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test_trace_ui spent 18.8 of its 35.2 seconds in flat pilot.pause() calls placed
to let an async seek land. Two loops were most of it: 6 iterations at 0.5s and
28 at 0.3s, 11.4s of sleeping to check that a step moves the cursor.
They are condition waits now. The questions are unchanged -- does the listing
cursor reach the pc, does the pseudocode cursor follow -- but they cost what
they cost instead of a fixed budget. The second loop settles on something that
does NOT presuppose the answer (the listing cursor arriving, and the trail map
belonging to the loaded function): waiting on 'is this pc mapped' would have
burned the timeout on every unmapped instruction, about half of them, and come
out slower than the sleep it replaced.
35.2s -> 20.9s, 39 checks, stable over repeated runs.
tests/_fixtures.py collects the staging both this suite and test_scenarios need
-- scratch copy, seeded from a golden .i64 nothing writes back to -- which was
private to test_scenarios. Worth saying plainly: on targets/echo the seeding is
worth 0.19s, not the analysis time I assumed when I went looking. It is shared
for the deduplication and for whatever gets pointed at a bigger binary.
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Fourteen test files, each its own __main__, and no way to run them but from
memory -- so in practice you ran the one you were working on and hoped. Worse,
nothing said which files need a licensed IDA and a real worker (minutes) and
which are pure stdlib (milliseconds), so the cheap ones nobody ran either.
tests/run.py runs the lot and prints one table. --fast selects only the suites
that need nothing, which is 257 checks in half a second under any python3 --
that's the one you run between edits.
The classification lives in the test files, not in a table here that would rot
the first time someone adds a test: each declares NEEDS_IDA at module scope and
run.py reads it with ast (it can't import them -- they run their suite at
import). A file without the marker is a hard error rather than a silent guess.
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