projection sensitive to "mode" (most importantly, trans vs middle).
This commit introduces several pieces of iteration infrastructure in the
specialization graph data structure, as well as various helpers for
finding the definition of a given item, given its kind and name.
In addition, associated type projection is now *mode-sensitive*, with
three possible modes:
- **Topmost**. This means that projection is only possible if there is a
non-`default` definition of the associated type directly on the
selected impl. This mode is a bit of a hack: it's used during early
coherence checking before we have built the specialization
graph (and therefore before we can walk up the specialization
parents to find other definitions). Eventually, this should be
replaced with a less "staged" construction of the specialization
graph.
- **AnyFinal**. Projection succeeds for any non-`default` associated
type definition, even if it is defined by a parent impl. Used
throughout typechecking.
- **Any**. Projection always succeeds. Used by trans.
The lasting distinction here is between `AnyFinal` and `Any` -- we wish
to treat `default` associated types opaquely for typechecking purposes.
In addition to the above, the commit includes a few other minor review fixes.
- Rewrites the overlap checker to instead build up a specialization
graph, checking for overlap errors in the process.
- Use the specialization order during impl selection.
This commit does not yet handle associated types correctly, and assumes
that all items are `default` and are overridden.
This PR changes the `emit_opaque` and `read_opaque` methods in the RBML library to use a space-efficient binary encoder that does not emit any tags and uses the LEB128 variable-length integer format for all numbers it emits.
The space savings are nice, albeit a bit underwhelming, especially for dynamic libraries where metadata is already compressed.
| RLIBs | NEW | OLD |
|--------------|--------|-----------|
|libstd | 8.8 MB | 10.5 MB |
|libcore |15.6 MB | 19.7 MB |
|libcollections| 3.7 MB | 4.8 MB |
|librustc |34.0 MB | 37.8 MB |
|libsyntax |28.3 MB | 32.1 MB |
| SOs | NEW | OLD |
|---------------|-----------|--------|
| libstd | 4.8 MB | 5.1 MB |
| librustc | 8.6 MB | 9.2 MB |
| libsyntax | 7.8 MB | 8.4 MB |
At least this should make up for the size increase caused recently by also storing MIR in crate metadata.
Can this be a breaking change for anyone?
cc @rust-lang/compiler
With this commit, metadata encoding and decoding can make use of thread-local encoding and decoding contexts. These allow implementers of `serialize::Encodable` and `Decodable` to access information and
datastructures that would otherwise not be available to them. For example, we can automatically translate def-id and span information during decoding because the decoding context knows which crate the data is decoded from. Or it allows to make `ty::Ty` decodable because the context has access to the `ty::ctxt` that is needed for creating `ty::Ty` instances.
Some notes:
- `tls::with_encoding_context()` and `tls::with_decoding_context()` (as opposed to their unsafe versions) try to prevent the TLS data getting out-of-sync by making sure that the encoder/decoder passed in is actually the same as the one stored in the context. This should prevent accidentally reading from the wrong decoder.
- There are no real tests in this PR. I had a unit tests for some of the core aspects of the TLS implementation but it was kind of brittle, a lot of code for mocking `ty::ctxt`, `crate_metadata`, etc and did actually test not so much. The code will soon be tested by the first incremental compilation auto-tests that rely on MIR being properly serialized. However, if people think that some tests should be added before this can land, I'll try to provide some that make sense.
r? @nikomatsakis
With this commit, metadata encoding and decoding can make use of
thread-local encoding and decoding contexts. These allow implementers
of serialize::Encodable and Decodable to access information and
datastructures that would otherwise not be available to them. For
example, we can automatically translate def-id and span information
during decoding because the decoding context knows which crate the
data is decoded from. Or it allows to make ty::Ty decodable because
the context has access to the ty::ctxt that is needed for creating
ty::Ty instances.