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Status UIs lean on colour (green ok / red error), but for the ~8% of men with a colour-vision deficiency those can be indistinguishable and nothing could check it. simulate_cvd maps RGB through a dichromat matrix (protan/deuter/tritan) at a severity; colors_collide reports whether two colours become confusable under it. Pure stdlib over RGB tuples, no deps.
…-batch Add cvd_simulate: simulate colour-vision deficiency and flag collisions
…olour set_of_marks draws each numbered label at a fixed offset, so on dense UIs the numbers pile up and a dark label on a dark element vanishes. place_labels does greedy non-overlap placement over a candidate ring, staying in bounds; label_color picks black/white by better WCAG contrast (reusing a11y_audit.contrast_ratio). Pure geometry, fully testable.
…-batch Add marks_layout: non-overlapping Set-of-Marks labels with readable colour
a11y_audit.contrast_ratio grades a known foreground/background pair, but a button or label on screen is a patch of pixels, not two known colours. dominant_pair splits sampled pixels at the mean luminance into the dominant text (minority) and background (majority); grade_contrast grades a pair against WCAG AA/AAA; region_contrast samples a region (injectable sampler) and grades it. Grade + split are pure, reuse contrast_ratio.
…-batch Add contrast_map: grade on-screen text contrast by sampling its colours
match_template correlates raw pixel intensities, so a light-mode template scores terribly against the same control in dark mode (polarity inverted). normalize_theme maps an image to a polarity-invariant single channel (sobel/laplacian gradient magnitude, identical for an image and its inverse) and match_theme normalizes both sides before locating via visual_match.match_template. cv2/numpy imported lazily.
…ize-batch Add theme_normalize: match a light-mode template in dark mode
Up to standards ✅🟢 Issues
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| Metric | Results |
|---|---|
| Complexity | 137 |
| Duplication | 0 |
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Release — ROUND-15 perception lane (part 1)
Four new headless features, each with a pure / injectable-seam core, full 5-layer wiring, headless tests, and EN/Zh docs. All merged to dev with CI green first try.
cvd_simulate(Add cvd_simulate: simulate colour-vision deficiency and flag collisions #442): simulate colour-vision deficiency (protan/deuter/tritan) +colors_collide— are two status colours confusable? Pure stdlib, no numpy/cv2.marks_layout(Add marks_layout: non-overlapping Set-of-Marks labels with readable colour #443):place_labelsgreedy non-overlap Set-of-Marks placement +label_colorcontrast-aware text colour (reusesa11y_audit.contrast_ratio). Pure.contrast_map(Add contrast_map: grade on-screen text contrast by sampling its colours #444):dominant_pair/grade_contrast/region_contrast— sample a region's pixels, split into fg/bg, grade WCAG legibility. Pure core + injectable sampler.theme_normalize(Add theme_normalize: match a light-mode template in dark mode #445):normalize_theme(polarity-invariant gradient image) +match_theme— match a light-mode template in dark mode. cv2 lazy.Package stays Qt-free; all logic unit-tested without the OS/screen via pure cores and injected seams.