[turbopack] Use `ast_path.kinds()` instead of mapping over `ast_path` in the analyzer (#94221)
@lukesandberg and I were looking at the call stack for the analyzer this
morning and we talked about how we appeared to be spending a lot of time
calculating the kind of each node's parent, see:
<img width="939" height="291" alt="Screenshot 2026-05-29 at 12 24 41 AM"
src="https://github.com/user-attachments/assets/1f9d2c02-0a49-4e33-8107-626791e85ba1"
/>
Interestingly, SWC also appears to be calculating this information based
on the call stack. And it appears that SWC's [`AstNodePath`'s `kinds()`
method](https://rustdoc.swc.rs/swc_common/pass/struct.AstNodePath.html#method.kinds)
is a pre-computed version of what we were computing. This PR switches us
to using that method to see if there any potential performance benefits.
I think I need a little bit of help benchmarking this more but running:
```
cargo bench --manifest-path /Users/sampoder/dev/next.js/Cargo.toml -p turbopack-ecmascript --bench analyzer -- --baseline orig 'create_graph/(peg|react-dom-production|md5)'
```
First on the branch without this switch, and then on this branch
suggests improvements:
```
analyzer/create_graph/md5
time: [109.87 µs 110.24 µs 110.59 µs]
change: [-3.3365% -2.7341% -2.1580%] (p = 0.00 < 0.05)
Performance has improved.
analyzer/create_graph/peg
time: [1.3740 ms 1.3813 ms 1.3887 ms]
change: [-8.4332% -7.7685% -7.1580%] (p = 0.00 < 0.05)
Performance has improved.
analyzer/create_graph/react-dom-production
time: [2.9095 ms 2.9319 ms 2.9553 ms]
change: [-17.616% -16.642% -15.677%] (p = 0.00 < 0.05)
Performance has improved.
Found 7 outliers among 100 measurements (7.00%)
7 (7.00%) high mild
analyzer/create_graph/md5-reduced
time: [26.658 µs 26.725 µs 26.794 µs]
change: [-5.7610% -5.2585% -4.7925%] (p = 0.00 < 0.05)
Performance has improved.
Found 4 outliers among 100 measurements (4.00%)
3 (3.00%) high mild
1 (1.00%) high severe
analyzer/create_graph/md5_2
time: [109.99 µs 110.30 µs 110.64 µs]
change: [-9.0036% -8.5102% -8.0469%] (p = 0.00 < 0.05)
Performance has improved.
Found 3 outliers among 100 measurements (3.00%)
3 (3.00%) high mild
```