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Victor KuznetsovandClaude Opus 5
4855586834
Each Haar pass is one flat pywt.downcoef call over a raveled strip instead of pywt.dwt(..., axis=1)[0], and the plane is walked in strips so no full-plane float64 intermediate exists. Exact only while the last axis is even, so _approximation raises on an odd width rather than returning wrong bits, and TestRaveledHaarPass pins both that raise and the downcoef/dwt equivalence a pywt upgrade could take away. Drops the block constructor knob: the fold chains are written for 4, nothing ever passed another value, and a knob that silently decodes wrong is worse than no knob. Peak RSS 111 MB to 21 MB on a 4.3 MP image; the decoder itself 0.011s to 0.007s, which is only 0.4% of identify() now that it is under 2% of the run. Output bits and detector verdicts over 200 sampled data/ images, two synthesized carriers and eight degenerate shapes are byte-identical to the pre-vectorization decoder. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>