[discussion] Splash design demo (refs #18)#52
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Standalone script that prints one example of each candidate option for the splash design discussion, followed by a layered combination shown at three tunings (subtle / medium / heavy). Options demonstrated: 1. mask + random fill character 2. per-cell jitter 3. pre-designed font pool 4. pyfiglet random font (optional dependency) 5. glitch overlay Supports --seed for reproducible output and --layered to skip the per- option section and only show the three tunings. This is companion material for a design-discussion issue. The script itself isn't intended to ship as part of the actual splash. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This was referenced May 14, 2026
Per discussion on #53: - layered() now picks a random pre-designed banner (Option 3) as its base and perturbs cells while preserving the original glyph for the majority of unjittered cells. Each call produces both a different silhouette AND different texture. - Bumped the three tunings roughly 2x: subtle: 0.05/0.00/0.01 -> 0.10/0.00/0.02 medium: 0.15/0.03/0.03 -> 0.30/0.06/0.06 heavy: 0.30/0.10/0.08 -> 0.60/0.20/0.16 - "heavy" at 0.60/0.20 is intentionally loud; letters may fragment on some banner styles. Open to dialing back per discussion. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
) Two changes bundled because they support the same review goal: - Each option and each layered tuning now prints 5 randomized samples so reviewers can see the full range of variation, not just one arbitrary instance. N_SAMPLES is a single constant if we want to tune that. - Heavy tuning dialed from 0.60/0.20/0.16 to 0.40/0.10/0.10. The prior values were destroying letter silhouette on the larger banners; this keeps the silhouette legible while still feeling loud. drop_density is the lever that hurts legibility most, so it drops more than jitter. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Summary
Adds
demo_splash.py, a standalone script that prints one example of each candidate stochastic splash option, plus a layered combination at three tunings. Companion to the splash-design discussion in the sibling issue.This PR is meant to support the design discussion, not necessarily to merge as-is. Whether it merges depends on whether we want to keep the demo script as a long-lived comparison tool or remove it once the design choice is made.
How to view
Option 4 (pyfiglet) needs
pip install pyfiglet— otherwise its section prints a note and the others still run.Notes
RLM_MASK. Easy to tweak — kerning, weight, etc.🤖 Generated with Claude Code