mirror of
https://github.com/c64scene-ar/llvm-6502.git
synced 2025-02-06 06:33:24 +00:00
ARM symbol variants are written with parens instead of @ like this: .word __GLOBAL_I_a(target1) This commit adds support for parsing these symbol variants in expressions. We introduce a new flag to MCAsmInfo that indicates the parser should use parens to parse the symbol variant. The expression parser is modified to look for symbol variants using parens instead of @ when the corresponding MCAsmInfo flag is true. The MCAsmInfo parens flag is enabled only for ARM on ELF. By adding this flag to MCAsmInfo, we are able to get rid of redundant ARM-specific symbol variants and use the generic variants instead (e.g. VK_GOT instead of VK_ARM_GOT). We use the new UseParensForSymbolVariant attribute in MCAsmInfo to correctly print the symbol variants for arm. To achive this we need to keep a handle to the MCAsmInfo in the MCSymbolRefExpr class that we can check when printing the symbol variant. Updated Tests: Changed case of symbol variant to match the generic kind. test/CodeGen/ARM/tls-models.ll test/CodeGen/ARM/tls1.ll test/CodeGen/ARM/tls2.ll test/CodeGen/Thumb2/tls1.ll test/CodeGen/Thumb2/tls2.ll PR18080 git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@196424 91177308-0d34-0410-b5e6-96231b3b80d8
Low Level Virtual Machine (LLVM) ================================ This directory and its subdirectories contain source code for the Low Level Virtual Machine, a toolkit for the construction of highly optimized compilers, optimizers, and runtime environments. LLVM is open source software. You may freely distribute it under the terms of the license agreement found in LICENSE.txt. Please see the documentation provided in docs/ for further assistance with LLVM, and in particular docs/GettingStarted.rst for getting started with LLVM and docs/README.txt for an overview of LLVM's documentation setup. If you're writing a package for LLVM, see docs/Packaging.rst for our suggestions.
Description
Languages
C++
48.7%
LLVM
38.5%
Assembly
10.2%
C
0.9%
Python
0.4%
Other
1.2%