examples: fixed-patch circle and jet run on all-blocked storage (M1)

Both public examples move off the dense refinement route, inside the scope
proven by the dense/blocked parity gate (1573942: two-level unshifted SRT,
periodic or slot/reservoir root, one circle/actuation or body-free):
- fixed_patch_jet: LEVEL_BLOCKS = [(12, 8), (8, 8)] (48x48 root, 56x40
  fine window), recorded in its report config;
- fixed_patch_circle: --base-block (default 12 8) and --fine-block
  (default 16 20); the dense 'omit --fine-block' option is gone.
Host test test_example_tiles: each example's tiles (read from the example
source without importing it) build every layout and table up to the first
CUDA call, for the circle in both coarse boundary modes.
No src change.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

examples/fixed_patch_jet.py

@@ -31,6 +31,7 @@ from CelerisLab.lbm.refinement import ACTIVE
 from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
 
 BOUNDS, AMPLITUDE, WIDTH = (16, 4, 32, 28), .02, 12
+LEVEL_BLOCKS = [(12, 8), (8, 8)]  # blocked storage: 48x48 root, 56x40 fine window
 TIMES, MAX_MACH, MAX_SECONDS = (0, 300, 1200), .1, 120
 
 
@@ -132,7 +133,8 @@ def main():
                   lattice_model='D2Q9', collision='SRT', streaming='double_buffer',
                   store_precision='FP32', ddf_shifting=False, les_enabled=False)
     report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
-                              rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
+                              rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir',
+                              level_blocks=LEVEL_BLOCKS),
                   guards=dict(check_every=50, positive_density=True, finite=True,
                               max_Mach=MAX_MACH, max_seconds=MAX_SECONDS,
                               timing='cooperative checks, not an exact interruption deadline'),
@@ -149,7 +151,8 @@ def main():
     start, run = time.monotonic(), None
     try:
         with CudaContext(0) as context, FixedPatchStepper(cfg, context=context,
-                coarse_boundary='slot_reservoir', refinements=[BOUNDS]) as run:
+                coarse_boundary='slot_reservoir', refinements=[BOUNDS],
+                level_blocks=LEVEL_BLOCKS) as run:
             p = run.patch
             masks = [np.ones(p.coarse_shape, bool), p.fine_kind == ACTIVE]
             masks[0][[0, -1]] = False