re: the trailing data table is a per-phase TIMELINE of scheduled routines
Decodes the table found at the end of every phase region. Layout:
int N
N x [ int offset ; float t ; int kind ] -- 8-byte typed records,
tag 0x19 int, 0x1A float
1 + 3N matches the record count in every phase measured (Stage 02: 76/40/55
records for N = 25/13/18).
Checks, all independent of each other:
schedule entries disc-wide 675
0x1A float records disc-wide 675 (counted by a different route)
offsets landing on the instruction stream 675/675 = 100.0%
control, random 4-aligned offsets 33.3%
The floats are seconds -- 0, 0.5, 1, 4, 5, 30, 50, 60, 90, 120, 150, 170, 180, 210,
240, 270, 300, 330, 360, 420, 570, 1020, 1080, 1140, 1170 -- and the targets are small
one-shot coroutines that set arguments, call one built-in and end_coroutine. kind is
0 (556) or 5 (119) and is not identified.
Runtime cross-check, recorded as consistency rather than confirmation: the closed
REMAINING OB work measured Stage 02's squadron arrivals at t = 0, 120 and 210 s over
n=5 emulator runs, and all three appear in phase 1's static schedule, with 120 and 210
each appearing TWICE. These are round numbers and phase 1 has ~22 distinct times over
0-1170, so presence alone is not unlikely; the doubling is the sharper detail and was
not predicted in advance.
New artefacts data/isl-stage02-schedule.txt and data/isl-schedule-all.txt with a
committed generator (isl_report.py schedule). calls, phase-ends, conditions and
phase-guards all regenerate byte-identical.
Not settled and said so: kind is unread; the consumer is unread, so the decode rests
on the structural checks above; whether the clock is per-phase or per-mission is an
inference from the layout; and this is NOT what starts the unreachable code -- 0 of
the 675 targets are unreached run-starts, so that ~15% gap stands.
This commit is contained in:
1012
docs/re/data/isl-schedule-all.txt
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1012
docs/re/data/isl-schedule-all.txt
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docs/re/data/isl-stage02-schedule.txt
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docs/re/data/isl-stage02-schedule.txt
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# Stage02.ssb — phase timelines
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Generated by `tools/re-capture/isl_report.py schedule`.
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Each phase ends with a table of `(routine offset, time in seconds, kind)`.
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56 entries.
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## phase 1 — 25 scheduled routines
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t=0 kind=5 -> 0x002C04
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t=0.5 kind=5 -> 0x002C6C
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t=1 kind=5 -> 0x002CE0
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t=1 kind=0 -> 0x00747C
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t=4 kind=5 -> 0x002D30
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t=30 kind=0 -> 0x00323C
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t=30 kind=0 -> 0x007754
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t=60 kind=0 -> 0x007804
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t=90 kind=0 -> 0x003448
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t=90 kind=0 -> 0x0078B4
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t=120 kind=0 -> 0x003A2C
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t=120 kind=0 -> 0x007964
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t=170 kind=0 -> 0x003F84
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t=170 kind=0 -> 0x007AB4
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t=210 kind=0 -> 0x00461C
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t=210 kind=0 -> 0x007C04
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t=240 kind=0 -> 0x004AF8
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t=240 kind=0 -> 0x007D54
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t=270 kind=0 -> 0x007EA4
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t=300 kind=0 -> 0x007F54
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t=330 kind=0 -> 0x0080A4
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t=1020 kind=0 -> 0x008154
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t=1080 kind=0 -> 0x008204
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t=1140 kind=0 -> 0x0082B4
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t=1170 kind=0 -> 0x008364
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## phase 2 — 13 scheduled routines
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t=0 kind=5 -> 0x0183D4
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t=0.5 kind=5 -> 0x01843C
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t=1 kind=0 -> 0x01F230
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t=4 kind=5 -> 0x0184B0
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t=30 kind=0 -> 0x0186F8
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t=60 kind=0 -> 0x01892C
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t=180 kind=0 -> 0x018B78
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t=240 kind=0 -> 0x018ED4
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t=300 kind=0 -> 0x01F488
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t=330 kind=0 -> 0x01F538
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t=360 kind=0 -> 0x01F5E8
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t=420 kind=0 -> 0x019118
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t=570 kind=0 -> 0x01F698
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## phase 3 — 18 scheduled routines
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t=0 kind=5 -> 0x0289EC
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t=0.5 kind=5 -> 0x028A54
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t=1 kind=0 -> 0x028EC0
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t=1 kind=0 -> 0x02E364
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t=4 kind=5 -> 0x028AC8
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t=5 kind=5 -> 0x028E30
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t=50 kind=0 -> 0x029724
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t=120 kind=0 -> 0x0299C8
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t=120 kind=0 -> 0x02E63C
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t=150 kind=0 -> 0x02A7BC
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t=150 kind=0 -> 0x02E78C
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t=180 kind=0 -> 0x029D14
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t=240 kind=0 -> 0x02E8DC
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t=270 kind=0 -> 0x02E98C
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t=300 kind=0 -> 0x02A92C
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t=300 kind=0 -> 0x02EA3C
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t=330 kind=0 -> 0x02EAEC
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t=360 kind=0 -> 0x02EB9C
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