2388: Show missing struct fields in the error message r=matklad a=Frizi
This provides the most interesting information about the "missing structure fields" error directly to the user.
Co-authored-by: Frizi <frizi09@gmail.com>
2362: Expand compile_error! r=edwin0cheng a=kjeremy
Does not validate that the input is a string literal. I thought that I could `match_ast!` against the `macro_args` but that did not work. Even if it had I am not sure which error would be appropriate.
Co-authored-by: Jeremy Kolb <kjeremy@gmail.com>
2392: Fix panic during the expansion of `column!` r=edwin0cheng a=marcogroppo
Fixes#2379. Well, this isn't the "proper" fix but it doesn't hurt, IMHO.
The problem is that `to_col_number`, called by `column_expand`, receives a position number that isn't included in the text range of the file. My (very limited) understanding is that the text is the one of the original file, while `pos` is relative to something else, probably the text of the macro. Notice that in this case the `column!` expansion seems to be triggered by `assert_eq!`, so we're in the middle of another expansion. This PR simply avoids the panic by checking the length of the text.
r? @edwin0cheng
Co-authored-by: Marco Groppo <marco.groppo@gmail.com>
2396: Switch to variant-granularity field type inference r=flodiebold a=matklad
r? @flodiebold
Previously, we had a `ty` query for each field. This PR switcthes to a query per struct, which returns an `ArenaMap` with `Ty`s.
I don't know which approach is better. What is bugging me about the original approach is that, if we do all queries on the "leaf" defs, in practice we get a ton of queries which repeatedly reach into the parent definition to compute module, resolver, etc. This *seems* wasteful (but I don't think this is really what causes any perf problems for us).
At the same time, I've been looking at Kotlin, and they seem to use the general pattern of analyzing the *parent* definition, and storing info about children into a `BindingContext`.
I don't really which way is preferable. I think I want to try this approach, where query granularity generally mirrors the data granularity. The primary motivation for me here is probably just hope that we can avoid adding a ton of helpers to a `StructField`, and maybe in general avoid the need to switch to a global `StructField`, using `LocalStructFieldId` most of the time internally.
For external API (ie, for `ra_ide_api`), I think we should continue with fine-grained `StructField::ty` approach, which internally fetches the table for the whole struct and indexes into it.
In terms of actual memory savings, the results are as follows:
```
This PR:
142kb FieldTypesQuery (deps)
38kb FieldTypesQuery
Status Quo:
208kb TypeForFieldQuery (deps)
18kb TypeForFieldQuery
```
Note how the table itself occupies more than twice as much space! I don't have an explanation for this: a plausible hypothesis is that single-field structs are very common and for them the table is a pessimisation.
THere's noticiable wallclock time difference.
Co-authored-by: Aleksey Kladov <aleksey.kladov@gmail.com>
2381: Add proc-macro crate type handling r=JasperDeSutter a=JasperDeSutter
Resolves the libproc_macro crate in crates that are the proc-macro type.
This doesn't seem the ideal implementation though, since the compiler still requires you to write `extern crate proc_macro;` (even in 2018 edition).
Co-authored-by: JasperDeSutter <jasper.desutter@gmail.com>
2383: Add alloc to the crate graph r=matklad a=marcogroppo
`alloc` has been added to the crate graph.
Completions work, but they are available even when the user has **not** declared an `extern crate alloc`. Is this the correct approach?
Fixes#2376.
Co-authored-by: Marco Groppo <marco.groppo@gmail.com>
