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ClaudeandClaude Opus 5.5 a454f02355 Jets: compute jet link shapes once per boundary preparation
surface_link_velocity already runs jet_link_shapes; CurvedLinkSoA.
assign_surface and _prepare_blocked_boundary then ran it again with the
same jets and hits to fill the host jet cache. A private _surface_links
returns (velocity, aperture, shape, jet_id) from the one call; both
callers use it. surface_link_velocity keeps its two-value public
contract (now a thin wrapper). Same values, same validation order, same
cache contents; host geometry preparation only.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-21 05:57:11 +00:00
5 changed files with 22 additions and 187 deletions
+14 -3
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@@ -207,19 +207,30 @@ def surface_link_velocity(objects, cfg, flags, fluid_idx, dir, body_id, rx, ry,
jets=(), hits=None, *, _shifted_blocked=False):
"""Per-link prescribed surface velocity (n, 2) FP32 and aperture mask.
See _surface_links, which also returns the unit-amplitude jet shapes.
"""
return _surface_links(objects, cfg, flags, fluid_idx, dir, body_id, rx, ry, jets, hits,
_shifted_blocked=_shifted_blocked)[:2]
def _surface_links(objects, cfg, flags, fluid_idx, dir, body_id, rx, ry,
jets=(), hits=None, *, _shifted_blocked=False):
"""(velocity, aperture, jet shape, jet id); the last two are None without jets.
Host-only and storage-neutral: rows follow the given physical cut-link
order. Returns (None, None) when neither an object carries surface
order. Returns all None when neither an object carries surface
actuation nor a jet is given. Jets need true FP64 ``hits`` (n, 2) and may
not share a link with each other or with a legacy aperture.
Shifted storage is privately enabled only by the all-blocked stepper.
"""
enabled = [obj for obj in objects if obj.surface_actuation is not None]
if not enabled and not jets:
return None, None
return None, None, None, None
from .preprocess.flag_overlay import validate_cut_link_ownership
validate_cut_link_ownership(flags, fluid_idx, dir, cfg.nq)
surface_velocity = np.zeros((len(dir), 2), np.float32)
surface_aperture = np.zeros(len(dir), bool)
shape = jet_id = None
for obj in enabled:
obj.validate_surface_actuation(cfg)
selected = body_id == obj.obj_id
@@ -252,4 +263,4 @@ def surface_link_velocity(objects, cfg, flags, fluid_idx, dir, body_id, rx, ry,
raise ValueError("Jet overlaps a SurfaceActuation aperture")
surface_velocity[driven] = jet_link_velocity(jets, shape, jet_id)[driven]
surface_aperture |= driven
return surface_velocity, surface_aperture
return surface_velocity, surface_aperture, shape, jet_id
+2 -4
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@@ -94,12 +94,10 @@ class CurvedLinkSoA:
"""
self.surface_velocity = self.aperture = None
self.jets, self.jet_shape, self.jet_id = tuple(jets), None, None
self.surface_velocity, self.aperture = surface_link_velocity(
from ..body.jets import _surface_links
self.surface_velocity, self.aperture, self.jet_shape, self.jet_id = _surface_links(
objects, cfg, flags, self.fluid_idx, self.dir, self.body_id, self.rx, self.ry,
jets=self.jets, hits=hits)
if self.jets:
from ..body.jets import jet_link_shapes
self.jet_shape, self.jet_id = jet_link_shapes(self.jets, hits)
def set_jet_amplitude(self, index, amplitude, stream=None):
"""Rewrite jet rows from cached shapes; re-upload only the velocity column.
+6 -4
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@@ -8,7 +8,7 @@ from dataclasses import dataclass, replace
import numpy as np
from .blocks import blocked_link_tables
from ..body.jets import jet_link_shapes, surface_link_velocity
from ..body.jets import _surface_links
from .descriptors import D2Q9_EX, D2Q9_EY
from .refinement import ACTIVE, OUTER_GHOST
@@ -142,11 +142,13 @@ def _prepare_blocked_boundary(boundary, layout, cfg, jets, *, _shifted_blocked=F
tables.update(body_id=np.asarray(body_id, np.int32), rx=np.asarray(rx, np.float32),
ry=np.asarray(ry, np.float32), aperture=np.zeros(len(dirs), bool))
actuated = bool(jets) or any(o.surface_actuation is not None for o in boundary.objects)
jet_cache = None
if actuated:
cfg = replace(cfg)
cfg.validate()
tables["surface_velocity"], tables["aperture"] = surface_link_velocity(
tables["surface_velocity"], tables["aperture"], shape, jet_id = _surface_links(
boundary.objects, cfg, boundary.flags, fluid_idx, dirs, body_id, rx, ry,
jets=jets, hits=boundary.curved_hits, _shifted_blocked=_shifted_blocked)
return _BlockedBoundary(boundary, tables, jets, actuated,
jet_link_shapes(jets, boundary.curved_hits) if jets else None)
if jets:
jet_cache = (shape, jet_id)
return _BlockedBoundary(boundary, tables, jets, actuated, jet_cache)
-101
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@@ -1,101 +0,0 @@
"""Synthetic checks of the annulus mass ledger. Host-only, stdlib; not solver evidence."""
import random
import sys
from pathlib import Path
import unittest
sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "validation"))
import annulus_ledger as al # noqa: E402
NX = NY = 24
# Annulus 4 <= r <= 8 around (12, 12); dyadic values keep every sum exact.
A = {(x, y) for x in range(NX) for y in range(NY) if 16 <= (x - 12) ** 2 + (y - 12) ** 2 <= 64}
DELTA = 0.375
def owner(seed=1):
rng = random.Random(seed)
return [[[rng.randint(1, 1024) / 1024 for _ in range(NX)] for _ in range(NY)] for _ in range(9)]
def collide(P, source=None):
"""Mass-conserving stand-in: rotate populations within each cell (+ optional source)."""
D = [[[P[(q + 1) % 9][y][x] for x in range(NX)] for y in range(NY)] for q in range(9)]
if source:
(x, y), s = source
D[0][y][x] += s
return D
def link(interior):
"""(x, y, q) with x in A and x - c_q inside (seam) or outside (edge) A."""
for (x, y) in sorted(A):
for q in range(1, 9):
src = ((x - al.CX[q]) % NX, (y - al.CY[q]) % NY)
if (src in A) == interior:
return x, y, q
raise AssertionError
class Ledger(unittest.TestCase):
def setUp(self):
self.O = owner()
self.P = al.pull(self.O, NX, NY)
def run_ledger(self, P, D):
return al.ledger(self.O, P, D, A, NX, NY)
def test_ideal_pull_has_no_h_and_closes(self):
r = self.run_ledger(self.P, collide(self.P))
self.assertEqual((r["H_seam"], r["H_edge"], r["C"], r["residual"]), (0, 0, 0, 0))
self.assertEqual(r["dM"], -r["Q_exact"])
self.assertNotEqual(r["Q_exact"], 0)
def test_collision_source_is_c(self):
x, y = sorted(A)[3]
r = self.run_ledger(self.P, collide(self.P, ((x, y), DELTA)))
self.assertEqual((r["C"], r["H"], r["residual"]), (DELTA, 0, 0))
def test_interior_seam_perturbation(self):
x, y, q = link(interior=True)
self.P[q][y][x] += DELTA
r = self.run_ledger(self.P, collide(self.P))
self.assertEqual((r["H_seam"], r["H_edge"], r["residual"]), (DELTA, 0, 0))
# Invisible to any flux through the edge of A; only H explains the mass change.
self.assertEqual(al.staged_flux(self.O, self.P, A, NX, NY), r["Q_exact"])
self.assertEqual(r["dM"] + r["Q_exact"], DELTA)
def test_edge_perturbation_and_staged_flux_double_count(self):
x, y, q = link(interior=False)
self.P[q][y][x] += DELTA
r = self.run_ledger(self.P, collide(self.P))
self.assertEqual((r["H_seam"], r["H_edge"], r["residual"]), (0, DELTA, 0))
staged = al.staged_flux(self.O, self.P, A, NX, NY)
self.assertEqual(staged, r["Q_exact"] - DELTA)
# Staged flux + full H counts the staging change twice.
self.assertEqual(r["dM"] + staged - r["C"] - r["H"], -DELTA)
# Staged flux alone closes only without the edge part of H.
self.assertEqual(r["dM"] + staged - r["C"] - r["H_seam"], 0)
def test_owner_snapshot_after_staging_hides_the_change(self):
# Snapshot taken after staging wrote the same slot into the owner image.
x, y, q = link(interior=False)
sx, sy = (x - al.CX[q]) % NX, (y - al.CY[q]) % NY
self.P[q][y][x] += DELTA
late = [[row[:] for row in plane] for plane in self.O]
late[q][sy][sx] += DELTA
r = al.ledger(late, self.P, collide(self.P), A, NX, NY)
self.assertEqual((r["H"], r["residual"]), (0, 0))
def test_wrong_pull_direction_is_flagged(self):
# Indexing error (push instead of pull): H is nonzero with no physical cause.
bad = [[[self.O[q][(y + al.CY[q]) % NY][(x + al.CX[q]) % NX] for x in range(NX)]
for y in range(NY)] for q in range(9)]
r = self.run_ledger(bad, collide(bad))
self.assertNotEqual(r["H"], 0)
self.assertEqual(r["residual"], 0)
if __name__ == "__main__":
unittest.main()
-75
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@@ -1,75 +0,0 @@
"""Per-hop mass ledger of a fluid cell set A (host-only, stdlib, D2Q9 pull scheme).
Diagnostic definition only; no solver code, no GPU. Arrays are indexed [q][y][x] on a
periodic nx x ny lattice; A is a set of (x, y) ACTIVE cells.
O owner populations before any staging (canonical owner slots, start of the hop)
P populations each cell actually pulls: P[q](x) is what x reads for direction q
(after halo copy, BFL/coalesce staging, ...)
D populations written by the cell after collision
With M0 = sum_{A,q} O and M1 = sum_{A,q} D (both owner snapshots of A):
M1 - M0 + Q_exact = C + H (exact)
C = sum_{x in A, q} (D_q(x) - P_q(x)) collision source
H = sum_{x in A, q} (P_q(x) - O_q(x - c_q)) actual minus ideal owner input,
split into H_seam (x - c_q in A: internal pulls, e.g. tile seams) and
H_edge (x - c_q not in A: inputs crossing the edge of A)
Q_exact = sum_{y in A, y+c_q not in A} O_q(y) - sum_{y not in A, y+c_q in A} O_q(y)
owner-based net outward flux (outgoing minus incoming)
Proof: sum_{A,q} O_q(x - c_q) - M0 = -Q_exact (relabel y = x - c_q per direction), and
sum_{A,q} D = C + H + sum_{A,q} O_q(x - c_q). Q_exact must use O, not staged values: a
flux built from staged inputs already contains H_edge, so adding the full H counts it
twice (see staged_flux). The edge of A must not cross cut links, otherwise O at the solid
end enters Q_exact.
"""
CX = (0, 1, -1, 0, 0, 1, -1, 1, -1)
CY = (0, 0, 0, 1, -1, 1, -1, -1, 1)
def _src(x, y, q, nx, ny):
return (x - CX[q]) % nx, (y - CY[q]) % ny
def pull(O, nx, ny):
"""Ideal pulled input: P[q](x) = O[q](x - c_q)."""
return [[[O[q][_src(x, y, q, nx, ny)[1]][_src(x, y, q, nx, ny)[0]]
for x in range(nx)] for y in range(ny)] for q in range(9)]
def ledger(O, P, D, A, nx, ny):
A = set(A)
out = dict(dM=0.0, C=0.0, H_seam=0.0, H_edge=0.0, Q_exact=0.0)
for (x, y) in A:
for q in range(9):
out["dM"] += D[q][y][x] - O[q][y][x]
out["C"] += D[q][y][x] - P[q][y][x]
sx, sy = _src(x, y, q, nx, ny)
key = "H_seam" if (sx, sy) in A else "H_edge"
out[key] += P[q][y][x] - O[q][sy][sx]
if (sx, sy) not in A:
out["Q_exact"] -= O[q][sy][sx] # incoming owner population
tx, ty = (x + CX[q]) % nx, (y + CY[q]) % ny
if (tx, ty) not in A:
out["Q_exact"] += O[q][y][x] # outgoing owner population
out["H"] = out["H_seam"] + out["H_edge"]
out["residual"] = out["dM"] + out["Q_exact"] - out["C"] - out["H"]
return out
def staged_flux(O, P, A, nx, ny):
"""Outward flux with incoming terms from the staged inputs P (the wrong combination)."""
A = set(A)
q_out = 0.0
for (x, y) in A:
for q in range(9):
sx, sy = _src(x, y, q, nx, ny)
if (sx, sy) not in A:
q_out -= P[q][y][x]
tx, ty = (x + CX[q]) % nx, (y + CY[q]) % ny
if (tx, ty) not in A:
q_out += O[q][y][x]
return q_out