Adds scripts/visual-parity.sh (`just visual-parity`): launches the installed Ghostty 1.3.1 and the Rust build in an isolated headless nested weston (GL renderer, Mesa forced, weston-screenshooter via --debug), with identical isolated config, a deterministic test page (ASCII, ligatures, all SGR styles and underline kinds, 16/256/truecolor, box/block/braille/powerline/nerd icons, CJK, emoji, wide chars, cursor) and a tabs+splits scenario driven through Xwayland, then diffs the captures (terminal area and chrome separately, heatmaps). Fixes found by comparing against the original: - A pane stayed blank after a nested split: the GTK render path called draw_frame(false) where Ghostty uses drawFrame(true) (a re-realized GLArea has a new swap chain that nothing else redraws). - Sprite glyph antialiasing now ports z2d's default 4x4 multisample rasterizer instead of tiny-skia's analytic coverage (pixels differing from Ghostty's reference sprite sheets: 5.76% -> 1.20%, none off by more than 96 levels); the sheet test tolerance is tightened to 0.1%. Result vs Ghostty 1.3.1: test page 0.020% of pixels differ (196 px at curly-underline ends and diagonal box strokes, max delta 86 levels); tabs+splits and headerbar/tab bar are bit-identical. Details in docs/rewrite/notes/visual-parity-VP.md. Test Plan: - just visual-parity (needs weston, weston-screenshooter, xdotool) - cargo test -p ghostty-font (sprite sheet comparison)
55 lines
1.7 KiB
Python
Executable File
55 lines
1.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Pixel compare two PNG captures: stats + diff heatmap.
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usage: compare.py REF.png RUST.png DIFF.png [--crop x,y,w,h] [--name NAME]
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Prints one line: name, size, differing pixels (%), >8 / >32 levels, max delta, mean delta.
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"""
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import sys
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import numpy as np
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from PIL import Image
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def main():
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a = sys.argv[1:]
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crop = None
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name = "all"
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pos = []
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i = 0
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while i < len(a):
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if a[i] == "--crop":
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crop = tuple(int(v) for v in a[i + 1].split(","))
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i += 2
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elif a[i] == "--name":
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name = a[i + 1]
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i += 2
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else:
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pos.append(a[i])
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i += 1
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ref = Image.open(pos[0]).convert("RGB")
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rs = Image.open(pos[1]).convert("RGB")
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if crop:
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x, y, w, h = crop
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ref, rs = ref.crop((x, y, x + w, y + h)), rs.crop((x, y, x + w, y + h))
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if ref.size != rs.size:
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print(f"{name}: SIZE MISMATCH {ref.size} vs {rs.size}")
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w, h = min(ref.size[0], rs.size[0]), min(ref.size[1], rs.size[1])
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ref, rs = ref.crop((0, 0, w, h)), rs.crop((0, 0, w, h))
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r = np.asarray(ref).astype(int)
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s = np.asarray(rs).astype(int)
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d = np.abs(r - s).max(axis=2)
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n = d.size
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diff = int((d > 0).sum())
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print(
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f"{name}: {ref.size[0]}x{ref.size[1]} differing={diff} ({100*diff/n:.3f}%) "
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f">8={100*(d>8).sum()/n:.3f}% >32={100*(d>32).sum()/n:.3f}% max={d.max()} mean={d.mean():.4f}"
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)
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# heatmap: dimmed reference with differences in red (intensity ~ delta)
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heat = (r * 0.25).astype(np.uint8)
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m = np.clip(d * 4, 0, 255).astype(np.uint8)
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heat[..., 0] = np.maximum(heat[..., 0], m)
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heat[..., 1] = np.where(m > 0, heat[..., 1] // 2, heat[..., 1])
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Image.fromarray(heat).save(pos[2])
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main()
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