llvm with tablegen backend for capstone disassembler
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Pavel Labath 957d9a0335 [lldb] remove unsigned Stream::operator<< overloads
Summary:
I recently re-discovered that the unsinged stream operators of the
lldb_private::Stream class have a surprising behavior in that they print
the number in hex. This is all the more confusing because the "signed"
versions of those operators behave normally.

Now that, thanks to Raphael, each Stream class has a llvm::raw_ostream
wrapper, I think we should delete most of our formatting capabilities
and just delegate to that. This patch tests the water by just deleting
the operators with the most surprising behavior.

Most of the code using these operators was printing user_id_t values. It
wasn't fully consistent about prefixing them with "0x", but I've tried
to consistenly print it without that prefix, to make it more obviously
different from pointer values.

Reviewers: teemperor, JDevlieghere, jdoerfert

Subscribers: lldb-commits

Tags: #lldb

Differential Revision: https://reviews.llvm.org/D70241
2019-11-26 14:24:28 +01:00
clang [OpenCL] Add work-group and miscellaneous vector builtin functions 2019-11-26 10:44:49 +00:00
clang-tools-extra [clangd] Speed up when building rename edit. 2019-11-26 13:47:47 +01:00
compiler-rt Fix sanitizer-common build with glibc 2.31 2019-11-25 14:38:10 -08:00
debuginfo-tests [debuginfo] Update test to account for missing __debug_macinfo 2019-11-11 10:40:47 -08:00
libc [libc] Add a TableGen based header generator. 2019-11-22 13:02:24 -08:00
libclc libclc: Drop the old python based build system 2019-11-08 09:59:40 -05:00
libcxx [libcxx] Omit unneeded locale fallbacks on Android 21+ 2019-11-25 11:06:08 -08:00
libcxxabi [libcxxabi] Prevent cmake from removing our explicit system C++ include paths 2019-11-12 10:08:40 -08:00
libunwind [libunwind] Adjust the signal_frame test for Arm 2019-11-19 09:58:46 +00:00
lld [LLD][ELF] - Make compression level be dependent on -On. 2019-11-26 11:50:22 +03:00
lldb [lldb] remove unsigned Stream::operator<< overloads 2019-11-26 14:24:28 +01:00
llgo IR: Support parsing numeric block ids, and emit them in textual output. 2019-03-22 18:27:13 +00:00
llvm [yaml2obj] - Fix BB after «[yaml2obj] - Teach tool to describe SHT_GNU_verdef section with a "Content" property.» 2019-11-26 16:05:38 +03:00
openmp [openmp] Recognise ARMv7ve machine arch. 2019-11-26 14:37:24 +03:00
parallel-libs
polly Add missing includes needed to prune LLVMContext.h include, NFC 2019-11-14 15:23:15 -08:00
pstl [pstl] Allow customizing whether per-TU insulation is provided 2019-08-13 12:49:00 +00:00
.arcconfig
.clang-format
.clang-tidy
.git-blame-ignore-revs Add LLDB reformatting to .git-blame-ignore-revs 2019-09-04 09:31:55 +00:00
.gitignore Add a newline at the end of the file 2019-09-04 06:33:46 +00:00
README.md Add beginning of LLVM's GettingStarted to GitHub readme 2019-10-23 18:03:37 -07:00

The LLVM Compiler Infrastructure

This directory and its subdirectories contain source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and runtime environments.

Getting Started with the LLVM System

Taken from https://llvm.org/docs/GettingStarted.html.

Overview

Welcome to the LLVM project!

The LLVM project has multiple components. The core of the project is itself called "LLVM". This contains all of the tools, libraries, and header files needed to process intermediate representations and converts it into object files. Tools include an assembler, disassembler, bitcode analyzer, and bitcode optimizer. It also contains basic regression tests.

C-like languages use the Clang front end. This component compiles C, C++, Objective C, and Objective C++ code into LLVM bitcode -- and from there into object files, using LLVM.

Other components include: the libc++ C++ standard library, the LLD linker, and more.

Getting the Source Code and Building LLVM

The LLVM Getting Started documentation may be out of date. The Clang Getting Started page might have more accurate information.

This is an example workflow and configuration to get and build the LLVM source:

  1. Checkout LLVM (including related subprojects like Clang):

    • git clone https://github.com/llvm/llvm-project.git

    • Or, on windows, git clone --config core.autocrlf=false https://github.com/llvm/llvm-project.git

  2. Configure and build LLVM and Clang:

    • cd llvm-project

    • mkdir build

    • cd build

    • cmake -G <generator> [options] ../llvm

      Some common generators are:

      • Ninja --- for generating Ninja build files. Most llvm developers use Ninja.
      • Unix Makefiles --- for generating make-compatible parallel makefiles.
      • Visual Studio --- for generating Visual Studio projects and solutions.
      • Xcode --- for generating Xcode projects.

      Some Common options:

      • -DLLVM_ENABLE_PROJECTS='...' --- semicolon-separated list of the LLVM subprojects you'd like to additionally build. Can include any of: clang, clang-tools-extra, libcxx, libcxxabi, libunwind, lldb, compiler-rt, lld, polly, or debuginfo-tests.

        For example, to build LLVM, Clang, libcxx, and libcxxabi, use -DLLVM_ENABLE_PROJECTS="clang;libcxx;libcxxabi".

      • -DCMAKE_INSTALL_PREFIX=directory --- Specify for directory the full pathname of where you want the LLVM tools and libraries to be installed (default /usr/local).

      • -DCMAKE_BUILD_TYPE=type --- Valid options for type are Debug, Release, RelWithDebInfo, and MinSizeRel. Default is Debug.

      • -DLLVM_ENABLE_ASSERTIONS=On --- Compile with assertion checks enabled (default is Yes for Debug builds, No for all other build types).

    • Run your build tool of choice!

      • The default target (i.e. ninja or make) will build all of LLVM.

      • The check-all target (i.e. ninja check-all) will run the regression tests to ensure everything is in working order.

      • CMake will generate build targets for each tool and library, and most LLVM sub-projects generate their own check-<project> target.

      • Running a serial build will be slow. To improve speed, try running a parallel build. That's done by default in Ninja; for make, use make -j NNN (NNN is the number of parallel jobs, use e.g. number of CPUs you have.)

    • For more information see CMake

Consult the Getting Started with LLVM page for detailed information on configuring and compiling LLVM. You can visit Directory Layout to learn about the layout of the source code tree.