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Author SHA1 Message Date
ClaudeandClaude Opus 5.5 580397eaf8 research: karman reproduce uses committed pinball ids after sync_bodies
add_body after initialize returns a pending negative id; sync_bodies commits
the new bodies in order, so the pinball ids are n0..n0+2 (f2f88c phase3 did
the same). Fixes the KeyError(-1) in the GPU smoke.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-31 10:21:42 +00:00
ClaudeandClaude Opus 5.5 ded0c52975 research: karman reproduce refuses an existing output directory
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-31 10:15:43 +00:00
ClaudeandClaude Opus 5.5 c2936a400e research: karman reproduce keeps Legacy's 150x800 zero-action target-sampling time before adding the pinball
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-31 10:15:13 +00:00
ClaudeandClaude Opus 5.5 3c6c9c690a research: karman reproduce takes explicit model/norm paths; no bytecode written into DynamisLab
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-31 10:10:59 +00:00
ClaudeandClaude Opus 5.5 f04036e4e4 research: replay frozen Legacy karman_re100 PPO on current CelerisLab
Legacy legacy_test interface contract: A = (8a + b) U0 with b = (0,-4,4),
omega = +A/R, per-lattice-step EMA reset to zero every 800-step interval,
zero first observation, frozen norm.json, deterministic policy, Legacy
warm-up order. Reuses the DynamisLab model loader and observation
normalizer read-only; writes the f2f88c phase3 signals.npz layout.
Research only; src/ unchanged. Not executed here (no GPU/numpy).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-31 10:10:08 +00:00
Astra (AI agent) d0968e6e91 research: reuse quadrature and clarify snapshot and VIV coordinates 2026-10-31 12:04:56 +08:00
7 changed files with 178 additions and 8 deletions
+6
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@@ -394,6 +394,12 @@ before `run()`, the force will be reset to zero. For the common usage pattern
| `sim.load_checkpoint(path)` | Restore from HDF5 (config must match) |
| `sim.snapshot()` / `sim.restore()` | In-memory field snapshot |
In-memory snapshots save populations only. Restore keeps the current clock,
controls, observations, geometry and flags; use it only while geometry is
unchanged. This is not a restart or an FSI rollback. In particular, do not
restore a snapshot taken before a translating circle changed position.
This geometry restriction is a caller precondition, not a runtime check.
#### Low-level access
| Attribute | Description |
+4
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@@ -30,6 +30,10 @@ cells (M1 `MovingCircleCells`), moving-wall Bouzidi with wall velocity
mass, eq_only, no_donor, crossings) accumulated since obs were zeroed;
`obs`/`read_force` keep their contract (CME on the body).
- `get_flags()` reads device flags back when moving circles exist.
- `snapshot()` / `restore()` save and restore populations only, keeping the
current clock, controls, observations, geometry and flags. Use them only
with unchanged geometry; restoring across a translation is unsupported
and is not rejected at runtime. They do not provide FSI rollback.
*Supported:* dense double buffer, D2Q9, FP32 unshifted, SRT/MRT, circles,
spin. *Rejected before mutation:* EsoPull, ddf shifting, D3Q19, refinement /
+11 -4
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@@ -29,10 +29,17 @@ Claude, Grok and Astra at 1abfe954; implemented in research/viv_re150/.
- D = 40, MRT, dense double buffer; U_lat = .04, nu = U D / 150 = .010667,
tau = .532.
- Box [0, 75 D] × [0, 60 D] (3000 × 2400) with the cylinder centre at
(30 D, 30 D): 30 D from the inlet, 45 D from the outlet, centred in y
(Kolahdouz §4.1.1). Qin's own box ([0, 40 D] × [0, 20 D], centre (10 D, 10 D))
is the target paper's, not ours.
- Nominal 75 D × 60 D lattice allocation (3000 × 2400), based on the
Kolahdouz §4.1.1 layout. Coordinate clarification of the existing run:
the driver uses `(30 D, (ny - 1)/2)` = `(1200, 1199.5)` in lattice
coordinates, or `(30 D, 29.9875 D)`. The earlier `(30 D, 30 D)` wording
described the nominal box, not the exact executed centre.
Free-slip reflection planes are at `y = .5` and `y = ny - 1.5 = 2398.5`;
their separation is 2398 cells = 59.95 D, with the centre exactly midway,
29.975 D from each wall. Node counts are not physical wall-to-wall lengths.
This corrects the description, without changing the historical geometry
or results. Qin's own box ([0, 40 D] × [0, 20 D], centre (10 D, 10 D)) is
the target paper's, not ours.
- Boundaries: uniform Zou–He inlet, NEQ outlet (rho = 1, backflow clamp),
free-slip y walls. Kolahdouz uses a traction outlet: declared mismatch.
- Qin's own VIV box (40 D × 20 D) is not used; a smaller box would be a
+8 -1
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@@ -8,6 +8,7 @@ s/T in [0.25 + (k-1), 0.25 + k); cycle 0 is the startup quarter.
from __future__ import annotations
import math
from functools import lru_cache
import numpy as np
@@ -53,10 +54,16 @@ def bin_phase(s, T):
return None
@lru_cache(maxsize=8)
def _quadrature_rule(points):
"""Reuse the nodes and weights, which depend only on quadrature order."""
return np.polynomial.legendre.leggauss(points)
def interval_bases(n, T, points=16):
"""Single-step interval averages over [n, n + 1] of cos phi |cos phi| and sin phi
(phi in radians = 2 pi s / T - pi / 2), Gauss-Legendre quadrature."""
x, w = np.polynomial.legendre.leggauss(points)
x, w = _quadrature_rule(points)
s = int(n) % T + 0.5 * (x + 1.0) # periodic: identical bases in every cycle
phi = 2.0 * np.pi * s / T - 0.5 * np.pi
c = np.cos(phi)
+116
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@@ -0,0 +1,116 @@
"""Replay the frozen Legacy karman_re100 PPO policy on current CelerisLab.
Research only; nothing in src/ is changed. Plant: Legacy Karman cloak scene
(1280x512, D=20, parabolic inlet, mean U0 .01, nu .004, Re_D 50; upstream
cylinder r=20 at x=200; pinball front (600, 255.5), rear (626, 255.5+-15);
probes r=5 at x=800, y=255.5+40/0/-40). Interface contract = DynamisLab
legacy_test (the executor behind the Legacy rerun), not f2f88c phase3:
- command per interval: A = (8 a + b) U0, b = (0, -4, 4), a = deterministic
policy output in [-1, 1]^3; wall speed command, omega = +A / R (both
solvers impose u_w = omega x r, CCW positive);
- smoothing per LATTICE step, A_eff <- .9 A_eff + .1 A, with A_eff = 0 at the
start of every 800-step interval (legacy_test.runtime.run_historical_interval);
- observation: interval means of the three pinball forces (front, top, bottom)
and the three probe (ux, uy) sums, normalized by the frozen norm.json with
legacy_test.runtime.policy_observation; the first observation is zero.
Output (--out, outside the checkout): signals.npz with sensors (N,6), forces
(N,6), actions (N,3) in the f2f88c phase3 layout, so its comparator applies.
PYTHONPATH=src python research/karman_reproduce/run.py --dynamis DYN --model .../d1a3o12_re100.zip \\
--norm .../karman_re100/norm.json --config .../config_lbm_pinball_legacy_compat.json \\
--out /tmp/new-dir [--device 1]
"""
from __future__ import annotations
import argparse
import json
import os
import subprocess
import sys
import numpy as np
L0, U0, NX, NY = 20.0, 0.01, 1280, 512
R, YC = L0 / 2, (NY - 1) / 2
SI, INTERVALS, WARMUP, FIFO_LEN = 800, 200, int(4 * NX / U0), 150
BIAS = np.array([0.0, -4.0, 4.0])
def git_head(path):
return subprocess.run(["git", "-C", path, "rev-parse", "HEAD"], capture_output=True,
text=True).stdout.strip()
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--dynamis", required=True, help="DynamisLab checkout (imported read-only)")
ap.add_argument("--model", required=True, help="frozen d1a3o12_re100.zip")
ap.add_argument("--norm", required=True, help="frozen karman_re100 norm.json")
ap.add_argument("--config", required=True)
ap.add_argument("--out", required=True)
ap.add_argument("--device", type=int, default=0)
ap.add_argument("--intervals", type=int, default=INTERVALS)
args = ap.parse_args()
here = os.path.realpath(os.path.join(os.path.dirname(__file__), "..", ".."))
if os.path.realpath(args.out).startswith(here):
raise SystemExit("--out must be outside the checkout")
os.makedirs(args.out) # fresh directory only; never overwrite results
sys.dont_write_bytecode = True # import only: write nothing into the DynamisLab tree
sys.path.insert(0, os.path.join(args.dynamis, "src"))
from stable_baselines3 import PPO
from drl_pinball.legacy_test.core.model_loader import _dummy_env
from drl_pinball.legacy_test.runtime import load_policy_norm, policy_observation
model = PPO.load(args.model, env=_dummy_env(12), device="cpu")
norm = load_policy_norm(args.norm)
from CelerisLab.simulation import Simulation
sim = Simulation(args.config, device_id=args.device)
try:
sim.add_body("circle", center=(10 * L0, YC, 0.0), radius=L0)
probes = [sim.add_body("sensor", center=(40 * L0, YC + dy, 0.0), radius=5.0)
for dy in (40.0, 0.0, -40.0)]
sim.initialize()
# Legacy build_karman_cloak order: stabilize disturbance + probes, then the
# 150-interval zero-action target sampling (kept as flow time), then the pinball.
sim.run(WARMUP + FIFO_LEN * SI)
n0 = sim.bodies.count
for c in ((30 * L0, YC, 0.0), (626.0, YC + 15, 0.0), (626.0, YC - 15, 0.0)):
sim.add_body("circle", center=c, radius=R) # pending (negative) id until sync
sim.sync_bodies()
pinball = list(range(n0, n0 + 3)) # committed ids, as in f2f88c phase3
sim.run(WARMUP)
cells = float(len(sim.bodies.get(probes[0]).get_sensor_list(NX, NY)[0])) # probe sum = mean * cells
obs = np.zeros(12, np.float32)
sensors, forces, actions = (np.zeros((args.intervals, n), np.float32) for n in (6, 6, 3))
for n in range(args.intervals):
a = np.asarray(model.predict(obs, deterministic=True)[0], np.float32).reshape(3)
target, eff = (8.0 * a + BIAS) * U0, np.zeros(3)
for k in range(SI):
eff = 0.9 * eff + 0.1 * target
for pid, w in zip(pinball, eff / R):
sim.set_body(pid, omega=float(w))
sim.run(1, zero_obs=(k == 0), sync_obs=(k == SI - 1))
s = [v * cells for pid in probes for v in sim.read_sensor(pid)[:2]]
f = [v for pid in pinball for v in sim.read_force(pid)[:2]]
raw = np.asarray(s + f, np.float32)
if not np.all(np.isfinite(raw)):
raise RuntimeError(f"non-finite observation at interval {n}")
sensors[n], forces[n], actions[n] = raw[:6], raw[6:], a
obs = policy_observation(raw, norm)
np.savez_compressed(os.path.join(args.out, "signals.npz"), sensors=sensors,
forces=forces, actions=actions)
with open(os.path.join(args.out, "case.json"), "w") as fh:
json.dump(dict(celeris=git_head(here), dynamis=git_head(args.dynamis),
config=os.path.realpath(args.config), model=os.path.realpath(args.model),
norm=os.path.realpath(args.norm), warmup=WARMUP, target_sampling=FIFO_LEN * SI, interval=SI, intervals=args.intervals,
probe_cells=cells), fh, indent=1)
finally:
sim.close()
if __name__ == "__main__":
main()
+4 -3
View File
@@ -1,8 +1,9 @@
"""One-shot predeclared VIV run (docs/validation/viv_re150_predeclare.md).
Re 150, U* = 5, m/(rho D^2) = 2, zeta = 0, D = 40 on a 75 D x 60 D native
channel (uniform inlet, NEQ outlet, free-slip y walls), cylinder at
(30 D, 30 D). Structural RHS = CME + Wen (diagnostics: raw CME, node terms).
Re 150, U* = 5, m/(rho D^2) = 2, zeta = 0, D = 40 on a nominal 75 D x 60 D
lattice (uniform inlet, NEQ outlet, free-slip y walls). The cylinder is at
(30 D, (ny - 1)/2); y-wall planes are .5 and ny - 1.5 in lattice coordinates.
Structural RHS = CME + Wen (diagnostics: raw CME, node terms).
Research driver only: Simulation API, no production change.
PYTHONPATH=src python research/viv_re150/run.py --out /path/outside/checkout
+29
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@@ -82,6 +82,35 @@ def test_interval_bases_and_morison_fit_recover_known_coefficients():
assert p.morison_fit(f, b[:, 0], b[:, 1]) == pytest.approx((2.09, 1.45), abs=1e-9)
def test_quadrature_rule_reused_across_steps_and_periods(monkeypatch):
original = np.polynomial.legendre.leggauss
orders = []
def counted(points):
orders.append(points)
return original(points)
p._quadrature_rule.cache_clear()
monkeypatch.setattr(np.polynomial.legendre, "leggauss", counted)
try:
for points in (16, 8, 16):
for period in (T, 2 * T):
for n in (0, 123, period + 123):
p.interval_bases(n, period, points)
assert orders == [16, 8]
finally:
p._quadrature_rule.cache_clear()
def test_interval_sine_basis_matches_exact_integral():
for period in (T, 2 * T):
half_width = math.pi / period
for n in (0, period // 4, period // 2, period - 1, 7 * period + 123):
midpoint = 2 * math.pi * ((n % period) + .5) / period - math.pi / 2
expected = math.sin(midpoint) * math.sin(half_width) / half_width
assert p.interval_bases(n, period)[1] == pytest.approx(expected, rel=0, abs=2e-15)
def test_geometry_repeats_exactly_across_cycles():
A = p.amplitude(20)
for m in (0, 1, T // 4, T // 2 - 1, 7 * T // 12):