Debug trait and its auto implementation

[xunilrj]

Description

This PR implements the __dbg(...) intrinsic, which is very similar to Rust dbg!(...) macro.

Up until now, it has being the norm to use __log to debug values. Given that this is NOT the first use case for log, we have always found some issues with it: log does not work on predicates, log does not show "private" fields like Vec::capacity and others.

To solve these problems __dbg is being introduced:
1 - it will work on all program types, including predicates;
2 - it also prints the file name, line and column;
3 - All types will have an automatic implementation of Debug if possible, which can still be customized.
4 - Even raw_ptr and other non "loggable" types, have Debug impls.
5 - __dbg will be completely stripped in the release build by default. It can be turned on again if needed.

So this:

// Aggregates
let _ = __dbg((1u64, 2u64));
let _ = __dbg([1u64, 2u64]);

// Structs and Enums
let _ = __dbg(S { });
let _ = __dbg(E::None);
let _ = __dbg(E::Some(S { }));

will generate this:

[src/main.sw:19:13] = (1, 2)
[src/main.sw:20:13] = [1, 2]
[src/main.sw:23:13] = S { }
[src/main.sw:24:13] = None
[src/main.sw:25:13] = E(S { })

How does this work?

__dbg(value) intrinsic is desugared into { let f = Formatter{}; f.print_str(...); let value = value; value.fmt(f); value }.

Formatter is similar to Rust's one. The difference is that we still do not support string formatting, so the Formatter has a lot of print_* functions.

And each print function calls a "syscall". This syscall uses ecal under the hood and it follows unix write syscall schema.

// ssize_t write(int fd, const void buf[.count], size_t count);
fn syscall_write(fd: u64, buf: raw_ptr, count: u64) {
    asm(id: 1000, fd: fd, buf: buf, count: count) {
        ecal id fd buf count;
    }
}

For that to work, the VM interpreter must have its EcalState setup and interpret syscall number 1000 as write. This PR does this for forc test and our e2e test suite.

Each test in forc test will capture these calls and only print to the terminal when requested with the --log flag.

Garbage Collector and auto generated

Before, we were associating all auto-generated code with a pseudo file called "<autogenerated>.sw" that was never garbage collected.

This generated a problem inside the LSP when the auto_impl.rs ran a second time because of a collision in the "shareable type" map. When we try to solve this collision, choosing to keep the old value or to insert the new, the type inside the map points to already collected types and the compiler panics. This is a known problem.

The workaround for this is to break the auto-generated code into multiple files. Now they are named "main.autogenerated.sw", for example. We create one pseudo-file for each real file that needs one.

When we garbage collect one file, main.sw, for example, we also collect its associated auto-generated file.

Checklist

• I have linked to any relevant issues.
• I have commented my code, particularly in hard-to-understand areas.
• I have updated the documentation where relevant (API docs, the reference, and the Sway book).
  • If my change requires substantial documentation changes, I have requested support from the DevRel team
• I have added tests that prove my fix is effective or that my feature works.
• I have added (or requested a maintainer to add) the necessary Breaking* or New Feature labels where relevant.
• I have done my best to ensure that my PR adheres to the Fuel Labs Code Review Standards.
• I have requested a review from the relevant team or maintainers.

[codspeed-hq]

CodSpeed Performance Report

Merging #7015 will degrade performances by 58.31%

_{Comparing xunilrj/dbg-and-debug (ff98359) with master (f607a67)}

Summary

❌ 4 regressions
✅ 18 untouched benchmarks

⚠️ Please fix the performance issues or acknowledge them on CodSpeed.

Benchmarks breakdown

	Benchmark	BASE	HEAD	Change
❌	compile	3.8 s	5.1 s	-26.48%
❌	traverse	48.6 ms	116.6 ms	-58.31%
❌	code_action	7.2 ms	8.4 ms	-14.46%
❌	hover	3.7 ms	4.9 ms	-22.79%

[xunilrj]

Before my optimisations/Now:
traverse: 230.9 ms/116.6 ms
code_action: 28.3 ms/8.4 ms

[zees-dev]

Great work here; much needed functionality; LGTM 🚀