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In the encoding groups * floating-point data-processing (1 source) * floating-point data-processing (2 source) * floating-point data-processing (3 source) * floating-point immediate * floating-point compare * floating-ponit conditional compare * floating-point conditional select bit 31 is M and bit 29 is S (and bit 30 is 0, already checked at this point in the decode). None of these groups allocate any encoding for M=1 or S=1. We checked this in disas_fp_compare(), disas_fp_ccomp() and disas_fp_csel(), but missed it in disas_fp_1src(), disas_fp_2src(), disas_fp_3src() and disas_fp_imm(). We also missed that in the fp immediate encoding the imm5 field must be all zeroes. Correctly UNDEF the unallocated encodings here. Backports commit c1e20801f5ee53472dbf2757df605543f3f4ce0b from qemu |
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qemu | ||
samples | ||
tests | ||
.appveyor.yml | ||
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AUTHORS.TXT | ||
Brewfile | ||
ChangeLog | ||
config.mk | ||
COPYING | ||
COPYING.LGPL2 | ||
COPYING_GLIB | ||
CREDITS.TXT | ||
install-cmocka-linux.sh | ||
list.c | ||
make.sh | ||
Makefile | ||
msvc.bat | ||
pkgconfig.mk | ||
README.md | ||
uc.c | ||
windows_export.bat |
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, SPARC, 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 and Haskell.
- 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
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 a TODO list.
CREDITS.TXT records important contributors of our project.