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teamchong
c6a0d61f00
- 3 tiers: facts-at-depth w/ distractors (50), hard near-miss distractors on 45k-char sessions (30), 3x-mutated state tracking (18); 16 unanswerable confabulation guards. claude-fable-5, real production renderer, exact-match grading, no LLM grader. - text 98/98, image 98/98, 0 wrong, 0 confabulated UNKNOWNs in either arm - README benchmark table + FINDINGS dated update; PNGs gitignored, probes/results.jsonl committed as receipts
13 lines
802 B
JavaScript
13 lines
802 B
JavaScript
// Render each session txt to PNGs at the proxy's production density.
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import { renderTextToPngsWithCharLimit, DENSE_CONTENT_COLS, DENSE_CONTENT_CHARS_PER_IMAGE, DENSE_RENDER_STYLE } from '../../dist/core/render.js';
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import { readFileSync, writeFileSync } from 'node:fs';
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let tok = 0, pages = 0;
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for (let s = 0; s < 10; s++) {
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const text = readFileSync(`work2/s${s}.txt`, 'utf8');
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const imgs = await renderTextToPngsWithCharLimit(text, DENSE_CONTENT_COLS, DENSE_CONTENT_CHARS_PER_IMAGE, DENSE_RENDER_STYLE);
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imgs.forEach((im, i) => writeFileSync(`work2/s${s}_p${i}.png`, im.png));
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pages += imgs.length;
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tok += imgs.reduce((a, im) => a + Math.round(im.width * im.height / 750), 0);
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}
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console.log(`rendered ${pages} pages, ~${tok} img tokens total (vs ~${Math.round(10*15900/4)} text tokens)`);
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