logiguard fork v2: patched GPUI on verified 8c74db0 tree

Rebuilt from the exact zed-industries/zed @ 8c74db00c4053d6c0a9037863d7bd048658da4ca
tree (previous orphan was based on a stale/wrong fetch). Same 3-file patch:
  - serial.rs: add SerialKind::KeyboardEnter
  - client.rs: store wl_keyboard.enter serial; add latest_serial_of()
  - window.rs: activate() uses keyboard-enter serial (Mutter focus gate)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

crates/denoise/README.md

@@ -0,0 +1,20 @@
+Real time streaming audio denoising using a [Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression](https://arxiv.org/abs/2005.07551).
+
+Trivial to build as it uses the native rust Candle crate for inference. Easy to integrate into any Rodio pipeline.
+
+```rust
+    # use rodio::{nz, source::UniformSourceIterator, wav_to_file};
+    let file = std::fs::File::open("clips_airconditioning.wav")?;
+    let decoder = rodio::Decoder::try_from(file)?;
+    let resampled = UniformSourceIterator::new(decoder, nz!(1), nz!(16_000));
+
+    let mut denoised = denoise::Denoiser::try_new(resampled)?;
+    wav_to_file(&mut denoised, "denoised.wav")?;
+    Result::Ok<(), Box<dyn std::error::Error>>
+```
+
+## Acknowledgements & License
+
+The trained models in this repo are optimized versions of the models in the [breizhn/DTLN](https://github.com/breizhn/DTLN?tab=readme-ov-file#model-conversion-and-real-time-processing-with-onnx). These are licensed under MIT.
+
+The FFT code was adapted from Datadog's [dtln-rs Repo](https://github.com/DataDog/dtln-rs/tree/main) also licensed under MIT.