Commit Graph
3 Commits
Author SHA1 Message Date
Chandler Carruth 0c34e65c1c Fix the clang-tidy naming settings. (#219)
The term "constant" in this setting seems to actually mean anything that
is `const` qualified. For Carbon code, anything that should actually use
`CamelCase` should also use `constexpr` which has its own naming setting
and is correct. With this setting change and making a test variable
`constexpr`, clang-tidy is happy with all the names.
2020-12-08 02:07:06 -08:00
Chandler Carruth 27386db279 Require braces on conditions and loops. (#218)
The rationale and rule for this was added in #194 to the C++ style guide
we are using for Carbon.

I've applied the automated fixes from running `clang-tidy` over all the
code, and then run `clang-format` afterward.

There are a few places where `clang-format` fixed a formatting issue
that snuck through in prior commits. These were rare enough that it
didn't seem worth splitting them out into a separate change.
2020-12-08 02:03:43 -08:00
Chandler CarruthandJon Meow 3995fc2d6c Merge lexer from the toolchain repository. (#213)
The only change here is to update the fuzzer build extension path.

The main original commit message:

> Add an initial lexer. (#17)
>
> The specific logic here hasn't been updated to track the latest
> discussed changes, much less implement many aspects of things like
> Unicode support.
>
> However, this should lay out a reasonable framework and set of APIs.
> It gives an idea of the overall lexer architecture being proposed. The
> actual lexing algorithm is a relatively boring and naive hand written
> loop. It may make sense to replace this with something generated or
> other more advanced approach in the future, getting the implementation
> right was not the primary goal here. Instead, the focus was entirely
> on the architecture, encapsulation, APIs, and the testing
> infrastructure.
>
> The architecture of the lexer differs from "classical" high
> performance lexers in compilers. A high level summary:
>
> -   It is eager rather than lazy, lexing an entire file.
> -   Tokens intrinsically know their source location.
> -   Grouping lexical symbols are tracked within the lexer.
> -   Indentation is tracked within the lexer.
>
> Tracking of grouping and indentation is intended to simplify the
> strategies used for recovery of mismatched grouping tokens, and
> eventually use indentation.
>
> Folding source location into the token itself simplifies the data
> structures significantly, and doesn't lose any fidelity due to the
> absence of a preprocessor with token pasting.
>
> The fact that this is an eager lexer instead of a lazy lexer is
> designed to simplify the implementation and testing of the lexer (and
> subsequent components). There is no reason to expect Carbon to lex so
> many tokens that there are significant locality advantages of lazy
> lexing. Moreover, if we want comparable performance benefits, I think
> pipelining is a much more promising architecture than laziness. For
> now, the simplicity is a huge win.
>
> Being eager also makes it easy for us to use extremely dense memory
> encodings for the information about lexed tokens. Everything is
> created in a dense array, and small indices are used to identify each
> token within the array.
>
> There is a fuzzer included here that we have run extensively over the
> code, but currently toolchain bugs and Bazel limitations prevent it
> from easily building. I'm hoping myself or someone else can push on
> this soon and enable the fuzzer to at least build if not run fuzz
> tests automatically. We have a significant fuzzing corpus that I'll
> add in a subsequent commit as well.

This also includes the fuzzer whose commit message was:

> Add fuzz testing infrastructure and the lexer's fuzzer. (#21)
>
> This adds a fairly simple `cc_fuzz_test` macro that is specialized for
> working with LLVM's LibFuzzer. In addition to building the fuzzer
> binary with the toolchain's `fuzzer` feature, it also sets up the test
> execution to pass the corpus as file arguments which is a simple
> mechanism to enable regression testing against the fuzz corpus.
>
> I've included an initial fuzzer corpus as well. To run the fuzzer in
> an open ended fashion, and build up a larger corpus:
> ```shell
> mkdir /tmp/new_corpus
> cp lexer/fuzzer_corpus/* /tmp/new_corpus
> ./bazel-bin/lexer/tokenized_buffer_fuzzer /tmp/new_corpus
> ```
>
> You can parallelize the fuzzer by adding `-jobs=N` for N threads. For
> more details about running fuzzers, see the documentation:
> http://llvm.org/docs/LibFuzzer.html
>
> To minimize and merge any interesting new inputs:
> ```shell
> ./bazel-bin/lexer/tokenized_buffer_fuzzer -merge=1 \
>     lexer/fuzzer_corpus /tmp/new_corpus
> ```

Co-authored-by: Jon Meow <46229924+jonmeow@users.noreply.github.com>
2020-12-08 01:49:25 -08:00