Files
unicorn/bindings/python/README.md
@Antelox 6fbbf3089a Python binding setup refactoring + cibuildwheel workflow (#2026)
* Python bindings: Make the test scripts handy for pytest

* Python bindings: Update MANIFEST.in with new paths

* Update .gitignore to exclude PyCharm-related files/folders

* Python bindings: Update CMakeLists.txt in order to set CMAKE_OSX_ARCHITECTURES var

* Python bindings:
- Moved project package settings to the new TOML format
- Refactored setup.py to cleanup/improve the code and make it ready for cibuildwheel
- Updated README.md with the package long description part
- Removed setup.cfg since universal wheel building will be deprecated soon

* Python bindings:
- Replaced old PyPI-publishing.yml workflow with brand-new one based on cibuildwheel
- Removed old building scripts

* Replaced macos-12 runner with macos-13 since it will be removed soon

* Python bindings: Specify SYSTEM_VERSION_COMPAT=0 env var for macos-13 x86_64 runner as per cibuildwheel warning message

* Python bindings: Enable i686 for debugging

* Python bindings: Enable DEBUG flag according to the presence of tag release

* Python bindings: Added matrix to cover i686 manylinux/musllinux builds

* Python bindings:
- Replaced macos-14 runner with macos-latest
- Bumped cibuildwheel GitHub action to 2.21.3 version

* Python bindings:
- Adapt test_uc_ctl_tb_cache test to the recent changes
- Fixed typos
- PEP8 fixes

* GitHub Action Workflow: Introduce BUILD_TYPE env var to select build type according to the presence of tag release

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Co-authored-by: mio <mio@lazym.io>
2024-10-17 19:35:42 +08:00

2.8 KiB

Unicorn

Unicorn is a lightweight, multi-platform, multi-architecture CPU emulator framework based on QEMU.

Unicorn offers some unparalleled features:

  • Multi-architecture: ARM, ARM64 (ARMv8), M68K, MIPS, PowerPC, RISCV, SPARC, S390X, TriCore and X86 (16, 32, 64-bit)
  • Clean/simple/lightweight/intuitive architecture-neutral API
  • Implemented in pure C language, with bindings for Crystal, Clojure, Visual Basic, Perl, Rust, Ruby, Python, Java, .NET, Go, Delphi/Free Pascal, Haskell, Pharo, and Lua.
  • Native support for Windows & *nix (with Mac OSX, Linux, *BSD & Solaris confirmed)
  • High performance via Just-In-Time compilation
  • Support for fine-grained instrumentation at various levels
  • Thread-safety by design
  • Distributed under free software license GPLv2

Further information is available at http://www.unicorn-engine.org

Python Bindings for Unicorn

Originally written by Nguyen Anh Quynh, polished and redesigned by elicn, maintained by all community contributors.

Install

Install a prebuilt wheel from PyPI:

pip3 install unicorn

In case you would like to develop the bindings:

# Python3
DEBUG=1 THREADS=4 pip3 install --user -e .
# Workaround for Pylance
DEBUG=1 THREADS=4 pip3 install --user -e . --config-settings editable_mode=strict
# Python2
DEBUG=1 THREADS=4 pip install -e .

or install it by building it by yourself:

# Python3
THREADS=4 pip3 install --user .
# Python2, unfortunately `pip2` doesn't support in-tree build
THREADS=4 python3 setup.py install

Explanations for arguments:

  • THREADS=4 will use 4 threads for building.
  • DEBUG=1 will build debug version of unicorn.
  • --user will install the bindings to your user directory instead of requiring root permission.
  • -e infers the editable mode, which gives your instant feedback instead of re-compiling every time.

Note that you should setup a valid building environment according to docs/COMPILE.md but not necessarily build it because setup.py will do this for you.

Python2 compatibility

By default, Unicorn python bindings will be maintained against Python3 as it offers more powerful features which improves developing efficiency. Meanwhile, Unicorn will only keep compatible with all features Unicorn1 offers regarding Python2 because Python2 has reached end-of-life for more than 3 years as the time of writing this README. While offering all features for both Python2 & Python3 is desirable and doable, it inevitably costs too much efforts to maintain and few users really rely on this. Therefore, we assume that if users still stick to Python2, previous Unicorn1 features we offer should be enough. If you really want some new features Unicorn2 offers, please check and pull request to `unicorn/unicorn_py2``. We are happy to review and accept!