Drop the coarse+fine zoom refinement, the SciPy FFT backend, and the
exact= audit path in favor of a single always-on full-transform peak
search (_peak_bins). Block size is now derived from a per-thread memory
budget (_fft_block_for/SRAS_FFT_PLAN_BUDGET_MB) instead of a fixed
constant, so the existing block-parallel PyFFTW pool stays memory-safe
at high pad factors without the zoom algorithm's bookkeeping. Also
removes the now-unused threadpoolctl dependency and the FFT backend
selector from the UI.
Also includes a pre-existing min_freq_mhz peak-search floor (excludes
bins below a caller-supplied frequency from the argmax) that was
already implemented and tested in the working tree.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
The display path hardcoded row_avg_n=0 when checking a file's stored FFT
cache, since the main window has no row-averaging control (only the
batch-only RowAverageFftOptionsDialog). Once a file was batch-computed with
row-averaging, every view switch saw a phantom provenance mismatch and
silently launched a full raw recompute, discarding the precomputed data.
The display now asks for the stored image at the settings it was actually
computed under (bg-sub/pad/row-averaging), rather than the window's live
controls, so a stored or already-computed image is always shown once
present. Those controls now only affect a first-time compute for an
uncached angle or an explicit batch recompute -- never what's already on
screen. DC threshold is unaffected: it stays live, since re-masking a
cached image is free.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>