WangLiangpu 0cd8b83f5b Squashed commit of the following:
commit 2d9587f26b
Author: WangLiangpu <wangjingpu17@mails.ucas.ac.cn>
Date:   Wed Nov 1 21:36:35 2023 +0800

    fix: fix tcg_out_dupi_vec interface conflicts

commit b957324d3d
Author: zhaodongru <zhaodongru@yeah.net>
Date:   Mon Oct 23 18:15:01 2023 +0800

    start loongarch compile

    fix: modify the code to pass compile

    add: add code for tcg_out_op, tcg_can_emit_vec_op, tcg_target_op_def to support new tcg_op

    fix: fix bugs related to epilogue and ret_addr

    fix: fix bug in qemu_ld_slow_path, the return register is wrong
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Unicorn Engine

pypi downloads Fuzzing Status

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.

Description
No description provided
Readme 16 MiB
Languages
C 87.2%
Java 2.6%
Python 2.1%
Pawn 1.2%
Rust 0.9%
Other 5.9%