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teamchong
f9a8d71f93
After the new atlas geometry (CELL_W=5, CELL_H=8, LINES_PER_IMAGE=195,
MaxCharsPerImage(100)=19500) and the WIP shrinkWidth=true default in
transformRequest, a single 100-col image now holds ~19.5k chars of dense
ASCII at cpt=4 (vs ~15.6k previously). Combined with the gate hoisting
the width-shrink before prediction, the existing test fixtures (which
mostly used 'a'.repeat(N) with no newlines) now compress profitably at
every length above MIN_COMPRESS_CHARS=2000.
Per user direction ("use the actual gate function to compute new
expected values", "prefer rewrite over delete unless premise is
genuinely gone"):
- render.test.ts: 19 isCompressionProfitable() expectations rewritten.
Numeric-literal callers (which used a removed back-compat overload)
converted to 'a'.repeat(N) strings. Per-test comments updated to
describe the new break-even framing under MaxCPI(100)=19500. Real-shape
regression fixtures (PRODUCTION_SLAB_135H_DENSE, 169H_HEAVY) now
ACCEPT under the larger atlas; comments note the conservative-side
shift no longer rejects these dense shapes.
- history.test.ts: 5 expectations rewritten. The amortized-horizon and
prior-warm-tokens gates no longer reject at the historical fixture
sizes because image side cost has dropped well below text side cost
even at cpt=4.5. Reasons updated from 'not_profitable' to 'collapsed'
where the gate now collapses cleanly; amort() and cold() calls flipped
from .toBe(false) to .toBe(true) with rationale.
src/ untouched. Final count: 315 passed, 7 skipped, 0 failed (was 24 failing).
npx vitest run: 100% green.