⚡ Optimize DelayEffect with vectorized circular buffer

[google-labs-jules]

💡 What:

• Replaced the inefficient np.roll based implementation in DelayEffect._process_impl with a vectorized chunked circular buffer approach.
• Added self.write_pos state to DelayEffect to maintain buffer position across processing blocks.

🎯 Why:

• The previous implementation used np.roll inside a Python loop for every sample, which has O(N*D) complexity (where D is delay length) due to array copying.
• This caused processing to be ~0.45x real-time (slower than playback) for typical settings.

📊 Measured Improvement:

• Baseline: ~11.0s for 5s of audio (0.45x real-time).
• Optimized: ~0.02s for 5s of audio (237x real-time).
• Speedup: >500x.

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PR created automatically by Jules for task 11642518927495931376 started by @lightmyfireadmin

[google-labs-jules]

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