test(D1): exchange, Jet and fine-surface checks run on all-blocked storage

- test_exchange_window and test_raw_exchange_gpu fine(): dense root becomes
  a (12, 8) blocked root (fine(None) stays only for the dense reference test
  that D2 retires);
- jets: G1/G3 compare blocked layouts against the FINE_BLOCKS[0] reference
  (blocked root); the dense run is a separate leg D2 removes; G2 legacy
  actuation vs Jet on the blocked reference; CPU fixtures use a blocked root;
- test_refinement_blocked_fine.raw reads every level through its layout;
- test_fine_surface_gpu: new test_fine_surface_blocked_matches_uniform_four_hops
  (fine ROI after each of four hops vs the uniform 48^2 solver with the same
  tolerances, blowing/suction mass sign from raw exchange, zero actuation ==
  passive bit for bit); the cross-interface donor rejection passes tiles.
  The dense hook/ledger/audit probes in test_fine_surface_four_hops and the
  dense SoA fault tests stay until D2 retires them by name.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Claude
2026-10-27 14:43:12 +00:00
co-authored by Claude Opus 5.5
parent 452eaf32de
commit 104f74632f
5 changed files with 96 additions and 31 deletions
@@ -279,6 +279,61 @@ def test_fine_surface_four_hops(speed):
np.testing.assert_array_equal(got, wanted)
def run_blocked_patch(speed):
"""All-blocked run (whole-level tiles) of the same case; fine ROI after each fine hop."""
cfg = LBMConfig(nx=24, ny=24, viscosity=.05, velocity=0, rho=1)
source = object_spec(speed)
with CudaContext(0) as context:
with implementation.FixedPatchStepper(cfg, context=context, refinements=[BOUNDS],
level_blocks=[(24, 24), (40, 40)],
level_objects=[(), (source,)],
observe_raw_exchange=True) as backend:
c, f = backend._levels
flags = backend.fine_boundary.flags.reshape(40, 40)
active = np.zeros((40, 40), bool)
active[4:-4, 4:-4] = True
active &= ((flags & FLUID) != 0) & ((flags & SOLID) == 0)
yy, xx = np.mgrid[:40, :40]
roi = active & ((xx-20)**2+(yy-20)**2 <= 9**2)
backend.initialize(rest((24, 24)), rest((40, 40)))
traces, original = [], f.kernel
def fine(*args, **kwargs):
original(*args, **kwargs)
backend._stream.synchronize()
advanced = f.layout.to_dense(read(args[1], f.layout.blocked_shape))
assert np.isfinite(advanced[:, active]).all()
assert np.isnan(advanced[:, (flags & SOLID) != 0]).all()
traces.append(advanced[:, roi].copy())
with patch.object(f, "kernel", fine):
backend.step(2)
assert len(traces) == 4 and backend.step_count == 2
mass = backend.read_raw_exchange(0)["total"]["mass_into_fluid"]
return traces, roi, backend.download(), float(mass)
@pytest.mark.parametrize("speed", [0., .002, -.002])
def test_fine_surface_blocked_matches_uniform_four_hops(speed):
"""Blocked storage: fine ROI after each of four hops against the uniform 48^2 solver
(same tolerances as the dense test); blowing/suction drives mass with its sign;
zero actuation equals the passive circle bit for bit."""
actual, roi, final, mass = run_blocked_patch(speed)
reference = uniform_reference(speed, roi)
for got, wanted in zip(actual, reference):
np.testing.assert_allclose(got, wanted, atol=3e-6, rtol=0)
np.testing.assert_allclose(MOMENTS@got.astype(float), MOMENTS@wanted.astype(float),
atol=2e-5, rtol=0)
if speed:
assert speed*mass > 0
else:
passive, passive_roi, passive_final, _ = run_blocked_patch(None)
np.testing.assert_array_equal(passive_roi, roi)
for got, wanted in zip(actual+list(final), passive+list(passive_final)):
np.testing.assert_array_equal(got, wanted)
print(f"blocked speed={speed} four hops vs uniform PASS mass_into_fluid={mass:+.9g}", flush=True)
@pytest.mark.parametrize("missing", ["surface_velocity_gpu", "link_exchange_gpu"])
def test_missing_surface_device_buffer_rejects_before_launch(missing):
backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
@@ -328,6 +383,7 @@ def test_cross_interface_donor_rejects_before_cuda():
with patch.object(cuda, "mem_alloc") as allocate:
with pytest.raises(ValueError, match="donor crosses"):
implementation.FixedPatchStepper(cfg, context=context, refinements=[BOUNDS],
level_blocks=[(24, 24), (40, 40)],
level_objects=[(), (source,)])
context.activate.assert_not_called()
allocate.assert_not_called()