e166cd93bb
* arm64 python: Avoid nested class in insn hook for 10x hook speedup Promote CpReg to a module-level class to address unnecessary performance reduction. In a real-world use case tracing the emulation of real-world machine code, this change reduces time spent in CpReg namedtuple construction from 10% of overall time to below 1%, for a 10x speedup of the insn hook itself, or a 10% overall speedup. Measured using cProfile, python 3.13. * upgrade distro to 22.04 * revert to 22.04 for now * also revert for wheels --------- Co-authored-by: mio <mio@lazym.io>
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.
For common questions, read docs/FAQ.md before raising an issue.
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.