prosolis 06b98d4b47 Price cycles in the mode decision: 37 misses become 1, for 0.26 dB
The decoder has been CPU-bound since FINDINGS 28 while the mode decision
minimised D + lam*R -- distortion against BYTES. decide() now minimises
D + lam*bytes + mu*cycles, and ratectl bisects mu per frame against the
833,333-cycle budget with the lam bisection nested inside it. On the worst
sustained window:

  sasi  27.22 -> 26.95 dB, 109.5 -> 109.4 KB/s, 37/120 misses -> 1
  scsi  29.90 -> 29.27 dB, 280.0 -> 278.6 KB/s, 51/120 misses -> 1

Bitrate does not move: the byte controller still binds, and mu changes WHICH
modes are bought. V4 is what it stops buying -- 25.2 -> 20.3% of blocks at sasi
and 15.0 -> 5.3% at scsi, where RAW takes it. That is 28.8's inversion in
practice: RAW is dearer in bytes and cheaper in cycles, so only the byte-rich
profile can buy its way out of V4.

Three things worth knowing beyond the headline:

  - The one frame that still misses, at both profiles, is FRAME 0 -- no previous
    reconstruction, so 100% changed by definition, which is also what a scene
    cut is. It comes out at the all-V1 floor of 110.6% and is emitted late on
    purpose. Freezing a cut to make a deadline is the worse failure.
  - 28.7's "11 frames are impossible" was too pessimistic. That floor held the
    SKIP set fixed and asked how cheaply the drawn blocks could be drawn; the
    real decision can also MOVE a block to SKIP, which above ~90% non-SKIP is
    the only lever left.
  - SKIP's price depends on its neighbours (13.25 cycles clustered, 45 mixed),
    which a per-block lagrangian cannot see. The way out is that the two uses
    need not share a cost function: a ranking constant inside decide(), the
    exact clustered rule for the frame-level bisection. vq_hybrid.cycles() is
    now the one definition of that rule and 11_cpu_budget.py imports it.

Gated: 09_ratectl_drift.py runs both controllers, both 0/120 drifting frames.
The cost-aware container decodes pixel-exact on the 68000 (120 frames). ON by
default in encode.py; --no-cpu-fit restores session 7. check.sh ALL GREEN.

Still a model, not a measurement, for THIS container: FINDINGS 31's cycle
figures come from vq_hybrid.cycles (within 1 point of the 68000 on four frames
of the session-7 container). Timing this one on the machine is step 1 of the
next session -- it was started and killed for time, and it is slow.

FINDINGS 31. tools/analysis/13_cpu_ratectl.py.

Claude-Session: https://claude.ai/code/session_01194oWYW8DQXK1SZ2DnChW6
2026-08-23 16:24:22 -07:00

Dragon's Lair — Sharp X68000 port

Porting Dragon's Lair to a stock X68000 (68000 @ 10MHz, 2MB, SASI/SCSI).

This is fundamentally a video codec problem, not a game-logic problem: the game logic is a scene table with branching input windows; the difficulty is pushing ~22 minutes of Don Bluth animation through a 10MHz 68000.

Green-light check: ./tools/bench/check.sh (~3 min, needs the Blu-ray mounted) re-runs both display regression tests, the rate-control drift test, the display-path coherency counterexample and a 120-frame 68000 decode, then prints ALL GREEN.

Read first

  • docs/FINDINGS.md — measured hardware facts, content statistics, codec decision, and a section on measurement traps that produced three separate false results. Read §4 before trusting any pipeline number.
  • docs/STATUS.md — current state, working setup, blockers, next steps. Start here. It also lists what has been explicitly abandoned, so old ideas do not get re-proposed.
  • docs/BENCHMARK.md — how to measure the storage subsystem, and why a bandwidth figure out of MAME would be meaningless.
  • docs/HARDWARE.md — X68000 GVRAM/CRTC reference.

Layout

docs/            findings, status, hardware reference
tools/analysis/  measurement scripts, numbered in the order they were written
                 (01/02 marked BROKEN deliberately, kept as regression refs).
                 Run from the repo root — they import from tools/encoder/.
                 07 finds the hottest sustained window in a stream; 08 renders
                 source | decoded | block-mode map as .webm; 09 is the
                 rate-control drift gate (FINDINGS 26/27) and is part of
                 check.sh -- it exits non-zero if the encoder ever again
                 reports a reconstruction no decoder would produce.
                 10 is a COUNTEREXAMPLE, and exits non-zero by design: it
                 demonstrates that the two-display-path plan of FINDINGS
                 24.5/25.6 corrupts 70 of 120 frames (FINDINGS 28.1).
                 11 scores a container against the MEASURED per-mode block
                 costs without needing MAME; 12 prices the literal-span mode of
                 FINDINGS 30 against those same mode maps, and prints whether a
                 scene cut still fits at 12fps; 13 measures what fitting the
                 CPU budget costs in dB (FINDINGS 31) and caches H.build so the
                 search loop is seconds, not minutes.
tools/bench/     MAME Lua injection harness + 68000 benchmark sources.
                 `check.sh` re-runs both display regression tests (~40 s).
                 `blit.s`/`blit.lua` time the full-frame GVRAM blit on the
                 68000 itself (FINDINGS 24) — not part of check.sh, because
                 wall timings would make the green-light check host-sensitive.
                 `span.sh` (prep_spans.py + span.lua + blit.s v5/v6) measures
                 the literal-span mode the same way (FINDINGS 30, ~25 s); it
                 also asserts all 23 timing configs drew a pixel-exact frame.
                 `crtc_mode.lua` is the single source of truth for CRTC R00-R08
                 and R20 — do not write CRTC values anywhere else.
                 `prep_dlx.py`/`decode.lua`/`verify_decode.py` load, time and
                 verify `src/player/decode.s`; the verify pass is in check.sh.
tools/vasm/      vasm m68k assembler (built from source)
tools/encoder/   hybrid VQ encoder + DLX1 container writer (working).
                 dlx.py is the reference DECODER -- ground truth for the 68000.
src/player/      decode.s: the 68000 DLX1 decoder. Pixel-exact, and 31% of
                 frames over the 12fps CPU budget. See FINDINGS 28.
assets/          extracted frames/audio (gitignored)

Encoder

python3 tools/encoder/extract.py 00020 /tmp/fr 12 crop
python3 tools/encoder/encode.py  /tmp/fr out.dlx --profile sasi --preview p.png

Two quality profiles ship from one codec and one decoder — sasi (110 KB/s) and scsi (280 KB/s) are two points on the same rate-distortion curve. Both are ceilings: lam is bisected per frame under a leaky bucket, so the profile's lam is a quality floor rather than a setting (--fixed-lam opts out).

There are two ceilings, on two different axes. The second is the 68000's decode budget: mu is bisected per frame against 833,333 cycles so the frame also decodes in time, which takes the worst sustained window from 37 frames over budget to 1 for 0.26 dB (FINDINGS 31). It is on by default; --no-cpu-fit restores session 7 behaviour. Unlike bytes, cycles have no bucket — there is no double buffer to decode ahead into, so it is a hard per-frame ceiling. The codec is a Cinepak-style hybrid: each 4x4 block is coded as SKIP, one 4x4 codeword, four 2x2 codewords, or RAW literal pixels, chosen per block by rate-distortion.

The RAW escape means lam=0 is pixel-exact against the palettised frame, so the quality knob spans lossless to heavily-compressed without changing the bitstream.

Profiles are derived from a bandwidth figure, not chosen by eye:

python3 tools/encoder/profile_gen.py --bw-mbps 4 --name scsi

On reading docs/FINDINGS.md: it is append-only and several later sections overturn earlier ones. Superseded sections carry a blockquote at the top pointing to the correction — heed those, especially 18 (reversed by 21).

Source media (DRAGONS_LAIR.iso) and ROMs are gitignored — supply your own.

Not every large stream is game footage. 00216 is the feature with a burned-in commentary picture-in-picture and 00215 is the commentary itself — the two largest files on the disc. The clean 9.4-minute animation is 00223. See FINDINGS 25.1 before running any size-ranked survey.

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