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# One bounded bodyless SRT inlet control
Preparation only; review precedes any GPU admission. This test-only opt-in is based on
8e378aa047bb35ae4ec46037eff7256bd2f074e7. Historical first-health evidence and its source
manifest are untouched. The control calls the same pinned D80 config factory and uses
unchanged production `Simulation.initialize()` / `run(1)`; `--without-cylinder` changes
only the single cylinder object list to empty. No profile, wall/source plane, domain,
collision, relaxation, speed, representation, step cap, health limit or field observation
is adjusted. SRT tau=.524 and the existing inlet/outlet remain as in the failed run.
Production already supports zero objects through `ensure_packed_buffers`. The absent
body has no force observable: the control never calls `read_force(0)`, records `force:null`
and `force_observation:not_applicable_no_body`, and does not invent a zero force. Physical
population/macro/Mach/density checks remain intact. Existing per-step diagnostics, first
health crossing, immediately preceding/current raw+decoded state capture, 128 MiB budget,
external watchdog and maximum 320 steps remain unchanged. No extra baseline run is needed.
Removing the cylinder necessarily turns its former solid cells into fluid. Those cells
receive the same production parabolic fluid initializer; shared fluid and boundary-ghost
cells retain the original initializer and configuration. This is not a transplant of the
baseline's solid-cell state into new fluid. Removing the body also removes its cut links
and specializes the existing kernel for zero objects, as ordinary Simulation already does.
The spatial `body_near` category is retained only as the **former-cylinder neighborhood**
for comparing locations. It does not claim an actual body is present; body-solid flag
counts should be zero in the control.
## Explicit identity and source checks
The unchanged manifest still pins numerical source 9805383, as used by the baseline8e
harness. The new test-only HEAD does not pretend to be that historical run. Preflight,
READY and diagnostic/result records include the control label, original baseline harness
commit, new diagnostic checkout revision/dirty status, selected numerical checkout
revision/dirty status, and new diagnostic file hash. Production/helper bytes are verified
against the original manifest before either case. A later development checkout with
changed numerical files is rejected; the old pin is not silently accepted or regenerated.
The default cylinder case remains available for compatibility, but this requested control
uses only `--without-cylinder` and a distinct new output directory.
## Interpretation before seeing outcomes
- Similar early inlet-region failure without a cylinder: cylinder presence is not
necessary for this observed short-time instability under these settings. This supports
investigating inlet/collision/kinetic-state dynamics; it does not prove a specific
boundary defect or exclude other shared boundaries/initialization effects.
- No health violation through 320: removing the body changes the observed onset, consistent
with a body-generated transient or altered amplification interacting with the inlet.
This does not prove the cylinder is erroneous, establish inlet stability beyond320,
or certify SRT generally.
- Different failure location/time: geometry affects the transient; classify the preserved
incoming distributions and moments before assigning any mechanism.
The baseline failed at196 on finite Mach>.2, not nonfinite state. A control can likewise
stop on a finite threshold crossing. Do not describe either as a NaN blow-up unless the
separate diagnostic flags establish that.
CPU-only checks:
```sh
python tests/validation/uniform_srt_diagnostic/test_diagnostic.py
python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --without-cylinder --output /tmp/new-bodyless-preflight
```
After review and root admission, from the explicitly recorded test checkout:
```sh
CUDA_VISIBLE_DEVICES=<admitted-device> timeout --signal=TERM --kill-after=30s 240s python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --without-cylinder --execute --gpu-admitted --wall-seconds 180 --output output/new-srt-bodyless-control
```
This patch performs no GPU run or remote push. Original runner gates/results and
production files are unchanged. The extra tests verify removal-only selection without
mutating inputs, reject unexpected object sets, verify absence of force readback, and
retain physical health failures when force is unavailable.
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@@ -0,0 +1,31 @@
# Fixed-window inlet history (test-only)
Opt in with `--record-inlet-history`, together with `--without-cylinder` for the requested control. Default execution still retains only the original first-health pair. This followup is based on bodyless diagnostic `66a27410504fef477808d6079ce79ca1ae6b903c`; the numerical source manifest remains unchanged at `9805383f9c50d867e8555471baf5dbda8333a652`. Actual diagnostic/numerical checkout revisions and script SHA256 are recorded separately.
The requested observation window is **completed steps 0 through 196 inclusive**. Recording stops after196, but evolution continues under the original first-health/320-step/wall-time stop behavior. An earlier failure preserves the recorded prefix, including its failing observation. `complete_for_requested_window` means all197 requested frames exist; it never means complete history past196. `diagnostic_terminal_step` records the terminal observed step separately.
`inlet_history.npz` contains:
- `raw_shifted[time,q,y,x]`: unchanged FP32 bits, all9q, all330 rows, x0..3, copied from already-existing active-buffer raw snapshots.
- Static uint16 `flags[y,x]`, global x/y indices, contiguous int64 `steps`.
- `time_s=steps*dt` and `tstar=steps*mean_speed/diameter`, plus requested range and diagnostic terminal step.
- Step zero is the initialized state; subsequent states are completed postcollision active-buffer observations. Ghost/solid flags remain distinct from physical-fluid health checks.
Full configuration, physical parameters and source identity remain in `preflight.json`; `diagnostics.json` adds the history SHA256, size, window and completeness receipt. No additional full-field copies or solver calls are introduced. The new history copies only x0..3 from the baseline's existing raw snapshot. Baseline two-state evidence and health gates remain intact.
The full requested raw payload is9,361,440 bytes (8.928MiB). Flags, time arrays, coordinates and NPZ overhead keep it below12MiB. Initialization checks the fixed-window allocation against that bound with64KiB overhead reserve, and saving checks actual artifact size. This fits inside the existing128MiB total evidence cap with the original pair. The12MiB limit is an artifact-size bound, not peak RAM: the retained strip list and stacked output briefly coexist. There is no variable compression/overflow policy.
CPU checks:
```sh
python tests/validation/uniform_srt_diagnostic/test_diagnostic.py
python tests/validation/uniform_srt_diagnostic/test_history.py
python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --without-cylinder --record-inlet-history --output /tmp/new-inlet-history-preflight
```
After independent review and root GPU admission, from this exact test checkout, with a new output directory:
```sh
CUDA_VISIBLE_DEVICES=<admitted-device> timeout --signal=TERM --kill-after=30s 240s python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --without-cylinder --record-inlet-history --execute --gpu-admitted --wall-seconds 180 --output output/new-srt-inlet-history
```
The homogeneous linear surrogate is a separate analysis artifact. This history will allow comparison with actual startup, including initialization mismatch and wall-junction propagation; neither the recorder nor the surrogate changes a boundary or establishes a corrective scheme. No GPU run is included in this commit.
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# First-failure uniform SRT diagnostic (prepared, not executed)
Purpose: locate the first physical failure in the unchanged uniform D80 SRT control that was healthy at executed step 160 and nonfinite at the next observation, executed step 320. The original failure's summary `steps=160` is the last accepted observation, not the last executed step. This diagnostic does not select different numerical parameters, run an AMR case or perform a new benchmark campaign.
## Exact source and configuration
The default source is the containing repository (override with `--source`); the exact pinned production/runtime source is commit `9805383f9c50d867e8555471baf5dbda8333a652`. The manifest pins production files and the helper/runner dependencies directly against the original failure's `source_before.json`. All pinned contents match. Import guards require CelerisLab and the runner from the selected pinned checkout.
The script calls the original `run_refined_dfg.config(helper,80)` factory and unchanged `Simulation(...).initialize()`. Thus it retains D80, U=.01, ν=.008, τ=.524, ω≈1.9084, shifted FP32, SRT, double buffer, parabolic local Zou–He inlet, all-nine pressure-NEQ damping .5, backflow clamp disabled, identical cylinder geometry and initialization. No clipping, equilibrium rewrite or solver patch is added.
The inlet overload in this source may differ by FP32 rounding from older d79 code even where the algebra matches; that is not changed here and is not established as the cause of failure. MRT's outlet branch also differs. Neither prior MRT success nor this diagnostic establishes an SRT/outlet/body attribution.
## Observation and stop contract
- At most 320 actual solver steps, starting from the original fresh initialization. Stop at the first physical health failure (or wall deadline).
- Read the production macroscopic path, its decoded populations, and force after every completed step. Preserve the actual executed count separately from the last observed count.
- Independently report nonfinite physical populations, nonfinite physical macros and nonfinite reaction. Apply the original density [.5,1.5] and Mach≤.2 checks to physical FLUID nodes. A new population-only check may stop earlier than the original macro-only health check; the report explicitly distinguishes it.
- Per-step `Simulation.run(1)` resets/reads the observation buffer for a one-step force window. This changes observation cadence and force accumulation windows, not configuration or fluid updates. A cumulative-force-only overflow from the original 100/60-step batching would not be reproduced identically; that limitation is explicit. Original macro warnings already show nonfinite populations/macros, so this instrument prioritizes locating the physical failure.
- Ghost/inactive/body-solid populations are reported in separate categories; their NaNs do not independently trigger physical failure. Category masks are disjoint and complete. Boundary subtypes are decoded as the nibble, not mistaken for independent bit flags.
- Physical region labels are body-near (within radius+3 cells), outlet/inlet-near (three fluid columns), wall-near (three fluid rows), and remaining bulk. These locate symptoms, not causal mechanisms.
- Initial, preceding and firstbad/final compact reports retain category counts, finite global extrema and positions, the first 16 offending nodes in row-major order, their bad q indices/all populations, and up to four 5×5 population/flag neighborhoods. “First” identifies earliest sampled step; within that step the list is row-major, not an asserted temporal order among GPU threads.
## Bounded evidence
Only the immediately preceding and firstbad/final active-buffer states are retained. `states.npz` contains their exact raw shifted FP32 values, production-decoded FP32 populations and step numbers, plus flags. This is ~81 MiB at the exact D80 shape, with a 128 MiB artifact limit enforced. There are no saved field trajectories. Initial conditions are reproducible from the source/config; only their diagnostic summary is retained.
These are diagnostic snapshots, not full restart checkpoints (spare buffers and observation/control state are not a restart bundle). `diagnostics.json` stores nonfinite numbers as explicit `NaN`, `+Inf`, `-Inf` strings and is strict finite JSON; NPZ preserves actual IEEE values. A force-only failure can have no offending fluid node. A clean cap means no sampled failure through 320, not benchmark acceptance.
## CPU validation
```sh
python tests/validation/uniform_srt_diagnostic/test_diagnostic.py
python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --output /tmp/new-srt-preflight
```
Seven CPU-only tests pass: source/config, complete category partition, inactive nonfinite exclusion, independent population/macro/force reasons, health thresholds, bounded two-state artifact writing, and deadline/source guards. `py_compile` and the real-source default preflight pass. No CUDA import is required by preflight/tests and no GPU was executed here.
## Root-only admitted execution
After independent review and root GPU admission:
```sh
CUDA_VISIBLE_DEVICES=<admitted-device> timeout --signal=TERM --kill-after=30s <hard-budget>s python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --source <exact-9805383-checkout> --execute --gpu-admitted --wall-seconds <soft-budget> --output <new-output-directory>
```
The external watchdog is required for a blocked CUDA call; cooperative wall checks cannot interrupt one. Budget should allow per-step downloads and ~81 MiB evidence writing; this diagnostic is not a performance measurement. The step ceiling cannot be increased by a CLI flag. `READY` is emitted after the first completed step and all observation paths. First physical failure is expected diagnostic evidence and returns exit 2; step cap returns 0. `preflight.json` records the pre-execution configuration, not a completion receipt.
Original failure files, production source, original pilot runner and gates are untouched. This test-only handoff is based on exact commit 9805383; added diagnostic files are not part of the historical failure source manifest.
## Historical reporting undercount (not changed here)
The failed pilot executed to step 320 before its second observation failed. Its summary `steps=160` reflects `begin`, which advances only after an accepted observation. This is a reporting undercount, not evidence that the second batch did not execute. The original failure package and runner/gates are preserved unchanged. This diagnostic records both `executed_steps` and `observation_step`, and labels previous-state steps explicitly. Fixing the historical runner's reporting is a separate change.
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@@ -32,6 +32,7 @@ INLET_SCHEME_MAP = {
"channel_stabilized": 1,
"equilibrium": 2,
"regularized": 3,
"experimental_regularized_full9": 4,
}
OUTLET_MAP = {"neq_extrap": 0, "zero_gradient": 1, "blended": 2}
Y_WALL_BC_MAP = {"bounce_back": 0, "free_slip": 1, "on_site_velocity": 2}
@@ -162,6 +163,11 @@ class LBMConfig:
raise ValueError("wall_slot_width requires on_site_velocity and velocity=0")
if self.top_wall_bc == "reservoir" and (self.y_wall_bc != "on_site_velocity" or self.velocity != 0):
raise ValueError("reservoir requires on_site_velocity and velocity=0")
if self.inlet_scheme == "experimental_regularized_full9":
if (not self.is_d2q9 or self.collision != "SRT"
or self.streaming != "double_buffer" or self.store_precision != "FP32"
or self.les_enabled or self.y_wall_bc != "bounce_back"):
raise ValueError("experimental_regularized_full9 requires D2Q9/SRT/FP32/double_buffer, bounce_back walls, no LES")
if self.y_wall_bc == "on_site_velocity":
if (not self.is_d2q9 or self.collision != "SRT"
or self.streaming != "double_buffer" or self.store_precision != "FP32"
@@ -74,7 +74,7 @@ __device__ __forceinline__ float west_velocity_rho_closure_d3q19(
__device__ __forceinline__ bool inlet_scheme_uses_post_collision_ghost()
{
#if INLET_SCHEME == 0
#if INLET_SCHEME == 0 || INLET_SCHEME == 4
return true;
#else
return false;
@@ -0,0 +1,36 @@
// Experimental D2Q9 west velocity boundary: full-state stress regularization.
// Palabos boundaryTemplates::compute_PiNeq / regularized velocity completion.
// This returns PRE-collision populations. The existing step kernel collides once.
#ifndef CELERIS_EXPERIMENTAL_FULL9_INLET_CUH
#define CELERIS_EXPERIMENTAL_FULL9_INLET_CUH
#if LATTICE_MODEL == LATTICE_D2Q9
__device__ inline void apply_experimental_full9_inlet_d2q9(
float* __restrict__ f, float ux_target, float uy_target)
{
const float rho = west_velocity_rho_closure_d2q9(f, ux_target);
float eq[9];
compute_feq(rho, ux_target, uy_target, eq);
// Only known pulled directions are read; unknown wrapped q1/5/7 are ignored.
// f and eq use the same shifting convention, so weights cancel in K.
const float k2 = f[2] - eq[2];
const float k3 = f[3] - eq[3];
const float k4 = f[4] - eq[4];
const float k6 = f[6] - eq[6];
const float k8 = f[8] - eq[8];
const float pxx = 2.0f * (k2 + k6 + k8);
const float pyy = k3 + k4 + 2.0f * (k6 + k8);
const float pxy = 2.0f * (k6 - k8);
const int cx[9] = {0, 1,-1, 0, 0, 1,-1, 1,-1};
const int cy[9] = {0, 0, 0, 1,-1, 1,-1,-1, 1};
for (int q = 0; q < 9; ++q) {
const float weight = q == 0 ? W0_VAL : (q < 5 ? WS_VAL : WE_VAL);
const float stress = weight * (
4.5f * (((float)(cx[q]*cx[q]) - 1.0f/3.0f) * pxx
+ ((float)(cy[q]*cy[q]) - 1.0f/3.0f) * pyy)
+ 9.0f * (float)(cx[q]*cy[q]) * pxy);
f[q] = eq[q] + stress;
}
}
#endif
#endif
@@ -24,6 +24,7 @@
#include "inlet/channel_stabilized.cuh"
#include "inlet/equilibrium.cuh"
#include "inlet/regularized.cuh"
#include "inlet/experimental_full9.cuh"
#include "outlet/pressure_neq.cuh"
#if DIM == 2
@@ -45,6 +46,8 @@ __device__ __forceinline__ void apply_inlet_pull_d2q9(
#if INLET_SCHEME == 0
apply_zou_he_left_velocity_inlet_d2q9(f, u_target, v_target);
#elif INLET_SCHEME == 4
apply_experimental_full9_inlet_d2q9(f, u_target, v_target);
#elif INLET_SCHEME == 1 || INLET_SCHEME == 3
float f_neb[NQ];
const unsigned long k_neb = linear_index(x + 1u, y);
@@ -143,6 +146,8 @@ __device__ __forceinline__ void apply_inlet_esopull_d2q9(
#if INLET_SCHEME == 0
apply_zou_he_left_velocity_inlet_d2q9(f, u_target, v_target);
#elif INLET_SCHEME == 4
apply_experimental_full9_inlet_d2q9(f, u_target, v_target);
#elif INLET_SCHEME == 1 || INLET_SCHEME == 3
#if INLET_SCHEME == 1
apply_channel_stabilized_inlet_d2q9(f, f_neb, (float)y);
@@ -0,0 +1,26 @@
# Experimental uniform DFG pilot
Numerical source remains926ca27407c26ca11283282a6e53249925725376. This test-only followup uses a separate dfg_source_manifest.json, pins the official reference-cycle file, and records actual execution HEAD independently. The historical bodyless manifest is unchanged and correctly rejects this checkout because the shared runner gained optional hooks. Use historical939c10c for that historical entrypoint; do not repin old evidence.
The new run_dfg.py is uniform-only, with the original D80 cylinder, SRT tau.524, shiftedFP32 double buffer, original initialization, noLES/force, pressure-NEQ outlet all-nine damping.5. Only inlet scheme is experimental_regularized_full9. It reuses run_refined_dfg.run_case and the existing pressure, force, physical mass/flux and periodic/reference helpers. Legacy run_case callers retain the original inlet and dense pilot cadence.
This pilot advances40,000steps to t*=5 with sparse observations every4000steps (t*=.5), matching the standard pre240 cadence. Every100-step batch contributes its full momentum impulse; force time is the interval midpoint, pressure time its endpoint. First100steps provide warmup; the next four100-step batches measure warmed step+force cost. All500steps are included in the physical trajectory and observation impulse; no reset or discarded evolution. Calibration durations and total step/force/startup/wall timings are recorded. Batch force download synchronizes GPU work through the existing API.
A first unhealthy sample identifies only the first observed failure, not its onset. Receipts separate executed_steps, last_observed_step and the existing steps field; timeout retains available progress, history and calibration. No per-step field download or new health threshold is introduced. Runtime admission uses180seconds internally, with an external240second watchdog. Later full-run admission must use measured batched timings, not the earlier per-step snapshot diagnostic rate. Same-size historical MRT full campaigns took roughly354–373seconds, but this pilot measures the present SRT/full9 case.
CPU checks from this checkout:
```
python tests/validation/experimental_full9/test_dfg.py
python tests/validation/experimental_full9/test_full9.py
python -m py_compile tests/validation/experimental_full9/run_dfg.py tests/validation/run_refined_dfg.py
python tests/validation/experimental_full9/run_dfg.py --output /tmp/new-full9-dfg-preflight
```
After independent review and explicit GPU admission only:
```
CUDA_VISIBLE_DEVICES=<admitted-device> timeout --signal=TERM --kill-after=30s 240s python tests/validation/experimental_full9/run_dfg.py --execute --gpu-admitted --wall-seconds 180 --output output/new-full9-dfg-pilot
```
This entrypoint intentionally has no full-run execution option. Existing official-reference assessment is reused and accuracy_pass requires health, periodicity and reference agreement for future qualification; pilot accuracy_qualified is alwaysfalse. A healthy pilot qualifies bounded admission/timing only. No grid convergence, canonical outlet, refined/MRT/other precision, long-time accuracy or general stability claim follows.
@@ -0,0 +1,38 @@
# Isolated experimental full-nine inlet comparison
This is preparation for one separately admitted, at-most320-step bodyless robustness comparison. It is not public support, a default change, proof of root cause, or boundary-accuracy acceptance.
## Source and isolation
Numerical commit: `926ca27407c26ca11283282a6e53249925725376`, based on history diagnostic `e92de3742476ea5afd6b84ff9538992df48548f7`. The new manifest pins numerical files and separately hashes the two runtime harness files. Actual checkout HEAD/dirty state is recorded on execution; --source must resolve to the executing harness checkout. The historical manifest is unchanged and intentionally rejects the new numerical tree. The original Zou–He default and IDs0..3 remain unchanged.
Explicit scheme `experimental_regularized_full9` is ID4. Configuration guards restrict it to D2Q9, SRT, double-buffer, FP32 storage, bounce-back y walls, and no LES; shifted and unshifted storage are tested. The bodyless runner uses exactly the old config factory, changes only inlet scheme, and removes only the original cylinder. Original initialization, profile, boundary planes, outlet/all-nine damping, viscosity, timestep and health gates remain unchanged.
The new helper computes rho from the existing west known-population closure. At the prescribed velocity, known Kq=Fq−Feq gives Pi_xx=2(K2+K6+K8), Pi_yy=K3+K4+2(K6+K8), Pi_xy=2(K6−K8). It reconstructs all nine pre-collision populations from equilibrium plus the second-order stress projection. The existing step kernel then applies SRT exactly once. Old-buffer timing is unchanged. This preserves prescribed physical velocity moments while intentionally changing the boundary's kinetic reconstruction; it is not numerically identical to Zou–He.
Primary mapping: [Palabos stress construction](https://unigespc.gitlab.io/palabos/docs/html/d0/dfa/boundary_templates_8h_source.html), [velocity completion before base collision](https://unigespc.gitlab.io/palabos/docs/html/d2/d68/regularized_boundary_dynamics_8hh_source.html), [Latt–Chopard equations10–12](https://arxiv.org/pdf/physics/0506157). This independently implemented mapping does not use Celeris's differently defined existing incoming-only donor-damped `regularized` option.
Near-wall inlet known inputs are unchanged. This comparison includes their existing interaction; it does not silently move walls or repair initialization. An EsoPull dispatch arm is present because that function is preprocessed even in double-buffer builds; the configuration guard rejects running that streaming variant.
## Tests and bounded analytical check
```sh
python tests/validation/experimental_full9/test_full9.py
python tests/validation/experimental_full9/test_runner.py
OPENBLAS_NUM_THREADS=1 OMP_NUM_THREADS=1 python tests/validation/experimental_full9/check_linear_strip.py
python tests/validation/experimental_full9/run_bodyless.py --record-inlet-history --output /tmp/new-full9-preflight
```
The host tests compile the actual helper and canonical macro/SRT headers with g++, in shifted/unshifted modes. They check equilibrium, mass/momentum, prescribed stress, ignored wrapped q1/5/7, exactly-one collision, source ordering, legacy IDs/defaults and rejected configurations. These tests do not certify CUDA compilation.
The fixed homogeneous linear comparison uses the original five k samples, width32, rho1, U=.0028664576821029186, tau=.524 and zero far incoming perturbation. The prior3π/4 Zou–He radius1.0186489 becomes .9802484 with full9; all five sampled full9 radii are below1. This is a finite sampled surrogate result, not a continuous stability proof or a match to the actual dominant≈2π/3 history spectrum. No parameter tuning or new flow is part of this check.
## Exact admitted command
From the final clean reviewed checkout, after explicit GPU admission:
```sh
CUDA_VISIBLE_DEVICES=<admitted-device> timeout --signal=TERM --kill-after=30s 240s python tests/validation/experimental_full9/run_bodyless.py --record-inlet-history --execute --gpu-admitted --wall-seconds 180 --output output/new-experimental-full9-bodyless
```
The shared diagnostic still stops on its unchanged first-health/320-step/wall ceiling. Optional raw history records the fixed0..196 window only, with the existing12MiB bound and completeness receipt; evolution can continue beyond196. Use a new output directory and preserve old evidence.
A healthy320-step result would support only bounded robustness to this exact startup. Failure remains evidence, not a reason to tune the scheme after seeing results. Compare step-count/health, finite fields, density/Mach, inlet target moments and retained modal history; conservation and long-time/cylinder accuracy require later separate tests. No default/dev integration is authorized by this experiment.
@@ -0,0 +1,31 @@
"""Bounded fixed-parameter linear comparison; no nonlinear flow or GPU run."""
import json
from pathlib import Path
import numpy as np
from scipy.linalg import eigvals
cx=np.array([0,1,-1,0,0,1,-1,1,-1]);cy=np.array([0,0,0,1,-1,1,-1,-1,1]);w=np.array([4/9]+[1/9]*4+[1/36]*4)
U=.0028664576821029186;omega=1/.524;cu=cx*U
base=w*(1+3*cu+4.5*cu**2-1.5*U**2)
E=w[:,None]*((1+3*cu+4.5*cu**2-1.5*U*U)[:,None]+(3*cx+9*cu*cx-3*U)[:,None]*(cx-U)[None,:]+(3*cy+9*cu*cy)[:,None]*cy[None,:])
C=(1-omega)*np.eye(9)+omega*E
r=np.array([1,0,2,1,1,0,2,0,2])/(1-U);I=np.eye(9)
B=I.copy();B[1]=I[2]+2/3*U*r;B[5]=I[6]+.5*(I[4]-I[3])+U/6*r;B[7]=I[8]+.5*(I[3]-I[4])+U/6*r
T=np.array([[0,0,2,0,0,0,2,0,2],[0,0,0,1,1,0,2,0,2],[0,0,0,0,0,0,2,0,-2]])
R=w[:,None]*np.array([4.5*(cx*cx-1/3),4.5*(cy*cy-1/3),9*cx*cy]).T
Bfull=base[:,None]*r+R@T@(I-base[:,None]*r)
assert np.max(abs(Bfull[:,[1,5,7]]))<1e-15
assert np.max(abs(np.array([np.ones(9),cx,cy])@Bfull-np.array([r,U*r,np.zeros(9)])))<1e-14
def radius(n,k,b):
A=np.zeros((9*n,9*n),complex)
for x in range(n):
local=C@b if x==0 else C
for q in range(9):
donor=x-int(cx[q])
if 0<=donor<n:A[9*x:9*x+9,9*donor+q]+=local[:,q]*np.exp(-1j*k*cy[q])
return float(np.max(abs(eigvals(A,check_finite=False))))
def main():
rows=[dict(k_over_pi=k/np.pi,zou_he=radius(32,k,B),experimental_full9=radius(32,k,Bfull)) for k in [0,np.pi/4,np.pi/2,3*np.pi/4,np.pi]]
print(json.dumps(dict(scope='Width32, zero incoming far perturbation, five original fixed k samples; negative samples do not prove stability',U=U,tau=.524,rows=rows),indent=2,allow_nan=False))
if __name__=='__main__':main()
@@ -0,0 +1,121 @@
{
"commit": "926ca27407c26ca11283282a6e53249925725376",
"historical_numerical_source_commit": "9805383f9c50d867e8555471baf5dbda8333a652",
"variant": "experimental_regularized_full9",
"sha256": {
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},
"runtime_sha256": {
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},
"experiment": "uniform_full9_dfg_sparse_pilot"
}
@@ -0,0 +1,58 @@
"""Explicit experimental full9 inlet, exact original bodyless SRT control otherwise.
CPU preflight by default. No acceptance claim; requires separate GPU admission.
"""
import argparse
import hashlib
import math
import os
from pathlib import Path
import sys
HERE=Path(__file__).resolve().parent
ROOT=HERE.parents[2]
sys.path.insert(0,str(HERE.parent/'uniform_srt_diagnostic'))
import diagnose_uniform_srt as diagnostic
VARIANT='experimental_regularized_full9'
def configuration(source):
if source.resolve()!=ROOT.resolve():
raise ValueError('Experimental source must equal the executing harness checkout')
cfg,body,p,manifest=diagnostic.source_config(source,HERE/'source_manifest.json')
if cfg['method']['collision']!='SRT' or cfg['method']['inlet']['scheme']!='zou_he_local':
raise ValueError('Unexpected baseline factory')
cfg['method']['inlet']['scheme']=VARIANT
return cfg,diagnostic.select_body(body,True),p,manifest
def main():
parser=argparse.ArgumentParser(description=__doc__)
parser.add_argument('--source',type=Path,default=ROOT)
parser.add_argument('--output',type=Path,required=True)
parser.add_argument('--record-inlet-history',action='store_true')
parser.add_argument('--execute',action='store_true')
parser.add_argument('--gpu-admitted',action='store_true')
parser.add_argument('--wall-seconds',type=float)
a=parser.parse_args();a.source=a.source.resolve()
cfg,body,p,manifest=configuration(a.source)
from source_provenance import checkout_provenance
a.identity=dict(experimental_variant=VARIANT,
observation_mode='inlet_raw_history' if a.record_inlet_history else 'first_health_pair',
history_limit_bytes=diagnostic.HISTORY_LIMIT_BYTES if a.record_inlet_history else None,
history_requested_steps=[0,196] if a.record_inlet_history else None,
control='without_cylinder',force_observation='not_applicable_no_body',
baseline_diagnostic_commit='66a27410504fef477808d6079ce79ca1ae6b903c',
numerical_source_commit=manifest['commit'],
diagnostic_checkout=checkout_provenance(ROOT),numerical_checkout=checkout_provenance(a.source),
diagnostic_sha256=hashlib.sha256(Path(__file__).read_bytes()).hexdigest(),
shared_diagnostic_sha256=hashlib.sha256(Path(diagnostic.__file__).read_bytes()).hexdigest())
if a.output.exists() and any(a.output.iterdir()):raise ValueError('Use a new/empty output directory')
if a.execute and (not a.gpu_admitted or not os.environ.get('CUDA_VISIBLE_DEVICES') or
a.wall_seconds is None or not math.isfinite(a.wall_seconds) or a.wall_seconds<=0):
raise ValueError('Explicit root admission, device selection and finite wall ceiling required')
a.output.mkdir(parents=True,exist_ok=True)
diagnostic.dump(a.output/'preflight.json',dict(**a.identity,source=manifest,config=cfg,body=body,parameters=p,
max_steps=320,max_evidence_bytes=diagnostic.LIMIT_BYTES,executed=False))
return diagnostic.execute(a,cfg,body,p) if a.execute else 0
if __name__=='__main__':raise SystemExit(main())
@@ -0,0 +1,113 @@
"""Uniform experimental full9 DFG pilot; CPU preflight unless explicitly admitted."""
import argparse
import hashlib
import json
import math
import os
from pathlib import Path
import sys
import time
HERE = Path(__file__).resolve().parent
ROOT = HERE.parents[2]
sys.path.insert(0, str(HERE.parent / 'uniform_srt_diagnostic'))
import diagnose_uniform_srt as diagnostic
VARIANT = 'experimental_regularized_full9'
OBSERVATION = 'uniform_sparse_pilot_v1'
def configuration(source):
if source.resolve() != ROOT.resolve():
raise ValueError('Source must equal executing harness checkout')
cfg, body, p, manifest = diagnostic.source_config(source, HERE / 'dfg_source_manifest.json')
cfg['method']['inlet']['scheme'] = VARIANT
return cfg, body, p, manifest
def accuracy_pass(result):
"""Standard later qualification predicate; pilot never qualifies accuracy."""
return (result.get('healthy') is True and result.get('periodic') is True
and result.get('reference_comparison', {}).get('reference_agreement') is True)
def identity(manifest):
return dict(experimental_variant=VARIANT, collision='SRT', control='with_cylinder',
observation_mode=OBSERVATION, numerical_source_commit=manifest['commit'],
manifest_sha256=hashlib.sha256((HERE / 'dfg_source_manifest.json').read_bytes()).hexdigest())
def verify_pilot(result, expected):
import run_refined_dfg as runner
runner.ensure_finite(result)
if any(result.get(k) != v for k, v in expected.items()):
raise ValueError('Pilot identity mismatch')
if (result.get('case') != 'uniform' or result.get('mode') != 'pilot'
or result.get('status') != 'pilot_complete' or result.get('healthy') is not True
or result.get('steps') != 40000 or result.get('executed_steps') != 40000):
raise ValueError('Incomplete or mislabeled pilot')
timings = result.get('calibration_batches_seconds', [])
if len(timings) != 5 or any(isinstance(v, bool) or not isinstance(v, (int, float)) or v <= 0 for v in timings):
raise ValueError('Missing positive calibration timings')
rows = result.get('history', [])
if len(rows) != 10:
raise ValueError('Incomplete sparse pilot history')
for i, row in enumerate(rows, 1):
for key in ('cd', 'cl', 'mass', 'flux_in', 'flux_out', 'dp'):
if isinstance(row.get(key), bool) or not isinstance(row.get(key), (int, float)):
raise ValueError('Missing numeric pilot observation')
if (row.get('step') != i * 4000 or row.get('tstar') != i * .5
or row.get('tstar_force') != i * .5 - .25
or not .5 <= row.get('rho_min', 0) <= row.get('rho_max', 2) <= 1.5
or not 0 <= row.get('max_mach', 1) <= .2):
raise ValueError('Invalid sparse pilot observation')
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--source', type=Path, default=ROOT)
parser.add_argument('--output', type=Path, required=True)
parser.add_argument('--execute', action='store_true')
parser.add_argument('--gpu-admitted', action='store_true')
parser.add_argument('--wall-seconds', type=float, default=180.)
a = parser.parse_args()
a.source = a.source.resolve()
cfg, body, p, manifest = configuration(a.source)
import run_refined_dfg as runner
from source_provenance import checkout_provenance
h, periodic = runner.helpers(a.source)
if not math.isfinite(a.wall_seconds) or a.wall_seconds <= 0:
raise ValueError('Finite positive wall ceiling required')
if a.execute and (not a.gpu_admitted or not os.environ.get('CUDA_VISIBLE_DEVICES')):
raise ValueError('Explicit GPU admission and device selection required')
if a.output.exists() and any(a.output.iterdir()):
raise ValueError('Use new/empty output directory')
a.output.mkdir(parents=True, exist_ok=True)
receipt = identity(manifest)
receipt['checkout'] = checkout_provenance(ROOT)
diagnostic.dump(a.output / 'preflight.json', dict(**receipt, config=cfg, body=body,
parameters=p, source=manifest, max_steps=40000, cap_tstar=5.,
observation_width_tstar=.5, force_batch_steps=100,
calibration='First 100 steps warmup; next 400 timed, counted in physical trajectory',
gates=periodic.GATES, reference_gates=periodic.REFERENCE_GATES,
wall_seconds=a.wall_seconds, executed=False, accuracy_qualified=False))
if not a.execute:
return 0
a.mode = 'pilot'
a.deadline = time.monotonic() + a.wall_seconds
progress = {}
try:
result = runner.run_case(a, h, periodic, 'uniform', inlet_scheme=VARIANT,
sparse_pilot=True, receipt_identity=receipt, progress=progress)
except TimeoutError:
diagnostic.dump(a.output / 'result.json', dict(**receipt, status='wall_time_limit',
healthy=False, accuracy_qualified=False, **progress))
return 3
if result['healthy']:
verify_pilot(result, receipt)
diagnostic.dump(a.output / 'result.json', dict(**result, accuracy_qualified=False))
return 0 if result['healthy'] else 2
if __name__ == '__main__':
raise SystemExit(main())
@@ -0,0 +1,118 @@
{
"commit": "926ca27407c26ca11283282a6e53249925725376",
"historical_numerical_source_commit": "9805383f9c50d867e8555471baf5dbda8333a652",
"variant": "experimental_regularized_full9",
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"runtime_sha256": {
"tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py": "56b9ef786001c7760abab8d870f6437d719b427c21964f00067188f5fb27caad",
"tests/validation/experimental_full9/run_bodyless.py": "840edd524edb66ec06a3b8784c9e561f139a77cf49550125817193f25363c694"
}
}
@@ -0,0 +1,153 @@
"""Focused host checks for the uniform experimental DFG pilot."""
from copy import deepcopy
import importlib.util
import json
from pathlib import Path
import subprocess
import sys
from tempfile import TemporaryDirectory
import unittest
sys.path.insert(0, str(Path(__file__).resolve().parent))
import run_dfg as r
def test_factory_and_default():
cfg, body, p, manifest = r.configuration(r.ROOT)
r.configuration(r.ROOT)
import run_refined_dfg as runner
h, _ = runner.helpers(r.ROOT)
old, old_body, old_p = runner.config(h, 80)
assert old['method']['inlet']['scheme'] == 'zou_he_local'
old['method']['inlet']['scheme'] = r.VARIANT
assert cfg == old and body == old_body and p == old_p
assert len(body['objects']) == 1 and p['diameter'] == 80
assert cfg == runner.config(h, 80, r.VARIANT)[0]
assert manifest['commit'] == '926ca27407c26ca11283282a6e53249925725376'
def receipt():
_, _, _, m = r.configuration(r.ROOT)
expected = r.identity(m)
rows = [dict(step=i*4000, tstar=i*.5, tstar_force=i*.5-.25,
rho_min=.99, rho_max=1.01, max_mach=.03,
cd=3., cl=.1, dp=2., mass=.8, flux_in=.41, flux_out=.41)
for i in range(1, 11)]
return expected, dict(**expected, case='uniform', mode='pilot', status='pilot_complete',
healthy=True, steps=40000, executed_steps=40000, history=rows,
calibration_batches_seconds=[.001]*5)
def test_receipts():
expected, result = receipt()
r.verify_pilot(result, expected)
for key, value in [('collision', 'MRT'), ('experimental_variant', 'zou_he_local'),
('observation_mode', 'first_health_pair'), ('control', 'without_cylinder'),
('numerical_source_commit', 'other'), ('case', 'refined'),
('steps', 39999), ('executed_steps', 39999), ('healthy', False)]:
bad = deepcopy(result); bad[key] = value
with unittest.TestCase().assertRaises(ValueError): r.verify_pilot(bad, expected)
for change in ('nan', 'missing', 'time', 'count'):
bad = deepcopy(result)
if change == 'nan': bad['history'][-1]['tstar'] = float('nan')
if change == 'missing': del bad['history'][0]['cd']
if change == 'time': bad['history'][0]['tstar_force'] = .5
if change == 'count': bad['history'].pop()
with unittest.TestCase().assertRaises(ValueError): r.verify_pilot(bad, expected)
def test_accuracy_requires_reference():
assert not r.accuracy_pass(dict(healthy=True, periodic=True))
assert r.accuracy_pass(dict(healthy=True, periodic=True,
reference_comparison=dict(reference_agreement=True)))
assert not r.accuracy_pass(dict(healthy=True, periodic=False,
reference_comparison=dict(reference_agreement=True)))
def test_preflight_and_source_guards():
with TemporaryDirectory() as temp:
subprocess.run([sys.executable, str(Path(r.__file__)), '--output', temp], check=True)
out = json.loads((Path(temp)/'preflight.json').read_text())
assert out['max_steps'] == 40000 and out['observation_width_tstar'] == .5
assert not out['executed'] and not out['accuracy_qualified']
assert out['wall_seconds'] == 180 and out['control'] == 'with_cylinder'
with unittest.TestCase().assertRaises(ValueError): r.configuration(r.ROOT.parent)
with unittest.TestCase().assertRaisesRegex(ValueError, 'Pinned source mismatch'):
r.diagnostic.source_config(r.ROOT, Path(r.__file__).with_name('source_manifest.json'))
def test_shared_source_semantics():
r.configuration(r.ROOT)
import run_refined_dfg as runner
text = Path(runner.__file__).read_text()
assert 'sparse_pilot=False' in text
assert '(a.mode == "pilot" and not sparse_pilot)' in text
assert 'impulse += sim.read_force(0).astype(np.float64) * batch' in text
assert 'tstar_force=(begin + n / 2) * SPEED / p["diameter"]' in text
assert 'cd=float(impulse[0] / n / den)' in text
assert 'mass = float(rho[fluid].sum()) * p["dx"] ** 2' in text
assert 'executed_steps += batch' in text
assert 'First unhealthy observation; onset between observations is unknown' in text
def test_accounted_calibration_and_failure_progress():
import numpy as np
import types
from unittest.mock import patch
r.configuration(r.ROOT)
import run_refined_dfg as runner
h, periodic = runner.helpers(r.ROOT)
_, _, p = runner.config(h, 80)
count = [0]
fail = [False]
class Simulation:
def __init__(self, *args, **kwargs):
self.field = types.SimpleNamespace(flag=np.ones(p['nx']*p['ny'], np.uint8))
def __enter__(self): return self
def __exit__(self, *args): pass
def initialize(self): count[0] = 0
def run(self, n): count[0] += n
def read_force(self, body): return np.array([.004, .002])
def get_macroscopic(self):
shape = (p['ny'], p['nx'])
return dict(rho=np.full(shape, float('nan') if fail[0] else 1.),
ux=np.full(shape, .01), uy=np.zeros(shape))
modules = {
'CelerisLab.simulation': types.SimpleNamespace(Simulation=Simulation),
'CelerisLab.cuda.context': types.SimpleNamespace(CudaContext=object),
'CelerisLab.lbm.refinement_stepper': types.SimpleNamespace(FixedPatchStepper=object),
}
with patch.dict(sys.modules, modules), patch.object(h, 'pressure_probes', return_value=dict(dp=2.)):
with TemporaryDirectory() as temp:
args = types.SimpleNamespace(source=r.ROOT, output=Path(temp), mode='pilot', deadline=float('inf'))
progress = {}
result = runner.run_case(args, h, periodic, 'uniform', inlet_scheme=r.VARIANT,
sparse_pilot=True, progress=progress)
assert count[0] == 40000 and result['executed_steps'] == 40000
assert len(result['history']) == 10 and len(result['calibration_batches_seconds']) == 5
assert abs(result['history'][0]['cd'] - 1.) < 1e-14
assert result['history'][0]['tstar_force'] == .25
fail[0] = True
with TemporaryDirectory() as temp:
args.output = Path(temp)
result = runner.run_case(args, h, periodic, 'uniform', inlet_scheme=r.VARIANT,
sparse_pilot=True, progress=progress)
assert result['executed_steps'] == 4000 and result['steps'] == 0
assert result['first_observed_failure_step'] == 4000 and result['last_observed_step'] == 0
fail[0] = False
with TemporaryDirectory() as temp:
args.output = Path(temp)
def deadline(_):
if count[0] >= 500: raise TimeoutError('test deadline')
count[0] = 0
with patch.object(runner, 'check_deadline', side_effect=deadline):
with unittest.TestCase().assertRaises(TimeoutError):
runner.run_case(args, h, periodic, 'uniform', inlet_scheme=r.VARIANT,
sparse_pilot=True, progress=progress)
assert progress['executed_steps'] == 500 and progress['last_observed_step'] == 0
assert len(progress['calibration_batches_seconds']) == 5
if __name__ == '__main__':
result = unittest.TextTestRunner(verbosity=2).run(unittest.TestSuite(
unittest.FunctionTestCase(fn) for name, fn in sorted(globals().items()) if name.startswith('test_')))
raise SystemExit(not result.wasSuccessful())
@@ -0,0 +1,105 @@
"""Host-compile the actual numerical helper; no CUDA or flow evolution."""
import ctypes
from pathlib import Path
import subprocess
import sys
from tempfile import TemporaryDirectory
import unittest
import numpy as np
ROOT=Path(__file__).resolve().parents[3]
sys.path.insert(0,str(ROOT/'src'))
from CelerisLab.config import LBMConfig, INLET_SCHEME_MAP
cx=np.array([0,1,-1,0,0,1,-1,1,-1]);cy=np.array([0,0,0,1,-1,1,-1,-1,1]);w=np.array([4/9]+[1/9]*4+[1/36]*4)
M=np.array([np.ones(9),cx,cy]);Q=np.array([cx*cx,cy*cy,cx*cy])
TEMP=TemporaryDirectory();libs=[]
for shifted in [0,1]:
code=f'''
#include <cmath>
#define __device__
#define __forceinline__ inline
#define __fdiv_rn(a,b) ((a)/(b))
#define LATTICE_D2Q9 0
#define LATTICE_MODEL 0
#define NQ 9
#define CS2 (1.0f/3.0f)
#define NY 330
#define U0 .01f
#define W0_VAL (4.0f/9.0f)
#define WS_VAL (1.0f/9.0f)
#define WE_VAL (1.0f/36.0f)
#define USE_DDF_SHIFTING {shifted}
#define INLET_SCHEME 4
#include "operators/macro.cuh"
#include "operators/collision_srt.cuh"
#include "boundary/inlet/common.cuh"
#include "boundary/inlet/experimental_full9.cuh"
extern "C" int apply(float* f,float u,float v,int collision) {{
apply_experimental_full9_inlet_d2q9(f,u,v);
int count=0;
if (collision && inlet_scheme_uses_post_collision_ghost()) {{
float rho,ux,uy,eq[9]; compute_rho_u(f,rho,ux,uy); compute_feq(rho,ux,uy,eq);
collide_srt_no_force(f,eq,1.0f/.524f); ++count;
}}
return count;
}}
'''
src=Path(TEMP.name)/f'test{shifted}.cpp';src.write_text(code);lib=src.with_suffix('.so')
subprocess.run(['g++','-std=c++11','-shared','-fPIC','-O2','-ffp-contract=off','-I',str(ROOT/'src/CelerisLab/lbm/kernels'),str(src),'-o',str(lib)],check=True)
dll=ctypes.CDLL(str(lib));dll.apply.argtypes=[ctypes.POINTER(ctypes.c_float),ctypes.c_float,ctypes.c_float,ctypes.c_int];dll.apply.restype=ctypes.c_int;libs.append(dll)
def eq(rho,u,v):
cu=cx*u+cy*v;return w*rho*(1+3*cu+4.5*cu*cu-1.5*(u*u+v*v))
def reference(f,u,v):
rho=(f[0]+f[3]+f[4]+2*(f[2]+f[6]+f[8]))/(1-u);e=eq(rho,u,v);k=f-e
pi=np.array([2*(k[2]+k[6]+k[8]),k[3]+k[4]+2*(k[6]+k[8]),2*(k[6]-k[8])])
stress=w*(4.5*((cx*cx-1/3)*pi[0]+(cy*cy-1/3)*pi[1])+9*cx*cy*pi[2])
return e,stress,pi
def apply(f,u,v,shifted,collision=0):
raw=np.asarray(f-shifted*w,dtype=np.float32);count=libs[shifted].apply(raw.ctypes.data_as(ctypes.POINTER(ctypes.c_float)),u,v,collision)
return raw.astype(float)+shifted*w,count
def test_moments_stress_and_shift():
rng=np.random.default_rng(92)
for _ in range(20):
f=eq(1.02,.003,0)+rng.normal(0,.001,9);e,s,pi=reference(f,.003,.001)
outputs=[]
for shifted in [0,1]:
out,count=apply(f,.003,.001,shifted);outputs.append(out)
assert count==0
np.testing.assert_allclose(out,e+s,atol=2e-7,rtol=0)
np.testing.assert_allclose(M@out,M@e,atol=3e-7,rtol=0)
np.testing.assert_allclose(Q@(out-e),pi,atol=2e-7,rtol=0)
np.testing.assert_allclose(*outputs,atol=2e-7,rtol=0)
def test_unknown_inputs_ignored_and_equilibrium():
for shifted in [0,1]:
f=eq(1.01,.004,0);out,_=apply(f,.004,0,shifted)
np.testing.assert_allclose(out,f,atol=2e-7,rtol=0)
f[[1,5,7]]=np.nan;ignored,_=apply(f,.004,0,shifted)
assert np.isfinite(ignored).all()
np.testing.assert_array_equal(out,ignored)
def test_exactly_once_srt():
f=eq(1,.003,0)+np.array([.001,0,.002,.003,-.001,0,.002,0,-.002]);e,s,_=reference(f,.003,0)
for shifted in [0,1]:
out,count=apply(f,.003,0,shifted,1)
assert count==1
np.testing.assert_allclose(out,e+(1-1/.524)*s,atol=3e-7,rtol=0)
assert np.max(abs(out-(e+(1-1/.524)**2*s)))>1e-4
source=(ROOT/'src/CelerisLab/lbm/kernels/step/one_step_double.cu').read_text()
part=source.split('#if DIM == 2',2)[-1].split('#elif DIM == 3')[0]
assert part.index('apply_boundary_pull(f,')<part.index('collide_dispatch(f,')<part.index('stream_pull_store(k,')
assert part.count('collide_dispatch(f,')==1
def test_config_guard_and_legacy_ids():
assert {k:INLET_SCHEME_MAP[k] for k in ['zou_he_local','channel_stabilized','equilibrium','regularized']}==dict(zou_he_local=0,channel_stabilized=1,equilibrium=2,regularized=3)
assert LBMConfig().inlet_scheme=='zou_he_local'
for shifted in [False,True]:
c=LBMConfig(inlet_scheme='experimental_regularized_full9',ddf_shifting=shifted);c.validate();assert c.to_macros()['INLET_SCHEME']==4
for change in [dict(collision='MRT'),dict(collision='TRT'),dict(streaming='esopull'),dict(store_precision='FP16S'),dict(les_enabled=True),dict(y_wall_bc='free_slip'),dict(lattice_model='D3Q19')]:
with unittest.TestCase().assertRaises(ValueError):LBMConfig(inlet_scheme='experimental_regularized_full9',**change).validate()
if __name__=='__main__':
result=unittest.TextTestRunner(verbosity=2).run(unittest.TestSuite(unittest.FunctionTestCase(fn) for name,fn in sorted(globals().items()) if name.startswith('test_')))
TEMP.cleanup();raise SystemExit(not result.wasSuccessful())
@@ -0,0 +1,41 @@
"""Experimental provenance and removal-only config checks, CPU only."""
from copy import deepcopy
from pathlib import Path
import sys
import unittest
sys.path.insert(0,str(Path(__file__).resolve().parent))
import run_bodyless as r
def test_config_only_boundary_changes():
cfg,body,p,manifest=r.configuration(r.ROOT)
import run_refined_dfg as runner
h,_=runner.helpers(r.ROOT);baseline,baseline_body,baseline_p=runner.config(h,80)
expected=deepcopy(baseline);expected['method']['inlet']['scheme']=r.VARIANT
assert cfg==expected and p==baseline_p
expected_body=deepcopy(baseline_body);expected_body['objects']=[]
assert body==expected_body
assert manifest['commit']=='926ca27407c26ca11283282a6e53249925725376'
assert cfg['method']['collision']=='SRT' and cfg['method']['outlet']['srt_neq_damp']==.5
def test_historical_manifest_rejects_candidate():
with unittest.TestCase().assertRaisesRegex(ValueError,'Pinned source mismatch'):
r.diagnostic.source_config(r.ROOT)
def test_different_runtime_checkout_rejected():
with unittest.TestCase().assertRaisesRegex(ValueError,'executing harness checkout'):
r.configuration(r.ROOT.parent)
def test_experimental_preflight():
import subprocess,json
from tempfile import TemporaryDirectory
with TemporaryDirectory() as temp:
subprocess.run([sys.executable,str(Path(r.__file__)),'--output',temp,'--record-inlet-history'],check=True,capture_output=True)
result=json.loads((Path(temp)/'preflight.json').read_text())
assert result['experimental_variant']==r.VARIANT
assert result['history_requested_steps']==[0,196] and result['max_steps']==320
assert not result['executed']
assert result['numerical_source_commit']=='926ca27407c26ca11283282a6e53249925725376'
if __name__=='__main__':
result=unittest.TextTestRunner(verbosity=2).run(unittest.TestSuite(unittest.FunctionTestCase(fn) for name,fn in sorted(globals().items()) if name.startswith('test_')))
raise SystemExit(not result.wasSuccessful())
+31 -5
View File
@@ -39,8 +39,8 @@ def helpers(source):
return h, periodic
def config(h, diameter):
cfg, body, p = h.make_config(diameter, SPEED, "SRT", "neq_extrap", "zou_he_local")
def config(h, diameter, inlet_scheme="zou_he_local"):
cfg, body, p = h.make_config(diameter, SPEED, "SRT", "neq_extrap", inlet_scheme)
cfg["method"]["outlet"]["srt_neq_damp"] = 0.5
return cfg, body, p
@@ -159,7 +159,8 @@ def verify_source(source):
return expected
def run_case(a, h, periodic, case):
def run_case(a, h, periodic, case, *, inlet_scheme="zou_he_local",
sparse_pilot=False, receipt_identity=None, progress=None):
from CelerisLab.simulation import Simulation
from CelerisLab.cuda.context import CudaContext
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
@@ -167,10 +168,18 @@ def run_case(a, h, periodic, case):
from contextlib import ExitStack
refined = case == "refined"
cfgdict, bodydict, p = config(h, 40 if refined else 80)
if refined and inlet_scheme != "zou_he_local":
raise ValueError("Experimental inlet is uniform-only")
cfgdict, bodydict, p = config(h, 40 if refined else 80, inlet_scheme)
identity = {} if receipt_identity is None else dict(receipt_identity)
calibration_batches = []
executed_steps = 0
cap = 5.0 if a.mode == "pilot" else 300.0
max_steps = math.ceil(cap * p["diameter"] / SPEED)
rows = []
if progress is not None:
progress.update(executed_steps=0, last_observed_step=0, history=rows,
calibration_batches_seconds=calibration_batches)
healthy = True
step_seconds = 0.0
started = time.monotonic()
@@ -233,7 +242,7 @@ def run_case(a, h, periodic, case):
check_deadline(a.deadline)
width = (
0.02
if a.mode == "pilot" or begin * SPEED / p["diameter"] >= 240
if (a.mode == "pilot" and not sparse_pilot) or begin * SPEED / p["diameter"] >= 240
else 0.5
)
n = min(max(1, round(width * p["diameter"] / SPEED)), max_steps - begin)
@@ -259,8 +268,14 @@ def run_case(a, h, periodic, case):
while done < n:
check_deadline(a.deadline)
batch = min(100, n - done)
batch_started = time.monotonic() if sparse_pilot else None
sim.run(batch)
executed_steps += batch
if progress is not None:
progress["executed_steps"] = executed_steps
impulse += sim.read_force(0).astype(np.float64) * batch
if sparse_pilot and len(calibration_batches) < 5:
calibration_batches.append(time.monotonic() - batch_started)
done += batch
check_deadline(a.deadline)
step_seconds += time.monotonic() - tick
@@ -320,6 +335,8 @@ def run_case(a, h, periodic, case):
check_deadline(a.deadline)
ensure_finite(row)
rows.append(row)
if progress is not None:
progress["last_observed_step"] = row["step"]
if writer is None:
writer = csv.DictWriter(out, fieldnames=row)
writer.writeheader()
@@ -335,6 +352,9 @@ def run_case(a, h, periodic, case):
break
if len(rows) == 1:
ready = dict(
**identity,
calibration_batches_seconds=calibration_batches,
calibration_note="First 100 steps warmup, next 400 timed; all included in trajectory and force interval",
case=case,
mode=a.mode,
step=begin,
@@ -347,6 +367,12 @@ def run_case(a, h, periodic, case):
)
print("READY " + json.dumps(ready, allow_nan=False), flush=True)
result = dict(
**identity,
calibration_batches_seconds=calibration_batches,
first_observed_failure_step=executed_steps if not healthy and not refined else None,
last_observed_step=rows[-1]["step"] if rows else 0,
failure_timing="First unhealthy observation; onset between observations is unknown" if not healthy else None,
executed_steps=executed_steps if not refined else begin,
case=case,
mode=a.mode,
history=rows,
@@ -0,0 +1,12 @@
unittest.case.FunctionTestCase (test_bounded_state_evidence) ... ok
unittest.case.FunctionTestCase (test_disjoint_complete_categories) ... ok
unittest.case.FunctionTestCase (test_exact_config_and_source) ... ok
unittest.case.FunctionTestCase (test_inactive_nonfinite_does_not_fail) ... ok
unittest.case.FunctionTestCase (test_original_safety_limits) ... ok
unittest.case.FunctionTestCase (test_population_macro_force_separate) ... ok
unittest.case.FunctionTestCase (test_source_guard_and_deadline) ... ok
----------------------------------------------------------------------
Ran 7 tests in 0.039s
OK
@@ -0,0 +1,312 @@
"""Read-only observations of the exact failed SRT control, at most 320 steps.
Default is CPU preflight. Execution requires root admission and an external watchdog.
No solver or numerical parameter modifications. --without-cylinder removes only the body;
all other geometry and the production initialization remain unchanged.
"""
import argparse
from copy import deepcopy
import hashlib
import importlib
import json
import math
import os
from pathlib import Path
import sys
import time
from tempfile import TemporaryDirectory
import numpy as np
HERE=Path(__file__).resolve().parent
DEFAULT_SOURCE=HERE.parents[2]
LIMIT_BYTES=128*1024**2
HISTORY_LIMIT_BYTES=12*1024**2
HISTORY_RESERVE_BYTES=64*1024
class InletHistory:
"""Optional copies of existing snapshots only; never changes solver/health stop."""
def __init__(self, flags, parameters, limit=HISTORY_LIMIT_BYTES):
self.flags = np.array(flags[:, :4], copy=True)
self.parameters = parameters
self.limit = limit
self.frames = []
self.steps = []
planned_bytes = 197 * (9 * self.flags.shape[0] * 4 * 4 + 24) + self.flags.nbytes
if planned_bytes + HISTORY_RESERVE_BYTES > self.limit:
raise ValueError('Requested history window exceeds 12 MiB budget')
def record(self, state):
if int(state['step']) > 196:
return
raw = state['raw']
if (raw.dtype != np.float32 or raw.ndim != 3 or raw.shape[0] != 9
or raw.shape[1] != self.flags.shape[0] or raw.shape[2] < 4):
raise ValueError('History requires raw shifted FP32 D2Q9 with four inlet columns')
step = int(state['step'])
if step != len(self.steps):
raise ValueError('History requires contiguous completed steps starting at zero')
frame = raw[:, :, :4]
self.frames.append(frame.copy())
self.steps.append(step)
def save(self, output, terminal_step):
steps = np.asarray(self.steps, dtype=np.int64)
raw = np.stack(self.frames) if self.frames else np.empty((0, 9, self.flags.shape[0], 4), np.float32)
path = output / 'inlet_history.npz'
np.savez(path, raw_shifted=raw, flags=self.flags, steps=steps,
time_s=steps * self.parameters['dt'],
tstar=steps * self.parameters['mean_speed'] / self.parameters['diameter'],
x_indices=np.arange(4), y_indices=np.arange(self.flags.shape[0]),
requested_step_range=np.array([0,196],np.int64),
diagnostic_terminal_step=np.array(terminal_step,np.int64))
size = path.stat().st_size
if size > self.limit:
raise RuntimeError('History exceeded its reserved artifact bound')
return dict(mode='inlet_raw_history', requested_first_step=0, requested_last_step=196,
complete_for_requested_window=len(steps)==197,
diagnostic_terminal_step=int(terminal_step), frames=len(steps),
first_step=None if not len(steps) else int(steps[0]),
last_step=None if not len(steps) else int(steps[-1]),
bytes=size, limit_bytes=self.limit,
sha256=hashlib.sha256(path.read_bytes()).hexdigest(),
layout='time,q,y,x; active postcollision raw shifted FP32; step zero is initialization',
window_policy='Recording stops after step196; evolution and health stopping remain unchanged')
def record_history(history, state):
if history is not None:
history.record(state)
def dump(path,value):
path.write_text(json.dumps(value,indent=2,allow_nan=False))
def number(value):
value=float(value)
return value if math.isfinite(value) else ('NaN' if math.isnan(value) else ('+Inf' if value>0 else '-Inf'))
def source_config(source, manifest_path=None):
manifest=json.loads((HERE/'source_manifest.json' if manifest_path is None else manifest_path).read_text())
for name,digest in {**manifest['sha256'],**manifest.get('runtime_sha256',{})}.items():
if hashlib.sha256((source/name).read_bytes()).hexdigest()!=digest:
raise ValueError('Pinned source mismatch: '+name)
sys.path.insert(0,str(source/'src')); sys.path.insert(0,str(source/'tests/validation'))
import CelerisLab
if Path(CelerisLab.__file__).resolve()!=source/'src/CelerisLab/__init__.py':
raise ValueError('Wrong CelerisLab import')
runner=importlib.import_module('run_refined_dfg')
if Path(runner.__file__).resolve()!=source/'tests/validation/run_refined_dfg.py':
raise ValueError('Wrong runner import')
h,_=runner.helpers(source)
cfg,body,p=runner.config(h,80) # Exact original config factory, not a reimplementation.
return cfg,body,p,manifest
def select_body(body, without_cylinder=False):
selected = deepcopy(body)
if without_cylinder:
if len(selected["objects"]) != 1 or selected["objects"][0]["type"] != "cylinder":
raise ValueError("Bodyless control requires exactly the original cylinder")
selected["objects"] = []
return selected
def body_force(sim, body):
# No body means no body-id 0 and no force observable; never fabricate zeros.
return sim.read_force(0).astype(np.float64) if body["objects"] else None
def categories(flags,p):
"""Disjoint physical categories; subtype nibble is not a bitfield."""
from CelerisLab.lbm.descriptors import FLUID,SOLID,OBSTACLE
y,x=np.indices(flags.shape); fluid=(flags&FLUID)!=0
masks={}; left=fluid.copy()
for name,test in (
('body_near',(x-p['center'][0])**2+(y-p['center'][1])**2 <= (p['radius']+3)**2),
('outlet_near',x>=flags.shape[1]-4),('inlet_near',x<=3),
('wall_near',(y<=3)|(y>=flags.shape[0]-4))):
masks[name]=left&test; left &= ~test
masks['bulk']=left
subtype=flags&0xf0
masks['inlet_ghost']=(~fluid)&(subtype==0x20)
masks['outlet_ghost']=(~fluid)&(subtype==0x30)
masks['wall_ghost']=(~fluid)&(subtype==0x10)
assigned=np.logical_or.reduce(list(masks.values()))
masks['body_solid']=(~assigned)&(((flags&OBSTACLE)!=0)|((flags&SOLID)!=0))
assigned|=masks['body_solid']; masks['other_inactive']=~assigned
return fluid,masks
def finite_extrema(a,mask):
good=mask&np.isfinite(a)
if not good.any(): return dict(min=None,max=None)
idx=np.flatnonzero(good); values=a.ravel()[idx]
lo=int(idx[np.argmin(values)]); hi=int(idx[np.argmax(values)])
return dict(min=float(a.ravel()[lo]),max=float(a.ravel()[hi]),
min_yx=list(map(int,np.unravel_index(lo,a.shape))),
max_yx=list(map(int,np.unravel_index(hi,a.shape))))
def diagnose(g,macro,force,flags,p,step):
fluid,masks=categories(flags,p)
badpop=~np.isfinite(g); badnode=badpop.any(axis=0)
badmacro=np.logical_or.reduce([~np.isfinite(macro[k]) for k in ('rho','ux','uy')])
with np.errstate(over='ignore',invalid='ignore'):
mach=np.sqrt(3*(np.asarray(macro['ux'],np.float64)**2+np.asarray(macro['uy'],np.float64)**2))
rho=macro['rho']
# Exactly the original physical macro/reaction conditions, now sampled each step.
nonfinite_macro=bool(np.any(badmacro&fluid))
force_bad=force is not None and not np.isfinite(force).all()
density_bad=bool(np.any(fluid&((rho<.5)|(rho>1.5))))
mach_bad=bool(np.any(fluid&(mach>.2)))
population_bad=bool(np.any(badnode&fluid))
original_failure=nonfinite_macro or force_bad or density_bad or mach_bad
offending=fluid&(badnode|badmacro|(rho<.5)|(rho>1.5)|(mach>.2))
examples=[]
for y,x in np.argwhere(offending)[:16]:
examples.append(dict(y=int(y),x=int(x),physical_xy_m=[float(x*p['dx']),float((y-.5)*p['dx'])],
category=next(name for name,mask in masks.items() if mask[y,x]),flag=int(flags[y,x]),
nonfinite_q=np.flatnonzero(badpop[:,y,x]).tolist(),
populations=[number(v) for v in g[:,y,x]],
rho=number(rho[y,x]),ux=number(macro['ux'][y,x]),uy=number(macro['uy'][y,x])))
neighborhoods=[]
for node in examples[:4]:
y,x=node['y'],node['x']; y0,y1=max(0,y-2),min(flags.shape[0],y+3); x0,x1=max(0,x-2),min(flags.shape[1],x+3)
neighborhoods.append(dict(bounds_xy=[x0,y0,x1,y1],flags=flags[y0:y1,x0:x1].tolist(),
physical_populations=[[[number(v) for v in row] for row in plane] for plane in g[:,y0:y1,x0:x1]]))
return dict(step=step,tstar=step*p['mean_speed']/p['diameter'],
physical_failure=bool(original_failure or population_bad),
original_health_failure=bool(original_failure),
physical_population_nonfinite=population_bad,physical_macro_nonfinite=nonfinite_macro,
force_nonfinite=bool(force_bad),density_limit=density_bad,mach_limit=mach_bad,
force=None if force is None else [number(v) for v in force],
categories={name:dict(nodes=int(mask.sum()),nonfinite_population_nodes=int((mask&badnode).sum()),
nonfinite_populations=int(badpop[:,mask].sum()),nonfinite_macro_nodes=int((mask&badmacro).sum()))
for name,mask in masks.items()},
rho=finite_extrema(rho,fluid),mach=finite_extrema(mach,fluid),
first_physical_examples=examples,local_neighborhoods=neighborhoods)
def snapshot(sim,p):
# Public physical decode and original production macro path. No host reconstruction
# substitutes for the original health check. get_ddf shares its completed-step cache.
with np.errstate(all='ignore'):
macro={k:np.asarray(v).copy() for k,v in sim.get_macroscopic().items()}
g=sim.get_ddf().reshape(9,p['ny'],p['nx'])
import pycuda.driver as cuda
raw=np.empty_like(g,dtype=np.float32)
with sim.ctx.activate():
cuda.memcpy_dtoh(raw,sim.field.ddf_gpu)
return dict(raw=raw,g=g,macro=macro,step=int(sim.stepper.step_count))
def save_states(dest,previous,current,flags,diagnostic):
"""Two states only; raw shifted bits and decoded observations, no trajectory."""
arrays={'flags':flags}
for name,state in (('previous',previous),('current',current)):
if state is None: continue
arrays[name+'_raw_shifted']=state['raw']
arrays[name+'_physical']=state['g']
arrays[name+'_step']=np.array(state['step'],np.int64)
# At D80, raw+physical for two states ~84 MiB; reserve >4 MiB for JSON/NPZ overhead.
if sum(v.nbytes for v in arrays.values())>LIMIT_BYTES-4*1024**2:
raise ValueError('Evidence arrays exceed bounded artifact budget')
np.savez(dest/'states.npz',**arrays)
dump(dest/'diagnostics.json',diagnostic)
size=sum(p.stat().st_size for p in dest.iterdir() if p.is_file())
if size>LIMIT_BYTES: raise RuntimeError('Evidence directory exceeds 128 MiB')
return size
def deadline_check(deadline):
if time.monotonic()>=deadline: raise TimeoutError('Diagnostic wall ceiling reached')
def execute(a,cfg,body,p):
from CelerisLab.simulation import Simulation
started=time.monotonic(); deadline=started+a.wall_seconds
previous=None; prior_report=None; initial_report=None
with TemporaryDirectory() as temp:
temp=Path(temp); dump(temp/'lbm.json',cfg); dump(temp/'body.json',body)
with Simulation(str(temp/'lbm.json'),str(temp/'body.json'),device_id=0) as sim:
sim.initialize() # Exact original production initialization, unchanged.
flags=sim.get_flags().reshape(p['ny'],p['nx'])
current=snapshot(sim,p)
history=InletHistory(flags,p) if a.record_inlet_history else None
record_history(history,current)
initial_report=diagnose(current['g'],current['macro'],None,flags,p,0)
report=initial_report; status='initial_physical_failure' if report['physical_failure'] else 'step_cap_reached'
try:
deadline_check(deadline)
if not report['physical_failure']:
for _ in range(320):
deadline_check(deadline)
previous=current; prior_report=report
sim.run(1) # Same solver; observation buffers reset/read once per step.
force=body_force(sim,body)
current=snapshot(sim,p)
record_history(history,current)
report=diagnose(current['g'],current['macro'],force,flags,p,current['step'])
if current['step']==1:
print('READY '+json.dumps(dict(**a.identity,step=1,all_observation_paths_exercised=True,
physical_healthy=not report['physical_failure']),allow_nan=False),flush=True)
if report['physical_failure']:
status='first_physical_failure'; break
deadline_check(deadline)
except TimeoutError:
status='wall_time_limit'
details=dict(**a.identity,status=status,executed_steps=int(sim.stepper.step_count),
observation_step=current['step'],previous_observation_step=None if previous is None else previous['step'],
initial=initial_report,preceding=prior_report,current=report,
wall_seconds=time.monotonic()-started,
storage='raw_shifted FP32 is exact active-buffer data; physical is production FP32 decoded G. Both are diagnostic snapshots, not complete restart checkpoints.',
health_scope='Physical FLUID nodes and force only; ghost/body categories cannot independently trigger physical failure.',
interpretation='Near-region labels locate symptoms, not the root cause. Per-step inspection changes observation cadence only. No physical acceptance.')
if history is not None:
details['inlet_history']=history.save(a.output,current['step'])
size=save_states(a.output,previous,current,flags,details)
print(json.dumps(dict(**a.identity,status=status,executed_steps=int(sim.stepper.step_count),evidence_bytes=size),allow_nan=False),flush=True)
return 0 if status=='step_cap_reached' else 2
def main():
parser=argparse.ArgumentParser(description=__doc__)
parser.add_argument('--source',type=Path,default=DEFAULT_SOURCE)
parser.add_argument('--output',type=Path,required=True)
parser.add_argument('--execute',action='store_true')
parser.add_argument('--without-cylinder',action='store_true',
help='Remove only the cylinder for the bounded inlet control')
parser.add_argument('--record-inlet-history',action='store_true',
help='Record bounded raw x0..3 history without changing health stopping')
parser.add_argument('--gpu-admitted',action='store_true')
parser.add_argument('--wall-seconds',type=float)
a=parser.parse_args(); a.source=a.source.resolve()
cfg,body,p,manifest=source_config(a.source)
body=select_body(body,a.without_cylinder)
from source_provenance import checkout_provenance
a.identity=dict(observation_mode='inlet_raw_history' if a.record_inlet_history else 'first_health_pair',
history_limit_bytes=HISTORY_LIMIT_BYTES if a.record_inlet_history else None,
history_requested_steps=[0,196] if a.record_inlet_history else None,
control="without_cylinder" if a.without_cylinder else "baseline_cylinder",
force_observation="not_applicable_no_body" if a.without_cylinder else "per_step_body_reaction",
baseline_diagnostic_commit="8e378aa047bb35ae4ec46037eff7256bd2f074e7",
diagnostic_checkout=checkout_provenance(DEFAULT_SOURCE),
numerical_checkout=checkout_provenance(a.source),
diagnostic_sha256=hashlib.sha256(Path(__file__).read_bytes()).hexdigest())
if a.output.exists() and any(a.output.iterdir()): raise ValueError('Use a new/empty output directory')
if a.execute and (not a.gpu_admitted or not os.environ.get('CUDA_VISIBLE_DEVICES') or
a.wall_seconds is None or not math.isfinite(a.wall_seconds) or a.wall_seconds<=0):
raise ValueError('Explicit root admission, device selection and finite wall ceiling required')
a.output.mkdir(parents=True,exist_ok=True)
dump(a.output/'preflight.json',dict(**a.identity,source=manifest,config=cfg,body=body,parameters=p,
max_steps=320,
max_evidence_bytes=LIMIT_BYTES,executed=False))
if not a.execute: return 0
return execute(a,cfg,body,p)
if __name__=='__main__': raise SystemExit(main())
@@ -0,0 +1,112 @@
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}
}
@@ -0,0 +1,132 @@
"""CPU-only synthetic diagnostic and source-contract tests; no simulation results."""
import json
from pathlib import Path
import sys
from tempfile import TemporaryDirectory
import unittest
import numpy as np
sys.path.insert(0,str(Path(__file__).resolve().parent))
import diagnose_uniform_srt as d
cfg,body,p,manifest=d.source_config(d.DEFAULT_SOURCE)
def fixture():
flags=np.ones((12,20),np.uint16)
flags[:,0]=2|0x20; flags[:,-1]=2|0x30
flags[[0,-1]]=2|0x10; flags[5,6]=2|0x40|0x200
g=np.full((9,12,20),1/9,np.float32)
macro=dict(rho=np.ones((12,20)),ux=np.zeros((12,20)),uy=np.zeros((12,20)))
params=dict(center=[6,5],radius=1,dx=.1,mean_speed=.01,diameter=80)
return g,macro,flags,params
def test_exact_config_and_source():
assert manifest['commit']=='9805383f9c50d867e8555471baf5dbda8333a652'
assert p['diameter']==80 and p['mean_speed']==.01 and p['nx']==1761 and p['ny']==330
assert cfg['method']['collision']=='SRT' and cfg['method']['ddf_shifting']
assert cfg['method']['outlet']['srt_neq_damp']==.5
assert np.isclose(3*p['viscosity']+.5,.524)
assert body['objects'][0]['center']==[160,160.5]
def test_inactive_nonfinite_does_not_fail():
g,m,f,p=fixture(); fluid,_=d.categories(f,p)
g[:,~fluid]=np.nan
for a in m.values(): a[~fluid]=np.nan
r=d.diagnose(g,m,np.zeros(2),f,p,1)
assert not r['physical_failure']
assert r['categories']['body_solid']['nonfinite_population_nodes']==1
assert r['categories']['outlet_ghost']['nodes']==10
assert r['categories']['inlet_ghost']['nodes']==10
json.dumps(r,allow_nan=False)
def test_population_macro_force_separate():
g,m,f,p=fixture(); g[4,6,17]=np.inf
r=d.diagnose(g,m,np.zeros(2),f,p,27)
assert r['physical_failure'] and r['physical_population_nonfinite']
assert not r['original_health_failure'] and not r['force_nonfinite']
assert r['first_physical_examples'][0]['category']=='outlet_near'
assert r['first_physical_examples'][0]['nonfinite_q']==[4]
assert r['first_physical_examples'][0]['populations'][4]=='+Inf'
json.dumps(r,allow_nan=False)
g,m,f,p=fixture(); m['ux'][6,10]=np.nan
r=d.diagnose(g,m,np.zeros(2),f,p,28)
assert r['physical_macro_nonfinite'] and not r['physical_population_nonfinite']
assert not r['force_nonfinite'] and r['original_health_failure']
g,m,f,p=fixture(); r=d.diagnose(g,m,np.array([np.nan,0]),f,p,29)
assert r['force_nonfinite'] and not r['physical_macro_nonfinite']
assert not r['first_physical_examples']
def test_original_safety_limits():
g,m,f,p=fixture(); m['rho'][5,7]=.49
r=d.diagnose(g,m,[0,0],f,p,1)
assert r['density_limit'] and r['first_physical_examples'][0]['category']=='body_near'
g,m,f,p=fixture(); m['ux'][6,10]=.2
assert d.diagnose(g,m,[0,0],f,p,1)['mach_limit']
def test_disjoint_complete_categories():
_,_,f,p=fixture(); fluid,masks=d.categories(f,p)
np.testing.assert_array_equal(sum(mask.astype(int) for mask in masks.values()),np.ones(f.shape))
physical=sum(masks[k].astype(int) for k in ('body_near','inlet_near','outlet_near','wall_near','bulk'))
np.testing.assert_array_equal(physical,fluid.astype(int))
def test_bounded_state_evidence():
g,m,f,p=fixture(); state=dict(raw=g.copy(),g=g,macro=m,step=1)
with TemporaryDirectory() as tmp:
dest=Path(tmp); size=d.save_states(dest,state,state,f,{'status':'synthetic_test'})
assert size<d.LIMIT_BYTES
with np.load(dest/'states.npz') as saved:
np.testing.assert_array_equal(saved['previous_raw_shifted'],g)
np.testing.assert_array_equal(saved['current_physical'],g)
assert sorted(x.name for x in dest.iterdir())==['diagnostics.json','states.npz']
actual_bytes=4*(9*330*1761*4)+(330*1761*2)+16
assert actual_bytes<d.LIMIT_BYTES-4*1024**2
def test_source_guard_and_deadline():
with TemporaryDirectory() as tmp:
with unittest.TestCase().assertRaises((ValueError,FileNotFoundError)):
d.source_config(Path(tmp))
with unittest.TestCase().assertRaises(TimeoutError): d.deadline_check(0)
def test_bodyless_selection_preserves_baseline():
from copy import deepcopy
baseline_config, baseline_body, baseline_parameters = deepcopy((cfg,body,p))
selected = d.select_body(body,True)
assert selected == {"objects": []}
assert (cfg,body,p) == (baseline_config,baseline_body,baseline_parameters)
assert d.select_body(body) == baseline_body
assert d.select_body(body) is not body
assert p['nx']==1761 and p['ny']==330 and p['mean_speed']==.01
assert np.isclose(3*p['viscosity']+.5,.524)
for invalid in ({"objects":[]},{"objects":body['objects']*2},
{"objects":[{"type":"other"}]}):
with unittest.TestCase().assertRaises(ValueError): d.select_body(invalid,True)
def test_absent_force_is_not_zero_or_read():
class FakeSimulation:
def __init__(self): self.calls=[]
def read_force(self,index):
self.calls.append(index)
return np.array([1.,2.],np.float32)
sim=FakeSimulation()
assert d.body_force(sim,{"objects":[]}) is None and not sim.calls
np.testing.assert_array_equal(d.body_force(sim,body),[1.,2.])
assert sim.calls==[0]
g,m,f,params=fixture()
report=d.diagnose(g,m,None,f,params,1)
assert report['force'] is None and not report['force_nonfinite']
m['ux'][3,1]=.2
assert d.diagnose(g,m,None,f,params,2)['physical_failure']
if __name__=='__main__':
result=unittest.TextTestRunner(verbosity=2).run(unittest.TestSuite(
unittest.FunctionTestCase(fn) for name,fn in sorted(globals().items()) if name.startswith('test_')))
raise SystemExit(not result.wasSuccessful())
@@ -0,0 +1,91 @@
"""CPU-only fixed-window observation tests; no GPU or simulated acceptance."""
from contextlib import redirect_stdout
from io import StringIO
from pathlib import Path
from tempfile import TemporaryDirectory
from types import SimpleNamespace, ModuleType
from unittest.mock import patch
import json
import sys
import unittest
import numpy as np
sys.path.insert(0,str(Path(__file__).resolve().parent))
import diagnose_uniform_srt as d
def test_raw_bits_copy_and_prefix():
flags=np.ones((12,20),np.uint16);p=dict(dt=.25,mean_speed=.01,diameter=80)
h=d.InletHistory(flags,p)
raw=np.arange(9*12*20,dtype=np.uint32).reshape(9,12,20).view(np.float32)
raw[0,0,0]=np.float32(-0.)
expected=raw[:,:,:4].view(np.uint32).copy()
h.record(dict(raw=raw,step=0)); raw.fill(7); flags.fill(0)
h.record(dict(raw=raw,step=1))
with TemporaryDirectory() as temp:
receipt=h.save(Path(temp),1);z=np.load(Path(temp)/'inlet_history.npz')
np.testing.assert_array_equal(z['raw_shifted'][0].view(np.uint32),expected)
assert np.all(z['flags']==1)
np.testing.assert_array_equal(z['steps'],[0,1])
np.testing.assert_array_equal(z['time_s'],[0,.25])
np.testing.assert_array_equal(z['tstar'],[0,.01/80])
assert not receipt['complete_for_requested_window'] and receipt['diagnostic_terminal_step']==1
def test_fixed_window_bound_and_late_stop():
flags=np.ones((330,1761),np.uint16);p=dict(dt=.1,mean_speed=.01,diameter=80)
h=d.InletHistory(flags,p);raw=np.zeros((9,330,4),np.float32)
for step in range(321):h.record(dict(raw=raw,step=step))
assert len(h.frames)==197
with TemporaryDirectory() as temp:
r=h.save(Path(temp),320)
assert r['complete_for_requested_window'] and r['last_step']==196 and r['diagnostic_terminal_step']==320
assert r['bytes']<d.HISTORY_LIMIT_BYTES
with unittest.TestCase().assertRaises(ValueError):d.InletHistory(flags,p,limit=100)
with unittest.TestCase().assertRaises(ValueError):
d.InletHistory(flags,p).record(dict(raw=np.zeros((9,331,4),np.float32),step=0))
def test_off_by_default():
import subprocess
with TemporaryDirectory() as temp:
subprocess.run([sys.executable,str(Path(d.__file__)),'--output',temp],check=True,capture_output=True)
r=json.loads((Path(temp)/'preflight.json').read_text())
assert r['observation_mode']=='first_health_pair' and r['history_requested_steps'] is None
assert not (Path(temp)/'inlet_history.npz').exists()
# Off-path must not inspect or modify observation state.
d.record_history(None,object())
def test_execution_identical_and_failure_included():
class Sim:
def __init__(self,*args,**kwargs):self.stepper=SimpleNamespace(step_count=0);self.calls=[]
def __enter__(self):instances.append(self);return self
def __exit__(self,*args):pass
def initialize(self):self.calls.append('initialize')
def get_flags(self):return np.ones((12,20),np.uint16)
def run(self,n):self.calls.append(('run',n));self.stepper.step_count+=n
module=ModuleType('CelerisLab.simulation');module.Simulation=Sim
def snapshot(sim,p):
raw=np.full((9,12,20),sim.stepper.step_count,np.float32)
return dict(raw=raw,g=raw.copy(),macro={},step=sim.stepper.step_count)
def diagnose(g,m,f,flags,p,step):return dict(physical_failure=step==3)
p=dict(ny=12,nx=20,dt=.1,mean_speed=.01,diameter=80);instances=[];details=[]
def save(output,prev,current,flags,report):details.append((prev['step'],current['step'],report));return 0
with patch.dict(sys.modules,{'CelerisLab.simulation':module}),patch.object(d,'snapshot',snapshot),patch.object(d,'diagnose',diagnose),patch.object(d,'save_states',save),redirect_stdout(StringIO()):
for enabled in [False,True]:
with TemporaryDirectory() as temp:
a=SimpleNamespace(wall_seconds=100,output=Path(temp),identity={},record_inlet_history=enabled)
assert d.execute(a,{},dict(objects=[]),p)==2
if enabled:
z=np.load(Path(temp)/'inlet_history.npz')
np.testing.assert_array_equal(z['steps'],[0,1,2,3])
assert np.all(z['raw_shifted'][-1]==3)
assert details[-1][2]['inlet_history']['diagnostic_terminal_step']==3
assert instances[0].calls==instances[1].calls==['initialize',('run',1),('run',1),('run',1)]
assert [(p,c) for p,c,_ in details]==[(2,3),(2,3)]
assert details[0][2]['status']==details[1][2]['status']=='first_physical_failure'
if __name__=='__main__':
result=unittest.TextTestRunner(verbosity=2).run(unittest.TestSuite(
unittest.FunctionTestCase(fn) for name,fn in sorted(globals().items()) if name.startswith('test_')))
raise SystemExit(not result.wasSuccessful())