9cfd5cfac34f4912b7115f3e025ce41bfc252592
- Added fullMode input in workflow_dispatch
- Take decision whether to build either in debug or release mode and if to build for all python versions according to the commit message patterns
- Set proper artifact names
- Removed not needed steps
- Compacted some steps in order to leverage more the matrix feature
- Bumped cibuildwheel action to 2.22.0
- Run actual regress tests in place of sample scripts
- Specify optional test install in pyproject.toml with proper requirements
- Derive package version from git tags
- Add GENERATORS env var support in setup.py to specify cmake generator and minor refactoring
- Minor cleanup/refactoring for the regress test suite
- Marked some regress tests with skipIf to skip them in case of old python versions
- Marked some failing regress tests to be checked with skipIf
Unicorn Engine
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, Lua and Zig.
- Native support for Windows & *nix (with Mac OSX, Linux, Android, *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
License
This project is released under the GPL license.
Compilation & Docs
See docs/COMPILE.md file for how to compile and install Unicorn.
More documentation is available in docs/README.md.
Contact
Contact us via mailing list, email or twitter for any questions.
Contribute
If you want to contribute, please pick up something from our Github issues.
We also maintain a list of more challenged problems in milestones for our regular release.
Please send pull request to our dev branch.
CREDITS.TXT records important contributors of our project.
Description
Languages
C
87.2%
Java
2.6%
Python
2.1%
Pawn
1.2%
Rust
0.9%
Other
5.9%
