Duncan P. N. Exon Smith ac49500cd0 Reapply "FileManager: Improve the FileEntryRef API and customize its OptionalStorage"
This reverts commit 940d0a310dca31ae97080b068cef92eadfee6367,
effectively reapplying 84e8257937ec6a332aa0b688f4dce57016516ffd, after
working around the compile errors on the bots that I wasn't seeing
locally. I removed the `constexpr` from `OptionalStorage<FileEntryRef>`
that I had cargo-culted from the generic version, since `FileEntryRef`
isn't relevant in `constexpr` contexts anyway.

The original commit message follows:

Make a few changes to the `FileEntryRef` API in preparation for
propagating it enough to remove `FileEntry::getName()`.

- Allow `FileEntryRef` to degrade implicitly to `const FileEntry*`. This
  allows functions currently returning `const FileEntry *` to be updated
  to return `FileEntryRef` without requiring all callers to be updated
  in the same patch. This helps avoid both (a) massive patches where
  many fields and locals are updated simultaneously and (b) noisy
  incremental patches where the first patch adds `getFileEntry()` at
  call sites and the second patch removes it. (Once `FileEntryRef` is
  everywhere, we should remove this API.)
- Change `operator==` to compare the underlying `FileEntry*`, ignoring
  any difference in the spelling of the filename. There were 0 users of
  the existing function because it's not useful.  In case comparing the
  exact named reference becomes important, add/test `isSameRef`.
- Add `==` comparisons between `FileEntryRef` and `const FileEntry *`
  (compares the `FileEntry*`).
- Customize `OptionalStorage<FileEntryRef>` to be pointer-sized. Add
  a private constructor that initializes with `nullptr` and specialize
  `OptionalStorage` to use it. This unblocks updating fields in
  size-sensitive data structures that currently use `const FileEntry *`.
- Add `OptionalFileEntryRefDegradesToFileEntryPtr`, a wrapper around
  `Optional<FileEntryRef>` that degrades to `const FileEntry*`. This
  facilitates future incremental patches, like the same operator on
  `FileEntryRef`. (Once `FileEntryRef` is everywhere, we should remove
  this class.)
- Remove the unncessary `const` from the by-value return of
  `FileEntryRef::getName`.
- Delete the unused function `FileEntry::isOpenForTests`.

Note that there are still `FileEntry` APIs that aren't wrapped and I
plan to deal with these separately / incrementally, as they are needed.

Differential Revision: https://reviews.llvm.org/D89834
2020-10-30 15:06:01 -04:00
2020-10-30 11:50:13 +00:00
2020-10-30 14:58:17 -04:00
2020-10-21 09:34:15 +08:00

The LLVM Compiler Infrastructure

This directory and its sub-directories contain source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.

The README briefly describes how to get started with building LLVM. For more information on how to contribute to the LLVM project, please take a look at the Contributing to LLVM guide.

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 work-flow and configuration to get and build the LLVM source:

  1. Checkout LLVM (including related sub-projects 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 build system 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 sub-projects 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 path name 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).

    • cmake --build . [-- [options] <target>] or your build system specified above directly.

      • 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 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 the option -j NNN, where NNN is the number of parallel jobs, e.g. the 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.

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llvm with tablegen backend for capstone disassembler
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