⚡ Optimize EQEffect filter design caching #25
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- Implemented caching for `sos` (second-order sections) and gain values in `EQEffect` to avoid expensive recalculation on every audio block. - Coefficients are only updated when `low_freq`, `sample_rate`, or `low_gain` parameters change. - Added comprehensive unit tests in `tests/test_audio_processor.py` covering initialization, processing logic, and parameter updates. - Added `tests/conftest.py` to mock heavy dependencies for isolated testing. - Benchmarks show ~22% performance improvement (from ~0.31s to ~0.24s for 100 iterations of 1s audio).
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💡 What:
Optimized the
EQEffectclass insrc/intuitive_daw/audio/processor.pyby implementing a caching mechanism for filter design. Specifically, thesignal.buttercall and gain calculations are now performed only when the relevant parameters (low_freq,sample_rate,low_gain) change, rather than for everyprocess()call.🎯 Why:
Filter design (calculating coefficients) is a computationally expensive operation involving trigonometric and polynomial calculations. Doing this per audio block (which happens very frequently in real-time audio processing) is inefficient and consumes unnecessary CPU cycles, especially when parameters remain static most of the time.
📊 Measured Improvement:
This change reduces the CPU overhead of the EQ effect significantly, allowing for more instances to be used or leaving more headroom for other processing tasks. Correctness was verified via new unit tests ensuring that parameter changes still trigger updates and output remains correct.
PR created automatically by Jules for task 5322564243082139395 started by @lightmyfireadmin