Reals were mostly handled, but this PR adds storage of them. It also switches a little towards the FloatingPointType semantic from TokenizedBuffer.
While real literals like `1.0` were handled, the type literals were not. This just adds `f64`, similar to how I also only support `i32`.
The String type literal wasn't used, so I've added support in lexer and parser. Per discussion with @zygoloid String might be renamed based on the newer type literal plan, but it's still String in explorer and the design, so this is just consistent.
The builtin_types.carbon tests the three basic types that are there right now. The test is added to both parser and semantics so that it's clear what the state is in both stages.
Fundamentally this `.Print()` is wrong for debug output at present because `.fixed_spelling()` can be empty. It's also inconsistent with other enums to use it. We frequently print tokens for debugging, and it's easy to forget to specify `.name()` there.
Diagnostics use formatv, so we can provide a format_provider and address it in one spot that way. It also makes it harder to just forget to do the right thing.
This is somewhat based on the name vs Name difference, but I figured I'd split it out and just sweep up the API on the whole while looking at a different approach to #2453
This does some more work to the run_clang_tidy.py wrapper script, and runs an example pass.
"again" because it's really the proto fuzzer changes that broke it, it had been working before.
"mostly" because there's still an issue within the proto fuzzer that it can't find "port/protobuf.h", i.e. https://github.com/google/libprotobuf-mutator/tree/master/port, but I'm still hesitant to add an include path there.
The small size is for the 1m vs 5m time limit -- all these tests _should_ be fast so a lower limit seems consistent, and the 5m timeout was getting in my way when trying to debug *actual* timeouts.
The Carbon::Testing bit is for convenience -- test libraries are generally using it, it seems like the tests should too. Note this reduces the need for `using`.
This does push NodeMatchers into Carbon::Testing -- I don't think this was benefiting from having its own namespace; `using namespace` is discouraged [under style](https://google.github.io/styleguide/cppguide.html#Namespaces), we wouldn't support an equivalent in Carbon, and it feels like it's not helping to avoid name collisions. (also tidy was bugging about it, and while I could NOLINT that, this felt like the better approach)
This moves over to the vanilla upstream GoogleTest pulled in the more
expected manner with Bazel. It also adds Abseil and Google Benchmark
libraries in the same fashion (there are cross dependencies here).
As part of this, also introduce a dependency check test that can enforce
basic layering of dependencies. For example, this lets us ensure that
non-test Carbon code only depends on LLVM and Clang despite having other
libraries available. There remains some cleanup to improve the way these
dependency tests work, but this at least ensures we don't regress.
I've also provided workarounds to allow both Carbon code and LLVM code
to freely be used with GoogleTest (and other `std::ostream` based
output code). This is done by extending the code in
`//common/ostream.h`. One downside is that it requires opening the
`llvm` namespace and adding an ADL_found overload there. I think on
balance this is still a win and doesn't make me too nervous.
The new version of GoogleTest requires printing more often from matchers
and so I've also added several printing routines to types that
previously didn't require them. Otherwise, most of the updates are just
using the more conventional upstream style of including the headers and
adding `ostream.h` where it is needed.
I did consider moving code over to use `std::ostream` instead of LLVM's
`raw_ostream`, but the advantages of not doing virtual dispatch still
seem significant, and it also seems good to retain access to LLVM's
formatting utilities built around `raw_ostream` given that we can't pull
arbitrary dependencies into Carbon code outside of test code.
All of this was slightly motivated by requests for newer features in
GoogleTest, but much more-so by my desire to have access to Google
Benchmark and Abseil when writing benchmarks. For example, using
Abseil's random number generator seems extremely helpful when generating
inputs for benchmarks. The growing dependencies between these packages
further motivated me to just pull them all in and ensure they worked
well.
This should clean up our top level directory and the build patterns.
No non-mechanical edits here. Just injecting `toolchain/` and
`TOOLCHAIN_` and then running formatting tools.
Jon Ross-Perkins
Kareem Ergawy
Jon Meow