research: VIV driver — exact seed window, error status, no overwrite, bounded smoke flag
Seed quiet check reads states y_t, t in [n_seed - 5 T_n, n_seed); an exception sets status 'error: ...' before the report is written; an output directory that already holds report.json or steps.npy is refused; --max-steps gives a plumbing smoke that is never scored. Predeclare states the code's actual uniform-U fluid initial condition. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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co-authored by
Claude Opus 5.5
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f08b5e671f
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@@ -49,8 +49,10 @@ Claude, Grok and Astra at 1abfe954; implemented in research/viv_re150/.
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semantics: see the window section). Whether the
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measured force represents the interval's start, midpoint or end is not
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asserted; the one-step lag is declared, not corrected.
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- Initial state: fluid at rest except the uniform inlet; y_0 = v_0 = 0;
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F_last = 0 for the first step; geometry initialized at the declared centre.
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- Initial state: fluid initialized by `Simulation.initialize()` to the uniform
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inlet velocity U everywhere (the code's actual initial condition; the
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source gives no fluid initial condition), body at rest at the declared
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centre, y_0 = v_0 = 0, F_last = 0.
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- Structural update over one step with constant force F = F_last (exact
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harmonic solution, zeta = 0): y_e = F/K, w = 2 pi f_n,
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y^{n+1} = y_e + (y^n − y_e) cos w + (v^n / w) sin w,
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@@ -67,10 +69,11 @@ Clocks: lattice dt = 1; T_n = 1/f_n = 5,000 steps. Response cycles are
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counted from the measured signal; T_n is used only for the seed check.
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- Start: body at rest at the declared centre (the only initial condition the
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source states), y_0 = v_0 = 0, F_last = 0; fluid at rest except the uniform
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inlet (our choice; the source gives no fluid initial condition).
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source states), y_0 = v_0 = 0, F_last = 0; fluid uniform at U (as
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initialized by the code; our choice, not the source's).
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- Seed (conditional, one time, declared): at step n_seed = 200,000
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(t = 40 T_n), if max |y| over steps [175,000, 200,000) is below .01 D, then
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(t = 40 T_n), if max |y_t| over states t in [175,000, 200,000) is below
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.01 D, then
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in that step, after the check and before the candidate update, set
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v_n += 2 pi f_n (.01 D) (F_last unchanged) and proceed normally; the
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geometry moves continuously through the update. `seed_applied`, step and
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@@ -40,14 +40,22 @@ def config(D=D, U=U):
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--out", required=True)
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ap.add_argument("--max-steps", type=int, default=0,
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help="plumbing smoke only: stop after N steps; never scored")
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args = ap.parse_args()
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if os.path.realpath(args.out).startswith(os.path.realpath(os.path.join(os.path.dirname(__file__), "..", ".."))):
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raise SystemExit("--out must be outside the checkout")
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os.makedirs(args.out, exist_ok=True)
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for name in ("report.json", "steps.npy"): # never overwrite earlier evidence
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if os.path.exists(os.path.join(args.out, name)):
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raise SystemExit(f"{args.out} already holds {name}; use a fresh output directory")
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cfg, nx, ny = config()
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s, cyc = viv.Structure(D, U), viv.Cycles(D)
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T_n = 1.0 / s.f_n
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step_cap, n_seed = int(round(viv.STEP_CAP_TN * T_n)), int(round(viv.SEED_TN * T_n))
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quiet = int(round(5 * T_n))
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if args.max_steps:
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step_cap = min(step_cap, args.max_steps)
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centre = (30.0 * D, 0.5 * (ny - 1))
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from CelerisLab.body.motion import Translation
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@@ -61,7 +69,8 @@ def main():
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translation=Translation((0.0, 0.0, -1.5 * D, 1.5 * D), 0.5))
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sim.initialize()
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for n in range(step_cap):
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if n == n_seed and max((abs(r[1]) for r in rows[-int(5 * T_n):]), default=0.0) < viv.ELIGIBLE * D:
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# rows[k] holds the state y_{k+1}; the declared window is y_t, t in [n_seed - 5 T_n, n_seed)
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if n == n_seed and max(abs(r[1]) for r in rows[n_seed - quiet - 1:n_seed - 1]) < viv.ELIGIBLE * D:
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s.v += s.seed_velocity(D) # after the quiet check, before the update
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seed_step = n
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cyc.discard_current()
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@@ -92,14 +101,17 @@ def main():
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status = "timeout_response_cycles"
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break
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else:
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status = "timeout_native_steps"
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status = "smoke_stopped" if args.max_steps else "timeout_native_steps"
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except BaseException as exc:
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status = f"error: {exc!r}"
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raise
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finally:
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np.save(os.path.join(args.out, "steps.npy"), np.asarray(rows, float))
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report = dict(status=status, steps=len(rows), t_U_over_D=len(rows) * U / D, T_n=T_n,
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report = dict(status=status, smoke=bool(args.max_steps), steps=len(rows), t_U_over_D=len(rows) * U / D, T_n=T_n,
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seed_step=seed_step, counted_cycles=cyc.counted, cycles=cyc.log,
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columns=["n", "y", "v", "F_rhs_cme_wen", "F_cme", "F_wen", "F_obs",
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"node_cover_minus_uncover_y", "no_donor"])
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if status == "scored":
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if status == "scored" and not args.max_steps:
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report["score"] = viv.score(cyc.window)
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with open(os.path.join(args.out, "report.json"), "w") as fh:
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json.dump(report, fh, indent=1)
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