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ClaudeandClaude Opus 5.5 26f29b09ef docs: S0 draft — wall impulse in momentum ledger, no_donor is a hard failure
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-30 06:27:02 +00:00
ClaudeandClaude Opus 5.5 f42b269a00 docs: S0 draft — S1 execution guard for moving bodies before S2
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-30 06:23:31 +00:00
ClaudeandClaude Opus 5.5 adbed8ae7e docs: S0 draft — single 0.5-cell bound, hold steps carry no translational wall velocity
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-30 06:22:44 +00:00
ClaudeandClaude Opus 5.5 421b90f5d2 docs: S0 draft — applied/pending motion state, donor sets, mass ledger, pre-kernel gate conditions
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-30 06:20:31 +00:00
ClaudeandClaude Opus 5.5 ba34871571 docs: S0 draft — align commit wording, name prescribed-study observable
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-30 06:16:10 +00:00
ClaudeandClaude Opus 5.5 2c1ad7f793 docs: S0 draft — fail-closed motion commit, derived centres, candidate tolerances, S1 scope
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-30 06:15:13 +00:00
ClaudeandClaude Opus 5.5 f976682b7f docs: S0 draft — moving-link exclusivity, branch ledger, Leontini definitions
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-30 06:13:10 +00:00
ClaudeandClaude Opus 5.5 b89acd784a docs: draft S0 contract for moving circles (not frozen)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-30 06:07:29 +00:00
26 changed files with 21 additions and 2998 deletions
-6
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@@ -394,12 +394,6 @@ 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 |
+2 -2
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@@ -6,8 +6,8 @@ it is; it adds no framework. Line references are to candidate 0f8fdbc3.
| Class | Contents | How it changes | Owner rule |
|---|---|---|---|
| 1. Module and its globals | Compile-time (visible to the compiler, fixed per module): `config.h` macros incl. `NX`/`NY`, `COLLISION_MODEL`, `BLOCK_ROOT_BC`, `WALL_*`. Runtime per-module globals (not visible to the compiler; written by host code): `__constant__` `d_params`, `d_w`, `d_cx`, `d_cy`, `d_block_channel`, `d_block_wall`; plus bound kernel handles | Globals are written once by the owner right after `load_module`. Uniform grid: `Simulation._recompile` (construction, body-topology sync) loads a new module and re-uploads; `update_runtime_params` rewrites `d_params` (omega, force, n_objects) between runs. Steppers: never rewritten after construction, so they are immutable for the instance's lifetime although they are runtime values. The blocked slot/reservoir root reads its slot from the `d_block_wall` constant (the former dense route used `WALL_*` macros; both were bit-identical in the parity gates). | Every owner loads its own module (`compiler.load_module` = `module_from_file`, no cache). A loaded module is never shared between live owners: globals are per module, so sharing would share mutable `d_params`. |
| 2. Geometry, layout, tables | flags, curved-link tables, block layouts and halo pairs, transfer (explode/coalesce) tables, block kinds | Immutable for the life of an instance, except translating circles on the uniform grid: their swept-band flags and cut links are rewritten on the device every advancing step (`MovingCircleCells`/`MovingCircleLinks`, docs/moving_bodies.md); the host flag mirror is then stale for those cells. Uniform grid otherwise: rebuilt by body sync. `FixedPatchStepper`: a geometry change is a new instance (`remap_finest`), committed only after a successful transfer. | No in-place table edits. |
| 3. Controls and dependent boundary columns | Jet amplitude -> per-link `surface_velocity`; body actions (uniform grid) | Between steps, without a table or module rebuild (`set_jet_amplitude`). | Input (index, level, amplitude) is validated before any device write; invalid input changes nothing and the instance stays usable. The host copy commits only after the upload returned. Any error after validation leaves the device column undefined and fails the instance: `FixedPatchStepper` status `failed`, `Simulation._failed`; every later device-touching public method (`Simulation`: `stream`, `set_jet_amplitude`, `initialize`, `sync_bodies`, `run`/`step`, `read_surface_exchange`, `read_body(s)`, `get_macroscopic`, `get_ddf`, `update_runtime_params`, `snapshot`, `restore`, save/load checkpoint) raises; cached host readers and host-side staging (e.g. `get_flags` without translating circles, `add_body`/`remove_body` before a sync) do not touch the device and stay callable; with translating circles `get_flags` reads the device flags back and refuses after a failure. Translating-circle targets follow the same rule: `set_body` validates before mutation, the applied offset commits only after a successful synchronized step, and a failed moving step fails the instance (docs/moving_bodies.md). `close()` still releases resources and stays retryable. |
| 2. Geometry, layout, tables | flags, curved-link tables, block layouts and halo pairs, transfer (explode/coalesce) tables, block kinds | Immutable for the life of an instance. Uniform grid: rebuilt by body sync. `FixedPatchStepper`: a geometry change is a new instance (`remap_finest`), committed only after a successful transfer. | No in-place table edits. |
| 3. Controls and dependent boundary columns | Jet amplitude -> per-link `surface_velocity`; body actions (uniform grid) | Between steps, without a table or module rebuild (`set_jet_amplitude`). | Input (index, level, amplitude) is validated before any device write; invalid input changes nothing and the instance stays usable. The host copy commits only after the upload returned. Any error after validation leaves the device column undefined and fails the instance: `FixedPatchStepper` status `failed`, `Simulation._failed`; every later device-touching public method (`Simulation`: `stream`, `set_jet_amplitude`, `initialize`, `sync_bodies`, `run`/`step`, `read_surface_exchange`, `read_body(s)`, `get_macroscopic`, `get_ddf`, `update_runtime_params`, `snapshot`, `restore`, save/load checkpoint) raises; cached host readers and host-side staging (e.g. `get_flags`, `add_body`/`remove_body` before a sync) do not touch the device and stay callable. `close()` still releases resources and stays retryable. |
| 4. Per-step state | population double buffers and their parity, raw-exchange ledgers, observations | Device-only during `step(n)` / `run(n)`; buffer swaps are host-handle swaps. | Valid on the host only after the single wait at the end of the call. |
Storage routes are separate concerns:
+11 -123
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@@ -1,65 +1,12 @@
# Moving circles on the uniform dense grid
# Moving circles on the uniform dense grid — S0 DRAFT contract
## Status and user guide (current)
Status: **DRAFT for review, not frozen.** No implementation exists. Base: main
`b2034f87e03656c5f67ab88562a70d6c338b9918`. Scope approved by Frank (via TRON,
thread C0C78UFKGRM/1793335557.460509): uniform-grid prescribed translation and
single-cylinder free transverse VIV. Out of scope: refinement/blocked path,
pinball assembly, EsoPull, shifted storage, D3Q19, DynamisLab, manuscript.
Development-stage feature, integrated from the reviewed slices S1–S3a
(production code identical to `653fd997`). Physical evidence and its limits:
`docs/validation/moving_bodies_stage1.md`. The force used as a structural RHS
is a declared stage choice, not an established result.
*What it does.* Translating circles (with optional spin) on the dense
double-buffer D2Q9 path: per-step cut links from an FP64 geometry record
(M2 `MovingCircleLinks`), reclassification and refill of covered/uncovered
cells (M1 `MovingCircleCells`), moving-wall Bouzidi with wall velocity
`u + omega x r`, and separate per-body diagnostics.
*API.*
- `Simulation.add_body("circle", center=(x, y), radius=r,
translation=Translation(offset_box, max_speed))` before `initialize()`;
`offset_box = (x_min, x_max, y_min, y_max)` in lattice cells around the
base centre (must contain 0), `0 < max_speed ≤ .5`.
- `set_body(id, offset=(dx, dy), vx=..., vy=..., omega=...)` sets a pending
target (validated against the applied offset: box, Euclidean step ≤ .5
cell, speed, no sliding hold); `vx`/`vy` are the interval wall velocity.
- `run(1)` advances a pending target and commits it only after the step
synchronizes with `no_donor == 0`; `run(n > 1)` with a pending target
raises; without a target `run(n)` holds the geometry (spin allowed).
Direct `LBMStepper.step` refuses while a target is pending.
- `moving_diagnostics()` returns per body the columns of
`MovingTables.DIAG` (CME, Wen term, link mass, cover/uncover momentum and
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 /
blocked steppers, Jets or surface actuation on a moving circle,
`sync_bodies` and checkpoints while a moving circle exists, swept bands that
touch the domain edge, other bodies, sensors or force regions.
*Failure lifecycle.* Device-side failures (upload, step, sync, no_donor)
mark the Simulation failed; later run/step/sync/checkpoint calls and direct
stepper calls refuse until `close()`.
*Known limitations.* No mass correction at curved walls (static or moving);
cover/uncover and Wen terms are diagnostics, not a selected force law; the
host loop costs a fixed per-step synchronization (≈ 1 ms/step measured on a
7.2 M-cell grid, run(1) class); outer boundaries are the single dense
channel package (see `configs/CONFIG.md`).
## Design record (staged contract, kept as written)
The sections below are the contract the slices were reviewed against
(S0 → S3a). They are kept unchanged for provenance; where they say "draft",
"proposed" or "until S2/S3", the status above supersedes them.
Original scope (Frank via TRON, thread C0C78UFKGRM/1793335557.460509):
uniform-grid prescribed translation and single-cylinder free transverse VIV;
base main `b2034f87e03656c5f67ab88562a70d6c338b9918`.
Items marked **OPEN** are undecided; items marked **CANDIDATE** are proposals.
## 1. Working standards
@@ -128,7 +75,7 @@ arithmetic are unchanged.
Completeness: after M1, every (fluid cell, direction) pair in the swept band
whose neighbour is `in_new` is visited by M2. This holds because the band is
the circle AABB at the declared extreme offsets plus 2 cells, and the host
rejects per-step moves with `|c_new - c_old|_2 > 0.5` and bands touching the domain edge,
rejects per-step moves of 1 cell or more and bands touching the domain edge,
other bodies, sensors or force regions. Each M2 write lands at
`index_f(k_s, opp)`, the exact slot the adjacent fluid cell pulls, so every
fluid pull from a solid slot of a moving body is BFL-written.
@@ -158,9 +105,8 @@ Two distinct facts per moving body, one authority each:
by a successful commit; `pending` = an optional requested target
`(offset, velocity)`, changed only by `set_body`. A setter returning proves
nothing about the device. The uploaded motion record is derived each run:
`{c_old = base + applied, c_new = base + (pending.offset if pending is not
None else applied), u = pending.velocity if pending is not None else 0}`
(explicit `is not None`, so a zero offset or zero velocity is a valid target). Translational wall velocity exists only on a step
`{c_old = base + applied, c_new = base + (pending.offset or applied),
u = pending.velocity or 0}`. Translational wall velocity exists only on a step
that advances to a pending target; a hold step (`c_old == c_new`) has
translational `u_w = 0` (spin unchanged), so a non-advancing circle never
acts as a sliding wall. One moving step consumes one target.
@@ -168,9 +114,8 @@ acts as a sliding wall. One moving step consumes one target.
| situation | contract |
|---|---|
| `set_body` target | validated against `applied` (box, `|Δc|_2 ≤ 0.5` cell, speed bound) before mutation; on success replaces `pending` |
| target with `offset == applied` and nonzero translational velocity | `ValueError` before mutation (would be a hold step with sliding wall velocity) |
| two setters before a run | last wins; each validated against `applied`, not against the earlier pending target |
| `run(1)` with pending | upload record, step, sync; on success `applied := pending.offset` (applied stores only the offset), `pending := None` |
| `run(1)` with pending | upload record, step, sync; on success `applied := pending`, `pending := None` |
| `run(1)` without pending | hold: `c_old == c_new`, no cover/uncover, links at `applied`, translational `u_w = 0` |
| `run(n > 1)` with pending | `ValueError` before mutation (single-step-only moving API) |
| `run(n > 1)`, no pending | allowed: hold for n steps, translational `u_w = 0`, spin only |
@@ -386,63 +331,6 @@ recorded as not runnable rather than replaced by another test.
run with a moving body raises before upload/launch; stationary unaffected). No kernels, no GPU runs, no
y-only VIV oscillator (S4), no force RHS.
## 10a. S2a — fixed-centre moving links (implemented on `claude/moving-bodies-s2a`)
- `MovingCircleLinks` (`kernels/step/moving_circle.cu`, dense double buffer)
runs before the static curved kernel when moving tables are attached: one
thread per (band cell, direction) slot, FP64 `{cx, cy, r}` at the applied
offset, q/hit/clamp/fallback in the order of `build_cut_links` with explicit
`_rn` operations (host/device bit parity is a test target, not a claim),
then the unchanged `apply_bouzidi_link` with spin wall velocity only.
- `obs` keeps its contract (CME and torque from `apply_bouzidi_link`). A
separate per-body diagnostics buffer receives `cme`, the Wen term
`u_w * dm`, `link_dm` and the link count from the same link outputs; it is
zeroed with obs and only exists when moving circles do. Optional
`slot_debug` (q, fallback, rx, ry per slot) is null in production.
- Displacement is disabled: `set_body(offset=..., vx=..., vy=...)` on a
translating circle raises before mutation, before and after initialize, so
no pending target can exist and `run`/`step`/direct `LBMStepper.step` all
hold at the applied geometry. `initialize()` never reads or consumes
`pending`. `stepper.blocked` is cleared only when the moving tables are
attached (initialize, stepper recreation).
- S3 rule (not implemented): once targets are re-enabled, any pending target
must raise in `run`/`step` and in `LBMStepper.step` alike before any launch,
swap or step-count change; zero-step calls never consume it.
- Not validation: a pass of the zero-motion gates says nothing about moving
geometry. GPU parity (G0a/G0b) is unverified until run on a free device.
## 10b. S3a — translation with refill (implemented on `claude/moving-bodies-s3a`)
- Targets are enabled again (4a). `set_body(offset, vx, vy)` validates against
`applied`; a pending target blocks direct `LBMStepper.step(n > 0)` before any
launch; `run(n > 1)` with a target raises before mutation; `run(0)` never
consumes it; `run(1)` advances it.
- Per advancing step, on one stream: upload the immutable FP64 records
`{c_old, c_new, r, u}` (only when changed) → M1 `MovingCircleCells` → M2
`MovingCircleLinks` (`u_w = u + omega x r` at the hit point) → static curved →
`OneStep` → swap → force region → sensors → synchronize → read `no_donor` →
commit (`applied := pending.offset`) → upload the hold record
(`c_old = c_new = applied`, `u = 0`) → synchronize. Hold steps launch no M1
and are the S2a path. Commit point: the advancing step-group sync plus a
zero `no_donor` count; a failure before it commits nothing. The hold-record
upload stages the next step after the commit: if it (or its sync) fails,
`applied` already matches the moved device geometry, but the Simulation is
still marked failed and refuses reuse. Any failure from the first upload on
marks the circles and the Simulation failed.
- M1 classifies with the old/new predicates only (no flag reads). Covered
cells add raw `sum c G` / `sum G` of `G^{n-1}` to `cover_*` and become
`SOLID|OBSTACLE|BC_CURVED`. Uncovered cells: donors are fluid in both
geometries; `rho_bar` over all of them; NEQ from the donor with the largest
unnormalized `c·n > 0` (first direction wins ties, `n` from `c_new`);
`u_w` (translation + spin) at the cell position; all nine slots written;
raw `sum c G`, `sum G` of the refill go to `uncover_*`; no donor →
`f_eq(RHO, u_w)` plus `no_donor` (hard failure before commit); no NEQ donor
→ `eq_only`.
- `get_flags()` reads the device flags back (synchronized) when moving tables
exist; otherwise it returns the host array as before.
- Not selected: the structural force. CME+node vs CME+Wen stay OPEN until X1
and G4 have run.
## 11. Remaining decisions
Structural RHS (section 6); motion-record layout; refill details; coupling
-7
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@@ -82,13 +82,6 @@ Tests: `tests/unit/test_jets.py`, `test_jets_review.py`, `test_shifted_jets.py`,
- DFG 2D-1 Re 20 (V4, SRT, t* 60, pressure-NEQ outlet and local Zou-He inlet): refined and uniform
runs were NOT_STEADY under the frozen steady rule, so no interval verdict was given.
## Moving circles (dense `Simulation`, uniform grid only)
Translating circles with optional spin are supported on the dense double
buffer D2Q9 FP32 path only (not on `FixedPatchStepper` or refined levels).
API, supported/rejected modes and limits: `docs/moving_bodies.md`; stage-1
evidence: `docs/validation/moving_bodies_stage1.md`.
## Not supported in this release
3D, dynamic/automatic AMR (tagging, time-varying hierarchies beyond `remap_finest`),
@@ -1,242 +0,0 @@
# Prescribed in-line oscillation: Dütsch Re 100 / KC 5 — PROTOCOL (review draft)
Production under test: `claude/moving-bodies-s3a` at `653fd997` (unchanged).
Primary source: Dütsch, Durst, Becker & Lienhart, J. Fluid Mech. 360, 249–271
(1998), doi:10.1017/S002211209800860X. Source facts below were verified from
the paper (Slack C0C78UFKGRM/1793335557.460509, TRON 1793356317–1793356724,
page numbers given). Everything marked ENGINEERING is our a-priori choice,
fixed before any benchmark result; it is not a paper uncertainty.
## 0. Source facts (with provenance)
- Motion (p.251): `x_c = -A sin(2 pi f t)`; paper phase phi = 0 is the mean
position moving left at `-U_max`. KC = 5 gives `A/D = 5/(2 pi) = .7957747`.
- Start (p.254): the computation starts a quarter cycle before phi = 0, at
`x = +A` with zero velocity (phi = -90°).
- Experiment (pp.252, 254–256): D = 10 mm, L = .65 m, tank 1.2 × .7 × .7 m,
rho = 998.2 kg/m³, mu = 1.00818 mPa·s, Re = 100, KC = 5; LDA with 1° phase
bins and 200 samples per node and degree; no quantified experimental error
recovered.
- Profiles (Fig. 8, p.260): LAB-FIXED stations x1 = -6, 0, 6, 12 mm, i.e.
x/D = -.6, 0, .6, 1.2, at phi = 180°, 210°, 330°; u1 and u2 versus x2.
- Original numerics (§2): cylinder-fixed accelerated frame (`x_i = x~_i +
x_i,s`, outer velocity `-u_c`, inertial source `-rho du_c/dt`), O-grid outer
diameter 120 D, illustrated 192 circumferential nodes, 720 steps/cycle; tank
influence neglected.
- Force fit (verified): force ON THE BODY per unit span
`F1 = -0.5 rho D c_d xdot|xdot| - (pi/4) rho D² c_i xddot` with `x = -A sin phi`;
normalized by `0.5 rho D U_max²`: `c_d cos phi |cos phi| - (pi² c_i / KC) sin phi`.
`c_i` is the ADDED-MASS coefficient; total inertia `c_m = c_i + 1` is a
different convention and is not used.
- Table 1 computed Morison coefficients (c_d, c_i) for 96 / 192 / 384 perimeter
nodes at dt/T = 1/720: (2.15, 1.42), (2.10, 1.45), (2.09, 1.45). These are
fitted computed coefficients, not a measured force and not an error bar. The
paper states the coarse direct force is closer to the finest direct force
than the Morison fit, but gives no waveform-error norm.
## 1. Kinematics, time levels and phase bookkeeping
- Our run is in the LAB frame: the circle moves, the fluid is initially at rest
(rho = 1, u = 0); no fictitious inertial source is added. Lab-fixed profile
stations are compared directly (no frame transform needed).
- Geometry reference: the circle's base centre is the INITIAL position, the
right turning point `x_mean + A`; the declared offset box is x in [-2A, 0],
y = 0. The body is never teleported: offset 0 at s = 0.
- Elapsed time s = n dt from the start. Analytic position relative to the mean
`x(s) = A cos(2 pi s / T)`, velocity `u(s) = -U_max sin(2 pi s / T)`; paper
phase `phi = (360 s / T - 90) mod 360`.
- Step n moves from s_n to s_{n+1}: target offset `x(s_{n+1}) - A`; wall
velocity = the single-step interval average `(x(s_{n+1}) - x(s_n)) / dt`
(analytic, supplied, not differenced from stored offsets). The per-step
force of `run(1)` / `read_force(normalize=True)` is attributed to that same
interval.
- Paper cycle k = 1, 2, ... spans `s in [T/4 + (k-1) T, T/4 + k T)`; the
initial quarter cycle (s < T/4) is cycle 0 and never scored. Every logged
sample carries (k, phi). Example: phi = 330° of cycle 1 is at s = 7T/6.
- T is chosen as a multiple of 360 native steps, so phi = 180°, 210°, 330° fall
exactly on step boundaries and 1° bins hold whole steps.
## 2. Resolution ladder (uniform grid, fixed Mach), ENGINEERING
| D (cells) | T (steps) | U_max = 5 D / T | nu_lat = U_max D / 100 | tau (3 nu + .5) |
|---|---|---|---|---|
| 20 | 2,520 | .039683 | .0079365 | .5238 |
| 40 | 5,040 | .039683 | .015873 | .5476 |
| 80 | 10,080 | .039683 | .031746 | .5952 |
- MRT collision. Mach fixed (Ma ≈ .0687); a separate Mach check at D = 40
with T = 10,080 (U_max halved, tau .5238) is labelled MACH and not part of the
ladder.
- Per-step displacement ≤ U_max ≈ .04 cells (bound .5).
## 3. Domain and boundaries (finite-domain reproduction), ENGINEERING
The paper's 120 D O-grid is not reproduced; our rectangular box is a
reproduction choice. The native dense channel (zero-velocity inlet,
pressure-NEQ outlet, bounce-back y walls) is a finite-domain approximation,
not infinite still fluid. The G4 x-periodic / y-slip override is a separately
labelled sensitivity family and never mixed into the primary ladder. The
runner owner confirms the zero-velocity inlet is supported as configured
before any run.
Order (closed):
1. Smoke + ledger at D = 40, native BC, 40 D × 40 D (finite box).
2. Domain sensitivity before any literature statement: same BC, D = 40,
L ∈ {20 D, 40 D, 60 D}; record the change in Fx waveform, c_d, c_i and the
scored profiles.
3. Optional labelled BC sensitivity: one x-periodic / y-slip case at D = 40,
40 D; reported as a delta against native only.
4. Only after step 2 passes: the D = 20 / 40 / 80 ladder on the chosen BC and
domain.
Domain criteria (a-priori, ENGINEERING; separate from the Table 1 bands): the
reference is 60 D at D = 40; 20 D and 40 D are compared with it on the common
window (same cycle indices) and the common valid point set:
- `RMS(Fx_L - Fx_60D) / F_ref ≤ .01` over the window (per-step waveforms);
- `|c_d,L - c_d,60D| ≤ .02` and `|c_i,L - c_i,60D| ≤ .02` (window fits);
- `max(|u_L - u_60D|, |v_L - v_60D|)` over common points `/ U_max ≤ .02`.
The chosen domain is the smallest of {20 D, 40 D} passing all three; if
neither passes, the domain verdict is FAIL and the ladder is not run.
- Memory/runtime: measured by a smoke run before each new size; measurements
inform scheduling only, never tolerances.
## 4. Observables (raw, per step, preserved)
- `obs` Fx, Fy (CME) and all `MovingTables.DIAG` columns per step: CME,
CME + Wen and CME + cover − uncover reported separately; crossings, eq_only,
no_donor (no_donor must stay 0).
- Velocity u1, u2 on lab-fixed lines x/D = -.6, 0, .6, 1.2 (relative to the
mean cylinder position) versus x2, at the scored phases. Lab frame
throughout; if any body-frame intermediate is used, position and velocity
are both transformed.
- Sampling cost: raw force and diagnostics counters are read every step
(small). Flags and velocity fields are read only at the steps inside the
three prescribed 1° phase bins (φ ∈ [180, 181), [210, 211), [330, 331),
T/360 steps each) of the cycles needed for settling and scoring, plus
sparse declared audits; never every step.
- Point set: fixed x2/D sample points per station, identical on every grid
and declared before running; per point the interpolation weights are
recorded; the scored set is the common subset valid on all compared grids
at that phase, with its coverage recorded; point sets never change silently.
- Interpolation: bilinear on cell centres using only cells that are fluid at
that step (flags read back via `get_flags()`); weights renormalized over the
fluid corners; a sample with no fluid corner, or inside the circle at that
step, is MISSING and logged, never set to zero. One-degree bins keep valid
fluid weights. The numerical average need not mimic the 200 LDA samples.
## 5. Periodic-regime gate (every case, before any statistic), ENGINEERING
Ledger rows, same schema for every case: dx, dt (in D and T units); U_max, nu,
Re, KC (lattice and nondimensional); T (native steps, nondimensional);
duration (native steps, s/T, paper cycles); discard; accepted window; cycle
ledger; verdict PASS or FAIL-CLOSED.
Scales: `F_ref = 0.5 rho U_max² D`, `U_ref = U_max`; never a near-zero mean
force as denominator.
- Settling metrics, cycle k−1 → k, phase-aligned by step within the cycle
(error budget: one fifth of the tightest comparison band of the same
observable, so residual drift cannot obscure a domain or resolution pass):
- waveform `RMS(dFx) / F_ref ≤ .002`;
- `|d mean|`, `|d RMS|`, `|d peak|` of Fx, each `/ F_ref ≤ .002`;
- scored profiles (fluid-only) `|du| / U_max`, `|dv| / U_max ≤ .004` at the
three phases × four stations;
- Morison `|dc_d| ≤ .004`, `|dc_i| ≤ .004`.
- Conservative comparison: every domain and cross-resolution criterion is
applied to `|difference| + drift_a + drift_b`, where drift is the largest
pair metric of that case inside the scored window.
- These constants (protocol.py SETTLE, DOMAIN, CROSS) are frozen before any
physical result; no post-result loosening.
- Rule: all metrics for N = 3 consecutive whole paper cycles → settled.
Cycle indexing (worked example, binding). Paper cycle k spans
`s/T in [0.25 + (k-1), 0.25 + k)`, i.e. φ0 → φ0; cycle 0 is the startup
quarter `s/T < 0.25`. Pair p_k compares cycle k−1 with cycle k.
- Discarded: cycles 0, 1, 2 (s/T < 2.25). Pairs are formed only between
cycles ≥ 3, so the first pair is p_4 (3 → 4).
- Settling proof for a case: three consecutive pairs all pass; K_case = the
first cycle AFTER the last of those pairs. Earliest possible: pairs 3→4,
4→5, 5→6 pass ⇒ K_case = 7.
- Common window: K = max over compared cases of K_case; every case scores the
same three complete cycles K, K+1, K+2 and must stay settled continuously:
every pair p_j for j = its own K_case .. K+2 must pass (including the wait
between its local settle and the common K), otherwise that case is
FAIL-CLOSED.
- Cap: cycle k ends at s/T = k + 0.25, so the last admissible scored cycle is
11 (ends 11.25 T) and K ≤ 9. Examples: K = 7 → cycles 7–9 (ends 9.25 T);
K = 9 → cycles 9–11 (ends 11.25 T); any K_case > 9 → FAIL-CLOSED.
- Run length: cases run sequentially; each runs to the end of cycle 11
(11.25 T: 28,350 / 56,700 / 113,400 steps for D = 20 / 40 / 80; the 12 T
cap is 30,240 / 60,480 / 120,960) and keeps its scalar and profile data, then
the common K is chosen. An unscorable partial cycle 12 is not run.
- Profiles: an empty common valid point set is FAIL-CLOSED; coverage, missing
points, bin time weights (equal per step) and the original fluid corner
weight sums are reported.
- The earlier G4 timing check (100 coarse vs 400 diffusive-fine steps) was a
matched short transient, not periodic evidence.
## 6. Metrics and per-observable criteria (ENGINEERING, not paper uncertainty)
Three criteria stay separate; the G4 same-grid 2% target is not reused.
- Morison fit: least squares of the normalized per-step force over the
accepted window against the two basis functions, each averaged over its
single step interval, fixed paper phase, no free phase shift; c_d and
added-mass c_i per force candidate.
- Cross-resolution: every scored observable's error against its reference must
decrease monotonically D20 → D40 → D80 (necessary, not sufficient).
- Against Table 1 (computed fit, not measured force): at D ≥ 40,
`|c_d - 2.09| ≤ .15` and `|c_i - 1.45| ≤ .15`, and monotone.
- Force waveform against its own Morison reconstruction: residual reported
only, no pass/fail (the paper reports fit error above its coarse numerical
error and gives no percentage).
- Fig. 8 LDA profiles: QUALITATIVE ONLY. The original figure could not be
accessed or rendered; no digitized ordinates and no measurement uncertainty
exist. After a digitization with figure number, tool and uncertainty note:
`RMS(|du|, |dv|) / U_max ≤ .15` at D ≥ 40 and monotone; LDA error stays
UNQUANTIFIED and is stated with every comparison.
- Fy sanity (not literature): `|mean Fy| / F_ref ≤ .05` in the accepted window.
- No force candidate is selected for an RHS by these results; each is
reported.
Superseded (earlier drafts): the velocity-jump start, guessed stations and
phases, "C_M" for c_i, and the uncertainty wording; cycles 4–6, the 30-cycle
cap and the earlier tolerance numbers.
## 6b. Amendment: duration-only diagnostic (declared before the run)
- Background: the D40 domain stage (20 D / 40 D / 60 D, 11.25 T each) failed
settling in every box (no window). That result stands.
- One declared diagnostic: D = 40, 60 D box, from rest, through cycle 31
(157,500 steps = 31.25 T). Physics, settling tolerances, bands and
production unchanged; three proof pairs plus a continuously settled
K..K+2 with K ≤ 29.
- Invocation: `run.py --D 40 --box 60 --cycles 31` then
`analyze.py --horizon 31`; the JSON records `horizon` and `horizon_mode`.
Without `--horizon` the analyzer is the original cap-11 scoring.
- Failure at 31.25 T: report and stop; no automatic extension, matrix, D80
or VIV. A pass shows only that this box settles with time; it is not a
domain or literature pass.
- The phase-locked high-frequency force component (residual of the mean
waveform after its Morison reconstruction, above 20/T) is reported per case
as unqualified; it needs separate qualification before any Morison or
literature statement.
## 6a. Driver unit tests (CPU, before any run)
- Phase/cycle arithmetic: s ↔ (k, φ), cycle boundaries, bin membership,
window/cap selection for K = 7, 8, 9, 10.
- Solid-aware interpolation: all-fluid, partial-solid (renormalized weights),
no-fluid (MISSING) and inside-circle cases.
- Interval-averaged Morison bases and the two-parameter fit on a synthetic
waveform with known c_d, c_i.
## 7. Order and scope
Protocol review → one-shot Dütsch driver (analytic `set_body` + `run(1)`,
cycle ledger, lab-fixed fluid-only station sampler, two-basis Morison fit; no
reusable runner until the first smoke shows shared helpers pay off; no
production change) → smoke (memory/runtime) → domain sensitivity →
ladder → physical-validation verdict → only then single-cylinder VIV. No AMR,
no pinball, no manuscript work.
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# Moving circles — stage-1 evidence (development level)
Owner criterion (Yanqi via TRON): prescribed motion and one free VIV case both
"reasonably close" to a predeclared reference = development-stage success.
This is practical closeness, not a formal validation claim. Every number
below is from Astra's receipts as posted in Slack C0C78UFKGRM thread
1793335557.460509; raw outputs stay on Horsea under `/tmp/celeris-results-*`
and the Mac evidence directory (not in git).
## Code
- Production: `src/` identical to `653fd997` (slices S1 `983020b6`,
S2a `b920a303`, S3a `653fd997`). CPU suites and GPU hold/crossing gates
passed on those slices (G0a/G0b population-bitwise; X1 crossing ledger).
- Research drivers: `research/duetsch_re100_kc5/` (`dd37883d`, capture
`a0aea3b9`) and `research/viv_re150/` (`fb507aa1`), run as committed.
## Prescribed in-line oscillation (Dütsch et al. 1998, Re 100, KC 5)
- Protocol: `docs/validation/duetsch_re100_kc5_protocol.md`.
- Frozen settling gate (.002 F_ref waveform): **FAILED** and kept on record:
D40 domain stage (20/40/60 D, 11.25 T) and the 60 D duration diagnostic
(31.25 T, 0/28 pairs; last waveform drift .00613 F_ref).
- Unscored late-cycle CME fits c_d ≈ 2.02–2.05, c_i ≈ 1.46–1.48 vs the
paper's computed (2.09, 1.45); fields clean and symmetric (owner view).
The owner accepts ~0.61 % cycle drift at D40 for this stage; the gate is
not re-scored.
- Fig. 8 LDA profiles: qualitative only (no digitized ordinates).
## Free transverse VIV (Kolahdouz §4.1.1 setup, Qin §4.5 target)
- Predeclaration: `docs/validation/viv_re150_predeclare.md` (agreed at
`1abfe954` under its former name `leontini_viv_predeclare.md`); run at `fb507aa1`, single case, D = 40, 75 D × 60 D.
- Result: status `scored`, 336,384 steps (t U/D = 336.4); A_max = .5464 D vs
.520 D (+5.1 %, inside the declared ±10 % band); mean half peak-to-peak
.5448 D; f/f_n = .955; block drifts .78/.29/.18 %, last-five spreads
.15/.11/.10 %; finite, no_donor = 0, no seed; 337.7 s, ~1.0 ms/step.
## Limitations (binding)
- One resolution (D40) per case; no grid or time convergence.
- Structural RHS = CME + Wen is a theory-motivated stage choice; CME-only
and node-impulse variants were not run as RHS; no force law is validated.
- Boundary mismatches: NEQ outlet with backflow clamp vs traction outlet;
finite box; the strict Dütsch settling failure is unexplained.
- No mass correction at curved walls; ~1 ms/step host-coupled overhead.
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# Single-cylinder free transverse VIV, Re 150 (Kolahdouz/Qin) — PREDECLARATION (agreed at 1abfe954)
(File renamed from `leontini_viv_predeclare.md`; the Leontini Re 200 case is only the queued second case below.)
Stage goal (Yanqi via TRON): prescribed Dütsch case + one VIV case both
"reasonably close" to a predeclared reference = development-stage success, then
cleanup. The frozen Dütsch settling failure (0/28 pairs at 31.25 T) stays on
record. Practical closeness is not a formal validation claim. Agreed by
Claude, Grok and Astra at 1abfe954; implemented in research/viv_re150/.
## Primary case (one case)
- Reference: Qin et al., arXiv:2003.12186, §4.5 (maximum amplitudes at
U_red = 3…8: .075, .551, .520, .459, .370, .084 D in the text, as quoted by
Grok/Astra) for the target; setup from Kolahdouz et al., arXiv:2003.12046,
§4.1.1 (read 2026-10-30 via ar5iv): U* sweep 3–8 with amplitudes only in
Fig. 3(b) (no text values), domain [−30, 45] D × [−30, 30] D with the
cylinder "initially at rest and centered at the origin", uniform inflow on
the left, zero normal traction and tangential velocity at the outlet, zero
normal velocity and tangential traction on y = ±30 D; no initial
perturbation and no total simulated time stated.
- Re = 150, U* = U/(f_n D) = 5, m/(rho D²) = 2 (m* = rho_s/rho_f = 8/pi),
zeta = 0, f_n = sqrt(K/M)/(2 pi) in vacuum. Transverse DOF only.
- Target: A_max = .520 D (peak amplitude, Qin §4.5). Multi-code reference
(Kolahdouz ILE-NS, Qin II-LBM). Reference uncertainty: not stated; the
spread between codes is not quantified here.
## Our reproduction (declared differences)
- D = 40, MRT, dense double buffer; U_lat = .04, nu = U D / 150 = .010667,
tau = .532.
- 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
declared cost cut with more blockage, not "the same case".
- Allowed y offset ±1.5 D; peak transverse speed ≈ .026 cells/step (bound .5).
## Structure, coupling and time levels
- M = 2 rho D² (lattice rho = 1), f_n = U/(5 D) = 2e-4 per step, K = M (2 pi f_n)²,
zeta = 0. Equation of motion uses the structural mass only.
- Per-step sequence (binding): known (y_n, v_n) and the last completed force
F_last → candidate (y_{n+1}, v_{n+1}) by the update below → `set_body` with
offset y_{n+1} and wall velocity (y_{n+1} − y_n)/dt with lattice dt = 1 (interval average; a
different quantity from the endpoint v_{n+1}) → `run(1)` → only on success:
commit y_n ← y_{n+1}, v_n ← v_{n+1}, F_last ← force read for that step (failure
semantics: see the window section). Whether the
measured force represents the interval's start, midpoint or end is not
asserted; the one-step lag is declared, not corrected.
- Initial state: fluid initialized by `Simulation.initialize()` to the uniform
inlet velocity U everywhere (the code's actual initial condition; the
source gives no fluid initial condition), body at rest at the declared
centre, y_0 = v_0 = 0, F_last = 0.
- Structural update over one step with constant force F = F_last (exact
harmonic solution, zeta = 0): y_e = F/K, w = 2 pi f_n,
y^{n+1} = y_e + (y^n − y_e) cos w + (v^n / w) sin w,
v^{n+1} = −(y^n − y_e) w sin w + v^n cos w.
- Primary RHS (single coupled run): CME + Wen (theory-motivated stage choice:
Galilean-invariant link correction; G4 could not separate it from CME).
Raw CME and the node terms are logged as diagnostics of that trajectory;
the node impulse is not added. A run with CME-only as RHS is a separate,
labelled sensitivity case, decided separately. Neither RHS is claimed proven.
## Window, failure semantics, acceptance (engineering, development stage)
Clocks: lattice dt = 1; T_n = 1/f_n = 5,000 steps. Response cycles are
counted from the measured signal; T_n is used only for the seed check.
- Start: body at rest at the declared centre (the only initial condition the
source states), y_0 = v_0 = 0, F_last = 0; fluid uniform at U (as
initialized by the code; our choice, not the source's).
- Seed (conditional, one time, declared): at step n_seed = 200,000
(t = 40 T_n), if max |y_t| over states t in [175,000, 200,000) is below
.01 D, then
in that step, after the check and before the candidate update, set
v_n += 2 pi f_n (.01 D) (F_last unchanged) and proceed normally; the
geometry moves continuously through the update. `seed_applied`, step and
size are logged; never repeated or changed.
- Cycle boundary (discrete, fixed threshold): step n closes a cycle iff
y[n−1] < 0 and y[n] ≥ 0 (upward crossing of the equilibrium y = 0);
y_0 = 0 is not a crossing; no boundary fewer than 2 samples after the
previous one.
- Per cycle: positive peak max(y), negative peak min(y), mean offset
(time-mean of y), amplitude a = (max − min)/2 (the only amplitude used for
settling).
- Eligibility: a completed cycle is counted (toward the settling proof and
the 150 budget) only if a ≥ .01 D; ineligible cycles are logged, never
counted, so near-zero motion cannot settle or pass.
- Seed reset: if the seed is applied, the incomplete cycle at n_seed is
discarded and the settling proof starts empty; the 150 budget and the
native cap keep running from t = 0.
- Windows: adjacent non-overlapping blocks of 10 counted cycles;
W_k = mean amplitude of block k (W_k ≥ .01 D by eligibility, so no zero
denominator).
- Block rule R(k), k ≥ 2: |W_k − W_{k−1}| / W_{k−1} ≤ .02 and, for the last 5
cycles of block k, max_i |a_i − ā_5| / ā_5 ≤ .01 with ā_5 their mean.
- Settled at the end of block k when R(k) holds. Scoring = the next two
blocks k+1, k+2 (20 counted cycles); both must satisfy R. If one fails,
that block becomes the new reference: the settling proof restarts from it
and continues within the caps (deterministic; no other retry). A pass
requires one complete stable 20-cycle scoring window before a cap; success
stops after its 20th cycle.
- Caps (both always armed; the first hit wins and is reported): 150 counted
response cycles including the 20 scoring cycles (so settling must complete
by counted cycle 130) → `timeout_response_cycles`; 1,000,000 native steps
(200 T_n) → `timeout_native_steps`.
- Durations reported: total steps, t U/D, counted and uncounted cycles,
measured T_resp (mean boundary interval); N_resp / f_n only as a labelled
secondary clock.
- Growth is not a failure: initial VIV growth is physical. Checked every
step (FAIL-CLOSED): non-finite y, v or force; |y| > 1.0 D (the tighter
gate; about twice the largest reference peak, .551 D) or the ±1.5 D offset
box reached; no_donor > 0; a failed upload/step/sync.
- On any failure the driver stops and reports; it never retries,
sub-iterates, retunes the RHS or parameters, or starts a second case.
Device-side failures (upload/step/sync, no_donor) mark the Simulation
failed through the existing lifecycle; input rejection by `set_body`
(offset box, speed, step bound) and timeouts end the driver run without
that mark.
- Target metric over the 20 scoring cycles: A_max/D = max over those cycles
of max(|positive peak|, |negative peak|) about y = 0 (Qin reports "maximum
amplitude"); also reported: mean amplitude, positive and negative peaks,
mean offset, f/f_n (no target).
- Acceptance: |A_max − .520 D| ≤ .052 D (±10 %), stated together with the
boundary mismatch and the absence of a quoted reference uncertainty. A pass
is "reasonably close" for the stage: not grid convergence, not force-RHS
validation, and it does not touch the Dütsch settling record.
- Driver reads force and the small diagnostics per step only; field reads
only at a few predeclared snapshots. No runtime claim: there is no measured
timing on this grid yet (the D40/60D receipt is a different, sampled case).
## Plumbing smoke (not the benchmark)
`run.py --smoke --D 20 --steps 32` runs exactly 32 steps of the same BC
package and coupling loop (no seed, settle or score; never scored);
status `smoke_ok` iff every step is finite, no_donor stays 0 and the body
stays inside its box. The physical case is only the default invocation
(`--D 40`, no `--smoke`).
## Queued, not in this stage
Leontini et al. JFS 22 (2006) Re = 200, m* = 10, zeta = 0.01, U* = 5.0 (needs
the owners' c_crit convention and a Fig. 1 digitization). D80, literature
claims, pinball, AMR, BC redesign, threshold changes.
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"""Ledger, settling, common window and Morison fits for Dütsch cases (numpy only).
python analyze.py CASE_DIR [CASE_DIR ...] # cases of one comparison
"""
from __future__ import annotations
import json
import math
import os
import sys
import numpy as np
import protocol as p
def load(path):
with open(os.path.join(path, "case.json")) as fh:
case = json.load(fh)
raw = np.load(os.path.join(path, "raw.npz"))
case.update(force=raw["force"], diag=raw["diag"], samples=raw["samples"], path=path)
return case
def cycle_slices(case):
"""{k: slice of step indices m whose interval [m, m+1] lies in paper cycle k}."""
T, q = case["T"], case["T"] // 4
return {k: slice(q + (k - 1) * T, q + k * T)
for k in range(1, case["cycles"] + 1) if q + k * T <= len(case["force"])}
def coarse_wave(case, k, r=1):
"""Normalized per-step Fx of cycle k, averaged over r native steps per sample."""
f = case["force"][cycle_slices(case)[k], 0] / case["F_ref"]
return f.reshape(-1, r).mean(axis=1)
def profiles(case, k):
"""{(phase, station, x2): (u, v)} of cycle k, time-averaged over the bin steps
(equal weights per step) from valid samples only."""
s = case["samples"]
acc = {}
for _, _, ph, xs, x2, u, v, _ in s[s[:, 1] == k]:
if not (math.isnan(u) or math.isnan(v)):
acc.setdefault((ph, xs, x2), []).append((u, v))
return {key: tuple(np.mean(vals, axis=0)) for key, vals in acc.items()}
def coverage(case, k):
s = case["samples"]
rows = s[s[:, 1] == k]
missing = int(np.isnan(rows[:, 5]).sum())
return dict(samples=len(rows), missing=missing, bin_steps=len(set(rows[:, 0])),
min_fluid_weight=float(np.nanmin(np.where(rows[:, 7] > 0, rows[:, 7], np.nan)))
if len(rows) else math.nan)
def common_points(dicts):
keys = set(dicts[0])
for d in dicts[1:]:
keys &= set(d)
return sorted(keys)
def candidates(case):
"""Per-step Fx of each reported force candidate (none is selected as an RHS)."""
d = case["diag"]
return {"cme": d[:, 0], "cme_wen": d[:, 0] + d[:, 2], "cme_node": d[:, 0] + d[:, 6] - d[:, 9]}
def cycle_morison(case, ks, fx=None):
T = case["T"]
fx = case["force"][:, 0] if fx is None else fx
idx = np.concatenate([np.arange(len(fx))[cycle_slices(case)[k]] for k in ks])
b = np.array([p.interval_bases(int(m), T) for m in idx])
return p.morison_fit(fx[idx] / case["F_ref"], b[:, 0], b[:, 1])
def pair_metrics(case, k):
a, b = coarse_wave(case, k - 1), coarse_wave(case, k)
pa, pb = profiles(case, k - 1), profiles(case, k)
common = common_points([pa, pb]) # empty set -> inf -> pair fails (FAIL-CLOSED)
prof = max((max(abs(pa[c][0] - pb[c][0]), abs(pa[c][1] - pb[c][1])) for c in common),
default=math.inf) / case["u_max"]
(cd0, ci0), (cd1, ci1) = cycle_morison(case, [k - 1]), cycle_morison(case, [k])
m = dict(wave=float(np.sqrt(np.mean((b - a) ** 2))),
scalar=float(max(abs(b.mean() - a.mean()), abs(np.sqrt(np.mean(b * b)) - np.sqrt(np.mean(a * a))),
abs(np.abs(b).max() - np.abs(a).max()))),
profile=float(prof), morison=float(max(abs(cd1 - cd0), abs(ci1 - ci0))),
profile_points=len(common))
m["pass"] = all(m[key] <= tol for key, tol in p.SETTLE.items())
return m
def hf_component(case, ks):
"""Unqualified phase-locked high-frequency force component (reported, not checked):
mean CME waveform over cycles ks minus its two-basis Morison reconstruction,
split at 20/T; cycle differencing does not remove it."""
T = case["T"]
if not ks:
return dict(label="unqualified phase-locked HF force component, not checked", cycles=[])
mean = np.mean([coarse_wave(case, k) for k in ks], axis=0)
c_d, c_i = cycle_morison(case, ks)
q = T // 4
b = np.array([p.interval_bases(q + m, T) for m in range(T)])
resid = mean - (c_d * b[:, 0] - (np.pi ** 2 * c_i / p.KC) * b[:, 1])
spec = np.fft.rfft(resid)
high = spec.copy()
high[:21] = 0.0
energy = one_sided_energy(spec, T)
return dict(label="unqualified phase-locked HF force component, not checked",
cycles=list(ks), hf_rms_over_F_ref=float(np.sqrt(np.mean(np.fft.irfft(high, T) ** 2))),
hf_energy_fraction=float(energy[21:].sum() / max(energy.sum(), 1e-300)),
top_harmonics=[int(j) for j in np.argsort(energy[21:])[::-1][:5] + 21])
def one_sided_energy(spec, n):
"""Parseval-consistent energy per rfft bin: interior bins count twice, DC and
(for even n) Nyquist once."""
w = np.full(len(spec), 2.0)
w[0] = 1.0
if n % 2 == 0:
w[-1] = 1.0
return w * np.abs(spec) ** 2
def ledger(case, horizon=p.LAST_SCORED):
ks = [k for k in sorted(cycle_slices(case)) if k <= horizon]
pairs = {k: pair_metrics(case, k) for k in ks if k - 1 > p.DISCARD}
return pairs, p.settled_start({k: v["pass"] for k, v in pairs.items()})
def main(argv):
"""argv: CASE_DIR ... [--reference CASE_DIR]; the reference defaults to the
largest D (resolution ladder); domain runs name the 60 D case explicitly."""
ref_path = None
if "--reference" in argv:
i = argv.index("--reference")
ref_path, argv = argv[i + 1], argv[:i] + argv[i + 2:]
horizon, explicit = p.LAST_SCORED, "--horizon" in argv # default: original scoring
if explicit:
i = argv.index("--horizon")
horizon, argv = int(argv[i + 1]), argv[:i] + argv[i + 2:]
paths = argv if ref_path is None or ref_path in argv else argv + [ref_path]
cases = [load(path) for path in paths]
for c in cases if explicit else (): # complete cycles 1..N; never pad or shift
if c["cycles"] < horizon or len(c["force"]) < round((0.25 + horizon) * c["T"]):
raise SystemExit(f"{c['path']}: run does not contain complete cycles 1..{horizon}")
ledgers = [ledger(c, horizon) for c in cases]
window = p.common_window([k for _, k in ledgers],
[{k: v["pass"] for k, v in pairs.items()} for pairs, _ in ledgers],
last_scored=horizon)
report = dict(window=window, horizon=horizon, cases=[],
horizon_mode="default-cap" if horizon == p.LAST_SCORED else
"extended duration diagnostic (declared amendment, D40/60D only)")
for case, (pairs, k_case) in zip(cases, ledgers):
limit = round((0.25 + horizon) * case["T"]) # events inside the horizon only
entry = {key: case[key] for key in ("path", "D", "T", "box", "n", "u_max", "nu", "tau", "A",
"steps", "cycles", "F_ref")}
entry.update(duration_T=case["steps"] / case["T"], K_case=k_case, pairs=pairs,
coverage={k: coverage(case, k) for k in sorted(cycle_slices(case))
if p.DISCARD < k <= horizon},
no_donor=float(case["diag"][:limit, 13].sum()),
eq_only=float(case["diag"][:limit, 12].sum()),
hf_component=hf_component(case, window or tuple(
[k for k in sorted(cycle_slices(case)) if p.DISCARD < k <= horizon][-3:])))
if window: # residual drift inside the scored window (pairs K..K+2)
entry["window_drift"] = {key: max(pairs[k][key] for k in window)
for key in ("wave", "profile", "morison")}
entry["morison_obs"] = cycle_morison(case, window)
entry["morison"] = {name: cycle_morison(case, window, fx)
for name, fx in candidates(case).items()}
entry["fy_mean"] = float(np.mean(np.concatenate(
[case["force"][cycle_slices(case)[k], 1] for k in window])) / case["F_ref"])
report["cases"].append(entry)
if window and len(cases) > 1: # cross-resolution waveform against the finest case
fine = (next(c for c in cases if c["path"] == ref_path) if ref_path
else max(cases, key=lambda c: c["D"]))
report["reference"] = fine["path"]
ref = np.concatenate([coarse_wave(fine, k) for k in window])
for case, entry in zip(cases, report["cases"]):
r = fine["T"] // case["T"] # 1 for equal-D domain runs
ref_c = ref.reshape(-1, r).mean(axis=1)
own = np.concatenate([coarse_wave(case, k) for k in window])
entry["wave_rms_vs_finest"] = float(np.sqrt(np.mean((own - ref_c) ** 2)))
for k in window: # profiles on the common valid point set of all compared cases
per_case = [profiles(c, k) for c in cases]
keys = common_points(per_case)
report.setdefault("common_profile_points", {})[k] = len(keys)
if not keys:
report["verdict"] = "FAIL-CLOSED: empty common profile set"
continue
fine_p = per_case[cases.index(fine)]
for case, entry, prof in zip(cases, report["cases"], per_case):
d = max(max(abs(prof[key][0] - fine_p[key][0]), abs(prof[key][1] - fine_p[key][1]))
for key in keys) / case["u_max"]
entry.setdefault("profile_max_vs_finest", {})[k] = float(d)
ref_entry = report["cases"][cases.index(fine)]
for entry in report["cases"]: # conservative: difference + both drifts
if entry is ref_entry:
continue
drift = {key: entry["window_drift"][key] + ref_entry["window_drift"][key]
for key in ("wave", "profile", "morison")}
dm = max(abs(entry["morison"]["cme"][0] - ref_entry["morison"]["cme"][0]),
abs(entry["morison"]["cme"][1] - ref_entry["morison"]["cme"][1]))
entry["conservative"] = dict(
wave=entry["wave_rms_vs_finest"] + drift["wave"],
profile=max(entry.get("profile_max_vs_finest", {}).values(), default=math.inf)
+ drift["profile"],
morison_cme=dm + drift["morison"])
bands = p.DOMAIN if ref_path else p.CROSS # domain runs name the 60 D reference
c = entry["conservative"]
entry["pass_scope"] = (
("wave+profile+morison_cme" if "morison" in bands else "wave+profile")
+ ": conservative (|diff| + both window drifts) on the obs/CME Fx waveform and "
"simulation-to-simulation profiles; CME+Wen and CME+node reported, not checked; "
"no Fig. 8 / literature verdict")
entry["pass"] = (c["wave"] <= bands["wave"] and c["profile"] <= bands["profile"]
and ("morison" not in bands or c["morison_cme"] <= bands["morison"]))
print(json.dumps(report, indent=1, default=float))
if __name__ == "__main__":
main(sys.argv[1:])
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"""Research-only field capture helpers for the Dütsch driver (numpy only).
Snapshots are taken at the first step of the scored phase bins in declared
cycles: a near-body crop at full resolution and a fluid-weighted block-mean
downsample of the whole domain; plus scalar trends at every bin read.
"""
from __future__ import annotations
import numpy as np
CROP_X, CROP_Y, DOWN = 8.0, 6.0, 8 # crop half-widths in D; downsample factor
STRIP = 2.0 # inlet/outlet strip width in D
def crop_box(xm, ym, D, n, body_extent):
"""Inclusive integer crop (x0, x1, y0, y1); fail closed if it leaves the domain
interior or does not contain the body's swept extent (x_lo, x_hi, y_lo, y_hi)."""
x0, x1 = int(round(xm - CROP_X * D)), int(round(xm + CROP_X * D))
y0, y1 = int(round(ym - CROP_Y * D)), int(round(ym + CROP_Y * D))
if x0 < 1 or y0 < 1 or x1 > n - 2 or y1 > n - 2:
raise ValueError("capture crop leaves the domain interior")
bx0, bx1, by0, by1 = body_extent
if not (x0 <= bx0 and bx1 <= x1 and y0 <= by0 and by1 <= y1):
raise ValueError("capture crop clips the body's swept extent")
return x0, x1, y0, y1
def downsample(field, fluid, f=DOWN):
"""Fluid-weighted f x f block means; NaN where a block has no fluid cell."""
ny, nx = field.shape
h, w = ny // f, nx // f
v = np.where(fluid, field, 0.0)[:h * f, :w * f].reshape(h, f, w, f).sum(axis=(1, 3))
c = fluid[:h * f, :w * f].reshape(h, f, w, f).sum(axis=(1, 3))
with np.errstate(invalid="ignore", divide="ignore"):
return np.where(c > 0, v / np.maximum(c, 1), np.nan).astype(np.float32)
def fluid_mean(field, fluid, xs=slice(None), ys=slice(None)):
m = fluid[ys, xs]
return float(field[ys, xs][m].mean()) if m.any() else float("nan")
def trend_row(s, k, ph, rho, ux, uy, fluid, D, n, crop):
"""(s, cycle, phase, <rho>, <ux>, <uy>, <rho>_crop, inlet <rho>, <ux>, outlet <rho>, <ux>)."""
w = max(1, int(round(STRIP * D)))
x0, x1, y0, y1 = crop
cx, cy = slice(x0, x1 + 1), slice(y0, y1 + 1)
inlet, outlet, inner = slice(1, 1 + w), slice(n - 1 - w, n - 1), slice(1, n - 1)
return (s, k, ph, fluid_mean(rho, fluid), fluid_mean(ux, fluid), fluid_mean(uy, fluid),
fluid_mean(rho, fluid, cx, cy),
fluid_mean(rho, fluid, inlet, inner), fluid_mean(ux, fluid, inlet, inner),
fluid_mean(rho, fluid, outlet, inner), fluid_mean(ux, fluid, outlet, inner))
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"""Pure arithmetic of the Dütsch Re 100 / KC 5 protocol (numpy only, no CUDA).
docs/validation/duetsch_re100_kc5_protocol.md is the contract: elapsed time s
in native steps from the right turning point, paper phase
phi = (360 s / T - 90) mod 360, paper cycle k >= 1 spans
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
KC, RE = 5.0, 100.0
STATIONS = (-0.6, 0.0, 0.6, 1.2) # lab-fixed x/D from the mean position
PHASES = (180.0, 210.0, 330.0) # degrees; bins [p, p + 1)
X2 = tuple(np.round(np.arange(-1.5, 1.5001, 0.05), 10)) # declared x2/D points
DISCARD, LAST_SCORED, N_PAIRS = 2, 11, 3 # cycles 0..2 discarded, cap 12 T
# A-priori bands. Settling is one fifth of the tightest comparison band of the
# same observable, and comparisons add both cases' residual window drift
# (conservative: |difference| + drift_a + drift_b <= band).
DOMAIN = dict(wave=.01, morison=.02, profile=.02) # vs the 60 D reference at D = 40
CROSS = dict(wave=.02, profile=.02) # D40 vs D80
SETTLE = dict(wave=.002, scalar=.002, profile=.004, morison=.004)
def amplitude(D):
return KC * D / (2.0 * math.pi)
def position(s, T, A):
"""Centre position relative to the mean: x = A cos(2 pi s / T), evaluated from the
native step modulo T so every cycle repeats the same geometry bit for bit."""
return A * math.cos(2.0 * math.pi * (int(s) % T) / T)
def phase(s, T):
"""Paper phase in degrees from the native step modulo T (the unwrapped cycle
index is kept separately by ``cycle``)."""
return (360.0 * (int(s) % T) / T - 90.0) % 360.0
def cycle(s, T):
return 0 if s < 0.25 * T else int(math.floor(s / T - 0.25)) + 1
def bin_phase(s, T):
"""Scored phase whose 1-degree bin [p, p + 1) contains time s, else None."""
phi = phase(s, T)
for p in PHASES:
if p <= phi < p + 1.0:
return p
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 = _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)
return 0.5 * float(np.sum(w * c * np.abs(c))), 0.5 * float(np.sum(w * np.sin(phi)))
def morison_fit(f_norm, b1, b2):
"""Least squares of f_norm = c_d b1 - (pi^2 c_i / KC) b2 (paper phase, no shift)."""
a = np.column_stack([b1, -(math.pi ** 2 / KC) * np.asarray(b2)])
(c_d, c_i), *_ = np.linalg.lstsq(a, np.asarray(f_norm), rcond=None)
return float(c_d), float(c_i)
def inside_circle(x, y, centre, radius):
return (x - centre[0]) ** 2 + (y - centre[1]) ** 2 < radius * radius
def sample(field, fluid, x, y, centre, radius):
"""Profile sample: MISSING if the exact point is inside the body (checked before
any corner interpolation), else ``bilinear_fluid``."""
if inside_circle(x, y, centre, radius):
return None, (), 0.0
return bilinear_fluid(field, fluid, x, y)
def bilinear_fluid(field, fluid, x, y):
"""Bilinear value at (x, y) in cell coordinates from fluid cells only.
Returns (value, ((ix, iy, weight), ...), fluid_weight_sum) with weights
renormalized over the fluid corners and the original sum of their bilinear
weights, or (None, (), 0.0) when no corner is fluid (MISSING, never zero).
"""
x0, y0 = int(math.floor(x)), int(math.floor(y))
fx, fy = x - x0, y - y0
corners = ((x0, y0, (1 - fx) * (1 - fy)), (x0 + 1, y0, fx * (1 - fy)),
(x0, y0 + 1, (1 - fx) * fy), (x0 + 1, y0 + 1, fx * fy))
used = [(i, j, w) for i, j, w in corners if w > 0.0 and fluid[j, i]]
total = sum(w for _, _, w in used)
if total == 0.0:
return None, (), 0.0
used = tuple((i, j, w / total) for i, j, w in used)
return float(sum(w * field[j, i] for i, j, w in used)), used, float(total)
def settled_start(pairs_pass):
"""K_case from {k: pass of pair (k-1 -> k)}: first cycle after three consecutive
passing pairs among cycles > DISCARD, or None."""
run = 0
for k in sorted(pairs_pass):
if k - 1 <= DISCARD:
continue
run = run + 1 if pairs_pass[k] else 0
if run == N_PAIRS:
return k + 1
return None
def common_window(k_cases, pairs_pass_by_case, last_scored=LAST_SCORED):
"""Common scored cycles K..K+2 with K = max K_case, or None (FAIL-CLOSED) when a
case never settled, K + 2 exceeds the cap, or a case fails any pair p_j for
j = its own K_case .. K + 2 (continuous settling, including the wait for K)."""
if any(k is None for k in k_cases):
return None
K = max(k_cases)
if K + 2 > last_scored:
return None
for k_case, pairs in zip(k_cases, pairs_pass_by_case):
if not all(pairs.get(j, False) for j in range(k_case, K + 3)):
return None
return K, K + 1, K + 2
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"""One-shot Dütsch Re 100 / KC 5 prescribed in-line oscillation driver.
Protocol: docs/validation/duetsch_re100_kc5_protocol.md. Native dense channel
(zero-velocity inlet, pressure-NEQ outlet, bounce-back y walls), MRT, lab frame.
Writes raw per-step force/diagnostics and phase-bin profile samples to --out
(outside the checkout); analysis is in analyze.py. No production change.
python run.py --D 40 --box 40 --cycles 11 --out /path/outside/checkout
"""
from __future__ import annotations
import argparse
import json
import math
import os
import tempfile
import numpy as np
import protocol as p
TEMPLATE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "..", "src",
"CelerisLab", "configs", "config_lbm.json")
def config(D, box, T):
"""Shipped config_lbm.json (full parser schema) with only the case fields
overridden: grid, still fluid (velocity 0), nu from Re, MRT, uniform inlet
profile, bounce-back y walls. Inlet scheme and outlet mode stay the
template's (zou_he_local, neq_extrap) and are recorded in case.json."""
u = p.KC * D / T
n = int(round(box * D))
with open(TEMPLATE) as fh:
cfg = json.load(fh)
cfg["grid"].update(lattice_model="D2Q9", nx=n, ny=n, nz=1)
cfg["physics"].update(data_type="FP32", viscosity=u * D / p.RE, velocity=0.0, rho=1.0)
cfg["method"].update(collision="MRT", streaming="double_buffer", store_precision="FP32",
ddf_shifting=False, y_wall_bc="bounce_back")
cfg["method"]["les"]["enabled"] = False
cfg["method"]["inlet"]["profile"] = "uniform"
return cfg, u, n
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--D", type=int, required=True)
ap.add_argument("--box", type=float, default=40.0, help="box side in D")
ap.add_argument("--T", type=int, default=None, help="period in steps (multiple of 360)")
ap.add_argument("--cycles", type=int, default=p.LAST_SCORED, help="run to the end of this cycle")
ap.add_argument("--out", required=True)
ap.add_argument("--dump-fields", default="",
help="research capture: comma-separated paper cycles, e.g. 11,21,30,31")
args = ap.parse_args()
D, T = args.D, args.T or 126 * args.D
if T % 360:
raise SystemExit("T must be a multiple of 360 steps")
if os.path.realpath(args.out).startswith(os.path.realpath(os.path.join(os.path.dirname(__file__), "..", ".."))):
raise SystemExit("--out must be outside the checkout")
cfg, u_max, n = config(D, args.box, T)
A, R = p.amplitude(D), 0.5 * D
xm = ym = 0.5 * (n - 1)
os.makedirs(args.out, exist_ok=True)
from CelerisLab.body.motion import Translation
from CelerisLab.simulation import Simulation
with tempfile.NamedTemporaryFile("w", suffix=".json", delete=False) as fh:
json.dump(cfg, fh)
sim = Simulation(fh.name)
try:
body = sim.add_body("circle", (xm + A, ym), R,
translation=Translation((-2.0 * A, 0.0, 0.0, 0.0), 1.01 * u_max))
sim.initialize()
dump = {int(c) for c in args.dump_fields.split(",") if c}
if dump:
import capture
if max(dump) > args.cycles or min(dump) <= p.DISCARD:
raise SystemExit("--dump-fields cycles must lie in the scored range of this run")
crop = capture.crop_box(xm, ym, D, n, (xm - A - R, xm + A + R, ym - R, ym + R))
trend = []
steps = int(round((0.25 + args.cycles) * T))
force = np.zeros((steps, 2)); diag = []; samples = []
for m in range(steps):
x0, x1 = p.position(m, T, A), p.position(m + 1, T, A)
sim.set_body(body, offset=(max(x1 - A, -2.0 * A), 0.0), vx=x1 - x0)
sim.run(1)
force[m] = sim.read_force(body)[:2]
diag.append(sim.moving_diagnostics()[0])
s = m + 1 # state after the step
ph = p.bin_phase(s, T)
if ph is not None and p.cycle(s, T) > p.DISCARD:
fields = sim.get_macroscopic()
fluid = (sim.get_flags().reshape(n, n) & 1) != 0
ux, uy = (np.asarray(fields[k]).reshape(n, n) for k in ("ux", "uy"))
if dump: # research capture only; the default path is unchanged
rho = np.asarray(fields["rho"]).reshape(n, n)
trend.append(capture.trend_row(s, p.cycle(s, T), ph, rho, ux, uy, fluid, D, n, crop))
if p.cycle(s, T) in dump and p.phase(s, T) == ph: # first step of the bin
x0c, x1c, y0c, y1c = crop
cy_, cx_ = slice(y0c, y1c + 1), slice(x0c, x1c + 1)
np.savez_compressed(
os.path.join(args.out, f"fields_c{p.cycle(s, T)}_p{int(ph)}.npz"),
s=s, cycle=p.cycle(s, T), phase=ph, crop=np.asarray(crop),
force=force[m], centre=np.asarray((xm + p.position(s, T, A), ym)),
ux=ux[cy_, cx_].astype(np.float32), uy=uy[cy_, cx_].astype(np.float32),
rho=rho[cy_, cx_].astype(np.float32), fluid=fluid[cy_, cx_].astype(np.uint8),
down_ux=capture.downsample(ux, fluid), down_uy=capture.downsample(uy, fluid),
down_rho=capture.downsample(rho, fluid))
centre = (xm + p.position(s, T, A), ym) # analytic centre after the step
for xs in p.STATIONS:
for x2 in p.X2:
x, y = xm + xs * D, ym + x2 * D
u, wu, wsum = p.sample(ux, fluid, x, y, centre, R)
v, _, _ = p.sample(uy, fluid, x, y, centre, R)
samples.append((s, p.cycle(s, T), ph, xs, x2,
math.nan if u is None else u, math.nan if v is None else v,
wsum, json.dumps(wu)))
if dump:
np.save(os.path.join(args.out, "trend.npy"), np.asarray(trend, float))
np.savez(os.path.join(args.out, "raw.npz"), force=force, diag=np.asarray(diag),
samples=np.asarray([r[:8] for r in samples], float))
with open(os.path.join(args.out, "case.json"), "w") as fh:
json.dump(dict(D=D, T=T, box=args.box, n=n, u_max=u_max, nu=cfg["physics"]["viscosity"],
tau=3 * cfg["physics"]["viscosity"] + 0.5, A=A, steps=steps,
cycles=args.cycles, F_ref=0.5 * u_max ** 2 * D,
inlet=cfg["method"]["inlet"], outlet=cfg["method"]["outlet"],
weights=[r[8] for r in samples]), fh)
finally:
sim.close()
if __name__ == "__main__":
main()
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# Research VIV driver — coupling contract (not production)
`run.py` couples a 1-DOF undamped spring–mass (`viv.py`) to the production
moving-circle API. Everything specific to fluid–structure coupling lives here,
not in `src/`.
- Per step: known (y_n, v_n) and the last completed force F_last → exact
harmonic candidate (y_{n+1}, v_{n+1}) → `set_body(offset=(0, y_{n+1}),
vy=y_{n+1} − y_n)` (interval wall velocity, lattice dt = 1) → `run(1)` →
commit y, v and F_last only after the step succeeded. One step of explicit
force lag (weak coupling); no sub-iteration.
- Structural RHS = CME + Wen (y), read from `moving_diagnostics()` by the
names in `MovingTables.DIAG`; raw CME, the `obs` force and node terms are
logged as diagnostics. This is a stage choice, not a validated force law.
- Production guarantees used: fail-closed target commit (synchronized step,
`no_donor == 0`), input rejection before mutation, a failed device step
marks the Simulation failed.
- Not provided, by design: device-resident structure state or batched
(multi-step) coupling, strong/sub-iterated coupling (would need state
rollback), more than one DOF. These are future work and would be a separate
execution path, not an abstraction over this driver.
- Recorded result and limits: `docs/validation/moving_bodies_stage1.md`;
predeclaration: `docs/validation/viv_re150_predeclare.md`.
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"""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 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
"""
from __future__ import annotations
import argparse
import json
import math
import os
import tempfile
import numpy as np
import viv
D, U = 40, 0.04
TEMPLATE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "..", "src",
"CelerisLab", "configs", "config_lbm.json")
def config(D=D, U=U):
nx, ny = 75 * D, 60 * D
with open(TEMPLATE) as fh:
cfg = json.load(fh)
cfg["grid"].update(lattice_model="D2Q9", nx=nx, ny=ny, nz=1)
cfg["physics"].update(data_type="FP32", viscosity=U * D / viv.RE, velocity=U, rho=1.0)
cfg["method"].update(collision="MRT", streaming="double_buffer", store_precision="FP32",
ddf_shifting=False, y_wall_bc="free_slip")
cfg["method"]["les"]["enabled"] = False
cfg["method"]["inlet"]["profile"] = "uniform"
return cfg, nx, ny
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--out", required=True)
ap.add_argument("--D", type=int, default=D)
ap.add_argument("--smoke", action="store_true",
help="plumbing smoke only: exactly --steps steps (<= 64), never scored")
ap.add_argument("--steps", type=int, default=0)
args = ap.parse_args()
if args.smoke != bool(args.steps) or args.steps > 64 or args.steps < 0:
raise SystemExit("--smoke requires --steps N with 1 <= N <= 64 (and only with --smoke)")
if args.D != D and not args.smoke:
raise SystemExit("the physical case is predeclared at D = 40")
if os.path.realpath(args.out).startswith(os.path.realpath(os.path.join(os.path.dirname(__file__), "..", ".."))):
raise SystemExit("--out must be outside the checkout")
os.makedirs(args.out, exist_ok=True)
for name in ("report.json", "steps.npy"): # never overwrite earlier evidence
if os.path.exists(os.path.join(args.out, name)):
raise SystemExit(f"{args.out} already holds {name}; use a fresh output directory")
Dn = args.D
cfg, nx, ny = config(Dn)
s, cyc = viv.Structure(Dn, U), viv.Cycles(Dn)
T_n = 1.0 / s.f_n
step_cap, n_seed = int(round(viv.STEP_CAP_TN * T_n)), int(round(viv.SEED_TN * T_n))
quiet = int(round(5 * T_n))
if args.smoke:
step_cap = args.steps
centre = (30.0 * Dn, 0.5 * (ny - 1))
from CelerisLab.body.motion import MovingTables, Translation
col = {k: MovingTables.DIAG.index(k) for k in ("cme_y", "wen_y", "cover_jy", "uncover_jy", "no_donor")}
from CelerisLab.simulation import Simulation
with tempfile.NamedTemporaryFile("w", suffix=".json", delete=False) as fh:
json.dump(cfg, fh)
sim = Simulation(fh.name)
rows, status, seed_step, f_last = [], "running", None, 0.0
try:
body = sim.add_body("circle", centre, 0.5 * Dn,
translation=Translation((0.0, 0.0, -1.5 * Dn, 1.5 * Dn), 0.5))
sim.initialize()
for n in range(step_cap):
# rows[k] holds the state y_{k+1}; the declared window is y_t, t in [n_seed - 5 T_n, n_seed)
if not args.smoke and n == n_seed and \
max(abs(r[1]) for r in rows[n_seed - quiet - 1:n_seed - 1]) < viv.ELIGIBLE * Dn:
s.v += s.seed_velocity(Dn) # after the quiet check, before the update
seed_step = n
cyc.discard_current()
cyc.reset_proof()
y1, v1 = s.candidate(f_last)
if not (math.isfinite(y1) and math.isfinite(v1)) or abs(y1) > viv.Y_LIMIT * Dn:
status = "fail_bound_or_nonfinite"
break
try:
sim.set_body(body, offset=(0.0, y1), vy=y1 - s.y)
except ValueError as exc: # input rejection: stop, no retry
status = f"rejected: {exc}"
break
sim.run(1) # device failures raise and mark the Simulation failed
d = sim.moving_diagnostics()[0]
f_obs = sim.read_force(body)[1]
f_rhs = float(d[col["cme_y"]] + d[col["wen_y"]]) # CME + Wen (y)
row = (n, y1, v1, f_rhs, float(d[col["cme_y"]]), float(d[col["wen_y"]]), float(f_obs),
float(d[col["cover_jy"]] - d[col["uncover_jy"]]), float(d[col["no_donor"]]))
if not viv.finite(row): # every recorded output, not only the RHS
status = "fail_nonfinite_output"
break
s.y, s.v, f_last = y1, v1, f_rhs # commit only after a successful step
rows.append(row)
if args.smoke:
continue # no settle / score in the plumbing smoke
if cyc.update(s.y) == "scored":
status = "scored"
break
if cyc.counted >= viv.CYCLE_CAP:
status = "timeout_response_cycles"
break
else:
status = ("smoke_ok" if all(r[8] == 0.0 for r in rows) else "smoke_no_donor") \
if args.smoke else "timeout_native_steps"
except BaseException as exc:
status = f"error: {exc!r}"
raise
finally:
np.save(os.path.join(args.out, "steps.npy"), np.asarray(rows, float))
report = dict(status=status, smoke=args.smoke, D=Dn, steps=len(rows), t_U_over_D=len(rows) * U / Dn, T_n=T_n,
seed_step=seed_step, counted_cycles=cyc.counted, cycles=cyc.log,
columns=["n", "y", "v", "F_rhs_cme_wen", "F_cme", "F_wen", "F_obs",
"node_cover_minus_uncover_y", "no_donor"])
if status == "scored" and not args.smoke:
report["score"] = viv.score(cyc.window)
with open(os.path.join(args.out, "report.json"), "w") as fh:
json.dump(report, fh, indent=1)
sim.close()
if __name__ == "__main__":
main()
-126
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@@ -1,126 +0,0 @@
"""Pure logic of the predeclared Re 150 free transverse VIV case (stdlib only).
Contract: docs/validation/viv_re150_predeclare.md. Oscillator update with a
constant force over one lattice step, response-cycle tracking with fixed y = 0
crossings, eligibility, 10-cycle blocks, settling/scoring with deterministic
restart, and the conditional seed.
"""
from __future__ import annotations
import math
RE, U_STAR, MASS_NUMBER = 150.0, 5.0, 2.0 # m/(rho D^2) = 2 -> m* = 8/pi
TARGET_A, BAND = 0.520, 0.10 # Qin §4.5 maximum amplitude, ±10 %
ELIGIBLE, BLOCK, LAST5 = 0.01, 10, 5 # in D; cycles; cycles
WINDOW_TOL, LAST5_TOL = 0.02, 0.01
CYCLE_CAP, STEP_CAP_TN, SEED_TN, Y_LIMIT = 150, 200, 40, 1.0
def finite(values):
"""True iff every recorded value is finite (fail-closed output check)."""
return all(math.isfinite(float(v)) for v in values)
class Structure:
"""Undamped spring-mass, exact harmonic update over dt = 1 with constant force."""
def __init__(self, D, u):
self.m = MASS_NUMBER * D * D # lattice rho = 1
self.f_n = u / (U_STAR * D)
self.w = 2.0 * math.pi * self.f_n
self.k = self.m * self.w * self.w
self.y = self.v = 0.0
def candidate(self, force):
ye = force / self.k
c, s = math.cos(self.w), math.sin(self.w)
return (ye + (self.y - ye) * c + self.v / self.w * s,
-(self.y - ye) * self.w * s + self.v * c)
def seed_velocity(self, D):
return self.w * ELIGIBLE * D # amplitude ~ .01 D
class Cycles:
"""Upward y = 0 crossings, eligibility, blocks, settle/score with restart."""
def __init__(self, D):
self.D = D
self.reset_proof()
self.counted = 0
self.log = [] # one dict per completed cycle
self._cur = None
self._prev = 0.0
self._since = 0
def reset_proof(self):
self.amps = [] # eligible amplitudes since proof start
self.blocks = [] # block means
self.settled_at = None # block index where R held
self.window = None # completed scoring cycles (list of dicts)
def discard_current(self):
self._cur, self._since = None, 0
def rule(self, k):
"""R(k): block-mean change ≤ 2 % and last-five spread ≤ 1 %."""
if k < 1:
return False
w0, w1 = self.blocks[k - 1], self.blocks[k]
last = self.amps[(k + 1) * BLOCK - LAST5:(k + 1) * BLOCK]
a5 = sum(last) / LAST5
return abs(w1 - w0) / w0 <= WINDOW_TOL and max(abs(a - a5) for a in last) / a5 <= LAST5_TOL
def update(self, y):
"""Feed y after a committed step; returns 'scored' when a stable window completes."""
out = None
crossing = self._prev < 0.0 <= y and self._since >= 2
if crossing:
if self._cur is not None:
out = self._close()
self._cur, self._since = dict(ymax=y, ymin=y, ysum=0.0, n=0), 0
if self._cur is not None:
c = self._cur
c["ymax"], c["ymin"] = max(c["ymax"], y), min(c["ymin"], y)
c["ysum"] += y
c["n"] += 1
self._since += 1
self._prev = y
return out
def _close(self):
c = self._cur
a = 0.5 * (c["ymax"] - c["ymin"]) / self.D
cyc = dict(ymax=c["ymax"] / self.D, ymin=c["ymin"] / self.D,
offset=c["ysum"] / c["n"] / self.D, amp=a, steps=c["n"], eligible=a >= ELIGIBLE)
self.log.append(cyc)
if not cyc["eligible"]:
return None
self.counted += 1
self.amps.append(a)
if self.settled_at is not None:
self.window.append(cyc)
if len(self.amps) % BLOCK:
return None
self.blocks.append(sum(self.amps[-BLOCK:]) / BLOCK)
k = len(self.blocks) - 1
if self.settled_at is None:
if self.rule(k):
self.settled_at, self.window = k, []
return None
if not self.rule(k): # scoring block failed: restart from it
amps, blocks = self.amps[-BLOCK:], self.blocks[-1:]
self.reset_proof()
self.amps, self.blocks = amps, blocks
return None
return "scored" if k == self.settled_at + 2 else None
def score(window):
"""Target metric and reported quantities over the 20 scoring cycles."""
a_max = max(max(abs(c["ymax"]), abs(c["ymin"])) for c in window)
return dict(A_max=a_max, mean_amp=sum(c["amp"] for c in window) / len(window),
ymax=max(c["ymax"] for c in window), ymin=min(c["ymin"] for c in window),
offset=sum(c["offset"] for c in window) / len(window),
T_resp=sum(c["steps"] for c in window) / len(window),
within_band=abs(a_max - TARGET_A) <= BAND * TARGET_A)
+1 -3
View File
@@ -405,9 +405,7 @@ class ObjectManager:
for obj in objects:
obj.validate_surface_actuation(self.cfg)
# Moving circles never enter the packed static links (docs/moving_bodies.md, section 3).
if (not obj.is_sensor) and (not obj.is_force_region) and obj.motion is None \
and hasattr(obj, 'get_curved_list'):
if (not obj.is_sensor) and (not obj.is_force_region) and hasattr(obj, 'get_curved_list'):
(
fluid_idx, dirs, q_vals, body_ids,
rx_vals, ry_vals, rz_vals, fallback_vals
-201
View File
@@ -1,201 +0,0 @@
# CelerisLab/body/motion.py
"""Translation targets and device tables (dense double buffer, D2Q9 only).
Contract: docs/moving_bodies.md, sections 4a, 5 and 7. The applied geometry
(last successfully committed offset) and an optional pending target are two
separate facts; centres are always ``base + offset``. MovingCircle owns host
targets, MovingTables owns device records, and Simulation commits completed steps.
"""
from __future__ import annotations
import math
from dataclasses import dataclass
from typing import Callable, Optional, Tuple
MAX_STEP = 0.5 # Euclidean centre displacement per step (lattice cells)
BAND_MARGIN = 2 # cells added around the swept circle AABB
R_MIN = 4.0 # smallest radius covered by the donor enumeration
Vec = Tuple[float, float]
def _vec(value, name: str) -> Vec:
x, y = (float(v) for v in value)
if not (math.isfinite(x) and math.isfinite(y)):
raise ValueError(f"{name} must be finite, got {value!r}")
return x, y
@dataclass(frozen=True)
class Translation:
"""Declared motion envelope: offset box (x_min, x_max, y_min, y_max) and speed bound."""
offset_box: Tuple[float, float, float, float]
max_speed: float
def __post_init__(self):
box = tuple(float(v) for v in self.offset_box)
speed = float(self.max_speed)
if len(box) != 4 or not all(math.isfinite(v) for v in box + (speed,)):
raise ValueError("offset_box needs 4 finite values and max_speed must be finite")
if not (box[0] <= 0.0 <= box[1] and box[2] <= 0.0 <= box[3]):
raise ValueError("offset_box must contain the zero offset")
if not 0.0 < speed <= MAX_STEP:
raise ValueError(f"max_speed must satisfy 0 < max_speed <= {MAX_STEP}")
object.__setattr__(self, "offset_box", box)
object.__setattr__(self, "max_speed", speed)
class MovingCircle:
"""Applied offset, pending target and the fail-closed commit of one circle."""
def __init__(self, base, radius: float, translation: Translation,
on_failure: Optional[Callable[[BaseException], None]] = None):
self.base = _vec(base, "base")
self.radius = float(radius)
if not (math.isfinite(self.radius) and self.radius >= R_MIN):
raise ValueError(f"moving circle radius must be >= {R_MIN}")
if not isinstance(translation, Translation):
raise TypeError("translation must be a Translation")
self.translation = translation
self.applied: Vec = (0.0, 0.0)
self.pending: Optional[Tuple[Vec, Vec]] = None
self.failed = False
self._on_failure = on_failure # owner lifecycle hook (Simulation marks itself failed)
def centre(self, offset: Vec) -> Vec:
return self.base[0] + offset[0], self.base[1] + offset[1]
def check_target(self, offset, velocity) -> Tuple[Vec, Vec]:
"""Validate a target against ``applied``; returns it, mutates nothing."""
self._require_usable()
offset, velocity = _vec(offset, "offset"), _vec(velocity, "velocity")
x0, x1, y0, y1 = self.translation.offset_box
if not (x0 <= offset[0] <= x1 and y0 <= offset[1] <= y1):
raise ValueError(f"offset {offset} outside declared box {self.translation.offset_box}")
step = math.hypot(offset[0] - self.applied[0], offset[1] - self.applied[1])
if step > MAX_STEP:
raise ValueError(f"per-step displacement {step} exceeds {MAX_STEP}")
if math.hypot(*velocity) > self.translation.max_speed:
raise ValueError(f"velocity {velocity} exceeds max_speed {self.translation.max_speed}")
if offset == self.applied and velocity != (0.0, 0.0):
raise ValueError("a hold target (offset == applied) needs zero translational velocity")
return offset, velocity
def set_target(self, offset, velocity) -> None:
"""Replace the pending target (last wins); invalid input keeps the old one."""
self.pending = self.check_target(offset, velocity)
def record(self) -> Tuple[Vec, Vec, Vec]:
"""Motion record (c_old, c_new, u) for the next single moving step."""
self._require_usable()
if self.pending is not None:
offset, velocity = self.pending
else:
offset, velocity = self.applied, (0.0, 0.0)
return self.centre(self.applied), self.centre(offset), velocity
def commit(self) -> None:
"""Applied := pending offset (caller has synchronized a successful step)."""
if self.pending is not None:
self.applied = self.pending[0]
self.pending = None
def fail(self, exc: BaseException) -> None:
self.failed = True
if self._on_failure is not None:
self._on_failure(exc)
def band(self) -> Tuple[int, int, int, int]:
"""Inclusive cell AABB (x0, x1, y0, y1) swept over the whole offset box."""
x0, x1, y0, y1 = self.translation.offset_box
r, m = self.radius, BAND_MARGIN
return (math.floor(self.base[0] + x0 - r) - m, math.ceil(self.base[0] + x1 + r) + m,
math.floor(self.base[1] + y0 - r) - m, math.ceil(self.base[1] + y1 + r) + m)
def _require_usable(self) -> None:
if self.failed:
raise RuntimeError("moving circle state is unknown after a failed step")
class MovingTables:
"""Device tables of the translating circles for ``MovingCircleCells``/``Links``.
Band table (x0, y0, width, height, first_slot, body_id), immutable per run;
FP64 motion records (cx_old, cy_old, cx_new, cy_new, r, ux, uy), immutable
during a step; separate per-body diagnostics (see DIAG), never part of obs.
"""
BAND_INTS, GEOM_DOUBLES = 6, 7
DIAG = ("cme_x", "cme_y", "wen_x", "wen_y", "link_dm", "n_links",
"cover_jx", "cover_jy", "cover_mass", "uncover_jx", "uncover_jy", "uncover_mass",
"eq_only", "no_donor", "crossings")
DIAG_FLOATS = len(DIAG)
def __init__(self, band, geom):
import numpy as np
import pycuda.driver as cuda
self.n_bodies = len(geom) // self.GEOM_DOUBLES
self.n_slots = int(band[-2] + band[-4] * band[-3] * 8)
self.n_cells = self.n_slots // 8
self.geom = list(geom) # host copy of the uploaded records
self.band_gpu = cuda.to_device(np.asarray(band, np.int32))
self.geom_gpu = cuda.to_device(np.asarray(geom, np.float64))
# Owned page-locked staging for async record uploads (allocated once).
self._geom_pinned = cuda.pagelocked_empty(len(geom), np.float64)
self.diag_gpu = cuda.to_device(np.zeros(self.n_bodies * self.DIAG_FLOATS, np.float32))
self.slot_debug_gpu = None # optional (q, fallback, rx, ry) per slot for parity tests
@classmethod
def upload(cls, circles):
"""``circles``: [(MovingCircle, body_id)] in body order."""
return cls(*cls.layout(circles))
@staticmethod
def layout(circles):
"""Host band and geometry tables (no device work)."""
band, geom, first = [], [], 0
for motion, body_id in circles:
x0, x1, y0, y1 = motion.band()
width, height = x1 - x0 + 1, y1 - y0 + 1
band += [x0, y0, width, height, first, int(body_id)]
first += width * height * 8
geom += MovingTables.record(motion)
return band, geom
@staticmethod
def record(motion):
"""FP64 motion record of one circle for its next step (hold if nothing pending)."""
c_old, c_new, u = motion.record()
return [*c_old, *c_new, motion.radius, *u]
def upload_records(self, circles, stream) -> bool:
"""Enqueue the records when they differ from the device copy; True if advancing.
The pinned staging buffer is reused: callers synchronize ``stream`` after every
upload before the next one (``Simulation._run_moving``), so no copy is in flight
when it is rewritten. ``geom`` is the enqueued state; after a failed copy the
owner is failed and the cache is never trusted again.
"""
import pycuda.driver as cuda
geom = [v for motion, _ in circles for v in self.record(motion)]
if geom != self.geom:
self._geom_pinned[:] = geom
cuda.memcpy_htod_async(self.geom_gpu, self._geom_pinned, stream)
self.geom = geom
g = self.GEOM_DOUBLES
return any(geom[i:i + 2] != geom[i + 2:i + 4] for i in range(0, len(geom), g))
def enable_slot_debug(self):
import numpy as np
import pycuda.driver as cuda
self.slot_debug_gpu = cuda.to_device(np.zeros(self.n_slots * 4, np.float32))
def zero_diagnostics(self, stream):
import pycuda.driver as cuda
cuda.memset_d32_async(self.diag_gpu, 0, self.n_bodies * self.DIAG_FLOATS, stream)
def download_diagnostics(self):
import numpy as np
import pycuda.driver as cuda
out = np.empty((self.n_bodies, self.DIAG_FLOATS), np.float32)
cuda.memcpy_dtoh(out, self.diag_gpu)
return out
-1
View File
@@ -140,7 +140,6 @@ class SimObject:
x=float(c[0]), y=float(c[1]), z=z0,
)
self.control = ObjectControl()
self.motion = None # MovingCircle for a translating circle (body/motion.py)
@property
def surface_actuation(self):
-14
View File
@@ -86,20 +86,6 @@ step/one_step_*.cu → kernel 编排
- 转速 `omega` 属于运行时状态,可在步进期间更新;该更新不改变 `N_OBJS` 或 `OBS_*` 内存布局,因此**不需要**因 `omega` 变化触发重新编译。
- 力矩观测从 `obs` 的 torque segment 读取;force / torque / sensor 段统一由 `config_obs.h` 宏描述。
### 外边界能力(Outer boundaries, dense `Simulation`)
The dense path supports one channel package, not four independently
selectable sides:
- left x = 0: velocity inlet (`method.inlet.scheme`, `profile`, `physics.velocity`);
- right x = nx−1: outlet (`method.outlet.mode`; `neq_extrap` holds rho = 1 with
a `max(u, 0)` backflow clamp when `backflow_clamp` is set);
- bottom and top: one shared `y_wall_bc` (`bounce_back` halfway or
`free_slip`); corners are walls.
`y_wall_bc = "on_site_velocity"` switches to x-periodic with on-site y planes
and requires an object-free domain. There is no x/y-periodic or symmetry
option for domains with bodies; adding outer BC types is a separate design
question, not covered by these keys.
### 稳定性默认窗口(Stability defaults)
- 默认 `method.omega_guard = {min: 0.01, max: 1.99}`,用于约束碰撞频率与 LES 有效粘度路径。
@@ -1,183 +0,0 @@
// Translating circles (docs/moving_bodies.md): M1 MovingCircleCells reclassifies
// band cells and refills uncovered ones; M2 MovingCircleLinks applies the cut links.
// Geometry comes from an immutable FP64 record per body
// {cx_old, cy_old, cx_new, cy_new, r, ux, uy}; the M2 operation order mirrors
// CircleGeometry.build_cut_links / find_circle_intersection with explicit _rn
// operations (bit parity with the host builder is a test target, not a claim).
// Moving circles are never in the packed static links, so this kernel is the
// only writer of their solid slots.
#ifndef CELERIS_MOVING_CIRCLE_CU
#define CELERIS_MOVING_CIRCLE_CU
#if DIM == 2
constexpr int MOVING_BAND_INTS = 6; // x0, y0, width, height, first_slot, body_id
constexpr int MOVING_GEOM_DOUBLES = 7;
// cme_x, cme_y, wen_x, wen_y, link_dm, n_links, cover_jx, cover_jy, cover_mass,
// uncover_jx, uncover_jy, uncover_mass, eq_only, no_donor, crossings
constexpr int MOVING_DIAG_FLOATS = 15;
__device__ __forceinline__ double mc_sq(double v) { return __dmul_rn(v, v); }
__device__ __forceinline__ bool mc_inside(int x, int y, double cx, double cy, double r)
{
return __dadd_rn(mc_sq(__dsub_rn((double)x, cx)), mc_sq(__dsub_rn((double)y, cy))) < mc_sq(r);
}
// Smallest root t in [0, 1] of |p + t c - centre| = r (find_circle_intersection order).
__device__ __forceinline__ bool mc_hit(int x, int y, int ex, int ey,
double cx, double cy, double r, double& t)
{
const double dx = (double)ex, dy = (double)ey;
const double px = __dsub_rn((double)x, cx), py = __dsub_rn((double)y, cy);
const double a = __dadd_rn(mc_sq(dx), mc_sq(dy));
const double b = __dmul_rn(2.0, __dadd_rn(__dmul_rn(dx, px), __dmul_rn(dy, py)));
const double c = __dsub_rn(__dadd_rn(mc_sq(px), mc_sq(py)), mc_sq(r));
const double det = __dsub_rn(mc_sq(b), __dmul_rn(__dmul_rn(4.0, a), c));
if (det < 0.0) return false;
const double s = __dsqrt_rn(det), a2 = __dmul_rn(2.0, a);
const double t1 = __ddiv_rn(__dsub_rn(-b, s), a2);
const double t2 = __ddiv_rn(__dadd_rn(-b, s), a2);
if (0.0 <= t1 && t1 <= 1.0) { t = t1; return true; }
if (0.0 <= t2 && t2 <= 1.0) { t = t2; return true; }
return false;
}
__global__ void MovingCircleLinks(
fpxx* fi, const uint16_t* flag,
const int* band, const double* geom,
unsigned int n_bodies, unsigned int n_slots,
const float* action, float* obs, float* diag, float* slot_debug)
{
const unsigned int tid = threadIdx.x + blockIdx.x * blockDim.x;
if (tid >= n_slots) return;
unsigned int m = 0;
while (m + 1 < n_bodies && tid >= (unsigned int)band[(m + 1) * MOVING_BAND_INTS + 4]) ++m;
const int* b = band + m * MOVING_BAND_INTS;
const unsigned int local = tid - (unsigned int)b[4];
const unsigned int dir = local % 8u + 1u;
const int x = b[0] + (int)((local / 8u) % (unsigned int)b[2]);
const int y = b[1] + (int)((local / 8u) / (unsigned int)b[2]);
const double* g = geom + MOVING_GEOM_DOUBLES * m;
const double cx = g[2], cy = g[3], r = g[4];
const int ex = d_cx[dir], ey = d_cy[dir];
float* debug = slot_debug == nullptr ? nullptr : slot_debug + 4 * tid;
if (debug != nullptr) debug[0] = -1.0f;
double t;
if (mc_inside(x, y, cx, cy, r) || !mc_inside(x + ex, y + ey, cx, cy, r)
|| !mc_hit(x, y, ex, ey, cx, cy, r, t))
return;
const double hx = __dadd_rn((double)x, __dmul_rn(t, (double)ex));
const double hy = __dadd_rn((double)y, __dmul_rn(t, (double)ey));
const double hdx = __dsub_rn(hx, (double)x), hdy = __dsub_rn(hy, (double)y);
const double norm = __dsqrt_rn((double)(ex * ex + ey * ey));
double qd = __ddiv_rn(__dsqrt_rn(__dadd_rn(mc_sq(hdx), mc_sq(hdy))), norm);
qd = fmax(0.01, fmin(qd, 1.0));
const float q = (float)qd;
const float rx = (float)__dsub_rn(hx, cx), ry = (float)__dsub_rn(hy, cy);
// Same two-stage order as build_cut_links + pack_cut_links_to_soa: the fallback
// class is chosen from the clamped FP64 q (q < 1/2 needs a fluid donor at x - c);
// only then are q, rx, ry rounded to FP32 for the BFL branch and spin velocity.
unsigned char fallback = CURVED_FALLBACK_BOUZIDI;
if (qd < 0.5) {
const int xd = x - ex, yd = y - ey;
if (xd < 0 || xd >= (int)NX || yd < 0 || yd >= (int)NY || mc_inside(xd, yd, cx, cy, r)
|| (flag[linear_index((unsigned int)xd, (unsigned int)yd)] & FLAG_FLUID) == 0)
fallback = CURVED_FALLBACK_HALFWAY;
}
if (debug != nullptr) { debug[0] = q; debug[1] = (float)fallback; debug[2] = rx; debug[3] = ry; }
const int bid = b[5];
const float omega = action_omega(action, bid);
const float Uw = (float)g[5] - omega * ry, Vw = (float)g[6] + omega * rx; // u + omega x r
float exchange[3], dm;
apply_bouzidi_link(dir, q, linear_index((unsigned int)x, (unsigned int)y), fi,
Uw, Vw, rx, ry, fallback, obs, bid, exchange, &dm);
if (diag != nullptr) {
float* d = diag + m * MOVING_DIAG_FLOATS;
atomicAdd(&d[0], exchange[0]);
atomicAdd(&d[1], exchange[1]);
atomicAdd(&d[2], Uw * dm); // Wen 2014 correction -u_w (f_t - f_r)
atomicAdd(&d[3], Vw * dm);
atomicAdd(&d[4], dm);
atomicAdd(&d[5], 1.0f);
}
}
// M1: one thread per band cell, launched only on steps with c_old != c_new.
// Membership comes from the immutable old/new predicates, never from flags, so
// classification, refill and the flag write of one cell cannot race with another.
// ddf holds post-collision G^{n-1}; refilled cells get all nine slots at that level.
__global__ void MovingCircleCells(
fpxx* fi, uint16_t* flag, const int* band, const double* geom,
unsigned int n_bodies, unsigned int n_cells, const float* action, float* diag)
{
const unsigned int tid = threadIdx.x + blockIdx.x * blockDim.x;
if (tid >= n_cells) return;
unsigned int m = 0;
while (m + 1 < n_bodies && tid >= (unsigned int)band[(m + 1) * MOVING_BAND_INTS + 4] / 8u) ++m;
const int* b = band + m * MOVING_BAND_INTS;
const unsigned int local = tid - (unsigned int)b[4] / 8u;
const int x = b[0] + (int)(local % (unsigned int)b[2]);
const int y = b[1] + (int)(local / (unsigned int)b[2]);
const double* g = geom + MOVING_GEOM_DOUBLES * m;
const bool in_old = mc_inside(x, y, g[0], g[1], g[4]);
const bool in_new = mc_inside(x, y, g[2], g[3], g[4]);
if (in_old == in_new) return;
const unsigned long k = linear_index((unsigned int)x, (unsigned int)y);
float* d = diag + m * MOVING_DIAG_FLOATS;
float rho = 0.0f, jx = 0.0f, jy = 0.0f;
if (in_new) { // covered: its fluid content leaves the active set
for (unsigned int i = 0; i < NQ; ++i) {
const float f = load_ddf(fi, index_f(k, i));
rho += f; jx += (float)d_cx[i] * f; jy += (float)d_cy[i] * f;
}
flag[k] = FLAG_SOLID | FLAG_OBSTACLE | FLAG_BC_CURVED;
atomicAdd(&d[6], jx); atomicAdd(&d[7], jy); atomicAdd(&d[8], rho);
atomicAdd(&d[14], 1.0f);
return;
}
// Uncovered: donors are fluid in BOTH geometries; NEQ from the neighbour with the
// largest unnormalized c.n > 0 (first direction wins ties), n from c_new.
const float nx = (float)__dsub_rn((double)x, g[2]), ny = (float)__dsub_rn((double)y, g[3]);
float rho_sum = 0.0f, best_dot = 0.0f;
int n_valid = 0, best = -1;
for (unsigned int i = 1; i < NQ; ++i) {
const int xn = x + d_cx[i], yn = y + d_cy[i];
if (mc_inside(xn, yn, g[0], g[1], g[4]) || mc_inside(xn, yn, g[2], g[3], g[4])) continue;
const unsigned long kn = linear_index((unsigned int)xn, (unsigned int)yn);
for (unsigned int q = 0; q < NQ; ++q) rho_sum += load_ddf(fi, index_f(kn, q));
++n_valid;
const float dot = (float)d_cx[i] * nx + (float)d_cy[i] * ny;
if (dot > best_dot) { best_dot = dot; best = (int)i; }
}
const float omega = action_omega(action, b[5]);
const float uwx = (float)g[5] - omega * ny, uwy = (float)g[6] + omega * nx; // at the cell
float feq[NQ], neq[NQ];
compute_feq(n_valid > 0 ? rho_sum / (float)n_valid : (float)RHO, uwx, uwy, feq);
for (unsigned int i = 0; i < NQ; ++i) neq[i] = 0.0f;
if (best >= 0) {
const unsigned long kd = linear_index((unsigned int)(x + d_cx[best]), (unsigned int)(y + d_cy[best]));
float gd[NQ], rd = 0.0f, mx = 0.0f, my = 0.0f, fd[NQ];
for (unsigned int i = 0; i < NQ; ++i) {
gd[i] = load_ddf(fi, index_f(kd, i));
rd += gd[i]; mx += (float)d_cx[i] * gd[i]; my += (float)d_cy[i] * gd[i];
}
compute_feq(rd, mx / rd, my / rd, fd);
for (unsigned int i = 0; i < NQ; ++i) neq[i] = gd[i] - fd[i];
} else {
atomicAdd(&d[12], 1.0f);
}
if (n_valid == 0) atomicAdd(&d[13], 1.0f); // hard failure, checked before commit
for (unsigned int i = 0; i < NQ; ++i) {
const float f = feq[i] + neq[i];
store_ddf(fi, index_f(k, i), f);
rho += f; jx += (float)d_cx[i] * f; jy += (float)d_cy[i] * f;
}
flag[k] = FLAG_FLUID;
atomicAdd(&d[9], jx); atomicAdd(&d[10], jy); atomicAdd(&d[11], rho);
atomicAdd(&d[14], 1.0f);
}
#endif // DIM == 2
#endif // CELERIS_MOVING_CIRCLE_CU
-1
View File
@@ -71,7 +71,6 @@ extern "C"
#include "step/one_step_double.cu"
#include "step/one_step_esopull.cu"
#include "step/aux_kernels.cu"
#include "step/moving_circle.cu"
#include "step/esopull_macro.cu"
#include "step/esopull_sync.cu"
-32
View File
@@ -20,10 +20,6 @@ class LBMStepper:
self.cfg = cfg
self._esopull = (cfg.streaming == "esopull")
# Set by the owner when a step would be wrong (translating circles
# without attached moving tables, a pending target, or a failed step).
self.blocked: str | None = None
self.moving = None # MovingTables attached by the owner (translating circles)
if self._esopull:
self.step_fn = module.get_function("EsoPullStep")
@@ -39,10 +35,6 @@ class LBMStepper:
self.apply_esopull_curved_fn = module.get_function("ApplyEsoPullCurvedKernel")
self.sensor_fn = module.get_function("SensorKernel")
self.force_region_fn = module.get_function("ForceRegionKernel")
# Moving-circle kernels exist only in D2Q9 double-buffer modules.
moving = not self._esopull and cfg.is_d2q9
self.moving_fn = module.get_function("MovingCircleLinks") if moving else None
self.moving_cells_fn = module.get_function("MovingCircleCells") if moving else None
tpb = cfg.threads_per_block
self.block = (tpb, 1, 1)
@@ -78,13 +70,6 @@ class LBMStepper:
stream: cuda.Stream | None = None,
):
"""Advance *n* time steps."""
if n > 0 and self.blocked is not None:
raise RuntimeError(self.blocked)
self._step(n, action_gpu=action_gpu, obs_gpu=obs_gpu, stream=stream)
def _step(self, n, *, action_gpu, obs_gpu, stream=None, advance=False):
"""Unguarded steps; ``advance`` runs one step that moves translating circles."""
assert not advance or n == 1
f = self.field
launch_kw = {}
if stream is not None:
@@ -96,8 +81,6 @@ class LBMStepper:
f.ddf_gpu, self.boundary_values_gpu, np.uint64(self._step_count),
block=self.block, grid=self.boundary_grid, **launch_kw,
)
if self.moving is not None:
self._launch_moving(action_gpu, obs_gpu, advance, **launch_kw)
self._launch_curved(action_gpu, obs_gpu, **launch_kw)
if self._esopull:
@@ -123,21 +106,6 @@ class LBMStepper:
# Any completed GPU step invalidates host DDF mirror.
f.invalidate_host_ddf_cache()
def _launch_moving(self, action_gpu, obs_gpu, advance, **launch_kw):
m, tpb = self.moving, self.cfg.threads_per_block
if advance: # M1 completes before M2 on the same stream
self.moving_cells_fn(
self.field.ddf_gpu, self.field.flag_gpu, m.band_gpu, m.geom_gpu,
np.uint32(m.n_bodies), np.uint32(m.n_cells), action_gpu, m.diag_gpu,
block=(tpb, 1, 1), grid=((m.n_cells + tpb - 1) // tpb, 1, 1), **launch_kw,
)
self.moving_fn(
self.field.ddf_gpu, self.field.flag_gpu, m.band_gpu, m.geom_gpu,
np.uint32(m.n_bodies), np.uint32(m.n_slots), action_gpu, obs_gpu,
m.diag_gpu, m.slot_debug_gpu if m.slot_debug_gpu is not None else np.uintp(0),
block=(tpb, 1, 1), grid=((m.n_slots + tpb - 1) // tpb, 1, 1), **launch_kw,
)
def _launch_curved(self, action_gpu, obs_gpu, **launch_kw):
f = self.field
if f.n_curved == 0:
+5 -178
View File
@@ -26,13 +26,6 @@ import pycuda.driver as cuda
from .config import LBMConfig, BodyConfig, load_lbm_config, load_body_config
from .cuda.context import CudaContext, context_bound
from .cuda import compiler
from .lbm.descriptors import FLUID
# Translating circles step only through their moving tables (attached at initialize).
PENDING_BLOCKED = "a pending translation target is advanced only by Simulation.run(1)"
MOVING_BLOCKED = ("translating circles need the moving kernels and their tables (attached "
"at initialize); "
"positive-step runs are rejected")
from .lbm.field import LBMField
from .lbm.stepper import LBMStepper
from .body.objects import SimObject
@@ -104,8 +97,7 @@ class Simulation:
# -- Object management ---------------------------------------------------
def add_body(self, type: str = "circle", center=None,
radius: float = 0.0, *, surface_actuation=None, translation=None,
**kwargs) -> int:
radius: float = 0.0, *, surface_actuation=None, **kwargs) -> int:
"""Add a simulation body. Returns body_id.
Before ``initialize()`` the object is added to the formal registry
@@ -121,10 +113,6 @@ class Simulation:
angle, half_width (radians), normal_velocity (positive outward).
D2Q9/FP32/unshifted/DB only; set before initialization or stage
a new body. No runtime motion or amplitude setter.
translation: ``body.motion.Translation`` declaring a translating
circle (before initialize only; docs/moving_bodies.md).
Positive-step runs are rejected until ``initialize()`` has
attached its moving tables.
**kwargs: passed to the geometry constructor.
Returns:
@@ -135,10 +123,6 @@ class Simulation:
type_lower = str(type).strip().lower()
if surface_actuation is not None and type_lower != "circle":
raise ValueError("Surface actuation is only supported on circles")
if translation is not None and (type_lower != "circle" or surface_actuation is not None
or self._initialized):
raise ValueError("translation needs a circle without surface actuation, "
"added before initialize()")
if type_lower == "circle":
from .body.geometry.circle import CircleGeometry
@@ -147,11 +131,6 @@ class Simulation:
obj = SimObject(obj_id=-1, geometry=geom,
center=center, radius=radius,
is_sensor=False, surface_actuation=surface_actuation)
if translation is not None:
from .body.motion import MovingCircle
obj.motion = MovingCircle((cx, cy), radius, translation,
on_failure=self._fail_moving)
self.stepper.blocked = MOVING_BLOCKED
elif type_lower == "sensor":
from .body.geometry.circle import CircleGeometry
cx, cy = float(center[0]), float(center[1])
@@ -211,79 +190,6 @@ class Simulation:
raise
self.bodies.jets[index] = jet # later geometry syncs keep the new amplitude
def _fail_moving(self, exc: BaseException) -> None:
# Device geometry is unknown after a failed moving step: same lifecycle as Jets.
self._failed = f"moving circle step failed: {exc!r}"
self.stepper.blocked = self._failed # direct stepper calls are refused as well
def _attach_moving(self) -> None:
# Direct stepper calls stay blocked until the moving tables exist.
tables = getattr(self, "_moving_tables", None)
self.stepper.moving = tables
moving = self._moving_bodies()
if moving and tables is None:
self.stepper.blocked = MOVING_BLOCKED
elif any(obj.motion.pending is not None for obj in moving):
self.stepper.blocked = PENDING_BLOCKED # direct steps never consume a target
else:
self.stepper.blocked = None
def _build_moving_tables(self):
moving = self._moving_bodies()
if not moving:
return None
from .body.motion import MovingTables
return MovingTables.upload([(obj.motion, obj.obj_id) for obj in moving])
@context_bound
def moving_diagnostics(self) -> np.ndarray:
"""Per translating circle (in body order), columns ``MovingTables.DIAG``,
accumulated since obs were last zeroed (diagnostics only, not a force RHS)."""
self._require_usable()
tables = self.stepper.moving
if tables is None:
from .body.motion import MovingTables
return np.zeros((0, MovingTables.DIAG_FLOATS), np.float32)
self.stream.synchronize()
return tables.download_diagnostics()
def _moving_bodies(self):
return [obj for obj in self.bodies.objects if obj.motion is not None]
def _reject_moving_bodies(self, operation: str) -> None:
if self._moving_bodies():
raise ValueError(f"{operation} is not supported with translating circles")
def _validate_moving_bodies(self) -> None:
"""Reject unsupported modes and swept-band placement before any mutation."""
moving = self._moving_bodies()
if not moving:
return
cfg = self.lbm_cfg
if (not cfg.is_d2q9 or cfg.streaming != "double_buffer" or cfg.ddf_shifting
or cfg.store_precision != "FP32"):
raise ValueError("translating circles need D2Q9/FP32/unshifted/double_buffer")
if self.bodies.jets:
raise ValueError("Jets are not supported together with translating circles")
nx, ny = self.field.nx, self.field.ny
base = self.field.build_channel_flags().reshape(ny, nx)
for obj in moving:
x0, x1, y0, y1 = obj.motion.band()
if x0 < 1 or y0 < 1 or x1 > nx - 2 or y1 > ny - 2:
raise ValueError(f"swept band {(x0, x1, y0, y1)} touches the domain edge")
if not np.all((base[y0:y1 + 1, x0:x1 + 1] & FLUID) != 0):
raise ValueError(f"swept band {(x0, x1, y0, y1)} contains non-fluid base cells")
for other in self.bodies.objects:
if other is obj:
continue
(cx, cy), r = other.center[:2], float(other.radius)
if other.motion is not None:
ox0, ox1, oy0, oy1 = other.motion.band()
else:
ox0, ox1, oy0, oy1 = cx - r - 2, cx + r + 2, cy - r - 2, cy + r + 2
if ox0 <= x1 and x0 <= ox1 and oy0 <= y1 and y0 <= oy1:
raise ValueError(f"swept band {(x0, x1, y0, y1)} overlaps body {other.obj_id}")
def _require_usable(self):
failed = getattr(self, "_failed", None)
if failed is not None:
@@ -354,7 +260,7 @@ class Simulation:
# -- Runtime control -----------------------------------------------------
def set_body(self, id: int, omega: float = None,
vx: float = None, vy: float = None, offset=None) -> None:
vx: float = None, vy: float = None) -> None:
"""Set runtime body state (host action array only, no H2D).
The GPU action buffer is updated at the next ``run()`` call.
@@ -362,26 +268,10 @@ class Simulation:
Args:
id: body_id from add_body().
omega: rotation speed (lattice units). ``None`` = no change.
vx: translation velocity x. For a translating circle: the
interval wall velocity of the target, only together with
``offset``; otherwise stored in the body state (not applied
to stationary walls). ``None`` = no change.
vy: translation velocity y; same rules as ``vx``.
offset: target centre offset of a translating circle; with vx/vy
(default 0) it replaces the pending target after validation
against the applied offset (docs/moving_bodies.md, 4a). Only
``run(1)`` advances it; direct stepper calls are blocked meanwhile.
vx: translation velocity x (future). ``None`` = no change.
vy: translation velocity y (future). ``None`` = no change.
"""
obj = self.bodies.get(id)
motion = obj.motion
if motion is not None:
if offset is None and (vx is not None or vy is not None):
raise ValueError("a translating circle takes vx/vy only with an offset")
target = None if offset is None else motion.check_target(
offset, (0.0 if vx is None else vx, 0.0 if vy is None else vy))
vx = vy = None # the motion target, not ObjectState, owns translation
elif offset is not None:
raise ValueError(f"body {id} was not declared with a translation")
proposed = dict(vars(obj.state))
proposed.update({k: float(v) for k, v in (("omega", omega), ("vx", vx), ("vy", vy))
if v is not None})
@@ -397,9 +287,6 @@ class Simulation:
if vy is not None:
obj.state.vy = float(vy)
changed = True
if motion is not None and target is not None:
motion.pending = target
self._attach_moving()
if changed:
self.bodies._refresh_action_from_objects()
@@ -556,7 +443,6 @@ class Simulation:
self.field, self._module, self.lbm_cfg,
)
self.stepper._step_count = _prev_step_count
self._attach_moving()
self._assert_object_count_contract(expected_count=expected_n_objects)
@@ -582,8 +468,6 @@ class Simulation:
# Validate the complete geometry before flags, populations or modules
# change. Compact-list construction publishes no outputs on failure.
next_flags = self.bodies.build_flags(self.field.build_channel_flags())
self._validate_moving_bodies()
self._attach_moving()
if self.bodies.jets and self.bodies.count == 0:
raise ValueError("Jets need bodies with cut links")
self.bodies.build_compact_lists_for(self.bodies.objects, next_flags)
@@ -600,8 +484,6 @@ class Simulation:
self.bodies.sync_to_gpu(self.field, rebuild_flags=False)
else:
self.bodies.ensure_packed_buffers()
self._moving_tables = self._build_moving_tables()
self._attach_moving()
self._assert_runtime_contracts()
self._initialized = True
@@ -617,7 +499,6 @@ class Simulation:
self._require_usable()
if not self._initialized:
raise RuntimeError("Call initialize() before sync_bodies()")
self._reject_moving_bodies("sync_bodies()")
self._assert_allocation_contract()
# 1. Synchronize GPU
@@ -718,13 +599,6 @@ class Simulation:
checkpoint_interval = operator.index(checkpoint_interval)
if steps < 0 or checkpoint_interval < 0:
raise ValueError("steps and checkpoint_interval must be nonnegative")
moving = self._moving_bodies()
if steps > 0 and moving and self.stepper.moving is None:
raise RuntimeError(MOVING_BLOCKED)
if moving and checkpoint_interval > 0:
raise ValueError("checkpoints are not supported with translating circles")
if steps > 1 and any(obj.motion.pending is not None for obj in moving):
raise ValueError("a pending translation target needs run(1)")
self._assert_runtime_contracts()
# Discard any uncommitted body edits before stepping.
if self.bodies.has_pending_edit():
@@ -741,8 +615,6 @@ class Simulation:
# Zero obs segments before step group
if zero_obs:
self.bodies.zero_obs_async(stream)
if self.stepper.moving is not None:
self.stepper.moving.zero_diagnostics(stream)
if checkpoint_interval > 0:
done = 0
@@ -759,9 +631,6 @@ class Simulation:
if done < steps or done % checkpoint_interval == 0:
stream.synchronize()
self.save_checkpoint()
elif self.stepper.moving is not None and steps > 0:
self._run_moving(steps, stream, sync_obs)
return
else:
self.stepper.step(
steps,
@@ -780,37 +649,6 @@ class Simulation:
stream.synchronize()
def _run_moving(self, steps, stream, sync_obs):
"""Steps with translating circles: hold, or one advancing step that commits
each pending target only after synchronization and a zero ``no_donor`` count
(docs/moving_bodies.md 4a, 5). Any failure leaves the Simulation unusable."""
tables = self.stepper.moving
circles = [(obj.motion, obj.obj_id) for obj in self._moving_bodies()]
pending = any(motion.pending is not None for motion, _ in circles)
try:
advancing = tables.upload_records(circles, stream)
self.stepper._step(steps, action_gpu=self.bodies.action_gpu,
obs_gpu=self.bodies.obs_gpu, stream=stream, advance=advancing)
self.bodies.increment_obs_steps(steps)
if sync_obs:
self.bodies.download_obs_full_async(stream)
stream.synchronize()
if advancing:
no_donor = tables.download_diagnostics()[:, tables.DIAG.index("no_donor")]
if np.any(no_donor > 0):
raise RuntimeError("translating circle refill found no donor cell")
if pending: # a target equal to the applied offset is consumed as a hold step
for motion, _ in circles:
motion.commit()
if advancing:
tables.upload_records(circles, stream) # first hold: old = new = applied, u = 0
stream.synchronize()
self._attach_moving()
except BaseException as exc:
for motion, _ in circles: # device geometry/state unknown after any failure
motion.fail(exc)
raise
def step(self, n: int = 1):
"""Advance *n* steps (convenience for interactive use)."""
self.run(n)
@@ -828,16 +666,8 @@ class Simulation:
self.field.download_ddf(step_id=self.stepper.step_count)
return self.field.ddf.copy()
@context_bound
def get_flags(self) -> np.ndarray:
"""Flag array; read back from the device when translating circles may have moved."""
if getattr(self.stepper, "moving", None) is None:
return self.field.flag.copy()
self._require_usable()
self.stream.synchronize()
flags = np.empty_like(self.field.flag)
cuda.memcpy_dtoh(flags, self.field.flag_gpu)
return flags
return self.field.flag.copy()
# -- Runtime parameter updates -------------------------------------------
@context_bound
@@ -868,7 +698,6 @@ class Simulation:
"""Save full simulation state to an HDF5 file."""
self._require_usable()
from .common.checkpoint import save_checkpoint
self._reject_moving_bodies("save_checkpoint()")
if self.bodies.jets:
raise NotImplementedError("Jets are not checkpointed yet")
return save_checkpoint(self.field, self.stepper, self.lbm_cfg,
@@ -879,7 +708,6 @@ class Simulation:
"""Restore simulation state from an HDF5 checkpoint."""
self._require_usable()
from .common.checkpoint import load_checkpoint
self._reject_moving_bodies("load_checkpoint()")
if not self._initialized:
self.initialize()
load_checkpoint(path, self.field, self.stepper, self.lbm_cfg,
@@ -898,7 +726,6 @@ class Simulation:
cuda.Context.synchronize()
# Release owned GPU resources while their context is current.
self.stepper = None
self._moving_tables = None
self.bodies = None
self.field = None
self._module = None
-223
View File
@@ -1,223 +0,0 @@
"""CPU tests of the Dütsch protocol arithmetic (docs/validation/duetsch_re100_kc5_protocol.md §6a)."""
import importlib.util
import math
from pathlib import Path
import numpy as np
import pytest
_spec = importlib.util.spec_from_file_location(
"duetsch_protocol", Path(__file__).resolve().parents[2] / "research/duetsch_re100_kc5/protocol.py")
p = importlib.util.module_from_spec(_spec)
_spec.loader.exec_module(p)
def _load(rel, name):
"""Load a research driver module under a unique name (no bare ``import run``)."""
import sys
path = Path(__file__).resolve().parents[2] / rel
sys.path.insert(0, str(path.parent)) # for the driver's own sibling imports
try:
spec = importlib.util.spec_from_file_location(name, path)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
finally:
sys.path.remove(str(path.parent))
return mod
T = 2520
def test_phase_and_cycle_bookkeeping():
assert p.phase(0, T) == 270.0 and p.cycle(0, T) == 0 # +A, at rest, phi = -90
assert p.phase(T // 4, T) == 0.0 and p.cycle(T // 4, T) == 1 # mean position, u = -U_max
assert p.position(0, T, 1.0) == 1.0
assert p.cycle(T // 4 - 1, T) == 0 and p.cycle(T // 4 + T - 1, T) == 1
assert p.cycle(T // 4 + T, T) == 2
assert p.phase(T // 6, T) == pytest.approx(330.0) and p.cycle(T // 6, T) == 0 # startup quarter
assert p.phase(7 * T // 6, T) == pytest.approx(330.0) and p.cycle(7 * T // 6, T) == 1
for ph, frac in ((180.0, .75), (210.0, 5 / 6)):
s = round(frac * T) + T
assert p.phase(s, T) == pytest.approx(ph) and p.bin_phase(s, T) == ph
assert p.bin_phase(round(.75 * T) + T - 1, T) is None
assert sum(p.bin_phase(s, T) == 180.0 for s in range(T, 2 * T)) == T // 360
def test_settling_and_common_window():
passes = {k: True for k in range(3, 12)}
assert p.settled_start(passes) == 7 # pairs 3->4, 4->5, 5->6
late = {**passes, 5: False}
assert p.settled_start(late) == 9 # pairs 6->7, 7->8, 8->9
assert p.common_window([7, 9], [passes, passes]) == (9, 10, 11)
assert p.common_window([7, 10], [passes, passes]) is None # K + 2 = 12 beyond the cap
assert p.common_window([7, None], [passes, passes]) is None
assert p.common_window([7, 7], [passes, {**passes, 8: False}]) is None # must stay settled
# a case settled early must keep passing while waiting for the common K
assert p.common_window([7, 9], [{**passes, 8: False}, passes]) is None
long = {k: True for k in range(3, 32)}
assert p.common_window([10], [long]) is None # default cap 11
assert p.common_window([29], [long], last_scored=31) == (29, 30, 31)
assert p.common_window([30], [long], last_scored=31) is None
def test_solid_aware_bilinear():
field = np.arange(16.0).reshape(4, 4)
fluid = np.ones((4, 4), bool)
value, used, total = p.bilinear_fluid(field, fluid, 1.25, 1.5)
assert total == pytest.approx(1.0) and value == pytest.approx(0.75 * 0.5 * (5 + 9) + 0.25 * 0.5 * (6 + 10))
fluid[1, 1] = False # one solid corner
value, used, total = p.bilinear_fluid(field, fluid, 1.25, 1.5)
assert total == pytest.approx(1.0 - 0.75 * 0.5)
assert all(not (i == 1 and j == 1) for i, j, _ in used)
assert sum(w for *_, w in used) == pytest.approx(1.0)
fluid[:] = False
assert p.bilinear_fluid(field, fluid, 1.25, 1.5) == (None, (), 0.0)
def test_interval_bases_and_morison_fit_recover_known_coefficients():
b = np.array([p.interval_bases(n, T) for n in range(T // 4, T // 4 + 3 * T)])
phi = 2 * np.pi * (np.arange(T // 4, T // 4 + 3 * T) + .5) / T - np.pi / 2
assert np.allclose(b[:, 1], np.sin(phi), atol=1e-5) # midpoint ~ interval mean
f = 2.09 * b[:, 0] - (math.pi ** 2 * 1.45 / p.KC) * b[:, 1]
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):
for c in (1, 5, 11):
assert p.position(m + c * T, T, A) == p.position(m, T, A)
assert p.phase(m + c * T, T) == p.phase(m, T)
v0 = p.position(m + 1, T, A) - p.position(m, T, A)
assert p.position(m + 1 + c * T, T, A) - p.position(m + c * T, T, A) == v0
assert p.cycle(T // 4 + 5 * T, T) == 6 # unwrapped index stays separate
assert p.interval_bases(123 + 7 * T, T) == p.interval_bases(123, T)
def test_exact_point_inside_body_is_missing_even_with_fluid_corners():
field = np.zeros((6, 6))
fluid = np.ones((6, 6), bool)
fluid[3, 3] = False # only one corner solid
centre, radius = (3.0, 3.0), 0.3
value, used, total = p.sample(field, fluid, 3.2, 3.1, centre, radius) # inside the circle
assert value is None and used == () and total == 0.0
value, used, total = p.sample(field, fluid, 3.35, 3.0, centre, radius) # just outside
assert value is not None and total > 0.0
def test_generated_config_passes_the_real_loader(tmp_path):
import json
run = _load("research/duetsch_re100_kc5/run.py", "duetsch_run")
from CelerisLab.config import load_lbm_config
cfg_dict, u_max, n = run.config(20, 10.0, 2520)
path = tmp_path / "config_lbm.json"
path.write_text(json.dumps(cfg_dict))
cfg = load_lbm_config(str(path))
assert (cfg.nx, cfg.ny) == (n, n) == (200, 200)
assert cfg.collision == "MRT" and cfg.streaming == "double_buffer" and not cfg.ddf_shifting
assert cfg.velocity == 0.0 and cfg.viscosity == pytest.approx(u_max * 20 / 100)
assert cfg.y_wall_bc == "bounce_back"
def _analyze():
return _load("research/duetsch_re100_kc5/analyze.py", "duetsch_analyze")
def test_hf_energy_is_parseval_weighted():
a = _analyze()
n = 360
t = np.arange(n)
x = 1.0 + np.cos(2 * np.pi * 5 * t / n) + 2.0 * np.cos(2 * np.pi * 30 * t / n) + 0.5 * np.cos(np.pi * t)
e = a.one_sided_energy(np.fft.rfft(x), n) / n
assert e.sum() == pytest.approx(np.sum(x ** 2)) # Parseval
expected = (2.0 ** 2 / 2 + 0.5 ** 2) / np.mean(x ** 2) # bins >= 21 (30 and Nyquist)
assert e[21:].sum() / e.sum() == pytest.approx(expected)
def test_horizon_excludes_future_coverage_and_events(monkeypatch):
a = _analyze()
T, horizon = 360, 4
steps = round((0.25 + 6) * T) # cycles 1..6 recorded
diag = np.zeros((steps, 15))
diag[round((0.25 + horizon) * T):, 13] = 1.0 # synthetic future no_donor
rows = [(s, p.cycle(s, T), 180.0, 0.0, 0.0, 0.1, 0.0, 1.0) for s in range(steps)
if p.bin_phase(s, T) is not None and p.cycle(s, T) > p.DISCARD]
case = dict(path="c", D=20, T=T, box=10, n=200, u_max=.04, nu=.008, tau=.524, A=1.0,
steps=steps, cycles=6, F_ref=1.0, force=np.zeros((steps, 2)), diag=diag,
samples=np.asarray(rows, float))
monkeypatch.setattr(a, "load", lambda path: case)
out = []
monkeypatch.setattr("builtins.print", lambda text: out.append(text))
a.main(["c", "--horizon", str(horizon)])
import json
entry = json.loads(out[0])["cases"][0]
assert sorted(int(k) for k in entry["coverage"]) == [3, 4] # nothing from cycles 5, 6
assert entry["no_donor"] == 0.0
def _capture():
spec = importlib.util.spec_from_file_location(
"duetsch_capture", Path(__file__).resolve().parents[2] / "research/duetsch_re100_kc5/capture.py")
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
return mod
def test_capture_crop_downsample_and_trends():
c = _capture()
n, D = 2400, 40
xm = ym = 0.5 * (n - 1)
A, R = p.amplitude(D), 20.0
box = c.crop_box(xm, ym, D, n, (xm - A - R, xm + A + R, ym - R, ym + R))
assert box == (880, 1520, 960, 1440) and box[1] - box[0] + 1 == 641 and box[3] - box[2] + 1 == 481
with pytest.raises(ValueError):
c.crop_box(xm, ym, D, 600, (0, 1, 0, 1)) # leaves the domain
with pytest.raises(ValueError):
c.crop_box(xm, ym, D, n, (xm - 9 * D, xm, ym, ym)) # clips the swept body
field = np.arange(64.0).reshape(8, 8)
fluid = np.ones((8, 8), bool)
fluid[:4, :4] = False
down = c.downsample(field, fluid, 4)
assert np.isnan(down[0, 0]) and down[1, 1] == field[4:, 4:].mean()
rho = np.ones((n, n)); rho[:, 1:81] = 1.01
row = c.trend_row(10, 3, 180.0, rho, np.zeros((n, n)), np.zeros((n, n)),
np.ones((n, n), bool), D, n, box)
assert row[7] == pytest.approx(1.01) and row[9] == pytest.approx(1.0)
def test_dump_steps_are_the_first_step_of_each_bin():
T = 5040
for k in (11, 21, 30, 31):
starts = [s for s in range(T // 4 + (k - 1) * T, T // 4 + k * T)
if p.bin_phase(s, T) is not None and p.phase(s, T) == p.bin_phase(s, T)]
assert len(starts) == 3 and all(p.cycle(s, T) == k for s in starts)
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@@ -1,641 +0,0 @@
"""Translating-circle host contract (docs/moving_bodies.md 4a, 5, 7).
Real Simulation entrypoints with device doubles; no CUDA context or GPU work.
"""
import math
from types import SimpleNamespace
import pytest
from CelerisLab.body.motion import MAX_STEP, R_MIN, MovingCircle, Translation
BAD = (float("nan"), float("inf"))
def circle(box=(-2., 2., -3., 3.), speed=.1):
return MovingCircle((50., 40.), 10., Translation(box, speed))
def test_translation_and_radius_validation():
for box in ((0., 1., -1., 1.)[:3], (.5, 1., -1., 1.), (-1., 1., BAD[0], 1.)):
with pytest.raises(ValueError):
Translation(box, .1)
for speed in (0., MAX_STEP + 1e-9) + BAD:
with pytest.raises(ValueError):
Translation((0., 0., -1., 1.), speed)
with pytest.raises(ValueError):
MovingCircle((0., 0.), R_MIN - .1, Translation((0., 0., -1., 1.), .1))
def test_targets_validate_against_applied_and_last_wins():
c = circle()
c.set_target((0., .3), (0., .05))
c.set_target((0., .5), (0., .05)) # second setter replaces, checked vs applied (0, 0)
assert c.pending == ((0., .5), (0., .05))
for offset, velocity in (((0., .51), (0., 0.)), # Euclidean bound
((.36, .36), (0., 0.)), # |dc|_2 = .509
((0., 3.1), (0., 0.)), # outside box
((0., .1), (0., .11)), # speed bound
((0., 0.), (0., .01)), # hold with sliding velocity
((BAD[0], 0.), (0., 0.)), ((0., 0.), (0., BAD[1]))):
with pytest.raises(ValueError):
c.set_target(offset, velocity)
assert c.pending == ((0., .5), (0., .05)) # invalid replacement keeps the old target
c.set_target((.35, .35), (0., 0.)) # |dc|_2 = .495 inside the bound
assert c.applied == (0., 0.)
def test_record_commit_and_hold(monkeypatch):
sim, writes, c = routed_advancing_simulation(monkeypatch)
assert c.record() == ((50., 40.), (50., 40.), (0., 0.))
sim.set_body(0, offset=(0., .25), vy=.05)
assert c.record() == ((50., 40.), (50., 40.25), (0., .05))
seen_at_sync = []
sim.run(1, stream=SimpleNamespace(synchronize=lambda: seen_at_sync.append(c.applied)))
assert seen_at_sync == [(0., 0.), (0., .25)] # commit between step sync and hold sync
uploads = [w[1][0] for w in writes if isinstance(w, tuple) and w[0] == "upload"]
assert uploads == [((50., 40.), (50., 40.25), (0., .05)),
((50., 40.25), (50., 40.25), (0., 0.))]
assert c.applied == (0., .25) and c.pending is None # offset-only commit
sim.run(1, stream=STREAM) # no new target: hold step
uploads = [w[1][0] for w in writes if isinstance(w, tuple) and w[0] == "upload"]
assert uploads[-1] == ((50., 40.25), (50., 40.25), (0., 0.)) and c.applied == (0., .25)
sim.set_body(0, offset=(0., 0.), vy=-.05) # zero offset is a real target
assert c.pending == ((0., 0.), (0., -.05))
sim.run(1, stream=STREAM)
assert c.applied == (0., 0.) and c.pending is None
@pytest.mark.parametrize("stage", ("upload", "step", "synchronize"))
def test_failure_after_upload_attempt_is_fail_closed(monkeypatch, stage):
sim, writes, c = routed_advancing_simulation(monkeypatch, fail="upload" if stage == "upload" else None)
sim.set_body(0, offset=(0., .25), vy=.05)
def fail(*a, **k):
raise RuntimeError(f"{stage} failed")
if stage == "step":
sim.stepper._step = fail
stream = SimpleNamespace(synchronize=fail) if stage == "synchronize" else STREAM
with pytest.raises(RuntimeError, match=f"{stage} failed"):
sim.run(1, stream=stream)
assert c.failed and c.applied == (0., 0.) and c.pending == ((0., .25), (0., .05))
assert sim._failed is not None and sim.stepper.blocked == sim._failed
for later in (c.record, lambda: sim.set_body(0, offset=(0., .1), vy=0.)):
with pytest.raises(RuntimeError, match="unknown"):
later()
with pytest.raises(RuntimeError, match="Simulation failed"):
sim.run(1, stream=STREAM)
with pytest.raises(RuntimeError, match="moving circle step failed"):
sim.stepper.step(1, action_gpu=None, obs_gpu=None)
def test_band_covers_offset_box_with_margin():
assert circle().band() == (50 - 2 - 10 - 2, 50 + 2 + 10 + 2, 40 - 3 - 10 - 2, 40 + 3 + 10 + 2)
# D2Q9 non-rest directions, paired order of lbm/descriptors.
_CX = (1, -1, 0, 0, 1, -1, 1, -1)
_CY = (0, 0, 1, -1, 1, -1, -1, 1)
def _inside(x: int, y: int, c, r: float) -> bool:
return (x - c[0]) ** 2 + (y - c[1]) ** 2 < r * r
def empty_donor_cells(c_old, c_new, radius: float):
"""Fresh cells (inside c_old, outside c_new) whose donor set V(x) is empty."""
r = radius
xs = range(math.floor(min(c_old[0], c_new[0]) - r) - 1, math.ceil(max(c_old[0], c_new[0]) + r) + 2)
ys = range(math.floor(min(c_old[1], c_new[1]) - r) - 1, math.ceil(max(c_old[1], c_new[1]) + r) + 2)
empty = []
for x in xs:
for y in ys:
if not _inside(x, y, c_old, r) or _inside(x, y, c_new, r):
continue
if not any(not _inside(x + cx, y + cy, c_old, r) and not _inside(x + cx, y + cy, c_new, r)
for cx, cy in zip(_CX, _CY)):
empty.append((x, y))
return empty
def enumerate_donor_coverage(radius: float, positions: int = 8, directions: int = 16) -> int:
"""Count empty-donor fresh cells over sub-cell centres and moves of MAX_STEP.
Evidence for the declared bounds (radius >= R_MIN, |dc|_2 <= MAX_STEP),
not a proof; the device keeps the ``no_donor`` counter.
"""
count = 0
for i in range(positions):
for j in range(positions):
c_old = (i / positions, j / positions)
for k in range(directions):
a = 2.0 * math.pi * k / directions
c_new = (c_old[0] + MAX_STEP * math.cos(a), c_old[1] + MAX_STEP * math.sin(a))
count += len(empty_donor_cells(c_old, c_new, radius))
return count
@pytest.mark.parametrize("radius", (R_MIN, 4.3, 7.5, 12.0))
def test_refill_donor_sets_nonempty_within_bounds(radius):
# Evidence for R >= R_MIN and |dc|_2 <= MAX_STEP on a fixed sample, not a proof.
assert enumerate_donor_coverage(radius) == 0
pytest.importorskip("pycuda.driver")
from CelerisLab import simulation as module # noqa: E402
from tests.unit.test_simulation_lifecycle import Owner, make_simulation # noqa: E402
class ClosableOwner(Owner):
"""Owner double that refuses activation after close, like CudaContext.activate."""
def activate(self):
if self.is_closed:
raise RuntimeError("CUDA context is closed")
return super().activate()
def moving_simulation(monkeypatch, *, moving=True):
sim = make_simulation(monkeypatch)
obj = SimpleNamespace(motion=circle() if moving else None, obj_id=0,
center=(50., 40.), radius=10.)
writes = []
sim._failed, sim._initialized = None, True
sim.bodies = SimpleNamespace(objects=[obj], count=1, jets=[], action_gpu=None, obs_gpu=None,
has_pending_edit=lambda: False,
_upload_action_async=lambda s: writes.append("action"),
zero_obs_async=lambda s: writes.append("obs"),
increment_obs_steps=lambda n: writes.append("count"),
download_obs_full_async=lambda s: writes.append("download"))
sim.stepper = SimpleNamespace(step=lambda n, **k: writes.append(("step", n)), blocked=None,
moving=None)
sim._assert_runtime_contracts = lambda: None
return sim, writes
STREAM = SimpleNamespace(synchronize=lambda: None)
def test_positive_steps_rejected_before_device_writes(monkeypatch):
sim, writes = moving_simulation(monkeypatch)
sim.bodies.objects[0].motion.set_target((0., .1), (0., .01))
sim.bodies.objects[0].motion.applied = (0., 0.)
for call in (lambda: sim.run(1, stream=STREAM), lambda: sim.run(5, stream=STREAM),
lambda: sim.step(), lambda: sim.run(3, stream=STREAM, checkpoint_interval=1)):
with pytest.raises(RuntimeError, match="moving kernels"):
call()
with pytest.raises(RuntimeError, match="moving kernels"): # nominal at rest as well
sim.bodies.objects[0].motion.pending = None
sim.run(1)
sim.bodies.objects[0].state = SimpleNamespace(omega=.02) # spin does not lift the guard
with pytest.raises(RuntimeError, match="moving kernels"):
sim.run(2, stream=STREAM)
assert writes == [] and sim.bodies.objects[0].motion.applied == (0., 0.)
def test_run_zero_keeps_pending_and_static_runs_proceed(monkeypatch):
sim, writes = moving_simulation(monkeypatch)
motion = sim.bodies.objects[0].motion
motion.set_target((0., .1), (0., .01))
sim.run(0, stream=STREAM) # existing action/obs work only; no motion upload or commit
assert motion.pending == ((0., .1), (0., .01)) and motion.applied == (0., 0.)
assert ("step", 0) in writes
static, writes = moving_simulation(monkeypatch, moving=False)
static.save_checkpoint = lambda *a: writes.append("checkpoint")
static.run(3, stream=STREAM)
static.run(4, stream=STREAM, checkpoint_interval=2)
assert writes.count(("step", 3)) == 1 and writes.count(("step", 2)) == 2
def test_direct_stepper_entry_is_guarded():
from CelerisLab.lbm.stepper import LBMStepper
launches = []
module = SimpleNamespace(get_function=lambda name: lambda *a, **k: launches.append(name))
cfg = SimpleNamespace(streaming="double_buffer", threads_per_block=128, is_d2q9=True,
nx=64, ny=32, nz=1)
field = SimpleNamespace(ddf_gpu="ddf", temp_gpu="temp", n_curved=0)
stepper = LBMStepper(field, module, cfg)
assert stepper.blocked is None
stepper.blocked = "translating circles need the moving kernels"
for n in (1, 3):
with pytest.raises(RuntimeError, match="moving kernels"):
stepper.step(n, action_gpu=None, obs_gpu=None)
assert launches == [] and (field.ddf_gpu, field.temp_gpu) == ("ddf", "temp")
assert stepper.step_count == 0
stepper.step(0, action_gpu=None, obs_gpu=None) # zero steps stay a no-op
assert launches == [] and stepper.step_count == 0
def test_moving_body_rejects_topology_and_checkpoint(monkeypatch):
sim, _ = moving_simulation(monkeypatch)
for call in (sim.sync_bodies, sim.save_checkpoint, lambda: sim.load_checkpoint("x.h5")):
with pytest.raises(ValueError, match="translating circles"):
call()
# -- Real-object routing, initialize rejections, packing, lifecycle -------------
import numpy as np # noqa: E402
from CelerisLab.body.geometry.circle import CircleGeometry # noqa: E402
from CelerisLab.body.manager import ObjectManager # noqa: E402
from CelerisLab.body.objects import SimObject # noqa: E402
from CelerisLab.lbm.descriptors import FLUID, SOLID # noqa: E402
class Cfg:
dim, is_d3q19, is_d2q9 = 2, False, True
streaming, ddf_shifting, store_precision, y_wall_bc = "double_buffer", False, "FP32", "bounce_back"
def body(x, y, r, translation=None, **kw):
obj = SimObject(obj_id=-1, geometry=CircleGeometry(x, y, r), center=(x, y), radius=r, **kw)
if translation is not None:
obj.motion = MovingCircle((x, y), r, translation)
return obj
def routed_simulation(monkeypatch):
sim = make_simulation(monkeypatch)
sim._failed, sim._initialized, sim.lbm_cfg = None, False, Cfg()
sim.stepper = SimpleNamespace(blocked=None)
sim.bodies = ObjectManager(nx=120, ny=80, nz=1, nq=9, cfg=Cfg())
return sim
def test_add_body_and_set_body_route_targets(monkeypatch):
sim = routed_simulation(monkeypatch)
bid = sim.add_body("circle", (50., 40.), 10., translation=Translation((-2., 2., -3., 3.), .1))
still = sim.add_body("circle", (100., 40.), 5.)
motion = sim.bodies.get(bid).motion
sim._moving_tables = "tables"
sim._attach_moving()
assert sim.stepper.blocked is None
sim.set_body(bid, offset=(0., .3), vy=.05)
assert sim.stepper.blocked == module.PENDING_BLOCKED # direct steps never consume a target
sim.set_body(bid, offset=(0., .4), vy=.05) # last wins
for kwargs in (dict(offset=(0., .6)), dict(vy=.05), dict(vx=.05),
dict(offset=(0., .1), vy=.2), dict(offset=(0., 0.), vy=.01)):
with pytest.raises(ValueError):
sim.set_body(bid, **kwargs)
assert motion.pending == ((0., .4), (0., .05)) # invalid input keeps the target
sim.set_body(bid, omega=.01) # omega-only keeps the pending target
obj = sim.bodies.get(bid)
assert obj.state.omega == .01 and (obj.state.vx, obj.state.vy) == (0., 0.)
assert motion.pending == ((0., .4), (0., .05)) and motion.applied == (0., 0.)
with pytest.raises(ValueError, match="not declared"):
sim.set_body(still, offset=(0., .1))
sim.set_body(still, vx=.01) # stationary API unchanged
assert sim.bodies.get(still).state.vx == .01 and sim.bodies.get(still).motion is None
for kwargs in (dict(type="sensor"), dict(surface_actuation=dict(angle=0., half_width=.2,
normal_velocity=.01))):
kind = kwargs.pop("type", "circle")
with pytest.raises(ValueError, match="translation"):
sim.add_body(kind, (20., 20.), 5., translation=Translation((0., 0., 0., 0.), .1),
**kwargs)
class Tables:
"""MovingTables double: records uploads, steps and diagnostics reads."""
DIAG = ("no_donor",)
def __init__(self, log, no_donor=0., fail=None):
self.log, self.no_donor, self.fail = log, no_donor, fail
def upload_records(self, circles, stream):
records = [m.record() for m, _ in circles]
self.log.append(("upload", records))
uploads = sum(1 for w in self.log if isinstance(w, tuple) and w[0] == "upload")
if self.fail == "upload" or (self.fail == "hold_upload" and uploads == 2):
raise RuntimeError("upload failed")
return any(r[0] != r[1] for r in records)
def zero_diagnostics(self, stream):
self.log.append("zero_diag")
def download_diagnostics(self):
return np.array([[self.no_donor]], np.float32)
def advancing_simulation(monkeypatch, **tables):
sim, writes = moving_simulation(monkeypatch)
sim.bodies.objects[0].motion = circle()
sim.stepper = SimpleNamespace(
moving=Tables(writes, **tables), blocked=None,
_step=lambda n, advance=False, **k: writes.append(("step", n, advance)))
from CelerisLab.lbm.stepper import LBMStepper
sim.stepper.step = LBMStepper.step.__get__(sim.stepper) # real public entry
sim._moving_tables = sim.stepper.moving
return sim, writes, sim.bodies.objects[0].motion
def routed_advancing_simulation(monkeypatch, **tables):
"""Real body registration, target routing, run and owner hook; double device I/O."""
sim = routed_simulation(monkeypatch)
bid = sim.add_body("circle", (50., 40.), 10., translation=Translation((-2., 2., -3., 3.), .1))
sim._initialized = True
sim._assert_runtime_contracts = lambda: None
writes = []
monkeypatch.setattr(sim.bodies, "_upload_action_async", lambda s: writes.append("action"))
monkeypatch.setattr(sim.bodies, "zero_obs_async", lambda s: writes.append("obs"))
monkeypatch.setattr(sim.bodies, "download_obs_full_async", lambda s: writes.append("download"))
sim.stepper = SimpleNamespace(
moving=Tables(writes, **tables), blocked=None,
_step=lambda n, advance=False, **k: writes.append(("step", n, advance)))
from CelerisLab.lbm.stepper import LBMStepper
sim.stepper.step = LBMStepper.step.__get__(sim.stepper)
sim._moving_tables = sim.stepper.moving
sim._attach_moving()
return sim, writes, sim.bodies.get(bid).motion
def test_run_one_advances_and_commits_after_sync(monkeypatch):
sim, writes, motion = advancing_simulation(monkeypatch)
motion.set_target((0., .25), (0., .05))
with pytest.raises(ValueError, match="run\\(1\\)"): # multi-step with a target
sim.run(2, stream=STREAM)
assert writes == [] and motion.pending is not None
sim.run(0, stream=STREAM) # zero steps never consume the target
assert motion.pending is not None
sim.run(1, stream=STREAM)
uploads = [w for w in writes if isinstance(w, tuple) and w[0] == "upload"]
assert uploads[0][1] == [((50., 40.), (50., 40.25), (0., .05))]
assert uploads[1][1] == [((50., 40.25), (50., 40.25), (0., 0.))] # first hold after move
assert ("step", 1, True) in writes
assert motion.applied == (0., .25) and motion.pending is None
writes.clear()
sim.run(3, stream=STREAM) # hold steps: no advance
assert ("step", 3, False) in writes and motion.applied == (0., .25)
def test_zero_motion_target_is_consumed_by_run_one(monkeypatch):
sim, writes, motion = advancing_simulation(monkeypatch)
motion.set_target((0., 0.), (0., 0.)) # equal to applied: a hold target
sim._attach_moving()
assert sim.stepper.blocked == module.PENDING_BLOCKED
sim.run(1, stream=STREAM)
assert motion.pending is None and motion.applied == (0., 0.)
assert sim.stepper.blocked is None and ("step", 1, False) in writes
writes.clear()
sim.run(3, stream=STREAM) # no stale latch
assert ("step", 3, False) in writes
@pytest.mark.parametrize("streaming,d2q9,bound", [("double_buffer", True, True),
("double_buffer", False, False),
("esopull", True, False)])
def test_moving_kernels_bound_only_for_d2q9_double_buffer(monkeypatch, streaming, d2q9, bound):
from CelerisLab.lbm import stepper as stepper_module
monkeypatch.setattr(stepper_module.cuda, "mem_alloc", lambda n: object())
moving = {"MovingCircleLinks", "MovingCircleCells"}
def get_function(name):
if name in moving and not (d2q9 and streaming == "double_buffer"):
raise KeyError(name) # absent from D3Q19 / EsoPull modules
return lambda *a, **k: None
cfg = SimpleNamespace(streaming=streaming, threads_per_block=128, is_d2q9=d2q9,
nx=16, ny=8, nz=4, nq=9 if d2q9 else 19)
stepper = stepper_module.LBMStepper(SimpleNamespace(), SimpleNamespace(get_function=get_function), cfg)
assert (stepper.moving_fn is not None) == bound and (stepper.moving_cells_fn is not None) == bound
def test_moving_diagnostics_empty_shape_matches_layout(monkeypatch):
from CelerisLab.body.motion import MovingTables
sim = make_simulation(monkeypatch)
sim._failed, sim.stepper = None, SimpleNamespace(moving=None)
assert sim.moving_diagnostics().shape == (0, MovingTables.DIAG_FLOATS)
@pytest.mark.parametrize("failure", ("upload", "first_sync", "no_donor", "hold_upload",
"hold_sync"))
def test_failed_advance_fails_simulation(monkeypatch, failure):
kwargs = dict(no_donor=1.) if failure == "no_donor" else dict(fail=failure)
sim, writes, motion = advancing_simulation(monkeypatch, **kwargs)
motion._on_failure = sim._fail_moving
motion.set_target((0., .25), (0., .05))
syncs = []
def synchronize(): # stands in for an asynchronous failure surfacing at sync
syncs.append(1)
if (failure, len(syncs)) in (("first_sync", 1), ("hold_sync", 2)):
raise RuntimeError("sync failed")
with pytest.raises(RuntimeError):
sim.run(1, stream=SimpleNamespace(synchronize=synchronize))
# Before the step-group sync and no_donor check nothing is committed; the hold
# record is staged after the commit (applied already matches the moved device).
committed = failure in ("hold_upload", "hold_sync")
assert motion.applied == ((0., .25) if committed else (0., 0.))
assert (motion.pending is None) == committed
assert motion.failed and sim._failed is not None
assert sim.stepper.blocked == sim._failed # direct stepper reuse refused too
with pytest.raises(RuntimeError, match="Simulation failed"):
sim.run(1, stream=STREAM)
def test_failed_hold_step_blocks_the_direct_stepper(monkeypatch):
# No target is pending, so only the failure latch can refuse direct steps.
from CelerisLab.lbm.stepper import LBMStepper
sim, writes, motion = advancing_simulation(monkeypatch, fail="upload")
motion._on_failure = sim._fail_moving
launches = []
kernels = SimpleNamespace(get_function=lambda name: lambda *a, **k: launches.append(name))
cfg = SimpleNamespace(streaming="double_buffer", threads_per_block=128, is_d2q9=True,
nx=64, ny=32, nz=1)
field = SimpleNamespace(ddf_gpu="ddf", temp_gpu="temp", flag_gpu="flag", n_curved=0)
stepper = LBMStepper(field, kernels, cfg)
stepper.moving = sim.stepper.moving
sim.stepper = stepper
assert motion.pending is None and stepper.blocked is None
with pytest.raises(RuntimeError, match="upload failed"):
sim.run(2, stream=STREAM) # hold step
assert sim._failed is not None and stepper.blocked == sim._failed
with pytest.raises(RuntimeError, match="moving circle step failed"):
stepper.step(1, action_gpu=None, obs_gpu=None)
assert launches == [] and stepper.step_count == 0
assert (field.ddf_gpu, field.temp_gpu) == ("ddf", "temp")
def test_moving_tables_layout_and_attachment(monkeypatch):
from CelerisLab.body.motion import MovingTables
a = MovingCircle((50., 40.), 10., Translation((-1., 1., -3., 3.), .1))
b = MovingCircle((90.25, 30.5), 5., Translation((0., 0., 0., 0.), .1))
band, geom = MovingTables.layout([(a, 2), (b, 5)])
wa, ha = 63 - 37 + 1, 55 - 25 + 1
assert band == [37, 25, wa, ha, 0, 2, 83, 23, 16, 16, wa * ha * 8, 5]
assert geom == [50., 40., 50., 40., 10., 0., 0., 90.25, 30.5, 90.25, 30.5, 5., 0., 0.] # hold
sim = routed_simulation(monkeypatch)
sim.add_body("circle", (50., 40.), 10., translation=Translation((0., 0., 0., 0.), .1))
sim._moving_tables = "tables"
sim._attach_moving()
assert sim.stepper.moving == "tables" and sim.stepper.blocked is None
sim._moving_tables = None
sim._attach_moving()
assert sim.stepper.moving is None and sim.stepper.blocked is not None
class CountingOwner(Owner):
"""Owner double that counts nested activations like CudaContext."""
def __init__(self):
super().__init__()
self.active = 0
def activate(self):
from contextlib import contextmanager
@contextmanager
def scope():
self.active += 1
try:
yield self
finally:
self.active -= 1
return scope()
def test_public_diagnostics_keep_owner_active_through_sync_and_download(monkeypatch):
sim = make_simulation(monkeypatch)
sim.ctx, sim._failed = CountingOwner(), None
seen = []
sim._stream = SimpleNamespace(synchronize=lambda: seen.append(("sync", sim.ctx.active)))
expected = np.arange(6, dtype=np.float32).reshape(1, 6)
def download():
seen.append(("download", sim.ctx.active))
return expected
sim.stepper = SimpleNamespace(moving=SimpleNamespace(download_diagnostics=download))
assert sim.moving_diagnostics() is expected
assert [name for name, _ in seen] == ["sync", "download"]
assert all(active > 0 for _, active in seen) and sim.ctx.active == 0
def test_stepper_launches_moving_links_before_static_curved():
from CelerisLab.lbm.stepper import LBMStepper
launches = []
module = SimpleNamespace(get_function=lambda name: lambda *a, **k: launches.append((name, a, k)))
cfg = SimpleNamespace(streaming="double_buffer", threads_per_block=128, is_d2q9=True,
nx=64, ny=32, nz=1)
curved = SimpleNamespace(**{f"{name}_gpu": name for name in (
"fluid_idx", "dir", "q", "rx", "ry", "rz", "fallback_class", "body_id")},
surface_velocity=None, surface_velocity_gpu=None, link_exchange_gpu=None)
field = SimpleNamespace(ddf_gpu="ddf", temp_gpu="temp", flag_gpu="flag", n_curved=5,
curved=curved, invalidate_host_ddf_cache=lambda: None)
stepper = LBMStepper(field, module, cfg)
stepper._launch_force_region = stepper._launch_sensor = lambda *a, **k: None
stepper.moving = SimpleNamespace(band_gpu="band", geom_gpu="geom", diag_gpu="diag",
slot_debug_gpu=None, n_bodies=1, n_slots=300)
stepper.step(2, action_gpu="act", obs_gpu="obs")
names = [name for name, _, _ in launches]
assert names == ["MovingCircleLinks", "CurvedBoundaryKernel", "OneStep"] * 2
assert stepper.step_count == 2
assert launches[1][1][0] == "ddf" and launches[3][1][0] == "temp" # swap between steps
args, kw = launches[0][1], launches[0][2]
assert args[:4] == ("ddf", "flag", "band", "geom") and int(args[5]) == 300
assert kw["grid"] == (3, 1, 1) and kw["block"] == (128, 1, 1)
def test_recompile_installs_a_guarded_stepper(monkeypatch):
from CelerisLab.lbm.stepper import LBMStepper
sim = routed_simulation(monkeypatch)
sim.add_body("circle", (50., 40.), 10., translation=Translation((0., 0., -1., 1.), .1))
launches = []
kernel_module = SimpleNamespace(get_function=lambda name: lambda *a, **k: launches.append(name))
monkeypatch.setattr(module.compiler, "build_module", lambda *a, **k: kernel_module)
sim.lbm_cfg = SimpleNamespace(validate_runtime=lambda: None, viscosity=.01, omega=1.,
streaming="double_buffer", threads_per_block=128,
is_d2q9=True, nx=120, ny=80, nz=1)
sim._compiled_viscosity = .01
sim._assert_allocation_contract = lambda: None
sim._resolve_compile_arch = lambda: "sm_70"
sim._assert_object_count_contract = lambda **k: None
sim.field = SimpleNamespace(module=None, invalidate_module_constant_cache=lambda: None,
_upload_params=lambda: None, _runtime_params={},
ddf_gpu="ddf", temp_gpu="temp", n_curved=0)
sim.stepper = SimpleNamespace(_step_count=7, blocked=None)
sim._recompile()
assert isinstance(sim.stepper, LBMStepper) and sim.stepper.step_count == 7
with pytest.raises(RuntimeError, match="moving kernels"):
sim.stepper.step(1, action_gpu=None, obs_gpu=None)
assert launches == [] and (sim.field.ddf_gpu, sim.field.temp_gpu) == ("ddf", "temp")
assert sim.stepper.step_count == 7
def validate(monkeypatch, objects, flags=None, **cfg):
sim = routed_simulation(monkeypatch)
for obj in objects:
sim.bodies.add(obj)
for name, value in cfg.items():
setattr(sim.lbm_cfg, name, value)
base = np.full(120 * 80, FLUID, np.uint16) if flags is None else flags
sim.field = SimpleNamespace(nx=120, ny=80, build_channel_flags=lambda: base.copy())
sim._validate_moving_bodies()
def test_initialize_rejects_band_and_modes(monkeypatch):
t = Translation((-1., 1., -3., 3.), .1)
validate(monkeypatch, [body(50., 40., 10., t), body(100., 40., 5.)]) # accepted
walls = np.full(120 * 80, FLUID, np.uint16)
walls[60 + 30 * 120] = SOLID
cases = [([body(10., 40., 10., t)], None, {}, "domain edge"),
([body(50., 40., 10., t)], walls, {}, "non-fluid"),
([body(50., 40., 10., t), body(68., 40., 4.)], None, {}, "overlaps"),
([body(50., 40., 10., t), body(50., 60., 3., is_sensor=True)], None, {}, "overlaps"),
([body(50., 40., 10., t), body(64., 40., 3., is_force_region=True)], None, {}, "overlaps"),
([body(50., 40., 10., t)], None, {"streaming": "esopull"}, "double_buffer"),
([body(50., 40., 10., t)], None, {"ddf_shifting": True}, "unshifted"),
([body(50., 40., 10., t)], None, {"is_d2q9": False}, "D2Q9")]
for objects, flags, cfg, match in cases:
with pytest.raises(ValueError, match=match):
validate(monkeypatch, objects, flags, **cfg)
def test_initialize_validates_before_mutation(monkeypatch):
sim = routed_simulation(monkeypatch)
sim.bodies.add(body(10., 40., 10., Translation((0., 0., 0., 0.), .1)))
uploads = []
sim.field = SimpleNamespace(nx=120, ny=80, build_channel_flags=lambda: np.full(9600, FLUID, np.uint16),
upload_flags=lambda: uploads.append("flags"))
sim._assert_allocation_contract = lambda: None
with pytest.raises(ValueError, match="domain edge"):
sim.initialize()
assert uploads == [] and not sim._initialized
def test_moving_circle_excluded_from_static_links():
def manager(*objects):
mgr = ObjectManager(nx=120, ny=80, nz=1, nq=9, cfg=Cfg())
ids = [mgr.add(obj) for obj in objects]
return mgr, ids
reference_mgr, _ = manager(body(100., 40., 5.), body(20., 40., 6.))
mixed_mgr, ids = manager(body(100., 40., 5.), body(20., 40., 6.),
body(55., 40., 10., Translation((0., 0., -1., 1.), .1)))
reference = reference_mgr.build_compact_lists_for(reference_mgr.objects)
mixed = mixed_mgr.build_compact_lists_for(mixed_mgr.objects)
for a, b in zip(reference[:8], mixed[:8]): # static link columns byte-identical
assert np.asarray(a).tobytes() == np.asarray(b).tobytes()
assert len(reference[0]) > 0 and ids[2] not in set(np.asarray(mixed[3]).tolist())
def test_failed_moving_step_marks_simulation_failed(monkeypatch):
sim, writes, motion = routed_advancing_simulation(monkeypatch)
sim.ctx = ClosableOwner()
sim.set_body(0, offset=(0., .2), vy=.05)
def fail(*_):
raise RuntimeError("sync failed")
with pytest.raises(RuntimeError, match="sync failed"):
sim.run(1, stream=SimpleNamespace(synchronize=fail))
assert sim._failed is not None and motion.applied == (0., 0.)
for call in (lambda: sim.run(0), lambda: sim.run(1), sim.step, sim.sync_bodies,
sim.save_checkpoint, lambda: sim.load_checkpoint("x.h5")):
with pytest.raises(RuntimeError, match="Simulation failed"):
call()
with pytest.raises(RuntimeError, match="unknown"): # no retry on the failed circle
sim.set_body(0, offset=(0., .1), vy=.05)
with sim.ctx.activate(): # a refused close keeps the failed state and resources
with pytest.raises(RuntimeError, match="active CUDA"):
sim.close()
assert sim._failed is not None and sim.bodies is not None and not sim._closed
sim.close() # retry outside the activation succeeds
assert sim._closed and sim._failed is not None
with pytest.raises(RuntimeError, match="CUDA context is closed"): # no re-entry after close
sim.run(1)
with pytest.raises(RuntimeError, match="unknown"): # the failed circle stays refused
motion.record()
+2 -5
View File
@@ -294,11 +294,8 @@ def test_passive_overlap_failure_keeps_live_state(device, entry, second_x):
sim = SimpleNamespace(bodies=bodies, field=field, lbm_cfg=field.cfg,
_initialized=entry == "runtime_edit",
_assert_allocation_contract=lambda: None,
stream=SimpleNamespace(synchronize=device.synchronize),
stepper=SimpleNamespace(blocked=None))
for name in ("_require_usable", "_moving_bodies", "_reject_moving_bodies",
"_validate_moving_bodies", "_attach_moving"):
setattr(sim, name, getattr(Simulation, name).__get__(sim))
stream=SimpleNamespace(synchronize=device.synchronize))
sim._require_usable = Simulation._require_usable.__get__(sim)
with pytest.raises(ValueError, match="active fluid receivers|unique cut-link writers"):
if entry == "sync":
bodies.sync_to_gpu(field)
-105
View File
@@ -1,105 +0,0 @@
"""CPU tests of the predeclared VIV logic (research/viv_re150/viv.py; stdlib only)."""
import importlib.util
import math
from pathlib import Path
_spec = importlib.util.spec_from_file_location(
"viv_logic", Path(__file__).resolve().parents[2] / "research/viv_re150/viv.py")
viv = importlib.util.module_from_spec(_spec)
_spec.loader.exec_module(viv)
def _load(rel, name):
"""Load a research driver module under a unique name (no bare ``import run``)."""
import sys
path = Path(__file__).resolve().parents[2] / rel
sys.path.insert(0, str(path.parent)) # for the driver's own sibling imports
try:
spec = importlib.util.spec_from_file_location(name, path)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
finally:
sys.path.remove(str(path.parent))
return mod
D, U = 40, 0.04
def _feed(cyc, amps, period=100):
"""Feed sine cycles of the given amplitudes (in D); return the first non-None result."""
n = 0
for a in amps:
for i in range(period):
out = cyc.update(a * D * math.sin(2 * math.pi * (i + 1) / period))
n += 1
if out:
return out, n
return None, n
def test_structure_exact_update_conserves_free_oscillation_and_equilibrium():
s = viv.Structure(D, U)
assert math.isclose(1 / s.f_n, 5000.0) and math.isclose(s.m, 2 * D * D)
s.y, s.v = 0.3 * D, 0.0
e0 = 0.5 * s.k * s.y ** 2
for _ in range(12345):
s.y, s.v = s.candidate(0.0)
assert math.isclose(0.5 * s.k * s.y ** 2 + 0.5 * s.m * s.v ** 2, e0, rel_tol=1e-9)
s.y, s.v = 2.0 / s.k, 0.0
assert all(math.isclose(a, b, abs_tol=1e-12) for a, b in zip(s.candidate(2.0), (2.0 / s.k, 0.0)))
assert math.isclose(s.seed_velocity(D) / s.w, viv.ELIGIBLE * D)
def test_constant_amplitude_settles_then_scores_twenty_cycles():
cyc = viv.Cycles(D)
out, _ = _feed(cyc, [0.5] * 60)
assert out == "scored" and len(cyc.window) == 20 and cyc.settled_at == 1
r = viv.score(cyc.window)
assert math.isclose(r["A_max"], 0.5, rel_tol=1e-3) and abs(r["offset"]) < 1e-3
assert r["T_resp"] == 100 and r["within_band"] # |.500 - .520| <= .052
def test_small_cycles_are_not_counted_and_y0_is_not_a_crossing():
cyc = viv.Cycles(D)
assert cyc.update(0.0) is None and cyc.log == []
out, _ = _feed(cyc, [0.005] * 50)
assert out is None and cyc.counted == 0 and cyc.log and not any(c["eligible"] for c in cyc.log)
def test_scoring_failure_restarts_from_the_failing_block():
cyc = viv.Cycles(D)
amps = [0.5] * 20 + [0.55] * 10 + [0.55] * 40 # settle at block 1, block 2 jumps 10 %
out, _ = _feed(cyc, amps)
assert out == "scored"
assert all(math.isclose(c["amp"], 0.55, rel_tol=1e-3) for c in cyc.window)
def test_seed_reset_discards_incomplete_cycle_and_proof():
cyc = viv.Cycles(D)
_feed(cyc, [0.5] * 15)
cyc.update(0.2 * D) # inside an incomplete cycle
counted = cyc.counted
cyc.discard_current()
cyc.reset_proof()
assert cyc.amps == [] and cyc.blocks == [] and cyc.counted == counted
def test_viv_config_passes_the_real_loader(tmp_path):
import json
run = _load("research/viv_re150/run.py", "viv_run")
from CelerisLab.config import load_lbm_config
cfg_dict, nx, ny = run.config()
path = tmp_path / "config_lbm.json"
path.write_text(json.dumps(cfg_dict))
cfg = load_lbm_config(str(path))
assert (cfg.nx, cfg.ny) == (nx, ny) == (3000, 2400)
assert cfg.collision == "MRT" and cfg.y_wall_bc == "free_slip" and cfg.velocity == .04
assert math.isclose(cfg.viscosity, .04 * 40 / 150)
def test_finite_rejects_any_nonfinite_recorded_output():
row = (3, .1, .2, .3, .4, .5, .6, .7, 0.0)
assert viv.finite(row)
for i in range(len(row)):
for bad in (float("nan"), float("inf"), -float("inf")):
assert not viv.finite(row[:i] + (bad,) + row[i + 1:])