarfile\n\n rar = rarfile.RarFile('sample.rar')\n\n assert rar.testrar() == None\n\n for filename in rar.namelist():\n info = rar.getinfo(filename)\n print(\"Reading {}, {}, {} bytes ({} bytes compressed)\".format(info.filename, info.date_time, info.file_size, info.compress_size))\n data = rar.read(filename)\n print(\"\\t{}...\\n\".format(data[:100]))\n```\n\n## Build\n\n### Requirements\n\nLinux/macOS:\n * gcc compiler suite (`build-essential` packages should be enough)\n * docker (only for `buildmanylinux`)\n\nWindows:\n * VS2022 Build Tools (PLATFORM_TOOLSET=v143)\n * Visual C++ compiler suite\n * `vswhere`\n\n### Compile and test\n\n 1. `./build.sh init`\n 2. `./build.sh build`\n 3. `./build.sh test`\n\nIf you have docker installed, you can build all the [manylinux](https://github.com/pypa/manylinux) \nwheels:\n\n 1. `./build.sh within [manylinux docker image] buildmanylinux`\n 2. `./build.sh within [manylinux docker image] testmanylinux`\n\nBy deafult the image `quay.io/pypa/manylinux2010_x86_64` will be used.\nUse `$DOCKER_IMAGE` and `$PLAT` variables to customize the build.\n\n### Problems\n\nWindows:\n* If you need to retarget solution, apply the `0001-build-retarget-to-vs2022-10.0-v143.patch` that will utilize the latest version.\n\nmacOS:\n* The macOS version are monkeypatching unrar 6.x makefile to utilize C++11\n",
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